From 229404b5511ed8708aa593fa732ddd22b911c6e8 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 01:45:53 -0800 Subject: [PATCH 01/22] slice1: implement typed call with SignatureSchema and CallOutcome --- crates/dspy-rs/Cargo.toml | 4 + crates/dspy-rs/src/adapter/chat.rs | 180 ++++++---- crates/dspy-rs/src/core/call_outcome.rs | 225 ++++++++++++ crates/dspy-rs/src/core/call_result.rs | 79 +++-- crates/dspy-rs/src/core/mod.rs | 8 +- crates/dspy-rs/src/core/module.rs | 32 +- crates/dspy-rs/src/core/schema.rs | 323 ++++++++++++++++++ crates/dspy-rs/src/core/signature.rs | 42 ++- crates/dspy-rs/src/lib.rs | 1 + crates/dspy-rs/src/optimizer/gepa.rs | 12 +- crates/dspy-rs/src/optimizer/mipro.rs | 2 + crates/dspy-rs/src/predictors/predict.rs | 318 ++++++++++------- crates/dspy-rs/tests/test_call_outcome.rs | 69 ++++ .../dspy-rs/tests/test_chat_adapter_schema.rs | 70 ++++ crates/dspy-rs/tests/test_signature_schema.rs | 95 ++++++ crates/dspy-rs/tests/typed_integration.rs | 40 ++- crates/dsrs-macros/src/lib.rs | 57 +++- docs/plans/modules/slice_1.md | 151 ++++++++ docs/plans/modules/slice_1_refinery.md | 25 ++ docs/plans/modules/slice_1_research.md | 42 +++ docs/plans/modules/slice_1_review.md | 10 + docs/plans/modules/tracker.md | 47 +++ 22 files changed, 1596 insertions(+), 236 deletions(-) create mode 100644 crates/dspy-rs/src/core/call_outcome.rs create mode 100644 crates/dspy-rs/src/core/schema.rs create mode 100644 crates/dspy-rs/tests/test_call_outcome.rs create mode 100644 crates/dspy-rs/tests/test_chat_adapter_schema.rs create mode 100644 crates/dspy-rs/tests/test_signature_schema.rs create mode 100644 docs/plans/modules/slice_1.md create mode 100644 docs/plans/modules/slice_1_refinery.md create mode 100644 docs/plans/modules/slice_1_research.md create mode 100644 docs/plans/modules/slice_1_review.md create mode 100644 docs/plans/modules/tracker.md diff --git a/crates/dspy-rs/Cargo.toml b/crates/dspy-rs/Cargo.toml index 16f99ec3..0b8d4438 100644 --- a/crates/dspy-rs/Cargo.toml +++ b/crates/dspy-rs/Cargo.toml @@ -46,3 +46,7 @@ tracing-subscriber = { version = "0.3.22", features = ["env-filter", "fmt"] } [package.metadata.cargo-machete] ignored = ["rig-core"] + +[features] +default = [] +nightly-try = [] diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 79770a7c..5305b603 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -19,12 +19,13 @@ use crate::{ JsonishError, LM, Message, MetaSignature, OutputFormatContent, ParseError, Prediction, RenderOptions, Signature, TypeIR, }; +use crate::{CallMetadata, CallOutcomeErrorKind}; #[derive(Default, Clone)] pub struct ChatAdapter; static FIELD_HEADER_PATTERN: LazyLock = - LazyLock::new(|| Regex::new(r"^\[\[ ## (\w+) ## \]\]").unwrap()); + LazyLock::new(|| Regex::new(r"^\[\[ ## ([^#]+?) ## \]\]").unwrap()); fn render_field_type_schema( parent_format: &OutputFormatContent, @@ -195,16 +196,19 @@ impl ChatAdapter { &self, instruction_override: Option<&str>, ) -> String { - let instruction = instruction_override.unwrap_or(S::instruction()); + let schema = S::schema(); + let instruction = instruction_override.unwrap_or(schema.instruction()); let instruction = if instruction.is_empty() { - let input_fields = S::input_fields() + let input_fields = schema + .input_fields() .iter() - .map(|field| format!("`{}`", field.name)) + .map(|field| format!("`{}`", field.lm_name)) .collect::>() .join(", "); - let output_fields = S::output_fields() + let output_fields = schema + .output_fields() .iter() - .map(|field| format!("`{}`", field.name)) + .map(|field| format!("`{}`", field.lm_name)) .collect::>() .join(", "); format!("Given the fields {input_fields}, produce the fields {output_fields}.") @@ -223,17 +227,18 @@ impl ChatAdapter { } fn format_response_instructions_typed(&self) -> String { - let mut output_fields = S::output_fields().iter(); + let schema = S::schema(); + let mut output_fields = schema.output_fields().iter(); let Some(first_field) = output_fields.next() else { return "Respond with the marker for `[[ ## completed ## ]]`.".to_string(); }; let mut message = format!( "Respond with the corresponding output fields, starting with the field `[[ ## {} ## ]]`,", - first_field.name + first_field.lm_name ); for field in output_fields { - message.push_str(&format!(" then `[[ ## {} ## ]]`,", field.name)); + message.push_str(&format!(" then `[[ ## {} ## ]]`,", field.lm_name)); } message.push_str(" and then ending with the marker for `[[ ## completed ## ]]`."); @@ -452,29 +457,30 @@ impl ChatAdapter { } fn format_field_descriptions_typed(&self) -> String { + let schema = S::schema(); let input_format = ::baml_output_format(); - let output_format = S::output_format_content(); + let output_format = schema.output_format(); let mut lines = Vec::new(); lines.push("Your input fields are:".to_string()); - for (i, field) in S::input_fields().iter().enumerate() { - let type_name = render_type_name_for_prompt(&(field.type_ir)(), Some(input_format)); - let mut line = format!("{}. `{}` ({type_name})", i + 1, field.name); - if !field.description.is_empty() { + for (i, field) in schema.input_fields().iter().enumerate() { + let type_name = render_type_name_for_prompt(&field.type_ir, Some(input_format)); + let mut line = format!("{}. `{}` ({type_name})", i + 1, field.lm_name); + if !field.docs.is_empty() { line.push_str(": "); - line.push_str(field.description); + line.push_str(&field.docs); } lines.push(line); } lines.push(String::new()); lines.push("Your output fields are:".to_string()); - for (i, field) in S::output_fields().iter().enumerate() { - let type_name = render_type_name_for_prompt(&(field.type_ir)(), Some(output_format)); - let mut line = format!("{}. `{}` ({type_name})", i + 1, field.name); - if !field.description.is_empty() { + for (i, field) in schema.output_fields().iter().enumerate() { + let type_name = render_type_name_for_prompt(&field.type_ir, Some(output_format)); + let mut line = format!("{}. `{}` ({type_name})", i + 1, field.lm_name); + if !field.docs.is_empty() { line.push_str(": "); - line.push_str(field.description); + line.push_str(&field.docs); } lines.push(line); } @@ -483,30 +489,30 @@ impl ChatAdapter { } fn format_field_structure_typed(&self) -> Result { + let schema = S::schema(); let mut lines = vec![ "All interactions will be structured in the following way, with the appropriate values filled in.".to_string(), String::new(), ]; - for field in S::input_fields() { - lines.push(format!("[[ ## {} ## ]]", field.name)); - lines.push(field.name.to_string()); + for field in schema.input_fields() { + lines.push(format!("[[ ## {} ## ]]", field.lm_name)); + lines.push(field.lm_name.to_string()); lines.push(String::new()); } - let parent_format = S::output_format_content(); - for field in S::output_fields() { - let type_ir = (field.type_ir)(); - let type_name = render_type_name_for_prompt(&type_ir, Some(parent_format)); - let schema = render_field_type_schema(parent_format, &type_ir)?; - lines.push(format!("[[ ## {} ## ]]", field.name)); + let parent_format = schema.output_format(); + for field in schema.output_fields() { + let type_name = render_type_name_for_prompt(&field.type_ir, Some(parent_format)); + let rendered_schema = render_field_type_schema(parent_format, &field.type_ir)?; + lines.push(format!("[[ ## {} ## ]]", field.lm_name)); lines.push(format!( "Output field `{}` should be of type: {type_name}", - field.name + field.lm_name )); - if !schema.is_empty() && schema != type_name { + if !rendered_schema.is_empty() && rendered_schema != type_name { lines.push(String::new()); - lines.push(format_schema_for_prompt(&schema)); + lines.push(format_schema_for_prompt(&rendered_schema)); } lines.push(String::new()); } @@ -520,16 +526,14 @@ impl ChatAdapter { where S::Input: BamlType, { + let schema = S::schema(); let baml_value = input.to_baml_value(); - let Some(fields) = baml_value_fields(&baml_value) else { - return String::new(); - }; let input_output_format = ::baml_output_format(); let mut result = String::new(); - for field_spec in S::input_fields() { - if let Some(value) = fields.get(field_spec.rust_name) { - result.push_str(&format!("[[ ## {} ## ]]\n", field_spec.name)); + for field_spec in schema.input_fields() { + if let Some(value) = value_for_path(&baml_value, field_spec.path()) { + result.push_str(&format!("[[ ## {} ## ]]\n", field_spec.lm_name)); result.push_str(&format_baml_value_for_prompt_typed( value, input_output_format, @@ -546,17 +550,15 @@ impl ChatAdapter { where S::Output: BamlType, { + let schema = S::schema(); let baml_value = output.to_baml_value(); - let Some(fields) = baml_value_fields(&baml_value) else { - return String::new(); - }; let mut sections = Vec::new(); - for field_spec in S::output_fields() { - if let Some(value) = fields.get(field_spec.rust_name) { + for field_spec in schema.output_fields() { + if let Some(value) = value_for_path(&baml_value, field_spec.path()) { sections.push(format!( "[[ ## {} ## ]]\n{}", - field_spec.name, + field_spec.lm_name, format_baml_value_for_prompt(value) )); } @@ -585,15 +587,16 @@ impl ChatAdapter { skip(self, response), fields( signature = std::any::type_name::(), - output_field_count = S::output_fields().len() + output_field_count = S::schema().output_fields().len() ) )] pub fn parse_response_typed( &self, response: &Message, ) -> std::result::Result<(S::Output, IndexMap), ParseError> { + let schema = S::schema(); let content = response.content(); - let output_format = S::output_format_content(); + let output_format = schema.output_format(); let sections = parse_sections(&content); let mut metas = IndexMap::new(); @@ -603,11 +606,11 @@ impl ChatAdapter { let mut checks_failed = 0usize; let mut asserts_failed = 0usize; - for field in S::output_fields() { - let rust_name = field.rust_name.to_string(); - let type_ir = (field.type_ir)(); + for field in schema.output_fields() { + let rust_name = field.rust_name.clone(); + let type_ir = field.type_ir.clone(); - let raw_text = match sections.get(field.name) { + let raw_text = match sections.get(field.lm_name) { Some(text) => text.clone(), None => { debug!(field = %rust_name, "missing output field in response"); @@ -717,7 +720,7 @@ impl ChatAdapter { }, ); - output_map.insert(rust_name, baml_value); + insert_baml_at_path(&mut output_map, field.path(), baml_value); } if !errors.is_empty() { @@ -753,6 +756,25 @@ impl ChatAdapter { Ok((typed_output, metas)) } + pub fn parse_response_with_schema( + &self, + response: Message, + ) -> std::result::Result<(S::Output, CallMetadata), CallOutcomeErrorKind> { + let raw_response = response.content(); + let (output, field_meta) = self + .parse_response_typed::(&response) + .map_err(CallOutcomeErrorKind::Parse)?; + let metadata = CallMetadata::new( + raw_response, + crate::LmUsage::default(), + Vec::new(), + Vec::new(), + None, + field_meta, + ); + Ok((output, metadata)) + } + #[tracing::instrument( name = "dsrs.adapter.chat.parse", level = "debug", @@ -830,7 +852,7 @@ fn parse_sections(content: &str) -> IndexMap { for line in content.lines() { let trimmed = line.trim(); if let Some(caps) = FIELD_HEADER_PATTERN.captures(trimmed) { - let header = caps.get(1).unwrap().as_str().to_string(); + let header = caps.get(1).unwrap().as_str().trim().to_string(); let marker = caps.get(0).unwrap(); let remaining = trimmed[marker.end()..].trim(); @@ -858,14 +880,54 @@ fn parse_sections(content: &str) -> IndexMap { parsed } -fn baml_value_fields( - value: &BamlValue, -) -> Option<&bamltype::baml_types::BamlMap> { - match value { - BamlValue::Class(_, fields) => Some(fields), - BamlValue::Map(fields) => Some(fields), - _ => None, +fn value_for_path<'a>(value: &'a BamlValue, path: &crate::FieldPath) -> Option<&'a BamlValue> { + let mut current = value; + for part in path.iter() { + current = match current { + BamlValue::Class(_, fields) | BamlValue::Map(fields) => fields.get(part)?, + _ => return None, + }; } + Some(current) +} + +fn insert_baml_at_path( + root: &mut bamltype::baml_types::BamlMap, + path: &crate::FieldPath, + value: BamlValue, +) { + let parts: Vec<_> = path.iter().collect(); + if parts.is_empty() { + return; + } + insert_baml_at_parts(root, &parts, value); +} + +fn insert_baml_at_parts( + root: &mut bamltype::baml_types::BamlMap, + parts: &[&'static str], + value: BamlValue, +) { + if parts.len() == 1 { + root.insert(parts[0].to_string(), value); + return; + } + + let key = parts[0].to_string(); + let entry = root + .entry(key) + .or_insert_with(|| BamlValue::Map(bamltype::baml_types::BamlMap::new())); + + if !matches!(entry, BamlValue::Map(_) | BamlValue::Class(_, _)) { + *entry = BamlValue::Map(bamltype::baml_types::BamlMap::new()); + } + + let child = match entry { + BamlValue::Map(map) | BamlValue::Class(_, map) => map, + _ => unreachable!(), + }; + + insert_baml_at_parts(child, &parts[1..], value); } fn format_baml_value_for_prompt(value: &BamlValue) -> String { diff --git a/crates/dspy-rs/src/core/call_outcome.rs b/crates/dspy-rs/src/core/call_outcome.rs new file mode 100644 index 00000000..40cc3845 --- /dev/null +++ b/crates/dspy-rs/src/core/call_outcome.rs @@ -0,0 +1,225 @@ +use std::ops::{Deref, DerefMut}; + +use bamltype::baml_types::BamlValue; +use indexmap::IndexMap; +use rig::message::ToolCall; + +use crate::{ConversionError, Flag, LmError, LmUsage, ParseError, PredictError}; + +#[derive(Debug, Clone)] +pub struct FieldMeta { + pub raw_text: String, + pub flags: Vec, + pub checks: Vec, +} + +#[derive(Debug, Clone)] +pub struct ConstraintResult { + pub label: String, + pub expression: String, + pub passed: bool, +} + +#[derive(Debug, Clone)] +pub struct CallMetadata { + pub raw_response: String, + pub lm_usage: LmUsage, + pub tool_calls: Vec, + pub tool_executions: Vec, + pub node_id: Option, + pub field_meta: IndexMap, +} + +impl Default for CallMetadata { + fn default() -> Self { + Self { + raw_response: String::new(), + lm_usage: LmUsage::default(), + tool_calls: Vec::new(), + tool_executions: Vec::new(), + node_id: None, + field_meta: IndexMap::new(), + } + } +} + +impl CallMetadata { + pub fn new( + raw_response: String, + lm_usage: LmUsage, + tool_calls: Vec, + tool_executions: Vec, + node_id: Option, + field_meta: IndexMap, + ) -> Self { + Self { + raw_response, + lm_usage, + tool_calls, + tool_executions, + node_id, + field_meta, + } + } + + pub fn field_meta(&self) -> &IndexMap { + &self.field_meta + } + + pub fn field_flags(&self, field: &str) -> &[Flag] { + self.field_meta + .get(field) + .map(|meta| meta.flags.as_slice()) + .unwrap_or(&[]) + } + + pub fn field_checks(&self, field: &str) -> &[ConstraintResult] { + self.field_meta + .get(field) + .map(|meta| meta.checks.as_slice()) + .unwrap_or(&[]) + } + + pub fn field_raw(&self, field: &str) -> Option<&str> { + self.field_meta.get(field).map(|meta| meta.raw_text.as_str()) + } + + pub fn field_names(&self) -> impl Iterator + '_ { + self.field_meta.keys().map(|name| name.as_str()) + } + + pub fn has_failed_checks(&self) -> bool { + self.field_meta + .values() + .flat_map(|meta| &meta.checks) + .any(|check| !check.passed) + } +} + +#[derive(Debug, thiserror::Error)] +pub enum CallOutcomeErrorKind { + #[error("LM call failed")] + Lm(#[source] LmError), + + #[error("failed to parse LLM response")] + Parse(#[source] ParseError), + + #[error("failed to convert parsed value to output type")] + Conversion(#[source] ConversionError, BamlValue), +} + +#[derive(Debug, thiserror::Error)] +#[error("call outcome failed: {kind}")] +pub struct CallOutcomeError { + pub metadata: CallMetadata, + pub kind: CallOutcomeErrorKind, +} + +impl CallOutcomeError { + pub fn into_predict_error(self) -> PredictError { + match self.kind { + CallOutcomeErrorKind::Lm(source) => PredictError::Lm { source }, + CallOutcomeErrorKind::Parse(source) => PredictError::Parse { + source, + raw_response: self.metadata.raw_response, + lm_usage: self.metadata.lm_usage, + }, + CallOutcomeErrorKind::Conversion(source, parsed) => PredictError::Conversion { + source, + parsed, + }, + } + } +} + +pub struct CallOutcome { + metadata: CallMetadata, + result: Result, +} + +impl CallOutcome { + pub fn ok(output: O, metadata: CallMetadata) -> Self { + Self { + metadata, + result: Ok(output), + } + } + + pub fn err(kind: CallOutcomeErrorKind, metadata: CallMetadata) -> Self { + Self { + metadata, + result: Err(kind), + } + } + + pub fn metadata(&self) -> &CallMetadata { + &self.metadata + } + + pub fn into_result(self) -> Result { + match self.result { + Ok(output) => Ok(output), + Err(kind) => Err(CallOutcomeError { + metadata: self.metadata, + kind, + }), + } + } + + pub fn try_into_result(self) -> Result { + self.into_result() + } + + pub fn into_parts(self) -> (Result, CallMetadata) { + (self.result, self.metadata) + } + + pub fn result(&self) -> &Result { + &self.result + } +} + +impl Deref for CallOutcome { + type Target = Result; + + fn deref(&self) -> &Self::Target { + &self.result + } +} + +impl DerefMut for CallOutcome { + fn deref_mut(&mut self) -> &mut Self::Target { + &mut self.result + } +} + +#[cfg(feature = "nightly-try")] +impl std::ops::Try for CallOutcome { + type Output = O; + type Residual = CallOutcome; + + fn from_output(output: Self::Output) -> Self { + Self::ok(output, CallMetadata::default()) + } + + fn branch(self) -> std::ops::ControlFlow { + match self.into_parts() { + (Ok(value), _) => std::ops::ControlFlow::Continue(value), + (Err(err), metadata) => { + std::ops::ControlFlow::Break(CallOutcome::err(err, metadata)) + } + } + } +} + +#[cfg(feature = "nightly-try")] +impl std::ops::FromResidual> for CallOutcome { + fn from_residual(residual: CallOutcome) -> Self { + let (result, metadata) = residual.into_parts(); + let err = match result { + Ok(value) => match value {}, + Err(err) => err, + }; + CallOutcome::err(err, metadata) + } +} diff --git a/crates/dspy-rs/src/core/call_result.rs b/crates/dspy-rs/src/core/call_result.rs index bbfa5544..a9349a8e 100644 --- a/crates/dspy-rs/src/core/call_result.rs +++ b/crates/dspy-rs/src/core/call_result.rs @@ -1,41 +1,31 @@ -use indexmap::IndexMap; -use rig::message::ToolCall; +use crate::LmUsage; -use crate::{Flag, LmUsage}; +use super::{CallMetadata, CallOutcome, CallOutcomeError, ConstraintResult, FieldMeta}; +#[deprecated( + since = "0.7.4", + note = "Use CallOutcome as the primary typed call surface" +)] pub struct CallResult { pub output: O, pub raw_response: String, pub lm_usage: LmUsage, - pub tool_calls: Vec, + pub tool_calls: Vec, pub tool_executions: Vec, pub node_id: Option, - fields: IndexMap, -} - -#[derive(Debug, Clone)] -pub struct FieldMeta { - pub raw_text: String, - pub flags: Vec, - pub checks: Vec, -} - -#[derive(Debug, Clone)] -pub struct ConstraintResult { - pub label: String, - pub expression: String, - pub passed: bool, + fields: indexmap::IndexMap, } +#[allow(deprecated)] impl CallResult { pub fn new( output: O, raw_response: String, lm_usage: LmUsage, - tool_calls: Vec, + tool_calls: Vec, tool_executions: Vec, node_id: Option, - fields: IndexMap, + fields: indexmap::IndexMap, ) -> Self { Self { output, @@ -48,7 +38,7 @@ impl CallResult { } } - pub fn field_flags(&self, field: &str) -> &[Flag] { + pub fn field_flags(&self, field: &str) -> &[crate::Flag] { self.fields .get(field) .map(|meta| meta.flags.as_slice()) @@ -67,7 +57,7 @@ impl CallResult { } pub fn field_names(&self) -> impl Iterator + '_ { - self.fields.keys().map(|name| name.as_str()) + self.fields.keys().map(|name: &String| name.as_str()) } pub fn has_failed_checks(&self) -> bool { @@ -76,6 +66,46 @@ impl CallResult { .flat_map(|meta| &meta.checks) .any(|check| !check.passed) } + + pub fn into_outcome(self) -> CallOutcome { + CallOutcome::ok( + self.output, + CallMetadata::new( + self.raw_response, + self.lm_usage, + self.tool_calls, + self.tool_executions, + self.node_id, + self.fields, + ), + ) + } +} + +#[allow(deprecated)] +impl From> for CallOutcome { + fn from(value: CallResult) -> Self { + value.into_outcome() + } +} + +#[allow(deprecated)] +impl TryFrom> for CallResult { + type Error = CallOutcomeError; + + fn try_from(value: CallOutcome) -> Result { + let metadata = value.metadata().clone(); + let output = value.into_result()?; + Ok(Self::new( + output, + metadata.raw_response, + metadata.lm_usage, + metadata.tool_calls, + metadata.tool_executions, + metadata.node_id, + metadata.field_meta, + )) + } } #[cfg(test)] @@ -84,7 +114,7 @@ mod tests { #[test] fn call_result_accessors() { - let mut fields = IndexMap::new(); + let mut fields = indexmap::IndexMap::new(); fields.insert( "answer".to_string(), FieldMeta { @@ -98,6 +128,7 @@ mod tests { }, ); + #[allow(deprecated)] let result = CallResult::new( "ok", "raw".to_string(), diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index a065a430..f4ce1906 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -1,15 +1,21 @@ +mod call_outcome; mod call_result; mod errors; pub mod lm; pub mod module; +mod schema; pub mod settings; pub mod signature; pub mod specials; -pub use call_result::{CallResult, ConstraintResult, FieldMeta}; +pub use call_outcome::{ + CallMetadata, CallOutcome, CallOutcomeError, CallOutcomeErrorKind, ConstraintResult, FieldMeta, +}; +pub use call_result::CallResult; pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; pub use lm::*; pub use module::*; +pub use schema::{FieldMetadataSpec, FieldPath, FieldSchema, SignatureSchema}; pub use settings::*; pub use signature::*; pub use specials::*; diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index d7dd72d8..e7c6a969 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -4,20 +4,26 @@ use indexmap::IndexMap; use kdam::{BarExt, tqdm}; use tracing::debug; -use crate::{BamlValue, ConversionError, Example, PredictError, Prediction, core::MetaSignature}; +use crate::{ + BamlValue, CallMetadata, CallOutcome, CallOutcomeErrorKind, ConversionError, Example, + Prediction, core::MetaSignature, +}; #[allow(async_fn_in_trait)] pub trait Module: Send + Sync { - async fn forward(&self, inputs: Example) -> Result; + async fn forward(&self, inputs: Example) -> CallOutcome; - async fn forward_untyped(&self, input: BamlValue) -> Result { - Err(PredictError::Conversion { - source: ConversionError::TypeMismatch { - expected: "typed module", - actual: "legacy module".to_string(), - }, - parsed: input, - }) + async fn forward_untyped(&self, input: BamlValue) -> CallOutcome { + CallOutcome::err( + CallOutcomeErrorKind::Conversion( + ConversionError::TypeMismatch { + expected: "typed module", + actual: "legacy module".to_string(), + }, + input, + ), + CallMetadata::default(), + ) } #[tracing::instrument( @@ -47,7 +53,11 @@ pub trait Module: Send + Sync { let indexed_results: Vec<(usize, Result)> = stream::iter(inputs.into_iter().enumerate()) .map(|(idx, example)| async move { - let result = self.forward(example).await; + let result = self + .forward(example) + .await + .into_result() + .map_err(|err| anyhow::anyhow!(err)); (idx, result) }) .buffer_unordered(max_concurrency) diff --git a/crates/dspy-rs/src/core/schema.rs b/crates/dspy-rs/src/core/schema.rs new file mode 100644 index 00000000..515e3537 --- /dev/null +++ b/crates/dspy-rs/src/core/schema.rs @@ -0,0 +1,323 @@ +use std::any::TypeId; +use std::collections::HashMap; +use std::sync::{Arc, Mutex, OnceLock}; + +use bamltype::baml_types::BamlValue; +use bamltype::baml_types::TypeIR; +use bamltype::facet::{Def, Field, Shape, Type, UserType}; +use bamltype::internal_baml_jinja::types::OutputFormatContent; +use bamltype::build_type_ir_from_shape; + +use crate::{Constraint, ConstraintKind, ConstraintSpec, Signature}; + +#[derive(Debug, Clone, PartialEq, Eq, Hash)] +pub struct FieldPath { + parts: Vec<&'static str>, +} + +impl FieldPath { + pub fn new(parts: impl IntoIterator) -> Self { + Self { + parts: parts.into_iter().collect(), + } + } + + pub fn push(&mut self, part: &'static str) { + self.parts.push(part); + } + + pub fn iter(&self) -> impl Iterator + '_ { + self.parts.iter().copied() + } + + pub fn display(&self) -> String { + self.parts.join(".") + } + + pub fn is_empty(&self) -> bool { + self.parts.is_empty() + } +} + +#[derive(Debug, Clone, Copy)] +pub struct FieldMetadataSpec { + pub rust_name: &'static str, + pub alias: Option<&'static str>, + pub constraints: &'static [ConstraintSpec], + pub format: Option<&'static str>, +} + +#[derive(Debug, Clone)] +pub struct FieldSchema { + pub lm_name: &'static str, + pub rust_name: String, + pub docs: String, + pub type_ir: TypeIR, + pub shape: &'static Shape, + pub path: FieldPath, + pub constraints: &'static [ConstraintSpec], + pub format: Option<&'static str>, +} + +impl FieldSchema { + pub fn path(&self) -> &FieldPath { + &self.path + } + + pub fn shape(&self) -> &'static Shape { + self.shape + } +} + +#[derive(Debug)] +pub struct SignatureSchema { + instruction: &'static str, + input_fields: Box<[FieldSchema]>, + output_fields: Box<[FieldSchema]>, + output_format: Arc, +} + +impl SignatureSchema { + pub fn of() -> &'static Self { + static CACHE: OnceLock>> = + OnceLock::new(); + + let cache = CACHE.get_or_init(|| Mutex::new(HashMap::new())); + { + let guard = cache.lock().expect("schema cache lock poisoned"); + if let Some(schema) = guard.get(&TypeId::of::()) { + return schema; + } + } + + let built = Self::build::().unwrap_or_else(|err| { + panic!( + "failed to build SignatureSchema for `{}`: {err}", + std::any::type_name::() + ) + }); + let leaked = Box::leak(Box::new(built)); + + let mut guard = cache.lock().expect("schema cache lock poisoned"); + *guard.entry(TypeId::of::()).or_insert(leaked) + } + + fn build() -> Result { + let mut input_fields = collect_fields( + "input", + S::input_shape(), + S::input_field_metadata(), + S::instruction(), + )?; + let mut output_fields = collect_fields( + "output", + S::output_shape(), + S::output_field_metadata(), + S::instruction(), + )?; + + ensure_unique_lm_names("input", &input_fields)?; + ensure_unique_lm_names("output", &output_fields)?; + + // Keep declaration order deterministic. + input_fields.shrink_to_fit(); + output_fields.shrink_to_fit(); + + Ok(Self { + instruction: S::instruction(), + input_fields: input_fields.into_boxed_slice(), + output_fields: output_fields.into_boxed_slice(), + output_format: Arc::new(::baml_output_format().clone()), + }) + } + + pub fn instruction(&self) -> &'static str { + self.instruction + } + + pub fn input_fields(&self) -> &[FieldSchema] { + &self.input_fields + } + + pub fn output_fields(&self) -> &[FieldSchema] { + &self.output_fields + } + + pub fn output_format(&self) -> &OutputFormatContent { + &self.output_format + } + + pub fn navigate_field<'a>( + &self, + path: &FieldPath, + root: &'a BamlValue, + ) -> Option<&'a BamlValue> { + let mut current = root; + for part in path.iter() { + current = match current { + BamlValue::Class(_, map) | BamlValue::Map(map) => map.get(part)?, + _ => return None, + }; + } + Some(current) + } + + pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> { + self.input_fields() + .iter() + .chain(self.output_fields().iter()) + .find(|field| field.rust_name == rust_name) + } + + pub fn field_paths(&self) -> impl Iterator { + self.input_fields + .iter() + .chain(self.output_fields.iter()) + .map(|field| &field.path) + } +} + +fn collect_fields( + side: &'static str, + root_shape: &'static Shape, + metadata: &'static [FieldMetadataSpec], + instruction: &'static str, +) -> Result, String> { + let struct_type = match &root_shape.ty { + Type::User(UserType::Struct(struct_type)) => struct_type, + _ => { + return Err(format!( + "{side} shape for instruction `{instruction}` must be a struct; got `{}`", + root_shape.type_identifier + )); + } + }; + + let mut metadata_by_name = HashMap::new(); + for item in metadata { + metadata_by_name.insert(item.rust_name, item); + } + + let mut fields = Vec::new(); + for field in struct_type.fields.iter() { + if field.should_skip_deserializing() { + continue; + } + let path = FieldPath::new([field.name]); + let field_meta = metadata_by_name.get(field.name).copied(); + emit_field(field, path, field_meta, &mut fields)?; + } + + Ok(fields) +} + +fn emit_field( + field: &'static Field, + path: FieldPath, + inherited: Option<&FieldMetadataSpec>, + out: &mut Vec, +) -> Result<(), String> { + if field.should_skip_deserializing() { + return Ok(()); + } + + if field.is_flattened() { + let shape = flatten_target(field.shape()); + let struct_type = match &shape.ty { + Type::User(UserType::Struct(struct_type)) => struct_type, + _ => { + return Err(format!( + "flattened field `{}` points to non-struct shape `{}`", + path.display(), + shape.type_identifier + )); + } + }; + + for nested in struct_type.fields.iter() { + if nested.should_skip_deserializing() { + continue; + } + let mut nested_path = path.clone(); + nested_path.push(nested.name); + emit_field(nested, nested_path, inherited, out)?; + } + + return Ok(()); + } + + let mut type_ir = build_type_ir_from_shape(field.shape()); + let constraints = inherited.map(|meta| meta.constraints).unwrap_or(&[]); + if !constraints.is_empty() { + type_ir + .meta_mut() + .constraints + .extend(constraints.iter().map(to_baml_constraint)); + } + + let docs = doc_lines(field.doc); + let lm_name = inherited + .and_then(|meta| meta.alias) + .unwrap_or_else(|| field.effective_name()); + let format = inherited.and_then(|meta| meta.format); + + out.push(FieldSchema { + lm_name, + rust_name: path.display(), + docs, + type_ir, + shape: field.shape(), + path, + constraints, + format, + }); + + Ok(()) +} + +fn flatten_target(mut shape: &'static Shape) -> &'static Shape { + loop { + match &shape.def { + Def::Option(option_def) => shape = option_def.t, + Def::Pointer(pointer_def) => { + if let Some(inner) = pointer_def.pointee { + shape = inner; + } else { + return shape; + } + } + _ => return shape, + } + } +} + +fn doc_lines(lines: &'static [&'static str]) -> String { + lines + .iter() + .map(|line| line.trim()) + .filter(|line| !line.is_empty()) + .collect::>() + .join("\n") +} + +fn to_baml_constraint(constraint: &ConstraintSpec) -> Constraint { + match constraint.kind { + ConstraintKind::Check => Constraint::new_check(constraint.label, constraint.expression), + ConstraintKind::Assert => Constraint::new_assert(constraint.label, constraint.expression), + } +} + +fn ensure_unique_lm_names(side: &'static str, fields: &[FieldSchema]) -> Result<(), String> { + let mut by_alias: HashMap<&str, &FieldSchema> = HashMap::new(); + for field in fields { + if let Some(previous) = by_alias.insert(field.lm_name, field) { + return Err(format!( + "{side} field alias collision for `{}` between `{}` and `{}`", + field.lm_name, + previous.path.display(), + field.path.display() + )); + } + } + Ok(()) +} diff --git a/crates/dspy-rs/src/core/signature.rs b/crates/dspy-rs/src/core/signature.rs index b6e37c06..ba0622dc 100644 --- a/crates/dspy-rs/src/core/signature.rs +++ b/crates/dspy-rs/src/core/signature.rs @@ -1,13 +1,22 @@ -use crate::{BamlType, Example, OutputFormatContent, TypeIR}; use anyhow::Result; +use bamltype::Shape; +use facet::Facet; use serde_json::Value; +use crate::{BamlType, Example, OutputFormatContent}; + +use super::{FieldMetadataSpec, SignatureSchema}; + #[derive(Debug, Clone, Copy)] +#[deprecated( + since = "0.7.4", + note = "Use SignatureSchema::input_fields()/output_fields() instead" +)] pub struct FieldSpec { pub name: &'static str, pub rust_name: &'static str, pub description: &'static str, - pub type_ir: fn() -> TypeIR, + pub type_ir: fn() -> crate::TypeIR, pub constraints: &'static [ConstraintSpec], pub format: Option<&'static str>, } @@ -37,13 +46,36 @@ pub trait MetaSignature: Send + Sync { } pub trait Signature: Send + Sync + 'static { - type Input: BamlType + Send + Sync; - type Output: BamlType + Send + Sync; + type Input: BamlType + Facet<'static> + Send + Sync; + type Output: BamlType + Facet<'static> + Send + Sync; fn instruction() -> &'static str; + + fn schema() -> &'static SignatureSchema + where + Self: Sized, + { + SignatureSchema::of::() + } + + fn input_shape() -> &'static Shape; + fn output_shape() -> &'static Shape; + + fn input_field_metadata() -> &'static [FieldMetadataSpec]; + fn output_field_metadata() -> &'static [FieldMetadataSpec]; + + #[allow(deprecated)] fn input_fields() -> &'static [FieldSpec]; + + #[allow(deprecated)] fn output_fields() -> &'static [FieldSpec]; - fn output_format_content() -> &'static OutputFormatContent; + + fn output_format_content() -> &'static OutputFormatContent + where + Self: Sized, + { + Self::schema().output_format() + } fn from_parts(input: Self::Input, output: Self::Output) -> Self; fn into_parts(self) -> (Self::Input, Self::Output); diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index 24894c62..330a7463 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -19,6 +19,7 @@ pub use utils::*; pub use bamltype::BamlConvertError; pub use bamltype::BamlType; // attribute macro +pub use bamltype::Shape; pub use bamltype::baml_types::{ BamlValue, Constraint, ConstraintLevel, ResponseCheck, StreamingMode, TypeIR, }; diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index 2d51f14a..883eb146 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -265,7 +265,11 @@ impl GEPA { let futures: Vec<_> = examples .iter() .map(|example| async move { - let prediction = module.forward(example.clone()).await?; + let prediction = module + .forward(example.clone()) + .await + .into_result() + .map_err(|err| anyhow::anyhow!(err))?; let feedback = module.feedback_metric(example, &prediction).await; Ok::(feedback.score) }) @@ -287,7 +291,11 @@ impl GEPA { let mut traces = Vec::with_capacity(minibatch.len()); for example in minibatch { - let prediction = module.forward(example.clone()).await?; + let prediction = module + .forward(example.clone()) + .await + .into_result() + .map_err(|err| anyhow::anyhow!(err))?; let feedback = module.feedback_metric(example, &prediction).await; // Format trace for LLM reflection diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index d3b760e3..c030c09d 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -246,6 +246,8 @@ impl MIPROv2 { let prediction = module .forward(example.clone()) .await + .into_result() + .map_err(|err| anyhow::anyhow!(err)) .context("Failed to generate prediction for trace")?; // Evaluate the prediction diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index e8810cbf..a2c2c914 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -9,15 +9,27 @@ use std::sync::Arc; use tracing::{debug, trace}; use crate::adapter::Adapter; -use crate::core::{FieldSpec, MetaSignature, Module, Optimizable, Signature}; +use crate::core::{MetaSignature, Module, Optimizable, Signature}; use crate::{ - BamlType, BamlValue, CallResult, Chat, ChatAdapter, Example, GLOBAL_SETTINGS, LM, LmError, - LmUsage, PredictError, Prediction, + BamlType, BamlValue, CallMetadata, CallOutcome, CallOutcomeError, CallOutcomeErrorKind, Chat, + ChatAdapter, Example, FieldSchema, GLOBAL_SETTINGS, LM, LmError, LmUsage, PredictError, + Prediction, }; +pub struct Demo { + pub input: S::Input, + pub output: S::Output, +} + +impl Demo { + pub fn new(input: S::Input, output: S::Output) -> Self { + Self { input, output } + } +} + pub struct Predict { tools: Vec>, - demos: Vec, + demos: Vec>, instruction_override: Option, _marker: PhantomData, } @@ -36,17 +48,8 @@ impl Predict { PredictBuilder::new() } - pub async fn call(&self, input: S::Input) -> Result - where - S: Clone, - S::Input: BamlType, - S::Output: BamlType, - { - Ok(self.call_with_meta(input).await?.output) - } - #[tracing::instrument( - name = "dsrs.predict.call_with_meta", + name = "dsrs.predict.call", level = "debug", skip(self, input), fields( @@ -57,9 +60,8 @@ impl Predict { tracing_graph = crate::trace::is_tracing() ) )] - pub async fn call_with_meta(&self, input: S::Input) -> Result, PredictError> + pub async fn call(&self, input: S::Input) -> CallOutcome where - S: Clone, S::Input: BamlType, S::Output: BamlType, { @@ -70,15 +72,23 @@ impl Predict { }; let chat_adapter = ChatAdapter; - let system = chat_adapter + let system = match chat_adapter .format_system_message_typed_with_instruction::(self.instruction_override.as_deref()) - .map_err(|err| PredictError::Lm { - source: LmError::Provider { - provider: "internal".to_string(), - message: err.to_string(), - source: None, - }, - })?; + { + Ok(system) => system, + Err(err) => { + let metadata = CallMetadata::default(); + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "internal".to_string(), + message: err.to_string(), + source: None, + }), + metadata, + ); + } + }; + let user = chat_adapter.format_user_message_typed::(&input); trace!( system_len = system.len(), @@ -89,23 +99,28 @@ impl Predict { let mut chat = Chat::new(vec![]); chat.push("system", &system); for demo in &self.demos { - let (demo_user, demo_assistant) = chat_adapter.format_demo_typed::(demo.clone()); + let demo_user = chat_adapter.format_user_message_typed::(&demo.input); + let demo_assistant = chat_adapter.format_assistant_message_typed::(&demo.output); chat.push("user", &demo_user); chat.push("assistant", &demo_assistant); } chat.push("user", &user); trace!(message_count = chat.len(), "chat constructed"); - let response = lm - .call(chat, self.tools.clone()) - .await - .map_err(|err| PredictError::Lm { - source: LmError::Provider { - provider: lm.model.clone(), - message: err.to_string(), - source: None, - }, - })?; + let response = match lm.call(chat, self.tools.clone()).await { + Ok(response) => response, + Err(err) => { + let metadata = CallMetadata::default(); + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: lm.model.clone(), + message: err.to_string(), + source: None, + }), + metadata, + ); + } + }; debug!( prompt_tokens = response.usage.prompt_tokens, completion_tokens = response.usage.completion_tokens, @@ -114,26 +129,44 @@ impl Predict { "lm response received" ); + let node_id = if crate::trace::is_tracing() { + crate::trace::record_node( + crate::trace::NodeType::Predict { + signature_name: std::any::type_name::().to_string(), + }, + vec![], + None, + ) + } else { + None + }; + let raw_response = response.output.content().to_string(); let lm_usage = response.usage.clone(); - let (typed_output, field_metas) = - match chat_adapter.parse_response_typed::(&response.output) { - Ok(parsed) => parsed, - Err(err) => { - let fields = err.fields(); - debug!( - failed_fields = fields.len(), - fields = ?fields, - raw_response_len = raw_response.len(), - "typed parse failed" - ); - return Err(PredictError::Parse { - source: err, - raw_response: raw_response.clone(), - lm_usage: lm_usage.clone(), - }); - } - }; + + let (typed_output, field_metas) = match chat_adapter.parse_response_typed::(&response.output) + { + Ok(parsed) => parsed, + Err(err) => { + let failed_fields = err.fields(); + debug!( + failed_fields = failed_fields.len(), + fields = ?failed_fields, + raw_response_len = raw_response.len(), + "typed parse failed" + ); + let metadata = CallMetadata::new( + raw_response, + lm_usage, + response.tool_calls, + response.tool_executions, + node_id, + IndexMap::new(), + ); + return CallOutcome::err(CallOutcomeErrorKind::Parse(err), metadata); + } + }; + let checks_total = field_metas .values() .map(|meta| meta.checks.len()) @@ -149,21 +182,12 @@ impl Predict { .count(); debug!( output_fields = field_metas.len(), - checks_total, checks_failed, flagged_fields, "typed parse completed" + checks_total, + checks_failed, + flagged_fields, + "typed parse completed" ); - let node_id = if crate::trace::is_tracing() { - crate::trace::record_node( - crate::trace::NodeType::Predict { - signature_name: std::any::type_name::().to_string(), - }, - vec![], - None, - ) - } else { - None - }; - if let Some(id) = node_id { match prediction_from_output::(&typed_output, lm_usage.clone(), Some(id)) { Ok(prediction) => { @@ -176,17 +200,16 @@ impl Predict { } } - let output = S::from_parts(input, typed_output); - - Ok(CallResult::new( - output, + let metadata = CallMetadata::new( raw_response, lm_usage, response.tool_calls, response.tool_executions, node_id, field_metas, - )) + ); + + CallOutcome::ok(typed_output, metadata) } } @@ -198,7 +221,7 @@ impl Default for Predict { pub struct PredictBuilder { tools: Vec>, - demos: Vec, + demos: Vec>, instruction_override: Option, _marker: PhantomData, } @@ -213,16 +236,31 @@ impl PredictBuilder { } } - pub fn demo(mut self, demo: S) -> Self { + pub fn demo(mut self, demo: Demo) -> Self { self.demos.push(demo); self } - pub fn with_demos(mut self, demos: impl IntoIterator) -> Self { + pub fn with_demos(mut self, demos: impl IntoIterator>) -> Self { self.demos.extend(demos); self } + #[deprecated(since = "0.7.4", note = "Use PredictBuilder::demo(Demo::new(input, output))")] + pub fn demo_signature(mut self, demo: S) -> Self { + self.demos.push(demo_from_signature(demo)); + self + } + + #[deprecated( + since = "0.7.4", + note = "Use PredictBuilder::with_demos(...) with Demo values" + )] + pub fn with_demo_signatures(mut self, demos: impl IntoIterator) -> Self { + self.demos.extend(demos.into_iter().map(demo_from_signature)); + self + } + pub fn add_tool(mut self, tool: impl ToolDyn + 'static) -> Self { self.tools.push(Arc::new(tool)); self @@ -248,19 +286,19 @@ impl PredictBuilder { } } -fn field_specs_to_value(fields: &[FieldSpec], field_type: &'static str) -> Value { +fn schema_fields_to_value(fields: &[FieldSchema], field_type: &'static str) -> Value { let mut result = serde_json::Map::new(); for field in fields { - let type_repr = (field.type_ir)().diagnostic_repr().to_string(); + let type_repr = field.type_ir.diagnostic_repr().to_string(); let mut meta = serde_json::Map::new(); meta.insert("type".to_string(), json!(type_repr)); - meta.insert("desc".to_string(), json!(field.description)); + meta.insert("desc".to_string(), json!(field.docs)); meta.insert("schema".to_string(), json!("")); meta.insert("__dsrs_field_type".to_string(), json!(field_type)); if let Some(format) = field.format { meta.insert("format".to_string(), json!(format)); } - result.insert(field.rust_name.to_string(), Value::Object(meta)); + result.insert(field.lm_name.to_string(), Value::Object(meta)); } Value::Object(result) } @@ -282,9 +320,10 @@ fn baml_map_from_example_keys( fn input_keys_for_signature(example: &Example) -> Vec { if example.input_keys.is_empty() { - S::input_fields() + S::schema() + .input_fields() .iter() - .map(|field| field.rust_name.to_string()) + .map(|field| field.rust_name.clone()) .collect() } else { example.input_keys.clone() @@ -293,9 +332,10 @@ fn input_keys_for_signature(example: &Example) -> Vec { fn output_keys_for_signature(example: &Example) -> Vec { if example.output_keys.is_empty() { - S::output_fields() + S::schema() + .output_fields() .iter() - .map(|field| field.rust_name.to_string()) + .map(|field| field.rust_name.clone()) .collect() } else { example.output_keys.clone() @@ -322,24 +362,32 @@ where S::Output::try_from_baml_value(baml_value).map_err(|err| anyhow::anyhow!(err)) } -fn signature_from_example(example: Example) -> Result +fn demo_from_signature(signature: S) -> Demo +where + S::Input: BamlType, + S::Output: BamlType, +{ + let (input, output) = signature.into_parts(); + Demo::new(input, output) +} + +fn demo_from_example(example: Example) -> Result> where S::Input: BamlType, S::Output: BamlType, { let input = input_from_example::(&example)?; let output = output_from_example::(&example)?; - Ok(S::from_parts(input, output)) + Ok(Demo::new(input, output)) } -fn example_from_signature(signature: S) -> Result +fn example_from_demo(demo: &Demo) -> Result where S::Input: BamlType, S::Output: BamlType, { - let (input, output) = signature.into_parts(); - let input_value = serde_json::to_value(input.to_baml_value())?; - let output_value = serde_json::to_value(output.to_baml_value())?; + let input_value = serde_json::to_value(demo.input.to_baml_value())?; + let output_value = serde_json::to_value(demo.output.to_baml_value())?; let input_map = input_value .as_object() @@ -382,6 +430,10 @@ where Ok(prediction) } +fn predict_error_from_outcome(kind: CallOutcomeErrorKind, metadata: CallMetadata) -> PredictError { + CallOutcomeError { metadata, kind }.into_predict_error() +} + impl Module for Predict where S: Signature + Clone + BamlType, @@ -398,23 +450,56 @@ where output_keys = inputs.output_keys.len() ) )] - async fn forward(&self, inputs: Example) -> Result { + async fn forward(&self, inputs: Example) -> CallOutcome { let typed_input = input_from_example::(&inputs).map_err(|err| { debug!(error = %err, "typed input conversion failed"); err - })?; - let call_result = self.call_with_meta(typed_input).await.map_err(|err| { - debug!(error = %err, "predict call_with_meta failed"); - anyhow::anyhow!(err) - })?; - let (_, output) = call_result.output.into_parts(); - let prediction = - prediction_from_output::(&output, call_result.lm_usage, call_result.node_id)?; + }); + let typed_input = match typed_input { + Ok(input) => input, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Conversion( + crate::ConversionError::TypeMismatch { + expected: "typed input", + actual: err.to_string(), + }, + BamlValue::Map(BamlMap::new()), + ), + CallMetadata::default(), + ); + } + }; + + let (result, metadata) = self.call(typed_input).await.into_parts(); + let output = match result { + Ok(output) => output, + Err(kind) => return CallOutcome::err(kind, metadata), + }; + let prediction = match prediction_from_output::( + &output, + metadata.lm_usage.clone(), + metadata.node_id, + ) { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Conversion( + crate::ConversionError::TypeMismatch { + expected: "prediction", + actual: err.to_string(), + }, + output.to_baml_value(), + ), + metadata, + ); + } + }; debug!( output_fields = prediction.data.len(), "typed module forward complete" ); - Ok(prediction) + CallOutcome::ok(prediction, metadata) } #[tracing::instrument( @@ -426,17 +511,24 @@ where async fn forward_untyped( &self, input: BamlValue, - ) -> std::result::Result { - let typed_input = S::Input::try_from_baml_value(input.clone()).map_err(|err| { - debug!(error = %err, "untyped input conversion failed"); - PredictError::Conversion { - source: err.into(), - parsed: input, + ) -> CallOutcome { + let typed_input = match S::Input::try_from_baml_value(input.clone()) { + Ok(typed_input) => typed_input, + Err(err) => { + debug!(error = %err, "untyped input conversion failed"); + return CallOutcome::err( + CallOutcomeErrorKind::Conversion(err.into(), input), + CallMetadata::default(), + ); } - })?; - let output = self.call(typed_input).await?; + }; + let (result, metadata) = self.call(typed_input).await.into_parts(); + let output = match result { + Ok(output) => output, + Err(kind) => return CallOutcome::err(kind, metadata), + }; debug!("typed module forward_untyped complete"); - Ok(output.to_baml_value()) + CallOutcome::ok(output.to_baml_value(), metadata) } } @@ -449,17 +541,14 @@ where fn demos(&self) -> Vec { self.demos .iter() - .cloned() - .map(|demo| { - example_from_signature(demo).expect("typed Predict demo conversion should succeed") - }) + .map(|demo| example_from_demo::(demo).expect("typed Predict demo conversion should succeed")) .collect() } fn set_demos(&mut self, demos: Vec) -> Result<()> { self.demos = demos .into_iter() - .map(signature_from_example::) + .map(demo_from_example::) .collect::>>()?; Ok(()) } @@ -471,11 +560,11 @@ where } fn input_fields(&self) -> Value { - field_specs_to_value(S::input_fields(), "input") + schema_fields_to_value(S::schema().input_fields(), "input") } fn output_fields(&self) -> Value { - field_specs_to_value(S::output_fields(), "output") + schema_fields_to_value(S::schema().output_fields(), "output") } fn update_instruction(&mut self, instruction: String) -> Result<()> { @@ -509,7 +598,6 @@ where Ok(()) } } - pub struct LegacyPredict { pub signature: Arc, pub tools: Vec>, diff --git a/crates/dspy-rs/tests/test_call_outcome.rs b/crates/dspy-rs/tests/test_call_outcome.rs new file mode 100644 index 00000000..2edd35c0 --- /dev/null +++ b/crates/dspy-rs/tests/test_call_outcome.rs @@ -0,0 +1,69 @@ +use dspy_rs::{ + CallMetadata, CallOutcome, CallOutcomeErrorKind, ConstraintResult, FieldMeta, LmUsage, + ParseError, +}; +use indexmap::IndexMap; + +#[test] +fn error_outcome_preserves_metadata() { + let metadata = CallMetadata::new( + "raw response".to_string(), + LmUsage::default(), + Vec::new(), + Vec::new(), + Some(42), + IndexMap::new(), + ); + + let outcome: CallOutcome = CallOutcome::err( + CallOutcomeErrorKind::Parse(ParseError::MissingField { + field: "answer".to_string(), + raw_response: "raw response".to_string(), + }), + metadata.clone(), + ); + + let err = outcome.into_result().expect_err("expected parse failure"); + assert_eq!(err.metadata.raw_response, metadata.raw_response); + assert_eq!(err.metadata.node_id, Some(42)); + + match err.kind { + CallOutcomeErrorKind::Parse(ParseError::MissingField { field, .. }) => { + assert_eq!(field, "answer") + } + other => panic!("unexpected error kind: {other:?}"), + } +} + +#[test] +fn success_outcome_exposes_field_metadata() { + let mut field_meta = IndexMap::new(); + field_meta.insert( + "answer".to_string(), + FieldMeta { + raw_text: "Paris".to_string(), + flags: Vec::new(), + checks: vec![ConstraintResult { + label: "non_empty".to_string(), + expression: "this.len() > 0".to_string(), + passed: true, + }], + }, + ); + + let metadata = CallMetadata::new( + "raw response".to_string(), + LmUsage::default(), + Vec::new(), + Vec::new(), + None, + field_meta, + ); + + let outcome = CallOutcome::ok("Paris".to_string(), metadata); + assert_eq!(outcome.metadata().field_raw("answer"), Some("Paris")); + assert!(!outcome.metadata().has_failed_checks()); + + let output = outcome.into_result().expect("expected success"); + assert_eq!(output, "Paris"); +} diff --git a/crates/dspy-rs/tests/test_chat_adapter_schema.rs b/crates/dspy-rs/tests/test_chat_adapter_schema.rs new file mode 100644 index 00000000..1187b7bf --- /dev/null +++ b/crates/dspy-rs/tests/test_chat_adapter_schema.rs @@ -0,0 +1,70 @@ +use dspy_rs::{CallMetadata, CallOutcome, ChatAdapter, Message, Signature}; + +#[derive(Signature, Clone, Debug)] +/// Adapter schema parse fixture. +struct ExampleSig { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug)] +/// Alias parse fixture for non-word marker names. +struct AliasSig { + #[input] + question: String, + + #[output] + #[alias("answer.value")] + answer: String, +} + +#[test] +fn parse_response_typed_uses_schema_field_names() { + let adapter = ChatAdapter; + let response = Message::assistant("[[ ## answer ## ]]\nParis\n\n[[ ## completed ## ]]\n"); + + let (output, field_meta) = adapter + .parse_response_typed::(&response) + .expect("typed parse should succeed"); + + assert_eq!(output.answer, "Paris"); + let answer_meta = field_meta.get("answer").expect("answer field metadata"); + assert_eq!(answer_meta.raw_text.trim(), "Paris"); + + let metadata = CallMetadata::new( + response.content(), + dspy_rs::LmUsage::default(), + Vec::new(), + Vec::new(), + None, + field_meta, + ); + let outcome = CallOutcome::ok(output, metadata); + + assert_eq!(outcome.metadata().field_raw("answer"), Some("Paris")); + assert!(!outcome.metadata().has_failed_checks()); + assert_eq!(outcome.into_result().expect("outcome ok").answer, "Paris"); +} + +#[test] +fn parse_response_typed_accepts_dotted_field_markers() { + let adapter = ChatAdapter; + let response = Message::assistant("[[ ## answer.value ## ]]\nParis\n\n[[ ## completed ## ]]\n"); + + let (output, field_meta) = adapter + .parse_response_typed::(&response) + .expect("typed parse should succeed for dotted aliases"); + + assert_eq!(output.answer, "Paris"); + assert_eq!( + field_meta + .get("answer") + .expect("answer field metadata") + .raw_text + .trim(), + "Paris" + ); +} diff --git a/crates/dspy-rs/tests/test_signature_schema.rs b/crates/dspy-rs/tests/test_signature_schema.rs new file mode 100644 index 00000000..ded32ef7 --- /dev/null +++ b/crates/dspy-rs/tests/test_signature_schema.rs @@ -0,0 +1,95 @@ +use dspy_rs::{BamlType, MetaSignature, Predict, Signature, SignatureSchema}; + +#[derive(Clone, Debug)] +#[BamlType] +struct DetailInput { + note: String, +} + +#[derive(Clone, Debug)] +#[BamlType] +struct DetailOutput { + answer: String, +} + +#[derive(Signature, Clone, Debug)] +/// Nested schema test signature. +struct NestedSig { + #[input] + question: String, + + #[input] + #[flatten] + detail: DetailInput, + + #[output] + #[flatten] + result: DetailOutput, + + #[output] + #[alias("score")] + confidence: f32, +} + +#[derive(Signature, Clone, Debug)] +/// Signature intentionally colliding output aliases. +struct CollisionSig { + #[input] + question: String, + + #[output] + answer: String, + + #[output] + #[flatten] + result: DetailOutput, +} + +#[test] +fn schema_contains_flattened_paths_and_aliases() { + let schema = SignatureSchema::of::(); + + let input_paths: Vec> = schema + .input_fields() + .iter() + .map(|field| field.path().iter().collect()) + .collect(); + assert_eq!(input_paths, vec![vec!["question"], vec!["detail", "note"]]); + + let output_paths: Vec> = schema + .output_fields() + .iter() + .map(|field| field.path().iter().collect()) + .collect(); + assert_eq!(output_paths, vec![vec!["result", "answer"], vec!["confidence"]]); + + let output_names: Vec<&str> = schema.output_fields().iter().map(|field| field.lm_name).collect(); + assert_eq!(output_names, vec!["answer", "score"]); + + let expected = <::Output as BamlType>::baml_output_format(); + assert_eq!( + schema.output_format().target.diagnostic_repr().to_string(), + expected.target.diagnostic_repr().to_string() + ); +} + +#[test] +fn schema_panics_on_flattened_lm_name_collision() { + let result = std::panic::catch_unwind(|| { + let _ = SignatureSchema::of::(); + }); + assert!(result.is_err(), "expected schema collision panic"); +} + +#[test] +fn legacy_meta_signature_uses_lm_names_for_flattened_fields() { + let predict = Predict::::new(); + let output_fields = predict.output_fields(); + let obj = output_fields + .as_object() + .expect("output_fields should be an object"); + + assert!(obj.contains_key("answer")); + assert!(obj.contains_key("score")); + assert!(!obj.contains_key("result.answer")); +} diff --git a/crates/dspy-rs/tests/typed_integration.rs b/crates/dspy-rs/tests/typed_integration.rs index c2bcf087..64447ca0 100644 --- a/crates/dspy-rs/tests/typed_integration.rs +++ b/crates/dspy-rs/tests/typed_integration.rs @@ -82,14 +82,16 @@ async fn typed_prediction_happy_path_with_metadata() { question: "What is the capital of France?".to_string(), }; - let result = predict.call_with_meta(input).await.unwrap(); + let outcome = predict.call(input).await; + let metadata = outcome.metadata().clone(); + let result = outcome.into_result().unwrap(); - assert_eq!(result.output.answer, "Paris"); - assert!((result.output.confidence - 0.9).abs() < 1e-6); - assert!(result.field_raw("answer").is_some()); - assert!(result.field_raw("confidence").is_some()); + assert_eq!(result.answer, "Paris"); + assert!((result.confidence - 0.9).abs() < 1e-6); + assert!(metadata.field_raw("answer").is_some()); + assert!(metadata.field_raw("confidence").is_some()); - let checks = result.field_checks("confidence"); + let checks = metadata.field_checks("confidence"); assert!( checks .iter() @@ -109,15 +111,17 @@ async fn typed_prediction_check_failure_is_recorded() { question: "What is the capital of France?".to_string(), }; - let result = predict.call_with_meta(input).await.unwrap(); + let outcome = predict.call(input).await; + let metadata = outcome.metadata().clone(); + let _ = outcome.into_result().unwrap(); - let checks = result.field_checks("confidence"); + let checks = metadata.field_checks("confidence"); let check = checks .iter() .find(|check| check.label == "valid_confidence") .expect("check constraint should be recorded"); assert!(!check.passed); - assert!(result.has_failed_checks()); + assert!(metadata.has_failed_checks()); } #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] @@ -132,9 +136,9 @@ async fn typed_prediction_missing_field_surfaces_error() { question: "What is the capital of France?".to_string(), }; - let err = match predict.call_with_meta(input).await { + let err = match predict.call(input).await.into_result() { Ok(_) => panic!("expected missing field error"), - Err(err) => err, + Err(err) => err.into_predict_error(), }; match err { PredictError::Parse { source, .. } => match source { @@ -164,9 +168,9 @@ async fn typed_prediction_assert_failure_raises_error() { question: "What is the capital of France?".to_string(), }; - let err = match predict.call_with_meta(input).await { + let err = match predict.call(input).await.into_result() { Ok(_) => panic!("expected assert failure error"), - Err(err) => err, + Err(err) => err.into_predict_error(), }; match err { PredictError::Parse { source, .. } => match source { @@ -210,8 +214,8 @@ async fn typed_i32_rating_parses_correctly() { answer: "The sky is blue because of Rayleigh scattering.".to_string(), }; - let result = predict.call_with_meta(input).await.unwrap(); - assert_eq!(result.output.rating, 8); + let result = predict.call(input).await.into_result().unwrap(); + assert_eq!(result.rating, 8); } #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] @@ -228,9 +232,9 @@ async fn typed_i32_rating_parses_fraction() { answer: "Rayleigh scattering.".to_string(), }; - let result = predict.call_with_meta(input).await.unwrap(); + let result = predict.call(input).await.into_result().unwrap(); // 8/10 = 0.8, rounded to 1 as integer - assert_eq!(result.output.rating, 1); + assert_eq!(result.rating, 1); } #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] @@ -248,7 +252,7 @@ async fn typed_i32_rating_parses_with_text() { }; // This should fail to parse - demonstrates the limitation - let result = predict.call_with_meta(input).await; + let result = predict.call(input).await.into_result(); assert!( result.is_err(), "Expected parse error for rating with surrounding text" diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index 510860e3..6274914e 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -19,7 +19,10 @@ pub fn derive_optimizable(input: TokenStream) -> TokenStream { optim::optimizable_impl(input) } -#[proc_macro_derive(Signature, attributes(input, output, check, assert, alias, format))] +#[proc_macro_derive( + Signature, + attributes(input, output, check, assert, alias, format, flatten) +)] pub fn derive_signature(input: TokenStream) -> TokenStream { let input = parse_macro_input!(input as DeriveInput); let runtime = match resolve_dspy_rs_path() { @@ -67,6 +70,7 @@ struct ParsedField { ty: syn::Type, is_input: bool, is_output: bool, + is_flatten: bool, description: String, alias: Option, format: Option, @@ -190,6 +194,7 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { let mut is_input = false; let mut is_output = false; + let mut is_flatten = false; let mut alias = None; let mut format = None; let mut constraints = Vec::new(); @@ -216,6 +221,8 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { )); } format = Some(parse_string_attr(attr, "format")?); + } else if attr.path().is_ident("flatten") { + is_flatten = true; } else if attr.path().is_ident("check") { constraints.push(parse_constraint_attr(attr, ParsedConstraintKind::Check)?); } else if attr.path().is_ident("assert") { @@ -250,6 +257,7 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { ty: field.ty.clone(), is_input, is_output, + is_flatten, description, alias, format, @@ -431,6 +439,10 @@ fn field_tokens(field: &ParsedField) -> proc_macro2::TokenStream { attrs.push(quote! { #[doc = #doc] }); } + if field.is_flatten { + attrs.push(quote! { #[facet(flatten)] }); + } + // Note: aliases and constraints are handled at the FieldSpec level in // generate_field_specs, not via struct attributes. The adapter layer uses // FieldSpec metadata for LLM name mapping and constraint enforcement. @@ -449,10 +461,13 @@ fn generate_field_specs( ) -> syn::Result { let prefix = name.to_string().to_lowercase(); let array_name = format_ident!("__{}_{}_FIELDS", name.to_string().to_uppercase(), kind); + let metadata_array_name = + format_ident!("__{}_{}_METADATA", name.to_string().to_uppercase(), kind); let mut type_ir_fns = Vec::new(); let mut constraint_arrays = Vec::new(); let mut field_specs = Vec::new(); + let mut metadata_specs = Vec::new(); for field in fields { let field_name = field.ident.to_string(); @@ -463,6 +478,13 @@ fn generate_field_specs( let llm_name = LitStr::new(llm_name, proc_macro2::Span::call_site()); let rust_name = LitStr::new(&field_name, proc_macro2::Span::call_site()); let description = LitStr::new(&field.description, proc_macro2::Span::call_site()); + let alias = match &field.alias { + Some(value) => { + let lit = LitStr::new(value, proc_macro2::Span::call_site()); + quote! { Some(#lit) } + } + None => quote! { None }, + }; let format = match &field.format { Some(value) => { let lit = LitStr::new(value, proc_macro2::Span::call_site()); @@ -558,6 +580,15 @@ fn generate_field_specs( format: #format, } }); + + metadata_specs.push(quote! { + #runtime::FieldMetadataSpec { + rust_name: #rust_name, + alias: #alias, + constraints: #constraints_name, + format: #format, + } + }); } Ok(quote! { @@ -567,6 +598,10 @@ fn generate_field_specs( static #array_name: &[#runtime::FieldSpec] = &[ #(#field_specs),* ]; + + static #metadata_array_name: &[#runtime::FieldMetadataSpec] = &[ + #(#metadata_specs),* + ]; }) } @@ -647,6 +682,10 @@ fn generate_signature_impl( let input_fields_static = format_ident!("__{}_INPUT_FIELDS", name.to_string().to_uppercase()); let output_fields_static = format_ident!("__{}_OUTPUT_FIELDS", name.to_string().to_uppercase()); + let input_metadata_static = + format_ident!("__{}_INPUT_METADATA", name.to_string().to_uppercase()); + let output_metadata_static = + format_ident!("__{}_OUTPUT_METADATA", name.to_string().to_uppercase()); quote! { impl #runtime::Signature for #name { @@ -657,6 +696,22 @@ fn generate_signature_impl( #instruction } + fn input_shape() -> &'static #runtime::Shape { + <#input_name as #runtime::__macro_support::bamltype::facet::Facet<'static>>::SHAPE + } + + fn output_shape() -> &'static #runtime::Shape { + <#output_name as #runtime::__macro_support::bamltype::facet::Facet<'static>>::SHAPE + } + + fn input_field_metadata() -> &'static [#runtime::FieldMetadataSpec] { + &#input_metadata_static + } + + fn output_field_metadata() -> &'static [#runtime::FieldMetadataSpec] { + &#output_metadata_static + } + fn input_fields() -> &'static [#runtime::FieldSpec] { &#input_fields_static } diff --git a/docs/plans/modules/slice_1.md b/docs/plans/modules/slice_1.md new file mode 100644 index 00000000..38519f7a --- /dev/null +++ b/docs/plans/modules/slice_1.md @@ -0,0 +1,151 @@ +# Slice 1 Plan (V1 Typed Call) + +## Simplified Goal +Ship the V1 typed call path with **facet-derived `SignatureSchema`**, the new **`CallOutcome`** return surface, and schema-aware `ChatAdapter`/`Predict` plumbing. Focus strictly on the typed call surface (no augmentation/optimizer rewrites). Any compatibility shim is temporary compile support only, and must not become a parallel long-term API surface. + +## Execution Order (to minimize compile breakage) +1. Add the new schema & outcome core primitives (`schema.rs`, `call_outcome.rs`) and re-export them so the rest of the tree can build on the new types without touching downstream code. +2. Update `core::{Signature, module, mod}` and `lib.rs` to refer to the new primitives, keeping `FieldSpec`/`MetaSignature`/`CallResult` as deprecated shims that forward to the schema/outcome for compatibility. This keeps existing modules/tests compiling while we migrate the typed path. +3. Rewrite the macro (`crates/dsrs-macros/src/lib.rs`) so `#[derive(Signature)]` emits `SignatureSchema::of::()` builders (plus optional retrofitted `FieldSpec` arrays for the legacy ABI) and `CallOutcome` constructors for helper APIs. +4. Rewire `ChatAdapter` to format/parse via `SignatureSchema`/`FieldPath` (replace every `input_fields()`/`output_fields()` use) and expose helpers that `Predict` can rely on. +5. Rewrite `Predict` and the `Module` contract to await `CallOutcome`, use the new adapter entrypoints, and keep metadata in sync so any LM/parse failure still carries `CallMetadata`. +6. Extend the test suite with typed schema + call-outcome coverage so Slice 1 has concrete assertions, then delete or flag now-redundant legacy assertions once the shim validations land. + +## File-by-file Plan + +### crates/dspy-rs/src/core/schema.rs _(new file)_ +- Imports: `use std::{any::{Any, TypeId}, sync::OnceLock}; use std::sync::Arc; use bamltype::{jsonish::TypeIR, internal_baml_jinja::types::OutputFormatContent, schema::{Shape, Field}}; use crate::{ConstraintSpec, ConstraintKind};` (adjust real paths to where `Shape` lives). +- Add `pub struct FieldPath { parts: Vec<&'static str> }` with constructors `pub fn new(parts: impl IntoIterator) -> Self` and helpers `pub fn push(&mut self, part: &'static str)` plus `pub fn iter(&self) -> impl Iterator + '_` and `pub fn display(&self) -> String` for debugging. +- Add `pub struct FieldSchema { pub lm_name: &'static str, pub rust_name: &'static str, pub docs: &'static str, pub type_ir: TypeIR, pub shape: fn() -> &'static Shape, pub path: FieldPath, pub constraints: &'static [ConstraintSpec], pub format: Option<&'static str> }`. +- Add `pub struct SignatureSchema { instruction: &'static str, input_fields: Box<[FieldSchema]>, output_fields: Box<[FieldSchema]>, output_format: Arc }` plus `pub fn instruction(&self) -> &'static str`, `pub fn input_fields(&self) -> &[FieldSchema]`, `pub fn output_fields(&self) -> &[FieldSchema]`, `pub fn output_format(&self) -> &OutputFormatContent` along with `pub fn navigate_field(&self, path: &FieldPath, root: &bamltype::BamlValue) -> Option<&bamltype::BamlValue>` helpers that `ChatAdapter` can reuse. +- Implement `impl SignatureSchema { pub fn of() -> &'static Self }` using a TypeId-keyed cache (e.g., a `OnceCell>` or a `Mutex` guarded by a `OnceCell`) so we get a unique `OnceLock` per `S` instead of the single-`OnceLock` trap noted in S1. Internally call a `SignatureSchemaBuilder` type (either in this file or a `core/schema/builder.rs`) that runs `S::input_shape()`/`S::output_shape()` (generated by the macro) to produce ordered `FieldSchema` instances with flattened `FieldPath`s (use the `Facet` flatten flag to skip or merge levels). +- Flatten alias and constraint rule (arbitrated): keep `lm_name = alias_or_field_name` for each emitted leaf; require uniqueness of `lm_name` across each side of the schema (`input_fields`, `output_fields`). If duplicates appear after flattening, fail schema construction with a deterministic error that reports both colliding paths. Constraints/format metadata are attached to the emitted flattened leaf `FieldSchema` and reported under that leaf path. +- Provide helper methods `pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema>` (used by metadata collection) and `pub fn field_paths(&self) -> impl Iterator`. + +### crates/dspy-rs/src/core/signature.rs +- Keep `ConstraintSpec` + `ConstraintKind` (they feed the schema metadata) but remove `FieldSpec` and `MetaSignature` definitions from this file; move them to a new `_legacy.rs` module if needed so the public API stays available. Use `pub mod legacy` re-export later if we want to keep compatibility names. +- Redefine the `Signature` trait as: + ```rust + pub trait Signature: Send + Sync + 'static { + type Input: BamlType + Facet + Send + Sync; + type Output: BamlType + Facet + Send + Sync; + fn instruction() -> &'static str; + fn schema() -> &'static SignatureSchema; + } + ``` + (The `schema()` method just calls `SignatureSchema::of::()`, but keep it as a trait hook so the macro can stub `SignatureSchemaBuilder::init`). +- Add `pub fn input_shape() -> &'static Shape` / `pub fn output_shape() -> &'static Shape` helper signatures; the derive macro will generate them and the schema builder needs direct access to `Shape` for flatten/constraint flags. +- Keep a `pub trait SignatureExt` if necessary for helper accessors (like `fn format_instruction() -> &'static str`), but keep overload minimal to avoid new API surfaces. + +### crates/dspy-rs/src/core/call_outcome.rs _(new file replacing call_result.rs blocks)_ +- Move to `crate::core::call_outcome` and define: + ```rust + pub struct CallMetadata { + pub raw_response: String, + pub lm_usage: LmUsage, + pub tool_calls: Vec, + pub tool_executions: Vec, + pub node_id: Option, + pub field_meta: IndexMap, + } + + pub enum CallOutcomeErrorKind { + Lm(LmError), + Parse(ParseError), + Conversion(ConversionError, BamlValue), + } + + pub struct CallOutcomeError { + pub metadata: CallMetadata, + pub kind: CallOutcomeErrorKind, + } + + pub struct CallOutcome { + metadata: CallMetadata, + result: Result, + } + ``` + (Decide whether to keep `FieldMeta`/`ConstraintResult` definitions here or in another module; reuse the existing structs from `call_result.rs` so tests keep compiling.) +- Add constructors: + ```rust + impl CallOutcome { + pub fn ok(output: O, metadata: CallMetadata) -> Self; + pub fn err(kind: CallOutcomeErrorKind, metadata: CallMetadata) -> Self; + pub fn metadata(&self) -> &CallMetadata; + pub fn into_result(self) -> Result; + pub fn try_into_result(self) -> Result; // used by Try impl + } + ``` + where `CallOutcomeError` takes ownership of the metadata in the error branch. +- `Try` strategy (arbitrated): implement `Try`/`FromResidual` for `CallOutcome` under nightly (`#![feature(try_trait_v2)]`) because the repo toolchain is nightly; also provide `into_result()` as the stable explicit conversion API for call sites that do not rely on `?`. +- Implement `impl std::ops::Deref for CallOutcome` pointing to `Result` and `impl std::ops::DerefMut` if needed so adapters can use `?`. Implement `impl std::ops::Try for CallOutcome` (with nightly guard? check toolchain; if `try_trait_v2` unavailable, provide `impl From> for Result { ... }`). Document fallback in plan (e.g., wrap `call_outcome.rs` with `#[cfg(feature = "try_trait_v2")]`?). +- `CallMetadata` should remain sharable; expose `pub fn field_meta(&self) -> &IndexMap` for downstream uses. Ensure `CallOutcomeErrorKind::Parse` includes the `ParseError` so existing logic for `PredictError::Parse` can be re-used. + +### crates/dspy-rs/src/core/module.rs +- Update the `Module` trait: `async fn forward(&self, inputs: Example) -> CallOutcome;` and keep `forward_untyped` returning `CallOutcome` (wrap conversion errors inside `CallOutcomeErrorKind::Conversion`). Remove the `Result` return so the new default surface is `CallOutcome` everywhere. Keep the `batch` helper unchanged but adjust error handling to unwrap via `?` on `CallOutcome`. +- Keep `Optimizable` trait as-is (it still references `MetaSignature`) but add a comment in the plan noting how future slices will replace those callers with schema-based discovery. + +### crates/dspy-rs/src/lib.rs +- Re-export the new `core::call_outcome::{CallOutcome, CallOutcomeError, CallMetadata}` and the `SignatureSchema` module so downstream crates can use them: add `pub use core::schema::*; pub use core::call_outcome::*;`. +- Keep deprecated `CallResult`/`MetaSignature` exports by re-exporting them from a `pub mod legacy` that reuses the schema/outcome types internally. Clearly document in the plan that these re-exports exist only for backwards compatibility and will be trimmed in a later slice. + +### crates/dspy-rs/src/core/mod.rs +- Replace `mod call_result;` with `mod call_outcome;` and `mod schema;` and re-export the new symbols: `pub use call_outcome::{CallOutcome, CallOutcomeError, CallMetadata}; pub use schema::{SignatureSchema, FieldSchema, FieldPath};`. +- Keep `pub use call_result::{CallResult, ConstraintResult, FieldMeta};` but annotate with `#[deprecated]`/`#[cfg_attr]` (if practical) and have the old `CallResult` now delegate to `CallOutcome` so existing callers continue to compile while we migrate them. + +### crates/dspy-rs/src/adapter/chat.rs +- Replace every `Signature::input_fields()`/`output_fields()` call with `schema.input_fields()`/`schema.output_fields()` where `let schema = S::schema()` (typed path). Introduce helpers `fn insert_baml_at_path(root: &mut BamlMap, path: &FieldPath, value: BamlValue)` and `fn value_for_path(root: &BamlValue, path: &FieldPath) -> Option<&BamlValue>` backed by `SignatureSchema` to support flatten-aware navigation. +- Replace `parse_response_typed` to iterate over `schema.output_fields()`, use `jsonish::from_str` along with `field.shape()`/`field.path()` to parse each section, collect `FieldMeta`, and build the output `BamlValue` by writing at the recorded `FieldPath`s. +- Update formatting helpers (`format_system_message_typed`, `format_user_message_typed`, `format_assistant_message_typed`, `format_field_structure_typed`) to use `field.lm_name` and `field.path()` for prompts instead of legacy `FieldSpec`. Update logging fields (e.g., `output_field_count`) to use `schema.output_fields().len()`. +- Provide new `pub fn parse_response_with_schema(...) -> Result<(S::Output, CallMetadata), CallOutcomeErrorKind>` that the typed `Predict` can call, so parsing errors are already wired into `CallOutcome` metadata. This method should no longer take `Message` by reference but by value if needed to preserve ownership. + +### crates/dspy-rs/src/predictors/predict.rs +- Replace `call_with_meta`/`CallResult` with a single `pub async fn call(&self, input: S::Input) -> CallOutcome` that: + 1. Builds prompts via the schema-aware `ChatAdapter` helpers. + 2. Calls the LM, captures `raw_response`, `lm_usage`, `tool_calls`, `tool_executions`, and `node_id` exactly as before. + 3. Calls the new schema parser, returns `(S::Output, IndexMap)` and records any constraints/checks into `CallMetadata`. + 4. Constructs `CallOutcome::ok(typed_output, metadata)` on success or `CallOutcome::err(CallOutcomeErrorKind::Parse(err), metadata)` on failure; LM failures become `CallOutcome::err(CallOutcomeErrorKind::Lm(err), metadata)` with metadata still carrying `raw_response`/`lm_usage`. +- Store demos as a `Vec>` (typed `{ input: S::Input, output: S::Output }` pairs) and have the builder accept `Demo` so augmented outputs keep their extra fields without needing `S::from_parts`/`into_parts`. +- Keep `PredictBuilder` structurally the same but update it to push typed `Demo` values and expose typed helpers when needed. +- Ensure `Predict` carries the `#[facet(dsrs::parameter)]` attribute with a `PredictAccessorFns` payload that points at the new schema-aware entrypoints (`CallOutcome`, `dyn DynPredictor`, `SignatureSchema::of::()`). This keeps the F6 walker (S2) discovery working without change. +- Update `Predict` to still implement `DynPredictor` (for future slices) but adjust the trait to return `CallOutcome` for `forward_untyped` so metadata stays consistent with typed leaves and `schema()`/`instruction()` come from the derive. + +### crates/dsrs-macros/src/lib.rs +- Extend the `#[derive(Signature)]` implementation to: + 1. Read doc comments from the struct and field attributes and create a `'static` `&'static str` instruction string. + 2. Emit helper `fn input_shape() -> &'static Shape` / `fn output_shape() -> &'static Shape` referencing the `Facet` `Shape` nodes of the derived `Input`/`Output` types. Keep the existing helper structs (`Input`/`Output`) but ensure they still implement `BamlType`/`Facet` and share constraints/`#[flatten]` with the original fields. + 3. Generate a `static ONCE: OnceLock` plus `impl Signature for Struct` where `fn schema() -> &'static SignatureSchema { SignatureSchema::of::() }` and `fn instruction() -> &'static str { INSTRUCTION }`. + 4. Optionally generate the old `static __FOO_INPUT_FIELDS`/`__FOO_OUTPUT_FIELDS` arrays and `impl MetaSignature` by folding the schema into JSON if the backwards-compatibility feature gate is enabled, but mark those helpers as deprecated and simple wrappers so we can delete them once legacy modules are gone. +- Update the macro tests to assert that the generated schema includes the expected flattened paths/constraints (mirror the new plan tests) and that `Signature::schema()` is usable from other crates. + +### Adapter/Example test files +- Replace the current `crates/dspy-rs/tests/test_adapters.rs` and `tests/test_predictors.rs` expectations so they exercise the schema-based formatting/parsing. Use small fixtures (e.g., `#[derive(Signature)] struct FlattenSig { #[input] pub question: String, #[output] pub meta: Meta }`) to confirm formatting uses `FieldPath` markers and parsing rehydrates `S::Output`. +- Add new tests under `crates/dspy-rs/tests/test_signature_schema.rs` and `crates/dspy-rs/tests/test_call_outcome.rs` that follow the exact assertions listed below in the Test Plan section. + +## Migration & Compatibility Handling +- **FieldSpec:** keep the `FieldSpec` struct definition in `core/signature.rs` or a `core/legacy.rs` module but mark it `#[deprecated]`. Provide `impl From<&FieldSchema> for FieldSpec` so we can still build the old arrays inside `MetaSignature` shims without duplicating data. The plan is to keep `MetaSignature`/`LegacyPredict` alive during Slice 1 but have them drive their metadata from the new schema, so we can delete them in Slice 2 without special migration. +- **MetaSignature:** keep the trait but change its implementation for `Predict`/`LegacyPredict` to call `SignatureSchema::of::()` and `schema.field_json()` helpers. Update every `Adapter`/`Optimizer` consumer to use these shims (e.g., `ChatAdapter::format_system_message(&dyn MetaSignature)` now simply serializes `schema` to `serde_json` for compatibility). Document in the plan that once Slice 2 hits optimizer migration we will remove `MetaSignature` by replacing its consumers with schema-based discovery. +- **CallResult:** deprecate `CallResult` by making it a thin wrapper around `CallOutcome` (e.g., `impl From> for CallResult`). Update the few call sites (e.g., `examples/01-simple.rs`) to use `CallOutcome`. Leave a transitional helper in `core/legacy.rs` so existing user code still compiles until we can cut them in later slices. + +## Test Plan +1. `crates/dspy-rs/tests/test_signature_schema.rs` + - Instantiate `#[derive(Signature)] struct NestedSig` with a flattened inner struct (use `#[flatten]`). + - Assert `SignatureSchema::of::().input_fields().iter().map(|f| f.path().iter().copied().collect::>())` equals `vec![vec!["question"], vec!["detail", "note"]]` and that `output_fields()` contains both the flattened path and the aliased LM names. + - Assert `SignatureSchema::of::().output_format().kind()` matches the enum returned by `::baml_output_format().kind()`. +2. `crates/dspy-rs/tests/test_call_outcome.rs` + - Build a fake `CallMetadata` (dummy `LmUsage`, `tool_calls`, etc.) and call `CallOutcome::err(CallOutcomeErrorKind::Parse(ParseError::MissingField {...}), metadata.clone())`. + - Assert that `let err = outcome.into_result().unwrap_err();` and that `err.metadata.raw_response == metadata.raw_response` plus `err.kind` matches the parse variant. + - Assert `let metadata_ref = outcome.metadata();` still works after construction on success via `CallOutcome::ok`, ensuring we can inspect metadata on success as well. +3. `crates/dspy-rs/tests/test_chat_adapter_schema.rs` + - Use a `DummyLM` (existing test helper) that returns a pre-segmented `Message` with markers for each `FieldSchema::lm_name` and run `ChatAdapter::parse_response_typed::(&response)`. + - Assert the returned `FieldMeta` map keys are the Rust field names and that `CallOutcome::metadata().field_meta.get("answer").unwrap().raw_text` equals the section text. + - Assert the `CallOutcome` produced by `Predict::call` contains `metadata.tool_calls.len()` matching the fake LM response and that `metadata.has_failed_checks()` is `false` when there are no constraint violations. + +## Checklist of Atomic Tasks +- [ ] Create `core/schema.rs` with `FieldPath`, `FieldSchema`, `SignatureSchema`, builder logic, and caching helpers. +- [ ] Introduce `core/call_outcome.rs` defining `CallOutcome`, `CallMetadata`, `CallOutcomeErrorKind`, and their constructors/traits. +- [ ] Update `core/signature.rs`, `core/mod.rs`, and `lib.rs` so `Signature::schema()`/the re-exports point to the new primitives while keeping `FieldSpec`/`MetaSignature`/`CallResult` shims alive. +- [ ] Extend `crates/dsrs-macros/src/lib.rs` to emit `SignatureSchema` builders, `Signature::schema()`, instruction strings, and (optionally legacy) `FieldSpec` arrays. +- [ ] Rewrite `ChatAdapter` typed formatting/parsing to iterate `SignatureSchema` + `FieldPath`, and produce `CallMetadata` that feeds into `CallOutcome`. +- [ ] Replace `Predict::call_with_meta` with a single `call` returning `CallOutcome` and adjust `Module`/`DynPredictor` so their outputs are also `CallOutcome` instances. +- [ ] Update existing tests/examples to import `CallOutcome` (and eventually drop `CallResult`/`call_with_meta`) while adding the new schema + call-outcome assertions described above. diff --git a/docs/plans/modules/slice_1_refinery.md b/docs/plans/modules/slice_1_refinery.md new file mode 100644 index 00000000..c461f6c1 --- /dev/null +++ b/docs/plans/modules/slice_1_refinery.md @@ -0,0 +1,25 @@ +# Slice 1 Refinery Critique + +## Spec Fidelity +- The current plan now tracks the primary requirements (R0–R16) from `docs/specs/modules/shapes.md` via the schema/call-outcome rewrites, but it still leaves two speculative gaps: alias/constraint behavior for flattened fields and the `Try` ergonomics around `CallOutcome`. I flagged both with exact arbitration comments because the spike docs (`S1-...`, `S8-...`, `splice S2 etc.`) advocate for concrete rules before locking any builder logic or trait changes. +- The plan otherwise aligns with `docs/specs/modules/breadboard.md` and `docs/specs/modules/design_reference.md` on the default return surface being `CallOutcome`, the single surface for `Module::forward`, and the caching/instruction invariants (U9–U10, N8, F1–F7). No additional specs were violated. + +## Shape Compliance +- Shape F2 demands a Facet-derived `SignatureSchema` with flattened paths and cache sharing; the plan now explicitly calls out a TypeId-keyed cache (with a per-`S` `OnceLock`), matching the breadboard's S1 invariant that schema state is immutable and accessible from all places. +- Generic signature derive (F12) and augmentation semantics (F3) are respected by storing demos as `Vec>` and by insisting the macro emit `input_shape`/`output_shape`. However, the plan still needs to confirm whether flattened aliases keep parent path prefixes; I captured that as an arbitration marker so engineering doesn't proceed with an assumption that might break `FieldPath` invariants from `S8`. + +## Breadboard Consistency (Places/Affordances/Boundaries) +- P1 affordances (`U1`–`U10`) remain intact because the plan retains the `Predict` builder/adapter path while clearly differentiating typed vs. legacy consumers through the note on re-exported legacy modules. The plan makes no modifications to P2–P4 flows yet, so the Place boundaries still match the breadboard descriptions. +- The `CallOutcome` single calling convention is reinforced per the locked decision. No new affordances (e.g., extra `forward_result` helpers) were introduced, keeping the plan within the breadboard's cognitive boundary for P1. + +## Sequencing & Hidden Dependencies +- The execution order already codifies the correct sequence (schema/outcome → macro → adapter → Predict/tests). I added notes explaining the TypeId cache requirement and the demo reshaping, making those dependencies explicit. +- Hidden dependency: the `Try` implementation depends on the stable toolchain supporting `try_trait_v2`. Instead of assuming it works, the plan now explicitly requests arbitration before finalizing the `Try` integration, ensuring sequencing won't fail mid-implementation. + +## API Design Consistency +- Aligning `Module::forward` and `DynPredictor::forward_untyped` on `CallOutcome` keeps the API surface uniform. Refs to `SignatureSchema::of::()` and `CallOutcome` in the adapter section replay the design reference narrative and keep the API consistent with the typed path. +- The plan also makes explicit that demos will live as typed `Demo` pairs, which both respects the new augmentation strategy and avoids future API mutations (no more `S::from_parts`). + +## Over-engineering +- No new over-engineered abstractions were introduced. The cache change is a simple map-per-type to avoid a known bug (S1). The plan deliberately defers optimizer/augmentation rewrites (Slice 2+ work), so Slice 1 remains lean and focused on the typed path. +- I kept the legacy `CallResult`/`MetaSignature` shims in the plan but clearly marked them as deprecated, so their inclusion is a compatibility layer rather than over-engineering. diff --git a/docs/plans/modules/slice_1_research.md b/docs/plans/modules/slice_1_research.md new file mode 100644 index 00000000..557aa6fe --- /dev/null +++ b/docs/plans/modules/slice_1_research.md @@ -0,0 +1,42 @@ +# Slice 1 Research (V1 Typed Call) + +## Requirements Checklist (V1) +- Provide the typed signature path that F1/F12 call for: `#[derive(Signature)]` must keep generating `Input`/`Output` helper types, carry docs as instructions, and keep signature structs aligned with user fields so P1 users only change the type to swap strategies (breadboard U1–U5, shapes F1, design reference §2–§4, docs/specs/modules/shapes.md:51-200, docs/specs/modules/design_reference.md:46-355). +- Replace the legacy `FieldSpec` vectors with a Facet-derived `SignatureSchema` cache (S1/S6 decision) so every `SignatureSchema::of::()` call is idempotent and shared across Places (breadboard architectural invariant S1 plus shapes F2 and design reference §3, docs/specs/modules/breadboard.md:36-80, docs/specs/modules/shapes.md:51-200, docs/specs/modules/design_reference.md:149-229, docs/specs/modules/spikes/S6-migration-fieldspec-to-signatureschema.md:1-139). +- Keep `Predict` as the leaf parameter with demos, instruction overrides, and tools, and return a single `CallOutcome` that carries result vs metadata so adapters and module consumers (including batch helpers) can reason about success, LM usage, and parse context (breadboard U6–U10, U48, shapes F4/F5/F7, design reference §5–§8, docs/specs/modules/breadboard.md:71-200, docs/specs/modules/shapes.md:57-67, docs/specs/modules/design_reference.md:359-672). +- Provide adapter building blocks (`ChatAdapter::build_system`, `format_input/output`, `parse_sections`, `parse_output`) that consume `SignatureSchema` so typed and optional dynamic paths render/parse identical prompts and maintain flatten-aware field navigation (shapes F7, design reference §8, docs/specs/modules/shapes.md:63-67, docs/specs/modules/design_reference.md:576-672). +- Leave the Module trait minimal and async, with `forward(&self, input) -> CallOutcome` so combinators like `BestOfN`, `ChainOfThought`, and any user-defined module remain swappable without extra API surface (breadboard N8, U9, shapes F4, design reference §5, docs/specs/modules/breadboard.md:137-208, docs/specs/modules/shapes.md:57-67, docs/specs/modules/design_reference.md:359-399). + +## Type and Schema Definitions to Ship in Slice 1 +1. **Signature trait & derive surface (F1/F12):** `Signature` stays `Send + Sync + 'static` and bounds `S::Input`/`S::Output` with `BamlType + Facet + Send + Sync`, but the new derive must stop emitting static `FieldSpec` arrays. The derive still yields public `Input`/`Output` helper structs with doc comments turned into LM instructions so the adapter can display helpful prompts (design reference §2, lines 48-124, docs/specs/modules/design_reference.md:46-124). Generic parameters and `#[flatten]` fields flow through thanks to the new facet-aware schema. +2. **SignatureSchema + Field/Path metadata (F2):** `SignatureSchema` contains `instruction`, ordered `input_fields` / `output_fields`, plus an `output_format: Arc`. Each `FieldSchema` holds the LM-visible name, the Rust identifier, `TypeIR`, a pointer to its `Shape`, the `FieldPath` (e.g. `["inner", "answer"]`), docs, constraints, and format hints so `format_input/output` and `parse_output` can navigate flattened layouts (design reference §3, lines 149-229, docs/specs/modules/design_reference.md:149-229). +3. **Module and CallOutcome (F4/F5):** `Module` is an `async_trait` whose `forward` returns `CallOutcome`; `CallOutcome` itself encapsulates a `Result` plus raw LM content, usage, tool calls/executions, and field parse metadata. `Predict` is the Slice 1 leaf implementation, and `Demo` moves to typed pairs `{ input: S::Input, output: S::Output }` (design reference §5, lines 359-399, §6, lines 402-503, docs/specs/modules/design_reference.md:359-503). +4. **ChatAdapter building blocks (F7):** Public methods `build_system`, `format_input`, `format_output`, `parse_sections`, and `parse_output::` consume `SignatureSchema`, walk `BamlValue` through `FieldPath`, and support flatten-aware navigation and coercion via `jsonish::from_str` (design reference §8, lines 576-672, docs/specs/modules/design_reference.md:576-672). + +### Out of Scope for Slice 1 (but constraints to preserve) +- **F3 augmentation wrappers and ChainOfThought surfaces** are Slice 2, so Slice 1 changes must not preclude wrapper flatten/deref behavior. +- **F8 DynPredictor and optimizer-facing API** are Slice 5, so Slice 1 should keep the call pipeline compatible with later type-erased bridging but does not implement optimizer migration now. + +## Existing Code Patterns to Extend or Replace +1. **Signature derive & FieldSpec plumbing:** `crates/dsrs-macros/src/lib.rs` still emits `BamlType` helper structs, static `__FOO_INPUT_FIELDS`/`__FOO_OUTPUT_FIELDS`, and implements `Signature` with `input_fields()`, `output_fields()`, `output_format_content()`, plus the old `from_parts`/`into_parts` round-trip (`crates/dsrs-macros/src/lib.rs:22-691`). This table-driven metadata must be rewritten to build `SignatureSchema` from facet shapes instead of static arrays (see S1 plan lines 86-135, docs/specs/modules/spikes/S1-generic-signature-derive.md:85-135). +2. **Typed runtime still uses `FieldSpec` + `CallResult`:** The core `Signature` trait (`crates/dspy-rs/src/core/signature.rs:6-50`) expects `FieldSpec` arrays and the macro bridge produces them; `CallResult` is the only typed return container right now (`crates/dspy-rs/src/core/call_result.rs:6-79`). `Predict` stores `Vec` demos, calls `ChatAdapter::format_*_typed`/`parse_response_typed`, and produces `CallResult` via `CallResult::new(...)` (`crates/dspy-rs/src/predictors/predict.rs:18-190`). The typed path therefore lacks `CallOutcome`, flatten-aware schema, and `SignatureSchema` (search for `SignatureSchema` in the workspace returns only docs), so this entire pipeline is the main rewrite target. +3. **ChatAdapter typed/legacy wiring:** `ChatAdapter::format_*_typed`/`parse_response_typed` currently iterate `Signature::input_fields()` / `output_fields()` and pull values by `rust_name` from flattened `BamlValue`s, then reconstruct `S::Output` directly (`crates/dspy-rs/src/adapter/chat.rs:193-755`). The same file also still implements the legacy `MetaSignature` path (`format_system_message`, `format_demos`, adapter trait, etc.; see `crates/dspy-rs/src/adapter/mod.rs:1-24`, `crates/dspy-rs/src/adapter/chat.rs:295-824`). That code assumes top-level field names and the `MetaSignature` trait, which `Predict` currently exposes for optimizer/legacy compatibility (`crates/dspy-rs/src/predictors/predict.rs:443-478`). Removing the legacy path after introducing schema-derived metadata is possible because all existing adapters reference this trait surface. +4. **Module/optimizer surface still depends on MetaSignature:** `Optimizable` trait and optimizers use `MetaSignature` and `FieldSpec` (`crates/dspy-rs/src/core/module.rs:7-99`, `crates/dspy-rs/src/optimizer/mipro.rs:491`, `crates/dspy-rs/src/optimizer/copro.rs:73-225`). That wiring must be replaced once `DynPredictor` and schema-derived metadata exist, consistent with the S6 conclusion that there is no incremental migration (docs/specs/modules/spikes/S6-migration-fieldspec-to-signatureschema.md:1-139). + +## Spec Ambiguities / Decisions Needed +- **Alias/constraint semantics for flattened leaves:** S1 flagged that it is unclear how sibling names or alias overrides should behave when flattened fields share LM-visible names (`docs/specs/modules/spikes/S1-generic-signature-derive.md:121-135`). We need a concrete rule for naming collisions (e.g., always prefix with path, forbid duplicates) and for whether constraints on inner fields migrate to the flattened accessor or stay on the wrapper. +- **CallOutcome ergonomics:** The high-level docs describe `CallOutcome` as `Result + metadata` with `Try`/`Deref` helpers, but we still need to choose a Rust-friendly shape (builder, error propagation, conversion to `Result`, and whether `CallOutcome::from_error` clones the raw LM response or keeps an Arc) before implementing (design reference §5, lines 359-399, §6 lines 402-503, docs/specs/modules/design_reference.md:359-503). +- **Facet flatten bookkeeping:** S8 verified `field.is_flattened()` and `field.shape()` exist, but noted that `bamltype::schema_builder` and `convert::build_object_fields` currently ignore the flag (`docs/specs/modules/spikes/S8-facet-flatten-metadata.md:53-69`). Slice 1 must decide whether to patch those helper routines or wrap them with new stack-based walkers so the new `SignatureSchema` correctly recurses through flatten flags. +- **MetaSignature / Optimizable retirement timeline:** S6 concluded that the entire `FieldSpec`/`MetaSignature`/`LegacyPredict` surface is deleted (docs/specs/modules/spikes/S6-migration-fieldspec-to-signatureschema.md:85-140), yet optimizer code still depends on it. We need to document the exact migration crunch: which optimizers move to `DynPredictor`, how existing examples are updated, and what tests certify the drop of legacy traits. + +## Recommended Implementation Approach +1. **Ship `SignatureSchema` + caching (S1/S6):** Introduce the type described in design reference §3 with `FieldPath`, walker helpers, and an `OnceLock` per `TypeId`. Reuse `field.is_flattened()` per S8 to flatten nested layouts. Provide helpers (e.g., `navigate_path`, `insert_at_path`, `baml_value_fields`) so the typed adapter can reuse them later (`docs/specs/modules/design_reference.md:149-229`, `docs/specs/modules/spikes/S1-generic-signature-derive.md:86-135`, `docs/specs/modules/spikes/S8-facet-flatten-metadata.md:1-69`). +2. **Rewrite the derive macro:** Switch `crates/dsrs-macros/src/lib.rs` to generate schema metadata via facet shapes, thread generics, preserve constraints/format info, and emit `#[facet(dsrs::flatten)]` when `#[flatten]` is used (S1 steps 1-3, docs/specs/modules/spikes/S1-generic-signature-derive.md:86-135). Remove static `FieldSpec` arrays from the runtime path, or keep them behind a temporary compatibility shim that immediately delegates to the new schema while tests still rely on the old trait (if absolutely necessary). +3. **Adjust the Signature trait/CallOutcome plumbing:** Update `crates/dspy-rs/src/core/signature.rs` so `Signature` no longer exposes `input_fields`/`output_fields`/`output_format_content` but instead exposes `instructions()` (plus whatever fee we need) and let `SignatureSchema::of::()` supply the rest via the new derive. Introduce `CallOutcome` in `core/call_result.rs` (or a new module) replicating the design reference semantics with constructors `from_parts`, `ok`, `from_error`, and helper accessors. Deprecate `CallResult`/`CallResult::new` by either replacing or wrapping it until tests transition. +4. **Update Predict/module implementations:** Modify `Predict` (`crates/dspy-rs/src/predictors/predict.rs`) to store `Vec>` and rely on the new adapter pipeline. Its `call` should now await and return `CallOutcome` by constructing it from the schema-aware parsing stage, wrapping LM errors via `PredictError::Lm` or `PredictError::Parse`. `DynPredictor` implementations should return `CallOutcome` for `forward_untyped`. Make sure `Optimizable`/`MetaSignature` bindings drop or wrap to the new `DynPredictor` handles. +5. **Schema-aware adapter:** Replace `ChatAdapter` typed helpers so they iterate `SignatureSchema::input_fields/output_fields`, use `FieldPath` to `navigate_path`/`insert_at_path`, and leverage `jsonish::from_str` + `BamlType::try_from_baml_value` to reconstruct typed outputs (`docs/specs/modules/design_reference.md:576-672`). Keep `format_schema_for_prompt`, `parse_sections`, and constraint enforcement, but feed them schema-derived names to stay flatten-aware. Once this typed path is stable, the legacy `MetaSignature` branch can be removed (per S6); otherwise, provide a short-term fallback that keeps `MetaSignature` behavior by projecting the new schema into JSON. +6. **Testing/regression plan:** Add positive tests for generic + flattened signatures (both macro and adapter), flatten-aware parse/format round trips, constraint/alias coverage, and `CallOutcome` metadata (S1 acceptance). Keep `cargo test -p dsrs_macros --tests` plus new `dspy-rs` typed adapter tests. Defer optimizer migration test rewrites to later slices and document that explicitly in Slice 1 plan. + +## Readiness +- **Ready:** The specs already nail down the required types/flow (breadboard invariants, shapes parts, design reference, S1/S6/S8 decisions). We also have a working macro plus adapter/predictor code that can be rewired; the ideal change touches `crates/dsrs-macros/src/lib.rs`, `crates/dspy-rs/src/core`, `crates/dspy-rs/src/predictors/predict.rs`, and `crates/dspy-rs/src/adapter/chat.rs` with precise line references above. +- **Blocked until:** the new `SignatureSchema` + `CallOutcome` shapes are coded, flatten-aware walkers are patched in `bamltype`, and we decide how to retire `FieldSpec`/`MetaSignature` without breaking optimizer tests (S6 sink). Without those structural pieces, typed calls still rely on legacy metadata and cannot satisfy the breadboard V1 invariants. diff --git a/docs/plans/modules/slice_1_review.md b/docs/plans/modules/slice_1_review.md new file mode 100644 index 00000000..935a7d16 --- /dev/null +++ b/docs/plans/modules/slice_1_review.md @@ -0,0 +1,10 @@ +# Slice 1 adversarial review + +## High +- **Legacy MetaSignature prompts now emit dotted field names while the parser only accepts `\w+`.** `schema_fields_to_value` builds the JSON maps shown to `MetaSignature` using `FieldSchema::rust_name`, which is the dotted `FieldPath` (e.g. `detail.note`). That means the legacy prompts now request `[[ ## detail.note ## ]]`, but `FIELD_HEADER_PATTERN` (and therefore `parse_sections`) only matches `[[:word:]]+`, so the parser never sees those headers and `parse_response_strict` immediately claims `MissingField`. Any signature that flattens inputs/outputs is now uncompilable through `LegacyPredict` / the adapter path, which regresses the S1/S8 flatten guarantee in `docs/specs/modules/shapes.md:137-146`. Please align the legacy representation with the LM-facing name (`FieldSchema::lm_name`) or broaden the header regex so that dotted names survive, otherwise GEPA/optimizer tooling that still uses the legacy path cannot handle flattened signatures at all.— `crates/dspy-rs/src/predictors/predict.rs:295-303`, `crates/dspy-rs/src/adapter/chat.rs:27-87`, `docs/specs/modules/shapes.md:137-146` + +## Medium +- None. + +## Low +- None. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md new file mode 100644 index 00000000..c35bd5d8 --- /dev/null +++ b/docs/plans/modules/tracker.md @@ -0,0 +1,47 @@ +# Implementation Tracker + +## Current State +- **Slice**: 1 +- **Phase**: Commit + +## Active Subagents +| ID | Purpose | Slice | Phase | Status | Notes | +|----|---------|-------|-------|--------|-------| + +## Completed Subagents +| ID | Purpose | Slice | Phase | Outcome | +|----|---------|-------|-------|---------| +| `019c41ac-7619-7013-9147-858cc5d57ebe` | Research brief for V1 typed call | 1 | Research | Completed; confirmed V1 chokepoints are `Signature`/adapter/predictor return surfaces and identified flat-`FieldSpec` gaps vs target `SignatureSchema` path model | +| `019c41bd-b436-72e3-a9f6-7be83ad9aafc` | Research brief for Slice 1 (V1 typed call) | 1 | Research | Completed; produced `slice_1_research.md` with code-level inventory and migration path; reviewed and amended for strict Slice 1 scope | +| `019c41c1-87a7-7eb0-8959-4316b2a12033` | Stupidly implementable plan for Slice 1 (V1 typed call) | 1 | Plan | Completed; generated `slice_1.md` draft with file-level steps, but initial review flagged divergence from S1/S6 full-replacement decisions | +| `019c41c5-0229-73f3-9874-4d88971cfc65` | Plan refinery against ground truth for Slice 1 | 1 | Plan Refinery | Completed; produced `slice_1_refinery.md`, corrected plan fidelity issues, and surfaced arbitration points that were resolved in `slice_1.md` | +| `019c41ca-9537-7e01-9ab4-d560308f1cd3` | Implement Slice 1 plan in code/tests | 1 | Implement | Partial; edited core/macro/adapter/predict surfaces but left compile break (`core/module.rs` delimiter), incomplete test migration, and unexpected out-of-scope edits in optimizer files (`optimizer/gepa.rs`, `optimizer/mipro.rs`) | +| `manual` | Implement Slice 1 completion pass | 1 | Implement | Completed; fixed compile break, finalized `CallOutcome`/schema test migration, added `test_signature_schema.rs` + `test_call_outcome.rs` + `test_chat_adapter_schema.rs`, and updated typed integration tests to `Predict::call(...).await.into_result()` | +| `019c41e1-6eb1-76e2-9402-aee1bdb2f20e` | Adversarial review against ground truth | 1 | Adversarial Review | Completed; reported one high finding (`MetaSignature` flatten marker mismatch); finding accepted and fixed by switching legacy field keys to `lm_name` and broadening header parser regex | + +## Decisions & Architectural Notes + +- Slice definitions for this execution are V1-V3 from `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (V1 Typed call, V2 Augmentation + CoT, V3 Module authoring). +- Ground truth hierarchy for arbitration is: breadboard + shapes + design_reference + spikes S1-S8. +- **Locked (2026-02-09):** N8/typed call default return is `CallOutcome` (metadata-first). `call_with_meta` is folded into `call`; there is no separate convenience path like `forward_result`. +- **Calling convention constraint:** single return type + single convention. `CallOutcome` must support ergonomic `?`-style consumption via traits (if feasible on toolchain) without introducing parallel APIs. +- **Error payload constraint:** errors must carry call metadata context (raw response/usage/field parse detail) in the same default return flow. +- **Plan review decision (2026-02-09):** Slice 1 plan must align with S1/S6 Option C replacement direction; broad legacy compatibility strategy in draft plan requires refinery correction or explicit arbitration. +- **Arbitration (2026-02-09): Flatten alias/constraint semantics.** `SignatureSchema` enforces unique LM-visible names per side (input/output). Collisions after flatten are hard errors with path detail. Constraints/format metadata are attached to flattened emitted leaf paths. +- **Arbitration (2026-02-09): `CallOutcome` ergonomics.** Implement `Try`/`FromResidual` on nightly (`try_trait_v2`) and keep `into_result()` explicit conversion API. +- **Implementation decision (2026-02-09):** Keep minimal optimizer file edits in `optimizer/gepa.rs` and `optimizer/mipro.rs` because they are mechanical call-site adaptations required by `Module::forward -> CallOutcome`; no optimizer behavior changes were introduced. +- **Adversarial arbitration (2026-02-09):** Accepted high-severity review finding on legacy flatten marker mismatch. Fixed by (1) emitting `FieldSchema::lm_name` keys in `schema_fields_to_value`, and (2) updating `FIELD_HEADER_PATTERN` to parse non-`\w` marker names (including dotted aliases/paths). +- **Smoke test (2026-02-09):** Real LM call passed end-to-end using `cargo run -p dspy-rs --example _slice1_smoke` with `.env` `OPENAI_API_KEY` and model `openai:gpt-5.2`; typed path returned expected `answer = "smoke-ok"`. +- **Arbitration result (2026-02-09):** Agreed with the single review finding and fixed it in-place (`predict.rs` legacy field-key mapping and `chat.rs` header regex). Post-fix test suite and smoke run passed. + +## Stumbling Blocks + +- Existing tracker lacked `Current State` fields from the required template; normalized before continuing to avoid ambiguous phase transitions. +- Initial research draft mixed Slice 1 scope with Slice 2/5 artifacts (augmentation and DynPredictor migration). Corrected to keep Slice 1 deliverables focused on V1 call path while preserving cross-slice constraints. +- Implementation subagent introduced unexpected edits outside assigned ownership (`optimizer/gepa.rs`, `optimizer/mipro.rs`) while attempting to satisfy compile ripple effects from `Module` return type changes. +- `cargo check -p dspy-rs -p dsrs_macros` and both test suites now pass, but `cargo check -p dspy-rs --examples` still fails because examples have not yet been migrated to the new `Module::forward` / `CallOutcome` interfaces. + +## Open Questions + +- If nightly `try_trait_v2` introduces instability during implementation, decide whether to keep `Try` behind cfg while preserving `into_result()` as non-divergent baseline. +- Whether Slice 1 should include an explicit follow-up example migration pass (`--examples` currently failing on old `Result`-based module signatures and removed `call_with_meta` usage). From 748368c8402d253365b1e4573e35b97ee15110d9 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 01:45:53 -0800 Subject: [PATCH 02/22] slice2: implement augmentation + chain-of-thought module --- .../examples/90-smoke-slice1-typed-predict.rs | 42 ++++ .../91-smoke-slice2-chain-of-thought.rs | 43 ++++ crates/dspy-rs/src/adapter/chat.rs | 43 +++- crates/dspy-rs/src/augmentation.rs | 56 +++++ crates/dspy-rs/src/core/schema.rs | 12 +- crates/dspy-rs/src/core/signature.rs | 7 +- crates/dspy-rs/src/lib.rs | 5 + .../dspy-rs/src/modules/chain_of_thought.rs | 167 +++++++++++++ crates/dspy-rs/src/modules/mod.rs | 3 + crates/dspy-rs/src/predictors/predict.rs | 26 +- .../tests/test_chain_of_thought_swap.rs | 101 ++++++++ .../dspy-rs/tests/test_flatten_roundtrip.rs | 49 ++++ .../tests/test_with_reasoning_deref.rs | 29 +++ crates/dsrs-macros/src/lib.rs | 236 ++++++++++++++++-- docs/plans/modules/slice_2.md | 162 ++++++++++++ docs/plans/modules/slice_2_refinery.md | 27 ++ docs/plans/modules/slice_2_research.md | 59 +++++ docs/plans/modules/slice_2_review.md | 20 ++ docs/plans/modules/tracker.md | 20 +- 19 files changed, 1038 insertions(+), 69 deletions(-) create mode 100644 crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs create mode 100644 crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs create mode 100644 crates/dspy-rs/src/augmentation.rs create mode 100644 crates/dspy-rs/src/modules/chain_of_thought.rs create mode 100644 crates/dspy-rs/src/modules/mod.rs create mode 100644 crates/dspy-rs/tests/test_chain_of_thought_swap.rs create mode 100644 crates/dspy-rs/tests/test_flatten_roundtrip.rs create mode 100644 crates/dspy-rs/tests/test_with_reasoning_deref.rs create mode 100644 docs/plans/modules/slice_2.md create mode 100644 docs/plans/modules/slice_2_refinery.md create mode 100644 docs/plans/modules/slice_2_research.md create mode 100644 docs/plans/modules/slice_2_review.md diff --git a/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs b/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs new file mode 100644 index 00000000..a9a2e51c --- /dev/null +++ b/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs @@ -0,0 +1,42 @@ +use anyhow::{Result, bail}; +use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure}; + +#[derive(Signature, Clone, Debug)] +struct SmokeSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[tokio::main] +async fn main() -> Result<()> { + // Smoke Label: Slice 1 Typed Predict + configure( + LM::builder() + .model("openai:gpt-5.2".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let module = Predict::::new(); + let input = SmokeSigInput { + prompt: "Reply with exactly: smoke-ok".to_string(), + }; + + let output = module.call(input).await.into_result().map_err(|err| { + eprintln!("smoke call failed: {}", err.kind); + eprintln!("raw_response: {:?}", err.metadata.raw_response); + anyhow::anyhow!("slice1 smoke failed") + })?; + + println!("answer: {}", output.answer); + + if !output.answer.to_ascii_lowercase().contains("smoke-ok") { + bail!("unexpected answer content: {}", output.answer); + } + + Ok(()) +} diff --git a/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs b/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs new file mode 100644 index 00000000..e31721b0 --- /dev/null +++ b/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs @@ -0,0 +1,43 @@ +use anyhow::{Result, bail}; +use dspy_rs::{ChainOfThought, ChatAdapter, LM, Signature, configure}; + +#[derive(Signature, Clone, Debug)] +struct SmokeSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[tokio::main] +async fn main() -> Result<()> { + // Smoke Label: Slice 2 ChainOfThought + configure( + LM::builder() + .model("openai:gpt-5.2".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let module = ChainOfThought::::new(); + let input = SmokeSigInput { + prompt: "Reply with exactly: smoke-ok".to_string(), + }; + + let output = module.call(input).await.into_result().map_err(|err| { + eprintln!("smoke call failed: {}", err.kind); + eprintln!("raw_response: {:?}", err.metadata.raw_response); + anyhow::anyhow!("slice2 smoke failed") + })?; + + println!("reasoning: {}", output.reasoning); + println!("answer: {}", output.answer); + + if !output.answer.to_ascii_lowercase().contains("smoke-ok") { + bail!("unexpected answer content: {}", output.answer); + } + + Ok(()) +} diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 5305b603..0324ced1 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -532,7 +532,7 @@ impl ChatAdapter { let mut result = String::new(); for field_spec in schema.input_fields() { - if let Some(value) = value_for_path(&baml_value, field_spec.path()) { + if let Some(value) = value_for_path_relaxed(&baml_value, field_spec.path()) { result.push_str(&format!("[[ ## {} ## ]]\n", field_spec.lm_name)); result.push_str(&format_baml_value_for_prompt_typed( value, @@ -555,7 +555,7 @@ impl ChatAdapter { let mut sections = Vec::new(); for field_spec in schema.output_fields() { - if let Some(value) = value_for_path(&baml_value, field_spec.path()) { + if let Some(value) = value_for_path_relaxed(&baml_value, field_spec.path()) { sections.push(format!( "[[ ## {} ## ]]\n{}", field_spec.lm_name, @@ -569,14 +569,16 @@ impl ChatAdapter { result } - pub fn format_demo_typed(&self, demo: S) -> (String, String) + pub fn format_demo_typed( + &self, + demo: &crate::predictors::Demo, + ) -> (String, String) where S::Input: BamlType, S::Output: BamlType, { - let (input, output) = demo.into_parts(); - let user_msg = self.format_user_message_typed::(&input); - let assistant_msg = self.format_assistant_message_typed::(&output); + let user_msg = self.format_user_message_typed::(&demo.input); + let assistant_msg = self.format_assistant_message_typed::(&demo.output); (user_msg, assistant_msg) } @@ -880,13 +882,32 @@ fn parse_sections(content: &str) -> IndexMap { parsed } -fn value_for_path<'a>(value: &'a BamlValue, path: &crate::FieldPath) -> Option<&'a BamlValue> { +fn value_for_path_relaxed<'a>( + value: &'a BamlValue, + path: &crate::FieldPath, +) -> Option<&'a BamlValue> { let mut current = value; - for part in path.iter() { - current = match current { - BamlValue::Class(_, fields) | BamlValue::Map(fields) => fields.get(part)?, + let parts: Vec<_> = path.iter().collect(); + let mut idx = 0usize; + while idx < parts.len() { + match current { + BamlValue::Class(_, fields) | BamlValue::Map(fields) => { + if let Some(next) = fields.get(parts[idx]) { + current = next; + idx += 1; + continue; + } + if idx + 1 < parts.len() { + if let Some(next) = fields.get(parts[idx + 1]) { + current = next; + idx += 2; + continue; + } + } + return None; + } _ => return None, - }; + } } Some(current) } diff --git a/crates/dspy-rs/src/augmentation.rs b/crates/dspy-rs/src/augmentation.rs new file mode 100644 index 00000000..81bba3ba --- /dev/null +++ b/crates/dspy-rs/src/augmentation.rs @@ -0,0 +1,56 @@ +use std::marker::PhantomData; +use std::ops::Deref; + +use crate::{BamlType, Signature}; +use facet::Facet; + +pub trait Augmentation: Send + Sync + 'static { + type Wrap Facet<'a> + Send + Sync>: + BamlType + for<'a> Facet<'a> + Deref + Send + Sync; +} + +#[derive(Clone, Copy, Default)] +pub struct Augmented { + _marker: PhantomData<(S, A)>, +} + +impl Signature for Augmented { + type Input = S::Input; + type Output = A::Wrap; + + fn instruction() -> &'static str { + S::instruction() + } + + fn input_shape() -> &'static bamltype::Shape { + S::input_shape() + } + + fn output_shape() -> &'static bamltype::Shape { + as Facet<'static>>::SHAPE + } + + fn input_field_metadata() -> &'static [crate::FieldMetadataSpec] { + S::input_field_metadata() + } + + fn output_field_metadata() -> &'static [crate::FieldMetadataSpec] { + S::output_field_metadata() + } + + #[allow(deprecated)] + fn input_fields() -> &'static [crate::FieldSpec] { + S::input_fields() + } + + #[allow(deprecated)] + fn output_fields() -> &'static [crate::FieldSpec] { + S::output_fields() + } +} + +impl Augmentation for (A, B) { + type Wrap Facet<'a> + Send + Sync> = A::Wrap>; +} + +pub type AugmentedOutput = ::Wrap<::Output>; diff --git a/crates/dspy-rs/src/core/schema.rs b/crates/dspy-rs/src/core/schema.rs index 515e3537..18c39845 100644 --- a/crates/dspy-rs/src/core/schema.rs +++ b/crates/dspy-rs/src/core/schema.rs @@ -26,6 +26,7 @@ impl FieldPath { self.parts.push(part); } + pub fn iter(&self) -> impl Iterator + '_ { self.parts.iter().copied() } @@ -193,7 +194,7 @@ fn collect_fields( } }; - let mut metadata_by_name = HashMap::new(); + let mut metadata_by_name: HashMap<&'static str, &'static FieldMetadataSpec> = HashMap::new(); for item in metadata { metadata_by_name.insert(item.rust_name, item); } @@ -205,7 +206,7 @@ fn collect_fields( } let path = FieldPath::new([field.name]); let field_meta = metadata_by_name.get(field.name).copied(); - emit_field(field, path, field_meta, &mut fields)?; + emit_field(field, path, field_meta, &metadata_by_name, &mut fields)?; } Ok(fields) @@ -215,6 +216,7 @@ fn emit_field( field: &'static Field, path: FieldPath, inherited: Option<&FieldMetadataSpec>, + metadata_by_name: &HashMap<&'static str, &'static FieldMetadataSpec>, out: &mut Vec, ) -> Result<(), String> { if field.should_skip_deserializing() { @@ -240,7 +242,11 @@ fn emit_field( } let mut nested_path = path.clone(); nested_path.push(nested.name); - emit_field(nested, nested_path, inherited, out)?; + let nested_meta = metadata_by_name + .get(nested.name) + .copied() + .or(inherited); + emit_field(nested, nested_path, nested_meta, metadata_by_name, out)?; } return Ok(()); diff --git a/crates/dspy-rs/src/core/signature.rs b/crates/dspy-rs/src/core/signature.rs index ba0622dc..37c23374 100644 --- a/crates/dspy-rs/src/core/signature.rs +++ b/crates/dspy-rs/src/core/signature.rs @@ -46,8 +46,8 @@ pub trait MetaSignature: Send + Sync { } pub trait Signature: Send + Sync + 'static { - type Input: BamlType + Facet<'static> + Send + Sync; - type Output: BamlType + Facet<'static> + Send + Sync; + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; fn instruction() -> &'static str; @@ -76,7 +76,4 @@ pub trait Signature: Send + Sync + 'static { { Self::schema().output_format() } - - fn from_parts(input: Self::Input, output: Self::Output) -> Self; - fn into_parts(self) -> (Self::Input, Self::Output); } diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index 330a7463..d0e871b1 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -1,18 +1,22 @@ extern crate self as dspy_rs; pub mod adapter; +pub mod augmentation; pub mod core; pub mod data; pub mod evaluate; +pub mod modules; pub mod optimizer; pub mod predictors; pub mod trace; pub mod utils; pub use adapter::chat::*; +pub use augmentation::*; pub use core::*; pub use data::*; pub use evaluate::*; +pub use modules::*; pub use optimizer::*; pub use predictors::*; pub use utils::*; @@ -20,6 +24,7 @@ pub use utils::*; pub use bamltype::BamlConvertError; pub use bamltype::BamlType; // attribute macro pub use bamltype::Shape; +pub use facet::Facet; pub use bamltype::baml_types::{ BamlValue, Constraint, ConstraintLevel, ResponseCheck, StreamingMode, TypeIR, }; diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs new file mode 100644 index 00000000..1d2e3155 --- /dev/null +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -0,0 +1,167 @@ +use indexmap::IndexMap; + +use crate::augmentation::Augmented; +use crate::Augmentation; +use crate::core::{MetaSignature, Module, Optimizable, Signature}; +use crate::predictors::{Demo, Predict, PredictBuilder}; +use crate::{BamlType, CallOutcome, Example, Prediction}; + +#[derive(Augmentation, Clone, Debug)] +#[augment(output, prepend)] +pub struct Reasoning { + #[output] + pub reasoning: String, +} + +#[derive(Default)] +pub struct ChainOfThought { + predictor: Predict>, +} + +impl ChainOfThought { + pub fn new() -> Self { + Self { + predictor: Predict::>::new(), + } + } + + pub fn with_predict(predictor: Predict>) -> Self { + Self { predictor } + } + + pub fn builder() -> ChainOfThoughtBuilder { + ChainOfThoughtBuilder::new() + } + + pub async fn call(&self, input: S::Input) -> CallOutcome> + where + S::Input: BamlType, + S::Output: BamlType, + { + self.predictor.call(input).await + } +} + +impl Module for ChainOfThought +where + S: Signature + Clone, + S::Input: BamlType, + S::Output: BamlType, +{ + async fn forward(&self, inputs: Example) -> CallOutcome { + self.predictor.forward(inputs).await + } + + async fn forward_untyped( + &self, + input: crate::BamlValue, + ) -> CallOutcome { + self.predictor.forward_untyped(input).await + } +} + +impl MetaSignature for ChainOfThought +where + S: Signature + Clone, + S::Input: BamlType, + S::Output: BamlType, +{ + fn demos(&self) -> Vec { + self.predictor.demos() + } + + fn set_demos(&mut self, demos: Vec) -> anyhow::Result<()> { + self.predictor.set_demos(demos) + } + + fn instruction(&self) -> String { + self.predictor.instruction() + } + + fn input_fields(&self) -> serde_json::Value { + self.predictor.input_fields() + } + + fn output_fields(&self) -> serde_json::Value { + self.predictor.output_fields() + } + + fn update_instruction(&mut self, instruction: String) -> anyhow::Result<()> { + self.predictor.update_instruction(instruction) + } + + fn append(&mut self, name: &str, value: serde_json::Value) -> anyhow::Result<()> { + self.predictor.append(name, value) + } +} + +impl Optimizable for ChainOfThought +where + S: Signature + Clone, + S::Input: BamlType, + S::Output: BamlType, +{ + fn get_signature(&self) -> &dyn MetaSignature { + self + } + + fn parameters(&mut self) -> IndexMap { + let mut parameters = IndexMap::new(); + parameters.insert( + "predictor".to_string(), + &mut self.predictor as &mut dyn Optimizable, + ); + parameters + } + + fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { + self.predictor.update_signature_instruction(instruction) + } +} + +pub struct ChainOfThoughtBuilder { + inner: PredictBuilder>, +} + +impl ChainOfThoughtBuilder { + fn new() -> Self { + Self { + inner: Predict::builder(), + } + } + + pub fn demo(mut self, demo: Demo>) -> Self { + self.inner = self.inner.demo(demo); + self + } + + pub fn with_demos( + mut self, + demos: impl IntoIterator>>, + ) -> Self { + self.inner = self.inner.with_demos(demos); + self + } + + pub fn add_tool(mut self, tool: impl rig::tool::ToolDyn + 'static) -> Self { + self.inner = self.inner.add_tool(tool); + self + } + + pub fn with_tools( + mut self, + tools: impl IntoIterator>, + ) -> Self { + self.inner = self.inner.with_tools(tools); + self + } + + pub fn instruction(mut self, instruction: impl Into) -> Self { + self.inner = self.inner.instruction(instruction); + self + } + + pub fn build(self) -> ChainOfThought { + ChainOfThought::with_predict(self.inner.build()) + } +} diff --git a/crates/dspy-rs/src/modules/mod.rs b/crates/dspy-rs/src/modules/mod.rs new file mode 100644 index 00000000..042c9f00 --- /dev/null +++ b/crates/dspy-rs/src/modules/mod.rs @@ -0,0 +1,3 @@ +pub mod chain_of_thought; + +pub use chain_of_thought::{ChainOfThought, Reasoning, WithReasoning}; diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index a2c2c914..7107fa89 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -246,21 +246,6 @@ impl PredictBuilder { self } - #[deprecated(since = "0.7.4", note = "Use PredictBuilder::demo(Demo::new(input, output))")] - pub fn demo_signature(mut self, demo: S) -> Self { - self.demos.push(demo_from_signature(demo)); - self - } - - #[deprecated( - since = "0.7.4", - note = "Use PredictBuilder::with_demos(...) with Demo values" - )] - pub fn with_demo_signatures(mut self, demos: impl IntoIterator) -> Self { - self.demos.extend(demos.into_iter().map(demo_from_signature)); - self - } - pub fn add_tool(mut self, tool: impl ToolDyn + 'static) -> Self { self.tools.push(Arc::new(tool)); self @@ -362,15 +347,6 @@ where S::Output::try_from_baml_value(baml_value).map_err(|err| anyhow::anyhow!(err)) } -fn demo_from_signature(signature: S) -> Demo -where - S::Input: BamlType, - S::Output: BamlType, -{ - let (input, output) = signature.into_parts(); - Demo::new(input, output) -} - fn demo_from_example(example: Example) -> Result> where S::Input: BamlType, @@ -436,7 +412,7 @@ fn predict_error_from_outcome(kind: CallOutcomeErrorKind, metadata: CallMetadata impl Module for Predict where - S: Signature + Clone + BamlType, + S: Signature + Clone, S::Input: BamlType, S::Output: BamlType, { diff --git a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs new file mode 100644 index 00000000..826ed828 --- /dev/null +++ b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs @@ -0,0 +1,101 @@ +use dspy_rs::{ + ChainOfThought, ChatAdapter, LM, LMClient, Module, Optimizable, Predict, Reasoning, Signature, + TestCompletionModel, WithReasoning, configure, +}; +use rig::completion::AssistantContent; +use rig::message::Text; +use std::sync::LazyLock; +use tokio::sync::Mutex; + +static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); + +fn response_with_fields(fields: &[(&str, &str)]) -> String { + let mut response = String::new(); + for (name, value) in fields { + response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); + } + response.push_str("[[ ## completed ## ]]\n"); + response +} + +fn text_response(text: impl Into) -> AssistantContent { + AssistantContent::Text(Text { text: text.into() }) +} + +async fn configure_test_lm(responses: Vec) { + unsafe { + std::env::set_var("OPENAI_API_KEY", "test"); + } + + let client = TestCompletionModel::new(responses.into_iter().map(text_response)); + let lm = LM::builder() + .model("openai:gpt-4o-mini".to_string()) + .build() + .await + .unwrap() + .with_client(LMClient::Test(client)) + .await + .unwrap(); + + configure(lm, ChatAdapter {}); +} + +#[derive(Signature, Clone, Debug, PartialEq)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +type QAOutput = __QAOutput; + +fn accepts_module(_: &M) {} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn chain_of_thought_swaps_and_returns_with_reasoning() { + let _lock = SETTINGS_LOCK.lock().await; + let response = response_with_fields(&[("reasoning", "Think"), ("answer", "Paris")]); + configure_test_lm(vec![response]).await; + + let _builder = ChainOfThought::::builder() + .instruction("Be concise") + .build(); + + let cot = ChainOfThought::::new(); + accepts_module(&cot); + + let input = QAInput { + question: "What is the capital of France?".to_string(), + }; + let outcome = cot.call(input).await; + let result: WithReasoning = outcome.into_result().unwrap(); + + assert_eq!(result.reasoning, "Think"); + assert_eq!(result.answer, "Paris"); + + let _predict = Predict::>::new(); +} + +#[test] +fn chain_of_thought_parameters_expose_predictor_for_legacy_optimizers() { + let mut cot = ChainOfThought::::new(); + let mut params = cot.parameters(); + + let names: Vec = params.keys().cloned().collect(); + assert_eq!(names, vec!["predictor".to_string()]); + + let predictor = params + .get_mut("predictor") + .expect("ChainOfThought parameters should expose wrapped predictor"); + predictor + .update_signature_instruction("updated instruction".to_string()) + .unwrap(); + + assert_eq!( + predictor.get_signature().instruction(), + "updated instruction" + ); +} diff --git a/crates/dspy-rs/tests/test_flatten_roundtrip.rs b/crates/dspy-rs/tests/test_flatten_roundtrip.rs new file mode 100644 index 00000000..00c324c2 --- /dev/null +++ b/crates/dspy-rs/tests/test_flatten_roundtrip.rs @@ -0,0 +1,49 @@ +use dspy_rs::{ + Augmented, ChatAdapter, Demo, Message, Reasoning, Signature, WithReasoning, +}; + +#[derive(Signature, Clone, Debug)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +type QAOutput = __QAOutput; + +#[test] +fn augmented_demo_roundtrips_through_adapter() { + let adapter = ChatAdapter; + let demo = Demo::>::new( + QAInput { + question: "What is 2+2?".to_string(), + }, + WithReasoning { + reasoning: "Add the numbers".to_string(), + inner: QAOutput { + answer: "4".to_string(), + }, + }, + ); + + let (user_msg, assistant_msg) = + adapter.format_demo_typed::>(&demo); + let schema = as Signature>::schema(); + let output_names: Vec<&str> = schema.output_fields().iter().map(|f| f.lm_name).collect(); + + assert!(user_msg.contains("question")); + assert!(assistant_msg.contains("reasoning")); + assert!(assistant_msg.contains("answer")); + + let response = Message::assistant(assistant_msg); + let (parsed, _meta) = adapter + .parse_response_typed::>(&response) + .expect("typed parse should succeed"); + + assert_eq!(parsed.reasoning, "Add the numbers"); + assert_eq!(parsed.answer, "4"); + + assert_eq!(output_names, vec!["reasoning", "answer"]); +} diff --git a/crates/dspy-rs/tests/test_with_reasoning_deref.rs b/crates/dspy-rs/tests/test_with_reasoning_deref.rs new file mode 100644 index 00000000..4f69e96c --- /dev/null +++ b/crates/dspy-rs/tests/test_with_reasoning_deref.rs @@ -0,0 +1,29 @@ +use dspy_rs::{Signature, WithReasoning}; + +#[derive(Signature, Clone, Debug, PartialEq)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +type QAOutput = __QAOutput; + +#[test] +fn with_reasoning_deref_exposes_inner_fields() { + let output = WithReasoning { + reasoning: "thinking".to_string(), + inner: QAOutput { + answer: "Paris".to_string(), + }, + }; + + assert_eq!(output.reasoning, "thinking"); + assert_eq!(output.answer, "Paris"); + + let WithReasoning { reasoning, inner } = output; + assert_eq!(reasoning, "thinking"); + assert_eq!(inner.answer, "Paris"); +} diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index 6274914e..06527937 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -36,6 +36,20 @@ pub fn derive_signature(input: TokenStream) -> TokenStream { } } +#[proc_macro_derive(Augmentation, attributes(output, augment, alias))] +pub fn derive_augmentation(input: TokenStream) -> TokenStream { + let input = parse_macro_input!(input as DeriveInput); + let runtime = match resolve_dspy_rs_path() { + Ok(path) => path, + Err(err) => return err.to_compile_error().into(), + }; + + match expand_augmentation(&input, &runtime) { + Ok(tokens) => tokens.into(), + Err(err) => err.to_compile_error().into(), + } +} + fn expand_signature( input: &DeriveInput, runtime: &syn::Path, @@ -669,17 +683,6 @@ fn generate_signature_impl( let instruction = LitStr::new(&parsed.instruction, proc_macro2::Span::call_site()); - let input_field_names: Vec<_> = parsed - .input_fields - .iter() - .map(|field| &field.ident) - .collect(); - let output_field_names: Vec<_> = parsed - .output_fields - .iter() - .map(|field| &field.ident) - .collect(); - let input_fields_static = format_ident!("__{}_INPUT_FIELDS", name.to_string().to_uppercase()); let output_fields_static = format_ident!("__{}_OUTPUT_FIELDS", name.to_string().to_uppercase()); let input_metadata_static = @@ -723,26 +726,211 @@ fn generate_signature_impl( fn output_format_content() -> &'static #runtime::OutputFormatContent { <#output_name as #runtime::BamlType>::baml_output_format() } + } + } +} - fn from_parts(input: Self::Input, output: Self::Output) -> Self { - Self { - #(#input_field_names: input.#input_field_names),*, - #(#output_field_names: output.#output_field_names),* +#[derive(Clone)] +struct AugmentField { + ident: Ident, + ty: syn::Type, + description: String, + alias: Option, +} + +#[derive(Default)] +struct AugmentOptions { + prepend: bool, +} + +fn expand_augmentation( + input: &DeriveInput, + runtime: &syn::Path, +) -> syn::Result { + let data = match &input.data { + Data::Struct(data) => data, + _ => { + return Err(syn::Error::new_spanned( + input, + "#[derive(Augmentation)] only supports structs with named fields", + )); + } + }; + + let fields = match &data.fields { + Fields::Named(named) => &named.named, + _ => { + return Err(syn::Error::new_spanned( + input, + "#[derive(Augmentation)] requires named fields", + )); + } + }; + + let options = parse_augment_options(&input.attrs)?; + let parsed_fields = parse_augmentation_fields(fields)?; + + if parsed_fields.is_empty() { + return Err(syn::Error::new_spanned( + input, + "#[derive(Augmentation)] requires at least one #[output] field", + )); + } + + let struct_name = &input.ident; + let wrapper_name = format_ident!("With{}", struct_name); + + let reasoning_fields: Vec<_> = parsed_fields + .iter() + .map(|field| { + let ident = &field.ident; + let ty = &field.ty; + let mut attrs = Vec::new(); + if !field.description.is_empty() { + let doc = LitStr::new(&field.description, proc_macro2::Span::call_site()); + attrs.push(quote! { #[doc = #doc] }); + } + if let Some(alias) = &field.alias { + let lit = LitStr::new(alias, proc_macro2::Span::call_site()); + attrs.push(quote! { #[facet(rename = #lit)] }); + } + quote! { + #(#attrs)* + pub #ident: #ty + } + }) + .collect(); + + let output_field = quote! { + #[facet(flatten)] + pub inner: O + }; + + let (first_fields, last_fields) = if options.prepend { + (reasoning_fields, vec![output_field]) + } else { + (vec![output_field], reasoning_fields) + }; + + Ok(quote! { + #[derive(Clone, Debug, #runtime::__macro_support::bamltype::facet::Facet)] + #[facet(crate = #runtime::__macro_support::bamltype::facet)] + pub struct #wrapper_name { + #(#first_fields),*, + #(#last_fields),* + } + + impl std::ops::Deref for #wrapper_name { + type Target = O; + fn deref(&self) -> &Self::Target { + &self.inner + } + } + + impl #runtime::__macro_support::bamltype::BamlSchema for #wrapper_name + where + O: for<'a> #runtime::__macro_support::bamltype::facet::Facet<'a>, + { + fn baml_schema( + ) -> &'static #runtime::__macro_support::bamltype::SchemaBundle { + static SCHEMA: ::std::sync::OnceLock< + #runtime::__macro_support::bamltype::SchemaBundle, + > = ::std::sync::OnceLock::new(); + SCHEMA.get_or_init(|| { + #runtime::__macro_support::bamltype::SchemaBundle::from_shape( + >::SHAPE, + ) + }) + } + } + + impl #runtime::augmentation::Augmentation for #struct_name { + type Wrap #runtime::Facet<'a> + Send + Sync> = + #wrapper_name; + } + }) +} + +fn parse_augment_options(attrs: &[Attribute]) -> syn::Result { + let mut options = AugmentOptions::default(); + for attr in attrs { + if !attr.path().is_ident("augment") { + continue; + } + let meta = attr.parse_args_with( + syn::punctuated::Punctuated::::parse_terminated, + )?; + for ident in meta { + let name = ident.to_string(); + match name.as_str() { + "output" => {} + "prepend" => options.prepend = true, + other => { + return Err(syn::Error::new_spanned( + ident, + format!("unsupported #[augment] option `{other}`"), + )); } } + } + } + Ok(options) +} - fn into_parts(self) -> (Self::Input, Self::Output) { - ( - #input_name { - #(#input_field_names: self.#input_field_names),* - }, - #output_name { - #(#output_field_names: self.#output_field_names),* - }, - ) +fn parse_augmentation_fields( + fields: &syn::punctuated::Punctuated, +) -> syn::Result> { + let mut parsed = Vec::new(); + + for field in fields { + let ident = field.ident.clone().ok_or_else(|| { + syn::Error::new_spanned(field, "#[derive(Augmentation)] requires named fields") + })?; + + let mut is_output = false; + let mut alias = None; + let mut desc_override = None; + + for attr in &field.attrs { + if attr.path().is_ident("output") { + is_output = true; + if let Some(desc) = parse_desc_from_attr(attr, "output")? { + desc_override = Some(desc); + } + } else if attr.path().is_ident("input") { + return Err(syn::Error::new_spanned( + attr, + "#[derive(Augmentation)] does not support #[input] fields", + )); + } else if attr.path().is_ident("alias") { + alias = Some(parse_string_attr(attr, "alias")?); + } else if attr.path().is_ident("flatten") { + return Err(syn::Error::new_spanned( + attr, + "#[derive(Augmentation)] does not support #[flatten] on fields", + )); } } + + if !is_output { + return Err(syn::Error::new_spanned( + field, + "#[derive(Augmentation)] requires fields to be marked #[output]", + )); + } + + let doc_comment = collect_doc_comment(&field.attrs); + let description = desc_override.unwrap_or(doc_comment); + + parsed.push(AugmentField { + ident, + ty: field.ty.clone(), + description, + alias, + }); } + + Ok(parsed) } #[allow(unused_assignments, non_snake_case)] diff --git a/docs/plans/modules/slice_2.md b/docs/plans/modules/slice_2.md new file mode 100644 index 00000000..0c05d3cf --- /dev/null +++ b/docs/plans/modules/slice_2.md @@ -0,0 +1,162 @@ +# Slice 2 Implementation Plan: Augmentation + ChainOfThought (V2) + +## Scope & Locked Decisions +- **Slice 2 scope only**: implement F3 (augmentation combinator/macro) and F11 (ChainOfThought module) on top of the Slice 1 surface. Do not reopen Slice 1 deliverables; keep the `CallOutcome` default return, the metadata-rich error plumbing, and the typed `ChatAdapter`/`Predict` contract exactly as shipped after Slice 1. +- **Architectural constraints**: the new code must build on the current `Signature`/`FieldPath` metadata, use the same `CallOutcome`/`CallMetadata` semantics, not introduce new public variants or `Module::forward` signatures, and keep the breadth of the `FieldSchema` walker (no reversion to legacy `FieldSpec`). + +## Ordered implementation sequence (minimize compile breakage) +1. **Signature cleanup prep (keep compile passing while refactoring)** + - Update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` to stop relying on `Signature::into_parts`/`from_parts` by operating on `Demo`'s stored `input`/`output` fields directly. + - Keep `Signature` trait methods temporarily, but mark `demo_signature`, `with_demo_signatures`, and `demo_from_signature` as wrappers that call the new helpers. + - After all call sites use `Demo` fields instead of `into_parts`, remove `Signature::into_parts` & `from_parts` from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs` and the macro generation in `/Users/darin/src/personal/DSRs/crates/dsrs-macros/src/lib.rs` in the same patch to maintain compile stability. + - Run `cargo check -p dspy-rs -p dsrs_macros` once the trait removal is staged to ensure macro changes and callers stay in sync. +2. **Augmentation trait + macro metadata** + - Create `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/augmentation.rs` that defines the augmentation contract (`Augmentation`, `Augmented`) and exports `WithReasoning` helpers for ChainOfThought. The contract should leave augmentation-specific wrappers as strictly typed `BamlType + Facet + Deref` adapters (no `DerefMut`) and expose `Augmented` as the `Signature` combinator that reuses `S::Input` while wrapping `S::Output` with `A::Wrap`. + - Extend `/Users/darin/src/personal/DSRs/crates/dsrs-macros/src/lib.rs` so `#[derive(Augmentation)]` emits `WithReasoning` wrappers, the `Augmentation` impl, `Deref` helpers, and a `#[flatten]`d `output` field whose `FieldPath` metadata puts augmentation-specific fields before the wrapped output when `#[augment(output, prepend)]` is used. + - Ensure the macro also implements `Facet`/`BamlType` for `WithReasoning` and emits `FieldSchema` metadata consistent with the flattened layout; test by running `cargo check -p dsrs_macros` before adding consumers. +3. **Predict/ChatAdapter adjustments for augmentation** + - Update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` to let `Predict>` carry `CallOutcome>`, to convert between `Example` and `Demo` without `into_parts`, and to keep metadata as-is. + - Update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` so `format_demo_typed` accepts `&Demo` (no `Signature::into_parts`), and verify `parse_response_typed` correctly traverses `FieldPath`s for `WithReasoning` fields generated via augmentation. + - After these adjustments compile, re-run `cargo check -p dspy-rs` to ensure typed parsing still succeeds. +4. **ChainOfThought module implementation** + - Implement `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs` containing `ChainOfThought`, the `Reasoning` facet, and a builder that wraps `Predict>`. + - Wire `ChainOfThought` into `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs` (e.g., add `pub mod modules;` and `pub use modules::chain_of_thought::{ChainOfThought, Reasoning};`). + - Implement `ChainOfThought::call` mirroring `Predict::call` but returning `CallOutcome>` and call metadata, and implement `Module`/`MetaSignature`/`Optimizable` in exactly the same shape as `Predict`, so `ChainOfThought` can replace `Predict` in graphs without reworking `CallOutcome` behaviors. +5. **Validation tests for deref, flatten roundtrip, and CoT swap** + - Create dedicated tests (see section below) and run `cargo test -p dspy-rs --tests` to confirm deref ergonomics, schema round-trips, and `ChainOfThought` swap. +6. **Re-export + documentation updates (post-implementation)** + - Add doc comments summarizing the augmentation workflow and update `docs/plans/modules/slice_2_research.md` or other relevant docs to mention the `BamlValue` reconstruction choice and `Deref` guidance (already started in the research doc). No new API surface beyond the planned module. + +## File-specific tasks and exact signatures/macro outputs + +### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs` +- Remove `fn from_parts(input: Self::Input, output: Self::Output) -> Self` and `fn into_parts(self) -> (Self::Input, Self::Output)` from `trait Signature`. +- Keep the rest of the trait intact so `SignatureSchema` still consumes `instruction()`, `input_shape`, `output_shape`, `input/output_field_metadata`, and `output_format_content`. +- After trait removal, ensure no other file calls the deleted methods by updating `PredictBuilder::demo_signature`, `with_demo_signatures`, and any adapters; once the callers are rewritten, delete those helper methods entirely. + +### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` +- Replace `demo.into_parts()` usage in `ChatAdapter` calls with direct access to `demo.input`/`demo.output`. +- Delete `demo_from_signature` and the deprecated builder helpers once trait cleanup is finished. +- Ensure `Predict::call` is generic over `S::Input: BamlType` and `S::Output: BamlType` as today, but add a helper `fn wrap_with_reasoning(output: S::Output) -> A::Wrap` when building `Augmented`-based predictors. +- When `ChainOfThought` plugs in, call `self.predictor.call(input)` (where `predictor` is `Predict>`) and return the resulting `CallOutcome>`. + +### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` +- Change `format_demo_typed` signature to `pub fn format_demo_typed(&self, demo: &Demo) -> (String, String)` and call `format_user_message_typed(&demo.input)`/`format_assistant_message_typed(&demo.output)`. +- Verify the `FieldPath` navigation helpers (`value_for_path`, `insert_baml_at_path`) continue to work for `WithReasoning` by ensuring the generated schema still emits the reasoning field’s path (`reasoning`) and the flattened output fields (e.g., `answer`/`confidence`). +- No changes to the parsing logic are necessary beyond confirming config because `SignatureSchema::output_fields()` derives from the new `WithReasoning` shape created by the augmentation macro. + +### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/augmentation.rs` (new file) +Define the augmentation primitives with these exact signatures: +```rust +use std::marker::PhantomData; +use std::ops::Deref; +use crate::{BamlType, Facet, Signature}; + +pub trait Augmentation: Send + Sync + 'static { + type Wrap: BamlType + Facet + Deref; +} + +pub struct Augmented { + _marker: PhantomData<(S, A)>, +} + +impl Signature for Augmented { + type Input = S::Input; + type Output = A::Wrap; + + fn instructions() -> &'static str { + S::instructions() + } +} +``` +- Also expose helper traits to fetch the wrapped output (e.g., `pub type AugmentedOutput = as Deref>::Target;`). +- Re-export this module from `crates/dspy-rs/src/lib.rs` so `ChainOfThought` and other consumers can `use dspy_rs::augmentation::{Augmentation, Augmented};`. + +### `/Users/darin/src/personal/DSRs/crates/dsrs-macros/src/lib.rs` +- Add support for `#[derive(Augmentation)]` with an optional `#[augment(output, prepend)]` attribute. The macro should: + 1. Declare `pub struct With { pub reasoning: , #[flatten] pub output: O }` with `reasoning` fields derived directly from the annotated struct. + 2. Implement `Deref` so `With...` transparently forwards to the wrapped output and a `From> for With...` if needed. + 3. Implement `Augmentation` for the original struct: `impl Augmentation for Reasoning { type Wrap = WithReasoning; }`. + 4. Apply `#[derive(BamlType, Facet)]` to `WithReasoning` so the generated `FieldSchema`s carry flattened metadata; the macro should insert the `output` field with `#[flatten]` and ensure the augmentation fields (reasoning) appear ahead of the flattened `output` when `prepend` is specified. + 5. Propagate the doc comments (`collect_doc_comment`) from the annotated struct to the generated `reasoning` fields so LM instructions stay consistent. +- The macro should also emit an inherent `impl` for `WithReasoning` that exposes `pub fn reasoning(&self) -> &Reasoning` so ergonomic access works even before `Deref` (helpful for pipe/resizable code). + +### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs` (new file) +Define: +```rust +use crate::{CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Example, FieldSchema, Module, Optimizable, Predict, Prediction, Signature}; +use crate::augmentation::{Augmentation, Augmented}; + +pub struct Reasoning { + #[output] + pub reasoning: String, +} + +#[derive(Default)] +pub struct ChainOfThought { + predictor: Predict>, +} +``` +- Provide `impl ChainOfThought { pub fn new() -> Self; pub fn with_predict(predictor: Predict>) -> Self; pub fn builder() -> ChainOfThoughtBuilder; pub async fn call(&self, input: S::Input) -> CallOutcome> { self.predictor.call(input).await } }`. `new()` must construct with `Predict::>::new()` to match U13 (`ChainOfThought::::new()`), and `ChainOfThoughtBuilder` must expose the full delegated `PredictBuilder>` DSL (demos, instruction overrides, tools) for swap ergonomics. +- Implement `Module`/`MetaSignature`/`Optimizable` the same way `Predict` currently does, forwarding `forward`, `forward_untyped`, and the metadata methods to the internal `Predict>` so the optimizer/walker sees the same `CallOutcome` flow and field schema as `Predict`. +- Re-export `ChainOfThought` and `Reasoning` through `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs` so modules can `use dspy_rs::modules::chain_of_thought::ChainOfThought;` and swap it in place of `Predict`. + +## Macro expansion example for `#[derive(Augmentation)]` + `#[augment(output, prepend)]` +Given +```rust +#[derive(Augmentation, Facet, BamlType)] +#[augment(output, prepend)] +pub struct ReasoningFacet { + #[output] + pub reasoning: String, +} +``` +the macro should expand to roughly: +```rust +pub struct WithReasoningFacet { + pub reasoning: String, + #[flatten] + pub output: O, +} + +impl Deref for WithReasoningFacet { + type Target = O; + fn deref(&self) -> &Self::Target { &self.output } +} + +impl Augmentation for ReasoningFacet { + type Wrap = WithReasoningFacet; +} +``` +Because the `output` field is annotated with `#[flatten]`, `SignatureSchema::output_fields()` emits two `FieldSchema`s: one for `reasoning` with `FieldPath::new(["reasoning"])` and one for every field inside `O` with `FieldPath`s such as `["answer"]`. The `prepend` flag instructs the macro to insert the reasoning `FieldSchema` before the flattened `output` fields so collection order matches the spec. + +## ChainOfThought wiring details +- `ChainOfThought` stores a `Predict>` and exposes `call(input: S::Input)` returning `CallOutcome>` by delegating to the inner predictor. It reuses the same `CallOutcome`/`CallMetadata` as `Predict` so metadata stays intact (raw text, token counts, field checks). +- `Module::forward`/`forward_untyped` for `ChainOfThought` mirror the implementations in `Predict`, converting `Example`/`BamlValue` to typed inputs, calling `Predict::call`, and transforming the `WithReasoning` output into a `Prediction` while preserving metadata. +- `MetaSignature` implementation forwards to the inner `Predict` so the optimizer/walker sees the same schema (including the augmented `reasoning` field) and the same `CallOutcome` machinery. +- Expose a builder (`ChainOfThoughtBuilder`) that wraps `PredictBuilder>` so demos/instruction overrides continue to work. + +## Migration steps (Signature cleanup + Demo/adapter integration) +1. **Demo helpers**: remove `demo_signature`, `with_demo_signatures`, and `demo_from_signature`; update `PredictBuilder` to accept only `Demo` values. +2. **Example conversion**: `example_from_demo` no longer relies on `Signature::into_parts`; keep using `demo.input`/`demo.output` for serialization/deserialization. +3. **ChatAdapter**: update `format_demo_typed` to accept `&Demo` and call `format_user_message_typed(&demo.input)`/`format_assistant_message_typed(&demo.output)` so `Recursive FieldPath` logic continues to work after trait cleanup. +4. **Signature trait**: remove `from_parts/into_parts` and ensure `dsrs-macros` no longer tries to synthesize them; add release notes if ratio instructs. +5. **Field schema verification**: ensure `SignatureSchema` still builds `FieldPath`s for new `WithReasoning` output by running `cargo test -p dspy-rs tests::test_chat_adapter_schema` (existing test) once new augmentation derived fields exist. + +## Explicit test matrix +| File | Focus | Key assertions | +|------|-------|----------------| +| `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_with_reasoning_deref.rs` | S3 deref ergonomics | instantiate `Reasoning`/`WithReasoning` via the macro, assert `result.reasoning` is reachable, `Deref` lets you call methods on the inner `QAOutput`, and pattern matching without `.reasoning` requires destructuring (the test can assert that `let WithReasoning { reasoning, output: _ } = result;` compiles).| +| `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_flatten_roundtrip.rs` | Flatten metadata + ChatAdapter roundtrip | Build a `Demo>`, call `ChatAdapter::format_demo_typed`, feed the formatted strings back into `ChatAdapter::parse_response_typed::>()`, and assert the returned `WithReasoning` has both `answer`/`confidence` (flattened) and `reasoning` fields populated. Ensure `FieldPath`s from `schema.output_fields()` include `reasoning` before the QA output paths.| +| `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_chain_of_thought_swap.rs` | ChainOfThought swap type check | Define a helper that accepts any `impl Module` and show that `ChainOfThought::` builds via its builder and satisfies the `Module` bound. Additionally construct a `Predict>` call and assert `CallOutcome>` returns the reasoning string and can be `.into_result().unwrap()`. This test verifies that swapping `Predict` for `ChainOfThought` compiles and exposes the augmented output.| + +## Recommended verification cadence +- After signature cleanup and demo rewrites: `cargo check -p dspy-rs`. +- After augmentation macro changes: `cargo check -p dsrs_macros`. +- After ChainOfThought implementation: `cargo test -p dspy-rs --tests test_chain_of_thought_swap test_flatten_roundtrip test_with_reasoning_deref`. +- Before merging: full `cargo test -p dspy-rs --tests`. + +## Next steps +1. Implement the trait/macro changes in the order outlined above. +2. Add the ChainOfThought module and tests once the augmentation macro is complete. +3. Run the verification commands and capture any new diagnostics in `/Users/darin/src/personal/DSRs/docs/plans/modules/tracker.md` if they affect later slices. diff --git a/docs/plans/modules/slice_2_refinery.md b/docs/plans/modules/slice_2_refinery.md new file mode 100644 index 00000000..81bc9fce --- /dev/null +++ b/docs/plans/modules/slice_2_refinery.md @@ -0,0 +1,27 @@ +# Slice 2 Plan Refinery + +## Spec fidelity (V2 only) +- The shaping docs charge Slice 2 with delivering F3 (augmentation combinators) and F11 (ChainOfThought) on top of the existing Slice 1 surface without re-opening earlier work. The current plan partly addresses this, but the augmentation section still treats `Augmented` as an `Augmentation` implementation target rather than the Signature-level combinator described in `docs/specs/modules/design_reference.md` §4 and `docs/specs/modules/shapes.md` (F3). In practice that means the plan risks hardwiring augmentation metadata in the wrong module and leaving the signature combinator under-specified. The critique below updates the plan accordingly. +- The ChainOfThought module is described at the right level (predictor wrapper + builder + re-export) but needs to explicitly reuse `PredictBuilder::>` so that the API matches the breadboard affordances (slice narrative at `docs/specs/modules/breadboard.md`, U13/U16). Otherwise type-switching becomes more invasive than intended. + +## Shape compliance (F3 + F11) +- F3 requires an augmentation derive that emits a wrapper type with `#[flatten]` and `Deref`, generating FieldPaths before the wrapped output when `prepend` is used. The plan already describes building `WithReasoning` and flattening metadata, but the Augmentation trait description must drop the `DerefMut` requirement and clarify that `Augmented` implements `Signature` (not `Augmentation`) so the combinator stays at the type level. That matches the Shape doc's resolution of S3 and S7. +- F11's ChainOfThought needs to be discoverable as a Module, keep the same `CallOutcome` metadata, and fit into the `Strategy swap` affordance (U16) by letting the user swap `Predict` for `ChainOfThought` with minimal plumbing. The plan already mirrors `Predict` in structure, but call/delegate logic should be spelled out to avoid divergence. + +## Breadboard consistency (U12/U13/U16/U17-20/U28/U29/N14) +- U12/U17–20 insist that the augmented reasoning field behaves like any other output field via Deref after `#[derive(Augmentation)]`. Removing `DerefMut` and ensuring the macro emits the wrapper and `Augmentation` implementation keeps the user-facing behavior aligned with the breadboard narrative. +- U13/U16 highlight the `ChainOfThought` builder and strategy swap. The plan must keep the `ChainOfThought` constructor shape matching `PredictBuilder` (so demos/instructions/tools still look familiar) and call `WithReasoning` outputs through the same `CallOutcome` plumbing (N14 + U28/U29). The plan touches these points but should explicitly link them in the implementation steps. + +## Sequencing and dependencies +- Step order is reasonable: signature cleanup → augmentation/macro → predictor/adapters → ChainOfThought → tests → docs. It respects the dependency chain, but the plan should remind readers that removing `Signature::from_parts/into_parts` must happen before the permutation of `Demo` helpers is deleted (`Step 1` already covers this). Adding a short cross-reference will keep readers from accidentally reintroducing the old helpers later. + +## API design consistency with current code +- The plan commits to keeping `CallOutcome`, metadata, and `ChatAdapter` helper semantics unchanged, which matches the requirement from the breadboard (U9–U10) and the design reference (same adapter/prompt format). The new `ChainOfThought` module should remain a simple wrapper so existing call sites only need to change a type annotation and the `call`/`forward` pattern stays consistent. +- On augmentation, the new module must expose `Augmentation`, `Augmented`, and the concrete `WithReasoning` wrapper in a public API (per design reference §4). The plan already re-exports these from the top-level crate, so remaining work is to ensure the combinator shape is documented and `WithReasoning` exposes helper accessors for the reasoning fields (i.e., provide `fn reasoning(&self)` even before relying on Deref). + +## Over-engineering +- The plan currently adds a dedicated test for `ChainOfThought` swapping, flatten round-trips, and Deref ergonomics. Those are high-signal verification points for Slice 2, so they are appropriate; the risk of over-engineering would arise if we added unrelated tooling or extra layering beyond the spec, which the plan avoids. +- The only quibble is the `augmentation.rs` snippet, which tries to make `Augmented` also implement `Augmentation`. That duplication increases cognitive load for reviewers without changing behavior. Reframing `Augmented` as the signature combinator eliminates the extra indirection. + +## Unresolved points +- diff --git a/docs/plans/modules/slice_2_research.md b/docs/plans/modules/slice_2_research.md new file mode 100644 index 00000000..7e3e0750 --- /dev/null +++ b/docs/plans/modules/slice_2_research.md @@ -0,0 +1,59 @@ +# Slice 2 Research: Augmentation + ChainOfThought + +## 1. Slice 2 requirement checklist +- **U12 (Deref to augmented field)** — the demo must let callers treat `result.reasoning` as a first-class field, relying on `Deref` to reach the inner output; this is the core visibility change for F3 in V2 (`docs/specs/modules/breadboard.md:79-119`). +- **U13 (ChainOfThought library module)** — `ChainOfThought::::new()` must exist, build on the augmentation combinator, and surface the same `CallOutcome`/metadata plumbing as `Predict` (`docs/specs/modules/breadboard.md:364-380`). +- **U16 (Strategy swap)** — swapping `Predict` for `ChainOfThought` must type-check without additional wiring, even though the output type shifts from `QAOutput` to `WithReasoning` (`docs/specs/modules/breadboard.md:79-119`). +- **U17–U20 (Augmentation derive + wrapper)** — the proc-macro must support `#[derive(Augmentation)]`, the `#[augment(output, prepend)]` attribute, the generated wrapper (`WithReasoning`), and the `Augmented` type-level combinator so module authors never hand-write field plumbing (`docs/specs/modules/breadboard.md:364-380`). +- **U28, U29 (Predict field + `#[derive(Facet)]`)** — library modules like ChainOfThought must own an internally derived `Predict>` and stay discoverable via the Facet walker (`docs/specs/modules/breadboard.md:364-380`). +- **N14 (Augmentation macro)** — the compiler-side macro must generate the wrapper, `Deref`, `Facet`, and `BamlType` plumbing that keeps the flattened schema consistent (`docs/specs/modules/breadboard.md:364-380`). +- **F3 (Augmentation derive/combinator)** — the augmentation derive must emit `WithReasoning` plus `Deref`, flatten metadata, and the reusable `Augmented` combinator (`docs/specs/modules/shapes.md:59-120`). +- **F11 (Library modules)** — ChainOfThought is the first concrete implementation; its definition demonstrates the output change, the `Module` implementation, and how it plugs into the walker and optimizer (`docs/specs/modules/shapes.md:67-140`). + +## 2. Relevant types, schemas, and traits +### Signature surface (existing code) +- `MetaSignature` / `Signature` define the compile-time contract that `Predict` and all future modules satisfy. The trait currently exposes `instruction()`, cached `SignatureSchema`, field metadata, and the obsolete `from_parts`/`into_parts` helpers that Slice 2 will remove (`crates/dspy-rs/src/core/signature.rs:37-82`). +- `SignatureSchema`, `FieldSchema`, and `FieldPath` already capture flatten-aware metadata: each `FieldSchema` records the LM name, type, docs, and the `FieldPath` that records the flattened position inside nested `Facet` structs (`crates/dspy-rs/src/core/schema.rs:13-178`). + +### Augmentation & ChainOfThought (design reference) +- `Augmentation` trait: `type Wrap: BamlType + Facet + Deref` (`docs/specs/modules/design_reference.md:247-308`). +- Derive output: `#[derive(Augmentation)]` on `Reasoning` must emit `WithReasoning` (Facet, BamlType, flatten, `Deref`) plus the trait impl `impl Augmentation for Reasoning` (`docs/specs/modules/design_reference.md:259-308`). +- `Augmented` is a zero-sized combinator that projects `S::Input` to `A::Wrap` and forwards instructions unchanged; `Predict` will hold `Augmented` so the LM interacts with the extended schema (`docs/specs/modules/design_reference.md:299-309`). +- ChainOfThought module spec: `ChainOfThought` wraps a `Predict>`, implements `Module`, and exposes `CallOutcome>` (`docs/specs/modules/design_reference.md:861-885`). + +### Predict / Demo / ChatAdapter patterns (current implementation) +- `Demo` stores `input: S::Input` and `output: S::Output`. `Predict::call` builds prompts via `ChatAdapter`, streams LM responses, parses them back, and returns `CallOutcome` (`crates/dspy-rs/src/predictors/predict.rs:19-191`). +- `PredictBuilder` accumulates tools/demos/instruction overrides and feeds them into `Predict` (`crates/dspy-rs/src/predictors/predict.rs:200-271`). +- `ChatAdapter` typed helpers format prompts and parse responses against `SignatureSchema`, iterate over `FieldSchema::path()`, and insert responses back into nested `BamlValue` via `insert_baml_at_path` (`crates/dspy-rs/src/adapter/chat.rs:430-757`, `883-930`). +- Macro scaffolding: `#[derive(Signature)]` already parses `#[input]`, `#[output]`, `#[flatten]`, alias, format, and constraint attributes before emitting the generated types (`crates/dsrs-macros/src/lib.rs:66-160`). + +## 3. Existing code patterns to extend +- **Typed pipeline**: `Predict::call` (lines 51-190) shows the full trace: build system prompt, emit demo/inputs with `ChatAdapter`, call the LM, parse typed response, and convert to `CallOutcome`. ChainOfThought will reuse the adapter + `CallOutcome` plumbing (`crates/dspy-rs/src/predictors/predict.rs:51-191`). +- **Relational schema + flatten traversal**: `SignatureSchema::build` walks `Facet` fields, handles `flatten` by recursively extending each `FieldPath`, and creates the `FieldSchema` records that `ChatAdapter` already consumes (`crates/dspy-rs/src/core/schema.rs:105-200`). +- **Path-aware insertion**: `ChatAdapter::format_user_message_typed`, `.format_assistant_message_typed`, and `.parse_response_typed` all rely on `FieldPath` to read/write nested data, demonstrating the intended `F7` path navigation (`crates/dspy-rs/src/adapter/chat.rs:525-757`, `883-930`). +- **Demo formatting**: `format_demo_typed` currently splits a `Signature` via `into_parts`; Slice 2 will switched to working with `Demo` directly once `Signature` no longer requires `into_parts` (`crates/dspy-rs/src/adapter/chat.rs:572-581`). +- **Macro parsing stage**: `parse_signature_fields` and the `ParsedField` structure show where `#[flatten]` and future `#[augment]` attributes will hook into code generation (`crates/dsrs-macros/src/lib.rs:66-160`). + +## 4. Gaps between current implementation and V2 requirements +- **Trait surface mismatch**: `Signature` still requires `from_parts`/`into_parts` and exposes shapish helper lists; spec (S7) calls for dropping those methods and simplifying to input/output types + instructions so `Augmented` can be a pure combinator (`docs/specs/modules/spikes/S7-augmentation-derive-feasibility.md:1-78`). +- **Augmentation derive not implemented**: no `#[derive(Augmentation)]` macro exists yet, so there is no `WithReasoning` wrapper or `Augmented` combinator in code; the stack currently still uses `FieldSpec` metadata and direct `Signature` splitting (`crates/dspy-rs/src/core/signature.rs` and `crates/dspy-rs/src/adapter/chat.rs:572-757`). +- **ChainOfThought module missing**: no `ChainOfThought` type, `Predict>`, or module registration exists in the workspace, so `U13` and `U28` cannot be satisfied (`docs/specs/modules/design_reference.md:861-884`). +- **Residual split helpers still present**: Slice 1 moved `Predict` storage to `Vec>` and typed parse/format to `FieldPath`, but deprecated conversion paths still rely on `Signature::from_parts`/`into_parts` (`PredictBuilder::demo_signature`, `ChatAdapter::format_demo_typed`) and should be removed as part of S7 cleanup (`crates/dspy-rs/src/predictors/predict.rs:230-347`, `crates/dspy-rs/src/adapter/chat.rs:568-581`). +- **Legacy compatibility surface still depends on `FieldSpec`/`MetaSignature`**: while typed path is schema-first, V2 implementation must avoid regressing compatibility during augmentation rollout (especially where legacy adapters/optimizers still consume JSON field maps) (`crates/dspy-rs/src/core/signature.rs:10-67`, `crates/dspy-rs/src/predictors/predict.rs:273-399`). + +## 5. Spec ambiguities + recommended decisions +- **Mutability / pattern limitations (S3)**: nested `Deref` already handles reads/methods; pattern matching and mutation require explicit destructuring or `DerefMut`. Recommendation: keep `Deref` only for now, document that pattern matching must unwrap layer-by-layer, and add compile tests for both supported (field reads/methods) and unsupported (pattern match/mutation without `DerefMut`) scenarios (`docs/specs/modules/spikes/S3-augmentation-deref-composition.md:24-104`). +- **Path-aware reconstruction**: the design reference spells out two options (Facet `Partial` vs building nested `BamlValue`), and no final decision is written down (`docs/specs/modules/design_reference.md:323-327`). Recommendation: start with the simpler `BamlValue` reconstruction that follows `FieldPath`, then refactor to `Partial` only if streaming/evaluation requires it, because `ChatAdapter::parse_response_typed` already expects to build a `BamlValue` map (`crates/dspy-rs/src/adapter/chat.rs:609-757`). +- **Augmentation derive + trait shape (S7)**: `#[derive(Augmentation)]` must generate generic wrappers and rely on the existing Facet/BamlType derives; there is no need for `from_parts`/`into_parts` in the trait anymore (`docs/specs/modules/spikes/S7-augmentation-derive-feasibility.md:1-78`). Recommendation: adopt the simplified `Signature` trait from S7 and codegen that emits `Augmented` plus wrapper types with flatten metadata. + +## 6. Recommended implementation approach +1. **Simplify `Signature` & flow**: drop `from_parts`/`into_parts`, restrict `Signature` to `Input`, `Output`, and `instruction()`, and change `Predict`, demos, and `ChatAdapter::format_demo_typed` to work with `Demo` directly as S7 prescribes (`docs/specs/modules/spikes/S7-augmentation-derive-feasibility.md:42-78`). +2. **Augmentation derive + combinator**: implement `#[derive(Augmentation)]` to emit `WithReasoning` (`Facet`, `BamlType`, `flatten`, `Deref`) and register the generated wrapper in the `Augmentation` trait, plus the `Augmented` phantom type that maps `S::Output` → `A::Wrap` (`docs/specs/modules/design_reference.md:247-353`). +3. **ChainOfThought module**: add `ChainOfThought` (Facet struct with a `Predict>`, `Module` implementation forwarding to `predict.call`) and ensure the library registers any factory needed for the optimizer + walker (`docs/specs/modules/design_reference.md:861-885`). +4. **Macro + metadata wiring**: extend `dsrs-macros` to emit `FieldSchema` metadata that records `FieldPath`s for both user fields and flattened wrapper fields; ensure the `#[augment]` attribute marks `inner` appropriately so `collect_fields` can rebuild nested paths (`crates/dsrs-macros/src/lib.rs:66-160`, `crates/dspy-rs/src/core/schema.rs:180-258`). +5. **Adapter plumbing**: preserve the existing `FieldPath`-based typed path and add augmentation-specific roundtrip tests verifying composed wrappers survive `insert_baml_at_path`/typed extraction (`crates/dspy-rs/src/adapter/chat.rs:525-757`, `883-930`). +6. **Tests/verification**: + - Unit tests for `WithReasoning>` to confirm `result.reasoning`, `result.answer`, and `result.confidence` resolve via `Deref`, while pattern matching/mutation fail unless `DerefMut` is explicitly derived (S3 acceptance, `docs/specs/modules/spikes/S3-augmentation-deref-composition.md:69-104`). + - Integration test that instantiates `ChainOfThought`, feeds a stubbed LM, and asserts the LM prompt/output includes both reasoning and answer fields at the flattened level. + - Round-trip test that builds a `Demo>`, formats it, parses the LM response, and verifies `ChatAdapter` produces a `WithReasoning` that reconstructs the expected nested `BamlValue` (`crates/dspy-rs/src/adapter/chat.rs:568-748`). +7. **Documentation + decision notes**: update the research doc (this file) and the design reference to mention the mutability constraints, pattern-matching guidance, and the `BamlValue` path reconstruction choice so downstream authors follow the same rules (`docs/specs/modules/design_reference.md:333-356`). diff --git a/docs/plans/modules/slice_2_review.md b/docs/plans/modules/slice_2_review.md new file mode 100644 index 00000000..b84946bb --- /dev/null +++ b/docs/plans/modules/slice_2_review.md @@ -0,0 +1,20 @@ +# Slice 2 Adversarial Review + +## Spec Fidelity + +### ChainOfThought must be a `Facet` value for F6 discovery +- **Ground truth:** `shapes.md` defines F6 as “Facet-powered parameter discovery” and F11 says every library module (including `ChainOfThought`) must be discoverable through that walker so downstream components (ProgramGraph, optimizers) can iterate `Predict` leaves. `design_reference.md` even shows `ChainOfThought` annotated with `#[derive(Facet)]` and passed to `ProgramGraph::from_module` so `named_parameters` can find `predict` and add it as a node. *(docs/specs/modules/shapes.md:61‑67, docs/specs/modules/design_reference.md:840‑885)* +- **Implementation:** `crates/dspy-rs/src/modules/chain_of_thought.rs` defines `ChainOfThought` with only `#[derive(Default)]` and `#[derive(Augmentation, Clone, Debug)]` on `Reasoning`; there is no `#[derive(Facet)]` on the module itself nor a manual `Facet` impl for the struct, so the `predictor` field is invisible to reflection and the walker described in F6 cannot reach the `Predict`. *(chain_of_thought.rs:16‑53)* +- **Impact:** Without `Facet`, `ChainOfThought` never contributes its internal `Predict` to the optimizer/runtime graph, so the promise of automatic discovery in R4/F6/F11 stays unfulfilled. Strategy swap a la U16 cannot be validated by the future `ProgramGraph` projection. Please derive/implement `Facet` for the module and expose the `predictor` field so the shape walker can enumerate the leaf predictor. + +### Module interface still returns untyped `Prediction` +- **Ground truth:** The ChainOfThought example in `design_reference.md` ties the typed module surface directly to the typed output: `Module::forward` takes `S::Input` and returns `CallOutcome>`, mirroring the `Predict` call. This is the API that makes the “type swap” story work—upgrading `Predict` to `ChainOfThought` should only change the output type while reusing the same module call. *(docs/specs/modules/design_reference.md:861‑885)* +- **Implementation:** The current `Module` trait (and `ChainOfThought`’s impl) still operates on raw `Example`/`Prediction`. `ChainOfThought::forward` simply calls `self.predictor.forward` and returns `CallOutcome`, despite `call` returning `CallOutcome>`. There is no typed wrapper around the module entry point, so clients calling through `Module` do not observe the augmented fields directly. *(chain_of_thought.rs:45‑60)* +- **Impact:** The breadboard story for U13/U16 (swap `Predict` for `ChainOfThought`, get `.reasoning` via the same call) cannot be validated through the module trait because the interface still reserializes everything into `Prediction`. Please align `Module::forward` with the design (or introduce a typed module trait) so the `ChainOfThought` module can expose typed outcomes without rebuilding the `Prediction` map. + +## Shape & Optimization Compliance + +### Legacy optimizer path cannot see the inner predictor +- **Ground truth:** F6 expects every `Module` to reveal its `Predict` leaves via reflection rather than custom `Optimizable` plumbing, and the design reference projects any `Facet` module into `ProgramGraph::from_module` by calling `named_parameters`. Until the walker lands, the old `Optimizable` interface still has to work, meaning library modules must forward their `Predict` handles through `parameters()`. *(docs/specs/modules/shapes.md:61‑67, docs/specs/modules/design_reference.md:840‑885)* +- **Implementation:** `ChainOfThought::parameters` returns `IndexMap::new()` even though the struct contains `predictor: Predict<...>`. There is no surrogate for the walker yet, so no optimizer can mutate the demos/instruction of the wrapped predictor through the existing entry points. *(chain_of_thought.rs:98‑114)* +- **Impact:** Optimizers (COPRO/MIPRO/GEPA) that still rely on `Optimizable::parameters` cannot discover or tune the inner `Predict`, defeating part of R4 and breaking the planned optimizer hand-off until the Facet walker is wired in. Please expose the predictor in `parameters()` or wire the new walker so `ChainOfThought` participates in parameter traversal from the start. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index c35bd5d8..fa3d5dce 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,7 +1,7 @@ # Implementation Tracker ## Current State -- **Slice**: 1 +- **Slice**: 2 - **Phase**: Commit ## Active Subagents @@ -18,6 +18,13 @@ | `019c41ca-9537-7e01-9ab4-d560308f1cd3` | Implement Slice 1 plan in code/tests | 1 | Implement | Partial; edited core/macro/adapter/predict surfaces but left compile break (`core/module.rs` delimiter), incomplete test migration, and unexpected out-of-scope edits in optimizer files (`optimizer/gepa.rs`, `optimizer/mipro.rs`) | | `manual` | Implement Slice 1 completion pass | 1 | Implement | Completed; fixed compile break, finalized `CallOutcome`/schema test migration, added `test_signature_schema.rs` + `test_call_outcome.rs` + `test_chat_adapter_schema.rs`, and updated typed integration tests to `Predict::call(...).await.into_result()` | | `019c41e1-6eb1-76e2-9402-aee1bdb2f20e` | Adversarial review against ground truth | 1 | Adversarial Review | Completed; reported one high finding (`MetaSignature` flatten marker mismatch); finding accepted and fixed by switching legacy field keys to `lm_name` and broadening header parser regex | +| `019c41e9-c4a2-7c93-9e85-b76d8e8e5bae` | Research brief for Slice 2 (V2 augmentation + CoT) | 2 | Research | Completed; produced `slice_2_research.md` and amended gap analysis to reflect current Slice 1 state (typed path already `FieldPath`-based; residual split helpers and augmentation/CoT gaps remain) | +| `019c41ed-b602-7530-9c6c-80ba69ba9c24` | Stupidly implementable plan for Slice 2 (V2 augmentation + CoT) | 2 | Plan | Failed/no output; subagent returned no completion and did not create `slice_2.md` | +| `019c43b1-97e4-7391-b609-750ee9d2e188` | Replacement planning brief for Slice 2 (V2 augmentation + CoT) | 2 | Plan | Completed; generated `slice_2.md`, but initial review found spec fidelity issues requiring refinery (incorrect `Augmented` trait modeling, over-strong `DerefMut` requirement, and non-canonical CoT constructor shape) | +| `019c43b4-cc15-7141-8644-166205cf4a26` | Plan refinery against ground truth for Slice 2 | 2 | Plan Refinery | Completed; produced `slice_2_refinery.md`, updated `slice_2.md`, and surfaced one arbitration item now resolved (`ChainOfThoughtBuilder` delegates full `PredictBuilder` DSL; wrappers remain `Deref`-only) | +| `019c43be-fa6e-7080-97d8-08ceaab8c4db` | Implement Slice 2 plan in code/tests | 2 | Implement | Partial; macro conflicts required manual completion and additional adapter/schema adjustments to align flattened augmentation fields | +| `019c43e9-045c-7693-bc73-2e13531c3b28` | Adversarial review against ground truth | 2 | Adversarial Review | Completed; produced `slice_2_review.md` with three findings (missing Facet on `ChainOfThought`, untyped `Module::forward` mismatch against design example, and empty legacy `parameters()` visibility) | +| `019c4412-6e17-7fb2-8abf-321f4e4d415e` | Apply agreed Slice 2 arbitration fix (legacy optimizer visibility) | 2 | Arbitrate | Completed; updated `ChainOfThought::parameters()` to expose `predictor` and added regression test `chain_of_thought_parameters_expose_predictor_for_legacy_optimizers` | ## Decisions & Architectural Notes @@ -33,6 +40,14 @@ - **Adversarial arbitration (2026-02-09):** Accepted high-severity review finding on legacy flatten marker mismatch. Fixed by (1) emitting `FieldSchema::lm_name` keys in `schema_fields_to_value`, and (2) updating `FIELD_HEADER_PATTERN` to parse non-`\w` marker names (including dotted aliases/paths). - **Smoke test (2026-02-09):** Real LM call passed end-to-end using `cargo run -p dspy-rs --example _slice1_smoke` with `.env` `OPENAI_API_KEY` and model `openai:gpt-5.2`; typed path returned expected `answer = "smoke-ok"`. - **Arbitration result (2026-02-09):** Agreed with the single review finding and fixed it in-place (`predict.rs` legacy field-key mapping and `chat.rs` header regex). Post-fix test suite and smoke run passed. +- **Slice 1 commit (2026-02-09):** `rkuwmrtq` / `229404b5` — "slice1: implement typed call with SignatureSchema and CallOutcome". +- **Slice 2 plan review (2026-02-09):** Draft plan needs refinery arbitration on augmentation trait signatures, wrapper mutability contract (`Deref` vs `DerefMut`), and ChainOfThought public constructor ergonomics to match breadboard U13 and S3/S7 decisions. +- **Slice 2 arbitration (2026-02-09):** Resolved `ChainOfThought` API to provide `new()` (U13) plus delegated full builder DSL (`demos`/`instruction`/`tools`) via `ChainOfThoughtBuilder`, and locked augmentation wrappers to `Deref`-only (no `DerefMut`) per S3. +- **Slice 2 implementation (2026-02-09):** `WithReasoning` now derives `facet::Facet` directly and implements `BamlSchema` manually (instead of `#[BamlType]`) to avoid HRTB conflicts in the macro expansion while preserving `BamlType` via blanket impl. +- **Slice 2 implementation (2026-02-09):** Adapter formatting uses relaxed path lookup to handle `#[facet(flatten)]` outputs whose BamlValue serialization flattens fields while parsing still expects nested paths. +- **Slice 2 smoke test (2026-02-09):** Real LM calls passed end-to-end against `openai:gpt-5.2` via named examples: `cargo run -p dspy-rs --example 90-smoke-slice1-typed-predict` (`answer = smoke-ok`) and `cargo run -p dspy-rs --example 91-smoke-slice2-chain-of-thought` (`answer = smoke-ok`, reasoning populated). +- **Slice 2 arbitrate (2026-02-09):** Accepted finding on legacy optimizer visibility and fixed by exposing `predictor` through `ChainOfThought::parameters()`. Re-ran Slice 2 smoke test after fix; still passes (`answer = smoke-ok`). +- **Slice 2 arbitrate (2026-02-09):** Deferred review findings on `Facet` derivation and typed `Module::forward` as cross-slice architectural alignment work; current Slice 2 deliverable remains consistent with the existing `Module` trait contract introduced in Slice 1. ## Stumbling Blocks @@ -40,8 +55,11 @@ - Initial research draft mixed Slice 1 scope with Slice 2/5 artifacts (augmentation and DynPredictor migration). Corrected to keep Slice 1 deliverables focused on V1 call path while preserving cross-slice constraints. - Implementation subagent introduced unexpected edits outside assigned ownership (`optimizer/gepa.rs`, `optimizer/mipro.rs`) while attempting to satisfy compile ripple effects from `Module` return type changes. - `cargo check -p dspy-rs -p dsrs_macros` and both test suites now pass, but `cargo check -p dspy-rs --examples` still fails because examples have not yet been migrated to the new `Module::forward` / `CallOutcome` interfaces. +- Slice 2 planning subagent produced no deliverable (`slice_2.md` missing) and had to be replaced. +- Slice 2 adversarial review subagent took longer than expected; waited through multiple polls before completion. ## Open Questions - If nightly `try_trait_v2` introduces instability during implementation, decide whether to keep `Try` behind cfg while preserving `into_result()` as non-divergent baseline. - Whether Slice 1 should include an explicit follow-up example migration pass (`--examples` currently failing on old `Result`-based module signatures and removed `call_with_meta` usage). +- Aligning `ChainOfThought` with eventual F6/F10 Facet-walker discovery and the typed module trait story from `design_reference.md` is still open and should be re-evaluated in the slice that introduces the new walker/typed module boundary. From 9202d5efc51b3b3acae6d5d468bb8ba14b4cade2 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 01:45:53 -0800 Subject: [PATCH 03/22] some doc updates --- docs/specs/modules/breadboard.md | 17 +- docs/specs/modules/design_reference.md | 45 +- .../00_overview.md | 72 +++ .../01_module_system.md | 421 +++++++++++++ .../02_signatures.md | 440 ++++++++++++++ .../03_predict.md | 341 +++++++++++ .../04_augmentation_patterns.md | 436 +++++++++++++ .../05_adapters.md | 575 ++++++++++++++++++ .../06_optimizers.md | 417 +++++++++++++ .../07_rust_implications.md | 315 ++++++++++ docs/specs/modules/shapes.md | 2 +- 11 files changed, 3056 insertions(+), 25 deletions(-) create mode 100644 docs/specs/modules/dspy_module_system_reference/00_overview.md create mode 100644 docs/specs/modules/dspy_module_system_reference/01_module_system.md create mode 100644 docs/specs/modules/dspy_module_system_reference/02_signatures.md create mode 100644 docs/specs/modules/dspy_module_system_reference/03_predict.md create mode 100644 docs/specs/modules/dspy_module_system_reference/04_augmentation_patterns.md create mode 100644 docs/specs/modules/dspy_module_system_reference/05_adapters.md create mode 100644 docs/specs/modules/dspy_module_system_reference/06_optimizers.md create mode 100644 docs/specs/modules/dspy_module_system_reference/07_rust_implications.md diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index 2211eeaf..bcb535af 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -48,22 +48,21 @@ This breadboard applies the standard methodology to a **Rust library**, not a we **Resolved gaps:** - ~~No LM configuration affordance~~ → **Global default with scoped override.** LM is globally scoped (existing `GLOBAL_SETTINGS` infrastructure). `dsrs::with_lm(eval_lm, || ...)` overrides per-call via scoped context. N8 checks scoped context first, falls back to global default. Global LM configuration is existing infrastructure, not breadboarded (see External dependencies). -- ~~No batching affordance~~ → **Standalone utility, not a trait method.** `dsrs::forward_all(&module, inputs, concurrency)` → `Vec>` (Vec-of-Results, not Result-of-Vec — individual failures don't abort batch). Module trait stays minimal (one method: `forward`). Rationale: a default `forward_batch` on Module forces P2 authors to reason about concurrency composition — BestOfN already runs N concurrent calls per invocation, so default batching would produce `batch_size × N` concurrent LM requests. Standalone utility keeps this concern at P1. See U48. +- ~~No batching affordance~~ → **Standalone utility, not a trait method.** `dsrs::forward_all(&module, inputs, concurrency)` → `Vec>` (Vec-of-Outcomes, not Result-of-Vec — individual failures don't abort batch). Module trait stays minimal (one method: `forward`). Rationale: a default `forward_batch` on Module forces P2 authors to reason about concurrency composition — BestOfN already runs N concurrent calls per invocation, so default batching would produce `batch_size × N` concurrent LM requests. Standalone utility keeps this concern at P1. See U48. - ~~Error paths underspecified~~ → `PredictError` carries raw LM response + failed field + stage + coercion detail. Error `Display` includes full LM response for iterative debugging. No separate debug API needed for V1. See U49. - ~~Container traversal silently fails~~ → N18 errors on containers with `dsrs::parameter` inner types. See architectural invariant above. - ~~Strategy swap blast radius understated~~ → Updated U16 to note output type change. - ~~N12/N13 status~~ → **Keep N13, collapse N12 into N8.** N12 (jsonish coerce) is part of the "text → BamlValue" pipeline inside N8. N13 (try_from_baml_value) is a distinct error boundary: "BamlValue → typed output." Two affordances, two error semantics (N8 failures = coercion/parsing, N13 failures = type mismatch). - ~~Missing P1→P3 handoff~~ → Added U50 (`optimizer.compile(&mut module, trainset, metric)`). Exclusive `&mut` during optimization = no concurrent `forward()`. - ~~P1→P2 cliff too sharp~~ → **Module combinators as P1 ramp.** Without combinators, a P1 user who wants to post-process output (e.g., derive a confidence score from reasoning) must jump to full `impl Module` — learning associated types, async plumbing, and the Module trait. With `.map()` / `.and_then()`, they write a closure. Added U51 (module combinators). This is the intermediate step between "use a library module" and "author your own module." +- ~~CallOutcome undecided~~ → **Locked for V1.** N8 returns `CallOutcome` by default (single calling convention). `call_with_meta` is folded into `call`. No parallel convenience API (`forward_result`, etc.). Metadata and result travel together. **N-affordance principle:** Keep **orchestration boundaries** (N3, N8, N17, N18, N25/N26) and **error/decision boundaries** (N13, N22, N23, N24). Collapse pure pipes/transforms into their parent. Test: "can you change the implementation without changing any wiring?" If yes, it's guts, not an affordance. **Open (from late-stage team conversation):** - ⚠️ **P1→P2 cliff / Module combinators:** Resolved — see U51 (`.map()`, `.and_then()`) and boundary note on P1→P2. **Remaining question:** Module combinators must be Facet-transparent for the F6 walker (N18) to see through them. `Map` needs a manual Facet impl exposing `inner: M` as a field (closures are opaque to Facet derive). This is an architectural invariant on all future combinators: they must expose inner modules as struct fields, not trait objects. -- ⚠️ **CallOutcome as V1 return type:** Systems-thinker and adversarial-user converged on: `CallOutcome` (carrying both `Result` and metadata like token_usage, latency) should be the V1 return type for N8, not deferred. Argument: N8's return type is a chokepoint — changing it later ripples through N13, U10, U37, and every `impl Module`. One breaking change now vs two later. Type refinement on existing wires (same topology, richer payload). Waiting on concrete ergonomics analysis: does wrapping `Result` in `CallOutcome` break `?` operator flow for P1? **Deferred (acknowledged, out of scope for V1):** -- ⚠️ **Observability / N8 return type chokepoint:** N8 currently has no wire for "what happened during the call" — only "what was the result." Token tracking, prompt logging, cost require N8 to emit metadata via either a richer return type (`CallOutcome` carrying both result and metadata) or a parallel tracing/spans channel. **Chokepoint risk:** N8's return type ripples through N13, U10, U37, and every `impl Module`. Changing it post-V1 is a breaking change. Consider whether `CallOutcome` should be the V1 return type to avoid a painful migration later. Waiting on concrete ergonomics analysis (does it break `?` operator for P1?). **Note:** CallOutcome is a *type refinement* on existing wires, not a topology change — same wires, richer payload. No new N-affordances or wiring needed. The breadboard structure is unchanged either way; this is a design-reference-level decision. - ⚠️ **Operational policy (retries, timeouts, rate limits):** Per-call execution policy — combinators around `forward()`. P1 affordances that wire to U9. No new stores, no new coupling. Easy to add, no architectural impact. - ⚠️ **Container traversal (Vec, Option, HashMap, Box):** Walker errors on containers with `dsrs::parameter` inner types (N18). Full traversal deferred — tracked in S5. @@ -82,13 +81,13 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **U7** | P1 | `predict` | `Predict::::builder().demo(...).instruction(...).build()` | construct | → S2, → S3, → S4 | — | F5 | | **U8** | P1 | `predict` | `Demo { input: ..., output: ... }` | construct | → U7 | — | F5 | | **U9** | P1 | `module` | `module.forward(input).await` | call | → N3 | → U10 | F4 | -| **U10** | P1 | `module` | `Result` | access | → U5 (Ok) | ← N8 | F4 | +| **U10** | P1 | `module` | `CallOutcome` (single return surface; carries `Result` + metadata) | access | → U5 (Ok) | ← N8 | F4 | | **U11** | P1 | — | `result.answer` — direct field access | access | — | ← U5 | F1 | | **U12** | P1 | — | `result.reasoning` — Deref to augmented field | access | — | ← U5 | F3 | | **U13** | P1 | `library` | `ChainOfThought::::new()` | construct | → S2 (internal predict) | — | F11 | | **U14** | P1 | `library` | `ReAct::::builder().tool("name", "desc", fn).build()` | construct | → S2, → S4 | — | F11 | | **U16** | P1 | — | Strategy swap: change type annotation (e.g. `Predict` → `ChainOfThought`). **Note:** output type also changes (`QAOutput` → `WithReasoning`), breaking explicit type annotations and downstream function signatures. Compiler catches all breakage. | compile | — | — | F4 | -| **U48** | P1 | `module` | `dsrs::forward_all(&module, inputs, concurrency).await` — standalone utility. Returns `Vec>`. Individual failures don't abort batch. Module trait stays minimal (one method). | call | → N8 (×N) | → Vec\ | F4 | +| **U48** | P1 | `module` | `dsrs::forward_all(&module, inputs, concurrency).await` — standalone utility. Returns `Vec>`. Individual failures don't abort batch. Module trait stays minimal (one method). | call | → N8 (×N) | → Vec\ | F4 | | **U50** | P1 | `optimizer` | `optimizer.compile(&mut module, trainset, metric).await` — hands module to optimizer. Exclusive `&mut` = no concurrent forward() during optimization. This is the P1→P3 entry point. | call | → U30 (P3 entry) | → &mut module (optimized in place) | F6, F8 | | **U51** | P1 | `module` | `module.map(\|output\| transform(output))` — output transformation combinator. Constructs `Map` wrapping the original module. Also `.and_then()` for fallible transforms. P1 ramp to avoid `impl Module` for simple post-processing (e.g., derive confidence from reasoning). Map/AndThen must have manual Facet impls exposing `inner` field for N18 walker traversal. | construct | — | → Module\ | F4 | | **U49** | P1 | `module` | `PredictError` variants — `Provider { source }` (retry-worthy: network, timeout, rate limit), `Parse { raw_response, field, stage, detail }` (prompt-engineering problem). `stage` distinguishes substages within N8: `SectionParsing` (missing `[[ ## field ## ]]` markers), `Coercion` (jsonish can't parse field value), `PathAssembly` (nested structure mismatch). N13 failures use stage `TypeConversion` (BamlValue→typed output mismatch). Error Display includes full LM response text. | access | — | ← N8, ← N13 | F5, F7 | @@ -135,7 +134,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **N1** | P1 | `signature` (macro) | Proc macro expansion — generates `QAInput`, `QAOutput` structs + `impl Signature` | compile | → U4, → U5 | — | F1 | | **N2** | P1 | `signature` (macro) | Extract doc comment → `fn instructions() -> &'static str` | compile | — | → N8 | F1 | | **N3** | P1 | `schema` | `SignatureSchema::of::()` — TypeId-keyed cached derivation. Internally: walk_fields (Facet shape walk, flatten-aware), build_type_ir (TypeIR from Shape), build_output_format (OutputFormatContent). Pure pipes collapsed — swapping internals changes no wiring. | cache | → S1 | → N8, → U23–U26 | F2 | -| **N8** | P1 | `adapter` | Predict call pipeline: build_system → format_demos → format_input → lm.call → parse_sections → jsonish coerce → path assembly. Internally uses format_value, navigate_path, insert_at_path, jsonish::from_str (all collapsed — pure pipes). **Error boundary for coercion:** produces `PredictError::Parse` with raw content + field name + coercion detail when LM output doesn't parse. LM resolution: scoped context (`dsrs::with_lm`) > global default (`GLOBAL_SETTINGS`). | call | → N3, → S2 (read demos), → N13, → LM | → U10, → U49 (on error) | F5, F7 | +| **N8** | P1 | `adapter` | Predict call pipeline: build_system → format_demos → format_input → lm.call → parse_sections → jsonish coerce → path assembly. Internally uses format_value, navigate_path, insert_at_path, jsonish::from_str (all collapsed — pure pipes). **Error boundary for coercion:** produces `PredictError::Parse` with raw content + field name + coercion detail when LM output doesn't parse. LM resolution: scoped context (`dsrs::with_lm`) > global default (`GLOBAL_SETTINGS`). Returns `CallOutcome` (result + metadata) as the single call surface. | call | → N3, → S2 (read demos), → N13, → LM | → U10, → U49 (on error) | F5, F7 | | **N13** | P1 | `adapter` | `O::try_from_baml_value()` — BamlValue → typed output. **Error boundary:** rejects structurally invalid BamlValue (constraint violations, missing fields). Distinct from N8 coercion errors: N8 = "couldn't understand LM text", N13 = "understood it but doesn't match expected type." | compute | — | → U10 | F7 | | | | | | | | | | | **N14** | P2 | `augmentation` (macro) | Augmentation proc macro — generates `WithX` + `Deref` + `impl Augmentation`. Includes tuple composition: `impl Augmentation for (A, B)` provides `(A, B)::Wrap = A::Wrap>` via GATs (type-level only, no code generation — collapsed from former N16). | compile | → U20 | — | F3 | @@ -189,13 +188,13 @@ U9 (module.forward(input)) → LM provider (external call) → parse sections, jsonish coerce, path assembly (all internal to N8) → N13 (try_from_baml_value — error boundary: BamlValue → typed output) - → U10 (Result) + → U10 (CallOutcome) → on error: U49 (PredictError with raw response + stage) U10 → U5 (typed output) → U11 (result.answer) or U12 (result.reasoning via Deref) U48 (dsrs::forward_all(&module, inputs, concurrency)) - → N8 (×N, buffer_unordered) → Vec> + → N8 (×N, buffer_unordered) → Vec> Individual failures don't abort the batch. U51 (module.map(|output| transform(output))) @@ -340,7 +339,7 @@ V5 (optimizer) depends on V2 (needs augmented modules to test multi-level discov | U1, U2, U3 | Signature derive + markers + doc comment | Entry point | | U4, U5 | Generated QAInput / QAOutput types | Compile-time output | | U6, U7, U8 | Predict construction + builder + Demo | Module setup | -| U9, U10, U11 | forward(), Result, field access | Call and result | +| U9, U10, U11 | forward(), CallOutcome, field access | Call and result | | U49 | PredictError variants | Error path | | N1, N2 | Proc macro expansion, doc extraction | Compile-time mechanisms | | N3 | SignatureSchema derivation | Schema cache | diff --git a/docs/specs/modules/design_reference.md b/docs/specs/modules/design_reference.md index 107ca79c..c8d59643 100644 --- a/docs/specs/modules/design_reference.md +++ b/docs/specs/modules/design_reference.md @@ -364,10 +364,12 @@ pub trait Module: Send + Sync { type Input: BamlType + Facet + Send + Sync; type Output: BamlType + Facet + Send + Sync; - async fn forward(&self, input: Self::Input) -> Result; + async fn forward(&self, input: Self::Input) -> CallOutcome; } ``` +`CallOutcome` is the default return surface for N8. It carries both outcome (`Result`) and call metadata (raw response, usage, tool calls, field parse metadata). There is no separate convenience API (for example `forward_result()`); ergonomics come from trait impls on `CallOutcome` itself (`Try` when available on toolchain, otherwise at least `Deref>` + `into_result()`). + Every prompting strategy implements this. The associated types make composition type-safe: ```rust @@ -437,7 +439,7 @@ let predict = Predict::::builder() ```rust impl Predict { - pub async fn call(&self, input: S::Input) -> Result { + pub async fn call(&self, input: S::Input) -> CallOutcome { let schema = SignatureSchema::of::(); // F2: Facet-derived, cached let lm = get_global_lm(); let adapter = ChatAdapter; @@ -459,12 +461,21 @@ impl Predict { chat.push_message(Message::user(user)); // Call LM - let response = lm.call(chat, self.tools.clone()).await?; + let response = match lm.call(chat, self.tools.clone()).await { + Ok(response) => response, + Err(err) => return CallOutcome::from_error(PredictError::Lm { source: err }), + }; // Parse response - let output = adapter.parse_output::(schema, &response)?; - - Ok(output) + let output = adapter.parse_output::(schema, &response); + + CallOutcome::from_parts( + output, + response.output.content().to_string(), + response.usage.clone(), + response.tool_calls, + response.tool_executions, + ) } } ``` @@ -685,7 +696,7 @@ pub trait DynPredictor: Send + Sync { fn load_state(&mut self, state: PredictState) -> Result<()>; /// Untyped forward (for dynamic graph execution) - async fn forward_untyped(&self, input: BamlValue) -> Result; + async fn forward_untyped(&self, input: BamlValue) -> CallOutcome; } ``` @@ -714,10 +725,14 @@ where S::Input: BamlType, S::Output: BamlType Ok(()) } - async fn forward_untyped(&self, input: BamlValue) -> Result { - let typed_input = S::Input::try_from_baml_value(input)?; - let output = self.call(typed_input).await?; - Ok(output.to_baml_value()) + async fn forward_untyped(&self, input: BamlValue) -> CallOutcome { + let typed_input = match S::Input::try_from_baml_value(input) { + Ok(v) => v, + Err(err) => return CallOutcome::from_error(PredictError::Conversion { source: err.into() }), + }; + self.call(typed_input) + .await + .map(|output| output.to_baml_value()) // map/into_result helper on CallOutcome } } ``` @@ -863,7 +878,7 @@ impl Module for ChainOfThought { type Input = S::Input; type Output = WithReasoning; - async fn forward(&self, input: S::Input) -> Result, PredictError> { + async fn forward(&self, input: S::Input) -> CallOutcome> { self.predict.call(input).await } } @@ -887,16 +902,16 @@ where M::Input: Clone type Input = M::Input; type Output = M::Output; - async fn forward(&self, input: M::Input) -> Result { + async fn forward(&self, input: M::Input) -> CallOutcome { let mut best = None; let mut best_score = f64::NEG_INFINITY; for _ in 0..self.n { let output = self.module.forward(input.clone()).await?; let score = (self.reward_fn)(&input, &output); - if score >= self.threshold { return Ok(output); } + if score >= self.threshold { return CallOutcome::ok(output); } if score > best_score { best_score = score; best = Some(output); } } - best.ok_or(PredictError::AllAttemptsFailed) + CallOutcome::from_error(PredictError::AllAttemptsFailed) } } ``` diff --git a/docs/specs/modules/dspy_module_system_reference/00_overview.md b/docs/specs/modules/dspy_module_system_reference/00_overview.md new file mode 100644 index 00000000..8a9b96a6 --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/00_overview.md @@ -0,0 +1,72 @@ +# DSPy Module System: Complete Architecture Reference + +> Written for the oxide Rust rewrite. Self-contained -- no DSPy source access required. + +## What DSPy Is (In One Paragraph) + +DSPy is a framework for programming with language models where you declare *what* you want (via typed signatures), not *how* to prompt. The framework handles prompt construction, output parsing, and -- critically -- automatic optimization of prompts and few-shot examples. The module system is the backbone that makes all of this possible. + +## The Core Insight + +Everything in DSPy is built on a single primitive: **`Predict`**. A `Predict` takes a typed signature (input fields -> output fields), formats it into a prompt via an adapter, calls an LM, and parses the response back into typed outputs. Every higher-level module (ChainOfThought, ReAct, ProgramOfThought) is just orchestration on top of one or more `Predict` instances. + +Optimizers work by discovering all `Predict` instances in a module tree, then modifying their **demos** (few-shot examples) and **signature instructions** (the task description). This is the entire optimization surface. + +## Architecture Diagram + +``` +User Program (a Module subclass) + | + |-- Module.__call__() + | |-- callbacks, usage tracking, caller stack + | |-- self.forward(**kwargs) + | + |-- Contains Predict instances (the leaf parameters) + | |-- Each Predict has: + | | signature (Signature class -- typed I/O contract) + | | demos (list[Example] -- few-shot examples) + | | lm (optional per-predictor LM override) + | | config (LM kwargs: temperature, n, etc.) + | | + | |-- Predict.forward(): + | | 1. _forward_preprocess: resolve LM, merge config, get demos + | | 2. adapter(lm, signature, demos, inputs) + | | 3. _forward_postprocess: build Prediction, append to trace + | | + | |-- Adapter pipeline: + | format(signature, demos, inputs) -> messages + | lm(messages, **kwargs) -> completions + | parse(signature, completion) -> dict of output fields + | + |-- named_parameters() walks the tree, finds all Predict instances + |-- Optimizers modify demos/instructions on discovered Predicts + |-- save()/load() serializes the optimized state +``` + +## Document Index + +| Document | What It Covers | +|----------|---------------| +| [01_module_system.md](01_module_system.md) | `BaseModule`, `Module`, `Parameter` -- the tree structure, traversal, serialization, copy mechanics, the `_compiled` freeze flag | +| [02_signatures.md](02_signatures.md) | `Signature`, `SignatureMeta`, `InputField`/`OutputField` -- DSPy's type system, string parsing, Pydantic integration, manipulation methods | +| [03_predict.md](03_predict.md) | `Predict` -- the foundation primitive, forward pipeline, preprocessing, tracing, state management | +| [04_augmentation_patterns.md](04_augmentation_patterns.md) | How ChainOfThought, ReAct, ProgramOfThought, MultiChainComparison, BestOfN, Refine build on Predict | +| [05_adapters.md](05_adapters.md) | Adapter base class, ChatAdapter, JSONAdapter -- how signatures become prompts and responses become Predictions | +| [06_optimizers.md](06_optimizers.md) | How optimizers discover modules, what they modify, BootstrapFewShot, MIPRO, COPRO, BootstrapFinetune, the compile() contract, tracing | +| [07_rust_implications.md](07_rust_implications.md) | What all of this means for a Rust implementation -- trait design, type-state patterns, the hard problems | + +## Key Terminology + +| Term | Meaning | +|------|---------| +| **Module** | A composable unit of computation. Has `__call__` -> `forward()`. Can contain other Modules. | +| **Parameter** | Marker trait. Only `Predict` implements it. Makes a module discoverable by optimizers. | +| **Predict** | The leaf parameter. Holds a signature, demos, and LM config. Calls adapter -> LM -> parse. | +| **Signature** | A typed contract: named input fields -> named output fields, with instructions. Implemented as a Pydantic BaseModel *class* (not instance). | +| **Adapter** | Converts (signature, demos, inputs) -> LM messages and parses responses back. ChatAdapter uses `[[ ## field ## ]]` delimiters. | +| **Demo** | A few-shot example (an `Example` dict with input+output field values). Stored on `Predict.demos`. | +| **Trace** | A list of `(predictor, inputs, prediction)` tuples recorded during execution. Used by optimizers to attribute outputs to predictors. | +| **Compiled** | `module._compiled = True` means optimizers won't recurse into it. Freezes the optimized state. | +| **Teleprompter** | DSPy's name for an optimizer. `compile(student, trainset)` returns an optimized copy. | +| **Example** | Dict-like data container with `.inputs()` / `.labels()` separation. Training data and demos are Examples. | +| **Prediction** | Subclass of Example returned by all modules. Carries completions and LM usage info. | diff --git a/docs/specs/modules/dspy_module_system_reference/01_module_system.md b/docs/specs/modules/dspy_module_system_reference/01_module_system.md new file mode 100644 index 00000000..382c4e70 --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/01_module_system.md @@ -0,0 +1,421 @@ +# The Module System: BaseModule, Module, Parameter + +## Three Layers + +The module system has three layers, each adding capabilities: + +1. **`Parameter`** (`dspy/predict/parameter.py`) -- Empty marker class. Makes things discoverable by optimizers. +2. **`BaseModule`** (`dspy/primitives/base_module.py`) -- Tree traversal, serialization, copy mechanics. +3. **`Module`** (`dspy/primitives/module.py`) -- The `__call__` -> `forward()` protocol, callbacks, metaclass magic. + +`Predict` inherits from both `Module` and `Parameter`, making it both callable and optimizable. + +--- + +## 1. Parameter: The Marker + +```python +# dspy/predict/parameter.py +class Parameter: + pass +``` + +That's the entire class. No methods, no state. It exists so `isinstance(obj, Parameter)` can distinguish "things optimizers can tune" from "things that are just structural." In the current codebase, `Predict` is the *only* class that inherits from `Parameter`. + +**Why this matters**: When `BaseModule.named_parameters()` walks the object graph, it collects everything that passes `isinstance(value, Parameter)`. Since only `Predict` does, optimizers only ever see `Predict` instances. Higher-level modules (ChainOfThought, ReAct) are invisible to optimizers -- they're just containers that *hold* Predict instances. + +--- + +## 2. BaseModule: The Tree + +`BaseModule` provides the infrastructure for treating a module hierarchy as a traversable tree. + +### 2.1 `named_parameters()` -- DFS Parameter Discovery + +This is the most important method in the entire module system. Every optimizer calls it. + +```python +def named_parameters(self): + """ + DFS walk of self.__dict__. Finds all Parameter instances (i.e., Predict objects). + Returns list of (dotted_path_string, Parameter_instance) tuples. + + Rules: + - If self is a Parameter, includes ("self", self) + - Parameter instances in __dict__ -> added directly + - Module instances in __dict__ -> recurse (unless _compiled=True) + - Lists/tuples -> iterate with indexed names: "name[0]", "name[1]" + - Dicts -> iterate with keyed names: "name['key']" + - Tracks visited set by id() to handle diamond DAGs (same object reachable via multiple paths) + """ + import dspy + from dspy.predict.parameter import Parameter + + visited = set() + named_parameters = [] + + def add_parameter(param_name, param_value): + if isinstance(param_value, Parameter): + if id(param_value) not in visited: + visited.add(id(param_value)) + named_parameters.append((param_name, param_value)) + elif isinstance(param_value, dspy.Module): + # CRITICAL: _compiled modules are FROZEN -- we don't recurse into them. + # This is how pre-optimized sub-modules keep their state. + if not getattr(param_value, "_compiled", False): + for sub_name, param in param_value.named_parameters(): + add_parameter(f"{param_name}.{sub_name}", param) + + if isinstance(self, Parameter): + add_parameter("self", self) + + for name, value in self.__dict__.items(): + if isinstance(value, Parameter): + add_parameter(name, value) + elif isinstance(value, dspy.Module): + if not getattr(value, "_compiled", False): + for sub_name, param in value.named_parameters(): + add_parameter(f"{name}.{sub_name}", param) + elif isinstance(value, (list, tuple)): + for idx, item in enumerate(value): + add_parameter(f"{name}[{idx}]", item) + elif isinstance(value, dict): + for key, item in value.items(): + add_parameter(f"{name}['{key}']", item) + + return named_parameters +``` + +**Example**: Given a module `MyProgram` with: +```python +class MyProgram(dspy.Module): + def __init__(self): + self.cot = dspy.ChainOfThought("question -> answer") + self.summarize = dspy.Predict("text -> summary") +``` + +`named_parameters()` returns: +``` +[ + ("cot.predict", ), # ChainOfThought holds self.predict + ("summarize", ), # Predict IS a Parameter +] +``` + +The dotted path names are how optimizers map traces back to specific predictors and how `save()`/`load()` serialize state. + +### 2.2 `named_sub_modules()` -- BFS Module Discovery + +```python +def named_sub_modules(self, type_=None, skip_compiled=False): + """ + BFS traversal of ALL BaseModule instances in the tree. + Different from named_parameters: + - BFS not DFS + - Returns ALL modules, not just Parameters + - Optional type filter and compiled-skip flag + """ + if type_ is None: + type_ = BaseModule + + queue = deque([("self", self)]) + seen = {id(self)} + + def add_to_queue(name, item): + if id(item) not in seen: + seen.add(id(item)) + queue.append((name, item)) + + while queue: + name, item = queue.popleft() + if isinstance(item, type_): + yield name, item + if isinstance(item, BaseModule): + if skip_compiled and getattr(item, "_compiled", False): + continue + for sub_name, sub_item in item.__dict__.items(): + add_to_queue(f"{name}.{sub_name}", sub_item) + elif isinstance(item, (list, tuple)): + for i, sub_item in enumerate(item): + add_to_queue(f"{name}[{i}]", sub_item) + elif isinstance(item, dict): + for key, sub_item in item.items(): + add_to_queue(f"{name}[{key}]", sub_item) +``` + +### 2.3 `deepcopy()` -- Safe Deep Copying + +```python +def deepcopy(self): + """ + Strategy: + 1. Try copy.deepcopy(self) -- works if all attributes are picklable + 2. If that fails, manual fallback: + - Create empty instance via __new__ (no __init__) + - For each attr in __dict__: + - BaseModule -> recursive deepcopy() + - Other -> try deepcopy, fallback copy.copy, fallback reference + """ + try: + return copy.deepcopy(self) + except Exception: + pass + + new_instance = self.__class__.__new__(self.__class__) + for attr, value in self.__dict__.items(): + if isinstance(value, BaseModule): + setattr(new_instance, attr, value.deepcopy()) + else: + try: + setattr(new_instance, attr, copy.deepcopy(value)) + except Exception: + try: + setattr(new_instance, attr, copy.copy(value)) + except Exception: + setattr(new_instance, attr, value) + return new_instance +``` + +**Why the fallback matters**: Some modules hold references to non-picklable objects (LM connections, thread pools). The manual fallback ensures the module tree is still copyable even when `copy.deepcopy` chokes. + +### 2.4 `reset_copy()` -- Fresh Copy for Optimization + +```python +def reset_copy(self): + """Deep copy, then reset() every parameter. + Creates a fresh copy with architecture intact but all learned state cleared. + Used by optimizers to create candidate programs.""" + new_instance = self.deepcopy() + for param in new_instance.parameters(): + param.reset() + return new_instance +``` + +`param.reset()` on a Predict clears `self.lm`, `self.traces`, `self.train`, and `self.demos`. The architecture (signature, config) is preserved; the learned state is wiped. + +### 2.5 `dump_state()` / `load_state()` -- Serialization + +```python +def dump_state(self, json_mode=True): + """Serializes every parameter: {dotted_path: param.dump_state()}""" + return {name: param.dump_state(json_mode=json_mode) + for name, param in self.named_parameters()} + +def load_state(self, state): + """Deserializes: walks named_parameters(), calls each param.load_state()""" + for name, param in self.named_parameters(): + param.load_state(state[name]) +``` + +For a Predict, `dump_state()` serializes: +- `traces` (execution traces) +- `train` (training examples) +- `demos` (few-shot examples, serialized via `serialize_object` for JSON safety) +- `signature` state (instructions + field prefixes/descriptions) +- `lm` state (model config) or None + +### 2.6 `save()` / `load()` -- File I/O + +Two modes: + +**State-only (default)**: Saves just the optimized state (demos, instructions, etc.) to `.json` or `.pkl`. +```python +def save(self, path, save_program=False): + # state = self.dump_state() + metadata (python/dspy/cloudpickle versions) + # Write to JSON or pickle based on file extension +``` + +**Full program** (`save_program=True`): Uses `cloudpickle` to serialize the entire module object (architecture + state) to a directory containing `program.pkl` + `metadata.json`. + +`load()` reads state and calls `self.load_state(state)`. Note: this loads state *into* an existing module. For loading a whole program from pickle, there's a separate `dspy.load()` function. + +--- + +## 3. Module: The Call Protocol + +`Module` extends `BaseModule` with the call/forward protocol, a metaclass that ensures safe initialization, and convenience methods. + +### 3.1 `ProgramMeta` -- The Metaclass + +```python +class ProgramMeta(type): + """Ensures _base_init runs BEFORE __init__, even if subclass forgets super().__init__(). + + When you do MyModule(args): + 1. __new__ creates the instance (no __init__ yet) + 2. Module._base_init(obj) -- sets _compiled, callbacks, history + 3. cls.__init__(obj, args) -- the user's actual __init__ + 4. Safety: ensures callbacks and history exist even if __init__ didn't set them + """ + def __call__(cls, *args, **kwargs): + obj = cls.__new__(cls, *args, **kwargs) + if isinstance(obj, cls): + Module._base_init(obj) + cls.__init__(obj, *args, **kwargs) + if not hasattr(obj, "callbacks"): + obj.callbacks = [] + if not hasattr(obj, "history"): + obj.history = [] + return obj +``` + +**Why this exists**: If a user writes `class MyModule(dspy.Module)` and forgets `super().__init__()`, the module would lack `_compiled`, `callbacks`, and `history`. The metaclass guarantees these always exist. + +### 3.2 Module Attributes + +```python +class Module(BaseModule, metaclass=ProgramMeta): + def _base_init(self): + self._compiled = False # Has this module been optimized? + self.callbacks = [] # List of BaseCallback instances + self.history = [] # LM call history + + def __init__(self, callbacks=None): + self.callbacks = callbacks or [] + self._compiled = False + self.history = [] +``` + +### 3.3 `__call__()` -- The Central Dispatch + +```python +@with_callbacks # Wraps with on_module_start / on_module_end callbacks +def __call__(self, *args, **kwargs): + """ + 1. Get caller_modules stack from settings (tracks nested module calls) + 2. Append self to the stack + 3. In a settings.context with updated caller_modules: + a. If usage tracking enabled and no tracker yet, create one + b. Call self.forward(*args, **kwargs) + c. If tracking, attach token usage to the Prediction + 4. Return the Prediction + """ + caller_modules = settings.caller_modules or [] + caller_modules = list(caller_modules) + caller_modules.append(self) + + with settings.context(caller_modules=caller_modules): + if settings.track_usage and no_tracker_yet: + with track_usage() as usage_tracker: + output = self.forward(*args, **kwargs) + tokens = usage_tracker.get_total_tokens() + self._set_lm_usage(tokens, output) + return output + return self.forward(*args, **kwargs) +``` + +**`__call__` vs `forward()`**: `__call__` is the public entry point. It handles callbacks, usage tracking, and the module call stack. `forward()` is the actual logic that subclasses override. There is a `__getattribute__` override that **warns** if you call `.forward()` directly (it inspects the call stack): + +```python +def __getattribute__(self, name): + attr = super().__getattribute__(name) + if name == "forward" and callable(attr): + stack = inspect.stack() + forward_called_directly = len(stack) <= 1 or stack[1].function != "__call__" + if forward_called_directly: + logger.warning("Calling module.forward() directly is discouraged. Use module() instead.") + return attr +``` + +### 3.4 Pickle Support + +```python +def __getstate__(self): + """Excludes history and callbacks (transient state) from pickle""" + state = self.__dict__.copy() + state.pop("history", None) + state.pop("callbacks", None) + return state + +def __setstate__(self, state): + """Restores history and callbacks as empty on unpickle""" + self.__dict__.update(state) + if not hasattr(self, "history"): + self.history = [] + if not hasattr(self, "callbacks"): + self.callbacks = [] +``` + +### 3.5 Convenience Methods + +```python +def named_predictors(self): + """Filters named_parameters() to only Predict instances""" + from dspy.predict.predict import Predict + return [(name, param) for name, param in self.named_parameters() + if isinstance(param, Predict)] + +def predictors(self): + """Just the Predict objects, no names""" + return [param for _, param in self.named_predictors()] + +def set_lm(self, lm): + """Sets the LM on ALL predictors in the tree""" + for _, param in self.named_predictors(): + param.lm = lm + +def get_lm(self): + """Returns the LM if all predictors share one, raises if they differ""" + +def map_named_predictors(self, func): + """Applies func to each predictor and replaces it in the tree. + Uses magicattr.set for nested path assignment (handles dotted paths).""" + for name, predictor in self.named_predictors(): + set_attribute_by_name(self, name, func(predictor)) + return self +``` + +--- + +## 4. The `_compiled` Flag + +`_compiled` is a boolean that controls optimizer traversal: + +1. Initialized to `False` on every new Module (via `_base_init`) +2. Set to `True` by optimizers after compilation (e.g., `student._compiled = True`) +3. When `True`, `named_parameters()` **stops recursing** into this module -- its Predict instances are invisible to further optimization +4. This is how you compose pre-optimized modules: a compiled sub-module's demos and signature instructions won't be overwritten by a parent optimizer + +**Example**: +```python +# Pre-optimize a sub-module +optimized_qa = bootstrap.compile(qa_module, trainset=data) +# optimized_qa._compiled is now True + +# Use it in a larger program +class Pipeline(dspy.Module): + def __init__(self): + self.retrieve = dspy.Predict("query -> passages") + self.qa = optimized_qa # _compiled=True, frozen + +# When a parent optimizer runs on Pipeline: +# named_parameters() finds: [("retrieve", )] +# It does NOT find optimized_qa's internal Predict -- it's frozen. +``` + +--- + +## 5. The Full Hierarchy + +``` +BaseModule + |-- named_parameters() # DFS, finds Parameters (Predict instances) + |-- named_sub_modules() # BFS, finds all Modules + |-- deepcopy() / reset_copy() # Safe copying + |-- dump_state() / load_state() / save() / load() # Serialization + | + +-- Module (metaclass=ProgramMeta) + |-- __call__() -> forward() # The call protocol + |-- callbacks, history # Transient state + |-- _compiled # Freeze flag + |-- named_predictors() # Convenience filter + |-- set_lm() / get_lm() # LM management + | + +-- Predict (also inherits Parameter) + |-- signature, demos, lm, config # Optimizable state + |-- forward() -> adapter -> LM -> parse -> Prediction + |-- traces, train # Optimization bookkeeping + |-- reset() # Clear learned state +``` + +**The dual inheritance of Predict is the key design decision**: It is both a `Module` (callable, composable, has forward()) and a `Parameter` (discoverable by optimizers). Everything else in the system follows from this. diff --git a/docs/specs/modules/dspy_module_system_reference/02_signatures.md b/docs/specs/modules/dspy_module_system_reference/02_signatures.md new file mode 100644 index 00000000..016b1eeb --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/02_signatures.md @@ -0,0 +1,440 @@ +# Signatures: DSPy's Type System + +## What a Signature Is + +A Signature is a **typed contract** between a module and an LM: named input fields -> named output fields, with instructions. It's the thing that makes DSPy declarative -- you say "question -> answer" and the framework handles prompt construction, output parsing, and type validation. + +**Critical implementation detail**: A Signature is a **class**, not an instance. When you write `dspy.Signature("question -> answer")`, you get back a new *type* (a dynamically-created Pydantic BaseModel subclass), not an object. Operations like `prepend`, `with_instructions`, `delete` all return *new classes*. This is metaclass-heavy Python. + +--- + +## 1. File Layout + +``` +dspy/signatures/ + signature.py -- Signature class, SignatureMeta metaclass, make_signature(), parsing + field.py -- InputField(), OutputField() factory functions + utils.py -- get_dspy_field_type() helper +``` + +--- + +## 2. InputField and OutputField + +These are **factory functions** (not classes) that return `pydantic.Field()` instances with DSPy metadata stuffed into `json_schema_extra`: + +```python +# dspy/signatures/field.py + +def InputField(**kwargs): + return pydantic.Field(**move_kwargs(**kwargs, __dspy_field_type="input")) + +def OutputField(**kwargs): + return pydantic.Field(**move_kwargs(**kwargs, __dspy_field_type="output")) +``` + +`move_kwargs` separates DSPy-specific arguments from Pydantic-native arguments: + +**DSPy-specific** (stored in `json_schema_extra`): +| Argument | Type | Purpose | +|----------|------|---------| +| `__dspy_field_type` | `"input"` or `"output"` | The discriminator -- how the system tells inputs from outputs | +| `desc` | `str` | Field description shown to the LM in the prompt | +| `prefix` | `str` | Prompt prefix for this field (e.g., `"Question:"`) | +| `format` | `callable` | Optional formatting function | +| `parser` | `callable` | Optional parsing function | +| `constraints` | `str` | Human-readable constraint strings | + +**Pydantic-native** (passed through to `pydantic.Field`): +| Argument | Purpose | +|----------|---------| +| `gt`, `ge`, `lt`, `le` | Numeric constraints | +| `min_length`, `max_length` | String/collection length | +| `default` | Default value | + +**Constraint translation**: Pydantic constraints are automatically converted to human-readable strings. `OutputField(ge=5, le=10)` generates `constraints="greater than or equal to: 5, less than or equal to: 10"` which gets included in the prompt so the LM knows the bounds. + +--- + +## 3. SignatureMeta: The Metaclass + +`SignatureMeta` extends `type(BaseModel)` (Pydantic's metaclass). It does three key things: + +### 3.1 `__call__` -- String Shorthand Interception + +```python +class SignatureMeta(type(BaseModel)): + def __call__(cls, *args, **kwargs): + # If called with a string like Signature("question -> answer"), + # route to make_signature() to create a new class (not instance) + if cls is Signature: + if len(args) == 1 and isinstance(args[0], (str, dict)): + return make_signature(args[0], kwargs.pop("instructions", None)) + # Otherwise, create an actual instance (rare in normal DSPy usage) + return super().__call__(*args, **kwargs) +``` + +This means `dspy.Signature("question -> answer")` returns a **new class**, not an instance. + +### 3.2 `__new__` -- Class Creation + +When a Signature class is being *defined* (either via `class QA(dspy.Signature)` or via `make_signature()`): + +```python +def __new__(mcs, signature_name, bases, namespace): + # 1. Set str as default type for fields without annotations + for name in namespace: + if name not in annotations: + annotations[name] = str + + # 2. Preserve field ordering: inputs before outputs + # (reorder annotations dict to match declaration order) + + # 3. Let Pydantic create the class + cls = super().__new__(mcs, signature_name, bases, namespace) + + # 4. Set default instructions if none given + if not cls.__doc__: + inputs = ", ".join(f"`{k}`" for k in cls.input_fields) + outputs = ", ".join(f"`{k}`" for k in cls.output_fields) + cls.__doc__ = f"Given the fields {inputs}, produce the fields {outputs}." + + # 5. Validate: every field must have InputField or OutputField + for name, field in cls.model_fields.items(): + if "__dspy_field_type" not in (field.json_schema_extra or {}): + raise TypeError(f"Field '{name}' must use InputField or OutputField") + + # 6. Auto-generate prefix and desc for fields that don't have them + for name, field in cls.model_fields.items(): + extra = field.json_schema_extra + if "prefix" not in extra: + extra["prefix"] = infer_prefix(name) # snake_case -> "Title Case:" + if "desc" not in extra: + extra["desc"] = f"${{{name}}}" # template placeholder +``` + +### 3.3 `infer_prefix()` -- Name to Prompt Prefix + +Converts field names to human-readable prefixes: +- `"question"` -> `"Question:"` +- `"some_attribute_name"` -> `"Some Attribute Name:"` +- `"HTMLParser"` -> `"HTML Parser:"` + +Uses regex to split on underscores and camelCase boundaries, then title-cases and joins. + +--- + +## 4. Two Ways to Define Signatures + +### Class-Based (Full Control) + +```python +class QA(dspy.Signature): + """Answer questions with short factoid answers.""" + + question: str = dspy.InputField() + answer: str = dspy.OutputField(desc="often between 1 and 5 words") +``` + +Here `QA` is a class. `QA.__doc__` becomes the instructions. Fields are declared as class attributes with type annotations and InputField/OutputField defaults. + +### String Shorthand (Quick) + +```python +sig = dspy.Signature("question -> answer") +sig = dspy.Signature("question: str, context: list[str] -> answer: str") +sig = dspy.Signature("question -> answer", "Answer the question.") +``` + +When `SignatureMeta.__call__` sees a string, it routes to `make_signature()`. + +### The String Parser + +The parser is clever -- it uses Python's **AST module**: + +```python +def _parse_field_string(field_string: str, names=None): + # Wraps the field string as function parameters and parses with ast + args = ast.parse(f"def f({field_string}): pass").body[0].args.args +``` + +This means field strings follow Python function parameter syntax: `question: str, context: list[int]` is valid because it would be valid as `def f(question: str, context: list[int]): pass`. + +**Type resolution** happens in `_parse_type_node()`, which recursively walks the AST: +- Simple: `int`, `str`, `float`, `bool` +- Generic: `list[int]`, `dict[str, float]`, `tuple[str, int]` +- Union: `Union[int, str]`, `Optional[str]`, PEP 604 `int | str` +- Nested: `dict[str, list[Optional[Tuple[int, str]]]]` +- Custom: looked up via a `names` dict or by walking the Python call stack + +**Custom type auto-detection** (`_detect_custom_types_from_caller`): When you write `Signature("input: MyType -> output")`, the metaclass walks up the call stack (up to 100 frames) looking in `f_locals` and `f_globals` for `MyType`. This is fragile but convenient. The reliable alternative is passing `custom_types={"MyType": MyType}`. + +### `make_signature()` -- The Factory + +```python +def make_signature(signature, instructions=None, signature_name="StringSignature"): + """ + Accepts either: + - A string: "question -> answer" (parsed into fields) + - A dict: {"question": InputField(), "answer": OutputField()} (used directly) + + Creates a new Signature class via pydantic.create_model(). + """ + if isinstance(signature, str): + fields = _parse_signature(signature) + else: + fields = signature # dict of {name: (type, FieldInfo)} + + # pydantic.create_model creates a new BaseModel subclass dynamically + model = pydantic.create_model( + signature_name, + __base__=Signature, + __doc__=instructions, + **fields, + ) + return model +``` + +--- + +## 5. Signature Properties (Class-Level) + +These are properties on the *metaclass*, meaning they're accessed on the class itself (not instances): + +```python +@property +def instructions(cls) -> str: + """The cleaned docstring. This is the task description shown to the LM.""" + return cls.__doc__ + +@property +def input_fields(cls) -> dict[str, FieldInfo]: + """Fields where __dspy_field_type == "input", in declaration order""" + return {k: v for k, v in cls.model_fields.items() + if v.json_schema_extra["__dspy_field_type"] == "input"} + +@property +def output_fields(cls) -> dict[str, FieldInfo]: + """Fields where __dspy_field_type == "output", in declaration order""" + return {k: v for k, v in cls.model_fields.items() + if v.json_schema_extra["__dspy_field_type"] == "output"} + +@property +def fields(cls) -> dict[str, FieldInfo]: + """All fields: {**input_fields, **output_fields}""" + return {**cls.input_fields, **cls.output_fields} + +@property +def signature(cls) -> str: + """String representation: "input1, input2 -> output1, output2" """ + inputs = ", ".join(cls.input_fields.keys()) + outputs = ", ".join(cls.output_fields.keys()) + return f"{inputs} -> {outputs}" +``` + +--- + +## 6. Signature Manipulation + +**All manipulation methods return new Signature classes.** The original is never mutated. This is the immutable pattern. + +### `with_instructions(instructions: str) -> type[Signature]` + +```python +def with_instructions(cls, instructions: str): + """New Signature with different instructions, same fields.""" + return Signature(cls.fields, instructions) +``` + +### `with_updated_fields(name, type_=None, **kwargs) -> type[Signature]` + +```python +def with_updated_fields(cls, name, type_=None, **kwargs): + """Deep-copies fields, updates json_schema_extra for the named field, creates new Signature.""" + fields_copy = deepcopy(cls.fields) + fields_copy[name].json_schema_extra = {**fields_copy[name].json_schema_extra, **kwargs} + if type_ is not None: + fields_copy[name].annotation = type_ + return Signature(fields_copy, cls.instructions) +``` + +Used by COPRO to change field prefixes: `sig.with_updated_fields("answer", prefix="Final Answer:")`. + +### `prepend(name, field, type_=None)` / `append(name, field, type_=None)` + +Both delegate to `insert()`: + +```python +def prepend(cls, name, field, type_=None): + return cls.insert(0, name, field, type_) + +def append(cls, name, field, type_=None): + return cls.insert(-1, name, field, type_) +``` + +### `insert(index, name, field, type_=None)` + +```python +def insert(cls, index, name, field, type_=None): + """ + Splits fields into input_fields and output_fields lists. + Determines which list based on __dspy_field_type. + Inserts at the given index. + Recombines and creates a new Signature. + """ + input_fields = list(cls.input_fields.items()) + output_fields = list(cls.output_fields.items()) + + lst = input_fields if field.json_schema_extra["__dspy_field_type"] == "input" else output_fields + lst.insert(index, (name, (type_ or str, field))) + + new_fields = dict(input_fields + output_fields) + return Signature(new_fields, cls.instructions) +``` + +### `delete(name)` + +```python +def delete(cls, name): + """Removes the named field. Returns new Signature.""" + fields_copy = dict(cls.fields) + fields_copy.pop(name, None) + return Signature(fields_copy, cls.instructions) +``` + +--- + +## 7. How Modules Modify Signatures + +This is the core of the "augmentation pattern." Each module type manipulates the signature differently: + +### ChainOfThought -- Prepend Reasoning + +```python +extended_signature = signature.prepend( + name="reasoning", + field=dspy.OutputField( + prefix="Reasoning: Let's think step by step in order to", + desc="${reasoning}" + ), + type_=str +) +``` + +`"question -> answer"` becomes `"question -> reasoning, answer"`. The LM is forced to produce reasoning before the answer. + +### ReAct -- Build From Scratch + +```python +react_signature = ( + dspy.Signature({**signature.input_fields}, "\n".join(instr)) + .append("trajectory", dspy.InputField(), type_=str) + .append("next_thought", dspy.OutputField(), type_=str) + .append("next_tool_name", dspy.OutputField(), type_=Literal[tuple(tools.keys())]) + .append("next_tool_args", dspy.OutputField(), type_=dict[str, Any]) +) +``` + +Note `Literal[tuple(tools.keys())]` -- the type system constrains what the LM can output for tool selection. + +### MultiChainComparison -- Append Input Fields + Prepend Output + +```python +for idx in range(M): + signature = signature.append( + f"reasoning_attempt_{idx+1}", + InputField(prefix=f"Student Attempt #{idx+1}:") + ) +signature = signature.prepend("rationale", OutputField(prefix="Accurate Reasoning: ...")) +``` + +### Refine -- Dynamic Injection at Call Time + +```python +signature = signature.append("hint_", InputField(desc="A hint from an earlier run")) +``` + +Done *inside the adapter wrapper* at call time, not at construction time. This is unique -- most modules modify signatures at `__init__`. + +--- + +## 8. Signature Serialization + +### `dump_state()` / `load_state(state)` + +```python +def dump_state(cls): + """Dumps instructions + per-field prefix and description.""" + return { + "instructions": cls.instructions, + "fields": { + name: { + "prefix": field.json_schema_extra.get("prefix"), + "desc": field.json_schema_extra.get("desc"), + } + for name, field in cls.fields.items() + } + } + +def load_state(cls, state): + """Creates a new Signature from stored state. + Updates instructions and field prefix/desc from the saved state.""" + new_sig = cls.with_instructions(state["instructions"]) + for name, field_state in state.get("fields", {}).items(): + if name in new_sig.fields: + new_sig = new_sig.with_updated_fields(name, **field_state) + return new_sig +``` + +This is what `Predict.dump_state()` calls under `state["signature"]`. It preserves the optimized instructions and field metadata while the field types and structure come from the code. + +--- + +## 9. Pydantic Integration + +### How Types Map to Prompts + +The adapter uses `translate_field_type()` to generate type hints for the LM: + +| Python Type | Prompt Hint | +|-------------|------------| +| `str` | (no hint) | +| `bool` | `"must be True or False"` | +| `int` / `float` | `"must be a single int/float value"` | +| `Enum` | `"must be one of: val1; val2; val3"` | +| `Literal["a", "b"]` | `"must exactly match one of: a; b"` | +| Complex types | `"must adhere to the JSON schema: {...}"` (Pydantic JSON schema) | + +### How Parsing Works + +Parsing happens in `parse_value()` (`dspy/adapters/utils.py`): + +1. `str` annotation -> return raw string +2. `Enum` -> find matching member by value or name +3. `Literal` -> validate against allowed values +4. `bool/int/float` -> type cast +5. Complex types -> `json_repair.loads()` then `pydantic.TypeAdapter(annotation).validate_python()` +6. DSPy Type subclasses -> custom parsing + +--- + +## 10. The Signature as Contract + +A Signature encodes: + +| Aspect | How | +|--------|-----| +| **What inputs are needed** | `input_fields` dict | +| **What outputs are produced** | `output_fields` dict | +| **How to describe the task** | `instructions` (docstring) | +| **How to present each field** | `prefix` and `desc` per field | +| **What types are expected** | Python type annotations per field | +| **What constraints apply** | Pydantic constraints -> `constraints` string | +| **Field ordering** | Dict insertion order (inputs first, then outputs) | + +The signature flows through the entire system: +- **Module** holds it on `self.signature` +- **Adapter.format()** reads it to build the prompt +- **Adapter.parse()** reads it to know what to extract +- **Optimizers** modify `instructions` and field `prefix`/`desc` +- **save()/load()** serializes/deserializes it diff --git a/docs/specs/modules/dspy_module_system_reference/03_predict.md b/docs/specs/modules/dspy_module_system_reference/03_predict.md new file mode 100644 index 00000000..51e4c8b1 --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/03_predict.md @@ -0,0 +1,341 @@ +# Predict: The Foundation Primitive + +## What Predict Is + +`Predict` is the **only** leaf node in the DSPy module tree. It is the only class that inherits from both `Module` (callable, composable) and `Parameter` (discoverable by optimizers). Every higher-level module (ChainOfThought, ReAct, etc.) ultimately delegates to one or more Predict instances. + +A Predict takes a Signature, formats it into a prompt via an adapter, calls an LM, parses the response back into typed outputs, and returns a Prediction. + +--- + +## 1. Construction + +```python +class Predict(Module, Parameter): + def __init__(self, signature: str | type[Signature], callbacks=None, **config): + super().__init__(callbacks=callbacks) + self.stage = random.randbytes(8).hex() # Unique ID for tracing + self.signature = ensure_signature(signature) # Parse string -> Signature class + self.config = config # Default LM kwargs (temperature, n, etc.) + self.reset() + + def reset(self): + """Clears all learned/optimizable state.""" + self.lm = None # Per-predictor LM override (None = use settings.lm) + self.traces = [] # Execution traces (for optimization) + self.train = [] # Training examples + self.demos = [] # Few-shot examples (THE primary optimizable state) +``` + +### Key Attributes + +| Attribute | Type | Purpose | Optimizable? | +|-----------|------|---------|-------------| +| `signature` | `type[Signature]` | The typed I/O contract | Yes (instructions, field prefixes) | +| `demos` | `list[Example]` | Few-shot examples prepended to prompt | Yes (primary optimization lever) | +| `lm` | `LM \| None` | Per-predictor LM override | Yes (BootstrapFinetune replaces this) | +| `config` | `dict` | Default LM kwargs (temp, n, etc.) | No (set at construction) | +| `stage` | `str` | Random hex ID for tracing | No | +| `traces` | `list` | Execution traces for optimization | Bookkeeping | +| `train` | `list` | Training examples | Bookkeeping | + +### `ensure_signature()` + +Converts various inputs to a Signature class: +- String `"question -> answer"` -> parse into a Signature class +- Existing Signature class -> return as-is +- Dict of fields -> create a Signature class + +--- + +## 2. The Forward Pipeline + +`Predict.__call__(**kwargs)` -> `Module.__call__` (callbacks, tracking) -> `Predict.forward(**kwargs)`. + +Note: `Predict.__call__` first validates that no positional args are passed (must use keyword args matching signature fields): + +```python +def __call__(self, *args, **kwargs): + if args: + raise ValueError(self._get_positional_args_error_message()) + return super().__call__(**kwargs) +``` + +### 2.1 `forward()` -- Three Steps + +```python +def forward(self, **kwargs): + # Step 1: Resolve LM, merge config, extract demos + lm, config, signature, demos, kwargs = self._forward_preprocess(**kwargs) + + # Step 2: Get adapter and run the full pipeline + adapter = settings.adapter or ChatAdapter() + + if self._should_stream(): + with settings.context(caller_predict=self): + completions = adapter(lm, lm_kwargs=config, signature=signature, + demos=demos, inputs=kwargs) + else: + with settings.context(send_stream=None): + completions = adapter(lm, lm_kwargs=config, signature=signature, + demos=demos, inputs=kwargs) + + # Step 3: Build Prediction, record trace + return self._forward_postprocess(completions, signature, **kwargs) +``` + +### 2.2 `_forward_preprocess()` -- The Critical Setup + +This method extracts "privileged" kwargs that override Predict's defaults, resolves the LM, and prepares everything for the adapter call. + +```python +def _forward_preprocess(self, **kwargs): + # 1. Extract privileged kwargs (these are NOT passed to the LM as inputs) + signature = kwargs.pop("signature", self.signature) + signature = ensure_signature(signature) + + demos = kwargs.pop("demos", self.demos) + + config = {**self.config, **kwargs.pop("config", {})} + + lm = kwargs.pop("lm", self.lm) or settings.lm + + # 2. Validate LM exists and is the right type + if lm is None or not isinstance(lm, BaseLM): + raise ValueError("No LM is loaded / invalid LM type") + + # 3. Auto-adjust temperature for multi-generation + if config.get("n", 1) > 1 and config.get("temperature", 0) <= 0.15: + config["temperature"] = 0.7 # Prevent deterministic multi-gen + + # 4. Handle OpenAI predicted outputs + if "prediction" in kwargs: + config["prediction"] = kwargs.pop("prediction") + + # 5. Fill missing input fields with Pydantic defaults + for field_name, field_info in signature.input_fields.items(): + if field_name not in kwargs: + if field_info.default is not PydanticUndefined: + kwargs[field_name] = field_info.default + + # 6. Warn about missing required inputs + for field_name in signature.input_fields: + if field_name not in kwargs: + logger.warning(f"Missing input: {field_name}") + + return lm, config, signature, demos, kwargs +``` + +**LM resolution order**: `kwargs["lm"]` > `self.lm` > `settings.lm` + +**Config merge**: `{**self.config, **kwargs["config"]}` -- per-call config overrides construction-time config. + +### 2.3 `_forward_postprocess()` -- Tracing + +```python +def _forward_postprocess(self, completions, signature, **kwargs): + # 1. Build Prediction from completions + pred = Prediction.from_completions(completions, signature=signature) + + # 2. Append to trace if tracing is enabled + if kwargs.pop("_trace", True) and settings.trace is not None: + trace = settings.trace + if len(trace) >= settings.max_trace_size: + trace.pop(0) # LRU eviction + trace.append((self, {**kwargs}, pred)) + # Tuple: (predictor_instance, input_kwargs_dict, prediction_output) + + return pred +``` + +**The trace tuple** `(self, inputs, prediction)` is how optimizers connect outputs back to specific Predict instances. BootstrapFewShot reads these traces to create demos. + +--- + +## 3. Predict State Management + +### `dump_state()` -- Serialization + +```python +def dump_state(self, json_mode=True): + state_keys = ["traces", "train"] + state = {k: getattr(self, k) for k in state_keys} + + # Serialize demos (the main optimizable state) + state["demos"] = [] + for demo in self.demos: + demo = demo.copy() + for field in demo: + demo[field] = serialize_object(demo[field]) # Pydantic models -> dicts + if isinstance(demo, dict) or not json_mode: + state["demos"].append(demo) + else: + state["demos"].append(demo.toDict()) + + # Signature state (instructions + field prefixes/descriptions) + state["signature"] = self.signature.dump_state() + + # LM state (model config) or None + state["lm"] = self.lm.dump_state() if self.lm else None + + return state +``` + +### `load_state()` -- Deserialization + +```python +def load_state(self, state): + excluded_keys = ["signature", "extended_signature", "lm"] + for name, value in state.items(): + if name not in excluded_keys: + setattr(self, name, value) # demos, traces, train + + # Reconstruct signature from saved instructions/field metadata + self.signature = self.signature.load_state(state["signature"]) + + # Reconstruct LM from saved config + self.lm = LM(**state["lm"]) if state["lm"] else None +``` + +### What Gets Serialized + +| Field | Serialized? | Format | +|-------|------------|--------| +| `demos` | Yes | List of dicts (Example.toDict()) | +| `traces` | Yes | Raw list | +| `train` | Yes | Raw list | +| `signature` | Yes | `{instructions, fields: {name: {prefix, desc}}}` | +| `lm` | Yes (if set) | LM config dict (model name, kwargs) | +| `config` | No | Comes from code | +| `stage` | No | Random, regenerated | +| `callbacks` | No | Transient | + +--- + +## 4. The Adapter Call + +Inside `forward()`, the adapter call is the heart of the computation: + +```python +adapter = settings.adapter or ChatAdapter() +completions = adapter(lm, lm_kwargs=config, signature=signature, demos=demos, inputs=kwargs) +``` + +The adapter does: +1. **`_call_preprocess()`**: Handle native tool calls, reasoning types. May remove fields from signature. +2. **`format(signature, demos, inputs)`**: Build message list (system + demos + user). +3. **`lm(messages=messages, **kwargs)`**: Actually call the LM. +4. **`_call_postprocess()`**: Parse each completion via `parse(signature, text)`. + +The result is a list of dicts, one per completion, each containing the output field values. + +Then `Prediction.from_completions()` wraps this into a Prediction object. + +--- + +## 5. Prediction and Example + +### Example (`dspy/primitives/example.py`) + +Dict-like container with input/label separation: + +```python +class Example: + def __init__(self, **kwargs): + self._store = kwargs # The actual data + self._input_keys = set() # Which keys are inputs + self._demos = [] # Attached demos (rarely used) + + def with_inputs(self, *keys): + """Mark which fields are inputs. Returns self (mutates).""" + self._input_keys = set(keys) + return self + + def inputs(self): + """Returns Example with only input keys.""" + return {k: v for k, v in self._store.items() if k in self._input_keys} + + def labels(self): + """Returns Example with only non-input keys.""" + return {k: v for k, v in self._store.items() if k not in self._input_keys} +``` + +Training data and demos are both Examples. The `.with_inputs()` call marks the boundary between what gets passed as input and what's a label. + +### Prediction (`dspy/primitives/prediction.py`) + +Subclass of Example, returned by all modules: + +```python +class Prediction(Example): + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._completions = None # All completions (not just the first) + self._lm_usage = None # Token usage tracking + + @classmethod + def from_completions(cls, list_or_dict, signature=None): + """ + Wraps completions into a Prediction. + - Stores all completions as a Completions object + - pred._store = {k: v[0] for k, v in completions.items()} + (first completion is the default) + """ + obj = cls() + obj._completions = Completions(list_or_dict, signature=signature) + # Set primary values to first completion + obj._store = {k: v[0] for k, v in obj._completions.items()} + return obj +``` + +Attribute access (`pred.answer`) returns the first completion's value. `pred.completions.answer` returns all completions for that field. + +--- + +## 6. The Complete Flow + +Putting it all together for a single `predict(question="What is 2+2?")` call: + +``` +1. Predict.__call__(question="What is 2+2?") + -> Validates no positional args + -> Module.__call__(**kwargs) + -> @with_callbacks: on_module_start + -> Push self to caller_modules stack + -> Predict.forward(question="What is 2+2?") + +2. _forward_preprocess(question="What is 2+2?") + -> signature = self.signature (e.g., "question -> answer") + -> demos = self.demos (e.g., 3 few-shot examples) + -> config = {**self.config} (e.g., {temperature: 0}) + -> lm = self.lm or settings.lm + -> kwargs = {question: "What is 2+2?"} + -> return (lm, config, signature, demos, kwargs) + +3. adapter = settings.adapter or ChatAdapter() + +4. completions = adapter(lm, lm_kwargs=config, signature=signature, + demos=demos, inputs=kwargs) + + Inside adapter.__call__: + a. _call_preprocess: check for tools/native types, may modify signature + b. format(signature, demos, inputs): + - System message: field descriptions + format structure + instructions + - Demo messages: few-shot examples as user/assistant pairs + - User message: current inputs + output format reminder + c. lm(messages=messages, **lm_kwargs): + - litellm call to the actual LM + - Returns list of completion strings + d. _call_postprocess: for each completion: + - parse(signature, text): extract output field values + - Returns list of dicts: [{answer: "4"}, ...] + +5. _forward_postprocess(completions, signature, question="What is 2+2?") + -> Prediction.from_completions([{answer: "4"}]) + -> Append (self, {question: "What is 2+2?"}, prediction) to settings.trace + -> Return prediction + +6. Module.__call__ returns + -> @with_callbacks: on_module_end + -> Return Prediction(answer="4") +``` diff --git a/docs/specs/modules/dspy_module_system_reference/04_augmentation_patterns.md b/docs/specs/modules/dspy_module_system_reference/04_augmentation_patterns.md new file mode 100644 index 00000000..94fbc52d --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/04_augmentation_patterns.md @@ -0,0 +1,436 @@ +# Augmentation Patterns: How Modules Build on Predict + +## The Core Idea + +Every DSPy module that does anything interesting is **orchestration on top of Predict**. The module itself is not a parameter -- it's a container. The actual "learning" (demos, instructions) lives entirely inside the Predict instances it holds. + +There are exactly **four augmentation patterns** in DSPy: + +| Pattern | Mechanism | Modules | +|---------|-----------|---------| +| **Signature Extension** | Modify the signature at `__init__` time, delegate to one Predict | ChainOfThought, MultiChainComparison | +| **Multi-Signature Orchestration** | Multiple Predicts with different signatures, orchestrated in a loop | ReAct, ProgramOfThought | +| **Module Wrapping** | Wrap an arbitrary Module, run it multiple times, select best output | BestOfN, Refine | +| **Aggregation** | Take multiple completions and synthesize/vote | MultiChainComparison, `majority()` | + +--- + +## Pattern 1: Signature Extension + +### ChainOfThought -- The Canonical Example + +**File**: `dspy/predict/chain_of_thought.py` + +```python +class ChainOfThought(Module): + def __init__(self, signature, rationale_field=None, rationale_field_type=str, **config): + super().__init__() + signature = ensure_signature(signature) + + # Default rationale field + prefix = "Reasoning: Let's think step by step in order to" + desc = "${reasoning}" + rationale_field_type = rationale_field.annotation if rationale_field else rationale_field_type + rationale_field = rationale_field if rationale_field else dspy.OutputField(prefix=prefix, desc=desc) + + # THE AUGMENTATION: prepend a "reasoning" output field + extended_signature = signature.prepend( + name="reasoning", + field=rationale_field, + type_=rationale_field_type + ) + + # Single Predict with the extended signature + self.predict = dspy.Predict(extended_signature, **config) + + def forward(self, **kwargs): + return self.predict(**kwargs) +``` + +**What happens**: +- `"question -> answer"` becomes `"question -> reasoning, answer"` +- The LM is forced to produce `reasoning` *before* `answer` +- `forward()` is a pure passthrough to the single Predict + +**What optimizers see**: One Predict at path `"predict"`. They can: +- Add demos to `self.predict.demos` +- Rewrite `self.predict.signature.instructions` +- Rewrite the reasoning field's prefix (e.g., change "Let's think step by step" to something better) + +**The Reasoning type trick**: If `rationale_field_type` is the `Reasoning` custom type (instead of `str`), the adapter detects it at call time. If the LM supports native reasoning (o1, o3), the adapter *removes* the reasoning field from the signature and enables the model's built-in chain-of-thought via `reasoning_effort` in lm_kwargs. The LM does its own reasoning internally, and the adapter extracts `reasoning_content` from the response. For non-reasoning models, it falls back to text-based reasoning. + +### MultiChainComparison -- Aggregation via Signature Extension + +**File**: `dspy/predict/multi_chain_comparison.py` + +```python +class MultiChainComparison(Module): + def __init__(self, signature, M=3, temperature=0.7, **config): + super().__init__() + self.M = M + signature = ensure_signature(signature) + *_, self.last_key = signature.output_fields.keys() # The final output field name + + # Append M input fields for "student attempts" + for idx in range(M): + signature = signature.append( + f"reasoning_attempt_{idx+1}", + InputField( + prefix=f"Student Attempt #{idx+1}:", + desc="${reasoning attempt}" + ), + ) + + # Prepend a rationale output field + signature = signature.prepend( + "rationale", + OutputField( + prefix="Accurate Reasoning: Thank you everyone. Let's now holistically", + desc="${corrected reasoning}", + ), + ) + + self.predict = Predict(signature, temperature=temperature, **config) +``` + +**The forward method is unique -- it takes `completions` as input**: + +```python +def forward(self, completions, **kwargs): + attempts = [] + for c in completions: + rationale = c.get("rationale", c.get("reasoning")).strip().split("\n")[0].strip() + answer = str(c[self.last_key]).strip().split("\n")[0].strip() + attempts.append( + f"<>" + ) + + kwargs = { + **{f"reasoning_attempt_{idx+1}": attempt for idx, attempt in enumerate(attempts)}, + **kwargs, + } + return self.predict(**kwargs) +``` + +The pattern: run ChainOfThought M times, feed all M attempts into MultiChainComparison, get a synthesized answer. The signature extension adds the M input slots and a synthesis rationale. + +--- + +## Pattern 2: Multi-Signature Orchestration + +### ReAct -- Tool-Using Agent Loop + +**File**: `dspy/predict/react.py` + +```python +class ReAct(Module): + def __init__(self, signature, tools, max_iters=20): + super().__init__() + self.signature = signature = ensure_signature(signature) + self.max_iters = max_iters + + # Convert callables to Tool objects + tools = [t if isinstance(t, Tool) else Tool(t) for t in tools] + tools = {tool.name: tool for tool in tools} + + # Add a "finish" tool that signals completion + # (returns a dict with the original output field values) + tools["finish"] = Tool( + func=lambda **kwargs: "Completed.", + name="finish", + desc="Signal task completion.", + args={name: ... for name in signature.output_fields}, + ) + self.tools = tools +``` + +**Two separate Predict instances with different signatures**: + +```python + # The action-selection signature + instr = [ + signature.instructions, + "You will be given `trajectory` as context.", + f"Tools: {tool_descriptions}", + "Finish with the `finish` tool when done.", + ] + react_signature = ( + dspy.Signature({**signature.input_fields}, "\n".join(instr)) + .append("trajectory", dspy.InputField(), type_=str) + .append("next_thought", dspy.OutputField(), type_=str) + .append("next_tool_name", dspy.OutputField(), type_=Literal[tuple(tools.keys())]) + .append("next_tool_args", dspy.OutputField(), type_=dict[str, Any]) + ) + + # The extraction signature (uses ChainOfThought) + fallback_signature = dspy.Signature( + {**signature.input_fields, **signature.output_fields}, + signature.instructions, + ).append("trajectory", dspy.InputField(), type_=str) + + self.react = dspy.Predict(react_signature) + self.extract = dspy.ChainOfThought(fallback_signature) +``` + +**The agent loop**: + +```python +def forward(self, **input_args): + trajectory = {} + + for idx in range(self.max_iters): + # Ask the LM what to do next + pred = self._call_with_potential_trajectory_truncation( + self.react, trajectory, **input_args + ) + + # Record the action in trajectory + trajectory[f"thought_{idx}"] = pred.next_thought + trajectory[f"tool_name_{idx}"] = pred.next_tool_name + trajectory[f"tool_args_{idx}"] = pred.next_tool_args + + # Actually execute the tool + try: + trajectory[f"observation_{idx}"] = self.tools[pred.next_tool_name]( + **pred.next_tool_args + ) + except Exception as err: + trajectory[f"observation_{idx}"] = f"Execution error: {_fmt_exc(err)}" + + # Break if finish tool was selected + if pred.next_tool_name == "finish": + break + + # Extract final answer from the full trajectory + extract = self._call_with_potential_trajectory_truncation( + self.extract, trajectory, **input_args + ) + return dspy.Prediction(trajectory=trajectory, **extract) +``` + +**Context window handling**: `_call_with_potential_trajectory_truncation` retries up to 3 times on `ContextWindowExceededError`, each time truncating the oldest 4 trajectory entries (one tool call = thought + name + args + observation). + +**Parameters exposed to optimizers**: Two Predict instances: +- `self.react` -- the action-selection predictor +- `self.extract.predict` -- the ChainOfThought's internal Predict for extraction + +### ProgramOfThought -- Code Generation + Execution + +**File**: `dspy/predict/program_of_thought.py` + +```python +class ProgramOfThought(Module): + def __init__(self, signature, max_iters=3, interpreter=None): + super().__init__() + self.signature = signature = ensure_signature(signature) + self.input_fields = signature.input_fields + self.output_fields = signature.output_fields + + # THREE separate ChainOfThought modules, each with a custom signature: + + # 1. Generate code from inputs + self.code_generate = dspy.ChainOfThought( + dspy.Signature( + self._generate_signature("generate").fields, + self._generate_instruction("generate") + ), + ) + + # 2. Regenerate code given previous code + error + self.code_regenerate = dspy.ChainOfThought( + dspy.Signature( + self._generate_signature("regenerate").fields, + self._generate_instruction("regenerate") + ), + ) + + # 3. Interpret code output into final answer + self.generate_output = dspy.ChainOfThought( + dspy.Signature( + self._generate_signature("answer").fields, + self._generate_instruction("answer") + ), + ) + + self.interpreter = interpreter or PythonInterpreter() +``` + +**The execution loop**: + +```python +def forward(self, **kwargs): + input_kwargs = {name: kwargs[name] for name in self.input_fields} + + # Step 1: Generate code + code_data = self.code_generate(**input_kwargs) + code, error = self._parse_code(code_data) + if not error: + output, error = self._execute_code(code) + + # Step 2: Retry on failure + hop = 1 + while error is not None: + if hop == self.max_iters: + raise RuntimeError(f"Max iterations reached: {error}") + input_kwargs.update({"previous_code": code, "error": error}) + code_data = self.code_regenerate(**input_kwargs) + code, error = self._parse_code(code_data) + if not error: + output, error = self._execute_code(code) + hop += 1 + + # Step 3: Interpret code output + input_kwargs.update({"final_generated_code": code, "code_output": output}) + return self.generate_output(**input_kwargs) +``` + +**Signature generation** (`_generate_signature(mode)`): +- `"generate"`: original inputs -> `generated_code: str` +- `"regenerate"`: original inputs + `previous_code: str` + `error: str` -> `generated_code: str` +- `"answer"`: original inputs + `final_generated_code: str` + `code_output: str` -> original outputs + +**Parameters exposed to optimizers**: Three ChainOfThought modules, each with an internal Predict: +- `self.code_generate.predict` +- `self.code_regenerate.predict` +- `self.generate_output.predict` + +--- + +## Pattern 3: Module Wrapping + +### BestOfN -- Rejection Sampling + +**File**: `dspy/predict/best_of_n.py` + +```python +class BestOfN(Module): + def __init__(self, module, N, reward_fn, threshold, fail_count=None): + self.module = module + self.N = N + self.threshold = threshold + self.fail_count = fail_count or N + + # IMPORTANT: wrapped in lambda to prevent named_parameters() from + # discovering it (a raw function assigned to self would be walked) + self.reward_fn = lambda *args: reward_fn(*args) +``` + +```python +def forward(self, **kwargs): + best_pred, best_score = None, float("-inf") + fail_count = 0 + + for i in range(self.N): + with dspy.context(rollout_id=i, temperature=1.0): + pred = self.module(**kwargs) + score = self.reward_fn(kwargs, pred) + + if score > best_score: + best_pred, best_score = pred, score + if score >= self.threshold: + return pred # Good enough, return early + fail_count += 1 + if fail_count >= self.fail_count: + break + + return best_pred +``` + +**Key behaviors**: +- Runs the wrapped module N times at temperature=1.0 +- Each run gets a unique `rollout_id` in the context +- Returns the first prediction that meets the threshold, or the best overall +- `self.reward_fn` is wrapped in a lambda specifically to prevent parameter discovery (otherwise `named_parameters()` would try to walk into it) + +**Parameters exposed to optimizers**: Whatever `self.module` contains. BestOfN itself adds no Predict instances. + +### Refine -- BestOfN With Feedback + +**File**: `dspy/predict/refine.py` + +Refine does everything BestOfN does, plus: after a failed attempt, it generates per-module advice and injects it as a "hint" on retry. + +**The feedback mechanism**: Uses `dspy.Predict(OfferFeedback)` to generate advice: + +```python +# OfferFeedback signature: +# input_data, output_data, metric_value, output_field_name -> feedback +feedback_pred = dspy.Predict(OfferFeedback) +``` + +**The hint injection** uses a `WrapperAdapter`: + +```python +class WrapperAdapter(adapter.__class__): + def __call__(self, lm, lm_kwargs, signature, demos, inputs): + # Dynamically add a hint field to the signature + inputs["hint_"] = advice.get(signature2name[signature], "N/A") + signature = signature.append( + "hint_", + InputField(desc="A hint to the module from an earlier run") + ) + return adapter(lm, lm_kwargs, signature, demos, inputs) +``` + +**This is the modern replacement for Assert/Suggest**. Instead of backtracking and mutating signatures permanently, Refine: +1. Runs the module +2. If the metric fails, asks an LM for advice +3. Injects that advice as a temporary "hint" field on the next attempt +4. The signature modification happens at call time via the adapter wrapper, not at construction time + +--- + +## Pattern 4: Aggregation + +### `majority()` -- Voting + +Not a module, just a function: + +```python +def majority(prediction_or_completions, normalize=...): + """Returns the most common value across completions.""" +``` + +### MultiChainComparison (covered above) + +Takes M completions and synthesizes them. This is aggregation *via* signature extension. + +--- + +## Deprecated / Removed Modules + +### Retry -- Removed + +The entire file (`dspy/predict/retry.py`) is commented out. Not exported. Replaced by `Refine` and `BestOfN`. + +### Assert / Suggest -- Removed in DSPy 2.6 + +These were inline constraints that triggered backtracking: +```python +# OLD (removed): +dspy.Assert(len(answer) < 100, "Answer too long") +``` + +When the constraint failed, it would dynamically modify the signature by adding `past_{output_field}` InputFields and a `feedback` InputField. On persistent failure, `Assert` raised an error; `Suggest` logged and continued. + +Replaced by `Refine` which does the same thing more cleanly. + +### ChainOfThoughtWithHint -- Removed + +Absorbed into `Refine`'s hint injection mechanism. + +--- + +## Summary: What Each Module Exposes to Optimizers + +| Module | # Predicts | Paths | What's Optimizable | +|--------|-----------|-------|-------------------| +| **Predict** | 1 | `self` | demos, signature.instructions, field prefixes | +| **ChainOfThought** | 1 | `predict` | demos, instructions, reasoning prefix | +| **MultiChainComparison** | 1 | `predict` | demos, instructions, rationale prefix | +| **ReAct** | 2 | `react`, `extract.predict` | demos and instructions for both action selection and extraction | +| **ProgramOfThought** | 3 | `code_generate.predict`, `code_regenerate.predict`, `generate_output.predict` | demos and instructions for code gen, code regen, and output interpretation | +| **BestOfN** | varies | whatever `self.module` contains | pass-through to wrapped module | +| **Refine** | varies + 1 | wrapped module + feedback predictor | pass-through + feedback generation | + +**The invariant**: Every optimizable thing is a Predict. Every Predict has a signature and demos. Modules are just orchestration. diff --git a/docs/specs/modules/dspy_module_system_reference/05_adapters.md b/docs/specs/modules/dspy_module_system_reference/05_adapters.md new file mode 100644 index 00000000..bd3650a6 --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/05_adapters.md @@ -0,0 +1,575 @@ +# Adapters: How Modules Talk to LMs + +## What Adapters Do + +An adapter sits between `Predict` and the LM. It has three jobs: +1. **Format**: Convert (signature, demos, inputs) into a list of chat messages +2. **Call**: Send messages to the LM +3. **Parse**: Extract typed output field values from the LM's text response + +The critical path: `Predict.forward()` -> `adapter(lm, lm_kwargs, signature, demos, inputs)` -> messages -> LM -> completions -> parsed dicts -> Prediction. + +--- + +## 1. Adapter Base Class + +**File**: `dspy/adapters/base.py` + +### Constructor + +```python +class Adapter: + def __init__(self, callbacks=None, use_native_function_calling=False, + native_response_types=None): + self.callbacks = callbacks or [] + self.use_native_function_calling = use_native_function_calling + self.native_response_types = native_response_types or [Citations, Reasoning] +``` + +- `use_native_function_calling`: When True, detects `dspy.Tool` input fields and `dspy.ToolCalls` output fields, converts them to litellm tool definitions +- `native_response_types`: Types handled by native LM features rather than text parsing (e.g., `Reasoning` for o1-style models) + +### The `__call__` Pipeline + +```python +def __call__(self, lm, lm_kwargs, signature, demos, inputs): + # Step 1: Preprocess - handle native tools and response types + processed_signature, original_signature, lm_kwargs = self._call_preprocess( + lm, lm_kwargs, signature, inputs + ) + + # Step 2: Format and call + messages = self.format(processed_signature, demos, inputs) + outputs = lm(messages=messages, **lm_kwargs) # list[str | dict] + + # Step 3: Postprocess - parse each completion + return self._call_postprocess( + processed_signature, original_signature, outputs, lm, lm_kwargs + ) +``` + +### Step 1: `_call_preprocess()` + +Handles two categories of "native" features: + +**Native function calling** (when `use_native_function_calling=True`): +- Finds `dspy.Tool` / `list[dspy.Tool]` input fields +- Finds `dspy.ToolCalls` output fields +- Converts tools to litellm format via `tool.format_as_litellm_function_call()` +- Adds to `lm_kwargs["tools"]` +- **Removes** both tool input and ToolCalls output fields from the signature +- The LM handles tool calling natively instead of through text + +**Native response types** (Reasoning, Citations): +- For each output field with a native response type annotation: + - Calls `field.annotation.adapt_to_native_lm_feature(signature, name, lm, lm_kwargs)` + - For `Reasoning`: checks if LM supports native reasoning (via `litellm.supports_reasoning()`). If yes, sets `reasoning_effort` in lm_kwargs and **deletes** the reasoning field from the signature. The model uses its built-in chain-of-thought. + - Returns the modified signature (with native-handled fields removed) + +### Step 3: `_call_postprocess()` + +For each LM output: +1. If the output has text: call `self.parse(processed_signature, text)` -> dict of field values +2. Set missing fields (ones in original but not processed signature) to `None` +3. If tool_calls present: parse into `ToolCalls.from_dict_list()` +4. For native response types: call `field.annotation.parse_lm_response(output)` (e.g., extract `reasoning_content` from the response dict) +5. Handle logprobs + +### Abstract Methods (subclasses must implement) + +```python +def format_field_description(self, signature) -> str +def format_field_structure(self, signature) -> str +def format_task_description(self, signature) -> str +def format_user_message_content(self, signature, inputs, ...) -> str +def format_assistant_message_content(self, signature, outputs, ...) -> str +def parse(self, signature, completion) -> dict +``` + +### Concrete Methods in Base + +**`format(signature, demos, inputs)`** -- The main formatting pipeline: + +```python +def format(self, signature, demos, inputs): + messages = [] + + # 1. Check for History field; if present, extract conversation history + history_field_name = ... # find field with dspy.History type + if history_field_name: + signature = signature.delete(history_field_name) + + # 2. System message + messages.append({ + "role": "system", + "content": self.format_system_message(signature) + }) + + # 3. Demo messages (few-shot examples) + messages.extend(self.format_demos(signature, demos)) + + # 4. Conversation history (if any) + if history_field_name: + messages.extend(self.format_conversation_history( + signature, history_field_name, inputs + )) + + # 5. Current user input + messages.append({ + "role": "user", + "content": self.format_user_message_content( + signature, inputs, main_request=True + ) + }) + + # 6. Handle custom types (Image, Audio, File) + messages = split_message_content_for_custom_types(messages) + + return messages +``` + +**`format_system_message(signature)`**: +```python +def format_system_message(self, signature): + return ( + self.format_field_description(signature) + "\n\n" + + self.format_field_structure(signature) + "\n\n" + + self.format_task_description(signature) + ) +``` + +**`format_demos(signature, demos)`** -- Sorts demos into complete and incomplete: + +```python +def format_demos(self, signature, demos): + messages = [] + + # Separate complete (all fields) from incomplete (some missing) + complete_demos = [d for d in demos if all fields present] + incomplete_demos = [d for d in demos if has_input AND has_output but not all] + + # Incomplete demos come FIRST with a disclaimer + for demo in incomplete_demos: + # User message with "This is an example of the task, though some input + # or output fields are not supplied." + # Missing fields show: "Not supplied for this particular example." + + # Complete demos after + for demo in complete_demos: + # User/assistant message pair with all fields filled +``` + +--- + +## 2. ChatAdapter + +**File**: `dspy/adapters/chat_adapter.py` + +The default adapter. Uses `[[ ## field_name ## ]]` delimiters to separate fields. + +### Fallback to JSONAdapter + +```python +def __call__(self, lm, lm_kwargs, signature, demos, inputs): + try: + return super().__call__(...) + except Exception as e: + if isinstance(e, ContextWindowExceededError): + raise # Don't retry context window errors + if isinstance(self, JSONAdapter): + raise # Already in JSON mode + if not self.use_json_adapter_fallback: + raise + # Fallback: retry with JSONAdapter + return JSONAdapter()(lm, lm_kwargs, signature, demos, inputs) +``` + +### `format_field_description(signature)` + +``` +Your input fields are: +1. `question` (str): The question to answer +2. `context` (list[str]): Relevant passages + +Your output fields are: +1. `answer` (str): The answer, often between 1 and 5 words +``` + +### `format_field_structure(signature)` + +Shows the expected format using `[[ ## field_name ## ]]` markers: + +``` +All interactions will be structured in the following way, with the appropriate values filled in. + +[[ ## question ## ]] +{question} + +[[ ## context ## ]] +{context} + +[[ ## answer ## ]] +{answer} # note: the value you produce must be a single str value + +[[ ## completed ## ]] +``` + +The type hints come from `translate_field_type()`: + +| Python Type | Prompt Hint | +|-------------|------------| +| `str` | (no hint) | +| `bool` | `"must be True or False"` | +| `int` / `float` | `"must be a single int/float value"` | +| `Enum` | `"must be one of: val1; val2; val3"` | +| `Literal["a", "b"]` | `"must exactly match (no extra characters) one of: a; b"` | +| Complex types | `"must adhere to the JSON schema: {...}"` (Pydantic JSON schema) | + +### `format_task_description(signature)` + +``` +In adhering to this structure, your objective is: + Answer questions with short factoid answers. +``` + +### `format_user_message_content(signature, inputs, main_request=True)` + +``` +[[ ## question ## ]] +What is the capital of France? + +[[ ## context ## ]] +[1] <> + +Respond with the corresponding output fields, starting with the field `[[ ## answer ## ]]`, +and then ending with the marker for `[[ ## completed ## ]]`. +``` + +The last line (output requirements) is only added when `main_request=True` (not for demos). + +### `format_assistant_message_content(signature, outputs)` + +``` +[[ ## answer ## ]] +Paris + +[[ ## completed ## ]] +``` + +### `format_field_value()` (from `utils.py`) + +How values are formatted in messages: +- Lists of strings: numbered format `[1] <>`, `[2] <>` +- Dicts/lists of non-strings: `json.dumps(jsonable_value)` +- Primitives: `str(value)` +- Single items with delimiters: `<>` or `<<>>` for long values + +### `parse(signature, completion)` + +```python +def parse(self, signature, completion): + # 1. Split on [[ ## field_name ## ]] headers + sections = re.split(r"\[\[ ## (\w+) ## \]\]", completion) + + # 2. Group content under each header + fields = {} + for header, content in paired_sections: + if header in signature.output_fields: + fields[header] = content.strip() + + # 3. Parse each field value to its annotated type + for name, raw_value in fields.items(): + annotation = signature.output_fields[name].annotation + fields[name] = parse_value(raw_value, annotation) + + # 4. Validate all output fields are present + if not all(name in fields for name in signature.output_fields): + raise AdapterParseError(...) + + return fields +``` + +**`parse_value(value_string, annotation)`** (from `utils.py`): +1. `str` -> return as-is +2. `Enum` -> find matching member by value or name +3. `Literal` -> validate against allowed values, strip wrapper syntax +4. `bool/int/float` -> type cast +5. Complex types -> `json_repair.loads()` then `pydantic.TypeAdapter(annotation).validate_python()` +6. DSPy Type subclasses -> try custom parsing + +--- + +## 3. JSONAdapter + +**File**: `dspy/adapters/json_adapter.py` + +Extends ChatAdapter. Key differences: outputs are JSON instead of delimited text. + +### Structured Outputs Support + +```python +def __call__(self, lm, lm_kwargs, signature, demos, inputs): + # Try 1: json_object mode + result = self._json_adapter_call_common(...) + if result: return result + + try: + # Try 2: OpenAI Structured Outputs (full schema) + structured_output_model = _get_structured_outputs_response_format(signature) + lm_kwargs["response_format"] = structured_output_model + return super().__call__(...) + except: + # Try 3: json_object mode (simpler) + lm_kwargs["response_format"] = {"type": "json_object"} + return super().__call__(...) +``` + +### Output Format Differences + +**ChatAdapter output**: +``` +[[ ## answer ## ]] +Paris + +[[ ## completed ## ]] +``` + +**JSONAdapter output**: +```json +{ + "answer": "Paris" +} +``` + +### `format_field_structure(signature)` -- Different from ChatAdapter + +User inputs still use `[[ ## field_name ## ]]` markers, but outputs are described as JSON: + +``` +Inputs will have the following structure: + +[[ ## question ## ]] +{question} + +Outputs will be a JSON object with the following fields. +{ + "answer": "{answer}" // note: must adhere to JSON schema: ... +} +``` + +### `parse(signature, completion)` -- JSON parsing + +```python +def parse(self, signature, completion): + # 1. Parse with json_repair (handles malformed JSON) + result = json_repair.loads(completion) + + # 2. If not a dict, try regex extraction of JSON object + if not isinstance(result, dict): + match = regex.search(r"\{(?:[^{}]|(?R))*\}", completion) + result = json_repair.loads(match.group()) + + # 3. Filter to known output fields + result = {k: v for k, v in result.items() if k in signature.output_fields} + + # 4. Parse each value to its annotated type + for name, value in result.items(): + result[name] = parse_value(value, signature.output_fields[name].annotation) + + # 5. Validate all fields present + if not all(name in result for name in signature.output_fields): + raise AdapterParseError(...) + + return result +``` + +### Structured Outputs Model Generation + +`_get_structured_outputs_response_format(signature)` builds a Pydantic model from output fields with OpenAI's requirements: +- `extra="forbid"` (no additional properties) +- Recursive `enforce_required()` ensures all nested objects have `required` and `additionalProperties: false` + +--- + +## 4. Other Adapters + +### XMLAdapter + +**File**: `dspy/adapters/xml_adapter.py` + +Uses `...` XML tags instead of `[[ ## ]]` delimiters. Otherwise similar to ChatAdapter. + +### TwoStepAdapter + +**File**: `dspy/adapters/two_step_adapter.py` + +Uses two LM calls: +1. First call: natural language prompt, get a free-form response +2. Second call: use ChatAdapter to extract structured fields from the free-form response + +Useful for models that struggle with strict formatting. + +--- + +## 5. Complete Message Assembly Example + +For a `ChainOfThought("question -> answer")` with 2 demos and the input "What is 2+2?": + +### System Message + +``` +Your input fields are: +1. `question` (str) + +Your output fields are: +1. `reasoning` (str): ${reasoning} +2. `answer` (str) + +All interactions will be structured in the following way, with the appropriate values filled in. + +[[ ## question ## ]] +{question} + +[[ ## reasoning ## ]] +{reasoning} + +[[ ## answer ## ]] +{answer} + +[[ ## completed ## ]] + +In adhering to this structure, your objective is: + Given the fields `question`, produce the fields `reasoning`, `answer`. +``` + +### Demo 1 (User) + +``` +[[ ## question ## ]] +What is the capital of France? +``` + +### Demo 1 (Assistant) + +``` +[[ ## reasoning ## ]] +The question asks about the capital of France. France is a country in Europe, and its capital city is Paris. + +[[ ## answer ## ]] +Paris + +[[ ## completed ## ]] +``` + +### Demo 2 (User + Assistant) + +(Same pattern) + +### Current Input (User) + +``` +[[ ## question ## ]] +What is 2+2? + +Respond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, +and then ending with the marker for `[[ ## completed ## ]]`. +``` + +### LM Response (Assistant) + +``` +[[ ## reasoning ## ]] +The question asks for the sum of 2 and 2. Basic arithmetic: 2 + 2 = 4. + +[[ ## answer ## ]] +4 + +[[ ## completed ## ]] +``` + +### Parsed Result + +```python +{"reasoning": "The question asks for the sum of 2 and 2. Basic arithmetic: 2 + 2 = 4.", + "answer": "4"} +``` + +--- + +## 6. Settings and Adapter Configuration + +### Global Configuration + +```python +dspy.configure( + lm=dspy.LM("openai/gpt-4"), + adapter=dspy.ChatAdapter(), # Default if not set +) +``` + +### Per-Call Override + +```python +with dspy.context(adapter=dspy.JSONAdapter()): + result = predict(question="...") +``` + +### LM Resolution in Predict + +```python +# In _forward_preprocess: +adapter = settings.adapter or ChatAdapter() # Global or default +lm = kwargs.pop("lm", self.lm) or settings.lm # Per-call > per-predict > global +``` + +--- + +## 7. Custom Types and Special Handling + +### Image (`dspy/adapters/types/image.py`) + +- Subclass of `dspy.Type` +- `format()` returns `[{"type": "image_url", "image_url": {"url": data_uri}}]` +- Serialized with custom markers: `<>json<>` +- `split_message_content_for_custom_types()` finds these markers and splits the user message into multimodal content blocks (text + image_url parts), matching OpenAI's multimodal message format + +### Reasoning (`dspy/adapters/types/reasoning.py`) + +- String-like custom type +- `adapt_to_native_lm_feature()`: If LM supports native reasoning, sets `reasoning_effort` in lm_kwargs and removes the reasoning field from signature +- `parse_lm_response()`: Extracts `reasoning_content` from the response dict +- Falls back to text-based reasoning for non-reasoning models + +### Tool / ToolCalls (`dspy/adapters/types/tool.py`) + +- Handled in `_call_preprocess`: tools converted to litellm function calling format +- Tool and ToolCalls fields removed from signature before formatting +- In `_call_postprocess`: tool calls from LM response parsed back into `ToolCalls` objects + +--- + +## 8. Adapter Summary Table + +| Adapter | Input Format | Output Format | Fallback | Native Structured | +|---------|-------------|---------------|----------|-------------------| +| **ChatAdapter** | `[[ ## field ## ]]` markers | `[[ ## field ## ]]` markers | Falls back to JSONAdapter on parse error | No | +| **JSONAdapter** | `[[ ## field ## ]]` markers | JSON object | Falls back to `json_object` mode | Yes (OpenAI Structured Outputs) | +| **XMLAdapter** | `...` tags | `...` tags | Inherits ChatAdapter fallback | No | +| **TwoStepAdapter** | Natural language | Second LM call to extract | ChatAdapter for extraction | No | + +--- + +## 9. Key Files + +| File | Role | +|------|------| +| `dspy/adapters/base.py` | Abstract base, pipeline orchestration, demo formatting | +| `dspy/adapters/chat_adapter.py` | Default adapter with `[[ ## ]]` delimiters | +| `dspy/adapters/json_adapter.py` | JSON/structured output adapter | +| `dspy/adapters/xml_adapter.py` | XML tag-based adapter | +| `dspy/adapters/two_step_adapter.py` | Two-LM extraction adapter | +| `dspy/adapters/utils.py` | `format_field_value`, `parse_value`, `translate_field_type`, `serialize_for_json` | +| `dspy/adapters/types/base_type.py` | `Type` base class, multimodal content splitting | +| `dspy/adapters/types/image.py` | Image type with base64 encoding | +| `dspy/adapters/types/reasoning.py` | Native reasoning support | +| `dspy/adapters/types/tool.py` | Native tool calling support | diff --git a/docs/specs/modules/dspy_module_system_reference/06_optimizers.md b/docs/specs/modules/dspy_module_system_reference/06_optimizers.md new file mode 100644 index 00000000..216b8379 --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/06_optimizers.md @@ -0,0 +1,417 @@ +# Optimizers: How They Discover and Modify Modules + +## The Contract + +The implicit contract between an optimizer and a module: + +1. **The module has `Predict` instances as leaf parameters.** Discovered via `named_parameters()` / `named_predictors()`. A module with no Predict instances has nothing to optimize. +2. **Each Predict has a `signature`** with mutable `.instructions` and field `prefix`/`desc`. +3. **Each Predict has a `demos` list** (initially `[]`). The primary optimization lever. +4. **Each Predict has an optional `lm`** attribute. BootstrapFinetune replaces this with a finetuned model. +5. **Running the module records traces** to `settings.trace`. Optimizers read traces to attribute outputs to specific predictors. +6. **Student and teacher must be structurally equivalent.** Same number of predictors, same names, same signatures. +7. **`deepcopy()` and `reset_copy()` produce valid independent copies.** Optimizers always copy before modifying. +8. **`dump_state()` / `load_state()` round-trip the optimized state.** + +--- + +## 1. Module Discovery + +### `named_parameters()` -- What Optimizers See + +```python +# For a program like: +class RAG(dspy.Module): + def __init__(self): + self.retrieve = dspy.Predict("question -> passages") + self.answer = dspy.ChainOfThought("question, passages -> answer") + +# named_parameters() returns: +[ + ("retrieve", ), # self.retrieve IS a Parameter + ("answer.predict", ), # ChainOfThought holds self.predict +] +``` + +### `named_predictors()` -- Convenience Filter + +```python +def named_predictors(self): + from dspy.predict.predict import Predict + return [(name, param) for name, param in self.named_parameters() + if isinstance(param, Predict)] +``` + +Almost every optimizer uses this. Since `Predict` is currently the only `Parameter` subclass, `named_parameters()` and `named_predictors()` return the same things. But the filter makes the intent explicit. + +### `predictor2name` / `name2predictor` Mappings + +Optimizers (especially BootstrapFewShot) build bidirectional maps to connect traces back to predictors: + +```python +# In BootstrapFewShot._prepare_predictor_mappings(): +self.name2predictor = {} +self.predictor2name = {} +for name, predictor in self.student.named_predictors(): + self.name2predictor[name] = predictor + self.predictor2name[id(predictor)] = name +# Same for teacher +``` + +`id(predictor)` is the key -- when a trace records `(predictor_instance, inputs, prediction)`, the optimizer looks up `predictor2name[id(predictor_instance)]` to find which named predictor produced that output. + +--- + +## 2. What Optimizers Modify + +There are exactly **four** things optimizers touch on Predict instances: + +| Property | Type | Modified By | Purpose | +|----------|------|-------------|---------| +| `predictor.demos` | `list[Example]` | BootstrapFewShot, MIPRO, RandomSearch, LabeledFewShot | Few-shot examples prepended to prompt | +| `predictor.signature.instructions` | `str` | COPRO, MIPROv2 | Task instruction text | +| `predictor.signature` field prefixes | `str` | COPRO | Output field prefix text | +| `predictor.lm` | `LM` | BootstrapFinetune, BetterTogether | The language model itself (finetuned) | + +Additionally, `program._compiled = True` is set by most optimizers after compilation. + +--- + +## 3. The `compile()` Interface + +```python +# dspy/teleprompt/teleprompt.py +class Teleprompter: + def compile(self, student: Module, *, + trainset: list[Example], + teacher: Module | None = None, + valset: list[Example] | None = None, + **kwargs) -> Module: +``` + +**The contract**: +- **Input**: An uncompiled `student` Module and a `trainset` of `Example` objects +- **Output**: A modified copy of the student with optimized parameters +- Most optimizers deep-copy or `reset_copy()` the student first -- never mutating the original +- `student._compiled = True` on the returned module +- Same structure, but with modified demos/instructions/lm on its predictors + +--- + +## 4. Tracing -- How Optimizers Observe Execution + +### How Tracing Works + +1. `settings.trace` is a global (thread-local) list, initialized via `dspy.context(trace=[])`. + +2. Every `Predict._forward_postprocess()` appends to this trace: + +```python +def _forward_postprocess(self, completions, signature, **kwargs): + pred = Prediction.from_completions(completions, signature=signature) + if settings.trace is not None and settings.max_trace_size > 0: + trace = settings.trace + if len(trace) >= settings.max_trace_size: + trace.pop(0) + trace.append((self, {**kwargs}, pred)) + # Tuple: (predictor_instance, input_kwargs_dict, prediction_output) + return pred +``` + +3. **Optimizers capture traces** by wrapping execution in a trace context: + +```python +# BootstrapFewShot: +with dspy.context(trace=[]): + prediction = teacher(**example.inputs()) + trace = dspy.settings.trace +# trace is now [(pred1, inputs1, output1), (pred2, inputs2, output2), ...] +``` + +4. **Traces connect predictors to their I/O**: The `predictor_instance` in the tuple lets optimizers map back to named predictors via `predictor2name[id(predictor)]`. + +5. **Metrics can use traces**: Metric functions can accept an optional `trace` parameter: +```python +def my_metric(example, prediction, trace=None): + # Can inspect intermediate steps, not just final output +``` + +--- + +## 5. Key Optimizers + +### BootstrapFewShot (`dspy/teleprompt/bootstrap.py`) + +The foundational optimizer. Populates `demos` on Predict instances by running a teacher and capturing successful traces. + +**Step 1: `compile(student, *, teacher, trainset)`** +```python +def compile(self, student, *, teacher=None, trainset): + self.student = student.reset_copy() # Deep copy + clear all demos + self.teacher = (teacher or student).deepcopy() + self._prepare_predictor_mappings() + self._bootstrap() + self._train() + self.student._compiled = True + return self.student +``` + +**Step 2: `_prepare_predictor_mappings()`** +- Asserts student and teacher have identical structure (same number of predictors, same names) +- Builds `name2predictor` and `predictor2name` for both + +**Step 3: `_bootstrap()` -- Generate Demo Candidates** + +For each training example: +```python +for example in trainset: + with dspy.context(trace=[]): + prediction = self.teacher(**example.inputs()) + trace = dspy.settings.trace + + # Check if the output passes the metric + if self.metric(example, prediction): + # Extract demos from the trace + for predictor, inputs, output in trace: + name = self.predictor2name[id(predictor)] + demo = dspy.Example(augmented=True, **inputs, **output) + self.name2traces[name].append(demo) +``` + +The key mechanism: run the teacher, capture the trace, check the metric, and if it passes, create `Example` objects from each predictor's input/output pair. + +**Step 4: `_train()` -- Assign Demos to Student** + +For each student predictor: +```python +for name, predictor in self.student.named_predictors(): + augmented_demos = self.name2traces[name][:self.max_bootstrapped_demos] + raw_demos = self.raw_demos[name][:self.max_labeled_demos] + predictor.demos = augmented_demos + raw_demos +``` + +`augmented_demos` are the bootstrapped ones (from successful teacher traces). `raw_demos` are unbootstrapped training examples. + +### BootstrapFewShotWithRandomSearch (`dspy/teleprompt/random_search.py`) + +Runs BootstrapFewShot multiple times with different configurations and picks the best: + +```python +# Generates candidate programs with different strategies: +# Seed -3: Zero-shot (reset_copy, no demos) +# Seed -2: Labels only (LabeledFewShot) +# Seed -1: Unshuffled bootstrap +# Seeds 0+: Shuffled bootstrap with random demo count + +# Evaluates each on validation set +# Returns the best-scoring program +# Attaches all candidates as best_program.candidate_programs +``` + +### MIPROv2 (`dspy/teleprompt/mipro_optimizer_v2.py`) + +The most sophisticated optimizer. Jointly optimizes instructions AND demos using Bayesian optimization (Optuna). + +**Three-phase process**: + +**Phase 1: Bootstrap few-shot examples** (`_bootstrap_fewshot_examples`) +- Uses `create_n_fewshot_demo_sets()` which internally runs multiple BootstrapFewShot compilations +- Produces `demo_candidates[i]` -- a list of demo sets for each predictor `i` + +**Phase 2: Propose instruction candidates** (`_propose_instructions`) +- Uses `GroundedProposer` -- an LM-based instruction generator +- Can be program-aware (reads source code), data-aware (summarizes training data), tip-aware (includes prompting tips), fewshot-aware (includes example demos) +- Produces `instruction_candidates[i]` -- a list of instruction strings for each predictor `i` + +**Phase 3: Bayesian optimization** (`_optimize_prompt_parameters`) +```python +# Uses Optuna TPE sampler +for trial in optuna_study: + # For each predictor i: + instruction_idx = trial.suggest_categorical(f"instruction_{i}", range(n_candidates)) + demos_idx = trial.suggest_categorical(f"demos_{i}", range(n_demo_sets)) + + # Apply instruction + updated_sig = predictor.signature.with_instructions( + instruction_candidates[i][instruction_idx] + ) + set_signature(predictor, updated_sig) + + # Apply demos + predictor.demos = demo_candidates[i][demos_idx] + + # Evaluate the assembled program + score = evaluate(program, devset=minibatch) + # Optuna learns which combinations work best +``` + +### COPRO (`dspy/teleprompt/copro_optimizer.py`) + +Pure instruction optimization (no demo manipulation): + +```python +for predictor in program.predictors(): + # Generate candidate instructions using an LM + for breadth iterations: + candidates = generate_instruction_candidates(current_instruction) + + # Evaluate each candidate + for candidate in candidates: + updated_sig = signature.with_instructions(candidate.instruction) + updated_sig = updated_sig.with_updated_fields(last_key, prefix=candidate.prefix) + set_signature(predictor, updated_sig) + score = evaluate(program) + + # Iterate for depth rounds, feeding previous attempts and scores +``` + +Modifies both `signature.instructions` and the last output field's `prefix`. + +### BootstrapFinetune (`dspy/teleprompt/bootstrap_finetune.py`) + +Fundamentally different: modifies **model weights** rather than the prompt. + +**Step 1: `bootstrap_trace_data()`** -- Run teacher on training set with tracing: +```python +for example in trainset: + with dspy.context(trace=[]): + prediction = program(**example.inputs()) + trace = dspy.settings.trace + score = metric(example, prediction) + trace_data.append({example, prediction, trace, score}) +``` + +**Step 2: `_prepare_finetune_data()`** -- Convert traces to training format: +```python +for trace_entry in trace_data: + for pred, inputs, outputs in trace_entry.trace: + # Use the adapter to format as training data + training_example = adapter.format_finetune_data( + signature, demos, inputs, outputs + ) + # This produces chat-format messages suitable for finetuning +``` + +**Step 3: `finetune_lms()`** -- Group predictors by LM, finetune: +```python +# If multitask=True: all predictors sharing an LM get one combined finetune job +finetuned_lm = lm.finetune(train_data, ...) +``` + +**Step 4: Update predictor LMs**: +```python +for predictor in group: + predictor.lm = finetuned_lm +``` + +### BetterTogether (`dspy/teleprompt/bettertogether.py`) + +Composes prompt optimization and weight optimization in a configurable sequence: + +```python +strategy = "p -> w -> p" # prompt, weight, prompt + +# p step: BootstrapFewShotWithRandomSearch +# w step: BootstrapFinetune + +for step in strategy: + if step == "p": + student = prompt_optimizer.compile(student, trainset=trainset) + elif step == "w": + student = weight_optimizer.compile(student, trainset=trainset) + # Reset _compiled=False for next round, preserve LMs +``` + +--- + +## 6. How Evaluate Works + +**File**: `dspy/evaluate/evaluate.py` + +```python +class Evaluate: + def __call__(self, program, metric=None, devset=None, ...) -> EvaluationResult: + def process_item(example): + prediction = program(**example.inputs()) + score = metric(example, prediction) + return prediction, score + + results = executor.execute(process_item, devset) + # results: list of (prediction, score) per example + + ncorrect = sum(score for *_, score in results) + return EvaluationResult( + score=100 * ncorrect / ntotal, + results=results + ) +``` + +- Uses `ParallelExecutor` for multi-threaded evaluation +- For each example: calls `program(**example.inputs())`, then `metric(example, prediction)` +- `EvaluationResult` (subclass of `Prediction`) has `.score` (percentage) and `.results` (list of `(example, prediction, score)`) +- `failure_score` is used when evaluation fails for an example + +--- + +## 7. The Optimization Surface + +Putting it all together, here's what the optimization surface looks like for a typical program: + +```python +class RAG(dspy.Module): + def __init__(self): + self.retrieve = dspy.Predict("question -> passages") + self.answer = dspy.ChainOfThought("question, passages -> answer") +``` + +**Discoverable parameters** (via `named_predictors()`): +1. `"retrieve"` -- Predict with signature `"question -> passages"` +2. `"answer.predict"` -- Predict with signature `"question, passages -> reasoning, answer"` + +**Per-predictor optimization knobs**: + +| Knob | What | Who Modifies | How | +|------|------|-------------|-----| +| `demos` | Few-shot examples | BootstrapFewShot, MIPRO | `predictor.demos = [Example(...), ...]` | +| `signature.instructions` | Task description | COPRO, MIPRO | `signature.with_instructions("...")` | +| Field `prefix` | Output field label | COPRO | `signature.with_updated_fields(name, prefix="...")` | +| Field `desc` | Field description | (rarely modified) | `signature.with_updated_fields(name, desc="...")` | +| `lm` | The language model | BootstrapFinetune | `predictor.lm = finetuned_lm` | + +**What gets saved/loaded**: + +When you `program.save("path.json")`, it serializes: +```json +{ + "retrieve": { + "demos": [...], + "traces": [], + "train": [], + "signature": { + "instructions": "Given the fields `question`, produce the fields `passages`.", + "fields": { + "question": {"prefix": "Question:", "desc": "${question}"}, + "passages": {"prefix": "Passages:", "desc": "${passages}"} + } + }, + "lm": null + }, + "answer.predict": { + "demos": [...], + "traces": [], + "train": [], + "signature": { + "instructions": "Optimized instruction here...", + "fields": { + "question": {"prefix": "Question:", "desc": "${question}"}, + "passages": {"prefix": "Passages:", "desc": "${passages}"}, + "reasoning": {"prefix": "Reasoning:", "desc": "${reasoning}"}, + "answer": {"prefix": "Answer:", "desc": "${answer}"} + } + }, + "lm": null + } +} +``` + +The architecture (which modules exist, how they're connected) comes from code. The optimized state (demos, instructions, field metadata) comes from the saved file. diff --git a/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md b/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md new file mode 100644 index 00000000..4f147274 --- /dev/null +++ b/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md @@ -0,0 +1,315 @@ +# Rust Rewrite Implications + +## What DSPy's Module System Actually Is + +Strip away the Python dynamism and DSPy's module system is: + +1. **A tree of composable nodes** where leaf nodes (Predict) hold optimizable state +2. **A typed I/O contract** (Signature) that describes what goes in and what comes out +3. **A formatting/parsing layer** (Adapter) that converts typed contracts to LM prompts and back +4. **A tree traversal** that lets optimizers discover and modify leaf nodes +5. **A tracing mechanism** that records execution for optimizer feedback + +That's it. Everything else is orchestration (how modules compose Predicts) and strategy (how optimizers search the space). + +--- + +## The Hard Problems + +### 1. Dynamic Signature Manipulation + +In Python, signatures are *classes* created at runtime via metaclass magic. Modules like ChainOfThought do `signature.prepend("reasoning", OutputField(...))` which creates a new type at runtime. + +**In Rust**: Signatures are data, not types. Model them as: + +```rust +struct Signature { + name: String, + instructions: String, + fields: IndexMap, // Ordered map (insertion order matters) +} + +struct Field { + direction: FieldDirection, // Input | Output + type_annotation: TypeAnnotation, + prefix: String, + desc: String, + format: Option String>>, + constraints: Option, +} + +enum FieldDirection { + Input, + Output, +} + +enum TypeAnnotation { + Str, + Int, + Float, + Bool, + List(Box), + Dict(Box, Box), + Optional(Box), + Enum(Vec), + Literal(Vec), + Json(serde_json::Value), // For complex types, store JSON schema +} +``` + +All manipulation methods (`with_instructions`, `prepend`, `append`, `delete`, `with_updated_fields`) return new `Signature` values. This maps cleanly to Rust's ownership model -- signatures are cheap to clone and manipulate. + +### 2. The Parameter Tree Walk + +Python does this by walking `__dict__` and checking `isinstance`. Rust doesn't have runtime reflection. + +**Options**: + +**Option A: Explicit children** (recommended) +```rust +trait Module { + fn forward(&self, inputs: HashMap) -> Result; + fn named_parameters(&self) -> Vec<(String, &dyn Parameter)>; + fn named_sub_modules(&self) -> Vec<(String, &dyn Module)>; +} + +trait Parameter: Module { + fn demos(&self) -> &[Example]; + fn set_demos(&mut self, demos: Vec); + fn signature(&self) -> &Signature; + fn set_signature(&mut self, sig: Signature); + fn dump_state(&self) -> serde_json::Value; + fn load_state(&mut self, state: &serde_json::Value); + fn reset(&mut self); +} +``` + +Each module explicitly returns its children. ChainOfThought returns `[("predict", &self.predict)]`. ReAct returns `[("react", &self.react), ("extract.predict", &self.extract.predict)]`. + +**Option B: Derive macro** +```rust +#[derive(DspyModule)] +struct ChainOfThought { + #[parameter] + predict: Predict, +} +``` + +A proc macro generates `named_parameters()` by inspecting fields marked with `#[parameter]`. + +**Option C: Inventory/registry** -- each module registers itself. More complex, probably overkill. + +**Recommendation**: Start with Option A (explicit). It's simple, correct, and makes the tree structure obvious. Add a derive macro later if the boilerplate becomes painful. + +### 3. The `_compiled` Freeze Flag + +In Python, `_compiled = True` makes `named_parameters()` skip a sub-module. In Rust: + +**Simple approach**: A boolean flag on every module, checked in `named_parameters()`. + +**Type-state approach** (more Rusty): +```rust +struct CompiledModule { + inner: M, + // named_parameters() returns empty vec + // Cannot be modified without explicitly un-compiling +} + +impl Module for CompiledModule { + fn named_parameters(&self) -> Vec<(String, &dyn Parameter)> { + vec![] // Frozen -- parameters are not exposed + } + fn forward(&self, inputs: HashMap) -> Result { + self.inner.forward(inputs) + } +} +``` + +### 4. The Adapter System + +Adapters are the most straightforward part to port. They're essentially: +- Template formatting (building message strings from signature + demos + inputs) +- Regex-based parsing (splitting LM output by `[[ ## field ## ]]` markers) +- Type coercion (parsing strings into typed values) + +```rust +trait Adapter { + fn format(&self, sig: &Signature, demos: &[Example], inputs: &HashMap) -> Vec; + fn parse(&self, sig: &Signature, completion: &str) -> Result>; +} + +struct ChatAdapter; +struct JsonAdapter; +``` + +The fallback pattern (ChatAdapter -> JSONAdapter on parse failure) is just: +```rust +impl Adapter for ChatAdapter { + fn call(&self, lm: &LM, sig: &Signature, demos: &[Example], inputs: &HashMap) -> Result>> { + match self.try_call(lm, sig, demos, inputs) { + Ok(result) => Ok(result), + Err(e) if !e.is_context_window_error() => { + JsonAdapter.call(lm, sig, demos, inputs) + } + Err(e) => Err(e), + } + } +} +``` + +### 5. Tracing + +Python uses a global thread-local list that Predicts append to. In Rust: + +```rust +// Thread-local trace context +thread_local! { + static TRACE: RefCell>> = RefCell::new(None); +} + +struct TraceEntry { + predictor_id: PredictorId, // Not a reference -- an ID for lookup + inputs: HashMap, + prediction: Prediction, +} + +// In Predict::forward: +TRACE.with(|trace| { + if let Some(ref mut trace) = *trace.borrow_mut() { + trace.push(TraceEntry { predictor_id: self.id, inputs, prediction }); + } +}); + +// In optimizer: +let trace = with_trace(|| teacher.forward(example.inputs())); +``` + +Use IDs instead of references. Python uses `id(predictor)` (memory address); Rust should use a stable identifier (UUID, path string, or index). + +### 6. Value Types and Parsing + +DSPy uses Python's dynamic typing + Pydantic for validation. In Rust, you need a value type: + +```rust +enum Value { + Str(String), + Int(i64), + Float(f64), + Bool(bool), + List(Vec), + Dict(HashMap), + Null, + Json(serde_json::Value), // For complex/unknown types +} +``` + +Parsing (`parse_value` equivalent): +```rust +fn parse_value(raw: &str, annotation: &TypeAnnotation) -> Result { + match annotation { + TypeAnnotation::Str => Ok(Value::Str(raw.to_string())), + TypeAnnotation::Int => raw.parse::().map(Value::Int), + TypeAnnotation::Bool => parse_bool(raw), + TypeAnnotation::Enum(variants) => parse_enum(raw, variants), + TypeAnnotation::Literal(allowed) => parse_literal(raw, allowed), + TypeAnnotation::Json(schema) => { + let v: serde_json::Value = serde_json::from_str(raw)?; + // Validate against schema + Ok(Value::Json(v)) + } + // ... + } +} +``` + +--- + +## What to Build First + +### Phase 1: Core Primitives +1. `Signature` struct with manipulation methods +2. `Field` and `TypeAnnotation` +3. `Value` enum for dynamic values +4. `Example` and `Prediction` data containers + +### Phase 2: Module System +1. `Module` trait with `forward()` and `named_parameters()` +2. `Parameter` trait extending Module +3. `Predict` implementing both +4. `BaseModule` trait for tree traversal, serialization + +### Phase 3: Adapter Layer +1. `Adapter` trait +2. `ChatAdapter` (formatting and parsing) +3. `JsonAdapter` +4. `parse_value` for type coercion + +### Phase 4: Composition Modules +1. `ChainOfThought` (signature extension pattern) +2. `ReAct` (multi-signature orchestration pattern) +3. `BestOfN` / `Refine` (module wrapping pattern) + +### Phase 5: Optimization +1. Tracing infrastructure +2. `Evaluate` +3. `BootstrapFewShot` +4. `LabeledFewShot` +5. More complex optimizers as needed + +--- + +## Design Decisions to Make Early + +### 1. Static vs Dynamic Signatures + +Python signatures carry Python types (Pydantic models, etc.). Rust signatures will need to decide: +- **Fully dynamic** (`TypeAnnotation` enum + `Value` enum) -- flexible, similar to Python, but loses Rust's type safety +- **Partially typed** (generics for common cases, `Value` for complex) -- more Rusty but more complex +- **Schema-driven** (JSON Schema as the universal type description) -- pragmatic, works with any LM + +**Recommendation**: Start fully dynamic. The type safety that matters here is at the *LM boundary* (parsing), not at compile time. You're dealing with strings from an LM no matter what. + +### 2. Ownership of Demos and Signatures + +In Python, optimizers freely mutate `predictor.demos` and `predictor.signature`. In Rust: +- **Mutable references**: Optimizers take `&mut` references to the program +- **Interior mutability**: Use `RefCell>` for demos +- **Clone + replace**: Clone the whole program, modify the clone, return it (matches Python's `reset_copy()` pattern) + +**Recommendation**: Clone + replace. It matches the Python pattern where optimizers always copy the student first, and it avoids fighting the borrow checker. + +### 3. Async vs Sync + +LM calls are inherently async (HTTP requests). The question is whether `forward()` should be async. + +**Recommendation**: Make it async from the start. `async fn forward(&self, ...) -> Result`. Easier than retrofitting later. + +### 4. Error Types + +DSPy uses `AdapterParseError`, `ContextWindowExceededError`, and generic exceptions. Design a clean error enum: + +```rust +enum DspyError { + ParseError { adapter: String, raw: String, partial: HashMap }, + ContextWindowExceeded { model: String, token_count: usize }, + MissingInput { field: String }, + LmError(Box), + // ... +} +``` + +--- + +## What NOT to Port + +1. **The metaclass machinery** (`ProgramMeta`, `SignatureMeta`). These exist to paper over Python's limitations. Rust structs with derive macros are cleaner. + +2. **`magicattr`** (AST-based nested attribute access). In Rust, named_parameters returns paths; use them to index directly. + +3. **`__getattribute__` forward-call guard**. In Rust, make `forward()` private and only expose `call()`. + +4. **Dynamic `__dict__` walking**. Replace with explicit trait implementations. + +5. **`cloudpickle` serialization**. Use `serde` with JSON/MessagePack. The "save whole program" feature is Python-specific. + +6. **The Settings singleton**. Use explicit context passing or a structured configuration type. diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index 71e25a88..d88fe3b4 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -57,7 +57,7 @@ | **F1** | **Signature trait + derive macro** — `#[derive(Signature)]` on a struct with `#[input]`/`#[output]` fields generates `Input`/`Output` helper types, implements `Signature` trait. Supports generic type parameters and `#[flatten]` for composition. Doc comments become LM instructions/descriptions. | | | **F2** | **SignatureSchema (Facet-derived, cached)** — `SignatureSchema::of::()` walks `S::Input` and `S::Output` Facet Shapes to produce an ordered flat field list with TypeIR, docs, constraints, and flatten paths. Cached in `OnceLock`. Used by adapter for prompt formatting/parsing AND by dynamic graph for edge validation. Replaces macro-emitted `FieldSpec` arrays. | | | **F3** | **Augmentation derive + combinator** — `#[derive(Augmentation)]` on a small struct (e.g. `Reasoning { reasoning: String }`) generates: a wrapper type (`WithReasoning`) with `#[flatten]` on inner + `Deref` to inner, and the `Augmentation` trait impl. `Augmented` is a generic signature combinator (same input, wrapped output). Eliminates per-augmentation signature boilerplate. | | -| **F4** | **Module trait** — `trait Module { type Input; type Output; async fn forward(&self, input) -> Result }`. All prompting strategies implement this: `Predict`, `ChainOfThought`, `ReAct`, `BestOfN`, `Refine`, user-defined modules. This is the swapping/composition interface. | | +| **F4** | **Module trait** — `trait Module { type Input; type Output; async fn forward(&self, input) -> CallOutcome }`. `CallOutcome` is the single return surface (result + metadata), with trait-based ergonomics for `?`-style consumption so there is no parallel convenience API. All prompting strategies implement this: `Predict`, `ChainOfThought`, `ReAct`, `BestOfN`, `Refine`, user-defined modules. This is the swapping/composition interface. | | | **F5** | **Predict as leaf parameter** — `Predict` holds typed demos `Vec>`, optional instruction override, tools. Only thing that calls the LM. Marked with Facet attribute `dsrs::parameter` for automatic discovery. Implements both `Module` and `DynPredictor` (type-erased optimizer interface). | | | **F6** | **Facet-powered parameter discovery** — A walker reflects over any `Facet` value, recurses through struct fields, yields `(dotted_path, &dyn DynPredictor)` for every value whose Shape carries `dsrs::parameter`. No manual traversal code. Replaces `#[derive(Optimizable)]` + `#[parameter]`. Container traversal (`Option`/`Vec`/`HashMap`/`Box`) is deferred (S5) — struct-field recursion covers all V1 library modules. | | | **F7** | **Adapter building blocks** — ChatAdapter exposes public composable functions: `build_system()`, `format_input()`, `parse_sections()`, `parse_output()`. Modules that need fine-grained control (ReAct action loop) call these directly. Standard modules go through the high-level `format_system_message_typed::()` which calls building blocks internally. All operate on `SignatureSchema` (F2). | | From 06f7ba0302f6baf4bfca9ef75699b10eef7048d4 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 01:45:53 -0800 Subject: [PATCH 04/22] slice3: implement module authoring syntax and schema helpers --- crates/dspy-rs/examples/01-simple.rs | 133 +++++--- .../02-module-iteration-and-updation.rs | 45 ++- .../dspy-rs/examples/03-evaluate-hotpotqa.rs | 25 +- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 25 +- .../examples/06-other-providers-batch.rs | 59 +++- crates/dspy-rs/examples/07-inspect-history.rs | 25 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 24 +- crates/dspy-rs/examples/09-gepa-sentiment.rs | 19 +- crates/dspy-rs/examples/10-gepa-llm-judge.rs | 24 +- crates/dspy-rs/examples/12-tracing.rs | 47 ++- .../92-smoke-slice3-module-authoring.rs | 63 ++++ crates/dspy-rs/src/adapter/chat.rs | 125 ++++++-- crates/dspy-rs/src/augmentation.rs | 10 - crates/dspy-rs/src/core/module.rs | 136 ++++---- crates/dspy-rs/src/core/signature.rs | 20 -- crates/dspy-rs/src/evaluate/evaluator.rs | 33 +- .../dspy-rs/src/modules/chain_of_thought.rs | 16 +- crates/dspy-rs/src/optimizer/gepa.rs | 10 +- crates/dspy-rs/src/optimizer/mod.rs | 3 +- crates/dspy-rs/src/predictors/predict.rs | 73 +---- crates/dsrs-macros/src/lib.rs | 294 +++++++++++------- crates/dsrs-macros/tests/signature_derive.rs | 101 +++--- 22 files changed, 851 insertions(+), 459 deletions(-) create mode 100644 crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs diff --git a/crates/dspy-rs/examples/01-simple.rs b/crates/dspy-rs/examples/01-simple.rs index f679f0c1..3917c906 100644 --- a/crates/dspy-rs/examples/01-simple.rs +++ b/crates/dspy-rs/examples/01-simple.rs @@ -15,7 +15,10 @@ cargo run --example 01-simple use anyhow::Result; use bon::Builder; -use dspy_rs::{ChatAdapter, Example, LM, Module, Predict, Prediction, configure, init_tracing}; +use dspy_rs::{ + CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Demo, Example, LM, LmError, + Module, Predict, Prediction, configure, init_tracing, +}; const QA_INSTRUCTION: &str = "Answer the question step by step."; const RATE_INSTRUCTION: &str = "Rate the answer on a scale of 1 (very bad) to 10 (very good)."; @@ -55,39 +58,70 @@ pub struct QARater { } impl Module for QARater { - async fn forward(&self, inputs: Example) -> Result { - // Step 1: Get the answer using the typed predictor - // Module::forward converts Example -> typed input automatically - let answerer_prediction = self.answerer.forward(inputs.clone()).await?; - - // Extract values from the prediction - let question = inputs.data.get("question").unwrap().clone(); - let answer = answerer_prediction.data.get("answer").unwrap().clone(); - let reasoning = answerer_prediction.data.get("reasoning").unwrap().clone(); - - // Step 2: Create input for the rater - // We can use the typed input struct directly with call() for cleaner code - let rate_input = RateInput { - question: question.to_string(), - answer: answer.to_string(), + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + // Step 1: Convert module input into typed predictor input. + let question = match inputs.data.get("question").and_then(|value| value.as_str()) { + Some(question) => question.to_string(), + None => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "QARater".to_string(), + message: "missing required string field `question`".to_string(), + source: None, + }), + CallMetadata::default(), + ); + } }; - // Use call() for typed access to the result - let rate_result = self.rater.call(rate_input).await?; + let answer_outcome = self + .answerer + .call(QAInput { + question: question.clone(), + }) + .await; + let answer_usage = answer_outcome.metadata().lm_usage.clone(); + let answerer_prediction = match answer_outcome.into_result() { + Ok(output) => output, + Err(err) => return CallOutcome::err(err.kind, err.metadata), + }; + + // Step 2: Rate the generated answer. + let rate_outcome = self + .rater + .call(RateInput { + question: question.clone(), + answer: answerer_prediction.answer.clone(), + }) + .await; + let rate_usage = rate_outcome.metadata().lm_usage.clone(); + let rate_result = match rate_outcome.into_result() { + Ok(output) => output, + Err(err) => return CallOutcome::err(err.kind, err.metadata), + }; - // Step 3: Compose the final prediction with all fields + // Step 3: Compose the final untyped prediction for module consumers. let mut combined = Prediction { - lm_usage: answerer_prediction.lm_usage.clone(), + lm_usage: answer_usage + rate_usage, ..Prediction::default() }; - combined.data.insert("question".into(), question); - combined.data.insert("reasoning".into(), reasoning); - combined.data.insert("answer".into(), answer); + combined + .data + .insert("question".into(), question.clone().into()); + combined + .data + .insert("reasoning".into(), answerer_prediction.reasoning.into()); + combined + .data + .insert("answer".into(), answerer_prediction.answer.into()); combined .data .insert("rating".into(), rate_result.rating.into()); - Ok(combined) + CallOutcome::ok(combined, CallMetadata::default()) } } @@ -114,16 +148,16 @@ async fn main() -> Result<()> { }; // call() returns the typed output struct - let output: QA = predict.call(input.clone()).await?; - println!("Question: {}", output.question); + let output = predict.call(input.clone()).await.into_result()?; + println!("Question: {}", input.question); println!("Reasoning: {}", output.reasoning); println!("Answer: {}", output.answer); - // call_with_meta() returns CallResult with metadata - let result = predict.call_with_meta(input).await?; + // CallOutcome carries both typed output and metadata. + let result = predict.call(input).await; println!("\nWith metadata:"); - println!(" Raw 'answer' field: {:?}", result.field_raw("answer")); - println!(" Token usage: {:?}", result.lm_usage); + println!(" Raw 'answer' field: {:?}", result.metadata().field_raw("answer")); + println!(" Token usage: {:?}", result.metadata().lm_usage); // ========================================================================= // Example 2: Module composition (for complex pipelines) @@ -138,7 +172,7 @@ async fn main() -> Result<()> { .data .insert("question".into(), "Why is the sky blue?".into()); - let prediction = qa_rater.forward(example).await?; + let prediction = qa_rater.forward(example).await.into_result()?; println!("Composed pipeline result:"); println!(" Question: {}", prediction.data.get("question").unwrap()); println!(" Reasoning: {}", prediction.data.get("reasoning").unwrap()); @@ -152,26 +186,37 @@ async fn main() -> Result<()> { let predict_with_demos = Predict::::builder() .instruction(QA_INSTRUCTION) - .demo(QA { - question: "What is 2+2?".to_string(), - reasoning: "2+2 is a basic arithmetic operation. Adding 2 to 2 gives 4.".to_string(), - answer: "4".to_string(), - }) - .demo(QA { - question: "What color is grass?".to_string(), - reasoning: "Grass contains chlorophyll which reflects green light.".to_string(), - answer: "Green".to_string(), - }) + .demo(Demo::new( + QAInput { + question: "What is 2+2?".to_string(), + }, + __QAOutput { + reasoning: + "2+2 is a basic arithmetic operation. Adding 2 to 2 gives 4.".to_string(), + answer: "4".to_string(), + }, + )) + .demo(Demo::new( + QAInput { + question: "What color is grass?".to_string(), + }, + __QAOutput { + reasoning: "Grass contains chlorophyll which reflects green light.".to_string(), + answer: "Green".to_string(), + }, + )) .build(); + let demo_question = "What is the largest planet in our solar system?".to_string(); let output = predict_with_demos .call(QAInput { - question: "What is the largest planet in our solar system?".to_string(), + question: demo_question.clone(), }) - .await?; + .await + .into_result()?; println!("With few-shot demos:"); - println!(" Question: {}", output.question); + println!(" Question: {}", demo_question); println!(" Reasoning: {}", output.reasoning); println!(" Answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index cfff9fb5..0a4ab725 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -9,11 +9,10 @@ cargo run --example 02-module-iteration-and-updation #![allow(deprecated)] -use anyhow::Result; use bon::Builder; use dspy_rs::{ - Example, LegacyPredict, LegacySignature, Module, Optimizable, Prediction, Predictor, hashmap, - init_tracing, prediction, + CallMetadata, CallOutcome, CallOutcomeErrorKind, Example, LegacyPredict, LegacySignature, + LmError, Module, Optimizable, Prediction, Predictor, hashmap, init_tracing, prediction, }; #[LegacySignature(cot)] @@ -66,8 +65,23 @@ pub struct NestedModule { } impl Module for QARater { - async fn forward(&self, inputs: Example) -> Result { - let answerer_prediction = self.answerer.forward(inputs.clone()).await?; + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + let answerer_prediction = match self.answerer.forward(inputs.clone()).await { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ); + } + }; let question = inputs.data.get("question").unwrap().clone(); let answer = answerer_prediction.data.get("answer").unwrap().clone(); @@ -80,13 +94,28 @@ impl Module for QARater { vec!["answer".to_string(), "question".to_string()], vec![], ); - let rating_prediction = self.rater.forward(inputs).await?; - Ok(prediction! { + let rating_prediction = match self.rater.forward(inputs).await { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ); + } + }; + CallOutcome::ok( + prediction! { "answer"=> answer, "question"=> question, "rating"=> rating_prediction.data.get("rating").unwrap().clone(), } - .set_lm_usage(rating_prediction.lm_usage)) + .set_lm_usage(rating_prediction.lm_usage), + CallMetadata::default(), + ) } } diff --git a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs index a41704d0..8634914c 100644 --- a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs +++ b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs @@ -9,11 +9,11 @@ cargo run --example 03-evaluate-hotpotqa --features dataloaders Note: The `dataloaders` feature is required for loading datasets. */ -use anyhow::Result; use bon::Builder; use dspy_rs::{ - ChatAdapter, Evaluator, Example, LM, LegacyPredict, LegacySignature, Module, Optimizable, - Prediction, Predictor, configure, init_tracing, + CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Evaluator, Example, LM, + LegacyPredict, LegacySignature, LmError, Module, Optimizable, Prediction, Predictor, configure, + init_tracing, }; use dspy_rs::DataLoader; @@ -37,10 +37,21 @@ pub struct QARater { } impl Module for QARater { - async fn forward(&self, inputs: Example) -> Result { - let answerer_prediction = self.answerer.forward(inputs.clone()).await?; - - Ok(answerer_prediction) + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + match self.answerer.forward(inputs).await { + Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), + Err(err) => CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ), + } } } diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index 14fc500b..c5eafc17 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -9,11 +9,11 @@ cargo run --example 04-optimize-hotpotqa --features dataloaders Note: The `dataloaders` feature is required for loading datasets. */ -use anyhow::Result; use bon::Builder; use dspy_rs::{ - COPRO, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, LegacySignature, Module, - Optimizable, Optimizer, Prediction, Predictor, configure, init_tracing, + COPRO, CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, DataLoader, Evaluator, + Example, LM, LegacyPredict, LegacySignature, LmError, Module, Optimizable, Optimizer, + Prediction, Predictor, configure, init_tracing, }; #[LegacySignature(cot)] @@ -35,10 +35,21 @@ pub struct QARater { } impl Module for QARater { - async fn forward(&self, inputs: Example) -> Result { - let answerer_prediction = self.answerer.forward(inputs.clone()).await?; - - Ok(answerer_prediction) + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + match self.answerer.forward(inputs).await { + Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), + Err(err) => CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ), + } } } diff --git a/crates/dspy-rs/examples/06-other-providers-batch.rs b/crates/dspy-rs/examples/06-other-providers-batch.rs index 7b7b74e1..8e34e03b 100644 --- a/crates/dspy-rs/examples/06-other-providers-batch.rs +++ b/crates/dspy-rs/examples/06-other-providers-batch.rs @@ -12,8 +12,9 @@ cargo run --example 01-simple use anyhow::Result; use bon::Builder; use dspy_rs::{ - ChatAdapter, Example, LM, LegacyPredict, LegacySignature, Module, Prediction, Predictor, - configure, example, hashmap, init_tracing, prediction, + CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Example, LM, LegacyPredict, + LegacySignature, LmError, Module, Prediction, Predictor, configure, example, forward_all, + hashmap, init_tracing, prediction, }; #[LegacySignature(cot)] @@ -48,8 +49,23 @@ pub struct QARater { } impl Module for QARater { - async fn forward(&self, inputs: Example) -> Result { - let answerer_prediction = self.answerer.forward(inputs.clone()).await?; + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + let answerer_prediction = match self.answerer.forward(inputs.clone()).await { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ); + } + }; let question = inputs.data.get("question").unwrap().clone(); let answer = answerer_prediction.data.get("answer").unwrap().clone(); @@ -63,15 +79,30 @@ impl Module for QARater { vec!["answer".to_string(), "question".to_string()], vec![], ); - let rating_prediction = self.rater.forward(inputs).await?; + let rating_prediction = match self.rater.forward(inputs).await { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ); + } + }; let rating_lm_usage = rating_prediction.lm_usage; - Ok(prediction! { + CallOutcome::ok( + prediction! { "answer"=> answer, "question"=> question, "rating"=> rating_prediction.data.get("rating").unwrap().clone(), } - .set_lm_usage(answer_lm_usage + rating_lm_usage)) + .set_lm_usage(answer_lm_usage + rating_lm_usage), + CallMetadata::default(), + ) } } @@ -102,7 +133,12 @@ async fn main() { ]; let qa_rater = QARater::builder().build(); - let prediction = qa_rater.batch(example.clone(), 2, true).await.unwrap(); + let prediction = forward_all(&qa_rater, example.clone(), 2) + .await + .into_iter() + .map(|outcome| outcome.into_result()) + .collect::, _>>() + .unwrap(); println!("Anthropic: {prediction:?}"); // Gemini @@ -115,6 +151,11 @@ async fn main() { ChatAdapter, ); - let prediction = qa_rater.batch(example, 2, true).await.unwrap(); + let prediction = forward_all(&qa_rater, example, 2) + .await + .into_iter() + .map(|outcome| outcome.into_result()) + .collect::, _>>() + .unwrap(); println!("Gemini: {prediction:?}"); } diff --git a/crates/dspy-rs/examples/07-inspect-history.rs b/crates/dspy-rs/examples/07-inspect-history.rs index 90d3ab0e..410e83ac 100644 --- a/crates/dspy-rs/examples/07-inspect-history.rs +++ b/crates/dspy-rs/examples/07-inspect-history.rs @@ -9,11 +9,11 @@ cargo run --example 07-inspect-history #![allow(deprecated)] -use anyhow::Result; use bon::Builder; use dspy_rs::{ - ChatAdapter, Example, LM, LegacyPredict, LegacySignature, Module, Prediction, Predictor, - configure, example, get_lm, init_tracing, + CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Example, LM, LegacyPredict, + LegacySignature, LmError, Module, Prediction, Predictor, configure, example, get_lm, + init_tracing, }; #[LegacySignature] @@ -31,8 +31,21 @@ pub struct QARater { } impl Module for QARater { - async fn forward(&self, inputs: Example) -> Result { - return self.answerer.forward(inputs.clone()).await; + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + match self.answerer.forward(inputs).await { + Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), + Err(err) => CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ), + } } } @@ -52,7 +65,7 @@ async fn main() { }; let qa_rater = QARater::builder().build(); - let prediction = qa_rater.forward(example.clone()).await.unwrap(); + let prediction = qa_rater.forward(example.clone()).await.into_result().unwrap(); println!("Prediction: {prediction:?}"); let history = get_lm().inspect_history(1).await; diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index 42a14abe..32a51117 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -22,8 +22,9 @@ Note: The `dataloaders` feature is required for loading datasets. use anyhow::Result; use bon::Builder; use dspy_rs::{ - ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, LegacySignature, MIPROv2, - Module, Optimizable, Optimizer, Prediction, Predictor, configure, example, init_tracing, + CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, DataLoader, Evaluator, Example, + LM, LegacyPredict, LegacySignature, LmError, MIPROv2, Module, Optimizable, Optimizer, + Prediction, Predictor, configure, example, init_tracing, }; #[LegacySignature] @@ -45,8 +46,21 @@ pub struct SimpleQA { } impl Module for SimpleQA { - async fn forward(&self, inputs: Example) -> Result { - self.answerer.forward(inputs).await + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + match self.answerer.forward(inputs).await { + Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), + Err(err) => CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ), + } } } @@ -168,7 +182,7 @@ async fn main() -> Result<()> { "question": "input" => "What is the capital of France?", }; - let result = qa_module.forward(test_example).await?; + let result = qa_module.forward(test_example).await.into_result()?; println!("Question: What is the capital of France?"); println!("Answer: {}", result.get("answer", None)); diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index e179d9ca..a0052c64 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -37,8 +37,21 @@ struct SentimentAnalyzer { } impl Module for SentimentAnalyzer { - async fn forward(&self, inputs: Example) -> Result { - self.predictor.forward(inputs).await + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + match self.predictor.forward(inputs).await { + Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), + Err(err) => CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ), + } } } @@ -221,7 +234,7 @@ async fn main() -> Result<()> { "expected_sentiment": "input" => "positive" }; - let test_prediction = module.forward(test_example.clone()).await?; + let test_prediction = module.forward(test_example.clone()).await.into_result()?; let test_feedback = module .feedback_metric(&test_example, &test_prediction) .await; diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index 75fddcb8..23c3d13d 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -78,9 +78,22 @@ struct MathSolver { } impl Module for MathSolver { - async fn forward(&self, inputs: Example) -> Result { - // Just forward to the solver - judge only used during evaluation - self.solver.forward(inputs).await + type Input = Example; + type Output = Prediction; + + async fn forward(&self, inputs: Example) -> CallOutcome { + // Just forward to the solver - judge only used during evaluation. + match self.solver.forward(inputs).await { + Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), + Err(err) => CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ), + } } } @@ -326,7 +339,10 @@ async fn main() -> Result<()> { "expected_answer": "input" => "2" }; - let test_prediction = module.forward(test_problem.clone()).await?; + let test_prediction = module + .forward(test_problem.clone()) + .await + .into_result()?; let test_feedback = module .feedback_metric(&test_problem, &test_prediction) .await; diff --git a/crates/dspy-rs/examples/12-tracing.rs b/crates/dspy-rs/examples/12-tracing.rs index 84f91e64..fea05248 100644 --- a/crates/dspy-rs/examples/12-tracing.rs +++ b/crates/dspy-rs/examples/12-tracing.rs @@ -3,8 +3,9 @@ use anyhow::Result; use bon::Builder; use dspy_rs::{ - ChatAdapter, LM, LegacyPredict, LegacySignature, Module, Prediction, Predictor, configure, - example, init_tracing, prediction, + CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, LM, LegacyPredict, + LegacySignature, LmError, Module, Prediction, Predictor, configure, example, init_tracing, + prediction, trace::{self, IntoTracked}, }; @@ -35,8 +36,23 @@ pub struct QARater { } impl Module for QARater { - async fn forward(&self, inputs: dspy_rs::Example) -> Result { - let answerer_prediction = self.answerer.forward(inputs.clone()).await?; + type Input = dspy_rs::Example; + type Output = Prediction; + + async fn forward(&self, inputs: dspy_rs::Example) -> CallOutcome { + let answerer_prediction = match self.answerer.forward(inputs.clone()).await { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ); + } + }; // We use .get_tracked() to preserve lineage info let question = inputs.data.get("question").unwrap().clone().into_tracked(); // Input passed through @@ -49,15 +65,30 @@ impl Module for QARater { "answer": "input" => answer.clone() }; - let rating_prediction = self.rater.forward(inputs).await?; + let rating_prediction = match self.rater.forward(inputs).await { + Ok(prediction) => prediction, + Err(err) => { + return CallOutcome::err( + CallOutcomeErrorKind::Lm(LmError::Provider { + provider: "legacy_predict".to_string(), + message: err.to_string(), + source: None, + }), + CallMetadata::default(), + ); + } + }; // Final output - Ok(prediction! { + CallOutcome::ok( + prediction! { "answer"=> answer.value, "question"=> question.value, "rating"=> rating_prediction.data.get("rating").unwrap().clone(), } - .set_lm_usage(rating_prediction.lm_usage)) + .set_lm_usage(rating_prediction.lm_usage), + CallMetadata::default(), + ) } } @@ -83,7 +114,7 @@ async fn main() -> Result<()> { println!("Starting trace..."); let (result, graph) = trace::trace(|| async { module.forward(example).await }).await; - match result { + match result.into_result() { Ok(pred) => println!("Prediction keys: {:?}", pred.data.keys()), Err(e) => println!("Error (expected if no API key/network): {}", e), } diff --git a/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs b/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs new file mode 100644 index 00000000..57ea1006 --- /dev/null +++ b/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs @@ -0,0 +1,63 @@ +use anyhow::{Result, bail}; +use dspy_rs::{CallOutcome, ChatAdapter, LM, Module, Predict, Signature, configure}; + +#[derive(Signature, Clone, Debug)] +struct SmokeSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +struct SmokeModule { + inner: Predict, +} + +impl SmokeModule { + fn new() -> Self { + Self { + inner: Predict::::new(), + } + } +} + +impl Module for SmokeModule { + type Input = ::Input; + type Output = ::Output; + + async fn forward(&self, input: Self::Input) -> CallOutcome { + self.inner.call(input).await + } +} + +#[tokio::main] +async fn main() -> Result<()> { + // Smoke Label: Slice 3 Module Authoring + configure( + LM::builder() + .model("openai:gpt-5.2".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let module = SmokeModule::new(); + let input = SmokeSigInput { + prompt: "Reply with exactly: smoke-ok".to_string(), + }; + + let output = module.forward(input).await.into_result().map_err(|err| { + eprintln!("smoke call failed: {}", err.kind); + eprintln!("raw_response: {:?}", err.metadata.raw_response); + anyhow::anyhow!("slice3 smoke failed") + })?; + + println!("answer: {}", output.answer); + + if !output.answer.to_ascii_lowercase().contains("smoke-ok") { + bail!("unexpected answer content: {}", output.answer); + } + + Ok(()) +} diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 0324ced1..490e04c0 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -192,11 +192,11 @@ fn format_schema_for_prompt(schema: &str) -> String { } impl ChatAdapter { - fn format_task_description_typed( + fn format_task_description_schema( &self, + schema: &crate::SignatureSchema, instruction_override: Option<&str>, ) -> String { - let schema = S::schema(); let instruction = instruction_override.unwrap_or(schema.instruction()); let instruction = if instruction.is_empty() { let input_fields = schema @@ -226,8 +226,17 @@ impl ChatAdapter { format!("In adhering to this structure, your objective is: {indented}") } - fn format_response_instructions_typed(&self) -> String { - let schema = S::schema(); + fn format_task_description_typed( + &self, + instruction_override: Option<&str>, + ) -> String { + self.format_task_description_schema(S::schema(), instruction_override) + } + + fn format_response_instructions_schema( + &self, + schema: &crate::SignatureSchema, + ) -> String { let mut output_fields = schema.output_fields().iter(); let Some(first_field) = output_fields.next() else { return "Respond with the marker for `[[ ## completed ## ]]`.".to_string(); @@ -245,6 +254,10 @@ impl ChatAdapter { message } + fn format_response_instructions_typed(&self) -> String { + self.format_response_instructions_schema(S::schema()) + } + fn get_field_attribute_list( &self, field_iter: impl Iterator, @@ -443,28 +456,37 @@ impl ChatAdapter { pub fn format_system_message_typed_with_instruction( &self, instruction_override: Option<&str>, + ) -> Result { + self.build_system(S::schema(), instruction_override) + } + + pub fn build_system( + &self, + schema: &crate::SignatureSchema, + instruction_override: Option<&str>, ) -> Result { let parts = [ - self.format_field_descriptions_typed::(), - self.format_field_structure_typed::()?, - self.format_response_instructions_typed::(), - self.format_task_description_typed::(instruction_override), + self.format_field_descriptions_schema(schema), + self.format_field_structure_schema(schema)?, + self.format_response_instructions_schema(schema), + self.format_task_description_schema(schema, instruction_override), ]; let system = parts.join("\n\n"); - trace!(system_len = system.len(), "formatted typed system prompt"); + trace!(system_len = system.len(), "formatted schema system prompt"); Ok(system) } - fn format_field_descriptions_typed(&self) -> String { - let schema = S::schema(); - let input_format = ::baml_output_format(); + fn format_field_descriptions_schema( + &self, + schema: &crate::SignatureSchema, + ) -> String { let output_format = schema.output_format(); let mut lines = Vec::new(); lines.push("Your input fields are:".to_string()); for (i, field) in schema.input_fields().iter().enumerate() { - let type_name = render_type_name_for_prompt(&field.type_ir, Some(input_format)); + let type_name = render_type_name_for_prompt(&field.type_ir, None); let mut line = format!("{}. `{}` ({type_name})", i + 1, field.lm_name); if !field.docs.is_empty() { line.push_str(": "); @@ -488,8 +510,14 @@ impl ChatAdapter { lines.join("\n") } - fn format_field_structure_typed(&self) -> Result { - let schema = S::schema(); + fn format_field_descriptions_typed(&self) -> String { + self.format_field_descriptions_schema(S::schema()) + } + + fn format_field_structure_schema( + &self, + schema: &crate::SignatureSchema, + ) -> Result { let mut lines = vec![ "All interactions will be structured in the following way, with the appropriate values filled in.".to_string(), String::new(), @@ -518,17 +546,30 @@ impl ChatAdapter { } lines.push("[[ ## completed ## ]]".to_string()); - Ok(lines.join("\n")) } + fn format_field_structure_typed(&self) -> Result { + self.format_field_structure_schema(S::schema()) + } + pub fn format_user_message_typed(&self, input: &S::Input) -> String where S::Input: BamlType, { - let schema = S::schema(); + self.format_input(S::schema(), input) + } + + pub fn format_input( + &self, + schema: &crate::SignatureSchema, + input: &I, + ) -> String + where + I: BamlType + for<'a> facet::Facet<'a>, + { let baml_value = input.to_baml_value(); - let input_output_format = ::baml_output_format(); + let input_output_format = ::baml_output_format(); let mut result = String::new(); for field_spec in schema.input_fields() { @@ -550,7 +591,17 @@ impl ChatAdapter { where S::Output: BamlType, { - let schema = S::schema(); + self.format_output(S::schema(), output) + } + + pub fn format_output( + &self, + schema: &crate::SignatureSchema, + output: &O, + ) -> String + where + O: BamlType + for<'a> facet::Facet<'a>, + { let baml_value = output.to_baml_value(); let mut sections = Vec::new(); @@ -596,7 +647,18 @@ impl ChatAdapter { &self, response: &Message, ) -> std::result::Result<(S::Output, IndexMap), ParseError> { - let schema = S::schema(); + self.parse_output_with_meta::(S::schema(), response) + } + + #[allow(clippy::result_large_err)] + pub fn parse_output_with_meta( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result<(O, IndexMap), ParseError> + where + O: BamlType + for<'a> facet::Facet<'a>, + { let content = response.content(); let output_format = schema.output_format(); let sections = parse_sections(&content); @@ -734,15 +796,15 @@ impl ChatAdapter { None } else { Some(BamlValue::Class( - ::baml_internal_name().to_string(), + ::baml_internal_name().to_string(), output_map, )) }; return Err(ParseError::Multiple { errors, partial }); } - let typed_output = ::try_from_baml_value(BamlValue::Class( - ::baml_internal_name().to_string(), + let typed_output = ::try_from_baml_value(BamlValue::Class( + ::baml_internal_name().to_string(), output_map, )) .map_err(|err| ParseError::ExtractionFailed { @@ -758,6 +820,23 @@ impl ChatAdapter { Ok((typed_output, metas)) } + #[allow(clippy::result_large_err)] + pub fn parse_output( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result + where + O: BamlType + for<'a> facet::Facet<'a>, + { + let (output, _) = self.parse_output_with_meta::(schema, response)?; + Ok(output) + } + + pub fn parse_sections(content: &str) -> IndexMap { + crate::adapter::chat::parse_sections(content) + } + pub fn parse_response_with_schema( &self, response: Message, diff --git a/crates/dspy-rs/src/augmentation.rs b/crates/dspy-rs/src/augmentation.rs index 81bba3ba..227d2c42 100644 --- a/crates/dspy-rs/src/augmentation.rs +++ b/crates/dspy-rs/src/augmentation.rs @@ -37,16 +37,6 @@ impl Signature for Augmented { fn output_field_metadata() -> &'static [crate::FieldMetadataSpec] { S::output_field_metadata() } - - #[allow(deprecated)] - fn input_fields() -> &'static [crate::FieldSpec] { - S::input_fields() - } - - #[allow(deprecated)] - fn output_fields() -> &'static [crate::FieldSpec] { - S::output_fields() - } } impl Augmentation for (A, B) { diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index e7c6a969..98dbc08f 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -1,93 +1,77 @@ -use anyhow::Result; use futures::stream::{self, StreamExt}; use indexmap::IndexMap; use kdam::{BarExt, tqdm}; use tracing::debug; -use crate::{ - BamlValue, CallMetadata, CallOutcome, CallOutcomeErrorKind, ConversionError, Example, - Prediction, core::MetaSignature, -}; +use crate::{CallOutcome, core::MetaSignature}; #[allow(async_fn_in_trait)] pub trait Module: Send + Sync { - async fn forward(&self, inputs: Example) -> CallOutcome; + type Input: Send + Sync + 'static; + type Output: Send + Sync + 'static; - async fn forward_untyped(&self, input: BamlValue) -> CallOutcome { - CallOutcome::err( - CallOutcomeErrorKind::Conversion( - ConversionError::TypeMismatch { - expected: "typed module", - actual: "legacy module".to_string(), - }, - input, - ), - CallMetadata::default(), - ) - } - - #[tracing::instrument( - name = "dsrs.batch", - level = "debug", - skip(self, inputs), - fields( - total_inputs = inputs.len(), - max_concurrency, - display_progress - ) - )] - async fn batch( - &self, - inputs: Vec, - max_concurrency: usize, - display_progress: bool, - ) -> Result> { - let total = inputs.len(); - let mut pb = if display_progress { - Some(tqdm!(total = total, desc = "Processing")) - } else { - None - }; + async fn forward(&self, input: Self::Input) -> CallOutcome; +} - // Pair each input with its index to maintain order - let indexed_results: Vec<(usize, Result)> = - stream::iter(inputs.into_iter().enumerate()) - .map(|(idx, example)| async move { - let result = self - .forward(example) - .await - .into_result() - .map_err(|err| anyhow::anyhow!(err)); - (idx, result) - }) - .buffer_unordered(max_concurrency) - .inspect(|_| { - if let Some(ref mut progress) = pb { - let _ = progress.update(1); - } - }) - .collect() - .await; +#[tracing::instrument( + name = "dsrs.forward_all", + level = "debug", + skip(module, inputs), + fields(total_inputs = inputs.len(), max_concurrency) +)] +pub async fn forward_all( + module: &M, + inputs: Vec, + max_concurrency: usize, +) -> Vec> +where + M: Module + ?Sized, +{ + forward_all_with_progress(module, inputs, max_concurrency, true).await +} - // Sort results back to original order - let mut indexed_results = indexed_results; - indexed_results.sort_by_key(|(idx, _)| *idx); +#[tracing::instrument( + name = "dsrs.forward_all_with_progress", + level = "debug", + skip(module, inputs), + fields(total_inputs = inputs.len(), max_concurrency, display_progress) +)] +pub async fn forward_all_with_progress( + module: &M, + inputs: Vec, + max_concurrency: usize, + display_progress: bool, +) -> Vec> +where + M: Module + ?Sized, +{ + let total = inputs.len(); + let mut pb = if display_progress { + Some(tqdm!(total = total, desc = "Processing")) + } else { + None + }; - // Collect predictions and handle errors - let mut predictions = Vec::with_capacity(total); - for (idx, result) in indexed_results { - match result { - Ok(prediction) => predictions.push(prediction), - Err(err) => { - debug!(idx, error = %err, "batch item failed"); - return Err(err); + let mut indexed_results: Vec<(usize, CallOutcome)> = + stream::iter(inputs.into_iter().enumerate()) + .map(|(idx, input)| async move { (idx, module.forward(input).await) }) + .buffer_unordered(max_concurrency) + .inspect(|_| { + if let Some(ref mut progress) = pb { + let _ = progress.update(1); } - } - } - debug!(predictions = predictions.len(), "batch completed"); + }) + .collect() + .await; - Ok(predictions) - } + indexed_results.sort_by_key(|(idx, _)| *idx); + + let outcomes = indexed_results + .into_iter() + .map(|(_, outcome)| outcome) + .collect::>(); + debug!(outcomes = outcomes.len(), "forward_all completed"); + outcomes } #[allow(unused_variables)] diff --git a/crates/dspy-rs/src/core/signature.rs b/crates/dspy-rs/src/core/signature.rs index 37c23374..663e4b5b 100644 --- a/crates/dspy-rs/src/core/signature.rs +++ b/crates/dspy-rs/src/core/signature.rs @@ -7,20 +7,6 @@ use crate::{BamlType, Example, OutputFormatContent}; use super::{FieldMetadataSpec, SignatureSchema}; -#[derive(Debug, Clone, Copy)] -#[deprecated( - since = "0.7.4", - note = "Use SignatureSchema::input_fields()/output_fields() instead" -)] -pub struct FieldSpec { - pub name: &'static str, - pub rust_name: &'static str, - pub description: &'static str, - pub type_ir: fn() -> crate::TypeIR, - pub constraints: &'static [ConstraintSpec], - pub format: Option<&'static str>, -} - #[derive(Debug, Clone, Copy)] pub struct ConstraintSpec { pub kind: ConstraintKind, @@ -64,12 +50,6 @@ pub trait Signature: Send + Sync + 'static { fn input_field_metadata() -> &'static [FieldMetadataSpec]; fn output_field_metadata() -> &'static [FieldMetadataSpec]; - #[allow(deprecated)] - fn input_fields() -> &'static [FieldSpec]; - - #[allow(deprecated)] - fn output_fields() -> &'static [FieldSpec]; - fn output_format_content() -> &'static OutputFormatContent where Self: Sized, diff --git a/crates/dspy-rs/src/evaluate/evaluator.rs b/crates/dspy-rs/src/evaluate/evaluator.rs index 5ab2d3d5..f2f49b09 100644 --- a/crates/dspy-rs/src/evaluate/evaluator.rs +++ b/crates/dspy-rs/src/evaluate/evaluator.rs @@ -1,10 +1,10 @@ -use crate::core::Module; +use crate::core::{Module, forward_all_with_progress}; use crate::data::{example::Example, prediction::Prediction}; use futures::stream::{self, StreamExt}; use tracing::{debug, warn}; #[allow(async_fn_in_trait)] -pub trait Evaluator: Module { +pub trait Evaluator: Module { const MAX_CONCURRENCY: usize = 32; const DISPLAY_PROGRESS: bool = true; @@ -21,20 +21,23 @@ pub trait Evaluator: Module { ) )] async fn evaluate(&self, examples: Vec) -> f32 { - let predictions = match self - .batch( - examples.clone(), - Self::MAX_CONCURRENCY, - Self::DISPLAY_PROGRESS, - ) - .await - { - Ok(predictions) => predictions, - Err(err) => { - warn!(error = %err, "evaluation failed while generating predictions"); - panic!("evaluation failed: {err}"); + let outcomes = forward_all_with_progress( + self, + examples.clone(), + Self::MAX_CONCURRENCY, + Self::DISPLAY_PROGRESS, + ) + .await; + let mut predictions = Vec::with_capacity(outcomes.len()); + for (idx, outcome) in outcomes.into_iter().enumerate() { + match outcome.into_result() { + Ok(prediction) => predictions.push(prediction), + Err(err) => { + warn!(idx, error = %err, "evaluation failed while generating predictions"); + panic!("evaluation failed: {err}"); + } } - }; + } let total = examples.len(); diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 1d2e3155..9415c973 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -4,7 +4,7 @@ use crate::augmentation::Augmented; use crate::Augmentation; use crate::core::{MetaSignature, Module, Optimizable, Signature}; use crate::predictors::{Demo, Predict, PredictBuilder}; -use crate::{BamlType, CallOutcome, Example, Prediction}; +use crate::{BamlType, CallOutcome, Example}; #[derive(Augmentation, Clone, Debug)] #[augment(output, prepend)] @@ -13,6 +13,8 @@ pub struct Reasoning { pub reasoning: String, } +pub type ChainOfThoughtOutput = WithReasoning<::Output>; + #[derive(Default)] pub struct ChainOfThought { predictor: Predict>, @@ -48,15 +50,11 @@ where S::Input: BamlType, S::Output: BamlType, { - async fn forward(&self, inputs: Example) -> CallOutcome { - self.predictor.forward(inputs).await - } + type Input = S::Input; + type Output = WithReasoning; - async fn forward_untyped( - &self, - input: crate::BamlValue, - ) -> CallOutcome { - self.predictor.forward_untyped(input).await + async fn forward(&self, input: S::Input) -> CallOutcome> { + self.predictor.call(input).await } } diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index 883eb146..d07d7d86 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -226,7 +226,7 @@ impl GEPA { trainset: &[Example], ) -> Result where - M: Module + Optimizable + FeedbackEvaluator, + M: Module + Optimizable + FeedbackEvaluator, { let mut frontier = ParetoFrontier::new(); @@ -258,7 +258,7 @@ impl GEPA { _candidate: &GEPACandidate, ) -> Result> where - M: Module + FeedbackEvaluator, + M: Module + FeedbackEvaluator, { use futures::future::join_all; @@ -286,7 +286,7 @@ impl GEPA { minibatch: &[Example], ) -> Result> where - M: Module + FeedbackEvaluator, + M: Module + FeedbackEvaluator, { let mut traces = Vec::with_capacity(minibatch.len()); @@ -378,7 +378,7 @@ impl GEPA { impl Optimizer for GEPA { async fn compile(&self, _module: &mut M, _trainset: Vec) -> Result<()> where - M: Module + Optimizable + crate::Evaluator, + M: Module + Optimizable + crate::Evaluator, { // GEPA requires FeedbackEvaluator, not just Evaluator // This is a compilation error that guides users to implement the right trait @@ -397,7 +397,7 @@ impl GEPA { trainset: Vec, ) -> Result where - M: Module + Optimizable + FeedbackEvaluator, + M: Module + Optimizable + FeedbackEvaluator, { println!("GEPA: Starting reflective prompt optimization"); println!(" Iterations: {}", self.num_iterations); diff --git a/crates/dspy-rs/src/optimizer/mod.rs b/crates/dspy-rs/src/optimizer/mod.rs index 029dfe93..ef76c687 100644 --- a/crates/dspy-rs/src/optimizer/mod.rs +++ b/crates/dspy-rs/src/optimizer/mod.rs @@ -11,6 +11,7 @@ pub use pareto::*; use crate::{ core::{Module, Optimizable}, data::example::Example, + data::prediction::Prediction, evaluate::Evaluator, }; use anyhow::Result; @@ -19,5 +20,5 @@ use anyhow::Result; pub trait Optimizer { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where - M: Module + Optimizable + Evaluator; + M: Module + Optimizable + Evaluator; } diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 7107fa89..fd1b395e 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -416,75 +416,36 @@ where S::Input: BamlType, S::Output: BamlType, { + type Input = S::Input; + type Output = S::Output; + #[tracing::instrument( name = "dsrs.module.forward", level = "debug", - skip(self, inputs), + skip(self, input), fields( signature = std::any::type_name::(), - input_keys = inputs.input_keys.len(), - output_keys = inputs.output_keys.len() + typed = true ) )] - async fn forward(&self, inputs: Example) -> CallOutcome { - let typed_input = input_from_example::(&inputs).map_err(|err| { - debug!(error = %err, "typed input conversion failed"); - err - }); - let typed_input = match typed_input { - Ok(input) => input, - Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Conversion( - crate::ConversionError::TypeMismatch { - expected: "typed input", - actual: err.to_string(), - }, - BamlValue::Map(BamlMap::new()), - ), - CallMetadata::default(), - ); - } - }; - - let (result, metadata) = self.call(typed_input).await.into_parts(); - let output = match result { - Ok(output) => output, - Err(kind) => return CallOutcome::err(kind, metadata), - }; - let prediction = match prediction_from_output::( - &output, - metadata.lm_usage.clone(), - metadata.node_id, - ) { - Ok(prediction) => prediction, - Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Conversion( - crate::ConversionError::TypeMismatch { - expected: "prediction", - actual: err.to_string(), - }, - output.to_baml_value(), - ), - metadata, - ); - } - }; - debug!( - output_fields = prediction.data.len(), - "typed module forward complete" - ); - CallOutcome::ok(prediction, metadata) + async fn forward(&self, input: S::Input) -> CallOutcome { + self.call(input).await } +} +impl Predict +where + S: Signature + Clone, + S::Input: BamlType, + S::Output: BamlType, +{ #[tracing::instrument( - name = "dsrs.module.forward_untyped", + name = "dsrs.predict.forward_untyped", level = "debug", skip(self, input), fields(signature = std::any::type_name::()) )] - async fn forward_untyped( + pub async fn forward_untyped( &self, input: BamlValue, ) -> CallOutcome { @@ -503,7 +464,7 @@ where Ok(output) => output, Err(kind) => return CallOutcome::err(kind, metadata), }; - debug!("typed module forward_untyped complete"); + debug!("typed predict forward_untyped complete"); CallOutcome::ok(output.to_baml_value(), metadata) } } diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index 06527937..65123511 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -1,12 +1,14 @@ use proc_macro::TokenStream; use quote::{format_ident, quote}; use serde_json::{Value, json}; +use std::collections::HashSet; use syn::{ Attribute, Data, DeriveInput, Expr, ExprLit, Fields, Ident, Lit, LitStr, Meta, MetaNameValue, Token, Visibility, parse::{Parse, ParseStream}, parse_macro_input, spanned::Spanned, + visit::Visit, }; mod optim; @@ -209,6 +211,7 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { let mut is_input = false; let mut is_output = false; let mut is_flatten = false; + let mut saw_flatten = false; let mut alias = None; let mut format = None; let mut constraints = Vec::new(); @@ -236,6 +239,13 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { } format = Some(parse_string_attr(attr, "format")?); } else if attr.path().is_ident("flatten") { + if saw_flatten { + return Err(syn::Error::new_spanned( + attr, + "#[flatten] can only be specified once per field", + )); + } + saw_flatten = true; is_flatten = true; } else if attr.path().is_ident("check") { constraints.push(parse_constraint_attr(attr, ParsedConstraintKind::Check)?); @@ -263,6 +273,13 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { } } + if is_flatten && (alias.is_some() || format.is_some() || !constraints.is_empty()) { + return Err(syn::Error::new_spanned( + field, + "#[flatten] cannot be combined with #[alias], #[format], #[check], or #[assert]", + )); + } + let doc_comment = collect_doc_comment(&field.attrs); let description = desc_override.unwrap_or(doc_comment); @@ -394,17 +411,19 @@ fn generate_signature_code( ) -> syn::Result { let name = &input.ident; let vis = &input.vis; + let generics = &input.generics; - let helper_structs = generate_helper_structs(name, parsed, vis, runtime)?; - let input_fields = generate_field_specs(name, &parsed.input_fields, "INPUT", runtime)?; - let output_fields = generate_field_specs(name, &parsed.output_fields, "OUTPUT", runtime)?; - let baml_delegation = generate_baml_delegation(name, parsed, runtime); - let signature_impl = generate_signature_impl(name, parsed, runtime); + let helper_structs = generate_helper_structs(name, generics, parsed, vis, runtime)?; + let input_metadata = generate_field_metadata(name, &parsed.input_fields, "INPUT", runtime)?; + let output_metadata = + generate_field_metadata(name, &parsed.output_fields, "OUTPUT", runtime)?; + let baml_delegation = generate_baml_delegation(name, generics, parsed, runtime); + let signature_impl = generate_signature_impl(name, generics, parsed, runtime); Ok(quote! { #helper_structs - #input_fields - #output_fields + #input_metadata + #output_metadata #baml_delegation #signature_impl }) @@ -412,6 +431,7 @@ fn generate_signature_code( fn generate_helper_structs( name: &Ident, + generics: &syn::Generics, parsed: &ParsedSignature, vis: &Visibility, runtime: &syn::Path, @@ -420,29 +440,164 @@ fn generate_helper_structs( let output_name = format_ident!("__{}Output", name); let all_name = format_ident!("__{}All", name); - let input_fields: Vec<_> = parsed.input_fields.iter().map(field_tokens).collect(); - let output_fields: Vec<_> = parsed.output_fields.iter().map(field_tokens).collect(); - let all_fields: Vec<_> = parsed.all_fields.iter().map(field_tokens).collect(); + let helper_generics = unconstrained_generics(generics); + let (helper_impl_generics, helper_ty_generics, _helper_where_clause) = + helper_generics.split_for_impl(); + + let mut input_fields: Vec<_> = parsed.input_fields.iter().map(field_tokens).collect(); + if let Some(marker) = generic_marker_field(generics, &parsed.input_fields) { + input_fields.push(marker); + } + + let mut output_fields: Vec<_> = parsed.output_fields.iter().map(field_tokens).collect(); + if let Some(marker) = generic_marker_field(generics, &parsed.output_fields) { + output_fields.push(marker); + } + + let mut all_fields: Vec<_> = parsed.all_fields.iter().map(field_tokens).collect(); + if let Some(marker) = generic_marker_field(generics, &parsed.all_fields) { + all_fields.push(marker); + } + + let facet = quote! { #runtime::__macro_support::bamltype::facet }; + let schema_bundle = quote! { #runtime::__macro_support::bamltype::SchemaBundle }; Ok(quote! { - #[#runtime::BamlType] - #[derive(Debug, Clone)] - #vis struct #input_name { + #[derive(Debug, Clone, #facet::Facet)] + #[facet(crate = #facet)] + #vis struct #input_name #helper_generics { #(#input_fields),* } - #[#runtime::BamlType] - pub struct #output_name { + impl #helper_impl_generics #runtime::__macro_support::bamltype::BamlSchema for #input_name #helper_ty_generics + where + #input_name #helper_ty_generics: for<'a> #facet::Facet<'a>, + { + fn baml_schema() -> &'static #schema_bundle { + static SCHEMA: ::std::sync::OnceLock<#schema_bundle> = ::std::sync::OnceLock::new(); + SCHEMA.get_or_init(|| { + #schema_bundle::from_shape(>::SHAPE) + }) + } + } + + #[derive(Debug, Clone, #facet::Facet)] + #[facet(crate = #facet)] + pub struct #output_name #helper_generics { #(#output_fields),* } - #[#runtime::BamlType] - pub struct #all_name { + impl #helper_impl_generics #runtime::__macro_support::bamltype::BamlSchema for #output_name #helper_ty_generics + where + #output_name #helper_ty_generics: for<'a> #facet::Facet<'a>, + { + fn baml_schema() -> &'static #schema_bundle { + static SCHEMA: ::std::sync::OnceLock<#schema_bundle> = ::std::sync::OnceLock::new(); + SCHEMA.get_or_init(|| { + #schema_bundle::from_shape(>::SHAPE) + }) + } + } + + #[derive(Debug, Clone, #facet::Facet)] + #[facet(crate = #facet)] + pub struct #all_name #helper_generics { #(#all_fields),* } + + impl #helper_impl_generics #runtime::__macro_support::bamltype::BamlSchema for #all_name #helper_ty_generics + where + #all_name #helper_ty_generics: for<'a> #facet::Facet<'a>, + { + fn baml_schema() -> &'static #schema_bundle { + static SCHEMA: ::std::sync::OnceLock<#schema_bundle> = ::std::sync::OnceLock::new(); + SCHEMA.get_or_init(|| { + #schema_bundle::from_shape(>::SHAPE) + }) + } + } + }) +} + +fn unconstrained_generics(generics: &syn::Generics) -> syn::Generics { + let mut helper_generics = generics.clone(); + + for param in helper_generics.type_params_mut() { + param.bounds.clear(); + param.bounds.push(syn::parse_quote!('static)); + param.eq_token = None; + param.default = None; + } + + helper_generics.where_clause = None; + helper_generics +} + +fn generic_marker_field( + generics: &syn::Generics, + fields: &[ParsedField], +) -> Option { + let missing = missing_type_params_for_fields(generics, fields); + if missing.is_empty() { + return None; + } + + Some(quote! { + #[doc(hidden)] + #[facet(skip)] + __phantom: ::std::marker::PhantomData<(#(#missing),*)> }) } +fn missing_type_params_for_fields( + generics: &syn::Generics, + fields: &[ParsedField], +) -> Vec { + let type_params: Vec = generics + .type_params() + .map(|param| param.ident.clone()) + .collect(); + + if type_params.is_empty() { + return Vec::new(); + } + + let mut collector = TypeParamUsageCollector { + tracked: type_params + .iter() + .map(|ident| ident.to_string()) + .collect::>(), + used: HashSet::new(), + }; + + for field in fields { + collector.visit_type(&field.ty); + } + + type_params + .into_iter() + .filter(|ident| !collector.used.contains(&ident.to_string())) + .collect() +} + +struct TypeParamUsageCollector { + tracked: HashSet, + used: HashSet, +} + +impl<'ast> Visit<'ast> for TypeParamUsageCollector { + fn visit_type_path(&mut self, path: &'ast syn::TypePath) { + if path.qself.is_none() && path.path.segments.len() == 1 { + let ident = path.path.segments[0].ident.to_string(); + if self.tracked.contains(&ident) { + self.used.insert(ident); + } + } + + syn::visit::visit_type_path(self, path); + } +} + fn field_tokens(field: &ParsedField) -> proc_macro2::TokenStream { let ident = &field.ident; let ty = &field.ty; @@ -457,9 +612,8 @@ fn field_tokens(field: &ParsedField) -> proc_macro2::TokenStream { attrs.push(quote! { #[facet(flatten)] }); } - // Note: aliases and constraints are handled at the FieldSpec level in - // generate_field_specs, not via struct attributes. The adapter layer uses - // FieldSpec metadata for LLM name mapping and constraint enforcement. + // Note: aliases, formats, and constraints are emitted in + // generate_field_metadata(), not as struct attributes. quote! { #(#attrs)* @@ -467,31 +621,21 @@ fn field_tokens(field: &ParsedField) -> proc_macro2::TokenStream { } } -fn generate_field_specs( +fn generate_field_metadata( name: &Ident, fields: &[ParsedField], kind: &str, runtime: &syn::Path, ) -> syn::Result { - let prefix = name.to_string().to_lowercase(); - let array_name = format_ident!("__{}_{}_FIELDS", name.to_string().to_uppercase(), kind); let metadata_array_name = format_ident!("__{}_{}_METADATA", name.to_string().to_uppercase(), kind); - let mut type_ir_fns = Vec::new(); let mut constraint_arrays = Vec::new(); - let mut field_specs = Vec::new(); let mut metadata_specs = Vec::new(); for field in fields { let field_name = field.ident.to_string(); - let field_name_ident = &field.ident; - let ty = &field.ty; - - let llm_name = field.alias.as_ref().unwrap_or(&field_name); - let llm_name = LitStr::new(llm_name, proc_macro2::Span::call_site()); let rust_name = LitStr::new(&field_name, proc_macro2::Span::call_site()); - let description = LitStr::new(&field.description, proc_macro2::Span::call_site()); let alias = match &field.alias { Some(value) => { let lit = LitStr::new(value, proc_macro2::Span::call_site()); @@ -507,42 +651,6 @@ fn generate_field_specs( None => quote! { None }, }; - let type_ir_fn_name = format_ident!("__{}_{}_type_ir", prefix, field_name_ident); - - if field.constraints.is_empty() { - type_ir_fns.push(quote! { - fn #type_ir_fn_name() -> #runtime::TypeIR { - #runtime::__macro_support::bamltype::baml_type_ir::<#ty>() - } - }); - } else { - let constraint_tokens: Vec<_> = field - .constraints - .iter() - .map(|constraint| { - let expr = LitStr::new(&constraint.expression, proc_macro2::Span::call_site()); - let label = constraint.label.as_deref().unwrap_or(""); - let label = LitStr::new(label, proc_macro2::Span::call_site()); - match constraint.kind { - ParsedConstraintKind::Check => { - quote! { #runtime::Constraint::new_check(#label, #expr) } - } - ParsedConstraintKind::Assert => { - quote! { #runtime::Constraint::new_assert(#label, #expr) } - } - } - }) - .collect(); - - type_ir_fns.push(quote! { - fn #type_ir_fn_name() -> #runtime::TypeIR { - let mut base = #runtime::__macro_support::bamltype::baml_type_ir::<#ty>(); - base.meta_mut().constraints.extend(vec![#(#constraint_tokens),*]); - base - } - }); - } - let constraints_name = format_ident!( "__{}_{}_CONSTRAINTS", name.to_string().to_uppercase(), @@ -584,17 +692,6 @@ fn generate_field_specs( }); } - field_specs.push(quote! { - #runtime::FieldSpec { - name: #llm_name, - rust_name: #rust_name, - description: #description, - type_ir: #type_ir_fn_name, - constraints: #constraints_name, - format: #format, - } - }); - metadata_specs.push(quote! { #runtime::FieldMetadataSpec { rust_name: #rust_name, @@ -606,13 +703,8 @@ fn generate_field_specs( } Ok(quote! { - #(#type_ir_fns)* #(#constraint_arrays)* - static #array_name: &[#runtime::FieldSpec] = &[ - #(#field_specs),* - ]; - static #metadata_array_name: &[#runtime::FieldMetadataSpec] = &[ #(#metadata_specs),* ]; @@ -621,11 +713,13 @@ fn generate_field_specs( fn generate_baml_delegation( name: &Ident, + generics: &syn::Generics, parsed: &ParsedSignature, runtime: &syn::Path, ) -> proc_macro2::TokenStream { let all_name = format_ident!("__{}All", name); let field_names: Vec<_> = parsed.all_fields.iter().map(|field| &field.ident).collect(); + let (impl_generics, ty_generics, where_clause) = generics.split_for_impl(); let mut to_value_inserts = Vec::new(); for field in &parsed.all_fields { @@ -640,21 +734,21 @@ fn generate_baml_delegation( } quote! { - impl #runtime::BamlType for #name { + impl #impl_generics #runtime::BamlType for #name #ty_generics #where_clause { fn baml_output_format() -> &'static #runtime::OutputFormatContent { - <#all_name as #runtime::BamlType>::baml_output_format() + <#all_name #ty_generics as #runtime::BamlType>::baml_output_format() } fn baml_internal_name() -> &'static str { - <#all_name as #runtime::BamlType>::baml_internal_name() + <#all_name #ty_generics as #runtime::BamlType>::baml_internal_name() } fn baml_type_ir() -> #runtime::TypeIR { - <#all_name as #runtime::BamlType>::baml_type_ir() + <#all_name #ty_generics as #runtime::BamlType>::baml_type_ir() } fn try_from_baml_value(value: #runtime::BamlValue) -> Result { - let all = <#all_name as #runtime::BamlType>::try_from_baml_value(value)?; + let all = <#all_name #ty_generics as #runtime::BamlType>::try_from_baml_value(value)?; Ok(Self { #(#field_names: all.#field_names),* }) @@ -675,36 +769,36 @@ fn generate_baml_delegation( fn generate_signature_impl( name: &Ident, + generics: &syn::Generics, parsed: &ParsedSignature, runtime: &syn::Path, ) -> proc_macro2::TokenStream { let input_name = format_ident!("{}Input", name); let output_name = format_ident!("__{}Output", name); + let (impl_generics, ty_generics, where_clause) = generics.split_for_impl(); let instruction = LitStr::new(&parsed.instruction, proc_macro2::Span::call_site()); - let input_fields_static = format_ident!("__{}_INPUT_FIELDS", name.to_string().to_uppercase()); - let output_fields_static = format_ident!("__{}_OUTPUT_FIELDS", name.to_string().to_uppercase()); let input_metadata_static = format_ident!("__{}_INPUT_METADATA", name.to_string().to_uppercase()); let output_metadata_static = format_ident!("__{}_OUTPUT_METADATA", name.to_string().to_uppercase()); quote! { - impl #runtime::Signature for #name { - type Input = #input_name; - type Output = #output_name; + impl #impl_generics #runtime::Signature for #name #ty_generics #where_clause { + type Input = #input_name #ty_generics; + type Output = #output_name #ty_generics; fn instruction() -> &'static str { #instruction } fn input_shape() -> &'static #runtime::Shape { - <#input_name as #runtime::__macro_support::bamltype::facet::Facet<'static>>::SHAPE + <#input_name #ty_generics as #runtime::__macro_support::bamltype::facet::Facet<'static>>::SHAPE } fn output_shape() -> &'static #runtime::Shape { - <#output_name as #runtime::__macro_support::bamltype::facet::Facet<'static>>::SHAPE + <#output_name #ty_generics as #runtime::__macro_support::bamltype::facet::Facet<'static>>::SHAPE } fn input_field_metadata() -> &'static [#runtime::FieldMetadataSpec] { @@ -715,16 +809,8 @@ fn generate_signature_impl( &#output_metadata_static } - fn input_fields() -> &'static [#runtime::FieldSpec] { - &#input_fields_static - } - - fn output_fields() -> &'static [#runtime::FieldSpec] { - &#output_fields_static - } - fn output_format_content() -> &'static #runtime::OutputFormatContent { - <#output_name as #runtime::BamlType>::baml_output_format() + <#output_name #ty_generics as #runtime::BamlType>::baml_output_format() } } } diff --git a/crates/dsrs-macros/tests/signature_derive.rs b/crates/dsrs-macros/tests/signature_derive.rs index 797305e3..a2caf115 100644 --- a/crates/dsrs-macros/tests/signature_derive.rs +++ b/crates/dsrs-macros/tests/signature_derive.rs @@ -1,7 +1,7 @@ -use dspy_rs::Signature as SignatureTrait; +use dspy_rs::{BamlType, Facet, Signature as SignatureTrait, SignatureSchema}; /// Test instruction -#[derive(dsrs_macros::Signature)] +#[derive(dsrs_macros::Signature, Clone, Debug)] struct TestSig { #[input] #[alias("question_text")] @@ -13,7 +13,7 @@ struct TestSig { } /// Test logical operators are normalized to Jinja syntax. -#[derive(dsrs_macros::Signature)] +#[derive(dsrs_macros::Signature, Clone, Debug)] struct NormalizedConstraintSig { #[input] question: String, @@ -23,61 +23,84 @@ struct NormalizedConstraintSig { score: f64, } +#[derive(Clone, Debug)] +#[BamlType] +struct GenericCtx { + question: String, +} + +#[derive(dsrs_macros::Signature, Clone, Debug)] +struct GenericFlattenSig Facet<'a> + Clone + Send + Sync> { + #[input] + #[flatten] + context: T, + + #[output] + answer: String, +} + #[test] -fn test_generates_input_struct() { +fn generates_typed_input_and_output_helpers() { let input = TestSigInput { question: "test".to_string(), }; assert_eq!(input.question, "test"); + + let _output = __TestSigOutput { + answer: "ok".to_string(), + }; } #[test] -fn test_generates_signature_impl() { +fn generates_signature_impl_and_metadata() { assert_eq!( ::instruction(), "Test instruction" ); - let input_fields = ::input_fields(); - assert_eq!(input_fields.len(), 1); - assert_eq!(input_fields[0].name, "question_text"); + let input_metadata = ::input_field_metadata(); + assert_eq!(input_metadata.len(), 1); + assert_eq!(input_metadata[0].rust_name, "question"); + assert_eq!(input_metadata[0].alias, Some("question_text")); - let output_fields = ::output_fields(); - assert_eq!(output_fields.len(), 1); - assert_eq!(output_fields[0].constraints.len(), 1); - assert_eq!(output_fields[0].constraints[0].label, "non_empty"); + let output_metadata = ::output_field_metadata(); + assert_eq!(output_metadata.len(), 1); + assert_eq!(output_metadata[0].rust_name, "answer"); + assert_eq!(output_metadata[0].constraints.len(), 1); + assert_eq!(output_metadata[0].constraints[0].label, "non_empty"); } #[test] -fn test_from_parts_into_parts() { - let input = TestSigInput { - question: "q".to_string(), - }; - let output = __TestSigOutput { - answer: "a".to_string(), - }; - - let full = TestSig::from_parts(input, output); - assert_eq!(full.question, "q"); - assert_eq!(full.answer, "a"); - - let (input2, output2) = full.into_parts(); - assert_eq!(input2.question, "q"); - assert_eq!(output2.answer, "a"); +fn constraint_operator_normalization_is_preserved() { + let output_metadata = ::output_field_metadata(); + assert_eq!(output_metadata.len(), 1); + assert_eq!(output_metadata[0].constraints.len(), 1); + assert_eq!( + output_metadata[0].constraints[0].expression, + "this >= 0.0 and this <= 1.0" + ); } #[test] -fn test_baml_type_impl() { - let _ = ::baml_output_format(); -} +fn derives_generic_helpers_and_flatten_paths() { + let _typed_input = GenericFlattenSigInput:: { + context: GenericCtx { + question: "Where?".to_string(), + }, + }; + let _typed_output = __GenericFlattenSigOutput:: { + answer: "Here".to_string(), + __phantom: std::marker::PhantomData, + }; -#[test] -fn test_constraint_operator_normalization() { - let output_fields = ::output_fields(); - assert_eq!(output_fields.len(), 1); - assert_eq!(output_fields[0].constraints.len(), 1); - assert_eq!( - output_fields[0].constraints[0].expression, - "this >= 0.0 and this <= 1.0" - ); + let schema = SignatureSchema::of::>(); + let input_paths: Vec> = schema + .input_fields() + .iter() + .map(|field| field.path().iter().collect()) + .collect(); + assert_eq!(input_paths, vec![vec!["context", "question"]]); + + let output_names: Vec<&str> = schema.output_fields().iter().map(|f| f.lm_name).collect(); + assert_eq!(output_names, vec!["answer"]); } From 5a4cbad895614a23c8e3a021a83b940d584559a6 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 01:45:53 -0800 Subject: [PATCH 05/22] slice4: implement ReAct module, ModuleExt combinators, and tests --- .../93-smoke-slice4-react-operational.rs | 54 +++ crates/dspy-rs/src/core/mod.rs | 2 + crates/dspy-rs/src/core/module_ext.rs | 83 +++++ crates/dspy-rs/src/modules/mod.rs | 4 +- crates/dspy-rs/src/modules/react.rs | 349 ++++++++++++++++++ crates/dspy-rs/tests/test_module_ext.rs | 84 +++++ .../dspy-rs/tests/test_module_forward_all.rs | 32 ++ crates/dspy-rs/tests/test_react_builder.rs | 114 ++++++ 8 files changed, 721 insertions(+), 1 deletion(-) create mode 100644 crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs create mode 100644 crates/dspy-rs/src/core/module_ext.rs create mode 100644 crates/dspy-rs/src/modules/react.rs create mode 100644 crates/dspy-rs/tests/test_module_ext.rs create mode 100644 crates/dspy-rs/tests/test_module_forward_all.rs create mode 100644 crates/dspy-rs/tests/test_react_builder.rs diff --git a/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs b/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs new file mode 100644 index 00000000..2d58ed64 --- /dev/null +++ b/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs @@ -0,0 +1,54 @@ +use anyhow::{Result, bail}; +use dspy_rs::{ChatAdapter, LM, ReAct, Signature, configure, forward_all}; + +#[derive(Signature, Clone, Debug)] +struct SmokeSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[tokio::main] +async fn main() -> Result<()> { + // Smoke Label: Slice 4 ReAct + Operational + configure( + LM::builder() + .model("openai:gpt-5.2".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let module = ReAct::::builder() + .max_steps(3) + .tool("echo", "Echoes tool arguments", |args| async move { + format!("echo-result: {args}") + }) + .build(); + + let input = SmokeSigInput { + prompt: "Use the echo tool once if needed, then reply with exactly smoke-ok in the answer field." + .to_string(), + }; + + let mut outcomes = forward_all(&module, vec![input], 1).await.into_iter(); + let outcome = outcomes.next().expect("expected one batch outcome"); + let (result, metadata) = outcome.into_parts(); + + let output = result.map_err(|err| { + eprintln!("smoke call failed: {}", err); + eprintln!("raw_response: {:?}", metadata.raw_response); + anyhow::anyhow!("slice4 smoke failed") + })?; + + println!("tool_executions: {}", metadata.tool_executions.len()); + println!("answer: {}", output.answer); + + if !output.answer.to_ascii_lowercase().contains("smoke-ok") { + bail!("unexpected answer content: {}", output.answer); + } + + Ok(()) +} diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index f4ce1906..1178d1c2 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -3,6 +3,7 @@ mod call_result; mod errors; pub mod lm; pub mod module; +mod module_ext; mod schema; pub mod settings; pub mod signature; @@ -15,6 +16,7 @@ pub use call_result::CallResult; pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; pub use lm::*; pub use module::*; +pub use module_ext::*; pub use schema::{FieldMetadataSpec, FieldPath, FieldSchema, SignatureSchema}; pub use settings::*; pub use signature::*; diff --git a/crates/dspy-rs/src/core/module_ext.rs b/crates/dspy-rs/src/core/module_ext.rs new file mode 100644 index 00000000..e78fe1e6 --- /dev/null +++ b/crates/dspy-rs/src/core/module_ext.rs @@ -0,0 +1,83 @@ +use crate::{CallOutcome, CallOutcomeErrorKind}; + +use super::Module; + +pub trait ModuleExt: Module + Sized { + fn map(self, map: F) -> Map + where + F: Fn(Self::Output) -> T + Send + Sync + 'static, + T: Send + Sync + 'static, + { + Map { inner: self, map } + } + + fn and_then(self, and_then: F) -> AndThen + where + F: Fn(Self::Output) -> Result + Send + Sync + 'static, + T: Send + Sync + 'static, + { + AndThen { + inner: self, + and_then, + } + } +} + +impl ModuleExt for M {} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +pub struct Map { + pub(crate) inner: M, + #[facet(skip)] + map: F, +} + +#[allow(async_fn_in_trait)] +impl Module for Map +where + M: Module, + F: Fn(M::Output) -> T + Send + Sync + 'static, + T: Send + Sync + 'static, +{ + type Input = M::Input; + type Output = T; + + async fn forward(&self, input: Self::Input) -> CallOutcome { + let (result, metadata) = self.inner.forward(input).await.into_parts(); + match result { + Ok(output) => CallOutcome::ok((self.map)(output), metadata), + Err(err) => CallOutcome::err(err, metadata), + } + } +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +pub struct AndThen { + pub(crate) inner: M, + #[facet(skip)] + and_then: F, +} + +#[allow(async_fn_in_trait)] +impl Module for AndThen +where + M: Module, + F: Fn(M::Output) -> Result + Send + Sync + 'static, + T: Send + Sync + 'static, +{ + type Input = M::Input; + type Output = T; + + async fn forward(&self, input: Self::Input) -> CallOutcome { + let (result, metadata) = self.inner.forward(input).await.into_parts(); + match result { + Ok(output) => match (self.and_then)(output) { + Ok(transformed) => CallOutcome::ok(transformed, metadata), + Err(err) => CallOutcome::err(err, metadata), + }, + Err(err) => CallOutcome::err(err, metadata), + } + } +} diff --git a/crates/dspy-rs/src/modules/mod.rs b/crates/dspy-rs/src/modules/mod.rs index 042c9f00..bb78415a 100644 --- a/crates/dspy-rs/src/modules/mod.rs +++ b/crates/dspy-rs/src/modules/mod.rs @@ -1,3 +1,5 @@ pub mod chain_of_thought; +pub mod react; -pub use chain_of_thought::{ChainOfThought, Reasoning, WithReasoning}; +pub use chain_of_thought::{ChainOfThought, ChainOfThoughtOutput, Reasoning, WithReasoning}; +pub use react::ReAct; diff --git a/crates/dspy-rs/src/modules/react.rs b/crates/dspy-rs/src/modules/react.rs new file mode 100644 index 00000000..b5630634 --- /dev/null +++ b/crates/dspy-rs/src/modules/react.rs @@ -0,0 +1,349 @@ +use std::future::Future; +use std::sync::Arc; + +use facet::Facet; +use rig::completion::ToolDefinition; +use rig::message::{ToolCall, ToolFunction}; +use rig::tool::{ToolDyn, ToolError}; +use rig::wasm_compat::WasmBoxedFuture; + +use crate::core::{Module, Signature}; +use crate::predictors::{Predict, PredictBuilder}; +use crate::{BamlType, CallOutcome}; + +/// ReAct action-step schema. +#[derive(dsrs_macros::Signature, Clone, Debug)] +struct ReActActionStep { + #[input] + input: String, + + #[input] + trajectory: String, + + #[output] + thought: String, + + #[output] + action: String, + + #[output] + action_input: String, +} + +type ReActActionStepOutput = __ReActActionStepOutput; + +/// ReAct extraction-step schema. +#[derive(dsrs_macros::Signature, Clone, Debug)] +struct ReActExtractStep +where + O: BamlType + for<'a> Facet<'a> + Send + Sync + 'static, +{ + #[input] + input: String, + + #[input] + trajectory: String, + + #[output] + output: O, +} + +type ReActExtractStepOutput = __ReActExtractStepOutput; + +#[derive(facet::Facet)] +#[facet(crate = facet)] +pub struct ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + #[facet(opaque)] + action: Predict, + #[facet(opaque)] + extract: Predict>, + #[facet(skip, opaque)] + tools: Vec>, + #[facet(skip)] + max_steps: usize, +} + +impl ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + pub fn new() -> Self { + Self::builder().build() + } + + pub fn builder() -> ReActBuilder { + ReActBuilder::new() + } + + pub async fn call(&self, input: S::Input) -> CallOutcome { + self.forward(input).await + } + + async fn render_tool_manifest(&self) -> String { + if self.tools.is_empty() { + return "Available tools: (none)".to_string(); + } + + let mut lines = vec!["Available tools:".to_string()]; + for tool in &self.tools { + let definition = tool.definition(String::new()).await; + lines.push(format!("- {}: {}", definition.name, definition.description)); + } + + lines.join("\n") + } + + async fn execute_tool(&self, name: &str, args: String) -> String { + let normalized = name.trim(); + + for tool in &self.tools { + let candidate = tool.name(); + if candidate.eq_ignore_ascii_case(normalized) + || normalized.contains(&candidate) + || candidate.contains(normalized) + { + return match tool.call(args).await { + Ok(result) => result, + Err(err) => format!("tool_error: {err}"), + }; + } + } + + if let Some(first_tool) = self.tools.first() { + return match first_tool.call(args).await { + Ok(result) => result, + Err(err) => format!("tool_error: {err}"), + }; + } + + format!("tool_not_found: {name}") + } + + fn is_terminal_action(action: &str) -> bool { + action.eq_ignore_ascii_case("finish") + || action.eq_ignore_ascii_case("final") + || action.eq_ignore_ascii_case("done") + } +} + +impl Default for ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + fn default() -> Self { + Self::new() + } +} + +impl Module for ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + type Input = S::Input; + type Output = S::Output; + + async fn forward(&self, input: S::Input) -> CallOutcome { + let serialized_input = serde_json::to_string(&input.to_baml_value()) + .unwrap_or_else(|_| "".to_string()); + + let mut trajectory = self.render_tool_manifest().await; + trajectory.push_str("\n\n"); + + let mut tool_calls = Vec::new(); + let mut tool_executions = Vec::new(); + + for step in 0..self.max_steps { + let action_input = ReActActionStepInput { + input: serialized_input.clone(), + trajectory: trajectory.clone(), + }; + + let (action_result, mut action_metadata) = self.action.call(action_input).await.into_parts(); + tool_calls.append(&mut action_metadata.tool_calls); + tool_executions.append(&mut action_metadata.tool_executions); + + let ReActActionStepOutput { + thought, + action, + action_input, + } = match action_result { + Ok(output) => output, + Err(err) => return CallOutcome::err(err, action_metadata), + }; + + let action_name = action + .trim() + .trim_matches('"') + .trim_matches('\'') + .to_string(); + + if Self::is_terminal_action(&action_name) { + trajectory.push_str(&format!( + "Step {}\nThought: {}\nFinal: {}\n\n", + step + 1, + thought, + action_input + )); + break; + } + + let observation = self.execute_tool(&action_name, action_input.clone()).await; + + tool_calls.push(ToolCall { + id: format!("react-step-{}", step + 1), + call_id: None, + function: ToolFunction { + name: action_name.clone(), + arguments: serde_json::json!(action_input), + }, + }); + tool_executions.push(observation.clone()); + + trajectory.push_str(&format!( + "Step {}\nThought: {}\nAction: {}\nAction Input: {}\nObservation: {}\n\n", + step + 1, + thought, + action_name, + action_input, + observation + )); + } + + let extract_input = ReActExtractStepInput { + input: serialized_input, + trajectory, + __phantom: std::marker::PhantomData, + }; + + let (extract_result, mut extract_metadata) = self.extract.call(extract_input).await.into_parts(); + extract_metadata.tool_calls.extend(tool_calls); + extract_metadata.tool_executions.extend(tool_executions); + + match extract_result { + Ok(output) => { + let output: ReActExtractStepOutput = output; + CallOutcome::ok(output.output, extract_metadata) + } + Err(err) => CallOutcome::err(err, extract_metadata), + } + } +} + +pub struct ReActBuilder +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + action: PredictBuilder, + extract: PredictBuilder>, + tools: Vec>, + max_steps: usize, +} + +impl ReActBuilder +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + fn new() -> Self { + Self { + action: Predict::builder(), + extract: Predict::builder(), + tools: Vec::new(), + max_steps: 4, + } + } + + pub fn action_instruction(mut self, instruction: impl Into) -> Self { + self.action = self.action.instruction(instruction); + self + } + + pub fn extract_instruction(mut self, instruction: impl Into) -> Self { + self.extract = self.extract.instruction(instruction); + self + } + + pub fn max_steps(mut self, max_steps: usize) -> Self { + self.max_steps = max_steps.max(1); + self + } + + pub fn add_tool(mut self, tool: impl ToolDyn + 'static) -> Self { + self.tools.push(Arc::new(tool)); + self + } + + pub fn with_tools(mut self, tools: impl IntoIterator>) -> Self { + self.tools.extend(tools); + self + } + + pub fn tool(mut self, name: impl Into, description: impl Into, tool_fn: F) -> Self + where + F: Fn(String) -> Fut + Send + Sync + 'static, + Fut: Future + Send + 'static, + { + self.tools.push(Arc::new(PlainAsyncTool { + name: name.into(), + description: description.into(), + handler: tool_fn, + })); + self + } + + pub fn build(self) -> ReAct { + ReAct { + action: self.action.build(), + extract: self.extract.build(), + tools: self.tools, + max_steps: self.max_steps, + } + } +} + +struct PlainAsyncTool { + name: String, + description: String, + handler: F, +} + +impl ToolDyn for PlainAsyncTool +where + F: Fn(String) -> Fut + Send + Sync + 'static, + Fut: Future + Send + 'static, +{ + fn name(&self) -> String { + self.name.clone() + } + + fn definition<'a>(&'a self, _prompt: String) -> WasmBoxedFuture<'a, ToolDefinition> { + Box::pin(async move { + ToolDefinition { + name: self.name.clone(), + description: self.description.clone(), + parameters: serde_json::json!({ + "type": "object", + "additionalProperties": true + }), + } + }) + } + + fn call<'a>(&'a self, args: String) -> WasmBoxedFuture<'a, Result> { + Box::pin(async move { Ok((self.handler)(args).await) }) + } +} diff --git a/crates/dspy-rs/tests/test_module_ext.rs b/crates/dspy-rs/tests/test_module_ext.rs new file mode 100644 index 00000000..488309c5 --- /dev/null +++ b/crates/dspy-rs/tests/test_module_ext.rs @@ -0,0 +1,84 @@ +use dspy_rs::{ + CallMetadata, CallOutcome, CallOutcomeErrorKind, Module, ModuleExt, ParseError, +}; + +struct MaybeFails; + +impl Module for MaybeFails { + type Input = i32; + type Output = i32; + + async fn forward(&self, input: Self::Input) -> CallOutcome { + let metadata = CallMetadata::new( + format!("raw:{input}"), + dspy_rs::LmUsage::default(), + Vec::new(), + Vec::new(), + Some(input as usize), + indexmap::IndexMap::new(), + ); + + if input < 0 { + CallOutcome::err( + CallOutcomeErrorKind::Parse(ParseError::MissingField { + field: "value".to_string(), + raw_response: format!("raw:{input}"), + }), + metadata, + ) + } else { + CallOutcome::ok(input * 2, metadata) + } + } +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn map_transforms_success_and_preserves_metadata() { + let mapped = MaybeFails.map(|value| format!("v={value}")); + + let success = mapped.forward(3).await; + assert_eq!(success.metadata().raw_response, "raw:3"); + assert_eq!(success.into_result().expect("success expected"), "v=6"); + + let failure = mapped.forward(-7).await; + let err = failure.into_result().expect_err("failure expected"); + assert_eq!(err.metadata.raw_response, "raw:-7"); + match err.kind { + CallOutcomeErrorKind::Parse(ParseError::MissingField { field, .. }) => { + assert_eq!(field, "value") + } + other => panic!("unexpected error: {other:?}"), + } +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn and_then_applies_fallible_transform_and_keeps_metadata() { + let module = MaybeFails.and_then(|value| { + if value >= 4 { + Ok(value.to_string()) + } else { + Err(CallOutcomeErrorKind::Parse(ParseError::MissingField { + field: "transformed".to_string(), + raw_response: "transform".to_string(), + })) + } + }); + + let success = module.forward(3).await; + assert_eq!(success.metadata().raw_response, "raw:3"); + assert_eq!(success.into_result().expect("success expected"), "6"); + + let transformed_error = module.forward(1).await; + let err = transformed_error + .into_result() + .expect_err("transform error expected"); + assert_eq!(err.metadata.raw_response, "raw:1"); + match err.kind { + CallOutcomeErrorKind::Parse(ParseError::MissingField { field, .. }) => { + assert_eq!(field, "transformed") + } + other => panic!("unexpected error: {other:?}"), + } +} diff --git a/crates/dspy-rs/tests/test_module_forward_all.rs b/crates/dspy-rs/tests/test_module_forward_all.rs new file mode 100644 index 00000000..052ced30 --- /dev/null +++ b/crates/dspy-rs/tests/test_module_forward_all.rs @@ -0,0 +1,32 @@ +use std::time::Duration; + +use dspy_rs::{CallMetadata, CallOutcome, Module, forward_all}; +use tokio::time::sleep; + +struct DelayEcho; + +impl Module for DelayEcho { + type Input = (usize, u64); + type Output = usize; + + async fn forward(&self, input: Self::Input) -> CallOutcome { + let (value, delay_ms) = input; + sleep(Duration::from_millis(delay_ms)).await; + CallOutcome::ok(value, CallMetadata::default()) + } +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn forward_all_preserves_input_order() { + let module = DelayEcho; + let inputs = vec![(0, 60), (1, 10), (2, 40), (3, 5)]; + + let outcomes = forward_all(&module, inputs, 2).await; + let outputs = outcomes + .into_iter() + .map(|outcome| outcome.into_result().expect("forward should succeed")) + .collect::>(); + + assert_eq!(outputs, vec![0, 1, 2, 3]); +} diff --git a/crates/dspy-rs/tests/test_react_builder.rs b/crates/dspy-rs/tests/test_react_builder.rs new file mode 100644 index 00000000..f1eaa805 --- /dev/null +++ b/crates/dspy-rs/tests/test_react_builder.rs @@ -0,0 +1,114 @@ +use std::sync::LazyLock; +use std::sync::atomic::{AtomicUsize, Ordering}; + +use dspy_rs::{ + ChatAdapter, LM, LMClient, Module, ReAct, Signature, TestCompletionModel, configure, +}; +use rig::completion::AssistantContent; +use rig::message::Text; +use tokio::sync::Mutex; + +static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); + +fn response_with_fields(fields: &[(&str, &str)]) -> String { + let mut response = String::new(); + for (name, value) in fields { + response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); + } + response.push_str("[[ ## completed ## ]]\n"); + response +} + +fn text_response(text: impl Into) -> AssistantContent { + AssistantContent::Text(Text { text: text.into() }) +} + +async fn configure_test_lm(responses: Vec) { + unsafe { + std::env::set_var("OPENAI_API_KEY", "test"); + } + + let client = TestCompletionModel::new(responses.into_iter().map(text_response)); + let lm = LM::builder() + .model("openai:gpt-4o-mini".to_string()) + .build() + .await + .unwrap() + .with_client(LMClient::Test(client)) + .await + .unwrap(); + + configure(lm, ChatAdapter {}); +} + +#[derive(Signature, Clone, Debug)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +type QAOutput = __QAOutput; + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn react_builder_executes_tool_loop_and_extracts_output() { + let _lock = SETTINGS_LOCK.lock().await; + + let action_1 = response_with_fields(&[ + ("thought", "Need lookup"), + ("action", "search"), + ("action_input", "{\"query\":\"capital of france\"}"), + ]); + let action_2 = response_with_fields(&[ + ("thought", "Done"), + ("action", "finish"), + ("action_input", "Use gathered observation"), + ]); + let extract = response_with_fields(&[("output", "{\"answer\":\"Paris\"}")]); + + configure_test_lm(vec![action_1, action_2, extract]).await; + + let calls = std::sync::Arc::new(AtomicUsize::new(0)); + let calls_for_tool = calls.clone(); + + let react = ReAct::::builder() + .max_steps(3) + .tool("search", "Search docs", move |args| { + let calls_for_tool = calls_for_tool.clone(); + async move { + calls_for_tool.fetch_add(1, Ordering::SeqCst); + format!("observation:{args}") + } + }) + .build(); + + let outcome = react + .forward(QAInput { + question: "What is the capital of France?".to_string(), + }) + .await; + + let (result, metadata) = outcome.into_parts(); + assert_eq!( + calls.load(Ordering::SeqCst), + 1, + "tool execution count mismatch; metadata raw_response: {}", + metadata.raw_response + ); + assert!( + metadata + .tool_executions + .iter() + .any(|entry| entry.contains("observation:")), + "expected observation execution in metadata; got {:?}", + metadata.tool_executions + ); + + let result: QAOutput = result + .map_err(|err| format!("{err:?}")) + .expect("react call should succeed"); + assert_eq!(result.answer, "Paris"); +} From 304eb1b182330a7079fa27b9e1eeec8499395b64 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 01:45:53 -0800 Subject: [PATCH 06/22] docs: planning, review, and closure audit for slices 3-4 --- docs/plans/modules/human_audit_fuckery.md | 10 ++ docs/plans/modules/slice_2_refinery.md | 4 +- docs/plans/modules/slice_3.md | 123 ++++++++++++++++++ docs/plans/modules/slice_3_refinery.md | 30 +++++ docs/plans/modules/slice_3_research.md | 52 ++++++++ docs/plans/modules/slice_3_review.md | 93 +++++++++++++ docs/plans/modules/slice_4.md | 36 +++++ docs/plans/modules/slice_4_refinery.md | 20 +++ docs/plans/modules/slice_4_research.md | 35 +++++ docs/plans/modules/slice_4_review.md | 18 +++ .../plans/modules/slices_1_3_closure_audit.md | 120 +++++++++++++++++ docs/plans/modules/tracker.md | 44 ++++++- 12 files changed, 578 insertions(+), 7 deletions(-) create mode 100644 docs/plans/modules/human_audit_fuckery.md create mode 100644 docs/plans/modules/slice_3.md create mode 100644 docs/plans/modules/slice_3_refinery.md create mode 100644 docs/plans/modules/slice_3_research.md create mode 100644 docs/plans/modules/slice_3_review.md create mode 100644 docs/plans/modules/slice_4.md create mode 100644 docs/plans/modules/slice_4_refinery.md create mode 100644 docs/plans/modules/slice_4_research.md create mode 100644 docs/plans/modules/slice_4_review.md create mode 100644 docs/plans/modules/slices_1_3_closure_audit.md diff --git a/docs/plans/modules/human_audit_fuckery.md b/docs/plans/modules/human_audit_fuckery.md new file mode 100644 index 00000000..cb1a922a --- /dev/null +++ b/docs/plans/modules/human_audit_fuckery.md @@ -0,0 +1,10 @@ +## purpose +this is a doc that just lists things we gotta look into post phase 4. + +1) +really gotta do some deep research on facet and if we're using it right or not taking advantage of it enough. one of the most likely places things will drift. + +2) +legacy and cruft. these are things we want to kill kill kill die die die. as noted in shapes, but i think some of this was unjustly deferred. we gotta fix that shit boss + +3) diff --git a/docs/plans/modules/slice_2_refinery.md b/docs/plans/modules/slice_2_refinery.md index 81bc9fce..457b1455 100644 --- a/docs/plans/modules/slice_2_refinery.md +++ b/docs/plans/modules/slice_2_refinery.md @@ -23,5 +23,5 @@ - The plan currently adds a dedicated test for `ChainOfThought` swapping, flatten round-trips, and Deref ergonomics. Those are high-signal verification points for Slice 2, so they are appropriate; the risk of over-engineering would arise if we added unrelated tooling or extra layering beyond the spec, which the plan avoids. - The only quibble is the `augmentation.rs` snippet, which tries to make `Augmented` also implement `Augmentation`. That duplication increases cognitive load for reviewers without changing behavior. Reframing `Augmented` as the signature combinator eliminates the extra indirection. -## Unresolved points -- +## Arbitration outcomes +- Resolved in arbitration (2026-02-09): `ChainOfThoughtBuilder` exposes the delegated `PredictBuilder` DSL (`demo`, `with_demos`, `instruction`, `add_tool`, `with_tools`) in addition to `ChainOfThought::new()` so both ergonomic entry points are supported without API bifurcation. diff --git a/docs/plans/modules/slice_3.md b/docs/plans/modules/slice_3.md new file mode 100644 index 00000000..42d750a6 --- /dev/null +++ b/docs/plans/modules/slice_3.md @@ -0,0 +1,123 @@ +# Slice 3 Plan: Module authoring + +## Summary +1. Replace the legacy `Module` surface with the V3/F4/F12 shape (`CallOutcome` + strongly typed `Input/Output`). +2. Finish the generic/flatten signature derive path so `SignatureSchema::of::` can be built from Facet metadata and expose the helper parsing/formatting primitives that adapter-heavy modules re-use. +3. Ship the schema-aware adapter building blocks and end-to-end tests so future F5/F6 modules can compose adapters without reimplementing low-level prompt mechanics. +4. Validate that the P1→P2 ramp (e.g., `Map` / `.and_then()`) stays Facet-transparent for the optimizer walker (breadboard `N18`, `U51`) and that each `Predict` leaf still publishes the `dsrs::parameter` accessor payload required by the optimizer bridge (design reference F5/F6/S2). + +## Constraints +- Keep the work strictly within V3 (module authoring) targeted at the breadboard V3 story; do not add new augmentation, optimizer, or non-V3 features. +- Honor tracker decisions: the typed `forward` return must stay `CallOutcome` and metadata must carry raw response and parsing context in the same call. Any new APIs must not regress `CallOutcome` ergonomics (e.g., `Try`/`into_result`). +- The new schema path must settle on the Facet-driven `SignatureSchema` builder; legacy `FieldMetadataSpec` helpers are to be retired from the public surface. +- Explicitly mention the `Facet::reflect` based metadata generation so there is no lingering parallel schema surface versus the spec-level requirement that all metadata derive from Facet (shapes F1/F2/F12). + +## Key type signatures & imports +1. **Module trait (`crates/dspy-rs/src/core/module.rs`)** + ```rust + use async_trait::async_trait; + use crate::core::call_outcome::CallOutcome; + use facet::{BamlType, Facet}; + + #[async_trait] + pub trait Module: Send + Sync + 'static { + type Input: BamlType + Facet + Send + Sync + 'static; + type Output: BamlType + Facet + Send + Sync + 'static; + + async fn forward(&self, input: Self::Input) -> CallOutcome; + } + ``` +2. **Signature derive helpers (`crates/dsrs-macros/src/lib.rs`)** + - Imports: `proc_macro::{TokenStream, TokenTree}`, `syn::{DeriveInput, Data}`, `quote::quote`, `facet::Facet`. + - Function signature: + ```rust + pub fn derive_signature(input: TokenStream) -> TokenStream; + ``` + - Must emit `struct FooInput`/`FooOutput` where `T` carries the same bounds as `Foo`, and the generated `Facet` impl reflects `#[flatten]` fields with their flattened `FieldPath` (LM-visible names preserved). +3. **Signature schema builder (`crates/dspy-rs/src/core/schema.rs`)** + ```rust + pub fn schema_from_signature() -> SignatureSchema; + impl SignatureSchema { + pub fn field_paths(&self) -> &[FieldPath]; + pub fn build_system_message(&self, override: Option<&str>) -> ChatMessage; + pub fn format_input(&self, input: &S::Input) -> Vec; + pub fn format_output(&self, output: &S::Output) -> Vec; + } + ``` + - Imports: `crate::core::signature::Signature`, `facet::{Facet, BamlValue, FieldPath}`, `adapter::chat::ChatMessage`. +4. **Adapter helpers exposed (`crates/dspy-rs/src/adapter/chat.rs`)** + ```rust + pub fn build_system(schema: &SignatureSchema, instruction_override: Option<&str>) -> ChatMessage; + pub fn format_input(schema: &SignatureSchema, input: &S::Input) -> Vec; + pub fn format_output(schema: &SignatureSchema, output: &O) -> Vec; + pub fn parse_sections(content: &str) -> Vec; + pub fn parse_output(schema: &SignatureSchema, response: &str) -> Result; + ``` + - Imports: `crate::core::schema::SignatureSchema`, `crate::core::signature::Signature`, `facet::{Facet, BamlValue}`, `crate::adapter::chat::ChatMessage` etc. +5. **SignatureSchema cache** (`crates/dspy-rs/src/core/schema.rs`) + ```rust + pub fn schema_cache() -> &'static SignatureSchema; + ``` + - Guards are initialized via once-cell/`lazy_static` from Facet metadata. + +## Ordered edit steps +1. **Macro & schema metadata plumbing** + - Update `crates/dsrs-macros/src/lib.rs` to thread generics/nested bounds through generated `FooInput` and `FooOutput` helper types, emitting `#[facet(flatten(name = "foo.bar"))]` metadata for flattened fields. + - Replace any use of `FieldMetadataSpec` arrays with Facet introspection – the derive must now call into helper functions such as `facet::reflect::()` to build `FieldPath` lists. Add tests in the macro crate verifying `#[flatten]` yields multiple `FieldPath`s with unique LM-visible names. + - Add a regression test proving wrappers like `Map` / `.and_then()` expose their inner `Module` fields via Facet so the optimizer walker described in `N18` and `U51` still discovers Predict leaves. Walk the derived schema from a wrapped module and assert the flattened `FieldPath` to the inner predictor exists. + 2. **SignatureSchema builder rewrite** + - Modify `crates/dspy-rs/src/core/schema.rs` so `SignatureSchema::build()` walks the Facet tree (`facet::Facet::schema()`) and records each leaf's `FieldPath` (flattened names, type info). The builder should drop references to `FieldMetadataSpec` entirely. + - Ensure `SignatureSchema::of::()` caches the schema via `once_cell::sync::Lazy` and exposes helper methods referenced in later steps. + - Move the `TypeId`-keyed cache initialization ahead of step 3 so `schema::of::()` is statically memoized before any module trait changes rely on it; include an idiomatic helper that guarantees each monomorphized signature has its own entry (S1 failure mode alert). +3. **Module trait migration** + - Replace `crate::core::module.rs` contents with the V3 trait above, keeping `batch`/helper functions as free functions (e.g., `pub async fn batch_forward(_...)`). Update imports to include `CallOutcome`, `facet` traits, and `async_trait`. + - Update any file using `Module` (predictor modules, aggregator modules) to adopt the new type signature; plan point includes list of affected files such as `crates/dspy-rs/src/module/predict.rs`, `chains/chain_of_thought.rs`, etc., with exact type replacements. + - Confirm `Predict` still carries its `dsrs::parameter` Facet attribute and accessor payload so the optimizer walker (F6) can rehydrate a `DynPredictor`. Document this in the plan to remind implementers not to drop the attribute when refactoring `Predict` in this slice (design reference section 8, spike S2). +4. **Expose adapter building blocks** + - In `crates/dspy-rs/src/adapter/chat.rs` declare the public helper functions listed above; each should delegate to the existing typed helpers but accept a `SignatureSchema` rather than `MetaSignature`. + - Update the `Adapter` impl to route through these new helpers so backward compatibility is preserved while enabling new modules to call them directly. Mention to keep existing helper names for now but mark them `pub(crate)`. +5. **Module implementations and composer migration** + - Touch each `Module` implementor (`predict.rs`, `re_act.rs`, any aggregator) to accept typed inputs/outputs and return `CallOutcome`. Provide typically `type Input = PredictInput; type Output = PredictOutput;` etc. Document new `impl Module for Foo` snippet with associated type names. + - Confirm modules still call `ChatAdapter` helpers to format/parse via the new schema functions (they now call `build_system(schema, ...)` etc.). +6. **Testing & documentation** + - Add unit tests in `crates/dspy-rs/tests/module_authoring.rs` covering: + * Generic/flatten `Signature` derive round-trip: instantiate a test signature with `#[flatten]`, assert `SignatureSchema::of::().field_paths()` contains expected `FieldPath`s, and assert `build_system` includes flattened names. + * Module chain: construct stub modules implementing the new trait, wire them through `CallOutcome`, invoke `ForwardPipeline::call` (or similar), and assert `outcome.value.answer == "expected"` plus `outcome.metadata.raw_response.is_some()` and `outcome.metadata.field_paths.contains("flattened.field")`. + * Adapter helpers: feed a `SignatureSchema` and deterministic `response` string into `parse_output::` and assert parsed struct equals the expected facet-derived data with `assert_eq!(parsed.answer, "ok"); + * Schema cache uniqueness: add `#[test] fn schema_cache_is_per_monomorphization()` asserting pointers of `SignatureSchema::of::>()` and `SignatureSchema::of::>()` differ and at least one field path contains "inner". + + +## Migration sequencing +1. Nucleus (macro + schema) – foundational: ensures `SignatureSchema` can represent flattened generics before Module trait changes go live. +2. Module trait – once schema is stable, switch the trait to typed `Input/Output` to avoid mixing old/ new signatures mid-migration. +3. Adapter helpers – expose the new schema-aware API only after the trait relies on it so modules can swap implementations without breaking compatibility. +4. Module implementations – update each consumer after the helper surface is stable so downstream code compiles immediately. +5. Tests/doc – finish with smoke tests documenting the new workflow and lock behavior via assertions listed above. + +## Tests (assertions + coverage) +1. `crates/dspy-rs/tests/test_signature_schema.rs` + - `#[tokio::test] fn signature_schema_reflects_flattened_paths()` + * `let schema = SignatureSchema::of::();` + * `assert_eq!(schema.field_paths().iter().map(|p| p.lm_name()).collect::>(), vec!["question", "context", "context.detail"]);` +2. `crates/dspy-rs/tests/module_authoring.rs` + - `#[tokio::test] async fn call_outcome_round_trips()` + * Construct `SimpleModule` returning `CallOutcome::with_value(SimpleOutput { answer: "ok" }, metadata)`. + * Compose stub adapter that parses known string. + * `assert_eq!(outcome.value.answer, "ok");` + * `assert!(outcome.metadata.raw_response.contains("ok"));` + * `assert!(outcome.metadata.field_paths.iter().any(|path| path.lm_name() == "instructions"));` +3. `crates/dspy-rs/tests/chat_adapter_schema.rs` + - `#[test] fn adapter_helpers_round_trip()` + * Feed a deterministic chat response referencing flattened fields. + * `let parsed = parse_output::(&schema, "answer: ok\ncontext.detail: meta").unwrap();` + * `assert_eq!(parsed.answer, "ok");` + * `assert_eq!(parsed.context_detail, "meta");` +4. `crates/dspy-rs/tests/signature_derive.rs` + - `#[test] fn derive_thread_generics()` + * Derive `Signature` for `struct Context`. + * `assert!(SchemaCache::of::>().is_unique());` + * `assert!(schema.field_paths().iter().any(|path| path.lm_name().starts_with("context")));` + +## Next steps / validation +- After implementation, run `cargo test -p dspy-rs --lib --tests` plus `cargo test -p dsrs-macros --lib` to ensure new derive macros and module surfaces compile. +- Document the new workflow under `docs/specs/modules/module_authoring.md` (if not already present) referencing the new helper functions and trait signatures. diff --git a/docs/plans/modules/slice_3_refinery.md b/docs/plans/modules/slice_3_refinery.md new file mode 100644 index 00000000..a44b0155 --- /dev/null +++ b/docs/plans/modules/slice_3_refinery.md @@ -0,0 +1,30 @@ +# Slice 3 Refinery: Module authoring drilling + +## Sources +- `docs/specs/modules/breadboard.md` +- `docs/specs/modules/shapes.md` +- `docs/specs/modules/design_reference.md` + +## 1. Spec fidelity +- The shaping & design specs (F1/F2/F3/F4/F12) require that signatures, schemas, and modules share a single Facet-driven metadata stack rather than the legacy `FieldMetadataSpec` arrays. The current plan explicitly rewrites the macro and schema builder to walk `Facet::schema()` data (see `Ordered edit steps` 1‑2) but the text never states that the old helpers must be deleted; callouts to `Facet::reflect::()` should highlight that `FieldMetadataSpec` can be retired in this slice, otherwise there is risk of lingering dual schemas. +- Breadboard P1/P2/U51 expectations specify that module combinators exist as a P1 ramp without leaking `impl Module` complexity. The plan touches the new trait and tests modules, but it does not mention re-validating `Map`/`.and_then()` combinators or the Facet transparency they require (see `Breadboard` discussion around `N18` errors). Add an explicit step or test so the P1→P2 ramp stays wired. +- The design reference (F5/F6/F8) insists that any `Predict` leaf registers `dsrs::parameter` metadata so the optimizer walker can find it. Step 3 only mentions keeping helper `batch` functions in the module crate; please state that `Predict` continues carrying the attribute (and that the discovery payload is unchanged) so front-line schema tests confirm optimizer bridges stay intact. + +## 2. Shape compliance (F4/F12) +- `Module` now matches the spec signature: `async fn forward(&self, input: Self::Input) -> CallOutcome` with `Input/Output: BamlType + Facet + Send + Sync + 'static`. The plan uses the same trait signature in section 1, so compliance is satisfied as long as `CallOutcome` remains the sole return surface (no parallel `Result`, no `forward_result`). +- The `Signature` derive rewrite fights the F12 requirement for generic/flattened outputs. The plan already calls for testing the generated `FieldPath`s and LM names, but make sure the new derive also publishes `Facet` metadata that includes the `FieldPath` primer (see `design_reference`, F2) for downstream adapter helpers. + +## 3. Breadboard consistency (places/affordances/boundaries) +- Place P1 (module consumers) and P2 (module authors) appear throughout the plan: summary points 1‑3 focus on typed calling, schema helpers, and adapter building blocks, which align with U1‑U9/U48/U51. The plan currently lacks any mention of P3/P4 affordances (optimizer or graph), which is fine for this slice, but capture in the refinement notes that the optimizer bridge (`N18`/`S2`) and program graph (`F9`/`F10`) need zero regression as downstream steps. This helps keep the breadboard boundary map alive. + +## 4. Sequencing sanity & hidden dependencies +- The ordered steps go macro→schema→trait→adapter→implementations→tests, which respects the dependency graph (schema must exist before the trait, the trait must exist before consumers, tests last). Ensure that step 2 explicitly establishes the `SignatureSchema` cache (`TypeId` → `'static`) before step 3 runs so `schema::of::()` can be a static faster path that all modules call. Likewise, adapter helper exposure must wait until the schema surface is stabilized to avoid interim `MetaSignature` references. + +## 5. API design consistency with repo patterns +- The plan keeps `async_trait` and the existing `CallOutcome` ergonomics and even preserves `forward_all` as a free function — this matches the async/utility style of `crates/dspy-rs`. The adapter helpers are rewritten to accept `SignatureSchema` instead of `MetaSignature`, mirroring the design document's `SignatureSchema` builder helpers. Just call out that new helper names (e.g., `format_input(schema, input)` vs `format_input_typed`) should follow the existing naming convention (snake_case, descriptive) and stay in `adapter::chat` so the rest of the crate sees them the same way. + +## 6. Over-engineering check +- The plan sticks to a single slice of work (module authoring) without introducing extra features (no new optimizers or graph mechanics). The testing matrix is comprehensive but proportionate to the new surface: 4 tests cover schema reflection, `CallOutcome`, adapter helpers, and derive generic bounds. No additional scaffolding is proposed, so over-engineering does not appear to be a risk here. + +## 7. Test comprehensiveness +- The authored tests hit the right guardrails: flatten path coverage, `CallOutcome` metadata, adapter parse round-trips, and generic signature caching. One missing assertion is the `SignatureSchema` cache key: the shaping doc warns about a `OnceLock` per monomorphized signature (S1). Add an explicit test that `schema_cache::>()` and `schema_cache::>()` return distinct addresses to prevent the old bug where a generic `OnceLock` is shared across all monomorphizations. diff --git a/docs/plans/modules/slice_3_research.md b/docs/plans/modules/slice_3_research.md new file mode 100644 index 00000000..2066f449 --- /dev/null +++ b/docs/plans/modules/slice_3_research.md @@ -0,0 +1,52 @@ +# Slice 3 Research: Module authoring + +## Required outcomes (V3 focus) +1. Enable P2 developers to write new modules by wiring generic signatures + adapter helpers instead of reimplementing prompt mechanics, mirroring the breadboard V3 story (`docs/specs/modules/breadboard.md:318-374`). +2. Ship F4 module trait semantics with `Module::forward(input)` returning `CallOutcome` while exposing typed Input/Output associated types so swapping strategies is a compile-time substitution (`docs/specs/modules/shapes.md:60-85`, `docs/specs/modules/design_reference.md:359-388`). +3. Support F12 generic `#[derive(Signature)]` + `#[flatten]` so modules that orchestrate other strategies can reuse reusable signatures, per the S1 spike resolution (Option C: full Facet-derived schema replacement, `docs/specs/modules/design_reference.md:167-240`, `docs/specs/modules/spikes/S1-generic-signature-derive.md`). +4. Provide F7 adapter building blocks (`build_system`, `format_input`, `format_output`, `parse_sections`, `parse_output`) on `SignatureSchema` so advanced modules (ReAct, BestOfN, custom paths) can compose prompts/parse results without reimplementing parsing (`docs/specs/modules/design_reference.md:576-672`). + +## Current code baseline +### Module trait (outdated shape) +- `crates/dspy-rs/src/core/module.rs:1-108` defines `pub trait Module: Send + Sync { async fn forward(&self, inputs: Example) -> CallOutcome; ... }`. The trait operates on the legacy `Example/Prediction` pair and contains `forward_untyped` + `batch` helpers rather than tying input/output to the trait itself. +- `CallOutcome` already exists (`crates/dspy-rs/src/core/call_outcome.rs:1-210`) and encapsulates metadata, but `Module` never surfaces the typed `CallOutcome` the spec expects. + +### Signature infrastructure +- `crates/dspy-rs/src/core/signature.rs:1-90`: `Signature` trait still exposes `input_shape`, `output_shape`, `input_field_metadata`, and static `FieldSpec` arrays. `MetaSignature` is used by legacy adapters, and the trait is heavy on manual metadata rather than Facet reflection. +- `crates/dspy-rs/src/core/schema.rs:1-199` already has `SignatureSchema` + `FieldPath`, but the builder still depends on the old metadata (collect_fields pulls from `S::input_field_metadata()`/`FieldMetadataSpec`). The schema cache is once-and-for-all, but `FieldPath` usage is limited to a handful of typed helpers. +- `crates/dsrs-macros/src/lib.rs` (per `docs/specs/modules/spikes/S1...`) does not forward generics or `#[flatten]` to the generated helper types, so the derive cannot produce the `BamlType`/`Facet` metadata the spec needs. + +### ChatAdapter / adapter helpers +- `crates/dspy-rs/src/adapter/chat.rs:400-930` provides typed helpers such as `format_system_message_typed`, `format_user_message_typed`, `format_assistant_message_typed`, and `parse_response_typed`. They already use `SignatureSchema::of::()` and `FieldPath` traversal, but the helper boundary still targets `Signature` (via `S::schema()`) rather than the canonical builder functions described for F7. `parse_sections` and `insert_baml_at_path` exist but are private utilities. +- The `Adapter` trait implementation in the same file still depends on `MetaSignature`/legacy `format`/`parse` APIs, so module authors wanting fine control cannot call the lower-level pieces directly. + +## Required types/signatures (per spec) +- **Module trait**: `#[async_trait] pub trait Module { type Input: BamlType + Facet + Send + Sync; type Output: BamlType + Facet + Send + Sync; async fn forward(&self, input: Self::Input) -> CallOutcome; }` with `CallOutcome` carrying metadata (`docs/specs/modules/design_reference.md:359-388`). This makes any `Module` composable in typed pipelines. +- **Signature / SignatureSchema**: The derive should only require `Signature::Input`, `::Output`, and `fn instructions()`. `SignatureSchema::of::()` must be entirely Facet-derived and track `FieldPath`s so adapter builders can format/parse nested/flattened fields (`docs/specs/modules/design_reference.md:167-240`, `docs/specs/modules/design_reference.md:576-672`). `SignatureSchema` already exists (the builder is in `crates/dspy-rs/src/core/schema.rs:1-199`), but the foundational metadata needs to drop `FieldMetadataSpec` reliance and instead reflect on `Facet` shapes. +- **Adapter building blocks**: Public API around `ChatAdapter` should include `build_system(schema, override)`, `format_input(schema, &input)`, `format_output(schema, &output)`, `parse_sections(content)`, and `parse_output::(schema, &response)` so V3 authors can assemble prompts/outputs without reusing `MetaSignature` (`docs/specs/modules/design_reference.md:576-672`). Helper internals already exist (`format_user_message_typed`, `parse_response_typed`, `parse_sections`, `insert_baml_at_path`), but they must be re-exposed in the new surface. +- **Generic Signature derive / flatten support**: Spread generics across generated `Input`/`Output` helper types and carry `#[facet(flatten)]` metadata through to runtime so flattened field paths are available (`docs/specs/modules/shapes.md:60-90`, `docs/specs/modules/spikes/S1-generic-signature-derive.md`). +- **CallOutcome**: Already defined in `crates/dspy-rs/src/core/call_outcome.rs:1-210`, it can be reused directly for `Module::forward` once the trait shifts to typed inputs/outputs. + +## Gaps between spec and repo +1. **Module trait mismatch**: Spec wants typed Input/Output associated types and `CallOutcome`, but current trait works with `Example`/`Prediction` and exposes `forward_untyped`/`batch`. No typed composition surface exists (`crates/dspy-rs/src/core/module.rs:1-108`). +2. **Signature derive limitations**: The derive macros and runtime metadata still emit static `FieldSpec`/`FieldMetadataSpec`, not Facet-driven `SignatureSchema`. The macros do not thread generics or recognize `#[flatten]`, so generic signature authors cannot build modules yet (`docs/specs/modules/spikes/S1-generic-signature-derive.md`). +3. **Adapter building block access**: The typed `ChatAdapter` helpers live behind `format_*_typed` + `parse_response_typed`, which are high-level and tied to `Signature`. There is no public `build_system(schema, ...)` / `format_input(schema, &input)` surface for module authors to reuse, nor is `parse_output` exported as a schema-aware function (`crates/dspy-rs/src/adapter/chat.rs:400-930`). +4. **MetaSignature/legacy path still present**: The `Adapter` trait implementation uses `MetaSignature` (legacy) and retains `format_system_message`, `parse_response_strict`, etc., so migrating module authoring to the typed path requires carefully removing or aliasing the legacy surface. +5. **Flatten-aware runtime metadata**: While `SignatureSchema` stores `FieldPath`, the builder still depends on manual metadata arrays rather than computing them from `Facet`, so flattened signatures cannot be derived without manual `FieldMetadataSpec` hacks (`crates/dspy-rs/src/core/schema.rs:1-199` and `crates/dspy-rs/src/core/signature.rs:1-90`). + +## Practical implementation approach for Slice 3 +1. **Finalize Signature derive + schema plumbing (S1 Option C).** + - Thread generics and bounds through the macro so `Foo` produces `FooInput`/`FooOutput` with the same constraints and the derive emits `#[facet(flatten)]` or equivalent for `#[flatten]` fields. Update `SignatureSchema::build` to reflect on `Facet` shapes (`crates/dspy-rs/src/core/schema.rs`) so adapters/metadata use the new shape-based field lists instead of `FieldMetadataSpec`. Document this as the key enabler for module authoring; when macros can handle generics + flatten, modules can chain arbitrary signatures. +2. **Rewrite `Module` trait to the spec shape.** + - Replace the legacy `Module` trait in `crates/dspy-rs/src/core/module.rs` with the async trait that binds `type Input`/`type Output` and returns `CallOutcome`. Keep or move `batch` helpers elsewhere (e.g., free function `dsrs::forward_all`) so the trait stays minimal. Ensure existing modules such as `Predict`, `ChainOfThought`, `ReAct`, and future composites implement the new trait. +3. **Surface adapter building blocks**. + - Refactor `crates/dspy-rs/src/adapter/chat.rs` to expose the schema-aware helpers the spec calls out: `build_system(schema, instruction_override)`, `format_input(schema, &input)`, `format_output(schema, &output)`, `parse_sections(content)`, and `parse_output::(schema, &response)`. Internally reuse the existing implementations of these behaviors but decouple them from `Signature`. This surfacing lets module authors call the same primitives used by `Predict` (F7). Keep the legacy `Adapter` trait implementation intact during migration but route its implementations through the new helpers. +4. **Lock the typed path to `CallOutcome`.** + - Update `Predict`, `ChainOfThought`, and other modules to use the new module trait return value and to forward metadata via `CallOutcome`. Ensure the typed path still populates `CallMetadata` (raw response, field meta, tool usage) so module authors / optimizers can inspect it. +5. **Test the authoring path end-to-end.** + - Add a smoke module (e.g., `SimpleRAG`) in tests that composes two modules with generic signatures, uses adapter builder functions directly, and asserts the `CallOutcome` metadata flows correctly. Include new tests for generic + flattened signature derive behavior (per S1) plus `ChatAdapter` parse/format coverage for flattened fields. + +### Next steps +1. Coordinate Slice 3 with Slice 2 deliverables already in flight (augmentations + ChainOfThought) so the module authoring surface can reuse those components once the trait and signature derive stabilize. +2. Once Slice 3 implements the spec surface, remove `MetaSignature`/legacy adapters via the plan laid out in Slice 1/2 documents to avoid dual metadata systems. +3. Document the new module authoring workflow (module trait + adapter helpers) in the `docs/` tree so future contributors know how to compose modules without rewriting macros. diff --git a/docs/plans/modules/slice_3_review.md b/docs/plans/modules/slice_3_review.md new file mode 100644 index 00000000..8a5bfda5 --- /dev/null +++ b/docs/plans/modules/slice_3_review.md @@ -0,0 +1,93 @@ +# Slice 3 Adversarial Review (Module Authoring) + +Date: 2026-02-09 +Scope: Slice 3 only (`F4`, `F12`, `U21–U27`, `N15`) with emphasis on: +- Module trait migration +- Generic/flatten signature derive behavior +- Adapter schema helper exposure +- Example authoring syntax + +Authority docs used: +- `docs/specs/modules/breadboard.md` +- `docs/specs/modules/shapes.md` +- `docs/specs/modules/design_reference.md` +- Spikes: `S1`, `S2`, `S3`, `S6`, `S7` + +## Findings + +### High + +1. **Option-C full replacement is not complete; legacy `MetaSignature`/`LegacyPredict` path remains active.** +- Spec expectation: + - `docs/specs/modules/design_reference.md:32` says no parallel schema systems. + - `docs/specs/modules/design_reference.md:997` and `docs/specs/modules/design_reference.md:1002` (plus `docs/specs/modules/shapes.md:139`, `docs/specs/modules/shapes.md:144`) resolve S1/S6 to full replacement (no migration bridge). +- Current code: + - `crates/dspy-rs/src/core/signature.rs:23` keeps `MetaSignature` as a primary trait. + - `crates/dspy-rs/src/adapter/mod.rs:15` keeps adapter contract centered on `&dyn MetaSignature`. + - `crates/dspy-rs/src/predictors/predict.rs:538` keeps `LegacyPredict` as an active type. + - `crates/dspy-rs/src/predictors/predict.rs:472` keeps `Predict: MetaSignature` bridge. +- Impact: + - Slice 3 migration ships dual runtime surfaces (typed schema path + legacy meta-signature path), conflicting with the selected “full replacement” architecture. +- Remediation: + - If Option C is authoritative: remove `LegacyPredict`/`MetaSignature` adapter path and move remaining consumers to schema-first APIs. + - If compatibility is intentionally retained: update specs to explicitly permit a bounded compatibility bridge and define removal gates. + +2. **Generic bounds are stripped from generated helper types, contradicting F12’s “thread bounds through generated types.”** +- Spec expectation: + - `docs/specs/modules/design_reference.md:122` requires threading generic parameters **and bounds** through generated types/impls. +- Current code: + - `crates/dsrs-macros/src/lib.rs:522` (`unconstrained_generics`) clears type-param bounds and removes the where clause. + - `crates/dsrs-macros/src/lib.rs:443` uses unconstrained generics for generated input/output/all helper structs. +- Impact: + - Generated helper type declarations can diverge from the user’s declared generic contract and are no longer a faithful projection of the source signature. +- Remediation: + - Preserve original generic bounds/where clauses on generated helper structs. + - Keep separate handling only for truly unused params (phantom marker), without dropping declared constraints globally. + +### Medium + +3. **Generated `__phantom` field leaks into public helper API and is user-visible in generic signatures.** +- Spec expectation: + - `docs/specs/modules/design_reference.md:985` (D7) emphasizes “zero framework tax” module authoring ergonomics. +- Current code: + - `crates/dsrs-macros/src/lib.rs:545` adds a public `__phantom` field for unused generics. + - `crates/dsrs-macros/tests/signature_derive.rs:84` shows callers must manually initialize `__phantom` for `__GenericFlattenSigOutput<_>`. +- Impact: + - Internal macro machinery leaks into author-facing types and complicates demo/output construction. +- Remediation: + - Make marker fields private and auto-initialized in generated constructors/conversions. + - Avoid requiring struct-literal initialization of generated output internals. + +4. **`Module` trait allows untyped `Example`/`Prediction` modules, diverging from the design-reference typed F4 contract.** +- Spec expectation: + - `docs/specs/modules/design_reference.md:364` and `docs/specs/modules/design_reference.md:365` constrain `Module::Input/Output` to typed `BamlType + Facet`. +- Current code: + - `crates/dspy-rs/src/core/module.rs:10` and `crates/dspy-rs/src/core/module.rs:11` only require `Send + Sync + 'static`. + - `crates/dspy-rs/examples/01-simple.rs:61` and `crates/dspy-rs/examples/01-simple.rs:62` continue `Module` authoring. +- Impact: + - Weakens compile-time composition guarantees and blurs Slice 3’s typed module-authoring boundary. +- Remediation: + - Either tighten `Module` bounds to the typed contract, or explicitly codify a separate legacy/untyped module surface in the specs. + +### Low + +5. **Adapter building-block API shape drifts from spec on `build_system` return type.** +- Spec expectation: + - `docs/specs/modules/design_reference.md:583`–`docs/specs/modules/design_reference.md:586` specifies `build_system(...) -> String`. +- Current code: + - `crates/dspy-rs/src/adapter/chat.rs:463`–`crates/dspy-rs/src/adapter/chat.rs:467` exposes `build_system(...) -> Result`. +- Impact: + - Spec/API mismatch for P2 affordance `U23`; authors must handle a failure mode not described in Slice 3 docs. +- Remediation: + - Align implementation to `String` or update specs and slice examples to document fallible behavior. + +## Validation notes + +Commands run: +- `cargo check -p dspy-rs --examples` +- `cargo test -p dsrs_macros --tests` +- `cargo test -p dspy-rs --lib` +- `cargo test -p dspy-rs --test test_signature_macro --test test_signature_schema --test test_chat_adapter_schema` +- `cargo test -p dspy-rs --test test_flatten_roundtrip --test test_typed_prompt_format --test test_with_reasoning_deref` + +Result: all commands passed in current workspace state. diff --git a/docs/plans/modules/slice_4.md b/docs/plans/modules/slice_4.md new file mode 100644 index 00000000..e5b19b06 --- /dev/null +++ b/docs/plans/modules/slice_4.md @@ -0,0 +1,36 @@ +### Summary +Slice 4 delivers the V4 stack described in `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:410-430` by implementing the typed ReAct module (two `Predict` leaves, tool builder, adapter-driven action/extract loop), removing the extra `display_progress` parameter from `dsrs::forward_all` so the ergonomic surface matches `forward_all(&module, inputs, concurrency)`, and adding module combinators that keep the existing `CallOutcome` metadata surface while remaining Facet-discoverable. + +### Implementation Steps +1. Trim `forward_all` back to the 3-argument surface required by U48 so callers simply pass `(module, inputs, max_concurrency)` while still showing progress and preserving sorted, per-input `CallOutcome` metadata. +Files: `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs` +Existing signature(s): `pub async fn forward_all(module: &M, inputs: Vec, max_concurrency: usize, display_progress: bool) -> Vec>` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:22-57`). +New signature(s): `[NEW] pub async fn forward_all(module: &M, inputs: Vec, max_concurrency: usize) -> Vec>` (still sorting by the original index and logging the same debug field counts but without the `display_progress` field in the `tracing::instrument`). +Required imports: keep the existing `use futures::stream::{self, StreamExt};`, `use kdam::{BarExt, tqdm};`, and `use tracing::debug;`; nothing new is required because the progress bar stays inside the same file. +Other changes: adjust every call site (`/Users/darin/src/personal/DSRs/crates/dspy-rs/examples/06-other-providers-batch.rs` and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/evaluate/evaluator.rs`) to drop the `display_progress` argument so the binary call sites compile against the 3-argument helper, and ensure the `fields(...)` annotation inside `tracing::instrument` no longer references `display_progress`. + +2. Introduce `ModuleExt` plus `Map`/`AndThen` wrappers so U51 consumers can derive new modules without reimplementing `Module::forward` while keeping the Facet walker focused on each wrapper's inner predictor state. +Files: create `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module_ext.rs` and re-export it from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs`. +Existing signature(s): the `Module` trait methods (`pub trait Module: Send + Sync { async fn forward(&self, input: Self::Input) -> CallOutcome; }` at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:9-14`) plus the `CallOutcome` helpers `CallOutcome::ok`/`CallOutcome::err`/`CallOutcome::into_parts` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/call_outcome.rs:140-175`). +New signature(s): `[NEW] pub trait ModuleExt: Module + Sized { fn map(self, map: F) -> Map where F: Fn(Self::Output) -> T + Send + Sync + 'static; fn and_then(self, and_then: F) -> AndThen where F: Fn(Self::Output) -> Result + Send + Sync + 'static; }` plus `[NEW] pub struct Map { inner: M, #[facet(skip)] map: F }` and `[NEW] pub struct AndThen` with analogous layout, both deriving `Facet` so the walker still sees `inner` but not the closures. +Required imports: re-use `crate::{CallOutcome, CallOutcomeErrorKind}` when repackaging metadata, and import `facet::Facet` (if macros require) along with `std::marker::PhantomData` if needed for `Facet` boilerplate; no new external crates are required. +Other changes: implement `Module` for both wrappers so they await `self.inner.forward`, call `CallOutcome::into_parts()`, and repackage success via `CallOutcome::ok` while forwarding error kinds unchanged; `and_then` applies a fallible transform on success and always reuses the inner call metadata. Also ensure `core/mod.rs` re-exports the new trait and structs so downstream code can `use dspy_rs::ModuleExt`. + +3. Add the typed ReAct module plus builder so Layer 1 exposes `ReAct::` with two `Predict` leaves, a tool builder that accepts plain async functions, and an action/extract loop that yields `CallOutcome` per U14 and R11. +Files: create `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/react.rs` and update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/mod.rs` to export the new module. +Existing signature(s): `Predict::call(...) -> CallOutcome` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:51-213`), `PredictBuilder` fluent API (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:223-271`), and `ChainOfThought::builder()` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:120-165`) which serve as the template for the ReAct builder. Also rely on the `ReAct`-focused spec (e.g., `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:919-940`) to guide the two-step loop and tool integration. +New signature(s): `[NEW] pub struct ReAct` containing `action: Predict>`, `extract: ChainOfThought>`, and the shared `Vec>`; `[NEW] pub struct ReActBuilder` mirrors `ChainOfThoughtBuilder` but adds `[NEW] pub fn tool(self, name: impl Into, desc: impl Into, tool_fn: T) -> Self where T: ReActTool + Send + Sync + 'static` to wrap plain async handlers into `[NEW] struct ReActPlainTool`, so the builder can feed those handlers into both `PredictBuilder`s before `build()` collects them into the `ReAct` struct. Add `[NEW] pub fn with_extract_closure` or similar if needed to mutate tool-aware builder state. +Required imports: bring in `crate::core::{Module, Signature}`, `crate::modules::chain_of_thought::ChainOfThought`, `crate::predictors::{Predict, PredictBuilder}`, `crate::CallOutcome`, `rig::tool::ToolDyn`, `std::sync::Arc`, and the `facet` macros for the new struct. Also reuse `ChatAdapter` helper methods from `predict.rs` to format prompts/parse action/extract replies, and `CallOutcome` helpers to repackage metadata when the loop terminates. +Other changes: define `[NEW] ActionStep` and `[NEW] ExtractStep` signatures deriving `Signature` with `#[flatten]` fields so the LM sees the original input along with the per-iteration action/observation fields; implement the ReAct loop that calls the action predictor, dispatches to tool handlers (or treats the `final` signal as a terminal observation), feeds the generated observation plus the accumulated history into the extract predictor, and returns the final `S::Output` via `CallOutcome::ok` while carrying the metadata from the last LM interaction. Track metadata through every iteration so tool errors propagate correctly, and mark the ReAct struct with `#[derive(Facet)]` so the optimizer still discovers the `action` and `extract` predictors (see `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md:60-90`). + +4. Add new regression tests that exercise the three new surfaces (`forward_all`, `ModuleExt`, and ReAct builder/loop) to pin down the runtime behavior before writing implementation code. +Files: create `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_forward_all.rs`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_ext.rs`, and `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_react_builder.rs`. +Existing signature(s): `CallOutcome` helpers (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/call_outcome.rs:135-180`) and the `Module` trait (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:9-14`) which the tests will target via small `impl Module` stubs. +New signature(s): `[NEW] async fn test_forward_all_order()` in `test_module_forward_all.rs`, `[NEW] async fn test_module_ext_map_and_and_then()` in `test_module_ext.rs`, and `[NEW] async fn test_react_executes_tool_loop()` in `test_react_builder.rs`, each annotated with `#[tokio::test]` (or `#[cfg_attr(miri, ignore = "...")]` as needed) so they can await `forward_all`/`ModuleExt` wrappers and, for the ReAct test, configure `TestCompletionModel` responses plus simple inlined tool handlers. +Required imports: reuse `crate::core::Module`, `crate::CallOutcome`, and `crate::forward_all` plus `tokio::test`/`tokio::spawn` helpers; the ReAct test will also import `crate::modules::ReAct`, `crate::configure`, `crate::TestCompletionModel`, and any builder helpers introduced above. +Other changes: the ReAct test should assert that the tool handler registered via `.tool(...)` runs and that `forward` returns the parsed `S::Output` produced by the extract `Predict`, while the other two tests assert ordering of `forward_all` results and that `map`/`and_then` correctly transform or propagate `CallOutcome` metadata. + +### Test Plan +1. `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_forward_all.rs` — Assertion: `dsrs::forward_all` still buffers `max_concurrency` futures and reorders its outputs back to the caller’s input order while returning the per-input `CallOutcome`. Setup: simple bespoke `Module` that echoes its input along with `CallMetadata::default()` and a `Vec` of distinct integers; call the 3-arg helper with `max_concurrency` smaller than the input count. Expectation: results match the original order and the `CallOutcome` metadata is preserved even though the futures run out of order. +2. `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_ext.rs` — Assertion: `ModuleExt::map` applies the closure only on success and keeps metadata untouched, while `ModuleExt::and_then` applies a fallible transform that returns `Result` and preserves inner metadata. Setup: a stub module that returns `CallOutcome::ok`/`err` depending on input, wrapping it with `map`/`and_then` closures that mutate the output or return an error kind. Expectation: successful inputs are transformed, failures short-circuit with the original or closure-produced `CallOutcomeErrorKind`, and the metadata carried by `CallOutcome::into_parts()` is reused for mapped outcomes. +3. `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_react_builder.rs` — Assertion: the ReAct builder accepts a plain async `tool` handler and runs the action/extract loop to emit the typed `S::Output` inside a `CallOutcome`. Setup: configure `TestCompletionModel` (see `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/lm/client_registry.rs:1-83`) with canned action and extract responses formatted via `ChatAdapter::parse_sections`, register a tool via the builder that records its invocation arguments, and call `ReAct::forward` with a simple `Signature`. Expectation: the tool handler executes once with the provided arguments, the extract `Predict` parses the final fields into `S::Output`, and the returned `CallOutcome` includes the metadata from the last LM call. diff --git a/docs/plans/modules/slice_4_refinery.md b/docs/plans/modules/slice_4_refinery.md new file mode 100644 index 00000000..9e4229ee --- /dev/null +++ b/docs/plans/modules/slice_4_refinery.md @@ -0,0 +1,20 @@ +### Spec fidelity — Pass +- The plan hits the breadboard must-haves (U14 ReAct builder + tools, U48 `forward_all` as a standalone utility, U51 `.map`/`.and_then` output combinators) and records the surface-level behaviors called out in `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:40-110` and the V4 table at `:410-430`. +- Remaining ambiguity: the spec doesn’t say whether `.and_then` should re-run the tool loop or simply replay the returned `CallOutcome`, so I flagged that assumption for arbitration before code lands. + +### Shape compliance — Pass +- ModuleExt wrappers still implement `Facet` so the walker can reach `inner` predictors, and the new `ReAct` module derives `Facet` while attaching `ActionStep`/`ExtractStep` signatures built via the generic/flatten-friendly derive path (F12, S1, S8 from `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md:60-90`). +- Using `Signature`-derived structs for those steps keeps the type boundaries aligned with the design reference’s typed modules (F4/F11) and ensures `CallOutcome` metadata stays the single return surface (see `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:360-460`). + +### Breadboard consistency — Pass +- ReAct stays in P1/Layer 1, `forward_all` remains a free utility rather than a new Module method, and ModuleExt provides the P1 ramp without hiding inner modules behind trait objects, exactly as the affordance notes demand (`docs/specs/modules/breadboard.md:40-80`, `:90-110`). +- The added `#[facet(skip)]` placeholder plus manual `Facet` impls keep the walker’s path namespace stable, satisfying the requirement that combinators expose their `inner` fields (U51 + N18 in the same document). + +### Sequencing — Pass +- The steps follow a sensible order: tighten `forward_all`, add the combination helpers, then build the ReAct module that relies on those foundations, and finally add regression tests. Nothing in the plan introduces hidden dependencies needing reordering. + +### API design — Pass +- Every new API matches existing patterns: `forward_all(module, inputs, concurrency)` mirrors the spec’s call, `ModuleExt::map/and_then` return wrapper modules that preserve `CallOutcome` metadata, and the ReAct builder exposes `.tool(name, desc, async_fn)` plus typed action/extract stages derived from `Signature` (see `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:919-940`). The only open question is how the `.and_then` metadata should merge inside the ReAct loop, which is already marked for arbitration. + +### Over-engineering — Pass +- Nothing extra is being built beyond the spec’s deliverables; the tests explicitly exercise the three new surfaces so we can fix runtime behavior ahead of coding. No additional layers or extraneous APIs are introduced. diff --git a/docs/plans/modules/slice_4_research.md b/docs/plans/modules/slice_4_research.md new file mode 100644 index 00000000..d50d6f51 --- /dev/null +++ b/docs/plans/modules/slice_4_research.md @@ -0,0 +1,35 @@ +### Spec Requirements +- `U14` / R11 (shapes + breadboard): Deliver the ReAct library module with a builder that wires plain `async` tool handlers (`.tool("name","desc", fn)`) through two `Predict` leaves (action + extraction), reuses the shared adapter pipeline, and returns `CallOutcome` so the tool loop and augmentation stack live entirely in Layer 1/F11. +- `U48` (breadboard): Provide `dsrs::forward_all(&module, inputs, concurrency)` as an ergonomic batch helper that launches up to `max_concurrency` in-flight forwards, reports progress, and returns `Vec>` so the P1 caller can inspect per-input metadata without forcing new trait methods. +- `U51` (breadboard): Expose module combinators (e.g., `Module::map` plus a fallible `and_then`) so P1 users can wrap an existing `Module` with a closure instead of writing `impl Module`; the combinators must remain Facet-transparent (the walker sees the inner module) and preserve `CallOutcome` metadata. + +### Existing Code Inventory +- `pub trait Module: Send + Sync { type Input: Send + Sync + 'static; type Output: Send + Sync + 'static; async fn forward(&self, input: Self::Input) -> CallOutcome; }` — `crates/dspy-rs/src/core/module.rs:8-14` +- `#[tracing::instrument(...)] pub async fn forward_all(module: &M, inputs: Vec, max_concurrency: usize, display_progress: bool) -> Vec> where M: Module + ?Sized` — `crates/dspy-rs/src/core/module.rs:16-58` +- `pub struct CallOutcome { metadata: CallMetadata, result: Result }` plus `CallOutcome::ok`, `CallOutcome::err`, `CallOutcome::into_result`, and the `Deref` impl so every module returns a single `CallOutcome` surface with metadata; see `crates/dspy-rs/src/core/call_outcome.rs:24-225`. +- `pub struct Demo { pub input: S::Input, pub output: S::Output }` and `pub struct Predict { tools: Vec>, demos: Vec>, instruction_override: Option, _marker: PhantomData }` with `Predict::call(&self, input) -> CallOutcome` (instrumented via `#[tracing::instrument]`, `ChatAdapter`, LM invocation, and metadata gathering) and `Predict::builder()` — `crates/dspy-rs/src/predictors/predict.rs:19-213`. +- `pub struct PredictBuilder` with fluent helpers `demo`, `with_demos`, `add_tool`, `with_tools`, `instruction`, and `build` — `crates/dspy-rs/src/predictors/predict.rs:222-271`. +- `#[derive(Augmentation, Clone, Debug)] pub struct Reasoning { #[output] pub reasoning: String }` plus `pub type ChainOfThoughtOutput = WithReasoning<::Output>` — `crates/dspy-rs/src/modules/chain_of_thought.rs:9-17`. +- `pub struct ChainOfThought { predictor: Predict> }` with `ChainOfThought::new`, `call`, `Module` impl returning `CallOutcome>`, and `MetaSignature`/`Optimizable` impls that delegate to the inner `Predict` — `crates/dspy-rs/src/modules/chain_of_thought.rs:18-118`. +- `pub struct ChainOfThoughtBuilder` that proxies to `PredictBuilder>` via `demo`, `with_demos`, `add_tool`, `with_tools`, `instruction`, and `build` — `crates/dspy-rs/src/modules/chain_of_thought.rs:120-165`. + +### Gap Analysis +- `U14` (ReAct builder + tools): [NEW] No `ReAct` module exists yet. The only library module is `ChainOfThought`, so we need to add `ReAct` (two `Predict` leaves plus optional tool set), a builder that accepts plain async functions per R11 instead of just `ToolDyn`, wiring adapter building blocks for the action/extract loop, and exposing `CallOutcome` metadata in the same way `Predict` does. +- `U48` (`dsrs::forward_all`): [MODIFY] `crates/dspy-rs/src/core/module.rs:22` already provides batching semantics and returns `Vec>`, but the current API requires a fourth `display_progress: bool` argument. The slice spec surface is `forward_all(&module, inputs, concurrency)`; add/adjust API to meet that ergonomic contract while preserving current behavior. +- `U51` (`module.map/.and_then`): [NEW] There are no combinators yet. We must add `Map`/`AndThen` (or similar) wrappers, derive Facet while exposing the `inner: M` field, and implement `Module` so closures transform the inner result while preserving `CallOutcome` metadata. The spec mandates that the walker continue to see the inner module (manual Facet impl or `#[facet(flatten)]` on `inner`) even though closures are opaque. + +### Patterns & Conventions +- Fluent builders wrap `PredictBuilder` instances (`ChainOfThoughtBuilder::demo/with_tools/instruction` via `PredictBuilder`) and route final `build` through `Predict::builder()` — follow this pattern when crafting the `ReAct` builder so that demos, tools, and instructions reuse the same `Predict` plumbing (`crates/dspy-rs/src/modules/chain_of_thought.rs:120-165`). +- LM leaf modules keep a single return surface: `Predict::call` formats system/user messages via `ChatAdapter`, calls the LM, parses via `ChatAdapter::parse_response_typed`, and ultimately returns `CallOutcome` with rich `CallMetadata` (`crates/dspy-rs/src/predictors/predict.rs:63-213`). Any new module (including ReAct and combinators) should reuse `CallOutcome` rather than adding new result wrappers. +- Operational helpers use async streams + progress instrumentation: `forward_all` uses `futures::stream::buffer_unordered`, `tqdm!`, and `tracing::instrument` while sorting results to preserve input order (`crates/dspy-rs/src/core/module.rs:16-58`). New concurrency utilities or wrappers should follow the same observable behavior. + +### Spec Ambiguities +- The ReAct tool builder is described as accepting “plain Rust async functions” (`docs/specs/modules/shapes.md:R11`, `docs/specs/modules/breadboard.md:414`), but the current tool stack is built around `rig::tool::ToolDyn`. It’s unclear whether the builder should wrap `Fn(...) -> impl Future` (or `ToolOutcome`) into `ToolDyn`, or expose a dedicated `ToolSpec` that holds the name/description/function pair. +- `U51` mentions both `.map(|output| ...)` and an `.and_then(...)` for fallible transforms, yet the spec doesn’t say whether the closures operate on raw `Output`, on `CallOutcome`, or how `CallMetadata` should be forwarded. Do errors bubble up via `CallOutcomeError`, via `Result`, or should `and_then` accept `FnOnce(Output) -> CallOutcome` directly? +- The requirement that module combinators be “Facet-transparent” (breadboard boundary note) leaves open how to implement map/and_then structs: the closure field can’t derive `Facet`, so we need guidance on how to annotate the struct (e.g., `#[facet(skip)]` on the closure, manual Facet impl that only walks `inner`) and whether additional metadata (path prefix adjustments) is needed to keep the walker deterministic. + +### Recommended Approach +1. Build `ReAct` as a Facet-derived struct that owns two `Predict` leaves (`action`, `extract`) plus the tool registry, exposes a builder modeled on `ChainOfThoughtBuilder`, and implements `Module` by running the action/extract loop outlined in `docs/specs/modules/design_reference.md#12-library-modules`. The builder should accept demos/tools/instruction like the existing builders but also `.tool("name","desc", tool_fn)` that converts tool functions into `ToolDyn` (or a new thin wrapper) so the LM call can pass them to `lm.call`. Track metadata through the same `CallOutcome` path as `Predict::call`. +2. Reuse `dsrs::forward_all` for batching; no new helper is needed unless we discover new requirements during ReAct development. Keep the current progress instrumentation and sorted reassembly of results so batch behavior stays predictable for slice consumers. +3. Introduce module extensions such as `ModuleExt::map` / `and_then` that wrap an inner module and a closure. The wrapper struct should derive Facet (explicitly exposing `inner`; mark the closure `#[facet(skip)]` or hand-write `Facet` if necessary) so the optimizer still sees the `Predict` leaves. Implement `Module` for the wrapper by awaiting `inner.forward`, then applying the closure to the successful output (propagating `CallOutcome` errors unchanged) and returning a new `CallOutcome`. `and_then` can accept closures returning `CallOutcome` to let closures emit rich metadata when they themselves perform LM calls or validations. +4. As part of the implementation, revisit the `Module`/`CallOutcome` surface to ensure the new combinators and ReAct module reuse the existing builder/instrumentation patterns rather than duplicating state. Use the `CallOutcome` metadata API to funnel tool traces and parsing diagnostics all the way through the new wrappers. diff --git a/docs/plans/modules/slice_4_review.md b/docs/plans/modules/slice_4_review.md new file mode 100644 index 00000000..236dc8c1 --- /dev/null +++ b/docs/plans/modules/slice_4_review.md @@ -0,0 +1,18 @@ +### Findings +#### Finding 1 +Severity: high +Category: Shape compliance +Location: crates/dspy-rs/src/modules/react.rs:53-63 +Issue: The new `ReAct` struct is not deriving `facet::Facet`, so the optimizer’s Facet walker never learns about the `action` and `extract` `Predict` leaves. The design doc explicitly says module authors rely on `#[derive(Facet)]` to make their structure “the declaration” (Design Reference §1) and that ReAct must expose two discoverable `Predict` leaves (Design Reference §ReAct). Without the Facet shape, the optimizer cannot reach the leaf predictors, violating F6/F11 and preventing any higher-layer tooling from seeing ReAct internals. +Suggestion: Add `#[derive(facet::Facet)]` (and the necessary `#[facet(skip)]` annotations on `tools`/`max_steps`) so the walker can access `action`/`extract`. Keep the predictor fields public or `pub(crate)` and avoid wrapping them in non-Facet-friendly containers so that the derived shape exposes them as the Optimizer expects. + +#### Finding 2 +Severity: medium +Category: Spec fidelity +Location: crates/dspy-rs/src/modules/react.rs:82-157 +Issue: The ReAct action loop builds prompts by serializing the entire input with `serde_json::to_string`, manually assembling a `trajectory` string, and hard-coding the tool manifest. Design Reference §ReAct explicitly states “Action loop uses adapter building blocks (F7) for dynamic trajectory formatting.” Bypassing `ChatAdapter` / `SignatureSchema` means the action/extract prompts no longer follow the canonical “build system → format input/output → parse sections” pipeline, so the module cannot rely on adapters to handle flattening, instructions, demos, or the `[ [ ## field ## ] ]` framing that every other module uses. +Suggestion: Reuse the existing adapter helpers (`SignatureSchema::of::()`, `ChatAdapter::format_input_typed`, `parse_sections`, etc.) when formatting each action/extract prompt and preserve the canonical prompt text in `trajectory` rather than hand-rolled strings. That keeps ReAct in sync with the rest of the typed path and ensures the module benefits from the same field metadata, instructions, and demo formatting the spec mandates. + +### Summary +Severity counts: high=1, medium=1, low=0 +Overall assessment: The implementation delivers the operational surfaces, but to satisfy the ground-truth spec we must expose ReAct’s predictors through Facet and rebuild the action loop on the shared adapter helpers so prompts/metadata stay consistent with the rest of the module stack. diff --git a/docs/plans/modules/slices_1_3_closure_audit.md b/docs/plans/modules/slices_1_3_closure_audit.md new file mode 100644 index 00000000..7ad2096f --- /dev/null +++ b/docs/plans/modules/slices_1_3_closure_audit.md @@ -0,0 +1,120 @@ +# Slices 1–3 Closure Audit + +Date: 2026-02-09 +Scope: Breadboard vertical slices `V1`, `V2`, `V3` from `docs/specs/modules/breadboard.md`. + +## Audit Method +- Re-read `docs/specs/modules/breadboard.md` slice details and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints for `F1–F4`, `F5`, `F7`, `F11(CoT)`, and `F12`. +- Verify implementation in repo code and tests. +- Classify each slice affordance group as `Implemented`, `Partially Implemented`, or `Deferred`. +- For every non-implemented item, assign an explicit target follow-up phase. + +## New Process Phase +- Added post-commit phase: **Closure Audit**. +- Purpose: explicit bookkeeping pass that confirms each in-scope slice requirement is either implemented or deferred to a named follow-up phase with an owner and exit criteria. + +## Planned Phase 4.5 + +- **Phase 4.5: Cleanup / API Surface Pass** is explicitly scheduled. +- Scope: + - remove or quarantine legacy compatibility surfaces that are no longer needed, + - normalize public API to the intended typed-first authoring model, + - reconcile module/adapter/signature surfaces with spec language, + - reduce transitional glue and tighten invariants before further feature expansion. + +## Long-Term Architecture Position (Recorded) + +Rollout assessment: current slices 1–3 shape is acceptable for incremental delivery. + +End-state assessment: current slices 1–3 shape is not the intended final architecture. + +Current compatibility-heavy surfaces (cross-referenced): +- Legacy schema/predict path still active: + - `crates/dspy-rs/src/core/signature.rs` (`MetaSignature`) + - `crates/dspy-rs/src/predictors/predict.rs` (`LegacyPredict`) + - `crates/dspy-rs/src/adapter/mod.rs` and `crates/dspy-rs/src/adapter/chat.rs` (`&dyn MetaSignature` call/format flow) +- Module trait still permits untyped compatibility shapes: + - `crates/dspy-rs/src/core/module.rs` (`Module::Input/Output` are `Send + Sync + 'static` only) + - Examples still demonstrate legacy-untyped composition: + - `crates/dspy-rs/examples/01-simple.rs` +- Wrapper discoverability for future F6 walker is incomplete: + - `crates/dspy-rs/src/modules/chain_of_thought.rs` (no module-level `Facet` derive yet) +- Generic helper authoring ergonomics remain transitional: + - `crates/dsrs-macros/src/lib.rs` (`unconstrained_generics` helper strategy and generated marker field handling) + - `crates/dsrs-macros/tests/signature_derive.rs` (`__phantom` initialization still visible in same-module test construction) +- Adapter building blocks are available but include a fallible `build_system` surface: + - `crates/dspy-rs/src/adapter/chat.rs` + +Target end-state direction: +1. Remove `MetaSignature`/`LegacyPredict` after schema-first consumer parity and migration gates. +2. Tighten `Module` to typed bounds (`BamlType + Facet`) for library-facing authoring. +3. Make wrapper module discoverability (`ChainOfThought` and combinators) Facet-walker ready. +4. Complete macro helper contract hardening (generic bounds + marker ergonomics). +5. Keep adapter helper fallibility explicit and spec-aligned (implementation/spec convergence). + +## Slice 1 (V1 Typed Call) Accounting + +| Affordance(s) | Status | Evidence | +|---|---|---| +| `U1,U2,U3` Signature derive + markers + doc extraction | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` | +| `U4,U5` generated typed input/output helper types | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` | +| `U6,U7,U8` `Predict` construction/builder/demo | Implemented | `crates/dspy-rs/src/predictors/predict.rs`, `crates/dspy-rs/examples/01-simple.rs` | +| `U9,U10,U11` typed call path (`forward`/`call` + `CallOutcome` + field access) | Implemented | `crates/dspy-rs/src/core/module.rs`, `crates/dspy-rs/src/predictors/predict.rs`, `crates/dspy-rs/tests/test_call_outcome.rs` | +| `U49` parse/error visibility on call path | Implemented | `crates/dspy-rs/src/predictors/predict.rs`, `crates/dspy-rs/src/core/call_outcome.rs` | +| `N1,N2` compile-time macro expansion and instruction extraction | Implemented | `crates/dsrs-macros/src/lib.rs` | +| `N3` `SignatureSchema` derivation/cache | Implemented | `crates/dspy-rs/src/core/schema.rs`, `crates/dspy-rs/tests/test_signature_schema.rs` | +| `N8` schema-driven adapter pipeline | Implemented | `crates/dspy-rs/src/adapter/chat.rs`, `crates/dspy-rs/tests/test_chat_adapter_schema.rs` | +| `N13` typed conversion boundary (`try_from_baml_value`) | Implemented | `crates/dspy-rs/src/adapter/chat.rs`, `crates/dspy-rs/src/predictors/predict.rs` | +| `S1,S2,S3` schema cache + demos + instruction state | Implemented | `crates/dspy-rs/src/core/schema.rs`, `crates/dspy-rs/src/predictors/predict.rs` | + +Slice 1 verdict: **Implemented**. + +## Slice 2 (V2 Augmentation + ChainOfThought) Accounting + +| Affordance(s) | Status | Evidence | +|---|---|---| +| `U12` Deref access to augmented output fields | Implemented | `crates/dspy-rs/src/augmentation.rs`, `crates/dspy-rs/tests/test_with_reasoning_deref.rs` | +| `U13` `ChainOfThought::new()` and builder | Implemented | `crates/dspy-rs/src/modules/chain_of_thought.rs`, `crates/dspy-rs/tests/test_chain_of_thought_swap.rs` | +| `U16` strategy swap ergonomics (`Predict` -> `ChainOfThought`) | Implemented | `crates/dspy-rs/tests/test_chain_of_thought_swap.rs` | +| `U17,U18,U19,U20` augmentation derive and wrapper model | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dspy-rs/src/augmentation.rs` | +| `U28` internal `Predict>` module composition | Implemented | `crates/dspy-rs/src/modules/chain_of_thought.rs` | +| `U29` module-level Facet discoverability (`#[derive(Facet)]` on module struct) | Deferred | `crates/dspy-rs/src/modules/chain_of_thought.rs` (currently no `Facet` derive) | +| `N14` augmentation macro mechanics | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dspy-rs/tests/test_flatten_roundtrip.rs` | + +Slice 2 verdict: **Partially Implemented** (`U29` deferred). + +## Slice 3 (V3 Module Authoring) Accounting + +| Affordance(s) | Status | Evidence | +|---|---|---| +| `U21,U22` generic signature derive + flatten behavior | Partially Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` (functional flatten/generics pass; helper-generic bound threading mismatch deferred) | +| `U23,U24,U25,U26` adapter building blocks | Partially Implemented | `crates/dspy-rs/src/adapter/chat.rs` (`build_system`, `format_input`, `parse_sections`, `parse_output` are exposed; `build_system` return type differs from design-reference sketch) | +| `U27` custom `impl Module` authoring | Partially Implemented | `crates/dspy-rs/src/core/module.rs`, `crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs` (typed surface works; strict `BamlType + Facet` trait bounds deferred) | +| `N15` generic signature macro support | Partially Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` | + +Slice 3 verdict: **Partially Implemented** (three explicit hardening items deferred). + +## Named/Labeled Smoke Artifacts + +- Kept as stable, labeled examples: + - `crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs` + - `crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs` + - `crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs` + +## Explicit Deferral Ledger + +| Deferred item | Why deferred now | Target phase | Exit criteria | +|---|---|---|---| +| `U29` module-level Facet discoverability for `ChainOfThought` | No active F6 walker consumption in slices 1–3; implementing in isolation risks churn before V5 optimizer boundary lands | **V5 Implement (Optimizer Interface)** | `ChainOfThought` and wrapper modules expose Facet shapes that are consumed by `named_parameters`/walker tests | +| Strict typed `Module` bounds (`Input/Output: BamlType + Facet`) | Compatibility layer still supports legacy `Example/Prediction` modules and examples | **Phase 4.5 Cleanup / API Surface Pass** | `Module` trait bounds tightened; examples/tests updated to typed module inputs/outputs only | +| F12 helper generic bounds threading in generated helper structs | Direct change caused macro trait-resolution breakage; requires deliberate macro redesign, not a one-line patch | **Phase 4.5 Cleanup / API Surface Pass** | Helper type declarations preserve source generic contract while `dsrs-macros` tests remain green | +| `__phantom` helper-field authoring ergonomics | Field is private now, but same-module struct literal ergonomics can still surface it | **Phase 4.5 Cleanup / API Surface Pass** | No user-visible phantom initialization burden in signature macro tests/examples | +| `build_system` return shape mismatch vs design sketch (`Result` vs `String`) | Existing implementation legitimately propagates schema render failures; changing now would hide errors | **Phase 4.5 Cleanup / API Surface Pass** | Either spec updated to fallible API or implementation changed with explicit error-handling policy | +| Option-C full legacy cutover (`MetaSignature`/`LegacyPredict` still active) | Optimizers and adapter compatibility still consume legacy path; removing immediately would break active flows | **Phase 4.5 Cleanup / API Surface Pass** | All consumers migrated to schema-first typed surfaces; legacy path removed behind clear migration note | + +## Validation Run During Closure Audit + +- `cargo test -p dsrs_macros --tests` +- `cargo test -p dspy-rs --test test_call_outcome --test test_signature_schema --test test_chat_adapter_schema --test test_flatten_roundtrip --test test_chain_of_thought_swap --test test_with_reasoning_deref` + +Both command groups passed in current workspace state. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index fa3d5dce..7eb0cb95 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,7 +1,7 @@ # Implementation Tracker ## Current State -- **Slice**: 2 +- **Slice**: 4 - **Phase**: Commit ## Active Subagents @@ -25,9 +25,28 @@ | `019c43be-fa6e-7080-97d8-08ceaab8c4db` | Implement Slice 2 plan in code/tests | 2 | Implement | Partial; macro conflicts required manual completion and additional adapter/schema adjustments to align flattened augmentation fields | | `019c43e9-045c-7693-bc73-2e13531c3b28` | Adversarial review against ground truth | 2 | Adversarial Review | Completed; produced `slice_2_review.md` with three findings (missing Facet on `ChainOfThought`, untyped `Module::forward` mismatch against design example, and empty legacy `parameters()` visibility) | | `019c4412-6e17-7fb2-8abf-321f4e4d415e` | Apply agreed Slice 2 arbitration fix (legacy optimizer visibility) | 2 | Arbitrate | Completed; updated `ChainOfThought::parameters()` to expose `predictor` and added regression test `chain_of_thought_parameters_expose_predictor_for_legacy_optimizers` | +| `019c4415-5851-70e3-8e74-bc49d59c9f86` | Research brief for Slice 3 (module authoring) | 3 | Research | Failed; no output | Subagent rejected by prompt-policy guard before execution; replacing with narrower prompt | +| `019c4415-ba6f-7b91-a931-e09e979b47b7` | Research brief for Slice 3 (module authoring) | 3 | Research | Completed; produced `slice_3_research.md` covering V3/F4/F12 requirements, current code references, and migration gaps | Reviewed and accepted with added caution on trait migration blast radius | +| `019c441e-01f4-75f1-9905-3da3bf970159` | Stupidly implementable plan for Slice 3 (module authoring) | 3 | Plan | Completed; produced `slice_3.md` with sequencing/tests for V3 migration | Initial review found directional correctness but concrete API/name mismatches requiring refinery correction | +| `019c441f-07b6-7d00-a7cd-7c47d3714b5b` | Plan refinery against ground truth for Slice 3 | 3 | Plan Refinery | Completed; produced `slice_3_refinery.md` and updated `slice_3.md` with coverage notes, including explicit test comprehensiveness check | No unresolved `NEEDS ARBITRATION` markers remained; final arbitration moved to direct code-grounded implementation due stale/non-existent API names still present in the plan text | +| `019c4439-b9ac-7721-885e-6147e96f8d40` | Adversarial review against ground truth for Slice 3 | 3 | Adversarial Review | Completed; produced `slice_3_review.md` with 2 high, 2 medium, 1 low finding | Findings reviewed during Arbitrate; no additional fix subagent required for this slice pass | +| `manual` | Closure audit and bookkeeping pass for slices 1–3 | 3 | Closure Audit | Completed; created `slices_1_3_closure_audit.md`, removed stale unresolved marker from `slice_2_refinery.md`, and mapped all non-implemented items to explicit follow-up phases | Closure audit introduces explicit post-commit phase `Closure Audit` for future slices as well | +| `019c4458-b5c5-7bd3-9c7e-82b427d6ca36` | Research brief for Slice 4 (ReAct + operational affordances) | 4 | Research | Completed; produced `slice_4_research.md` with V4 requirement inventory and repo-grounded gap analysis | Amended post-review to mark `U48` as `[MODIFY]` because current `forward_all` requires a fourth `display_progress` arg versus spec’s 3-arg ergonomic surface | +| `019c445d-861f-7d93-b2af-28bdcfb3e3da` | Stupidly implementable plan for Slice 4 (ReAct + operational affordances) | 4 | Plan | Failed/no output | Subagent prompt was blocked by policy guard before execution; replacing with narrower prompt | +| `019c4461-f155-7233-8244-25d9491d2957` | Replacement planning brief for Slice 4 (ReAct + operational affordances) | 4 | Plan | Completed; generated `slice_4.md` with implementation/test steps for U14/U48/U51 | Initial review accepted direction; flagged speculative details (`#[facet(skip)]` closure handling and ReAct tool-wrapper API shape) for plan refinery arbitration | +| `019c4467-1e16-7b82-a306-2989dd593944` | Plan refinery against ground truth for Slice 4 | 4 | Plan Refinery | Completed; produced `slice_4_refinery.md` and updated `slice_4.md` with spec/shape consistency checks | One ambiguity surfaced (`and_then` metadata semantics) and was resolved during arbitration in the approved plan | +| `019c4475-b295-75b0-8b03-ecfd11932e5f` | Adversarial review against ground truth for Slice 4 | 4 | Adversarial Review | Completed; produced `slice_4_review.md` with one high and one medium finding | High: ReAct missing `Facet` derivation/discoverability. Medium: ReAct loop prompt formatting bypasses adapter building blocks | +| `019c4478-d3ef-76b1-98e9-cbf5f4d127ec` | Apply agreed Slice 4 arbitrate fix (ReAct Facet discoverability) | 4 | Arbitrate | Completed; added `facet::Facet` derive on `ReAct` and skipped non-discoverable fields (`tools`, `max_steps`) while keeping predictor fields discoverable | Verified by `cargo check -p dspy-rs`, then re-ran targeted tests and Slice 4 smoke successfully | ## Decisions & Architectural Notes +- **State normalization (2026-02-09):** Tracker advanced from stale `Slice 3 / Done` to `Slice 4 / Research` per closure-audit transition rule (slice < 4 advances to next slice research). +- **Slice 4 research arbitration (2026-02-09):** Reclassified `U48` from `[EXISTS]` to `[MODIFY]` in `slice_4_research.md`; batching semantics are present, but API shape currently requires `display_progress` and does not match breadboard’s 3-arg `forward_all(&module, inputs, concurrency)`. +- **Slice 4 plan review (2026-02-09):** Accepted high-level sequencing (U48 surface alignment → U51 combinators → U14 ReAct + tests), but flagged two areas for refinery against code/spec: (1) exact Facet strategy for closure-bearing wrappers (`Map`/`AndThen`), and (2) concrete plain-function tool adapter surface for ReAct builder. +- **Slice 4 refinery arbitration (2026-02-09):** Resolved `and_then` metadata ambiguity by locking `ModuleExt::and_then` to a fallible transform signature `Fn(Output) -> Result` that preserves inner call metadata; removed stale `NEEDS ARBITRATION` marker from `slice_4.md`. +- **Slice 4 smoke test (2026-02-09):** Real LM call passed end-to-end via `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` (loaded `.env`, model `openai:gpt-5.2`), returning `answer: smoke-ok`. +- **Slice 4 arbitrate (2026-02-09):** Agreed with high finding on ReAct Facet discoverability and fixed in `modules/react.rs`. Re-ran compile/tests and smoke after fix; smoke now reports `tool_executions: 1`, `answer: smoke-ok`. +- **Slice 4 arbitrate (2026-02-09):** Disagreed with medium finding (“ReAct bypasses adapter building blocks”) for this slice: both action/extract calls execute through `Predict::call` → `ChatAdapter` pipeline (`N8/F7`). The hand-built `trajectory` string is module orchestration state, not a replacement parsing/formatting pipeline; no immediate correctness gap observed in tests/smoke. - Slice definitions for this execution are V1-V3 from `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (V1 Typed call, V2 Augmentation + CoT, V3 Module authoring). - Ground truth hierarchy for arbitration is: breadboard + shapes + design_reference + spikes S1-S8. - **Locked (2026-02-09):** N8/typed call default return is `CallOutcome` (metadata-first). `call_with_meta` is folded into `call`; there is no separate convenience path like `forward_result`. @@ -48,18 +67,33 @@ - **Slice 2 smoke test (2026-02-09):** Real LM calls passed end-to-end against `openai:gpt-5.2` via named examples: `cargo run -p dspy-rs --example 90-smoke-slice1-typed-predict` (`answer = smoke-ok`) and `cargo run -p dspy-rs --example 91-smoke-slice2-chain-of-thought` (`answer = smoke-ok`, reasoning populated). - **Slice 2 arbitrate (2026-02-09):** Accepted finding on legacy optimizer visibility and fixed by exposing `predictor` through `ChainOfThought::parameters()`. Re-ran Slice 2 smoke test after fix; still passes (`answer = smoke-ok`). - **Slice 2 arbitrate (2026-02-09):** Deferred review findings on `Facet` derivation and typed `Module::forward` as cross-slice architectural alignment work; current Slice 2 deliverable remains consistent with the existing `Module` trait contract introduced in Slice 1. +- **Slice 2 commit (2026-02-09):** `owmrznzo` / `748368c8` — "slice2: implement augmentation + chain-of-thought module". +- **Slice 3 research (2026-02-09):** Accepted recommendation that V3 requires completing F4/F12 (typed `Module` surface + generic/flatten signature authoring) and exposing schema-driven adapter building blocks; this is a high-blast-radius migration that must preserve `CallOutcome` metadata semantics. +- **Slice 3 plan review (2026-02-09):** Accepted high-level sequencing (schema/derive → trait migration → adapter surface → module updates → tests), but flagged concrete type/API drift in the draft plan (non-existent symbols like `ChatMessage`/`schema_from_signature`, incorrect import ownership for `BamlType`). Refine against ground truth before implementation. +- **Slice 3 refinery arbitration (2026-02-09):** Refined plan passed fidelity/shape/breadboard/sequencing/API/over-engineering checks and explicit test-comprehensiveness review, but implementation will use in-repo symbols as source of truth where plan text still references speculative names. +- **Process note (2026-02-09):** Planning subagent prompts must explicitly require grounding in the repository (current code paths/patterns), in addition to the research doc and tracker decisions, to avoid speculative API names. +- **Slice 3 implementation (2026-02-09):** Completed typed module-authoring migration across core and examples: `Module` now uses associated `Input`/`Output`, `forward_all` free helper is used for batching, generic signature derive supports flatten with generated helper structs + Facet/BamlSchema plumbing, and schema-first adapter helpers are exposed for system/input/output formatting and parse paths. +- **Slice 3 implementation (2026-02-09):** Migrated examples to the new authoring syntax (`CallOutcome` handling, removed `call_with_meta`, replaced member `.batch(...)` with `forward_all(...)`) and added labeled smoke example `crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs`. +- **Slice 3 validation (2026-02-09):** `cargo check -p dspy-rs -p dsrs_macros`, `cargo test -p dsrs_macros --tests`, `cargo test -p dspy-rs --lib --tests`, and `cargo check -p dspy-rs --examples` all pass. +- **Slice 3 smoke test (2026-02-09):** Loaded `.env` and ran labeled real-model smokes against `openai:gpt-5.2`: `90-smoke-slice1-typed-predict`, `91-smoke-slice2-chain-of-thought`, and `92-smoke-slice3-module-authoring`; all returned `answer: smoke-ok`. +- **Slice 3 arbitration (2026-02-09):** Review finding on `__phantom` public leakage is stale after current implementation (`__phantom` is private). Other findings (Option-C full legacy removal, strict typed bounds on `Module`, and `build_system` fallibility) are recorded as intentional scope/compatibility tradeoffs for Slice 3 and deferred for explicit future architectural decision. +- **Slice 3 commit (2026-02-09):** Change `strkwqpy` — "slice3: implement module authoring syntax and schema helpers". +- **Process decision (2026-02-09):** Add explicit phase `Closure Audit` after `Commit` and before `Done` for slices that complete implementation. The phase output is a requirements ledger that marks each in-scope item as Implemented / Partially Implemented / Deferred with evidence and a named follow-up phase. +- **Closure audit result (2026-02-09):** `docs/plans/modules/slices_1_3_closure_audit.md` is the source of truth for slices 1–3 accounting. Summary: V1 implemented; V2 partially implemented (U29 deferred); V3 partially implemented (typed-bound/generic-hardening + legacy-cutover deferrals). +- **Deferral mapping (2026-02-09):** Assigned explicit follow-up phases: `Phase 4.5 Cleanup / API Surface Pass` (typed module bounds + generic helper contract + phantom ergonomics + `build_system` API/spec reconciliation + legacy cutover prep/removal) and `V5 Implement` (Facet walker discoverability for module wrappers). +- **Planning update (2026-02-09):** Consolidated deferred cleanup items into an explicit **Phase 4.5: Cleanup / API Surface Pass**. This phase is now the canonical destination for strict typed module bounds, macro helper generic/ergonomic cleanup, adapter surface reconciliation, and legacy API cutover prep/removal. ## Stumbling Blocks - Existing tracker lacked `Current State` fields from the required template; normalized before continuing to avoid ambiguous phase transitions. - Initial research draft mixed Slice 1 scope with Slice 2/5 artifacts (augmentation and DynPredictor migration). Corrected to keep Slice 1 deliverables focused on V1 call path while preserving cross-slice constraints. - Implementation subagent introduced unexpected edits outside assigned ownership (`optimizer/gepa.rs`, `optimizer/mipro.rs`) while attempting to satisfy compile ripple effects from `Module` return type changes. -- `cargo check -p dspy-rs -p dsrs_macros` and both test suites now pass, but `cargo check -p dspy-rs --examples` still fails because examples have not yet been migrated to the new `Module::forward` / `CallOutcome` interfaces. +- `cargo check -p dspy-rs --examples` initially failed after the module trait migration due stale example syntax (`call_with_meta`, untyped `Module` impls, member `.batch(...)`). Resolved by updating all impacted examples and adding a Slice 3 smoke example. - Slice 2 planning subagent produced no deliverable (`slice_2.md` missing) and had to be replaced. - Slice 2 adversarial review subagent took longer than expected; waited through multiple polls before completion. +- Slice 3 research confirms V3 is not incremental polish: it requires trait-shape migration across core module/predictor surfaces and may ripple into optimizer and examples. ## Open Questions -- If nightly `try_trait_v2` introduces instability during implementation, decide whether to keep `Try` behind cfg while preserving `into_result()` as non-divergent baseline. -- Whether Slice 1 should include an explicit follow-up example migration pass (`--examples` currently failing on old `Result`-based module signatures and removed `call_with_meta` usage). -- Aligning `ChainOfThought` with eventual F6/F10 Facet-walker discovery and the typed module trait story from `design_reference.md` is still open and should be re-evaluated in the slice that introduces the new walker/typed module boundary. +- `Phase 4.5 Cleanup / API Surface Pass`: execute strict typed `Module` bounds, generic-helper/`__phantom` cleanup, `build_system` API/spec reconciliation, and legacy-surface cutover. +- `V5 Implement`: wire Facet walker discoverability for wrapper modules (`ChainOfThought` and future combinators) as the canonical replacement for legacy `Optimizable` traversal. From 01efcca3d856365dd9e6d5b8ccea471770efcd3f Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 14:26:27 -0800 Subject: [PATCH 07/22] cleanup: close post-implementation audit items --- .../dspy-rs/src/modules/chain_of_thought.rs | 4 +- docs/plans/modules/slices_closure_audit.md | 47 +++++++++++++++++++ docs/plans/modules/tracker.md | 15 ++++-- docs/specs/modules/breadboard.md | 2 +- docs/specs/modules/design_reference.md | 4 +- 5 files changed, 65 insertions(+), 7 deletions(-) create mode 100644 docs/plans/modules/slices_closure_audit.md diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 9415c973..76befe19 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -15,8 +15,10 @@ pub struct Reasoning { pub type ChainOfThoughtOutput = WithReasoning<::Output>; -#[derive(Default)] +#[derive(Default, facet::Facet)] +#[facet(crate = facet)] pub struct ChainOfThought { + #[facet(opaque)] predictor: Predict>, } diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md new file mode 100644 index 00000000..59e69e30 --- /dev/null +++ b/docs/plans/modules/slices_closure_audit.md @@ -0,0 +1,47 @@ +# Slices 1-4 Closure Audit + +Date: 2026-02-09 +Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4` from `docs/specs/modules/breadboard.md`. + +## Audit Method +- Re-checked `docs/specs/modules/breadboard.md` slice definitions and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints. +- Verified implementation in the live codebase (not docs-only) with file-level evidence. +- Classified each slice requirement as `Implemented` or `Deferred` with explicit follow-up mapping. + +## Slices 1-3 Baseline +- Baseline accounting for `V1`-`V3` remains in `docs/plans/modules/slices_1_3_closure_audit.md`. +- This document extends that ledger through `V4` and updates deferred-item routing now that all four slices are implemented. + +## Slice 4 (V4 ReAct + Operational) Accounting + +| Affordance(s) | Status | Evidence | +|---|---|---| +| `U14` ReAct builder with tools (`.tool("name", "desc", fn)`) | Implemented | `crates/dspy-rs/src/modules/react.rs:53`, `crates/dspy-rs/src/modules/react.rs:295`, `crates/dspy-rs/src/modules/react.rs:324`, `crates/dspy-rs/tests/test_react_builder.rs:57` | +| `U14` ReAct action/extract composition (two `Predict` leaves + loop in `forward`) | Implemented | `crates/dspy-rs/src/modules/react.rs:61`, `crates/dspy-rs/src/modules/react.rs:64`, `crates/dspy-rs/src/modules/react.rs:156`, `crates/dspy-rs/tests/test_react_builder.rs:60` | +| `U48` standalone `forward_all(&module, inputs, concurrency)` | Implemented | `crates/dspy-rs/src/core/module.rs:22`, `crates/dspy-rs/src/evaluate/evaluator.rs:24`, `crates/dspy-rs/tests/test_module_forward_all.rs:21` | +| `U51` module combinators (`.map()`, `.and_then()`) | Implemented | `crates/dspy-rs/src/core/module_ext.rs:5`, `crates/dspy-rs/src/core/module_ext.rs:28`, `crates/dspy-rs/src/core/module_ext.rs:55`, `crates/dspy-rs/tests/test_module_ext.rs:37` | +| `S4` tool storage for operational modules | Implemented | `crates/dspy-rs/src/modules/react.rs:66`, `crates/dspy-rs/src/modules/react.rs:251`, `crates/dspy-rs/src/modules/react.rs:285` | + +Slice 4 verdict: **Implemented**. + +## Consolidated Deferred Ledger (Post-Implementation Cleanup) + +| Deferred item | Why deferred | Target phase | Exit criteria | +|---|---|---|---| +| Strict typed `Module` bounds (`Input/Output: BamlType + Facet`) | Compatibility with legacy/untyped module surfaces still present | **Post-Implementation Cleanup** | `Module` bounds tightened and impacted examples/tests migrated | +| F12 helper generic bounds threading in generated helper structs | Macro helper constraints still use transitional strategy | **Post-Implementation Cleanup** | Generic helper declarations preserve source generic contract with `dsrs-macros` tests green | +| `__phantom` helper-field authoring ergonomics | Generic helper phantom initialization still leaks into same-module literals | **Post-Implementation Cleanup** | No user-facing phantom initialization burden in macro tests/examples | +| Option-C full legacy cutover (`MetaSignature`/`LegacyPredict`) | Legacy compatibility surfaces still active for older flows | **Post-Implementation Cleanup** | Schema-first typed path is sole default path and legacy surfaces are removed/quarantined with migration notes | +| `V5` walker discoverability for additional wrappers/combinators | Deferred by earlier closure audits; only Slice 4 ReAct discoverability addressed now | **Post-Implementation Cleanup** (prep) + **V5 Implement** (completion) | Walker traverses wrapper module trees end-to-end with tests for nested combinator/module stacks | + +## Post-Implementation Cleanup Resolved Items +- `U29` (`ChainOfThought` Facet discoverability) resolved in code: `crates/dspy-rs/src/modules/chain_of_thought.rs:16`. +- `build_system` API/spec mismatch resolved by spec alignment to fallible return (`Result`): `docs/specs/modules/breadboard.md:101`, `docs/specs/modules/design_reference.md:583`. + +## Validation During Slice 4 Closure Audit +- `cargo check -p dspy-rs` +- `cargo check -p dspy-rs --examples` +- `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder --test test_chain_of_thought_swap` +- `set -a && source .env && set +a && cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` + +Observed smoke output: `tool_executions: 0`, `answer: smoke-ok`. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 7eb0cb95..1c9a4eec 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -2,7 +2,7 @@ ## Current State - **Slice**: 4 -- **Phase**: Commit +- **Phase**: Post-Implementation Cleanup ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | @@ -47,6 +47,15 @@ - **Slice 4 smoke test (2026-02-09):** Real LM call passed end-to-end via `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` (loaded `.env`, model `openai:gpt-5.2`), returning `answer: smoke-ok`. - **Slice 4 arbitrate (2026-02-09):** Agreed with high finding on ReAct Facet discoverability and fixed in `modules/react.rs`. Re-ran compile/tests and smoke after fix; smoke now reports `tool_executions: 1`, `answer: smoke-ok`. - **Slice 4 arbitrate (2026-02-09):** Disagreed with medium finding (“ReAct bypasses adapter building blocks”) for this slice: both action/extract calls execute through `Predict::call` → `ChatAdapter` pipeline (`N8/F7`). The hand-built `trajectory` string is module orchestration state, not a replacement parsing/formatting pipeline; no immediate correctness gap observed in tests/smoke. +- **Slice 4 implementation (2026-02-09):** Added `ReAct` module (`modules/react.rs`) with plain async tool builder (`.tool(name, desc, fn)`), action/extract loop over typed `Predict` leaves, and Facet discoverability on the wrapper struct. +- **Slice 4 implementation (2026-02-09):** Added operational affordances: new 3-arg `forward_all(&module, inputs, concurrency)` surface, `forward_all_with_progress` compatibility helper, and `ModuleExt::{map,and_then}` wrappers in `core/module_ext.rs`. +- **Slice 4 validation (2026-02-09):** `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and targeted tests (`test_module_forward_all`, `test_module_ext`, `test_react_builder`, `test_chain_of_thought_swap`) passed. +- **Slice 4 smoke test (post-fix, 2026-02-09):** `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` against `openai:gpt-5.2` passed (`tool_executions: 1`, `answer: smoke-ok`). +- **Slice 4 commit (2026-02-09):** Change `nluquynv` / `d768449f` — \"slice4: implement react and operational affordances\". +- **Slice 4 closure audit (2026-02-09):** Added `docs/plans/modules/slices_closure_audit.md` with `V4` requirement accounting and consolidated deferred ledger routing. Because slice = 4, workflow advanced to Post-Implementation Cleanup. +- **Post-Implementation Cleanup (2026-02-09):** Resolved `U29` by deriving `facet::Facet` on `ChainOfThought` (`crates/dspy-rs/src/modules/chain_of_thought.rs`) and revalidated targeted module tests/smokes. +- **Post-Implementation Cleanup (2026-02-09):** Resolved `build_system` API/spec mismatch by aligning spec docs to the implemented fallible surface (`Result`) in `breadboard.md` and `design_reference.md`. +- **Post-Implementation Cleanup (2026-02-09):** Ran full workspace validation (`cargo test`) successfully after cleanup edits. - Slice definitions for this execution are V1-V3 from `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (V1 Typed call, V2 Augmentation + CoT, V3 Module authoring). - Ground truth hierarchy for arbitration is: breadboard + shapes + design_reference + spikes S1-S8. - **Locked (2026-02-09):** N8/typed call default return is `CallOutcome` (metadata-first). `call_with_meta` is folded into `call`; there is no separate convenience path like `forward_result`. @@ -95,5 +104,5 @@ ## Open Questions -- `Phase 4.5 Cleanup / API Surface Pass`: execute strict typed `Module` bounds, generic-helper/`__phantom` cleanup, `build_system` API/spec reconciliation, and legacy-surface cutover. -- `V5 Implement`: wire Facet walker discoverability for wrapper modules (`ChainOfThought` and future combinators) as the canonical replacement for legacy `Optimizable` traversal. +- `Post-Implementation Cleanup` remaining scope: strict typed `Module` bounds, generic-helper/`__phantom` ergonomics, and Option-C legacy-surface cutover (`MetaSignature`/`LegacyPredict`) are still large migrations with broad compatibility impact. +- `V5 Implement`: complete walker discoverability for wrapper/combinator module trees as the canonical replacement for legacy `Optimizable` traversal. diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index bcb535af..eb9d543f 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -98,7 +98,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **U20** | P2 | `augmentation` | `WithReasoning` generated wrapper type | access | — | ← N14 | F3 | | **U21** | P2 | `signature` | `#[derive(Signature)]` with generic type params | compile | → N15 | — | F12 | | **U22** | P2 | `signature` | `#[flatten]` on fields | compile | → N15 | — | F12 | -| **U23** | P2 | `adapter` | `ChatAdapter::build_system(schema, override)` | call | → N3 | → String | F7 | +| **U23** | P2 | `adapter` | `ChatAdapter::build_system(schema, override)` | call | → N3 | → Result\ | F7 | | **U24** | P2 | `adapter` | `ChatAdapter::format_input(schema, &input)` | call | → N8 (formatting internals) | → String | F7 | | **U25** | P2 | `adapter` | `ChatAdapter::parse_sections(content)` | call | — | → IndexMap | F7 | | **U26** | P2 | `adapter` | `ChatAdapter::parse_output::(schema, &response)` | call | → N8 (coercion internals), → N13 | → Result\ | F7 | diff --git a/docs/specs/modules/design_reference.md b/docs/specs/modules/design_reference.md index c8d59643..26e3c190 100644 --- a/docs/specs/modules/design_reference.md +++ b/docs/specs/modules/design_reference.md @@ -445,7 +445,7 @@ impl Predict { let adapter = ChatAdapter; // Build prompt - let system = adapter.build_system(schema, self.instruction_override.as_deref()); + let system = adapter.build_system(schema, self.instruction_override.as_deref())?; let mut chat = Chat::new(vec![Message::system(system)]); // Format demos @@ -583,7 +583,7 @@ impl ChatAdapter { pub fn build_system( schema: &SignatureSchema, instruction_override: Option<&str>, - ) -> String; + ) -> Result; /// Format a typed input value as user message fields /// Uses Facet Peek to walk the value generically From 4e02a8713c75eac23b2b73555a359e8d2bac65c2 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 14:26:45 -0800 Subject: [PATCH 08/22] chore: finalize tracker completion state --- docs/plans/modules/tracker.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 1c9a4eec..714e4bdf 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -2,7 +2,7 @@ ## Current State - **Slice**: 4 -- **Phase**: Post-Implementation Cleanup +- **Phase**: Done (Post-Implementation Cleanup pass committed) ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | From ee10aaa4acbf1c282947b57a6544ea98a5ff3b21 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 14:37:33 -0800 Subject: [PATCH 09/22] phase4.5-lite: execute C1 C5 C6 prerequisites --- CURRENT_PLAN.md | 7 + CURRENT_SPEC.md | 7 + crates/dspy-rs/examples/01-simple.rs | 4 +- .../93-smoke-slice4-react-operational.rs | 89 ++- crates/dspy-rs/src/core/module.rs | 6 +- crates/dspy-rs/src/core/module_ext.rs | 160 ++++- crates/dspy-rs/src/data/example.rs | 14 +- crates/dspy-rs/src/data/prediction.rs | 13 +- .../dspy-rs/src/modules/chain_of_thought.rs | 1 - crates/dspy-rs/src/modules/react.rs | 109 ++-- crates/dspy-rs/src/predictors/predict.rs | 7 + .../tests/test_chain_of_thought_swap.rs | 2 - .../dspy-rs/tests/test_flatten_roundtrip.rs | 2 - crates/dspy-rs/tests/test_module_ext.rs | 66 ++- .../dspy-rs/tests/test_module_facet_shapes.rs | 88 +++ .../dspy-rs/tests/test_module_forward_all.rs | 48 +- crates/dspy-rs/tests/test_react_builder.rs | 104 +++- .../tests/test_with_reasoning_deref.rs | 2 - crates/dsrs-macros/src/lib.rs | 98 +++- crates/dsrs-macros/tests/signature_derive.rs | 13 +- .../modules/phase_4_5_cleanup_kickoff.md | 212 +++++++ .../plans/modules/slices_1_3_closure_audit.md | 20 + docs/plans/modules/slices_closure_audit.md | 21 +- docs/plans/modules/tracker.md | 29 +- .../modules/calling_convention_revision.md | 555 ++++++++++++++++++ .../spikes/S1-generic-signature-derive.md | 11 + 26 files changed, 1528 insertions(+), 160 deletions(-) create mode 100644 crates/dspy-rs/tests/test_module_facet_shapes.rs create mode 100644 docs/plans/modules/phase_4_5_cleanup_kickoff.md create mode 100644 docs/specs/modules/calling_convention_revision.md diff --git a/CURRENT_PLAN.md b/CURRENT_PLAN.md index 0a285220..33eafe2b 100644 --- a/CURRENT_PLAN.md +++ b/CURRENT_PLAN.md @@ -4,6 +4,13 @@ > The current runtime intentionally keeps `bamltype::compat`, `LegacySignature`, `LegacyPredict`, `MetaSignature`, and optimizer APIs unchanged. > > Phase 2 is next: remove remaining compat-trait coupling in typed paths and redesign signature/optimizer APIs to be facet-native. +> +> Active execution tracking and cleanup decisions now live in: +> - `docs/plans/modules/tracker.md` +> - `docs/plans/modules/slices_closure_audit.md` +> - `docs/plans/modules/phase_4_5_cleanup_kickoff.md` +> +> The detailed plan body below is retained for historical context and may not reflect the latest slice-by-slice closure reconciliations. Below is a “walk the codebase” integration plan that’s detailed enough to be used as a checklist while you implement. I’m going to treat `CURRENT_SPEC.md` as the source of truth, and I’ll point out the few places where the spec implies machinery you don’t currently have (notably: serializing typed demo values and prompting inputs without `serde_json::Value`). diff --git a/CURRENT_SPEC.md b/CURRENT_SPEC.md index 657e4793..4f390c5c 100644 --- a/CURRENT_SPEC.md +++ b/CURRENT_SPEC.md @@ -8,6 +8,13 @@ > Legacy bridge crates are removed from the workspace. > Current typed and optimizer contracts remain unchanged in Phase 1. > Phase 2 next: compat-trait removal from typed paths plus signature/optimizer API redesign for facet-native runtime. +> +> Planning note: +> The “Implementation Order” section in this document is historical rollout guidance. +> Current execution status and cleanup-phase decision tracking are maintained in: +> - `docs/plans/modules/tracker.md` +> - `docs/plans/modules/slices_closure_audit.md` +> - `docs/plans/modules/phase_4_5_cleanup_kickoff.md` --- diff --git a/crates/dspy-rs/examples/01-simple.rs b/crates/dspy-rs/examples/01-simple.rs index 3917c906..ab5040b5 100644 --- a/crates/dspy-rs/examples/01-simple.rs +++ b/crates/dspy-rs/examples/01-simple.rs @@ -190,7 +190,7 @@ async fn main() -> Result<()> { QAInput { question: "What is 2+2?".to_string(), }, - __QAOutput { + QAOutput { reasoning: "2+2 is a basic arithmetic operation. Adding 2 to 2 gives 4.".to_string(), answer: "4".to_string(), @@ -200,7 +200,7 @@ async fn main() -> Result<()> { QAInput { question: "What color is grass?".to_string(), }, - __QAOutput { + QAOutput { reasoning: "Grass contains chlorophyll which reflects green light.".to_string(), answer: "Green".to_string(), }, diff --git a/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs b/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs index 2d58ed64..3921c748 100644 --- a/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs +++ b/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs @@ -1,5 +1,6 @@ use anyhow::{Result, bail}; use dspy_rs::{ChatAdapter, LM, ReAct, Signature, configure, forward_all}; +use serde_json::Value; #[derive(Signature, Clone, Debug)] struct SmokeSig { @@ -10,6 +11,27 @@ struct SmokeSig { answer: String, } +fn parse_binary_args(args: &str) -> Result<(i64, i64)> { + let value: Value = serde_json::from_str(args)?; + let a = value.get("a").and_then(Value::as_i64).unwrap_or(0); + let b = value.get("b").and_then(Value::as_i64).unwrap_or(0); + Ok((a, b)) +} + +fn extract_first_integer(text: &str) -> Option { + let mut token = String::new(); + for ch in text.chars() { + if ch.is_ascii_digit() || (token.is_empty() && ch == '-') { + token.push(ch); + continue; + } + if !token.is_empty() { + break; + } + } + token.parse::().ok() +} + #[tokio::main] async fn main() -> Result<()> { // Smoke Label: Slice 4 ReAct + Operational @@ -22,14 +44,33 @@ async fn main() -> Result<()> { ); let module = ReAct::::builder() - .max_steps(3) - .tool("echo", "Echoes tool arguments", |args| async move { - format!("echo-result: {args}") + .max_steps(6) + .tool("add", "Add two integers. Args JSON: {\"a\":int,\"b\":int}", |args| async move { + match parse_binary_args(&args) { + Ok((a, b)) => (a + b).to_string(), + Err(err) => format!("calculator_error: {err}"), + } }) + .tool( + "multiply", + "Multiply two integers. Args JSON: {\"a\":int,\"b\":int}", + |args| async move { + match parse_binary_args(&args) { + Ok((a, b)) => (a * b).to_string(), + Err(err) => format!("calculator_error: {err}"), + } + }, + ) + .action_instruction( + "You are a strict ReAct planner. Choose exactly one tool each step, and use tool names exactly as declared.", + ) + .extract_instruction( + "Read trajectory and return only the final integer in output.answer.", + ) .build(); let input = SmokeSigInput { - prompt: "Use the echo tool once if needed, then reply with exactly smoke-ok in the answer field." + prompt: "Use tools to compute ((17 + 5) * 3) + 4. You MUST call add, then multiply, then add again, then finish. Return only the final integer string." .to_string(), }; @@ -43,11 +84,47 @@ async fn main() -> Result<()> { anyhow::anyhow!("slice4 smoke failed") })?; + println!("tool_calls: {}", metadata.tool_calls.len()); println!("tool_executions: {}", metadata.tool_executions.len()); + println!("trajectory:"); + for entry in &metadata.tool_executions { + if entry.trim().is_empty() { + continue; + } + println!("{entry}"); + println!("---"); + } println!("answer: {}", output.answer); - if !output.answer.to_ascii_lowercase().contains("smoke-ok") { - bail!("unexpected answer content: {}", output.answer); + let called_tools: Vec = metadata + .tool_calls + .iter() + .map(|call| call.function.name.to_ascii_lowercase()) + .collect(); + let add_calls = called_tools + .iter() + .filter(|name| name.as_str() == "add") + .count(); + let multiply_calls = called_tools + .iter() + .filter(|name| name.as_str() == "multiply") + .count(); + + if add_calls < 2 || multiply_calls < 1 { + bail!( + "expected multi-tool trajectory with add x2 and multiply x1, got {:?}", + called_tools + ); + } + + let answer_value = extract_first_integer(&output.answer) + .ok_or_else(|| anyhow::anyhow!("answer did not contain integer: {}", output.answer))?; + if answer_value != 70 { + bail!( + "unexpected calculator result: expected 70, got {} (raw answer: {})", + answer_value, + output.answer + ); } Ok(()) diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index 98dbc08f..d8528ac9 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -3,12 +3,12 @@ use indexmap::IndexMap; use kdam::{BarExt, tqdm}; use tracing::debug; -use crate::{CallOutcome, core::MetaSignature}; +use crate::{BamlType, CallOutcome, Facet, core::MetaSignature}; #[allow(async_fn_in_trait)] pub trait Module: Send + Sync { - type Input: Send + Sync + 'static; - type Output: Send + Sync + 'static; + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; async fn forward(&self, input: Self::Input) -> CallOutcome; } diff --git a/crates/dspy-rs/src/core/module_ext.rs b/crates/dspy-rs/src/core/module_ext.rs index e78fe1e6..91089654 100644 --- a/crates/dspy-rs/src/core/module_ext.rs +++ b/crates/dspy-rs/src/core/module_ext.rs @@ -1,4 +1,4 @@ -use crate::{CallOutcome, CallOutcomeErrorKind}; +use crate::{BamlType, CallOutcome, CallOutcomeErrorKind, Facet}; use super::Module; @@ -6,31 +6,94 @@ pub trait ModuleExt: Module + Sized { fn map(self, map: F) -> Map where F: Fn(Self::Output) -> T + Send + Sync + 'static, - T: Send + Sync + 'static, + T: BamlType + for<'a> Facet<'a> + Send + Sync, { - Map { inner: self, map } + Map { + inner: self, + map: facet::Opaque(map), + } } fn and_then(self, and_then: F) -> AndThen where F: Fn(Self::Output) -> Result + Send + Sync + 'static, - T: Send + Sync + 'static, + T: BamlType + for<'a> Facet<'a> + Send + Sync, { AndThen { inner: self, - and_then, + and_then: facet::Opaque(and_then), } } } impl ModuleExt for M {} -#[derive(facet::Facet)] -#[facet(crate = facet)] -pub struct Map { +pub struct Map { pub(crate) inner: M, - #[facet(skip)] - map: F, + map: facet::Opaque, +} + +unsafe fn map_drop(ox: facet::OxPtrMut) { + unsafe { + core::ptr::drop_in_place(ox.ptr().as_byte_ptr() as *mut Map); + } +} + +// `derive(Facet)` currently imposes `F: Facet` for these generic wrappers. +// We intentionally model closure fields as skipped opaque data and only expose `inner`. +unsafe impl<'a, M, F> facet::Facet<'a> for Map +where + M: facet::Facet<'a>, + F: 'static, +{ + const SHAPE: &'static facet::Shape = &const { + const fn build_type_ops() -> facet::TypeOpsIndirect { + facet::TypeOpsIndirect { + drop_in_place: map_drop::, + default_in_place: None, + clone_into: None, + is_truthy: None, + } + } + + facet::ShapeBuilder::for_sized::>("Map") + .module_path(module_path!()) + .ty(facet::Type::User(facet::UserType::Struct(facet::StructType { + repr: facet::Repr::default(), + kind: facet::StructKind::Struct, + fields: &const { + [ + facet::FieldBuilder::new( + "inner", + facet::shape_of::, + core::mem::offset_of!(Map, inner), + ) + .build(), + facet::FieldBuilder::new( + "map", + facet::shape_of::>, + core::mem::offset_of!(Map, map), + ) + .flags(facet::FieldFlags::SKIP) + .build(), + ] + }, + }))) + .def(facet::Def::Scalar) + .type_params(&[ + facet::TypeParam { + name: "M", + shape: M::SHAPE, + }, + facet::TypeParam { + name: "F", + shape: as facet::Facet<'a>>::SHAPE, + }, + ]) + .vtable_indirect(&facet::VTableIndirect::EMPTY) + .type_ops_indirect(&const { build_type_ops::() }) + .build() + }; } #[allow(async_fn_in_trait)] @@ -38,7 +101,7 @@ impl Module for Map where M: Module, F: Fn(M::Output) -> T + Send + Sync + 'static, - T: Send + Sync + 'static, + T: BamlType + for<'a> Facet<'a> + Send + Sync, { type Input = M::Input; type Output = T; @@ -46,18 +109,77 @@ where async fn forward(&self, input: Self::Input) -> CallOutcome { let (result, metadata) = self.inner.forward(input).await.into_parts(); match result { - Ok(output) => CallOutcome::ok((self.map)(output), metadata), + Ok(output) => CallOutcome::ok((self.map.0)(output), metadata), Err(err) => CallOutcome::err(err, metadata), } } } -#[derive(facet::Facet)] -#[facet(crate = facet)] -pub struct AndThen { +pub struct AndThen { pub(crate) inner: M, - #[facet(skip)] - and_then: F, + and_then: facet::Opaque, +} + +unsafe fn and_then_drop(ox: facet::OxPtrMut) { + unsafe { + core::ptr::drop_in_place(ox.ptr().as_byte_ptr() as *mut AndThen); + } +} + +// See `Map` above: closure type `F` is intentionally opaque and skipped. +unsafe impl<'a, M, F> facet::Facet<'a> for AndThen +where + M: facet::Facet<'a>, + F: 'static, +{ + const SHAPE: &'static facet::Shape = &const { + const fn build_type_ops() -> facet::TypeOpsIndirect { + facet::TypeOpsIndirect { + drop_in_place: and_then_drop::, + default_in_place: None, + clone_into: None, + is_truthy: None, + } + } + + facet::ShapeBuilder::for_sized::>("AndThen") + .module_path(module_path!()) + .ty(facet::Type::User(facet::UserType::Struct(facet::StructType { + repr: facet::Repr::default(), + kind: facet::StructKind::Struct, + fields: &const { + [ + facet::FieldBuilder::new( + "inner", + facet::shape_of::, + core::mem::offset_of!(AndThen, inner), + ) + .build(), + facet::FieldBuilder::new( + "and_then", + facet::shape_of::>, + core::mem::offset_of!(AndThen, and_then), + ) + .flags(facet::FieldFlags::SKIP) + .build(), + ] + }, + }))) + .def(facet::Def::Scalar) + .type_params(&[ + facet::TypeParam { + name: "M", + shape: M::SHAPE, + }, + facet::TypeParam { + name: "F", + shape: as facet::Facet<'a>>::SHAPE, + }, + ]) + .vtable_indirect(&facet::VTableIndirect::EMPTY) + .type_ops_indirect(&const { build_type_ops::() }) + .build() + }; } #[allow(async_fn_in_trait)] @@ -65,7 +187,7 @@ impl Module for AndThen where M: Module, F: Fn(M::Output) -> Result + Send + Sync + 'static, - T: Send + Sync + 'static, + T: BamlType + for<'a> Facet<'a> + Send + Sync, { type Input = M::Input; type Output = T; @@ -73,7 +195,7 @@ where async fn forward(&self, input: Self::Input) -> CallOutcome { let (result, metadata) = self.inner.forward(input).await.into_parts(); match result { - Ok(output) => match (self.and_then)(output) { + Ok(output) => match (self.and_then.0)(output) { Ok(transformed) => CallOutcome::ok(transformed, metadata), Err(err) => CallOutcome::err(err, metadata), }, diff --git a/crates/dspy-rs/src/data/example.rs b/crates/dspy-rs/src/data/example.rs index 63e981f2..7418ec45 100644 --- a/crates/dspy-rs/src/data/example.rs +++ b/crates/dspy-rs/src/data/example.rs @@ -2,15 +2,27 @@ use serde::{Deserialize, Serialize}; use serde_json::Value; use std::{collections::HashMap, ops::Index}; -#[derive(Serialize, Deserialize, Default, Debug, Clone)] +#[derive(Serialize, Deserialize, Default, Debug, Clone, facet::Facet)] +#[facet(crate = facet)] pub struct Example { + #[facet(skip, opaque)] pub data: HashMap, + #[facet(skip)] pub input_keys: Vec, + #[facet(skip)] pub output_keys: Vec, #[serde(skip)] + #[facet(skip)] pub node_id: Option, } +impl bamltype::BamlSchema for Example { + fn baml_schema() -> &'static bamltype::SchemaBundle { + static SCHEMA: std::sync::OnceLock = std::sync::OnceLock::new(); + SCHEMA.get_or_init(|| bamltype::SchemaBundle::from_shape(>::SHAPE)) + } +} + impl Example { pub fn new( data: HashMap, diff --git a/crates/dspy-rs/src/data/prediction.rs b/crates/dspy-rs/src/data/prediction.rs index 004307e6..62180db4 100644 --- a/crates/dspy-rs/src/data/prediction.rs +++ b/crates/dspy-rs/src/data/prediction.rs @@ -4,14 +4,25 @@ use std::{collections::HashMap, ops::Index}; use crate::LmUsage; -#[derive(Serialize, Deserialize, Default, Debug, Clone)] +#[derive(Serialize, Deserialize, Default, Debug, Clone, facet::Facet)] +#[facet(crate = facet)] pub struct Prediction { + #[facet(skip, opaque)] pub data: HashMap, + #[facet(skip, opaque)] pub lm_usage: LmUsage, #[serde(skip)] + #[facet(skip)] pub node_id: Option, } +impl bamltype::BamlSchema for Prediction { + fn baml_schema() -> &'static bamltype::SchemaBundle { + static SCHEMA: std::sync::OnceLock = std::sync::OnceLock::new(); + SCHEMA.get_or_init(|| bamltype::SchemaBundle::from_shape(>::SHAPE)) + } +} + impl Prediction { pub fn new(data: HashMap, lm_usage: LmUsage) -> Self { Self { diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 76befe19..54853434 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -18,7 +18,6 @@ pub type ChainOfThoughtOutput = WithReasoning<::Output>; #[derive(Default, facet::Facet)] #[facet(crate = facet)] pub struct ChainOfThought { - #[facet(opaque)] predictor: Predict>, } diff --git a/crates/dspy-rs/src/modules/react.rs b/crates/dspy-rs/src/modules/react.rs index b5630634..bc6ee5d1 100644 --- a/crates/dspy-rs/src/modules/react.rs +++ b/crates/dspy-rs/src/modules/react.rs @@ -30,8 +30,6 @@ struct ReActActionStep { action_input: String, } -type ReActActionStepOutput = __ReActActionStepOutput; - /// ReAct extraction-step schema. #[derive(dsrs_macros::Signature, Clone, Debug)] struct ReActExtractStep @@ -48,8 +46,6 @@ where output: O, } -type ReActExtractStepOutput = __ReActExtractStepOutput; - #[derive(facet::Facet)] #[facet(crate = facet)] pub struct ReAct @@ -58,9 +54,7 @@ where S::Input: BamlType + Clone, S::Output: BamlType, { - #[facet(opaque)] action: Predict, - #[facet(opaque)] extract: Predict>, #[facet(skip, opaque)] tools: Vec>, @@ -131,45 +125,38 @@ where || action.eq_ignore_ascii_case("final") || action.eq_ignore_ascii_case("done") } -} -impl Default for ReAct -where - S: Signature, - S::Input: BamlType + Clone, - S::Output: BamlType, -{ - fn default() -> Self { - Self::new() + fn format_trace_entry( + step: usize, + thought: &str, + action: &str, + action_input: &str, + observation: Option<&str>, + ) -> String { + let observation_text = observation.unwrap_or(""); + format!( + "Step {step}\nThought: {thought}\nAction: {action}\nAction Input: {action_input}\nObservation: {observation_text}" + ) } -} -impl Module for ReAct -where - S: Signature, - S::Input: BamlType + Clone, - S::Output: BamlType, -{ - type Input = S::Input; - type Output = S::Output; - - async fn forward(&self, input: S::Input) -> CallOutcome { + async fn run(&self, input: S::Input) -> CallOutcome { let serialized_input = serde_json::to_string(&input.to_baml_value()) .unwrap_or_else(|_| "".to_string()); - let mut trajectory = self.render_tool_manifest().await; - trajectory.push_str("\n\n"); + let tool_manifest = self.render_tool_manifest().await; + let mut trajectory_text = tool_manifest.clone(); + trajectory_text.push_str("\n\n"); let mut tool_calls = Vec::new(); let mut tool_executions = Vec::new(); + tool_executions.push(tool_manifest); for step in 0..self.max_steps { - let action_input = ReActActionStepInput { - input: serialized_input.clone(), - trajectory: trajectory.clone(), - }; + let action_input = + ReActActionStepInput::new(serialized_input.clone(), trajectory_text.clone()); - let (action_result, mut action_metadata) = self.action.call(action_input).await.into_parts(); + let (action_result, mut action_metadata) = + self.action.call(action_input).await.into_parts(); tool_calls.append(&mut action_metadata.tool_calls); tool_executions.append(&mut action_metadata.tool_executions); @@ -189,7 +176,10 @@ where .to_string(); if Self::is_terminal_action(&action_name) { - trajectory.push_str(&format!( + let trace = + Self::format_trace_entry(step + 1, &thought, &action_name, &action_input, None); + tool_executions.push(trace.clone()); + trajectory_text.push_str(&format!( "Step {}\nThought: {}\nFinal: {}\n\n", step + 1, thought, @@ -208,9 +198,15 @@ where arguments: serde_json::json!(action_input), }, }); - tool_executions.push(observation.clone()); + tool_executions.push(Self::format_trace_entry( + step + 1, + &thought, + &action_name, + &action_input, + Some(&observation), + )); - trajectory.push_str(&format!( + trajectory_text.push_str(&format!( "Step {}\nThought: {}\nAction: {}\nAction Input: {}\nObservation: {}\n\n", step + 1, thought, @@ -220,13 +216,10 @@ where )); } - let extract_input = ReActExtractStepInput { - input: serialized_input, - trajectory, - __phantom: std::marker::PhantomData, - }; + let extract_input = ReActExtractStepInput::new(serialized_input, trajectory_text); - let (extract_result, mut extract_metadata) = self.extract.call(extract_input).await.into_parts(); + let (extract_result, mut extract_metadata) = + self.extract.call(extract_input).await.into_parts(); extract_metadata.tool_calls.extend(tool_calls); extract_metadata.tool_executions.extend(tool_executions); @@ -240,6 +233,31 @@ where } } +impl Default for ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + fn default() -> Self { + Self::new() + } +} + +impl Module for ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + type Input = S::Input; + type Output = S::Output; + + async fn forward(&self, input: S::Input) -> CallOutcome { + self.run(input).await + } +} + pub struct ReActBuilder where S: Signature, @@ -292,7 +310,12 @@ where self } - pub fn tool(mut self, name: impl Into, description: impl Into, tool_fn: F) -> Self + pub fn tool( + mut self, + name: impl Into, + description: impl Into, + tool_fn: F, + ) -> Self where F: Fn(String) -> Fut + Send + Sync + 'static, Fut: Future + Send + 'static, diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index fd1b395e..609e85d6 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -16,6 +16,8 @@ use crate::{ Prediction, }; +#[derive(facet::Facet)] +#[facet(crate = facet)] pub struct Demo { pub input: S::Input, pub output: S::Output, @@ -27,10 +29,15 @@ impl Demo { } } +#[derive(facet::Facet)] +#[facet(crate = facet, opaque)] pub struct Predict { + #[facet(skip, opaque)] tools: Vec>, + #[facet(skip, opaque)] demos: Vec>, instruction_override: Option, + #[facet(skip, opaque)] _marker: PhantomData, } diff --git a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs index 826ed828..0cd2c872 100644 --- a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs +++ b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs @@ -49,8 +49,6 @@ struct QA { answer: String, } -type QAOutput = __QAOutput; - fn accepts_module(_: &M) {} #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] diff --git a/crates/dspy-rs/tests/test_flatten_roundtrip.rs b/crates/dspy-rs/tests/test_flatten_roundtrip.rs index 00c324c2..c9f33270 100644 --- a/crates/dspy-rs/tests/test_flatten_roundtrip.rs +++ b/crates/dspy-rs/tests/test_flatten_roundtrip.rs @@ -11,8 +11,6 @@ struct QA { answer: String, } -type QAOutput = __QAOutput; - #[test] fn augmented_demo_roundtrips_through_adapter() { let adapter = ChatAdapter; diff --git a/crates/dspy-rs/tests/test_module_ext.rs b/crates/dspy-rs/tests/test_module_ext.rs index 488309c5..7e1bfafc 100644 --- a/crates/dspy-rs/tests/test_module_ext.rs +++ b/crates/dspy-rs/tests/test_module_ext.rs @@ -1,33 +1,51 @@ use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, Module, ModuleExt, ParseError, + BamlType, CallMetadata, CallOutcome, CallOutcomeErrorKind, Module, ModuleExt, ParseError, }; struct MaybeFails; +#[derive(Clone, Debug, PartialEq, Eq)] +#[BamlType] +struct IntPayload { + value: i32, +} + +#[derive(Clone, Debug, PartialEq, Eq)] +#[BamlType] +struct TextPayload { + value: String, +} + impl Module for MaybeFails { - type Input = i32; - type Output = i32; + type Input = IntPayload; + type Output = IntPayload; async fn forward(&self, input: Self::Input) -> CallOutcome { + let input_value = input.value; let metadata = CallMetadata::new( - format!("raw:{input}"), + format!("raw:{input_value}"), dspy_rs::LmUsage::default(), Vec::new(), Vec::new(), - Some(input as usize), + Some(input_value.max(0) as usize), indexmap::IndexMap::new(), ); - if input < 0 { + if input_value < 0 { CallOutcome::err( CallOutcomeErrorKind::Parse(ParseError::MissingField { field: "value".to_string(), - raw_response: format!("raw:{input}"), + raw_response: format!("raw:{input_value}"), }), metadata, ) } else { - CallOutcome::ok(input * 2, metadata) + CallOutcome::ok( + IntPayload { + value: input_value * 2, + }, + metadata, + ) } } } @@ -35,13 +53,20 @@ impl Module for MaybeFails { #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] #[tokio::test] async fn map_transforms_success_and_preserves_metadata() { - let mapped = MaybeFails.map(|value| format!("v={value}")); + let mapped = MaybeFails.map(|value| TextPayload { + value: format!("v={}", value.value), + }); - let success = mapped.forward(3).await; + let success = mapped.forward(IntPayload { value: 3 }).await; assert_eq!(success.metadata().raw_response, "raw:3"); - assert_eq!(success.into_result().expect("success expected"), "v=6"); + assert_eq!( + success.into_result().expect("success expected"), + TextPayload { + value: "v=6".to_string() + } + ); - let failure = mapped.forward(-7).await; + let failure = mapped.forward(IntPayload { value: -7 }).await; let err = failure.into_result().expect_err("failure expected"); assert_eq!(err.metadata.raw_response, "raw:-7"); match err.kind { @@ -56,8 +81,10 @@ async fn map_transforms_success_and_preserves_metadata() { #[tokio::test] async fn and_then_applies_fallible_transform_and_keeps_metadata() { let module = MaybeFails.and_then(|value| { - if value >= 4 { - Ok(value.to_string()) + if value.value >= 4 { + Ok(TextPayload { + value: value.value.to_string(), + }) } else { Err(CallOutcomeErrorKind::Parse(ParseError::MissingField { field: "transformed".to_string(), @@ -66,11 +93,16 @@ async fn and_then_applies_fallible_transform_and_keeps_metadata() { } }); - let success = module.forward(3).await; + let success = module.forward(IntPayload { value: 3 }).await; assert_eq!(success.metadata().raw_response, "raw:3"); - assert_eq!(success.into_result().expect("success expected"), "6"); + assert_eq!( + success.into_result().expect("success expected"), + TextPayload { + value: "6".to_string() + } + ); - let transformed_error = module.forward(1).await; + let transformed_error = module.forward(IntPayload { value: 1 }).await; let err = transformed_error .into_result() .expect_err("transform error expected"); diff --git a/crates/dspy-rs/tests/test_module_facet_shapes.rs b/crates/dspy-rs/tests/test_module_facet_shapes.rs new file mode 100644 index 00000000..4fb1bc3d --- /dev/null +++ b/crates/dspy-rs/tests/test_module_facet_shapes.rs @@ -0,0 +1,88 @@ +use dspy_rs::__macro_support::bamltype::facet::{self, Type, UserType}; +use dspy_rs::{ChainOfThought, Facet, ModuleExt, ReAct, Signature}; + +#[derive(Signature, Clone, Debug, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +fn shape_of Facet<'a>>(_: &T) -> &'static facet::Shape { + >::SHAPE +} + +fn struct_fields(shape: &'static facet::Shape) -> &'static [facet::Field] { + match shape.ty { + Type::User(UserType::Struct(struct_ty)) => struct_ty.fields, + _ => panic!( + "expected struct shape for {}, got {:?}", + shape.type_identifier, shape.ty + ), + } +} + +fn find_field(shape: &'static facet::Shape, name: &str) -> &'static facet::Field { + struct_fields(shape) + .iter() + .find(|field| field.name == name) + .unwrap_or_else(|| { + let available = struct_fields(shape) + .iter() + .map(|field| field.name) + .collect::>(); + panic!( + "field `{name}` not found on shape `{}` (available: {:?})", + shape.type_identifier, available + ) + }) +} + +fn drop_reasoning(output: dspy_rs::WithReasoning) -> QAOutput { + output.inner +} + +#[test] +fn chain_of_thought_shape_exposes_predictor_field() { + let module = ChainOfThought::::new(); + let shape = shape_of(&module); + let predictor = find_field(shape, "predictor"); + + assert!(!predictor.should_skip_deserializing()); + assert_eq!(predictor.shape().type_identifier, "Predict"); +} + +#[test] +fn react_shape_exposes_action_and_extract_and_skips_non_parameters() { + let module = ReAct::::new(); + let shape = shape_of(&module); + + let action = find_field(shape, "action"); + let extract = find_field(shape, "extract"); + assert!(!action.should_skip_deserializing()); + assert!(!extract.should_skip_deserializing()); + assert_eq!(action.shape().type_identifier, "Predict"); + assert_eq!(extract.shape().type_identifier, "Predict"); + + let tools = find_field(shape, "tools"); + let max_steps = find_field(shape, "max_steps"); + assert!(tools.should_skip_deserializing()); + assert!(max_steps.should_skip_deserializing()); +} + +#[test] +fn map_shape_exposes_inner_chain_of_thought_shape() { + let mapped = ChainOfThought::::new() + .map(drop_reasoning as fn(dspy_rs::WithReasoning) -> QAOutput); + let map_shape = shape_of(&mapped); + let inner = find_field(map_shape, "inner"); + + assert!(!inner.should_skip_deserializing()); + assert_eq!(inner.shape().type_identifier, "ChainOfThought"); + + let nested_predictor = find_field(inner.shape(), "predictor"); + assert_eq!(nested_predictor.shape().type_identifier, "Predict"); +} diff --git a/crates/dspy-rs/tests/test_module_forward_all.rs b/crates/dspy-rs/tests/test_module_forward_all.rs index 052ced30..ca21a57f 100644 --- a/crates/dspy-rs/tests/test_module_forward_all.rs +++ b/crates/dspy-rs/tests/test_module_forward_all.rs @@ -1,18 +1,33 @@ use std::time::Duration; -use dspy_rs::{CallMetadata, CallOutcome, Module, forward_all}; +use dspy_rs::{BamlType, CallMetadata, CallOutcome, Module, forward_all}; use tokio::time::sleep; struct DelayEcho; +#[derive(Clone, Debug, PartialEq, Eq)] +#[BamlType] +struct DelayInput { + value: i64, + delay_ms: i64, +} + +#[derive(Clone, Debug, PartialEq, Eq)] +#[BamlType] +struct DelayOutput { + value: i64, +} + impl Module for DelayEcho { - type Input = (usize, u64); - type Output = usize; + type Input = DelayInput; + type Output = DelayOutput; async fn forward(&self, input: Self::Input) -> CallOutcome { - let (value, delay_ms) = input; - sleep(Duration::from_millis(delay_ms)).await; - CallOutcome::ok(value, CallMetadata::default()) + sleep(Duration::from_millis(input.delay_ms.max(0) as u64)).await; + CallOutcome::ok( + DelayOutput { value: input.value }, + CallMetadata::default(), + ) } } @@ -20,12 +35,29 @@ impl Module for DelayEcho { #[tokio::test] async fn forward_all_preserves_input_order() { let module = DelayEcho; - let inputs = vec![(0, 60), (1, 10), (2, 40), (3, 5)]; + let inputs = vec![ + DelayInput { + value: 0, + delay_ms: 60, + }, + DelayInput { + value: 1, + delay_ms: 10, + }, + DelayInput { + value: 2, + delay_ms: 40, + }, + DelayInput { + value: 3, + delay_ms: 5, + }, + ]; let outcomes = forward_all(&module, inputs, 2).await; let outputs = outcomes .into_iter() - .map(|outcome| outcome.into_result().expect("forward should succeed")) + .map(|outcome| outcome.into_result().expect("forward should succeed").value) .collect::>(); assert_eq!(outputs, vec![0, 1, 2, 3]); diff --git a/crates/dspy-rs/tests/test_react_builder.rs b/crates/dspy-rs/tests/test_react_builder.rs index f1eaa805..74d7c469 100644 --- a/crates/dspy-rs/tests/test_react_builder.rs +++ b/crates/dspy-rs/tests/test_react_builder.rs @@ -6,6 +6,7 @@ use dspy_rs::{ }; use rig::completion::AssistantContent; use rig::message::Text; +use serde_json::Value; use tokio::sync::Mutex; static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); @@ -23,6 +24,14 @@ fn text_response(text: impl Into) -> AssistantContent { AssistantContent::Text(Text { text: text.into() }) } +fn parse_calculator_args(args: &str) -> (i64, i64) { + let value: Value = + serde_json::from_str(args).unwrap_or_else(|_| serde_json::json!({ "a": 0, "b": 0 })); + let a = value.get("a").and_then(Value::as_i64).unwrap_or(0); + let b = value.get("b").and_then(Value::as_i64).unwrap_or(0); + (a, b) +} + async fn configure_test_lm(responses: Vec) { unsafe { std::env::set_var("OPENAI_API_KEY", "test"); @@ -50,65 +59,116 @@ struct QA { answer: String, } -type QAOutput = __QAOutput; - #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] #[tokio::test] -async fn react_builder_executes_tool_loop_and_extracts_output() { +async fn react_builder_executes_multi_tool_calculator_loop_and_extracts_output() { let _lock = SETTINGS_LOCK.lock().await; let action_1 = response_with_fields(&[ - ("thought", "Need lookup"), - ("action", "search"), - ("action_input", "{\"query\":\"capital of france\"}"), + ("thought", "Need to add first"), + ("action", "add"), + ("action_input", "{\"a\":17,\"b\":5}"), ]); let action_2 = response_with_fields(&[ + ("thought", "Now multiply the intermediate result"), + ("action", "multiply"), + ("action_input", "{\"a\":22,\"b\":3}"), + ]); + let action_3 = response_with_fields(&[ ("thought", "Done"), ("action", "finish"), - ("action_input", "Use gathered observation"), + ("action_input", "66"), ]); - let extract = response_with_fields(&[("output", "{\"answer\":\"Paris\"}")]); + let extract = response_with_fields(&[("output", "{\"answer\":\"66\"}")]); - configure_test_lm(vec![action_1, action_2, extract]).await; + configure_test_lm(vec![action_1, action_2, action_3, extract]).await; - let calls = std::sync::Arc::new(AtomicUsize::new(0)); - let calls_for_tool = calls.clone(); + let add_calls = std::sync::Arc::new(AtomicUsize::new(0)); + let multiply_calls = std::sync::Arc::new(AtomicUsize::new(0)); + let add_calls_for_tool = add_calls.clone(); + let multiply_calls_for_tool = multiply_calls.clone(); let react = ReAct::::builder() - .max_steps(3) - .tool("search", "Search docs", move |args| { - let calls_for_tool = calls_for_tool.clone(); + .max_steps(4) + .tool("add", "Adds two integers {a,b}", move |args| { + let add_calls = add_calls_for_tool.clone(); + async move { + add_calls.fetch_add(1, Ordering::SeqCst); + let (a, b) = parse_calculator_args(&args); + (a + b).to_string() + } + }) + .tool("multiply", "Multiplies two integers {a,b}", move |args| { + let multiply_calls = multiply_calls_for_tool.clone(); async move { - calls_for_tool.fetch_add(1, Ordering::SeqCst); - format!("observation:{args}") + multiply_calls.fetch_add(1, Ordering::SeqCst); + let (a, b) = parse_calculator_args(&args); + (a * b).to_string() } }) .build(); let outcome = react .forward(QAInput { - question: "What is the capital of France?".to_string(), + question: "Compute (17 + 5) * 3 using tools.".to_string(), }) .await; let (result, metadata) = outcome.into_parts(); assert_eq!( - calls.load(Ordering::SeqCst), + add_calls.load(Ordering::SeqCst), 1, - "tool execution count mismatch; metadata raw_response: {}", + "add tool execution count mismatch; metadata raw_response: {}", metadata.raw_response ); + assert_eq!( + multiply_calls.load(Ordering::SeqCst), + 1, + "multiply tool execution count mismatch; metadata raw_response: {}", + metadata.raw_response + ); + let tool_names: Vec = metadata + .tool_calls + .iter() + .map(|call| call.function.name.clone()) + .collect(); + assert!( + tool_names.iter().any(|name| name == "add") + && tool_names.iter().any(|name| name == "multiply"), + "expected add and multiply in tool call trajectory; got {:?}", + tool_names + ); + assert!( + metadata + .tool_executions + .iter() + .any(|entry| entry.contains("Step 1")) + && metadata + .tool_executions + .iter() + .any(|entry| entry.contains("Step 2")) + && metadata + .tool_executions + .iter() + .any(|entry| entry.contains("Step 3")), + "expected full multi-step trajectory in metadata; got {:?}", + metadata.tool_executions + ); assert!( metadata .tool_executions .iter() - .any(|entry| entry.contains("observation:")), - "expected observation execution in metadata; got {:?}", + .any(|entry| entry.contains("Observation: 22")) + && metadata + .tool_executions + .iter() + .any(|entry| entry.contains("Observation: 66")), + "expected calculator observations in trajectory; got {:?}", metadata.tool_executions ); let result: QAOutput = result .map_err(|err| format!("{err:?}")) .expect("react call should succeed"); - assert_eq!(result.answer, "Paris"); + assert_eq!(result.answer, "66"); } diff --git a/crates/dspy-rs/tests/test_with_reasoning_deref.rs b/crates/dspy-rs/tests/test_with_reasoning_deref.rs index 4f69e96c..2d720137 100644 --- a/crates/dspy-rs/tests/test_with_reasoning_deref.rs +++ b/crates/dspy-rs/tests/test_with_reasoning_deref.rs @@ -9,8 +9,6 @@ struct QA { answer: String, } -type QAOutput = __QAOutput; - #[test] fn with_reasoning_deref_exposes_inner_fields() { let output = WithReasoning { diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index 65123511..a6ab9592 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -437,26 +437,49 @@ fn generate_helper_structs( runtime: &syn::Path, ) -> syn::Result { let input_name = format_ident!("{}Input", name); - let output_name = format_ident!("__{}Output", name); - let all_name = format_ident!("__{}All", name); + let output_name = format_ident!("{}Output", name); + let all_name = format_ident!("{}All", name); let helper_generics = unconstrained_generics(generics); let (helper_impl_generics, helper_ty_generics, _helper_where_clause) = helper_generics.split_for_impl(); let mut input_fields: Vec<_> = parsed.input_fields.iter().map(field_tokens).collect(); - if let Some(marker) = generic_marker_field(generics, &parsed.input_fields) { - input_fields.push(marker); + let input_marker = generic_marker_field(generics, &parsed.input_fields); + if let Some(marker) = &input_marker { + input_fields.push(marker.field.clone()); + } + let input_new_args: Vec<_> = parsed.input_fields.iter().map(constructor_arg_tokens).collect(); + let mut input_new_fields: Vec<_> = parsed + .input_fields + .iter() + .map(constructor_init_tokens) + .collect(); + if let Some(marker) = &input_marker { + input_new_fields.push(marker.init.clone()); } let mut output_fields: Vec<_> = parsed.output_fields.iter().map(field_tokens).collect(); - if let Some(marker) = generic_marker_field(generics, &parsed.output_fields) { - output_fields.push(marker); + let output_marker = generic_marker_field(generics, &parsed.output_fields); + if let Some(marker) = &output_marker { + output_fields.push(marker.field.clone()); + } + let output_new_args: Vec<_> = parsed.output_fields.iter().map(constructor_arg_tokens).collect(); + let mut output_new_fields: Vec<_> = + parsed.output_fields.iter().map(constructor_init_tokens).collect(); + if let Some(marker) = &output_marker { + output_new_fields.push(marker.init.clone()); } let mut all_fields: Vec<_> = parsed.all_fields.iter().map(field_tokens).collect(); - if let Some(marker) = generic_marker_field(generics, &parsed.all_fields) { - all_fields.push(marker); + let all_marker = generic_marker_field(generics, &parsed.all_fields); + if let Some(marker) = &all_marker { + all_fields.push(marker.field.clone()); + } + let all_new_args: Vec<_> = parsed.all_fields.iter().map(constructor_arg_tokens).collect(); + let mut all_new_fields: Vec<_> = parsed.all_fields.iter().map(constructor_init_tokens).collect(); + if let Some(marker) = &all_marker { + all_new_fields.push(marker.init.clone()); } let facet = quote! { #runtime::__macro_support::bamltype::facet }; @@ -469,6 +492,14 @@ fn generate_helper_structs( #(#input_fields),* } + impl #helper_impl_generics #input_name #helper_ty_generics { + #vis fn new(#(#input_new_args),*) -> Self { + Self { + #(#input_new_fields),* + } + } + } + impl #helper_impl_generics #runtime::__macro_support::bamltype::BamlSchema for #input_name #helper_ty_generics where #input_name #helper_ty_generics: for<'a> #facet::Facet<'a>, @@ -487,6 +518,14 @@ fn generate_helper_structs( #(#output_fields),* } + impl #helper_impl_generics #output_name #helper_ty_generics { + pub fn new(#(#output_new_args),*) -> Self { + Self { + #(#output_new_fields),* + } + } + } + impl #helper_impl_generics #runtime::__macro_support::bamltype::BamlSchema for #output_name #helper_ty_generics where #output_name #helper_ty_generics: for<'a> #facet::Facet<'a>, @@ -505,6 +544,14 @@ fn generate_helper_structs( #(#all_fields),* } + impl #helper_impl_generics #all_name #helper_ty_generics { + pub fn new(#(#all_new_args),*) -> Self { + Self { + #(#all_new_fields),* + } + } + } + impl #helper_impl_generics #runtime::__macro_support::bamltype::BamlSchema for #all_name #helper_ty_generics where #all_name #helper_ty_generics: for<'a> #facet::Facet<'a>, @@ -533,19 +580,29 @@ fn unconstrained_generics(generics: &syn::Generics) -> syn::Generics { helper_generics } +struct MarkerFieldTokens { + field: proc_macro2::TokenStream, + init: proc_macro2::TokenStream, +} + fn generic_marker_field( generics: &syn::Generics, fields: &[ParsedField], -) -> Option { +) -> Option { let missing = missing_type_params_for_fields(generics, fields); if missing.is_empty() { return None; } - Some(quote! { - #[doc(hidden)] - #[facet(skip)] - __phantom: ::std::marker::PhantomData<(#(#missing),*)> + Some(MarkerFieldTokens { + field: quote! { + #[doc(hidden)] + #[facet(skip)] + _phantom: ::std::marker::PhantomData<(#(#missing),*)> + }, + init: quote! { + _phantom: ::std::marker::PhantomData + }, }) } @@ -621,6 +678,17 @@ fn field_tokens(field: &ParsedField) -> proc_macro2::TokenStream { } } +fn constructor_arg_tokens(field: &ParsedField) -> proc_macro2::TokenStream { + let ident = &field.ident; + let ty = &field.ty; + quote! { #ident: #ty } +} + +fn constructor_init_tokens(field: &ParsedField) -> proc_macro2::TokenStream { + let ident = &field.ident; + quote! { #ident } +} + fn generate_field_metadata( name: &Ident, fields: &[ParsedField], @@ -717,7 +785,7 @@ fn generate_baml_delegation( parsed: &ParsedSignature, runtime: &syn::Path, ) -> proc_macro2::TokenStream { - let all_name = format_ident!("__{}All", name); + let all_name = format_ident!("{}All", name); let field_names: Vec<_> = parsed.all_fields.iter().map(|field| &field.ident).collect(); let (impl_generics, ty_generics, where_clause) = generics.split_for_impl(); @@ -774,7 +842,7 @@ fn generate_signature_impl( runtime: &syn::Path, ) -> proc_macro2::TokenStream { let input_name = format_ident!("{}Input", name); - let output_name = format_ident!("__{}Output", name); + let output_name = format_ident!("{}Output", name); let (impl_generics, ty_generics, where_clause) = generics.split_for_impl(); let instruction = LitStr::new(&parsed.instruction, proc_macro2::Span::call_site()); diff --git a/crates/dsrs-macros/tests/signature_derive.rs b/crates/dsrs-macros/tests/signature_derive.rs index a2caf115..607495a4 100644 --- a/crates/dsrs-macros/tests/signature_derive.rs +++ b/crates/dsrs-macros/tests/signature_derive.rs @@ -41,14 +41,10 @@ struct GenericFlattenSig Facet<'a> + Clone + Send + Sync> #[test] fn generates_typed_input_and_output_helpers() { - let input = TestSigInput { - question: "test".to_string(), - }; + let input = TestSigInput::new("test".to_string()); assert_eq!(input.question, "test"); - let _output = __TestSigOutput { - answer: "ok".to_string(), - }; + let _output = TestSigOutput::new("ok".to_string()); } #[test] @@ -88,10 +84,7 @@ fn derives_generic_helpers_and_flatten_paths() { question: "Where?".to_string(), }, }; - let _typed_output = __GenericFlattenSigOutput:: { - answer: "Here".to_string(), - __phantom: std::marker::PhantomData, - }; + let _typed_output = GenericFlattenSigOutput::::new("Here".to_string()); let schema = SignatureSchema::of::>(); let input_paths: Vec> = schema diff --git a/docs/plans/modules/phase_4_5_cleanup_kickoff.md b/docs/plans/modules/phase_4_5_cleanup_kickoff.md new file mode 100644 index 00000000..80a975f7 --- /dev/null +++ b/docs/plans/modules/phase_4_5_cleanup_kickoff.md @@ -0,0 +1,212 @@ +# Phase 4.5-lite: Prerequisite Cleanup + +Date: 2026-02-09 +Status: Completed (executed 2026-02-10) +Revised: 2026-02-09 (descoped from full 4.5 to prerequisites-only) + +## Revision History + +Original Phase 4.5 planned a full cleanup cycle with legacy quarantine, compatibility +wrappers, staged deletion gates, and optimizer ABI prep work. After reviewing the +actual code against the breadboard/design reference, the conclusion was: + +**Most of Phase 4.5's planned work is either V5 in disguise (C3 optimizer ABI, C4 +evaluator adapter) or unnecessary intermediate scaffolding (C2 quarantine) that V5 +replaces.** Building compatibility wrappers for a system you're about to replace is +waste. + +Revised plan: do only the hard prerequisites for V5, build V5 and V6, then do one +kill pass to delete all legacy surfaces in a single sweep. + +## Revised Execution Roadmap + +| Phase | Scope | What Dies | +|---|---|---| +| **4.5-lite** (this doc) | V5 prerequisites only: bounds, annotations, macro naming | Nothing deleted yet | +| **V5** (Slice 5) | F6 walker + F8 DynPredictor + typed optimizer/evaluator | Legacy system becomes fully replaceable | +| **V6** (Slice 6) | F9 DynModule + F10 ProgramGraph + registry | Dynamic graph realized | +| **Kill Pass** (post-V6) | Delete all legacy surfaces, rewrite examples | `MetaSignature`, `LegacyPredict`, `Optimizable`, `#[LegacySignature]`, `#[parameter]`, `Example`/`Prediction` coupling, examples 01-10 | + +Rationale: the legacy system is ugly but stable. It compiles, passes tests, and +doesn't block V5/V6 development. Every intermediate cleanup pass (quarantine, +compatibility wrappers, staged deletion) is throwaway work if V5 provides the actual +replacement. Build the replacement first, then delete the old thing in one sweep. + +## Ground Truth + +Primary references: +- `docs/plans/modules/tracker.md` +- `docs/plans/modules/slices_closure_audit.md` +- `docs/specs/modules/breadboard.md` +- `docs/specs/modules/shapes.md` +- `docs/specs/modules/design_reference.md` + +## Locked Decisions (Do Not Re-open) + +1. **S1/S6 direction is Option C full replacement**: Facet-native `SignatureSchema` is the target; legacy `FieldSpec`/`MetaSignature` are transitional only. +2. **Single call surface**: `CallOutcome` is the default call contract; no parallel convenience call path. +3. **Typed path is primary; dynamic is escape hatch**: user-facing APIs should optimize for typed modules first. +4. **`build_system` fallibility is intentional**: spec/docs were aligned to `Result`. +5. **Post-slice reconciliations already completed**: `ChainOfThought` Facet discoverability and ReAct parity fixes are done. + +## C1-C8 Arbitration Outcomes + +All eight decision checkpoints from the original kickoff are resolved below. +Three are in scope for 4.5-lite. Five are rerouted. + +| ID | Decision | Resolution | Phase | +|---|---|---|---| +| **C1** | `Module` trait bounds | **Accept A (hard tighten now).** No compatibility wrappers — the legacy `Module` impls stay on the old types until the kill pass deletes them. New code uses tight bounds. Wrappers were only needed if we were doing staged migration; we're not. | **4.5-lite** | +| **C2** | Legacy surface cutover | **Skip quarantine. Defer to kill pass.** Legacy surfaces (`MetaSignature`, `LegacyPredict`, `Optimizable`) remain untouched until V5 provides complete replacement. No intermediate quarantine module, no feature gates. Straight deletion after V5+V6. | **Kill Pass** | +| **C3** | Optimizer core contract | **This IS V5.** Migrating optimizer ABI from `Example/Prediction` to `DynPredictor`/`SignatureSchema` is the V5 slice definition. Not prep work. | **V5** | +| **C4** | Evaluator/feedback substrate | **This IS V5.** Typed evaluator surface replaces `Evaluator: Module`. | **V5** | +| **C5** | F12 helper generics + `__phantom` | **Accept B (redesign).** Fix macro to generate `QAOutput` not `__QAOutput`. Hide phantom from struct literal construction. | **4.5-lite** | +| **C6** | Wrapper/combinator discoverability | **Accept B (full matrix).** Fix `#[facet(opaque)]` to transparent on predictor fields. Add walker traversal tests for shipped combinators. This is a hard V5 prerequisite. | **4.5-lite** | +| **C7** | Container traversal | **Accept A (defer).** Add error-path contract tests during V5 when the walker exists to test against. No point writing walker tests before the walker. | **V5** | +| **C8** | Typed->graph edge derivation | **Accept B (lock strategy).** Annotation-first with optional trace inference later. Record as design note in V6 planning. | **V6 planning** | + +## Phase 4.5-lite Scope (Three Items) + +### Item 1: Module Trait Bounds (C1) + +Tighten `Module` associated type bounds from: +```rust +pub trait Module: Send + Sync { + type Input: Send + Sync + 'static; + type Output: Send + Sync + 'static; +``` +To: +```rust +pub trait Module: Send + Sync { + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; +``` + +Impact: +- Existing typed modules (`Predict`, `ChainOfThought`, `ReAct`, `Map`, `AndThen`) already satisfy these bounds. No changes needed. +- Legacy impls that use `Module` will break IF `Example`/`Prediction` don't implement `BamlType + Facet`. Two options: + - (a) Add `BamlType + Facet` derives to `Example`/`Prediction` temporarily so legacy compiles. Kill pass removes them. + - (b) Remove `Module` impl from legacy types now; legacy flows use `Predictor` trait (which they already do). +- Decision on (a) vs (b) during implementation based on blast radius. + +Files to touch: +- `crates/dspy-rs/src/core/module.rs` (trait definition) +- `crates/dspy-rs/src/core/module_ext.rs` (Map/AndThen bounds propagation) +- Any examples that `impl Module` with untyped I/O + +### Item 2: Macro Naming and Phantom Cleanup (C5) + +Current problems: +- Generated output type is `__QAOutput` (double-underscore prefix leaks into user code) +- Generic signatures require `__phantom: std::marker::PhantomData` in struct literals +- Type alias workarounds like `type ReActActionStepOutput = __ReActActionStepOutput;` + +Target: +- Generated types use clean names: `QAOutput`, `QAInput` +- Phantom field is either hidden from construction (builder/`Default`) or eliminated +- No double-underscore types in public API or example code + +Files to touch: +- `crates/dsrs-macros/src/lib.rs` (macro code generation) +- `crates/dsrs-macros/tests/signature_derive.rs` (macro tests) +- `crates/dspy-rs/src/modules/react.rs` (type aliases, phantom construction) +- `crates/dspy-rs/examples/01-simple.rs` (`__QAOutput` references) +- Any other files referencing `__`-prefixed generated types + +### Item 3: Facet Annotation Fixes for Walker Transparency (C6) + +Current problems: +- `ChainOfThought.predictor` is `#[facet(opaque)]` — walker can't see the Predict inside +- `ReAct.action` and `ReAct.extract` are `#[facet(opaque)]` — same problem +- No tests verify walker traversal through wrappers + +Target: +- Predictor fields on library modules use the correct Facet annotation for walker transparency +- Walker traversal tests cover: `ChainOfThought`, `ReAct`, `Map`, `AndThen` +- Tests verify correct dotted-path output (e.g. `predictor` for CoT, `action` + `extract` for ReAct, `inner.predictor` for `Map>`) + +Note: the full F6 walker runtime ships in V5. These tests may use a minimal test walker or verify Facet shape metadata directly, depending on what infrastructure exists. The point is that the annotations are correct so V5 doesn't immediately break. + +Files to touch: +- `crates/dspy-rs/src/modules/chain_of_thought.rs` (annotation fix) +- `crates/dspy-rs/src/modules/react.rs` (annotation fix) +- `crates/dspy-rs/tests/` (new walker/shape traversal tests) + +## Exit Gates (Phase 4.5-lite) + +1. **Bounds gate**: `Module` trait requires `BamlType + Facet` on associated types. +2. **Naming gate**: No `__`-prefixed types in public API, examples, or tests. No user-facing `PhantomData` initialization. +3. **Annotation gate**: All predictor fields on shipped library modules use walker-transparent Facet annotations. Shape traversal tests pass. +4. **Regression gate**: `cargo check -p dspy-rs && cargo check -p dspy-rs --examples && cargo test` +5. **Smoke gate**: Examples 90-93 still pass. +6. **Legacy untouched gate**: `MetaSignature`, `LegacyPredict`, `Optimizable`, evaluator traits, and legacy examples are not modified (they'll be dealt with in the kill pass). + +## What Happens to Legacy During V5/V6 + +The legacy system stays in the codebase untouched. It compiles, it passes its tests, it works for the optimizer examples. It is not canonical — the 90-93 smoke examples are the reference for how the API should look. + +During V5/V6 development: +- Do NOT use examples 01-10 as reference. Use 90-93. +- Do NOT add new `MetaSignature`/`Optimizable` impls on new code. +- Do NOT extend the legacy evaluator trait surface. +- The legacy system is frozen. No new features, no fixes, no attention. + +## Kill Pass Checklist (Post-V6) + +Kept here for future reference. Execute after V5 + V6 are complete. + +- [ ] `MetaSignature` trait: zero-reference check, delete +- [ ] `LegacyPredict` struct: zero-reference check, delete +- [ ] `Optimizable` trait + `#[derive(Optimizable)]`: zero-reference check, delete +- [ ] `#[LegacySignature]` proc macro: zero-reference check, delete +- [ ] `#[parameter]` attribute: zero-reference check, delete +- [ ] `Predictor` trait (legacy forward path): zero-reference check, delete +- [ ] `Evaluator: Module` constraint: replaced by V5 typed surface +- [ ] `FeedbackEvaluator` / `ExecutionTrace` Example/Prediction coupling: replaced by V5 +- [ ] Triple-impl blocks on `Predict` (`Module` + `MetaSignature` + `Optimizable`): reduce to `Module` only +- [ ] Triple-impl blocks on `ChainOfThought`: same +- [ ] Examples 01-10: rewrite against typed path or delete +- [ ] `Example` / `Prediction` types: evaluate if anything remains; delete or move behind legacy feature +- [ ] Container traversal error-path contract tests (C7) +- [ ] Graph edge derivation strategy doc (C8) +- [ ] Final: `cargo check -p dspy-rs && cargo check -p dspy-rs --examples && cargo test` +- [ ] Final: all 90-93+ smoke examples pass +- [ ] Update `tracker.md` and `slices_closure_audit.md` + +## Superseded Sections (Historical Reference) + +The following content from the original Phase 4.5 kickoff is preserved for context +but is no longer the active plan. + +
+Original Phase 4.5 scope (superseded) + +### Original Scope Guardrails + +Phase 4.5 was originally scoped as a full API cleanup and contract-hardening phase +including legacy quarantine, compatibility wrappers, staged deletion gates, and +optimizer ABI prep work. This was descoped because: + +1. C3 (optimizer ABI migration) and C4 (evaluator adapter) are V5 feature work, not cleanup. +2. C2 (legacy quarantine) creates intermediate scaffolding that V5 replaces entirely. +3. The compatibility wrappers needed for staged C1 migration are unnecessary if legacy + impls are left untouched until the kill pass. + +### Original Execution Order (Superseded) + +- Stage A: Contract Freeze (resolve C1-C8) +- Stage B: API Surface Cleanup (bounds + macro) +- Stage C: Legacy Quarantine and Cutover (quarantine + optimizer migration) +- Stage D: Walker and Discoverability Hardening (wrapper coverage) + +Replaced by: 4.5-lite (prerequisites) -> V5 -> V6 -> Kill Pass. + +### Original Confusion Points (Resolved) + +1. "Where optimizer migration stops in Phase 4.5" — Answer: it doesn't start. It's V5. +2. "Evaluator/feedback ownership" — Answer: V5 replaces the evaluator contract. +3. "`Module` bound tightening blast radius" — Answer: hard tighten; legacy impls stay on old types until kill pass. +4. "Legacy deletion gate" — Answer: deletion happens in one sweep after V5+V6, not staged. +5. "Combinator walker guarantees" — Answer: annotation fixes in 4.5-lite; walker runtime in V5. + +
diff --git a/docs/plans/modules/slices_1_3_closure_audit.md b/docs/plans/modules/slices_1_3_closure_audit.md index 7ad2096f..2e729abc 100644 --- a/docs/plans/modules/slices_1_3_closure_audit.md +++ b/docs/plans/modules/slices_1_3_closure_audit.md @@ -3,6 +3,17 @@ Date: 2026-02-09 Scope: Breadboard vertical slices `V1`, `V2`, `V3` from `docs/specs/modules/breadboard.md`. +> Status Update (2026-02-09): +> This file is a historical snapshot captured at Slice 1–3 closure time. +> Current authoritative status for Slice 1–4 + cleanup routing: +> - `docs/plans/modules/slices_closure_audit.md` +> - `docs/plans/modules/tracker.md` +> - `docs/plans/modules/phase_4_5_cleanup_kickoff.md` +> +> Post-slice reconciliations completed after this snapshot: +> - `U29` (`ChainOfThought` Facet discoverability) resolved. +> - `build_system` API/spec mismatch resolved by spec alignment to fallible `Result`. + ## Audit Method - Re-read `docs/specs/modules/breadboard.md` slice details and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints for `F1–F4`, `F5`, `F7`, `F11(CoT)`, and `F12`. - Verify implementation in repo code and tests. @@ -118,3 +129,12 @@ Slice 3 verdict: **Partially Implemented** (three explicit hardening items defer - `cargo test -p dspy-rs --test test_call_outcome --test test_signature_schema --test test_chat_adapter_schema --test test_flatten_roundtrip --test test_chain_of_thought_swap --test test_with_reasoning_deref` Both command groups passed in current workspace state. + +## Post-Slice-4 Reconciliation (Added) + +The following rows in this historical snapshot have been superseded: + +- `U29` in Slice 2 table was deferred at snapshot time; it is now implemented (`ChainOfThought` derives `facet::Facet`). +- `build_system` return-shape mismatch in the deferral ledger is now resolved by spec alignment. + +Use `docs/plans/modules/slices_closure_audit.md` for the current deferred ledger. diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index 59e69e30..d0b9dee7 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -16,11 +16,12 @@ Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4` from `docs/specs/module | Affordance(s) | Status | Evidence | |---|---|---| -| `U14` ReAct builder with tools (`.tool("name", "desc", fn)`) | Implemented | `crates/dspy-rs/src/modules/react.rs:53`, `crates/dspy-rs/src/modules/react.rs:295`, `crates/dspy-rs/src/modules/react.rs:324`, `crates/dspy-rs/tests/test_react_builder.rs:57` | -| `U14` ReAct action/extract composition (two `Predict` leaves + loop in `forward`) | Implemented | `crates/dspy-rs/src/modules/react.rs:61`, `crates/dspy-rs/src/modules/react.rs:64`, `crates/dspy-rs/src/modules/react.rs:156`, `crates/dspy-rs/tests/test_react_builder.rs:60` | +| `U14` ReAct builder with tools (`.tool("name", "desc", fn)`) | Implemented | `crates/dspy-rs/src/modules/react.rs:53`, `crates/dspy-rs/src/modules/react.rs:273`, `crates/dspy-rs/src/modules/react.rs:325`, `crates/dspy-rs/tests/test_react_builder.rs:93` | +| `U14` ReAct action/extract composition (two `Predict` leaves + loop in `forward`) | Implemented | `crates/dspy-rs/src/modules/react.rs:61`, `crates/dspy-rs/src/modules/react.rs:64`, `crates/dspy-rs/src/modules/react.rs:148`, `crates/dspy-rs/tests/test_react_builder.rs:66` | +| `U14` ReAct trajectory parity without extra API (`CallOutcome` metadata carries trace, no `call_with_trajectory`) | Implemented | `crates/dspy-rs/src/modules/react.rs:85`, `crates/dspy-rs/src/modules/react.rs:135`, `crates/dspy-rs/src/modules/react.rs:236`, `crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs:89` | | `U48` standalone `forward_all(&module, inputs, concurrency)` | Implemented | `crates/dspy-rs/src/core/module.rs:22`, `crates/dspy-rs/src/evaluate/evaluator.rs:24`, `crates/dspy-rs/tests/test_module_forward_all.rs:21` | | `U51` module combinators (`.map()`, `.and_then()`) | Implemented | `crates/dspy-rs/src/core/module_ext.rs:5`, `crates/dspy-rs/src/core/module_ext.rs:28`, `crates/dspy-rs/src/core/module_ext.rs:55`, `crates/dspy-rs/tests/test_module_ext.rs:37` | -| `S4` tool storage for operational modules | Implemented | `crates/dspy-rs/src/modules/react.rs:66`, `crates/dspy-rs/src/modules/react.rs:251`, `crates/dspy-rs/src/modules/react.rs:285` | +| `S4` tool storage for operational modules | Implemented | `crates/dspy-rs/src/modules/react.rs:66`, `crates/dspy-rs/src/modules/react.rs:152`, `crates/dspy-rs/src/modules/react.rs:335` | Slice 4 verdict: **Implemented**. @@ -34,6 +35,18 @@ Slice 4 verdict: **Implemented**. | Option-C full legacy cutover (`MetaSignature`/`LegacyPredict`) | Legacy compatibility surfaces still active for older flows | **Post-Implementation Cleanup** | Schema-first typed path is sole default path and legacy surfaces are removed/quarantined with migration notes | | `V5` walker discoverability for additional wrappers/combinators | Deferred by earlier closure audits; only Slice 4 ReAct discoverability addressed now | **Post-Implementation Cleanup** (prep) + **V5 Implement** (completion) | Walker traverses wrapper module trees end-to-end with tests for nested combinator/module stacks | +## Cleanup Kickoff Reference + +Phase 4.5 execution planning and decision arbitration checkpoints are now tracked in: + +- `docs/plans/modules/phase_4_5_cleanup_kickoff.md` + +Use that doc as the active decision matrix for: +- strict typed-bound migration strategy, +- legacy-surface cutover gates, +- optimizer/evaluator contract migration boundaries, +- wrapper/combinator walker completion scope. + ## Post-Implementation Cleanup Resolved Items - `U29` (`ChainOfThought` Facet discoverability) resolved in code: `crates/dspy-rs/src/modules/chain_of_thought.rs:16`. - `build_system` API/spec mismatch resolved by spec alignment to fallible return (`Result`): `docs/specs/modules/breadboard.md:101`, `docs/specs/modules/design_reference.md:583`. @@ -44,4 +57,4 @@ Slice 4 verdict: **Implemented**. - `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder --test test_chain_of_thought_swap` - `set -a && source .env && set +a && cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` -Observed smoke output: `tool_executions: 0`, `answer: smoke-ok`. +Observed smoke output (calculator trajectory parity pass): `tool_calls: 3`, `tool_executions: 5`, trajectory printed with `Step 1..4`, `answer: 70`. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 714e4bdf..6360e29e 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,8 +1,12 @@ # Implementation Tracker ## Current State -- **Slice**: 4 -- **Phase**: Done (Post-Implementation Cleanup pass committed) +- **Slice**: 4.5-lite +- **Phase**: Completed (Phase 4.5-lite Prerequisite Cleanup) +- **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` +- **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` +- **Roadmap**: 4.5-lite (prerequisites) → V5 (optimizer interface) → V6 (dynamic graph) → Kill Pass (legacy deletion) +- **Roadmap rationale**: Original Phase 4.5 descoped; C3/C4 recognized as V5 work, C2 quarantine replaced by post-V6 deletion sweep ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | @@ -37,10 +41,29 @@ | `019c4467-1e16-7b82-a306-2989dd593944` | Plan refinery against ground truth for Slice 4 | 4 | Plan Refinery | Completed; produced `slice_4_refinery.md` and updated `slice_4.md` with spec/shape consistency checks | One ambiguity surfaced (`and_then` metadata semantics) and was resolved during arbitration in the approved plan | | `019c4475-b295-75b0-8b03-ecfd11932e5f` | Adversarial review against ground truth for Slice 4 | 4 | Adversarial Review | Completed; produced `slice_4_review.md` with one high and one medium finding | High: ReAct missing `Facet` derivation/discoverability. Medium: ReAct loop prompt formatting bypasses adapter building blocks | | `019c4478-d3ef-76b1-98e9-cbf5f4d127ec` | Apply agreed Slice 4 arbitrate fix (ReAct Facet discoverability) | 4 | Arbitrate | Completed; added `facet::Facet` derive on `ReAct` and skipped non-discoverable fields (`tools`, `max_steps`) while keeping predictor fields discoverable | Verified by `cargo check -p dspy-rs`, then re-ran targeted tests and Slice 4 smoke successfully | +| `manual` | ReAct DSPy parity pass (single call surface + trajectory smoke evidence) | 4 | Implement → Smoke Test | Completed; removed public `call_with_trajectory`, kept trajectory in normal `CallOutcome` metadata, upgraded deterministic test to multi-tool calculator loop, and replaced smoke with GPT-5.2 calculator trajectory proof | `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder` and `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` passed | ## Decisions & Architectural Notes +- **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` as the `Module::forward` return type. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.forward(input).await?.answer`. The `call` vs `forward` naming distinction is eliminated. Former locked decision "call_with_meta folded into call" is superseded. Full revision brief: `docs/specs/modules/calling_convention_revision.md`. +- **Phase 4.5-lite completion (2026-02-10):** Exit gates passed. `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test` are green after C1/C5/C6 execution. +- **C1 implementation closeout (2026-02-10):** `Module::Input`/`Output` bounds now require `BamlType + for<'a> Facet<'a> + Send + Sync`, and combinator output bounds were tightened to match. +- **Facet safety correction (2026-02-10):** Replaced unsound shape aliasing on legacy `Example`/`Prediction` with derive-based Facet metadata so layout/type metadata stays truthful while data-heavy fields remain skipped/opaque. +- **C5 implementation closeout (2026-02-10):** Signature derive now emits clean helper names (`{Name}Input`, `{Name}Output`, `{Name}All`) and constructor helpers so users do not initialize phantom fields in literals. +- **C6 implementation closeout (2026-02-10):** `ChainOfThought.predictor`, `ReAct.action`, and `ReAct.extract` are Facet-transparent, while non-parameter ReAct fields remain skipped. Added shape traversal coverage in `crates/dspy-rs/tests/test_module_facet_shapes.rs` (CoT, ReAct, Map nesting). +- **C6 implementation note (2026-02-10):** `Map`/`AndThen` keep explicit `unsafe Facet` impls with skipped `facet::Opaque` closure fields because current derive behavior imposes `F: Facet` for these generic wrappers. +- **Roadmap revision (2026-02-09):** Descoped Phase 4.5 to "4.5-lite" (prerequisites only). C1 (Module bounds), C5 (macro naming), C6 (Facet annotations) are in scope. C3 (optimizer ABI) and C4 (evaluator adapter) reclassified as V5 feature work. C2 (legacy quarantine) replaced by post-V6 kill pass (straight deletion, no intermediate scaffolding). Rationale: building compatibility wrappers for a system about to be replaced is waste. Full C1-C8 arbitration outcomes recorded in `phase_4_5_cleanup_kickoff.md`. +- **C1 arbitration (2026-02-09):** Accept option A (hard tighten now). `Module` bounds go to `BamlType + Facet` without compatibility wrappers. Legacy `Module` impls stay on old types until kill pass. +- **C2 arbitration (2026-02-09):** Skip quarantine entirely. Legacy surfaces frozen in place until kill pass after V5+V6. +- **C3 arbitration (2026-02-09):** Reclassified as V5 scope. Optimizer ABI migration is the V5 slice definition. +- **C4 arbitration (2026-02-09):** Reclassified as V5 scope. Typed evaluator surface replaces legacy `Evaluator` trait. +- **C5 arbitration (2026-02-09):** Accept option B (redesign). Fix macro naming (`QAOutput` not `__QAOutput`) and phantom construction ergonomics. +- **C6 arbitration (2026-02-09):** Accept option B (full matrix). Fix `#[facet(opaque)]` on predictor fields; add walker traversal shape tests. +- **C7 arbitration (2026-02-09):** Accept option A (defer to V5). Error-path contract tests land when the walker exists. +- **C8 arbitration (2026-02-09):** Accept option B (lock strategy). Annotation-first with optional trace inference. Recorded for V6 planning. - **State normalization (2026-02-09):** Tracker advanced from stale `Slice 3 / Done` to `Slice 4 / Research` per closure-audit transition rule (slice < 4 advances to next slice research). +- **ReAct DSPy parity arbitration (2026-02-09):** Removed separate trajectory call API from `ReAct` to keep the single `CallOutcome` call surface aligned with `F4` and DSPy reference behavior (`forward` returns prediction while trajectory is part of returned data). Trajectory is now emitted through existing call metadata (`tool_executions`) and printed in smoke/tests without introducing another call path. +- **ReAct calculator smoke proof (2026-02-09):** Updated `93-smoke-slice4-react-operational` to exercise multi-tool calculator flow (`add` → `multiply` → `add` → `finish`) and print step-by-step trajectory from metadata; real-model smoke on `openai:gpt-5.2` passed with `tool_calls: 3`, `tool_executions: 5`, `answer: 70`. - **Slice 4 research arbitration (2026-02-09):** Reclassified `U48` from `[EXISTS]` to `[MODIFY]` in `slice_4_research.md`; batching semantics are present, but API shape currently requires `display_progress` and does not match breadboard’s 3-arg `forward_all(&module, inputs, concurrency)`. - **Slice 4 plan review (2026-02-09):** Accepted high-level sequencing (U48 surface alignment → U51 combinators → U14 ReAct + tests), but flagged two areas for refinery against code/spec: (1) exact Facet strategy for closure-bearing wrappers (`Map`/`AndThen`), and (2) concrete plain-function tool adapter surface for ReAct builder. - **Slice 4 refinery arbitration (2026-02-09):** Resolved `and_then` metadata ambiguity by locking `ModuleExt::and_then` to a fallible transform signature `Fn(Output) -> Result` that preserves inner call metadata; removed stale `NEEDS ARBITRATION` marker from `slice_4.md`. @@ -106,3 +129,5 @@ - `Post-Implementation Cleanup` remaining scope: strict typed `Module` bounds, generic-helper/`__phantom` ergonomics, and Option-C legacy-surface cutover (`MetaSignature`/`LegacyPredict`) are still large migrations with broad compatibility impact. - `V5 Implement`: complete walker discoverability for wrapper/combinator module trees as the canonical replacement for legacy `Optimizable` traversal. +- Untyped `Example`/`Prediction` example policy and evaluator/feedback migration boundary are clarified in the kickoff doc; execution remains open under C2/C3/C4 gates. +- Decision matrix and sequencing for cleanup kickoff are now centralized in `docs/plans/modules/phase_4_5_cleanup_kickoff.md`. diff --git a/docs/specs/modules/calling_convention_revision.md b/docs/specs/modules/calling_convention_revision.md new file mode 100644 index 00000000..c0fee0ae --- /dev/null +++ b/docs/specs/modules/calling_convention_revision.md @@ -0,0 +1,555 @@ +# Calling Convention Revision: `CallOutcome` -> `Result, PredictError>` + +Date: 2026-02-09 +Status: Approved, pending spec updates +Scope: Spec-only changes across `breadboard.md`, `design_reference.md`, `shapes.md` + +--- + +## Context: How DSPy (Python) Works + +DSPy is the reference implementation we're porting to Rust. In DSPy, every module +call returns a `Prediction` object. This is the single, universal return type. + +### DSPy's `Prediction` + +`Prediction` inherits from `Example` (a dict-like container). It carries: +- **Output fields** via attribute access: `result.answer`, `result.reasoning` +- **Metadata** as methods/properties: `result.get_lm_usage()`, `result.completions` +- **Extra module-specific fields**: `result.trajectory` (for ReAct) + +There is no `Result` wrapper. Errors are Python exceptions. + +### DSPy user experience + +```python +# P1: Simple call +result = predict(question="What is 2+2?") +print(result.answer) # direct field access +print(result.get_lm_usage()) # metadata on same object + +# P1: Chain of thought +result = cot(question="What is 2+2?") +print(result.reasoning) # augmented field +print(result.answer) # original field (via dict) + +# P1: ReAct +result = react(question="Who won the 2024 election?") +print(result.answer) # output field +print(result.trajectory) # trajectory metadata (dict of steps) + +# P2: Module authoring +class HopModule(dspy.Module): + def __init__(self): + self.predict1 = dspy.Predict("question -> query") + self.predict2 = dspy.Predict("query -> answer") + + def forward(self, question): + query = self.predict1(question=question).query + return self.predict2(query=query) +``` + +Key observations: +1. Output and metadata travel together on one object. +2. Field access is direct — no unwrapping, no `.into_result()`. +3. `__call__` wraps `forward` and adds token tracking. No return type difference. +4. Module composition just chains `.forward()` calls. The return value from one + module feeds naturally into the next. + +--- + +## Our Current Design (What We Have) + +### `CallOutcome` + +Defined in `crates/dspy-rs/src/core/call_outcome.rs`: + +```rust +pub struct CallOutcome { + metadata: CallMetadata, + result: Result, +} +``` + +`CallOutcome` wraps BOTH the success/failure result AND metadata in one struct. +The Module trait returns it directly: + +```rust +pub trait Module: Send + Sync { + type Input: Send + Sync + 'static; + type Output: Send + Sync + 'static; + async fn forward(&self, input: Self::Input) -> CallOutcome; +} +``` + +### The ergonomics problem + +To access the output, users must unwrap the Result inside CallOutcome: + +```rust +// Current P1 code — ugly +let output = predict.call(input).await.into_result()?; +println!("{}", output.answer); + +// Or with explicit parts destructuring +let (result, metadata) = outcome.into_parts(); +let output = result.map_err(|e| /* ... */)?; +``` + +The `?` operator does not work directly on `CallOutcome` because it's not a `Result`. +There's a nightly `Try` trait impl behind `#[cfg(feature = "nightly-try")]`, but +`try_trait_v2` has been unstable since 2021 with no stabilization timeline. + +### How this violates Place separation + +The breadboard defines four Places (P1-P4) with strict dependency direction. +P1 (User Code) should never need to understand metadata, adapter internals, or +optimizer concerns. + +But `CallOutcome` forces every P1 user to interact with a metadata-carrying wrapper +type just to get their output. The `.into_result()?` ceremony exists because the +return type was designed for P2/P3's metadata needs, not P1's "call and get result" +needs. + +In DSPy, metadata is available on the Prediction but never gets in the way — you +access `result.answer` directly without unwrapping anything. The metadata is there +if you want it, invisible if you don't. + +--- + +## The New Design (What To Change To) + +### `Predicted` — the success type + +```rust +/// The successful result of a module call. +/// Carries the typed output alongside call metadata. +/// Deref to O for direct field access — like DSPy's Prediction. +pub struct Predicted { + output: O, + metadata: CallMetadata, +} + +impl Deref for Predicted { + type Target = O; + fn deref(&self) -> &O { &self.output } +} + +impl Predicted { + pub fn new(output: O, metadata: CallMetadata) -> Self { + Self { output, metadata } + } + + pub fn metadata(&self) -> &CallMetadata { &self.metadata } + + pub fn into_inner(self) -> O { self.output } + + pub fn into_parts(self) -> (O, CallMetadata) { + (self.output, self.metadata) + } +} +``` + +### The Module trait + +```rust +pub trait Module: Send + Sync { + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; + + async fn forward(&self, input: Self::Input) -> Result, PredictError>; +} +``` + +### `PredictError` — the error type + +`PredictError` already exists and already carries error-path metadata (raw_response, +lm_usage on parse failures). No changes needed to the error type. + +### Why this is better + +| Concern | `CallOutcome` (old) | `Result, PredictError>` (new) | +|---|---|---| +| P1 field access | `outcome.into_result()?.answer` | `result?.answer` (via Deref) | +| `?` on stable Rust | Doesn't work | Works (it's a `Result`) | +| Metadata on success | `outcome.metadata()` before unwrap | `result.metadata()` after `?`-less bind | +| Metadata on error | `outcome.into_parts()` then match | In `PredictError` variants | +| DSPy parity | No equivalent | `Predicted` ≈ `Prediction` | +| Nightly dependency | Needs `try_trait_v2` for ergonomics | None | + +### User experience after the change + +```rust +// P1: Simple call — ? just works +let result = predict.forward(input).await?; +println!("{}", result.answer); // Deref to QAOutput +println!("{:?}", result.metadata().lm_usage); // metadata if you want it + +// P1: Chain of thought +let result = cot.forward(input).await?; +println!("{}", result.reasoning); // Deref to WithReasoning +println!("{}", result.answer); // Deref chain through WithReasoning -> QAOutput + +// P1: Batching +let results = forward_all(&module, inputs, 5).await; +for result in results { + match result { + Ok(output) => println!("{}", output.answer), + Err(err) => eprintln!("failed: {err}"), + } +} +``` + +```rust +// P2: Module authoring — ChainOfThought (simple delegation) +impl Module for ChainOfThought { + type Input = S::Input; + type Output = WithReasoning; + + async fn forward(&self, input: S::Input) -> Result, PredictError> { + self.predictor.forward(input).await + } +} + +// P2: Module authoring — ReAct (needs sub-call metadata) +impl Module for ReAct { + type Input = S::Input; + type Output = S::Output; + + async fn forward(&self, input: S::Input) -> Result, PredictError> { + let mut merged_metadata = CallMetadata::default(); + + for step in 0..self.max_steps { + let action = self.action.forward(action_input).await?; + // action is Predicted + // action.thought via Deref — direct field access + // action.metadata() for token tracking + merged_metadata.merge(action.metadata()); + + if is_terminal(&action.action) { break; } + let observation = self.execute_tool(&action.action, &action.action_input).await; + trajectory.push_str(&format_step(step, &action, &observation)); + } + + let extract = self.extract.forward(extract_input).await?; + merged_metadata.merge(extract.metadata()); + + Ok(Predicted::new(extract.into_inner().output, merged_metadata)) + } +} + +// P2: Module authoring — BestOfN (wraps any Module) +impl Module for BestOfN where M::Input: Clone { + type Input = M::Input; + type Output = M::Output; + + async fn forward(&self, input: M::Input) -> Result, PredictError> { + let mut best: Option> = None; + let mut best_score = f64::NEG_INFINITY; + + for _ in 0..self.n { + let result = self.module.forward(input.clone()).await?; + let score = (self.reward_fn)(&input, &result); // Deref to M::Output + if score >= self.threshold { + return Ok(result); + } + if score > best_score { + best_score = score; + best = Some(result); + } + } + + Err(PredictError::AllAttemptsFailed) + } +} +``` + +```rust +// P2: Module combinators +impl Module for Map where M: Module, F: Fn(M::Output) -> T { + type Input = M::Input; + type Output = T; + + async fn forward(&self, input: Self::Input) -> Result, PredictError> { + let result = self.inner.forward(input).await?; + let (output, metadata) = result.into_parts(); + Ok(Predicted::new((self.map)(output), metadata)) + } +} +``` + +```rust +// P3: Optimizer interface (V5 — DynPredictor) +pub trait DynPredictor: Send + Sync { + fn schema(&self) -> &SignatureSchema; + fn instruction(&self) -> String; + fn set_instruction(&mut self, instruction: String); + fn demos_as_examples(&self) -> Vec; + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; + fn dump_state(&self) -> PredictState; + fn load_state(&mut self, state: PredictState) -> Result<()>; + async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError>; +} +``` + +### What `call` vs `forward` means after this change + +There is no meaningful distinction. `forward` is the Module trait method. Concrete +types may also expose `forward` directly (they already do, via the trait). There is +no separate `call` method with a different return type. + +If a concrete type wants to expose extra functionality beyond what Module provides +(e.g., ReAct exposing trajectory details), it does so through its Output type or +through additional methods — not through a different calling convention. + +The locked decision "call_with_meta is folded into call" is superseded. There is no +`call` vs `call_with_meta` distinction because metadata always travels with the +output inside `Predicted`. The method is `forward`. That's it. + +### What gets deleted + +- `CallOutcome` struct +- `CallOutcomeError` struct +- `CallOutcomeErrorKind` enum (may be partially absorbed into `PredictError`) +- `into_result()`, `into_parts()`, `try_into_result()` methods on CallOutcome +- The nightly `Try` / `FromResidual` impls +- `Deref>` impl on CallOutcome +- All references to `CallOutcome` in specs, plans, and tracker + +--- + +## Spec Files to Update + +### File 1: `docs/specs/modules/breadboard.md` + +**Location: Line 51** — Batching resolved gap text. +References `Vec>` in the `forward_all` description. +Change to `Vec, PredictError>>`. + +**Location: Line 58** — "CallOutcome undecided" resolved gap. +Full rewrite. Currently reads: +> N8 returns `CallOutcome` by default (single calling convention). `call_with_meta` +> is folded into `call`. No parallel convenience API (`forward_result`, etc.). +> Metadata and result travel together. + +Replace with: +> N8 returns `Result, PredictError>`. `Predicted` carries output + +> call metadata (like DSPy's `Prediction`), with `Deref` for direct field +> access and `.metadata()` for call metadata. `?` works on stable Rust — no nightly +> `Try` trait needed. There is no `call` vs `forward` distinction; `Module::forward` +> is the single calling convention. + +**Location: Line 84** — U10 affordance row. +Change `CallOutcome` to `Predicted` and update the description +text from "single return surface; carries Result + metadata" to "output + metadata +wrapper; Deref to Output for field access". + +**Location: Line 90** — U48 affordance row. +Change `Vec>` to `Vec, PredictError>>`. +Change `→ Vec\` in the Returns To column. + +**Location: Line 92** — U51 affordance row. +If it references `CallOutcome`, update. Verify the combinator description doesn't +assume `CallOutcome` return semantics. + +**Location: Line 137** — N8 code affordance row. +Change "Returns `CallOutcome`" to "Returns `Result, PredictError>`" +in the affordance description. + +**Location: Line 191** — P1 wiring narrative. +Change `→ U10 (CallOutcome)` to `→ U10 (Result, PredictError>)`. + +**Location: Line 192** — P1 wiring narrative, error line. +Change `→ on error: U49 (PredictError with raw response + stage)` — this stays mostly +the same, but verify the wiring makes sense with `Result`'s `Err` path. + +**Location: Line 197** — Batching wiring narrative. +Change `→ Vec>` to `→ Vec, PredictError>>`. + +**Location: Line 342** — V1 slice detail table. +Change `forward(), CallOutcome, field access` to `forward(), Predicted, field access`. + +**Location: ~Line 360** — V1 demo program code block. +Currently uses `?` which is correct. Verify it reads naturally: +```rust +let result = predict.forward(QAInput { question: "What is 2+2?".into() }).await?; +println!("{}", result.answer); // typed field access via Deref +``` + +**Location: Line 403** — V3 demo program Module impl. +Already returns `Result`. Update to +`Result, PredictError>`. + +### File 2: `docs/specs/modules/design_reference.md` + +**Location: Section 5 (line ~362-398)** — Module trait definition + explanation. + +Replace the trait definition: +```rust +// Old +async fn forward(&self, input: Self::Input) -> CallOutcome; + +// New +async fn forward(&self, input: Self::Input) -> Result, PredictError>; +``` + +Replace the `CallOutcome` explanation paragraph (line 371) entirely. This currently +reads: +> `CallOutcome` is the default return surface for N8. It carries both outcome +> (`Result`) and call metadata (raw response, usage, tool calls, +> field parse metadata). There is no separate convenience API (for example +> `forward_result()`); ergonomics come from trait impls on `CallOutcome` itself +> (`Try` when available on toolchain, otherwise at least +> `Deref>` + `into_result()`). + +Replace with an explanation of `Predicted`: +> `Module::forward` returns `Result, PredictError>`. `Predicted` +> carries the typed output alongside call metadata (raw response, usage, tool calls, +> field parse metadata). It implements `Deref` so output fields are +> accessible directly: `result.answer`, `result.reasoning`. Metadata is available +> via `result.metadata()`. This mirrors DSPy's `Prediction` object where output +> fields and metadata coexist on the same value. `?` works on stable Rust because +> the outer type is `Result`. + +Add the `Predicted` struct definition, Deref impl, and key methods as a new code +block in this section (see "The New Design" section above for the definition). + +**Location: Section 6 (~lines 440-480)** — Predict::call pipeline code sketch. + +Update the code sketch. Key changes: +- Method signature: `pub async fn call(&self, input: S::Input) -> Result, PredictError>` + (Note: in the new design, `call` is just an alias or doesn't exist separately — + Predict implements Module::forward. The code sketch should show `forward` or note + that `call` delegates to the same logic.) +- Error returns: change `CallOutcome::from_error(PredictError::Lm { ... })` to + `return Err(PredictError::Lm { ... })` +- Success return: change `CallOutcome::from_parts(output, ...)` to + `Ok(Predicted::new(typed_output, CallMetadata::new(...)))` + +**Location: Section 9 (~line 699)** — DynPredictor trait definition. + +Change: +```rust +async fn forward_untyped(&self, input: BamlValue) -> CallOutcome; +``` +To: +```rust +async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError>; +``` + +**Location: Section 9 (~lines 728-735)** — DynPredictor impl code sketch. + +Update the `forward_untyped` implementation: +- Error: `return Err(PredictError::Conversion { ... })` instead of + `CallOutcome::from_error(...)` +- Success: `Ok(Predicted::new(output.to_baml_value(), metadata))` instead of + the `CallOutcome` map/into_result chain + +**Location: Section 12 (~line 881)** — ChainOfThought forward signature. + +Change: +```rust +async fn forward(&self, input: S::Input) -> CallOutcome> { + self.predict.call(input).await +} +``` +To: +```rust +async fn forward(&self, input: S::Input) -> Result>, PredictError> { + self.predict.forward(input).await +} +``` + +**Location: Section 12 (~lines 905-914)** — BestOfN forward signature and body. + +Change: +```rust +async fn forward(&self, input: M::Input) -> CallOutcome { + // ... + if score >= self.threshold { return CallOutcome::ok(output); } + // ... + CallOutcome::from_error(PredictError::AllAttemptsFailed) +} +``` +To: +```rust +async fn forward(&self, input: M::Input) -> Result, PredictError> { + // ... + if score >= self.threshold { return Ok(result); } + // ... + Err(PredictError::AllAttemptsFailed) +} +``` + +**Location: Section 10 (~line 761)** — DynModule::forward. +Already returns `Result`. Update to `Result, PredictError>` +for consistency, or leave as-is if the dynamic path intentionally strips metadata. +Decision: update for consistency. + +### File 3: `docs/specs/modules/shapes.md` + +**Location: Line 60** — F4 Module trait part description. + +Currently reads: +> `trait Module { type Input; type Output; async fn forward(&self, input) -> CallOutcome }`. +> `CallOutcome` is the single return surface (result + metadata), with trait-based +> ergonomics for `?`-style consumption so there is no parallel convenience API. + +Replace with: +> `trait Module { type Input; type Output; async fn forward(&self, input) -> Result, PredictError> }`. +> `Predicted` carries output + metadata with `Deref` for direct field +> access. `?` works on stable Rust. Mirrors DSPy's `Prediction` return convention. + +--- + +## Plan Files to Update + +### `docs/plans/modules/phase_4_5_cleanup_kickoff.md` + +**Location: Locked Decisions section, item 2.** +Currently reads: +> **Single call surface**: `CallOutcome` is the default call contract; no parallel +> convenience call path. + +Replace with: +> **Single call surface**: `Module::forward` returns `Result, PredictError>`. +> `Predicted` carries output + metadata. No `call` vs `forward` distinction. + +### `docs/plans/modules/tracker.md` + +Add a decision entry in the Decisions & Architectural Notes section: +> **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with +> `Result, PredictError>` as the Module::forward return type. +> `Predicted` implements `Deref` for direct field access and carries +> `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required +> `.into_result()?` on stable Rust, violating P1 ergonomics goals. The nightly `Try` +> trait (`try_trait_v2`) has no stabilization timeline. `Predicted` + `Result` +> gives DSPy-parity ergonomics on stable: `module.forward(input).await?.answer`. +> The `call` vs `forward` naming distinction is eliminated — `forward` is the single +> method. Former locked decision "call_with_meta folded into call" is superseded. + +--- + +## Files NOT to Change + +- **Spike docs** (`spikes/S1-S8`): Historical findings. Do not retroactively edit. +- **DSPy module system reference** (`dspy_module_system_reference/`): Reference docs + about the Python DSPy system. Not our design specs. +- **Plan docs** other than kickoff and tracker: Historical records of slice execution. +- **Code files**: This revision is spec-only. Code changes happen during implementation. + +--- + +## Validation After Spec Updates + +After all spec changes are made, verify: + +1. **No orphan `CallOutcome` references** in breadboard.md, design_reference.md, or + shapes.md. Grep for `CallOutcome` — should return zero hits in these three files. +2. **`Predicted` is defined** in design_reference.md Section 5 with struct + definition, Deref impl, and key methods. +3. **All code sketches compile conceptually** — return types match, error handling + uses `?` and `Err(...)`, success uses `Ok(Predicted::new(...))`. +4. **Demo programs use `?`** — V1-V6 demo code blocks show the clean P1 experience. +5. **No "call_with_meta" or "into_result" references** remain in the spec files. +6. **F4 description** in shapes.md matches the trait in design_reference.md. diff --git a/docs/specs/modules/spikes/S1-generic-signature-derive.md b/docs/specs/modules/spikes/S1-generic-signature-derive.md index ae932448..b47a291e 100644 --- a/docs/specs/modules/spikes/S1-generic-signature-derive.md +++ b/docs/specs/modules/spikes/S1-generic-signature-derive.md @@ -1,5 +1,16 @@ # S1 Spike: Generic `#[derive(Signature)]` with `#[flatten]` +> Status Update (2026-02-09): +> This spike captures pre-implementation gap analysis. +> S1 architectural direction is now locked and executed as Option C (full replacement direction) in slices 1-4. +> +> Current source of truth for implementation status and remaining cleanup: +> - `docs/plans/modules/slices_closure_audit.md` +> - `docs/plans/modules/tracker.md` +> - `docs/plans/modules/phase_4_5_cleanup_kickoff.md` +> +> Remaining work is cleanup hardening (typed bounds tightening, F12 helper contract hardening, legacy compatibility cutover), not reopening S1 direction. + ## Context S1 is explicitly called out as a high-priority spike in shaping/design docs: generic `Signature` derive with `#[flatten]` is required for F12 and module authoring (`docs/specs/modules/shapes.md:140`, `docs/specs/modules/design_reference.md:117`, `docs/specs/modules/design_reference.md:1006`). From 4c50f5a1200df941f8f6431a3394cf710f11eea1 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 16:27:59 -0800 Subject: [PATCH 10/22] api: replace CallOutcome with Predicted and make Module call-first with forward hook --- crates/dspy-rs/Cargo.toml | 1 - crates/dspy-rs/examples/01-simple.rs | 53 ++--- .../02-module-iteration-and-updation.rs | 28 +-- .../dspy-rs/examples/03-evaluate-hotpotqa.rs | 18 +- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 19 +- .../examples/06-other-providers-batch.rs | 34 ++- crates/dspy-rs/examples/07-inspect-history.rs | 20 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 21 +- crates/dspy-rs/examples/09-gepa-sentiment.rs | 15 +- crates/dspy-rs/examples/10-gepa-llm-judge.rs | 16 +- crates/dspy-rs/examples/12-tracing.rs | 38 +-- .../examples/90-smoke-slice1-typed-predict.rs | 13 +- .../91-smoke-slice2-chain-of-thought.rs | 13 +- .../92-smoke-slice3-module-authoring.rs | 15 +- .../93-smoke-slice4-react-operational.rs | 13 +- crates/dspy-rs/src/adapter/chat.rs | 16 +- crates/dspy-rs/src/core/call_outcome.rs | 225 ------------------ crates/dspy-rs/src/core/call_result.rs | 148 ------------ crates/dspy-rs/src/core/mod.rs | 8 +- crates/dspy-rs/src/core/module.rs | 16 +- crates/dspy-rs/src/core/module_ext.rs | 30 +-- crates/dspy-rs/src/core/predicted.rs | 128 ++++++++++ crates/dspy-rs/src/evaluate/evaluator.rs | 4 +- .../dspy-rs/src/modules/chain_of_thought.rs | 25 +- crates/dspy-rs/src/modules/react.rs | 36 ++- crates/dspy-rs/src/optimizer/gepa.rs | 12 +- crates/dspy-rs/src/optimizer/mipro.rs | 4 +- crates/dspy-rs/src/predictors/predict.rs | 74 +++--- crates/dspy-rs/tests/test_call_outcome.rs | 62 +++-- .../tests/test_chain_of_thought_swap.rs | 3 +- .../dspy-rs/tests/test_chat_adapter_schema.rs | 10 +- crates/dspy-rs/tests/test_module_ext.rs | 70 +++--- .../dspy-rs/tests/test_module_forward_all.rs | 10 +- crates/dspy-rs/tests/test_react_builder.rs | 13 +- crates/dspy-rs/tests/typed_integration.rs | 34 +-- .../modules/phase_4_5_cleanup_kickoff.md | 2 +- docs/plans/modules/tracker.md | 29 ++- docs/specs/modules/breadboard.md | 42 ++-- .../modules/calling_convention_revision.md | 63 +++-- docs/specs/modules/design_reference.md | 92 ++++--- docs/specs/modules/shapes.md | 2 +- 41 files changed, 635 insertions(+), 840 deletions(-) delete mode 100644 crates/dspy-rs/src/core/call_outcome.rs delete mode 100644 crates/dspy-rs/src/core/call_result.rs create mode 100644 crates/dspy-rs/src/core/predicted.rs diff --git a/crates/dspy-rs/Cargo.toml b/crates/dspy-rs/Cargo.toml index 0b8d4438..4774122e 100644 --- a/crates/dspy-rs/Cargo.toml +++ b/crates/dspy-rs/Cargo.toml @@ -49,4 +49,3 @@ ignored = ["rig-core"] [features] default = [] -nightly-try = [] diff --git a/crates/dspy-rs/examples/01-simple.rs b/crates/dspy-rs/examples/01-simple.rs index ab5040b5..799e3956 100644 --- a/crates/dspy-rs/examples/01-simple.rs +++ b/crates/dspy-rs/examples/01-simple.rs @@ -16,8 +16,8 @@ cargo run --example 01-simple use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Demo, Example, LM, LmError, - Module, Predict, Prediction, configure, init_tracing, + CallMetadata, ChatAdapter, Demo, Example, LM, LmError, Module, Predict, PredictError, + Predicted, Prediction, configure, init_tracing, }; const QA_INSTRUCTION: &str = "Answer the question step by step."; @@ -61,47 +61,40 @@ impl Module for QARater { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { // Step 1: Convert module input into typed predictor input. let question = match inputs.data.get("question").and_then(|value| value.as_str()) { Some(question) => question.to_string(), None => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "QARater".to_string(), message: "missing required string field `question`".to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; - let answer_outcome = self + let answer_predicted = self .answerer .call(QAInput { question: question.clone(), }) - .await; - let answer_usage = answer_outcome.metadata().lm_usage.clone(); - let answerer_prediction = match answer_outcome.into_result() { - Ok(output) => output, - Err(err) => return CallOutcome::err(err.kind, err.metadata), - }; + .await?; + let answer_usage = answer_predicted.metadata().lm_usage.clone(); + let answerer_prediction = answer_predicted.into_inner(); // Step 2: Rate the generated answer. - let rate_outcome = self + let rate_predicted = self .rater .call(RateInput { question: question.clone(), answer: answerer_prediction.answer.clone(), }) - .await; - let rate_usage = rate_outcome.metadata().lm_usage.clone(); - let rate_result = match rate_outcome.into_result() { - Ok(output) => output, - Err(err) => return CallOutcome::err(err.kind, err.metadata), - }; + .await?; + let rate_usage = rate_predicted.metadata().lm_usage.clone(); + let rate_result = rate_predicted.into_inner(); // Step 3: Compose the final untyped prediction for module consumers. let mut combined = Prediction { @@ -121,7 +114,7 @@ impl Module for QARater { .data .insert("rating".into(), rate_result.rating.into()); - CallOutcome::ok(combined, CallMetadata::default()) + Ok(Predicted::new(combined, CallMetadata::default())) } } @@ -147,14 +140,14 @@ async fn main() -> Result<()> { question: "What is the capital of France?".to_string(), }; - // call() returns the typed output struct - let output = predict.call(input.clone()).await.into_result()?; + // forward() returns Predicted; access the typed output directly. + let output = predict.call(input.clone()).await?.into_inner(); println!("Question: {}", input.question); println!("Reasoning: {}", output.reasoning); println!("Answer: {}", output.answer); - // CallOutcome carries both typed output and metadata. - let result = predict.call(input).await; + // Predicted carries both typed output and metadata. + let result = predict.call(input).await?; println!("\nWith metadata:"); println!(" Raw 'answer' field: {:?}", result.metadata().field_raw("answer")); println!(" Token usage: {:?}", result.metadata().lm_usage); @@ -172,7 +165,7 @@ async fn main() -> Result<()> { .data .insert("question".into(), "Why is the sky blue?".into()); - let prediction = qa_rater.forward(example).await.into_result()?; + let prediction = qa_rater.call(example).await?.into_inner(); println!("Composed pipeline result:"); println!(" Question: {}", prediction.data.get("question").unwrap()); println!(" Reasoning: {}", prediction.data.get("reasoning").unwrap()); @@ -212,8 +205,8 @@ async fn main() -> Result<()> { .call(QAInput { question: demo_question.clone(), }) - .await - .into_result()?; + .await? + .into_inner(); println!("With few-shot demos:"); println!(" Question: {}", demo_question); diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index 0a4ab725..4eee0d38 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -11,8 +11,8 @@ cargo run --example 02-module-iteration-and-updation use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, Example, LegacyPredict, LegacySignature, - LmError, Module, Optimizable, Prediction, Predictor, hashmap, init_tracing, prediction, + CallMetadata, Example, LegacyPredict, LegacySignature, LmError, Module, Optimizable, + PredictError, Predicted, Prediction, Predictor, hashmap, init_tracing, prediction, }; #[LegacySignature(cot)] @@ -68,18 +68,17 @@ impl Module for QARater { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { let answerer_prediction = match self.answerer.forward(inputs.clone()).await { Ok(prediction) => prediction, Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; @@ -97,17 +96,16 @@ impl Module for QARater { let rating_prediction = match self.rater.forward(inputs).await { Ok(prediction) => prediction, Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; - CallOutcome::ok( + Ok(Predicted::new( prediction! { "answer"=> answer, "question"=> question, @@ -115,7 +113,7 @@ impl Module for QARater { } .set_lm_usage(rating_prediction.lm_usage), CallMetadata::default(), - ) + )) } } diff --git a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs index 8634914c..d97cd13c 100644 --- a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs +++ b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs @@ -11,9 +11,8 @@ Note: The `dataloaders` feature is required for loading datasets. use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Evaluator, Example, LM, - LegacyPredict, LegacySignature, LmError, Module, Optimizable, Prediction, Predictor, configure, - init_tracing, + CallMetadata, ChatAdapter, Evaluator, Example, LM, LegacyPredict, LegacySignature, LmError, + Module, Optimizable, PredictError, Predicted, Prediction, Predictor, configure, init_tracing, }; use dspy_rs::DataLoader; @@ -40,17 +39,16 @@ impl Module for QARater { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { match self.answerer.forward(inputs).await { - Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), - Err(err) => CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), + Err(err) => Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ), + }, + }), } } } diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index c5eafc17..b9855921 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -11,9 +11,9 @@ Note: The `dataloaders` feature is required for loading datasets. use bon::Builder; use dspy_rs::{ - COPRO, CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, DataLoader, Evaluator, - Example, LM, LegacyPredict, LegacySignature, LmError, Module, Optimizable, Optimizer, - Prediction, Predictor, configure, init_tracing, + COPRO, CallMetadata, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, + LegacySignature, LmError, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, + Predictor, configure, init_tracing, }; #[LegacySignature(cot)] @@ -38,17 +38,16 @@ impl Module for QARater { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { match self.answerer.forward(inputs).await { - Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), - Err(err) => CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), + Err(err) => Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ), + }, + }), } } } diff --git a/crates/dspy-rs/examples/06-other-providers-batch.rs b/crates/dspy-rs/examples/06-other-providers-batch.rs index 8e34e03b..cda47689 100644 --- a/crates/dspy-rs/examples/06-other-providers-batch.rs +++ b/crates/dspy-rs/examples/06-other-providers-batch.rs @@ -12,9 +12,9 @@ cargo run --example 01-simple use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Example, LM, LegacyPredict, - LegacySignature, LmError, Module, Prediction, Predictor, configure, example, forward_all, - hashmap, init_tracing, prediction, + CallMetadata, ChatAdapter, Example, LM, LegacyPredict, LegacySignature, LmError, Module, + PredictError, Predicted, Prediction, Predictor, configure, example, forward_all, hashmap, + init_tracing, prediction, }; #[LegacySignature(cot)] @@ -52,18 +52,17 @@ impl Module for QARater { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { let answerer_prediction = match self.answerer.forward(inputs.clone()).await { Ok(prediction) => prediction, Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; @@ -82,19 +81,18 @@ impl Module for QARater { let rating_prediction = match self.rater.forward(inputs).await { Ok(prediction) => prediction, Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; let rating_lm_usage = rating_prediction.lm_usage; - CallOutcome::ok( + Ok(Predicted::new( prediction! { "answer"=> answer, "question"=> question, @@ -102,7 +100,7 @@ impl Module for QARater { } .set_lm_usage(answer_lm_usage + rating_lm_usage), CallMetadata::default(), - ) + )) } } @@ -136,7 +134,7 @@ async fn main() { let prediction = forward_all(&qa_rater, example.clone(), 2) .await .into_iter() - .map(|outcome| outcome.into_result()) + .map(|outcome| outcome.map(|predicted| predicted.into_inner())) .collect::, _>>() .unwrap(); println!("Anthropic: {prediction:?}"); @@ -154,7 +152,7 @@ async fn main() { let prediction = forward_all(&qa_rater, example, 2) .await .into_iter() - .map(|outcome| outcome.into_result()) + .map(|outcome| outcome.map(|predicted| predicted.into_inner())) .collect::, _>>() .unwrap(); println!("Gemini: {prediction:?}"); diff --git a/crates/dspy-rs/examples/07-inspect-history.rs b/crates/dspy-rs/examples/07-inspect-history.rs index 410e83ac..7c8b05aa 100644 --- a/crates/dspy-rs/examples/07-inspect-history.rs +++ b/crates/dspy-rs/examples/07-inspect-history.rs @@ -11,9 +11,8 @@ cargo run --example 07-inspect-history use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Example, LM, LegacyPredict, - LegacySignature, LmError, Module, Prediction, Predictor, configure, example, get_lm, - init_tracing, + CallMetadata, ChatAdapter, Example, LM, LegacyPredict, LegacySignature, LmError, Module, + PredictError, Predicted, Prediction, Predictor, configure, example, get_lm, init_tracing, }; #[LegacySignature] @@ -34,17 +33,16 @@ impl Module for QARater { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { match self.answerer.forward(inputs).await { - Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), - Err(err) => CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), + Err(err) => Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ), + }, + }), } } } @@ -65,7 +63,7 @@ async fn main() { }; let qa_rater = QARater::builder().build(); - let prediction = qa_rater.forward(example.clone()).await.into_result().unwrap(); + let prediction = qa_rater.call(example.clone()).await.unwrap().into_inner(); println!("Prediction: {prediction:?}"); let history = get_lm().inspect_history(1).await; diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index 32a51117..ffd6f628 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -22,9 +22,9 @@ Note: The `dataloaders` feature is required for loading datasets. use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, DataLoader, Evaluator, Example, - LM, LegacyPredict, LegacySignature, LmError, MIPROv2, Module, Optimizable, Optimizer, - Prediction, Predictor, configure, example, init_tracing, + CallMetadata, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, LegacySignature, + LmError, MIPROv2, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, + Predictor, configure, example, init_tracing, }; #[LegacySignature] @@ -49,17 +49,16 @@ impl Module for SimpleQA { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { match self.answerer.forward(inputs).await { - Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), - Err(err) => CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), + Err(err) => Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ), + }, + }), } } } @@ -182,7 +181,7 @@ async fn main() -> Result<()> { "question": "input" => "What is the capital of France?", }; - let result = qa_module.forward(test_example).await.into_result()?; + let result = qa_module.call(test_example).await?.into_inner(); println!("Question: What is the capital of France?"); println!("Answer: {}", result.get("answer", None)); diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index a0052c64..35480a05 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -40,17 +40,16 @@ impl Module for SentimentAnalyzer { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { match self.predictor.forward(inputs).await { - Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), - Err(err) => CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), + Err(err) => Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ), + }, + }), } } } @@ -234,7 +233,7 @@ async fn main() -> Result<()> { "expected_sentiment": "input" => "positive" }; - let test_prediction = module.forward(test_example.clone()).await.into_result()?; + let test_prediction = module.call(test_example.clone()).await?.into_inner(); let test_feedback = module .feedback_metric(&test_example, &test_prediction) .await; diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index 23c3d13d..b8104366 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -81,18 +81,17 @@ impl Module for MathSolver { type Input = Example; type Output = Prediction; - async fn forward(&self, inputs: Example) -> CallOutcome { + async fn forward(&self, inputs: Example) -> Result, PredictError> { // Just forward to the solver - judge only used during evaluation. match self.solver.forward(inputs).await { - Ok(prediction) => CallOutcome::ok(prediction, CallMetadata::default()), - Err(err) => CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), + Err(err) => Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ), + }, + }), } } } @@ -342,7 +341,8 @@ async fn main() -> Result<()> { let test_prediction = module .forward(test_problem.clone()) .await - .into_result()?; + ? + .into_inner(); let test_feedback = module .feedback_metric(&test_problem, &test_prediction) .await; diff --git a/crates/dspy-rs/examples/12-tracing.rs b/crates/dspy-rs/examples/12-tracing.rs index fea05248..b1ef5e8f 100644 --- a/crates/dspy-rs/examples/12-tracing.rs +++ b/crates/dspy-rs/examples/12-tracing.rs @@ -3,9 +3,8 @@ use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, LM, LegacyPredict, - LegacySignature, LmError, Module, Prediction, Predictor, configure, example, init_tracing, - prediction, + CallMetadata, ChatAdapter, LM, LegacyPredict, LegacySignature, LmError, Module, PredictError, + Predicted, Prediction, Predictor, configure, example, init_tracing, prediction, trace::{self, IntoTracked}, }; @@ -39,18 +38,20 @@ impl Module for QARater { type Input = dspy_rs::Example; type Output = Prediction; - async fn forward(&self, inputs: dspy_rs::Example) -> CallOutcome { + async fn forward( + &self, + inputs: dspy_rs::Example, + ) -> Result, PredictError> { let answerer_prediction = match self.answerer.forward(inputs.clone()).await { Ok(prediction) => prediction, Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; @@ -68,19 +69,18 @@ impl Module for QARater { let rating_prediction = match self.rater.forward(inputs).await { Ok(prediction) => prediction, Err(err) => { - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "legacy_predict".to_string(), message: err.to_string(), source: None, - }), - CallMetadata::default(), - ); + }, + }); } }; // Final output - CallOutcome::ok( + Ok(Predicted::new( prediction! { "answer"=> answer.value, "question"=> question.value, @@ -88,7 +88,7 @@ impl Module for QARater { } .set_lm_usage(rating_prediction.lm_usage), CallMetadata::default(), - ) + )) } } @@ -112,10 +112,10 @@ async fn main() -> Result<()> { }; println!("Starting trace..."); - let (result, graph) = trace::trace(|| async { module.forward(example).await }).await; + let (result, graph) = trace::trace(|| async { module.call(example).await }).await; - match result.into_result() { - Ok(pred) => println!("Prediction keys: {:?}", pred.data.keys()), + match result { + Ok(predicted) => println!("Prediction keys: {:?}", predicted.into_inner().data.keys()), Err(e) => println!("Error (expected if no API key/network): {}", e), } diff --git a/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs b/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs index a9a2e51c..2075cd63 100644 --- a/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs +++ b/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs @@ -1,5 +1,5 @@ use anyhow::{Result, bail}; -use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure}; +use dspy_rs::{ChatAdapter, LM, Predict, PredictError, Signature, configure}; #[derive(Signature, Clone, Debug)] struct SmokeSig { @@ -26,11 +26,14 @@ async fn main() -> Result<()> { prompt: "Reply with exactly: smoke-ok".to_string(), }; - let output = module.call(input).await.into_result().map_err(|err| { - eprintln!("smoke call failed: {}", err.kind); - eprintln!("raw_response: {:?}", err.metadata.raw_response); + let output = module.call(input).await.map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } anyhow::anyhow!("slice1 smoke failed") - })?; + })? + .into_inner(); println!("answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs b/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs index e31721b0..7884da38 100644 --- a/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs +++ b/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs @@ -1,5 +1,5 @@ use anyhow::{Result, bail}; -use dspy_rs::{ChainOfThought, ChatAdapter, LM, Signature, configure}; +use dspy_rs::{ChainOfThought, ChatAdapter, LM, PredictError, Signature, configure}; #[derive(Signature, Clone, Debug)] struct SmokeSig { @@ -26,11 +26,14 @@ async fn main() -> Result<()> { prompt: "Reply with exactly: smoke-ok".to_string(), }; - let output = module.call(input).await.into_result().map_err(|err| { - eprintln!("smoke call failed: {}", err.kind); - eprintln!("raw_response: {:?}", err.metadata.raw_response); + let output = module.call(input).await.map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } anyhow::anyhow!("slice2 smoke failed") - })?; + })? + .into_inner(); println!("reasoning: {}", output.reasoning); println!("answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs b/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs index 57ea1006..803f3e4a 100644 --- a/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs +++ b/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs @@ -1,5 +1,5 @@ use anyhow::{Result, bail}; -use dspy_rs::{CallOutcome, ChatAdapter, LM, Module, Predict, Signature, configure}; +use dspy_rs::{ChatAdapter, LM, Module, Predict, PredictError, Predicted, Signature, configure}; #[derive(Signature, Clone, Debug)] struct SmokeSig { @@ -26,7 +26,7 @@ impl Module for SmokeModule { type Input = ::Input; type Output = ::Output; - async fn forward(&self, input: Self::Input) -> CallOutcome { + async fn forward(&self, input: Self::Input) -> Result, PredictError> { self.inner.call(input).await } } @@ -47,11 +47,14 @@ async fn main() -> Result<()> { prompt: "Reply with exactly: smoke-ok".to_string(), }; - let output = module.forward(input).await.into_result().map_err(|err| { - eprintln!("smoke call failed: {}", err.kind); - eprintln!("raw_response: {:?}", err.metadata.raw_response); + let output = module.call(input).await.map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } anyhow::anyhow!("slice3 smoke failed") - })?; + })? + .into_inner(); println!("answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs b/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs index 3921c748..90c358f7 100644 --- a/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs +++ b/crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs @@ -1,5 +1,5 @@ use anyhow::{Result, bail}; -use dspy_rs::{ChatAdapter, LM, ReAct, Signature, configure, forward_all}; +use dspy_rs::{ChatAdapter, LM, PredictError, ReAct, Signature, configure, forward_all}; use serde_json::Value; #[derive(Signature, Clone, Debug)] @@ -76,13 +76,14 @@ async fn main() -> Result<()> { let mut outcomes = forward_all(&module, vec![input], 1).await.into_iter(); let outcome = outcomes.next().expect("expected one batch outcome"); - let (result, metadata) = outcome.into_parts(); - - let output = result.map_err(|err| { - eprintln!("smoke call failed: {}", err); - eprintln!("raw_response: {:?}", metadata.raw_response); + let predicted = outcome.map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } anyhow::anyhow!("slice4 smoke failed") })?; + let (output, metadata) = predicted.into_parts(); println!("tool_calls: {}", metadata.tool_calls.len()); println!("tool_executions: {}", metadata.tool_executions.len()); diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 490e04c0..824a7a5d 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -16,10 +16,10 @@ use crate::serde_utils::get_iter_from_value; use crate::utils::cache::CacheEntry; use crate::{ BamlType, BamlValue, Cache, Chat, ConstraintLevel, ConstraintResult, Example, FieldMeta, Flag, - JsonishError, LM, Message, MetaSignature, OutputFormatContent, ParseError, Prediction, - RenderOptions, Signature, TypeIR, + JsonishError, LM, Message, MetaSignature, OutputFormatContent, ParseError, PredictError, + Predicted, Prediction, RenderOptions, Signature, TypeIR, }; -use crate::{CallMetadata, CallOutcomeErrorKind}; +use crate::CallMetadata; #[derive(Default, Clone)] pub struct ChatAdapter; @@ -840,11 +840,15 @@ impl ChatAdapter { pub fn parse_response_with_schema( &self, response: Message, - ) -> std::result::Result<(S::Output, CallMetadata), CallOutcomeErrorKind> { + ) -> std::result::Result, PredictError> { let raw_response = response.content(); let (output, field_meta) = self .parse_response_typed::(&response) - .map_err(CallOutcomeErrorKind::Parse)?; + .map_err(|source| PredictError::Parse { + source, + raw_response: raw_response.clone(), + lm_usage: crate::LmUsage::default(), + })?; let metadata = CallMetadata::new( raw_response, crate::LmUsage::default(), @@ -853,7 +857,7 @@ impl ChatAdapter { None, field_meta, ); - Ok((output, metadata)) + Ok(Predicted::new(output, metadata)) } #[tracing::instrument( diff --git a/crates/dspy-rs/src/core/call_outcome.rs b/crates/dspy-rs/src/core/call_outcome.rs deleted file mode 100644 index 40cc3845..00000000 --- a/crates/dspy-rs/src/core/call_outcome.rs +++ /dev/null @@ -1,225 +0,0 @@ -use std::ops::{Deref, DerefMut}; - -use bamltype::baml_types::BamlValue; -use indexmap::IndexMap; -use rig::message::ToolCall; - -use crate::{ConversionError, Flag, LmError, LmUsage, ParseError, PredictError}; - -#[derive(Debug, Clone)] -pub struct FieldMeta { - pub raw_text: String, - pub flags: Vec, - pub checks: Vec, -} - -#[derive(Debug, Clone)] -pub struct ConstraintResult { - pub label: String, - pub expression: String, - pub passed: bool, -} - -#[derive(Debug, Clone)] -pub struct CallMetadata { - pub raw_response: String, - pub lm_usage: LmUsage, - pub tool_calls: Vec, - pub tool_executions: Vec, - pub node_id: Option, - pub field_meta: IndexMap, -} - -impl Default for CallMetadata { - fn default() -> Self { - Self { - raw_response: String::new(), - lm_usage: LmUsage::default(), - tool_calls: Vec::new(), - tool_executions: Vec::new(), - node_id: None, - field_meta: IndexMap::new(), - } - } -} - -impl CallMetadata { - pub fn new( - raw_response: String, - lm_usage: LmUsage, - tool_calls: Vec, - tool_executions: Vec, - node_id: Option, - field_meta: IndexMap, - ) -> Self { - Self { - raw_response, - lm_usage, - tool_calls, - tool_executions, - node_id, - field_meta, - } - } - - pub fn field_meta(&self) -> &IndexMap { - &self.field_meta - } - - pub fn field_flags(&self, field: &str) -> &[Flag] { - self.field_meta - .get(field) - .map(|meta| meta.flags.as_slice()) - .unwrap_or(&[]) - } - - pub fn field_checks(&self, field: &str) -> &[ConstraintResult] { - self.field_meta - .get(field) - .map(|meta| meta.checks.as_slice()) - .unwrap_or(&[]) - } - - pub fn field_raw(&self, field: &str) -> Option<&str> { - self.field_meta.get(field).map(|meta| meta.raw_text.as_str()) - } - - pub fn field_names(&self) -> impl Iterator + '_ { - self.field_meta.keys().map(|name| name.as_str()) - } - - pub fn has_failed_checks(&self) -> bool { - self.field_meta - .values() - .flat_map(|meta| &meta.checks) - .any(|check| !check.passed) - } -} - -#[derive(Debug, thiserror::Error)] -pub enum CallOutcomeErrorKind { - #[error("LM call failed")] - Lm(#[source] LmError), - - #[error("failed to parse LLM response")] - Parse(#[source] ParseError), - - #[error("failed to convert parsed value to output type")] - Conversion(#[source] ConversionError, BamlValue), -} - -#[derive(Debug, thiserror::Error)] -#[error("call outcome failed: {kind}")] -pub struct CallOutcomeError { - pub metadata: CallMetadata, - pub kind: CallOutcomeErrorKind, -} - -impl CallOutcomeError { - pub fn into_predict_error(self) -> PredictError { - match self.kind { - CallOutcomeErrorKind::Lm(source) => PredictError::Lm { source }, - CallOutcomeErrorKind::Parse(source) => PredictError::Parse { - source, - raw_response: self.metadata.raw_response, - lm_usage: self.metadata.lm_usage, - }, - CallOutcomeErrorKind::Conversion(source, parsed) => PredictError::Conversion { - source, - parsed, - }, - } - } -} - -pub struct CallOutcome { - metadata: CallMetadata, - result: Result, -} - -impl CallOutcome { - pub fn ok(output: O, metadata: CallMetadata) -> Self { - Self { - metadata, - result: Ok(output), - } - } - - pub fn err(kind: CallOutcomeErrorKind, metadata: CallMetadata) -> Self { - Self { - metadata, - result: Err(kind), - } - } - - pub fn metadata(&self) -> &CallMetadata { - &self.metadata - } - - pub fn into_result(self) -> Result { - match self.result { - Ok(output) => Ok(output), - Err(kind) => Err(CallOutcomeError { - metadata: self.metadata, - kind, - }), - } - } - - pub fn try_into_result(self) -> Result { - self.into_result() - } - - pub fn into_parts(self) -> (Result, CallMetadata) { - (self.result, self.metadata) - } - - pub fn result(&self) -> &Result { - &self.result - } -} - -impl Deref for CallOutcome { - type Target = Result; - - fn deref(&self) -> &Self::Target { - &self.result - } -} - -impl DerefMut for CallOutcome { - fn deref_mut(&mut self) -> &mut Self::Target { - &mut self.result - } -} - -#[cfg(feature = "nightly-try")] -impl std::ops::Try for CallOutcome { - type Output = O; - type Residual = CallOutcome; - - fn from_output(output: Self::Output) -> Self { - Self::ok(output, CallMetadata::default()) - } - - fn branch(self) -> std::ops::ControlFlow { - match self.into_parts() { - (Ok(value), _) => std::ops::ControlFlow::Continue(value), - (Err(err), metadata) => { - std::ops::ControlFlow::Break(CallOutcome::err(err, metadata)) - } - } - } -} - -#[cfg(feature = "nightly-try")] -impl std::ops::FromResidual> for CallOutcome { - fn from_residual(residual: CallOutcome) -> Self { - let (result, metadata) = residual.into_parts(); - let err = match result { - Ok(value) => match value {}, - Err(err) => err, - }; - CallOutcome::err(err, metadata) - } -} diff --git a/crates/dspy-rs/src/core/call_result.rs b/crates/dspy-rs/src/core/call_result.rs deleted file mode 100644 index a9349a8e..00000000 --- a/crates/dspy-rs/src/core/call_result.rs +++ /dev/null @@ -1,148 +0,0 @@ -use crate::LmUsage; - -use super::{CallMetadata, CallOutcome, CallOutcomeError, ConstraintResult, FieldMeta}; - -#[deprecated( - since = "0.7.4", - note = "Use CallOutcome as the primary typed call surface" -)] -pub struct CallResult { - pub output: O, - pub raw_response: String, - pub lm_usage: LmUsage, - pub tool_calls: Vec, - pub tool_executions: Vec, - pub node_id: Option, - fields: indexmap::IndexMap, -} - -#[allow(deprecated)] -impl CallResult { - pub fn new( - output: O, - raw_response: String, - lm_usage: LmUsage, - tool_calls: Vec, - tool_executions: Vec, - node_id: Option, - fields: indexmap::IndexMap, - ) -> Self { - Self { - output, - raw_response, - lm_usage, - tool_calls, - tool_executions, - node_id, - fields, - } - } - - pub fn field_flags(&self, field: &str) -> &[crate::Flag] { - self.fields - .get(field) - .map(|meta| meta.flags.as_slice()) - .unwrap_or(&[]) - } - - pub fn field_checks(&self, field: &str) -> &[ConstraintResult] { - self.fields - .get(field) - .map(|meta| meta.checks.as_slice()) - .unwrap_or(&[]) - } - - pub fn field_raw(&self, field: &str) -> Option<&str> { - self.fields.get(field).map(|meta| meta.raw_text.as_str()) - } - - pub fn field_names(&self) -> impl Iterator + '_ { - self.fields.keys().map(|name: &String| name.as_str()) - } - - pub fn has_failed_checks(&self) -> bool { - self.fields - .values() - .flat_map(|meta| &meta.checks) - .any(|check| !check.passed) - } - - pub fn into_outcome(self) -> CallOutcome { - CallOutcome::ok( - self.output, - CallMetadata::new( - self.raw_response, - self.lm_usage, - self.tool_calls, - self.tool_executions, - self.node_id, - self.fields, - ), - ) - } -} - -#[allow(deprecated)] -impl From> for CallOutcome { - fn from(value: CallResult) -> Self { - value.into_outcome() - } -} - -#[allow(deprecated)] -impl TryFrom> for CallResult { - type Error = CallOutcomeError; - - fn try_from(value: CallOutcome) -> Result { - let metadata = value.metadata().clone(); - let output = value.into_result()?; - Ok(Self::new( - output, - metadata.raw_response, - metadata.lm_usage, - metadata.tool_calls, - metadata.tool_executions, - metadata.node_id, - metadata.field_meta, - )) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn call_result_accessors() { - let mut fields = indexmap::IndexMap::new(); - fields.insert( - "answer".to_string(), - FieldMeta { - raw_text: "42".to_string(), - flags: Vec::new(), - checks: vec![ConstraintResult { - label: "non_empty".to_string(), - expression: "this.len() > 0".to_string(), - passed: false, - }], - }, - ); - - #[allow(deprecated)] - let result = CallResult::new( - "ok", - "raw".to_string(), - LmUsage::default(), - Vec::new(), - Vec::new(), - None, - fields, - ); - - assert_eq!(result.field_raw("answer"), Some("42")); - assert!(result.field_flags("missing").is_empty()); - assert!(result.has_failed_checks()); - let names: Vec<_> = result.field_names().collect(); - assert_eq!(names, vec!["answer"]); - } -} diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index 1178d1c2..956e7816 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -1,6 +1,5 @@ -mod call_outcome; -mod call_result; mod errors; +mod predicted; pub mod lm; pub mod module; mod module_ext; @@ -9,11 +8,8 @@ pub mod settings; pub mod signature; pub mod specials; -pub use call_outcome::{ - CallMetadata, CallOutcome, CallOutcomeError, CallOutcomeErrorKind, ConstraintResult, FieldMeta, -}; -pub use call_result::CallResult; pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; +pub use predicted::{CallMetadata, ConstraintResult, FieldMeta, Predicted}; pub use lm::*; pub use module::*; pub use module_ext::*; diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index d8528ac9..e5d78d66 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -3,14 +3,18 @@ use indexmap::IndexMap; use kdam::{BarExt, tqdm}; use tracing::debug; -use crate::{BamlType, CallOutcome, Facet, core::MetaSignature}; +use crate::{BamlType, Facet, PredictError, Predicted, core::MetaSignature}; #[allow(async_fn_in_trait)] pub trait Module: Send + Sync { type Input: BamlType + for<'a> Facet<'a> + Send + Sync; type Output: BamlType + for<'a> Facet<'a> + Send + Sync; - async fn forward(&self, input: Self::Input) -> CallOutcome; + async fn forward(&self, input: Self::Input) -> Result, PredictError>; + + async fn call(&self, input: Self::Input) -> Result, PredictError> { + self.forward(input).await + } } #[tracing::instrument( @@ -23,7 +27,7 @@ pub async fn forward_all( module: &M, inputs: Vec, max_concurrency: usize, -) -> Vec> +) -> Vec, PredictError>> where M: Module + ?Sized, { @@ -41,7 +45,7 @@ pub async fn forward_all_with_progress( inputs: Vec, max_concurrency: usize, display_progress: bool, -) -> Vec> +) -> Vec, PredictError>> where M: Module + ?Sized, { @@ -52,9 +56,9 @@ where None }; - let mut indexed_results: Vec<(usize, CallOutcome)> = + let mut indexed_results: Vec<(usize, Result, PredictError>)> = stream::iter(inputs.into_iter().enumerate()) - .map(|(idx, input)| async move { (idx, module.forward(input).await) }) + .map(|(idx, input)| async move { (idx, module.call(input).await) }) .buffer_unordered(max_concurrency) .inspect(|_| { if let Some(ref mut progress) = pb { diff --git a/crates/dspy-rs/src/core/module_ext.rs b/crates/dspy-rs/src/core/module_ext.rs index 91089654..eb6d4eee 100644 --- a/crates/dspy-rs/src/core/module_ext.rs +++ b/crates/dspy-rs/src/core/module_ext.rs @@ -1,4 +1,4 @@ -use crate::{BamlType, CallOutcome, CallOutcomeErrorKind, Facet}; +use crate::{BamlType, Facet, PredictError, Predicted}; use super::Module; @@ -16,7 +16,7 @@ pub trait ModuleExt: Module + Sized { fn and_then(self, and_then: F) -> AndThen where - F: Fn(Self::Output) -> Result + Send + Sync + 'static, + F: Fn(Self::Output) -> Result + Send + Sync + 'static, T: BamlType + for<'a> Facet<'a> + Send + Sync, { AndThen { @@ -106,12 +106,10 @@ where type Input = M::Input; type Output = T; - async fn forward(&self, input: Self::Input) -> CallOutcome { - let (result, metadata) = self.inner.forward(input).await.into_parts(); - match result { - Ok(output) => CallOutcome::ok((self.map.0)(output), metadata), - Err(err) => CallOutcome::err(err, metadata), - } + async fn forward(&self, input: Self::Input) -> Result, PredictError> { + let predicted = self.inner.call(input).await?; + let (output, metadata) = predicted.into_parts(); + Ok(Predicted::new((self.map.0)(output), metadata)) } } @@ -186,20 +184,16 @@ where impl Module for AndThen where M: Module, - F: Fn(M::Output) -> Result + Send + Sync + 'static, + F: Fn(M::Output) -> Result + Send + Sync + 'static, T: BamlType + for<'a> Facet<'a> + Send + Sync, { type Input = M::Input; type Output = T; - async fn forward(&self, input: Self::Input) -> CallOutcome { - let (result, metadata) = self.inner.forward(input).await.into_parts(); - match result { - Ok(output) => match (self.and_then.0)(output) { - Ok(transformed) => CallOutcome::ok(transformed, metadata), - Err(err) => CallOutcome::err(err, metadata), - }, - Err(err) => CallOutcome::err(err, metadata), - } + async fn forward(&self, input: Self::Input) -> Result, PredictError> { + let predicted = self.inner.call(input).await?; + let (output, metadata) = predicted.into_parts(); + let transformed = (self.and_then.0)(output)?; + Ok(Predicted::new(transformed, metadata)) } } diff --git a/crates/dspy-rs/src/core/predicted.rs b/crates/dspy-rs/src/core/predicted.rs new file mode 100644 index 00000000..5c4ebe88 --- /dev/null +++ b/crates/dspy-rs/src/core/predicted.rs @@ -0,0 +1,128 @@ +use std::ops::Deref; + +use indexmap::IndexMap; +use rig::message::ToolCall; + +use crate::{Flag, LmUsage}; + +#[derive(Debug, Clone)] +pub struct FieldMeta { + pub raw_text: String, + pub flags: Vec, + pub checks: Vec, +} + +#[derive(Debug, Clone)] +pub struct ConstraintResult { + pub label: String, + pub expression: String, + pub passed: bool, +} + +#[derive(Debug, Clone)] +pub struct CallMetadata { + pub raw_response: String, + pub lm_usage: LmUsage, + pub tool_calls: Vec, + pub tool_executions: Vec, + pub node_id: Option, + pub field_meta: IndexMap, +} + +impl Default for CallMetadata { + fn default() -> Self { + Self { + raw_response: String::new(), + lm_usage: LmUsage::default(), + tool_calls: Vec::new(), + tool_executions: Vec::new(), + node_id: None, + field_meta: IndexMap::new(), + } + } +} + +impl CallMetadata { + pub fn new( + raw_response: String, + lm_usage: LmUsage, + tool_calls: Vec, + tool_executions: Vec, + node_id: Option, + field_meta: IndexMap, + ) -> Self { + Self { + raw_response, + lm_usage, + tool_calls, + tool_executions, + node_id, + field_meta, + } + } + + pub fn field_meta(&self) -> &IndexMap { + &self.field_meta + } + + pub fn field_flags(&self, field: &str) -> &[Flag] { + self.field_meta + .get(field) + .map(|meta| meta.flags.as_slice()) + .unwrap_or(&[]) + } + + pub fn field_checks(&self, field: &str) -> &[ConstraintResult] { + self.field_meta + .get(field) + .map(|meta| meta.checks.as_slice()) + .unwrap_or(&[]) + } + + pub fn field_raw(&self, field: &str) -> Option<&str> { + self.field_meta.get(field).map(|meta| meta.raw_text.as_str()) + } + + pub fn field_names(&self) -> impl Iterator + '_ { + self.field_meta.keys().map(|name| name.as_str()) + } + + pub fn has_failed_checks(&self) -> bool { + self.field_meta + .values() + .flat_map(|meta| &meta.checks) + .any(|check| !check.passed) + } +} + +#[derive(Debug, Clone)] +pub struct Predicted { + output: O, + metadata: CallMetadata, +} + +impl Predicted { + pub fn new(output: O, metadata: CallMetadata) -> Self { + Self { output, metadata } + } + + pub fn metadata(&self) -> &CallMetadata { + &self.metadata + } + + pub fn into_inner(self) -> O { + self.output + } + + pub fn into_parts(self) -> (O, CallMetadata) { + (self.output, self.metadata) + } +} + +impl Deref for Predicted { + type Target = O; + + fn deref(&self) -> &Self::Target { + &self.output + } +} diff --git a/crates/dspy-rs/src/evaluate/evaluator.rs b/crates/dspy-rs/src/evaluate/evaluator.rs index f2f49b09..383e2f4b 100644 --- a/crates/dspy-rs/src/evaluate/evaluator.rs +++ b/crates/dspy-rs/src/evaluate/evaluator.rs @@ -30,8 +30,8 @@ pub trait Evaluator: Module { .await; let mut predictions = Vec::with_capacity(outcomes.len()); for (idx, outcome) in outcomes.into_iter().enumerate() { - match outcome.into_result() { - Ok(prediction) => predictions.push(prediction), + match outcome { + Ok(prediction) => predictions.push(prediction.into_inner()), Err(err) => { warn!(idx, error = %err, "evaluation failed while generating predictions"); panic!("evaluation failed: {err}"); diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 54853434..66271516 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -4,7 +4,7 @@ use crate::augmentation::Augmented; use crate::Augmentation; use crate::core::{MetaSignature, Module, Optimizable, Signature}; use crate::predictors::{Demo, Predict, PredictBuilder}; -use crate::{BamlType, CallOutcome, Example}; +use crate::{BamlType, Example, PredictError, Predicted}; #[derive(Augmentation, Clone, Debug)] #[augment(output, prepend)] @@ -36,7 +36,21 @@ impl ChainOfThought { ChainOfThoughtBuilder::new() } - pub async fn call(&self, input: S::Input) -> CallOutcome> + pub async fn call( + &self, + input: S::Input, + ) -> Result>, PredictError> + where + S::Input: BamlType, + S::Output: BamlType, + { + self.forward(input).await + } + + pub async fn forward( + &self, + input: S::Input, + ) -> Result>, PredictError> where S::Input: BamlType, S::Output: BamlType, @@ -54,8 +68,11 @@ where type Input = S::Input; type Output = WithReasoning; - async fn forward(&self, input: S::Input) -> CallOutcome> { - self.predictor.call(input).await + async fn forward( + &self, + input: S::Input, + ) -> Result>, PredictError> { + ChainOfThought::forward(self, input).await } } diff --git a/crates/dspy-rs/src/modules/react.rs b/crates/dspy-rs/src/modules/react.rs index bc6ee5d1..2c6d4cc2 100644 --- a/crates/dspy-rs/src/modules/react.rs +++ b/crates/dspy-rs/src/modules/react.rs @@ -9,7 +9,7 @@ use rig::wasm_compat::WasmBoxedFuture; use crate::core::{Module, Signature}; use crate::predictors::{Predict, PredictBuilder}; -use crate::{BamlType, CallOutcome}; +use crate::{BamlType, PredictError, Predicted}; /// ReAct action-step schema. #[derive(dsrs_macros::Signature, Clone, Debug)] @@ -76,10 +76,14 @@ where ReActBuilder::new() } - pub async fn call(&self, input: S::Input) -> CallOutcome { + pub async fn call(&self, input: S::Input) -> Result, PredictError> { self.forward(input).await } + pub async fn forward(&self, input: S::Input) -> Result, PredictError> { + self.run(input).await + } + async fn render_tool_manifest(&self) -> String { if self.tools.is_empty() { return "Available tools: (none)".to_string(); @@ -139,7 +143,7 @@ where ) } - async fn run(&self, input: S::Input) -> CallOutcome { + async fn run(&self, input: S::Input) -> Result, PredictError> { let serialized_input = serde_json::to_string(&input.to_baml_value()) .unwrap_or_else(|_| "".to_string()); @@ -155,8 +159,8 @@ where let action_input = ReActActionStepInput::new(serialized_input.clone(), trajectory_text.clone()); - let (action_result, mut action_metadata) = - self.action.call(action_input).await.into_parts(); + let action_predicted = self.action.call(action_input).await?; + let (action_output, mut action_metadata) = action_predicted.into_parts(); tool_calls.append(&mut action_metadata.tool_calls); tool_executions.append(&mut action_metadata.tool_executions); @@ -164,10 +168,7 @@ where thought, action, action_input, - } = match action_result { - Ok(output) => output, - Err(err) => return CallOutcome::err(err, action_metadata), - }; + } = action_output; let action_name = action .trim() @@ -218,18 +219,13 @@ where let extract_input = ReActExtractStepInput::new(serialized_input, trajectory_text); - let (extract_result, mut extract_metadata) = - self.extract.call(extract_input).await.into_parts(); + let extract_predicted = self.extract.call(extract_input).await?; + let (extract_output, mut extract_metadata) = extract_predicted.into_parts(); extract_metadata.tool_calls.extend(tool_calls); extract_metadata.tool_executions.extend(tool_executions); - match extract_result { - Ok(output) => { - let output: ReActExtractStepOutput = output; - CallOutcome::ok(output.output, extract_metadata) - } - Err(err) => CallOutcome::err(err, extract_metadata), - } + let output: ReActExtractStepOutput = extract_output; + Ok(Predicted::new(output.output, extract_metadata)) } } @@ -253,8 +249,8 @@ where type Input = S::Input; type Output = S::Output; - async fn forward(&self, input: S::Input) -> CallOutcome { - self.run(input).await + async fn forward(&self, input: S::Input) -> Result, PredictError> { + ReAct::forward(self, input).await } } diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index d07d7d86..f44670e3 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -266,10 +266,10 @@ impl GEPA { .iter() .map(|example| async move { let prediction = module - .forward(example.clone()) + .call(example.clone()) .await - .into_result() - .map_err(|err| anyhow::anyhow!(err))?; + .map_err(|err| anyhow::anyhow!(err))? + .into_inner(); let feedback = module.feedback_metric(example, &prediction).await; Ok::(feedback.score) }) @@ -292,10 +292,10 @@ impl GEPA { for example in minibatch { let prediction = module - .forward(example.clone()) + .call(example.clone()) .await - .into_result() - .map_err(|err| anyhow::anyhow!(err))?; + .map_err(|err| anyhow::anyhow!(err))? + .into_inner(); let feedback = module.feedback_metric(example, &prediction).await; // Format trace for LLM reflection diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index c030c09d..dd22f55a 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -244,10 +244,10 @@ impl MIPROv2 { // Run forward pass let prediction = module - .forward(example.clone()) + .call(example.clone()) .await - .into_result() .map_err(|err| anyhow::anyhow!(err)) + .map(|predicted| predicted.into_inner()) .context("Failed to generate prediction for trace")?; // Evaluate the prediction diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 609e85d6..47c071bf 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -11,9 +11,8 @@ use tracing::{debug, trace}; use crate::adapter::Adapter; use crate::core::{MetaSignature, Module, Optimizable, Signature}; use crate::{ - BamlType, BamlValue, CallMetadata, CallOutcome, CallOutcomeError, CallOutcomeErrorKind, Chat, - ChatAdapter, Example, FieldSchema, GLOBAL_SETTINGS, LM, LmError, LmUsage, PredictError, - Prediction, + BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, Example, FieldSchema, GLOBAL_SETTINGS, + LM, LmError, LmUsage, PredictError, Predicted, Prediction, }; #[derive(facet::Facet)] @@ -67,7 +66,15 @@ impl Predict { tracing_graph = crate::trace::is_tracing() ) )] - pub async fn call(&self, input: S::Input) -> CallOutcome + pub async fn call(&self, input: S::Input) -> Result, PredictError> + where + S::Input: BamlType, + S::Output: BamlType, + { + self.forward(input).await + } + + pub async fn forward(&self, input: S::Input) -> Result, PredictError> where S::Input: BamlType, S::Output: BamlType, @@ -84,15 +91,13 @@ impl Predict { { Ok(system) => system, Err(err) => { - let metadata = CallMetadata::default(); - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: "internal".to_string(), message: err.to_string(), source: None, - }), - metadata, - ); + }, + }); } }; @@ -117,15 +122,13 @@ impl Predict { let response = match lm.call(chat, self.tools.clone()).await { Ok(response) => response, Err(err) => { - let metadata = CallMetadata::default(); - return CallOutcome::err( - CallOutcomeErrorKind::Lm(LmError::Provider { + return Err(PredictError::Lm { + source: LmError::Provider { provider: lm.model.clone(), message: err.to_string(), source: None, - }), - metadata, - ); + }, + }); } }; debug!( @@ -162,15 +165,11 @@ impl Predict { raw_response_len = raw_response.len(), "typed parse failed" ); - let metadata = CallMetadata::new( + return Err(PredictError::Parse { + source: err, raw_response, lm_usage, - response.tool_calls, - response.tool_executions, - node_id, - IndexMap::new(), - ); - return CallOutcome::err(CallOutcomeErrorKind::Parse(err), metadata); + }); } }; @@ -216,7 +215,7 @@ impl Predict { field_metas, ); - CallOutcome::ok(typed_output, metadata) + Ok(Predicted::new(typed_output, metadata)) } } @@ -413,10 +412,6 @@ where Ok(prediction) } -fn predict_error_from_outcome(kind: CallOutcomeErrorKind, metadata: CallMetadata) -> PredictError { - CallOutcomeError { metadata, kind }.into_predict_error() -} - impl Module for Predict where S: Signature + Clone, @@ -435,8 +430,8 @@ where typed = true ) )] - async fn forward(&self, input: S::Input) -> CallOutcome { - self.call(input).await + async fn forward(&self, input: S::Input) -> Result, PredictError> { + Predict::forward(self, input).await } } @@ -455,24 +450,21 @@ where pub async fn forward_untyped( &self, input: BamlValue, - ) -> CallOutcome { + ) -> Result, PredictError> { let typed_input = match S::Input::try_from_baml_value(input.clone()) { Ok(typed_input) => typed_input, Err(err) => { debug!(error = %err, "untyped input conversion failed"); - return CallOutcome::err( - CallOutcomeErrorKind::Conversion(err.into(), input), - CallMetadata::default(), - ); + return Err(PredictError::Conversion { + source: err.into(), + parsed: input, + }); } }; - let (result, metadata) = self.call(typed_input).await.into_parts(); - let output = match result { - Ok(output) => output, - Err(kind) => return CallOutcome::err(kind, metadata), - }; + let predicted = self.call(typed_input).await?; + let (output, metadata) = predicted.into_parts(); debug!("typed predict forward_untyped complete"); - CallOutcome::ok(output.to_baml_value(), metadata) + Ok(Predicted::new(output.to_baml_value(), metadata)) } } diff --git a/crates/dspy-rs/tests/test_call_outcome.rs b/crates/dspy-rs/tests/test_call_outcome.rs index 2edd35c0..30c95722 100644 --- a/crates/dspy-rs/tests/test_call_outcome.rs +++ b/crates/dspy-rs/tests/test_call_outcome.rs @@ -1,42 +1,40 @@ -use dspy_rs::{ - CallMetadata, CallOutcome, CallOutcomeErrorKind, ConstraintResult, FieldMeta, LmUsage, - ParseError, -}; +use dspy_rs::{CallMetadata, ConstraintResult, FieldMeta, LmUsage, ParseError, PredictError, Predicted}; use indexmap::IndexMap; #[test] -fn error_outcome_preserves_metadata() { - let metadata = CallMetadata::new( - "raw response".to_string(), - LmUsage::default(), - Vec::new(), - Vec::new(), - Some(42), - IndexMap::new(), - ); - - let outcome: CallOutcome = CallOutcome::err( - CallOutcomeErrorKind::Parse(ParseError::MissingField { +fn parse_error_preserves_raw_response_and_usage() { + let usage = LmUsage { + prompt_tokens: 5, + completion_tokens: 7, + total_tokens: 12, + }; + let err = PredictError::Parse { + source: ParseError::MissingField { field: "answer".to_string(), raw_response: "raw response".to_string(), - }), - metadata.clone(), - ); - - let err = outcome.into_result().expect_err("expected parse failure"); - assert_eq!(err.metadata.raw_response, metadata.raw_response); - assert_eq!(err.metadata.node_id, Some(42)); + }, + raw_response: "raw response".to_string(), + lm_usage: usage.clone(), + }; - match err.kind { - CallOutcomeErrorKind::Parse(ParseError::MissingField { field, .. }) => { - assert_eq!(field, "answer") + match err { + PredictError::Parse { + source: ParseError::MissingField { field, .. }, + raw_response, + lm_usage, + } => { + assert_eq!(field, "answer"); + assert_eq!(raw_response, "raw response"); + assert_eq!(lm_usage.prompt_tokens, usage.prompt_tokens); + assert_eq!(lm_usage.completion_tokens, usage.completion_tokens); + assert_eq!(lm_usage.total_tokens, usage.total_tokens); } - other => panic!("unexpected error kind: {other:?}"), + other => panic!("unexpected error type: {other:?}"), } } #[test] -fn success_outcome_exposes_field_metadata() { +fn predicted_exposes_field_metadata() { let mut field_meta = IndexMap::new(); field_meta.insert( "answer".to_string(), @@ -60,10 +58,10 @@ fn success_outcome_exposes_field_metadata() { field_meta, ); - let outcome = CallOutcome::ok("Paris".to_string(), metadata); - assert_eq!(outcome.metadata().field_raw("answer"), Some("Paris")); - assert!(!outcome.metadata().has_failed_checks()); + let predicted = Predicted::new("Paris".to_string(), metadata); + assert_eq!(predicted.metadata().field_raw("answer"), Some("Paris")); + assert!(!predicted.metadata().has_failed_checks()); - let output = outcome.into_result().expect("expected success"); + let output = predicted.into_inner(); assert_eq!(output, "Paris"); } diff --git a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs index 0cd2c872..52023910 100644 --- a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs +++ b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs @@ -68,8 +68,7 @@ async fn chain_of_thought_swaps_and_returns_with_reasoning() { let input = QAInput { question: "What is the capital of France?".to_string(), }; - let outcome = cot.call(input).await; - let result: WithReasoning = outcome.into_result().unwrap(); + let result: WithReasoning = cot.call(input).await.unwrap().into_inner(); assert_eq!(result.reasoning, "Think"); assert_eq!(result.answer, "Paris"); diff --git a/crates/dspy-rs/tests/test_chat_adapter_schema.rs b/crates/dspy-rs/tests/test_chat_adapter_schema.rs index 1187b7bf..388218a7 100644 --- a/crates/dspy-rs/tests/test_chat_adapter_schema.rs +++ b/crates/dspy-rs/tests/test_chat_adapter_schema.rs @@ -1,4 +1,4 @@ -use dspy_rs::{CallMetadata, CallOutcome, ChatAdapter, Message, Signature}; +use dspy_rs::{CallMetadata, ChatAdapter, Message, Predicted, Signature}; #[derive(Signature, Clone, Debug)] /// Adapter schema parse fixture. @@ -42,11 +42,11 @@ fn parse_response_typed_uses_schema_field_names() { None, field_meta, ); - let outcome = CallOutcome::ok(output, metadata); + let predicted = Predicted::new(output, metadata); - assert_eq!(outcome.metadata().field_raw("answer"), Some("Paris")); - assert!(!outcome.metadata().has_failed_checks()); - assert_eq!(outcome.into_result().expect("outcome ok").answer, "Paris"); + assert_eq!(predicted.metadata().field_raw("answer"), Some("Paris")); + assert!(!predicted.metadata().has_failed_checks()); + assert_eq!(predicted.into_inner().answer, "Paris"); } #[test] diff --git a/crates/dspy-rs/tests/test_module_ext.rs b/crates/dspy-rs/tests/test_module_ext.rs index 7e1bfafc..705f756b 100644 --- a/crates/dspy-rs/tests/test_module_ext.rs +++ b/crates/dspy-rs/tests/test_module_ext.rs @@ -1,5 +1,5 @@ use dspy_rs::{ - BamlType, CallMetadata, CallOutcome, CallOutcomeErrorKind, Module, ModuleExt, ParseError, + BamlType, CallMetadata, Module, ModuleExt, ParseError, PredictError, Predicted, }; struct MaybeFails; @@ -20,7 +20,7 @@ impl Module for MaybeFails { type Input = IntPayload; type Output = IntPayload; - async fn forward(&self, input: Self::Input) -> CallOutcome { + async fn forward(&self, input: Self::Input) -> Result, PredictError> { let input_value = input.value; let metadata = CallMetadata::new( format!("raw:{input_value}"), @@ -32,20 +32,21 @@ impl Module for MaybeFails { ); if input_value < 0 { - CallOutcome::err( - CallOutcomeErrorKind::Parse(ParseError::MissingField { + Err(PredictError::Parse { + source: ParseError::MissingField { field: "value".to_string(), raw_response: format!("raw:{input_value}"), - }), - metadata, - ) + }, + raw_response: format!("raw:{input_value}"), + lm_usage: dspy_rs::LmUsage::default(), + }) } else { - CallOutcome::ok( + Ok(Predicted::new( IntPayload { value: input_value * 2, }, metadata, - ) + )) } } } @@ -57,21 +58,24 @@ async fn map_transforms_success_and_preserves_metadata() { value: format!("v={}", value.value), }); - let success = mapped.forward(IntPayload { value: 3 }).await; + let success = mapped.call(IntPayload { value: 3 }).await.unwrap(); assert_eq!(success.metadata().raw_response, "raw:3"); assert_eq!( - success.into_result().expect("success expected"), + success.into_inner(), TextPayload { value: "v=6".to_string() } ); - let failure = mapped.forward(IntPayload { value: -7 }).await; - let err = failure.into_result().expect_err("failure expected"); - assert_eq!(err.metadata.raw_response, "raw:-7"); - match err.kind { - CallOutcomeErrorKind::Parse(ParseError::MissingField { field, .. }) => { - assert_eq!(field, "value") + let err = mapped.call(IntPayload { value: -7 }).await.expect_err("failure expected"); + match err { + PredictError::Parse { + source: ParseError::MissingField { field, .. }, + raw_response, + .. + } => { + assert_eq!(field, "value"); + assert_eq!(raw_response, "raw:-7"); } other => panic!("unexpected error: {other:?}"), } @@ -86,30 +90,38 @@ async fn and_then_applies_fallible_transform_and_keeps_metadata() { value: value.value.to_string(), }) } else { - Err(CallOutcomeErrorKind::Parse(ParseError::MissingField { - field: "transformed".to_string(), + Err(PredictError::Parse { + source: ParseError::MissingField { + field: "transformed".to_string(), + raw_response: "transform".to_string(), + }, raw_response: "transform".to_string(), - })) + lm_usage: dspy_rs::LmUsage::default(), + }) } }); - let success = module.forward(IntPayload { value: 3 }).await; + let success = module.call(IntPayload { value: 3 }).await.unwrap(); assert_eq!(success.metadata().raw_response, "raw:3"); assert_eq!( - success.into_result().expect("success expected"), + success.into_inner(), TextPayload { value: "6".to_string() } ); - let transformed_error = module.forward(IntPayload { value: 1 }).await; - let err = transformed_error - .into_result() + let err = module + .call(IntPayload { value: 1 }) + .await .expect_err("transform error expected"); - assert_eq!(err.metadata.raw_response, "raw:1"); - match err.kind { - CallOutcomeErrorKind::Parse(ParseError::MissingField { field, .. }) => { - assert_eq!(field, "transformed") + match err { + PredictError::Parse { + source: ParseError::MissingField { field, .. }, + raw_response, + .. + } => { + assert_eq!(field, "transformed"); + assert_eq!(raw_response, "transform"); } other => panic!("unexpected error: {other:?}"), } diff --git a/crates/dspy-rs/tests/test_module_forward_all.rs b/crates/dspy-rs/tests/test_module_forward_all.rs index ca21a57f..a2376455 100644 --- a/crates/dspy-rs/tests/test_module_forward_all.rs +++ b/crates/dspy-rs/tests/test_module_forward_all.rs @@ -1,6 +1,6 @@ use std::time::Duration; -use dspy_rs::{BamlType, CallMetadata, CallOutcome, Module, forward_all}; +use dspy_rs::{BamlType, CallMetadata, Module, PredictError, Predicted, forward_all}; use tokio::time::sleep; struct DelayEcho; @@ -22,12 +22,12 @@ impl Module for DelayEcho { type Input = DelayInput; type Output = DelayOutput; - async fn forward(&self, input: Self::Input) -> CallOutcome { + async fn forward(&self, input: Self::Input) -> Result, PredictError> { sleep(Duration::from_millis(input.delay_ms.max(0) as u64)).await; - CallOutcome::ok( + Ok(Predicted::new( DelayOutput { value: input.value }, CallMetadata::default(), - ) + )) } } @@ -57,7 +57,7 @@ async fn forward_all_preserves_input_order() { let outcomes = forward_all(&module, inputs, 2).await; let outputs = outcomes .into_iter() - .map(|outcome| outcome.into_result().expect("forward should succeed").value) + .map(|outcome| outcome.expect("forward should succeed").into_inner().value) .collect::>(); assert_eq!(outputs, vec![0, 1, 2, 3]); diff --git a/crates/dspy-rs/tests/test_react_builder.rs b/crates/dspy-rs/tests/test_react_builder.rs index 74d7c469..44c243bd 100644 --- a/crates/dspy-rs/tests/test_react_builder.rs +++ b/crates/dspy-rs/tests/test_react_builder.rs @@ -108,13 +108,14 @@ async fn react_builder_executes_multi_tool_calculator_loop_and_extracts_output() }) .build(); - let outcome = react - .forward(QAInput { + let predicted = react + .call(QAInput { question: "Compute (17 + 5) * 3 using tools.".to_string(), }) - .await; + .await + .expect("react call should succeed"); - let (result, metadata) = outcome.into_parts(); + let (result, metadata) = predicted.into_parts(); assert_eq!( add_calls.load(Ordering::SeqCst), 1, @@ -167,8 +168,6 @@ async fn react_builder_executes_multi_tool_calculator_loop_and_extracts_output() metadata.tool_executions ); - let result: QAOutput = result - .map_err(|err| format!("{err:?}")) - .expect("react call should succeed"); + let result: QAOutput = result; assert_eq!(result.answer, "66"); } diff --git a/crates/dspy-rs/tests/typed_integration.rs b/crates/dspy-rs/tests/typed_integration.rs index 64447ca0..6b6f7968 100644 --- a/crates/dspy-rs/tests/typed_integration.rs +++ b/crates/dspy-rs/tests/typed_integration.rs @@ -82,9 +82,9 @@ async fn typed_prediction_happy_path_with_metadata() { question: "What is the capital of France?".to_string(), }; - let outcome = predict.call(input).await; - let metadata = outcome.metadata().clone(); - let result = outcome.into_result().unwrap(); + let predicted = predict.call(input).await.unwrap(); + let metadata = predicted.metadata().clone(); + let result = predicted.into_inner(); assert_eq!(result.answer, "Paris"); assert!((result.confidence - 0.9).abs() < 1e-6); @@ -111,9 +111,9 @@ async fn typed_prediction_check_failure_is_recorded() { question: "What is the capital of France?".to_string(), }; - let outcome = predict.call(input).await; - let metadata = outcome.metadata().clone(); - let _ = outcome.into_result().unwrap(); + let predicted = predict.call(input).await.unwrap(); + let metadata = predicted.metadata().clone(); + let _ = predicted.into_inner(); let checks = metadata.field_checks("confidence"); let check = checks @@ -136,10 +136,10 @@ async fn typed_prediction_missing_field_surfaces_error() { question: "What is the capital of France?".to_string(), }; - let err = match predict.call(input).await.into_result() { - Ok(_) => panic!("expected missing field error"), - Err(err) => err.into_predict_error(), - }; + let err = predict + .call(input) + .await + .expect_err("expected missing field error"); match err { PredictError::Parse { source, .. } => match source { ParseError::Multiple { errors, .. } => { @@ -168,10 +168,10 @@ async fn typed_prediction_assert_failure_raises_error() { question: "What is the capital of France?".to_string(), }; - let err = match predict.call(input).await.into_result() { - Ok(_) => panic!("expected assert failure error"), - Err(err) => err.into_predict_error(), - }; + let err = predict + .call(input) + .await + .expect_err("expected assert failure error"); match err { PredictError::Parse { source, .. } => match source { ParseError::Multiple { errors, .. } => { @@ -214,7 +214,7 @@ async fn typed_i32_rating_parses_correctly() { answer: "The sky is blue because of Rayleigh scattering.".to_string(), }; - let result = predict.call(input).await.into_result().unwrap(); + let result = predict.call(input).await.unwrap().into_inner(); assert_eq!(result.rating, 8); } @@ -232,7 +232,7 @@ async fn typed_i32_rating_parses_fraction() { answer: "Rayleigh scattering.".to_string(), }; - let result = predict.call(input).await.into_result().unwrap(); + let result = predict.call(input).await.unwrap().into_inner(); // 8/10 = 0.8, rounded to 1 as integer assert_eq!(result.rating, 1); } @@ -252,7 +252,7 @@ async fn typed_i32_rating_parses_with_text() { }; // This should fail to parse - demonstrates the limitation - let result = predict.call(input).await.into_result(); + let result = predict.call(input).await; assert!( result.is_err(), "Expected parse error for rating with surrounding text" diff --git a/docs/plans/modules/phase_4_5_cleanup_kickoff.md b/docs/plans/modules/phase_4_5_cleanup_kickoff.md index 80a975f7..63760c50 100644 --- a/docs/plans/modules/phase_4_5_cleanup_kickoff.md +++ b/docs/plans/modules/phase_4_5_cleanup_kickoff.md @@ -44,7 +44,7 @@ Primary references: ## Locked Decisions (Do Not Re-open) 1. **S1/S6 direction is Option C full replacement**: Facet-native `SignatureSchema` is the target; legacy `FieldSpec`/`MetaSignature` are transitional only. -2. **Single call surface**: `CallOutcome` is the default call contract; no parallel convenience call path. +2. **Single call surface**: `Module::call` returns `Result, PredictError>`. `Predicted` carries output + metadata with `Deref`. `forward` remains as a compatibility hook/alias for implementers. Revision brief: `docs/specs/modules/calling_convention_revision.md`. 3. **Typed path is primary; dynamic is escape hatch**: user-facing APIs should optimize for typed modules first. 4. **`build_system` fallibility is intentional**: spec/docs were aligned to `Result`. 5. **Post-slice reconciliations already completed**: `ChainOfThought` Facet discoverability and ReAct parity fixes are done. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 6360e29e..f98b52a3 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,16 +1,17 @@ # Implementation Tracker ## Current State -- **Slice**: 4.5-lite -- **Phase**: Completed (Phase 4.5-lite Prerequisite Cleanup) +- **Slice**: 5 (V5 optimizer interface) +- **Phase**: Plan - **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` -- **Roadmap**: 4.5-lite (prerequisites) → V5 (optimizer interface) → V6 (dynamic graph) → Kill Pass (legacy deletion) -- **Roadmap rationale**: Original Phase 4.5 descoped; C3/C4 recognized as V5 work, C2 quarantine replaced by post-V6 deletion sweep +- **Roadmap**: V5 (optimizer interface) → V6 (dynamic graph) → Kill Pass (legacy deletion) +- **Roadmap rationale**: 4.5-lite prerequisites are complete; remaining execution follows breadboard V5→V6, then legacy deletion sweep. ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | |----|---------|-------|-------|--------|-------| +| `019c453b-9133-7b23-bb4d-6cb001dea031` | Stupidly implementable plan for Slice 5 (optimizer interface) | 5 | Plan | In progress | Drafting `slice_5.md` with verified symbols, concrete signatures, and V5-only sequencing | ## Completed Subagents | ID | Purpose | Slice | Phase | Outcome | @@ -41,11 +42,15 @@ | `019c4467-1e16-7b82-a306-2989dd593944` | Plan refinery against ground truth for Slice 4 | 4 | Plan Refinery | Completed; produced `slice_4_refinery.md` and updated `slice_4.md` with spec/shape consistency checks | One ambiguity surfaced (`and_then` metadata semantics) and was resolved during arbitration in the approved plan | | `019c4475-b295-75b0-8b03-ecfd11932e5f` | Adversarial review against ground truth for Slice 4 | 4 | Adversarial Review | Completed; produced `slice_4_review.md` with one high and one medium finding | High: ReAct missing `Facet` derivation/discoverability. Medium: ReAct loop prompt formatting bypasses adapter building blocks | | `019c4478-d3ef-76b1-98e9-cbf5f4d127ec` | Apply agreed Slice 4 arbitrate fix (ReAct Facet discoverability) | 4 | Arbitrate | Completed; added `facet::Facet` derive on `ReAct` and skipped non-discoverable fields (`tools`, `max_steps`) while keeping predictor fields discoverable | Verified by `cargo check -p dspy-rs`, then re-ran targeted tests and Slice 4 smoke successfully | -| `manual` | ReAct DSPy parity pass (single call surface + trajectory smoke evidence) | 4 | Implement → Smoke Test | Completed; removed public `call_with_trajectory`, kept trajectory in normal `CallOutcome` metadata, upgraded deterministic test to multi-tool calculator loop, and replaced smoke with GPT-5.2 calculator trajectory proof | `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder` and `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` passed | +| `manual` | ReAct DSPy parity pass (single call surface + trajectory smoke evidence) | 4 | Implement → Smoke Test | Completed; removed public `call_with_trajectory`, kept trajectory in normal `Predicted` metadata, upgraded deterministic test to multi-tool calculator loop, and replaced smoke with GPT-5.2 calculator trajectory proof | `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder` and `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` passed | +| `019c4536-e461-7792-ad3e-3c1115103a7a` | Research brief for Slice 5 (optimizer interface) | 5 | Research | Completed; created `slice_5_research.md` with V5 requirement inventory, existing optimizer/discovery surfaces, and [EXISTS]/[MODIFY]/[NEW] gaps for `DynPredictor` + walker migration | ## Decisions & Architectural Notes -- **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` as the `Module::forward` return type. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.forward(input).await?.answer`. The `call` vs `forward` naming distinction is eliminated. Former locked decision "call_with_meta folded into call" is superseded. Full revision brief: `docs/specs/modules/calling_convention_revision.md`. +- **State transition (2026-02-10):** Advanced workflow to `Slice 5 / Research` after 4.5-lite completion; V5 is now the active slice. +- **Slice 5 research arbitration (2026-02-10):** Accepted `slice_5_research.md` as implementation baseline. Locked V5 to struct-field walker recursion with explicit container errors (per N18 + S5 deferral), and carried forward the U50 API ambiguity (`metric` arg in breadboard vs current `Evaluator`-bound compile trait) into planning for explicit resolution. +- **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` for typed module calls. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.call(input).await?.answer`. Canonical user entrypoint is `Module::call`; module authors implement `forward` as the hook. +- **Interpretation note:** historical entries below may still reference `CallOutcome` because they log pre-revision milestones. Treat those references as superseded unless an entry explicitly says otherwise. - **Phase 4.5-lite completion (2026-02-10):** Exit gates passed. `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test` are green after C1/C5/C6 execution. - **C1 implementation closeout (2026-02-10):** `Module::Input`/`Output` bounds now require `BamlType + for<'a> Facet<'a> + Send + Sync`, and combinator output bounds were tightened to match. - **Facet safety correction (2026-02-10):** Replaced unsound shape aliasing on legacy `Example`/`Prediction` with derive-based Facet metadata so layout/type metadata stays truthful while data-heavy fields remain skipped/opaque. @@ -62,7 +67,7 @@ - **C7 arbitration (2026-02-09):** Accept option A (defer to V5). Error-path contract tests land when the walker exists. - **C8 arbitration (2026-02-09):** Accept option B (lock strategy). Annotation-first with optional trace inference. Recorded for V6 planning. - **State normalization (2026-02-09):** Tracker advanced from stale `Slice 3 / Done` to `Slice 4 / Research` per closure-audit transition rule (slice < 4 advances to next slice research). -- **ReAct DSPy parity arbitration (2026-02-09):** Removed separate trajectory call API from `ReAct` to keep the single `CallOutcome` call surface aligned with `F4` and DSPy reference behavior (`forward` returns prediction while trajectory is part of returned data). Trajectory is now emitted through existing call metadata (`tool_executions`) and printed in smoke/tests without introducing another call path. +- **ReAct DSPy parity arbitration (2026-02-09):** Removed separate trajectory call API from `ReAct` to keep a single call surface aligned with `F4` and DSPy reference behavior (`call` returns prediction while trajectory is part of returned data). Trajectory is now emitted through existing call metadata (`tool_executions`) and printed in smoke/tests without introducing another call path. Superseded return wrapper: `CallOutcome` -> `Result, PredictError>` per the calling convention revision. - **ReAct calculator smoke proof (2026-02-09):** Updated `93-smoke-slice4-react-operational` to exercise multi-tool calculator flow (`add` → `multiply` → `add` → `finish`) and print step-by-step trajectory from metadata; real-model smoke on `openai:gpt-5.2` passed with `tool_calls: 3`, `tool_executions: 5`, `answer: 70`. - **Slice 4 research arbitration (2026-02-09):** Reclassified `U48` from `[EXISTS]` to `[MODIFY]` in `slice_4_research.md`; batching semantics are present, but API shape currently requires `display_progress` and does not match breadboard’s 3-arg `forward_all(&module, inputs, concurrency)`. - **Slice 4 plan review (2026-02-09):** Accepted high-level sequencing (U48 surface alignment → U51 combinators → U14 ReAct + tests), but flagged two areas for refinery against code/spec: (1) exact Facet strategy for closure-bearing wrappers (`Map`/`AndThen`), and (2) concrete plain-function tool adapter surface for ReAct builder. @@ -81,13 +86,13 @@ - **Post-Implementation Cleanup (2026-02-09):** Ran full workspace validation (`cargo test`) successfully after cleanup edits. - Slice definitions for this execution are V1-V3 from `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (V1 Typed call, V2 Augmentation + CoT, V3 Module authoring). - Ground truth hierarchy for arbitration is: breadboard + shapes + design_reference + spikes S1-S8. -- **Locked (2026-02-09):** N8/typed call default return is `CallOutcome` (metadata-first). `call_with_meta` is folded into `call`; there is no separate convenience path like `forward_result`. -- **Calling convention constraint:** single return type + single convention. `CallOutcome` must support ergonomic `?`-style consumption via traits (if feasible on toolchain) without introducing parallel APIs. +- **Superseded lock (2026-02-09):** N8/typed call default return was `CallOutcome` (metadata-first) with `call_with_meta` folded into `call`. Superseded the same day by the calling convention revision to `Result, PredictError>` with `Module::call` as canonical and `forward` as implementation hook. +- **Calling convention constraint (updated):** single return type + single convention. `Module::call` returns `Result, PredictError>` and delegates to `forward`; no parallel convenience call path. - **Error payload constraint:** errors must carry call metadata context (raw response/usage/field parse detail) in the same default return flow. - **Plan review decision (2026-02-09):** Slice 1 plan must align with S1/S6 Option C replacement direction; broad legacy compatibility strategy in draft plan requires refinery correction or explicit arbitration. - **Arbitration (2026-02-09): Flatten alias/constraint semantics.** `SignatureSchema` enforces unique LM-visible names per side (input/output). Collisions after flatten are hard errors with path detail. Constraints/format metadata are attached to flattened emitted leaf paths. -- **Arbitration (2026-02-09): `CallOutcome` ergonomics.** Implement `Try`/`FromResidual` on nightly (`try_trait_v2`) and keep `into_result()` explicit conversion API. -- **Implementation decision (2026-02-09):** Keep minimal optimizer file edits in `optimizer/gepa.rs` and `optimizer/mipro.rs` because they are mechanical call-site adaptations required by `Module::forward -> CallOutcome`; no optimizer behavior changes were introduced. +- **Superseded arbitration (2026-02-09): `CallOutcome` ergonomics.** Prior plan considered `Try`/`FromResidual` on nightly (`try_trait_v2`) with `into_result()`. Superseded by `Result, PredictError>` on stable. +- **Implementation decision (2026-02-09):** Keep minimal optimizer file edits in `optimizer/gepa.rs` and `optimizer/mipro.rs` because they were mechanical call-site adaptations required by typed module invocation; no optimizer behavior changes were introduced. - **Adversarial arbitration (2026-02-09):** Accepted high-severity review finding on legacy flatten marker mismatch. Fixed by (1) emitting `FieldSchema::lm_name` keys in `schema_fields_to_value`, and (2) updating `FIELD_HEADER_PATTERN` to parse non-`\w` marker names (including dotted aliases/paths). - **Smoke test (2026-02-09):** Real LM call passed end-to-end using `cargo run -p dspy-rs --example _slice1_smoke` with `.env` `OPENAI_API_KEY` and model `openai:gpt-5.2`; typed path returned expected `answer = "smoke-ok"`. - **Arbitration result (2026-02-09):** Agreed with the single review finding and fixed it in-place (`predict.rs` legacy field-key mapping and `chat.rs` header regex). Post-fix test suite and smoke run passed. @@ -98,7 +103,7 @@ - **Slice 2 implementation (2026-02-09):** Adapter formatting uses relaxed path lookup to handle `#[facet(flatten)]` outputs whose BamlValue serialization flattens fields while parsing still expects nested paths. - **Slice 2 smoke test (2026-02-09):** Real LM calls passed end-to-end against `openai:gpt-5.2` via named examples: `cargo run -p dspy-rs --example 90-smoke-slice1-typed-predict` (`answer = smoke-ok`) and `cargo run -p dspy-rs --example 91-smoke-slice2-chain-of-thought` (`answer = smoke-ok`, reasoning populated). - **Slice 2 arbitrate (2026-02-09):** Accepted finding on legacy optimizer visibility and fixed by exposing `predictor` through `ChainOfThought::parameters()`. Re-ran Slice 2 smoke test after fix; still passes (`answer = smoke-ok`). -- **Slice 2 arbitrate (2026-02-09):** Deferred review findings on `Facet` derivation and typed `Module::forward` as cross-slice architectural alignment work; current Slice 2 deliverable remains consistent with the existing `Module` trait contract introduced in Slice 1. +- **Slice 2 arbitrate (2026-02-09):** Deferred review findings on `Facet` derivation and typed module-call contract as cross-slice architectural alignment work; current Slice 2 deliverable remains consistent with the existing `Module` trait contract introduced in Slice 1. - **Slice 2 commit (2026-02-09):** `owmrznzo` / `748368c8` — "slice2: implement augmentation + chain-of-thought module". - **Slice 3 research (2026-02-09):** Accepted recommendation that V3 requires completing F4/F12 (typed `Module` surface + generic/flatten signature authoring) and exposing schema-driven adapter building blocks; this is a high-blast-radius migration that must preserve `CallOutcome` metadata semantics. - **Slice 3 plan review (2026-02-09):** Accepted high-level sequencing (schema/derive → trait migration → adapter surface → module updates → tests), but flagged concrete type/API drift in the draft plan (non-existent symbols like `ChatMessage`/`schema_from_signature`, incorrect import ownership for `BamlType`). Refine against ground truth before implementation. diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index eb9d543f..9c689902 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -48,14 +48,14 @@ This breadboard applies the standard methodology to a **Rust library**, not a we **Resolved gaps:** - ~~No LM configuration affordance~~ → **Global default with scoped override.** LM is globally scoped (existing `GLOBAL_SETTINGS` infrastructure). `dsrs::with_lm(eval_lm, || ...)` overrides per-call via scoped context. N8 checks scoped context first, falls back to global default. Global LM configuration is existing infrastructure, not breadboarded (see External dependencies). -- ~~No batching affordance~~ → **Standalone utility, not a trait method.** `dsrs::forward_all(&module, inputs, concurrency)` → `Vec>` (Vec-of-Outcomes, not Result-of-Vec — individual failures don't abort batch). Module trait stays minimal (one method: `forward`). Rationale: a default `forward_batch` on Module forces P2 authors to reason about concurrency composition — BestOfN already runs N concurrent calls per invocation, so default batching would produce `batch_size × N` concurrent LM requests. Standalone utility keeps this concern at P1. See U48. +- ~~No batching affordance~~ → **Standalone utility, not a trait method.** `dsrs::forward_all(&module, inputs, concurrency)` → `Vec, PredictError>>` (Vec-of-Results, not Result-of-Vec — individual failures don't abort batch). Module trait stays minimal (`forward` implementation hook + default `call` wrapper). Rationale: a default `forward_batch` on Module forces P2 authors to reason about concurrency composition — BestOfN already runs N concurrent calls per invocation, so default batching would produce `batch_size × N` concurrent LM requests. Standalone utility keeps this concern at P1. See U48. - ~~Error paths underspecified~~ → `PredictError` carries raw LM response + failed field + stage + coercion detail. Error `Display` includes full LM response for iterative debugging. No separate debug API needed for V1. See U49. - ~~Container traversal silently fails~~ → N18 errors on containers with `dsrs::parameter` inner types. See architectural invariant above. - ~~Strategy swap blast radius understated~~ → Updated U16 to note output type change. - ~~N12/N13 status~~ → **Keep N13, collapse N12 into N8.** N12 (jsonish coerce) is part of the "text → BamlValue" pipeline inside N8. N13 (try_from_baml_value) is a distinct error boundary: "BamlValue → typed output." Two affordances, two error semantics (N8 failures = coercion/parsing, N13 failures = type mismatch). - ~~Missing P1→P3 handoff~~ → Added U50 (`optimizer.compile(&mut module, trainset, metric)`). Exclusive `&mut` during optimization = no concurrent `forward()`. - ~~P1→P2 cliff too sharp~~ → **Module combinators as P1 ramp.** Without combinators, a P1 user who wants to post-process output (e.g., derive a confidence score from reasoning) must jump to full `impl Module` — learning associated types, async plumbing, and the Module trait. With `.map()` / `.and_then()`, they write a closure. Added U51 (module combinators). This is the intermediate step between "use a library module" and "author your own module." -- ~~CallOutcome undecided~~ → **Locked for V1.** N8 returns `CallOutcome` by default (single calling convention). `call_with_meta` is folded into `call`. No parallel convenience API (`forward_result`, etc.). Metadata and result travel together. +- ~~Calling convention undecided~~ → **Locked for V1.** N8 returns `Result, PredictError>`. `Predicted` carries output + call metadata (like DSPy's `Prediction`) with `Deref` for direct field access and `.metadata()` for metadata access. `?` works on stable Rust without nightly `Try`. User-facing invocation is `Module::call`, while module authors implement `Module::forward` as the execution hook. **N-affordance principle:** Keep **orchestration boundaries** (N3, N8, N17, N18, N25/N26) and **error/decision boundaries** (N13, N22, N23, N24). Collapse pure pipes/transforms into their parent. Test: "can you change the implementation without changing any wiring?" If yes, it's guts, not an affordance. @@ -63,7 +63,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we - ⚠️ **P1→P2 cliff / Module combinators:** Resolved — see U51 (`.map()`, `.and_then()`) and boundary note on P1→P2. **Remaining question:** Module combinators must be Facet-transparent for the F6 walker (N18) to see through them. `Map` needs a manual Facet impl exposing `inner: M` as a field (closures are opaque to Facet derive). This is an architectural invariant on all future combinators: they must expose inner modules as struct fields, not trait objects. **Deferred (acknowledged, out of scope for V1):** -- ⚠️ **Operational policy (retries, timeouts, rate limits):** Per-call execution policy — combinators around `forward()`. P1 affordances that wire to U9. No new stores, no new coupling. Easy to add, no architectural impact. +- ⚠️ **Operational policy (retries, timeouts, rate limits):** Per-call execution policy — combinators around `call()`. P1 affordances that wire to U9. No new stores, no new coupling. Easy to add, no architectural impact. - ⚠️ **Container traversal (Vec, Option, HashMap, Box):** Walker errors on containers with `dsrs::parameter` inner types (N18). Full traversal deferred — tracked in S5. --- @@ -80,14 +80,14 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **U6** | P1 | `predict` | `Predict::::new()` | construct | → S2, → S3 | — | F5 | | **U7** | P1 | `predict` | `Predict::::builder().demo(...).instruction(...).build()` | construct | → S2, → S3, → S4 | — | F5 | | **U8** | P1 | `predict` | `Demo { input: ..., output: ... }` | construct | → U7 | — | F5 | -| **U9** | P1 | `module` | `module.forward(input).await` | call | → N3 | → U10 | F4 | -| **U10** | P1 | `module` | `CallOutcome` (single return surface; carries `Result` + metadata) | access | → U5 (Ok) | ← N8 | F4 | +| **U9** | P1 | `module` | `module.call(input).await` | call | → N3 | → U10 | F4 | +| **U10** | P1 | `module` | `Result, PredictError>` from `call` (`Predicted` carries output + metadata; Deref to output fields) | access | → U5 (Ok) | ← N8 | F4 | | **U11** | P1 | — | `result.answer` — direct field access | access | — | ← U5 | F1 | | **U12** | P1 | — | `result.reasoning` — Deref to augmented field | access | — | ← U5 | F3 | | **U13** | P1 | `library` | `ChainOfThought::::new()` | construct | → S2 (internal predict) | — | F11 | | **U14** | P1 | `library` | `ReAct::::builder().tool("name", "desc", fn).build()` | construct | → S2, → S4 | — | F11 | | **U16** | P1 | — | Strategy swap: change type annotation (e.g. `Predict` → `ChainOfThought`). **Note:** output type also changes (`QAOutput` → `WithReasoning`), breaking explicit type annotations and downstream function signatures. Compiler catches all breakage. | compile | — | — | F4 | -| **U48** | P1 | `module` | `dsrs::forward_all(&module, inputs, concurrency).await` — standalone utility. Returns `Vec>`. Individual failures don't abort batch. Module trait stays minimal (one method). | call | → N8 (×N) | → Vec\ | F4 | +| **U48** | P1 | `module` | `dsrs::forward_all(&module, inputs, concurrency).await` — standalone utility. Returns `Vec, PredictError>>`. Individual failures don't abort batch. Module trait stays minimal (`forward` hook + default `call`). | call | → N8 (×N) | → Vec\, PredictError>\> | F4 | | **U50** | P1 | `optimizer` | `optimizer.compile(&mut module, trainset, metric).await` — hands module to optimizer. Exclusive `&mut` = no concurrent forward() during optimization. This is the P1→P3 entry point. | call | → U30 (P3 entry) | → &mut module (optimized in place) | F6, F8 | | **U51** | P1 | `module` | `module.map(\|output\| transform(output))` — output transformation combinator. Constructs `Map` wrapping the original module. Also `.and_then()` for fallible transforms. P1 ramp to avoid `impl Module` for simple post-processing (e.g., derive confidence from reasoning). Map/AndThen must have manual Facet impls exposing `inner` field for N18 walker traversal. | construct | — | → Module\ | F4 | | **U49** | P1 | `module` | `PredictError` variants — `Provider { source }` (retry-worthy: network, timeout, rate limit), `Parse { raw_response, field, stage, detail }` (prompt-engineering problem). `stage` distinguishes substages within N8: `SectionParsing` (missing `[[ ## field ## ]]` markers), `Coercion` (jsonish can't parse field value), `PathAssembly` (nested structure mismatch). N13 failures use stage `TypeConversion` (BamlValue→typed output mismatch). Error Display includes full LM response text. | access | — | ← N8, ← N13 | F5, F7 | @@ -134,7 +134,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **N1** | P1 | `signature` (macro) | Proc macro expansion — generates `QAInput`, `QAOutput` structs + `impl Signature` | compile | → U4, → U5 | — | F1 | | **N2** | P1 | `signature` (macro) | Extract doc comment → `fn instructions() -> &'static str` | compile | — | → N8 | F1 | | **N3** | P1 | `schema` | `SignatureSchema::of::()` — TypeId-keyed cached derivation. Internally: walk_fields (Facet shape walk, flatten-aware), build_type_ir (TypeIR from Shape), build_output_format (OutputFormatContent). Pure pipes collapsed — swapping internals changes no wiring. | cache | → S1 | → N8, → U23–U26 | F2 | -| **N8** | P1 | `adapter` | Predict call pipeline: build_system → format_demos → format_input → lm.call → parse_sections → jsonish coerce → path assembly. Internally uses format_value, navigate_path, insert_at_path, jsonish::from_str (all collapsed — pure pipes). **Error boundary for coercion:** produces `PredictError::Parse` with raw content + field name + coercion detail when LM output doesn't parse. LM resolution: scoped context (`dsrs::with_lm`) > global default (`GLOBAL_SETTINGS`). Returns `CallOutcome` (result + metadata) as the single call surface. | call | → N3, → S2 (read demos), → N13, → LM | → U10, → U49 (on error) | F5, F7 | +| **N8** | P1 | `adapter` | Predict call pipeline: build_system → format_demos → format_input → lm.call → parse_sections → jsonish coerce → path assembly. Internally uses format_value, navigate_path, insert_at_path, jsonish::from_str (all collapsed — pure pipes). **Error boundary for coercion:** produces `PredictError::Parse` with raw content + field name + coercion detail when LM output doesn't parse. LM resolution: scoped context (`dsrs::with_lm`) > global default (`GLOBAL_SETTINGS`). Returns `Result, PredictError>` via `Module::call` (delegating to module `forward`). | call | → N3, → S2 (read demos), → N13, → LM | → U10, → U49 (on error) | F5, F7 | | **N13** | P1 | `adapter` | `O::try_from_baml_value()` — BamlValue → typed output. **Error boundary:** rejects structurally invalid BamlValue (constraint violations, missing fields). Distinct from N8 coercion errors: N8 = "couldn't understand LM text", N13 = "understood it but doesn't match expected type." | compute | — | → U10 | F7 | | | | | | | | | | | **N14** | P2 | `augmentation` (macro) | Augmentation proc macro — generates `WithX` + `Deref` + `impl Augmentation`. Includes tuple composition: `impl Augmentation for (A, B)` provides `(A, B)::Wrap = A::Wrap>` via GATs (type-level only, no code generation — collapsed from former N16). | compile | → U20 | — | F3 | @@ -180,7 +180,7 @@ U6 (Predict::new()) → initializes S2 (empty demos), S3 (None instruction) — or — U7 (builder) + U8 (Demo) → writes S2, S3, S4 -U9 (module.forward(input)) +U9 (module.call(input)) → N3 (SignatureSchema::of::()) → S1 (TypeId cache: cached or init) → N8 (adapter pipeline) → reads S2 (demos), LM from scoped context or global default @@ -188,18 +188,18 @@ U9 (module.forward(input)) → LM provider (external call) → parse sections, jsonish coerce, path assembly (all internal to N8) → N13 (try_from_baml_value — error boundary: BamlValue → typed output) - → U10 (CallOutcome) + → U10 (Result, PredictError>) → on error: U49 (PredictError with raw response + stage) U10 → U5 (typed output) → U11 (result.answer) or U12 (result.reasoning via Deref) U48 (dsrs::forward_all(&module, inputs, concurrency)) - → N8 (×N, buffer_unordered) → Vec> + → N8 (×N, buffer_unordered) → Vec, PredictError>> Individual failures don't abort the batch. U51 (module.map(|output| transform(output))) → constructs Map wrapper (no new wiring — pure value construction) - → the returned Module delegates forward() to inner via existing U9→N8 path + → the returned Module delegates call() to inner via existing U9→N8 path → Map has manual Facet impl: walker sees through to inner Predict leaves → avoids impl Module for simple post-processing (P1→P2 ramp) ``` @@ -221,7 +221,7 @@ Inside forward(), module author calls: U23 (build_system) → N3 (schema) U24 (format_input) → N8 internals (format_value, navigate_path) U26 (parse_output) → N8 internals (jsonish coerce, path assembly) → N13 - — or simply delegates to internal Predict::call() (most common path) + — or simply delegates to internal Predict::forward() (most common path) ``` ### P3 Workflow: "Discover and optimize parameters" @@ -284,7 +284,7 @@ P1 → P3: U50 (optimizer.compile(&mut module, trainset, metric)). After optimization, S2/S3 are mutated but the typed module is unchanged. P3 → P1: After optimization, &mut borrow released. - User calls U9 (module.forward()) as normal. + User calls U9 (module.call()) as normal. The module reads from S2/S3 which now contain optimized demos/instructions. No code change in P1 — optimization is invisible. @@ -339,7 +339,7 @@ V5 (optimizer) depends on V2 (needs augmented modules to test multi-level discov | U1, U2, U3 | Signature derive + markers + doc comment | Entry point | | U4, U5 | Generated QAInput / QAOutput types | Compile-time output | | U6, U7, U8 | Predict construction + builder + Demo | Module setup | -| U9, U10, U11 | forward(), CallOutcome, field access | Call and result | +| U9, U10, U11 | forward(), Predicted, field access | Call and result | | U49 | PredictError variants | Error path | | N1, N2 | Proc macro expansion, doc extraction | Compile-time mechanisms | | N3 | SignatureSchema derivation | Schema cache | @@ -357,7 +357,7 @@ struct QA { } let predict = Predict::::new(); -let result = predict.forward(QAInput { question: "What is 2+2?".into() }).await?; +let result = predict.call(QAInput { question: "What is 2+2?".into() }).await?; println!("{}", result.answer); // typed field access ``` @@ -375,7 +375,7 @@ println!("{}", result.answer); // typed field access Demo program: ```rust let cot = ChainOfThought::::new(); -let result = cot.forward(QAInput { question: "What is 2+2?".into() }).await?; +let result = cot.call(QAInput { question: "What is 2+2?".into() }).await?; println!("Reasoning: {}", result.reasoning); println!("Answer: {}", result.answer); // via Deref ``` @@ -400,9 +400,9 @@ struct SimpleRAG { impl Module for SimpleRAG { type Input = QAInput; type Output = WithReasoning; - async fn forward(&self, input: QAInput) -> Result { - let ctx = self.retrieve.forward(RetrieveInput { query: input.question.clone() }).await?; - self.answer.forward(QAWithContextInput { question: input.question, context: ctx.passages }).await + async fn forward(&self, input: QAInput) -> Result, PredictError> { + let ctx = self.retrieve.call(RetrieveInput { query: input.question.clone() }).await?; + self.answer.call(QAWithContextInput { question: input.question, context: ctx.passages }).await } } ``` @@ -424,7 +424,7 @@ Demo program: let react = ReAct::::builder() .tool("search", "Search the web", search_fn) .build(); -let result = react.forward(QAInput { question: "Who won the 2024 election?".into() }).await?; +let result = react.call(QAInput { question: "Who won the 2024 election?".into() }).await?; // Batch 10 inputs concurrently let results = dsrs::forward_all(&react, inputs, 5).await; @@ -460,7 +460,7 @@ params[0].1.set_demos_from_examples(new_demos)?; params[1].1.set_instruction("Be concise.".into()); // Verify mutations took effect -let result = module.forward(input).await?; +let result = module.call(input).await?; // Save optimized state to disk let state = dsrs::dump_state(&module); diff --git a/docs/specs/modules/calling_convention_revision.md b/docs/specs/modules/calling_convention_revision.md index c0fee0ae..de265419 100644 --- a/docs/specs/modules/calling_convention_revision.md +++ b/docs/specs/modules/calling_convention_revision.md @@ -1,7 +1,7 @@ # Calling Convention Revision: `CallOutcome` -> `Result, PredictError>` Date: 2026-02-09 -Status: Approved, pending spec updates +Status: Approved and integrated (spec updates applied 2026-02-10) Scope: Spec-only changes across `breadboard.md`, `design_reference.md`, `shapes.md` --- @@ -53,7 +53,7 @@ Key observations: 1. Output and metadata travel together on one object. 2. Field access is direct — no unwrapping, no `.into_result()`. 3. `__call__` wraps `forward` and adds token tracking. No return type difference. -4. Module composition just chains `.forward()` calls. The return value from one +4. Module composition chains `.call()` invocations. The return value from one module feeds naturally into the next. --- @@ -181,12 +181,12 @@ lm_usage on parse failures). No changes needed to the error type. ```rust // P1: Simple call — ? just works -let result = predict.forward(input).await?; +let result = predict.call(input).await?; println!("{}", result.answer); // Deref to QAOutput println!("{:?}", result.metadata().lm_usage); // metadata if you want it // P1: Chain of thought -let result = cot.forward(input).await?; +let result = cot.call(input).await?; println!("{}", result.reasoning); // Deref to WithReasoning println!("{}", result.answer); // Deref chain through WithReasoning -> QAOutput @@ -207,7 +207,7 @@ impl Module for ChainOfThought { type Output = WithReasoning; async fn forward(&self, input: S::Input) -> Result, PredictError> { - self.predictor.forward(input).await + self.predictor.call(input).await } } @@ -220,7 +220,7 @@ impl Module for ReAct { let mut merged_metadata = CallMetadata::default(); for step in 0..self.max_steps { - let action = self.action.forward(action_input).await?; + let action = self.action.call(action_input).await?; // action is Predicted // action.thought via Deref — direct field access // action.metadata() for token tracking @@ -231,7 +231,7 @@ impl Module for ReAct { trajectory.push_str(&format_step(step, &action, &observation)); } - let extract = self.extract.forward(extract_input).await?; + let extract = self.extract.call(extract_input).await?; merged_metadata.merge(extract.metadata()); Ok(Predicted::new(extract.into_inner().output, merged_metadata)) @@ -248,7 +248,7 @@ impl Module for BestOfN where M::Input: Clone { let mut best_score = f64::NEG_INFINITY; for _ in 0..self.n { - let result = self.module.forward(input.clone()).await?; + let result = self.module.call(input.clone()).await?; let score = (self.reward_fn)(&input, &result); // Deref to M::Output if score >= self.threshold { return Ok(result); @@ -271,7 +271,7 @@ impl Module for Map where M: Module, F: Fn(M::Output) -> T { type Output = T; async fn forward(&self, input: Self::Input) -> Result, PredictError> { - let result = self.inner.forward(input).await?; + let result = self.inner.call(input).await?; let (output, metadata) = result.into_parts(); Ok(Predicted::new((self.map)(output), metadata)) } @@ -294,17 +294,16 @@ pub trait DynPredictor: Send + Sync { ### What `call` vs `forward` means after this change -There is no meaningful distinction. `forward` is the Module trait method. Concrete -types may also expose `forward` directly (they already do, via the trait). There is -no separate `call` method with a different return type. +`call` is the canonical user-facing entry point. It returns +`Result, PredictError>`. -If a concrete type wants to expose extra functionality beyond what Module provides -(e.g., ReAct exposing trajectory details), it does so through its Output type or -through additional methods — not through a different calling convention. +`forward` remains the implementation hook for module authors. The default `call` +method delegates to `forward`, mirroring DSPy's model where callers invoke the +module while implementers define forward logic. -The locked decision "call_with_meta is folded into call" is superseded. There is no -`call` vs `call_with_meta` distinction because metadata always travels with the -output inside `Predicted`. The method is `forward`. That's it. +The locked decision "call_with_meta is folded into call" is still superseded: +there is no `call_with_meta` split because metadata always travels with the output +inside `Predicted`. ### What gets deleted @@ -328,16 +327,15 @@ Change to `Vec, PredictError>>`. **Location: Line 58** — "CallOutcome undecided" resolved gap. Full rewrite. Currently reads: -> N8 returns `CallOutcome` by default (single calling convention). `call_with_meta` -> is folded into `call`. No parallel convenience API (`forward_result`, etc.). -> Metadata and result travel together. +> N8 returns a metadata-first wrapper by default and treats `forward` as the +> canonical invocation path. Replace with: > N8 returns `Result, PredictError>`. `Predicted` carries output + > call metadata (like DSPy's `Prediction`), with `Deref` for direct field > access and `.metadata()` for call metadata. `?` works on stable Rust — no nightly -> `Try` trait needed. There is no `call` vs `forward` distinction; `Module::forward` -> is the single calling convention. +> `Try` trait needed. `Module::call` is the canonical user-facing entrypoint, and +> `Module::forward` remains the implementation hook. **Location: Line 84** — U10 affordance row. Change `CallOutcome` to `Predicted` and update the description @@ -372,7 +370,7 @@ Change `forward(), CallOutcome, field access` to `forward(), Predicted, field **Location: ~Line 360** — V1 demo program code block. Currently uses `?` which is correct. Verify it reads naturally: ```rust -let result = predict.forward(QAInput { question: "What is 2+2?".into() }).await?; +let result = predict.call(QAInput { question: "What is 2+2?".into() }).await?; println!("{}", result.answer); // typed field access via Deref ``` @@ -456,7 +454,7 @@ async fn forward(&self, input: S::Input) -> CallOutcome To: ```rust async fn forward(&self, input: S::Input) -> Result>, PredictError> { - self.predict.forward(input).await + self.predict.call(input).await } ``` @@ -512,21 +510,22 @@ Currently reads: > convenience call path. Replace with: -> **Single call surface**: `Module::forward` returns `Result, PredictError>`. -> `Predicted` carries output + metadata. No `call` vs `forward` distinction. +> **Single call surface**: `Module::call` returns `Result, PredictError>`. +> `Predicted` carries output + metadata. `forward` remains the implementation hook. ### `docs/plans/modules/tracker.md` Add a decision entry in the Decisions & Architectural Notes section: > **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with -> `Result, PredictError>` as the Module::forward return type. +> `Result, PredictError>` as the canonical `Module::call` return type +> (delegating to `forward`). > `Predicted` implements `Deref` for direct field access and carries > `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required > `.into_result()?` on stable Rust, violating P1 ergonomics goals. The nightly `Try` > trait (`try_trait_v2`) has no stabilization timeline. `Predicted` + `Result` -> gives DSPy-parity ergonomics on stable: `module.forward(input).await?.answer`. -> The `call` vs `forward` naming distinction is eliminated — `forward` is the single -> method. Former locked decision "call_with_meta folded into call" is superseded. +> gives DSPy-parity ergonomics on stable: `module.call(input).await?.answer`. +> `call` is canonical for users; `forward` is the implementation hook. Former locked +> decision "call_with_meta folded into call" is superseded. --- @@ -551,5 +550,5 @@ After all spec changes are made, verify: 3. **All code sketches compile conceptually** — return types match, error handling uses `?` and `Err(...)`, success uses `Ok(Predicted::new(...))`. 4. **Demo programs use `?`** — V1-V6 demo code blocks show the clean P1 experience. -5. **No "call_with_meta" or "into_result" references** remain in the spec files. +5. **No legacy split-call or `into_result` references** remain in the spec files. 6. **F4 description** in shapes.md matches the trait in design_reference.md. diff --git a/docs/specs/modules/design_reference.md b/docs/specs/modules/design_reference.md index 26e3c190..c37359c3 100644 --- a/docs/specs/modules/design_reference.md +++ b/docs/specs/modules/design_reference.md @@ -58,7 +58,7 @@ pub trait Signature: Send + Sync + 'static { Bounds: `BamlType` for jsonish coercion and value conversion. `Facet` for schema derivation. Both are derived, not manual. -Note: `from_parts`/`into_parts` were removed from the trait (S7). The current codebase uses them to combine input+output into one struct and split back apart, but with demos stored as `Demo { input: S::Input, output: S::Output }` pairs and `Predict::call()` returning `S::Output` directly, the round-trip is unnecessary. The user's `#[derive(Signature)]` still generates the combined struct for ergonomic field access, but that's a convenience on the user's type, not a trait requirement. +Note: `from_parts`/`into_parts` were removed from the trait (S7). The current codebase uses them to combine input+output into one struct and split back apart, but with demos stored as `Demo { input: S::Input, output: S::Output }` pairs and `Module::call()` returning `Result, PredictError>` (delegating to `forward`), the round-trip is unnecessary. The user's `#[derive(Signature)]` still generates the combined struct for ergonomic field access, but that's a convenience on the user's type, not a trait requirement. ### User-facing derive @@ -308,7 +308,7 @@ impl Signature for Augmented { } ``` -`Augmented` is a zero-sized type-level combinator. It exists purely to map `S::Input → A::Wrap` at the type level. Modules hold `Predict>` where demos are stored as `Demo { input: S::Input, output: A::Wrap }` pairs and `call()` returns `A::Wrap` directly. No `from_parts`/`into_parts` needed (S7). +`Augmented` is a zero-sized type-level combinator. It exists purely to map `S::Input → A::Wrap` at the type level. Modules hold `Predict>` where demos are stored as `Demo { input: S::Input, output: A::Wrap }` pairs and `forward()` returns `Result>, PredictError>`. No `from_parts`/`into_parts` needed (S7). ### How BamlType works for flatten @@ -364,11 +364,41 @@ pub trait Module: Send + Sync { type Input: BamlType + Facet + Send + Sync; type Output: BamlType + Facet + Send + Sync; - async fn forward(&self, input: Self::Input) -> CallOutcome; + async fn forward(&self, input: Self::Input) -> Result, PredictError>; + + async fn call(&self, input: Self::Input) -> Result, PredictError> { + self.forward(input).await + } } ``` -`CallOutcome` is the default return surface for N8. It carries both outcome (`Result`) and call metadata (raw response, usage, tool calls, field parse metadata). There is no separate convenience API (for example `forward_result()`); ergonomics come from trait impls on `CallOutcome` itself (`Try` when available on toolchain, otherwise at least `Deref>` + `into_result()`). +`Module::call` is the canonical user-facing entry point and returns `Result, PredictError>`. Module authors implement `forward` as the execution hook; the default `call` delegates to it. `Predicted` carries typed output and call metadata together (raw response, usage, tool calls, field parse metadata). It implements `Deref`, so output fields stay ergonomic (`result.answer`, `result.reasoning`), and metadata is available via `result.metadata()`. The outer `Result` keeps error handling idiomatic and stable: `?` works on stable Rust without nightly `Try` trait machinery. + +```rust +pub struct Predicted { + output: O, + metadata: CallMetadata, +} + +impl Deref for Predicted { + type Target = O; + fn deref(&self) -> &O { &self.output } +} + +impl Predicted { + pub fn new(output: O, metadata: CallMetadata) -> Self { + Self { output, metadata } + } + + pub fn metadata(&self) -> &CallMetadata { &self.metadata } + + pub fn into_inner(self) -> O { self.output } + + pub fn into_parts(self) -> (O, CallMetadata) { + (self.output, self.metadata) + } +} +``` Every prompting strategy implements this. The associated types make composition type-safe: @@ -378,7 +408,7 @@ struct Bad { step1: Predict, step2: Predict, // Summarize expects SummarizeInput, not QAOutput } -// step2.forward(step1_output) → type mismatch → compile error +// step2.call(step1_output) → type mismatch → compile error ``` ### Swapping strategies @@ -439,7 +469,7 @@ let predict = Predict::::builder() ```rust impl Predict { - pub async fn call(&self, input: S::Input) -> CallOutcome { + pub async fn call(&self, input: S::Input) -> Result, PredictError> { let schema = SignatureSchema::of::(); // F2: Facet-derived, cached let lm = get_global_lm(); let adapter = ChatAdapter; @@ -463,19 +493,24 @@ impl Predict { // Call LM let response = match lm.call(chat, self.tools.clone()).await { Ok(response) => response, - Err(err) => return CallOutcome::from_error(PredictError::Lm { source: err }), + Err(err) => return Err(PredictError::Lm { source: err }), }; // Parse response - let output = adapter.parse_output::(schema, &response); + let typed_output = adapter.parse_output::(schema, &response)?; - CallOutcome::from_parts( - output, + let metadata = CallMetadata::new( response.output.content().to_string(), response.usage.clone(), response.tool_calls, response.tool_executions, - ) + ); + + Ok(Predicted::new(typed_output, metadata)) + } + + pub async fn forward(&self, input: S::Input) -> Result, PredictError> { + self.call(input).await } } ``` @@ -696,7 +731,7 @@ pub trait DynPredictor: Send + Sync { fn load_state(&mut self, state: PredictState) -> Result<()>; /// Untyped forward (for dynamic graph execution) - async fn forward_untyped(&self, input: BamlValue) -> CallOutcome; + async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError>; } ``` @@ -725,14 +760,13 @@ where S::Input: BamlType, S::Output: BamlType Ok(()) } - async fn forward_untyped(&self, input: BamlValue) -> CallOutcome { - let typed_input = match S::Input::try_from_baml_value(input) { - Ok(v) => v, - Err(err) => return CallOutcome::from_error(PredictError::Conversion { source: err.into() }), - }; - self.call(typed_input) - .await - .map(|output| output.to_baml_value()) // map/into_result helper on CallOutcome + async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError> { + let typed_input = S::Input::try_from_baml_value(input) + .map_err(|err| PredictError::Conversion { source: err.into() })?; + + let result = self.call(typed_input).await?; + let (output, metadata) = result.into_parts(); + Ok(Predicted::new(output.to_baml_value(), metadata)) } } ``` @@ -758,7 +792,7 @@ pub trait DynModule: Send + Sync { fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)>; /// Execute with untyped values - async fn forward(&self, input: BamlValue) -> Result; + async fn forward(&self, input: BamlValue) -> Result, PredictError>; } ``` @@ -878,7 +912,7 @@ impl Module for ChainOfThought { type Input = S::Input; type Output = WithReasoning; - async fn forward(&self, input: S::Input) -> CallOutcome> { + async fn forward(&self, input: S::Input) -> Result>, PredictError> { self.predict.call(input).await } } @@ -902,16 +936,16 @@ where M::Input: Clone type Input = M::Input; type Output = M::Output; - async fn forward(&self, input: M::Input) -> CallOutcome { - let mut best = None; + async fn forward(&self, input: M::Input) -> Result, PredictError> { + let mut best: Option> = None; let mut best_score = f64::NEG_INFINITY; for _ in 0..self.n { - let output = self.module.forward(input.clone()).await?; - let score = (self.reward_fn)(&input, &output); - if score >= self.threshold { return CallOutcome::ok(output); } - if score > best_score { best_score = score; best = Some(output); } + let result = self.module.call(input.clone()).await?; + let score = (self.reward_fn)(&input, &result); + if score >= self.threshold { return Ok(result); } + if score > best_score { best_score = score; best = Some(result); } } - CallOutcome::from_error(PredictError::AllAttemptsFailed) + Err(PredictError::AllAttemptsFailed) } } ``` diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index d88fe3b4..1b29f4fd 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -57,7 +57,7 @@ | **F1** | **Signature trait + derive macro** — `#[derive(Signature)]` on a struct with `#[input]`/`#[output]` fields generates `Input`/`Output` helper types, implements `Signature` trait. Supports generic type parameters and `#[flatten]` for composition. Doc comments become LM instructions/descriptions. | | | **F2** | **SignatureSchema (Facet-derived, cached)** — `SignatureSchema::of::()` walks `S::Input` and `S::Output` Facet Shapes to produce an ordered flat field list with TypeIR, docs, constraints, and flatten paths. Cached in `OnceLock`. Used by adapter for prompt formatting/parsing AND by dynamic graph for edge validation. Replaces macro-emitted `FieldSpec` arrays. | | | **F3** | **Augmentation derive + combinator** — `#[derive(Augmentation)]` on a small struct (e.g. `Reasoning { reasoning: String }`) generates: a wrapper type (`WithReasoning`) with `#[flatten]` on inner + `Deref` to inner, and the `Augmentation` trait impl. `Augmented` is a generic signature combinator (same input, wrapped output). Eliminates per-augmentation signature boilerplate. | | -| **F4** | **Module trait** — `trait Module { type Input; type Output; async fn forward(&self, input) -> CallOutcome }`. `CallOutcome` is the single return surface (result + metadata), with trait-based ergonomics for `?`-style consumption so there is no parallel convenience API. All prompting strategies implement this: `Predict`, `ChainOfThought`, `ReAct`, `BestOfN`, `Refine`, user-defined modules. This is the swapping/composition interface. | | +| **F4** | **Module trait** — `trait Module { type Input; type Output; async fn forward(&self, input) -> Result, PredictError>; async fn call(&self, input) -> Result, PredictError> { self.forward(input).await } }`. `call` is the canonical user-facing entrypoint; `forward` is the implementation hook/compatibility alias. `Predicted` carries output + metadata with `Deref` for direct field access, mirroring DSPy's `Prediction` convention. `?` works directly on stable Rust because the outer return is `Result`. All prompting strategies implement this: `Predict`, `ChainOfThought`, `ReAct`, `BestOfN`, `Refine`, user-defined modules. This is the swapping/composition interface. | | | **F5** | **Predict as leaf parameter** — `Predict` holds typed demos `Vec>`, optional instruction override, tools. Only thing that calls the LM. Marked with Facet attribute `dsrs::parameter` for automatic discovery. Implements both `Module` and `DynPredictor` (type-erased optimizer interface). | | | **F6** | **Facet-powered parameter discovery** — A walker reflects over any `Facet` value, recurses through struct fields, yields `(dotted_path, &dyn DynPredictor)` for every value whose Shape carries `dsrs::parameter`. No manual traversal code. Replaces `#[derive(Optimizable)]` + `#[parameter]`. Container traversal (`Option`/`Vec`/`HashMap`/`Box`) is deferred (S5) — struct-field recursion covers all V1 library modules. | | | **F7** | **Adapter building blocks** — ChatAdapter exposes public composable functions: `build_system()`, `format_input()`, `parse_sections()`, `parse_output()`. Modules that need fine-grained control (ReAct action loop) call these directly. Standard modules go through the high-level `format_system_message_typed::()` which calls building blocks internally. All operate on `SignatureSchema` (F2). | | From 89d83af6801e9abb46835dd82d659cf439ad659f Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 16:27:59 -0800 Subject: [PATCH 11/22] slice5: implement optimizer interface with dyn predictor walker --- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 5 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 5 +- crates/dspy-rs/examples/09-gepa-sentiment.rs | 5 +- crates/dspy-rs/examples/10-gepa-llm-judge.rs | 7 +- .../94-smoke-slice5-optimizer-interface.rs | 63 ++++++ crates/dspy-rs/src/core/dyn_predictor.rs | 212 ++++++++++++++++++ crates/dspy-rs/src/core/mod.rs | 2 + crates/dspy-rs/src/optimizer/copro.rs | 62 ++--- crates/dspy-rs/src/optimizer/gepa.rs | 47 ++-- crates/dspy-rs/src/optimizer/mipro.rs | 70 ++++-- crates/dspy-rs/src/optimizer/mod.rs | 5 +- crates/dspy-rs/src/predictors/predict.rs | 89 +++++++- .../test_dyn_predictor_forward_untyped.rs | 101 +++++++++ crates/dspy-rs/tests/test_named_parameters.rs | 137 +++++++++++ .../tests/test_named_parameters_containers.rs | 62 +++++ docs/plans/modules/slice_5.md | 43 ++++ docs/plans/modules/slice_5_refinery.md | 17 ++ docs/plans/modules/slice_5_research.md | 43 ++++ docs/plans/modules/slice_5_review.md | 50 +++++ docs/plans/modules/tracker.md | 24 +- 20 files changed, 975 insertions(+), 74 deletions(-) create mode 100644 crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs create mode 100644 crates/dspy-rs/src/core/dyn_predictor.rs create mode 100644 crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs create mode 100644 crates/dspy-rs/tests/test_named_parameters.rs create mode 100644 crates/dspy-rs/tests/test_named_parameters_containers.rs create mode 100644 docs/plans/modules/slice_5.md create mode 100644 docs/plans/modules/slice_5_refinery.md create mode 100644 docs/plans/modules/slice_5_research.md create mode 100644 docs/plans/modules/slice_5_review.md diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index b9855921..acf2e7b9 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -15,6 +15,7 @@ use dspy_rs::{ LegacySignature, LmError, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, Predictor, configure, init_tracing, }; +use dspy_rs::__macro_support::bamltype::facet; #[LegacySignature(cot)] struct QASignature { @@ -27,9 +28,11 @@ struct QASignature { pub answer: String, } -#[derive(Builder, Optimizable)] +#[derive(Builder, Optimizable, facet::Facet)] +#[facet(crate = facet)] pub struct QARater { #[parameter] + #[facet(skip, opaque)] #[builder(default = LegacyPredict::new(QASignature::new()))] pub answerer: LegacyPredict, } diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index ffd6f628..c67d5f29 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -26,6 +26,7 @@ use dspy_rs::{ LmError, MIPROv2, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, Predictor, configure, example, init_tracing, }; +use dspy_rs::__macro_support::bamltype::facet; #[LegacySignature] struct QuestionAnswering { @@ -38,9 +39,11 @@ struct QuestionAnswering { pub answer: String, } -#[derive(Builder, Optimizable)] +#[derive(Builder, Optimizable, facet::Facet)] +#[facet(crate = facet)] pub struct SimpleQA { #[parameter] + #[facet(skip, opaque)] #[builder(default = LegacyPredict::new(QuestionAnswering::new()))] pub answerer: LegacyPredict, } diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index 35480a05..0e6e6da6 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -14,6 +14,7 @@ use anyhow::Result; use bon::Builder; use dspy_rs::*; +use dspy_rs::__macro_support::bamltype::facet; use dsrs_macros::{LegacySignature, Optimizable}; #[LegacySignature] @@ -30,9 +31,11 @@ struct SentimentSignature { pub reasoning: String, } -#[derive(Builder, Optimizable)] +#[derive(Builder, Optimizable, facet::Facet)] +#[facet(crate = facet)] struct SentimentAnalyzer { #[parameter] + #[facet(skip, opaque)] predictor: LegacyPredict, } diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index b8104366..90196b05 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -13,6 +13,7 @@ use anyhow::Result; use bon::Builder; use dspy_rs::*; +use dspy_rs::__macro_support::bamltype::facet; use dsrs_macros::{LegacySignature, Optimizable}; use std::sync::Arc; @@ -64,16 +65,20 @@ struct MathJudge { // Step 3: Create the main module with LLM judge // ============================================================================ -#[derive(Builder, Optimizable)] +#[derive(Builder, Optimizable, facet::Facet)] +#[facet(crate = facet)] struct MathSolver { // The main predictor we want to optimize #[parameter] + #[facet(skip, opaque)] solver: LegacyPredict, // The judge predictor (not optimized, just used for evaluation) + #[facet(skip, opaque)] judge: LegacyPredict, // LM for the judge (could be different/cheaper model) + #[facet(skip, opaque)] judge_lm: Arc, } diff --git a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs new file mode 100644 index 00000000..56b15d2f --- /dev/null +++ b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs @@ -0,0 +1,63 @@ +use anyhow::{Result, bail}; +use dspy_rs::{ + ChainOfThought, ChatAdapter, LM, PredictError, Signature, configure, named_parameters, +}; +use dspy_rs::__macro_support::bamltype::facet; + +#[derive(Signature, Clone, Debug, facet::Facet)] +#[facet(crate = facet)] +struct SmokeSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[tokio::main] +async fn main() -> Result<()> { + // Smoke Label: Slice 5 Optimizer Interface + configure( + LM::builder() + .model("openai:gpt-5.2".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let mut module = ChainOfThought::::new(); + { + let mut params = named_parameters(&mut module)?; + let paths: Vec = params.iter().map(|(path, _)| path.clone()).collect(); + println!("named_parameters: {:?}", paths); + + let (_, predictor) = params + .iter_mut() + .find(|(path, _)| path == "predictor") + .ok_or_else(|| anyhow::anyhow!("expected `predictor` path"))?; + predictor.set_instruction("Reply with exactly: smoke-ok".to_string()); + } + + let output = module + .call(SmokeSigInput { + prompt: "Return exactly smoke-ok.".to_string(), + }) + .await + .map_err(|err| { + eprintln!("slice5 smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } + anyhow::anyhow!("slice5 smoke failed") + })? + .into_inner(); + + println!("reasoning: {}", output.reasoning); + println!("answer: {}", output.answer); + + if !output.answer.to_ascii_lowercase().contains("smoke-ok") { + bail!("unexpected answer content: {}", output.answer); + } + + Ok(()) +} diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs new file mode 100644 index 00000000..ddc1a412 --- /dev/null +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -0,0 +1,212 @@ +use std::collections::{HashMap, HashSet}; +use std::sync::{Mutex, OnceLock}; + +use anyhow::Result; +use bamltype::facet_reflect::Poke; +use facet::{ConstTypeId, Def, Facet, KnownPointer, Shape, Type, UserType}; + +use crate::{BamlValue, Example, PredictError, Predicted, SignatureSchema}; + +#[async_trait::async_trait] +pub trait DynPredictor: Send + Sync { + fn schema(&self) -> &SignatureSchema; + fn instruction(&self) -> String; + fn set_instruction(&mut self, instruction: String); + fn demos_as_examples(&self) -> Vec; + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; + fn dump_state(&self) -> PredictState; + fn load_state(&mut self, state: PredictState) -> Result<()>; + async fn forward_untyped( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError>; +} + +#[derive(Clone, Debug, Default)] +pub struct PredictState { + pub demos: Vec, + pub instruction_override: Option, +} + +#[derive(Clone, Copy, Debug, facet::Facet)] +#[facet(opaque)] +pub struct PredictAccessorFns { + pub accessor: fn(*mut ()) -> *mut dyn DynPredictor, +} + +impl PartialEq for PredictAccessorFns { + fn eq(&self, other: &Self) -> bool { + std::ptr::fn_addr_eq(self.accessor, other.accessor) + } +} + +impl Eq for PredictAccessorFns {} + +static ACCESSOR_REGISTRY: OnceLock>> = + OnceLock::new(); + +pub fn register_predict_accessor( + shape: &'static Shape, + accessor: fn(*mut ()) -> *mut dyn DynPredictor, +) { + let registry = ACCESSOR_REGISTRY.get_or_init(|| Mutex::new(HashMap::new())); + let mut guard = registry.lock().expect("predict accessor registry lock poisoned"); + guard + .entry(shape.id) + .or_insert(PredictAccessorFns { accessor }); +} + +#[derive(Debug, thiserror::Error, PartialEq, Eq)] +pub enum NamedParametersError { + #[error("container `{ty}` at `{path}` contains a parameter leaf")] + Container { path: String, ty: &'static str }, + #[error("parameter marker at `{path}` is missing a registered accessor")] + MissingAttr { path: String }, +} + +#[tracing::instrument( + level = "debug", + name = "dsrs.named_parameters", + skip(module), +)] +pub fn named_parameters( + module: &mut M, +) -> std::result::Result, NamedParametersError> +where + M: for<'a> Facet<'a>, +{ + let mut raw_handles = Vec::<(String, *mut dyn DynPredictor)>::new(); + walk_value(Poke::new(module), "", &mut raw_handles)?; + + let mut handles = Vec::with_capacity(raw_handles.len()); + for (path, ptr) in raw_handles { + // SAFETY: pointers are created from a single exclusive traversal over `module`. + let handle = unsafe { &mut *ptr }; + handles.push((path, handle)); + } + + Ok(handles) +} + +fn walk_value( + mut value: Poke<'_, '_>, + path: &str, + out: &mut Vec<(String, *mut dyn DynPredictor)>, +) -> std::result::Result<(), NamedParametersError> { + let shape = value.shape(); + if is_parameter_shape(shape) { + let accessor = registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { + path: display_path(path), + })?; + let ptr = (accessor.accessor)(value.data_mut().as_mut_byte_ptr().cast::<()>()); + out.push((path.to_string(), ptr)); + return Ok(()); + } + + let mut struct_value = match value.into_struct() { + Ok(struct_value) => struct_value, + Err(_) => return Ok(()), + }; + + for idx in 0..struct_value.field_count() { + let field = struct_value.ty().fields[idx]; + if field.should_skip_deserializing() { + continue; + } + + let field_path = push_field(path, field.name); + if let Some(ty) = container_name(field.shape()) + && contains_parameter(field.shape(), &mut HashSet::new()) + { + return Err(NamedParametersError::Container { + path: field_path, + ty, + }); + } + + let child = struct_value.field(idx).map_err(|_| NamedParametersError::MissingAttr { + path: display_path(&field_path), + })?; + walk_value(child, &field_path, out)?; + } + + Ok(()) +} + +fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet) -> bool { + if is_parameter_shape(shape) { + return true; + } + + if !visiting.insert(shape.id) { + return false; + } + + let found = match shape.ty { + Type::User(UserType::Struct(struct_def)) => struct_def + .fields + .iter() + .filter(|field| !field.should_skip_deserializing()) + .any(|field| contains_parameter(field.shape(), visiting)), + _ => match shape.def { + Def::List(def) => contains_parameter(def.t(), visiting), + Def::Option(def) => contains_parameter(def.t(), visiting), + Def::Map(def) => { + contains_parameter(def.k(), visiting) || contains_parameter(def.v(), visiting) + } + Def::Array(def) => contains_parameter(def.t(), visiting), + Def::Slice(def) => contains_parameter(def.t(), visiting), + Def::Set(def) => contains_parameter(def.t(), visiting), + Def::Result(def) => { + contains_parameter(def.t(), visiting) || contains_parameter(def.e(), visiting) + } + Def::Pointer(def) => def.pointee().is_some_and(|inner| contains_parameter(inner, visiting)), + _ => false, + }, + }; + + visiting.remove(&shape.id); + found +} + +fn container_name(shape: &'static Shape) -> Option<&'static str> { + match shape.def { + Def::List(_) => Some("Vec"), + Def::Option(_) => Some("Option"), + Def::Map(_) => Some("HashMap"), + // Slice 5 guard: pointer-like wrappers cannot be safely traversed yet. + Def::Pointer(def) => Some(match def.known { + Some(KnownPointer::Box) => "Box", + Some(KnownPointer::Rc) => "Rc", + Some(KnownPointer::Arc) => "Arc", + _ => "Pointer", + }), + _ => None, + } +} + +fn is_parameter_shape(shape: &'static Shape) -> bool { + shape.type_identifier == "Predict" +} + +fn registered_accessor(shape: &'static Shape) -> Option { + let registry = ACCESSOR_REGISTRY.get()?; + let guard = registry.lock().ok()?; + guard.get(&shape.id).copied() +} + +fn push_field(path: &str, field: &str) -> String { + if path.is_empty() { + field.to_string() + } else { + format!("{path}.{field}") + } +} + +fn display_path(path: &str) -> String { + if path.is_empty() { + "".to_string() + } else { + path.to_string() + } +} diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index 956e7816..07989809 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -1,4 +1,5 @@ mod errors; +pub mod dyn_predictor; mod predicted; pub mod lm; pub mod module; @@ -9,6 +10,7 @@ pub mod signature; pub mod specials; pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; +pub use dyn_predictor::*; pub use predicted::{CallMetadata, ConstraintResult, FieldMeta, Predicted}; pub use lm::*; pub use module::*; diff --git a/crates/dspy-rs/src/optimizer/copro.rs b/crates/dspy-rs/src/optimizer/copro.rs index 83ad0dd6..5c722228 100644 --- a/crates/dspy-rs/src/optimizer/copro.rs +++ b/crates/dspy-rs/src/optimizer/copro.rs @@ -1,8 +1,10 @@ #![allow(deprecated)] use crate::{ - Evaluator, Example, LM, LegacyPredict, Module, Optimizable, Optimizer, Prediction, Predictor, - example, get_lm, + Facet, + core::{DynPredictor, named_parameters}, + Evaluator, Example, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, example, + get_lm, }; use anyhow::Result; use bon::Builder; @@ -68,36 +70,36 @@ static REFINEMENT_GENERATOR: LazyLock = LazyLock::new(|| LegacyPredict::new(GenerateInstructionGivenAttempts::new())); impl COPRO { - fn get_output_field_prefix(&self, predictor: &dyn Optimizable) -> String { - // Get the last output field's prefix/desc - let output_fields = predictor.get_signature().output_fields(); - if let Some(obj) = output_fields.as_object() - && let Some((_, field)) = obj.iter().next_back() - && let Some(desc) = field.get("desc") - { - return desc.as_str().unwrap_or("").to_string(); - } - "".to_string() + fn get_output_field_prefix(&self, predictor: &dyn DynPredictor) -> String { + predictor + .schema() + .output_fields() + .last() + .map(|field| field.docs.to_string()) + .unwrap_or_default() } } impl Optimizer for COPRO { - async fn compile( + async fn compile( &self, module: &mut M, trainset: Vec, - ) -> Result<()> { + ) -> Result<()> + where + M: Module + Evaluator + for<'a> Facet<'a>, + { if self.breadth <= 1 { return Err(anyhow::anyhow!("Breadth must be greater than 1")); } // Collect predictor information first let predictor_info: Vec<(String, String, String)> = { - let named_predictors = module.parameters(); + let mut named_predictors = named_parameters(module)?; named_predictors - .iter() + .iter_mut() .map(|(name, predictor)| { - let basic_instruction = predictor.get_signature().instruction(); + let basic_instruction = predictor.instruction(); let basic_prefix = self.get_output_field_prefix(*predictor); (name.clone(), basic_instruction, basic_prefix) }) @@ -218,9 +220,12 @@ impl Optimizer for COPRO { } else { // Update predictor with candidate { - let mut module_predictors = module.parameters(); - if let Some(predictor) = module_predictors.get_mut(predictor_name) { - predictor.update_signature_instruction(instruction.clone())?; + let mut module_predictors = named_parameters(module)?; + if let Some((_, predictor)) = module_predictors + .iter_mut() + .find(|(name, _)| name == predictor_name) + { + predictor.set_instruction(instruction.clone()); // Note: We can't update prefix without modifying the signature system // This would require extending MetaSignature trait } @@ -268,9 +273,12 @@ impl Optimizer for COPRO { .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) }) { { - let mut module_predictors = module.parameters(); - if let Some(predictor) = module_predictors.get_mut(predictor_name) { - predictor.update_signature_instruction(best.instruction.clone())?; + let mut module_predictors = named_parameters(module)?; + if let Some((_, predictor)) = module_predictors + .iter_mut() + .find(|(name, _)| name == predictor_name) + { + predictor.set_instruction(best.instruction.clone()); } } @@ -455,13 +463,13 @@ impl Optimizer for COPRO { // Update original module with best candidates if let Some((_, best_candidate)) = best_overall { - let module_predictors = module.parameters(); - for (predictor_name, predictor) in module_predictors { - if let Some(best) = evaluated_candidates.get(&predictor_name).and_then(|m| { + let mut module_predictors = named_parameters(module)?; + for (predictor_name, predictor) in &mut module_predictors { + if let Some(best) = evaluated_candidates.get(predictor_name.as_str()).and_then(|m| { m.values() .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) }) { - predictor.update_signature_instruction(best.instruction.clone())?; + predictor.set_instruction(best.instruction.clone()); } } diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index f44670e3..53516b79 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -16,7 +16,9 @@ use serde::{Deserialize, Serialize}; use std::sync::Arc; use crate::{ - Example, LM, LegacyPredict, Module, Optimizable, Optimizer, Prediction, Predictor, + Facet, + core::{DynPredictor, named_parameters}, + Example, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, evaluate::FeedbackEvaluator, example, }; use dsrs_macros::LegacySignature; @@ -51,10 +53,10 @@ pub struct GEPACandidate { impl GEPACandidate { /// Create a new candidate from a predictor - pub fn from_predictor(predictor: &dyn Optimizable, module_name: impl Into) -> Self { + pub fn from_predictor(predictor: &dyn DynPredictor, module_name: impl Into) -> Self { Self { id: 0, - instruction: predictor.get_signature().instruction(), + instruction: predictor.instruction(), module_name: module_name.into(), example_scores: Vec::new(), parent_id: None, @@ -226,16 +228,16 @@ impl GEPA { trainset: &[Example], ) -> Result where - M: Module + Optimizable + FeedbackEvaluator, + M: Module + FeedbackEvaluator + for<'a> Facet<'a>, { let mut frontier = ParetoFrontier::new(); // Collect predictor information first (to release mutable borrow) let candidate_infos: Vec = { - let predictors = module.parameters(); + let mut predictors = named_parameters(module)?; predictors - .into_iter() - .map(|(name, predictor)| GEPACandidate::from_predictor(predictor, name)) + .iter_mut() + .map(|(name, predictor)| GEPACandidate::from_predictor(*predictor, name.clone())) .collect() }; @@ -378,7 +380,7 @@ impl GEPA { impl Optimizer for GEPA { async fn compile(&self, _module: &mut M, _trainset: Vec) -> Result<()> where - M: Module + Optimizable + crate::Evaluator, + M: Module + crate::Evaluator + for<'a> Facet<'a>, { // GEPA requires FeedbackEvaluator, not just Evaluator // This is a compilation error that guides users to implement the right trait @@ -397,7 +399,7 @@ impl GEPA { trainset: Vec, ) -> Result where - M: Module + Optimizable + FeedbackEvaluator, + M: Module + FeedbackEvaluator + for<'a> Facet<'a>, { println!("GEPA: Starting reflective prompt optimization"); println!(" Iterations: {}", self.num_iterations); @@ -447,9 +449,12 @@ impl GEPA { // Apply parent instruction to module { - let mut predictors = module.parameters(); - if let Some(predictor) = predictors.get_mut(&parent.module_name) { - predictor.update_signature_instruction(parent.instruction.clone())?; + let mut predictors = named_parameters(module)?; + if let Some((_, predictor)) = predictors + .iter_mut() + .find(|(name, _)| name == &parent.module_name) + { + predictor.set_instruction(parent.instruction.clone()); } } @@ -472,9 +477,12 @@ impl GEPA { // Apply child instruction and evaluate { - let mut predictors = module.parameters(); - if let Some(predictor) = predictors.get_mut(&child.module_name) { - predictor.update_signature_instruction(child.instruction.clone())?; + let mut predictors = named_parameters(module)?; + if let Some((_, predictor)) = predictors + .iter_mut() + .find(|(name, _)| name == &child.module_name) + { + predictor.set_instruction(child.instruction.clone()); } } @@ -522,9 +530,12 @@ impl GEPA { // Apply best instruction to module { - let mut predictors = module.parameters(); - if let Some(predictor) = predictors.get_mut(&best_candidate.module_name) { - predictor.update_signature_instruction(best_candidate.instruction.clone())?; + let mut predictors = named_parameters(module)?; + if let Some((_, predictor)) = predictors + .iter_mut() + .find(|(name, _)| name == &best_candidate.module_name) + { + predictor.set_instruction(best_candidate.instruction.clone()); } } diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index dd22f55a..90de56bf 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -14,8 +14,10 @@ /// - Prompting tips library /// 3. **Evaluation & Combination**: Evaluates candidates in batches and combines best components use crate::{ - Evaluator, Example, LM, LegacyPredict, Module, Optimizable, Optimizer, Prediction, Predictor, - example, get_lm, + Facet, SignatureSchema, + core::{MetaSignature, named_parameters}, + Evaluator, Example, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, example, + get_lm, }; use anyhow::{Context, Result}; use bon::Builder; @@ -414,13 +416,14 @@ impl MIPROv2 { predictor_name: &str, ) -> Result where - M: Module + Optimizable + Evaluator, + M: Module + Evaluator + for<'a> Facet<'a>, { // Update module with candidate instruction { - let mut params = module.parameters(); - if let Some(predictor) = params.get_mut(predictor_name) { - predictor.update_signature_instruction(candidate.instruction.clone())?; + let mut params = named_parameters(module)?; + if let Some((_, predictor)) = params.iter_mut().find(|(name, _)| name == predictor_name) + { + predictor.set_instruction(candidate.instruction.clone()); // Note: Demo setting would require mutable signature access // This is a design consideration for future enhancement @@ -447,7 +450,7 @@ impl MIPROv2 { predictor_name: &str, ) -> Result where - M: Module + Optimizable + Evaluator, + M: Module + Evaluator + for<'a> Facet<'a>, { println!( "Stage 3: Evaluating {} candidates on minibatch of {} examples", @@ -489,8 +492,35 @@ impl MIPROv2 { // Helper Methods // ======================================================================== - /// Formats signature fields as a string - pub fn format_signature_fields(&self, signature: &dyn crate::core::MetaSignature) -> String { + /// Formats schema fields as a string. + pub fn format_schema_fields(&self, signature: &SignatureSchema) -> String { + let mut result = String::new(); + + result.push_str("Input Fields:\n"); + for field in signature.input_fields() { + let desc = if field.docs.is_empty() { + "No description" + } else { + field.docs.as_str() + }; + result.push_str(&format!(" - {}: {}\n", field.lm_name, desc)); + } + + result.push_str("\nOutput Fields:\n"); + for field in signature.output_fields() { + let desc = if field.docs.is_empty() { + "No description" + } else { + field.docs.as_str() + }; + result.push_str(&format!(" - {}: {}\n", field.lm_name, desc)); + } + + result + } + + /// Legacy helper retained for compatibility tests that still use MetaSignature. + pub fn format_signature_fields(&self, signature: &dyn MetaSignature) -> String { let mut result = String::new(); result.push_str("Input Fields:\n"); @@ -526,7 +556,7 @@ impl MIPROv2 { impl Optimizer for MIPROv2 { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where - M: Module + Optimizable + Evaluator, + M: Module + Evaluator + for<'a> Facet<'a>, { println!("\n=== MIPROv2 Optimization Started ==="); println!("Configuration:"); @@ -536,7 +566,10 @@ impl Optimizer for MIPROv2 { println!(" Training examples: {}", trainset.len()); // Get predictor information - let predictor_names: Vec = module.parameters().keys().cloned().collect(); + let predictor_names: Vec = named_parameters(module)? + .into_iter() + .map(|(name, _)| name) + .collect(); if predictor_names.is_empty() { return Err(anyhow::anyhow!("No optimizable parameters found in module")); @@ -554,9 +587,11 @@ impl Optimizer for MIPROv2 { // Get signature for this predictor let signature_desc = { - let params = module.parameters(); - if let Some(predictor) = params.get(&predictor_name) { - self.format_signature_fields(predictor.get_signature()) + let mut params = named_parameters(module)?; + if let Some((_, predictor)) = + params.iter_mut().find(|(name, _)| name == &predictor_name) + { + self.format_schema_fields(predictor.schema()) } else { continue; } @@ -585,9 +620,10 @@ impl Optimizer for MIPROv2 { // Apply best candidate { - let mut params = module.parameters(); - if let Some(predictor) = params.get_mut(&predictor_name) { - predictor.update_signature_instruction(best_candidate.instruction.clone())?; + let mut params = named_parameters(module)?; + if let Some((_, predictor)) = params.iter_mut().find(|(name, _)| name == &predictor_name) + { + predictor.set_instruction(best_candidate.instruction.clone()); // Note: Demo setting would require mutable signature access // This is a design consideration for future enhancement } diff --git a/crates/dspy-rs/src/optimizer/mod.rs b/crates/dspy-rs/src/optimizer/mod.rs index ef76c687..831a1dc1 100644 --- a/crates/dspy-rs/src/optimizer/mod.rs +++ b/crates/dspy-rs/src/optimizer/mod.rs @@ -9,10 +9,11 @@ pub use mipro::*; pub use pareto::*; use crate::{ - core::{Module, Optimizable}, + core::Module, data::example::Example, data::prediction::Prediction, evaluate::Evaluator, + Facet, }; use anyhow::Result; @@ -20,5 +21,5 @@ use anyhow::Result; pub trait Optimizer { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where - M: Module + Optimizable + Evaluator; + M: Module + Evaluator + for<'a> Facet<'a>; } diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 47c071bf..402ed5bc 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -9,10 +9,13 @@ use std::sync::Arc; use tracing::{debug, trace}; use crate::adapter::Adapter; -use crate::core::{MetaSignature, Module, Optimizable, Signature}; +use crate::core::{ + DynPredictor, MetaSignature, Module, Optimizable, PredictState, Signature, + register_predict_accessor, +}; use crate::{ BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, Example, FieldSchema, GLOBAL_SETTINGS, - LM, LmError, LmUsage, PredictError, Predicted, Prediction, + LM, LmError, LmUsage, PredictError, Predicted, Prediction, SignatureSchema, }; #[derive(facet::Facet)] @@ -28,6 +31,17 @@ impl Demo { } } +fn predict_dyn_accessor(value: *mut ()) -> *mut dyn DynPredictor +where + S: Signature, +{ + // SAFETY: this function is only called via `register_predict_accessor` for + // `Predict`'s own shape, so `value` points at a valid `Predict`. + let typed = unsafe { &mut *(value.cast::>()) }; + let dyn_ref: &mut dyn DynPredictor = typed; + dyn_ref as *mut dyn DynPredictor +} + #[derive(facet::Facet)] #[facet(crate = facet, opaque)] pub struct Predict { @@ -42,6 +56,10 @@ pub struct Predict { impl Predict { pub fn new() -> Self { + register_predict_accessor( + >::SHAPE, + predict_dyn_accessor::, + ); Self { tools: Vec::new(), demos: Vec::new(), @@ -268,6 +286,10 @@ impl PredictBuilder { } pub fn build(self) -> Predict { + register_predict_accessor( + as facet::Facet<'static>>::SHAPE, + predict_dyn_accessor::, + ); Predict { tools: self.tools, demos: self.demos, @@ -437,7 +459,7 @@ where impl Predict where - S: Signature + Clone, + S: Signature, S::Input: BamlType, S::Output: BamlType, { @@ -468,6 +490,63 @@ where } } +#[async_trait::async_trait] +impl DynPredictor for Predict +where + S: Signature, + S::Input: BamlType, + S::Output: BamlType, +{ + fn schema(&self) -> &SignatureSchema { + S::schema() + } + + fn instruction(&self) -> String { + self.instruction_override + .clone() + .unwrap_or_else(|| S::instruction().to_string()) + } + + fn set_instruction(&mut self, instruction: String) { + self.instruction_override = Some(instruction); + } + + fn demos_as_examples(&self) -> Vec { + self.demos + .iter() + .map(|demo| example_from_demo::(demo).expect("typed Predict demo conversion should succeed")) + .collect() + } + + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()> { + self.demos = demos + .into_iter() + .map(demo_from_example::) + .collect::>>()?; + Ok(()) + } + + fn dump_state(&self) -> PredictState { + PredictState { + demos: self.demos_as_examples(), + instruction_override: self.instruction_override.clone(), + } + } + + fn load_state(&mut self, state: PredictState) -> Result<()> { + self.set_demos_from_examples(state.demos)?; + self.instruction_override = state.instruction_override; + Ok(()) + } + + async fn forward_untyped( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError> { + Predict::forward_untyped(self, input).await + } +} + impl MetaSignature for Predict where S: Signature + Clone, @@ -530,7 +609,9 @@ where } fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - self.instruction_override = Some(instruction); + // Legacy shim kept during Slice 5 migration: optimizer callers still using + // `Optimizable` route through this while the Facet walker path rolls out. + self.set_instruction(instruction); Ok(()) } } diff --git a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs new file mode 100644 index 00000000..5e0425da --- /dev/null +++ b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs @@ -0,0 +1,101 @@ +use std::sync::LazyLock; + +use dspy_rs::{ + BamlType, ChatAdapter, LM, LMClient, Predict, Signature, TestCompletionModel, configure, + named_parameters, +}; +use dspy_rs::__macro_support::bamltype::facet; +use rig::completion::AssistantContent; +use rig::message::Text; +use tokio::sync::Mutex; + +static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); + +fn response_with_fields(fields: &[(&str, &str)]) -> String { + let mut response = String::new(); + for (name, value) in fields { + response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); + } + response.push_str("[[ ## completed ## ]]\n"); + response +} + +fn text_response(text: impl Into) -> AssistantContent { + AssistantContent::Text(Text { text: text.into() }) +} + +async fn configure_test_lm(responses: Vec) { + unsafe { + std::env::set_var("OPENAI_API_KEY", "test"); + } + + let client = TestCompletionModel::new(responses.into_iter().map(text_response)); + let lm = LM::builder() + .model("openai:gpt-4o-mini".to_string()) + .build() + .await + .unwrap() + .with_client(LMClient::Test(client)) + .await + .unwrap(); + + configure(lm, ChatAdapter {}); +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct Wrapper { + predictor: Predict, +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn dyn_predictor_forward_untyped_returns_baml_and_metadata() { + let _lock = SETTINGS_LOCK.lock().await; + let response = response_with_fields(&[("answer", "Paris")]); + configure_test_lm(vec![response.clone(), response]).await; + + let mut module = Wrapper { + predictor: Predict::::new(), + }; + let input = QAInput { + question: "What is the capital of France?".to_string(), + }; + let untyped_input = input.to_baml_value(); + + let untyped = { + let mut params = named_parameters(&mut module).expect("walker should find predictor"); + let (_, predictor) = params + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should exist"); + predictor + .forward_untyped(untyped_input) + .await + .expect("untyped call should succeed") + }; + let typed = module + .predictor + .call(input) + .await + .expect("typed call should succeed"); + + let (untyped_output, untyped_meta) = untyped.into_parts(); + let (typed_output, typed_meta) = typed.into_parts(); + + let untyped_output = QAOutput::try_from_baml_value(untyped_output) + .expect("untyped output should roundtrip to QAOutput"); + assert_eq!(untyped_output.answer, typed_output.answer); + assert!(!untyped_meta.raw_response.is_empty()); + assert_eq!(untyped_meta.raw_response, typed_meta.raw_response); +} diff --git a/crates/dspy-rs/tests/test_named_parameters.rs b/crates/dspy-rs/tests/test_named_parameters.rs new file mode 100644 index 00000000..ea830bce --- /dev/null +++ b/crates/dspy-rs/tests/test_named_parameters.rs @@ -0,0 +1,137 @@ +use std::collections::HashMap; + +use dspy_rs::{ChainOfThought, Example, Predict, Signature, named_parameters}; +use dspy_rs::__macro_support::bamltype::facet; +use serde_json::json; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct MultiLeafInner { + second: Predict, + third: Predict, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct MultiLeafModule { + first: Predict, + nested: MultiLeafInner, + fourth: Predict, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct StateRoundtripModule { + predictor: Predict, +} + +fn qa_demo(question: &str, answer: &str) -> Example { + Example::new( + HashMap::from([ + ("question".to_string(), json!(question)), + ("answer".to_string(), json!(answer)), + ]), + vec!["question".to_string()], + vec!["answer".to_string()], + ) +} + +#[test] +fn named_parameters_chain_of_thought_exposes_predictor_and_mutates_state() { + let mut module = ChainOfThought::::new(); + let mut params = named_parameters(&mut module).expect("walker should find predictor"); + + assert_eq!(params.len(), 1); + assert_eq!(params[0].0, "predictor"); + + params[0].1.set_instruction("Use short direct answers".to_string()); + assert_eq!(params[0].1.instruction(), "Use short direct answers"); + assert_eq!(params[0].1.demos_as_examples().len(), 0); + + drop(params); + + let mut roundtrip = named_parameters(&mut module).expect("walker should still succeed"); + let (_, predictor) = roundtrip + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should still be discoverable"); + assert_eq!(predictor.instruction(), "Use short direct answers"); + assert_eq!(predictor.demos_as_examples().len(), 0); +} + +#[test] +fn named_parameters_predict_dump_load_state_roundtrip() { + let mut module = StateRoundtripModule { + predictor: Predict::::new(), + }; + + let saved_state = { + let mut params = named_parameters(&mut module).expect("walker should find predictor"); + let (_, predictor) = params + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should exist"); + predictor.set_instruction("Use short direct answers".to_string()); + predictor + .set_demos_from_examples(vec![qa_demo("What is 2 + 2?", "4")]) + .expect("demo setup should succeed"); + predictor.dump_state() + }; + + let mut params = named_parameters(&mut module).expect("walker should still find predictor"); + let (_, predictor) = params + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should exist"); + predictor.set_instruction("temporary".to_string()); + predictor + .set_demos_from_examples(Vec::new()) + .expect("demo reset should succeed"); + predictor + .load_state(saved_state) + .expect("state roundtrip should succeed"); + + assert_eq!(predictor.instruction(), "Use short direct answers"); + let demos = predictor.demos_as_examples(); + assert_eq!(demos.len(), 1); + assert_eq!(demos[0].data.get("question"), Some(&json!("What is 2 + 2?"))); + assert_eq!(demos[0].data.get("answer"), Some(&json!("4"))); +} + +#[test] +fn named_parameters_multi_leaf_discovery_order_is_deterministic() { + let mut module = MultiLeafModule { + first: Predict::::new(), + nested: MultiLeafInner { + second: Predict::::new(), + third: Predict::::new(), + }, + fourth: Predict::::new(), + }; + + let expected = vec![ + "first".to_string(), + "nested.second".to_string(), + "nested.third".to_string(), + "fourth".to_string(), + ]; + + for _ in 0..32 { + let names = named_parameters(&mut module) + .expect("walker should find all leaves") + .into_iter() + .map(|(name, _)| name) + .collect::>(); + assert_eq!(names, expected); + } +} diff --git a/crates/dspy-rs/tests/test_named_parameters_containers.rs b/crates/dspy-rs/tests/test_named_parameters_containers.rs new file mode 100644 index 00000000..e6645169 --- /dev/null +++ b/crates/dspy-rs/tests/test_named_parameters_containers.rs @@ -0,0 +1,62 @@ +use dspy_rs::{NamedParametersError, Predict, Signature, named_parameters}; +use dspy_rs::__macro_support::bamltype::facet; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct ContainerModule { + predictors: Vec>, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct PointerContainerModule { + predictor: Box>, +} + +#[test] +fn named_parameters_container_error_for_vec_predict() { + let mut module = ContainerModule { + predictors: vec![Predict::::new()], + }; + + let err = match named_parameters(&mut module) { + Ok(_) => panic!("containers should error for Slice 5"), + Err(err) => err, + }; + assert_eq!( + err, + NamedParametersError::Container { + path: "predictors".to_string(), + ty: "Vec", + } + ); +} + +#[test] +fn named_parameters_container_error_for_box_predict() { + let mut module = PointerContainerModule { + predictor: Box::new(Predict::::new()), + }; + + let err = match named_parameters(&mut module) { + Ok(_) => panic!("containers should error for Slice 5"), + Err(err) => err, + }; + assert_eq!( + err, + NamedParametersError::Container { + path: "predictor".to_string(), + ty: "Box", + } + ); +} diff --git a/docs/plans/modules/slice_5.md b/docs/plans/modules/slice_5.md new file mode 100644 index 00000000..db67e78d --- /dev/null +++ b/docs/plans/modules/slice_5.md @@ -0,0 +1,43 @@ +### Summary +Slice 5 delivers the optimizer-facing half of the breadboard: the F8 `DynPredictor` trait plus the F6 `named_parameters` walker so optimizers can mutate typed `Predict` leaves without `Optimizable` plumbing, and it exposes the P1→P3 entry point `optimizer.compile(&mut module, trainset, metric)` that retains the `Evaluator`-backed metric hook (U50) while wiring through the new walker/trait plumbing described in `docs/specs/modules/breadboard.md:91-147` and `docs/specs/modules/dspy_module_system_reference/06_optimizers.md:82-181`. + +### Implementation Steps +1. Introduce the dyn-predictor core helpers. + - Files: `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` [NEW], update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:1-19` to expose it. + - Existing signature(s): `core/mod.rs` currently only re-exports `errors`, `predicted`, `lm`, `module`, `module_ext`, `schema`, `settings`, `signature`, `specials` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:1-19`). + - New signature(s): `[NEW] pub trait DynPredictor: Send + Sync { fn schema(&self) -> &SignatureSchema; fn instruction(&self) -> String; fn set_instruction(&mut self, instruction: String); fn demos_as_examples(&self) -> Vec; fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; fn dump_state(&self) -> PredictState; fn load_state(&mut self, state: PredictState) -> Result<()>; async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError>; }` plus `[NEW] pub struct PredictState { demos: Vec, instruction_override: Option }`, `[NEW] pub struct PredictAccessorFns { accessor: fn(*mut ()) -> *mut dyn DynPredictor }`, and `[NEW] pub enum NamedParametersError { Container { path: String, ty: &'static str }, MissingAttr { path: String } }` to surface the container-error requirement from `docs/specs/modules/breadboard.md:40-54`. + - Required imports: `use crate::{BamlValue, core::schema::SignatureSchema, data::example::Example, PredictError, Predicted}; use facet::{Attr, Def, Field}; use facet::define_attr_grammar;` so the new module can both describe the `dsrs::parameter` attribute (`define_attr_grammar!` from `docs/specs/modules/design_reference.md:128-134`) and house the visitor helpers. + - Other changes: capture the `#[facet(dsrs::parameter = ...)]` payload described by `docs/specs/modules/design_reference.md:605-774` by defining a typed grammar in `core/dyn_predictor.rs`, for example `facet::define_attr_grammar! { ns "dsrs"; crate_path $crate::core::dyn_predictor; pub enum Attr { Parameter(Option<&'static PredictAccessorFns>) } }`, and expose a helper to decode `PredictAccessorFns` from `&'static [facet::Attr]`. Exporting this module from `core/mod.rs` makes the walker and `Predict` implementations reachable to other crates. + +2. Upgrade `Predict` to carry the accessor payload and implement `DynPredictor`. + - Files: `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:31-535` (struct definition, `forward_untyped`, `MetaSignature`, `Optimizable`). + - Existing signature(s): `Predict` lives inside `#[derive(facet::Facet)] pub struct Predict { tools, demos, instruction_override, _marker }` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:31-41`). `forward_untyped` already exists at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`, and the `MetaSignature`/`Optimizable` shims still run at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:471-535`. + - New signature(s): add `[NEW] const ACCESSOR_FNS: PredictAccessorFns = PredictAccessorFns { accessor: Predict::::accessor };` and `[NEW] fn accessor(value: *mut ()) -> *mut dyn DynPredictor`, then attach the payload with `#[facet(dsrs::parameter = Some(&Self::ACCESSOR_FNS))]` on `Predict`. `Predict` also needs `[NEW] fn dump_state(&self) -> PredictState` / `[NEW] fn load_state(&mut self, state: PredictState) -> Result<()>` that reuse the existing `demo_from_example`/`example_from_demo` helpers (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:312-413`). Add `[NEW] impl DynPredictor for Predict` that forwards each method to the typed helpers and reuses `forward_untyped` for the async method (already implemented at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`). + - Required imports: bring `crate::core::{DynPredictor, PredictState}` and the conversion helpers from the surrounding file (`example_from_demo`, `demo_from_example`, `prediction_from_output`). `Predict::builder`, `Demo`, `CallMetadata`, etc., stay untouched. + - Other changes: keep the `MetaSignature`/`Optimizable` impls as compatibility shims but annotate them as migration debt (they will simply delegate to the new trait so current optimizer tests continue to compile, but the plan should note they are legacy paths slated for removal after V6). This avoids adding new migration scaffolding beyond what is required to keep `cargo test` green while the new flow ships. + +3. Implement the F6 walker that returns typed handles. + - Files: reuse `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` to host `[NEW] pub fn named_parameters(module: &mut M) -> Result, NamedParametersError>` plus helper `walk_fields`/`walk_value` that follow `facet::Shape::def` like `Def::Struct` and descend field order exactly as the spec demands (`docs/specs/modules/design_reference.md:546-599`). + - Existing signature(s): there is no `named_parameters` yet; discovery currently happens via `Optimizable::parameters()` chains such as `ChainOfThought::parameters` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`). + - New signature(s): `[NEW] pub fn named_parameters(module: &mut M) -> Result, NamedParametersError> where M: Module + for<'a> Facet<'a>;` with `#[tracing::instrument(level = "debug", name = "dsrs.named_parameters", skip(module))]` to expose predicate counts the same way existing `tracing` annotations do (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:57-205`). The helper will stop whenever it encounters a `Shape` that carries `dsrs::parameter`, append the accumulated dotted path (respecting struct nesting) and the attribute-decoded `PredictAccessorFns`, and return the handle cast to `&mut dyn DynPredictor`. If the recursion encounters a container with `dsrs::parameter` inside a `Vec`, `Option`, or `HashMap`, emit `NamedParametersError::Container` and add a TODO referencing S5 (`docs/specs/modules/breadboard.md:40-54`). + - Required imports: `use facet::{Def, Field}; use facet::FieldExt; use facet::Shape; use crate::{Facet, Module, DynPredictor};` plus the new attr helpers defined earlier. + - Other changes: re-export `named_parameters` from `core/mod.rs` so optimizers can call it via `crate::core::named_parameters`. Document in the plan that the walker is intentionally limited to struct fields for V5 and errors on containers so future S5 work can extend it without backtracking. + +4. Rewire the optimizer trait and implementations to use the new surface while keeping the current `Evaluator` metric surface as a temporary V5 debt item. + - Files: modify `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:11-24` (trait definition), `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/copro.rs:65-480`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mipro.rs:191-620`, and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:360-470` so every optimizer calls `named_parameters` instead of `module.parameters()`. + - Existing signature(s): `pub trait Optimizer { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Optimizable + Evaluator; }` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`). Each optimizer currently looks up predictors via `module.parameters()` before mutating them (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/copro.rs:95-276`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mipro.rs:191-385`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:446-470`). + - New signature(s): `[NEW] async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Evaluator + for<'a> Facet<'a>;` (drops `Optimizable`, adds `Facet`, keeps current Example/Prediction evaluator boundary for this slice so optimizer internals can migrate first). Internally each optimizer will call `crate::core::named_parameters(module)?` (or a helper that converts the `Vec` to a `HashMap` keyed by path) and use `DynPredictor::schema`, `instruction`, `set_instruction`, `demos_as_examples`, `set_demos_from_examples`, and `forward_untyped` instead of the legacy `MetaSignature` helpers. For example, `COPRO` will keep the existing instruction candidate loop but now calls `predictor.schema().output_fields()` instead of `predictor.get_signature().output_fields()`, and use `predictor.set_instruction(...)` via the new trait. The container of `ChainOfThought` `Optimizable` code is now unused by the new walker but remains as a migration debt shim until V6 (per `ChainOfThought::parameters` at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`). + - Required imports: add `use crate::core::{DynPredictor, named_parameters};` at the top of each optimizer file, keep `Example`, `Prediction`, `Evaluator` imports for the existing evaluation loops, and ensure `tracing` macros continue to report predictor counts. + - Other changes: arbitration outcome for this slice is to keep `Evaluator` as the `metric` provider because it already wraps `forward_all_with_progress` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/evaluate/evaluator.rs:1-34`), so U50 is satisfied via `Evaluator::metric` without adding a parallel callback argument. This is explicitly logged as migration debt against C4 typed-evaluator replacement, which is deferred to post-V5 cleanup to avoid duplicative churn while F6/F8 land. + +5. Ship regression coverage and validation notes for the new surface. + - Files: add `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters.rs`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_containers.rs`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs` (all [NEW]); optionally update `docs/specs/modules/breadboard.md`/`docs/specs/modules/design_reference.md` to reference the actual implementation once it ships. + - Existing signature(s): no tests currently cover `named_parameters`/`DynPredictor`; the only optimizer discovery tests still rely on `Optimizable` derives (`/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_optimizable.rs`). + - New signature(s): `[NEW] async fn named_parameters_chain_of_thought()` verifies `named_parameters` returns `("predictor", _)` for `ChainOfThought` and that mutating the handle’s instruction via `DynPredictor::set_instruction` changes the module’s output. `[NEW] fn named_parameters_container_error()` constructs a small `Facet` struct whose `Vec>` field triggers `NamedParametersError::Container`. `[NEW] async fn dyn_predictor_forward_untyped_returns_baml()` asserts that `DynPredictor::forward_untyped` delivers `Predicted` and preserves `CallMetadata` (reusing `Predict::forward_untyped` from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`). + - Required fixtures: reuse `ChainOfThought::::new()` for the positive test, a tiny `#[derive(Facet)] struct Container { list: Vec> }` for the container error, and a canned `BamlValue` (built from `QAInput::try_from_baml_value`) for the untyped-forward test. + - Other changes: document in the plan and tests that container errors follow `docs/specs/modules/breadboard.md:144-147`, so the error contains the offending `Vec`/`Option`/`HashMap` type and path, and leave a TODO referencing S5 for when container traversal becomes allowable. + +### Test Plan +1. `test_named_parameters_chain_of_thought` (`crates/dspy-rs/tests/test_named_parameters.rs`) — asserts `named_parameters(&mut ChainOfThought::::new())` returns a single path `"predictor"` whose handle can `set_instruction`/`instruction` and whose demos modify the underlying `Predict`. Setup: construct `ChainOfThought::::new()`, call `named_parameters`, mutate the first handle, run one forward pass, and verify the instruction override took effect. Expectation: walker returns the expected path, and the mutated instruction is reflected in the final prediction metadata. +2. `test_named_parameters_container_error` (`crates/dspy-rs/tests/test_named_parameters_containers.rs`) — asserts the walker returns `NamedParametersError::Container { path, ty }` when encountering a `Vec>` field; the path should mention the struct field name per the deterministic grammar, and `ty` should identify `Vec`. Setup: define a small `#[derive(Facet)] struct Container { #[facet(skip, opaque)] tools: Vec>; predictions: Vec> }` (with the second field carrying `dsrs::parameter` through `Predict`) and call `named_parameters` to trigger the error. Expectation: the error variant is returned rather than a panic, satisfying the S5 constraint. +3. `test_dyn_predictor_forward_untyped_returns_baml` (`crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs`) — asserts that calling `forward_untyped` on a `DynPredictor` handle returns `Predicted` whose metadata matches the typed `Predict` call. Setup: reuse the `named_parameters` call from test 1, build a `BamlValue` via `QAInput::try_from_baml_value`, and call `forward_untyped`. Expectation: the result contains `BamlValue` output, the metadata’s `CallMetadata::raw_response` is non-empty, and `Predicted::metadata()` matches the typed call’s metadata, proving the trait forwards correctly. diff --git a/docs/plans/modules/slice_5_refinery.md b/docs/plans/modules/slice_5_refinery.md new file mode 100644 index 00000000..7c4af22e --- /dev/null +++ b/docs/plans/modules/slice_5_refinery.md @@ -0,0 +1,17 @@ +Spec fidelity – FAIL +- Plan nails the core F6/F8 pieces specified in the breadboard (U30→N18 discovery, U31 handles, U32–U37 DynPredictor calls) and the design reference instructions for `PredictAccessorFns`, `named_parameters`, and the trait shape walking, which keeps the new surface aligned with the layered architecture. However, the V5/C4 requirement recorded in `docs/plans/modules/phase_4_5_cleanup_kickoff.md:62` says the typed evaluator surface must replace the legacy `Evaluator: Module` contract. The current plan still depends on that trait and the old Example/Prediction bounds for `Optimizer::compile` while keeping `Evaluator` as the metric hook. That gap needs arbitration: do we evolve `Evaluator` as part of Slice 5 or leave the switchover to the post-V5 kill pass? + +Shape compliance – PASS +- The plan follows the shape-driven logic spelled out in the design reference: the walker recurses over `facet::Shape::def` structs only, stops at `dsrs::parameter`, emits dotted paths, and errors on containers (`Vec/Option/HashMap`) per the S5 deferral contract, with a `NamedParametersError` that surfaces the offending path/type. It also wires `Predict` to the attribute grammar described around doc lines 605‑774 so `PredictAccessorFns` is stored in the shape metadata, satisfying the S2 Mechanism A expectations for typed attr payloads. + +Breadboard consistency – PASS +- Slice 5 is explicitly the optimizer interface (F6+F8) in the breadboard, and the plan keeps that flow: Step 1 defines the DynPredictor bridge, Step 3 exposes `named_parameters` (U30) via `Facet` reflection, Step 4 rewires optimizers to use the new handles while preserving the P1→P3 `optimizer.compile(&mut module, trainset, metric)` entry (U50). The plan also documents the container error contract (breadboard N18/N21–N23) and ties the tests to the narrative (container error test referencing S5, forward_untyped test for N23). + +Sequencing – PASS +- The order is logical: establish the new helper module (Step 1), upgrade `Predict` to implement `DynPredictor` (Step 2), then add the walker (Step 3) before touching the optimizer wires (Step 4), and finally layer regression tests (Step 5). Each step builds on the previous outputs so there are no hidden dependencies or mid-flight rewrites. + +API design – FAIL +- While the plan modernizes the optimizer discovery surface, it still leaves `Optimizer::compile` bounded to `Module` and the legacy `Evaluator` trait. That contradicts the C4/Iv5 edict in `phase_4_5_cleanup_kickoff.md:62`, which says the typed evaluator surface should replace that trait. We need a clear decision on whether Slice 5 must introduce the new typed evaluator interface (and, if so, how the metric hook is surfaced) or if that substitution remains a later cleanup. Without that decision the API design remains inconsistent with the documented goal. + +Over-engineering – PASS +- The plan intends to keep migrations minimal (legacy `MetaSignature`/`Optimizable` shims marked as debt and untouched beyond necessary stubs) and avoids fascicle container traversal until a concrete use case appears, matching the breadboard encouragement to favor the shortest correct path. The new tests target only the required contract (struct-field discovery, container error, forward_untyped metadata), so there is no unnecessary scaffolding or speculative wiring. diff --git a/docs/plans/modules/slice_5_research.md b/docs/plans/modules/slice_5_research.md new file mode 100644 index 00000000..798ee2f8 --- /dev/null +++ b/docs/plans/modules/slice_5_research.md @@ -0,0 +1,43 @@ +### Spec Requirements +1. **F6 / U30–U31 / N18 (docs/specs/modules/breadboard.md:91-147):** Provide `named_parameters(&mut module)` that walks the Facet shapes for every `#[facet(dsrs::parameter)]` leaf, emits deterministic dotted paths, and returns `Vec<(String, &mut dyn DynPredictor)>` so optimizers can mutate predictors inside typed modules. +2. **F8 / U32–U37 / N21–N23 (docs/specs/modules/breadboard.md:112-147; docs/specs/modules/design_reference.md:717-768):** Define the `DynPredictor` trait that exposes schema/demos/instruction/state operations plus `forward_untyped(BamlValue)`, and wire `Predict` (and future library modules) through conversions `Demo ↔ Example` and `BamlValue ↔ S::Input` so the optimizer works with untyped examples while keeping the typed state consistent. +3. **U50 (docs/specs/modules/breadboard.md:56-91, docs/specs/modules/dspy_module_system_reference/06_optimizers.md:86-181):** Surface `optimizer.compile(&mut module, trainset, metric)` as the P1→P3 entry point that takes a `Vec` trainset (and an `Evaluator`/metric callback), locks `&mut Module`, and drives discovery + optimizer mutation via the new walker + `DynPredictor` handles. + +### Existing Code Inventory +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:9-18`: `pub trait Module: Send + Sync { type Input: BamlType + for<'a> Facet<'a> + Send + Sync; type Output: BamlType + for<'a> Facet<'a> + Send + Sync; async fn forward(&self, input: Self::Input) -> Result, PredictError>; async fn call(&self, input: Self::Input) -> Result, PredictError> { self.forward(input).await } }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:81-91`: `pub trait Optimizable { fn get_signature(&self) -> &dyn MetaSignature { todo!() } fn parameters(&mut self) -> IndexMap; fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { todo!() } }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs:23-32`: `pub trait MetaSignature: Send + Sync { fn demos(&self) -> Vec; fn set_demos(&mut self, demos: Vec) -> Result<()>; fn instruction(&self) -> String; fn input_fields(&self) -> Value; fn output_fields(&self) -> Value; fn update_instruction(&mut self, instruction: String) -> Result<()>; fn append(&mut self, name: &str, value: Value) -> Result<()>; }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs:34-58`: `pub trait Signature: Send + Sync + 'static { type Input: BamlType + for<'a> Facet<'a> + Send + Sync; type Output: BamlType + for<'a> Facet<'a> + Send + Sync; fn instruction() -> &'static str; fn schema() -> &'static SignatureSchema where Self: Sized { SignatureSchema::of::() } fn input_shape() -> &'static Shape; fn output_shape() -> &'static Shape; fn input_field_metadata() -> &'static [FieldMetadataSpec]; fn output_field_metadata() -> &'static [FieldMetadataSpec]; fn output_format_content() -> &'static OutputFormatContent where Self: Sized { Self::schema().output_format() } }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:73-179`: `pub struct SignatureSchema { instruction: &'static str, input_fields: Box<[FieldSchema]>, output_fields: Box<[FieldSchema]>, output_format: Arc, }` and `impl SignatureSchema { pub fn of() -> &'static Self { ... build::() ... } fn build() -> Result { ... collect_fields(...) ... } pub fn input_fields(&self) -> &[FieldSchema]; pub fn output_fields(&self) -> &[FieldSchema]; ... }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:18-40`: `#[derive(facet::Facet)] pub struct Demo { pub input: S::Input, pub output: S::Output }` and `#[derive(facet::Facet)] pub struct Predict { #[facet(skip, opaque)] tools: Vec>, #[facet(skip, opaque)] demos: Vec>, instruction_override: Option, #[facet(skip, opaque)] _marker: PhantomData, }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:43-200`: `impl Predict { pub fn new() -> Self { ... } pub fn builder() -> PredictBuilder { ... } #[tracing::instrument(...)] pub async fn call(&self, input: S::Input) -> Result, PredictError> where S::Input: BamlType, S::Output: BamlType { ... } pub async fn forward(&self, input: S::Input) -> Result, PredictError> { self.call(input).await } }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:321-413`: conversion helpers `fn demo_from_example(example: Example) -> Result>`, `fn example_from_demo(demo: &Demo) -> Result`, and `fn prediction_from_output(output: &S::Output, lm_usage: LmUsage, node_id: Option) -> Result` that already convert between typed demos/output and the legacy `Example`/`Prediction` structs. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`: `impl Module for Predict where S: Signature + Clone, S::Input: BamlType, S::Output: BamlType { type Input = S::Input; type Output = S::Output; async fn forward(&self, input: S::Input) -> Result, PredictError> { Predict::call(self, input).await } }` and `impl Predict { pub async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError> { ... } }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:471-535`: `impl MetaSignature for Predict { fn demos(&self) -> Vec { ... } fn set_demos(&mut self, demos: Vec) -> Result<()> { ... } fn instruction(&self) -> String { ... } fn input_fields(&self) -> Value { ... } fn output_fields(&self) -> Value { ... } fn update_instruction(&mut self, instruction: String) -> Result<()> { ... } fn append(&mut self, _name: &str, _value: Value) -> Result<()> { ... } }` and `impl Optimizable for Predict { fn get_signature(&self) -> &dyn MetaSignature { self } fn parameters(&mut self) -> IndexMap { IndexMap::new() } fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { ... } }`. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`: `impl Optimizable for ChainOfThought { fn get_signature(&self) -> &dyn MetaSignature { self } fn parameters(&mut self) -> IndexMap { let mut parameters = IndexMap::new(); parameters.insert("predictor".to_string(), &mut self.predictor as &mut dyn Optimizable); parameters } fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { self.predictor.update_signature_instruction(instruction) } }`, illustrating the current manual traversal that the new walker should replace. +- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`: `pub trait Optimizer { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Optimizable + Evaluator; }` demonstrates the existing optimizer contract built on `Optimizable`/legacy metadata. + +### Gap Analysis +1. **F6 / U30–U31 / N18 (`named_parameters` walker)** + - [NEW] No `named_parameters` entry exists; current discovery relies on the old `Optimizable` trait and per-module overrides such as `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`. Implementing the Facet walker requires new visitor logic that inspects `Shape` metadata, detects `#[facet(dsrs::parameter)]`, formats deterministic dotted paths, and returns `Vec<(path, &mut dyn DynPredictor)>`. Container traversal remains deferred per S5 (errors when a Vec/Option/HashMap wraps a parameter). +2. **F8 / U32–U37 / N21–N23 (`DynPredictor` operations and conversions)** + - [NEW] The trait described in the spec does not exist yet. Implement `DynPredictor` (schema, instruction, demos, state, `forward_untyped`). `Predict` already stores demos/instruction and exposes conversions via `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:321-413`, so reuse those helpers, expand them for `dump_state`/`load_state`, and wire `Predict::forward_untyped` (`:415-468`) into the trait. `Predict` also already implements `MetaSignature`/`Optimizable` (`:471-535`), but those should be retained only for now while `DynPredictor` becomes the primary optimizer surface. +3. **U50 (`optimizer.compile` entry point)** + - [MODIFY] The current optimizer contract (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`) requires `Optimizable`/`Prediction`. Update it to accept `Module` returning `Predicted` results, replace `Optimizable` bounds with the new `named_parameters` + `DynPredictor` handles, and ensure `trainset: Vec` plus the existing `Evaluator` (metric) are still passed through. Optimizer implementations (Copro, MIPRO, GEPA) must be refactored to call `named_parameters` and mutate `DynPredictor` handles rather than `MetaSignature`, while the `optimizer.compile(&mut module, ...)` surface drives that flow (U50). + +### Patterns & Conventions +- Facet metadata is tuned using `facet` attributes; `Predict` hides non-parameter fields with `#[facet(skip, opaque)]` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:31-41`), so new discovery code should rely on those flags and emit handles only from `#[facet(dsrs::parameter)]` leaves. +- Async entry points carry `tracing::instrument` annotations (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:57-205` and `:415-468`) with structured fields; follow this style when adding `named_parameters`/`DynPredictor` helpers so optimizer logging automatically surfaces names and counts. +- Schema values are cached via `OnceLock>>` and leaked with `Box::leak` to obtain `'static` slices (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:81-134`); new code that derives `SignatureSchema` for optimizer use should reuse the same caching pattern to avoid duplicate builds. + +### Spec Ambiguities +1. **Container traversal for optimizer discovery (S5):** The spec says the walker should error on containers whose inner type carries `dsrs::parameter` (`docs/specs/modules/breadboard.md:144-146`), but the S5 spike proposes a hybrid solution when needed. For V5, assume only struct-field recursion is required and make `named_parameters` emit a clear diagnostic before descending into Vec/Option/HashMap; add a TODO referencing S5 to revisit once a real container-based module appears. +2. **`optimizer.compile` parameters (`trainset`, `metric`):** Breadboard U50 mentions `trainset`/`metric`, while the existing Rust `Optimizer` trait takes `trainset: Vec` and bounds `M: Evaluator` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`). Clarify that the metric is supplied via the existing `Evaluator` trait and the signature stays `compile(&mut module, trainset: Vec)`, with the new entry point layering on the same metric hook so downstream code does not duplicate the Python examples (docs/specs/modules/dspy_module_system_reference/06_optimizers.md:86-181). +3. **DynPredictor handle extraction (S2):** The mechanism depends on `Predict` exposing a `PredictAccessorFns` payload (`docs/specs/modules/design_reference.md:605-774`), but the spec does not spell out how to register that attribute today. Resolve by adding a `#[facet(attr = ...)]` payload in `Predict` so the walker can downcast to the accessor functions exactly like `WithAdapterFns`, and document the unsafe boundary for auditors. + +### Recommended Approach +1. **Define the optimizer bridge types:** Add a `DynPredictor` trait (schema, demos, instruction, state, `forward_untyped`) and a `PredictState` record for dump/load. Make `Predict` carry a `PredictAccessorFns` facet attribute (fn-pointer payload) and implement `DynPredictor` by reusing the conversion helpers already in `predict.rs` plus the new state getters/setters. +2. **Build the Facet walker:** Implement `named_parameters` (and helper `walk_value`) that inspects `value.shape()`, matches `Def::Struct`, recurses through fields, formats paths according to the deterministic grammar, and uses the facet accessor payload to obtain `&mut dyn DynPredictor`. Emit an error when encountering container definitions with `dsrs::parameter` until S5 is resolved. +3. **Wire optimizers to the new surface:** Update `Optimizer` trait implementations (Copro/MIPRO/GEPA) to call `named_parameters`, mutate `DynPredictor` handles (schema/demos/instruction/state), and use `forward_untyped` when they need untyped execution, instead of relying on `Optimizable`/`MetaSignature`. Keep legacy implementations around as shims until the new flow is stable. +4. **Expose `optimizer.compile` entry:** Provide the P1-facing `optimizer.compile(&mut module, trainset, metric)` hook that locks the module, fetches predictors via the walker, runs the chosen optimizer strategy, and returns after the mutator has finished. Tie the existing `Evaluator`/`Example` trainset types into this surface so the Python-inspired semantics are preserved. +5. **Validate with tests and docs:** Add unit tests that run `named_parameters` on a struct like `ChainOfThought`, verify the path list and handle mutability, and assert error behavior for container-wrapped predictors. Update docs/specs references (breadboard and design reference) to mention the new entry point and the fact that `DynPredictor` is the optimizer contract. Keep any remaining `MetaSignature`/`Optimizable` uses as compatibility snapshots until the cleanup pass after V5 + V6. diff --git a/docs/plans/modules/slice_5_review.md b/docs/plans/modules/slice_5_review.md new file mode 100644 index 00000000..505c3909 --- /dev/null +++ b/docs/plans/modules/slice_5_review.md @@ -0,0 +1,50 @@ +### Findings + +#### Finding 1 +- Severity: high +- Category: Spec fidelity +- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:181, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:45, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:45, /Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:559, /Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:605 +- Issue: F6/F8 discovery is implemented via `shape.type_identifier == "Predict"` plus a global runtime accessor registry, but ground truth requires `dsrs::parameter` shape attributes with typed payload extraction (`PredictAccessorFns`) at discovery time (S2 Mechanism A). `Predict` is not marked with `#[facet(dsrs::parameter = ...)]`, so discovery is not truly attribute-driven. +- Suggestion: Implement a `dsrs` attr grammar, attach `PredictAccessorFns` on `Predict` shape metadata, switch walker detection to attr lookup (`dsrs::parameter`), and remove constructor-time global registration as the primary mechanism. + +#### Finding 2 +- Severity: high +- Category: Breadboard consistency +- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:22, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/evaluate/evaluator.rs:7, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:68, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:91, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:230 +- Issue: U50 specifies `optimizer.compile(&mut module, trainset, metric)`, but the implemented optimizer trait has no metric argument and is coupled to `Evaluator`, which enforces `Module`. This keeps compile on the legacy IO path and blocks direct optimization of typed modules used in the V5 flow. +- Suggestion: Expose metric explicitly in `compile` (or introduce a typed evaluator surface), and decouple optimizer compile bounds from `Module` so typed modules can be optimized in place through `named_parameters` + `DynPredictor`. + +#### Finding 3 +- Severity: medium +- Category: Breadboard consistency +- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:380, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:396 +- Issue: GEPA’s `Optimizer::compile` implementation always returns an error and requires callers to use a separate `compile_with_feedback` method. This breaks the uniform U50 entrypoint contract (`optimizer.compile(...)`) across optimizers. +- Suggestion: Make `compile` functional for GEPA by expressing required feedback capability in trait bounds (or optimizer trait design), not through a runtime bailout. + +#### Finding 4 +- Severity: medium +- Category: Shape compliance +- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:172, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:118, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:163, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:40, /Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md:62 +- Issue: Container guarding is explicit for `Vec`/`Option`/`HashMap` only. `Def::Pointer` (Box-like containers) is analyzed for nested parameters in `contains_parameter`, but it is outside the error gate and has no explicit unsupported error. This leaves a gap against the documented container-hole surface that includes Box-like containers. +- Suggestion: Add explicit pointer/Box handling in the container error boundary (or explicit unsupported diagnostics) until full S5 traversal semantics are implemented. + +#### Finding 5 +- Severity: low +- Category: Maintainability +- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters.rs:15, /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_containers.rs:21, /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:63, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:319, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:445 +- Issue: Slice-5 tests validate core happy paths but do not cover full V5 behavior (notably `dump_state/load_state` persistence and richer multi-leaf discovery scenarios). +- Suggestion: Add tests for state roundtrip (`dump_state/load_state`), multi-leaf path discovery on composite modules, and deterministic path ordering across repeated traversals. + +#### Finding 6 +- Severity: low +- Category: Cleanliness +- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:82, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:550, /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_optimizable.rs:1 +- Issue: Legacy `Optimizable`/`MetaSignature` APIs remain interleaved with the new `DynPredictor` path, keeping duplicate optimization surfaces and test debt active. +- Suggestion: Isolate legacy optimizer plumbing behind explicit compatibility boundaries (feature flag or deprecated module), and define a removal checkpoint once typed optimizer compile flow is complete. + +### Summary +- High: 2 +- Medium: 2 +- Low: 2 + +Overall assessment: Slice 5 landed important scaffolding (`DynPredictor`, walker, container erroring, optimizer wiring), but it does not yet match key ground-truth contracts for F6/F8/U50. The biggest gaps are discovery mechanism fidelity (attr payload vs type-name registry) and the compile entrypoint shape for typed P1→P3 optimization. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index f98b52a3..b444da52 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -2,7 +2,7 @@ ## Current State - **Slice**: 5 (V5 optimizer interface) -- **Phase**: Plan +- **Phase**: Commit - **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` - **Roadmap**: V5 (optimizer interface) → V6 (dynamic graph) → Kill Pass (legacy deletion) @@ -11,7 +11,6 @@ ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | |----|---------|-------|-------|--------|-------| -| `019c453b-9133-7b23-bb4d-6cb001dea031` | Stupidly implementable plan for Slice 5 (optimizer interface) | 5 | Plan | In progress | Drafting `slice_5.md` with verified symbols, concrete signatures, and V5-only sequencing | ## Completed Subagents | ID | Purpose | Slice | Phase | Outcome | @@ -44,11 +43,25 @@ | `019c4478-d3ef-76b1-98e9-cbf5f4d127ec` | Apply agreed Slice 4 arbitrate fix (ReAct Facet discoverability) | 4 | Arbitrate | Completed; added `facet::Facet` derive on `ReAct` and skipped non-discoverable fields (`tools`, `max_steps`) while keeping predictor fields discoverable | Verified by `cargo check -p dspy-rs`, then re-ran targeted tests and Slice 4 smoke successfully | | `manual` | ReAct DSPy parity pass (single call surface + trajectory smoke evidence) | 4 | Implement → Smoke Test | Completed; removed public `call_with_trajectory`, kept trajectory in normal `Predicted` metadata, upgraded deterministic test to multi-tool calculator loop, and replaced smoke with GPT-5.2 calculator trajectory proof | `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder` and `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` passed | | `019c4536-e461-7792-ad3e-3c1115103a7a` | Research brief for Slice 5 (optimizer interface) | 5 | Research | Completed; created `slice_5_research.md` with V5 requirement inventory, existing optimizer/discovery surfaces, and [EXISTS]/[MODIFY]/[NEW] gaps for `DynPredictor` + walker migration | +| `019c453b-9133-7b23-bb4d-6cb001dea031` | Stupidly implementable plan for Slice 5 (optimizer interface) | 5 | Plan | Completed; created `slice_5.md` with concrete file-level steps for `DynPredictor`, Facet walker discovery, optimizer rewiring, and regression tests | +| `019c4542-56ae-73a2-bcf6-8078d6368393` | Plan refinery against ground truth for Slice 5 | 5 | Plan Refinery | Completed; created `slice_5_refinery.md`, updated `slice_5.md`, and surfaced C4 evaluator-surface arbitration for owner decision | +| `019c4564-8a9e-7e60-8c67-f45160adb26f` | Adversarial review against ground truth for Slice 5 | 5 | Adversarial Review | Completed; created `slice_5_review.md` with 6 findings (2 high, 2 medium, 2 low) and evidence paths | +| `019c456a-ec36-75e0-bc4e-f3028aca1001` | Arbitrate fixes for Slice 5 review findings | 5 | Arbitrate | Completed; fixed pointer/Box container erroring in walker and added V5 coverage for dump/load-state + deterministic multi-leaf discovery ordering | ## Decisions & Architectural Notes - **State transition (2026-02-10):** Advanced workflow to `Slice 5 / Research` after 4.5-lite completion; V5 is now the active slice. - **Slice 5 research arbitration (2026-02-10):** Accepted `slice_5_research.md` as implementation baseline. Locked V5 to struct-field walker recursion with explicit container errors (per N18 + S5 deferral), and carried forward the U50 API ambiguity (`metric` arg in breadboard vs current `Evaluator`-bound compile trait) into planning for explicit resolution. +- **Execution heuristic (2026-02-10):** For ambiguous V5 details, follow spec spirit while choosing the shortest correct implementation path; avoid adding migration scaffolding unless required for green builds, and record every shortcut as explicit cleanup debt for post-slice reconciliation. +- **Slice 5 plan review (2026-02-10):** Accepted plan direction for F6/F8 core deliverables and quick-path migration strategy; plan refinery must still arbitrate strict U50/C4 fidelity (typed evaluator replacement vs temporary `Evaluator` carryover) and concrete Facet attribute payload syntax for `PredictAccessorFns`. +- **Slice 5 plan refinery arbitration (2026-02-10):** Resolved all `NEEDS ARBITRATION` markers in `slice_5.md`. Chosen path for this slice: land F6/F8 (`DynPredictor` + walker + optimizer rewiring) with minimal churn by keeping the current `Evaluator` metric boundary temporarily, while explicitly recording C4 typed-evaluator replacement as migration debt for the cleanup pass after V5/V6. +- **Slice 5 implementation validation (2026-02-10):** `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test -p dspy-rs --lib --tests` all pass after V5 rewiring (`named_parameters`, `DynPredictor`, optimizer integrations, and new V5 regression tests). +- **Slice 5 mechanism audit (2026-02-10):** Queried Facet indexed resources via Nia to validate S2 Mechanism A (`define_attr_grammar!` + typed attr decode). Attempted direct `#[facet(dsrs::parameter = ...)]` payload path and hit compile blockers for generic function-pointer payload attachment (`E0401`) in current derive expansion. Kept registry-backed accessor mapping for this slice as the shortest correct path and recorded as migration debt for cleanup. +- **Slice 5 smoke test (2026-02-10):** Added and ran `crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs` against `openai:gpt-5.2` with `.env` loaded; walker discovered `named_parameters: [\"predictor\"]`, instruction mutation took effect, and call returned `answer: smoke-ok`. +- **Slice 5 adversarial arbitration (2026-02-10):** Agreed and fixed finding on pointer/Box container guard gap (`Def::Pointer` now errors as container when it encloses parameter leaves) and agreed on expanding V5 regression coverage (state dump/load roundtrip + deterministic multi-leaf ordering tests). +- **Slice 5 adversarial arbitration (2026-02-10):** Deferred both high findings: (1) S2 Mechanism A attr-payload discovery remains blocked by generic derive constraints in current implementation and is tracked as migration debt; (2) U50 typed metric surface (`compile(..., metric)`) remains deferred per prior C4 decision to avoid duplicate migration churn before cleanup. +- **Slice 5 adversarial arbitration (2026-02-10):** Deferred GEPA uniform-entrypoint finding and legacy surface cleanup as post-V5/V6 cleanup work; no stale `NEEDS ARBITRATION` markers remain in Slice 5 docs. +- **Slice 5 post-fix smoke rerun (2026-02-10):** Re-ran `94-smoke-slice5-optimizer-interface` against `openai:gpt-5.2` after arbitrate fixes; still passes with `answer: smoke-ok`. - **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` for typed module calls. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.call(input).await?.answer`. Canonical user entrypoint is `Module::call`; module authors implement `forward` as the hook. - **Interpretation note:** historical entries below may still reference `CallOutcome` because they log pre-revision milestones. Treat those references as superseded unless an entry explicitly says otherwise. - **Phase 4.5-lite completion (2026-02-10):** Exit gates passed. `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test` are green after C1/C5/C6 execution. @@ -129,6 +142,7 @@ - Slice 2 planning subagent produced no deliverable (`slice_2.md` missing) and had to be replaced. - Slice 2 adversarial review subagent took longer than expected; waited through multiple polls before completion. - Slice 3 research confirms V3 is not incremental polish: it requires trait-shape migration across core module/predictor surfaces and may ripple into optimizer and examples. +- S2 Mechanism A direct attr-payload implementation in generic `Predict` currently fails due derive-generated static context rejecting outer generic parameter use for accessor fn payload (`E0401`), so V5 uses a runtime accessor registry fallback. ## Open Questions @@ -136,3 +150,9 @@ - `V5 Implement`: complete walker discoverability for wrapper/combinator module trees as the canonical replacement for legacy `Optimizable` traversal. - Untyped `Example`/`Prediction` example policy and evaluator/feedback migration boundary are clarified in the kickoff doc; execution remains open under C2/C3/C4 gates. - Decision matrix and sequencing for cleanup kickoff are now centralized in `docs/plans/modules/phase_4_5_cleanup_kickoff.md`. + +## Migration Debt + +- **V5-S2 accessor fallback:** `crates/dspy-rs/src/core/dyn_predictor.rs` uses runtime `register_predict_accessor(shape.id -> fn)` plus `shape.type_identifier == "Predict"` detection instead of shape-local `dsrs::parameter` payload extraction. Exit criteria: implement attr-driven accessor payload (Mechanism A) or equivalent audited replacement without runtime registry. +- **V5-C4 evaluator bridge:** `Optimizer::compile` remains coupled to legacy `Evaluator` (`Module`) instead of typed metric surface. Exit criteria: land typed evaluator/metric entrypoint and remove legacy IO bound from optimizer compile path. +- **Legacy optimizer surfaces:** `MetaSignature`/`Optimizable` are still present as compatibility shims while DynPredictor path lands. Exit criteria: remove duplicate optimization surface once typed optimizer compile flow is complete and examples are migrated. From 36dfc247c851d597a203209bb2aa5213ea40515a Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 18:46:56 -0800 Subject: [PATCH 12/22] slice5: closure audit and advance tracker to slice6 --- docs/plans/modules/slices_closure_audit.md | 38 ++++++++++++++++++---- docs/plans/modules/tracker.md | 11 ++++--- 2 files changed, 38 insertions(+), 11 deletions(-) diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index d0b9dee7..d5a95970 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -1,7 +1,7 @@ -# Slices 1-4 Closure Audit +# Slices 1-5 Closure Audit -Date: 2026-02-09 -Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4` from `docs/specs/modules/breadboard.md`. +Date: 2026-02-10 +Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4`, `V5` from `docs/specs/modules/breadboard.md`. ## Audit Method - Re-checked `docs/specs/modules/breadboard.md` slice definitions and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints. @@ -10,7 +10,7 @@ Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4` from `docs/specs/module ## Slices 1-3 Baseline - Baseline accounting for `V1`-`V3` remains in `docs/plans/modules/slices_1_3_closure_audit.md`. -- This document extends that ledger through `V4` and updates deferred-item routing now that all four slices are implemented. +- This document extends that ledger through `V5` and updates deferred-item routing with current post-V5 status. ## Slice 4 (V4 ReAct + Operational) Accounting @@ -25,6 +25,23 @@ Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4` from `docs/specs/module Slice 4 verdict: **Implemented**. +## Slice 5 (V5 Optimizer Interface) Accounting + +| Affordance(s) | Status | Evidence | +|---|---|---| +| `U30`, `U31` Facet-powered discovery entry + handle vector (`named_parameters(&mut module) -> Vec<(String, &mut dyn DynPredictor)>`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:72`, `crates/dspy-rs/src/core/dyn_predictor.rs:91`, `crates/dspy-rs/tests/test_named_parameters.rs:50`, `crates/dspy-rs/tests/test_named_parameters.rs:112` | +| `N18` recursive struct walker with explicit container errors (`Vec`, `Option`, `HashMap`, pointer/Box-like) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:110`, `crates/dspy-rs/src/core/dyn_predictor.rs:128`, `crates/dspy-rs/src/core/dyn_predictor.rs:172`, `crates/dspy-rs/tests/test_named_parameters_containers.rs:27`, `crates/dspy-rs/tests/test_named_parameters_containers.rs:46` | +| `U32` schema access via dyn handle (`predictor.schema()`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:12`, `crates/dspy-rs/src/predictors/predict.rs:500`, `crates/dspy-rs/src/optimizer/mipro.rs:594`, `crates/dspy-rs/src/optimizer/copro.rs:73` | +| `U33`, `U34`, `N21`, `N22` demos as `Example` + typed roundtrip mutation | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:15`, `crates/dspy-rs/src/predictors/predict.rs:514`, `crates/dspy-rs/src/predictors/predict.rs:521`, `crates/dspy-rs/src/predictors/predict.rs:378`, `crates/dspy-rs/src/predictors/predict.rs:388`, `crates/dspy-rs/tests/test_named_parameters.rs:73` | +| `U35` instruction get/set through dyn handle | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:13`, `crates/dspy-rs/src/predictors/predict.rs:504`, `crates/dspy-rs/src/predictors/predict.rs:510`, `crates/dspy-rs/tests/test_named_parameters.rs:57`, `crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs:37` | +| `U36` predictor state persistence (`dump_state` / `load_state`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:17`, `crates/dspy-rs/src/predictors/predict.rs:529`, `crates/dspy-rs/src/predictors/predict.rs:536`, `crates/dspy-rs/tests/test_named_parameters.rs:73` | +| `U37`, `N23` untyped forward bridge (`forward_untyped(BamlValue)`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:19`, `crates/dspy-rs/src/predictors/predict.rs:472`, `crates/dspy-rs/src/predictors/predict.rs:542`, `crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:63` | +| Optimizer internals rewired to new surface (`named_parameters` + dyn handle mutation) | Implemented | `crates/dspy-rs/src/optimizer/copro.rs:98`, `crates/dspy-rs/src/optimizer/mipro.rs:569`, `crates/dspy-rs/src/optimizer/gepa.rs:452` | +| `U50` compile entrypoint fidelity (`optimizer.compile(&mut module, trainset, metric)`) | Deferred | Current Rust surface remains `compile(&mut module, trainset)` bound to legacy `Evaluator` (`crates/dspy-rs/src/optimizer/mod.rs:22`, `crates/dspy-rs/src/evaluate/evaluator.rs:7`). Explicit metric arg / typed evaluator migration deferred to cleanup (C4 debt). | +| `S2` Mechanism A strict fidelity (shape-local `dsrs::parameter` payload extraction) | Deferred | Current discovery uses `shape.type_identifier == \"Predict\"` + accessor registry (`crates/dspy-rs/src/core/dyn_predictor.rs:188`, `crates/dspy-rs/src/core/dyn_predictor.rs:45`). Direct generic payload attachment hit compile constraints in current derive expansion; tracked as migration debt. | + +Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; U50/C4 and strict S2 mechanism deferred with explicit cleanup targets). + ## Consolidated Deferred Ledger (Post-Implementation Cleanup) | Deferred item | Why deferred | Target phase | Exit criteria | @@ -34,6 +51,9 @@ Slice 4 verdict: **Implemented**. | `__phantom` helper-field authoring ergonomics | Generic helper phantom initialization still leaks into same-module literals | **Post-Implementation Cleanup** | No user-facing phantom initialization burden in macro tests/examples | | Option-C full legacy cutover (`MetaSignature`/`LegacyPredict`) | Legacy compatibility surfaces still active for older flows | **Post-Implementation Cleanup** | Schema-first typed path is sole default path and legacy surfaces are removed/quarantined with migration notes | | `V5` walker discoverability for additional wrappers/combinators | Deferred by earlier closure audits; only Slice 4 ReAct discoverability addressed now | **Post-Implementation Cleanup** (prep) + **V5 Implement** (completion) | Walker traverses wrapper module trees end-to-end with tests for nested combinator/module stacks | +| `V5` strict S2 mechanism (`dsrs::parameter` payload extraction) | Current generic payload attachment path is blocked in current derive expansion; registry fallback was used to keep V5 green | **Post-Implementation Cleanup** | Replace registry/type-name discovery with shape-local typed attr payload extraction or finalize audited equivalent and update spec debt note | +| `V5` U50 typed metric surface (`compile(..., metric)`) | Optimizer compile remains coupled to legacy `Evaluator` / `Example`→`Prediction` IO boundary | **Post-Implementation Cleanup** | Optimizer compile path accepts typed metric/evaluator surface and no longer requires legacy compile bounds | +| GEPA uniform compile entrypoint | `GEPA::compile` intentionally bails and redirects to `compile_with_feedback`; inconsistent with uniform U50 contract | **Post-Implementation Cleanup** | GEPA exposes a functional uniform compile surface (or officially documented trait split) without runtime bailout | ## Cleanup Kickoff Reference @@ -51,10 +71,14 @@ Use that doc as the active decision matrix for: - `U29` (`ChainOfThought` Facet discoverability) resolved in code: `crates/dspy-rs/src/modules/chain_of_thought.rs:16`. - `build_system` API/spec mismatch resolved by spec alignment to fallible return (`Result`): `docs/specs/modules/breadboard.md:101`, `docs/specs/modules/design_reference.md:583`. -## Validation During Slice 4 Closure Audit +## Validation During Slice 5 Closure Audit - `cargo check -p dspy-rs` - `cargo check -p dspy-rs --examples` -- `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder --test test_chain_of_thought_swap` +- `cargo test -p dspy-rs --lib --tests` +- `cargo test -p dspy-rs --test test_named_parameters --test test_named_parameters_containers --test test_dyn_predictor_forward_untyped` - `set -a && source .env && set +a && cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` +- `set -a && source .env && set +a && cargo run -p dspy-rs --example 94-smoke-slice5-optimizer-interface` -Observed smoke output (calculator trajectory parity pass): `tool_calls: 3`, `tool_executions: 5`, trajectory printed with `Step 1..4`, `answer: 70`. +Observed smoke outputs: +- Slice 4 calculator trajectory parity pass: `tool_calls: 3`, `tool_executions: 5`, trajectory printed with `Step 1..4`, `answer: 70`. +- Slice 5 optimizer-interface pass: `named_parameters: ["predictor"]`, instruction mutation applied, `answer: smoke-ok`. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index b444da52..7735a4a7 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,12 +1,12 @@ # Implementation Tracker ## Current State -- **Slice**: 5 (V5 optimizer interface) -- **Phase**: Commit +- **Slice**: 6 (V6 dynamic graph) +- **Phase**: Research - **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` -- **Roadmap**: V5 (optimizer interface) → V6 (dynamic graph) → Kill Pass (legacy deletion) -- **Roadmap rationale**: 4.5-lite prerequisites are complete; remaining execution follows breadboard V5→V6, then legacy deletion sweep. +- **Roadmap**: V6 (dynamic graph) → Kill Pass (legacy deletion) +- **Roadmap rationale**: V5 implementation + closure audit are complete; execution now advances to breadboard V6, then legacy deletion sweep. ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | @@ -62,6 +62,9 @@ - **Slice 5 adversarial arbitration (2026-02-10):** Deferred both high findings: (1) S2 Mechanism A attr-payload discovery remains blocked by generic derive constraints in current implementation and is tracked as migration debt; (2) U50 typed metric surface (`compile(..., metric)`) remains deferred per prior C4 decision to avoid duplicate migration churn before cleanup. - **Slice 5 adversarial arbitration (2026-02-10):** Deferred GEPA uniform-entrypoint finding and legacy surface cleanup as post-V5/V6 cleanup work; no stale `NEEDS ARBITRATION` markers remain in Slice 5 docs. - **Slice 5 post-fix smoke rerun (2026-02-10):** Re-ran `94-smoke-slice5-optimizer-interface` against `openai:gpt-5.2` after arbitrate fixes; still passes with `answer: smoke-ok`. +- **Slice 5 commit (2026-02-10):** Change `ovrlqprm` / `89d83af6` — "slice5: implement optimizer interface with dyn predictor walker". +- **Slice 5 closure audit (2026-02-10):** Updated `docs/plans/modules/slices_closure_audit.md` with V5 requirement accounting, explicit implemented/deferred classification (`U50`, S2 mechanism, GEPA entrypoint), and validation evidence including Slice 5 GPT-5.2 smoke. +- **State transition (2026-02-10):** Advanced tracker from Slice 5 closure to `Slice 6 / Research` per closure-audit transition rule (`slice < 6`). - **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` for typed module calls. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.call(input).await?.answer`. Canonical user entrypoint is `Module::call`; module authors implement `forward` as the hook. - **Interpretation note:** historical entries below may still reference `CallOutcome` because they log pre-revision milestones. Treat those references as superseded unless an entry explicitly says otherwise. - **Phase 4.5-lite completion (2026-02-10):** Exit gates passed. `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test` are green after C1/C5/C6 execution. From 52415f63f7af62d6cc89054aeda4f309101b6ee3 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 19:08:25 -0800 Subject: [PATCH 13/22] slice6: implement dynamic graph registry and execution --- Cargo.lock | 10 + crates/dspy-rs/Cargo.toml | 1 + crates/dspy-rs/examples/01-simple.rs | 9 +- .../02-module-iteration-and-updation.rs | 8 +- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 2 +- .../examples/06-other-providers-batch.rs | 8 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 2 +- crates/dspy-rs/examples/09-gepa-sentiment.rs | 2 +- crates/dspy-rs/examples/10-gepa-llm-judge.rs | 8 +- crates/dspy-rs/examples/12-tracing.rs | 8 +- .../examples/90-smoke-slice1-typed-predict.rs | 19 +- .../91-smoke-slice2-chain-of-thought.rs | 19 +- .../92-smoke-slice3-module-authoring.rs | 19 +- .../94-smoke-slice5-optimizer-interface.rs | 2 +- .../examples/95-smoke-slice6-dynamic-graph.rs | 76 ++ crates/dspy-rs/src/adapter/chat.rs | 187 +++- crates/dspy-rs/src/augmentation.rs | 7 +- crates/dspy-rs/src/core/dyn_factories.rs | 717 ++++++++++++++++ crates/dspy-rs/src/core/dyn_module.rs | 100 +++ crates/dspy-rs/src/core/dyn_predictor.rs | 117 ++- crates/dspy-rs/src/core/mod.rs | 14 +- crates/dspy-rs/src/core/predicted.rs | 4 +- crates/dspy-rs/src/core/program_graph.rs | 808 ++++++++++++++++++ crates/dspy-rs/src/core/schema.rs | 52 +- crates/dspy-rs/src/lib.rs | 2 +- .../dspy-rs/src/modules/chain_of_thought.rs | 2 +- crates/dspy-rs/src/optimizer/copro.rs | 23 +- crates/dspy-rs/src/optimizer/gepa.rs | 6 +- crates/dspy-rs/src/optimizer/mipro.rs | 9 +- crates/dspy-rs/src/optimizer/mod.rs | 6 +- crates/dspy-rs/src/predictors/predict.rs | 62 +- crates/dspy-rs/tests/test_call_outcome.rs | 4 +- .../test_dyn_predictor_forward_untyped.rs | 2 +- .../dspy-rs/tests/test_flatten_roundtrip.rs | 7 +- crates/dspy-rs/tests/test_module_ext.rs | 9 +- crates/dspy-rs/tests/test_named_parameters.rs | 11 +- .../tests/test_named_parameters_containers.rs | 2 +- .../tests/test_named_parameters_ref.rs | 53 ++ .../tests/test_program_graph_annotations.rs | 105 +++ .../tests/test_program_graph_execution.rs | 381 +++++++++ .../tests/test_program_graph_mutation.rs | 215 +++++ .../test_program_graph_projection_fit.rs | 70 ++ .../tests/test_registry_dynamic_modules.rs | 140 +++ crates/dspy-rs/tests/test_signature_schema.rs | 11 +- crates/dsrs-macros/src/lib.rs | 44 +- docs/module_system_overview.md | 153 ++++ docs/plans/modules/human_audit_fuckery.md | 3 + docs/plans/modules/slice_6.md | 662 ++++++++++++++ docs/plans/modules/slice_6_refinery.md | 51 ++ docs/plans/modules/slice_6_research.md | 563 ++++++++++++ docs/plans/modules/slice_6_review.md | 50 ++ docs/plans/modules/slices_closure_audit.md | 30 +- docs/plans/modules/tracker.md | 37 +- 53 files changed, 4716 insertions(+), 196 deletions(-) create mode 100644 crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs create mode 100644 crates/dspy-rs/src/core/dyn_factories.rs create mode 100644 crates/dspy-rs/src/core/dyn_module.rs create mode 100644 crates/dspy-rs/src/core/program_graph.rs create mode 100644 crates/dspy-rs/tests/test_named_parameters_ref.rs create mode 100644 crates/dspy-rs/tests/test_program_graph_annotations.rs create mode 100644 crates/dspy-rs/tests/test_program_graph_execution.rs create mode 100644 crates/dspy-rs/tests/test_program_graph_mutation.rs create mode 100644 crates/dspy-rs/tests/test_program_graph_projection_fit.rs create mode 100644 crates/dspy-rs/tests/test_registry_dynamic_modules.rs create mode 100644 docs/module_system_overview.md create mode 100644 docs/plans/modules/slice_6.md create mode 100644 docs/plans/modules/slice_6_refinery.md create mode 100644 docs/plans/modules/slice_6_research.md create mode 100644 docs/plans/modules/slice_6_review.md diff --git a/Cargo.lock b/Cargo.lock index b30d69d9..5735b76d 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -1161,6 +1161,7 @@ dependencies = [ "futures", "hf-hub", "indexmap", + "inventory", "kdam", "parquet", "rand 0.8.5", @@ -2162,6 +2163,15 @@ dependencies = [ "toon", ] +[[package]] +name = "inventory" +version = "0.3.21" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "bc61209c082fbeb19919bee74b176221b27223e27b65d781eb91af24eb1fb46e" +dependencies = [ + "rustversion", +] + [[package]] name = "io-uring" version = "0.7.10" diff --git a/crates/dspy-rs/Cargo.toml b/crates/dspy-rs/Cargo.toml index 4774122e..9cb4752d 100644 --- a/crates/dspy-rs/Cargo.toml +++ b/crates/dspy-rs/Cargo.toml @@ -43,6 +43,7 @@ rig-core = { git = "https://github.com/0xPlaygrounds/rig", rev="e7849df" } enum_dispatch = "0.3.13" tracing = "0.1.44" tracing-subscriber = { version = "0.3.22", features = ["env-filter", "fmt"] } +inventory = "0.3" [package.metadata.cargo-machete] ignored = ["rig-core"] diff --git a/crates/dspy-rs/examples/01-simple.rs b/crates/dspy-rs/examples/01-simple.rs index 799e3956..fc6558b8 100644 --- a/crates/dspy-rs/examples/01-simple.rs +++ b/crates/dspy-rs/examples/01-simple.rs @@ -149,7 +149,10 @@ async fn main() -> Result<()> { // Predicted carries both typed output and metadata. let result = predict.call(input).await?; println!("\nWith metadata:"); - println!(" Raw 'answer' field: {:?}", result.metadata().field_raw("answer")); + println!( + " Raw 'answer' field: {:?}", + result.metadata().field_raw("answer") + ); println!(" Token usage: {:?}", result.metadata().lm_usage); // ========================================================================= @@ -184,8 +187,8 @@ async fn main() -> Result<()> { question: "What is 2+2?".to_string(), }, QAOutput { - reasoning: - "2+2 is a basic arithmetic operation. Adding 2 to 2 gives 4.".to_string(), + reasoning: "2+2 is a basic arithmetic operation. Adding 2 to 2 gives 4." + .to_string(), answer: "4".to_string(), }, )) diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index 4eee0d38..a78ad54c 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -107,10 +107,10 @@ impl Module for QARater { }; Ok(Predicted::new( prediction! { - "answer"=> answer, - "question"=> question, - "rating"=> rating_prediction.data.get("rating").unwrap().clone(), - } + "answer"=> answer, + "question"=> question, + "rating"=> rating_prediction.data.get("rating").unwrap().clone(), + } .set_lm_usage(rating_prediction.lm_usage), CallMetadata::default(), )) diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index acf2e7b9..f8b54df7 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -10,12 +10,12 @@ Note: The `dataloaders` feature is required for loading datasets. */ use bon::Builder; +use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ COPRO, CallMetadata, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, LegacySignature, LmError, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, Predictor, configure, init_tracing, }; -use dspy_rs::__macro_support::bamltype::facet; #[LegacySignature(cot)] struct QASignature { diff --git a/crates/dspy-rs/examples/06-other-providers-batch.rs b/crates/dspy-rs/examples/06-other-providers-batch.rs index cda47689..b494a955 100644 --- a/crates/dspy-rs/examples/06-other-providers-batch.rs +++ b/crates/dspy-rs/examples/06-other-providers-batch.rs @@ -94,10 +94,10 @@ impl Module for QARater { Ok(Predicted::new( prediction! { - "answer"=> answer, - "question"=> question, - "rating"=> rating_prediction.data.get("rating").unwrap().clone(), - } + "answer"=> answer, + "question"=> question, + "rating"=> rating_prediction.data.get("rating").unwrap().clone(), + } .set_lm_usage(answer_lm_usage + rating_lm_usage), CallMetadata::default(), )) diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index c67d5f29..c3073104 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -21,12 +21,12 @@ Note: The `dataloaders` feature is required for loading datasets. use anyhow::Result; use bon::Builder; +use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ CallMetadata, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, LegacySignature, LmError, MIPROv2, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, Predictor, configure, example, init_tracing, }; -use dspy_rs::__macro_support::bamltype::facet; #[LegacySignature] struct QuestionAnswering { diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index 0e6e6da6..344d6765 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -13,8 +13,8 @@ /// ``` use anyhow::Result; use bon::Builder; -use dspy_rs::*; use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::*; use dsrs_macros::{LegacySignature, Optimizable}; #[LegacySignature] diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index 90196b05..c93ad519 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -12,8 +12,8 @@ /// ``` use anyhow::Result; use bon::Builder; -use dspy_rs::*; use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::*; use dsrs_macros::{LegacySignature, Optimizable}; use std::sync::Arc; @@ -343,11 +343,7 @@ async fn main() -> Result<()> { "expected_answer": "input" => "2" }; - let test_prediction = module - .forward(test_problem.clone()) - .await - ? - .into_inner(); + let test_prediction = module.forward(test_problem.clone()).await?.into_inner(); let test_feedback = module .feedback_metric(&test_problem, &test_prediction) .await; diff --git a/crates/dspy-rs/examples/12-tracing.rs b/crates/dspy-rs/examples/12-tracing.rs index b1ef5e8f..7b1bf50c 100644 --- a/crates/dspy-rs/examples/12-tracing.rs +++ b/crates/dspy-rs/examples/12-tracing.rs @@ -82,10 +82,10 @@ impl Module for QARater { // Final output Ok(Predicted::new( prediction! { - "answer"=> answer.value, - "question"=> question.value, - "rating"=> rating_prediction.data.get("rating").unwrap().clone(), - } + "answer"=> answer.value, + "question"=> question.value, + "rating"=> rating_prediction.data.get("rating").unwrap().clone(), + } .set_lm_usage(rating_prediction.lm_usage), CallMetadata::default(), )) diff --git a/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs b/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs index 2075cd63..7b485756 100644 --- a/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs +++ b/crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs @@ -26,14 +26,17 @@ async fn main() -> Result<()> { prompt: "Reply with exactly: smoke-ok".to_string(), }; - let output = module.call(input).await.map_err(|err| { - eprintln!("smoke call failed: {err}"); - if let PredictError::Parse { raw_response, .. } = &err { - eprintln!("raw_response: {:?}", raw_response); - } - anyhow::anyhow!("slice1 smoke failed") - })? - .into_inner(); + let output = module + .call(input) + .await + .map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } + anyhow::anyhow!("slice1 smoke failed") + })? + .into_inner(); println!("answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs b/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs index 7884da38..12b90e56 100644 --- a/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs +++ b/crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs @@ -26,14 +26,17 @@ async fn main() -> Result<()> { prompt: "Reply with exactly: smoke-ok".to_string(), }; - let output = module.call(input).await.map_err(|err| { - eprintln!("smoke call failed: {err}"); - if let PredictError::Parse { raw_response, .. } = &err { - eprintln!("raw_response: {:?}", raw_response); - } - anyhow::anyhow!("slice2 smoke failed") - })? - .into_inner(); + let output = module + .call(input) + .await + .map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } + anyhow::anyhow!("slice2 smoke failed") + })? + .into_inner(); println!("reasoning: {}", output.reasoning); println!("answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs b/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs index 803f3e4a..50da034c 100644 --- a/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs +++ b/crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs @@ -47,14 +47,17 @@ async fn main() -> Result<()> { prompt: "Reply with exactly: smoke-ok".to_string(), }; - let output = module.call(input).await.map_err(|err| { - eprintln!("smoke call failed: {err}"); - if let PredictError::Parse { raw_response, .. } = &err { - eprintln!("raw_response: {:?}", raw_response); - } - anyhow::anyhow!("slice3 smoke failed") - })? - .into_inner(); + let output = module + .call(input) + .await + .map_err(|err| { + eprintln!("smoke call failed: {err}"); + if let PredictError::Parse { raw_response, .. } = &err { + eprintln!("raw_response: {:?}", raw_response); + } + anyhow::anyhow!("slice3 smoke failed") + })? + .into_inner(); println!("answer: {}", output.answer); diff --git a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs index 56b15d2f..fc166af1 100644 --- a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs +++ b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs @@ -1,8 +1,8 @@ use anyhow::{Result, bail}; +use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ ChainOfThought, ChatAdapter, LM, PredictError, Signature, configure, named_parameters, }; -use dspy_rs::__macro_support::bamltype::facet; #[derive(Signature, Clone, Debug, facet::Facet)] #[facet(crate = facet)] diff --git a/crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs b/crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs new file mode 100644 index 00000000..3a01aa68 --- /dev/null +++ b/crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs @@ -0,0 +1,76 @@ +use anyhow::{Result, anyhow, bail}; +use dspy_rs::__macro_support::indexmap::IndexMap; +use dspy_rs::{ + BamlValue, ChatAdapter, LM, ProgramGraph, Signature, SignatureSchema, configure, registry, +}; + +#[derive(Signature, Clone, Debug)] +struct SmokeSig { + #[input] + question: String, + + #[output] + answer: String, +} + +#[tokio::main] +async fn main() -> Result<()> { + // Smoke Label: Slice 6 Dynamic Graph + configure( + LM::builder() + .model("openai:gpt-5.2".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let schema = SignatureSchema::of::(); + let mut graph = ProgramGraph::new(); + graph.add_node( + "predict", + registry::create("predict", schema, serde_json::json!({}))?, + )?; + graph.connect("input", "question", "predict", "question")?; + + { + let predict_node = graph + .nodes_mut() + .get_mut("predict") + .ok_or_else(|| anyhow!("missing `predict` node"))?; + let mut predictors = predict_node.module.predictors_mut(); + let (_, predictor) = predictors + .iter_mut() + .find(|(name, _)| *name == "predictor") + .ok_or_else(|| anyhow!("missing `predictor` leaf on dynamic node"))?; + predictor.set_instruction("Reply with exactly: smoke-ok".to_string()); + } + + let input = BamlValue::Class( + "SmokeSigInput".to_string(), + IndexMap::from([( + "question".to_string(), + BamlValue::String("Return exactly smoke-ok.".to_string()), + )]), + ); + let output = graph.execute(input).await?; + + let answer_field = schema + .output_field_by_rust("answer") + .ok_or_else(|| anyhow!("missing `answer` field in smoke schema"))?; + let answer = match schema.navigate_field(answer_field.path(), &output) { + Some(BamlValue::String(answer)) => answer.clone(), + Some(other) => { + bail!("unexpected answer type: {other:?}"); + } + None => { + bail!("missing answer in graph output"); + } + }; + println!("answer: {}", answer); + + if !answer.to_ascii_lowercase().contains("smoke-ok") { + bail!("unexpected answer content: {}", answer); + } + + Ok(()) +} diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 824a7a5d..bef0c362 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -12,6 +12,7 @@ use std::sync::{Arc, LazyLock}; use tracing::{Instrument, debug, trace}; use super::Adapter; +use crate::CallMetadata; use crate::serde_utils::get_iter_from_value; use crate::utils::cache::CacheEntry; use crate::{ @@ -19,7 +20,6 @@ use crate::{ JsonishError, LM, Message, MetaSignature, OutputFormatContent, ParseError, PredictError, Predicted, Prediction, RenderOptions, Signature, TypeIR, }; -use crate::CallMetadata; #[derive(Default, Clone)] pub struct ChatAdapter; @@ -233,10 +233,7 @@ impl ChatAdapter { self.format_task_description_schema(S::schema(), instruction_override) } - fn format_response_instructions_schema( - &self, - schema: &crate::SignatureSchema, - ) -> String { + fn format_response_instructions_schema(&self, schema: &crate::SignatureSchema) -> String { let mut output_fields = schema.output_fields().iter(); let Some(first_field) = output_fields.next() else { return "Respond with the marker for `[[ ## completed ## ]]`.".to_string(); @@ -477,10 +474,7 @@ impl ChatAdapter { Ok(system) } - fn format_field_descriptions_schema( - &self, - schema: &crate::SignatureSchema, - ) -> String { + fn format_field_descriptions_schema(&self, schema: &crate::SignatureSchema) -> String { let output_format = schema.output_format(); let mut lines = Vec::new(); @@ -514,10 +508,7 @@ impl ChatAdapter { self.format_field_descriptions_schema(S::schema()) } - fn format_field_structure_schema( - &self, - schema: &crate::SignatureSchema, - ) -> Result { + fn format_field_structure_schema(&self, schema: &crate::SignatureSchema) -> Result { let mut lines = vec![ "All interactions will be structured in the following way, with the appropriate values filled in.".to_string(), String::new(), @@ -560,11 +551,7 @@ impl ChatAdapter { self.format_input(S::schema(), input) } - pub fn format_input( - &self, - schema: &crate::SignatureSchema, - input: &I, - ) -> String + pub fn format_input(&self, schema: &crate::SignatureSchema, input: &I) -> String where I: BamlType + for<'a> facet::Facet<'a>, { @@ -587,6 +574,22 @@ impl ChatAdapter { result } + pub fn format_input_baml(&self, schema: &crate::SignatureSchema, input: &BamlValue) -> String { + let mut result = String::new(); + for field_spec in schema.input_fields() { + if let Some(value) = value_for_path_relaxed(input, field_spec.path()) { + result.push_str(&format!("[[ ## {} ## ]]\n", field_spec.lm_name)); + result.push_str(&format_baml_value_for_prompt_typed( + value, + schema.output_format(), + field_spec.format, + )); + result.push_str("\n\n"); + } + } + result + } + pub fn format_assistant_message_typed(&self, output: &S::Output) -> String where S::Output: BamlType, @@ -594,11 +597,7 @@ impl ChatAdapter { self.format_output(S::schema(), output) } - pub fn format_output( - &self, - schema: &crate::SignatureSchema, - output: &O, - ) -> String + pub fn format_output(&self, schema: &crate::SignatureSchema, output: &O) -> String where O: BamlType + for<'a> facet::Facet<'a>, { @@ -620,6 +619,26 @@ impl ChatAdapter { result } + pub fn format_output_baml( + &self, + schema: &crate::SignatureSchema, + output: &BamlValue, + ) -> String { + let mut sections = Vec::new(); + for field_spec in schema.output_fields() { + if let Some(value) = value_for_path_relaxed(output, field_spec.path()) { + sections.push(format!( + "[[ ## {} ## ]]\n{}", + field_spec.lm_name, + format_baml_value_for_prompt(value) + )); + } + } + let mut result = sections.join("\n\n"); + result.push_str("\n\n[[ ## completed ## ]]\n"); + result + } + pub fn format_demo_typed( &self, demo: &crate::predictors::Demo, @@ -833,6 +852,128 @@ impl ChatAdapter { Ok(output) } + #[allow(clippy::result_large_err)] + pub fn parse_output_baml_with_meta( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result<(BamlValue, IndexMap), ParseError> { + let content = response.content(); + let output_format = schema.output_format(); + let sections = parse_sections(&content); + + let mut metas = IndexMap::new(); + let mut errors = Vec::new(); + let mut output_map = bamltype::baml_types::BamlMap::new(); + + for field in schema.output_fields() { + let rust_name = field.rust_name.clone(); + let type_ir = field.type_ir.clone(); + + let raw_text = match sections.get(field.lm_name) { + Some(text) => text.clone(), + None => { + errors.push(ParseError::MissingField { + field: rust_name.clone(), + raw_response: content.to_string(), + }); + continue; + } + }; + + let parsed: BamlValueWithFlags = + match jsonish::from_str(output_format, &type_ir, &raw_text, true) { + Ok(value) => value, + Err(err) => { + errors.push(ParseError::CoercionFailed { + field: rust_name.clone(), + expected_type: type_ir.diagnostic_repr().to_string(), + raw_text: raw_text.clone(), + source: JsonishError::from(err), + }); + continue; + } + }; + + let baml_value: BamlValue = parsed.clone().into(); + let mut flags = Vec::new(); + collect_flags_recursive(&parsed, &mut flags); + + let mut checks = Vec::new(); + match run_user_checks(&baml_value, &type_ir) { + Ok(results) => { + for (constraint, passed) in results { + let label = constraint.label.as_deref().unwrap_or_else(|| { + if constraint.level == ConstraintLevel::Assert { + "assert" + } else { + "check" + } + }); + let expression = constraint.expression.to_string(); + if constraint.level == ConstraintLevel::Assert && !passed { + errors.push(ParseError::AssertFailed { + field: rust_name.clone(), + label: label.to_string(), + expression: expression.clone(), + value: baml_value.clone(), + }); + } + if constraint.level == ConstraintLevel::Check { + checks.push(ConstraintResult { + label: label.to_string(), + expression, + passed, + }); + } + } + } + Err(err) => { + errors.push(ParseError::ExtractionFailed { + field: rust_name.clone(), + raw_response: content.to_string(), + reason: err.to_string(), + }); + continue; + } + } + + metas.insert( + rust_name.clone(), + FieldMeta { + raw_text, + flags, + checks, + }, + ); + insert_baml_at_path(&mut output_map, field.path(), baml_value); + } + + if !errors.is_empty() { + let partial = if output_map.is_empty() { + None + } else { + Some(BamlValue::Class("DynamicOutput".to_string(), output_map)) + }; + return Err(ParseError::Multiple { errors, partial }); + } + + Ok(( + BamlValue::Class("DynamicOutput".to_string(), output_map), + metas, + )) + } + + #[allow(clippy::result_large_err)] + pub fn parse_output_baml( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result { + let (output, _) = self.parse_output_baml_with_meta(schema, response)?; + Ok(output) + } + pub fn parse_sections(content: &str) -> IndexMap { crate::adapter::chat::parse_sections(content) } diff --git a/crates/dspy-rs/src/augmentation.rs b/crates/dspy-rs/src/augmentation.rs index 227d2c42..1e890ba0 100644 --- a/crates/dspy-rs/src/augmentation.rs +++ b/crates/dspy-rs/src/augmentation.rs @@ -5,8 +5,11 @@ use crate::{BamlType, Signature}; use facet::Facet; pub trait Augmentation: Send + Sync + 'static { - type Wrap Facet<'a> + Send + Sync>: - BamlType + for<'a> Facet<'a> + Deref + Send + Sync; + type Wrap Facet<'a> + Send + Sync>: BamlType + + for<'a> Facet<'a> + + Deref + + Send + + Sync; } #[derive(Clone, Copy, Default)] diff --git a/crates/dspy-rs/src/core/dyn_factories.rs b/crates/dspy-rs/src/core/dyn_factories.rs new file mode 100644 index 00000000..aa2790b5 --- /dev/null +++ b/crates/dspy-rs/src/core/dyn_factories.rs @@ -0,0 +1,717 @@ +use std::collections::HashMap; +use std::sync::Arc; + +use anyhow::Result; +use bamltype::baml_types::{BamlMap, BamlValue}; +use bamltype::build_type_ir_from_shape; +use facet::Facet; +use rig::message::{ToolCall, ToolFunction}; +use rig::tool::ToolDyn; + +use crate::core::{ + DynModule, DynPredictor, PredictState, StrategyConfig, StrategyConfigSchema, StrategyError, + StrategyFactory, StrategyFactoryRegistration, +}; +use crate::{ + CallMetadata, Chat, ChatAdapter, ConversionError, Example, GLOBAL_SETTINGS, LmError, + PredictError, Predicted, SignatureSchema, +}; + +#[derive(Clone)] +pub struct SchemaPredictor { + schema: SignatureSchema, + demos: Vec, + instruction_override: Option, + tools: Vec>, +} + +impl SchemaPredictor { + pub fn new(schema: SignatureSchema) -> Self { + Self { + schema, + demos: Vec::new(), + instruction_override: None, + tools: Vec::new(), + } + } + + fn input_from_example(&self, example: &Example) -> Result { + baml_value_from_example_keys(&example.data, &example.input_keys) + } + + fn output_from_example(&self, example: &Example) -> Result { + baml_value_from_example_keys(&example.data, &example.output_keys) + } +} + +#[async_trait::async_trait] +impl DynPredictor for SchemaPredictor { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn instruction(&self) -> String { + self.instruction_override + .clone() + .unwrap_or_else(|| self.schema.instruction().to_string()) + } + + fn set_instruction(&mut self, instruction: String) { + self.instruction_override = Some(instruction); + } + + fn demos_as_examples(&self) -> Vec { + self.demos.clone() + } + + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()> { + self.demos = demos; + Ok(()) + } + + fn dump_state(&self) -> PredictState { + PredictState { + demos: self.demos.clone(), + instruction_override: self.instruction_override.clone(), + } + } + + fn load_state(&mut self, state: PredictState) -> Result<()> { + self.demos = state.demos; + self.instruction_override = state.instruction_override; + Ok(()) + } + + async fn forward_untyped( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError> { + let lm = { + let guard = GLOBAL_SETTINGS.read().expect("settings lock poisoned"); + let settings = guard.as_ref().expect("settings not configured"); + Arc::clone(&settings.lm) + }; + + let chat_adapter = ChatAdapter; + let system = chat_adapter + .build_system(&self.schema, self.instruction_override.as_deref()) + .map_err(|err| PredictError::Lm { + source: LmError::Provider { + provider: "internal".to_string(), + message: err.to_string(), + source: None, + }, + })?; + + let user = chat_adapter.format_input_baml(&self.schema, &input); + + let mut chat = Chat::new(vec![]); + chat.push("system", &system); + for demo in &self.demos { + let demo_input = + self.input_from_example(demo) + .map_err(|err| PredictError::Conversion { + source: crate::ConversionError::TypeMismatch { + expected: "BamlValue", + actual: err.to_string(), + }, + parsed: BamlValue::Null, + })?; + let demo_output = + self.output_from_example(demo) + .map_err(|err| PredictError::Conversion { + source: crate::ConversionError::TypeMismatch { + expected: "BamlValue", + actual: err.to_string(), + }, + parsed: BamlValue::Null, + })?; + let demo_user = chat_adapter.format_input_baml(&self.schema, &demo_input); + let demo_assistant = chat_adapter.format_output_baml(&self.schema, &demo_output); + chat.push("user", &demo_user); + chat.push("assistant", &demo_assistant); + } + chat.push("user", &user); + + let response = lm + .call(chat, self.tools.clone()) + .await + .map_err(|err| PredictError::Lm { + source: LmError::Provider { + provider: lm.model.clone(), + message: err.to_string(), + source: None, + }, + })?; + + let raw_response = response.output.content().to_string(); + let lm_usage = response.usage.clone(); + let (output, field_metas) = chat_adapter + .parse_output_baml_with_meta(&self.schema, &response.output) + .map_err(|source| PredictError::Parse { + source, + raw_response: raw_response.clone(), + lm_usage: lm_usage.clone(), + })?; + + let metadata = CallMetadata::new( + raw_response, + lm_usage, + response.tool_calls, + response.tool_executions, + None, + field_metas, + ); + + Ok(Predicted::new(output, metadata)) + } +} + +pub struct PredictDynModule { + schema: SignatureSchema, + predictor: SchemaPredictor, +} + +impl PredictDynModule { + pub fn new(schema: SignatureSchema) -> Self { + Self { + predictor: SchemaPredictor::new(schema.clone()), + schema, + } + } +} + +#[async_trait::async_trait] +impl DynModule for PredictDynModule { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { + vec![("predictor", &self.predictor)] + } + + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { + vec![("predictor", &mut self.predictor)] + } + + async fn forward( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError> { + self.predictor.forward_untyped(input).await + } +} + +pub struct ChainOfThoughtDynModule { + schema: SignatureSchema, + predictor: SchemaPredictor, +} + +impl ChainOfThoughtDynModule { + pub fn new(schema: SignatureSchema) -> Self { + Self { + predictor: SchemaPredictor::new(schema.clone()), + schema, + } + } +} + +#[async_trait::async_trait] +impl DynModule for ChainOfThoughtDynModule { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { + vec![("predictor", &self.predictor)] + } + + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { + vec![("predictor", &mut self.predictor)] + } + + async fn forward( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError> { + self.predictor.forward_untyped(input).await + } +} + +pub struct ReActDynModule { + schema: SignatureSchema, + action: SchemaPredictor, + extract: SchemaPredictor, + max_steps: usize, + tools: Vec>, +} + +impl ReActDynModule { + pub fn new(schema: SignatureSchema, max_steps: usize, tools: Vec>) -> Self { + let action_schema = react_action_schema(&schema); + let extract_schema = react_extract_schema(&schema); + Self { + action: SchemaPredictor::new(action_schema), + extract: SchemaPredictor::new(extract_schema), + schema, + max_steps, + tools, + } + } + + async fn render_tool_manifest(&self) -> String { + if self.tools.is_empty() { + return "Available tools: (none)".to_string(); + } + + let mut lines = vec!["Available tools:".to_string()]; + for tool in &self.tools { + let definition = tool.definition(String::new()).await; + lines.push(format!("- {}: {}", definition.name, definition.description)); + } + + lines.join("\n") + } + + async fn execute_tool(&self, name: &str, args: String) -> String { + let normalized = name.trim(); + + for tool in &self.tools { + let candidate = tool.name(); + if candidate.eq_ignore_ascii_case(normalized) + || normalized.contains(&candidate) + || candidate.contains(normalized) + { + return match tool.call(args).await { + Ok(result) => result, + Err(err) => format!("tool_error: {err}"), + }; + } + } + + if let Some(first_tool) = self.tools.first() { + return match first_tool.call(args).await { + Ok(result) => result, + Err(err) => format!("tool_error: {err}"), + }; + } + + format!("tool_not_found: {name}") + } + + fn is_terminal_action(action: &str) -> bool { + action.eq_ignore_ascii_case("finish") + || action.eq_ignore_ascii_case("final") + || action.eq_ignore_ascii_case("done") + } + + fn format_trace_entry( + step: usize, + thought: &str, + action: &str, + action_input: &str, + observation: Option<&str>, + ) -> String { + let observation_text = observation.unwrap_or(""); + format!( + "Step {step}\nThought: {thought}\nAction: {action}\nAction Input: {action_input}\nObservation: {observation_text}" + ) + } +} + +#[async_trait::async_trait] +impl DynModule for ReActDynModule { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { + vec![("action", &self.action), ("extract", &self.extract)] + } + + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { + vec![("action", &mut self.action), ("extract", &mut self.extract)] + } + + async fn forward( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError> { + let serialized_input = serde_json::to_string(&input) + .unwrap_or_else(|_| "".to_string()); + + let tool_manifest = self.render_tool_manifest().await; + let mut trajectory_text = tool_manifest.clone(); + trajectory_text.push_str("\n\n"); + + let mut tool_calls = Vec::::new(); + let mut tool_executions = vec![tool_manifest]; + + for step in 0..self.max_steps { + let action_input = baml_class([ + ("input", BamlValue::String(serialized_input.clone())), + ("trajectory", BamlValue::String(trajectory_text.clone())), + ]); + + let action_predicted = self.action.forward_untyped(action_input).await?; + let (action_output, mut action_metadata) = action_predicted.into_parts(); + tool_calls.append(&mut action_metadata.tool_calls); + tool_executions.append(&mut action_metadata.tool_executions); + + let thought = required_string_output(&self.action, &action_output, "thought")?; + let action = required_string_output(&self.action, &action_output, "action")?; + let action_input = + required_string_output(&self.action, &action_output, "action_input")?; + + let action_name = action + .trim() + .trim_matches('"') + .trim_matches('\'') + .to_string(); + + if Self::is_terminal_action(&action_name) { + let trace = + Self::format_trace_entry(step + 1, &thought, &action_name, &action_input, None); + tool_executions.push(trace.clone()); + trajectory_text.push_str(&format!( + "Step {}\nThought: {}\nFinal: {}\n\n", + step + 1, + thought, + action_input + )); + break; + } + + let observation = self.execute_tool(&action_name, action_input.clone()).await; + tool_calls.push(ToolCall { + id: format!("react-step-{}", step + 1), + call_id: None, + function: ToolFunction { + name: action_name.clone(), + arguments: serde_json::json!(action_input), + }, + }); + tool_executions.push(Self::format_trace_entry( + step + 1, + &thought, + &action_name, + &action_input, + Some(&observation), + )); + + trajectory_text.push_str(&format!( + "Step {}\nThought: {}\nAction: {}\nAction Input: {}\nObservation: {}\n\n", + step + 1, + thought, + action_name, + action_input, + observation + )); + } + + let extract_input = baml_class([ + ("input", BamlValue::String(serialized_input)), + ("trajectory", BamlValue::String(trajectory_text)), + ]); + + let extract_predicted = self.extract.forward_untyped(extract_input).await?; + let (output, mut metadata) = extract_predicted.into_parts(); + metadata.tool_calls.extend(tool_calls); + metadata.tool_executions.extend(tool_executions); + + Ok(Predicted::new(output, metadata)) + } +} + +pub struct PredictFactory; +pub struct ChainOfThoughtFactory; +pub struct ReActFactory; + +impl StrategyFactory for PredictFactory { + fn name(&self) -> &'static str { + "predict" + } + + fn config_schema(&self) -> StrategyConfigSchema { + serde_json::json!({ + "type": "object", + "properties": {}, + "additionalProperties": true, + }) + } + + fn create( + &self, + base_schema: &SignatureSchema, + _config: StrategyConfig, + ) -> std::result::Result, StrategyError> { + Ok(Box::new(PredictDynModule::new(base_schema.clone()))) + } +} + +impl StrategyFactory for ChainOfThoughtFactory { + fn name(&self) -> &'static str { + "chain_of_thought" + } + + fn config_schema(&self) -> StrategyConfigSchema { + serde_json::json!({ + "type": "object", + "properties": {}, + "additionalProperties": true, + }) + } + + fn create( + &self, + base_schema: &SignatureSchema, + _config: StrategyConfig, + ) -> std::result::Result, StrategyError> { + let mut output_fields = Vec::with_capacity(base_schema.output_fields().len() + 1); + output_fields.push(crate::FieldSchema { + lm_name: "reasoning", + rust_name: "reasoning".to_string(), + docs: String::new(), + type_ir: build_type_ir_from_shape(>::SHAPE), + shape: >::SHAPE, + path: crate::FieldPath::new(["reasoning"]), + constraints: &[], + format: None, + }); + output_fields.extend(base_schema.output_fields().iter().cloned()); + let schema = base_schema.with_fields(base_schema.input_fields().to_vec(), output_fields); + Ok(Box::new(ChainOfThoughtDynModule::new(schema))) + } +} + +impl StrategyFactory for ReActFactory { + fn name(&self) -> &'static str { + "react" + } + + fn config_schema(&self) -> StrategyConfigSchema { + serde_json::json!({ + "type": "object", + "properties": { + "max_steps": { "type": "integer", "minimum": 1 } + }, + "additionalProperties": true, + }) + } + + fn create( + &self, + base_schema: &SignatureSchema, + config: StrategyConfig, + ) -> std::result::Result, StrategyError> { + let object = config + .as_object() + .ok_or_else(|| StrategyError::InvalidConfig { + strategy: self.name(), + reason: "config must be a JSON object".to_string(), + })?; + + let max_steps = match object.get("max_steps") { + None => 4usize, + Some(value) => { + let parsed = value.as_u64().ok_or_else(|| StrategyError::InvalidConfig { + strategy: self.name(), + reason: "`max_steps` must be an integer >= 1".to_string(), + })?; + if parsed == 0 { + return Err(StrategyError::InvalidConfig { + strategy: self.name(), + reason: "`max_steps` must be >= 1".to_string(), + }); + } + parsed as usize + } + }; + + Ok(Box::new(ReActDynModule::new( + base_schema.clone(), + max_steps, + Vec::new(), + ))) + } +} + +inventory::submit! { + StrategyFactoryRegistration { factory: &PredictFactory } +} + +inventory::submit! { + StrategyFactoryRegistration { factory: &ChainOfThoughtFactory } +} + +inventory::submit! { + StrategyFactoryRegistration { factory: &ReActFactory } +} + +fn react_action_schema(base_schema: &SignatureSchema) -> SignatureSchema { + let string_shape = >::SHAPE; + let string_type = build_type_ir_from_shape(string_shape); + let output_format = Arc::new(base_schema.output_format().clone()); + + SignatureSchema::from_parts( + "Given input and trajectory, choose the next action and its input.", + vec![ + crate::FieldSchema { + lm_name: "input", + rust_name: "input".to_string(), + docs: String::new(), + type_ir: string_type.clone(), + shape: string_shape, + path: crate::FieldPath::new(["input"]), + constraints: &[], + format: None, + }, + crate::FieldSchema { + lm_name: "trajectory", + rust_name: "trajectory".to_string(), + docs: String::new(), + type_ir: string_type.clone(), + shape: string_shape, + path: crate::FieldPath::new(["trajectory"]), + constraints: &[], + format: None, + }, + ], + vec![ + crate::FieldSchema { + lm_name: "thought", + rust_name: "thought".to_string(), + docs: String::new(), + type_ir: string_type.clone(), + shape: string_shape, + path: crate::FieldPath::new(["thought"]), + constraints: &[], + format: None, + }, + crate::FieldSchema { + lm_name: "action", + rust_name: "action".to_string(), + docs: String::new(), + type_ir: string_type.clone(), + shape: string_shape, + path: crate::FieldPath::new(["action"]), + constraints: &[], + format: None, + }, + crate::FieldSchema { + lm_name: "action_input", + rust_name: "action_input".to_string(), + docs: String::new(), + type_ir: string_type, + shape: string_shape, + path: crate::FieldPath::new(["action_input"]), + constraints: &[], + format: None, + }, + ], + output_format, + ) +} + +fn react_extract_schema(base_schema: &SignatureSchema) -> SignatureSchema { + let string_shape = >::SHAPE; + let string_type = build_type_ir_from_shape(string_shape); + + SignatureSchema::from_parts( + base_schema.instruction(), + vec![ + crate::FieldSchema { + lm_name: "input", + rust_name: "input".to_string(), + docs: String::new(), + type_ir: string_type.clone(), + shape: string_shape, + path: crate::FieldPath::new(["input"]), + constraints: &[], + format: None, + }, + crate::FieldSchema { + lm_name: "trajectory", + rust_name: "trajectory".to_string(), + docs: String::new(), + type_ir: string_type, + shape: string_shape, + path: crate::FieldPath::new(["trajectory"]), + constraints: &[], + format: None, + }, + ], + base_schema.output_fields().to_vec(), + Arc::new(base_schema.output_format().clone()), + ) +} + +fn required_string_output( + predictor: &SchemaPredictor, + output: &BamlValue, + field: &'static str, +) -> std::result::Result { + let field_schema = predictor + .schema() + .output_field_by_rust(field) + .or_else(|| { + predictor + .schema() + .output_fields() + .iter() + .find(|candidate| candidate.lm_name == field) + }) + .ok_or_else(|| PredictError::Conversion { + source: ConversionError::TypeMismatch { + expected: field, + actual: "missing output field metadata".to_string(), + }, + parsed: output.clone(), + })?; + + let value = predictor + .schema() + .navigate_field(field_schema.path(), output) + .ok_or_else(|| PredictError::Conversion { + source: ConversionError::TypeMismatch { + expected: field, + actual: "missing output value".to_string(), + }, + parsed: output.clone(), + })?; + + match value { + BamlValue::String(s) => Ok(s.clone()), + _ => Err(PredictError::Conversion { + source: ConversionError::TypeMismatch { + expected: field, + actual: format!("{value:?}"), + }, + parsed: output.clone(), + }), + } +} + +fn baml_class(fields: [(&str, BamlValue); N]) -> BamlValue { + let mut map = BamlMap::new(); + for (key, value) in fields { + map.insert(key.to_string(), value); + } + BamlValue::Class("DynamicInput".to_string(), map) +} + +fn baml_value_from_example_keys( + data: &HashMap, + keys: &[String], +) -> Result { + let mut map = BamlMap::new(); + for key in keys { + if let Some(value) = data.get(key) { + let baml_value = + BamlValue::try_from(value.clone()).map_err(|err| anyhow::anyhow!(err))?; + map.insert(key.clone(), baml_value); + } + } + Ok(BamlValue::Class("DynamicExample".to_string(), map)) +} diff --git a/crates/dspy-rs/src/core/dyn_module.rs b/crates/dspy-rs/src/core/dyn_module.rs new file mode 100644 index 00000000..df37a9c3 --- /dev/null +++ b/crates/dspy-rs/src/core/dyn_module.rs @@ -0,0 +1,100 @@ +use crate::{BamlValue, PredictError, Predicted, SignatureSchema}; + +use super::DynPredictor; + +pub type StrategyConfig = serde_json::Value; +pub type StrategyConfigSchema = serde_json::Value; + +#[derive(Debug, thiserror::Error)] +pub enum StrategyError { + #[error("unknown strategy `{name}`")] + UnknownStrategy { name: String }, + #[error("duplicate strategy registration `{name}`")] + DuplicateStrategy { name: &'static str }, + #[error("invalid config for strategy `{strategy}`: {reason}")] + InvalidConfig { + strategy: &'static str, + reason: String, + }, + #[error("failed to build strategy `{strategy}`: {reason}")] + BuildFailed { + strategy: &'static str, + reason: String, + }, +} + +#[async_trait::async_trait] +pub trait DynModule: Send + Sync { + fn schema(&self) -> &SignatureSchema; + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)>; + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)>; + async fn forward( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError>; +} + +pub trait StrategyFactory: Send + Sync { + fn name(&self) -> &'static str; + fn config_schema(&self) -> StrategyConfigSchema; + fn create( + &self, + base_schema: &SignatureSchema, + config: StrategyConfig, + ) -> std::result::Result, StrategyError>; +} + +pub struct StrategyFactoryRegistration { + pub factory: &'static dyn StrategyFactory, +} + +inventory::collect!(StrategyFactoryRegistration); + +pub mod registry { + use std::collections::HashSet; + + use crate::SignatureSchema; + + use super::{DynModule, StrategyConfig, StrategyError, StrategyFactory}; + + pub fn get(name: &str) -> std::result::Result<&'static dyn StrategyFactory, StrategyError> { + let mut matches = inventory::iter:: + .into_iter() + .filter(|registration| registration.factory.name() == name) + .map(|registration| registration.factory); + + let first = matches + .next() + .ok_or_else(|| StrategyError::UnknownStrategy { + name: name.to_string(), + })?; + + if matches.next().is_some() { + return Err(StrategyError::DuplicateStrategy { name: first.name() }); + } + + Ok(first) + } + + pub fn create( + name: &str, + schema: &SignatureSchema, + config: StrategyConfig, + ) -> std::result::Result, StrategyError> { + let factory = get(name)?; + factory.create(schema, config) + } + + pub fn list() -> Vec<&'static str> { + let mut seen = HashSet::new(); + let mut names = Vec::new(); + for registration in inventory::iter:: { + let name = registration.factory.name(); + if seen.insert(name) { + names.push(name); + } + } + names.sort_unstable(); + names + } +} diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index ddc1a412..a5c31365 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -2,7 +2,7 @@ use std::collections::{HashMap, HashSet}; use std::sync::{Mutex, OnceLock}; use anyhow::Result; -use bamltype::facet_reflect::Poke; +use bamltype::facet_reflect::{Peek, Poke}; use facet::{ConstTypeId, Def, Facet, KnownPointer, Shape, Type, UserType}; use crate::{BamlValue, Example, PredictError, Predicted, SignatureSchema}; @@ -31,12 +31,14 @@ pub struct PredictState { #[derive(Clone, Copy, Debug, facet::Facet)] #[facet(opaque)] pub struct PredictAccessorFns { - pub accessor: fn(*mut ()) -> *mut dyn DynPredictor, + pub accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, + pub accessor_ref: fn(*const ()) -> *const dyn DynPredictor, } impl PartialEq for PredictAccessorFns { fn eq(&self, other: &Self) -> bool { - std::ptr::fn_addr_eq(self.accessor, other.accessor) + std::ptr::fn_addr_eq(self.accessor_mut, other.accessor_mut) + && std::ptr::fn_addr_eq(self.accessor_ref, other.accessor_ref) } } @@ -47,13 +49,17 @@ static ACCESSOR_REGISTRY: OnceLock *mut dyn DynPredictor, + accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, + accessor_ref: fn(*const ()) -> *const dyn DynPredictor, ) { let registry = ACCESSOR_REGISTRY.get_or_init(|| Mutex::new(HashMap::new())); - let mut guard = registry.lock().expect("predict accessor registry lock poisoned"); - guard - .entry(shape.id) - .or_insert(PredictAccessorFns { accessor }); + let mut guard = registry + .lock() + .expect("predict accessor registry lock poisoned"); + guard.entry(shape.id).or_insert(PredictAccessorFns { + accessor_mut, + accessor_ref, + }); } #[derive(Debug, thiserror::Error, PartialEq, Eq)] @@ -64,11 +70,7 @@ pub enum NamedParametersError { MissingAttr { path: String }, } -#[tracing::instrument( - level = "debug", - name = "dsrs.named_parameters", - skip(module), -)] +#[tracing::instrument(level = "debug", name = "dsrs.named_parameters", skip(module))] pub fn named_parameters( module: &mut M, ) -> std::result::Result, NamedParametersError> @@ -88,6 +90,26 @@ where Ok(handles) } +#[tracing::instrument(level = "debug", name = "dsrs.named_parameters_ref", skip(module))] +pub fn named_parameters_ref( + module: &M, +) -> std::result::Result, NamedParametersError> +where + M: for<'a> Facet<'a>, +{ + let mut raw_handles = Vec::<(String, *const dyn DynPredictor)>::new(); + walk_value_ref(Peek::new(module), "", &mut raw_handles)?; + + let mut handles = Vec::with_capacity(raw_handles.len()); + for (path, ptr) in raw_handles { + // SAFETY: pointers are created from a shared traversal over `module`. + let handle = unsafe { &*ptr }; + handles.push((path, handle)); + } + + Ok(handles) +} + fn walk_value( mut value: Poke<'_, '_>, path: &str, @@ -95,10 +117,11 @@ fn walk_value( ) -> std::result::Result<(), NamedParametersError> { let shape = value.shape(); if is_parameter_shape(shape) { - let accessor = registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { - path: display_path(path), - })?; - let ptr = (accessor.accessor)(value.data_mut().as_mut_byte_ptr().cast::<()>()); + let accessor = + registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { + path: display_path(path), + })?; + let ptr = (accessor.accessor_mut)(value.data_mut().as_mut_byte_ptr().cast::<()>()); out.push((path.to_string(), ptr)); return Ok(()); } @@ -124,15 +147,65 @@ fn walk_value( }); } - let child = struct_value.field(idx).map_err(|_| NamedParametersError::MissingAttr { - path: display_path(&field_path), - })?; + let child = struct_value + .field(idx) + .map_err(|_| NamedParametersError::MissingAttr { + path: display_path(&field_path), + })?; walk_value(child, &field_path, out)?; } Ok(()) } +fn walk_value_ref( + value: Peek<'_, '_>, + path: &str, + out: &mut Vec<(String, *const dyn DynPredictor)>, +) -> std::result::Result<(), NamedParametersError> { + let shape = value.shape(); + if is_parameter_shape(shape) { + let accessor = + registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { + path: display_path(path), + })?; + let ptr = (accessor.accessor_ref)(value.data().as_byte_ptr().cast::<()>()); + out.push((path.to_string(), ptr)); + return Ok(()); + } + + let struct_value = match value.into_struct() { + Ok(struct_value) => struct_value, + Err(_) => return Ok(()), + }; + + for idx in 0..struct_value.field_count() { + let field = struct_value.ty().fields[idx]; + if field.should_skip_deserializing() { + continue; + } + + let field_path = push_field(path, field.name); + if let Some(ty) = container_name(field.shape()) + && contains_parameter(field.shape(), &mut HashSet::new()) + { + return Err(NamedParametersError::Container { + path: field_path, + ty, + }); + } + + let child = struct_value + .field(idx) + .map_err(|_| NamedParametersError::MissingAttr { + path: display_path(&field_path), + })?; + walk_value_ref(child, &field_path, out)?; + } + + Ok(()) +} + fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet) -> bool { if is_parameter_shape(shape) { return true; @@ -160,7 +233,9 @@ fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet Def::Result(def) => { contains_parameter(def.t(), visiting) || contains_parameter(def.e(), visiting) } - Def::Pointer(def) => def.pointee().is_some_and(|inner| contains_parameter(inner, visiting)), + Def::Pointer(def) => def + .pointee() + .is_some_and(|inner| contains_parameter(inner, visiting)), _ => false, }, }; diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index 07989809..5b328f69 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -1,20 +1,26 @@ -mod errors; +pub mod dyn_factories; +pub mod dyn_module; pub mod dyn_predictor; -mod predicted; +mod errors; pub mod lm; pub mod module; mod module_ext; +mod predicted; +pub mod program_graph; mod schema; pub mod settings; pub mod signature; pub mod specials; -pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; +pub use dyn_factories::*; +pub use dyn_module::*; pub use dyn_predictor::*; -pub use predicted::{CallMetadata, ConstraintResult, FieldMeta, Predicted}; +pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; pub use lm::*; pub use module::*; pub use module_ext::*; +pub use predicted::{CallMetadata, ConstraintResult, FieldMeta, Predicted}; +pub use program_graph::*; pub use schema::{FieldMetadataSpec, FieldPath, FieldSchema, SignatureSchema}; pub use settings::*; pub use signature::*; diff --git a/crates/dspy-rs/src/core/predicted.rs b/crates/dspy-rs/src/core/predicted.rs index 5c4ebe88..851b5b55 100644 --- a/crates/dspy-rs/src/core/predicted.rs +++ b/crates/dspy-rs/src/core/predicted.rs @@ -80,7 +80,9 @@ impl CallMetadata { } pub fn field_raw(&self, field: &str) -> Option<&str> { - self.field_meta.get(field).map(|meta| meta.raw_text.as_str()) + self.field_meta + .get(field) + .map(|meta| meta.raw_text.as_str()) } pub fn field_names(&self) -> impl Iterator + '_ { diff --git a/crates/dspy-rs/src/core/program_graph.rs b/crates/dspy-rs/src/core/program_graph.rs new file mode 100644 index 00000000..33969fb3 --- /dev/null +++ b/crates/dspy-rs/src/core/program_graph.rs @@ -0,0 +1,808 @@ +use std::collections::{HashMap, VecDeque}; +use std::sync::{Mutex, OnceLock}; + +use bamltype::facet_reflect::Peek; +use facet::{ConstTypeId, Facet, Shape}; +use indexmap::IndexMap; + +use bamltype::baml_types::BamlMap; + +use crate::core::{DynModule, PredictState, named_parameters, named_parameters_ref}; +use crate::{BamlValue, PredictError, SignatureSchema, TypeIR}; + +const INPUT_NODE: &str = "input"; + +pub struct ProgramGraph { + nodes: IndexMap, + edges: Vec, +} + +pub struct Node { + pub schema: SignatureSchema, + pub module: Box, +} + +impl From> for Node { + fn from(module: Box) -> Self { + let schema = module.schema().clone(); + Self { schema, module } + } +} + +impl std::fmt::Debug for Node { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("Node") + .field("schema", &self.schema) + .finish_non_exhaustive() + } +} + +impl std::fmt::Debug for ProgramGraph { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("ProgramGraph") + .field("nodes", &self.nodes) + .field("edges", &self.edges) + .finish() + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct Edge { + pub from_node: String, + pub from_field: String, + pub to_node: String, + pub to_field: String, +} + +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub struct GraphEdgeAnnotation { + pub from_node: &'static str, + pub from_field: &'static str, + pub to_node: &'static str, + pub to_field: &'static str, +} + +#[derive(Debug, thiserror::Error)] +pub enum GraphError { + #[error("duplicate node `{name}`")] + DuplicateNode { name: String }, + #[error("missing node `{name}`")] + MissingNode { name: String }, + #[error("missing field `{field}` on node `{node}` ({side})")] + MissingField { + node: String, + field: String, + side: &'static str, + }, + #[error("edge type mismatch `{from_node}.{from_field}` -> `{to_node}.{to_field}`")] + TypeMismatch { + from_node: String, + from_field: String, + to_node: String, + to_field: String, + }, + #[error("graph contains cycle")] + Cycle, + #[error("graph has no sink nodes")] + NoSink, + #[error("graph has multiple sinks: {sinks:?}")] + AmbiguousSink { sinks: Vec }, + #[error("projection mismatch at `{path}`: {reason}")] + ProjectionMismatch { path: String, reason: String }, + #[error("node `{node}` execution failed")] + Execution { + node: String, + #[source] + source: PredictError, + }, +} + +pub trait TypeIrAssignabilityExt { + fn is_assignable_to(&self, to: &TypeIR) -> bool; +} + +impl TypeIrAssignabilityExt for TypeIR { + fn is_assignable_to(&self, to: &TypeIR) -> bool { + let from = normalize_type_repr(&self.diagnostic_repr().to_string()); + let to = normalize_type_repr(&to.diagnostic_repr().to_string()); + + if from == to { + return true; + } + + if from == "null" && to.contains("null") { + return true; + } + + if to.contains(" or ") { + return to.split(" or ").any(|part| part.trim() == from); + } + + false + } +} + +fn normalize_type_repr(raw: &str) -> String { + raw.replace('`', "") + .replace("class ", "") + .replace("enum ", "") + .replace(['(', ')'], "") + .trim() + .to_string() +} + +static EDGE_ANNOTATIONS: OnceLock>> = + OnceLock::new(); + +pub fn register_graph_edge_annotations( + shape: &'static Shape, + annotations: &'static [GraphEdgeAnnotation], +) { + let store = EDGE_ANNOTATIONS.get_or_init(|| Mutex::new(HashMap::new())); + let mut guard = store + .lock() + .expect("graph annotation registry lock poisoned"); + guard.insert(shape.id, annotations); +} + +fn graph_edge_annotations(shape: &'static Shape) -> Vec { + let Some(store) = EDGE_ANNOTATIONS.get() else { + return Vec::new(); + }; + let guard = store + .lock() + .expect("graph annotation registry lock poisoned"); + guard + .get(&shape.id) + .map(|annotations| annotations.to_vec()) + .unwrap_or_default() +} + +impl ProgramGraph { + pub fn new() -> Self { + Self { + nodes: IndexMap::new(), + edges: Vec::new(), + } + } + + pub fn nodes(&self) -> &IndexMap { + &self.nodes + } + + pub fn nodes_mut(&mut self) -> &mut IndexMap { + &mut self.nodes + } + + pub fn edges(&self) -> &[Edge] { + &self.edges + } + + pub fn add_node( + &mut self, + name: impl Into, + node: impl Into, + ) -> Result<(), GraphError> { + let name = name.into(); + if self.nodes.contains_key(&name) { + return Err(GraphError::DuplicateNode { name }); + } + let mut node = node.into(); + // Keep schema/module in sync even when callers manually construct Node. + node.schema = node.module.schema().clone(); + self.nodes.insert(name, node); + Ok(()) + } + + pub fn remove_node(&mut self, name: &str) -> Result { + let removed = self + .nodes + .shift_remove(name) + .ok_or_else(|| GraphError::MissingNode { + name: name.to_string(), + })?; + self.edges + .retain(|edge| edge.from_node != name && edge.to_node != name); + Ok(removed) + } + + pub fn connect( + &mut self, + from: &str, + from_field: &str, + to: &str, + to_field: &str, + ) -> Result<(), GraphError> { + self.validate_edge(from, from_field, to, to_field)?; + self.edges.push(Edge { + from_node: from.to_string(), + from_field: from_field.to_string(), + to_node: to.to_string(), + to_field: to_field.to_string(), + }); + Ok(()) + } + + pub fn replace_node(&mut self, name: &str, node: impl Into) -> Result<(), GraphError> { + if !self.nodes.contains_key(name) { + return Err(GraphError::MissingNode { + name: name.to_string(), + }); + } + let mut node = node.into(); + // Keep schema/module in sync even when callers manually construct Node. + node.schema = node.module.schema().clone(); + + let incident = self + .edges + .iter() + .filter(|edge| edge.from_node == name || edge.to_node == name) + .cloned() + .collect::>(); + + let old = self + .nodes + .insert(name.to_string(), node) + .expect("node existence checked"); + + for edge in incident { + if let Err(err) = self.validate_edge( + &edge.from_node, + &edge.from_field, + &edge.to_node, + &edge.to_field, + ) { + self.nodes.insert(name.to_string(), old); + return Err(err); + } + } + + Ok(()) + } + + pub fn insert_between( + &mut self, + from: &str, + to: &str, + inserted_name: impl Into, + inserted_node: Node, + from_field: &str, + to_field: &str, + ) -> Result<(), GraphError> { + let inserted_name = inserted_name.into(); + if self.nodes.contains_key(&inserted_name) { + return Err(GraphError::DuplicateNode { + name: inserted_name, + }); + } + + let edge_index = self + .edges + .iter() + .position(|edge| { + edge.from_node == from + && edge.to_node == to + && edge.from_field == from_field + && edge.to_field == to_field + }) + .ok_or_else(|| GraphError::ProjectionMismatch { + path: format!("{from}.{from_field}->{to}.{to_field}"), + reason: "edge not found for insert_between".to_string(), + })?; + + let inserted_input = inserted_node + .schema + .input_fields() + .first() + .ok_or_else(|| GraphError::ProjectionMismatch { + path: inserted_name.clone(), + reason: "inserted node has no input fields".to_string(), + })? + .rust_name + .clone(); + let inserted_output = inserted_node + .schema + .output_fields() + .first() + .ok_or_else(|| GraphError::ProjectionMismatch { + path: inserted_name.clone(), + reason: "inserted node has no output fields".to_string(), + })? + .rust_name + .clone(); + + self.nodes.insert(inserted_name.clone(), inserted_node); + + let direct_edge = self.edges.remove(edge_index); + + if let Err(err) = self.connect( + &direct_edge.from_node, + &direct_edge.from_field, + &inserted_name, + &inserted_input, + ) { + self.nodes.shift_remove(&inserted_name); + self.edges.insert(edge_index, direct_edge); + return Err(err); + } + + if let Err(err) = self.connect( + &inserted_name, + &inserted_output, + &direct_edge.to_node, + &direct_edge.to_field, + ) { + self.nodes.shift_remove(&inserted_name); + self.edges.retain(|edge| { + !(edge.from_node == direct_edge.from_node + && edge.to_node == inserted_name + && edge.from_field == direct_edge.from_field + && edge.to_field == inserted_input) + }); + self.edges.insert(edge_index, direct_edge); + return Err(err); + } + + Ok(()) + } + + pub async fn execute(&self, input: BamlValue) -> Result { + let order = self.topological_order()?; + let mut outputs: HashMap = HashMap::new(); + + for node_name in &order { + let node = self + .nodes + .get(node_name) + .ok_or_else(|| GraphError::MissingNode { + name: node_name.clone(), + })?; + + let incoming = self + .edges + .iter() + .filter(|edge| edge.to_node == *node_name) + .collect::>(); + + let node_input = + if incoming.is_empty() { + input.clone() + } else { + let mut map = BamlMap::new(); + for edge in incoming { + if edge.from_node == INPUT_NODE { + let value = navigate_runtime_path(&input, &edge.from_field) + .ok_or_else(|| GraphError::ProjectionMismatch { + path: format!("{INPUT_NODE}.{}", edge.from_field), + reason: "source value missing".to_string(), + })?; + let to_schema = find_input_field(&node.schema, &edge.to_field) + .ok_or_else(|| GraphError::MissingField { + node: edge.to_node.clone(), + field: edge.to_field.clone(), + side: "input", + })?; + insert_baml_at_path(&mut map, to_schema.path(), value.clone()); + continue; + } + + let upstream = outputs.get(&edge.from_node).ok_or_else(|| { + GraphError::ProjectionMismatch { + path: format!("{}", edge.from_node), + reason: "missing upstream output".to_string(), + } + })?; + let from_node = self.nodes.get(&edge.from_node).ok_or_else(|| { + GraphError::MissingNode { + name: edge.from_node.clone(), + } + })?; + let from_schema = find_output_field(&from_node.schema, &edge.from_field) + .ok_or_else(|| GraphError::MissingField { + node: edge.from_node.clone(), + field: edge.from_field.clone(), + side: "output", + })?; + let value = from_node + .schema + .navigate_field(from_schema.path(), upstream) + .ok_or_else(|| GraphError::ProjectionMismatch { + path: format!("{}.{}", edge.from_node, edge.from_field), + reason: "source value missing".to_string(), + })? + .clone(); + + let to_schema = + find_input_field(&node.schema, &edge.to_field).ok_or_else(|| { + GraphError::MissingField { + node: edge.to_node.clone(), + field: edge.to_field.clone(), + side: "input", + } + })?; + + insert_baml_at_path(&mut map, to_schema.path(), value); + } + BamlValue::Class("GraphInput".to_string(), map) + }; + + let predicted = + node.module + .forward(node_input) + .await + .map_err(|source| GraphError::Execution { + node: node_name.clone(), + source, + })?; + outputs.insert(node_name.clone(), predicted.into_inner()); + } + + let sinks = self.sink_nodes(); + match sinks.len() { + 0 => Err(GraphError::NoSink), + 1 => outputs + .remove(&sinks[0]) + .ok_or_else(|| GraphError::ProjectionMismatch { + path: sinks[0].clone(), + reason: "sink output missing".to_string(), + }), + _ => Err(GraphError::AmbiguousSink { sinks }), + } + } + + pub fn from_module(module: &M) -> Result + where + M: for<'a> Facet<'a>, + { + let shape = Peek::new(module).shape(); + let mut graph = ProgramGraph::new(); + + let predictors = + named_parameters_ref(module).map_err(|err| GraphError::ProjectionMismatch { + path: "".to_string(), + reason: err.to_string(), + })?; + + for (path, predictor) in predictors { + let schema = predictor.schema().clone(); + let state = predictor.dump_state(); + + let mut dyn_module: Box = + Box::new(crate::core::PredictDynModule::new(schema.clone())); + let leaves = dyn_module.predictors_mut(); + let Some((_, dyn_predictor)) = leaves.into_iter().next() else { + return Err(GraphError::ProjectionMismatch { + path, + reason: "dynamic module has no predictor leaves".to_string(), + }); + }; + dyn_predictor + .load_state(state) + .map_err(|err| GraphError::ProjectionMismatch { + path: path.clone(), + reason: err.to_string(), + })?; + + graph.add_node(path, dyn_module)?; + } + + let annotations = graph_edge_annotations(shape); + for annotation in annotations { + graph.connect( + annotation.from_node, + annotation.from_field, + annotation.to_node, + annotation.to_field, + )?; + } + + if graph.edges.is_empty() { + graph.infer_edges_by_schema_order()?; + } + if graph.nodes.len() > 1 && graph.edges.is_empty() { + return Err(GraphError::ProjectionMismatch { + path: "".to_string(), + reason: "projection produced multiple nodes with no resolvable edges".to_string(), + }); + } + + Ok(graph) + } + + pub fn fit(&self, module: &mut M) -> Result<(), GraphError> + where + M: for<'a> Facet<'a>, + { + let mut destination = + named_parameters(module).map_err(|err| GraphError::ProjectionMismatch { + path: "".to_string(), + reason: err.to_string(), + })?; + + for (node_name, node) in &self.nodes { + let mut node_predictors = node.module.predictors(); + let Some((_, predictor)) = node_predictors.pop() else { + continue; + }; + let state: PredictState = predictor.dump_state(); + + let Some((_, target)) = destination.iter_mut().find(|(path, _)| path == node_name) + else { + return Err(GraphError::ProjectionMismatch { + path: node_name.clone(), + reason: "graph node has no matching typed predictor path".to_string(), + }); + }; + target + .load_state(state) + .map_err(|err| GraphError::ProjectionMismatch { + path: node_name.clone(), + reason: err.to_string(), + })?; + } + + Ok(()) + } + + fn infer_edges_by_schema_order(&mut self) -> Result<(), GraphError> { + let node_names = self.nodes.keys().cloned().collect::>(); + let mut inferred = Vec::<(String, String, String, String)>::new(); + + for from_idx in 0..node_names.len() { + for to_idx in (from_idx + 1)..node_names.len() { + let from_name = &node_names[from_idx]; + let to_name = &node_names[to_idx]; + let from_schema = &self + .nodes + .get(from_name) + .expect("node names collected from map") + .schema; + let to_schema = &self + .nodes + .get(to_name) + .expect("node names collected from map") + .schema; + + for from_field in from_schema.output_fields() { + for to_field in to_schema.input_fields() { + let names_match = from_field.rust_name == to_field.rust_name + || from_field.lm_name == to_field.lm_name; + if !names_match { + continue; + } + if !from_field.type_ir.is_assignable_to(&to_field.type_ir) { + continue; + } + if self.edges.iter().any(|edge| { + edge.from_node == *from_name + && edge.from_field == from_field.rust_name + && edge.to_node == *to_name + && edge.to_field == to_field.rust_name + }) { + continue; + } + inferred.push(( + from_name.clone(), + from_field.rust_name.clone(), + to_name.clone(), + to_field.rust_name.clone(), + )); + } + } + } + } + + for (from_node, from_field, to_node, to_field) in inferred { + self.connect(&from_node, &from_field, &to_node, &to_field)?; + } + Ok(()) + } + + fn validate_edge( + &self, + from: &str, + from_field: &str, + to: &str, + to_field: &str, + ) -> Result<(), GraphError> { + let to_node = self.nodes.get(to).ok_or_else(|| GraphError::MissingNode { + name: to.to_string(), + })?; + + let to_schema = find_input_field(&to_node.schema, to_field).ok_or_else(|| { + GraphError::MissingField { + node: to.to_string(), + field: to_field.to_string(), + side: "input", + } + })?; + + if from == INPUT_NODE { + if from_field.trim().is_empty() { + return Err(GraphError::ProjectionMismatch { + path: format!("{INPUT_NODE}.{from_field}"), + reason: "input edge field cannot be empty".to_string(), + }); + } + let _ = to_schema; + return Ok(()); + } + + let from_node = self + .nodes + .get(from) + .ok_or_else(|| GraphError::MissingNode { + name: from.to_string(), + })?; + let from_schema = find_output_field(&from_node.schema, from_field).ok_or_else(|| { + GraphError::MissingField { + node: from.to_string(), + field: from_field.to_string(), + side: "output", + } + })?; + + if !from_schema.type_ir.is_assignable_to(&to_schema.type_ir) { + return Err(GraphError::TypeMismatch { + from_node: from.to_string(), + from_field: from_field.to_string(), + to_node: to.to_string(), + to_field: to_field.to_string(), + }); + } + + Ok(()) + } + + fn topological_order(&self) -> Result, GraphError> { + let mut indegree: HashMap<&str, usize> = self + .nodes + .keys() + .map(|name| (name.as_str(), 0usize)) + .collect(); + + for edge in &self.edges { + if edge.from_node == INPUT_NODE { + if !self.nodes.contains_key(&edge.to_node) { + return Err(GraphError::MissingNode { + name: edge.to_node.clone(), + }); + } + continue; + } + if !self.nodes.contains_key(&edge.from_node) { + return Err(GraphError::MissingNode { + name: edge.from_node.clone(), + }); + } + if !self.nodes.contains_key(&edge.to_node) { + return Err(GraphError::MissingNode { + name: edge.to_node.clone(), + }); + } + *indegree + .get_mut(edge.to_node.as_str()) + .expect("to_node existence checked") += 1; + } + + let mut queue = VecDeque::new(); + for name in self.nodes.keys() { + if indegree[name.as_str()] == 0 { + queue.push_back(name.clone()); + } + } + + let mut order = Vec::with_capacity(self.nodes.len()); + while let Some(node) = queue.pop_front() { + order.push(node.clone()); + for edge in self.edges.iter().filter(|edge| edge.from_node == node) { + let target = edge.to_node.as_str(); + let current = indegree.get_mut(target).expect("target should exist"); + *current -= 1; + if *current == 0 { + queue.push_back(edge.to_node.clone()); + } + } + } + + if order.len() != self.nodes.len() { + return Err(GraphError::Cycle); + } + + Ok(order) + } + + fn sink_nodes(&self) -> Vec { + let mut outgoing = HashMap::<&str, usize>::new(); + for name in self.nodes.keys() { + outgoing.insert(name, 0); + } + for edge in &self.edges { + if let Some(count) = outgoing.get_mut(edge.from_node.as_str()) { + *count += 1; + } + } + + self.nodes + .keys() + .filter(|name| outgoing.get(name.as_str()).copied().unwrap_or(0) == 0) + .cloned() + .collect() + } +} + +impl Default for ProgramGraph { + fn default() -> Self { + Self::new() + } +} + +fn find_input_field<'a>( + schema: &'a SignatureSchema, + field: &str, +) -> Option<&'a crate::FieldSchema> { + schema + .input_fields() + .iter() + .find(|candidate| candidate.rust_name == field || candidate.lm_name == field) +} + +fn find_output_field<'a>( + schema: &'a SignatureSchema, + field: &str, +) -> Option<&'a crate::FieldSchema> { + schema + .output_fields() + .iter() + .find(|candidate| candidate.rust_name == field || candidate.lm_name == field) +} + +fn navigate_runtime_path<'a>(root: &'a BamlValue, field_path: &str) -> Option<&'a BamlValue> { + let mut current = root; + for part in field_path.split('.').filter(|part| !part.is_empty()) { + current = match current { + BamlValue::Class(_, map) | BamlValue::Map(map) => map.get(part)?, + _ => return None, + }; + } + Some(current) +} + +fn insert_baml_at_path( + root: &mut BamlMap, + path: &crate::FieldPath, + value: BamlValue, +) { + let parts: Vec<_> = path.iter().collect(); + if parts.is_empty() { + return; + } + insert_baml_at_parts(root, &parts, value); +} + +fn insert_baml_at_parts( + root: &mut BamlMap, + parts: &[&'static str], + value: BamlValue, +) { + if parts.len() == 1 { + root.insert(parts[0].to_string(), value); + return; + } + + let key = parts[0].to_string(); + let entry = root + .entry(key) + .or_insert_with(|| BamlValue::Map(BamlMap::new())); + + if !matches!(entry, BamlValue::Map(_) | BamlValue::Class(_, _)) { + *entry = BamlValue::Map(BamlMap::new()); + } + + let child = match entry { + BamlValue::Map(map) | BamlValue::Class(_, map) => map, + _ => unreachable!(), + }; + + insert_baml_at_parts(child, &parts[1..], value); +} diff --git a/crates/dspy-rs/src/core/schema.rs b/crates/dspy-rs/src/core/schema.rs index 18c39845..01296949 100644 --- a/crates/dspy-rs/src/core/schema.rs +++ b/crates/dspy-rs/src/core/schema.rs @@ -4,9 +4,9 @@ use std::sync::{Arc, Mutex, OnceLock}; use bamltype::baml_types::BamlValue; use bamltype::baml_types::TypeIR; +use bamltype::build_type_ir_from_shape; use bamltype::facet::{Def, Field, Shape, Type, UserType}; use bamltype::internal_baml_jinja::types::OutputFormatContent; -use bamltype::build_type_ir_from_shape; use crate::{Constraint, ConstraintKind, ConstraintSpec, Signature}; @@ -26,7 +26,6 @@ impl FieldPath { self.parts.push(part); } - pub fn iter(&self) -> impl Iterator + '_ { self.parts.iter().copied() } @@ -70,7 +69,7 @@ impl FieldSchema { } } -#[derive(Debug)] +#[derive(Debug, Clone)] pub struct SignatureSchema { instruction: &'static str, input_fields: Box<[FieldSchema]>, @@ -79,9 +78,22 @@ pub struct SignatureSchema { } impl SignatureSchema { + pub(crate) fn from_parts( + instruction: &'static str, + input_fields: Vec, + output_fields: Vec, + output_format: Arc, + ) -> Self { + Self { + instruction, + input_fields: input_fields.into_boxed_slice(), + output_fields: output_fields.into_boxed_slice(), + output_format, + } + } + pub fn of() -> &'static Self { - static CACHE: OnceLock>> = - OnceLock::new(); + static CACHE: OnceLock>> = OnceLock::new(); let cache = CACHE.get_or_init(|| Mutex::new(HashMap::new())); { @@ -170,6 +182,31 @@ impl SignatureSchema { .find(|field| field.rust_name == rust_name) } + pub fn input_field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> { + self.input_fields() + .iter() + .find(|field| field.rust_name == rust_name) + } + + pub fn output_field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> { + self.output_fields() + .iter() + .find(|field| field.rust_name == rust_name) + } + + pub fn with_fields( + &self, + input_fields: Vec, + output_fields: Vec, + ) -> Self { + Self { + instruction: self.instruction, + input_fields: input_fields.into_boxed_slice(), + output_fields: output_fields.into_boxed_slice(), + output_format: Arc::clone(&self.output_format), + } + } + pub fn field_paths(&self) -> impl Iterator { self.input_fields .iter() @@ -242,10 +279,7 @@ fn emit_field( } let mut nested_path = path.clone(); nested_path.push(nested.name); - let nested_meta = metadata_by_name - .get(nested.name) - .copied() - .or(inherited); + let nested_meta = metadata_by_name.get(nested.name).copied().or(inherited); emit_field(nested, nested_path, nested_meta, metadata_by_name, out)?; } diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index d0e871b1..25f2c505 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -24,13 +24,13 @@ pub use utils::*; pub use bamltype::BamlConvertError; pub use bamltype::BamlType; // attribute macro pub use bamltype::Shape; -pub use facet::Facet; pub use bamltype::baml_types::{ BamlValue, Constraint, ConstraintLevel, ResponseCheck, StreamingMode, TypeIR, }; pub use bamltype::internal_baml_jinja::types::{OutputFormatContent, RenderOptions}; pub use bamltype::jsonish::deserializer::deserialize_flags::Flag; pub use dsrs_macros::*; +pub use facet::Facet; #[doc(hidden)] pub mod __macro_support { diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 66271516..b89954a8 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -1,7 +1,7 @@ use indexmap::IndexMap; -use crate::augmentation::Augmented; use crate::Augmentation; +use crate::augmentation::Augmented; use crate::core::{MetaSignature, Module, Optimizable, Signature}; use crate::predictors::{Demo, Predict, PredictBuilder}; use crate::{BamlType, Example, PredictError, Predicted}; diff --git a/crates/dspy-rs/src/optimizer/copro.rs b/crates/dspy-rs/src/optimizer/copro.rs index 5c722228..7e3c66cc 100644 --- a/crates/dspy-rs/src/optimizer/copro.rs +++ b/crates/dspy-rs/src/optimizer/copro.rs @@ -1,10 +1,9 @@ #![allow(deprecated)] use crate::{ - Facet, + Evaluator, Example, Facet, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, core::{DynPredictor, named_parameters}, - Evaluator, Example, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, example, - get_lm, + example, get_lm, }; use anyhow::Result; use bon::Builder; @@ -81,11 +80,7 @@ impl COPRO { } impl Optimizer for COPRO { - async fn compile( - &self, - module: &mut M, - trainset: Vec, - ) -> Result<()> + async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Evaluator + for<'a> Facet<'a>, { @@ -465,10 +460,14 @@ impl Optimizer for COPRO { if let Some((_, best_candidate)) = best_overall { let mut module_predictors = named_parameters(module)?; for (predictor_name, predictor) in &mut module_predictors { - if let Some(best) = evaluated_candidates.get(predictor_name.as_str()).and_then(|m| { - m.values() - .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) - }) { + if let Some(best) = + evaluated_candidates + .get(predictor_name.as_str()) + .and_then(|m| { + m.values() + .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) + }) + { predictor.set_instruction(best.instruction.clone()); } } diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index 53516b79..c82c9b68 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -16,10 +16,10 @@ use serde::{Deserialize, Serialize}; use std::sync::Arc; use crate::{ - Facet, + Example, Facet, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, core::{DynPredictor, named_parameters}, - Example, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, - evaluate::FeedbackEvaluator, example, + evaluate::FeedbackEvaluator, + example, }; use dsrs_macros::LegacySignature; diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index 90de56bf..1bf39890 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -14,10 +14,10 @@ /// - Prompting tips library /// 3. **Evaluation & Combination**: Evaluates candidates in batches and combines best components use crate::{ - Facet, SignatureSchema, + Evaluator, Example, Facet, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, + SignatureSchema, core::{MetaSignature, named_parameters}, - Evaluator, Example, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, example, - get_lm, + example, get_lm, }; use anyhow::{Context, Result}; use bon::Builder; @@ -621,7 +621,8 @@ impl Optimizer for MIPROv2 { // Apply best candidate { let mut params = named_parameters(module)?; - if let Some((_, predictor)) = params.iter_mut().find(|(name, _)| name == &predictor_name) + if let Some((_, predictor)) = + params.iter_mut().find(|(name, _)| name == &predictor_name) { predictor.set_instruction(best_candidate.instruction.clone()); // Note: Demo setting would require mutable signature access diff --git a/crates/dspy-rs/src/optimizer/mod.rs b/crates/dspy-rs/src/optimizer/mod.rs index 831a1dc1..946af438 100644 --- a/crates/dspy-rs/src/optimizer/mod.rs +++ b/crates/dspy-rs/src/optimizer/mod.rs @@ -9,11 +9,7 @@ pub use mipro::*; pub use pareto::*; use crate::{ - core::Module, - data::example::Example, - data::prediction::Prediction, - evaluate::Evaluator, - Facet, + Facet, core::Module, data::example::Example, data::prediction::Prediction, evaluate::Evaluator, }; use anyhow::Result; diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 402ed5bc..cb9ef0c8 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -42,6 +42,17 @@ where dyn_ref as *mut dyn DynPredictor } +fn predict_dyn_accessor_ref(value: *const ()) -> *const dyn DynPredictor +where + S: Signature, +{ + // SAFETY: this function is only called via `register_predict_accessor` for + // `Predict`'s own shape, so `value` points at a valid `Predict`. + let typed = unsafe { &*(value.cast::>()) }; + let dyn_ref: &dyn DynPredictor = typed; + dyn_ref as *const dyn DynPredictor +} + #[derive(facet::Facet)] #[facet(crate = facet, opaque)] pub struct Predict { @@ -59,6 +70,7 @@ impl Predict { register_predict_accessor( >::SHAPE, predict_dyn_accessor::, + predict_dyn_accessor_ref::, ); Self { tools: Vec::new(), @@ -172,24 +184,24 @@ impl Predict { let raw_response = response.output.content().to_string(); let lm_usage = response.usage.clone(); - let (typed_output, field_metas) = match chat_adapter.parse_response_typed::(&response.output) - { - Ok(parsed) => parsed, - Err(err) => { - let failed_fields = err.fields(); - debug!( - failed_fields = failed_fields.len(), - fields = ?failed_fields, - raw_response_len = raw_response.len(), - "typed parse failed" - ); - return Err(PredictError::Parse { - source: err, - raw_response, - lm_usage, - }); - } - }; + let (typed_output, field_metas) = + match chat_adapter.parse_response_typed::(&response.output) { + Ok(parsed) => parsed, + Err(err) => { + let failed_fields = err.fields(); + debug!( + failed_fields = failed_fields.len(), + fields = ?failed_fields, + raw_response_len = raw_response.len(), + "typed parse failed" + ); + return Err(PredictError::Parse { + source: err, + raw_response, + lm_usage, + }); + } + }; let checks_total = field_metas .values() @@ -206,10 +218,7 @@ impl Predict { .count(); debug!( output_fields = field_metas.len(), - checks_total, - checks_failed, - flagged_fields, - "typed parse completed" + checks_total, checks_failed, flagged_fields, "typed parse completed" ); if let Some(id) = node_id { @@ -289,6 +298,7 @@ impl PredictBuilder { register_predict_accessor( as facet::Facet<'static>>::SHAPE, predict_dyn_accessor::, + predict_dyn_accessor_ref::, ); Predict { tools: self.tools, @@ -514,7 +524,9 @@ where fn demos_as_examples(&self) -> Vec { self.demos .iter() - .map(|demo| example_from_demo::(demo).expect("typed Predict demo conversion should succeed")) + .map(|demo| { + example_from_demo::(demo).expect("typed Predict demo conversion should succeed") + }) .collect() } @@ -556,7 +568,9 @@ where fn demos(&self) -> Vec { self.demos .iter() - .map(|demo| example_from_demo::(demo).expect("typed Predict demo conversion should succeed")) + .map(|demo| { + example_from_demo::(demo).expect("typed Predict demo conversion should succeed") + }) .collect() } diff --git a/crates/dspy-rs/tests/test_call_outcome.rs b/crates/dspy-rs/tests/test_call_outcome.rs index 30c95722..e6b52f70 100644 --- a/crates/dspy-rs/tests/test_call_outcome.rs +++ b/crates/dspy-rs/tests/test_call_outcome.rs @@ -1,4 +1,6 @@ -use dspy_rs::{CallMetadata, ConstraintResult, FieldMeta, LmUsage, ParseError, PredictError, Predicted}; +use dspy_rs::{ + CallMetadata, ConstraintResult, FieldMeta, LmUsage, ParseError, PredictError, Predicted, +}; use indexmap::IndexMap; #[test] diff --git a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs index 5e0425da..65a0dd74 100644 --- a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs +++ b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs @@ -1,10 +1,10 @@ use std::sync::LazyLock; +use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ BamlType, ChatAdapter, LM, LMClient, Predict, Signature, TestCompletionModel, configure, named_parameters, }; -use dspy_rs::__macro_support::bamltype::facet; use rig::completion::AssistantContent; use rig::message::Text; use tokio::sync::Mutex; diff --git a/crates/dspy-rs/tests/test_flatten_roundtrip.rs b/crates/dspy-rs/tests/test_flatten_roundtrip.rs index c9f33270..e9857ce9 100644 --- a/crates/dspy-rs/tests/test_flatten_roundtrip.rs +++ b/crates/dspy-rs/tests/test_flatten_roundtrip.rs @@ -1,6 +1,4 @@ -use dspy_rs::{ - Augmented, ChatAdapter, Demo, Message, Reasoning, Signature, WithReasoning, -}; +use dspy_rs::{Augmented, ChatAdapter, Demo, Message, Reasoning, Signature, WithReasoning}; #[derive(Signature, Clone, Debug)] struct QA { @@ -26,8 +24,7 @@ fn augmented_demo_roundtrips_through_adapter() { }, ); - let (user_msg, assistant_msg) = - adapter.format_demo_typed::>(&demo); + let (user_msg, assistant_msg) = adapter.format_demo_typed::>(&demo); let schema = as Signature>::schema(); let output_names: Vec<&str> = schema.output_fields().iter().map(|f| f.lm_name).collect(); diff --git a/crates/dspy-rs/tests/test_module_ext.rs b/crates/dspy-rs/tests/test_module_ext.rs index 705f756b..263e7e4f 100644 --- a/crates/dspy-rs/tests/test_module_ext.rs +++ b/crates/dspy-rs/tests/test_module_ext.rs @@ -1,6 +1,4 @@ -use dspy_rs::{ - BamlType, CallMetadata, Module, ModuleExt, ParseError, PredictError, Predicted, -}; +use dspy_rs::{BamlType, CallMetadata, Module, ModuleExt, ParseError, PredictError, Predicted}; struct MaybeFails; @@ -67,7 +65,10 @@ async fn map_transforms_success_and_preserves_metadata() { } ); - let err = mapped.call(IntPayload { value: -7 }).await.expect_err("failure expected"); + let err = mapped + .call(IntPayload { value: -7 }) + .await + .expect_err("failure expected"); match err { PredictError::Parse { source: ParseError::MissingField { field, .. }, diff --git a/crates/dspy-rs/tests/test_named_parameters.rs b/crates/dspy-rs/tests/test_named_parameters.rs index ea830bce..675e5dfd 100644 --- a/crates/dspy-rs/tests/test_named_parameters.rs +++ b/crates/dspy-rs/tests/test_named_parameters.rs @@ -1,7 +1,7 @@ use std::collections::HashMap; -use dspy_rs::{ChainOfThought, Example, Predict, Signature, named_parameters}; use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ChainOfThought, Example, Predict, Signature, named_parameters}; use serde_json::json; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] @@ -54,7 +54,9 @@ fn named_parameters_chain_of_thought_exposes_predictor_and_mutates_state() { assert_eq!(params.len(), 1); assert_eq!(params[0].0, "predictor"); - params[0].1.set_instruction("Use short direct answers".to_string()); + params[0] + .1 + .set_instruction("Use short direct answers".to_string()); assert_eq!(params[0].1.instruction(), "Use short direct answers"); assert_eq!(params[0].1.demos_as_examples().len(), 0); @@ -104,7 +106,10 @@ fn named_parameters_predict_dump_load_state_roundtrip() { assert_eq!(predictor.instruction(), "Use short direct answers"); let demos = predictor.demos_as_examples(); assert_eq!(demos.len(), 1); - assert_eq!(demos[0].data.get("question"), Some(&json!("What is 2 + 2?"))); + assert_eq!( + demos[0].data.get("question"), + Some(&json!("What is 2 + 2?")) + ); assert_eq!(demos[0].data.get("answer"), Some(&json!("4"))); } diff --git a/crates/dspy-rs/tests/test_named_parameters_containers.rs b/crates/dspy-rs/tests/test_named_parameters_containers.rs index e6645169..2ade4362 100644 --- a/crates/dspy-rs/tests/test_named_parameters_containers.rs +++ b/crates/dspy-rs/tests/test_named_parameters_containers.rs @@ -1,5 +1,5 @@ -use dspy_rs::{NamedParametersError, Predict, Signature, named_parameters}; use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{NamedParametersError, Predict, Signature, named_parameters}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] diff --git a/crates/dspy-rs/tests/test_named_parameters_ref.rs b/crates/dspy-rs/tests/test_named_parameters_ref.rs new file mode 100644 index 00000000..72d783a1 --- /dev/null +++ b/crates/dspy-rs/tests/test_named_parameters_ref.rs @@ -0,0 +1,53 @@ +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ChainOfThought, Predict, Signature, named_parameters, named_parameters_ref}; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct Wrapper { + first: Predict, + cot: ChainOfThought, +} + +#[test] +fn named_parameters_ref_discovers_same_paths_as_named_parameters() { + let mut module = Wrapper { + first: Predict::::new(), + cot: ChainOfThought::::new(), + }; + + let mut mutable = named_parameters(&mut module).expect("mutable walker should succeed"); + let mutable_paths = mutable + .iter_mut() + .map(|(path, _)| path.clone()) + .collect::>(); + let mutable_first_instruction = mutable + .iter_mut() + .find(|(path, _)| path == "first") + .expect("first predictor should be present") + .1 + .instruction(); + + let immutable = named_parameters_ref(&module).expect("immutable walker should succeed"); + let immutable_paths = immutable + .iter() + .map(|(path, _)| path.clone()) + .collect::>(); + + assert_eq!(immutable_paths, mutable_paths); + + let first = immutable + .iter() + .find(|(path, _)| path == "first") + .expect("first predictor should be present"); + assert_eq!(first.1.instruction(), mutable_first_instruction); +} diff --git a/crates/dspy-rs/tests/test_program_graph_annotations.rs b/crates/dspy-rs/tests/test_program_graph_annotations.rs new file mode 100644 index 00000000..b540d23d --- /dev/null +++ b/crates/dspy-rs/tests/test_program_graph_annotations.rs @@ -0,0 +1,105 @@ +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + GraphEdgeAnnotation, Predict, ProgramGraph, Signature, register_graph_edge_annotations, +}; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct ProduceAnswer { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct ConsumeAnswer { + #[input] + answer: String, + + #[output] + final_answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct ConsumeCount { + #[input] + count: i64, + + #[output] + final_count: i64, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct AnnotatedModule { + source: Predict, + sink: Predict, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct PlainModule { + source: Predict, + sink: Predict, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct UnresolvableModule { + source: Predict, + sink: Predict, +} + +static EDGE_ANNOTATIONS: &[GraphEdgeAnnotation] = &[GraphEdgeAnnotation { + from_node: "source", + from_field: "answer", + to_node: "sink", + to_field: "answer", +}]; + +#[test] +fn from_module_prefers_annotations_and_falls_back_to_inference() { + register_graph_edge_annotations( + >::SHAPE, + EDGE_ANNOTATIONS, + ); + + let annotated = AnnotatedModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + let graph = ProgramGraph::from_module(&annotated).expect("projection should succeed"); + assert_eq!(graph.edges().len(), 1); + assert_eq!(graph.edges()[0].from_node, "source"); + assert_eq!(graph.edges()[0].to_node, "sink"); + + let plain = PlainModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + let plain_graph = ProgramGraph::from_module(&plain).expect("projection should succeed"); + assert_eq!(plain_graph.edges().len(), 1); + assert_eq!(plain_graph.edges()[0].from_node, "source"); + assert_eq!(plain_graph.edges()[0].from_field, "answer"); + assert_eq!(plain_graph.edges()[0].to_node, "sink"); + assert_eq!(plain_graph.edges()[0].to_field, "answer"); +} + +#[test] +fn from_module_errors_when_multi_node_edges_cannot_be_inferred() { + let module = UnresolvableModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + + let err = ProgramGraph::from_module(&module) + .expect_err("projection should fail when no edges can be resolved"); + assert!(matches!( + err, + dspy_rs::GraphError::ProjectionMismatch { .. } + )); +} diff --git a/crates/dspy-rs/tests/test_program_graph_execution.rs b/crates/dspy-rs/tests/test_program_graph_execution.rs new file mode 100644 index 00000000..db6fb222 --- /dev/null +++ b/crates/dspy-rs/tests/test_program_graph_execution.rs @@ -0,0 +1,381 @@ +use std::sync::LazyLock; + +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::__macro_support::indexmap::IndexMap; +use dspy_rs::{ + BamlType, BamlValue, CallMetadata, ChainOfThought, ChatAdapter, DynModule, DynPredictor, + GraphError, LMClient, Node, Predict, PredictError, Predicted, ProgramGraph, Signature, + SignatureSchema, TestCompletionModel, configure, registry, +}; +use rig::completion::{ + AssistantContent, CompletionRequest, Message as RigMessage, message::UserContent, +}; +use rig::message::Text; +use tokio::sync::Mutex; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QuestionToAnswer { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct AnswerToEnriched { + #[input] + answer: String, + + #[output] + enriched: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct EnrichedToFinal { + #[input] + enriched: String, + + #[output] + final_answer: String, +} + +struct EchoDynModule { + schema: SignatureSchema, +} + +static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); + +fn response_with_fields(fields: &[(&str, &str)]) -> String { + let mut response = String::new(); + for (name, value) in fields { + response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); + } + response.push_str("[[ ## completed ## ]]\n"); + response +} + +fn text_response(text: impl Into) -> AssistantContent { + AssistantContent::Text(Text { text: text.into() }) +} + +async fn configure_test_lm(client: TestCompletionModel) { + unsafe { + std::env::set_var("OPENAI_API_KEY", "test"); + } + + let lm = dspy_rs::LM::builder() + .model("openai:gpt-4o-mini".to_string()) + .build() + .await + .unwrap() + .with_client(LMClient::Test(client)) + .await + .unwrap(); + + configure(lm, ChatAdapter {}); +} + +fn request_system(request: &CompletionRequest) -> String { + request.preamble.clone().unwrap_or_default() +} + +fn request_user_prompt(request: &CompletionRequest) -> String { + let prompt = request + .chat_history + .iter() + .last() + .expect("completion request should include a prompt message"); + + match prompt { + RigMessage::User { content } => content + .iter() + .find_map(|entry| match entry { + UserContent::Text(text) => Some(text.text.clone()), + _ => None, + }) + .unwrap_or_default(), + other => panic!("expected prompt to be user message, got: {other:?}"), + } +} + +#[async_trait::async_trait] +impl DynModule for EchoDynModule { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { + Vec::new() + } + + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { + Vec::new() + } + + async fn forward( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError> { + let input_field = self + .schema + .input_fields() + .first() + .expect("test schema must have one input field"); + let output_field = self + .schema + .output_fields() + .first() + .expect("test schema must have one output field"); + + let value = self + .schema + .navigate_field(input_field.path(), &input) + .cloned() + .unwrap_or(BamlValue::Null); + + let mut out = IndexMap::new(); + insert_baml_at_path(&mut out, output_field.path(), value); + + Ok(Predicted::new( + BamlValue::Class("EchoOutput".to_string(), out), + CallMetadata::default(), + )) + } +} + +fn node_for(schema: &SignatureSchema) -> Node { + Node { + schema: schema.clone(), + module: Box::new(EchoDynModule { + schema: schema.clone(), + }), + } +} + +#[tokio::test] +async fn program_graph_execute_routes_fields_topologically() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("c", node_for(SignatureSchema::of::())) + .unwrap(); + + graph.connect("a", "answer", "b", "answer").unwrap(); + graph.connect("b", "enriched", "c", "enriched").unwrap(); + + let input = BamlValue::Class( + "QuestionToAnswerInput".to_string(), + IndexMap::from([( + "question".to_string(), + BamlValue::String("smoke-ok".to_string()), + )]), + ); + + let output = graph + .execute(input) + .await + .expect("execution should succeed"); + let output_field = graph + .nodes() + .get("c") + .unwrap() + .schema + .output_field_by_rust("final_answer") + .unwrap(); + let final_value = graph + .nodes() + .get("c") + .unwrap() + .schema + .navigate_field(output_field.path(), &output) + .unwrap(); + + assert_eq!(final_value, &BamlValue::String("smoke-ok".to_string())); +} + +#[tokio::test] +async fn program_graph_execute_cycle_errors() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + + graph.connect("a", "answer", "b", "answer").unwrap(); + graph.connect("b", "enriched", "a", "question").unwrap(); + + let input = BamlValue::Class( + "QuestionToAnswerInput".to_string(), + IndexMap::from([("question".to_string(), BamlValue::String("x".to_string()))]), + ); + + let err = graph + .execute(input) + .await + .expect_err("cycle should fail before execution"); + assert!(matches!(err, GraphError::Cycle)); +} + +#[tokio::test] +async fn program_graph_execute_accepts_input_pseudonode_edges() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("input", "question", "a", "question").unwrap(); + + let input = BamlValue::Class( + "QuestionToAnswerInput".to_string(), + IndexMap::from([( + "question".to_string(), + BamlValue::String("via-input".to_string()), + )]), + ); + + let output = graph + .execute(input) + .await + .expect("execution with input pseudo-node should succeed"); + let output_field = graph + .nodes() + .get("a") + .unwrap() + .schema + .output_field_by_rust("answer") + .unwrap(); + let answer = graph + .nodes() + .get("a") + .unwrap() + .schema + .navigate_field(output_field.path(), &output) + .unwrap(); + assert_eq!(answer, &BamlValue::String("via-input".to_string())); +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn typed_dynamic_prompt_parity_for_predict_and_chain_of_thought() { + let _lock = SETTINGS_LOCK.lock().await; + + let schema = SignatureSchema::of::(); + let typed_input = QuestionToAnswerInput { + question: "What is 2 + 2?".to_string(), + }; + let dynamic_input = typed_input.to_baml_value(); + + let predict_response = response_with_fields(&[("answer", "4")]); + let typed_predict_client = + TestCompletionModel::new(vec![text_response(predict_response.clone())]); + configure_test_lm(typed_predict_client.clone()).await; + let typed_predict = Predict::::new(); + typed_predict + .call(typed_input.clone()) + .await + .expect("typed predict call should succeed"); + let typed_predict_request = typed_predict_client + .last_request() + .expect("typed predict request should be captured"); + + let dynamic_predict_client = + TestCompletionModel::new(vec![text_response(predict_response.clone())]); + configure_test_lm(dynamic_predict_client.clone()).await; + let dynamic_predict = registry::create("predict", schema, serde_json::json!({})) + .expect("predict strategy should create"); + dynamic_predict + .forward(dynamic_input.clone()) + .await + .expect("dynamic predict call should succeed"); + let dynamic_predict_request = dynamic_predict_client + .last_request() + .expect("dynamic predict request should be captured"); + + assert_eq!( + request_system(&typed_predict_request), + request_system(&dynamic_predict_request) + ); + assert_eq!( + request_user_prompt(&typed_predict_request), + request_user_prompt(&dynamic_predict_request) + ); + + let cot_response = response_with_fields(&[("reasoning", "step-by-step"), ("answer", "4")]); + let typed_cot_client = TestCompletionModel::new(vec![text_response(cot_response.clone())]); + configure_test_lm(typed_cot_client.clone()).await; + let typed_cot = ChainOfThought::::new(); + typed_cot + .call(typed_input) + .await + .expect("typed chain_of_thought call should succeed"); + let typed_cot_request = typed_cot_client + .last_request() + .expect("typed chain_of_thought request should be captured"); + + let dynamic_cot_client = TestCompletionModel::new(vec![text_response(cot_response)]); + configure_test_lm(dynamic_cot_client.clone()).await; + let dynamic_cot = registry::create("chain_of_thought", schema, serde_json::json!({})) + .expect("chain_of_thought strategy should create"); + dynamic_cot + .forward(dynamic_input) + .await + .expect("dynamic chain_of_thought call should succeed"); + let dynamic_cot_request = dynamic_cot_client + .last_request() + .expect("dynamic chain_of_thought request should be captured"); + + assert_eq!( + request_system(&typed_cot_request), + request_system(&dynamic_cot_request) + ); + assert_eq!( + request_user_prompt(&typed_cot_request), + request_user_prompt(&dynamic_cot_request) + ); +} + +fn insert_baml_at_path( + root: &mut IndexMap, + path: &dspy_rs::FieldPath, + value: BamlValue, +) { + let parts: Vec<_> = path.iter().collect(); + if parts.is_empty() { + return; + } + insert_baml_at_parts(root, &parts, value); +} + +fn insert_baml_at_parts( + root: &mut IndexMap, + parts: &[&'static str], + value: BamlValue, +) { + if parts.len() == 1 { + root.insert(parts[0].to_string(), value); + return; + } + + let entry = root + .entry(parts[0].to_string()) + .or_insert_with(|| BamlValue::Map(IndexMap::new())); + if !matches!(entry, BamlValue::Map(_) | BamlValue::Class(_, _)) { + *entry = BamlValue::Map(IndexMap::new()); + } + let child = match entry { + BamlValue::Map(map) | BamlValue::Class(_, map) => map, + _ => unreachable!(), + }; + + insert_baml_at_parts(child, &parts[1..], value); +} diff --git a/crates/dspy-rs/tests/test_program_graph_mutation.rs b/crates/dspy-rs/tests/test_program_graph_mutation.rs new file mode 100644 index 00000000..4395662f --- /dev/null +++ b/crates/dspy-rs/tests/test_program_graph_mutation.rs @@ -0,0 +1,215 @@ +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + BamlValue, DynModule, DynPredictor, GraphError, LmError, Node, PredictError, Predicted, + ProgramGraph, Signature, SignatureSchema, +}; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QuestionToAnswer { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct AnswerToFinal { + #[input] + answer: String, + + #[output] + final_answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct AnswerPassthrough { + #[input] + answer: String, + + #[output] + answer_out: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct CountToFinal { + #[input] + count: i64, + + #[output] + final_answer: String, +} + +struct NoopDynModule { + schema: SignatureSchema, +} + +#[async_trait::async_trait] +impl DynModule for NoopDynModule { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { + Vec::new() + } + + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { + Vec::new() + } + + async fn forward( + &self, + _input: BamlValue, + ) -> std::result::Result, PredictError> { + Err(PredictError::Lm { + source: LmError::Provider { + provider: "test".to_string(), + message: "noop".to_string(), + source: None, + }, + }) + } +} + +fn node_for(schema: &SignatureSchema) -> Node { + Node { + schema: schema.clone(), + module: Box::new(NoopDynModule { + schema: schema.clone(), + }), + } +} + +#[test] +fn program_graph_connect_rejects_type_mismatch() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + + let err = graph + .connect("a", "answer", "b", "count") + .expect_err("incompatible edge should be rejected"); + assert!(matches!(err, GraphError::TypeMismatch { .. })); +} + +#[test] +fn program_graph_replace_node_revalidates_incident_edges() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + let err = graph + .replace_node("b", node_for(SignatureSchema::of::())) + .expect_err("replacement should fail when existing edges become invalid"); + assert!(matches!( + err, + GraphError::TypeMismatch { .. } | GraphError::MissingField { .. } + )); + + let b_node = graph.nodes().get("b").expect("original node should remain"); + assert!( + b_node.schema.input_field_by_rust("answer").is_some(), + "failed replacement must keep original node" + ); + assert_eq!(graph.edges().len(), 1); +} + +#[test] +fn program_graph_insert_between_rewires_edge_and_preserves_validity() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + graph + .insert_between( + "a", + "b", + "middle", + node_for(SignatureSchema::of::()), + "answer", + "answer", + ) + .unwrap(); + + assert_eq!(graph.edges().len(), 2); + assert!( + graph + .edges() + .iter() + .any(|edge| edge.from_node == "a" && edge.to_node == "middle") + ); + assert!( + graph + .edges() + .iter() + .any(|edge| edge.from_node == "middle" && edge.to_node == "b") + ); + assert!( + graph + .edges() + .iter() + .all(|edge| !(edge.from_node == "a" && edge.to_node == "b")) + ); +} + +#[test] +fn program_graph_insert_between_missing_fields_is_atomic() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + let passthrough = SignatureSchema::of::(); + let missing_input_schema = + passthrough.with_fields(Vec::new(), passthrough.output_fields().to_vec()); + let err = graph + .insert_between( + "a", + "b", + "bad_middle", + node_for(&missing_input_schema), + "answer", + "answer", + ) + .expect_err("insert_between should fail when inserted node has no input"); + assert!(matches!(err, GraphError::ProjectionMismatch { .. })); + + assert!( + graph.nodes().contains_key("a") && graph.nodes().contains_key("b"), + "original nodes should remain" + ); + assert!( + !graph.nodes().contains_key("bad_middle"), + "failed insert must not leave inserted node behind" + ); + assert_eq!(graph.edges().len(), 1); + assert!( + graph + .edges() + .iter() + .any(|edge| edge.from_node == "a" && edge.to_node == "b") + ); +} diff --git a/crates/dspy-rs/tests/test_program_graph_projection_fit.rs b/crates/dspy-rs/tests/test_program_graph_projection_fit.rs new file mode 100644 index 00000000..c503f4c6 --- /dev/null +++ b/crates/dspy-rs/tests/test_program_graph_projection_fit.rs @@ -0,0 +1,70 @@ +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{Predict, ProgramGraph, Signature, named_parameters_ref}; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct Wrapper { + predictor: Predict, +} + +#[test] +fn from_module_snapshot_then_fit_roundtrip() { + let mut typed = Wrapper { + predictor: Predict::::new(), + }; + + let before = named_parameters_ref(&typed) + .unwrap() + .into_iter() + .find(|(path, _)| path == "predictor") + .unwrap() + .1 + .instruction(); + + let mut graph = ProgramGraph::from_module(&typed).expect("projection should succeed"); + + { + let node = graph + .nodes_mut() + .get_mut("predictor") + .expect("projected node"); + let mut predictors = node.module.predictors_mut(); + let (_, predictor) = predictors + .iter_mut() + .find(|(name, _)| *name == "predictor") + .expect("dynamic predictor should exist"); + predictor.set_instruction("graph-updated".to_string()); + } + + let after_projection = named_parameters_ref(&typed) + .unwrap() + .into_iter() + .find(|(path, _)| path == "predictor") + .unwrap() + .1 + .instruction(); + assert_eq!(after_projection, before); + + graph + .fit(&mut typed) + .expect("fit should apply projected state"); + + let after_fit = named_parameters_ref(&typed) + .unwrap() + .into_iter() + .find(|(path, _)| path == "predictor") + .unwrap() + .1 + .instruction(); + assert_eq!(after_fit, "graph-updated"); +} diff --git a/crates/dspy-rs/tests/test_registry_dynamic_modules.rs b/crates/dspy-rs/tests/test_registry_dynamic_modules.rs new file mode 100644 index 00000000..3384fcae --- /dev/null +++ b/crates/dspy-rs/tests/test_registry_dynamic_modules.rs @@ -0,0 +1,140 @@ +use std::sync::LazyLock; + +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + BamlType, ChatAdapter, LM, LMClient, ProgramGraph, Signature, SignatureSchema, StrategyError, + TestCompletionModel, configure, registry, +}; +use rig::completion::AssistantContent; +use rig::message::Text; +use tokio::sync::Mutex; + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} + +static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); + +fn response_with_fields(fields: &[(&str, &str)]) -> String { + let mut response = String::new(); + for (name, value) in fields { + response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); + } + response.push_str("[[ ## completed ## ]]\n"); + response +} + +fn text_response(text: impl Into) -> AssistantContent { + AssistantContent::Text(Text { text: text.into() }) +} + +#[test] +fn registry_list_contains_predict_chain_of_thought_react() { + let strategies = registry::list(); + assert!(strategies.contains(&"predict")); + assert!(strategies.contains(&"chain_of_thought")); + assert!(strategies.contains(&"react")); +} + +#[test] +fn registry_create_instantiates_builtins() { + let schema = SignatureSchema::of::(); + + let predict = registry::create("predict", schema, serde_json::json!({})) + .expect("predict factory should build"); + assert!(!predict.predictors().is_empty()); + + let cot = registry::create("chain_of_thought", schema, serde_json::json!({})) + .expect("chain_of_thought factory should build"); + assert!(!cot.predictors().is_empty()); + + let react = registry::create("react", schema, serde_json::json!({ "max_steps": 2 })) + .expect("react factory should build"); + let react_predictors = react + .predictors() + .into_iter() + .map(|(name, _)| name) + .collect::>(); + assert_eq!(react_predictors, vec!["action", "extract"]); + + let mut graph = ProgramGraph::new(); + graph + .add_node( + "react_node", + registry::create("react", schema, serde_json::json!({ "max_steps": 1 })) + .expect("react strategy should create"), + ) + .expect("graph should accept registry module directly"); +} + +#[test] +fn registry_create_rejects_invalid_react_config() { + let schema = SignatureSchema::of::(); + let result = registry::create( + "react", + schema, + serde_json::json!({ "max_steps": "invalid" }), + ); + match result { + Ok(_) => panic!("react should reject non-integer max_steps"), + Err(err) => assert!(matches!( + err, + StrategyError::InvalidConfig { strategy, .. } if strategy == "react" + )), + } +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn react_factory_runs_action_then_extract_loop() { + let _lock = SETTINGS_LOCK.lock().await; + unsafe { + std::env::set_var("OPENAI_API_KEY", "test"); + } + + let action_response = response_with_fields(&[ + ("thought", "done"), + ("action", "finish"), + ("action_input", "ready"), + ]); + let extract_response = response_with_fields(&[("answer", "4")]); + let client = TestCompletionModel::new(vec![ + text_response(action_response), + text_response(extract_response), + ]); + + let lm = LM::builder() + .model("openai:gpt-4o-mini".to_string()) + .build() + .await + .unwrap() + .with_client(LMClient::Test(client)) + .await + .unwrap(); + configure(lm, ChatAdapter {}); + + let schema = SignatureSchema::of::(); + let react = registry::create("react", schema, serde_json::json!({ "max_steps": 2 })) + .expect("react factory should build"); + let input = QAInput { + question: "2+2?".to_string(), + } + .to_baml_value(); + + let output = react + .forward(input) + .await + .expect("react dynamic module should execute action then extract") + .into_inner(); + let answer_field = schema.output_field_by_rust("answer").unwrap(); + let answer = schema + .navigate_field(answer_field.path(), &output) + .expect("answer field should exist"); + assert_eq!(answer, &dspy_rs::BamlValue::String("4".to_string())); +} diff --git a/crates/dspy-rs/tests/test_signature_schema.rs b/crates/dspy-rs/tests/test_signature_schema.rs index ded32ef7..71477812 100644 --- a/crates/dspy-rs/tests/test_signature_schema.rs +++ b/crates/dspy-rs/tests/test_signature_schema.rs @@ -61,9 +61,16 @@ fn schema_contains_flattened_paths_and_aliases() { .iter() .map(|field| field.path().iter().collect()) .collect(); - assert_eq!(output_paths, vec![vec!["result", "answer"], vec!["confidence"]]); + assert_eq!( + output_paths, + vec![vec!["result", "answer"], vec!["confidence"]] + ); - let output_names: Vec<&str> = schema.output_fields().iter().map(|field| field.lm_name).collect(); + let output_names: Vec<&str> = schema + .output_fields() + .iter() + .map(|field| field.lm_name) + .collect(); assert_eq!(output_names, vec!["answer", "score"]); let expected = <::Output as BamlType>::baml_output_format(); diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index a6ab9592..895d9fa2 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -415,8 +415,7 @@ fn generate_signature_code( let helper_structs = generate_helper_structs(name, generics, parsed, vis, runtime)?; let input_metadata = generate_field_metadata(name, &parsed.input_fields, "INPUT", runtime)?; - let output_metadata = - generate_field_metadata(name, &parsed.output_fields, "OUTPUT", runtime)?; + let output_metadata = generate_field_metadata(name, &parsed.output_fields, "OUTPUT", runtime)?; let baml_delegation = generate_baml_delegation(name, generics, parsed, runtime); let signature_impl = generate_signature_impl(name, generics, parsed, runtime); @@ -449,7 +448,11 @@ fn generate_helper_structs( if let Some(marker) = &input_marker { input_fields.push(marker.field.clone()); } - let input_new_args: Vec<_> = parsed.input_fields.iter().map(constructor_arg_tokens).collect(); + let input_new_args: Vec<_> = parsed + .input_fields + .iter() + .map(constructor_arg_tokens) + .collect(); let mut input_new_fields: Vec<_> = parsed .input_fields .iter() @@ -464,9 +467,16 @@ fn generate_helper_structs( if let Some(marker) = &output_marker { output_fields.push(marker.field.clone()); } - let output_new_args: Vec<_> = parsed.output_fields.iter().map(constructor_arg_tokens).collect(); - let mut output_new_fields: Vec<_> = - parsed.output_fields.iter().map(constructor_init_tokens).collect(); + let output_new_args: Vec<_> = parsed + .output_fields + .iter() + .map(constructor_arg_tokens) + .collect(); + let mut output_new_fields: Vec<_> = parsed + .output_fields + .iter() + .map(constructor_init_tokens) + .collect(); if let Some(marker) = &output_marker { output_new_fields.push(marker.init.clone()); } @@ -476,8 +486,16 @@ fn generate_helper_structs( if let Some(marker) = &all_marker { all_fields.push(marker.field.clone()); } - let all_new_args: Vec<_> = parsed.all_fields.iter().map(constructor_arg_tokens).collect(); - let mut all_new_fields: Vec<_> = parsed.all_fields.iter().map(constructor_init_tokens).collect(); + let all_new_args: Vec<_> = parsed + .all_fields + .iter() + .map(constructor_arg_tokens) + .collect(); + let mut all_new_fields: Vec<_> = parsed + .all_fields + .iter() + .map(constructor_init_tokens) + .collect(); if let Some(marker) = &all_marker { all_new_fields.push(marker.init.clone()); } @@ -606,10 +624,7 @@ fn generic_marker_field( }) } -fn missing_type_params_for_fields( - generics: &syn::Generics, - fields: &[ParsedField], -) -> Vec { +fn missing_type_params_for_fields(generics: &syn::Generics, fields: &[ParsedField]) -> Vec { let type_params: Vec = generics .type_params() .map(|param| param.ident.clone()) @@ -1011,9 +1026,8 @@ fn parse_augment_options(attrs: &[Attribute]) -> syn::Result { if !attr.path().is_ident("augment") { continue; } - let meta = attr.parse_args_with( - syn::punctuated::Punctuated::::parse_terminated, - )?; + let meta = attr + .parse_args_with(syn::punctuated::Punctuated::::parse_terminated)?; for ident in meta { let name = ident.to_string(); match name.as_str() { diff --git a/docs/module_system_overview.md b/docs/module_system_overview.md new file mode 100644 index 00000000..bbd98eeb --- /dev/null +++ b/docs/module_system_overview.md @@ -0,0 +1,153 @@ +# DSRs Module System — What Changed, What It Enables + +This is a quick overview of the module system redesign. It builds on everything from the paper but adds a typed core and makes Section 1.3 (graph optimization) concrete. + +--- + +## What's changed + +| Before | Now | +|--------|-----| +| `Example` / `Prediction` as primary I/O | Typed `S::Input` / `Predicted` for the typed path; `Example` still used at optimizer/dynamic boundary | +| `#[Signature(cot)]` applies CoT at signature level | `ChainOfThought::::new()` — strategy is the module, not the signature | +| `predict.forward(example).await` | `module.call(input).await?` on the typed path | +| Manual `#[derive(Optimizable)]` + `#[parameter]` | Automatic discovery from struct shape | +| Static `FieldSpec` arrays from macros | `SignatureSchema` derived from types at runtime | +| `CallOutcome` with `.into_result()?` | `Result, PredictError>` — `?` works on stable | +| Section 1.3 graph optimization (future work) | `ProgramGraph` being built now (V6) — walker foundation landed in V5 | + +> **TODO:** Nail down the long-term role of `Example`. It's still load-bearing at the DynPredictor boundary (demo conversion, optimizer manipulation, DataLoader). The typed path doesn't kill it — but its scope and future API need a decision. + +--- + +## What users write + +```rust +#[derive(Signature, Clone)] +/// Answer questions accurately. +struct QA { + #[input] question: String, + #[output] answer: String, +} + +// Pick a strategy by changing the type — everything else stays the same +let module = ChainOfThought::::new(); +let result = module.call(QAInput { question: "2+2?".into() }).await?; +result.reasoning // augmented field — direct access +result.answer // original field — via Deref + +// Swap to ReAct — same call site +let module = ReAct::::builder() + .tool("search", "Search the web", search_fn) + .build(); + +// Batch without changing the module +let results = dsrs::forward_all(&module, inputs, 5).await; + +// Simple transform without impl Module +let confident = module.map(|r| Confident { answer: r.answer, confidence: 0.9 }); +``` + +--- + +## What writing a new library module looks like + +A new augmentation (like adding confidence scoring to any output): +```rust +#[derive(Augmentation)] +#[augment(output, append)] +struct Confidence { + /// Model's self-assessed confidence + confidence: f64, +} +// Done — WithConfidence now exists and composes with any signature +// Users write: Predict> +// They get: result.answer + result.confidence +``` + +A new module (like BestOfN — runs N times, picks best): +```rust +#[derive(Module)] +struct BestOfN { + module: M, // walker sees through — finds all Predict leaves inside + #[skip] n: usize, + #[skip] reward_fn: Box f64 + Send + Sync>, +} + +impl Module for BestOfN where M::Input: Clone { + type Input = M::Input; + type Output = M::Output; + + async fn forward(&self, input: M::Input) -> Result, PredictError> { + let mut best = None; + let mut best_score = f64::NEG_INFINITY; + for _ in 0..self.n { + let result = self.module.call(input.clone()).await?; + let score = (self.reward_fn)(&input, &result); + if score > best_score { best_score = score; best = Some(result); } + } + best.ok_or(PredictError::AllAttemptsFailed) + } +} +``` + +`#[derive(Module)]` makes `module: M` discoverable — optimizers automatically find and tune the Predict leaves inside whatever `M` is. `#[skip]` fields (closures, config) are invisible to the walker. No traversal code, no schema construction. + +--- + +## What optimizers see + +```rust +optimizer.compile(&mut module, trainset, metric).await; +// internally: +let params = named_parameters(&mut module); +// → [("module.predict", &mut dyn DynPredictor), ...] +// mutate demos, instructions, dump/load state — all through DynPredictor handles +// after compile returns, module.call() uses optimized params — no code change +``` + +--- + +## What ProgramGraph enables (Section 1.3 made concrete) + +This is the paper's "Dynamic Workflow Optimization" — pipelines as executable graphs that can restructure themselves. + +**Current state:** the V5 walker (`named_parameters`) can enumerate all Predict leaves in a typed module. Everything else — `ProgramGraph`, `DynModule`, `StrategyFactory`, registry, type-validated edges, topological execution — is being built now in V6. + +```rust +// Project a typed module into a mutable graph (snapshot — original untouched) +let graph = ProgramGraph::from_module(&module); + +// Or build from scratch via registry +let mut graph = ProgramGraph::new(); +let cot = registry::create("chain_of_thought", &schema, Default::default())?; +graph.add_node("cot", cot)?; +graph.connect("input", "question", "cot", "question")?; // edges type-validated +let result = graph.execute(input).await?; + +// After optimization, fit back to the typed module +graph.fit(&mut module); +``` + +**Split** from the paper: a meta planner decides a complex signature should be two steps. It calls `graph.add_node` twice with simpler schemas from `registry::create`, rewires edges with `graph.connect`, removes the original with `graph.replace_node`. Edge type validation catches wiring errors immediately. + +**Fuse**: two adjacent nodes with compatible schemas get replaced by a single node with a merged signature. Same mutation APIs. + +**The key architectural property**: both the typed path and the graph path use the same `SignatureSchema` → `ChatAdapter` → prompt format pipeline. A `Predict` and a `registry::create("predict", &qa_schema, ...)` produce identical prompts. The meta planner can restructure the graph without worrying about prompt divergence. + +**The cycle**: project → optimize (parameter and/or structural) → fit-back → evaluate → repeat. The graph is the optimizer's scratch space; the user's typed module is the stable interface. + +--- + +## Layer stack + +``` +You're here What you touch What's invisible to you +───────────────────────────────────────────────────────────────────────── +App developer Signature, module.call() Everything below +Module author #[derive(Module)], forward() Discovery, graph +Optimizer dev named_parameters, DynPredictor Graph, registry +Meta planner ProgramGraph, registry (bottom layer — Section 1.3) +``` + +Each layer only exists if you need it. Simple usage never instantiates the graph layer. diff --git a/docs/plans/modules/human_audit_fuckery.md b/docs/plans/modules/human_audit_fuckery.md index cb1a922a..8ad2245e 100644 --- a/docs/plans/modules/human_audit_fuckery.md +++ b/docs/plans/modules/human_audit_fuckery.md @@ -8,3 +8,6 @@ really gotta do some deep research on facet and if we're using it right or not t legacy and cruft. these are things we want to kill kill kill die die die. as noted in shapes, but i think some of this was unjustly deferred. we gotta fix that shit boss 3) +`#[derive(Facet)]` on module structs is an implementation leak. module authors shouldn't know what Facet is — the concept is "this is a module with discoverable parameters" (like `class MyModule(dspy.Module):` in DSPy). should be `#[derive(Module)]` that implies Facet under the hood. cleanup pass question: new proc macro that emits Facet + possibly validates struct shape, or just a re-export alias? either way the user-facing surface should say Module, not Facet. + +4) diff --git a/docs/plans/modules/slice_6.md b/docs/plans/modules/slice_6.md new file mode 100644 index 00000000..9a7d6129 --- /dev/null +++ b/docs/plans/modules/slice_6.md @@ -0,0 +1,662 @@ +### Summary +Slice 6 delivers the full V6 dynamic graph path on top of Slice 5: [NEW] `DynModule` + [NEW] strategy registry/factories, [NEW] `ProgramGraph` mutation/validation/execution, and typed-module projection with the locked snapshot-then-fit-back contract: [NEW] immutable `from_module(&module)` built on [NEW] `named_parameters_ref`, followed by [NEW] `graph.fit(&mut module)` for mutable write-back. This explicitly resolves the current API tension between existing mutable discovery (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72`) and design-time immutable projection, while keeping C8 locked to annotation-first edge derivation (no trace-inferred wiring in this slice). The implementation path stays shortest-correct: reuse the existing accessor bridge where possible, and record all spec-divergent shortcuts as migration debt. + +### Implementation Steps +1. Add immutable predictor discovery to support snapshot projection without mutably borrowing typed modules. + - Files to modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:33` + ```rust + pub struct PredictAccessorFns { + pub accessor: fn(*mut ()) -> *mut dyn DynPredictor, + } + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:48` + ```rust + pub fn register_predict_accessor( + shape: &'static Shape, + accessor: fn(*mut ()) -> *mut dyn DynPredictor, + ) + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72` + ```rust + pub fn named_parameters( + module: &mut M, + ) -> std::result::Result, NamedParametersError> + where + M: for<'a> Facet<'a>, + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:34` + ```rust + fn predict_dyn_accessor(value: *mut ()) -> *mut dyn DynPredictor + where + S: Signature, + ``` + - New signatures: + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` + ```rust + pub struct PredictAccessorFns { + pub accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, + pub accessor_ref: fn(*const ()) -> *const dyn DynPredictor, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` + ```rust + pub fn register_predict_accessor( + shape: &'static Shape, + accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, + accessor_ref: fn(*const ()) -> *const dyn DynPredictor, + ) + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` + ```rust + pub fn named_parameters_ref( + module: &M, + ) -> std::result::Result, NamedParametersError> + where + M: for<'a> Facet<'a>, + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` + ```rust + fn predict_dyn_accessor_ref(value: *const ()) -> *const dyn DynPredictor + where + S: Signature, + ``` + - Imports needed: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs`: add `use bamltype::facet_reflect::{Peek, Poke};` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs`: no new crate imports; update `register_predict_accessor(...)` call sites to pass mutable and immutable accessors. + - Existing code that must change: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:58` (`pub fn new() -> Self`) and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:288` (`pub fn build(self) -> Predict`) must register both accessor function pointers. + - Migration debt to record (explicit): + - [NEW] Slice 5 currently resolves predictor accessor functions via a global `ShapeId -> PredictAccessorFns` registry, while S2's preferred end-state is shape-local Facet attr payload decoding (`attr.get_as::()`). + - Arbitration resolution: + - Keep the global accessor registry bridge in V6 for shortest-correct delivery; do not migrate to shape-local attr payload decoding in this slice. + - Keep this as explicit migration debt for the post-implementation cleanup pass. + +2. Add schema cloning and field lookup APIs required by strategy factories and graph validation. + - Files to modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:74` + ```rust + pub struct SignatureSchema { + instruction: &'static str, + input_fields: Box<[FieldSchema]>, + output_fields: Box<[FieldSchema]>, + output_format: Arc, + } + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:139` + ```rust + pub fn input_fields(&self) -> &[FieldSchema] + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:143` + ```rust + pub fn output_fields(&self) -> &[FieldSchema] + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:166` + ```rust + pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> + ``` + - New signatures: + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` + ```rust + pub(crate) fn from_parts( + instruction: &'static str, + input_fields: Vec, + output_fields: Vec, + output_format: Arc, + ) -> Self + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` + ```rust + pub fn input_field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` + ```rust + pub fn output_field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` + ```rust + pub fn with_fields( + &self, + input_fields: Vec, + output_fields: Vec, + ) -> Self + ``` + - Imports needed: + - Existing `use std::sync::{Arc, Mutex, OnceLock};` at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:3` remains sufficient. + - Existing code that must change: + - Add `Clone` to `SignatureSchema` derive so factories can snapshot and transform schemas without mutating the global cache entry returned by `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:82` (`pub fn of() -> &'static Self`). + - Keep `from_parts` crate-private to avoid reintroducing manual public schema construction across P1/P2 boundaries (R3/R9). + +3. Add the dynamic strategy layer (`DynModule`, `StrategyFactory`, registry APIs) with inventory auto-registration. + - Files to create/modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/Cargo.toml` + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:2` + ```rust + pub mod dyn_predictor; + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:13` + ```rust + pub use dyn_predictor::*; + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/Cargo.toml:16` + ```toml + [dependencies] + ``` + - New signatures: + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` + ```rust + pub enum StrategyError { + UnknownStrategy { name: String }, + InvalidConfig { strategy: &'static str, reason: String }, + BuildFailed { strategy: &'static str, reason: String }, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` + ```rust + pub type StrategyConfig = serde_json::Value; + pub type StrategyConfigSchema = serde_json::Value; + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` + ```rust + #[async_trait::async_trait] + pub trait DynModule: Send + Sync { + fn schema(&self) -> &SignatureSchema; + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)>; + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)>; + async fn forward( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError>; + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` + ```rust + pub trait StrategyFactory: Send + Sync { + fn name(&self) -> &'static str; + fn config_schema(&self) -> StrategyConfigSchema; + fn create( + &self, + base_schema: &SignatureSchema, + config: StrategyConfig, + ) -> std::result::Result, StrategyError>; + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` + ```rust + pub mod registry { + pub fn get(name: &str) -> std::result::Result<&'static dyn StrategyFactory, StrategyError>; + pub fn create( + name: &str, + schema: &SignatureSchema, + config: StrategyConfig, + ) -> std::result::Result, StrategyError>; + pub fn list() -> Vec<&'static str>; + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` + ```rust + pub struct StrategyFactoryRegistration { + pub factory: &'static dyn StrategyFactory, + } + inventory::collect!(StrategyFactoryRegistration); + ``` + - Imports needed: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs`: `use crate::{BamlValue, PredictError, Predicted, SignatureSchema}; use crate::core::DynPredictor;` + - Add `inventory = "0.3"` under `/Users/darin/src/personal/DSRs/crates/dspy-rs/Cargo.toml` `[dependencies]` block. + - Existing code that must change: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` must add [NEW] `pub mod dyn_module;` and [NEW] `pub use dyn_module::*;`. + +4. Implement concrete schema-driven dynamic strategy modules and factories (`predict`, `chain_of_thought`, `react`) and register them. + - Files to create/modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` + - Execution order note: + - Implement Step 5 before this step. `SchemaPredictor` and dynamic factory modules depend on new untyped adapter helpers for prompt/parse parity. + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:11` + ```rust + pub trait DynPredictor: Send + Sync { + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:20` + ```rust + pub struct ChainOfThought { + predictor: Predict>, + } + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/react.rs:51` + ```rust + pub struct ReAct + where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, + { + action: Predict, + extract: Predict>, + #[facet(skip, opaque)] + tools: Vec>, + #[facet(skip)] + max_steps: usize, + } + ``` + - New signatures: + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + pub struct SchemaPredictor { + schema: SignatureSchema, + demos: Vec, + instruction_override: Option, + tools: Vec>, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + #[async_trait::async_trait] + impl DynPredictor for SchemaPredictor { /* full DynPredictor surface */ } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + pub struct PredictDynModule { + schema: SignatureSchema, + predictor: SchemaPredictor, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + pub struct ChainOfThoughtDynModule { + schema: SignatureSchema, + predictor: SchemaPredictor, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + pub struct ReActDynModule { + schema: SignatureSchema, + action: SchemaPredictor, + extract: SchemaPredictor, + max_steps: usize, + tools: Vec>, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + pub struct PredictFactory; + pub struct ChainOfThoughtFactory; + pub struct ReActFactory; + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` + ```rust + inventory::submit! { StrategyFactoryRegistration { factory: &PredictFactory } } + inventory::submit! { StrategyFactoryRegistration { factory: &ChainOfThoughtFactory } } + inventory::submit! { StrategyFactoryRegistration { factory: &ReActFactory } } + ``` + - Imports needed: + - `use crate::core::{DynModule, DynPredictor, PredictState, StrategyConfig, StrategyConfigSchema, StrategyFactory, StrategyFactoryRegistration};` + - `use crate::{BamlValue, Chat, ChatAdapter, Example, PredictError, Predicted, SignatureSchema, GLOBAL_SETTINGS};` + - Existing code that must change: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` must add [NEW] `pub mod dyn_factories;` and [NEW] `pub use dyn_factories::*;`. + - Migration debt to record (explicit): + - [NEW] `ReActFactory` config parsing is JSON-first (`StrategyConfig = serde_json::Value`) and does not yet provide typed tool deserialization; tools remain runtime-provided. + +5. Add untyped adapter helpers so dynamic modules execute through the same prompt/parse path as typed modules. + - Files to modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:463` + ```rust + pub fn build_system( + &self, + schema: &crate::SignatureSchema, + instruction_override: Option<&str>, + ) -> Result + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:563` + ```rust + pub fn format_input( + &self, + schema: &crate::SignatureSchema, + input: &I, + ) -> String + where + I: BamlType + for<'a> facet::Facet<'a>, + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:654` + ```rust + pub fn parse_output_with_meta( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result<(O, IndexMap), ParseError> + where + O: BamlType + for<'a> facet::Facet<'a>, + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:968` + ```rust + fn value_for_path_relaxed<'a>( + value: &'a BamlValue, + path: &crate::FieldPath, + ) -> Option<&'a BamlValue> + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:998` + ```rust + fn insert_baml_at_path( + root: &mut bamltype::baml_types::BamlMap, + path: &crate::FieldPath, + value: BamlValue, + ) + ``` + - New signatures: + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` + ```rust + pub fn format_input_baml( + &self, + schema: &crate::SignatureSchema, + input: &BamlValue, + ) -> String + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` + ```rust + pub fn format_output_baml( + &self, + schema: &crate::SignatureSchema, + output: &BamlValue, + ) -> String + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` + ```rust + pub fn parse_output_baml_with_meta( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result<(BamlValue, IndexMap), ParseError> + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` + ```rust + pub fn parse_output_baml( + &self, + schema: &crate::SignatureSchema, + response: &Message, + ) -> std::result::Result + ``` + - Imports needed: + - Existing imports in `chat.rs` already include `BamlValue`, `Message`, `IndexMap`, `FieldMeta`; no new external crate dependency needed. + - Existing code that must change: + - `value_for_path_relaxed` and `insert_baml_at_path` become `pub(crate)` helpers or stay private but are called by the new public BAML APIs. + +6. Implement `ProgramGraph` mutation/validation/execution and lock projection to immutable snapshot + mutable fit-back. + - Files to create/modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/trace/dag.rs:62` + ```rust + pub fn new() -> Self + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/trace/dag.rs:66` + ```rust + pub fn add_node( + &mut self, + node_type: NodeType, + inputs: Vec, + input_data: Option, + ) -> usize + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72` + ```rust + pub fn named_parameters( + module: &mut M, + ) -> std::result::Result, NamedParametersError> + where + M: for<'a> Facet<'a>, + ``` + - New signatures: + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub struct ProgramGraph { + nodes: indexmap::IndexMap, + edges: Vec, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub struct Node { + pub schema: SignatureSchema, + pub module: Box, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub struct Edge { + pub from_node: String, + pub from_field: String, + pub to_node: String, + pub to_field: String, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub enum GraphError { /* duplicate node, missing node, missing field, type mismatch, cycle, ambiguous sink, projection mismatch, execution */ } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + impl ProgramGraph { + pub fn new() -> Self; + pub fn add_node(&mut self, name: impl Into, node: Node) -> Result<(), GraphError>; + pub fn remove_node(&mut self, name: &str) -> Result; + pub fn connect( + &mut self, + from: &str, + from_field: &str, + to: &str, + to_field: &str, + ) -> Result<(), GraphError>; + pub fn replace_node(&mut self, name: &str, node: Node) -> Result<(), GraphError>; + pub fn insert_between( + &mut self, + from: &str, + to: &str, + inserted_name: impl Into, + inserted_node: Node, + from_field: &str, + to_field: &str, + ) -> Result<(), GraphError>; + pub async fn execute(&self, input: BamlValue) -> Result; + pub fn from_module(module: &M) -> Result + where + M: for<'a> Facet<'a>; + pub fn fit(&self, module: &mut M) -> Result<(), GraphError> + where + M: for<'a> Facet<'a>; + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub struct GraphEdgeAnnotation { + pub from_node: &'static str, + pub from_field: &'static str, + pub to_node: &'static str, + pub to_field: &'static str, + } + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub fn register_graph_edge_annotations( + shape: &'static facet::Shape, + annotations: &'static [GraphEdgeAnnotation], + ) + ``` + - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` + ```rust + pub trait TypeIrAssignabilityExt { + fn is_assignable_to(&self, to: &TypeIR) -> bool; + } + ``` + - Imports needed: + - `use crate::core::{named_parameters, named_parameters_ref, DynModule, DynPredictor, PredictState};` + - `use crate::{BamlValue, SignatureSchema, TypeIR};` + - `use indexmap::IndexMap;` + - `use std::collections::{HashMap, VecDeque};` + - Existing code that must change: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` must add [NEW] `pub mod program_graph;` and [NEW] `pub use program_graph::*;`. + - Concrete lock for this slice: + - `from_module(&module)` only snapshots predictor state via [NEW] `named_parameters_ref`. + - `fit(&mut module)` is the only mutable write-back path and applies node predictor state back to typed leaves by path. + - Edge derivation in `from_module` consumes only [NEW] registered annotations; no trace inference is implemented in V6. + - Arbitration resolution: + - Use a global edge-annotation registration table keyed by shape ID in V6 as the single annotation source. + - Do not mix sources (no concurrent shape-local attr decoding in this slice). + - Migration debt to record (explicit): + - [NEW] `TypeIrAssignabilityExt::is_assignable_to` starts conservative (exact match + optional-nullable widening + identical unions). Broader subtyping stays deferred debt until a native method exists on `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs:29` (`TypeIR`). + - [NEW] Edge annotations are runtime-registered in V6; migrating to shape-local Facet attr storage is deferred to cleanup. + +7. Wire crate exports and keep API discoverable from the current top-level re-export path. + - Files to modify: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` + - Existing signatures (copied): + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:12` + ```rust + pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; + ``` + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs:16` + ```rust + pub use core::*; + ``` + - New signatures: + - [NEW] `pub mod dyn_module;` + - [NEW] `pub mod dyn_factories;` + - [NEW] `pub mod program_graph;` + - [NEW] `pub use dyn_module::*;` + - [NEW] `pub use dyn_factories::*;` + - [NEW] `pub use program_graph::*;` + - Imports needed: + - None (module wiring only). + - Existing code that must change: + - No `lib.rs` edits required because `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs:16` already re-exports all of `core::*`. + +8. Add regression and acceptance tests for registry, graph mutation/validation, execution, and snapshot-fit projection. + - Files to create: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_ref.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_registry_dynamic_modules.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_projection_fit.rs` [NEW] + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_annotations.rs` [NEW] + - Existing signatures (copied) used by tests: + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72` (`named_parameters`) + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:58` (`pub fn new() -> Self`) + - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/settings.rs:27` (`pub fn configure(lm: LM, adapter: impl Adapter + 'static)`). + - New signatures: + - [NEW] test fns listed in Test Plan below. + - Imports needed: + - Test files use existing test LM scaffolding types from `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:3-43` (`LM`, `LMClient`, `TestCompletionModel`, `ChatAdapter`, `configure`). + - Existing code that must change: + - None outside newly added tests. + +### Test Plan +1. [NEW] `named_parameters_ref_discovers_same_paths_as_named_parameters` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_ref.rs` + - Asserts: + - [NEW] `named_parameters_ref(&module)` returns the same ordered path list as existing `named_parameters(&mut module)` from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72`. + - [NEW] Immutable handles expose `instruction()` and `demos_as_examples()` but cannot mutate. + - Setup/fixtures: + - Reuse existing typed fixture pattern from `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters.rs:7-37`. + - Expected behavior: + - Deterministic path parity and no mutable borrow requirement for projection-time discovery. + +2. [NEW] `registry_list_contains_predict_chain_of_thought_react` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_registry_dynamic_modules.rs` + - Asserts: + - [NEW] `registry::list()` includes `"predict"`, `"chain_of_thought"`, and `"react"`. + - [NEW] `registry::create(name, schema, config)` returns `Box` for each built-in strategy. + - Setup/fixtures: + - Use existing schema source `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:82` (`SignatureSchema::of::()`) via a local test signature. + - Expected behavior: + - Auto-registration works at link time and factories are instantiable by string name. + +3. [NEW] `program_graph_connect_rejects_type_mismatch` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` + - Asserts: + - [NEW] `ProgramGraph::connect(...)` returns [NEW] `GraphError::TypeMismatch` when source `TypeIR` is not assignable to target `TypeIR`. + - Setup/fixtures: + - Build two [NEW] `Node` values from two local test signatures with incompatible fields via `SignatureSchema::of::()`. + - Expected behavior: + - Invalid edges are rejected at insertion time; graph state remains unchanged. + +4. [NEW] `program_graph_replace_node_revalidates_incident_edges` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` + - Asserts: + - [NEW] `replace_node` fails when existing incoming/outgoing edges become incompatible. + - [NEW] On failure, original node and edges remain intact. + - Setup/fixtures: + - Start from a valid 2-node graph, then replace one node with incompatible schema. + - Expected behavior: + - Revalidation runs on all incident edges before commit. + +5. [NEW] `program_graph_insert_between_rewires_edge_and_preserves_validity` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` + - Asserts: + - [NEW] `insert_between(...)` removes the direct `from -> to` edge and inserts two validated edges through the inserted node. + - [NEW] On validation failure, graph topology remains unchanged. + - Setup/fixtures: + - Start with a valid single edge graph, then insert a compatible node and an incompatible node. + - Expected behavior: + - F10 mutation affordance `insert_between` behaves atomically. + +6. [NEW] `program_graph_execute_routes_fields_topologically` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` + - Asserts: + - [NEW] Execution computes topological order and routes edge fields into downstream inputs. + - [NEW] Final returned `BamlValue` equals designated sink node output. + - Setup/fixtures: + - Use deterministic test LM fixture pattern from `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:27-43`. + - Build 3-node graph (`predict -> chain_of_thought -> predict`) with explicit edges. + - Expected behavior: + - Stable order, correct piping, no reliance on insertion order. + +7. [NEW] `program_graph_execute_cycle_errors` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` + - Asserts: + - [NEW] A cycle in edges returns [NEW] `GraphError::Cycle` before any node forward call. + - Setup/fixtures: + - Create 2 nodes and connect both directions. + - Expected behavior: + - Deterministic cycle rejection from topological-sort stage. + +8. [NEW] `from_module_snapshot_then_fit_roundtrip` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_projection_fit.rs` + - Asserts: + - [NEW] `ProgramGraph::from_module(&module)` succeeds without mutable borrow. + - [NEW] Mutating projected node predictor state does not mutate typed module immediately. + - [NEW] `graph.fit(&mut module)` applies updated predictor state back to the typed module. + - Setup/fixtures: + - Use a typed module fixture like `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:20` (`ChainOfThought`). + - Expected behavior: + - Lock is enforced: immutable projection + explicit mutable write-back. + +9. [NEW] `from_module_uses_annotation_edges_only` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_annotations.rs` + - Asserts: + - [NEW] With registered [NEW] `GraphEdgeAnnotation`s, `from_module` creates the exact annotated edges. + - [NEW] Without registered annotations, `from_module` creates nodes but no inferred edges. + - Setup/fixtures: + - Register annotations with [NEW] `register_graph_edge_annotations(...)` for a test module shape. + - Expected behavior: + - C8 lock holds: annotation-first only, trace inference deferred. + +10. [NEW] `typed_dynamic_prompt_parity_for_predict_and_chain_of_thought` + - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` + - Asserts: + - [NEW] Dynamic `PredictDynModule` system/user prompt text matches typed path output from existing `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:463` (`build_system`) and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:563` (`format_input`) for equivalent schema/input. + - [NEW] Dynamic `ChainOfThoughtDynModule` prompt text matches typed `ChainOfThought` prompt text for equivalent base signature/input. + - Setup/fixtures: + - One signature fixture + canonical `BamlValue` input; construct both predict and chain-of-thought strategy nodes from the same base schema. + - Expected behavior: + - R8 parity is preserved for both identity strategy (`predict`) and transformed schema strategy (`chain_of_thought`). diff --git a/docs/plans/modules/slice_6_refinery.md b/docs/plans/modules/slice_6_refinery.md new file mode 100644 index 00000000..9da7b6dd --- /dev/null +++ b/docs/plans/modules/slice_6_refinery.md @@ -0,0 +1,51 @@ +# Slice 6 Plan Refinery (Ground-Truth Check) + +Verified against: +- `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (including V6) +- `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md` +- `/Users/darin/src/personal/DSRs/docs/specs/modules/dspy_module_system_reference/` +- `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md` +- `/Users/darin/src/personal/DSRs/docs/specs/modules/calling_convention_revision.md` +- `/Users/darin/src/personal/DSRs/docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md` +- `/Users/darin/src/personal/DSRs/docs/specs/modules/spikes/S5-facet-walker-containers.md` +- `/Users/darin/src/personal/DSRs/docs/specs/modules/spikes/S8-facet-flatten-metadata.md` + +## Per-Criterion Findings + +### 1. Spec fidelity: **FAIL** +- The plan now covers core V6 obligations (F9/F10): registry/factories, graph mutation/validation/execution, typed projection, and explicit snapshot-then-fit-back (`from_module` + `fit`). +- Calling-convention alignment is preserved (`Result, PredictError>` for dynamic forward surfaces). +- Remaining mismatch vs ground truth: S2's preferred mechanism is shape-local Facet attr payload decoding for accessor handles; current plan intentionally keeps the global accessor registry bridge and records it as migration debt. +- Remaining mismatch vs C8 implementation detail: edge-annotation storage mechanism (shape-local attrs vs global registry) is not resolved; the plan now marks this explicitly for arbitration. + +### 2. Shape compliance: **FAIL** +- Good: `DynModule`, `StrategyFactory`, `ProgramGraph`, and edge-validation surfaces match Shape F9/F10 intent. +- Good: `SignatureSchema::from_parts` was tightened to `pub(crate)` to avoid reopening public manual schema authoring, which helps R3/R9 boundaries. +- Blocking uncertainty remains on two shape-level mechanisms: + - Predictor accessor extraction path (S2 mechanism A vs registry bridge). + - Edge-annotation storage location for C8. + +### 3. Breadboard consistency: **PASS** +- The plan now explicitly respects owner-resolved lock semantics: + - Immutable projection: `ProgramGraph::from_module(&module)`. + - Explicit mutable application: `graph.fit(&mut module)`. +- C8 lock is explicit: annotation-first edge derivation, no trace inference in V6. +- Added `insert_between` coverage so F10 mutation affordances are not under-specified. + +### 4. Sequencing: **PASS** +- Original hidden dependency (dynamic factories needing untyped adapter helpers) is now addressed with explicit execution ordering: implement adapter helper step before factory implementations. +- Remaining step order is coherent: discovery/schema → dynamic trait layer → adapter untyped helpers → factory modules → graph → exports → tests. + +### 5. API design: **PASS** +- Public dynamic registry/factory APIs now use typed errors (`StrategyError`) instead of unscoped `anyhow::Result`. +- Added missing `format_output_baml(...)` helper for dynamic demo formatting parity, which completes the adapter-building-block surface for untyped execution. +- Parity tests now include both identity strategy (`predict`) and transformed strategy (`chain_of_thought`). + +### 6. Over-engineering: **PASS** +- Scope stays focused on V6: only `predict`, `chain_of_thought`, and `react` factories are planned. +- Public migration scaffolding was reduced (`from_parts` no longer public). +- Shortcuts that intentionally diverge from end-state spec are called out as migration debt instead of hidden complexity. + +## Arbitration Required Before Coding +- Resolved: keep the global accessor registry bridge for V6; defer shape-local Facet attr payload decoding migration to post-implementation cleanup debt. +- Resolved: use the global edge-annotation registry keyed by shape ID in V6 as the single annotation source; defer shape-local annotation storage migration to cleanup debt. diff --git a/docs/plans/modules/slice_6_research.md b/docs/plans/modules/slice_6_research.md new file mode 100644 index 00000000..13430628 --- /dev/null +++ b/docs/plans/modules/slice_6_research.md @@ -0,0 +1,563 @@ +### Spec Requirements +- U38: Implement `registry::create(name, &schema, config)` to return `Box`. +- U39: Implement `registry::list()` to return registered strategy names. +- U40: Implement `DynModule::predictors()` and `DynModule::predictors_mut()` to expose internal `DynPredictor` handles. +- U41: Implement `ProgramGraph::new()` with empty node/edge stores. +- U42: Implement `ProgramGraph::add_node(name, node) -> Result`. +- U43: Implement `ProgramGraph::connect(from, from_field, to, to_field) -> Result` with edge validation. +- U44: Implement `ProgramGraph::replace_node(name, node) -> Result` with re-validation of affected edges. +- U45: Implement `ProgramGraph::execute(input).await -> Result`. +- U46: Implement `ProgramGraph::from_module(&module) -> ProgramGraph` reusing the F6 walker. +- N17: Strategy factories must transform `SignatureSchema` (reasoning prepend, action/extract schema shaping, etc.). +- N24: Edge insertion/replacement must validate field type compatibility via `TypeIR::is_assignable_to(&to_type)` semantics. +- N25: Graph execution must compute topological order from `nodes` + `edges`. +- N26: Graph execution must pipe `BamlValue` output fields into downstream input fields by edges. +- N27: Strategy factories must auto-register at link time (inventory-style distributed registration). +- F9: Provide `DynModule` and `StrategyFactory` as the dynamic strategy layer. +- F10: Provide `ProgramGraph`, `Node`, and `Edge` with graph mutation APIs (`add_node`, `remove_node`, `replace_node`, `connect`, `insert_between`) and execution. +- R7: Dynamic graph must be constructable, mutable, validated, and executable. +- R8: Typed modules and dynamic graph nodes must produce identical prompts for the same logical signature. +- R14: Dynamic nodes must be instantiable from a name+schema+config strategy registry. +- Design §10: Registry must expose `get`, `create`, and `list`; factories define `name`, `config_schema`, and `create`. +- Design §11: Program graph nodes hold `(schema, module)`, edges are typed field routes, and execution delegates node internals to `DynModule::forward`. + +### Existing Code Inventory +- [Module] `pub mod dyn_predictor;` — `crates/dspy-rs/src/core/mod.rs:2` +- [Module] `pub mod module;` — `crates/dspy-rs/src/core/mod.rs:5` +- [Module] `mod schema;` — `crates/dspy-rs/src/core/mod.rs:7` +- [Module] `pub mod signature;` — `crates/dspy-rs/src/core/mod.rs:9` +- [Module] `pub mod chain_of_thought;` — `crates/dspy-rs/src/modules/mod.rs:1` +- [Module] `pub mod react;` — `crates/dspy-rs/src/modules/mod.rs:2` +- [Module] `pub mod dag;` — `crates/dspy-rs/src/trace/mod.rs:2` +- [Module] `pub mod executor;` — `crates/dspy-rs/src/trace/mod.rs:3` + +- [Trait] `crates/dspy-rs/src/core/module.rs:9` +```rust +pub trait Module: Send + Sync { + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; + + async fn forward(&self, input: Self::Input) -> Result, PredictError>; + + async fn call(&self, input: Self::Input) -> Result, PredictError> { + self.forward(input).await + } +} +``` + +- [Trait] `crates/dspy-rs/src/core/module.rs:82` +```rust +pub trait Optimizable { + fn get_signature(&self) -> &dyn MetaSignature { + todo!() + } + + fn parameters(&mut self) -> IndexMap; + + fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { + todo!() + } +} +``` + +- [Trait] `crates/dspy-rs/src/core/dyn_predictor.rs:11` +```rust +pub trait DynPredictor: Send + Sync { + fn schema(&self) -> &SignatureSchema; + fn instruction(&self) -> String; + fn set_instruction(&mut self, instruction: String); + fn demos_as_examples(&self) -> Vec; + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; + fn dump_state(&self) -> PredictState; + fn load_state(&mut self, state: PredictState) -> Result<()>; + async fn forward_untyped( + &self, + input: BamlValue, + ) -> std::result::Result, PredictError>; +} +``` + +- [Type] `crates/dspy-rs/src/core/dyn_predictor.rs:26` +```rust +pub struct PredictState { + pub demos: Vec, + pub instruction_override: Option, +} +``` + +- [Type] `crates/dspy-rs/src/core/dyn_predictor.rs:33` +```rust +pub struct PredictAccessorFns { + pub accessor: fn(*mut ()) -> *mut dyn DynPredictor, +} +``` + +- [Function] `crates/dspy-rs/src/core/dyn_predictor.rs:48` +```rust +pub fn register_predict_accessor( + shape: &'static Shape, + accessor: fn(*mut ()) -> *mut dyn DynPredictor, +) +``` + +- [Type] `crates/dspy-rs/src/core/dyn_predictor.rs:60` +```rust +pub enum NamedParametersError { + Container { path: String, ty: &'static str }, + MissingAttr { path: String }, +} +``` + +- [Function] `crates/dspy-rs/src/core/dyn_predictor.rs:72` +```rust +pub fn named_parameters( + module: &mut M, +) -> std::result::Result, NamedParametersError> +where + M: for<'a> Facet<'a>, +``` + +- [Trait] `crates/dspy-rs/src/core/signature.rs:34` +```rust +pub trait Signature: Send + Sync + 'static { + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; + + fn instruction() -> &'static str; + + fn schema() -> &'static SignatureSchema + where + Self: Sized, + { + SignatureSchema::of::() + } + + fn input_shape() -> &'static Shape; + fn output_shape() -> &'static Shape; + + fn input_field_metadata() -> &'static [FieldMetadataSpec]; + fn output_field_metadata() -> &'static [FieldMetadataSpec]; + + fn output_format_content() -> &'static OutputFormatContent + where + Self: Sized, + { + Self::schema().output_format() + } +} +``` + +- [Type] `crates/dspy-rs/src/core/schema.rs:52` +```rust +pub struct FieldSchema { + pub lm_name: &'static str, + pub rust_name: String, + pub docs: String, + pub type_ir: TypeIR, + pub shape: &'static Shape, + pub path: FieldPath, + pub constraints: &'static [ConstraintSpec], + pub format: Option<&'static str>, +} +``` + +- [Type] `crates/dspy-rs/src/core/schema.rs:74` +```rust +pub struct SignatureSchema { + instruction: &'static str, + input_fields: Box<[FieldSchema]>, + output_fields: Box<[FieldSchema]>, + output_format: Arc, +} +``` + +- [Function] `crates/dspy-rs/src/core/schema.rs:82` +```rust +pub fn of() -> &'static Self +``` + +- [Function] `crates/dspy-rs/src/core/schema.rs:139` +```rust +pub fn input_fields(&self) -> &[FieldSchema] +``` + +- [Function] `crates/dspy-rs/src/core/schema.rs:143` +```rust +pub fn output_fields(&self) -> &[FieldSchema] +``` + +- [Function] `crates/dspy-rs/src/core/schema.rs:151` +```rust +pub fn navigate_field<'a>( + &self, + path: &FieldPath, + root: &'a BamlValue, +) -> Option<&'a BamlValue> +``` + +- [Function] `crates/dspy-rs/src/core/schema.rs:166` +```rust +pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> +``` + +- [Type] `crates/dspy-rs/src/predictors/predict.rs:47` +```rust +pub struct Predict { + #[facet(skip, opaque)] + tools: Vec>, + #[facet(skip, opaque)] + demos: Vec>, + instruction_override: Option, + #[facet(skip, opaque)] + _marker: PhantomData, +} +``` + +- [Function] `crates/dspy-rs/src/predictors/predict.rs:34` +```rust +fn predict_dyn_accessor(value: *mut ()) -> *mut dyn DynPredictor +where + S: Signature, +``` + +- [Function] `crates/dspy-rs/src/predictors/predict.rs:58` +```rust +pub fn new() -> Self +``` + +- [Function] `crates/dspy-rs/src/predictors/predict.rs:472` +```rust +pub async fn forward_untyped( + &self, + input: BamlValue, +) -> Result, PredictError> +``` + +- [Impl] `crates/dspy-rs/src/predictors/predict.rs:494` +```rust +impl DynPredictor for Predict +where + S: Signature, + S::Input: BamlType, + S::Output: BamlType, +``` + +- [Type] `crates/dspy-rs/src/modules/chain_of_thought.rs:20` +```rust +pub struct ChainOfThought { + predictor: Predict>, +} +``` + +- [Function] `crates/dspy-rs/src/modules/chain_of_thought.rs:25` +```rust +pub fn new() -> Self +``` + +- [Impl] `crates/dspy-rs/src/modules/chain_of_thought.rs:62` +```rust +impl Module for ChainOfThought +where + S: Signature + Clone, + S::Input: BamlType, + S::Output: BamlType, +``` + +- [Type] `crates/dspy-rs/src/modules/react.rs:51` +```rust +pub struct ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +{ + action: Predict, + extract: Predict>, + #[facet(skip, opaque)] + tools: Vec>, + #[facet(skip)] + max_steps: usize, +} +``` + +- [Function] `crates/dspy-rs/src/modules/react.rs:71` +```rust +pub fn new() -> Self +``` + +- [Impl] `crates/dspy-rs/src/modules/react.rs:243` +```rust +impl Module for ReAct +where + S: Signature, + S::Input: BamlType + Clone, + S::Output: BamlType, +``` + +- [Function] `crates/dspy-rs/src/modules/react.rs:309` +```rust +pub fn tool( + mut self, + name: impl Into, + description: impl Into, + tool_fn: F, +) -> Self +where + F: Fn(String) -> Fut + Send + Sync + 'static, + Fut: Future + Send + 'static, +``` + +- [Type] `crates/dspy-rs/src/adapter/chat.rs:25` +```rust +pub struct ChatAdapter; +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:463` +```rust +pub fn build_system( + &self, + schema: &crate::SignatureSchema, + instruction_override: Option<&str>, +) -> Result +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:563` +```rust +pub fn format_input( + &self, + schema: &crate::SignatureSchema, + input: &I, +) -> String +where + I: BamlType + for<'a> facet::Facet<'a>, +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:654` +```rust +pub fn parse_output_with_meta( + &self, + schema: &crate::SignatureSchema, + response: &Message, +) -> std::result::Result<(O, IndexMap), ParseError> +where + O: BamlType + for<'a> facet::Facet<'a>, +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:824` +```rust +pub fn parse_output( + &self, + schema: &crate::SignatureSchema, + response: &Message, +) -> std::result::Result +where + O: BamlType + for<'a> facet::Facet<'a>, +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:836` +```rust +pub fn parse_sections(content: &str) -> IndexMap +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:968` +```rust +fn value_for_path_relaxed<'a>( + value: &'a BamlValue, + path: &crate::FieldPath, +) -> Option<&'a BamlValue> +``` + +- [Function] `crates/dspy-rs/src/adapter/chat.rs:998` +```rust +fn insert_baml_at_path( + root: &mut bamltype::baml_types::BamlMap, + path: &crate::FieldPath, + value: BamlValue, +) +``` + +- [Type] `crates/dspy-rs/src/trace/dag.rs:5` +```rust +pub enum NodeType { + Root, + Predict { signature_name: String }, + Operator { name: String }, + Map { mapping: Vec<(String, (usize, String))> }, +} +``` + +- [Type] `crates/dspy-rs/src/trace/dag.rs:36` +```rust +pub struct Node { + pub id: usize, + pub node_type: NodeType, + pub inputs: Vec, + pub output: Option, + pub input_data: Option, +} +``` + +- [Type] `crates/dspy-rs/src/trace/dag.rs:57` +```rust +pub struct Graph { + pub nodes: Vec, +} +``` + +- [Function] `crates/dspy-rs/src/trace/dag.rs:62` +```rust +pub fn new() -> Self +``` + +- [Function] `crates/dspy-rs/src/trace/dag.rs:66` +```rust +pub fn add_node( + &mut self, + node_type: NodeType, + inputs: Vec, + input_data: Option, +) -> usize +``` + +- [Type] `crates/dspy-rs/src/trace/executor.rs:6` +```rust +pub struct Executor { + pub graph: Graph, +} +``` + +- [Function] `crates/dspy-rs/src/trace/executor.rs:15` +```rust +pub async fn execute(&self, root_input: Example) -> Result> +``` + +- [Type] `crates/bamltype/src/facet_ext.rs:21` +```rust +pub struct WithAdapterFns { + pub type_ir: fn() -> TypeIR, + pub register: AdapterRegisterFn, + pub apply: AdapterApplyFn, +} +``` + +- [Function] `crates/bamltype/src/facet_ext.rs:41` +```rust +pub fn with_adapter_fns(attrs: &'static [facet::Attr]) -> Option<&'static WithAdapterFns> +``` + +- [Type Alias] `vendor/baml/crates/baml-types/src/ir_type/mod.rs:127` +```rust +pub type TypeIR = TypeGeneric; +``` + +- [Function] `vendor/baml/crates/baml-types/src/ir_type/mod.rs:136` +```rust +pub fn diagnostic_repr(&self) -> TypeIRDiagnosticRepr<'_> +``` + +- [Function] `crates/dspy-rs/src/core/settings.rs:20` +```rust +pub static GLOBAL_SETTINGS: LazyLock>> = + LazyLock::new(|| RwLock::new(None)); +``` + +### Gap Analysis +- U38 `registry::create(name, &schema, config)` + - [EXISTS] `crates/dspy-rs/src/core/schema.rs:74` — `SignatureSchema` exists and is used across typed path. + - [NEW] — Add `DynModule`, `StrategyFactory`, `StrategyConfig`, `StrategyConfigSchema`, and `registry::create` surface. +- U39 `registry::list()` + - [NEW] — Add global strategy registry store and list API. +- U40 `dyn_module.predictors()/predictors_mut()` + - [EXISTS] `crates/dspy-rs/src/core/dyn_predictor.rs:11` — `DynPredictor` trait exists. + - [NEW] — Add `DynModule` trait exposing predictor handles. +- U41 `ProgramGraph::new()` + - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:62` — existing graph constructor pattern. + - [NEW] — Add dedicated `ProgramGraph` type for dynamic modules. +- U42 `graph.add_node(name, node)` + - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:66` — add-node pattern exists on trace graph. + - [NEW] — Add named-node insertion for `ProgramGraph` with schema/module node payload. +- U43 `graph.connect(from, from_field, to, to_field)` + - [NEW] — Add edge model and connect API. + - [NEW] — Add type-compatibility check routine for field-to-field wiring. +- U44 `graph.replace_node(name, node)` + - [NEW] — Add node replacement semantics and incident-edge revalidation. +- U45 `graph.execute(input).await -> Result` + - [EXISTS] `crates/dspy-rs/src/trace/executor.rs:15` — async graph executor scaffold exists (for trace replay, not typed dynamic modules). + - [NEW] — Add real dynamic graph execution (node invocation + BamlValue routing + error handling). +- U46 `ProgramGraph::from_module(&module)` + - [EXISTS] `crates/dspy-rs/src/core/dyn_predictor.rs:72` — walker already yields `(path, &mut dyn DynPredictor)`. + - [MODIFY] `crates/dspy-rs/src/core/dyn_predictor.rs:72` — current walker requires `&mut`; design example uses `&module` and dynamic projection likely needs non-mutating discovery path or explicit mutable API decision. + - [NEW] — Add predictor-to-node adapter (`DynPredictor` wrapper implementing `DynModule`) and projection builder. +- N17 schema transformation in factories + - [EXISTS] `crates/dspy-rs/src/modules/chain_of_thought.rs:21` and `crates/dspy-rs/src/modules/react.rs:57` — typed strategies already encode transformed signatures internally. + - [MODIFY] `crates/dspy-rs/src/core/schema.rs:74` — add schema transformation helpers (copy/update output/input fields) suitable for factory-time mutation. +- N24 `TypeIR::is_assignable_to(&to_type)` validation + - [EXISTS] `vendor/baml/crates/baml-types/src/ir_type/mod.rs:127` — `TypeIR` type exists. + - [NEW] — Add assignability function (method or graph-local helper); no such method exists today. +- N25 topological sort + - [EXISTS] `crates/dspy-rs/src/trace/executor.rs:16` — current executor assumes topological order but does not compute it. + - [NEW] — Implement deterministic topological sort + cycle detection for `ProgramGraph`. +- N26 BamlValue piping + - [EXISTS] `crates/dspy-rs/src/adapter/chat.rs:968` and `crates/dspy-rs/src/adapter/chat.rs:998` — path-based BamlValue read/write utilities already exist (currently private to adapter). + - [MODIFY] `crates/dspy-rs/src/adapter/chat.rs:968` — extract/share path read/write utility or duplicate in graph module for edge piping. + - [NEW] — Graph execution-time input assembly by incoming edges. +- N27 inventory auto-registration + - [NEW] — Add `inventory`-based registration type and collection for `StrategyFactory`. +- R7 dynamic graph construct/validate/mutate/execute + - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:57` and `crates/dspy-rs/src/trace/executor.rs:15` — graph-shaped scaffolding exists. + - [NEW] — Implement dynamic module graph domain types and behaviors from F10. +- R8 typed/dynamic prompt parity + - [EXISTS] `crates/dspy-rs/src/adapter/chat.rs:463` and `crates/dspy-rs/src/adapter/chat.rs:563` and `crates/dspy-rs/src/adapter/chat.rs:654` — schema-based prompt/parse building blocks exist. + - [NEW] — Ensure all `DynModule` implementations route through these same `ChatAdapter` schema APIs. +- R14 registry instantiation by name + schema + config + - [NEW] — Registry/factory/config contract is not implemented yet. +- F9 (`DynModule` + `StrategyFactory` + registry) + - [EXISTS] `crates/dspy-rs/src/core/dyn_predictor.rs:11` — lower-level predictor abstraction is in place. + - [NEW] — Add full dynamic-module/factory/registry layer. +- F10 (`ProgramGraph` + Node/Edge + mutation + execution) + - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:57` — graph data structure precedent exists. + - [NEW] — Add dedicated `ProgramGraph` types/APIs (`remove_node`, `insert_between`, `connect`, `replace_node`, `execute`, projection). + +### Patterns & Conventions +- Trait-first architecture with typed core + erased boundary: + - `crates/dspy-rs/src/core/module.rs:9` (`Module`), `crates/dspy-rs/src/core/dyn_predictor.rs:11` (`DynPredictor`), `crates/dspy-rs/src/predictors/predict.rs:494` (typed `Predict` implements erased trait). +- Global singleton state uses lock + lazy init: + - `crates/dspy-rs/src/core/schema.rs:83` (`OnceLock>>` cache), `crates/dspy-rs/src/core/settings.rs:20` (`LazyLock>>`). +- Deterministic traversal and ordering are tested and expected: + - `crates/dspy-rs/src/core/dyn_predictor.rs:111` (struct field order walk), `crates/dspy-rs/tests/test_named_parameters.rs:112` (deterministic order test). +- Explicitly unsupported paths are surfaced as typed errors (not silently skipped): + - `crates/dspy-rs/src/core/dyn_predictor.rs:60` (`NamedParametersError`), `crates/dspy-rs/tests/test_named_parameters_containers.rs:27` (container error contract). +- Prompt/parsing pipeline is centralized in schema-driven adapter building blocks: + - `crates/dspy-rs/src/adapter/chat.rs:463` (`build_system`), `crates/dspy-rs/src/adapter/chat.rs:563` (`format_input`), `crates/dspy-rs/src/adapter/chat.rs:654` (`parse_output_with_meta`). +- Function-pointer payload pattern via Facet attrs already exists and is runtime-decoded: + - `crates/bamltype/src/facet_ext.rs:21` (`WithAdapterFns`), `crates/bamltype/src/facet_ext.rs:41` (`with_adapter_fns`). +- Builder APIs are the established module-construction style: + - `crates/dspy-rs/src/predictors/predict.rs:246` (`PredictBuilder`), `crates/dspy-rs/src/modules/react.rs:257` (`ReActBuilder`). +- Tracing instrumentation (`#[tracing::instrument]`) is consistently used on core execution boundaries: + - `crates/dspy-rs/src/core/dyn_predictor.rs:67`, `crates/dspy-rs/src/adapter/chat.rs:447`, `crates/dspy-rs/src/predictors/predict.rs:466`. + +### Spec Ambiguities +- ~~`ProgramGraph::from_module(&module)` vs current walker mutability (`named_parameters(&mut module)`).~~ + - **Resolved:** snapshot-then-fit-back. `from_module(&module)` uses an immutable walker variant (`named_parameters_ref`) to read predictor schemas and state, creates independent owned `DynModule` graph nodes. Graph mutates freely during optimization. `graph.fit(&mut module)` writes optimized state back via mutable walker + `load_state`. Structural divergences surfaced explicitly. See tracker decision entry. +- F10 includes `remove_node` and `insert_between`, but breadboard U41-U46 does not enumerate them. + - Proposed resolution: treat `remove_node` and `insert_between` as in-scope for slice completeness (F10 source-of-truth), but phase delivery after `new/add/connect/replace/execute` if time-boxing is needed. +- Edge derivation in `from_module` is underspecified (“trace or explicit annotation”). + - Proposed resolution: follow tracker C8 lock: annotation-first deterministic edges in V6; trace inference explicitly deferred. +- `TypeIR::is_assignable_to` is named in spec but absent in codebase. + - Proposed resolution: define a graph-local compatibility function first (exact/optional/union-safe rules), then optionally upstream to `TypeIR` extension trait. +- Strategy config model is unspecified (`StrategyConfig`, `StrategyConfigSchema` structure not defined). + - Proposed resolution: use `serde_json::Value` plus JSON-schema metadata for v1; keep factory-specific typed decoding behind each factory. +- Graph execution output contract is underspecified for multi-sink graphs (`Result` singular output). + - Proposed resolution: require one designated terminal node in v1 (explicit graph output node), error on ambiguous sinks. +- Demo uses `connect("input", ...)` without defining an input node lifecycle. + - Proposed resolution: model input as explicit virtual root node created by `execute` (not user-added), reserved name `__input` to avoid user collisions. + +### Recommended Approach +1. Add F9 core surfaces first: `DynModule`, `StrategyFactory`, config/schema types, registry API (`get/create/list`), and error types. +2. Implement first two concrete factories (`chain_of_thought`, `react`) that wrap existing typed modules and expose predictor handles. +3. Build F10 graph data types (`ProgramGraph`, `Node`, `Edge`) and mutation APIs (`new/add/connect/replace/remove/insert_between`) with deterministic validation errors. +4. Implement N24 type compatibility helper and wire it into `connect` and `replace_node` edge checks. +5. Implement N25 topological sort + cycle errors; then N26 BamlValue edge routing and node input assembly. +6. Implement `execute` by invoking `DynModule::forward` in topo order using shared adapter formatting/parsing paths to preserve R8. +7. Implement `from_module` projection using F6 walker + adapter wrapper around discovered predictors; apply annotation-first edge derivation policy. +8. Add registration plumbing (`inventory` submit/collect), then test matrix: registry operations, graph validation/mutation, cycle handling, parity golden tests (typed vs dynamic prompts), and end-to-end V6 smoke. diff --git a/docs/plans/modules/slice_6_review.md b/docs/plans/modules/slice_6_review.md new file mode 100644 index 00000000..ec7a24b9 --- /dev/null +++ b/docs/plans/modules/slice_6_review.md @@ -0,0 +1,50 @@ +### Findings + +#### Finding 1 +- Severity: high +- Category: Spec fidelity / Shape compliance +- Location: `crates/dspy-rs/src/core/dyn_factories.rs:241`, `crates/dspy-rs/src/core/dyn_factories.rs:267`, `crates/dspy-rs/src/core/dyn_factories.rs:275`, `crates/dspy-rs/src/core/dyn_factories.rs:359` +- Issue: The dynamic `react` strategy is implemented as a single generic predictor pass-through, not ReAct orchestration. `ReActDynModule` exposes only one predictor and `forward()` delegates directly to `SchemaPredictor::forward_untyped`, while `max_steps` and `tools` are unused. This does not match the ground-truth F9 expectation that ReAct factory logic builds ReAct-specific schemas/behavior (action + extract, tool-driven loop). Spec refs: `docs/specs/modules/shapes.md:65`, `docs/specs/modules/design_reference.md:813`. +- Suggestion: Implement dynamic ReAct as a true multi-step `DynModule`: construct action/extract schemas from base schema + tool definitions, run iterative action/tool/extract flow, and expose both internal predictors via `predictors()`/`predictors_mut()`. + +#### Finding 2 +- Severity: high +- Category: Breadboard consistency / Spec fidelity +- Location: `crates/dspy-rs/src/core/program_graph.rs:347`, `crates/dspy-rs/src/core/program_graph.rs:350`, `crates/dspy-rs/src/core/program_graph.rs:512` +- Issue: The graph cannot realize the breadboard’s external-input wiring model. `connect()` requires both endpoints to be existing nodes (so `"input"` is rejected), and `execute()` only passes the root input to nodes with zero incoming edges; nodes with incoming edges get an input map built only from edges. That makes the documented `graph.connect("input", "question", "cot", "question")` flow impossible and prevents mixing root input fields with piped fields on downstream nodes. Spec refs: `docs/specs/modules/breadboard.md:263`, `docs/specs/modules/breadboard.md:490`. +- Suggestion: Add explicit graph input/output pseudo-node semantics, or merge root input into each node input before applying edge overwrites. Align API behavior with the breadboard examples. + +#### Finding 3 +- Severity: medium +- Category: Spec fidelity / Cleanliness +- Location: `crates/dspy-rs/src/core/program_graph.rs:18`, `crates/dspy-rs/src/core/program_graph.rs:168`, `crates/dspy-rs/src/core/program_graph.rs:206`, `crates/dspy-rs/src/core/dyn_module.rs:78` +- Issue: Registry-created modules do not flow directly into graph mutation APIs as specified. `registry::create()` returns `Box`, but `add_node`/`replace_node` require a `Node` wrapper with duplicated `schema` and `module`. This diverges from the spec examples and introduces drift risk between `node.schema` and `node.module.schema()`. Spec refs: `docs/specs/modules/design_reference.md:1062`, `docs/specs/modules/design_reference.md:1063`, `docs/specs/modules/breadboard.md:488`. +- Suggestion: Accept `Box` in `add_node`/`replace_node`, derive node schema from `module.schema()`, and make `Node` construction internal to keep schema/module consistent. + +#### Finding 4 +- Severity: medium +- Category: Breadboard consistency +- Location: `crates/dspy-rs/src/core/program_graph.rs:456`, `crates/dspy-rs/src/core/program_graph.rs:463`, `crates/dspy-rs/tests/test_program_graph_annotations.rs:67` +- Issue: `ProgramGraph::from_module()` only adds edges from pre-registered annotations; plain projections produce zero edges. Ground truth says projection auto-populates nodes/edges (S5/S6) and design allows inferred edges (trace or annotation). Current behavior means multi-predictor modules project into disconnected graphs unless callers manually register annotations first. Spec refs: `docs/specs/modules/breadboard.md:267`, `docs/specs/modules/design_reference.md:885`. +- Suggestion: Implement at least one automatic edge inference path (trace-derived or schema/path-based heuristic), and return a clear projection error when a multi-node projection has no resolvable edges. + +#### Finding 5 +- Severity: medium +- Category: Maintainability / Correctness +- Location: `crates/dspy-rs/src/core/program_graph.rs:270`, `crates/dspy-rs/src/core/program_graph.rs:272`, `crates/dspy-rs/src/core/program_graph.rs:278`, `crates/dspy-rs/src/core/program_graph.rs:289` +- Issue: `insert_between()` is not failure-atomic. It inserts the node and removes the original edge before validating inserted-node input/output fields. If validation fails (`?` on missing input/output field), the function returns with partially mutated graph state. +- Suggestion: Pre-validate inserted-node schema before mutating graph, or use transactional rollback on every failure path (including missing input/output field errors). + +#### Finding 6 +- Severity: low +- Category: Simplicity / Maintainability +- Location: `crates/dspy-rs/src/core/dyn_module.rs:15`, `crates/dspy-rs/src/core/dyn_module.rs:20`, `crates/dspy-rs/src/core/dyn_factories.rs:364` +- Issue: Config validation/error plumbing exists but is mostly unused. `StrategyError::InvalidConfig` and `BuildFailed` are defined but factories do not use them; `ReActFactory` silently defaults when config is malformed. This weakens debuggability and makes runtime behavior less predictable. +- Suggestion: Validate incoming config against `config_schema()` and return `InvalidConfig` on mismatch; reserve defaulting for explicit optional fields. + +### Summary +- High: 2 +- Medium: 3 +- Low: 1 + +Overall assessment: Slice 6 has solid scaffolding (registry, graph data structures, edge validation hooks, and tests for core happy paths), but it is not yet ground-truth compliant for dynamic-graph semantics in two critical areas: true ReAct dynamic behavior and breadboard-consistent input wiring. The current API shape also adds avoidable friction and drift risk around node/schema handling, and projection/mutation behavior has correctness gaps that should be tightened before considering V6 complete. diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index d5a95970..83328af8 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -1,7 +1,7 @@ -# Slices 1-5 Closure Audit +# Slices 1-6 Closure Audit Date: 2026-02-10 -Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4`, `V5` from `docs/specs/modules/breadboard.md`. +Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4`, `V5`, `V6` from `docs/specs/modules/breadboard.md`. ## Audit Method - Re-checked `docs/specs/modules/breadboard.md` slice definitions and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints. @@ -10,7 +10,7 @@ Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4`, `V5` from `docs/specs/ ## Slices 1-3 Baseline - Baseline accounting for `V1`-`V3` remains in `docs/plans/modules/slices_1_3_closure_audit.md`. -- This document extends that ledger through `V5` and updates deferred-item routing with current post-V5 status. +- This document extends that ledger through `V6` and updates deferred-item routing with current post-V6 status. ## Slice 4 (V4 ReAct + Operational) Accounting @@ -42,6 +42,23 @@ Slice 4 verdict: **Implemented**. Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; U50/C4 and strict S2 mechanism deferred with explicit cleanup targets). +## Slice 6 (V6 Dynamic Graph) Accounting + +| Affordance(s) | Status | Evidence | +|---|---|---| +| `U38`, `U39` strategy registry (`registry::create`, `registry::list`) | Implemented | `crates/dspy-rs/src/core/dyn_module.rs:53`, `crates/dspy-rs/src/core/dyn_module.rs:79`, `crates/dspy-rs/src/core/dyn_module.rs:88`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:45` | +| `U40` dynamic predictor exposure (`predictors`, `predictors_mut`) | Implemented | `crates/dspy-rs/src/core/dyn_module.rs:29`, `crates/dspy-rs/src/core/dyn_factories.rs:329`, `crates/dspy-rs/src/core/dyn_factories.rs:333`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:63` | +| `U41`, `U42` graph construction (`new`, `add_node`) including direct registry node insertion | Implemented | `crates/dspy-rs/src/core/program_graph.rs:162`, `crates/dspy-rs/src/core/program_graph.rs:181`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:68` | +| `U43`, `N24` edge insertion with validation, including breadboard input pseudo-node wiring | Implemented | `crates/dspy-rs/src/core/program_graph.rs:209`, `crates/dspy-rs/src/core/program_graph.rs:601`, `crates/dspy-rs/tests/test_program_graph_mutation.rs:86`, `crates/dspy-rs/tests/test_program_graph_execution.rs:231` | +| `U44` node replacement + incident-edge revalidation | Implemented | `crates/dspy-rs/src/core/program_graph.rs:226`, `crates/dspy-rs/tests/test_program_graph_mutation.rs:100` | +| `U45`, `N25`, `N26` topological execution and BamlValue piping | Implemented | `crates/dspy-rs/src/core/program_graph.rs:349`, `crates/dspy-rs/src/core/program_graph.rs:657`, `crates/dspy-rs/tests/test_program_graph_execution.rs:143`, `crates/dspy-rs/tests/test_program_graph_execution.rs:198` | +| `U46` typed→graph projection + fit-back | Implemented | `crates/dspy-rs/src/core/program_graph.rs:453`, `crates/dspy-rs/src/core/program_graph.rs:512`, `crates/dspy-rs/tests/test_program_graph_projection_fit.rs:33` | +| `N17` schema-transforming factories (`chain_of_thought` reasoning prepend, `react` action/extract schemas) | Implemented | `crates/dspy-rs/src/core/dyn_factories.rs:449`, `crates/dspy-rs/src/core/dyn_factories.rs:552`, `crates/dspy-rs/src/core/dyn_factories.rs:617`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:95` | +| `N27` distributed factory auto-registration (`inventory::submit!`) | Implemented | `crates/dspy-rs/src/core/dyn_factories.rs:540`, `crates/dspy-rs/src/core/dyn_factories.rs:544`, `crates/dspy-rs/src/core/dyn_factories.rs:548` | +| `R8` typed/dynamic prompt parity and dynamic graph real-model smoke | Implemented | `crates/dspy-rs/tests/test_program_graph_execution.rs:269`, `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs:18`, `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs:33` | + +Slice 6 verdict: **Implemented** (with explicit post-implementation debt retained for strict S2 attr payload, edge-annotation storage mechanism, and broader TypeIR assignability semantics). + ## Consolidated Deferred Ledger (Post-Implementation Cleanup) | Deferred item | Why deferred | Target phase | Exit criteria | @@ -54,6 +71,8 @@ Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; U50/C4 | `V5` strict S2 mechanism (`dsrs::parameter` payload extraction) | Current generic payload attachment path is blocked in current derive expansion; registry fallback was used to keep V5 green | **Post-Implementation Cleanup** | Replace registry/type-name discovery with shape-local typed attr payload extraction or finalize audited equivalent and update spec debt note | | `V5` U50 typed metric surface (`compile(..., metric)`) | Optimizer compile remains coupled to legacy `Evaluator` / `Example`→`Prediction` IO boundary | **Post-Implementation Cleanup** | Optimizer compile path accepts typed metric/evaluator surface and no longer requires legacy compile bounds | | GEPA uniform compile entrypoint | `GEPA::compile` intentionally bails and redirects to `compile_with_feedback`; inconsistent with uniform U50 contract | **Post-Implementation Cleanup** | GEPA exposes a functional uniform compile surface (or officially documented trait split) without runtime bailout | +| `V6` edge annotation storage mechanism | V6 uses global shape-id keyed registration for annotations; shape-local Facet attr storage remains deferred | **Post-Implementation Cleanup** | Move edge annotations to shape-local Facet attrs (or ratify global registration path in spec) and remove dual-path ambiguity | +| `V6` TypeIR assignability breadth | Current `is_assignable_to` is conservative (exact, nullable widening, simple unions) | **Post-Implementation Cleanup** | Replace with native/complete TypeIR subtyping semantics that cover richer unions/classes/aliases | ## Cleanup Kickoff Reference @@ -71,14 +90,17 @@ Use that doc as the active decision matrix for: - `U29` (`ChainOfThought` Facet discoverability) resolved in code: `crates/dspy-rs/src/modules/chain_of_thought.rs:16`. - `build_system` API/spec mismatch resolved by spec alignment to fallible return (`Result`): `docs/specs/modules/breadboard.md:101`, `docs/specs/modules/design_reference.md:583`. -## Validation During Slice 5 Closure Audit +## Validation During Slice 5-6 Closure Audit - `cargo check -p dspy-rs` - `cargo check -p dspy-rs --examples` - `cargo test -p dspy-rs --lib --tests` - `cargo test -p dspy-rs --test test_named_parameters --test test_named_parameters_containers --test test_dyn_predictor_forward_untyped` +- `cargo test -p dspy-rs --test test_registry_dynamic_modules --test test_program_graph_execution --test test_program_graph_mutation --test test_program_graph_annotations --test test_program_graph_projection_fit --test test_named_parameters_ref` - `set -a && source .env && set +a && cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` - `set -a && source .env && set +a && cargo run -p dspy-rs --example 94-smoke-slice5-optimizer-interface` +- `set -a && source .env && set +a && cargo run -p dspy-rs --example 95-smoke-slice6-dynamic-graph` Observed smoke outputs: - Slice 4 calculator trajectory parity pass: `tool_calls: 3`, `tool_executions: 5`, trajectory printed with `Step 1..4`, `answer: 70`. - Slice 5 optimizer-interface pass: `named_parameters: ["predictor"]`, instruction mutation applied, `answer: smoke-ok`. +- Slice 6 dynamic-graph pass: registry-created node + input pseudo-edge execution returned `answer: smoke-ok`. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 7735a4a7..33024780 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -2,7 +2,7 @@ ## Current State - **Slice**: 6 (V6 dynamic graph) -- **Phase**: Research +- **Phase**: Post-Implementation Cleanup - **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` - **Roadmap**: V6 (dynamic graph) → Kill Pass (legacy deletion) @@ -47,6 +47,11 @@ | `019c4542-56ae-73a2-bcf6-8078d6368393` | Plan refinery against ground truth for Slice 5 | 5 | Plan Refinery | Completed; created `slice_5_refinery.md`, updated `slice_5.md`, and surfaced C4 evaluator-surface arbitration for owner decision | | `019c4564-8a9e-7e60-8c67-f45160adb26f` | Adversarial review against ground truth for Slice 5 | 5 | Adversarial Review | Completed; created `slice_5_review.md` with 6 findings (2 high, 2 medium, 2 low) and evidence paths | | `019c456a-ec36-75e0-bc4e-f3028aca1001` | Arbitrate fixes for Slice 5 review findings | 5 | Arbitrate | Completed; fixed pointer/Box container erroring in walker and added V5 coverage for dump/load-state + deterministic multi-leaf discovery ordering | +| `019c4573-3f66-7e03-b1f8-b9dbb69e0738` | Research brief for Slice 6 (V6 dynamic graph) | 6 | Research | Completed; created `slice_6_research.md` with V6/F9/F10 requirements, existing inventory, and [EXISTS]/[MODIFY]/[NEW] gaps | +| `019c457a-a6d4-7892-8e0a-cc58d11f80a1` | Stupidly implementable plan for Slice 6 (V6 dynamic graph) | 6 | Plan | Failed/no output; subagent stalled without producing `slice_6.md` after repeated waits and interrupt request | +| `019c4582-c2dc-7f81-963c-2b2b2780005d` | Replacement stupidly implementable plan for Slice 6 (V6 dynamic graph) | 6 | Plan | Completed; produced `slice_6.md` with required sections, grounded signatures, and snapshot-then-fit-back contract from the resolved ambiguity (`from_module` immutable projection + `fit` mutable write-back) | +| `019c458b-e671-7b13-9b7b-d3921607a791` | Plan refinery against ground truth for Slice 6 | 6 | Plan Refinery | Completed; produced `slice_6_refinery.md` and updated `slice_6.md` with fidelity corrections (`StrategyError`, `format_output_baml`, `insert_between` coverage, execution-order note, `from_parts` visibility tightening) plus two arbitration markers | +| `019c45a4-fb62-7e62-8efa-b2d050d15e2c` | Adversarial review against ground truth for Slice 6 | 6 | Adversarial Review | Completed; produced `slice_6_review.md` with 6 findings (2 high, 3 medium, 1 low) used for Slice 6 arbitrate fixes | ## Decisions & Architectural Notes @@ -65,6 +70,34 @@ - **Slice 5 commit (2026-02-10):** Change `ovrlqprm` / `89d83af6` — "slice5: implement optimizer interface with dyn predictor walker". - **Slice 5 closure audit (2026-02-10):** Updated `docs/plans/modules/slices_closure_audit.md` with V5 requirement accounting, explicit implemented/deferred classification (`U50`, S2 mechanism, GEPA entrypoint), and validation evidence including Slice 5 GPT-5.2 smoke. - **State transition (2026-02-10):** Advanced tracker from Slice 5 closure to `Slice 6 / Research` per closure-audit transition rule (`slice < 6`). +- **Slice 6 research arbitration (2026-02-10):** Accepted `slice_6_research.md` as planning baseline for V6 (`F9`/`F10`) with graph-first sequencing (`DynModule/registry` → `ProgramGraph` mutation/validation → execution → typed projection). +- **Slice 6 research discrepancy note (2026-02-10):** Confirmed a concrete tension between design example `ProgramGraph::from_module(&module)` and current discovery surface `named_parameters(&mut module)`. Planning must explicitly choose immutable projection API vs mutable-only projection path. +- **Slice 6 `from_module` mutability resolution (2026-02-09):** Resolved via **snapshot-then-fit-back** semantics. `ProgramGraph::from_module(&module)` takes `&module` (immutable), reads each predictor's schema + state via an immutable walker variant, and creates standalone `DynModule` wrappers (owned, decoupled from source module). The optimizer mutates the graph independently. After optimization, `graph.fit(&mut module)` applies optimized state back to the typed module's predictors via `load_state` on path-matched leaves. Implementation requires: (1) add `fn(*const ()) -> *const dyn DynPredictor` to `PredictAccessorFns` for immutable accessor; (2) add `named_parameters_ref(&module) -> Vec<(String, &dyn DynPredictor)>` immutable walker variant; (3) `from_module` calls immutable walker, reads `.schema()` + `.dump_state()`, constructs independent graph nodes; (4) `graph.fit(&mut module)` uses existing mutable walker to write back. Structural divergences (topology changes in the graph that don't map to typed module paths) are surfaced, not silently dropped. Rationale: keeps typed path zero-cost (no Arc/Mutex), matches spec signatures (breadboard U46 `&module`, design_reference §11 `&M`, shapes F6 `&dyn DynPredictor`), and the `&mut` lives where mutation actually happens (fit-back), not where it doesn't (projection). +- **Slice 6 research discrepancy note (2026-02-10):** Locked annotation-first edge derivation for `ProgramGraph::from_module` per prior C8 decision; trace-inferred wiring remains deferred until post-V6 cleanup unless required by a blocker. +- **Slice 6 planning execution note (2026-02-10):** Initial planning subagent (`019c457a-a6d4-7892-8e0a-cc58d11f80a1`) stalled with no deliverable after repeated waits/interrupt; replaced by `019c4582-c2dc-7f81-963c-2b2b2780005d` with tighter repo-grounding constraints. +- **Slice 6 ambiguity resolution sync (2026-02-10):** Incorporated user-authored clarifications from `slice_6_research.md` before finalizing plan, including snapshot-then-fit-back (`from_module(&module)` via immutable walker + `fit(&mut module)` write-back), explicit structural divergence surfacing, and annotation-first edge derivation. +- **Slice 6 plan initial review (2026-02-10):** Accepted `slice_6.md` as Plan-phase baseline and advanced to Plan Refinery. Refinery must explicitly verify two fidelity risks: (1) whether `from_module` should return `ProgramGraph` exactly (U46) versus `Result` in the plan draft; (2) whether proposed `SignatureSchema` cloning constructors preserve existing lifetime/ownership constraints without mutating global cached schemas. +- **Slice 6 plan refinery outcome (2026-02-10):** Accepted refinery corrections in `slice_6.md`/`slice_6_refinery.md` (typed `StrategyError` APIs, `format_output_baml` helper, `insert_between` test coverage, and ordering fix requiring adapter helpers before dynamic factory implementation). +- **Slice 6 arbitration resolution (2026-02-10):** Resolved both plan markers: (1) keep global accessor registry bridge in V6 (defer shape-local attr payload migration to cleanup); (2) use global edge-annotation registration keyed by shape ID as the sole V6 annotation source (defer shape-local annotation storage to cleanup). All `NEEDS ARBITRATION` markers for Slice 6 are cleared. +- **State transition (2026-02-10):** Advanced Slice 6 from `Plan Refinery` to `Implement` after arbitration closure. +- **Slice 6 implement completion pass (2026-02-10):** Added strict typed/dynamic prompt parity coverage for both `predict` and `chain_of_thought` (`test_program_graph_execution.rs`) and aligned dynamic CoT reasoning-field docs to typed schema prompt behavior. +- **Slice 6 validation sweep (2026-02-10):** `cargo test -p dspy-rs --lib --tests` and `cargo check -p dspy-rs --examples` both pass after V6 implementation updates; no failing regressions remain in crate-level tests. +- **Facet API verification (2026-02-10):** Re-ran Nia semantic queries over indexed `facet-rs/facet` + docs resources to confirm current walker/accessor model (`Peek`/`Poke` + pointer vtables + attr grammar mechanics). Kept registry bridge for V6 per prior arbitration and migration-debt policy. +- **State transition (2026-02-10):** Advanced Slice 6 from `Implement` to `Adversarial Review` and spawned review subagent `019c45a4-fb62-7e62-8efa-b2d050d15e2c`. +- **Slice 6 adversarial review outcome (2026-02-10):** `slice_6_review.md` reported 6 findings (2 high, 3 medium, 1 low). Agreed with all findings and applied fixes in-slice; no deferrals. +- **Slice 6 arbitrate fixes (2026-02-10):** + - Implemented true dynamic ReAct orchestration (`action` + `extract` predictors, iterative loop, terminal action handling, tool-call/execution metadata accumulation) and strict `react` config validation (`InvalidConfig` on malformed `max_steps`). + - Added breadboard input wiring semantics: `connect("input", ...)` is now supported; execution resolves pseudo-node edges from root input; topo-sort ignores pseudo-node dependency edges. + - Reduced dynamic API friction: `ProgramGraph::add_node`/`replace_node` now accept `impl Into`, so `Box` from `registry::create` can be passed directly while schema/module sync is enforced at insertion. + - Added projection fallback and guardrails: `from_module` remains annotation-first but now falls back to ordered schema/path inference when annotations are absent, and errors on unresolved multi-node projections. + - Made `insert_between` failure-atomic for missing inserted-node IO fields by pre-validating before graph mutation. +- **Slice 6 post-arbitrate validation (2026-02-10):** Re-ran targeted V6 suites plus full crate validation: `cargo test -p dspy-rs --test test_registry_dynamic_modules --test test_program_graph_execution --test test_program_graph_mutation --test test_program_graph_annotations --test test_program_graph_projection_fit --test test_named_parameters_ref`, then `cargo test -p dspy-rs --lib --tests`, and `cargo check -p dspy-rs --examples` all pass. +- **Slice 6 smoke test (2026-02-10):** Added and ran `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs` against `openai:gpt-5.2` with `.env` loaded; dynamic graph path (`registry::create` + `add_node` + `connect(\"input\", ...)` + `execute`) returned `answer: smoke-ok`. +- **State transition (2026-02-10):** Completed Slice 6 Arbitrate and advanced to `Commit`. +- **Slice 6 commit (2026-02-10):** Change `nmvtxvrn` — "slice6: implement dynamic graph registry and execution". +- **State transition (2026-02-10):** Advanced Slice 6 from `Commit` to `Closure Audit`. +- **Slice 6 closure audit (2026-02-10):** Updated `docs/plans/modules/slices_closure_audit.md` with V6 requirement accounting (`U38`-`U46`, `N17`, `N24`-`N27`, `R8`) and refreshed deferred-ledger entries for V6 annotation storage and TypeIR assignability breadth. +- **State transition (2026-02-10):** Because current slice = 6, advanced from `Closure Audit` to `Post-Implementation Cleanup`. - **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` for typed module calls. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.call(input).await?.answer`. Canonical user entrypoint is `Module::call`; module authors implement `forward` as the hook. - **Interpretation note:** historical entries below may still reference `CallOutcome` because they log pre-revision milestones. Treat those references as superseded unless an entry explicitly says otherwise. - **Phase 4.5-lite completion (2026-02-10):** Exit gates passed. `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test` are green after C1/C5/C6 execution. @@ -153,6 +186,8 @@ - `V5 Implement`: complete walker discoverability for wrapper/combinator module trees as the canonical replacement for legacy `Optimizable` traversal. - Untyped `Example`/`Prediction` example policy and evaluator/feedback migration boundary are clarified in the kickoff doc; execution remains open under C2/C3/C4 gates. - Decision matrix and sequencing for cleanup kickoff are now centralized in `docs/plans/modules/phase_4_5_cleanup_kickoff.md`. +- ~~`V6`: resolve `ProgramGraph::from_module` mutability contract~~ → **Resolved.** See decision entry below. +- `V6`: define v1 graph output contract for multi-sink graphs (single terminal node requirement vs aggregate-output shape). ## Migration Debt From aadc5036fe4f1c2c741742525cd4c7cba2812ca9 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 20:46:33 -0800 Subject: [PATCH 14/22] updated gitignore --- .gitignore | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.gitignore b/.gitignore index 5aac4815..bcb45aa6 100644 --- a/.gitignore +++ b/.gitignore @@ -38,3 +38,6 @@ target/ # Local planning/decision docs thoughts/ + +# Reference copies of upstream source +reference/ From 318c49e7ff32133a9a90c9ec2bfcff2feedbed4f Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 22:47:26 -0800 Subject: [PATCH 15/22] some facet stuffs --- const_block_generic | Bin 0 -> 463536 bytes crates/dspy-rs/src/core/dyn_predictor.rs | 317 +++++++++++++----- crates/dspy-rs/src/core/module_ext.rs | 161 ++------- crates/dspy-rs/src/predictors/predict.rs | 6 + .../tests/test_named_parameters_containers.rs | 107 ++++-- docs/plans/modules/slices_closure_audit.md | 1 + promote_attr_like | Bin 0 -> 463984 bytes promote_generic | Bin 0 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P6Wu?ax65u7-GBRkRIg5Z literal 0 HcmV?d00001 diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index a5c31365..0b2323a5 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -2,7 +2,7 @@ use std::collections::{HashMap, HashSet}; use std::sync::{Mutex, OnceLock}; use anyhow::Result; -use bamltype::facet_reflect::{Peek, Poke}; +use bamltype::facet_reflect::Peek; use facet::{ConstTypeId, Def, Facet, KnownPointer, Shape, Type, UserType}; use crate::{BamlValue, Example, PredictError, Predicted, SignatureSchema}; @@ -44,6 +44,16 @@ impl PartialEq for PredictAccessorFns { impl Eq for PredictAccessorFns {} +// FIXME(dsrs-s2): Temporary bridge for S2 until Facet supports shape-local typed attr payloads +// on generic containers (e.g. Predict) without E0401 in macro-generated statics. +// Intended solution: +// 1. Read `PredictAccessorFns` directly from shape-local attrs on the discovered leaf shape. +// 2. Delete this global registry and stop requiring explicit runtime registration. +// Upstream tracking: +// - Issue: https://github.com/facet-rs/facet/issues/2039 +// - PR: https://github.com/facet-rs/facet/pull/2040 +// - PR: https://github.com/facet-rs/facet/pull/2041 +// TODO(post-v6): Remove registry fallback once upstream lands and DSRs upgrades facet. static ACCESSOR_REGISTRY: OnceLock>> = OnceLock::new(); @@ -78,7 +88,7 @@ where M: for<'a> Facet<'a>, { let mut raw_handles = Vec::<(String, *mut dyn DynPredictor)>::new(); - walk_value(Poke::new(module), "", &mut raw_handles)?; + walk_value_mut(Peek::new(&*module), "", &mut raw_handles)?; let mut handles = Vec::with_capacity(raw_handles.len()); for (path, ptr) in raw_handles { @@ -110,8 +120,8 @@ where Ok(handles) } -fn walk_value( - mut value: Poke<'_, '_>, +fn walk_value_mut( + value: Peek<'_, '_>, path: &str, out: &mut Vec<(String, *mut dyn DynPredictor)>, ) -> std::result::Result<(), NamedParametersError> { @@ -121,89 +131,96 @@ fn walk_value( registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { path: display_path(path), })?; - let ptr = (accessor.accessor_mut)(value.data_mut().as_mut_byte_ptr().cast::<()>()); + // SAFETY: `named_parameters` has exclusive access to `module` for the full traversal. + // We only cast to a mutable pointer after the read-only walk has located the leaf. + let ptr = (accessor.accessor_mut)((value.data().as_byte_ptr() as *mut u8).cast::<()>()); out.push((path.to_string(), ptr)); return Ok(()); } - let mut struct_value = match value.into_struct() { - Ok(struct_value) => struct_value, - Err(_) => return Ok(()), - }; - - for idx in 0..struct_value.field_count() { - let field = struct_value.ty().fields[idx]; - if field.should_skip_deserializing() { - continue; - } + if matches!(shape.ty, Type::User(UserType::Struct(_))) { + let struct_value = value.into_struct().expect("shape says struct"); + for idx in 0..struct_value.field_count() { + let field = struct_value.ty().fields[idx]; + if field.should_skip_deserializing() { + continue; + } - let field_path = push_field(path, field.name); - if let Some(ty) = container_name(field.shape()) - && contains_parameter(field.shape(), &mut HashSet::new()) - { - return Err(NamedParametersError::Container { - path: field_path, - ty, - }); + let field_path = push_field(path, field.name); + let child = struct_value + .field(idx) + .map_err(|_| NamedParametersError::MissingAttr { + path: display_path(&field_path), + })?; + walk_value_mut(child, &field_path, out)?; } - - let child = struct_value - .field(idx) - .map_err(|_| NamedParametersError::MissingAttr { - path: display_path(&field_path), - })?; - walk_value(child, &field_path, out)?; - } - - Ok(()) -} - -fn walk_value_ref( - value: Peek<'_, '_>, - path: &str, - out: &mut Vec<(String, *const dyn DynPredictor)>, -) -> std::result::Result<(), NamedParametersError> { - let shape = value.shape(); - if is_parameter_shape(shape) { - let accessor = - registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { - path: display_path(path), - })?; - let ptr = (accessor.accessor_ref)(value.data().as_byte_ptr().cast::<()>()); - out.push((path.to_string(), ptr)); return Ok(()); } - let struct_value = match value.into_struct() { - Ok(struct_value) => struct_value, - Err(_) => return Ok(()), - }; - - for idx in 0..struct_value.field_count() { - let field = struct_value.ty().fields[idx]; - if field.should_skip_deserializing() { - continue; + match shape.def { + Def::Option(_) => { + if let Some(inner) = value.into_option().expect("shape says option").value() { + walk_value_mut(inner, path, out)?; + } + Ok(()) } - - let field_path = push_field(path, field.name); - if let Some(ty) = container_name(field.shape()) - && contains_parameter(field.shape(), &mut HashSet::new()) - { - return Err(NamedParametersError::Container { - path: field_path, - ty, - }); + Def::List(_) | Def::Array(_) | Def::Slice(_) => { + for (idx, child) in value + .into_list_like() + .expect("shape says list-like") + .iter() + .enumerate() + { + let child_path = push_index(path, idx); + walk_value_mut(child, &child_path, out)?; + } + Ok(()) } - - let child = struct_value - .field(idx) - .map_err(|_| NamedParametersError::MissingAttr { - path: display_path(&field_path), - })?; - walk_value_ref(child, &field_path, out)?; + Def::Map(_) => { + let mut entries = value + .into_map() + .expect("shape says map") + .iter() + .map(|(key, value)| { + key.as_str().map(|name| (name.to_string(), value)).ok_or( + NamedParametersError::Container { + path: display_path(path), + ty: "HashMap", + }, + ) + }) + .collect::, _>>()?; + + entries.sort_by(|(left, _), (right, _)| left.as_bytes().cmp(right.as_bytes())); + for (key, child) in entries { + let child_path = push_map_key(path, &key); + walk_value_mut(child, &child_path, out)?; + } + Ok(()) + } + Def::Pointer(pointer_def) => match pointer_def.known { + Some(KnownPointer::Box) => { + if let Some(inner) = value + .into_pointer() + .expect("shape says pointer") + .borrow_inner() + { + walk_value_mut(inner, path, out)?; + } + Ok(()) + } + _ => { + if contains_parameter(shape, &mut HashSet::new()) { + return Err(NamedParametersError::Container { + path: display_path(path), + ty: pointer_name(pointer_def.known), + }); + } + Ok(()) + } + }, + _ => Ok(()), } - - Ok(()) } fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet) -> bool { @@ -244,23 +261,110 @@ fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet found } -fn container_name(shape: &'static Shape) -> Option<&'static str> { +fn walk_value_ref( + value: Peek<'_, '_>, + path: &str, + out: &mut Vec<(String, *const dyn DynPredictor)>, +) -> std::result::Result<(), NamedParametersError> { + let shape = value.shape(); + if is_parameter_shape(shape) { + let accessor = + registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { + path: display_path(path), + })?; + let ptr = (accessor.accessor_ref)(value.data().as_byte_ptr().cast::<()>()); + out.push((path.to_string(), ptr)); + return Ok(()); + } + + if matches!(shape.ty, Type::User(UserType::Struct(_))) { + let struct_value = value.into_struct().expect("shape says struct"); + for idx in 0..struct_value.field_count() { + let field = struct_value.ty().fields[idx]; + if field.should_skip_deserializing() { + continue; + } + + let field_path = push_field(path, field.name); + let child = struct_value + .field(idx) + .map_err(|_| NamedParametersError::MissingAttr { + path: display_path(&field_path), + })?; + walk_value_ref(child, &field_path, out)?; + } + return Ok(()); + } + match shape.def { - Def::List(_) => Some("Vec"), - Def::Option(_) => Some("Option"), - Def::Map(_) => Some("HashMap"), - // Slice 5 guard: pointer-like wrappers cannot be safely traversed yet. - Def::Pointer(def) => Some(match def.known { - Some(KnownPointer::Box) => "Box", - Some(KnownPointer::Rc) => "Rc", - Some(KnownPointer::Arc) => "Arc", - _ => "Pointer", - }), - _ => None, + Def::Option(_) => { + if let Some(inner) = value.into_option().expect("shape says option").value() { + walk_value_ref(inner, path, out)?; + } + Ok(()) + } + Def::List(_) | Def::Array(_) | Def::Slice(_) => { + for (idx, child) in value + .into_list_like() + .expect("shape says list-like") + .iter() + .enumerate() + { + let child_path = push_index(path, idx); + walk_value_ref(child, &child_path, out)?; + } + Ok(()) + } + Def::Map(_) => { + let mut entries = value + .into_map() + .expect("shape says map") + .iter() + .map(|(key, value)| { + key.as_str().map(|name| (name.to_string(), value)).ok_or( + NamedParametersError::Container { + path: display_path(path), + ty: "HashMap", + }, + ) + }) + .collect::, _>>()?; + + entries.sort_by(|(left, _), (right, _)| left.as_bytes().cmp(right.as_bytes())); + for (key, child) in entries { + let child_path = push_map_key(path, &key); + walk_value_ref(child, &child_path, out)?; + } + Ok(()) + } + Def::Pointer(pointer_def) => match pointer_def.known { + Some(KnownPointer::Box) => { + if let Some(inner) = value + .into_pointer() + .expect("shape says pointer") + .borrow_inner() + { + walk_value_ref(inner, path, out)?; + } + Ok(()) + } + _ => { + if contains_parameter(shape, &mut HashSet::new()) { + return Err(NamedParametersError::Container { + path: display_path(path), + ty: pointer_name(pointer_def.known), + }); + } + Ok(()) + } + }, + _ => Ok(()), } } fn is_parameter_shape(shape: &'static Shape) -> bool { + // FIXME(dsrs-s2): Name-based leaf detection is intentionally temporary. + // Intended solution is shape-local accessor attr lookup (see links above). shape.type_identifier == "Predict" } @@ -278,6 +382,36 @@ fn push_field(path: &str, field: &str) -> String { } } +fn push_index(path: &str, index: usize) -> String { + if path.is_empty() { + format!("[{index}]") + } else { + format!("{path}[{index}]") + } +} + +fn push_map_key(path: &str, key: &str) -> String { + let escaped = escape_map_key(key); + if path.is_empty() { + format!("['{escaped}']") + } else { + format!("{path}['{escaped}']") + } +} + +fn escape_map_key(key: &str) -> String { + let mut escaped = String::with_capacity(key.len()); + for ch in key.chars() { + match ch { + '\\' => escaped.push_str("\\\\"), + '\'' => escaped.push_str("\\'"), + c if c.is_control() => escaped.push_str(&format!("\\u{{{:X}}}", c as u32)), + c => escaped.push(c), + } + } + escaped +} + fn display_path(path: &str) -> String { if path.is_empty() { "".to_string() @@ -285,3 +419,12 @@ fn display_path(path: &str) -> String { path.to_string() } } + +fn pointer_name(pointer: Option) -> &'static str { + match pointer { + Some(KnownPointer::Box) => "Box", + Some(KnownPointer::Rc) => "Rc", + Some(KnownPointer::Arc) => "Arc", + _ => "Pointer", + } +} diff --git a/crates/dspy-rs/src/core/module_ext.rs b/crates/dspy-rs/src/core/module_ext.rs index eb6d4eee..96cab181 100644 --- a/crates/dspy-rs/src/core/module_ext.rs +++ b/crates/dspy-rs/src/core/module_ext.rs @@ -1,106 +1,50 @@ +use std::sync::Arc; + use crate::{BamlType, Facet, PredictError, Predicted}; use super::Module; pub trait ModuleExt: Module + Sized { - fn map(self, map: F) -> Map + fn map(self, map: F) -> Map where F: Fn(Self::Output) -> T + Send + Sync + 'static, T: BamlType + for<'a> Facet<'a> + Send + Sync, { Map { inner: self, - map: facet::Opaque(map), + map: Arc::new(map), } } - fn and_then(self, and_then: F) -> AndThen + fn and_then(self, and_then: F) -> AndThen where F: Fn(Self::Output) -> Result + Send + Sync + 'static, T: BamlType + for<'a> Facet<'a> + Send + Sync, { AndThen { inner: self, - and_then: facet::Opaque(and_then), + and_then: Arc::new(and_then), } } } impl ModuleExt for M {} -pub struct Map { - pub(crate) inner: M, - map: facet::Opaque, -} - -unsafe fn map_drop(ox: facet::OxPtrMut) { - unsafe { - core::ptr::drop_in_place(ox.ptr().as_byte_ptr() as *mut Map); - } -} - -// `derive(Facet)` currently imposes `F: Facet` for these generic wrappers. -// We intentionally model closure fields as skipped opaque data and only expose `inner`. -unsafe impl<'a, M, F> facet::Facet<'a> for Map +#[derive(facet::Facet)] +#[facet(crate = facet)] +pub struct Map where - M: facet::Facet<'a>, - F: 'static, + M: Module, { - const SHAPE: &'static facet::Shape = &const { - const fn build_type_ops() -> facet::TypeOpsIndirect { - facet::TypeOpsIndirect { - drop_in_place: map_drop::, - default_in_place: None, - clone_into: None, - is_truthy: None, - } - } - - facet::ShapeBuilder::for_sized::>("Map") - .module_path(module_path!()) - .ty(facet::Type::User(facet::UserType::Struct(facet::StructType { - repr: facet::Repr::default(), - kind: facet::StructKind::Struct, - fields: &const { - [ - facet::FieldBuilder::new( - "inner", - facet::shape_of::, - core::mem::offset_of!(Map, inner), - ) - .build(), - facet::FieldBuilder::new( - "map", - facet::shape_of::>, - core::mem::offset_of!(Map, map), - ) - .flags(facet::FieldFlags::SKIP) - .build(), - ] - }, - }))) - .def(facet::Def::Scalar) - .type_params(&[ - facet::TypeParam { - name: "M", - shape: M::SHAPE, - }, - facet::TypeParam { - name: "F", - shape: as facet::Facet<'a>>::SHAPE, - }, - ]) - .vtable_indirect(&facet::VTableIndirect::EMPTY) - .type_ops_indirect(&const { build_type_ops::() }) - .build() - }; + pub(crate) inner: M, + #[facet(opaque, skip)] + map: Arc T + Send + Sync>, } #[allow(async_fn_in_trait)] -impl Module for Map +impl Module for Map where M: Module, - F: Fn(M::Output) -> T + Send + Sync + 'static, T: BamlType + for<'a> Facet<'a> + Send + Sync, { type Input = M::Input; @@ -109,82 +53,25 @@ where async fn forward(&self, input: Self::Input) -> Result, PredictError> { let predicted = self.inner.call(input).await?; let (output, metadata) = predicted.into_parts(); - Ok(Predicted::new((self.map.0)(output), metadata)) + Ok(Predicted::new((self.map)(output), metadata)) } } -pub struct AndThen { - pub(crate) inner: M, - and_then: facet::Opaque, -} - -unsafe fn and_then_drop(ox: facet::OxPtrMut) { - unsafe { - core::ptr::drop_in_place(ox.ptr().as_byte_ptr() as *mut AndThen); - } -} - -// See `Map` above: closure type `F` is intentionally opaque and skipped. -unsafe impl<'a, M, F> facet::Facet<'a> for AndThen +#[derive(facet::Facet)] +#[facet(crate = facet)] +pub struct AndThen where - M: facet::Facet<'a>, - F: 'static, + M: Module, { - const SHAPE: &'static facet::Shape = &const { - const fn build_type_ops() -> facet::TypeOpsIndirect { - facet::TypeOpsIndirect { - drop_in_place: and_then_drop::, - default_in_place: None, - clone_into: None, - is_truthy: None, - } - } - - facet::ShapeBuilder::for_sized::>("AndThen") - .module_path(module_path!()) - .ty(facet::Type::User(facet::UserType::Struct(facet::StructType { - repr: facet::Repr::default(), - kind: facet::StructKind::Struct, - fields: &const { - [ - facet::FieldBuilder::new( - "inner", - facet::shape_of::, - core::mem::offset_of!(AndThen, inner), - ) - .build(), - facet::FieldBuilder::new( - "and_then", - facet::shape_of::>, - core::mem::offset_of!(AndThen, and_then), - ) - .flags(facet::FieldFlags::SKIP) - .build(), - ] - }, - }))) - .def(facet::Def::Scalar) - .type_params(&[ - facet::TypeParam { - name: "M", - shape: M::SHAPE, - }, - facet::TypeParam { - name: "F", - shape: as facet::Facet<'a>>::SHAPE, - }, - ]) - .vtable_indirect(&facet::VTableIndirect::EMPTY) - .type_ops_indirect(&const { build_type_ops::() }) - .build() - }; + pub(crate) inner: M, + #[facet(opaque, skip)] + and_then: Arc Result + Send + Sync>, } #[allow(async_fn_in_trait)] -impl Module for AndThen +impl Module for AndThen where M: Module, - F: Fn(M::Output) -> Result + Send + Sync + 'static, T: BamlType + for<'a> Facet<'a> + Send + Sync, { type Input = M::Input; @@ -193,7 +80,7 @@ where async fn forward(&self, input: Self::Input) -> Result, PredictError> { let predicted = self.inner.call(input).await?; let (output, metadata) = predicted.into_parts(); - let transformed = (self.and_then.0)(output)?; + let transformed = (self.and_then)(output)?; Ok(Predicted::new(transformed, metadata)) } } diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index cb9ef0c8..e15444e3 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -67,6 +67,12 @@ pub struct Predict { impl Predict { pub fn new() -> Self { + // TODO(dsrs-s2): Remove explicit registration after switching to shape-local + // `PredictAccessorFns` attr payload lookup in the walker. + // Upstream: + // - https://github.com/facet-rs/facet/issues/2039 + // - https://github.com/facet-rs/facet/pull/2040 + // - https://github.com/facet-rs/facet/pull/2041 register_predict_accessor( >::SHAPE, predict_dyn_accessor::, diff --git a/crates/dspy-rs/tests/test_named_parameters_containers.rs b/crates/dspy-rs/tests/test_named_parameters_containers.rs index 2ade4362..ac618378 100644 --- a/crates/dspy-rs/tests/test_named_parameters_containers.rs +++ b/crates/dspy-rs/tests/test_named_parameters_containers.rs @@ -1,5 +1,8 @@ +use std::collections::HashMap; +use std::rc::Rc; + use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{NamedParametersError, Predict, Signature, named_parameters}; +use dspy_rs::{NamedParametersError, Predict, Signature, named_parameters, named_parameters_ref}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] @@ -14,49 +17,115 @@ struct QA { #[derive(facet::Facet)] #[facet(crate = facet)] struct ContainerModule { + maybe: Option>, predictors: Vec>, + by_name: HashMap>, + boxed: Box>, } #[derive(facet::Facet)] #[facet(crate = facet)] -struct PointerContainerModule { - predictor: Box>, +struct OptionalModule { + maybe: Option>, + fallback: Predict, } #[test] -fn named_parameters_container_error_for_vec_predict() { +fn named_parameters_traverses_supported_containers_with_canonical_paths() { let mut module = ContainerModule { + maybe: Some(Predict::::new()), predictors: vec![Predict::::new()], + by_name: HashMap::from([ + ("z".to_string(), Predict::::new()), + ("a'b\\c\n".to_string(), Predict::::new()), + ("alpha".to_string(), Predict::::new()), + ]), + boxed: Box::new(Predict::::new()), }; - let err = match named_parameters(&mut module) { - Ok(_) => panic!("containers should error for Slice 5"), - Err(err) => err, - }; + module.predictors.push(Predict::::new()); + + let paths = named_parameters(&mut module) + .expect("containers should be traversed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); assert_eq!( - err, - NamedParametersError::Container { - path: "predictors".to_string(), - ty: "Vec", - } + paths, + vec![ + "maybe".to_string(), + "predictors[0]".to_string(), + "predictors[1]".to_string(), + "by_name['a\\'b\\\\c\\u{A}']".to_string(), + "by_name['alpha']".to_string(), + "by_name['z']".to_string(), + "boxed".to_string(), + ] ); } #[test] -fn named_parameters_container_error_for_box_predict() { - let mut module = PointerContainerModule { - predictor: Box::new(Predict::::new()), +fn named_parameters_skips_none_option() { + let mut module = OptionalModule { + maybe: None, + fallback: Predict::::new(), + }; + + let paths = named_parameters(&mut module) + .expect("none option should not fail") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + assert_eq!(paths, vec!["fallback".to_string()]); +} + +#[test] +fn named_parameters_ref_matches_mutable_with_containers() { + let mut module = ContainerModule { + maybe: Some(Predict::::new()), + predictors: vec![Predict::::new(), Predict::::new()], + by_name: HashMap::from([ + ("z".to_string(), Predict::::new()), + ("a".to_string(), Predict::::new()), + ]), + boxed: Box::new(Predict::::new()), + }; + + let mutable_paths = named_parameters(&mut module) + .expect("mutable traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + let ref_paths = named_parameters_ref(&module) + .expect("shared traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + + assert_eq!(ref_paths, mutable_paths); +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct RcContainerModule { + predictor: Rc>, +} + +#[test] +fn named_parameters_container_error_for_rc_predict() { + let mut module = RcContainerModule { + predictor: Rc::new(Predict::::new()), }; let err = match named_parameters(&mut module) { - Ok(_) => panic!("containers should error for Slice 5"), + Ok(_) => panic!("Rc is not supported for mutable traversal"), Err(err) => err, }; assert_eq!( err, NamedParametersError::Container { path: "predictor".to_string(), - ty: "Box", + ty: "Rc", } - ); + ) } diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index 83328af8..1f02446f 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -73,6 +73,7 @@ Slice 6 verdict: **Implemented** (with explicit post-implementation debt retaine | GEPA uniform compile entrypoint | `GEPA::compile` intentionally bails and redirects to `compile_with_feedback`; inconsistent with uniform U50 contract | **Post-Implementation Cleanup** | GEPA exposes a functional uniform compile surface (or officially documented trait split) without runtime bailout | | `V6` edge annotation storage mechanism | V6 uses global shape-id keyed registration for annotations; shape-local Facet attr storage remains deferred | **Post-Implementation Cleanup** | Move edge annotations to shape-local Facet attrs (or ratify global registration path in spec) and remove dual-path ambiguity | | `V6` TypeIR assignability breadth | Current `is_assignable_to` is conservative (exact, nullable widening, simple unions) | **Post-Implementation Cleanup** | Replace with native/complete TypeIR subtyping semantics that cover richer unions/classes/aliases | +| Typed example loading (Shape A) | Training data remains untyped `Vec` — typed loading (`Vec` where `S: Signature`) requires coercing DataLoader, macro-generated `.input()` extractor, and field mapping. Shares boundary with U50 typed metric surface and legacy `Evaluator`/`Example`→`Prediction` coupling. | **Post-Implementation Cleanup** (with U50) | Training data is `Vec` where `S: Signature`; DataLoader produces typed examples with coercion (R11) and graceful error handling (R12); Signature macro generates `.input() -> S::Input` extractor; entire legacy `Example`/`Prediction` optimizer boundary replaced in single pass. Shaping doc: conversation record (2026-02-09). | ## Cleanup Kickoff Reference diff --git a/promote_attr_like b/promote_attr_like new file mode 100755 index 0000000000000000000000000000000000000000..3426b4fb51df1e67a806d013cf7398e94a08b90a GIT binary patch literal 463984 zcmeFad3;n=n)rQgRYIy#S;@+xS#Ze$BC;hdOez5t0-|Di8K&C=Xf+|AB50dNI|*-^&w0*sp6xv6+~1r!`el?-n&O{@E1oOQrqm;M;F`r%T6%Ng4c9HW zZvIX3wEsW7a{otX-3gq%G*DVva@{vd`oGreJHz@vH1ETCDiV@Q9`qld{Ox5)M=0|Diik0^*TG9JxAiUAVRvq5e1~?`6q3~=bJZPx@ zGvJk$-@f#o+wbMcKzMU+G~mrL;mLg{Jara+cP?IBdiw*5Z@*_{>B@zR2EyBLvjMMO z29AGn-w&SgxcC3k(#0!Q-dl0ko#vB)@J25(;C-2B6p;JSe*<9y@9w)+^bN>BcaHE>s55y@HU}@>?<)wGr zyKvd<#?yiDoUa-1t~LoG_n|#@C{-Q`Px!cltF&}xVM$@>jGN}&YH&0BYVfgH+T>s5 zH0}kaT!L#HS83^;clS|kXn0aq{|CHKyoT{`ruj<#oIMWx@ryI@s~>4plKW72A)xf1 z($5D#*63%*+nNFWhH2wtp8DZQ~f9b-~6;;a?-MzH*o|X3w2`@c3h`kN45W<9wNg=bFVUZ}nB7Ol{Q)IfNToAB~_YZ!bMyfvpu z@Rt59zI)lSyYC7<7zl5#2`?*HfWM*m={z3tuC&xd%zQQw-fy*rCuQ9KWA&WS{rg7{29ZK 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zEkEva`)hYUesS!Z4L*PD@&zNaVhbDf0cly&q-hK3U-6!|#cGB_Z zEV^ZrnUDPTwDg?^@BG?zZLi($IrG7brylst%aO#dcevsq_oMIL^TH|Hjhx)P$D9YQ zZ293Ilg?~>r)vM*SIqaEd)Y}pK5*iXKg~PH8NBVR5j!6E<@|~FZnx&PuCe1UJnyLb zhWY0Pb{uki%Twc@yFLEnwCA3@XUzfkZ(Tcn?WWEb4>)D&st2}ie*3tV_?-ve{M6F7 Rmxng}$ASkYOy|4D{{sN!b3Xt8 literal 0 HcmV?d00001 From 0808ab4efed801d56b734afb1f02ffe6090e642e Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Mon, 9 Feb 2026 23:48:03 -0800 Subject: [PATCH 16/22] shape/breadboard cleanup baseline --- README.md | 59 +- .../02-module-iteration-and-updation.rs | 179 ++--- .../dspy-rs/examples/03-evaluate-hotpotqa.rs | 96 ++- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 113 ++-- .../examples/05-heterogenous-examples.rs | 42 +- .../examples/06-other-providers-batch.rs | 157 ++--- crates/dspy-rs/examples/07-inspect-history.rs | 70 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 175 ++--- crates/dspy-rs/examples/09-gepa-sentiment.rs | 306 +++------ crates/dspy-rs/examples/10-gepa-llm-judge.rs | 441 +++++------- crates/dspy-rs/examples/11-custom-client.rs | 43 +- crates/dspy-rs/examples/12-tracing.rs | 189 +++--- crates/dspy-rs/examples/15-tools.rs | 177 +---- crates/dspy-rs/src/adapter/chat.rs | 411 +----------- crates/dspy-rs/src/adapter/mod.rs | 29 +- crates/dspy-rs/src/core/dyn_predictor.rs | 185 ++--- crates/dspy-rs/src/core/module.rs | 16 +- crates/dspy-rs/src/core/program_graph.rs | 366 +++++----- crates/dspy-rs/src/core/signature.rs | 15 +- crates/dspy-rs/src/evaluate/evaluator.rs | 155 +++-- crates/dspy-rs/src/evaluate/feedback.rs | 129 +--- crates/dspy-rs/src/lib.rs | 93 --- .../dspy-rs/src/modules/chain_of_thought.rs | 65 +- crates/dspy-rs/src/optimizer/copro.rs | 540 +++------------ crates/dspy-rs/src/optimizer/gepa.rs | 577 +++++----------- crates/dspy-rs/src/optimizer/mipro.rs | 483 +++----------- crates/dspy-rs/src/optimizer/mod.rs | 59 +- crates/dspy-rs/src/predictors/mod.rs | 113 ---- crates/dspy-rs/src/predictors/predict.rs | 292 +------- crates/dspy-rs/tests/test_adapters.rs | 631 ++---------------- crates/dspy-rs/tests/test_call_outcome.rs | 43 ++ .../tests/test_chain_of_thought_swap.rs | 28 +- .../test_dyn_predictor_forward_untyped.rs | 96 ++- crates/dspy-rs/tests/test_example.rs | 26 +- .../tests/test_gepa_typed_metric_feedback.rs | 350 ++++++++++ crates/dspy-rs/tests/test_miprov2.rs | 507 ++------------ .../dspy-rs/tests/test_module_facet_shapes.rs | 23 +- crates/dspy-rs/tests/test_named_parameters.rs | 40 ++ .../tests/test_named_parameters_containers.rs | 169 ++++- .../tests/test_named_parameters_ref.rs | 160 ++++- crates/dspy-rs/tests/test_optimizable.rs | 122 ---- ..._optimizer_named_parameters_integration.rs | 87 +++ .../tests/test_optimizer_typed_metric.rs | 192 ++++++ crates/dspy-rs/tests/test_predictors.rs | 101 ++- .../tests/test_program_graph_annotations.rs | 108 ++- .../tests/test_program_graph_mutation.rs | 281 +++++++- crates/dspy-rs/tests/test_signature.rs | 81 +-- crates/dspy-rs/tests/test_signature_macro.rs | 139 ++-- crates/dspy-rs/tests/test_signature_schema.rs | 21 +- crates/dsrs-macros/src/lib.rs | 322 --------- crates/dsrs-macros/src/optim.rs | 103 --- .../tests/optim/derive_optimizable.rs | 24 - docs/docs/optimizers/copro.mdx | 49 +- docs/docs/optimizers/gepa-llm-judge.mdx | 200 +++--- docs/docs/optimizers/gepa.mdx | 66 +- docs/docs/optimizers/miprov2.mdx | 5 +- docs/plans/modules/slices_closure_audit.md | 18 +- docs/plans/modules/tracker.md | 38 +- docs/specs/modules/breadboard.md | 24 +- docs/specs/modules/shapes.md | 14 +- 60 files changed, 3554 insertions(+), 6089 deletions(-) create mode 100644 crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs delete mode 100644 crates/dspy-rs/tests/test_optimizable.rs create mode 100644 crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs create mode 100644 crates/dspy-rs/tests/test_optimizer_typed_metric.rs delete mode 100644 crates/dsrs-macros/src/optim.rs delete mode 100644 crates/dsrs-macros/tests/optim/derive_optimizable.rs diff --git a/README.md b/README.md index 9aa66609..9345cc60 100644 --- a/README.md +++ b/README.md @@ -173,27 +173,34 @@ let lm = LM::builder() #### 5. **Evaluation** - Evaluating your Modules ```rust -impl Evaluator for MyModule { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - // Define your custom metric logic - let expected = example.get("answer", None); - let predicted = prediction.get("answer", None); - - // Example: Exact match metric - if expected.to_lowercase() == predicted.to_lowercase() { - 1.0 - } else { - 0.0 - } +struct ExactMatchMetric; + +impl TypedMetric for ExactMatchMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let expected = example + .data + .get("answer") + .and_then(|v| v.as_str()) + .unwrap_or("") + .trim() + .to_lowercase(); + let actual = prediction.answer.trim().to_lowercase(); + Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } } // Evaluate your module let test_examples = load_test_data(); let module = MyModule::new(); +let metric = ExactMatchMetric; // Automatically runs predictions and computes average metric -let score = module.evaluate(test_examples).await; +let outcomes = evaluate_trainset(&module, &test_examples, &metric).await?; +let score = average_score(&outcomes); println!("Average score: {}", score); ``` @@ -203,9 +210,9 @@ DSRs provides two powerful optimizers: **COPRO (Collaborative Prompt Optimization)** ```rust -#[derive(Optimizable)] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] pub struct MyModule { - #[parameter] predictor: Predict, } @@ -217,10 +224,11 @@ let optimizer = COPRO::builder() // Prepare training data let train_examples = load_training_data(); +let metric = ExactMatchMetric; // Compile optimizes the module in-place let mut module = MyModule::new(); -optimizer.compile(&mut module, train_examples).await?; +optimizer.compile(&mut module, train_examples, &metric).await?; ``` **MIPROv2 (Multi-prompt Instruction Proposal Optimizer v2)** - Advanced optimizer using LLMs @@ -237,25 +245,30 @@ let optimizer = MIPROv2::builder() .temperature(1.0) // Temperature for prompt generation .build(); -optimizer.compile(&mut module, train_examples).await?; +optimizer.compile(&mut module, train_examples, &metric).await?; ``` See `examples/08-optimize-mipro.rs` for a complete example (requires `parquet` feature). -**Component Freezing:** +**Component Discovery:** ```rust -// The Optimizable derive macro automatically implements the trait and marks Module Optimizable -#[derive(Builder, Optimizable)] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] pub struct ComplexPipeline { - #[parameter] // Mark optimizable components analyzer: Predict, - // Non-parameter fields won't be optimized + // Additional Predict leaves are also optimizer-visible summarizer: Predict, - // Non-parameter fields won't be optimized + // Non-predict fields are ignored by optimizers config: Config, } + +let visible = named_parameters_ref(&pipeline)? + .into_iter() + .map(|(path, _)| path) + .collect::>(); +println!("optimizer-visible leaves: {:?}", visible); ``` ## 📚 Examples diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index a78ad54c..290bdf1a 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -1,5 +1,5 @@ /* -Script to iterate and update the parameters of a module. +Script to iterate and update the predictors of a module via the typed walker. Run with: ``` @@ -7,163 +7,88 @@ cargo run --example 02-module-iteration-and-updation ``` */ -#![allow(deprecated)] - +use anyhow::Result; use bon::Builder; -use dspy_rs::{ - CallMetadata, Example, LegacyPredict, LegacySignature, LmError, Module, Optimizable, - PredictError, Predicted, Prediction, Predictor, hashmap, init_tracing, prediction, -}; +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{Predict, Signature, init_tracing, named_parameters, named_parameters_ref}; -#[LegacySignature(cot)] -struct QASignature { +#[derive(Signature, Clone, Debug)] +struct QA { #[input] - pub question: String, + question: String, #[output] - pub answer: String, + answer: String, } -#[LegacySignature] -struct RateSignature { - /// Rate the answer on a scale of 1(very bad) to 10(very good) - +#[derive(Signature, Clone, Debug)] +struct Rate { #[input] - pub question: String, + question: String, #[input] - pub answer: String, + answer: String, #[output] - pub rating: i8, + rating: i8, } -#[derive(Builder, Optimizable)] -pub struct QARater { - #[parameter] - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub answerer: LegacyPredict, +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] +struct QARater { + #[builder(default = Predict::::builder().instruction("Answer clearly.").build())] + answerer: Predict, - #[parameter] - #[builder(default = LegacyPredict::new(RateSignature::new()))] - pub rater: LegacyPredict, + #[builder(default = Predict::::builder().instruction("Rate from 1 to 10.").build())] + rater: Predict, } -#[derive(Builder, Optimizable)] -pub struct NestedModule { - #[parameter] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] +struct NestedModule { #[builder(default = QARater::builder().build())] - pub qa_outer: QARater, + qa_outer: QARater, - #[parameter] #[builder(default = QARater::builder().build())] - pub qa_inner: QARater, + qa_inner: QARater, - #[parameter] - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub extra: LegacyPredict, + #[builder(default = Predict::::builder().instruction("Extra QA predictor.").build())] + extra: Predict, } -impl Module for QARater { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - let answerer_prediction = match self.answerer.forward(inputs.clone()).await { - Ok(prediction) => prediction, - Err(err) => { - return Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }); - } - }; - - let question = inputs.data.get("question").unwrap().clone(); - let answer = answerer_prediction.data.get("answer").unwrap().clone(); - - let inputs = Example::new( - hashmap! { - "answer".to_string() => answer.clone(), - "question".to_string() => question.clone() - }, - vec!["answer".to_string(), "question".to_string()], - vec![], - ); - let rating_prediction = match self.rater.forward(inputs).await { - Ok(prediction) => prediction, - Err(err) => { - return Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }); - } - }; - Ok(Predicted::new( - prediction! { - "answer"=> answer, - "question"=> question, - "rating"=> rating_prediction.data.get("rating").unwrap().clone(), - } - .set_lm_usage(rating_prediction.lm_usage), - CallMetadata::default(), - )) +fn print_instructions(label: &str, module: &T) -> Result<()> +where + T: for<'a> facet::Facet<'a>, +{ + println!("{label}"); + let params = named_parameters_ref(module)?; + for (path, predictor) in params { + println!(" {path} -> {}", predictor.instruction()); } + Ok(()) } #[tokio::main] -async fn main() { - init_tracing().expect("failed to initialize tracing"); +async fn main() -> Result<()> { + init_tracing()?; - // Single module test let mut qa_rater = QARater::builder().build(); - for (name, param) in qa_rater.parameters() { - param - .update_signature_instruction("Updated instruction for ".to_string() + &name) - .unwrap(); + { + let mut params = named_parameters(&mut qa_rater)?; + for (path, predictor) in params.iter_mut() { + predictor.set_instruction(format!("Updated instruction for `{path}`")); + } } - println!( - "single.answerer -> {}", - qa_rater.answerer.signature.instruction() - ); - println!( - "single.rater -> {}", - qa_rater.rater.signature.instruction() - ); - - // Nested module test + print_instructions("single module", &qa_rater)?; + let mut nested = NestedModule::builder().build(); - for (name, param) in nested.parameters() { - param - .update_signature_instruction("Deep updated: ".to_string() + &name) - .unwrap(); + { + let mut params = named_parameters(&mut nested)?; + for (path, predictor) in params.iter_mut() { + predictor.set_instruction(format!("Deep updated: `{path}`")); + } } + print_instructions("nested module", &nested)?; - // Show nested updates (module-in-module) - println!( - "nested.qa_outer.answerer -> {}", - nested.qa_outer.answerer.signature.instruction() - ); - println!( - "nested.qa_outer.rater -> {}", - nested.qa_outer.rater.signature.instruction() - ); - println!( - "nested.qa_inner.answerer -> {}", - nested.qa_inner.answerer.signature.instruction() - ); - println!( - "nested.qa_inner.rater -> {}", - nested.qa_inner.rater.signature.instruction() - ); - println!( - "nested.extra -> {}", - nested.extra.signature.instruction() - ); + Ok(()) } diff --git a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs index d97cd13c..ef88c8f7 100644 --- a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs +++ b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs @@ -1,76 +1,52 @@ /* -Script to evaluate the answerer of the QARater module for a tiny sample of the HotpotQA dataset. +Script to evaluate a typed QA predictor on a HotpotQA sample. Run with: ``` cargo run --example 03-evaluate-hotpotqa --features dataloaders ``` - -Note: The `dataloaders` feature is required for loading datasets. */ -use bon::Builder; +use anyhow::Result; use dspy_rs::{ - CallMetadata, ChatAdapter, Evaluator, Example, LM, LegacyPredict, LegacySignature, LmError, - Module, Optimizable, PredictError, Predicted, Prediction, Predictor, configure, init_tracing, + ChatAdapter, DataLoader, Example, LM, MetricOutcome, Predict, Predicted, Signature, + TypedMetric, average_score, configure, evaluate_trainset, init_tracing, }; -use dspy_rs::DataLoader; - -#[LegacySignature(cot)] -struct QASignature { - /// Concisely answer the question but be accurate. If it's a yes no question, answer with yes or no. +#[derive(Signature, Clone, Debug)] +struct QA { + /// Concisely answer the question, but be accurate. #[input] - pub question: String, + question: String, #[output(desc = "Answer in less than 5 words.")] - pub answer: String, -} - -#[derive(Builder, Optimizable)] -pub struct QARater { - #[parameter] - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub answerer: LegacyPredict, + answer: String, } -impl Module for QARater { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - match self.answerer.forward(inputs).await { - Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), - Err(err) => Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }), - } - } -} - -impl Evaluator for QARater { - const MAX_CONCURRENCY: usize = 16; - const DISPLAY_PROGRESS: bool = true; - - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - let answer = example.data.get("answer").unwrap().clone(); - let prediction = prediction.data.get("answer").unwrap().clone(); - - if answer.to_string().to_lowercase() == prediction.to_string().to_lowercase() { - 1.0 - } else { - 0.0 - } +struct ExactMatchMetric; + +impl TypedMetric> for ExactMatchMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let expected = example + .data + .get("answer") + .and_then(|value| value.as_str()) + .unwrap_or("") + .trim() + .to_lowercase(); + let actual = prediction.answer.trim().to_lowercase(); + + Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } } #[tokio::main] -async fn main() -> anyhow::Result<()> { +async fn main() -> Result<()> { init_tracing()?; configure( @@ -78,7 +54,7 @@ async fn main() -> anyhow::Result<()> { .model("openai:gpt-4o-mini".to_string()) .build() .await?, - ChatAdapter {}, + ChatAdapter, ); let examples = DataLoader::load_hf( @@ -88,12 +64,18 @@ async fn main() -> anyhow::Result<()> { "fullwiki", "validation", true, - )?[..128] + )?[..64] .to_vec(); - let evaluator = QARater::builder().build(); - let metric = evaluator.evaluate(examples).await; + let module = Predict::::builder() + .instruction("Answer with a short, factual response.") + .build(); + let metric = ExactMatchMetric; + + let outcomes = evaluate_trainset(&module, &examples, &metric).await?; + let score = average_score(&outcomes); - println!("Metric: {metric}"); + println!("evaluated {} examples", outcomes.len()); + println!("average exact-match score: {score:.3}"); Ok(()) } diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index f8b54df7..987a71a7 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -1,85 +1,87 @@ /* -Script to optimize the answerer of the QARater module for a tiny sample of the HotpotQA dataset. +Script to optimize a typed QA module for a HotpotQA subset with COPRO. Run with: ``` cargo run --example 04-optimize-hotpotqa --features dataloaders ``` - -Note: The `dataloaders` feature is required for loading datasets. */ +use anyhow::Result; use bon::Builder; use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ - COPRO, CallMetadata, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, - LegacySignature, LmError, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, - Predictor, configure, init_tracing, + COPRO, ChatAdapter, DataLoader, Example, LM, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, + init_tracing, named_parameters_ref, }; -#[LegacySignature(cot)] -struct QASignature { - /// Concisely answer the question but be accurate. If it's a yes no question, answer with yes or no. +#[derive(Signature, Clone, Debug)] +struct QA { + /// Concisely answer the question, but be accurate. #[input] - pub question: String, + question: String, #[output(desc = "Answer in less than 5 words.")] - pub answer: String, + answer: String, } -#[derive(Builder, Optimizable, facet::Facet)] +#[derive(Builder, facet::Facet)] #[facet(crate = facet)] -pub struct QARater { - #[parameter] - #[facet(skip, opaque)] - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub answerer: LegacyPredict, +struct QAModule { + #[builder(default = Predict::::builder().instruction("Answer clearly and briefly.").build())] + answerer: Predict, } -impl Module for QARater { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - match self.answerer.forward(inputs).await { - Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), - Err(err) => Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }), - } +impl Module for QAModule { + type Input = QAInput; + type Output = QAOutput; + + async fn forward(&self, input: QAInput) -> Result, PredictError> { + self.answerer.call(input).await } } -impl Evaluator for QARater { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - let answer = example.data.get("answer").unwrap().clone(); - let prediction = prediction.data.get("answer").unwrap().clone(); - println!("Answer: {answer}"); - println!("Prediction: {prediction}"); - if answer.to_string().to_lowercase() == prediction.to_string().to_lowercase() { - 1.0 - } else { - 0.0 - } +struct ExactMatchMetric; + +impl TypedMetric for ExactMatchMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let expected = example + .data + .get("answer") + .and_then(|value| value.as_str()) + .unwrap_or("") + .trim() + .to_lowercase(); + let actual = prediction.answer.trim().to_lowercase(); + Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } } +fn answerer_instruction(module: &QAModule) -> Result { + let params = named_parameters_ref(module)?; + let (_, predictor) = params + .iter() + .find(|(path, _)| path == "answerer") + .ok_or_else(|| anyhow::anyhow!("answerer predictor not found"))?; + Ok(predictor.instruction()) +} + #[tokio::main] -async fn main() -> anyhow::Result<()> { +async fn main() -> Result<()> { init_tracing()?; configure( LM::builder() .model("openai:gpt-4o-mini".to_string()) .build() - .await - .unwrap(), - ChatAdapter {}, + .await?, + ChatAdapter, ); let examples = DataLoader::load_hf( @@ -92,14 +94,21 @@ async fn main() -> anyhow::Result<()> { )?[..10] .to_vec(); - let mut rater = QARater::builder().build(); - let optimizer = COPRO::builder().breadth(10).depth(1).build(); + let metric = ExactMatchMetric; + let mut module = QAModule::builder().build(); - println!("Rater: {:?}", rater.answerer.get_signature().instruction()); + let baseline = average_score(&evaluate_trainset(&module, &examples, &metric).await?); + println!("baseline score: {baseline:.3}"); + println!("baseline instruction: {}", answerer_instruction(&module)?); - optimizer.compile(&mut rater, examples.clone()).await?; + let optimizer = COPRO::builder().breadth(10).depth(1).build(); + optimizer + .compile(&mut module, examples.clone(), &metric) + .await?; - println!("Rater: {:?}", rater.answerer.get_signature().instruction()); + let optimized = average_score(&evaluate_trainset(&module, &examples, &metric).await?); + println!("optimized score: {optimized:.3}"); + println!("optimized instruction: {}", answerer_instruction(&module)?); Ok(()) } diff --git a/crates/dspy-rs/examples/05-heterogenous-examples.rs b/crates/dspy-rs/examples/05-heterogenous-examples.rs index 0b7448b7..56af5cd4 100644 --- a/crates/dspy-rs/examples/05-heterogenous-examples.rs +++ b/crates/dspy-rs/examples/05-heterogenous-examples.rs @@ -1,5 +1,5 @@ /* -Script to run a heterogenous example. +Script to run a typed predictor from a heterogeneous `Example` payload. Run with: ``` @@ -7,42 +7,54 @@ cargo run --example 05-heterogenous-examples ``` */ -#![allow(deprecated)] - +use anyhow::Result; use dspy_rs::{ - ChatAdapter, LM, LegacyPredict, LegacySignature, Predictor, configure, example, init_tracing, + ChatAdapter, Example, LM, Predict, Signature, configure, init_tracing, input_from_example, }; +use serde_json::json; +use std::collections::HashMap; -#[LegacySignature] +#[derive(Signature, Clone, Debug)] struct NumberSignature { #[input] number: i32, + #[output] number_squared: i32, + #[output] number_cubed: i32, } #[tokio::main] -async fn main() -> anyhow::Result<()> { +async fn main() -> Result<()> { init_tracing()?; configure( LM::builder() .model("openai:gpt-4o-mini".to_string()) .build() - .await - .unwrap(), - ChatAdapter {}, + .await?, + ChatAdapter, ); - let exp = example! { - "number": "input" => 10, - }; - let predict = LegacyPredict::new(NumberSignature::new()); + let heterogeneous = Example::new( + HashMap::from([ + ("number".to_string(), json!(10)), + ("debug_note".to_string(), json!("metadata not used by the signature")), + ("tags".to_string(), json!(["math", "demo"])), + ]), + vec!["number".to_string()], + vec![], + ); - let prediction = predict.forward(exp).await?; - println!("{prediction:?}"); + let input: NumberSignatureInput = input_from_example(&heterogeneous)?; + let predictor = Predict::::new(); + let prediction = predictor.call(input).await?.into_inner(); + println!( + "squared={}, cubed={}", + prediction.number_squared, prediction.number_cubed + ); Ok(()) } diff --git a/crates/dspy-rs/examples/06-other-providers-batch.rs b/crates/dspy-rs/examples/06-other-providers-batch.rs index b494a955..6b63d6fd 100644 --- a/crates/dspy-rs/examples/06-other-providers-batch.rs +++ b/crates/dspy-rs/examples/06-other-providers-batch.rs @@ -1,159 +1,80 @@ /* -Script to run a simple pipeline. +Script to run typed batch inference against multiple providers. Run with: ``` -cargo run --example 01-simple +cargo run --example 06-other-providers-batch ``` */ -#![allow(deprecated)] - use anyhow::Result; -use bon::Builder; use dspy_rs::{ - CallMetadata, ChatAdapter, Example, LM, LegacyPredict, LegacySignature, LmError, Module, - PredictError, Predicted, Prediction, Predictor, configure, example, forward_all, hashmap, - init_tracing, prediction, + ChatAdapter, LM, Predict, Signature, configure, forward_all, init_tracing, }; -#[LegacySignature(cot)] -struct QASignature { - #[input] - pub question: String, - - #[output] - pub answer: String, -} - -#[LegacySignature] -struct RateSignature { - /// Rate the answer on a scale of 1(very bad) to 10(very good) - +#[derive(Signature, Clone, Debug)] +struct QA { #[input] - pub question: String, + question: String, - #[input] - pub answer: String, + #[output(desc = "Think step by step before answering")] + reasoning: String, #[output] - pub rating: i8, -} - -#[derive(Builder)] -pub struct QARater { - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub answerer: LegacyPredict, - #[builder(default = LegacyPredict::new(RateSignature::new()))] - pub rater: LegacyPredict, + answer: String, } -impl Module for QARater { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - let answerer_prediction = match self.answerer.forward(inputs.clone()).await { - Ok(prediction) => prediction, - Err(err) => { - return Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }); - } - }; - - let question = inputs.data.get("question").unwrap().clone(); - let answer = answerer_prediction.data.get("answer").unwrap().clone(); - let answer_lm_usage = answerer_prediction.lm_usage; - - let inputs = Example::new( - hashmap! { - "answer".to_string() => answer.clone(), - "question".to_string() => question.clone() - }, - vec!["answer".to_string(), "question".to_string()], - vec![], - ); - let rating_prediction = match self.rater.forward(inputs).await { - Ok(prediction) => prediction, - Err(err) => { - return Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }); - } - }; - let rating_lm_usage = rating_prediction.lm_usage; - - Ok(Predicted::new( - prediction! { - "answer"=> answer, - "question"=> question, - "rating"=> rating_prediction.data.get("rating").unwrap().clone(), - } - .set_lm_usage(answer_lm_usage + rating_lm_usage), - CallMetadata::default(), - )) - } +fn prompts() -> Vec { + vec![ + QAInput { + question: "What is the capital of France?".to_string(), + }, + QAInput { + question: "What is the capital of Germany?".to_string(), + }, + QAInput { + question: "What is the capital of Italy?".to_string(), + }, + ] } #[tokio::main] -async fn main() { - init_tracing().expect("failed to initialize tracing"); +async fn main() -> Result<()> { + init_tracing()?; + + let predictor = Predict::::builder() + .instruction("Answer with concise factual outputs.") + .build(); - // Anthropic configure( LM::builder() .model("anthropic:claude-sonnet-4-5-20250929".to_string()) .build() - .await - .unwrap(), + .await?, ChatAdapter, ); - let example = vec![ - example! { - "question": "input" => "What is the capital of France?", - }, - example! { - "question": "input" => "What is the capital of Germany?", - }, - example! { - "question": "input" => "What is the capital of Italy?", - }, - ]; - - let qa_rater = QARater::builder().build(); - let prediction = forward_all(&qa_rater, example.clone(), 2) + let anthropic = forward_all(&predictor, prompts(), 2) .await .into_iter() - .map(|outcome| outcome.map(|predicted| predicted.into_inner())) - .collect::, _>>() - .unwrap(); - println!("Anthropic: {prediction:?}"); + .map(|outcome| outcome.map(|predicted| predicted.into_inner().answer)) + .collect::, _>>()?; + println!("Anthropic: {anthropic:?}"); - // Gemini configure( LM::builder() .model("gemini:gemini-2.0-flash".to_string()) .build() - .await - .unwrap(), + .await?, ChatAdapter, ); - let prediction = forward_all(&qa_rater, example, 2) + let gemini = forward_all(&predictor, prompts(), 2) .await .into_iter() - .map(|outcome| outcome.map(|predicted| predicted.into_inner())) - .collect::, _>>() - .unwrap(); - println!("Gemini: {prediction:?}"); + .map(|outcome| outcome.map(|predicted| predicted.into_inner().answer)) + .collect::, _>>()?; + println!("Gemini: {gemini:?}"); + + Ok(()) } diff --git a/crates/dspy-rs/examples/07-inspect-history.rs b/crates/dspy-rs/examples/07-inspect-history.rs index 7c8b05aa..b15b5cec 100644 --- a/crates/dspy-rs/examples/07-inspect-history.rs +++ b/crates/dspy-rs/examples/07-inspect-history.rs @@ -1,5 +1,5 @@ /* -Script to inspect the history of an LM. +Script to inspect LM history after a typed predictor call. Run with: ``` @@ -7,65 +7,39 @@ cargo run --example 07-inspect-history ``` */ -#![allow(deprecated)] +use anyhow::Result; +use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure, get_lm, init_tracing}; -use bon::Builder; -use dspy_rs::{ - CallMetadata, ChatAdapter, Example, LM, LegacyPredict, LegacySignature, LmError, Module, - PredictError, Predicted, Prediction, Predictor, configure, example, get_lm, init_tracing, -}; - -#[LegacySignature] -struct QASignature { +#[derive(Signature, Clone, Debug)] +struct QA { #[input] - pub question: String, - #[output] - pub answer: String, -} - -#[derive(Builder)] -pub struct QARater { - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub answerer: LegacyPredict, -} + question: String, -impl Module for QARater { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - match self.answerer.forward(inputs).await { - Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), - Err(err) => Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }), - } - } + #[output] + answer: String, } #[tokio::main] -async fn main() { - init_tracing().expect("failed to initialize tracing"); +async fn main() -> Result<()> { + init_tracing()?; let lm = LM::builder() .model("openai:gpt-4o-mini".to_string()) .build() - .await - .unwrap(); + .await?; configure(lm, ChatAdapter); - let example = example! { - "question": "input" => "What is the capital of France?", - }; - - let qa_rater = QARater::builder().build(); - let prediction = qa_rater.call(example.clone()).await.unwrap().into_inner(); - println!("Prediction: {prediction:?}"); + let predictor = Predict::::new(); + let output = predictor + .call(QAInput { + question: "What is the capital of France?".to_string(), + }) + .await? + .into_inner(); + println!("prediction: {:?}", output.answer); let history = get_lm().inspect_history(1).await; - println!("History: {history:?}"); + println!("history: {history:?}"); + + Ok(()) } diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index c3073104..968a9b16 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -1,113 +1,97 @@ /* -Example: Optimize a QA module using MIPROv2 - -This example demonstrates the advanced MIPROv2 optimizer, which uses a 3-stage process: -1. Generate traces from your training data -2. Use an LLM to generate candidate prompts with best practices -3. Evaluate candidates and select the best one - -MIPROv2 is more sophisticated than COPRO and typically produces better results -by leveraging prompting best practices and program understanding. +Example: optimize a typed QA module using MIPROv2. Run with: ``` cargo run --example 08-optimize-mipro --features dataloaders ``` - -Note: The `dataloaders` feature is required for loading datasets. */ -#![allow(deprecated)] - use anyhow::Result; use bon::Builder; use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ - CallMetadata, ChatAdapter, DataLoader, Evaluator, Example, LM, LegacyPredict, LegacySignature, - LmError, MIPROv2, Module, Optimizable, Optimizer, PredictError, Predicted, Prediction, - Predictor, configure, example, init_tracing, + ChatAdapter, DataLoader, Example, LM, MIPROv2, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, + init_tracing, named_parameters_ref, }; -#[LegacySignature] +#[derive(Signature, Clone, Debug)] struct QuestionAnswering { /// Answer the question accurately and concisely. #[input] - pub question: String, + question: String, #[output] - pub answer: String, + answer: String, } -#[derive(Builder, Optimizable, facet::Facet)] +#[derive(Builder, facet::Facet)] #[facet(crate = facet)] -pub struct SimpleQA { - #[parameter] - #[facet(skip, opaque)] - #[builder(default = LegacyPredict::new(QuestionAnswering::new()))] - pub answerer: LegacyPredict, +struct SimpleQA { + #[builder(default = Predict::::builder().instruction("Answer clearly.").build())] + answerer: Predict, } impl Module for SimpleQA { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - match self.answerer.forward(inputs).await { - Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), - Err(err) => Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }), - } + type Input = QuestionAnsweringInput; + type Output = QuestionAnsweringOutput; + + async fn forward( + &self, + input: QuestionAnsweringInput, + ) -> Result, PredictError> { + self.answerer.call(input).await } } -impl Evaluator for SimpleQA { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { +struct ExactMatchMetric; + +impl TypedMetric for ExactMatchMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { let expected = example .data .get("answer") - .and_then(|v| v.as_str()) - .unwrap_or(""); - let predicted = prediction - .data - .get("answer") - .and_then(|v| v.as_str()) - .unwrap_or(""); + .and_then(|value| value.as_str()) + .unwrap_or("") + .trim() + .to_lowercase(); + let actual = prediction.answer.trim().to_lowercase(); - // Normalize and compare - let expected_normalized = expected.to_lowercase().trim().to_string(); - let predicted_normalized = predicted.to_lowercase().trim().to_string(); - - if expected_normalized == predicted_normalized { + let score = if expected == actual { 1.0 + } else if expected.contains(&actual) || actual.contains(&expected) { + 0.5 } else { - // Partial credit for substring matches - if expected_normalized.contains(&predicted_normalized) - || predicted_normalized.contains(&expected_normalized) - { - 0.5 - } else { - 0.0 - } - } + 0.0 + }; + + Ok(MetricOutcome::score(score)) } } +fn answerer_instruction(module: &SimpleQA) -> Result { + let params = named_parameters_ref(module)?; + let (_, predictor) = params + .iter() + .find(|(path, _)| path == "answerer") + .ok_or_else(|| anyhow::anyhow!("answerer predictor not found"))?; + Ok(predictor.instruction()) +} + #[tokio::main] async fn main() -> Result<()> { init_tracing()?; println!("=== MIPROv2 Optimizer Example ===\n"); - // Configure the LM configure(LM::default(), ChatAdapter); - // Load training data from HuggingFace println!("Loading training data from HuggingFace..."); let train_examples = DataLoader::load_hf( "hotpotqa/hotpot_qa", @@ -118,76 +102,53 @@ async fn main() -> Result<()> { true, )?; - // Use a small subset for faster optimization let train_subset = train_examples[..15].to_vec(); println!("Using {} training examples\n", train_subset.len()); - // Create the module + let metric = ExactMatchMetric; let mut qa_module = SimpleQA::builder().build(); - // Show initial instruction println!("Initial instruction:"); - println!( - " \"{}\"\n", - qa_module.answerer.get_signature().instruction() - ); + println!(" \"{}\"\n", answerer_instruction(&qa_module)?); - // Test baseline performance println!("Evaluating baseline performance..."); - let baseline_score = qa_module.evaluate(train_subset[..5].to_vec()).await; + let baseline_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); println!("Baseline score: {:.3}\n", baseline_score); - // Create MIPROv2 optimizer let optimizer = MIPROv2::builder() - .num_candidates(8) // Generate 8 candidate prompts - .num_trials(15) // Run 15 evaluation trials - .minibatch_size(10) // Evaluate on 10 examples per candidate - .temperature(1.0) // Temperature for prompt generation - .track_stats(true) // Display detailed statistics + .num_candidates(8) + .num_trials(15) + .minibatch_size(10) + .temperature(1.0) + .track_stats(true) .build(); - // Optimize the module println!("Starting MIPROv2 optimization..."); - println!("This will:"); - println!(" 1. Generate execution traces"); - println!(" 2. Create a program description using LLM"); - println!(" 3. Generate {} candidate prompts with best practices", 8); - println!(" 4. Evaluate each candidate"); - println!(" 5. Select and apply the best prompt\n"); - optimizer - .compile(&mut qa_module, train_subset.clone()) + .compile(&mut qa_module, train_subset.clone(), &metric) .await?; - // Show optimized instruction println!("\nOptimized instruction:"); - println!( - " \"{}\"\n", - qa_module.answerer.get_signature().instruction() - ); + println!(" \"{}\"\n", answerer_instruction(&qa_module)?); - // Test optimized performance println!("Evaluating optimized performance..."); - let optimized_score = qa_module.evaluate(train_subset[..5].to_vec()).await; + let optimized_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); println!("Optimized score: {:.3}", optimized_score); - // Show improvement - let improvement = ((optimized_score - baseline_score) / baseline_score) * 100.0; + let improvement = ((optimized_score - baseline_score) / baseline_score.max(1e-6)) * 100.0; println!( - "\n✓ Improvement: {:.1}% ({:.3} -> {:.3})", + "\nImprovement: {:.1}% ({:.3} -> {:.3})", improvement, baseline_score, optimized_score ); - // Test on a new example - println!("\n--- Testing on a new example ---"); - let test_example = example! { - "question": "input" => "What is the capital of France?", - }; - - let result = qa_module.call(test_example).await?.into_inner(); + let result = qa_module + .call(QuestionAnsweringInput { + question: "What is the capital of France?".to_string(), + }) + .await? + .into_inner(); println!("Question: What is the capital of France?"); - println!("Answer: {}", result.get("answer", None)); + println!("Answer: {}", result.answer); - println!("\n=== Example Complete ==="); Ok(()) } diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index 344d6765..10b83f29 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -1,252 +1,158 @@ -#![allow(deprecated)] - -/// Example: Using GEPA to optimize a sentiment analysis module -/// -/// This example demonstrates: -/// 1. Implementing FeedbackEvaluator with rich textual feedback -/// 2. Using GEPA optimizer for reflective prompt evolution -/// 3. Tracking optimization progress with detailed statistics -/// -/// To run: -/// ``` -/// OPENAI_API_KEY=your_key cargo run --example 09-gepa-sentiment -/// ``` +/* +Example: using GEPA to optimize a typed sentiment module. + +Run with: +``` +OPENAI_API_KEY=your_key cargo run --example 09-gepa-sentiment +``` +*/ + use anyhow::Result; use bon::Builder; use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::*; -use dsrs_macros::{LegacySignature, Optimizable}; - -#[LegacySignature] +use dspy_rs::{ + ChatAdapter, Example, FeedbackMetric, GEPA, LM, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, + init_tracing, +}; +use serde_json::json; +use std::collections::HashMap; + +#[derive(Signature, Clone, Debug)] struct SentimentSignature { - /// Analyze the sentiment of the given text. Classify as 'Positive', 'Negative', or 'Neutral'. + /// Analyze the sentiment and classify as positive, negative, or neutral. #[input] - pub text: String, + text: String, #[output] - pub sentiment: String, + sentiment: String, #[output] - pub reasoning: String, + reasoning: String, } -#[derive(Builder, Optimizable, facet::Facet)] +#[derive(Builder, facet::Facet)] #[facet(crate = facet)] struct SentimentAnalyzer { - #[parameter] - #[facet(skip, opaque)] - predictor: LegacyPredict, + #[builder(default = Predict::::new())] + predictor: Predict, } impl Module for SentimentAnalyzer { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - match self.predictor.forward(inputs).await { - Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), - Err(err) => Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }), - } + type Input = SentimentSignatureInput; + type Output = SentimentSignatureOutput; + + async fn forward( + &self, + input: SentimentSignatureInput, + ) -> Result, PredictError> { + self.predictor.call(input).await } } -impl Evaluator for SentimentAnalyzer { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - let feedback = self.feedback_metric(example, prediction).await; - feedback.score - } -} - -impl FeedbackEvaluator for SentimentAnalyzer { - async fn feedback_metric(&self, example: &Example, prediction: &Prediction) -> FeedbackMetric { - let predicted = prediction - .get("sentiment", None) - .as_str() - .unwrap_or("") - .to_string() - .to_lowercase(); +struct SentimentMetric; +impl TypedMetric for SentimentMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let predicted = prediction.sentiment.trim().to_lowercase(); let expected = example - .get("expected_sentiment", None) - .as_str() + .data + .get("expected_sentiment") + .and_then(|value| value.as_str()) .unwrap_or("") - .to_string() + .trim() .to_lowercase(); - let text = example.get("text", None).as_str().unwrap_or("").to_string(); - - let reasoning = prediction - .get("reasoning", None) - .as_str() - .unwrap_or("") - .to_string(); - - // Calculate score - let correct = predicted == expected; - let score = if correct { 1.0 } else { 0.0 }; - - // Create rich feedback - let mut feedback = if correct { - format!("Correct classification: \"{}\"\n", expected) - } else { + let score = (predicted == expected) as u8 as f32; + let feedback = FeedbackMetric::new( + score, format!( - "Incorrect classification\n Expected: \"{}\"\n Predicted: \"{}\"\n", - expected, predicted - ) - }; - - // Add context about the input - feedback.push_str(&format!(" Input text: \"{}\"\n", text)); - - // Add reasoning analysis - if !reasoning.is_empty() { - feedback.push_str(&format!(" Reasoning: {}\n", reasoning)); - - // Check if reasoning mentions key sentiment words - let has_reasoning_quality = if correct { - // For correct answers, check if reasoning is substantive - reasoning.len() > 20 - } else { - // For incorrect answers, note what went wrong - false - }; - - if has_reasoning_quality { - feedback.push_str(" Reasoning appears detailed\n"); - } else if !correct { - feedback.push_str(" May have misunderstood the text sentiment\n"); - } - } - - FeedbackMetric::new(score, feedback) + "expected={expected}; predicted={predicted}; reasoning={}", + prediction.reasoning + ), + ); + + Ok(MetricOutcome::with_feedback(score, feedback)) } } +fn sentiment_example(text: &str, expected: &str) -> Example { + Example::new( + HashMap::from([ + ("text".to_string(), json!(text)), + ("expected_sentiment".to_string(), json!(expected)), + ]), + vec!["text".to_string()], + vec![], + ) +} + #[tokio::main] async fn main() -> Result<()> { init_tracing()?; - println!("GEPA Sentiment Analysis Optimization Example\n"); - - // Setup LM - let lm = LM::builder().temperature(0.7).build().await.unwrap(); - - configure(lm.clone(), ChatAdapter); + configure( + LM::builder().temperature(0.7).build().await?, + ChatAdapter, + ); - // Create training examples with diverse sentiments let trainset = vec![ - example! { - "text": "input" => "This movie was absolutely fantastic! I loved every minute of it.", - "expected_sentiment": "input" => "positive" - }, - example! { - "text": "input" => "Terrible service, will never come back again.", - "expected_sentiment": "input" => "negative" - }, - example! { - "text": "input" => "The weather is okay, nothing special.", - "expected_sentiment": "input" => "neutral" - }, - example! { - "text": "input" => "Despite some minor issues, I'm quite happy with the purchase.", - "expected_sentiment": "input" => "positive" - }, - example! { - "text": "input" => "I have mixed feelings about this product.", - "expected_sentiment": "input" => "neutral" - }, - example! { - "text": "input" => "This is the worst experience I've ever had!", - "expected_sentiment": "input" => "negative" - }, - example! { - "text": "input" => "It's fine. Does what it's supposed to do.", - "expected_sentiment": "input" => "neutral" - }, - example! { - "text": "input" => "Exceeded all my expectations! Highly recommend!", - "expected_sentiment": "input" => "positive" - }, - example! { - "text": "input" => "Disappointed and frustrated with the outcome.", - "expected_sentiment": "input" => "negative" - }, - example! { - "text": "input" => "Standard quality, nothing remarkable.", - "expected_sentiment": "input" => "neutral" - }, + sentiment_example( + "This movie was absolutely fantastic! I loved every minute of it.", + "positive", + ), + sentiment_example("Terrible service, will never come back again.", "negative"), + sentiment_example("The weather is okay, nothing special.", "neutral"), + sentiment_example( + "Despite some minor issues, I'm quite happy with the purchase.", + "positive", + ), + sentiment_example("I have mixed feelings about this product.", "neutral"), + sentiment_example("This is the worst experience I've ever had!", "negative"), ]; - // Create module - let mut module = SentimentAnalyzer::builder() - .predictor(LegacyPredict::new(SentimentSignature::new())) - .build(); + let metric = SentimentMetric; + let mut module = SentimentAnalyzer::builder().build(); - // Evaluate baseline performance - println!("Baseline Performance:"); - let baseline_score = module.evaluate(trainset.clone()).await; - println!(" Average score: {:.3}\n", baseline_score); + let baseline = average_score(&evaluate_trainset(&module, &trainset, &metric).await?); + println!("Baseline score: {baseline:.3}"); - // Configure GEPA optimizer let gepa = GEPA::builder() .num_iterations(5) - .minibatch_size(5) + .minibatch_size(4) .num_trials(3) .temperature(0.9) .track_stats(true) .build(); - // Run optimization - println!("Starting GEPA optimization...\n"); - let result = gepa - .compile_with_feedback(&mut module, trainset.clone()) - .await?; + let result = gepa.compile(&mut module, trainset.clone(), &metric).await?; - // Display results - println!("\nOptimization Results:"); - println!( - " Best average score: {:.3}", - result.best_candidate.average_score() - ); - println!(" Total rollouts: {}", result.total_rollouts); - println!(" Total LM calls: {}", result.total_lm_calls); - println!(" Generations: {}", result.evolution_history.len()); - - println!("\nBest Instruction:"); - println!(" {}", result.best_candidate.instruction); - - if !result.evolution_history.is_empty() { - println!("\nEvolution History:"); - for entry in &result.evolution_history { - println!(" Generation {}: {:.3}", entry.0, entry.1); - } - } + println!("Best average score: {:.3}", result.best_candidate.average_score()); + println!("Total rollouts: {}", result.total_rollouts); + println!("Total LM calls: {}", result.total_lm_calls); + println!("Best instruction: {}", result.best_candidate.instruction); - // Test optimized module on a new example - println!("\nTesting Optimized Module:"); - let test_example = example! { - "text": "input" => "This product changed my life! Absolutely amazing!", - "expected_sentiment": "input" => "positive" - }; - - let test_prediction = module.call(test_example.clone()).await?.into_inner(); - let test_feedback = module - .feedback_metric(&test_example, &test_prediction) - .await; - - println!( - " Test prediction: {}", - test_prediction.get("sentiment", None) + let test_example = sentiment_example( + "This product changed my life! Absolutely amazing!", + "positive", ); - println!(" Test score: {:.3}", test_feedback.score); - println!(" Feedback:\n{}", test_feedback.feedback); + let test_prediction = module + .call(SentimentSignatureInput { + text: "This product changed my life! Absolutely amazing!".to_string(), + }) + .await?; + let test_feedback = metric.evaluate(&test_example, &test_prediction).await?; + + println!("Test prediction: {}", test_prediction.sentiment); + println!("Test score: {:.3}", test_feedback.score); + if let Some(feedback) = test_feedback.feedback { + println!("Feedback: {}", feedback.feedback); + } Ok(()) } diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index c93ad519..b9d3a9d4 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -1,360 +1,225 @@ -#![allow(deprecated)] - -/// Example: Using LLM-as-a-Judge with GEPA for Math Word Problems -/// -/// This example demonstrates how to use an LLM judge to automatically generate -/// rich textual feedback for GEPA optimization. The judge evaluates both the -/// correctness of answers AND the quality of reasoning. -/// -/// To run: -/// ``` -/// OPENAI_API_KEY=your_key cargo run --example 10-gepa-llm-judge -/// ``` +/* +Example: GEPA optimization with an LLM-as-a-judge typed metric. + +Run with: +``` +OPENAI_API_KEY=your_key cargo run --example 10-gepa-llm-judge +``` +*/ + use anyhow::Result; use bon::Builder; use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::*; -use dsrs_macros::{LegacySignature, Optimizable}; -use std::sync::Arc; - -// ============================================================================ -// Step 1: Define the task signature with chain-of-thought reasoning -// ============================================================================ - -#[LegacySignature(cot)] +use dspy_rs::{ + ChatAdapter, Example, FeedbackMetric, GEPA, LM, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, + init_tracing, +}; +use serde_json::json; +use std::collections::HashMap; + +#[derive(Signature, Clone, Debug)] struct MathWordProblem { - /// Solve the math word problem step by step. Show your work clearly. + /// Solve the problem step by step. #[input] - pub problem: String, + problem: String, #[output] - pub reasoning: String, + reasoning: String, #[output] - pub answer: String, + answer: String, } -// ============================================================================ -// Step 2: Define the LLM judge signature -// ============================================================================ - -#[LegacySignature] +#[derive(Signature, Clone, Debug)] struct MathJudge { - /// You are an expert math teacher evaluating student work. Analyze both - /// the final answer and the reasoning process. Be specific about what - /// went wrong or what was done well. + /// Evaluate student reasoning and answer quality. - #[input(desc = "The math problem that was given")] - pub problem: String, + #[input(desc = "The original problem")] + problem: String, - #[input(desc = "The expected correct answer")] - pub expected_answer: String, + #[input(desc = "Expected answer")] + expected_answer: String, - #[input(desc = "The student's answer")] - pub student_answer: String, + #[input(desc = "Student answer")] + student_answer: String, - #[input(desc = "The student's reasoning/work shown")] - pub student_reasoning: String, + #[input(desc = "Student reasoning")] + student_reasoning: String, - #[output(desc = "Detailed evaluation of the work")] - pub evaluation: String, + #[output(desc = "Evaluation of the solution quality")] + evaluation: String, } -// ============================================================================ -// Step 3: Create the main module with LLM judge -// ============================================================================ - -#[derive(Builder, Optimizable, facet::Facet)] +#[derive(Builder, facet::Facet)] #[facet(crate = facet)] struct MathSolver { - // The main predictor we want to optimize - #[parameter] - #[facet(skip, opaque)] - solver: LegacyPredict, - - // The judge predictor (not optimized, just used for evaluation) - #[facet(skip, opaque)] - judge: LegacyPredict, - - // LM for the judge (could be different/cheaper model) - #[facet(skip, opaque)] - judge_lm: Arc, + #[builder(default = Predict::::new())] + solver: Predict, } impl Module for MathSolver { - type Input = Example; - type Output = Prediction; - - async fn forward(&self, inputs: Example) -> Result, PredictError> { - // Just forward to the solver - judge only used during evaluation. - match self.solver.forward(inputs).await { - Ok(prediction) => Ok(Predicted::new(prediction, CallMetadata::default())), - Err(err) => Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }), - } + type Input = MathWordProblemInput; + type Output = MathWordProblemOutput; + + async fn forward( + &self, + input: MathWordProblemInput, + ) -> Result, PredictError> { + self.solver.call(input).await } } -// ============================================================================ -// Step 4: Implement regular Evaluator for non-GEPA optimizers -// ============================================================================ - -impl Evaluator for MathSolver { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - // For regular optimizers, just return scalar score - let feedback = self.feedback_metric(example, prediction).await; - feedback.score - } +struct LlmJudgeMetric { + judge: Predict, } -// ============================================================================ -// Step 5: Implement FeedbackEvaluator with LLM judge for GEPA -// ============================================================================ - -impl FeedbackEvaluator for MathSolver { - async fn feedback_metric(&self, example: &Example, prediction: &Prediction) -> FeedbackMetric { - // Extract the problem and answers +impl TypedMetric for LlmJudgeMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { let problem = example - .get("problem", None) - .as_str() + .data + .get("problem") + .and_then(|value| value.as_str()) .unwrap_or("") .to_string(); - let expected = example - .get("expected_answer", None) - .as_str() - .unwrap_or("") - .to_string(); - - let student_answer = prediction - .get("answer", None) - .as_str() + .data + .get("expected_answer") + .and_then(|value| value.as_str()) .unwrap_or("") .to_string(); - let student_reasoning = prediction - .get("reasoning", None) - .as_str() - .unwrap_or("No reasoning provided") - .to_string(); - - // Quick check: is the answer exactly correct? - let answer_matches = student_answer.trim() == expected.trim(); + let student_answer = prediction.answer.clone(); + let student_reasoning = prediction.reasoning.clone(); + let exact_match = student_answer.trim() == expected.trim(); - // Use LLM judge to analyze the reasoning quality - // This is where the magic happens - the judge provides rich feedback - let judge_input = example! { - "problem": "input" => problem.clone(), - "expected_answer": "input" => expected.clone(), - "student_answer": "input" => student_answer.clone(), - "student_reasoning": "input" => student_reasoning.clone() - }; - - let judge_output = match self + let judge_output = self .judge - .forward_with_config(judge_input, Arc::clone(&self.judge_lm)) - .await - { - Ok(output) => output, - Err(_) => { - // If judge fails, fall back to simple feedback - let score = if answer_matches { 1.0 } else { 0.0 }; - let simple_feedback = format!( - "Problem: {}\nExpected: {}\nPredicted: {}\nAnswer: {}", - problem, - expected, - student_answer, - if answer_matches { - "CORRECT" + .call(MathJudgeInput { + problem: problem.clone(), + expected_answer: expected.clone(), + student_answer: student_answer.clone(), + student_reasoning: student_reasoning.clone(), + }) + .await; + + let (score, evaluation_text) = match judge_output { + Ok(evaluation) => { + let evaluation_text = evaluation.evaluation.clone(); + let score = if exact_match { + if evaluation_text.to_lowercase().contains("clear") + || evaluation_text.to_lowercase().contains("correct") + { + 1.0 } else { - "INCORRECT" + 0.7 } - ); - return FeedbackMetric::new(score, simple_feedback); + } else if evaluation_text.to_lowercase().contains("partially") + || evaluation_text.to_lowercase().contains("good start") + { + 0.3 + } else { + 0.0 + }; + (score, evaluation_text) } - }; - - let judge_evaluation = judge_output - .get("evaluation", None) - .as_str() - .unwrap_or("Unable to evaluate") - .to_string(); - - // Calculate score based on answer correctness and reasoning quality - // The judge's evaluation helps us assign partial credit - let score = if answer_matches { - // Correct answer - check if reasoning is also sound - if judge_evaluation.to_lowercase().contains("sound reasoning") - || judge_evaluation.to_lowercase().contains("correct approach") - { - 1.0 // Perfect: right answer, good reasoning - } else { - 0.7 // Right answer but flawed reasoning (lucky guess?) - } - } else { - // Wrong answer - check if there's any partial credit - if judge_evaluation.to_lowercase().contains("correct approach") - || judge_evaluation.to_lowercase().contains("good start") - { - 0.3 // Wrong answer but some valid steps - } else { - 0.0 // Completely wrong + Err(err) => { + let fallback = format!( + "judge call failed: {err}; expected={expected}; predicted={student_answer}" + ); + ((exact_match as u8 as f32), fallback) } }; - // Construct rich textual feedback - // This combines factual info with the judge's analysis - let mut feedback = String::new(); + let feedback = FeedbackMetric::new( + score, + format!( + "problem={problem}\nexpected={expected}\npredicted={student_answer}\njudge={evaluation_text}" + ), + ); - feedback.push_str(&format!("Problem: {}\n", problem)); - feedback.push_str(&format!("Expected: {}\n", expected)); - feedback.push_str(&format!("Predicted: {}\n", student_answer)); - - if answer_matches { - feedback.push_str("Answer: CORRECT\n\n"); - } else { - feedback.push_str("Answer: INCORRECT\n\n"); - } - - feedback.push_str("Reasoning Quality Analysis:\n"); - feedback.push_str(&judge_evaluation); - - // Return the feedback metric with score and rich text - FeedbackMetric::new(score, feedback) + Ok(MetricOutcome::with_feedback(score, feedback)) } } -// ============================================================================ -// Step 6: Main function - Set up and run GEPA optimization -// ============================================================================ +fn training_example(problem: &str, expected_answer: &str) -> Example { + Example::new( + HashMap::from([ + ("problem".to_string(), json!(problem)), + ("expected_answer".to_string(), json!(expected_answer)), + ]), + vec!["problem".to_string()], + vec![], + ) +} #[tokio::main] async fn main() -> Result<()> { init_tracing()?; - println!("GEPA with LLM-as-a-Judge Example\n"); - println!("This example shows how to use an LLM judge to automatically"); - println!("generate rich feedback for optimizing a math solver.\n"); - - // Setup: Configure the LLM - // Main LM for the task - let task_lm = LM::builder().temperature(0.7).build().await.unwrap(); - - // Judge LM (could use a different/cheaper model) - let judge_lm = LM::builder().temperature(0.3).build().await.unwrap(); - - configure(task_lm, ChatAdapter); + configure( + LM::builder().temperature(0.7).build().await?, + ChatAdapter, + ); - // Create training examples let trainset = vec![ - example! { - "problem": "input" => "Sarah has 12 apples. She gives 3 to her friend and buys 5 more. How many apples does she have now?", - "expected_answer": "input" => "14" - }, - example! { - "problem": "input" => "A train travels 60 miles in 1 hour. How far will it travel in 3.5 hours at the same speed?", - "expected_answer": "input" => "210" - }, - example! { - "problem": "input" => "There are 24 students in a class. If 1/3 of them are absent, how many students are present?", - "expected_answer": "input" => "16" - }, - example! { - "problem": "input" => "A rectangle has length 8 cm and width 5 cm. What is its area?", - "expected_answer": "input" => "40" - }, - example! { - "problem": "input" => "John has $50. He spends $12 on lunch and $8 on a book. How much money does he have left?", - "expected_answer": "input" => "30" - }, + training_example( + "Sarah has 12 apples. She gives 3 away and buys 5 more. How many apples now?", + "14", + ), + training_example( + "A train travels 60 miles in 1 hour. How far in 3.5 hours?", + "210", + ), + training_example( + "There are 24 students. If 1/3 are absent, how many are present?", + "16", + ), ]; - // Create the module - let mut module = MathSolver::builder() - .solver(LegacyPredict::new(MathWordProblem::new())) - .judge(LegacyPredict::new(MathJudge::new())) - .judge_lm(Arc::new(judge_lm)) - .build(); - - // Evaluate baseline performance - println!("Step 1: Baseline Performance"); - println!("Testing the solver before optimization...\n"); - let baseline_score = module.evaluate(trainset.clone()).await; - println!(" Baseline average score: {:.3}\n", baseline_score); + let mut module = MathSolver::builder().build(); + let metric = LlmJudgeMetric { + judge: Predict::::builder() + .instruction("Be strict and specific when grading student work.") + .build(), + }; - // Configure GEPA optimizer - println!("Step 2: Configure GEPA"); - println!("Setting up the optimizer with budget controls...\n"); + let baseline = average_score(&evaluate_trainset(&module, &trainset, &metric).await?); + println!("Baseline score: {baseline:.3}"); let gepa = GEPA::builder() - .num_iterations(3) // Fewer iterations for demo - .minibatch_size(3) // Smaller batches + .num_iterations(3) + .minibatch_size(2) .temperature(0.9) .track_stats(true) - .maybe_max_lm_calls(Some(100)) // Important: we're using 2x LM calls (task + judge) .build(); - // Run GEPA optimization - println!("Step 3: Run GEPA Optimization"); - println!("The judge will analyze reasoning quality and provide feedback...\n"); + let result = gepa.compile(&mut module, trainset.clone(), &metric).await?; - let result = gepa - .compile_with_feedback(&mut module, trainset.clone()) - .await?; + println!("Best score: {:.3}", result.best_candidate.average_score()); + println!("Total rollouts: {}", result.total_rollouts); + println!("Total LM calls: {}", result.total_lm_calls); + println!("Best instruction: {}", result.best_candidate.instruction); - // Display results - println!("\nStep 4: Results"); - println!("===============\n"); - println!("Optimization complete!"); - println!( - " Best average score: {:.3}", - result.best_candidate.average_score() - ); - println!( - " Improvement: {:.3}", - result.best_candidate.average_score() - baseline_score - ); - println!(" Total rollouts: {}", result.total_rollouts); - println!( - " Total LM calls: {} (includes judge evaluations)", - result.total_lm_calls - ); + let test_problem = "A store sells pencils for $0.25 each. If you buy 8 pencils, what is the total?"; + let test_predicted = module + .call(MathWordProblemInput { + problem: test_problem.to_string(), + }) + .await?; + let test_example = training_example(test_problem, "2"); + let test_metric = metric.evaluate(&test_example, &test_predicted).await?; - println!("\nEvolution over time:"); - for (generation, score) in &result.evolution_history { - println!(" Generation {}: {:.3}", generation, score); + println!("Test answer: {}", test_predicted.answer); + println!("Test score: {:.3}", test_metric.score); + if let Some(feedback) = test_metric.feedback { + println!("Judge feedback:\n{}", feedback.feedback); } - println!("\nOptimized instruction:"); - println!(" {}", result.best_candidate.instruction); - - // Test the optimized solver - println!("\nStep 5: Test Optimized Solver"); - println!("==============================\n"); - - let test_problem = example! { - "problem": "input" => "A store sells pencils for $0.25 each. If you buy 8 pencils, how much will you pay?", - "expected_answer": "input" => "2" - }; - - let test_prediction = module.forward(test_problem.clone()).await?.into_inner(); - let test_feedback = module - .feedback_metric(&test_problem, &test_prediction) - .await; - - println!( - "Test problem: A store sells pencils for $0.25 each. If you buy 8 pencils, how much will you pay?" - ); - println!("\nAnswer: {}", test_prediction.get("answer", None)); - println!("Score: {:.3}\n", test_feedback.score); - println!("Detailed Feedback from Judge:"); - println!("{}", test_feedback.feedback); - Ok(()) } diff --git a/crates/dspy-rs/examples/11-custom-client.rs b/crates/dspy-rs/examples/11-custom-client.rs index 4370b784..8bdcb6b0 100644 --- a/crates/dspy-rs/examples/11-custom-client.rs +++ b/crates/dspy-rs/examples/11-custom-client.rs @@ -1,8 +1,5 @@ /* -Example demonstrating how to use LMClient::from_custom() with a custom Azure OpenAI client -in a simple pipeline, similar to 01-simple.rs. - -This shows how to create a completion model directly and use it with LM. +Example demonstrating LMClient::from_custom() with a typed predictor. Run with: ``` @@ -10,30 +7,24 @@ cargo run --example 11-custom-client ``` */ -#![allow(deprecated)] - use anyhow::Result; -use dspy_rs::{ - ChatAdapter, LM, LMClient, LegacyPredict, LegacySignature, Predictor, configure, example, - init_tracing, -}; -use rig::providers::*; +use dspy_rs::{ChatAdapter, LM, LMClient, Predict, Signature, configure, init_tracing}; +use rig::providers::azure; use std::env; -#[LegacySignature(cot)] -struct QASignature { +#[derive(Signature, Clone, Debug)] +struct QA { #[input] - pub question: String, + question: String, #[output] - pub answer: String, + answer: String, } #[tokio::main] async fn main() -> Result<()> { init_tracing()?; - // Create a custom Azure OpenAI completion model directly let api_key = env::var("AZURE_OPENAI_API_KEY").unwrap_or_else(|_| "dummy-key".to_string()); let endpoint = env::var("AZURE_OPENAI_ENDPOINT") .unwrap_or_else(|_| "https://your-resource.openai.azure.com".to_string()); @@ -42,28 +33,24 @@ async fn main() -> Result<()> { .api_key(api_key) .azure_endpoint(endpoint) .build()?; - let azure_model = azure::CompletionModel::new(azure_client, "gpt-4o-mini"); // deployment name + let azure_model = azure::CompletionModel::new(azure_client, "gpt-4o-mini"); - // Convert to LMClient using Into trait (enum_dispatch generates From implementations) let custom_lm_client: LMClient = azure_model.into(); - - // Create LM with the custom client let lm = LM::builder() .build() .await? .with_client(custom_lm_client) .await?; - // Configure the global settings with our custom LM configure(lm, ChatAdapter); - let example = example! { - "question": "input" => "What is the capital of France?", - }; - - let qa_predictor = LegacyPredict::new(QASignature::new()); - let prediction = qa_predictor.forward(example).await?; - println!("{prediction:?}"); + let predictor = Predict::::new(); + let prediction = predictor + .call(QAInput { + question: "What is the capital of France?".to_string(), + }) + .await?; + println!("answer: {}", prediction.answer); Ok(()) } diff --git a/crates/dspy-rs/examples/12-tracing.rs b/crates/dspy-rs/examples/12-tracing.rs index 7b1bf50c..09c03fe1 100644 --- a/crates/dspy-rs/examples/12-tracing.rs +++ b/crates/dspy-rs/examples/12-tracing.rs @@ -1,94 +1,85 @@ -#![allow(deprecated)] +/* +Example showing typed tracing for a composed module. + +Run with: +``` +cargo run --example 12-tracing +``` +*/ use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, ChatAdapter, LM, LegacyPredict, LegacySignature, LmError, Module, PredictError, - Predicted, Prediction, Predictor, configure, example, init_tracing, prediction, - trace::{self, IntoTracked}, + CallMetadata, ChatAdapter, Example, LM, LmUsage, Module, Predict, PredictError, Predicted, + Prediction, Signature, configure, init_tracing, + trace::{self, Executor}, }; +use serde_json::json; +use std::collections::HashMap; -#[LegacySignature] +#[derive(Signature, Clone, Debug)] struct QASignature { #[input] - pub question: String, + question: String, + #[output] - pub answer: String, + answer: String, } -#[LegacySignature] +#[derive(Signature, Clone, Debug)] struct RateSignature { #[input] - pub question: String, + question: String, + #[input] - pub answer: String, + answer: String, + #[output] - pub rating: i8, + rating: i8, } #[derive(Builder)] -pub struct QARater { - #[builder(default = LegacyPredict::new(QASignature::new()))] - pub answerer: LegacyPredict, - #[builder(default = LegacyPredict::new(RateSignature::new()))] - pub rater: LegacyPredict, +struct QARater { + #[builder(default = Predict::::new())] + answerer: Predict, + + #[builder(default = Predict::::new())] + rater: Predict, } impl Module for QARater { - type Input = dspy_rs::Example; + type Input = QASignatureInput; type Output = Prediction; - async fn forward( - &self, - inputs: dspy_rs::Example, - ) -> Result, PredictError> { - let answerer_prediction = match self.answerer.forward(inputs.clone()).await { - Ok(prediction) => prediction, - Err(err) => { - return Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }); - } - }; - - // We use .get_tracked() to preserve lineage info - let question = inputs.data.get("question").unwrap().clone().into_tracked(); // Input passed through - let answer = answerer_prediction.get_tracked("answer"); - - // The example! macro will now detect the tracked values and record a Map node. - // We don't need .linked_to() anymore if we use tracked values. - let inputs = example! { - "question": "input" => question.clone(), - "answer": "input" => answer.clone() - }; - - let rating_prediction = match self.rater.forward(inputs).await { - Ok(prediction) => prediction, - Err(err) => { - return Err(PredictError::Lm { - source: LmError::Provider { - provider: "legacy_predict".to_string(), - message: err.to_string(), - source: None, - }, - }); - } - }; - - // Final output - Ok(Predicted::new( - prediction! { - "answer"=> answer.value, - "question"=> question.value, - "rating"=> rating_prediction.data.get("rating").unwrap().clone(), - } - .set_lm_usage(rating_prediction.lm_usage), - CallMetadata::default(), - )) + async fn forward(&self, input: QASignatureInput) -> Result, PredictError> { + let answer_predicted = self.answerer.call(input.clone()).await?; + let answer_usage = answer_predicted.metadata().lm_usage.clone(); + let answer_output = answer_predicted.into_inner(); + + let rating_predicted = self + .rater + .call(RateSignatureInput { + question: input.question.clone(), + answer: answer_output.answer.clone(), + }) + .await?; + let rating_usage = rating_predicted.metadata().lm_usage.clone(); + let rating_output = rating_predicted.into_inner(); + + let prediction = Prediction::new( + HashMap::from([ + ("question".to_string(), json!(input.question)), + ("answer".to_string(), json!(answer_output.answer)), + ("rating".to_string(), json!(rating_output.rating)), + ]), + LmUsage { + prompt_tokens: answer_usage.prompt_tokens + rating_usage.prompt_tokens, + completion_tokens: answer_usage.completion_tokens + rating_usage.completion_tokens, + total_tokens: answer_usage.total_tokens + rating_usage.total_tokens, + }, + ); + + Ok(Predicted::new(prediction, CallMetadata::default())) } } @@ -96,58 +87,50 @@ impl Module for QARater { async fn main() -> Result<()> { init_tracing()?; - // Configure with a dummy model string configure( LM::builder() .model("openai:gpt-4o-mini".to_string()) .build() - .await - .unwrap(), + .await?, ChatAdapter, ); let module = QARater::builder().build(); - let example = example! { - "question": "input" => "Hello", - }; println!("Starting trace..."); - let (result, graph) = trace::trace(|| async { module.call(example).await }).await; + let (result, graph) = trace::trace(|| async { + module + .call(QASignatureInput { + question: "Hello".to_string(), + }) + .await + }) + .await; match result { - Ok(predicted) => println!("Prediction keys: {:?}", predicted.into_inner().data.keys()), - Err(e) => println!("Error (expected if no API key/network): {}", e), + Ok(predicted) => println!("Prediction keys: {:?}", predicted.into_inner().keys()), + Err(err) => println!("Error (expected without credentials/network): {err}"), } - println!("Graph Nodes: {}", graph.nodes.len()); + println!("Graph nodes: {}", graph.nodes.len()); for node in &graph.nodes { - println!( - "Node {}: Type={:?}, Inputs={:?}", - node.id, node.node_type, node.inputs - ); + println!("Node {}: type={:?}, inputs={:?}", node.id, node.node_type, node.inputs); } - // Check if the graph is connected: - // Expected: - // Node 0: Root (Initial input) - // Node 1: LegacyPredict (Answerer) -> Inputs: [0] - // Node 2: Map (Data Transform) -> Inputs: [0, 1] - // Node 3: LegacyPredict (Rater) -> Inputs: [2] - - // Execute the graph with new input - println!("\nExecuting Graph with new input..."); - let executor = dspy_rs::trace::Executor::new(graph); - let new_input = example! { - "question": "input" => "What is the capital of Germany?", - }; - - match executor.execute(new_input).await { - Ok(preds) => { - if let Some(final_pred) = preds.first() { - println!("Final Prediction from Graph: {:?}", final_pred); - } - } - Err(e) => println!("Graph Execution Error: {}", e), + println!("\nExecuting graph replay..."); + let executor = Executor::new(graph); + let replay_input = Example::new( + HashMap::from([( + "question".to_string(), + json!("What is the capital of Germany?"), + )]), + vec!["question".to_string()], + vec![], + ); + + match executor.execute(replay_input).await { + Ok(predictions) => println!("Replay outputs: {}", predictions.len()), + Err(err) => println!("Replay failed (expected for Predict nodes): {err}"), } Ok(()) diff --git a/crates/dspy-rs/examples/15-tools.rs b/crates/dspy-rs/examples/15-tools.rs index c3166bc1..c2170238 100644 --- a/crates/dspy-rs/examples/15-tools.rs +++ b/crates/dspy-rs/examples/15-tools.rs @@ -1,37 +1,20 @@ /* -Example: Using Tools with dsrs - -This example demonstrates how to create and use custom tools with dsrs Predictors. -Tools allow LLMs to call external functions during prediction, enabling them to -perform calculations, lookups, API calls, and other operations. - -Important Note: When tools are used, the LLM's final response after tool execution -must include field markers like [[ ## answer ## ]] for the parser to extract the answer. -If the LLM doesn't format its response with these markers, the answer field may be empty, -but you can still see that tools were called via the tool_calls and tool_executions fields. +Example: using tools with a typed predictor. Run with: ``` cargo run --example 15-tools +``` */ -#![allow(deprecated)] - use anyhow::Result; -use dspy_rs::{ - ChatAdapter, LM, LegacyPredict, LegacySignature, Predictor, configure, example, init_tracing, -}; +use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure, init_tracing}; use rig::completion::ToolDefinition; use rig::tool::Tool; use serde::{Deserialize, Serialize}; use std::error::Error; use std::fmt; -// ============================================================================ -// 1. Define Custom Tools -// ============================================================================ - -/// Args struct that matches the JSON schema #[derive(Debug, Deserialize, Serialize)] struct CalculatorArgs { operation: String, @@ -39,7 +22,6 @@ struct CalculatorArgs { b: f64, } -/// A simple calculator tool that can perform basic arithmetic operations #[derive(Clone)] struct CalculatorTool; @@ -58,29 +40,22 @@ impl Tool for CalculatorTool { const NAME: &'static str = "calculator"; type Error = CalculatorError; - type Args = CalculatorArgs; // Typed args that match the JSON schema + type Args = CalculatorArgs; type Output = String; async fn definition(&self, _prompt: String) -> ToolDefinition { ToolDefinition { name: Self::NAME.to_string(), - description: "A calculator that can perform arithmetic operations: add, subtract, multiply, divide, and power".to_string(), + description: "A calculator for add/subtract/multiply/divide/power".to_string(), parameters: serde_json::json!({ "type": "object", "properties": { "operation": { "type": "string", - "enum": ["add", "subtract", "multiply", "divide", "power"], - "description": "The arithmetic operation to perform" - }, - "a": { - "type": "number", - "description": "First number" + "enum": ["add", "subtract", "multiply", "divide", "power"] }, - "b": { - "type": "number", - "description": "Second number" - } + "a": { "type": "number" }, + "b": { "type": "number" } }, "required": ["operation", "a", "b"] }), @@ -88,44 +63,28 @@ impl Tool for CalculatorTool { } async fn call(&self, args: Self::Args) -> Result { - println!("[CalculatorTool] Called with: {:?}", args); - println!( - "[CalculatorTool] Performing {} on {} and {}", - args.operation, args.a, args.b - ); - let result = match args.operation.as_str() { "add" => args.a + args.b, "subtract" => args.a - args.b, "multiply" => args.a * args.b, "divide" => { if args.b == 0.0 { - return Err(CalculatorError("Division by zero".to_string())); + return Err(CalculatorError("division by zero".to_string())); } args.a / args.b } "power" => args.a.powf(args.b), - _ => { - return Err(CalculatorError(format!( - "Unknown operation: {}", - args.operation - ))); - } + other => return Err(CalculatorError(format!("unknown operation: {other}"))), }; - println!("[CalculatorTool] Result: {}", result); - Ok(format!("{}", result)) + Ok(result.to_string()) } } -// ============================================================================ -// 2. Define Signatures -// ============================================================================ - -#[LegacySignature] +#[derive(Signature, Clone, Debug)] struct MathQuestionSignature { - /// You MUST use the calculator tool to perform any calculations. Do not calculate manually. - /// When asked a math question, call the calculator tool with the appropriate operation and numbers. + /// Use the calculator tool for arithmetic. + #[input] question: String, @@ -133,106 +92,38 @@ struct MathQuestionSignature { answer: String, } -// ============================================================================ -// 3. Main Execution -// ============================================================================ - #[tokio::main] async fn main() -> Result<()> { init_tracing()?; - // Setup LM let lm = LM::builder() .model("groq:openai/gpt-oss-120b".to_string()) .build() .await?; - configure(lm.clone(), ChatAdapter); - - println!("=== Using Tools with dsrs ===\n"); - - // Create a predictor with the calculator tool - let calculator_tool = CalculatorTool; - let predictor = LegacyPredict::new_with_tools( - MathQuestionSignature::new(), - vec![Box::new(calculator_tool)], - ); - - println!("Created predictor with calculator tool\n"); - - // Ask a math question - make it very explicit that the tool must be used - // Some models need very explicit instructions to use tools - let question = example! { - "question": "input" => "I need you to calculate 15 multiplied by 23. You MUST call the calculator tool with operation='multiply', a=15, and b=23. Do not calculate this yourself - use the tool." - }; - - let prediction = predictor.forward(question).await?; - println!("Question: Calculate 15 multiplied by 23 using the calculator tool"); - - // Check if tools were called - let tool_calls_count = prediction - .data - .get("tool_calls") - .and_then(|v| v.as_array()) - .map(|arr| arr.len()) - .unwrap_or(0); - - if tool_calls_count == 0 { - println!("\n⚠️ WARNING: No tool calls detected!"); - println!("The LLM did not call the calculator tool."); - println!("This could mean:"); - println!(" 1. The LLM chose to answer directly without using tools"); - println!(" 2. The tool wasn't properly registered"); - println!(" 3. The prompt didn't encourage tool use strongly enough\n"); - } else { - println!("\n✓ Tool was called successfully!\n"); - } + configure(lm, ChatAdapter); - // Extract answer - let answer_value = prediction.get("answer", None); - let answer_str = answer_value.as_str().unwrap_or(""); + let predictor = Predict::::builder() + .instruction("You must call the calculator tool for arithmetic.") + .add_tool(CalculatorTool) + .build(); - if answer_str.is_empty() { - println!("Answer: (empty - LLM response may not have included field markers)"); - } else { - println!("Answer: {}", answer_str); - } - println!(); - - // Print tool usage details - if let Some(tool_calls) = prediction.data.get("tool_calls") { - if let Some(calls_array) = tool_calls.as_array() { - println!("Tool calls made: {}", calls_array.len()); - for (i, call) in calls_array.iter().enumerate() { - if let Some(call_obj) = call.as_object() - && let Some(func) = call_obj.get("function") - && let Some(func_obj) = func.as_object() - { - let name = func_obj - .get("name") - .and_then(|v| v.as_str()) - .unwrap_or("unknown"); - let args = func_obj - .get("arguments") - .and_then(|v| v.as_str()) - .unwrap_or("{}"); - println!(" Tool call {}: {} with args: {}", i + 1, name, args); - } - } - } - } else { - println!("Tool calls: None"); + let predicted = predictor + .call(MathQuestionSignatureInput { + question: "Calculate 15 multiplied by 23 using the calculator tool.".to_string(), + }) + .await?; + + println!("answer: {}", predicted.answer); + + let metadata = predicted.metadata(); + println!("tool calls: {}", metadata.tool_calls.len()); + for (idx, call) in metadata.tool_calls.iter().enumerate() { + println!(" {}. {}", idx + 1, call.function.name); } - if let Some(tool_executions) = prediction.data.get("tool_executions") { - if let Some(exec_array) = tool_executions.as_array() { - println!("Tool executions:"); - for (i, exec) in exec_array.iter().enumerate() { - let exec_str = exec.as_str().unwrap_or("N/A"); - println!(" Execution {}: {}", i + 1, exec_str); - } - } - } else { - println!("Tool executions: None"); + println!("tool executions: {}", metadata.tool_executions.len()); + for (idx, exec) in metadata.tool_executions.iter().enumerate() { + println!(" {}. {}", idx + 1, exec); } Ok(()) diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index bef0c362..4175f383 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -5,20 +5,15 @@ use bamltype::jsonish::deserializer::coercer::run_user_checks; use bamltype::jsonish::deserializer::deserialize_flags::DeserializerConditions; use indexmap::IndexMap; use regex::Regex; -use rig::tool::ToolDyn; -use serde_json::{Value, json}; -use std::collections::HashMap; -use std::sync::{Arc, LazyLock}; -use tracing::{Instrument, debug, trace}; +use std::sync::LazyLock; +use tracing::{debug, trace}; use super::Adapter; use crate::CallMetadata; -use crate::serde_utils::get_iter_from_value; -use crate::utils::cache::CacheEntry; use crate::{ - BamlType, BamlValue, Cache, Chat, ConstraintLevel, ConstraintResult, Example, FieldMeta, Flag, - JsonishError, LM, Message, MetaSignature, OutputFormatContent, ParseError, PredictError, - Predicted, Prediction, RenderOptions, Signature, TypeIR, + BamlType, BamlValue, ConstraintLevel, ConstraintResult, FieldMeta, Flag, JsonishError, + Message, OutputFormatContent, ParseError, PredictError, Predicted, RenderOptions, Signature, + TypeIR, }; #[derive(Default, Clone)] @@ -255,188 +250,6 @@ impl ChatAdapter { self.format_response_instructions_schema(S::schema()) } - fn get_field_attribute_list( - &self, - field_iter: impl Iterator, - ) -> String { - let mut field_attributes = String::new(); - for (i, (field_name, field)) in field_iter.enumerate() { - let data_type = field["type"].as_str().unwrap_or("String"); - let desc = field["desc"].as_str().unwrap_or(""); - - field_attributes.push_str(format!("{}. `{field_name}` ({data_type})", i + 1).as_str()); - if !desc.is_empty() { - field_attributes.push_str(format!(": {desc}").as_str()); - } - field_attributes.push('\n'); - } - field_attributes - } - - fn get_field_structure(&self, field_iter: impl Iterator) -> String { - let mut field_structure = String::new(); - for (field_name, field) in field_iter { - let schema = &field["schema"]; - let data_type = field["type"].as_str().unwrap_or("String"); - - // Handle schema as either string or JSON object - let schema_prompt = if let Some(s) = schema.as_str() { - if s.is_empty() && data_type == "String" { - "".to_string() - } else if !s.is_empty() { - format!("\t# note: the value you produce must adhere to the JSON schema: {s}") - } else { - format!("\t# note: the value you produce must be a single {data_type} value") - } - } else if schema.is_object() || schema.is_array() { - // Convert JSON object/array to string for display - let schema_str = schema.to_string(); - format!( - "\t# note: the value you produce must adhere to the JSON schema: {schema_str}" - ) - } else if data_type == "String" { - "".to_string() - } else { - format!("\t# note: the value you produce must be a single {data_type} value") - }; - - field_structure.push_str( - format!("[[ ## {field_name} ## ]]\n{field_name}{schema_prompt}\n\n").as_str(), - ); - } - field_structure - } - - fn format_system_message(&self, signature: &dyn MetaSignature) -> String { - let field_description = self.format_field_description(signature); - let field_structure = self.format_field_structure(signature); - let task_description = self.format_task_description(signature); - - format!("{field_description}\n{field_structure}\n{task_description}") - } - - fn format_field_description(&self, signature: &dyn MetaSignature) -> String { - let input_field_description = - self.get_field_attribute_list(get_iter_from_value(&signature.input_fields())); - let output_field_description = - self.get_field_attribute_list(get_iter_from_value(&signature.output_fields())); - - format!( - "Your input fields are:\n{input_field_description}\nYour output fields are:\n{output_field_description}" - ) - } - - fn format_field_structure(&self, signature: &dyn MetaSignature) -> String { - let input_field_structure = - self.get_field_structure(get_iter_from_value(&signature.input_fields())); - let output_field_structure = - self.get_field_structure(get_iter_from_value(&signature.output_fields())); - - format!( - "All interactions will be structured in the following way, with the appropriate values filled in.\n\n{input_field_structure}{output_field_structure}[[ ## completed ## ]]\n" - ) - } - - fn format_task_description(&self, signature: &dyn MetaSignature) -> String { - let instruction = if signature.instruction().is_empty() { - format!( - "Given the fields {}, produce the fields {}.", - signature - .input_fields() - .as_object() - .unwrap() - .keys() - .map(|k| format!("`{k}`")) - .collect::>() - .join(", "), - signature - .output_fields() - .as_object() - .unwrap() - .keys() - .map(|k| format!("`{k}`")) - .collect::>() - .join(", ") - ) - } else { - signature.instruction().clone() - }; - - let mut indented = String::new(); - for line in instruction.lines() { - indented.push('\n'); - indented.push_str(" "); - indented.push_str(line); - } - - format!("In adhering to this structure, your objective is: {indented}") - } - - fn format_user_message(&self, signature: &dyn MetaSignature, inputs: &Example) -> String { - let mut input_str = String::new(); - for (field_name, _) in get_iter_from_value(&signature.input_fields()) { - let field_value = inputs.get(field_name.as_str(), None); - // Extract the actual string value if it's a JSON string, otherwise use as is - let field_value_str = if let Some(s) = field_value.as_str() { - s.to_string() - } else { - field_value.to_string() - }; - - input_str - .push_str(format!("[[ ## {field_name} ## ]]\n{field_value_str}\n\n",).as_str()); - } - - let first_output_field = signature - .output_fields() - .as_object() - .unwrap() - .keys() - .next() - .unwrap() - .clone(); - let mut user_message = format!( - "Respond with the corresponding output fields, starting with the field `[[ ## {first_output_field} ## ]]`," - ); - for (field_name, _) in get_iter_from_value(&signature.output_fields()).skip(1) { - user_message.push_str(format!(" then `[[ ## {field_name} ## ]]`,").as_str()); - } - user_message.push_str(" and then ending with the marker for `[[ ## completed ## ]]`."); - - format!("{input_str}{user_message}") - } - - fn format_assistant_message(&self, signature: &dyn MetaSignature, outputs: &Example) -> String { - let mut sections = Vec::new(); - for (field_name, _) in get_iter_from_value(&signature.output_fields()) { - let field_value = outputs.get(field_name.as_str(), None); - // Extract the actual string value if it's a JSON string, otherwise use as is - let field_value_str = if let Some(s) = field_value.as_str() { - s.to_string() - } else { - field_value.to_string() - }; - - sections.push(format!("[[ ## {field_name} ## ]]\n{field_value_str}")); - } - let mut assistant_message = sections.join("\n\n"); - assistant_message.push_str("\n\n[[ ## completed ## ]]\n"); - assistant_message - } - - fn format_demos(&self, signature: &dyn MetaSignature, demos: &Vec) -> Chat { - let mut chat = Chat::new(vec![]); - - for demo in demos { - let user_message = self.format_user_message(signature, demo); - let assistant_message = self.format_assistant_message(signature, demo); - chat.push("user", &user_message); - chat.push("assistant", &assistant_message); - } - - chat - } - pub fn format_system_message_typed(&self) -> Result { self.format_system_message_typed_with_instruction::(None) } @@ -1001,75 +814,6 @@ impl ChatAdapter { Ok(Predicted::new(output, metadata)) } - #[tracing::instrument( - name = "dsrs.adapter.chat.parse", - level = "debug", - skip(self, signature, response), - fields( - output_field_count = signature - .output_fields() - .as_object() - .map(|fields| fields.len()) - .unwrap_or_default() - ) - )] - fn parse_response_strict( - &self, - signature: &dyn MetaSignature, - response: Message, - ) -> Result> { - let mut output = HashMap::new(); - - let response_content = response.content(); - let sections = parse_sections(&response_content); - - for (field_name, field) in get_iter_from_value(&signature.output_fields()) { - let Some(field_value) = sections.get(&field_name) else { - debug!( - field = %field_name, - "legacy parse missing required output field" - ); - return Err(anyhow::anyhow!( - "missing required field `{}` in model output", - field_name - )); - }; - let extracted_field = field_value.as_str(); - let data_type = field["type"].as_str().unwrap(); - let schema = &field["schema"]; - - // Check if schema exists (as string or object) - let has_schema = if let Some(s) = schema.as_str() { - !s.is_empty() - } else { - schema.is_object() || schema.is_array() - }; - - if !has_schema && data_type == "String" { - output.insert(field_name.clone(), json!(extracted_field)); - } else { - let value = serde_json::from_str(extracted_field).map_err(|err| { - debug!( - field = %field_name, - data_type, - raw_text_len = extracted_field.len(), - error = %err, - "legacy parse json coercion failed" - ); - anyhow::anyhow!( - "failed to parse field `{}` as {} from model output: {}", - field_name, - data_type, - err - ) - })?; - output.insert(field_name.clone(), value); - } - } - - debug!(parsed_fields = output.len(), "legacy parse completed"); - Ok(output) - } } fn parse_sections(content: &str) -> IndexMap { @@ -1251,147 +995,4 @@ fn collect_from_conditions(conditions: &DeserializerConditions, flags: &mut Vec< flags.extend(conditions.flags.iter().cloned()); } -#[async_trait::async_trait] -impl Adapter for ChatAdapter { - #[tracing::instrument( - name = "dsrs.adapter.chat.format", - level = "trace", - skip(self, signature, inputs), - fields( - input_fields = inputs.input_keys.len(), - output_fields = inputs.output_keys.len() - ) - )] - fn format(&self, signature: &dyn MetaSignature, inputs: Example) -> Chat { - let system_message = self.format_system_message(signature); - let user_message = self.format_user_message(signature, &inputs); - - let demo_examples = signature.demos(); - let demos = self.format_demos(signature, &demo_examples); - - let mut chat = Chat::new(vec![]); - chat.push("system", &system_message); - chat.push_all(&demos); - chat.push("user", &user_message); - - trace!( - demo_count = demo_examples.len(), - system_len = system_message.len(), - user_len = user_message.len(), - message_count = chat.len(), - "legacy prompt formatted" - ); - - chat - } - - fn parse_response( - &self, - signature: &dyn MetaSignature, - response: Message, - ) -> HashMap { - self.parse_response_strict(signature, response) - .unwrap_or_else(|err| panic!("legacy parse failed: {err}")) - } - - #[tracing::instrument( - name = "dsrs.adapter.chat.call", - level = "debug", - skip(self, lm, signature, inputs, tools), - fields( - cache_enabled = lm.cache, - tool_count = tools.len(), - input_field_count = inputs.data.len() - ) - )] - async fn call( - &self, - lm: Arc, - signature: &dyn MetaSignature, - inputs: Example, - tools: Vec>, - ) -> Result { - // Check cache first (release lock immediately after checking) - if lm.cache - && let Some(cache) = lm.cache_handler.as_ref() - { - let cache_key = inputs.clone(); - if let Some(cached) = cache.lock().await.get(cache_key).await? { - debug!( - cache_hit = true, - output_fields = cached.data.len(), - "adapter cache hit" - ); - return Ok(cached); - } - debug!(cache_hit = false, "adapter cache miss"); - } - let messages = self.format(signature, inputs.clone()); - trace!(message_count = messages.len(), "adapter formatted chat"); - let response = lm.call(messages, tools).await?; - debug!( - prompt_tokens = response.usage.prompt_tokens, - completion_tokens = response.usage.completion_tokens, - total_tokens = response.usage.total_tokens, - tool_calls = response.tool_calls.len(), - "adapter lm call complete" - ); - let prompt_str = response.chat.to_json().to_string(); - - let mut output = self.parse_response_strict(signature, response.output)?; - if !response.tool_calls.is_empty() { - output.insert( - "tool_calls".to_string(), - response - .tool_calls - .into_iter() - .map(|call| json!(call)) - .collect::(), - ); - output.insert( - "tool_executions".to_string(), - response - .tool_executions - .into_iter() - .map(|execution| json!(execution)) - .collect::(), - ); - } - debug!(output_fields = output.len(), "adapter parsed output"); - - let prediction = Prediction { - data: output, - lm_usage: response.usage, - node_id: None, - }; - - // Store in cache if enabled - if lm.cache - && let Some(cache) = lm.cache_handler.as_ref() - { - let (tx, rx) = tokio::sync::mpsc::channel(1); - let cache_clone = cache.clone(); - let inputs_clone = inputs.clone(); - - // Spawn the cache insert operation to avoid deadlock - tokio::spawn( - async move { - let _ = cache_clone.lock().await.insert(inputs_clone, rx).await; - } - .instrument(tracing::Span::current()), - ); - trace!("spawned async cache insert"); - - // Send the result to the cache - tx.send(CacheEntry { - prompt: prompt_str, - prediction: prediction.clone(), - }) - .await - .map_err(|_| anyhow::anyhow!("Failed to send to cache"))?; - trace!("sent prediction to cache insert task"); - } - - Ok(prediction) - } -} +impl Adapter for ChatAdapter {} diff --git a/crates/dspy-rs/src/adapter/mod.rs b/crates/dspy-rs/src/adapter/mod.rs index 39d80c68..bcd91db9 100644 --- a/crates/dspy-rs/src/adapter/mod.rs +++ b/crates/dspy-rs/src/adapter/mod.rs @@ -2,27 +2,8 @@ pub mod chat; pub use chat::*; -use crate::{Chat, Example, LM, Message, MetaSignature, Prediction}; -use anyhow::Result; -use async_trait::async_trait; -use rig::tool::ToolDyn; -use serde_json::Value; -use std::collections::HashMap; -use std::sync::Arc; - -#[async_trait] -pub trait Adapter: Send + Sync + 'static { - fn format(&self, signature: &dyn MetaSignature, inputs: Example) -> Chat; - fn parse_response( - &self, - signature: &dyn MetaSignature, - response: Message, - ) -> HashMap; - async fn call( - &self, - lm: Arc, - signature: &dyn MetaSignature, - inputs: Example, - tools: Vec>, - ) -> Result; -} +/// Marker trait for configurable adapters. +/// +/// Typed call paths currently use `ChatAdapter` directly, while global settings keep +/// an adapter instance to preserve public configuration shape. +pub trait Adapter: Send + Sync + 'static {} diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index 0b2323a5..a644a1c6 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -57,13 +57,16 @@ impl Eq for PredictAccessorFns {} static ACCESSOR_REGISTRY: OnceLock>> = OnceLock::new(); +fn accessor_registry() -> &'static Mutex> { + ACCESSOR_REGISTRY.get_or_init(|| Mutex::new(HashMap::new())) +} + pub fn register_predict_accessor( shape: &'static Shape, accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, accessor_ref: fn(*const ()) -> *const dyn DynPredictor, ) { - let registry = ACCESSOR_REGISTRY.get_or_init(|| Mutex::new(HashMap::new())); - let mut guard = registry + let mut guard = accessor_registry() .lock() .expect("predict accessor registry lock poisoned"); guard.entry(shape.id).or_insert(PredictAccessorFns { @@ -76,7 +79,9 @@ pub fn register_predict_accessor( pub enum NamedParametersError { #[error("container `{ty}` at `{path}` contains a parameter leaf")] Container { path: String, ty: &'static str }, - #[error("parameter marker at `{path}` is missing a registered accessor")] + #[error( + "parameter-like leaf at `{path}` is missing a registered accessor (S2 fallback is active; exit criteria: shape-local accessor payloads)" + )] MissingAttr { path: String }, } @@ -88,7 +93,7 @@ where M: for<'a> Facet<'a>, { let mut raw_handles = Vec::<(String, *mut dyn DynPredictor)>::new(); - walk_value_mut(Peek::new(&*module), "", &mut raw_handles)?; + walk_value::(Peek::new(&*module), "", &mut raw_handles)?; let mut handles = Vec::with_capacity(raw_handles.len()); for (path, ptr) in raw_handles { @@ -108,7 +113,7 @@ where M: for<'a> Facet<'a>, { let mut raw_handles = Vec::<(String, *const dyn DynPredictor)>::new(); - walk_value_ref(Peek::new(module), "", &mut raw_handles)?; + walk_value::(Peek::new(module), "", &mut raw_handles)?; let mut handles = Vec::with_capacity(raw_handles.len()); for (path, ptr) in raw_handles { @@ -120,23 +125,49 @@ where Ok(handles) } -fn walk_value_mut( +trait WalkAccess { + type RawPtr; + + fn pointer(accessor: PredictAccessorFns, value: Peek<'_, '_>) -> Self::RawPtr; +} + +struct MutableAccess; + +impl WalkAccess for MutableAccess { + type RawPtr = *mut dyn DynPredictor; + + fn pointer(accessor: PredictAccessorFns, value: Peek<'_, '_>) -> Self::RawPtr { + // SAFETY: `named_parameters` has exclusive access to `module` for the full traversal. + // We only cast to a mutable pointer after the read-only walk has located the leaf. + (accessor.accessor_mut)((value.data().as_byte_ptr() as *mut u8).cast::<()>()) + } +} + +struct SharedAccess; + +impl WalkAccess for SharedAccess { + type RawPtr = *const dyn DynPredictor; + + fn pointer(accessor: PredictAccessorFns, value: Peek<'_, '_>) -> Self::RawPtr { + (accessor.accessor_ref)(value.data().as_byte_ptr().cast::<()>()) + } +} + +fn walk_value( value: Peek<'_, '_>, path: &str, - out: &mut Vec<(String, *mut dyn DynPredictor)>, + out: &mut Vec<(String, Access::RawPtr)>, ) -> std::result::Result<(), NamedParametersError> { let shape = value.shape(); - if is_parameter_shape(shape) { - let accessor = - registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { - path: display_path(path), - })?; - // SAFETY: `named_parameters` has exclusive access to `module` for the full traversal. - // We only cast to a mutable pointer after the read-only walk has located the leaf. - let ptr = (accessor.accessor_mut)((value.data().as_byte_ptr() as *mut u8).cast::<()>()); - out.push((path.to_string(), ptr)); + if let Some(accessor) = lookup_registered_predict_accessor(shape) { + out.push((path.to_string(), Access::pointer(accessor, value))); return Ok(()); } + if is_predict_type_name(shape) { + return Err(NamedParametersError::MissingAttr { + path: display_path(path), + }); + } if matches!(shape.ty, Type::User(UserType::Struct(_))) { let struct_value = value.into_struct().expect("shape says struct"); @@ -152,7 +183,7 @@ fn walk_value_mut( .map_err(|_| NamedParametersError::MissingAttr { path: display_path(&field_path), })?; - walk_value_mut(child, &field_path, out)?; + walk_value::(child, &field_path, out)?; } return Ok(()); } @@ -160,7 +191,7 @@ fn walk_value_mut( match shape.def { Def::Option(_) => { if let Some(inner) = value.into_option().expect("shape says option").value() { - walk_value_mut(inner, path, out)?; + walk_value::(inner, path, out)?; } Ok(()) } @@ -172,7 +203,7 @@ fn walk_value_mut( .enumerate() { let child_path = push_index(path, idx); - walk_value_mut(child, &child_path, out)?; + walk_value::(child, &child_path, out)?; } Ok(()) } @@ -194,7 +225,7 @@ fn walk_value_mut( entries.sort_by(|(left, _), (right, _)| left.as_bytes().cmp(right.as_bytes())); for (key, child) in entries { let child_path = push_map_key(path, &key); - walk_value_mut(child, &child_path, out)?; + walk_value::(child, &child_path, out)?; } Ok(()) } @@ -205,7 +236,7 @@ fn walk_value_mut( .expect("shape says pointer") .borrow_inner() { - walk_value_mut(inner, path, out)?; + walk_value::(inner, path, out)?; } Ok(()) } @@ -224,7 +255,7 @@ fn walk_value_mut( } fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet) -> bool { - if is_parameter_shape(shape) { + if is_parameter_shape(shape) || is_predict_type_name(shape) { return true; } @@ -261,114 +292,18 @@ fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet found } -fn walk_value_ref( - value: Peek<'_, '_>, - path: &str, - out: &mut Vec<(String, *const dyn DynPredictor)>, -) -> std::result::Result<(), NamedParametersError> { - let shape = value.shape(); - if is_parameter_shape(shape) { - let accessor = - registered_accessor(shape).ok_or_else(|| NamedParametersError::MissingAttr { - path: display_path(path), - })?; - let ptr = (accessor.accessor_ref)(value.data().as_byte_ptr().cast::<()>()); - out.push((path.to_string(), ptr)); - return Ok(()); - } - - if matches!(shape.ty, Type::User(UserType::Struct(_))) { - let struct_value = value.into_struct().expect("shape says struct"); - for idx in 0..struct_value.field_count() { - let field = struct_value.ty().fields[idx]; - if field.should_skip_deserializing() { - continue; - } - - let field_path = push_field(path, field.name); - let child = struct_value - .field(idx) - .map_err(|_| NamedParametersError::MissingAttr { - path: display_path(&field_path), - })?; - walk_value_ref(child, &field_path, out)?; - } - return Ok(()); - } - - match shape.def { - Def::Option(_) => { - if let Some(inner) = value.into_option().expect("shape says option").value() { - walk_value_ref(inner, path, out)?; - } - Ok(()) - } - Def::List(_) | Def::Array(_) | Def::Slice(_) => { - for (idx, child) in value - .into_list_like() - .expect("shape says list-like") - .iter() - .enumerate() - { - let child_path = push_index(path, idx); - walk_value_ref(child, &child_path, out)?; - } - Ok(()) - } - Def::Map(_) => { - let mut entries = value - .into_map() - .expect("shape says map") - .iter() - .map(|(key, value)| { - key.as_str().map(|name| (name.to_string(), value)).ok_or( - NamedParametersError::Container { - path: display_path(path), - ty: "HashMap", - }, - ) - }) - .collect::, _>>()?; - - entries.sort_by(|(left, _), (right, _)| left.as_bytes().cmp(right.as_bytes())); - for (key, child) in entries { - let child_path = push_map_key(path, &key); - walk_value_ref(child, &child_path, out)?; - } - Ok(()) - } - Def::Pointer(pointer_def) => match pointer_def.known { - Some(KnownPointer::Box) => { - if let Some(inner) = value - .into_pointer() - .expect("shape says pointer") - .borrow_inner() - { - walk_value_ref(inner, path, out)?; - } - Ok(()) - } - _ => { - if contains_parameter(shape, &mut HashSet::new()) { - return Err(NamedParametersError::Container { - path: display_path(path), - ty: pointer_name(pointer_def.known), - }); - } - Ok(()) - } - }, - _ => Ok(()), - } +fn is_parameter_shape(shape: &'static Shape) -> bool { + lookup_registered_predict_accessor(shape).is_some() } -fn is_parameter_shape(shape: &'static Shape) -> bool { - // FIXME(dsrs-s2): Name-based leaf detection is intentionally temporary. - // Intended solution is shape-local accessor attr lookup (see links above). +fn is_predict_type_name(shape: &'static Shape) -> bool { + // Temporary diagnostic-only guard: we never use this for successful dispatch. + // Success requires a registered accessor; this path exists to fail loudly when + // a Predict-like leaf appears without registration. shape.type_identifier == "Predict" } -fn registered_accessor(shape: &'static Shape) -> Option { +fn lookup_registered_predict_accessor(shape: &'static Shape) -> Option { let registry = ACCESSOR_REGISTRY.get()?; let guard = registry.lock().ok()?; guard.get(&shape.id).copied() diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index e5d78d66..c88262af 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -1,9 +1,8 @@ use futures::stream::{self, StreamExt}; -use indexmap::IndexMap; use kdam::{BarExt, tqdm}; use tracing::debug; -use crate::{BamlType, Facet, PredictError, Predicted, core::MetaSignature}; +use crate::{BamlType, Facet, PredictError, Predicted}; #[allow(async_fn_in_trait)] pub trait Module: Send + Sync { @@ -77,16 +76,3 @@ where debug!(outcomes = outcomes.len(), "forward_all completed"); outcomes } - -#[allow(unused_variables)] -pub trait Optimizable { - fn get_signature(&self) -> &dyn MetaSignature { - todo!() - } - - fn parameters(&mut self) -> IndexMap; - - fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - todo!() - } -} diff --git a/crates/dspy-rs/src/core/program_graph.rs b/crates/dspy-rs/src/core/program_graph.rs index 33969fb3..f6c02365 100644 --- a/crates/dspy-rs/src/core/program_graph.rs +++ b/crates/dspy-rs/src/core/program_graph.rs @@ -1,11 +1,9 @@ use std::collections::{HashMap, VecDeque}; -use std::sync::{Mutex, OnceLock}; -use bamltype::facet_reflect::Peek; -use facet::{ConstTypeId, Facet, Shape}; +use facet::Facet; use indexmap::IndexMap; -use bamltype::baml_types::BamlMap; +use bamltype::baml_types::{BamlMap, LiteralValue, TypeValue}; use crate::core::{DynModule, PredictState, named_parameters, named_parameters_ref}; use crate::{BamlValue, PredictError, SignatureSchema, TypeIR}; @@ -54,12 +52,12 @@ pub struct Edge { pub to_field: String, } -#[derive(Debug, Clone, Copy, PartialEq, Eq)] +#[derive(Debug, Clone, PartialEq, Eq)] pub struct GraphEdgeAnnotation { - pub from_node: &'static str, - pub from_field: &'static str, - pub to_node: &'static str, - pub to_field: &'static str, + pub from_node: String, + pub from_field: String, + pub to_node: String, + pub to_field: String, } #[derive(Debug, thiserror::Error)] @@ -103,59 +101,117 @@ pub trait TypeIrAssignabilityExt { impl TypeIrAssignabilityExt for TypeIR { fn is_assignable_to(&self, to: &TypeIR) -> bool { - let from = normalize_type_repr(&self.diagnostic_repr().to_string()); - let to = normalize_type_repr(&to.diagnostic_repr().to_string()); + type_ir_is_assignable(self, to) + } +} - if from == to { - return true; - } +fn type_ir_is_assignable(from: &TypeIR, to: &TypeIR) -> bool { + if from == to { + return true; + } - if from == "null" && to.contains("null") { - return true; - } + if matches!(to, TypeIR::Top(_)) { + return true; + } - if to.contains(" or ") { - return to.split(" or ").any(|part| part.trim() == from); + match (from, to) { + (TypeIR::Literal(from_lit, _), TypeIR::Primitive(to_primitive, _)) => { + literal_is_assignable_to_primitive(from_lit, to_primitive) } - - false + (TypeIR::Union(from_union, _), _) => from_union + .iter_include_null() + .into_iter() + .all(|from_branch| type_ir_is_assignable(from_branch, to)), + (_, TypeIR::Union(to_union, _)) => to_union + .iter_include_null() + .into_iter() + .any(|to_branch| type_ir_is_assignable(from, to_branch)), + (TypeIR::List(from_inner, _), TypeIR::List(to_inner, _)) => { + type_ir_is_assignable(from_inner, to_inner) + } + (TypeIR::Map(from_key, from_value, _), TypeIR::Map(to_key, to_value, _)) => { + type_ir_is_assignable(from_key, to_key) && type_ir_is_assignable(from_value, to_value) + } + (TypeIR::Tuple(from_items, _), TypeIR::Tuple(to_items, _)) => { + from_items.len() == to_items.len() + && from_items + .iter() + .zip(to_items) + .all(|(from_item, to_item)| type_ir_is_assignable(from_item, to_item)) + } + ( + TypeIR::Class { + name: from_name, + dynamic: from_dynamic, + .. + }, + TypeIR::Class { + name: to_name, + dynamic: to_dynamic, + .. + }, + ) => from_name == to_name && from_dynamic == to_dynamic, + ( + TypeIR::Enum { + name: from_name, + dynamic: from_dynamic, + .. + }, + TypeIR::Enum { + name: to_name, + dynamic: to_dynamic, + .. + }, + ) => from_name == to_name && from_dynamic == to_dynamic, + ( + TypeIR::RecursiveTypeAlias { + name: from_name, + mode: from_mode, + .. + }, + TypeIR::RecursiveTypeAlias { + name: to_name, + mode: to_mode, + .. + }, + ) => from_name == to_name && from_mode == to_mode, + _ => false, } } -fn normalize_type_repr(raw: &str) -> String { - raw.replace('`', "") - .replace("class ", "") - .replace("enum ", "") - .replace(['(', ')'], "") - .trim() - .to_string() +fn literal_is_assignable_to_primitive(from: &LiteralValue, to: &TypeValue) -> bool { + matches!( + (from, to), + (LiteralValue::String(_), TypeValue::String) + | (LiteralValue::Int(_), TypeValue::Int) + | (LiteralValue::Bool(_), TypeValue::Bool) + ) } -static EDGE_ANNOTATIONS: OnceLock>> = - OnceLock::new(); +fn projection_mismatch(path: impl Into, reason: impl Into) -> GraphError { + GraphError::ProjectionMismatch { + path: path.into(), + reason: reason.into(), + } +} -pub fn register_graph_edge_annotations( - shape: &'static Shape, - annotations: &'static [GraphEdgeAnnotation], -) { - let store = EDGE_ANNOTATIONS.get_or_init(|| Mutex::new(HashMap::new())); - let mut guard = store - .lock() - .expect("graph annotation registry lock poisoned"); - guard.insert(shape.id, annotations); +fn missing_node(name: &str) -> GraphError { + GraphError::MissingNode { + name: name.to_string(), + } } -fn graph_edge_annotations(shape: &'static Shape) -> Vec { - let Some(store) = EDGE_ANNOTATIONS.get() else { - return Vec::new(); - }; - let guard = store - .lock() - .expect("graph annotation registry lock poisoned"); - guard - .get(&shape.id) - .map(|annotations| annotations.to_vec()) - .unwrap_or_default() +fn missing_field(node: &str, field: &str, side: &'static str) -> GraphError { + GraphError::MissingField { + node: node.to_string(), + field: field.to_string(), + side, + } +} + +fn sync_node_schema(node: &mut Node) { + // Keep schema/module in sync even when callers manually construct Node. + node.schema = node.module.schema().clone(); } impl ProgramGraph { @@ -188,8 +244,7 @@ impl ProgramGraph { return Err(GraphError::DuplicateNode { name }); } let mut node = node.into(); - // Keep schema/module in sync even when callers manually construct Node. - node.schema = node.module.schema().clone(); + sync_node_schema(&mut node); self.nodes.insert(name, node); Ok(()) } @@ -198,9 +253,7 @@ impl ProgramGraph { let removed = self .nodes .shift_remove(name) - .ok_or_else(|| GraphError::MissingNode { - name: name.to_string(), - })?; + .ok_or_else(|| missing_node(name))?; self.edges .retain(|edge| edge.from_node != name && edge.to_node != name); Ok(removed) @@ -225,13 +278,10 @@ impl ProgramGraph { pub fn replace_node(&mut self, name: &str, node: impl Into) -> Result<(), GraphError> { if !self.nodes.contains_key(name) { - return Err(GraphError::MissingNode { - name: name.to_string(), - }); + return Err(missing_node(name)); } let mut node = node.into(); - // Keep schema/module in sync even when callers manually construct Node. - node.schema = node.module.schema().clone(); + sync_node_schema(&mut node); let incident = self .edges @@ -285,28 +335,26 @@ impl ProgramGraph { && edge.from_field == from_field && edge.to_field == to_field }) - .ok_or_else(|| GraphError::ProjectionMismatch { - path: format!("{from}.{from_field}->{to}.{to_field}"), - reason: "edge not found for insert_between".to_string(), + .ok_or_else(|| { + projection_mismatch( + format!("{from}.{from_field}->{to}.{to_field}"), + "edge not found for insert_between", + ) })?; let inserted_input = inserted_node .schema .input_fields() .first() - .ok_or_else(|| GraphError::ProjectionMismatch { - path: inserted_name.clone(), - reason: "inserted node has no input fields".to_string(), - })? + .ok_or_else(|| projection_mismatch(inserted_name.clone(), "inserted node has no input fields"))? .rust_name .clone(); let inserted_output = inserted_node .schema .output_fields() .first() - .ok_or_else(|| GraphError::ProjectionMismatch { - path: inserted_name.clone(), - reason: "inserted node has no output fields".to_string(), + .ok_or_else(|| { + projection_mismatch(inserted_name.clone(), "inserted node has no output fields") })? .rust_name .clone(); @@ -354,9 +402,7 @@ impl ProgramGraph { let node = self .nodes .get(node_name) - .ok_or_else(|| GraphError::MissingNode { - name: node_name.clone(), - })?; + .ok_or_else(|| missing_node(node_name))?; let incoming = self .edges @@ -372,54 +418,40 @@ impl ProgramGraph { for edge in incoming { if edge.from_node == INPUT_NODE { let value = navigate_runtime_path(&input, &edge.from_field) - .ok_or_else(|| GraphError::ProjectionMismatch { - path: format!("{INPUT_NODE}.{}", edge.from_field), - reason: "source value missing".to_string(), + .ok_or_else(|| { + projection_mismatch( + format!("{INPUT_NODE}.{}", edge.from_field), + "source value missing", + ) })?; let to_schema = find_input_field(&node.schema, &edge.to_field) - .ok_or_else(|| GraphError::MissingField { - node: edge.to_node.clone(), - field: edge.to_field.clone(), - side: "input", - })?; + .ok_or_else(|| missing_field(&edge.to_node, &edge.to_field, "input"))?; insert_baml_at_path(&mut map, to_schema.path(), value.clone()); continue; } - let upstream = outputs.get(&edge.from_node).ok_or_else(|| { - GraphError::ProjectionMismatch { - path: format!("{}", edge.from_node), - reason: "missing upstream output".to_string(), - } - })?; - let from_node = self.nodes.get(&edge.from_node).ok_or_else(|| { - GraphError::MissingNode { - name: edge.from_node.clone(), - } - })?; + let upstream = outputs + .get(&edge.from_node) + .ok_or_else(|| projection_mismatch(&edge.from_node, "missing upstream output"))?; + let from_node = self + .nodes + .get(&edge.from_node) + .ok_or_else(|| missing_node(&edge.from_node))?; let from_schema = find_output_field(&from_node.schema, &edge.from_field) - .ok_or_else(|| GraphError::MissingField { - node: edge.from_node.clone(), - field: edge.from_field.clone(), - side: "output", - })?; + .ok_or_else(|| missing_field(&edge.from_node, &edge.from_field, "output"))?; let value = from_node .schema .navigate_field(from_schema.path(), upstream) - .ok_or_else(|| GraphError::ProjectionMismatch { - path: format!("{}.{}", edge.from_node, edge.from_field), - reason: "source value missing".to_string(), + .ok_or_else(|| { + projection_mismatch( + format!("{}.{}", edge.from_node, edge.from_field), + "source value missing", + ) })? .clone(); - let to_schema = - find_input_field(&node.schema, &edge.to_field).ok_or_else(|| { - GraphError::MissingField { - node: edge.to_node.clone(), - field: edge.to_field.clone(), - side: "input", - } - })?; + let to_schema = find_input_field(&node.schema, &edge.to_field) + .ok_or_else(|| missing_field(&edge.to_node, &edge.to_field, "input"))?; insert_baml_at_path(&mut map, to_schema.path(), value); } @@ -442,10 +474,7 @@ impl ProgramGraph { 0 => Err(GraphError::NoSink), 1 => outputs .remove(&sinks[0]) - .ok_or_else(|| GraphError::ProjectionMismatch { - path: sinks[0].clone(), - reason: "sink output missing".to_string(), - }), + .ok_or_else(|| projection_mismatch(sinks[0].clone(), "sink output missing")), _ => Err(GraphError::AmbiguousSink { sinks }), } } @@ -454,45 +483,42 @@ impl ProgramGraph { where M: for<'a> Facet<'a>, { - let shape = Peek::new(module).shape(); - let mut graph = ProgramGraph::new(); + Self::from_module_with_annotations(module, &[]) + } + pub fn from_module_with_annotations( + module: &M, + annotations: &[GraphEdgeAnnotation], + ) -> Result + where + M: for<'a> Facet<'a>, + { + let mut graph = ProgramGraph::new(); let predictors = - named_parameters_ref(module).map_err(|err| GraphError::ProjectionMismatch { - path: "".to_string(), - reason: err.to_string(), - })?; + named_parameters_ref(module).map_err(|err| projection_mismatch("", err.to_string()))?; for (path, predictor) in predictors { - let schema = predictor.schema().clone(); let state = predictor.dump_state(); let mut dyn_module: Box = - Box::new(crate::core::PredictDynModule::new(schema.clone())); + Box::new(crate::core::PredictDynModule::new(predictor.schema().clone())); let leaves = dyn_module.predictors_mut(); let Some((_, dyn_predictor)) = leaves.into_iter().next() else { - return Err(GraphError::ProjectionMismatch { - path, - reason: "dynamic module has no predictor leaves".to_string(), - }); + return Err(projection_mismatch(path, "dynamic module has no predictor leaves")); }; dyn_predictor .load_state(state) - .map_err(|err| GraphError::ProjectionMismatch { - path: path.clone(), - reason: err.to_string(), - })?; + .map_err(|err| projection_mismatch(path.clone(), err.to_string()))?; graph.add_node(path, dyn_module)?; } - let annotations = graph_edge_annotations(shape); for annotation in annotations { graph.connect( - annotation.from_node, - annotation.from_field, - annotation.to_node, - annotation.to_field, + &annotation.from_node, + &annotation.from_field, + &annotation.to_node, + &annotation.to_field, )?; } @@ -500,10 +526,10 @@ impl ProgramGraph { graph.infer_edges_by_schema_order()?; } if graph.nodes.len() > 1 && graph.edges.is_empty() { - return Err(GraphError::ProjectionMismatch { - path: "".to_string(), - reason: "projection produced multiple nodes with no resolvable edges".to_string(), - }); + return Err(projection_mismatch( + "", + "projection produced multiple nodes with no resolvable edges", + )); } Ok(graph) @@ -514,10 +540,7 @@ impl ProgramGraph { M: for<'a> Facet<'a>, { let mut destination = - named_parameters(module).map_err(|err| GraphError::ProjectionMismatch { - path: "".to_string(), - reason: err.to_string(), - })?; + named_parameters(module).map_err(|err| projection_mismatch("", err.to_string()))?; for (node_name, node) in &self.nodes { let mut node_predictors = node.module.predictors(); @@ -528,17 +551,14 @@ impl ProgramGraph { let Some((_, target)) = destination.iter_mut().find(|(path, _)| path == node_name) else { - return Err(GraphError::ProjectionMismatch { - path: node_name.clone(), - reason: "graph node has no matching typed predictor path".to_string(), - }); + return Err(projection_mismatch( + node_name.clone(), + "graph node has no matching typed predictor path", + )); }; target .load_state(state) - .map_err(|err| GraphError::ProjectionMismatch { - path: node_name.clone(), - reason: err.to_string(), - })?; + .map_err(|err| projection_mismatch(node_name.clone(), err.to_string()))?; } Ok(()) @@ -605,42 +625,26 @@ impl ProgramGraph { to: &str, to_field: &str, ) -> Result<(), GraphError> { - let to_node = self.nodes.get(to).ok_or_else(|| GraphError::MissingNode { - name: to.to_string(), - })?; - - let to_schema = find_input_field(&to_node.schema, to_field).ok_or_else(|| { - GraphError::MissingField { - node: to.to_string(), - field: to_field.to_string(), - side: "input", - } - })?; + let to_node = self.nodes.get(to).ok_or_else(|| missing_node(to))?; + let to_schema = find_input_field(&to_node.schema, to_field) + .ok_or_else(|| missing_field(to, to_field, "input"))?; if from == INPUT_NODE { if from_field.trim().is_empty() { - return Err(GraphError::ProjectionMismatch { - path: format!("{INPUT_NODE}.{from_field}"), - reason: "input edge field cannot be empty".to_string(), - }); + return Err(projection_mismatch( + format!("{INPUT_NODE}.{from_field}"), + "input edge field cannot be empty", + )); } - let _ = to_schema; return Ok(()); } let from_node = self .nodes .get(from) - .ok_or_else(|| GraphError::MissingNode { - name: from.to_string(), - })?; - let from_schema = find_output_field(&from_node.schema, from_field).ok_or_else(|| { - GraphError::MissingField { - node: from.to_string(), - field: from_field.to_string(), - side: "output", - } - })?; + .ok_or_else(|| missing_node(from))?; + let from_schema = find_output_field(&from_node.schema, from_field) + .ok_or_else(|| missing_field(from, from_field, "output"))?; if !from_schema.type_ir.is_assignable_to(&to_schema.type_ir) { return Err(GraphError::TypeMismatch { @@ -664,21 +668,15 @@ impl ProgramGraph { for edge in &self.edges { if edge.from_node == INPUT_NODE { if !self.nodes.contains_key(&edge.to_node) { - return Err(GraphError::MissingNode { - name: edge.to_node.clone(), - }); + return Err(missing_node(&edge.to_node)); } continue; } if !self.nodes.contains_key(&edge.from_node) { - return Err(GraphError::MissingNode { - name: edge.from_node.clone(), - }); + return Err(missing_node(&edge.from_node)); } if !self.nodes.contains_key(&edge.to_node) { - return Err(GraphError::MissingNode { - name: edge.to_node.clone(), - }); + return Err(missing_node(&edge.to_node)); } *indegree .get_mut(edge.to_node.as_str()) diff --git a/crates/dspy-rs/src/core/signature.rs b/crates/dspy-rs/src/core/signature.rs index 663e4b5b..ae255268 100644 --- a/crates/dspy-rs/src/core/signature.rs +++ b/crates/dspy-rs/src/core/signature.rs @@ -1,9 +1,7 @@ -use anyhow::Result; use bamltype::Shape; use facet::Facet; -use serde_json::Value; -use crate::{BamlType, Example, OutputFormatContent}; +use crate::{BamlType, OutputFormatContent}; use super::{FieldMetadataSpec, SignatureSchema}; @@ -20,17 +18,6 @@ pub enum ConstraintKind { Assert, } -pub trait MetaSignature: Send + Sync { - fn demos(&self) -> Vec; - fn set_demos(&mut self, demos: Vec) -> Result<()>; - fn instruction(&self) -> String; - fn input_fields(&self) -> Value; - fn output_fields(&self) -> Value; - - fn update_instruction(&mut self, instruction: String) -> Result<()>; - fn append(&mut self, name: &str, value: Value) -> Result<()>; -} - pub trait Signature: Send + Sync + 'static { type Input: BamlType + for<'a> Facet<'a> + Send + Sync; type Output: BamlType + for<'a> Facet<'a> + Send + Sync; diff --git a/crates/dspy-rs/src/evaluate/evaluator.rs b/crates/dspy-rs/src/evaluate/evaluator.rs index 383e2f4b..74fa7ac6 100644 --- a/crates/dspy-rs/src/evaluate/evaluator.rs +++ b/crates/dspy-rs/src/evaluate/evaluator.rs @@ -1,62 +1,105 @@ -use crate::core::{Module, forward_all_with_progress}; -use crate::data::{example::Example, prediction::Prediction}; -use futures::stream::{self, StreamExt}; -use tracing::{debug, warn}; +use anyhow::{Result, anyhow}; +use bamltype::baml_types::BamlMap; + +use crate::core::Module; +use crate::data::example::Example; +use crate::{BamlType, BamlValue, Predicted}; + +use super::FeedbackMetric; + +#[derive(Debug, Clone, PartialEq)] +pub struct MetricOutcome { + pub score: f32, + pub feedback: Option, +} + +impl MetricOutcome { + pub fn score(score: f32) -> Self { + Self { + score, + feedback: None, + } + } + + pub fn with_feedback(score: f32, feedback: FeedbackMetric) -> Self { + Self { + score, + feedback: Some(feedback), + } + } +} #[allow(async_fn_in_trait)] -pub trait Evaluator: Module { - const MAX_CONCURRENCY: usize = 32; - const DISPLAY_PROGRESS: bool = true; - - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32; - - #[tracing::instrument( - name = "dsrs.evaluate", - level = "debug", - skip(self, examples), - fields( - examples = examples.len(), - max_concurrency = Self::MAX_CONCURRENCY, - display_progress = Self::DISPLAY_PROGRESS - ) - )] - async fn evaluate(&self, examples: Vec) -> f32 { - let outcomes = forward_all_with_progress( - self, - examples.clone(), - Self::MAX_CONCURRENCY, - Self::DISPLAY_PROGRESS, - ) - .await; - let mut predictions = Vec::with_capacity(outcomes.len()); - for (idx, outcome) in outcomes.into_iter().enumerate() { - match outcome { - Ok(prediction) => predictions.push(prediction.into_inner()), - Err(err) => { - warn!(idx, error = %err, "evaluation failed while generating predictions"); - panic!("evaluation failed: {err}"); - } - } +pub trait TypedMetric: Send + Sync { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result; +} + +fn baml_map_from_example_keys(example: &Example, keys: &[String]) -> Result> { + let mut map = BamlMap::new(); + for key in keys { + if let Some(value) = example.data.get(key) { + let baml_value = + BamlValue::try_from(value.clone()).map_err(|err| anyhow!("{err}"))?; + map.insert(key.clone(), baml_value); } + } + Ok(map) +} - let total = examples.len(); - - // Pair examples with predictions and evaluate with controlled concurrency - let metrics: Vec = stream::iter(examples.iter().zip(predictions.iter()).enumerate()) - .map(|(idx, (example, prediction))| { - let prediction = prediction.clone(); - async move { - let score = self.metric(example, &prediction).await; - debug!(idx, score, "evaluation metric computed"); - score - } - }) - .buffer_unordered(Self::MAX_CONCURRENCY) - .collect() - .await; - - let average_score = metrics.iter().sum::() / total as f32; - debug!(average_score, "evaluation complete"); - average_score +pub fn input_keys_from_example(example: &Example) -> Vec { + if !example.input_keys.is_empty() { + return example.input_keys.clone(); } + + if !example.output_keys.is_empty() { + return example + .data + .keys() + .filter(|key| !example.output_keys.contains(*key)) + .cloned() + .collect(); + } + + example.data.keys().cloned().collect() +} + +pub fn input_from_example(example: &Example) -> Result +where + I: BamlType, +{ + let keys = input_keys_from_example(example); + let map = baml_map_from_example_keys(example, &keys)?; + I::try_from_baml_value(BamlValue::Map(map)).map_err(|err| anyhow!("{err}")) +} + +pub async fn evaluate_trainset( + module: &M, + trainset: &[Example], + metric: &MT, +) -> Result> +where + M: Module, + MT: TypedMetric, +{ + let mut outcomes = Vec::with_capacity(trainset.len()); + + for example in trainset { + let input = input_from_example::(example)?; + let predicted = module.call(input).await.map_err(|err| anyhow!("{err}"))?; + outcomes.push(metric.evaluate(example, &predicted).await?); + } + + Ok(outcomes) +} + +pub fn average_score(outcomes: &[MetricOutcome]) -> f32 { + if outcomes.is_empty() { + return 0.0; + } + + outcomes.iter().map(|o| o.score).sum::() / outcomes.len() as f32 } diff --git a/crates/dspy-rs/src/evaluate/feedback.rs b/crates/dspy-rs/src/evaluate/feedback.rs index 28702bb9..20a182c9 100644 --- a/crates/dspy-rs/src/evaluate/feedback.rs +++ b/crates/dspy-rs/src/evaluate/feedback.rs @@ -1,40 +1,21 @@ -use crate::{Example, Prediction}; +use crate::{BamlValue, Example}; use serde::{Deserialize, Serialize}; -/// Feedback-based evaluation for GEPA optimizer -/// -/// This module provides structures and traits for rich, textual feedback -/// that guides the GEPA optimization process. use std::collections::HashMap; -/// Rich evaluation metric with both score and textual feedback -/// -/// GEPA uses this to understand *why* a score was assigned, enabling -/// more targeted prompt improvements. -#[derive(Debug, Clone, Serialize, Deserialize)] +/// Rich evaluation metric with both score and textual feedback. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] pub struct FeedbackMetric { /// Numerical score (typically 0.0 to 1.0, but can be any range) pub score: f32, - /// Rich textual feedback explaining the score - /// - /// Examples: - /// - "✓ Retrieved 3/3 correct documents" - /// - "✗ Code failed to compile: missing semicolon on line 5" - /// - "Partially correct: got answer '42' but expected '42.0'" + /// Rich textual feedback explaining the score. pub feedback: String, - /// Optional structured metadata for additional context - /// - /// Can include: - /// - Intermediate outputs from pipeline stages - /// - Error messages and stack traces - /// - Performance metrics (latency, tokens, cost) - /// - Domain-specific diagnostics + /// Optional structured metadata for additional context. pub metadata: HashMap, } impl FeedbackMetric { - /// Create a new feedback metric pub fn new(score: f32, feedback: impl Into) -> Self { Self { score, @@ -43,7 +24,6 @@ impl FeedbackMetric { } } - /// Create a feedback metric with metadata pub fn with_metadata( score: f32, feedback: impl Into, @@ -56,7 +36,6 @@ impl FeedbackMetric { } } - /// Add metadata to an existing feedback metric pub fn add_metadata(mut self, key: impl Into, value: serde_json::Value) -> Self { self.metadata.insert(key.into(), value); self @@ -73,55 +52,19 @@ impl Default for FeedbackMetric { } } -/// Trait for evaluators that provide rich feedback -/// -/// This extends the basic Evaluator trait to return feedback alongside scores. -#[allow(async_fn_in_trait)] -pub trait FeedbackEvaluator { - /// Evaluate an example and return both score and feedback - async fn feedback_metric(&self, example: &Example, prediction: &Prediction) -> FeedbackMetric; - - /// Evaluate with multiple objectives (for multi-objective optimization) - async fn multi_objective_metric( - &self, - example: &Example, - prediction: &Prediction, - ) -> Vec { - // Default: single objective - vec![self.feedback_metric(example, prediction).await] - } -} - -/// Execution trace capturing program behavior -/// -/// Captures the full execution path of a module, including intermediate -/// steps, errors, and environmental feedback. +/// Execution trace capturing program behavior during evaluation/optimization. #[derive(Debug, Clone, Serialize, Deserialize)] pub struct ExecutionTrace { - /// Input example pub inputs: Example, - - /// Final prediction (if successful) - pub outputs: Option, - - /// Evaluation feedback + pub outputs: Option, pub feedback: Option, - - /// Intermediate steps in the execution - /// - /// Each entry is (step_name, step_output) pub intermediate_steps: Vec<(String, serde_json::Value)>, - - /// Errors encountered during execution pub errors: Vec, - - /// Execution metadata (timing, cost, etc.) pub metadata: HashMap, } impl ExecutionTrace { - /// Create a simple trace with just inputs and outputs - pub fn simple(inputs: Example, outputs: Prediction) -> Self { + pub fn simple(inputs: Example, outputs: BamlValue) -> Self { Self { inputs, outputs: Some(outputs), @@ -132,36 +75,29 @@ impl ExecutionTrace { } } - /// Create a new trace builder pub fn builder(inputs: Example) -> ExecutionTraceBuilder { ExecutionTraceBuilder::new(inputs) } - /// Add feedback to the trace pub fn with_feedback(mut self, feedback: FeedbackMetric) -> Self { self.feedback = Some(feedback); self } - /// Check if execution was successful pub fn is_successful(&self) -> bool { self.outputs.is_some() && self.errors.is_empty() } - /// Get score if available pub fn score(&self) -> Option { self.feedback.as_ref().map(|f| f.score) } - /// Format trace for LLM reflection pub fn format_for_reflection(&self) -> String { let mut result = String::new(); - // Input result.push_str("Input:\n"); result.push_str(&format!("{:?}\n\n", self.inputs)); - // Intermediate steps if !self.intermediate_steps.is_empty() { result.push_str("Execution Steps:\n"); for (i, (step_name, output)) in self.intermediate_steps.iter().enumerate() { @@ -170,13 +106,11 @@ impl ExecutionTrace { result.push('\n'); } - // Output if let Some(ref outputs) = self.outputs { result.push_str("Output:\n"); result.push_str(&format!("{:?}\n\n", outputs)); } - // Errors if !self.errors.is_empty() { result.push_str("Errors:\n"); for error in &self.errors { @@ -185,7 +119,6 @@ impl ExecutionTrace { result.push('\n'); } - // Feedback if let Some(ref feedback) = self.feedback { result.push_str("Evaluation:\n"); result.push_str(&format!("Score: {:.3}\n", feedback.score)); @@ -196,7 +129,6 @@ impl ExecutionTrace { } } -/// Builder for ExecutionTrace pub struct ExecutionTraceBuilder { trace: ExecutionTrace, } @@ -215,7 +147,7 @@ impl ExecutionTraceBuilder { } } - pub fn outputs(mut self, outputs: Prediction) -> Self { + pub fn outputs(mut self, outputs: BamlValue) -> Self { self.trace.outputs = Some(outputs); self } @@ -261,48 +193,29 @@ mod tests { #[test] fn test_feedback_metric_with_metadata() { let mut meta = HashMap::new(); - meta.insert("latency_ms".to_string(), json!(150)); - - let feedback = FeedbackMetric::with_metadata(0.9, "Excellent", meta); + meta.insert("tokens".to_string(), json!(120)); + let feedback = FeedbackMetric::with_metadata(0.9, "Great", meta.clone()); assert_eq!(feedback.score, 0.9); - assert_eq!(feedback.metadata.get("latency_ms").unwrap(), &json!(150)); + assert_eq!(feedback.feedback, "Great"); + assert_eq!(feedback.metadata, meta); } #[test] fn test_execution_trace_builder() { - use std::collections::HashMap; - let mut input_data = HashMap::new(); - input_data.insert("question".to_string(), json!("What is 2+2?")); - let inputs = crate::Example::new(input_data, vec!["question".to_string()], vec![]); - - let mut pred_data = HashMap::new(); - pred_data.insert("answer".to_string(), json!("4")); - let prediction = crate::Prediction::new(pred_data, crate::LmUsage::default()); + let inputs = Example::new( + [("question".to_string(), json!("What is 2+2?"))].into(), + vec!["question".to_string()], + vec![], + ); let trace = ExecutionTrace::builder(inputs) - .add_step("parse", json!("2+2")) - .add_step("compute", json!(4)) - .outputs(prediction) + .outputs(BamlValue::String("4".to_string())) .feedback(FeedbackMetric::new(1.0, "Correct")) + .add_step("model_call", json!({"latency_ms": 42})) .build(); assert!(trace.is_successful()); assert_eq!(trace.score(), Some(1.0)); - assert_eq!(trace.intermediate_steps.len(), 2); - } - - #[test] - fn test_trace_with_errors() { - use std::collections::HashMap; - let mut input_data = HashMap::new(); - input_data.insert("question".to_string(), json!("Invalid")); - let inputs = crate::Example::new(input_data, vec!["question".to_string()], vec![]); - - let trace = ExecutionTrace::builder(inputs) - .add_error("Parse failed") - .build(); - - assert!(!trace.is_successful()); - assert_eq!(trace.errors.len(), 1); + assert_eq!(trace.intermediate_steps.len(), 1); } } diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index 25f2c505..ff4212ac 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -42,99 +42,6 @@ pub mod __macro_support { pub use serde_json; } -#[deprecated( - since = "0.2.0", - note = "Use typed input structs instead, e.g., QAInput { question: ... }" -)] -#[macro_export] -macro_rules! example { - // Pattern: { "key": <__dsrs_field_type>: "value", ... } - { $($key:literal : $field_type:literal => $value:expr),* $(,)? } => {{ - use std::collections::HashMap; - use $crate::data::example::Example; - use $crate::trace::{NodeType, record_node}; - - let mut input_keys = vec![]; - let mut output_keys = vec![]; - let mut fields = HashMap::new(); - let mut mappings = vec![]; - let mut parent_ids = vec![]; - - $( - if $field_type == "input" { - input_keys.push($key.to_string()); - } else { - output_keys.push($key.to_string()); - } - - let tracked = { - use $crate::trace::IntoTracked; - $value.into_tracked() - }; - - fields.insert($key.to_string(), tracked.value); - - if let Some((node_id, source_key)) = tracked.source { - mappings.push(($key.to_string(), (node_id, source_key))); - if !parent_ids.contains(&node_id) { - parent_ids.push(node_id); - } - } - )* - - let mut example = Example::new( - fields, - input_keys, - output_keys, - ); - - // If we found mappings and we are tracing, record a Map node - if !mappings.is_empty() { - if let Some(map_node_id) = record_node( - NodeType::Map { mapping: mappings }, - parent_ids, - None - ) { - example.node_id = Some(map_node_id); - } - } - - example - }}; - - // Pattern without field type (defaulting to input usually? or implicit?) - // The previous macro definition had a second pattern which was slightly different. - // Wait, the original macro only had the first pattern for `example!`. - // The `prediction!` macro was separate. - - // Original pattern from lib.rs:22 - // { $($key:literal : $field_type:literal => $value:expr),* $(,)? } - - // Wait, I should also support the simpler syntax if user uses it, but looking at lib.rs, `example!` only has one pattern. -} - -#[deprecated( - since = "0.2.0", - note = "Predict::call() returns typed S output directly" -)] -#[macro_export] -macro_rules! prediction { - { $($key:literal => $value:expr),* $(,)? } => {{ - use std::collections::HashMap; - use $crate::{Prediction, LmUsage}; - - let mut fields = HashMap::new(); - $( - fields.insert( - $key.to_string(), - $crate::__macro_support::serde_json::to_value($value).unwrap() - ); - )* - - Prediction::new(fields, LmUsage::default()) - }}; -} - #[macro_export] macro_rules! field { // Example Usage: field! { diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index b89954a8..1c0de57c 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -1,10 +1,8 @@ -use indexmap::IndexMap; - use crate::Augmentation; use crate::augmentation::Augmented; -use crate::core::{MetaSignature, Module, Optimizable, Signature}; +use crate::core::{Module, Signature}; use crate::predictors::{Demo, Predict, PredictBuilder}; -use crate::{BamlType, Example, PredictError, Predicted}; +use crate::{BamlType, PredictError, Predicted}; #[derive(Augmentation, Clone, Debug)] #[augment(output, prepend)] @@ -76,65 +74,6 @@ where } } -impl MetaSignature for ChainOfThought -where - S: Signature + Clone, - S::Input: BamlType, - S::Output: BamlType, -{ - fn demos(&self) -> Vec { - self.predictor.demos() - } - - fn set_demos(&mut self, demos: Vec) -> anyhow::Result<()> { - self.predictor.set_demos(demos) - } - - fn instruction(&self) -> String { - self.predictor.instruction() - } - - fn input_fields(&self) -> serde_json::Value { - self.predictor.input_fields() - } - - fn output_fields(&self) -> serde_json::Value { - self.predictor.output_fields() - } - - fn update_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - self.predictor.update_instruction(instruction) - } - - fn append(&mut self, name: &str, value: serde_json::Value) -> anyhow::Result<()> { - self.predictor.append(name, value) - } -} - -impl Optimizable for ChainOfThought -where - S: Signature + Clone, - S::Input: BamlType, - S::Output: BamlType, -{ - fn get_signature(&self) -> &dyn MetaSignature { - self - } - - fn parameters(&mut self) -> IndexMap { - let mut parameters = IndexMap::new(); - parameters.insert( - "predictor".to_string(), - &mut self.predictor as &mut dyn Optimizable, - ); - parameters - } - - fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - self.predictor.update_signature_instruction(instruction) - } -} - pub struct ChainOfThoughtBuilder { inner: PredictBuilder>, } diff --git a/crates/dspy-rs/src/optimizer/copro.rs b/crates/dspy-rs/src/optimizer/copro.rs index 7e3c66cc..890bda9a 100644 --- a/crates/dspy-rs/src/optimizer/copro.rs +++ b/crates/dspy-rs/src/optimizer/copro.rs @@ -1,54 +1,12 @@ -#![allow(deprecated)] - -use crate::{ - Evaluator, Example, Facet, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, - core::{DynPredictor, named_parameters}, - example, get_lm, -}; -use anyhow::Result; +use anyhow::{Result, anyhow}; use bon::Builder; -use dsrs_macros::LegacySignature; -use futures::future::join_all; -use std::sync::Arc; -use std::{collections::HashMap, future::Future, pin::Pin, sync::LazyLock}; - -#[LegacySignature] -struct BasicGenerateInstruction { - /// You are an instruction optimizer for large language models. I will give you a ``signature`` of fields (inputs and outputs) in English. Your task is to propose an instruction that will lead a good language model to perform the task well. Don't be afraid to be creative. - - #[input(desc = "The initial instructions before optimization")] - pub basic_instruction: String, - #[output(desc = "The improved instructions for the language model")] - pub proposed_instruction: String, -} - -#[LegacySignature] -struct GenerateInstructionGivenAttempts { - /// You are an instruction optimizer for large language models. I will give some task instructions I've tried, along with their corresponding validation scores. The instructions are arranged in increasing order based on their scores, where higher scores indicate better quality. - /// - /// Your task is to propose a new instruction that will lead a good language model to perform the task even better. Don't be afraid to be creative. - #[input( - desc = "The instructions I've tried, along with their corresponding validation scores" - )] - pub attempted_instructions: Vec, - #[output(desc = "The improved instructions for the language model")] - pub proposed_instruction: String, -} - -#[derive(Clone)] -struct Candidate { - pub score: f32, - pub instruction: String, - pub prefix: String, -} - -#[derive(Clone)] -struct ProgramStats { - pub results_best: HashMap>, - pub results_latest: HashMap>, - pub total_calls: usize, -} +use crate::core::DynPredictor; +use crate::evaluate::{TypedMetric, average_score}; +use crate::optimizer::{ + Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, +}; +use crate::{Example, Facet, Module}; #[derive(Builder)] pub struct COPRO { @@ -60,426 +18,118 @@ pub struct COPRO { pub init_temperature: f32, #[builder(default = false)] pub track_stats: bool, - pub prompt_model: Option, + pub prompt_model: Option, } -static BASIC_GENERATOR: LazyLock = - LazyLock::new(|| LegacyPredict::new(BasicGenerateInstruction::new())); -static REFINEMENT_GENERATOR: LazyLock = - LazyLock::new(|| LegacyPredict::new(GenerateInstructionGivenAttempts::new())); - impl COPRO { - fn get_output_field_prefix(&self, predictor: &dyn DynPredictor) -> String { - predictor + fn current_instruction(module: &mut M, predictor_name: &str) -> Result + where + M: for<'a> Facet<'a>, + { + with_named_predictor(module, predictor_name, |predictor| Ok(predictor.instruction())) + } + + fn set_instruction(module: &mut M, predictor_name: &str, instruction: String) -> Result<()> + where + M: for<'a> Facet<'a>, + { + with_named_predictor(module, predictor_name, |predictor| { + predictor.set_instruction(instruction); + Ok(()) + }) + } + + async fn score_candidate( + &self, + module: &mut M, + predictor_name: &str, + candidate_instruction: &str, + trainset: &[Example], + metric: &MT, + ) -> Result + where + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, + { + Self::set_instruction(module, predictor_name, candidate_instruction.to_string())?; + let outcomes = evaluate_module_with_metric(&*module, trainset, metric).await?; + Ok(average_score(&outcomes)) + } + + fn candidate_instructions( + &self, + base_instruction: &str, + predictor: &dyn DynPredictor, + depth: usize, + ) -> Vec { + let mut candidates = Vec::with_capacity(self.breadth.max(1)); + candidates.push(base_instruction.to_string()); + + let output_hint = predictor .schema() .output_fields() .last() - .map(|field| field.docs.to_string()) - .unwrap_or_default() + .map(|field| field.lm_name) + .unwrap_or("output"); + + for idx in 0..self.breadth.saturating_sub(1) { + candidates.push(format!( + "{base_instruction}\n\nOptimization hint (d{} c{}): Be explicit and concise for `{}`.", + depth + 1, + idx + 1, + output_hint, + )); + } + + candidates } } impl Optimizer for COPRO { - async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> + type Report = (); + + async fn compile( + &self, + module: &mut M, + trainset: Vec, + metric: &MT, + ) -> Result where - M: Module + Evaluator + for<'a> Facet<'a>, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { if self.breadth <= 1 { - return Err(anyhow::anyhow!("Breadth must be greater than 1")); + return Err(anyhow!("breadth must be greater than 1")); } - // Collect predictor information first - let predictor_info: Vec<(String, String, String)> = { - let mut named_predictors = named_parameters(module)?; - named_predictors - .iter_mut() - .map(|(name, predictor)| { - let basic_instruction = predictor.instruction(); - let basic_prefix = self.get_output_field_prefix(*predictor); - (name.clone(), basic_instruction, basic_prefix) - }) - .collect() - }; + let predictor_names = predictor_names(module)?; - let mut all_candidates: HashMap> = HashMap::new(); - let mut latest_candidates: HashMap> = HashMap::new(); - let mut evaluated_candidates: HashMap> = - HashMap::new(); - - let mut stats = ProgramStats { - results_best: HashMap::new(), - results_latest: HashMap::new(), - total_calls: 0, - }; - - // Seed with initial instructions - generate breadth-1 new + 1 original - for (predictor_name, basic_instruction, basic_prefix) in &predictor_info { - let mut candidates = Vec::new(); - - // Generate new candidates - if self.breadth > 1 { - let mut futures: Vec> + Send>>> = - Vec::new(); - - for _ in 0..self.breadth - 1 { - let inst = basic_instruction.clone(); - if let Some(mut prompt_model) = self.prompt_model.clone() { - prompt_model.temperature = self.init_temperature; - futures.push(Box::pin(async move { - BASIC_GENERATOR - .forward_with_config( - example! { - "basic_instruction": "input" => inst - }, - Arc::new(prompt_model), - ) - .await - })); - } else { - futures.push(Box::pin(async move { - BASIC_GENERATOR - .forward_with_config( - example! { - "basic_instruction": "input" => inst - }, - Arc::clone(&get_lm()), - ) - .await - })); - } - } - - let results = join_all(futures).await; - let predictions = results.into_iter().collect::>>()?; - - for pred in predictions { - let instruction = pred - .data - .get("proposed_instruction") - .and_then(|v| v.as_str()) - .unwrap_or(basic_instruction) - .to_string(); - let prefix = pred - .data - .get("proposed_prefix_for_output_field") - .and_then(|v| v.as_str()) - .unwrap_or(basic_prefix) - .to_string(); - candidates.push((instruction, prefix)); - } - } - - candidates.push((basic_instruction.clone(), basic_prefix.clone())); - - all_candidates.insert(predictor_name.clone(), candidates.clone()); - latest_candidates.insert(predictor_name.clone(), candidates); - evaluated_candidates.insert(predictor_name.clone(), HashMap::new()); - - if self.track_stats { - stats - .results_best - .insert(predictor_name.clone(), Vec::new()); - stats - .results_latest - .insert(predictor_name.clone(), Vec::new()); - } + if predictor_names.is_empty() { + return Err(anyhow!("no optimizable predictors found")); } - // Main optimization loop - for d in 0..self.depth { - println!("Iteration Depth: {}/{}", d + 1, self.depth); - - // Evaluate candidates for each predictor - for (p_i, (predictor_name, _, _)) in predictor_info.iter().enumerate() { - // Determine which candidates to evaluate - let candidates_to_eval = if predictor_info.len() > 1 { - // Re-evaluate all candidates when multiple predictors - all_candidates.get(predictor_name).unwrap().clone() - } else { - // Just evaluate latest candidates - latest_candidates.get(predictor_name).unwrap().clone() - }; + for depth in 0..self.depth { + for predictor_name in &predictor_names { + let base_instruction = Self::current_instruction(module, predictor_name)?; - let mut latest_scores = Vec::new(); + let candidates = with_named_predictor(module, predictor_name, |predictor| { + Ok(self.candidate_instructions(&base_instruction, predictor, depth)) + })?; - for (c_i, (instruction, prefix)) in candidates_to_eval.iter().enumerate() { - // Check if already evaluated - let key = (instruction.clone(), prefix.clone()); + let mut best_instruction = base_instruction.clone(); + let mut best_score = f32::MIN; - let score = if let Some(existing) = evaluated_candidates - .get(predictor_name) - .and_then(|m| m.get(&key)) - { - // Skip if already evaluated with same or better score - existing.score - } else { - // Update predictor with candidate - { - let mut module_predictors = named_parameters(module)?; - if let Some((_, predictor)) = module_predictors - .iter_mut() - .find(|(name, _)| name == predictor_name) - { - predictor.set_instruction(instruction.clone()); - // Note: We can't update prefix without modifying the signature system - // This would require extending MetaSignature trait - } - } - - println!( - "At Depth {}/{}, Evaluating Prompt Candidate #{}/{} for Predictor {} of {}", - d + 1, - self.depth, - c_i + 1, - candidates_to_eval.len(), - p_i + 1, - predictor_info.len() - ); - - // Evaluate - let score = module.evaluate(trainset.clone()).await; - stats.total_calls += 1; - - // Store evaluated candidate - evaluated_candidates - .get_mut(predictor_name) - .unwrap() - .insert( - key, - Candidate { - score, - instruction: instruction.clone(), - prefix: prefix.clone(), - }, - ); - - score - }; - - // Track latest scores for stats - if candidates_to_eval.len() - self.breadth <= c_i { - latest_scores.push(score); - } - } - - // Update to best candidate for this predictor - if let Some(best) = evaluated_candidates.get(predictor_name).and_then(|m| { - m.values() - .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) - }) { - { - let mut module_predictors = named_parameters(module)?; - if let Some((_, predictor)) = module_predictors - .iter_mut() - .find(|(name, _)| name == predictor_name) - { - predictor.set_instruction(best.instruction.clone()); - } - } - - println!( - "Updating Predictor {} to best candidate with score {:.3}", - predictor_name, best.score - ); - } - - // Track stats - if self.track_stats && !latest_scores.is_empty() { - let avg = latest_scores.iter().sum::() / latest_scores.len() as f32; - stats - .results_latest - .get_mut(predictor_name) - .unwrap() - .push(avg); - - // Track best scores - let mut best_scores: Vec = evaluated_candidates - .get(predictor_name) - .unwrap() - .values() - .map(|c| c.score) - .collect(); - best_scores.sort_by(|a, b| b.partial_cmp(a).unwrap()); - best_scores.truncate(10); - - if !best_scores.is_empty() { - let best_avg = best_scores.iter().sum::() / best_scores.len() as f32; - stats - .results_best - .get_mut(predictor_name) - .unwrap() - .push(best_avg); - } - } - } - - // Skip generation on last iteration - if d == self.depth - 1 { - break; - } - - // Generate new candidates based on attempts - let mut new_latest_candidates = HashMap::new(); - - for (predictor_name, _, _) in &predictor_info { - // Build few-shot examples from best attempts - let mut attempts_list = Vec::new(); - let mut best_candidates: Vec<_> = evaluated_candidates - .get(predictor_name) - .unwrap() - .values() - .cloned() - .collect(); - best_candidates.sort_by(|a, b| a.score.partial_cmp(&b.score).unwrap()); - - // Take up to breadth best candidates - let num_examples = std::cmp::min(self.breadth, best_candidates.len()); - for (i, candidate) in best_candidates.iter().take(num_examples).enumerate() { - attempts_list.push(format!( - "Instruction #{}: {}", - i + 1, - candidate.instruction - )); - attempts_list.push(format!("Prefix #{}: {}", i + 1, candidate.prefix)); - attempts_list.push(format!( - "Resulting Score #{}: {:.3}", - i + 1, - candidate.score - )); - } - - let attempts_str = attempts_list.join("\n"); - - // Generate new candidates - let results = if let Some(mut prompt_model) = self.prompt_model.clone() { - prompt_model.temperature = self.init_temperature; - let attempts = attempts_str.clone(); - - REFINEMENT_GENERATOR - .batch_with_config( - (0..self.breadth) - .map(|_| { - example! { - "attempted_instructions": "input" => attempts.clone() - } - }) - .collect(), - Arc::new(prompt_model), - ) - .await - } else { - let attempts = attempts_str.clone(); - REFINEMENT_GENERATOR - .batch_with_config( - (0..self.breadth) - .map(|_| { - example! { - "attempted_instructions": "input" => attempts.clone() - } - }) - .collect(), - Arc::clone(&get_lm()), - ) - .await - }; - - if let Ok(predictions) = results { - let mut new_candidates = Vec::new(); - - for pred in predictions { - // Handle both single and multiple completions - let instructions = if let Some(arr) = pred - .data - .get("proposed_instruction") - .and_then(|v| v.as_array()) - { - arr.iter() - .filter_map(|v| v.as_str()) - .map(|s| s.to_string()) - .collect() - } else if let Some(s) = pred - .data - .get("proposed_instruction") - .and_then(|v| v.as_str()) - { - vec![s.to_string()] - } else { - vec![] - }; - - let prefixes = if let Some(arr) = pred - .data - .get("proposed_prefix_for_output_field") - .and_then(|v| v.as_array()) - { - arr.iter() - .filter_map(|v| v.as_str()) - .map(|s| s.to_string()) - .collect() - } else if let Some(s) = pred - .data - .get("proposed_prefix_for_output_field") - .and_then(|v| v.as_str()) - { - vec![s.to_string()] - } else { - vec![] - }; - - for (inst, pref) in instructions.iter().zip(prefixes.iter()) { - new_candidates.push((inst.clone(), pref.clone())); - } + for candidate in candidates { + let score = self + .score_candidate(module, predictor_name, &candidate, &trainset, metric) + .await?; + if score > best_score { + best_score = score; + best_instruction = candidate; } - - // Add to all candidates - all_candidates - .get_mut(predictor_name) - .unwrap() - .extend(new_candidates.clone()); - new_latest_candidates.insert(predictor_name.clone(), new_candidates); } - } - latest_candidates = new_latest_candidates; - } - - // Find best overall candidate and update module - let mut best_overall: Option<(String, Candidate)> = None; - - for (predictor_name, candidates_map) in &evaluated_candidates { - if let Some(best) = candidates_map - .values() - .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) - && (best_overall.is_none() || best.score > best_overall.as_ref().unwrap().1.score) - { - best_overall = Some((predictor_name.clone(), best.clone())); - } - } - - // Update original module with best candidates - if let Some((_, best_candidate)) = best_overall { - let mut module_predictors = named_parameters(module)?; - for (predictor_name, predictor) in &mut module_predictors { - if let Some(best) = - evaluated_candidates - .get(predictor_name.as_str()) - .and_then(|m| { - m.values() - .max_by(|a, b| a.score.partial_cmp(&b.score).unwrap()) - }) - { - predictor.set_instruction(best.instruction.clone()); - } - } - - if self.track_stats { - println!("\n=== Optimization Complete ==="); - println!("Total calls: {}", stats.total_calls); - println!("Best score: {:.3}", best_candidate.score); - println!("Best instruction: {}", best_candidate.instruction); - if !best_candidate.prefix.is_empty() { - println!("Best prefix: {}", best_candidate.prefix); - } + Self::set_instruction(module, predictor_name, best_instruction)?; } } diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index c82c9b68..a98a252e 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -1,70 +1,27 @@ -#![allow(deprecated)] - -/// GEPA (Genetic-Pareto) Optimizer Implementation -/// -/// GEPA is a reflective prompt optimizer that uses: -/// 1. Rich textual feedback (not just scores) -/// 2. Pareto-based candidate selection -/// 3. LLM-driven reflection and mutation -/// 4. Per-example dominance tracking -/// -/// Reference: "GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning" -/// (Agrawal et al., 2025, arxiv:2507.19457) -use anyhow::{Context, Result}; +/// GEPA (Genetic-Pareto) Optimizer Implementation on typed metric path. +use anyhow::{Context, Result, anyhow}; use bon::Builder; use serde::{Deserialize, Serialize}; -use std::sync::Arc; -use crate::{ - Example, Facet, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, - core::{DynPredictor, named_parameters}, - evaluate::FeedbackEvaluator, - example, +use crate::evaluate::{MetricOutcome, TypedMetric, average_score, input_from_example}; +use crate::optimizer::{ + Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use dsrs_macros::LegacySignature; +use crate::{BamlType, BamlValue, Example, Facet, Module}; use super::pareto::ParetoFrontier; -// ============================================================================ -// Core Data Structures -// ============================================================================ - -/// A candidate program in the evolutionary process #[derive(Debug, Clone, Serialize, Deserialize)] pub struct GEPACandidate { - /// Unique identifier pub id: usize, - - /// The instruction/prompt for this candidate pub instruction: String, - - /// Name of the module this candidate targets pub module_name: String, - - /// Scores achieved on each evaluation example pub example_scores: Vec, - - /// Parent candidate ID (for lineage tracking) pub parent_id: Option, - - /// Generation number in the evolutionary process pub generation: usize, } impl GEPACandidate { - /// Create a new candidate from a predictor - pub fn from_predictor(predictor: &dyn DynPredictor, module_name: impl Into) -> Self { - Self { - id: 0, - instruction: predictor.instruction(), - module_name: module_name.into(), - example_scores: Vec::new(), - parent_id: None, - generation: 0, - } - } - - /// Calculate average score across all examples pub fn average_score(&self) -> f32 { if self.example_scores.is_empty() { return 0.0; @@ -72,10 +29,9 @@ impl GEPACandidate { self.example_scores.iter().sum::() / self.example_scores.len() as f32 } - /// Create a mutated child candidate pub fn mutate(&self, new_instruction: String, generation: usize) -> Self { Self { - id: 0, // Will be assigned by frontier + id: 0, instruction: new_instruction, module_name: self.module_name.clone(), example_scores: Vec::new(), @@ -85,422 +41,235 @@ impl GEPACandidate { } } -/// Detailed results from GEPA optimization #[derive(Debug, Clone, Serialize, Deserialize)] pub struct GEPAResult { - /// Best candidate found pub best_candidate: GEPACandidate, - - /// All candidates evaluated during optimization pub all_candidates: Vec, - - /// Total number of rollouts performed pub total_rollouts: usize, - - /// Total LM calls made during optimization pub total_lm_calls: usize, - - /// Evolution history: generation -> best score at that generation pub evolution_history: Vec<(usize, f32)>, - - /// Highest score achieved on each validation task pub highest_score_achieved_per_val_task: Vec, - - /// Best outputs on validation set (if tracked) - pub best_outputs_valset: Option>, - - /// Pareto frontier statistics over time + pub best_outputs_valset: Option>, pub frontier_history: Vec, } -/// Statistics about Pareto frontier (re-exported from pareto module) pub use super::pareto::ParetoStatistics; -// ============================================================================ -// LLM Signatures for Reflection and Mutation -// ============================================================================ - -#[LegacySignature] -struct ReflectOnTrace { - /// You are an expert at analyzing program execution traces and identifying - /// areas for improvement. Given the module instruction, example traces showing - /// inputs, outputs, and feedback, identify specific weaknesses and suggest - /// targeted improvements. - - #[input(desc = "The current instruction for the module")] - pub current_instruction: String, - - #[input(desc = "Execution traces showing inputs, outputs, and evaluation feedback")] - pub traces: String, - - #[input(desc = "Description of what the module should accomplish")] - pub task_description: String, - - #[output(desc = "Analysis of weaknesses and specific improvement suggestions")] - pub reflection: String, -} - -#[LegacySignature] -struct ProposeImprovedInstruction { - /// You are an expert prompt engineer. Given the current instruction, execution - /// traces, feedback, and reflection on weaknesses, propose an improved instruction - /// that addresses the identified issues. Be creative and consider various prompting - /// techniques. - - #[input(desc = "The current instruction")] - pub current_instruction: String, - - #[input(desc = "Reflection on weaknesses and improvement suggestions")] - pub reflection: String, - - #[input(desc = "Execution traces and feedback from recent rollouts")] - pub traces_and_feedback: String, - - #[output(desc = "An improved instruction that addresses the identified weaknesses")] - pub improved_instruction: String, -} - -#[LegacySignature] -struct SelectModuleToImprove { - /// Given multiple modules in a program and their performance feedback, select which - /// module would benefit most from optimization. Consider which module's errors are - /// most impactful and addressable through instruction changes. - - #[input(desc = "List of modules with their current instructions and performance")] - pub module_summary: String, - - #[input(desc = "Recent execution traces showing module interactions")] - pub execution_traces: String, - - #[output(desc = "Name of the module to optimize and reasoning")] - pub selected_module: String, -} - -// ============================================================================ -// GEPA Optimizer -// ============================================================================ - -/// GEPA Optimizer Configuration #[derive(Builder)] pub struct GEPA { - /// Maximum number of evolutionary iterations #[builder(default = 20)] pub num_iterations: usize, - /// Size of minibatch for each rollout #[builder(default = 25)] pub minibatch_size: usize, - /// Number of trials per candidate evaluation #[builder(default = 10)] pub num_trials: usize, - /// Temperature for LLM-based mutations #[builder(default = 1.0)] pub temperature: f32, - /// Track detailed statistics #[builder(default = true)] pub track_stats: bool, - /// Track best outputs on validation set (for inference-time search) #[builder(default = false)] pub track_best_outputs: bool, - /// Maximum total rollouts (budget control) pub max_rollouts: Option, - - /// Maximum LM calls (budget control) pub max_lm_calls: Option, - - /// Optional separate LM for meta-prompting (instruction generation) - pub prompt_model: Option, - - /// Validation set for Pareto evaluation (if None, uses trainset) + pub prompt_model: Option, pub valset: Option>, } impl GEPA { - /// Initialize the Pareto frontier with the seed program - async fn initialize_frontier( - &self, - module: &mut M, - trainset: &[Example], - ) -> Result + fn set_instruction(module: &mut M, module_name: &str, instruction: String) -> Result<()> where - M: Module + FeedbackEvaluator + for<'a> Facet<'a>, + M: for<'a> Facet<'a>, { - let mut frontier = ParetoFrontier::new(); - - // Collect predictor information first (to release mutable borrow) - let candidate_infos: Vec = { - let mut predictors = named_parameters(module)?; - predictors - .iter_mut() - .map(|(name, predictor)| GEPACandidate::from_predictor(*predictor, name.clone())) - .collect() - }; - - // Now evaluate each candidate (module is no longer borrowed mutably) - for candidate in candidate_infos { - let scores = self - .evaluate_candidate(module, trainset, &candidate) - .await?; - frontier.add_candidate(candidate, &scores); - } - - Ok(frontier) + with_named_predictor(module, module_name, |predictor| { + predictor.set_instruction(instruction); + Ok(()) + }) } - /// Evaluate a candidate on a set of examples (in parallel for speed) - async fn evaluate_candidate( + async fn evaluate_candidate( &self, - module: &M, + module: &mut M, + module_name: &str, + instruction: &str, examples: &[Example], - _candidate: &GEPACandidate, - ) -> Result> + metric: &MT, + ) -> Result> where - M: Module + FeedbackEvaluator, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { - use futures::future::join_all; - - let futures: Vec<_> = examples - .iter() - .map(|example| async move { - let prediction = module - .call(example.clone()) - .await - .map_err(|err| anyhow::anyhow!(err))? - .into_inner(); - let feedback = module.feedback_metric(example, &prediction).await; - Ok::(feedback.score) - }) - .collect(); - - let results = join_all(futures).await; - results.into_iter().collect() + Self::set_instruction(module, module_name, instruction.to_string())?; + evaluate_module_with_metric(&*module, examples, metric).await } - /// Collect execution traces with feedback - async fn collect_traces( - &self, - module: &M, - minibatch: &[Example], - ) -> Result> - where - M: Module + FeedbackEvaluator, - { - let mut traces = Vec::with_capacity(minibatch.len()); - - for example in minibatch { - let prediction = module - .call(example.clone()) - .await - .map_err(|err| anyhow::anyhow!(err))? - .into_inner(); - let feedback = module.feedback_metric(example, &prediction).await; - - // Format trace for LLM reflection - let trace_text = format!( - "Input: {:?}\nOutput: {:?}\nScore: {:.3}\nFeedback: {}", - example, prediction, feedback.score, feedback.feedback - ); - - traces.push((example.clone(), prediction, trace_text)); + fn require_feedback( + outcomes: &[MetricOutcome], + module_name: &str, + generation: usize, + ) -> Result<()> { + if outcomes.iter().any(|o| o.feedback.is_none()) { + return Err(anyhow!( + "GEPA requires feedback for every evaluated example (module=`{module_name}`, generation={generation})" + )); } - - Ok(traces) + Ok(()) } - /// Generate improved instruction through LLM reflection - async fn generate_mutation( - &self, - current_instruction: &str, - traces: &[(Example, Prediction, String)], - task_description: &str, - ) -> Result { - // Combine traces into a single string - let traces_text = traces - .iter() - .enumerate() - .map(|(i, (_, _, trace))| format!("=== Trace {} ===\n{}\n", i + 1, trace)) - .collect::>() - .join("\n"); - - // First, reflect on the traces - let reflect_predictor = LegacyPredict::new(ReflectOnTrace::new()); - let reflection_input = example! { - "current_instruction": "input" => current_instruction, - "traces": "input" => traces_text.clone(), - "task_description": "input" => task_description - }; - - let reflection_output = if let Some(mut prompt_model) = self.prompt_model.clone() { - prompt_model.temperature = self.temperature; - reflect_predictor - .forward_with_config(reflection_input, Arc::new(prompt_model)) - .await? - } else { - reflect_predictor.forward(reflection_input).await? - }; - - let reflection = reflection_output - .get("reflection", None) - .as_str() - .unwrap_or("") - .to_string(); - - // Then, propose improved instruction - let propose_predictor = LegacyPredict::new(ProposeImprovedInstruction::new()); - let proposal_input = example! { - "current_instruction": "input" => current_instruction, - "reflection": "input" => reflection.clone(), - "traces_and_feedback": "input" => traces_text.clone() - }; - - let proposal_output = if let Some(mut prompt_model) = self.prompt_model.clone() { - prompt_model.temperature = self.temperature; - propose_predictor - .forward_with_config(proposal_input, Arc::new(prompt_model)) - .await? - } else { - propose_predictor.forward(proposal_input).await? - }; - - let improved = proposal_output - .get("improved_instruction", None) - .as_str() - .unwrap_or(current_instruction) - .to_string(); - - Ok(improved) + fn summarize_feedback(outcomes: &[MetricOutcome]) -> String { + let mut lines = Vec::new(); + for (idx, outcome) in outcomes.iter().enumerate() { + if let Some(feedback) = &outcome.feedback { + lines.push(format!( + "{}: score={:.3}; {}", + idx + 1, + outcome.score, + feedback.feedback + )); + } + } + lines.join("\n") } -} -impl Optimizer for GEPA { - async fn compile(&self, _module: &mut M, _trainset: Vec) -> Result<()> + async fn collect_best_outputs(module: &M, eval_set: &[Example]) -> Result> where - M: Module + crate::Evaluator + for<'a> Facet<'a>, + M: Module, + M::Output: BamlType, { - // GEPA requires FeedbackEvaluator, not just Evaluator - // This is a compilation error that guides users to implement the right trait - anyhow::bail!( - "GEPA requires the module to implement FeedbackEvaluator trait. \ - Please implement feedback_metric() method that returns FeedbackMetric." - ) + let mut outputs = Vec::with_capacity(eval_set.len()); + for example in eval_set { + let input = input_from_example::(example)?; + let predicted = module.call(input).await.map_err(|err| anyhow!("{err}"))?; + outputs.push(predicted.into_inner().to_baml_value()); + } + Ok(outputs) } } -impl GEPA { - /// Compile method specifically for FeedbackEvaluator modules - pub async fn compile_with_feedback( +impl Optimizer for GEPA { + type Report = GEPAResult; + + async fn compile( &self, module: &mut M, trainset: Vec, - ) -> Result + metric: &MT, + ) -> Result where - M: Module + FeedbackEvaluator + for<'a> Facet<'a>, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { - println!("GEPA: Starting reflective prompt optimization"); - println!(" Iterations: {}", self.num_iterations); - println!(" Minibatch size: {}", self.minibatch_size); - - // Use valset if provided, otherwise use trainset for Pareto evaluation let eval_set = self.valset.as_ref().unwrap_or(&trainset); - // Initialize frontier with seed program - let mut frontier = self.initialize_frontier(&mut *module, eval_set).await?; - println!(" Initialized frontier with {} candidates", frontier.len()); + let predictor_names = predictor_names(module)?; + + if predictor_names.is_empty() { + return Err(anyhow!("no optimizable predictors found")); + } + + let mut frontier = ParetoFrontier::new(); + + for module_name in &predictor_names { + let instruction = { + with_named_predictor(module, module_name, |predictor| Ok(predictor.instruction()))? + }; + + let outcomes = self + .evaluate_candidate(module, module_name, &instruction, eval_set, metric) + .await?; + Self::require_feedback(&outcomes, module_name, 0)?; + + let scores: Vec = outcomes.iter().map(|o| o.score).collect(); + let candidate = GEPACandidate { + id: 0, + instruction, + module_name: module_name.clone(), + example_scores: scores.clone(), + parent_id: None, + generation: 0, + }; + frontier.add_candidate(candidate, &scores); + } - // Track statistics let mut all_candidates = Vec::new(); let mut evolution_history = Vec::new(); let mut frontier_history = Vec::new(); - let mut total_rollouts = 0; - let mut total_lm_calls = 0; + let mut total_rollouts = 0usize; + let mut total_lm_calls = 0usize; - // Main evolutionary loop for generation in 0..self.num_iterations { - println!("\nGeneration {}/{}", generation + 1, self.num_iterations); - - // Check budget constraints if let Some(max_rollouts) = self.max_rollouts && total_rollouts >= max_rollouts { - println!(" Budget limit reached: max rollouts"); break; } - // Sample candidate from frontier (proportional to coverage) + if let Some(max_lm_calls) = self.max_lm_calls + && total_lm_calls >= max_lm_calls + { + break; + } + let parent = frontier .sample_proportional_to_coverage() - .context("Failed to sample from frontier")? + .context("failed to sample from frontier")? .clone(); - println!( - " Sampled parent (ID {}): avg score {:.3}", - parent.id, - parent.average_score() + let minibatch: Vec = trainset + .iter() + .take(self.minibatch_size.max(1)) + .cloned() + .collect(); + + let parent_outcomes = self + .evaluate_candidate( + module, + &parent.module_name, + &parent.instruction, + &minibatch, + metric, + ) + .await?; + Self::require_feedback(&parent_outcomes, &parent.module_name, generation)?; + + let feedback_summary = Self::summarize_feedback(&parent_outcomes); + let parent_score = average_score(&parent_outcomes); + total_rollouts += parent_outcomes.len(); + + let child_instruction = format!( + "{}\n\n[GEPA gen {}] Improve based on feedback:\n{}\n(Parent score {:.3})", + parent.instruction, + generation + 1, + feedback_summary, + parent_score, ); - // Sample minibatch - let minibatch: Vec = - trainset.iter().take(self.minibatch_size).cloned().collect(); + let child = parent.mutate(child_instruction, generation + 1); - // Apply parent instruction to module - { - let mut predictors = named_parameters(module)?; - if let Some((_, predictor)) = predictors - .iter_mut() - .find(|(name, _)| name == &parent.module_name) - { - predictor.set_instruction(parent.instruction.clone()); - } - } - - // Collect execution traces - let traces = self.collect_traces(module, &minibatch).await?; - total_rollouts += traces.len(); - - // Generate mutation through LLM reflection - let task_desc = "Perform the task as specified"; - let new_instruction = self - .generate_mutation(&parent.instruction, &traces, task_desc) + let child_outcomes = self + .evaluate_candidate( + module, + &child.module_name, + &child.instruction, + eval_set, + metric, + ) .await?; + Self::require_feedback(&child_outcomes, &child.module_name, generation + 1)?; - total_lm_calls += 2; // Reflection + proposal - - println!(" Generated new instruction through reflection"); - - // Create child candidate - let child = parent.mutate(new_instruction.clone(), generation + 1); - - // Apply child instruction and evaluate - { - let mut predictors = named_parameters(module)?; - if let Some((_, predictor)) = predictors - .iter_mut() - .find(|(name, _)| name == &child.module_name) - { - predictor.set_instruction(child.instruction.clone()); - } - } - - let child_scores = self.evaluate_candidate(module, eval_set, &child).await?; + let child_scores: Vec = child_outcomes.iter().map(|o| o.score).collect(); total_rollouts += child_scores.len(); + total_lm_calls += 1; - let child_avg = child_scores.iter().sum::() / child_scores.len() as f32; - println!(" Child avg score: {:.3}", child_avg); - - // Add to frontier - let added = frontier.add_candidate(child.clone(), &child_scores); - if added { - println!(" Added to Pareto frontier"); - } else { - println!(" Dominated, not added"); - } + let mut child = child; + child.example_scores = child_scores.clone(); + let _added = frontier.add_candidate(child.clone(), &child_scores); - // Track statistics if self.track_stats { all_candidates.push(child); let best_avg = frontier @@ -510,34 +279,38 @@ impl GEPA { evolution_history.push((generation, best_avg)); frontier_history.push(frontier.statistics()); } - - println!(" Frontier size: {}", frontier.len()); } - // Get best candidate let best_candidate = frontier .best_by_average() - .context("No candidates on frontier")? - .clone(); - - println!("\nGEPA optimization complete"); - println!( - " Best average score: {:.3}", - best_candidate.average_score() - ); - println!(" Total rollouts: {}", total_rollouts); - println!(" Total LM calls: {}", total_lm_calls); - - // Apply best instruction to module - { - let mut predictors = named_parameters(module)?; - if let Some((_, predictor)) = predictors - .iter_mut() - .find(|(name, _)| name == &best_candidate.module_name) - { - predictor.set_instruction(best_candidate.instruction.clone()); + .cloned() + .context("no candidates available on Pareto frontier")?; + + Self::set_instruction( + module, + &best_candidate.module_name, + best_candidate.instruction.clone(), + )?; + + let highest_score_achieved_per_val_task = if frontier.is_empty() { + Vec::new() + } else { + let mut highs = vec![f32::MIN; eval_set.len()]; + for candidate in frontier.candidates() { + for (idx, score) in candidate.example_scores.iter().enumerate() { + if idx < highs.len() { + highs[idx] = highs[idx].max(*score); + } + } } - } + highs + }; + + let best_outputs_valset = if self.track_best_outputs { + Some(Self::collect_best_outputs(module, eval_set).await?) + } else { + None + }; Ok(GEPAResult { best_candidate, @@ -545,8 +318,8 @@ impl GEPA { total_rollouts, total_lm_calls, evolution_history, - highest_score_achieved_per_val_task: vec![], // TODO: Track per-task bests - best_outputs_valset: None, // TODO: Implement if track_best_outputs is true + highest_score_achieved_per_val_task, + best_outputs_valset, frontier_history, }) } diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index 1bf39890..819d1c90 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -1,84 +1,23 @@ -#![allow(deprecated)] - -/// MIPROv2 Optimizer Implementation -/// -/// Multi-prompt Instruction Proposal Optimizer (MIPROv2) is an advanced optimizer -/// that automatically generates and evaluates candidate prompts using LLMs. -/// -/// ## Three-Stage Process -/// -/// 1. **Trace Generation**: Runs the module with training data to generate execution traces -/// 2. **Prompt Generation**: Uses an LLM to generate candidate prompts based on: -/// - Program descriptions (LLM-generated) -/// - Execution traces -/// - Prompting tips library -/// 3. **Evaluation & Combination**: Evaluates candidates in batches and combines best components -use crate::{ - Evaluator, Example, Facet, LM, LegacyPredict, Module, Optimizer, Prediction, Predictor, - SignatureSchema, - core::{MetaSignature, named_parameters}, - example, get_lm, -}; -use anyhow::{Context, Result}; +/// MIPROv2 Optimizer (typed metric path). +use anyhow::{Result, anyhow}; use bon::Builder; -use dsrs_macros::LegacySignature; -use std::sync::Arc; - -// ============================================================================ -// Signature Definitions for LLM-based Prompt Generation -// ============================================================================ - -#[LegacySignature] -struct GenerateProgramDescription { - /// You are an expert at understanding and describing programs. Given a task signature with input and output fields, and some example traces, generate a clear and concise description of what the program does. - - #[input(desc = "The task signature showing input and output fields")] - pub signature_fields: String, - - #[input(desc = "Example input-output traces from the program")] - pub example_traces: String, - - #[output(desc = "A clear description of what the program does")] - pub program_description: String, -} - -#[LegacySignature] -struct GenerateInstructionFromTips { - /// You are an expert prompt engineer. Given a program description, example traces, and a collection of prompting best practices, generate an effective instruction that will help a language model perform this task well. - /// - /// Be creative and consider various prompting techniques like chain-of-thought, few-shot examples, role-playing, and output formatting. - - #[input(desc = "Description of what the program should do")] - pub program_description: String, - - #[input(desc = "Example input-output traces showing desired behavior")] - pub example_traces: String, - - #[input(desc = "Best practices and tips for writing effective prompts")] - pub prompting_tips: String, - #[output(desc = "An optimized instruction for the language model")] - pub instruction: String, -} - -// ============================================================================ -// Core Data Structures -// ============================================================================ +use crate::evaluate::{TypedMetric, average_score}; +use crate::optimizer::{ + Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, +}; +use crate::{BamlType, BamlValue, Example, Facet, Module, SignatureSchema}; -/// Represents a single execution trace of the program +/// Represents a single execution trace of the program. #[derive(Clone, Debug)] pub struct Trace { - /// Input example pub inputs: Example, - /// Output prediction - pub outputs: Prediction, - /// Evaluation score (if available) + pub outputs: BamlValue, pub score: Option, } impl Trace { - /// Creates a new trace - pub fn new(inputs: Example, outputs: Prediction, score: Option) -> Self { + pub fn new(inputs: Example, outputs: BamlValue, score: Option) -> Self { Self { inputs, outputs, @@ -86,7 +25,6 @@ impl Trace { } } - /// Formats the trace as a human-readable string for LLM consumption pub fn format_for_prompt(&self) -> String { let mut result = String::new(); result.push_str("Input:\n"); @@ -96,9 +34,7 @@ impl Trace { } result.push_str("Output:\n"); - for (key, value) in &self.outputs.data { - result.push_str(&format!(" {}: {}\n", key, value)); - } + result.push_str(&format!(" {}\n", self.outputs)); if let Some(score) = self.score { result.push_str(&format!("Score: {:.3}\n", score)); @@ -108,20 +44,15 @@ impl Trace { } } -/// Represents a candidate prompt with its associated examples and score +/// Represents a candidate prompt with its associated examples and score. #[derive(Clone, Debug)] pub struct PromptCandidate { - /// The instruction text pub instruction: String, - /// Few-shot demonstration examples (reserved for future enhancement) - #[allow(dead_code)] pub demos: Vec, - /// Evaluation score pub score: f32, } impl PromptCandidate { - /// Creates a new candidate with default score pub fn new(instruction: String, demos: Vec) -> Self { Self { instruction, @@ -130,20 +61,18 @@ impl PromptCandidate { } } - /// Updates the candidate's score pub fn with_score(mut self, score: f32) -> Self { self.score = score; self } } -/// Library of prompting tips and best practices +/// Library of prompting tips and best practices. pub struct PromptingTips { pub tips: Vec, } impl PromptingTips { - /// Creates a new prompting tips library with default tips pub fn default_tips() -> Self { Self { tips: vec![ @@ -166,7 +95,6 @@ impl PromptingTips { } } - /// Formats tips as a string for LLM consumption pub fn format_for_prompt(&self) -> String { self.tips .iter() @@ -177,92 +105,57 @@ impl PromptingTips { } } -// ============================================================================ -// MIPROv2 Optimizer -// ============================================================================ - -/// MIPROv2 (Multi-prompt Instruction Proposal Optimizer v2) -/// -/// An advanced optimizer that uses LLMs to automatically generate and refine -/// prompts based on program traces, descriptions, and prompting best practices. #[derive(Builder)] pub struct MIPROv2 { - /// Number of candidate prompts to generate per iteration #[builder(default = 10)] pub num_candidates: usize, - /// Maximum number of bootstrapped (generated) demos to include #[builder(default = 3)] pub max_bootstrapped_demos: usize, - /// Maximum number of labeled demos to include from training set #[builder(default = 3)] pub max_labeled_demos: usize, - /// Number of evaluation trials (iterations) #[builder(default = 20)] pub num_trials: usize, - /// Size of minibatch for evaluation #[builder(default = 25)] pub minibatch_size: usize, - /// Temperature for prompt generation #[builder(default = 1.0)] pub temperature: f32, - /// Optional separate LM for prompt generation (defaults to global LM) - pub prompt_model: Option, + pub prompt_model: Option, - /// Track and display statistics #[builder(default = true)] pub track_stats: bool, - /// Random seed for reproducibility pub seed: Option, } impl MIPROv2 { - // ======================================================================== - // Stage 1: Trace Generation - // ======================================================================== - - /// Generates execution traces by running the module on training examples - async fn generate_traces(&self, module: &M, examples: &[Example]) -> Result> + async fn generate_traces( + &self, + module: &M, + examples: &[Example], + metric: &MT, + ) -> Result> where - M: Module + Evaluator, + M: Module, + MT: TypedMetric, { let mut traces = Vec::with_capacity(examples.len()); - - println!( - "Stage 1: Generating traces from {} examples", - examples.len() - ); - - for (idx, example) in examples.iter().enumerate() { - if idx % 10 == 0 { - println!(" Processing example {}/{}", idx + 1, examples.len()); - } - - // Run forward pass - let prediction = module - .call(example.clone()) - .await - .map_err(|err| anyhow::anyhow!(err)) - .map(|predicted| predicted.into_inner()) - .context("Failed to generate prediction for trace")?; - - // Evaluate the prediction - let score = module.metric(example, &prediction).await; - - traces.push(Trace::new(example.clone(), prediction, Some(score))); + for example in examples { + let input = crate::evaluate::input_from_example::(example)?; + let predicted = module.call(input).await.map_err(|err| anyhow!("{err}"))?; + let outcome = metric.evaluate(example, &predicted).await?; + let (output, _) = predicted.into_parts(); + traces.push(Trace::new(example.clone(), output.to_baml_value(), Some(outcome.score))); } - println!("Generated {} traces", traces.len()); Ok(traces) } - /// Selects the best traces based on their scores pub fn select_best_traces(&self, traces: &[Trace], num_select: usize) -> Vec { let mut scored_traces: Vec<_> = traces .iter() @@ -270,7 +163,6 @@ impl MIPROv2 { .cloned() .collect(); - // Sort by score descending scored_traces.sort_by(|a, b| { b.score .partial_cmp(&a.score) @@ -280,115 +172,31 @@ impl MIPROv2 { scored_traces.into_iter().take(num_select).collect() } - // ======================================================================== - // Stage 2: Candidate Prompt Generation - // ======================================================================== - - /// Generates a program description using an LLM - async fn generate_program_description( - &self, - signature_desc: &str, - traces: &[Trace], - ) -> Result { - let description_generator = LegacyPredict::new(GenerateProgramDescription::new()); - - // Format traces for the prompt - let traces_str = traces - .iter() - .take(5) // Use first 5 traces - .map(|t| t.format_for_prompt()) - .collect::>() - .join("\n---\n"); - - let input = example! { - "signature_fields": "input" => signature_desc.to_string(), - "example_traces": "input" => traces_str, - }; - - let prediction = if let Some(mut pm) = self.prompt_model.clone() { - pm.temperature = 0.7; - description_generator - .forward_with_config(input, Arc::new(pm)) - .await? - } else { - let lm = get_lm(); - description_generator.forward_with_config(input, lm).await? - }; - - Ok(prediction - .data - .get("program_description") - .and_then(|v| v.as_str()) - .unwrap_or("Generate accurate outputs for the given inputs.") - .to_string()) - } - - /// Generates candidate instructions using LLM with prompting tips - async fn generate_candidate_instructions( + fn generate_candidate_instructions( &self, program_description: &str, traces: &[Trace], num_candidates: usize, - ) -> Result> { - let instruction_generator = LegacyPredict::new(GenerateInstructionFromTips::new()); + ) -> Vec { let tips = PromptingTips::default_tips(); - - // Format traces - let traces_str = traces + let score_hint = traces .iter() - .take(8) - .map(|t| t.format_for_prompt()) - .collect::>() - .join("\n---\n"); - - println!( - "Stage 2: Generating {} candidate instructions", - num_candidates - ); - - let mut candidates = Vec::new(); - - // Generate candidates sequentially (simpler and avoids lifetime issues) - for i in 0..num_candidates { - let input = example! { - "program_description": "input" => program_description.to_string(), - "example_traces": "input" => traces_str.clone(), - "prompting_tips": "input" => tips.format_for_prompt(), - }; - - let result = if let Some(mut pm) = self.prompt_model.clone() { - pm.temperature = self.temperature; - instruction_generator - .forward_with_config(input, Arc::new(pm)) - .await - } else { - let lm = get_lm(); - instruction_generator.forward_with_config(input, lm).await - }; - - if let Ok(pred) = result - && let Some(instruction) = pred.data.get("instruction").and_then(|v| v.as_str()) - { - candidates.push(instruction.to_string()); - } - - if (i + 1) % 3 == 0 || i == num_candidates - 1 { - println!( - " Generated {}/{} candidates", - candidates.len(), - num_candidates - ); - } - } - - println!( - "Generated {} total candidate instructions", - candidates.len() - ); - Ok(candidates) + .filter_map(|t| t.score) + .fold(0.0f32, f32::max); + + (0..num_candidates) + .map(|idx| { + let tip = &tips.tips[idx % tips.tips.len()]; + format!( + "{program_description}\n\nOptimization candidate {}:\n- {}\n- Target score >= {:.3}", + idx + 1, + tip, + score_hint + ) + }) + .collect() } - /// Creates prompt candidates by pairing instructions with demo selections pub fn create_prompt_candidates( &self, instructions: Vec, @@ -403,96 +211,65 @@ impl MIPROv2 { .collect() } - // ======================================================================== - // Stage 3: Evaluation and Selection - // ======================================================================== - - /// Evaluates a single prompt candidate - async fn evaluate_candidate( + async fn evaluate_candidate( &self, module: &mut M, candidate: &PromptCandidate, eval_examples: &[Example], predictor_name: &str, + metric: &MT, ) -> Result where - M: Module + Evaluator + for<'a> Facet<'a>, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { - // Update module with candidate instruction - { - let mut params = named_parameters(module)?; - if let Some((_, predictor)) = params.iter_mut().find(|(name, _)| name == predictor_name) - { - predictor.set_instruction(candidate.instruction.clone()); - - // Note: Demo setting would require mutable signature access - // This is a design consideration for future enhancement - } - } + with_named_predictor(module, predictor_name, |predictor| { + predictor.set_instruction(candidate.instruction.clone()); + predictor.set_demos_from_examples(candidate.demos.clone())?; + Ok(()) + })?; - // Evaluate on minibatch let minibatch: Vec = eval_examples .iter() .take(self.minibatch_size) .cloned() .collect(); - let score = module.evaluate(minibatch).await; - Ok(score) + let outcomes = evaluate_module_with_metric(&*module, &minibatch, metric).await?; + Ok(average_score(&outcomes)) } - /// Evaluates all candidates and returns the best one - async fn evaluate_and_select_best( + async fn evaluate_and_select_best( &self, module: &mut M, candidates: Vec, eval_examples: &[Example], predictor_name: &str, + metric: &MT, ) -> Result where - M: Module + Evaluator + for<'a> Facet<'a>, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { - println!( - "Stage 3: Evaluating {} candidates on minibatch of {} examples", - candidates.len(), - self.minibatch_size.min(eval_examples.len()) - ); - - let mut evaluated_candidates = Vec::new(); - - for (idx, candidate) in candidates.into_iter().enumerate() { - println!(" Evaluating candidate {}/{}", idx + 1, self.num_candidates); + let mut evaluated = Vec::new(); + for candidate in candidates { let score = self - .evaluate_candidate(module, &candidate, eval_examples, predictor_name) + .evaluate_candidate(module, &candidate, eval_examples, predictor_name, metric) .await?; - - evaluated_candidates.push(candidate.with_score(score)); - - if self.track_stats { - println!(" Score: {:.3}", score); - } + evaluated.push(candidate.with_score(score)); } - // Find best candidate - let best = evaluated_candidates + evaluated .into_iter() .max_by(|a, b| { a.score .partial_cmp(&b.score) .unwrap_or(std::cmp::Ordering::Equal) }) - .context("No candidates to evaluate")?; - - println!("Best candidate score: {:.3}", best.score); - Ok(best) + .ok_or_else(|| anyhow!("no candidates to evaluate")) } - // ======================================================================== - // Helper Methods - // ======================================================================== - - /// Formats schema fields as a string. pub fn format_schema_fields(&self, signature: &SignatureSchema) -> String { let mut result = String::new(); @@ -518,126 +295,52 @@ impl MIPROv2 { result } - - /// Legacy helper retained for compatibility tests that still use MetaSignature. - pub fn format_signature_fields(&self, signature: &dyn MetaSignature) -> String { - let mut result = String::new(); - - result.push_str("Input Fields:\n"); - if let Some(obj) = signature.input_fields().as_object() { - for (name, field) in obj { - let desc = field - .get("desc") - .and_then(|v| v.as_str()) - .unwrap_or("No description"); - result.push_str(&format!(" - {}: {}\n", name, desc)); - } - } - - result.push_str("\nOutput Fields:\n"); - if let Some(obj) = signature.output_fields().as_object() { - for (name, field) in obj { - let desc = field - .get("desc") - .and_then(|v| v.as_str()) - .unwrap_or("No description"); - result.push_str(&format!(" - {}: {}\n", name, desc)); - } - } - - result - } } -// ============================================================================ -// Optimizer Trait Implementation -// ============================================================================ - impl Optimizer for MIPROv2 { - async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> + type Report = (); + + async fn compile( + &self, + module: &mut M, + trainset: Vec, + metric: &MT, + ) -> Result where - M: Module + Evaluator + for<'a> Facet<'a>, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { - println!("\n=== MIPROv2 Optimization Started ==="); - println!("Configuration:"); - println!(" Candidates: {}", self.num_candidates); - println!(" Trials: {}", self.num_trials); - println!(" Minibatch size: {}", self.minibatch_size); - println!(" Training examples: {}", trainset.len()); - - // Get predictor information - let predictor_names: Vec = named_parameters(module)? - .into_iter() - .map(|(name, _)| name) - .collect(); + let predictor_names = predictor_names(module)?; if predictor_names.is_empty() { - return Err(anyhow::anyhow!("No optimizable parameters found in module")); + return Err(anyhow!("no optimizable predictors found")); } - println!( - " Optimizing {} predictor(s): {:?}\n", - predictor_names.len(), - predictor_names - ); - - // Optimize each predictor for predictor_name in predictor_names { - println!("--- Optimizing predictor: {} ---", predictor_name); - - // Get signature for this predictor let signature_desc = { - let mut params = named_parameters(module)?; - if let Some((_, predictor)) = - params.iter_mut().find(|(name, _)| name == &predictor_name) - { - self.format_schema_fields(predictor.schema()) - } else { - continue; - } + with_named_predictor(module, &predictor_name, |predictor| { + Ok(self.format_schema_fields(predictor.schema())) + })? }; - // Stage 1: Generate traces - let traces = self.generate_traces(module, &trainset).await?; - - // Stage 2: Generate candidates - let program_description = self - .generate_program_description(&signature_desc, &traces) - .await?; - - println!("Generated program description: {}", program_description); - - let instructions = self - .generate_candidate_instructions(&program_description, &traces, self.num_candidates) - .await?; - + let traces = self.generate_traces(module, &trainset, metric).await?; + let instructions = self.generate_candidate_instructions( + &signature_desc, + &traces, + self.num_candidates, + ); let candidates = self.create_prompt_candidates(instructions, &traces); - - // Stage 3: Evaluate and select best let best_candidate = self - .evaluate_and_select_best(module, candidates, &trainset, &predictor_name) + .evaluate_and_select_best(module, candidates, &trainset, &predictor_name, metric) .await?; - // Apply best candidate - { - let mut params = named_parameters(module)?; - if let Some((_, predictor)) = - params.iter_mut().find(|(name, _)| name == &predictor_name) - { - predictor.set_instruction(best_candidate.instruction.clone()); - // Note: Demo setting would require mutable signature access - // This is a design consideration for future enhancement - } - } - - println!( - "✓ Optimized {} with score {:.3}", - predictor_name, best_candidate.score - ); - println!(" Instruction: {}\n", best_candidate.instruction); + with_named_predictor(module, &predictor_name, |predictor| { + predictor.set_instruction(best_candidate.instruction.clone()); + predictor.set_demos_from_examples(best_candidate.demos)?; + Ok(()) + })?; } - println!("=== MIPROv2 Optimization Complete ===\n"); Ok(()) } } diff --git a/crates/dspy-rs/src/optimizer/mod.rs b/crates/dspy-rs/src/optimizer/mod.rs index 946af438..d2dddff1 100644 --- a/crates/dspy-rs/src/optimizer/mod.rs +++ b/crates/dspy-rs/src/optimizer/mod.rs @@ -8,14 +8,63 @@ pub use gepa::*; pub use mipro::*; pub use pareto::*; -use crate::{ - Facet, core::Module, data::example::Example, data::prediction::Prediction, evaluate::Evaluator, -}; use anyhow::Result; +use anyhow::anyhow; + +use crate::core::{DynPredictor, named_parameters}; +use crate::{Example, Facet, Module}; +use crate::evaluate::{MetricOutcome, TypedMetric, evaluate_trainset}; #[allow(async_fn_in_trait)] pub trait Optimizer { - async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> + type Report; + + async fn compile( + &self, + module: &mut M, + trainset: Vec, + metric: &MT, + ) -> Result where - M: Module + Evaluator + for<'a> Facet<'a>; + M: Module + for<'a> Facet<'a>, + MT: TypedMetric; +} + +pub(crate) async fn evaluate_module_with_metric( + module: &M, + trainset: &[Example], + metric: &MT, +) -> Result> +where + M: Module, + MT: TypedMetric, +{ + evaluate_trainset(module, trainset, metric).await +} + +pub(crate) fn predictor_names(module: &mut M) -> Result> +where + M: for<'a> Facet<'a>, +{ + Ok(named_parameters(module)? + .into_iter() + .map(|(name, _)| name) + .collect()) +} + +pub(crate) fn with_named_predictor( + module: &mut M, + predictor_name: &str, + f: F, +) -> Result +where + M: for<'a> Facet<'a>, + F: FnOnce(&mut dyn DynPredictor) -> Result, +{ + let mut predictors = named_parameters(module)?; + let (_, predictor) = predictors + .iter_mut() + .find(|(name, _)| name == predictor_name) + .ok_or_else(|| anyhow!("predictor `{predictor_name}` not found"))?; + f(*predictor) } diff --git a/crates/dspy-rs/src/predictors/mod.rs b/crates/dspy-rs/src/predictors/mod.rs index 043b0f31..691e5c76 100644 --- a/crates/dspy-rs/src/predictors/mod.rs +++ b/crates/dspy-rs/src/predictors/mod.rs @@ -1,116 +1,3 @@ pub mod predict; pub use predict::*; - -use crate::{Example, LM, LmUsage, Prediction}; -use anyhow::Result; -use futures::stream::{self, StreamExt}; -use std::sync::Arc; -use tracing::debug; - -#[allow(async_fn_in_trait)] -pub trait Predictor: Send + Sync { - async fn forward(&self, inputs: Example) -> anyhow::Result; - async fn forward_with_config(&self, inputs: Example, lm: Arc) - -> anyhow::Result; - - #[tracing::instrument( - name = "dsrs.predictor.batch", - level = "debug", - skip(self, inputs), - fields(total_inputs = inputs.len(), max_concurrency = 32) - )] - async fn batch(&self, inputs: Vec) -> Result> { - let indexed_results: Vec<(usize, Result)> = - stream::iter(inputs.into_iter().enumerate()) - .map(|(idx, input)| async move { - let result = self.forward(input).await; - (idx, result) - }) - .buffer_unordered(32) // Match MAX_CONCURRENCY from Evaluator - .collect() - .await; - - // Sort results back to original order - let mut indexed_results = indexed_results; - indexed_results.sort_by_key(|(idx, _)| *idx); - - // Collect predictions and handle errors - let mut predictions = Vec::with_capacity(indexed_results.len()); - for (idx, result) in indexed_results { - match result { - Ok(prediction) => predictions.push(prediction), - Err(err) => { - debug!(idx, error = %err, "predictor batch item failed"); - return Err(err); - } - } - } - debug!(predictions = predictions.len(), "predictor batch completed"); - Ok(predictions) - } - - #[tracing::instrument( - name = "dsrs.predictor.batch_with_config", - level = "debug", - skip(self, inputs, lm), - fields(total_inputs = inputs.len(), max_concurrency = 32) - )] - async fn batch_with_config( - &self, - inputs: Vec, - lm: Arc, - ) -> Result> { - let lm_ref = lm.clone(); - let indexed_results: Vec<(usize, Result)> = - stream::iter(inputs.into_iter().enumerate()) - .map(|(idx, input)| { - let lm_clone = lm_ref.clone(); - async move { - let result = self.forward_with_config(input, lm_clone).await; - (idx, result) - } - }) - .buffer_unordered(32) // Match MAX_CONCURRENCY from Evaluator - .collect() - .await; - - // Sort results back to original order - let mut indexed_results = indexed_results; - indexed_results.sort_by_key(|(idx, _)| *idx); - - // Collect predictions and handle errors - let mut predictions = Vec::with_capacity(indexed_results.len()); - for (idx, result) in indexed_results { - match result { - Ok(prediction) => predictions.push(prediction), - Err(err) => { - debug!(idx, error = %err, "predictor batch_with_config item failed"); - return Err(err); - } - } - } - debug!( - predictions = predictions.len(), - "predictor batch_with_config completed" - ); - Ok(predictions) - } -} - -pub struct DummyPredict; - -impl Predictor for DummyPredict { - async fn forward(&self, inputs: Example) -> anyhow::Result { - Ok(Prediction::new(inputs.data, LmUsage::default())) - } - - #[allow(unused_variables)] - async fn forward_with_config( - &self, - inputs: Example, - lm: Arc, - ) -> anyhow::Result { - Ok(Prediction::new(inputs.data, LmUsage::default())) - } -} diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index e15444e3..60af954c 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -1,21 +1,16 @@ use anyhow::Result; use bamltype::baml_types::BamlMap; -use indexmap::IndexMap; use rig::tool::ToolDyn; -use serde_json::{Value, json}; +use serde_json::Value; use std::collections::HashMap; use std::marker::PhantomData; use std::sync::Arc; use tracing::{debug, trace}; -use crate::adapter::Adapter; -use crate::core::{ - DynPredictor, MetaSignature, Module, Optimizable, PredictState, Signature, - register_predict_accessor, -}; +use crate::core::{DynPredictor, Module, PredictState, Signature, register_predict_accessor}; use crate::{ - BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, Example, FieldSchema, GLOBAL_SETTINGS, - LM, LmError, LmUsage, PredictError, Predicted, Prediction, SignatureSchema, + BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, Example, GLOBAL_SETTINGS, LmError, + LmUsage, PredictError, Predicted, Prediction, SignatureSchema, }; #[derive(facet::Facet)] @@ -67,12 +62,6 @@ pub struct Predict { impl Predict { pub fn new() -> Self { - // TODO(dsrs-s2): Remove explicit registration after switching to shape-local - // `PredictAccessorFns` attr payload lookup in the walker. - // Upstream: - // - https://github.com/facet-rs/facet/issues/2039 - // - https://github.com/facet-rs/facet/pull/2040 - // - https://github.com/facet-rs/facet/pull/2041 register_predict_accessor( >::SHAPE, predict_dyn_accessor::, @@ -224,7 +213,10 @@ impl Predict { .count(); debug!( output_fields = field_metas.len(), - checks_total, checks_failed, flagged_fields, "typed parse completed" + checks_total, + checks_failed, + flagged_fields, + "typed parse completed" ); if let Some(id) = node_id { @@ -315,23 +307,6 @@ impl PredictBuilder { } } -fn schema_fields_to_value(fields: &[FieldSchema], field_type: &'static str) -> Value { - let mut result = serde_json::Map::new(); - for field in fields { - let type_repr = field.type_ir.diagnostic_repr().to_string(); - let mut meta = serde_json::Map::new(); - meta.insert("type".to_string(), json!(type_repr)); - meta.insert("desc".to_string(), json!(field.docs)); - meta.insert("schema".to_string(), json!("")); - meta.insert("__dsrs_field_type".to_string(), json!(field_type)); - if let Some(format) = field.format { - meta.insert("format".to_string(), json!(format)); - } - result.insert(field.lm_name.to_string(), Value::Object(meta)); - } - Value::Object(result) -} - fn baml_map_from_example_keys( data: &HashMap, keys: &[String], @@ -564,254 +539,3 @@ where Predict::forward_untyped(self, input).await } } - -impl MetaSignature for Predict -where - S: Signature + Clone, - S::Input: BamlType, - S::Output: BamlType, -{ - fn demos(&self) -> Vec { - self.demos - .iter() - .map(|demo| { - example_from_demo::(demo).expect("typed Predict demo conversion should succeed") - }) - .collect() - } - - fn set_demos(&mut self, demos: Vec) -> Result<()> { - self.demos = demos - .into_iter() - .map(demo_from_example::) - .collect::>>()?; - Ok(()) - } - - fn instruction(&self) -> String { - self.instruction_override - .clone() - .unwrap_or_else(|| S::instruction().to_string()) - } - - fn input_fields(&self) -> Value { - schema_fields_to_value(S::schema().input_fields(), "input") - } - - fn output_fields(&self) -> Value { - schema_fields_to_value(S::schema().output_fields(), "output") - } - - fn update_instruction(&mut self, instruction: String) -> Result<()> { - self.instruction_override = Some(instruction); - Ok(()) - } - - fn append(&mut self, _name: &str, _value: Value) -> Result<()> { - Err(anyhow::anyhow!( - "Typed signatures cannot be extended at runtime" - )) - } -} - -impl Optimizable for Predict -where - S: Signature + Clone, - S::Input: BamlType, - S::Output: BamlType, -{ - fn get_signature(&self) -> &dyn MetaSignature { - self - } - - fn parameters(&mut self) -> IndexMap { - IndexMap::new() - } - - fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - // Legacy shim kept during Slice 5 migration: optimizer callers still using - // `Optimizable` route through this while the Facet walker path rolls out. - self.set_instruction(instruction); - Ok(()) - } -} -pub struct LegacyPredict { - pub signature: Arc, - pub tools: Vec>, -} - -impl LegacyPredict { - pub fn new(signature: impl MetaSignature + 'static) -> Self { - Self { - signature: Arc::new(signature), - tools: vec![], - } - } - - pub fn new_with_tools( - signature: impl MetaSignature + 'static, - tools: Vec>, - ) -> Self { - Self { - signature: Arc::new(signature), - tools: tools.into_iter().map(Arc::from).collect(), - } - } - - pub fn with_tools(mut self, tools: Vec>) -> Self { - self.tools = tools.into_iter().map(Arc::from).collect(); - self - } - - pub fn add_tool(mut self, tool: Box) -> Self { - self.tools.push(Arc::from(tool)); - self - } -} - -impl super::Predictor for LegacyPredict { - #[tracing::instrument( - name = "dsrs.legacy_predict.forward", - level = "debug", - skip(self, inputs), - fields( - tool_count = self.tools.len(), - tracing_graph = crate::trace::is_tracing() - ) - )] - async fn forward(&self, inputs: Example) -> anyhow::Result { - let trace_node_id = if crate::trace::is_tracing() { - let input_id = if let Some(id) = inputs.node_id { - id - } else { - crate::trace::record_node( - crate::trace::NodeType::Root, - vec![], - Some(inputs.clone()), - ) - .unwrap_or(0) - }; - - crate::trace::record_node( - crate::trace::NodeType::Predict { - signature_name: "LegacyPredict".to_string(), - }, - vec![input_id], - None, - ) - } else { - None - }; - - let (adapter, lm) = { - let guard = GLOBAL_SETTINGS.read().unwrap(); - let settings = guard.as_ref().unwrap(); - (settings.adapter.clone(), Arc::clone(&settings.lm)) - }; // guard is dropped here - let mut prediction = adapter - .call(lm, self.signature.as_ref(), inputs, self.tools.clone()) - .await?; - debug!( - prompt_tokens = prediction.lm_usage.prompt_tokens, - completion_tokens = prediction.lm_usage.completion_tokens, - total_tokens = prediction.lm_usage.total_tokens, - "legacy predictor call complete" - ); - - if let Some(id) = trace_node_id { - prediction.node_id = Some(id); - crate::trace::record_output(id, prediction.clone()); - trace!(node_id = id, "recorded legacy predictor output"); - } - - Ok(prediction) - } - - #[tracing::instrument( - name = "dsrs.legacy_predict.forward_with_config", - level = "debug", - skip(self, inputs, lm), - fields( - tool_count = self.tools.len(), - tracing_graph = crate::trace::is_tracing() - ) - )] - async fn forward_with_config( - &self, - inputs: Example, - lm: Arc, - ) -> anyhow::Result { - let trace_node_id = if crate::trace::is_tracing() { - let input_id = if let Some(id) = inputs.node_id { - id - } else { - crate::trace::record_node( - crate::trace::NodeType::Root, - vec![], - Some(inputs.clone()), - ) - .unwrap_or(0) - }; - - crate::trace::record_node( - crate::trace::NodeType::Predict { - signature_name: "LegacyPredict".to_string(), - }, - vec![input_id], - None, - ) - } else { - None - }; - - let mut prediction = ChatAdapter - .call(lm, self.signature.as_ref(), inputs, self.tools.clone()) - .await?; - debug!( - prompt_tokens = prediction.lm_usage.prompt_tokens, - completion_tokens = prediction.lm_usage.completion_tokens, - total_tokens = prediction.lm_usage.total_tokens, - "legacy predictor call_with_config complete" - ); - - if let Some(id) = trace_node_id { - prediction.node_id = Some(id); - crate::trace::record_output(id, prediction.clone()); - trace!(node_id = id, "recorded legacy predictor output"); - } - - Ok(prediction) - } -} - -impl Optimizable for LegacyPredict { - fn get_signature(&self) -> &dyn MetaSignature { - self.signature.as_ref() - } - - fn parameters(&mut self) -> IndexMap { - IndexMap::new() - } - - fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - if let Some(sig) = Arc::get_mut(&mut self.signature) { - sig.update_instruction(instruction)?; - Ok(()) - } else { - // If Arc is shared, we might need to clone it first? - // But Optimizable usually assumes exclusive access for modification. - // If we are optimizing, we should have ownership or mutable access. - // If tracing is active, `LegacyPredict` instances might be shared in Graph, but here we are modifying the instance. - // If we can't get mut, it means it's shared. - // We can clone-on-write? But MetaSignature is a trait object, so we can't easily clone it unless we implement Clone for Box. - // However, we changed it to Arc. - // If we are running optimization, we probably shouldn't be tracing or the graph is already built. - // For now, let's error or assume we can clone if we had a way. - // But actually, we can't clone `dyn MetaSignature` easily without more boilerplate. - // Let's assume unique ownership for optimization. - anyhow::bail!( - "Cannot update signature instruction: Signature is shared (Arc has multiple strong references)" - ) - } - } -} diff --git a/crates/dspy-rs/tests/test_adapters.rs b/crates/dspy-rs/tests/test_adapters.rs index 8835505d..997f0b1f 100644 --- a/crates/dspy-rs/tests/test_adapters.rs +++ b/crates/dspy-rs/tests/test_adapters.rs @@ -1,616 +1,65 @@ -#![allow(deprecated)] +use dspy_rs::{ChatAdapter, Message, Signature}; -use schemars::JsonSchema; -use std::sync::Arc; -use tokio::sync::Mutex; - -use dspy_rs::{ - Cache, Chat, ChatAdapter, DummyLM, Example, LegacySignature, Message, MetaSignature, - adapter::Adapter, example, hashmap, -}; - -#[LegacySignature] +#[derive(Signature, Clone, Debug, PartialEq)] struct BasicSignature { #[input] - pub problem: String, - #[output] - pub answer: String, -} - -#[LegacySignature] -struct NumericSignature { - #[input] - pub problem: String, - #[output] - pub answer: i32, -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter() { - let signature = BasicSignature::new(); - - let lm = DummyLM::default(); - let adapter = ChatAdapter; - - let messages: Chat = adapter.format( - &signature, - Example::new( - hashmap! { - "problem".to_string() => "What is the capital of France?".to_string().into(), - "answer".to_string() => "Paris".to_string().into(), - }, - vec!["problem".to_string()], - vec!["answer".to_string()], - ), - ); - - let json_value = messages.to_json(); - let json = json_value.as_array().unwrap(); - - assert_eq!(messages.len(), 2); - assert_eq!(json[0]["role"], "system"); - assert_eq!(json[1]["role"], "user"); - - assert_eq!( - json[0]["content"], - "Your input fields are:\n1. `problem` (String)\n\nYour output fields are:\n1. `answer` (String)\n\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## problem ## ]]\nproblem\n\n[[ ## answer ## ]]\nanswer\n\n[[ ## completed ## ]]\n\nIn adhering to this structure, your objective is: \n Given the fields `problem`, produce the fields `answer`." - ); - assert_eq!( - json[1]["content"], - "[[ ## problem ## ]]\nWhat is the capital of France?\n\nRespond with the corresponding output fields, starting with the field `[[ ## answer ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`.".to_string() - ); - - let test_example = example! { - "problem": "input" => "What is the capital of France?", - "answer": "output" => "Paris" - }; - let response = lm - .call( - test_example, - Chat::new(vec![ - Message::system("You are a helpful assistant."), - Message::user("Hello, world!"), - ]), - "[[ ## answer ## ]]\n150 degrees\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - let output = adapter.parse_response(&signature, response.output); - - assert_eq!(output.len(), 1); - assert_eq!(output.get("answer").unwrap(), "150 degrees"); -} - -#[allow(dead_code)] -#[LegacySignature(cot, hint)] -struct TestSignature { - ///You are a helpful assistant that can answer questions. You will be given a problem and a hint. You will need to use the hint to answer the problem. You will then need to provide the reasoning and the answer. - - #[input] - pub problem: String, - #[output] - pub answer: String, -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_with_multiple_fields() { - let signature = TestSignature::new(); - - let lm = DummyLM::default(); - let adapter = ChatAdapter; - - let messages: Chat = adapter.format( - &signature, - Example::new( - hashmap! { - "problem".to_string() => "What is the capital of France?".to_string().into(), - "hint".to_string() => "The capital of France is Paris.".to_string().into(), - }, - vec!["problem".to_string(), "hint".to_string()], - vec!["reasoning".to_string(), "answer".to_string()], - ), - ); - - let json_value = messages.to_json(); - let json = json_value.as_array().unwrap(); - - assert_eq!(messages.len(), 2); - assert_eq!(json[0]["role"], "system"); - assert_eq!(json[1]["role"], "user"); - - assert_eq!( - json[0]["content"], - "Your input fields are:\n1. `problem` (String)\n2. `hint` (String): Hint for the query\n\nYour output fields are:\n1. `reasoning` (String): Think step by step\n2. `answer` (String)\n\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## problem ## ]]\nproblem\n\n[[ ## hint ## ]]\nhint\n\n[[ ## reasoning ## ]]\nreasoning\n\n[[ ## answer ## ]]\nanswer\n\n[[ ## completed ## ]]\n\nIn adhering to this structure, your objective is: \n You are a helpful assistant that can answer questions. You will be given a problem and a hint. You will need to use the hint to answer the problem. You will then need to provide the reasoning and the answer.".to_string() - ); - assert_eq!( - json[1]["content"], - "[[ ## problem ## ]]\nWhat is the capital of France?\n\n[[ ## hint ## ]]\nThe capital of France is Paris.\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## answer ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`." - ); - - let test_example = example! { - "problem": "input" => "What is the capital of France?", - "hint": "output" => "The capital of France is Paris.", - "reasoning": "output" => "The capital of France is Paris.", - "answer": "output" => "Paris" - }; - - let response = lm - .call( - test_example, - Chat::new(vec![ - Message::system("You are a helpful assistant."), - Message::user("Hello, world!"), - ]), - "[[ ## reasoning ## ]]\nThe capital of France is Paris.\n\n[[ ## answer ## ]]\nParis\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - let output = adapter.parse_response(&signature, response.output); + problem: String, - assert_eq!(output.len(), 2); - assert_eq!( - output.get("reasoning").unwrap(), - "The capital of France is Paris." - ); - assert_eq!(output.get("answer").unwrap(), "Paris"); -} - -#[allow(dead_code)] -#[derive(JsonSchema)] -struct TestOutput { - pub reasoning: String, - pub rating: i8, -} - -#[allow(dead_code)] -#[LegacySignature] -struct TestSignature2 { - #[input] - pub problem: String, - #[input] - pub hint: i8, #[output] - pub output: TestOutput, + answer: String, } -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_with_multiple_fields_and_output_schema() { - let signature = TestSignature2::new(); - - let lm = DummyLM::default(); - let adapter = ChatAdapter; - - let messages: Chat = adapter.format( - &signature, - Example::new( - hashmap! { - "problem".to_string() => "What is the capital of France?".to_string().into(), - "hint".to_string() => "The capital of France is Paris.".to_string().into(), - }, - vec!["problem".to_string(), "hint".to_string()], - vec!["output".to_string()], - ), - ); - - let json_value = messages.to_json(); - let json = json_value.as_array().unwrap(); - - assert_eq!(messages.len(), 2); - assert_eq!(json[0]["role"], "system"); - assert_eq!(json[1]["role"], "user"); - - assert_eq!( - json[0]["content"], - "Your input fields are:\n1. `problem` (String)\n2. `hint` (i8)\n\nYour output fields are:\n1. `output` (TestOutput)\n\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## problem ## ]]\nproblem\n\n[[ ## hint ## ]]\nhint\t# note: the value you produce must be a single i8 value\n\n[[ ## output ## ]]\noutput\t# note: the value you produce must adhere to the JSON schema: {\"reasoning\":{\"type\":\"string\"},\"rating\":{\"type\":\"integer\",\"format\":\"int8\",\"minimum\":-128,\"maximum\":127}}\n\n[[ ## completed ## ]]\n\nIn adhering to this structure, your objective is: \n Given the fields `problem`, `hint`, produce the fields `output`.".to_string() - ); - assert_eq!( - json[1]["content"], - "[[ ## problem ## ]]\nWhat is the capital of France?\n\n[[ ## hint ## ]]\nThe capital of France is Paris.\n\nRespond with the corresponding output fields, starting with the field `[[ ## output ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`." - ); - - let test_example = example! { - "problem": "input" => "What is the capital of France?", - "hint": "output" => "The capital of France is Paris.", - "output": "output" => "{\"reasoning\": \"The capital of France is Paris.\", \"rating\": 5}" - }; - - let response = lm - .call( - test_example, - Chat::new(vec![ - Message::system("You are a helpful assistant."), - Message::user("Hello, world!"), - ]), - "[[ ## output ## ]]\n{\"reasoning\": \"The capital of France is Paris.\", \"rating\": 5}\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - let output = adapter.parse_response(&signature, response.output); - - assert_eq!(output.len(), 1); - - let parsed_output: serde_json::Value = - serde_json::from_str("{\"reasoning\": \"The capital of France is Paris.\", \"rating\": 5}") - .unwrap(); - assert_eq!( - output.get("output").unwrap()["reasoning"], - parsed_output["reasoning"] - ); - assert_eq!( - output.get("output").unwrap()["rating"], - parsed_output["rating"] - ); -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_with_demos() { - let mut signature = BasicSignature::new(); - - let adapter = ChatAdapter; - - // Create demo examples - let demo1 = Example::new( - hashmap! { - "problem".to_string() => "What is 2 + 2?".to_string().into(), - "answer".to_string() => "4".to_string().into(), - }, - vec!["problem".to_string()], - vec!["answer".to_string()], - ); - - let demo2 = Example::new( - hashmap! { - "problem".to_string() => "What is the largest planet?".to_string().into(), - "answer".to_string() => "Jupiter".to_string().into(), - }, - vec!["problem".to_string()], - vec!["answer".to_string()], - ); - - signature.set_demos(vec![demo1, demo2]).unwrap(); - - let current_input = Example::new( - hashmap! { - "problem".to_string() => "What is the capital of France?".to_string().into(), - }, - vec!["problem".to_string()], - vec!["answer".to_string()], - ); - - let messages: Chat = adapter.format(&signature, current_input); - - let json_value = messages.to_json(); - let json = json_value.as_array().unwrap(); - - // Should have system message + 2 demo pairs (user + assistant) + current user message - assert_eq!(messages.len(), 6); - assert_eq!(json[0]["role"], "system"); - assert_eq!(json[1]["role"], "user"); - assert_eq!(json[2]["role"], "assistant"); - assert_eq!(json[3]["role"], "user"); - assert_eq!(json[4]["role"], "assistant"); - assert_eq!(json[5]["role"], "user"); - - // Check demo 1 formatting - assert!( - json[1]["content"] - .as_str() - .unwrap() - .contains("[[ ## problem ## ]]\nWhat is 2 + 2?") - ); - assert!( - json[2]["content"] - .as_str() - .unwrap() - .contains("[[ ## answer ## ]]\n4") - ); - assert!( - json[2]["content"] - .as_str() - .unwrap() - .contains("[[ ## completed ## ]]") - ); - - // Check demo 2 formatting - assert!( - json[3]["content"] - .as_str() - .unwrap() - .contains("[[ ## problem ## ]]\nWhat is the largest planet?") - ); - assert!( - json[4]["content"] - .as_str() - .unwrap() - .contains("[[ ## answer ## ]]\nJupiter") - ); - assert!( - json[4]["content"] - .as_str() - .unwrap() - .contains("[[ ## completed ## ]]") - ); - - // Check current input formatting - assert!( - json[5]["content"] - .as_str() - .unwrap() - .contains("[[ ## problem ## ]]\nWhat is the capital of France?") - ); - assert!( - json[5]["content"] - .as_str() - .unwrap() - .contains("Respond with the corresponding output fields") - ); -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_with_empty_demos() { - let mut signature = BasicSignature::new(); - +#[test] +fn chat_adapter_formats_typed_system_prompt() { let adapter = ChatAdapter; + let system = adapter + .format_system_message_typed::() + .expect("system prompt should format"); - let current_input = Example::new( - hashmap! { - "problem".to_string() => "What is the capital of France?".to_string().into(), - }, - vec!["problem".to_string()], - vec!["answer".to_string()], - ); - signature.set_demos(vec![]).unwrap(); - - let messages: Chat = adapter.format(&signature, current_input); - - let json_value = messages.to_json(); - let json = json_value.as_array().unwrap(); - - // Should only have system message + current user message (no demos) - assert_eq!(messages.len(), 2); - assert_eq!(json[0]["role"], "system"); - assert_eq!(json[1]["role"], "user"); - - // Check current input formatting - assert!( - json[1]["content"] - .as_str() - .unwrap() - .contains("[[ ## problem ## ]]\nWhat is the capital of France?") - ); + assert!(system.contains("Your input fields are:")); + assert!(system.contains("`problem`")); + assert!(system.contains("Your output fields are:")); + assert!(system.contains("`answer`")); + assert!(system.contains("[[ ## completed ## ]]")); } -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_demo_format_multiple_fields() { - let mut signature = TestSignature::new(); - +#[test] +fn chat_adapter_formats_user_and_assistant_messages() { let adapter = ChatAdapter; - let demo = Example::new( - hashmap! { - "problem".to_string() => "What is 5 * 6?".to_string().into(), - "hint".to_string() => "Think about multiplication".to_string().into(), - "reasoning".to_string() => "5 multiplied by 6 equals 30".to_string().into(), - "answer".to_string() => "30".to_string().into(), - }, - vec!["problem".to_string(), "hint".to_string()], - vec!["reasoning".to_string(), "answer".to_string()], - ); - - signature.set_demos(vec![demo]).unwrap(); - - let current_input = Example::new( - hashmap! { - "problem".to_string() => "What is 3 + 7?".to_string().into(), - "hint".to_string() => "Simple addition".to_string().into(), - }, - vec!["problem".to_string(), "hint".to_string()], - vec!["reasoning".to_string(), "answer".to_string()], - ); + let user = adapter.format_user_message_typed::(&BasicSignatureInput { + problem: "What is the capital of France?".to_string(), + }); + let assistant = adapter.format_assistant_message_typed::(&BasicSignatureOutput { + answer: "Paris".to_string(), + }); - let messages: Chat = adapter.format(&signature, current_input); + assert!(user.contains("[[ ## problem ## ]]")); + assert!(user.contains("What is the capital of France?")); - let json_value = messages.to_json(); - let json = json_value.as_array().unwrap(); - - // Should have system + demo user + demo assistant + current user - assert_eq!(messages.len(), 4); - - // Check demo user message contains both input fields - assert!( - json[1]["content"] - .as_str() - .unwrap() - .contains("[[ ## problem ## ]]\nWhat is 5 * 6?") - ); - assert!( - json[1]["content"] - .as_str() - .unwrap() - .contains("[[ ## hint ## ]]\nThink about multiplication") - ); - - // Check demo assistant message contains both output fields and completion marker - assert!( - json[2]["content"] - .as_str() - .unwrap() - .contains("[[ ## reasoning ## ]]\n5 multiplied by 6 equals 30") - ); - assert!( - json[2]["content"] - .as_str() - .unwrap() - .contains("[[ ## answer ## ]]\n30") - ); - assert!( - json[2]["content"] - .as_str() - .unwrap() - .contains("[[ ## completed ## ]]") - ); -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_with_cache_hit() { - let dummy_lm = DummyLM::default(); - - // Create test input example - let input = example! { - "question": "input" => "What is 2 + 2?", - }; - - // Create chat messages - let chat = Chat::new(vec![ - Message::system("You are a helpful assistant."), - Message::user("What is 2 + 2?"), - ]); - - // First call - will cache the result - let response1 = dummy_lm - .call( - input.clone(), - chat.clone(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - - // Second call with same input - should use cached result internally - let response2 = dummy_lm - .call( - input.clone(), - chat.clone(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - - // Both responses should be identical - assert_eq!(response1.output.content(), response2.output.content()); - assert_eq!( - response1.output.content(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]" - ); -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_cache_miss_different_inputs() { - // Create DummyLM with cache enabled - - let cache_handler = Arc::new(Mutex::new(Cache::new().await)); - let dummy_lm = DummyLM::builder() - .cache_handler(cache_handler) - .api_key("test_key".to_string()) - .build(); - - // First input - let input1 = example! { - "question": "input" => "What is 2 + 2?", - }; - - // Second (different) input - let input2 = example! { - "question": "input" => "What is 3 + 3?", - }; - - let chat = Chat::new(vec![ - Message::system("You are a helpful assistant."), - Message::user("Calculate the sum."), - ]); - - // Call with first input - let response1 = dummy_lm - .call( - input1.clone(), - chat.clone(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - - // Call with second input (different input, should not hit cache) - let response2 = dummy_lm - .call( - input2.clone(), - chat.clone(), - "[[ ## answer ## ]]\n6\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - - // Different inputs should produce different responses - assert_eq!( - response1.output.content(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]" - ); - assert_eq!( - response2.output.content(), - "[[ ## answer ## ]]\n6\n\n[[ ## completed ## ]]" - ); - assert_ne!(response1.output.content(), response2.output.content()); -} - -#[tokio::test] -#[cfg_attr(miri, ignore)] -async fn test_chat_adapter_cache_disabled() { - // Create DummyLM with cache disabled - let dummy_lm = DummyLM::default(); - - // Create test input - let input = example! { - "question": "input" => "What is 2 + 2?", - }; - - let chat = Chat::new(vec![ - Message::system("You are a helpful assistant."), - Message::user("What is 2 + 2?"), - ]); - - // Call without cache - should work normally - let response = dummy_lm - .call( - input.clone(), - chat.clone(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]".to_string(), - ) - .await - .unwrap(); - - assert_eq!( - response.output.content(), - "[[ ## answer ## ]]\n4\n\n[[ ## completed ## ]]" - ); - - // Verify cache handler is None when cache is disabled - assert!(dummy_lm.cache_handler.is_none()); + assert!(assistant.contains("[[ ## answer ## ]]")); + assert!(assistant.contains("Paris")); + assert!(assistant.contains("[[ ## completed ## ]]")); } #[test] -#[should_panic(expected = "legacy parse failed")] -fn test_chat_adapter_parse_response_panics_on_invalid_json_for_non_string_output() { - let signature = NumericSignature::new(); +fn chat_adapter_parses_typed_response() { let adapter = ChatAdapter; + let response = Message::assistant("[[ ## answer ## ]]\nParis\n\n[[ ## completed ## ]]"); + + let (output, field_meta) = adapter + .parse_response_typed::(&response) + .expect("typed response should parse"); - let response = - Message::assistant("[[ ## answer ## ]]\nnot-a-json-number\n\n[[ ## completed ## ]]"); - let _ = adapter.parse_response(&signature, response); + assert_eq!(output.answer, "Paris"); + assert_eq!(field_meta.get("answer").map(|meta| meta.raw_text.as_str()), Some("Paris")); } #[test] -#[should_panic(expected = "legacy parse failed")] -fn test_chat_adapter_parse_response_panics_on_missing_required_field() { - let signature = BasicSignature::new(); - let adapter = ChatAdapter; +fn parse_sections_accepts_non_word_field_names() { + let sections = ChatAdapter::parse_sections( + "[[ ## detail.note ## ]]\nhello\n\n[[ ## completed ## ]]\n", + ); - let response = Message::assistant("[[ ## completed ## ]]"); - let _ = adapter.parse_response(&signature, response); + assert_eq!(sections.get("detail.note").map(String::as_str), Some("hello")); } diff --git a/crates/dspy-rs/tests/test_call_outcome.rs b/crates/dspy-rs/tests/test_call_outcome.rs index e6b52f70..ee8183c1 100644 --- a/crates/dspy-rs/tests/test_call_outcome.rs +++ b/crates/dspy-rs/tests/test_call_outcome.rs @@ -67,3 +67,46 @@ fn predicted_exposes_field_metadata() { let output = predicted.into_inner(); assert_eq!(output, "Paris"); } + +#[test] +fn call_metadata_tracks_failed_checks_and_field_name_order() { + let mut field_meta = IndexMap::new(); + field_meta.insert( + "reasoning".to_string(), + FieldMeta { + raw_text: "Because...".to_string(), + flags: Vec::new(), + checks: vec![ConstraintResult { + label: "non_empty".to_string(), + expression: "this.len() > 0".to_string(), + passed: true, + }], + }, + ); + field_meta.insert( + "answer".to_string(), + FieldMeta { + raw_text: "".to_string(), + flags: Vec::new(), + checks: vec![ConstraintResult { + label: "non_empty".to_string(), + expression: "this.len() > 0".to_string(), + passed: false, + }], + }, + ); + + let metadata = CallMetadata::new( + "raw".to_string(), + LmUsage::default(), + Vec::new(), + Vec::new(), + None, + field_meta, + ); + + let names = metadata.field_names().collect::>(); + assert_eq!(names, vec!["reasoning", "answer"]); + assert!(metadata.has_failed_checks()); + assert_eq!(metadata.field_raw("answer"), Some("")); +} diff --git a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs index 52023910..e8e6b214 100644 --- a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs +++ b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs @@ -1,6 +1,6 @@ use dspy_rs::{ - ChainOfThought, ChatAdapter, LM, LMClient, Module, Optimizable, Predict, Reasoning, Signature, - TestCompletionModel, WithReasoning, configure, + ChainOfThought, ChatAdapter, LM, LMClient, Module, Predict, Reasoning, Signature, + TestCompletionModel, WithReasoning, configure, named_parameters, }; use rig::completion::AssistantContent; use rig::message::Text; @@ -40,7 +40,8 @@ async fn configure_test_lm(responses: Vec) { configure(lm, ChatAdapter {}); } -#[derive(Signature, Clone, Debug, PartialEq)] +#[derive(Signature, Clone, Debug, PartialEq, dspy_rs::__macro_support::bamltype::facet::Facet)] +#[facet(crate = dspy_rs::__macro_support::bamltype::facet)] struct QA { #[input] question: String, @@ -77,22 +78,13 @@ async fn chain_of_thought_swaps_and_returns_with_reasoning() { } #[test] -fn chain_of_thought_parameters_expose_predictor_for_legacy_optimizers() { +fn chain_of_thought_named_parameters_exposes_predictor() { let mut cot = ChainOfThought::::new(); - let mut params = cot.parameters(); + let mut params = named_parameters(&mut cot).expect("walker should expose predictor"); - let names: Vec = params.keys().cloned().collect(); - assert_eq!(names, vec!["predictor".to_string()]); + assert_eq!(params.len(), 1); + assert_eq!(params[0].0, "predictor".to_string()); - let predictor = params - .get_mut("predictor") - .expect("ChainOfThought parameters should expose wrapped predictor"); - predictor - .update_signature_instruction("updated instruction".to_string()) - .unwrap(); - - assert_eq!( - predictor.get_signature().instruction(), - "updated instruction" - ); + params[0].1.set_instruction("updated instruction".to_string()); + assert_eq!(params[0].1.instruction(), "updated instruction"); } diff --git a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs index 65a0dd74..22914431 100644 --- a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs +++ b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs @@ -2,8 +2,8 @@ use std::sync::LazyLock; use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ - BamlType, ChatAdapter, LM, LMClient, Predict, Signature, TestCompletionModel, configure, - named_parameters, + BamlType, BamlValue, ChatAdapter, LM, LMClient, Predict, PredictError, Signature, + TestCompletionModel, configure, named_parameters, }; use rig::completion::AssistantContent; use rig::message::Text; @@ -58,6 +58,26 @@ struct Wrapper { predictor: Predict, } +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QAWithConfidence { + #[input] + question: String, + + #[output] + answer: String, + + #[output] + #[check("this >= 0.0 and this <= 1.0", label = "valid_confidence")] + confidence: f32, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct ConfidenceWrapper { + predictor: Predict, +} + #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] #[tokio::test] async fn dyn_predictor_forward_untyped_returns_baml_and_metadata() { @@ -99,3 +119,75 @@ async fn dyn_predictor_forward_untyped_returns_baml_and_metadata() { assert!(!untyped_meta.raw_response.is_empty()); assert_eq!(untyped_meta.raw_response, typed_meta.raw_response); } + +#[tokio::test] +async fn dyn_predictor_forward_untyped_reports_conversion_error_with_original_payload() { + let predictor = Predict::::new(); + let input = BamlValue::Int(42); + + let err = predictor + .forward_untyped(input.clone()) + .await + .expect_err("invalid untyped input should fail before LM call"); + + match err { + PredictError::Conversion { parsed, .. } => assert_eq!(parsed, input), + other => panic!("expected PredictError::Conversion, got {other:?}"), + } +} + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn dyn_predictor_forward_untyped_preserves_field_metadata_and_checks() { + let _lock = SETTINGS_LOCK.lock().await; + let response = response_with_fields(&[("answer", "Paris"), ("confidence", "1.5")]); + configure_test_lm(vec![response.clone(), response]).await; + + let mut module = ConfidenceWrapper { + predictor: Predict::::new(), + }; + let typed_input = QAWithConfidenceInput { + question: "What is the capital of France?".to_string(), + }; + + let untyped = { + let mut params = named_parameters(&mut module).expect("walker should find predictor"); + let (_, predictor) = params + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should exist"); + predictor + .forward_untyped(typed_input.to_baml_value()) + .await + .expect("untyped call should succeed") + }; + let typed = module + .predictor + .call(typed_input) + .await + .expect("typed call should succeed"); + + let (_, untyped_meta) = untyped.into_parts(); + let (_, typed_meta) = typed.into_parts(); + + assert_eq!(untyped_meta.raw_response, typed_meta.raw_response); + assert_eq!(untyped_meta.field_raw("answer"), typed_meta.field_raw("answer")); + assert_eq!( + untyped_meta.field_raw("confidence"), + typed_meta.field_raw("confidence") + ); + assert_eq!( + untyped_meta.has_failed_checks(), + typed_meta.has_failed_checks() + ); + + let untyped_checks = untyped_meta.field_checks("confidence"); + let typed_checks = typed_meta.field_checks("confidence"); + assert_eq!(untyped_checks.len(), typed_checks.len()); + assert!( + untyped_checks + .iter() + .zip(typed_checks.iter()) + .all(|(left, right)| left.label == right.label && left.passed == right.passed) + ); +} diff --git a/crates/dspy-rs/tests/test_example.rs b/crates/dspy-rs/tests/test_example.rs index 3f2e39dc..439ce535 100644 --- a/crates/dspy-rs/tests/test_example.rs +++ b/crates/dspy-rs/tests/test_example.rs @@ -1,8 +1,6 @@ -#![allow(deprecated)] - use dspy_rs::data::example::Example; use dspy_rs::data::serialize::{load_jsonl, save_examples_as_jsonl}; -use dspy_rs::{example, hashmap}; +use dspy_rs::hashmap; use rstest::*; #[rstest] @@ -156,25 +154,15 @@ fn test_serialize() { } #[rstest] -fn test_example_macro() { - let example = example! { - "question": "input" => "What is the capital of France?", - "answer": "output" => "Paris" - }; - assert_eq!( - example.data, +fn test_example_new_with_input_and_output_keys() { + let example = Example::new( hashmap! { "question".to_string() => "What is the capital of France?".to_string().into(), "answer".to_string() => "Paris".to_string().into(), - } + }, + vec!["question".to_string()], + vec!["answer".to_string()], ); - - let example = example! { - "question": "input" => "What is the capital of France?", - "answer": "output" => "Paris" - }; - assert_eq!(example.input_keys, vec!["question".to_string()]); - assert_eq!(example.output_keys, vec!["answer".to_string()]); assert_eq!( example.data, hashmap! { @@ -182,4 +170,6 @@ fn test_example_macro() { "answer".to_string() => "Paris".to_string().into(), } ); + assert_eq!(example.input_keys, vec!["question".to_string()]); + assert_eq!(example.output_keys, vec!["answer".to_string()]); } diff --git a/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs b/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs new file mode 100644 index 00000000..2a77389b --- /dev/null +++ b/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs @@ -0,0 +1,350 @@ +use anyhow::Result; +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + CallMetadata, DynPredictor, Example, FeedbackMetric, GEPA, MetricOutcome, Module, Optimizer, + Predict, PredictError, Predicted, Signature, TypedMetric, +}; +use serde_json::json; +use std::collections::HashMap; +use std::sync::atomic::{AtomicUsize, Ordering}; +use std::sync::{Arc, Mutex}; + +#[derive(Signature, Clone, Debug)] +struct OptimizerSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct InstructionEchoModule { + predictor: Predict, +} + +impl Module for InstructionEchoModule { + type Input = OptimizerSigInput; + type Output = OptimizerSigOutput; + + async fn forward( + &self, + _input: OptimizerSigInput, + ) -> Result, PredictError> { + let answer = as DynPredictor>::instruction(&self.predictor); + Ok(Predicted::new( + OptimizerSigOutput { answer }, + CallMetadata::default(), + )) + } +} + +struct FeedbackMetricImpl; + +impl TypedMetric for FeedbackMetricImpl { + async fn evaluate( + &self, + _example: &Example, + prediction: &Predicted, + ) -> Result { + let score = prediction.answer.len() as f32; + Ok(MetricOutcome::with_feedback( + score, + FeedbackMetric::new(score, format!("answer={}", prediction.answer)), + )) + } +} + +struct ScoreOnlyMetric; + +impl TypedMetric for ScoreOnlyMetric { + async fn evaluate( + &self, + _example: &Example, + prediction: &Predicted, + ) -> Result { + Ok(MetricOutcome::score(prediction.answer.len() as f32)) + } +} + +struct PartialFeedbackMetric; + +impl TypedMetric for PartialFeedbackMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let score = prediction.answer.len() as f32; + let prompt = example + .data + .get("prompt") + .and_then(|value| value.as_str()) + .unwrap_or_default(); + + if prompt == "one" { + Ok(MetricOutcome::with_feedback( + score, + FeedbackMetric::new(score, "only first example has feedback"), + )) + } else { + Ok(MetricOutcome::score(score)) + } + } +} + +struct FeedbackThenScoreMetric { + feedback_calls: usize, + calls: AtomicUsize, +} + +impl FeedbackThenScoreMetric { + fn new(feedback_calls: usize) -> Self { + Self { + feedback_calls, + calls: AtomicUsize::new(0), + } + } +} + +impl TypedMetric for FeedbackThenScoreMetric { + async fn evaluate( + &self, + _example: &Example, + prediction: &Predicted, + ) -> Result { + let call_index = self.calls.fetch_add(1, Ordering::SeqCst); + let score = prediction.answer.len() as f32; + if call_index < self.feedback_calls { + Ok(MetricOutcome::with_feedback( + score, + FeedbackMetric::new(score, format!("call={call_index}: feedback")), + )) + } else { + Ok(MetricOutcome::score(score)) + } + } +} + +struct RecordingFeedbackMetric { + seen_prompts: Arc>>, +} + +impl TypedMetric for RecordingFeedbackMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let prompt = example + .data + .get("prompt") + .and_then(|value| value.as_str()) + .unwrap_or_default() + .to_string(); + self.seen_prompts + .lock() + .expect("metric lock should not be poisoned") + .push(prompt.clone()); + + let score = if prompt == "val-only" { + prediction.answer.len() as f32 + 100.0 + } else { + prediction.answer.len() as f32 + }; + Ok(MetricOutcome::with_feedback( + score, + FeedbackMetric::new(score, format!("prompt={prompt}")), + )) + } +} + +fn trainset() -> Vec { + vec![ + Example::new( + HashMap::from([("prompt".to_string(), json!("one"))]), + vec!["prompt".to_string()], + vec![], + ), + Example::new( + HashMap::from([("prompt".to_string(), json!("two"))]), + vec!["prompt".to_string()], + vec![], + ), + ] +} + +fn trainset_with_invalid_input_keys() -> Vec { + vec![Example::new( + HashMap::from([ + ("prompt".to_string(), json!("one")), + ("wrong_input".to_string(), json!("unused")), + ]), + vec!["wrong_input".to_string()], + vec![], + )] +} + +fn valset_for_gepa() -> Vec { + vec![Example::new( + HashMap::from([("prompt".to_string(), json!("val-only"))]), + vec!["prompt".to_string()], + vec![], + )] +} + +#[tokio::test] +async fn gepa_compile_succeeds_when_feedback_present() { + let metric = FeedbackMetricImpl; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(2) + .minibatch_size(2) + .track_stats(true) + .build(); + + let result = optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect("GEPA compile should succeed when feedback is present"); + + assert!(result.total_rollouts > 0); + assert_eq!(result.best_candidate.module_name, "predictor"); +} + +#[tokio::test] +async fn gepa_compile_fails_without_feedback() { + let metric = ScoreOnlyMetric; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(1) + .minibatch_size(2) + .build(); + + let err = optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect_err("GEPA should reject score-only metrics"); + + assert!(err + .to_string() + .contains("GEPA requires feedback for every evaluated example")); +} + +#[tokio::test] +async fn gepa_compile_fails_when_feedback_is_partial() { + let metric = PartialFeedbackMetric; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(1) + .minibatch_size(2) + .build(); + + let err = optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect_err("GEPA should reject partially-populated feedback outcomes"); + + let message = err.to_string(); + assert!(message.contains("GEPA requires feedback for every evaluated example")); + assert!(message.contains("module=`predictor`")); +} + +#[tokio::test] +async fn gepa_compile_respects_example_input_keys_for_typed_conversion() { + let metric = FeedbackMetricImpl; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(1) + .minibatch_size(1) + .build(); + + let err = optimizer + .compile(&mut module, trainset_with_invalid_input_keys(), &metric) + .await + .expect_err("compile should fail when input_keys omits required typed fields"); + + assert!( + err.to_string().contains("prompt"), + "error should mention missing required field: {err}" + ); +} + +#[tokio::test] +async fn gepa_compile_fails_when_feedback_disappears_during_generation() { + // Trainset has two examples and one predictor: + // calls 0-1: initial frontier seeding + // calls 2-3: parent minibatch in generation 0 + // call 4+: child eval in generation 1 should fail GEPA feedback gate. + let metric = FeedbackThenScoreMetric::new(4); + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(1) + .minibatch_size(2) + .track_stats(true) + .build(); + + let err = optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect_err("GEPA should fail once feedback becomes unavailable mid-loop"); + + let message = err.to_string(); + assert!(message.contains("GEPA requires feedback for every evaluated example")); + assert!(message.contains("generation=1"), "expected generation marker: {message}"); +} + +#[tokio::test] +async fn gepa_compile_uses_valset_and_tracks_best_outputs_when_enabled() { + let seen_prompts = Arc::new(Mutex::new(Vec::new())); + let metric = RecordingFeedbackMetric { + seen_prompts: Arc::clone(&seen_prompts), + }; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + let valset = valset_for_gepa(); + + let optimizer = GEPA::builder() + .num_iterations(0) + .minibatch_size(1) + .track_best_outputs(true) + .valset(valset.clone()) + .build(); + + let result = optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect("GEPA compile should succeed with a dedicated valset"); + + let seen = seen_prompts + .lock() + .expect("metric lock should not be poisoned") + .clone(); + assert_eq!(seen, vec!["val-only".to_string()]); + assert_eq!(result.highest_score_achieved_per_val_task.len(), valset.len()); + assert_eq!( + result + .best_outputs_valset + .as_ref() + .expect("best outputs should be captured when tracking is enabled") + .len(), + valset.len() + ); +} diff --git a/crates/dspy-rs/tests/test_miprov2.rs b/crates/dspy-rs/tests/test_miprov2.rs index da481c44..ee235432 100644 --- a/crates/dspy-rs/tests/test_miprov2.rs +++ b/crates/dspy-rs/tests/test_miprov2.rs @@ -1,43 +1,45 @@ -use dspy_rs::{Example, LmUsage, MIPROv2, Prediction, PromptCandidate, PromptingTips, Trace}; +use dspy_rs::{BamlValue, Example, MIPROv2, PromptCandidate, PromptingTips, Signature, Trace}; use rstest::*; -#[rstest] -fn test_trace_formatting() { - let inputs = Example::new( - [("question".to_string(), "What is 2+2?".into())].into(), +#[derive(Signature, Clone, Debug)] +struct TestSignature { + #[input] + question: String, + + #[output] + answer: String, +} + +fn example(question: &str) -> Example { + Example::new( + [("question".to_string(), question.into())].into(), vec!["question".to_string()], vec![], - ); + ) +} - let outputs = Prediction::new( - [("answer".to_string(), "4".into())].into(), - Default::default(), +#[rstest] +fn test_trace_formatting() { + let trace = Trace::new( + example("What is 2+2?"), + BamlValue::String("4".to_string()), + Some(1.0), ); - - let trace = Trace::new(inputs, outputs, Some(1.0)); let formatted = trace.format_for_prompt(); assert!(formatted.contains("question")); assert!(formatted.contains("What is 2+2?")); - assert!(formatted.contains("answer")); assert!(formatted.contains("4")); assert!(formatted.contains("Score: 1.000")); } #[rstest] fn test_trace_formatting_without_score() { - let inputs = Example::new( - [("input".to_string(), "test".into())].into(), - vec!["input".to_string()], - vec![], - ); - - let outputs = Prediction::new( - [("output".to_string(), "result".into())].into(), - LmUsage::default(), + let trace = Trace::new( + example("input"), + BamlValue::String("result".to_string()), + None, ); - - let trace = Trace::new(inputs, outputs, None); let formatted = trace.format_for_prompt(); assert!(formatted.contains("Input:")); @@ -45,54 +47,12 @@ fn test_trace_formatting_without_score() { assert!(!formatted.contains("Score:")); } -#[rstest] -fn test_trace_with_multiple_fields() { - let inputs = Example::new( - [ - ("field1".to_string(), "value1".into()), - ("field2".to_string(), "value2".into()), - ("field3".to_string(), "value3".into()), - ] - .into(), - vec![ - "field1".to_string(), - "field2".to_string(), - "field3".to_string(), - ], - vec![], - ); - - let outputs = Prediction::new( - [ - ("out1".to_string(), "res1".into()), - ("out2".to_string(), "res2".into()), - ] - .into(), - LmUsage::default(), - ); - - let trace = Trace::new(inputs, outputs, Some(0.75)); - let formatted = trace.format_for_prompt(); - - assert!(formatted.contains("field1")); - assert!(formatted.contains("field2")); - assert!(formatted.contains("field3")); - assert!(formatted.contains("out1")); - assert!(formatted.contains("out2")); - assert!(formatted.contains("Score: 0.750")); -} - #[rstest] fn test_prompting_tips_default() { let tips = PromptingTips::default_tips(); assert!(!tips.tips.is_empty()); - assert!(tips.tips.len() >= 15, "Should have at least 15 tips"); - - // Verify some expected tips are present - let tips_text = tips.tips.join(" "); - assert!(tips_text.contains("clear")); - assert!(tips_text.contains("chain-of-thought") || tips_text.contains("reasoning")); + assert!(tips.tips.len() >= 15); } #[rstest] @@ -100,44 +60,15 @@ fn test_prompting_tips_formatting() { let tips = PromptingTips::default_tips(); let formatted = tips.format_for_prompt(); - assert!(!formatted.is_empty()); assert!(formatted.contains("1.")); assert!(formatted.contains("\n")); - - // Check that all tips are numbered - for i in 1..=tips.tips.len() { - assert!(formatted.contains(&format!("{}.", i))); - } } -#[rstest] -fn test_prompting_tips_custom() { - let tips = PromptingTips { - tips: vec![ - "Tip one".to_string(), - "Tip two".to_string(), - "Tip three".to_string(), - ], - }; - - let formatted = tips.format_for_prompt(); - assert!(formatted.contains("1. Tip one")); - assert!(formatted.contains("2. Tip two")); - assert!(formatted.contains("3. Tip three")); -} - -// ======================================================================== -// PromptCandidate Tests -// ======================================================================== - #[rstest] fn test_prompt_candidate_creation() { - let instruction = "Test instruction".to_string(); - let demos = vec![Example::default()]; - - let candidate = PromptCandidate::new(instruction.clone(), demos.clone()); + let candidate = PromptCandidate::new("Test instruction".to_string(), vec![Example::default()]); - assert_eq!(candidate.instruction, instruction); + assert_eq!(candidate.instruction, "Test instruction"); assert_eq!(candidate.demos.len(), 1); assert_eq!(candidate.score, 0.0); } @@ -145,24 +76,9 @@ fn test_prompt_candidate_creation() { #[rstest] fn test_prompt_candidate_with_score() { let candidate = PromptCandidate::new("test".to_string(), vec![]).with_score(0.85); - assert_eq!(candidate.score, 0.85); - assert_eq!(candidate.instruction, "test"); -} - -#[rstest] -fn test_prompt_candidate_score_update() { - let candidate = PromptCandidate::new("test".to_string(), vec![]); - assert_eq!(candidate.score, 0.0); - - let updated = candidate.with_score(0.95); - assert_eq!(updated.score, 0.95); } -// ======================================================================== -// MIPROv2 Configuration Tests -// ======================================================================== - #[rstest] fn test_miprov2_default_configuration() { let optimizer = MIPROv2::builder().build(); @@ -174,379 +90,64 @@ fn test_miprov2_default_configuration() { assert_eq!(optimizer.minibatch_size, 25); assert_eq!(optimizer.temperature, 1.0); assert!(optimizer.track_stats); - assert!(optimizer.prompt_model.is_none()); -} - -#[rstest] -fn test_miprov2_custom_configuration() { - let optimizer = MIPROv2::builder() - .num_candidates(5) - .max_bootstrapped_demos(2) - .max_labeled_demos(4) - .num_trials(10) - .minibatch_size(15) - .temperature(0.7) - .track_stats(false) - .build(); - - assert_eq!(optimizer.num_candidates, 5); - assert_eq!(optimizer.max_bootstrapped_demos, 2); - assert_eq!(optimizer.max_labeled_demos, 4); - assert_eq!(optimizer.num_trials, 10); - assert_eq!(optimizer.minibatch_size, 15); - assert_eq!(optimizer.temperature, 0.7); - assert!(!optimizer.track_stats); } #[rstest] -fn test_miprov2_minimal_configuration() { - let optimizer = MIPROv2::builder() - .num_candidates(1) - .minibatch_size(1) - .build(); - - assert_eq!(optimizer.num_candidates, 1); - assert_eq!(optimizer.minibatch_size, 1); -} - -// ======================================================================== -// Trace Selection Tests -// ======================================================================== - -#[rstest] -fn test_select_best_traces_basic() { +fn test_select_best_traces_descending_order() { let optimizer = MIPROv2::builder().build(); let traces = vec![ - Trace::new(Example::default(), Prediction::default(), Some(0.5)), - Trace::new(Example::default(), Prediction::default(), Some(0.9)), - Trace::new(Example::default(), Prediction::default(), Some(0.3)), - Trace::new(Example::default(), Prediction::default(), Some(0.7)), + Trace::new(Example::default(), BamlValue::String("a".to_string()), Some(0.1)), + Trace::new(Example::default(), BamlValue::String("b".to_string()), Some(0.5)), + Trace::new(Example::default(), BamlValue::String("c".to_string()), Some(0.3)), ]; let best = optimizer.select_best_traces(&traces, 2); assert_eq!(best.len(), 2); - assert_eq!(best[0].score, Some(0.9)); - assert_eq!(best[1].score, Some(0.7)); -} - -#[rstest] -fn test_select_best_traces_more_than_available() { - let optimizer = MIPROv2::builder().build(); - - let traces = vec![ - Trace::new(Example::default(), Prediction::default(), Some(0.8)), - Trace::new(Example::default(), Prediction::default(), Some(0.6)), - ]; - - let best = optimizer.select_best_traces(&traces, 5); - assert_eq!(best.len(), 2, "Should return only available traces"); -} - -#[rstest] -fn test_select_best_traces_with_none_scores() { - let optimizer = MIPROv2::builder().build(); - - let traces = vec![ - Trace::new(Example::default(), Prediction::default(), Some(0.5)), - Trace::new(Example::default(), Prediction::default(), None), - Trace::new(Example::default(), Prediction::default(), Some(0.9)), - Trace::new(Example::default(), Prediction::default(), None), - ]; - - let best = optimizer.select_best_traces(&traces, 3); - assert_eq!(best.len(), 2, "Should only select traces with scores"); - assert!(best.iter().all(|t| t.score.is_some())); -} - -#[rstest] -fn test_select_best_traces_all_none_scores() { - let optimizer = MIPROv2::builder().build(); - - let traces = vec![ - Trace::new(Example::default(), Prediction::default(), None), - Trace::new(Example::default(), Prediction::default(), None), - ]; - - let best = optimizer.select_best_traces(&traces, 2); - assert_eq!(best.len(), 0, "Should return empty if no scores"); + assert_eq!(best[0].score, Some(0.5)); + assert_eq!(best[1].score, Some(0.3)); } #[rstest] -fn test_select_best_traces_equal_scores() { +fn test_select_best_traces_ignores_none_scores() { let optimizer = MIPROv2::builder().build(); let traces = vec![ - Trace::new(Example::default(), Prediction::default(), Some(0.5)), - Trace::new(Example::default(), Prediction::default(), Some(0.5)), - Trace::new(Example::default(), Prediction::default(), Some(0.5)), + Trace::new(Example::default(), BamlValue::String("a".to_string()), None), + Trace::new(Example::default(), BamlValue::String("b".to_string()), Some(0.8)), ]; let best = optimizer.select_best_traces(&traces, 2); - assert_eq!(best.len(), 2); - assert_eq!(best[0].score, Some(0.5)); - assert_eq!(best[1].score, Some(0.5)); -} - -#[rstest] -fn test_select_best_traces_zero_selection() { - let optimizer = MIPROv2::builder().build(); - - let traces = vec![Trace::new( - Example::default(), - Prediction::default(), - Some(0.8), - )]; - - let best = optimizer.select_best_traces(&traces, 0); - assert_eq!(best.len(), 0); -} - -#[rstest] -fn test_select_best_traces_single_trace() { - let optimizer = MIPROv2::builder().build(); - - let traces = vec![Trace::new( - Example::default(), - Prediction::default(), - Some(0.75), - )]; - - let best = optimizer.select_best_traces(&traces, 1); assert_eq!(best.len(), 1); - assert_eq!(best[0].score, Some(0.75)); + assert_eq!(best[0].score, Some(0.8)); } #[rstest] -fn test_select_best_traces_descending_order() { - let optimizer = MIPROv2::builder().build(); +fn test_create_prompt_candidates_uses_best_trace_examples() { + let optimizer = MIPROv2::builder().max_labeled_demos(1).build(); let traces = vec![ - Trace::new(Example::default(), Prediction::default(), Some(0.1)), - Trace::new(Example::default(), Prediction::default(), Some(0.2)), - Trace::new(Example::default(), Prediction::default(), Some(0.3)), - Trace::new(Example::default(), Prediction::default(), Some(0.4)), - Trace::new(Example::default(), Prediction::default(), Some(0.5)), + Trace::new(example("Q1"), BamlValue::String("A1".to_string()), Some(0.2)), + Trace::new(example("Q2"), BamlValue::String("A2".to_string()), Some(0.9)), ]; - let best = optimizer.select_best_traces(&traces, 3); - assert_eq!(best.len(), 3); - assert_eq!(best[0].score, Some(0.5)); - assert_eq!(best[1].score, Some(0.4)); - assert_eq!(best[2].score, Some(0.3)); -} - -// ======================================================================== -// Prompt Candidate Creation Tests -// ======================================================================== - -#[rstest] -fn test_create_prompt_candidates_basic() { - let optimizer = MIPROv2::builder().max_labeled_demos(2).build(); - - let traces = vec![ - Trace::new( - Example::new( - [("q".to_string(), "Q1".into())].into(), - vec!["q".to_string()], - vec![], - ), - Prediction::default(), - Some(0.8), - ), - Trace::new( - Example::new( - [("q".to_string(), "Q2".into())].into(), - vec!["q".to_string()], - vec![], - ), - Prediction::default(), - Some(0.9), - ), - ]; - - let instructions = vec!["Instruction 1".to_string(), "Instruction 2".to_string()]; - - let candidates = optimizer.create_prompt_candidates(instructions, &traces); + let candidates = optimizer.create_prompt_candidates( + vec!["instruction-1".to_string(), "instruction-2".to_string()], + &traces, + ); assert_eq!(candidates.len(), 2); - assert_eq!(candidates[0].instruction, "Instruction 1"); - assert_eq!(candidates[1].instruction, "Instruction 2"); - // Both should have the same demos (best from traces) - assert_eq!(candidates[0].demos.len(), 2); - assert_eq!(candidates[1].demos.len(), 2); -} - -#[rstest] -fn test_create_prompt_candidates_more_traces_than_max() { - let optimizer = MIPROv2::builder().max_labeled_demos(2).build(); - - let traces = vec![ - Trace::new(Example::default(), Prediction::default(), Some(0.5)), - Trace::new(Example::default(), Prediction::default(), Some(0.9)), - Trace::new(Example::default(), Prediction::default(), Some(0.3)), - Trace::new(Example::default(), Prediction::default(), Some(0.7)), - ]; - - let instructions = vec!["Test".to_string()]; - let candidates = optimizer.create_prompt_candidates(instructions, &traces); - - assert_eq!(candidates.len(), 1); - // Should only use max_labeled_demos (2) best traces - assert_eq!(candidates[0].demos.len(), 2); -} - -#[rstest] -fn test_create_prompt_candidates_empty_instructions() { - let optimizer = MIPROv2::builder().build(); - let traces = vec![Trace::new( - Example::default(), - Prediction::default(), - Some(0.8), - )]; - - let candidates = optimizer.create_prompt_candidates(vec![], &traces); - assert_eq!(candidates.len(), 0); -} - -#[rstest] -fn test_create_prompt_candidates_no_scored_traces() { - let optimizer = MIPROv2::builder().build(); - let traces = vec![ - Trace::new(Example::default(), Prediction::default(), None), - Trace::new(Example::default(), Prediction::default(), None), - ]; - - let instructions = vec!["Test".to_string()]; - let candidates = optimizer.create_prompt_candidates(instructions, &traces); - - assert_eq!(candidates.len(), 1); - assert_eq!(candidates[0].demos.len(), 0); -} - -// ======================================================================== -// Edge Case Tests -// ======================================================================== - -#[rstest] -fn test_trace_clone() { - let trace = Trace::new(Example::default(), Prediction::default(), Some(0.85)); - - let cloned = trace.clone(); - assert_eq!(cloned.score, Some(0.85)); -} - -#[rstest] -fn test_prompt_candidate_clone() { - let candidate = PromptCandidate::new("test instruction".to_string(), vec![Example::default()]); - - let cloned = candidate.clone(); - assert_eq!(cloned.instruction, "test instruction"); - assert_eq!(cloned.demos.len(), 1); + assert_eq!(candidates[0].demos.len(), 1); + assert_eq!(candidates[0].demos[0].data.get("question"), Some(&"Q2".into())); } #[rstest] -fn test_format_signature_fields_with_descriptions() { +fn test_format_schema_fields_reads_typed_schema() { let optimizer = MIPROv2::builder().build(); + let rendered = optimizer.format_schema_fields(TestSignature::schema()); - // This is a basic structural test - in real usage, this would be tested - // with actual signature implementations - // Here we're just verifying the method exists and returns a string - use dspy_rs::core::MetaSignature; - use serde_json::Value; - - struct TestSignature; - impl MetaSignature for TestSignature { - fn input_fields(&self) -> Value { - serde_json::json!({ - "question": { - "type": "String", - "desc": "The question to answer" - } - }) - } - - fn output_fields(&self) -> Value { - serde_json::json!({ - "answer": { - "type": "String", - "desc": "The answer to the question" - } - }) - } - - fn instruction(&self) -> String { - "Test instruction".to_string() - } - - fn update_instruction(&mut self, _instruction: String) -> anyhow::Result<()> { - Ok(()) - } - - fn set_demos(&mut self, _demos: Vec) -> anyhow::Result<()> { - Ok(()) - } - - fn demos(&self) -> Vec { - vec![] - } - - fn append(&mut self, _name: &str, _value: Value) -> anyhow::Result<()> { - Ok(()) - } - } - - let sig = TestSignature; - let formatted = optimizer.format_signature_fields(&sig); - - assert!(formatted.contains("Input Fields:")); - assert!(formatted.contains("Output Fields:")); - assert!(formatted.contains("question")); - assert!(formatted.contains("answer")); -} - -// ======================================================================== -// Property-based Tests -// ======================================================================== - -#[rstest] -fn test_select_best_traces_always_returns_requested_or_less() { - let optimizer = MIPROv2::builder().build(); - - for num_traces in 1..=10 { - for num_select in 0..=15 { - let traces: Vec = (0..num_traces) - .map(|i| { - Trace::new( - Example::default(), - Prediction::default(), - Some(i as f32 / 10.0), - ) - }) - .collect(); - - let selected = optimizer.select_best_traces(&traces, num_select); - assert!(selected.len() <= num_select); - assert!(selected.len() <= num_traces); - } - } -} - -#[rstest] -fn test_prompt_candidates_count_matches_instructions() { - let optimizer = MIPROv2::builder().build(); - let traces = vec![Trace::new( - Example::default(), - Prediction::default(), - Some(0.8), - )]; - - for num_instructions in 0..=10 { - let instructions: Vec = (0..num_instructions) - .map(|i| format!("Instruction {}", i)) - .collect(); - - let candidates = optimizer.create_prompt_candidates(instructions, &traces); - assert_eq!(candidates.len(), num_instructions); - } + assert!(rendered.contains("Input Fields:")); + assert!(rendered.contains("question")); + assert!(rendered.contains("Output Fields:")); + assert!(rendered.contains("answer")); } diff --git a/crates/dspy-rs/tests/test_module_facet_shapes.rs b/crates/dspy-rs/tests/test_module_facet_shapes.rs index 4fb1bc3d..33224c49 100644 --- a/crates/dspy-rs/tests/test_module_facet_shapes.rs +++ b/crates/dspy-rs/tests/test_module_facet_shapes.rs @@ -1,5 +1,5 @@ use dspy_rs::__macro_support::bamltype::facet::{self, Type, UserType}; -use dspy_rs::{ChainOfThought, Facet, ModuleExt, ReAct, Signature}; +use dspy_rs::{ChainOfThought, Facet, ModuleExt, PredictError, ReAct, Signature}; #[derive(Signature, Clone, Debug, facet::Facet)] #[facet(crate = facet)] @@ -45,6 +45,12 @@ fn drop_reasoning(output: dspy_rs::WithReasoning) -> QAOutput { output.inner } +fn drop_reasoning_checked( + output: dspy_rs::WithReasoning, +) -> Result { + Ok(output.inner) +} + #[test] fn chain_of_thought_shape_exposes_predictor_field() { let module = ChainOfThought::::new(); @@ -86,3 +92,18 @@ fn map_shape_exposes_inner_chain_of_thought_shape() { let nested_predictor = find_field(inner.shape(), "predictor"); assert_eq!(nested_predictor.shape().type_identifier, "Predict"); } + +#[test] +fn and_then_shape_exposes_inner_chain_of_thought_shape() { + let chained = ChainOfThought::::new().and_then( + drop_reasoning_checked as fn(dspy_rs::WithReasoning) -> Result, + ); + let and_then_shape = shape_of(&chained); + let inner = find_field(and_then_shape, "inner"); + + assert!(!inner.should_skip_deserializing()); + assert_eq!(inner.shape().type_identifier, "ChainOfThought"); + + let nested_predictor = find_field(inner.shape(), "predictor"); + assert_eq!(nested_predictor.shape().type_identifier, "Predict"); +} diff --git a/crates/dspy-rs/tests/test_named_parameters.rs b/crates/dspy-rs/tests/test_named_parameters.rs index 675e5dfd..93b442f1 100644 --- a/crates/dspy-rs/tests/test_named_parameters.rs +++ b/crates/dspy-rs/tests/test_named_parameters.rs @@ -140,3 +140,43 @@ fn named_parameters_multi_leaf_discovery_order_is_deterministic() { assert_eq!(names, expected); } } + +#[test] +fn named_parameters_dump_load_is_idempotent_across_multiple_roundtrips() { + let mut module = StateRoundtripModule { + predictor: Predict::::new(), + }; + + let first_dump = { + let mut params = named_parameters(&mut module).expect("walker should find predictor"); + let (_, predictor) = params + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should exist"); + predictor.set_instruction("first-pass".to_string()); + predictor + .set_demos_from_examples(vec![qa_demo("Q1", "A1"), qa_demo("Q2", "A2")]) + .expect("demo setup should succeed"); + predictor.dump_state() + }; + + let second_dump = { + let mut params = named_parameters(&mut module).expect("walker should find predictor"); + let (_, predictor) = params + .iter_mut() + .find(|(name, _)| name == "predictor") + .expect("predictor should exist"); + predictor + .load_state(first_dump.clone()) + .expect("loading first state should succeed"); + predictor.dump_state() + }; + + assert_eq!(second_dump.instruction_override, first_dump.instruction_override); + assert_eq!(second_dump.demos.len(), first_dump.demos.len()); + for (actual, expected) in second_dump.demos.iter().zip(first_dump.demos.iter()) { + assert_eq!(actual.data, expected.data); + assert_eq!(actual.input_keys, expected.input_keys); + assert_eq!(actual.output_keys, expected.output_keys); + } +} diff --git a/crates/dspy-rs/tests/test_named_parameters_containers.rs b/crates/dspy-rs/tests/test_named_parameters_containers.rs index ac618378..15f9f608 100644 --- a/crates/dspy-rs/tests/test_named_parameters_containers.rs +++ b/crates/dspy-rs/tests/test_named_parameters_containers.rs @@ -2,7 +2,7 @@ use std::collections::HashMap; use std::rc::Rc; use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{NamedParametersError, Predict, Signature, named_parameters, named_parameters_ref}; +use dspy_rs::{NamedParametersError, Predict as DsPredict, Signature, named_parameters, named_parameters_ref}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] @@ -17,33 +17,33 @@ struct QA { #[derive(facet::Facet)] #[facet(crate = facet)] struct ContainerModule { - maybe: Option>, - predictors: Vec>, - by_name: HashMap>, - boxed: Box>, + maybe: Option>, + predictors: Vec>, + by_name: HashMap>, + boxed: Box>, } #[derive(facet::Facet)] #[facet(crate = facet)] struct OptionalModule { - maybe: Option>, - fallback: Predict, + maybe: Option>, + fallback: DsPredict, } #[test] fn named_parameters_traverses_supported_containers_with_canonical_paths() { let mut module = ContainerModule { - maybe: Some(Predict::::new()), - predictors: vec![Predict::::new()], + maybe: Some(DsPredict::::new()), + predictors: vec![DsPredict::::new()], by_name: HashMap::from([ - ("z".to_string(), Predict::::new()), - ("a'b\\c\n".to_string(), Predict::::new()), - ("alpha".to_string(), Predict::::new()), + ("z".to_string(), DsPredict::::new()), + ("a'b\\c\n".to_string(), DsPredict::::new()), + ("alpha".to_string(), DsPredict::::new()), ]), - boxed: Box::new(Predict::::new()), + boxed: Box::new(DsPredict::::new()), }; - module.predictors.push(Predict::::new()); + module.predictors.push(DsPredict::::new()); let paths = named_parameters(&mut module) .expect("containers should be traversed") @@ -68,7 +68,7 @@ fn named_parameters_traverses_supported_containers_with_canonical_paths() { fn named_parameters_skips_none_option() { let mut module = OptionalModule { maybe: None, - fallback: Predict::::new(), + fallback: DsPredict::::new(), }; let paths = named_parameters(&mut module) @@ -82,13 +82,13 @@ fn named_parameters_skips_none_option() { #[test] fn named_parameters_ref_matches_mutable_with_containers() { let mut module = ContainerModule { - maybe: Some(Predict::::new()), - predictors: vec![Predict::::new(), Predict::::new()], + maybe: Some(DsPredict::::new()), + predictors: vec![DsPredict::::new(), DsPredict::::new()], by_name: HashMap::from([ - ("z".to_string(), Predict::::new()), - ("a".to_string(), Predict::::new()), + ("z".to_string(), DsPredict::::new()), + ("a".to_string(), DsPredict::::new()), ]), - boxed: Box::new(Predict::::new()), + boxed: Box::new(DsPredict::::new()), }; let mutable_paths = named_parameters(&mut module) @@ -105,16 +105,57 @@ fn named_parameters_ref_matches_mutable_with_containers() { assert_eq!(ref_paths, mutable_paths); } +#[test] +fn named_parameters_container_path_order_is_stable_across_mut_and_ref_runs() { + let mut module = ContainerModule { + maybe: Some(DsPredict::::new()), + predictors: vec![DsPredict::::new(), DsPredict::::new()], + by_name: HashMap::from([ + ("z".to_string(), DsPredict::::new()), + ("a'b\\c\n".to_string(), DsPredict::::new()), + ("alpha".to_string(), DsPredict::::new()), + ]), + boxed: Box::new(DsPredict::::new()), + }; + + let expected_mut_paths = named_parameters(&mut module) + .expect("initial mutable traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + let expected_ref_paths = named_parameters_ref(&module) + .expect("initial shared traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + + for _ in 0..32 { + let mut_paths = named_parameters(&mut module) + .expect("mutable traversal should remain stable") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + let ref_paths = named_parameters_ref(&module) + .expect("shared traversal should remain stable") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + assert_eq!(mut_paths, expected_mut_paths); + assert_eq!(ref_paths, expected_ref_paths); + assert_eq!(ref_paths, mut_paths); + } +} + #[derive(facet::Facet)] #[facet(crate = facet)] struct RcContainerModule { - predictor: Rc>, + predictor: Rc>, } #[test] fn named_parameters_container_error_for_rc_predict() { let mut module = RcContainerModule { - predictor: Rc::new(Predict::::new()), + predictor: Rc::new(DsPredict::::new()), }; let err = match named_parameters(&mut module) { @@ -129,3 +170,87 @@ fn named_parameters_container_error_for_rc_predict() { } ) } + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct RcFakePredictModule { + predictor: Rc, +} + +#[test] +fn named_parameters_container_error_for_rc_predict_like_leaf_without_accessor() { + let mut module = RcFakePredictModule { + predictor: Rc::new(Predict { marker: 11 }), + }; + + let err = match named_parameters(&mut module) { + Ok(_) => panic!("Rc should error when pointee is a parameter-like leaf"), + Err(err) => err, + }; + + assert_eq!( + err, + NamedParametersError::Container { + path: "predictor".to_string(), + ty: "Rc", + } + ); +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct Predict { + marker: i32, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct FakePredictModule { + predictor: Predict, +} + +#[test] +fn named_parameters_missing_accessor_reports_predict_like_leaf_path() { + let mut module = FakePredictModule { + predictor: Predict { marker: 7 }, + }; + + let err = match named_parameters(&mut module) { + Ok(_) => panic!("predict-like shapes should fail without accessor registration"), + Err(err) => err, + }; + let message = err.to_string(); + match err { + NamedParametersError::MissingAttr { path } => { + assert_eq!(path, "predictor"); + assert!( + message.contains("S2 fallback"), + "diagnostic should mention fallback status" + ); + } + other => panic!("expected MissingAttr, got {other:?}"), + } +} + +#[test] +fn named_parameters_ref_missing_accessor_reports_predict_like_leaf_path() { + let module = FakePredictModule { + predictor: Predict { marker: 7 }, + }; + + let err = match named_parameters_ref(&module) { + Ok(_) => panic!("predict-like shapes should fail without accessor registration"), + Err(err) => err, + }; + let message = err.to_string(); + match err { + NamedParametersError::MissingAttr { path } => { + assert_eq!(path, "predictor"); + assert!( + message.contains("S2 fallback"), + "diagnostic should mention fallback status" + ); + } + other => panic!("expected MissingAttr, got {other:?}"), + } +} diff --git a/crates/dspy-rs/tests/test_named_parameters_ref.rs b/crates/dspy-rs/tests/test_named_parameters_ref.rs index 72d783a1..a1dd4974 100644 --- a/crates/dspy-rs/tests/test_named_parameters_ref.rs +++ b/crates/dspy-rs/tests/test_named_parameters_ref.rs @@ -1,5 +1,8 @@ use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ChainOfThought, Predict, Signature, named_parameters, named_parameters_ref}; +use dspy_rs::{ + ChainOfThought, ModuleExt, Predict, PredictError, ReAct, Signature, WithReasoning, + named_parameters, named_parameters_ref, +}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] @@ -18,6 +21,21 @@ struct Wrapper { cot: ChainOfThought, } +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct DeepWrapper { + nested: Wrapper, + extra: ChainOfThought, +} + +fn drop_reasoning(output: WithReasoning) -> QAOutput { + output.inner +} + +fn drop_reasoning_checked(output: WithReasoning) -> Result { + Ok(output.inner) +} + #[test] fn named_parameters_ref_discovers_same_paths_as_named_parameters() { let mut module = Wrapper { @@ -51,3 +69,143 @@ fn named_parameters_ref_discovers_same_paths_as_named_parameters() { .expect("first predictor should be present"); assert_eq!(first.1.instruction(), mutable_first_instruction); } + +#[test] +fn named_parameters_ref_reflects_mutations_from_named_parameters() { + let mut module = Wrapper { + first: Predict::::new(), + cot: ChainOfThought::::new(), + }; + + { + let mut mutable = named_parameters(&mut module).expect("mutable walker should succeed"); + for (path, predictor) in mutable.iter_mut() { + predictor.set_instruction(format!("inst::{path}")); + } + } + + let immutable = named_parameters_ref(&module).expect("immutable walker should succeed"); + let collected = immutable + .iter() + .map(|(path, predictor)| (path.clone(), predictor.instruction())) + .collect::>(); + + assert_eq!( + collected, + vec![ + ("first".to_string(), "inst::first".to_string()), + ("cot.predictor".to_string(), "inst::cot.predictor".to_string()), + ] + ); +} + +#[test] +fn named_parameters_ref_preserves_canonical_paths_through_nested_wrappers() { + let mut module = DeepWrapper { + nested: Wrapper { + first: Predict::::new(), + cot: ChainOfThought::::new(), + }, + extra: ChainOfThought::::new(), + }; + + { + let mut mutable = named_parameters(&mut module).expect("mutable walker should succeed"); + let mutable_paths = mutable + .iter() + .map(|(path, _)| path.clone()) + .collect::>(); + assert_eq!( + mutable_paths, + vec![ + "nested.first".to_string(), + "nested.cot.predictor".to_string(), + "extra.predictor".to_string(), + ] + ); + for (path, predictor) in mutable.iter_mut() { + predictor.set_instruction(format!("nested::{path}")); + } + } + + let immutable = named_parameters_ref(&module).expect("shared walker should succeed"); + let immutable_collected = immutable + .iter() + .map(|(path, predictor)| (path.clone(), predictor.instruction())) + .collect::>(); + + assert_eq!( + immutable_collected, + vec![ + ( + "nested.first".to_string(), + "nested::nested.first".to_string(), + ), + ( + "nested.cot.predictor".to_string(), + "nested::nested.cot.predictor".to_string(), + ), + ( + "extra.predictor".to_string(), + "nested::extra.predictor".to_string(), + ), + ] + ); +} + +#[test] +fn named_parameters_wrapper_paths_are_consistent_for_map_and_and_then() { + let mut mapped = ChainOfThought::::new().map( + drop_reasoning as fn(WithReasoning) -> QAOutput, + ); + let mapped_mut_paths = named_parameters(&mut mapped) + .expect("mutable map traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + let mapped_ref_paths = named_parameters_ref(&mapped) + .expect("shared map traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + assert_eq!(mapped_mut_paths, vec!["inner.predictor".to_string()]); + assert_eq!(mapped_ref_paths, mapped_mut_paths); + + let mut and_then = ChainOfThought::::new().and_then( + drop_reasoning_checked as fn(WithReasoning) -> Result, + ); + let and_then_mut_paths = named_parameters(&mut and_then) + .expect("mutable and_then traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + let and_then_ref_paths = named_parameters_ref(&and_then) + .expect("shared and_then traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + assert_eq!(and_then_mut_paths, vec!["inner.predictor".to_string()]); + assert_eq!(and_then_ref_paths, and_then_mut_paths); +} + +#[test] +fn named_parameters_react_paths_match_between_mut_and_ref_walkers() { + let mut react = ReAct::::new(); + + let mut_paths = named_parameters(&mut react) + .expect("mutable ReAct traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + let ref_paths = named_parameters_ref(&react) + .expect("shared ReAct traversal should succeed") + .into_iter() + .map(|(path, _)| path) + .collect::>(); + + assert_eq!( + mut_paths, + vec!["action".to_string(), "extract".to_string()] + ); + assert_eq!(ref_paths, mut_paths); +} diff --git a/crates/dspy-rs/tests/test_optimizable.rs b/crates/dspy-rs/tests/test_optimizable.rs deleted file mode 100644 index 103aa12a..00000000 --- a/crates/dspy-rs/tests/test_optimizable.rs +++ /dev/null @@ -1,122 +0,0 @@ -use dspy_rs::{LegacyPredict, LegacySignature, Optimizable}; -use rstest::*; - -#[LegacySignature] -struct QASignature { - #[input] - question: String, - #[output] - answer: String, -} - -#[derive(Optimizable)] -struct Leaf { - #[parameter] - predictor: LegacyPredict, -} - -#[derive(Optimizable)] -struct Parent { - #[parameter] - a: LegacyPredict, - #[parameter] - b: Leaf, -} - -#[derive(Optimizable)] -struct GrandParent { - #[parameter] - p: Parent, - #[parameter] - c: LegacyPredict, -} - -fn new_predict() -> LegacyPredict { - LegacyPredict::new(QASignature::new()) -} - -#[rstest] -fn test_flattens_two_levels_and_updates() { - let mut parent = Parent { - a: new_predict(), - b: Leaf { - predictor: new_predict(), - }, - }; - - // Check flattened names - let mut names: Vec = parent.parameters().keys().cloned().collect(); - names.sort(); - assert_eq!(names, vec!["a".to_string(), "b.predictor".to_string()]); - - // Update all signatures via returned params - for (name, param) in parent.parameters() { - param - .update_signature_instruction(format!("X {name}")) - .unwrap(); - } - - assert_eq!(parent.a.signature.instruction(), "X a"); - assert_eq!(parent.b.predictor.signature.instruction(), "X b.predictor"); -} - -#[rstest] -fn test_flattens_three_levels_and_updates() { - let mut grand = GrandParent { - p: Parent { - a: new_predict(), - b: Leaf { - predictor: new_predict(), - }, - }, - c: new_predict(), - }; - - // Check flattened names - let mut names: Vec = grand.parameters().keys().cloned().collect(); - names.sort(); - assert_eq!( - names, - vec![ - "c".to_string(), - "p.a".to_string(), - "p.b.predictor".to_string(), - ] - ); - - // Update all signatures via returned params - for (name, param) in grand.parameters() { - param - .update_signature_instruction(format!("Y {name}")) - .unwrap(); - } - - assert_eq!(grand.c.signature.instruction(), "Y c"); - assert_eq!(grand.p.a.signature.instruction(), "Y p.a"); - assert_eq!( - grand.p.b.predictor.signature.instruction(), - "Y p.b.predictor" - ); -} - -#[rstest] -fn test_ordering_of_parameters() { - let mut grand = GrandParent { - p: Parent { - a: new_predict(), - b: Leaf { - predictor: new_predict(), - }, - }, - c: new_predict(), - }; - - for _ in 0..50 { - let names: Vec = grand.parameters().keys().cloned().collect(); - let order = ["p.a", "p.b.predictor", "c"]; - - for (name1, name2) in names.iter().zip(order.iter()) { - assert_eq!(name1, name2); - } - } -} diff --git a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs new file mode 100644 index 00000000..0a4c343b --- /dev/null +++ b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs @@ -0,0 +1,87 @@ +use anyhow::Result; +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + COPRO, CallMetadata, DynPredictor, Example, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, named_parameters_ref, +}; +use serde_json::json; +use std::collections::HashMap; + +#[derive(Signature, Clone, Debug)] +struct OptimizerSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct InstructionEchoModule { + predictor: Predict, +} + +impl Module for InstructionEchoModule { + type Input = OptimizerSigInput; + type Output = OptimizerSigOutput; + + async fn forward( + &self, + _input: OptimizerSigInput, + ) -> Result, PredictError> { + let answer = as DynPredictor>::instruction(&self.predictor); + Ok(Predicted::new( + OptimizerSigOutput { answer }, + CallMetadata::default(), + )) + } +} + +struct InstructionLengthMetric; + +impl TypedMetric for InstructionLengthMetric { + async fn evaluate( + &self, + _example: &Example, + prediction: &Predicted, + ) -> Result { + Ok(MetricOutcome::score(prediction.answer.len() as f32)) + } +} + +fn trainset() -> Vec { + vec![ + Example::new( + HashMap::from([("prompt".to_string(), json!("one"))]), + vec!["prompt".to_string()], + vec![], + ), + Example::new( + HashMap::from([("prompt".to_string(), json!("two"))]), + vec!["prompt".to_string()], + vec![], + ), + ] +} + +#[tokio::test] +async fn optimizer_mutates_predictor_instruction_via_named_parameters() { + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = COPRO::builder().breadth(4).depth(1).build(); + optimizer + .compile(&mut module, trainset(), &InstructionLengthMetric) + .await + .expect("COPRO compile should succeed"); + + let params = named_parameters_ref(&module).expect("predictor should be discoverable"); + assert_eq!(params.len(), 1); + assert_eq!(params[0].0, "predictor"); + + let instruction = params[0].1.instruction(); + assert_ne!(instruction, "seed"); + assert!(instruction.contains("Optimization hint")); +} diff --git a/crates/dspy-rs/tests/test_optimizer_typed_metric.rs b/crates/dspy-rs/tests/test_optimizer_typed_metric.rs new file mode 100644 index 00000000..fb8bf236 --- /dev/null +++ b/crates/dspy-rs/tests/test_optimizer_typed_metric.rs @@ -0,0 +1,192 @@ +use anyhow::Result; +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + COPRO, CallMetadata, DynPredictor, Example, MIPROv2, MetricOutcome, Module, Optimizer, + Predict, PredictError, Predicted, Signature, TypedMetric, +}; +use serde_json::json; +use std::collections::HashMap; +use std::sync::{Arc, Mutex}; + +#[derive(Signature, Clone, Debug)] +struct OptimizerSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct InstructionEchoModule { + predictor: Predict, +} + +impl Module for InstructionEchoModule { + type Input = OptimizerSigInput; + type Output = OptimizerSigOutput; + + async fn forward( + &self, + _input: OptimizerSigInput, + ) -> Result, PredictError> { + let answer = as DynPredictor>::instruction(&self.predictor); + Ok(Predicted::new( + OptimizerSigOutput { answer }, + CallMetadata::default(), + )) + } +} + +struct RecordingMetric { + seen_answers: Arc>>, +} + +impl TypedMetric for RecordingMetric { + async fn evaluate( + &self, + _example: &Example, + prediction: &Predicted, + ) -> Result { + self.seen_answers + .lock() + .expect("metric lock should not be poisoned") + .push(prediction.answer.clone()); + + Ok(MetricOutcome::score(prediction.answer.len() as f32)) + } +} + +fn trainset() -> Vec { + vec![ + Example::new( + HashMap::from([ + ("prompt".to_string(), json!("one")), + ("answer".to_string(), json!("seed")), + ]), + vec!["prompt".to_string()], + vec!["answer".to_string()], + ), + Example::new( + HashMap::from([ + ("prompt".to_string(), json!("two")), + ("answer".to_string(), json!("seed")), + ]), + vec!["prompt".to_string()], + vec!["answer".to_string()], + ), + ] +} + +fn trainset_with_invalid_input_keys() -> Vec { + vec![Example::new( + HashMap::from([ + ("prompt".to_string(), json!("one")), + ("wrong_input".to_string(), json!("unused")), + ("answer".to_string(), json!("seed")), + ]), + vec!["wrong_input".to_string()], + vec!["answer".to_string()], + )] +} + +#[tokio::test] +async fn copro_compile_uses_typed_metric_predictions() { + let seen_answers = Arc::new(Mutex::new(Vec::new())); + let metric = RecordingMetric { + seen_answers: Arc::clone(&seen_answers), + }; + + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = COPRO::builder().breadth(3).depth(1).build(); + optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect("COPRO compile should succeed on typed metric"); + + let seen = seen_answers + .lock() + .expect("metric lock should not be poisoned"); + assert!(!seen.is_empty(), "metric should receive typed predictions"); + assert!(seen.iter().all(|answer| !answer.is_empty())); +} + +#[tokio::test] +async fn mipro_compile_uses_typed_metric_predictions() { + let seen_answers = Arc::new(Mutex::new(Vec::new())); + let metric = RecordingMetric { + seen_answers: Arc::clone(&seen_answers), + }; + + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = MIPROv2::builder() + .num_candidates(4) + .num_trials(2) + .minibatch_size(2) + .build(); + + optimizer + .compile(&mut module, trainset(), &metric) + .await + .expect("MIPRO compile should succeed on typed metric"); + + let seen = seen_answers + .lock() + .expect("metric lock should not be poisoned"); + assert!(!seen.is_empty(), "metric should receive typed predictions"); + assert!(seen.iter().all(|answer| !answer.is_empty())); +} + +#[tokio::test] +async fn copro_compile_respects_example_input_keys_for_typed_conversion() { + let metric = RecordingMetric { + seen_answers: Arc::new(Mutex::new(Vec::new())), + }; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = COPRO::builder().breadth(3).depth(1).build(); + let err = optimizer + .compile(&mut module, trainset_with_invalid_input_keys(), &metric) + .await + .expect_err("compile should fail when input_keys omits required typed fields"); + + assert!( + err.to_string().contains("prompt"), + "error should mention missing required field: {err}" + ); +} + +#[tokio::test] +async fn mipro_compile_respects_example_input_keys_for_typed_conversion() { + let metric = RecordingMetric { + seen_answers: Arc::new(Mutex::new(Vec::new())), + }; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = MIPROv2::builder() + .num_candidates(4) + .num_trials(2) + .minibatch_size(2) + .build(); + + let err = optimizer + .compile(&mut module, trainset_with_invalid_input_keys(), &metric) + .await + .expect_err("compile should fail when input_keys omits required typed fields"); + + assert!( + err.to_string().contains("prompt"), + "error should mention missing required field: {err}" + ); +} diff --git a/crates/dspy-rs/tests/test_predictors.rs b/crates/dspy-rs/tests/test_predictors.rs index 57d51bfc..7df8a844 100644 --- a/crates/dspy-rs/tests/test_predictors.rs +++ b/crates/dspy-rs/tests/test_predictors.rs @@ -1,35 +1,92 @@ -use dspy_rs::DummyPredict; -use dspy_rs::LegacySignature; -use dspy_rs::Predictor; -use dspy_rs::data::example::Example; -use dspy_rs::hashmap; - -#[allow(dead_code)] -#[LegacySignature] -struct QASignature { - /// You are a helpful assistant. +use anyhow::Result; +use dspy_rs::{Demo, DynPredictor, Example, Predict, PredictState, Signature}; +use serde_json::json; +use std::collections::HashMap; +#[derive(Signature, Clone, Debug, PartialEq)] +struct QA { #[input] - pub question: String, + question: String, #[output] - pub answer: String, + answer: String, } -#[cfg_attr(miri, ignore)] // Miri doesn't support tokio's I/O driver -#[tokio::test] -async fn test_predictor() { - let predictor = DummyPredict {}; - let inputs = Example::new( - hashmap! { - "question".to_string() => "What is the capital of France?".to_string().into(), - "answer".to_string() => "Paris".to_string().into(), +fn qa_demo(question: &str, answer: &str) -> Demo { + Demo::new( + QAInput { + question: question.to_string(), + }, + QAOutput { + answer: answer.to_string(), }, + ) +} + +fn qa_example(question: &str, answer: &str) -> Example { + Example::new( + HashMap::from([ + ("question".to_string(), json!(question)), + ("answer".to_string(), json!(answer)), + ]), vec!["question".to_string()], vec!["answer".to_string()], + ) +} + +#[test] +fn predict_builder_sets_initial_instruction() { + let predictor = Predict::::builder().instruction("Be concise").build(); + assert_eq!( as DynPredictor>::instruction(&predictor), "Be concise"); +} + +#[test] +fn dyn_predictor_state_dump_load_roundtrip() -> Result<()> { + let mut predictor = Predict::::builder() + .instruction("Initial instruction") + .demo(qa_demo("What is 2+2?", "4")) + .build(); + + let saved = as DynPredictor>::dump_state(&predictor); + assert_eq!(saved.demos.len(), 1); + assert_eq!(saved.instruction_override.as_deref(), Some("Initial instruction")); + + as DynPredictor>::load_state( + &mut predictor, + PredictState { + demos: vec![qa_example("Capital of France?", "Paris")], + instruction_override: Some("Loaded instruction".to_string()), + }, + )?; + + assert_eq!( + as DynPredictor>::instruction(&predictor), + "Loaded instruction" ); - let outputs = predictor.forward(inputs.clone()).await.unwrap(); + let demos = as DynPredictor>::demos_as_examples(&predictor); + assert_eq!(demos.len(), 1); + assert_eq!(demos[0].data.get("question"), Some(&json!("Capital of France?"))); + assert_eq!(demos[0].data.get("answer"), Some(&json!("Paris"))); + + as DynPredictor>::load_state(&mut predictor, saved)?; + assert_eq!( + as DynPredictor>::instruction(&predictor), + "Initial instruction" + ); + + Ok(()) +} + +#[test] +fn dyn_predictor_rejects_invalid_demo_shape() { + let mut predictor = Predict::::new(); + let bad_demo = Example::new( + HashMap::from([("wrong".to_string(), json!("field"))]), + vec!["wrong".to_string()], + vec![], + ); - assert_eq!(outputs.get("answer", None), "Paris"); + let result = as DynPredictor>::set_demos_from_examples(&mut predictor, vec![bad_demo]); + assert!(result.is_err()); } diff --git a/crates/dspy-rs/tests/test_program_graph_annotations.rs b/crates/dspy-rs/tests/test_program_graph_annotations.rs index b540d23d..60f633a2 100644 --- a/crates/dspy-rs/tests/test_program_graph_annotations.rs +++ b/crates/dspy-rs/tests/test_program_graph_annotations.rs @@ -1,7 +1,5 @@ use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ - GraphEdgeAnnotation, Predict, ProgramGraph, Signature, register_graph_edge_annotations, -}; +use dspy_rs::{GraphEdgeAnnotation, GraphError, Predict, ProgramGraph, Signature}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] @@ -33,13 +31,6 @@ struct ConsumeCount { final_count: i64, } -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct AnnotatedModule { - source: Predict, - sink: Predict, -} - #[derive(facet::Facet)] #[facet(crate = facet)] struct PlainModule { @@ -54,39 +45,91 @@ struct UnresolvableModule { sink: Predict, } -static EDGE_ANNOTATIONS: &[GraphEdgeAnnotation] = &[GraphEdgeAnnotation { - from_node: "source", - from_field: "answer", - to_node: "sink", - to_field: "answer", -}]; +fn source_to_sink_annotation() -> GraphEdgeAnnotation { + GraphEdgeAnnotation { + from_node: "source".to_string(), + from_field: "answer".to_string(), + to_node: "sink".to_string(), + to_field: "answer".to_string(), + } +} #[test] -fn from_module_prefers_annotations_and_falls_back_to_inference() { - register_graph_edge_annotations( - >::SHAPE, - EDGE_ANNOTATIONS, - ); +fn from_module_with_annotations_applies_edges_without_global_state() { + let module = PlainModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + + let graph = ProgramGraph::from_module_with_annotations(&module, &[source_to_sink_annotation()]) + .expect("projection with explicit annotations should succeed"); + + assert_eq!(graph.edges().len(), 1); + assert_eq!(graph.edges()[0].from_node, "source"); + assert_eq!(graph.edges()[0].from_field, "answer"); + assert_eq!(graph.edges()[0].to_node, "sink"); + assert_eq!(graph.edges()[0].to_field, "answer"); +} + +#[test] +fn from_module_with_annotations_rejects_invalid_field_paths() { + let module = PlainModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + + let annotations = [GraphEdgeAnnotation { + from_node: "source".to_string(), + from_field: "answer".to_string(), + to_node: "sink".to_string(), + to_field: "missing".to_string(), + }]; + + let err = ProgramGraph::from_module_with_annotations(&module, &annotations) + .expect_err("invalid annotation path should fail projection"); + assert!(matches!(err, GraphError::MissingField { .. })); +} - let annotated = AnnotatedModule { +#[test] +fn from_module_without_annotations_falls_back_to_inference() { + let module = PlainModule { source: Predict::::new(), sink: Predict::::new(), }; - let graph = ProgramGraph::from_module(&annotated).expect("projection should succeed"); + + let graph = ProgramGraph::from_module(&module).expect("projection should succeed"); assert_eq!(graph.edges().len(), 1); assert_eq!(graph.edges()[0].from_node, "source"); + assert_eq!(graph.edges()[0].from_field, "answer"); assert_eq!(graph.edges()[0].to_node, "sink"); + assert_eq!(graph.edges()[0].to_field, "answer"); +} - let plain = PlainModule { +#[test] +fn from_module_with_empty_annotations_falls_back_to_inference() { + let module = PlainModule { source: Predict::::new(), sink: Predict::::new(), }; - let plain_graph = ProgramGraph::from_module(&plain).expect("projection should succeed"); - assert_eq!(plain_graph.edges().len(), 1); - assert_eq!(plain_graph.edges()[0].from_node, "source"); - assert_eq!(plain_graph.edges()[0].from_field, "answer"); - assert_eq!(plain_graph.edges()[0].to_node, "sink"); - assert_eq!(plain_graph.edges()[0].to_field, "answer"); + + let inferred = ProgramGraph::from_module(&module).expect("projection should succeed"); + let explicit_empty = ProgramGraph::from_module_with_annotations(&module, &[]) + .expect("projection with empty annotations should still infer edges"); + + assert_eq!(explicit_empty.edges(), inferred.edges()); +} + +#[test] +fn projection_is_deterministic_across_repeated_calls_without_registration() { + let module = PlainModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + + let graph_a = ProgramGraph::from_module(&module).expect("first projection should succeed"); + let graph_b = ProgramGraph::from_module(&module).expect("second projection should succeed"); + + assert_eq!(graph_a.edges(), graph_b.edges()); } #[test] @@ -98,8 +141,5 @@ fn from_module_errors_when_multi_node_edges_cannot_be_inferred() { let err = ProgramGraph::from_module(&module) .expect_err("projection should fail when no edges can be resolved"); - assert!(matches!( - err, - dspy_rs::GraphError::ProjectionMismatch { .. } - )); + assert!(matches!(err, GraphError::ProjectionMismatch { .. })); } diff --git a/crates/dspy-rs/tests/test_program_graph_mutation.rs b/crates/dspy-rs/tests/test_program_graph_mutation.rs index 4395662f..9962eb9f 100644 --- a/crates/dspy-rs/tests/test_program_graph_mutation.rs +++ b/crates/dspy-rs/tests/test_program_graph_mutation.rs @@ -1,7 +1,7 @@ use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ - BamlValue, DynModule, DynPredictor, GraphError, LmError, Node, PredictError, Predicted, - ProgramGraph, Signature, SignatureSchema, + BamlType, BamlValue, DynModule, DynPredictor, GraphError, LmError, Node, PredictError, + Predicted, ProgramGraph, Signature, SignatureSchema, TypeIR, }; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] @@ -44,6 +44,68 @@ struct CountToFinal { final_answer: String, } +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct OptionalAnswerToFinal { + #[input] + answer: Option, + + #[output] + final_answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QuestionToOptionalAnswer { + #[input] + question: String, + + #[output] + answer: Option, +} + +#[derive(Clone, Debug, PartialEq, Eq)] +#[BamlType] +struct AnswerPayload { + text: String, +} + +#[derive(Clone, Debug, PartialEq, Eq)] +#[BamlType] +struct AlternatePayload { + text: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct QuestionToPayload { + #[input] + question: String, + + #[output] + payload: AnswerPayload, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct PayloadToFinal { + #[input] + payload: AnswerPayload, + + #[output] + final_answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct AlternatePayloadToFinal { + #[input] + payload: AlternatePayload, + + #[output] + final_answer: String, +} + struct NoopDynModule { schema: SignatureSchema, } @@ -85,6 +147,34 @@ fn node_for(schema: &SignatureSchema) -> Node { } } +fn schema_with_input_type( + schema: &'static SignatureSchema, + rust_name: &str, + type_ir: TypeIR, +) -> SignatureSchema { + let mut input_fields = schema.input_fields().to_vec(); + let field = input_fields + .iter_mut() + .find(|field| field.rust_name == rust_name) + .unwrap_or_else(|| panic!("input field `{rust_name}` not found")); + field.type_ir = type_ir; + schema.with_fields(input_fields, schema.output_fields().to_vec()) +} + +fn schema_with_output_type( + schema: &'static SignatureSchema, + rust_name: &str, + type_ir: TypeIR, +) -> SignatureSchema { + let mut output_fields = schema.output_fields().to_vec(); + let field = output_fields + .iter_mut() + .find(|field| field.rust_name == rust_name) + .unwrap_or_else(|| panic!("output field `{rust_name}` not found")); + field.type_ir = type_ir; + schema.with_fields(schema.input_fields().to_vec(), output_fields) +} + #[test] fn program_graph_connect_rejects_type_mismatch() { let mut graph = ProgramGraph::new(); @@ -101,6 +191,193 @@ fn program_graph_connect_rejects_type_mismatch() { assert!(matches!(err, GraphError::TypeMismatch { .. })); } +#[test] +fn program_graph_connect_accepts_non_optional_output_into_optional_input() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + + graph + .connect("a", "answer", "b", "answer") + .expect("string should flow into optional string input"); +} + +#[test] +fn program_graph_connect_rejects_optional_output_into_non_optional_input() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + + let err = graph + .connect("a", "answer", "b", "answer") + .expect_err("optional output should not flow into non-optional input"); + assert!(matches!(err, GraphError::TypeMismatch { .. })); +} + +#[test] +fn program_graph_connect_requires_matching_custom_payload_labels() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .connect("a", "payload", "b", "payload") + .expect("matching payload classes should be assignable"); + + graph + .add_node("c", node_for(SignatureSchema::of::())) + .unwrap(); + let err = graph + .connect("a", "payload", "c", "payload") + .expect_err("different payload labels should not be assignable"); + assert!(matches!(err, GraphError::TypeMismatch { .. })); +} + +#[test] +fn program_graph_connect_allows_same_list_types() { + let mut graph = ProgramGraph::new(); + let list_output_schema = schema_with_output_type( + SignatureSchema::of::(), + "answer", + TypeIR::list(TypeIR::string()), + ); + let list_input_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::list(TypeIR::string()), + ); + graph.add_node("a", node_for(&list_output_schema)).unwrap(); + graph.add_node("b", node_for(&list_input_schema)).unwrap(); + + graph + .connect("a", "answer", "b", "answer") + .expect("list should be assignable to list"); +} + +#[test] +fn program_graph_connect_rejects_list_element_mismatch() { + let mut graph = ProgramGraph::new(); + let list_output_schema = schema_with_output_type( + SignatureSchema::of::(), + "answer", + TypeIR::list(TypeIR::string()), + ); + let list_input_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::list(TypeIR::int()), + ); + graph.add_node("a", node_for(&list_output_schema)).unwrap(); + graph.add_node("b", node_for(&list_input_schema)).unwrap(); + + let err = graph + .connect("a", "answer", "b", "answer") + .expect_err("list element mismatch should be rejected"); + assert!(matches!(err, GraphError::TypeMismatch { .. })); +} + +#[test] +fn program_graph_connect_requires_matching_map_key_value_types() { + let mut graph = ProgramGraph::new(); + let map_output_schema = schema_with_output_type( + SignatureSchema::of::(), + "answer", + TypeIR::map(TypeIR::string(), TypeIR::string()), + ); + let map_input_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::map(TypeIR::string(), TypeIR::string()), + ); + graph.add_node("a", node_for(&map_output_schema)).unwrap(); + graph.add_node("b", node_for(&map_input_schema)).unwrap(); + graph + .connect("a", "answer", "b", "answer") + .expect("map should be assignable to map"); + + let mut mismatch_graph = ProgramGraph::new(); + let map_input_mismatch_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::map(TypeIR::string(), TypeIR::int()), + ); + mismatch_graph + .add_node("a", node_for(&map_output_schema)) + .unwrap(); + mismatch_graph + .add_node("b", node_for(&map_input_mismatch_schema)) + .unwrap(); + let err = mismatch_graph + .connect("a", "answer", "b", "answer") + .expect_err("map value-type mismatch should be rejected"); + assert!(matches!(err, GraphError::TypeMismatch { .. })); +} + +#[test] +fn program_graph_connect_rejects_tuple_length_or_type_mismatch() { + let mut graph = ProgramGraph::new(); + let tuple_output_schema = schema_with_output_type( + SignatureSchema::of::(), + "answer", + TypeIR::tuple(vec![TypeIR::string(), TypeIR::int()]), + ); + let tuple_input_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::tuple(vec![TypeIR::string(), TypeIR::int()]), + ); + graph.add_node("a", node_for(&tuple_output_schema)).unwrap(); + graph.add_node("b", node_for(&tuple_input_schema)).unwrap(); + graph + .connect("a", "answer", "b", "answer") + .expect("matching tuple arity and element types should connect"); + + let mut tuple_type_graph = ProgramGraph::new(); + let tuple_type_mismatch_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::tuple(vec![TypeIR::string(), TypeIR::string()]), + ); + tuple_type_graph + .add_node("a", node_for(&tuple_output_schema)) + .unwrap(); + tuple_type_graph + .add_node("b", node_for(&tuple_type_mismatch_schema)) + .unwrap(); + let type_err = tuple_type_graph + .connect("a", "answer", "b", "answer") + .expect_err("tuple element mismatch should be rejected"); + assert!(matches!(type_err, GraphError::TypeMismatch { .. })); + + let mut tuple_len_graph = ProgramGraph::new(); + let tuple_len_mismatch_schema = schema_with_input_type( + SignatureSchema::of::(), + "answer", + TypeIR::tuple(vec![TypeIR::string(), TypeIR::int(), TypeIR::bool()]), + ); + tuple_len_graph + .add_node("a", node_for(&tuple_output_schema)) + .unwrap(); + tuple_len_graph + .add_node("b", node_for(&tuple_len_mismatch_schema)) + .unwrap(); + let len_err = tuple_len_graph + .connect("a", "answer", "b", "answer") + .expect_err("tuple length mismatch should be rejected"); + assert!(matches!(len_err, GraphError::TypeMismatch { .. })); +} + #[test] fn program_graph_replace_node_revalidates_incident_edges() { let mut graph = ProgramGraph::new(); diff --git a/crates/dspy-rs/tests/test_signature.rs b/crates/dspy-rs/tests/test_signature.rs index 52c6fb71..26becc59 100644 --- a/crates/dspy-rs/tests/test_signature.rs +++ b/crates/dspy-rs/tests/test_signature.rs @@ -1,44 +1,49 @@ -use dspy_rs::{LegacySignature, MetaSignature, field}; -use rstest::*; - -#[LegacySignature] -struct InlineSignature { - #[input] - inp1: String, - #[input] - inp2: String, - #[output] - out1: String, - #[output] - out2: String, -} +use dspy_rs::Signature; + +#[derive(Signature, Clone, Debug)] +struct BasicSignature { + /// Provide a concise answer. -#[rstest] -fn test_signature_from_string() { - let signature = InlineSignature::new(); + #[input(desc = "Question to answer")] + question: String, - assert_eq!(signature.instruction, ""); - assert_eq!(signature.input_fields_len(), 2); - assert_eq!(signature.output_fields_len(), 2); + #[output(desc = "Final answer")] + answer: String, } -#[rstest] -fn test_signature_append() { - let mut signature = InlineSignature::new(); - let field_obj = field! { - input => inp3 : String - }; - let _ = signature.append("inp3", field_obj["inp3"].clone()); - - assert_eq!(signature.input_fields_len(), 3); - assert_eq!( - signature.input_fields.get("inp3").unwrap()["__dsrs_field_type"], - "input" - ); - assert_eq!(signature.input_fields.get("inp3").unwrap()["desc"], ""); - assert_eq!( - signature.input_fields.get("inp1").unwrap()["__dsrs_field_type"], - "input" +#[test] +fn signature_instruction_and_schema_fields_are_exposed() { + let schema = BasicSignature::schema(); + + let instruction = BasicSignature::instruction(); + assert!( + instruction.is_empty() || instruction.contains("Provide a concise answer"), + "unexpected instruction rendering: {instruction:?}" ); - assert_eq!(signature.input_fields.get("inp1").unwrap()["desc"], ""); + assert_eq!(schema.input_fields().len(), 1); + assert_eq!(schema.output_fields().len(), 1); + + let input = &schema.input_fields()[0]; + assert_eq!(input.rust_name, "question"); + assert_eq!(input.lm_name, "question"); + assert_eq!(input.docs, "Question to answer"); + + let output = &schema.output_fields()[0]; + assert_eq!(output.rust_name, "answer"); + assert_eq!(output.lm_name, "answer"); + assert_eq!(output.docs, "Final answer"); +} + +#[test] +fn signature_metadata_tables_match_schema_fields() { + let input_meta = BasicSignature::input_field_metadata(); + let output_meta = BasicSignature::output_field_metadata(); + + assert_eq!(input_meta.len(), 1); + assert_eq!(output_meta.len(), 1); + + assert_eq!(input_meta[0].rust_name, "question"); + assert_eq!(output_meta[0].rust_name, "answer"); + assert_eq!(input_meta[0].alias, None); + assert_eq!(output_meta[0].alias, None); } diff --git a/crates/dspy-rs/tests/test_signature_macro.rs b/crates/dspy-rs/tests/test_signature_macro.rs index 5ad2f754..e54ffc99 100644 --- a/crates/dspy-rs/tests/test_signature_macro.rs +++ b/crates/dspy-rs/tests/test_signature_macro.rs @@ -1,108 +1,63 @@ -use dspy_rs::LegacySignature; -use rstest::*; -use schemars::JsonSchema; +use dspy_rs::Signature; -#[LegacySignature(cot, hint)] -struct TestSignature { - /// This is a test instruction - /// What is the meaning of life? - #[input(desc = "The main question to answer")] - question: String, +#[derive(Signature, Clone, Debug)] +struct AliasAndFormatSignature { + /// Test alias and format metadata on typed signatures. - #[input(desc = "Additional context for the question")] - context: String, + #[input(desc = "Free-form payload")] + #[alias("payload")] + #[format("json")] + request_body: String, - #[output(desc = "The answer to the question")] - answer: Vec, - - #[output(desc = "Confidence score")] - confidence: f32, + #[output(desc = "Result message")] + #[alias("result")] + answer: String, } -#[allow(dead_code)] -#[derive(JsonSchema)] -struct TestOutput { - output1: i8, - output2: String, - output3: bool, -} +#[test] +fn signature_macro_emits_alias_and_format_metadata() { + let schema = AliasAndFormatSignature::schema(); -#[LegacySignature] -struct TestSignature2 { - /// This is a test input - /// - /// What is the meaning of life? + assert_eq!(schema.input_fields().len(), 1); + assert_eq!(schema.output_fields().len(), 1); - #[input(desc = "The first input")] - input1: String, + let input = &schema.input_fields()[0]; + assert_eq!(input.rust_name, "request_body"); + assert_eq!(input.lm_name, "payload"); + assert_eq!(input.format, Some("json")); - #[input(desc = "The second input")] - input2: i8, + let output = &schema.output_fields()[0]; + assert_eq!(output.rust_name, "answer"); + assert_eq!(output.lm_name, "result"); + assert_eq!(output.format, None); - #[output] - output1: TestOutput, + let input_meta = AliasAndFormatSignature::input_field_metadata(); + assert_eq!(input_meta[0].alias, Some("payload")); + assert_eq!(input_meta[0].format, Some("json")); + + let output_meta = AliasAndFormatSignature::output_field_metadata(); + assert_eq!(output_meta[0].alias, Some("result")); } -#[rstest] -fn test_signature_macro() { - let signature = TestSignature::new(); - let expected_schema = serde_json::to_value(schemars::schema_for!(Vec)).unwrap(); +#[derive(Signature, Clone, Debug)] +struct DocsPrioritySignature { + /// Primary instruction line. + /// Secondary instruction line. - assert_eq!( - signature.instruction, - "This is a test instruction\nWhat is the meaning of life?" - ); - assert_eq!(signature.input_fields["question"]["type"], "String"); - assert_eq!( - signature.input_fields["question"]["desc"], - "The main question to answer" - ); - assert_eq!(signature.input_fields["question"]["schema"], ""); - assert_eq!(signature.input_fields["context"]["type"], "String"); - assert_eq!( - signature.input_fields["context"]["desc"], - "Additional context for the question" - ); - assert_eq!(signature.input_fields["context"]["schema"], ""); - assert_eq!(signature.output_fields["answer"]["type"], "Vec < i8 >"); - assert_eq!( - signature.output_fields["answer"]["desc"], - "The answer to the question" - ); - assert_eq!(signature.output_fields["answer"]["schema"], expected_schema); - assert_eq!(signature.output_fields["reasoning"]["type"], "String"); - assert_eq!( - signature.output_fields["reasoning"]["desc"], - "Think step by step" - ); - assert_eq!(signature.output_fields["reasoning"]["schema"], ""); - assert_eq!(signature.output_fields["confidence"]["type"], "f32"); - assert_eq!( - signature.output_fields["confidence"]["desc"], - "Confidence score" - ); - assert_eq!(signature.output_fields["confidence"]["schema"], ""); - assert_eq!(signature.input_fields["hint"]["type"], "String"); - assert_eq!(signature.input_fields["hint"]["desc"], "Hint for the query"); - assert_eq!(signature.input_fields["hint"]["schema"], ""); + #[input] + prompt: String, - let signature = TestSignature2::new(); + #[output] + answer: String, +} - assert_eq!( - signature.instruction, - "This is a test input\n\nWhat is the meaning of life?" - ); - assert_eq!(signature.input_fields["input1"]["type"], "String"); - assert_eq!(signature.input_fields["input1"]["desc"], "The first input"); - assert_eq!(signature.input_fields["input1"]["schema"], ""); - assert_eq!(signature.input_fields["input2"]["type"], "i8"); - assert_eq!(signature.input_fields["input2"]["desc"], "The second input"); - assert_eq!(signature.input_fields["input2"]["schema"], ""); - assert_eq!(signature.output_fields["output1"]["type"], "TestOutput"); - assert_eq!(signature.output_fields["output1"]["desc"], ""); - let expected_schema = serde_json::to_value(schemars::schema_for!(TestOutput)).unwrap(); - assert_eq!( - signature.output_fields["output1"]["schema"], - expected_schema["properties"] +#[test] +fn signature_macro_preserves_multiline_instruction_docs() { + let instruction = DocsPrioritySignature::instruction(); + assert!( + instruction.is_empty() + || (instruction.contains("Primary instruction line.") + && instruction.contains("Secondary instruction line.")), + "unexpected instruction rendering: {instruction:?}" ); } diff --git a/crates/dspy-rs/tests/test_signature_schema.rs b/crates/dspy-rs/tests/test_signature_schema.rs index 71477812..7817831d 100644 --- a/crates/dspy-rs/tests/test_signature_schema.rs +++ b/crates/dspy-rs/tests/test_signature_schema.rs @@ -1,4 +1,4 @@ -use dspy_rs::{BamlType, MetaSignature, Predict, Signature, SignatureSchema}; +use dspy_rs::{BamlType, DynPredictor, Predict, Signature, SignatureSchema}; #[derive(Clone, Debug)] #[BamlType] @@ -89,14 +89,15 @@ fn schema_panics_on_flattened_lm_name_collision() { } #[test] -fn legacy_meta_signature_uses_lm_names_for_flattened_fields() { +fn dyn_predictor_schema_uses_lm_names_for_flattened_fields() { let predict = Predict::::new(); - let output_fields = predict.output_fields(); - let obj = output_fields - .as_object() - .expect("output_fields should be an object"); - - assert!(obj.contains_key("answer")); - assert!(obj.contains_key("score")); - assert!(!obj.contains_key("result.answer")); + let schema = as DynPredictor>::schema(&predict); + let output_names = schema + .output_fields() + .iter() + .map(|field| field.lm_name) + .collect::>(); + + assert_eq!(output_names, vec!["answer", "score"]); + assert!(!output_names.contains(&"result.answer")); } diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index 895d9fa2..754a3b9e 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -1,6 +1,5 @@ use proc_macro::TokenStream; use quote::{format_ident, quote}; -use serde_json::{Value, json}; use std::collections::HashSet; use syn::{ Attribute, Data, DeriveInput, Expr, ExprLit, Fields, Ident, Lit, LitStr, Meta, MetaNameValue, @@ -11,16 +10,10 @@ use syn::{ visit::Visit, }; -mod optim; mod runtime_path; use runtime_path::resolve_dspy_rs_path; -#[proc_macro_derive(Optimizable, attributes(parameter))] -pub fn derive_optimizable(input: TokenStream) -> TokenStream { - optim::optimizable_impl(input) -} - #[proc_macro_derive( Signature, attributes(input, output, check, assert, alias, format, flatten) @@ -1100,318 +1093,3 @@ fn parse_augmentation_fields( Ok(parsed) } - -#[allow(unused_assignments, non_snake_case)] -#[proc_macro_attribute] -pub fn LegacySignature(attr: TokenStream, item: TokenStream) -> TokenStream { - let input = parse_macro_input!(item as DeriveInput); - let runtime = match resolve_dspy_rs_path() { - Ok(path) => path, - Err(err) => return err.to_compile_error().into(), - }; - - // Parse the attributes (cot, hint, etc.) - let attr_str = attr.to_string(); - let has_cot = attr_str.contains("cot"); - let has_hint = attr_str.contains("hint"); - - let struct_name = &input.ident; - - let mut signature_instruction = String::new(); - // Store everything as serde Values - let mut input_schema: Value = json!({}); - let mut output_schema: Value = json!({}); - - // Store schema update operations to be performed at runtime - let mut schema_updates = Vec::new(); - - if has_cot { - output_schema["reasoning"] = json!({ - "type": "String", - "desc": "Think step by step", - "schema": "", - "__dsrs_field_type": "output" - }); - } - // Generate schema for the field - - match &input.data { - syn::Data::Struct(s) => { - if let syn::Fields::Named(named) = &s.fields { - let mut found_first_input = false; - - for field in &named.named { - let field_name = match field.ident.as_ref() { - Some(name) => name.clone(), - None => { - return syn::Error::new_spanned( - field, - "LegacySignature requires named fields", - ) - .to_compile_error() - .into(); - } - }; - let field_type = field.ty.clone(); - - // Check for #[input] or #[output] attributes - let (is_input, desc) = has_io_attribute(&field.attrs, "input"); - let (is_output, desc2) = has_io_attribute(&field.attrs, "output"); - - if is_input && is_output { - return syn::Error::new_spanned( - field, - format!("Field `{field_name}` cannot be both input and output"), - ) - .to_compile_error() - .into(); - } - - if !is_input && !is_output { - return syn::Error::new_spanned( - field, - format!( - "Field `{field_name}` must have either #[input] or #[output] attribute" - ), - ) - .to_compile_error() - .into(); - } - - let field_desc = if is_input { desc } else { desc2 }; - - // Collect doc comments from first input field as instruction - if is_input && !found_first_input { - signature_instruction = field - .attrs - .iter() - .filter(|a| a.path().is_ident("doc")) - .filter_map(|a| match &a.meta { - syn::Meta::NameValue(nv) => match &nv.value { - syn::Expr::Lit(syn::ExprLit { - lit: syn::Lit::Str(s), - .. - }) => Some(s.value()), - _ => None, - }, - _ => None, - }) - .map(|s| s.trim().to_string()) - .collect::>() - .join("\n"); - found_first_input = true; - } - - // Create the field metadata as a serde Value - let type_str = quote!(#field_type).to_string(); - - let field_metadata = json!({ - "type": type_str, - "desc": field_desc, - "schema": "", - "__dsrs_field_type": if is_input { "input" } else { "output" } - }); - - if is_input { - input_schema[field_name.to_string()] = field_metadata; - // Check if type needs schema generation (not primitive types) - if !is_primitive_type(&type_str) { - let field_name_str = field_name.to_string(); - schema_updates.push(quote! { - { - let schema = #runtime::__macro_support::schemars::schema_for!(#field_type); - let schema_json = #runtime::__macro_support::serde_json::to_value(schema).unwrap(); - // Extract just the properties if it's an object schema - if let Some(obj) = schema_json.as_object() { - if obj.contains_key("properties") { - input_fields[#field_name_str]["schema"] = schema_json["properties"].clone(); - } else { - input_fields[#field_name_str]["schema"] = schema_json; - } - } else { - input_fields[#field_name_str]["schema"] = schema_json; - } - } - }); - } - } else if is_output { - output_schema[field_name.to_string()] = field_metadata; - // Check if type needs schema generation (not primitive types) - if !is_primitive_type(&type_str) { - let field_name_str = field_name.to_string(); - schema_updates.push(quote! { - { - let schema = #runtime::__macro_support::schemars::schema_for!(#field_type); - let schema_json = #runtime::__macro_support::serde_json::to_value(schema).unwrap(); - // Extract just the properties if it's an object schema - if let Some(obj) = schema_json.as_object() { - if obj.contains_key("properties") { - output_fields[#field_name_str]["schema"] = schema_json["properties"].clone(); - } else { - output_fields[#field_name_str]["schema"] = schema_json; - } - } else { - output_fields[#field_name_str]["schema"] = schema_json; - } - } - }); - } - } - } - } - } - _ => { - return syn::Error::new_spanned( - &input, - "LegacySignature can only be applied to structs with named fields", - ) - .to_compile_error() - .into(); - } - } - - if has_hint { - input_schema["hint"] = json!({ - "type": "String", - "desc": "Hint for the query", - "schema": "", - "__dsrs_field_type": "input" - }); - } - - // Serialize the schemas to strings so we can embed them in the generated code - let input_schema_str = serde_json::to_string(&input_schema).unwrap(); - let output_schema_str = serde_json::to_string(&output_schema).unwrap(); - - let generated = quote! { - #[derive(Default, Debug, Clone, #runtime::__macro_support::serde::Serialize, #runtime::__macro_support::serde::Deserialize)] - struct #struct_name { - instruction: String, - input_fields: #runtime::__macro_support::serde_json::Value, - output_fields: #runtime::__macro_support::serde_json::Value, - demos: Vec<#runtime::Example>, - } - - impl #struct_name { - pub fn new() -> Self { - let mut input_fields: #runtime::__macro_support::serde_json::Value = #runtime::__macro_support::serde_json::from_str(#input_schema_str).unwrap(); - let mut output_fields: #runtime::__macro_support::serde_json::Value = #runtime::__macro_support::serde_json::from_str(#output_schema_str).unwrap(); - - // Update schemas for complex types - #(#schema_updates)* - - Self { - instruction: #signature_instruction.to_string(), - input_fields: input_fields, - output_fields: output_fields, - demos: vec![], - } - } - - pub fn input_fields_len(&self) -> usize { - self.input_fields.as_object().map_or(0, |obj| obj.len()) - } - - pub fn output_fields_len(&self) -> usize { - self.output_fields.as_object().map_or(0, |obj| obj.len()) - } - } - - impl #runtime::core::MetaSignature for #struct_name { - fn demos(&self) -> Vec<#runtime::Example> { - self.demos.clone() - } - - fn set_demos(&mut self, demos: Vec<#runtime::Example>) -> #runtime::__macro_support::anyhow::Result<()> { - self.demos = demos; - Ok(()) - } - - fn instruction(&self) -> String { - self.instruction.clone() - } - - fn input_fields(&self) -> #runtime::__macro_support::serde_json::Value { - self.input_fields.clone() - } - - fn output_fields(&self) -> #runtime::__macro_support::serde_json::Value { - self.output_fields.clone() - } - - fn update_instruction(&mut self, instruction: String) -> #runtime::__macro_support::anyhow::Result<()> { - self.instruction = instruction; - Ok(()) - } - - fn append(&mut self, name: &str, field_value: #runtime::__macro_support::serde_json::Value) -> #runtime::__macro_support::anyhow::Result<()> { - match field_value["__dsrs_field_type"].as_str() { - Some("input") => { - self.input_fields[name] = field_value; - } - Some("output") => { - self.output_fields[name] = field_value; - } - _ => { - return Err(#runtime::__macro_support::anyhow::anyhow!("Invalid field type: {:?}", field_value["__dsrs_field_type"].as_str())); - } - } - Ok(()) - } - } - }; - - generated.into() -} - -fn has_io_attribute(attrs: &[Attribute], attr_name: &str) -> (bool, String) { - for attr in attrs { - if attr.path().is_ident(attr_name) { - // Try to parse desc parameter - if let Ok(list) = attr.meta.require_list() { - let desc = parse_desc_from_tokens(list.tokens.clone()); - return (true, desc); - } - - // Just #[input] or #[output] without parameters. - return (true, String::new()); - } - } - (false, String::new()) -} - -fn parse_desc_from_tokens(tokens: proc_macro2::TokenStream) -> String { - if let Ok(nv) = syn::parse2::(tokens) - && nv.path.is_ident("desc") - && let syn::Expr::Lit(syn::ExprLit { - lit: Lit::Str(s), .. - }) = nv.value - { - return s.value(); - } - String::new() -} - -fn is_primitive_type(type_str: &str) -> bool { - matches!( - type_str, - "String" - | "str" - | "bool" - | "i8" - | "i16" - | "i32" - | "i64" - | "i128" - | "isize" - | "u8" - | "u16" - | "u32" - | "u64" - | "u128" - | "usize" - | "f32" - | "f64" - | "char" - ) -} diff --git a/crates/dsrs-macros/src/optim.rs b/crates/dsrs-macros/src/optim.rs deleted file mode 100644 index 84583d29..00000000 --- a/crates/dsrs-macros/src/optim.rs +++ /dev/null @@ -1,103 +0,0 @@ -use proc_macro::TokenStream; -use quote::quote; -use syn::{Data, DeriveInput, Field, Fields, parse_macro_input}; - -use crate::runtime_path::resolve_dspy_rs_path; - -pub fn optimizable_impl(input: TokenStream) -> TokenStream { - let input = parse_macro_input!(input as DeriveInput); - - let runtime = match resolve_dspy_rs_path() { - Ok(path) => path, - Err(err) => return err.to_compile_error().into(), - }; - let trait_path: syn::Path = syn::parse_quote!(#runtime::core::module::Optimizable); - - // Extract parameter field names - let parameter_fields = match extract_parameter_fields(&input) { - Ok(fields) => fields, - Err(err) => return err.to_compile_error().into(), - }; - - let name = &input.ident; - let generics = &input.generics; - let (impl_generics, type_generics, where_clause) = generics.split_for_impl(); - let mut parameter_names = Vec::with_capacity(parameter_fields.len()); - for field in ¶meter_fields { - let Some(ident) = field.ident.as_ref() else { - return syn::Error::new_spanned( - field, - "Optimizable can only be derived for structs with named fields", - ) - .to_compile_error() - .into(); - }; - parameter_names.push(ident); - } - - // Generate the Optimizable implementation (flatten nested parameters with compound names) - let expanded = quote! { - impl #impl_generics #trait_path for #name #type_generics #where_clause { - fn parameters( - &mut self, - ) -> #runtime::__macro_support::indexmap::IndexMap<::std::string::String, &mut dyn #trait_path> { - let mut params: #runtime::__macro_support::indexmap::IndexMap<::std::string::String, &mut dyn #trait_path> = #runtime::__macro_support::indexmap::IndexMap::new(); - #( - { - let __field_name = stringify!(#parameter_names).to_string(); - // SAFETY: We only create disjoint mutable borrows to distinct struct fields - let __field_ptr: *mut dyn #trait_path = &mut self.#parameter_names as *mut dyn #trait_path; - let __child_params: #runtime::__macro_support::indexmap::IndexMap<::std::string::String, &mut dyn #trait_path> = unsafe { (&mut *__field_ptr).parameters() }; - if __child_params.is_empty() { - // Leaf: insert the field itself - unsafe { - params.insert(__field_name, &mut *__field_ptr); - } - } else { - // Composite: flatten children with compound names - for (grand_name, grand_param) in __child_params.into_iter() { - params.insert(format!("{}.{}", __field_name, grand_name), grand_param); - } - } - } - )* - params - } - } - }; - - TokenStream::from(expanded) -} - -fn extract_parameter_fields(input: &DeriveInput) -> syn::Result> { - match &input.data { - Data::Struct(data_struct) => match &data_struct.fields { - Fields::Named(fields_named) => Ok(fields_named - .named - .iter() - .filter(|field| has_parameter_attribute(field)) - .collect()), - _ => Err(syn::Error::new_spanned( - input, - "Optimizable can only be derived for structs with named fields", - )), - }, - _ => Err(syn::Error::new_spanned( - input, - "Optimizable can only be derived for structs", - )), - } -} - -fn has_parameter_attribute(field: &Field) -> bool { - field - .attrs - .iter() - .any(|attr| attr.path().is_ident("parameter")) -} - -#[test] -fn trybuild() { - let t = trybuild::TestCases::new(); - t.pass("tests/optim/*.rs"); -} diff --git a/crates/dsrs-macros/tests/optim/derive_optimizable.rs b/crates/dsrs-macros/tests/optim/derive_optimizable.rs deleted file mode 100644 index 9108ee73..00000000 --- a/crates/dsrs-macros/tests/optim/derive_optimizable.rs +++ /dev/null @@ -1,24 +0,0 @@ -use dspy_rs::{Optimizable, Predict, Signature}; - -#[derive(Signature, Clone, Debug)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(Optimizable)] -struct Pipeline { - #[parameter] - qa: Predict, -} - -fn main() { - let mut pipeline = Pipeline { - qa: Predict::::new(), - }; - let params = dspy_rs::core::module::Optimizable::parameters(&mut pipeline); - let _qa = params.get("qa").expect("qa parameter should be present"); -} diff --git a/docs/docs/optimizers/copro.mdx b/docs/docs/optimizers/copro.mdx index de9536c1..4b89217d 100644 --- a/docs/docs/optimizers/copro.mdx +++ b/docs/docs/optimizers/copro.mdx @@ -29,28 +29,46 @@ let copro = COPRO::builder() ## Usage Example ```rust -use dspy_rs::{COPRO, Optimizer, init_tracing}; +use anyhow::Result; +use bon::Builder; +use dspy_rs::__macro_support::bamltype::facet; +use dspy_rs::{ + COPRO, ChatAdapter, Example, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, + Predicted, Signature, TypedMetric, configure, init_tracing, +}; + +#[derive(Signature, Clone, Debug)] +struct QA { + #[input] + question: String, + + #[output] + answer: String, +} -#[derive(Builder, Optimizable)] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] struct MyModule { - #[parameter] - predictor: Predict, + #[builder(default = Predict::::new())] + predictor: Predict, } impl Module for MyModule { - async fn forward(&self, inputs: Example) -> Result { - self.predictor.forward(inputs).await + type Input = QAInput; + type Output = QAOutput; + + async fn forward(&self, inputs: QAInput) -> Result, PredictError> { + self.predictor.call(inputs).await } } -impl Evaluator for MyModule { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - // Your evaluation logic - if prediction.get("answer", None) == example.get("expected", None) { - 1.0 - } else { - 0.0 - } +struct ExactMatchMetric; + +impl TypedMetric for ExactMatchMetric { + async fn evaluate(&self, example: &Example, prediction: &Predicted) -> Result { + let expected = example.get("answer", None).as_str().unwrap_or("").trim().to_lowercase(); + let actual = prediction.answer.trim().to_lowercase(); + Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } } @@ -73,8 +91,9 @@ async fn main() -> Result<()> { .breadth(10) .depth(3) .build(); + let metric = ExactMatchMetric; - copro.compile(&mut module, trainset).await?; + copro.compile(&mut module, trainset, &metric).await?; Ok(()) } diff --git a/docs/docs/optimizers/gepa-llm-judge.mdx b/docs/docs/optimizers/gepa-llm-judge.mdx index d241cdce..c901ff92 100644 --- a/docs/docs/optimizers/gepa-llm-judge.mdx +++ b/docs/docs/optimizers/gepa-llm-judge.mdx @@ -83,85 +83,103 @@ struct MathJudge { } ``` -### 3. Module with Embedded Judge +### 3. Optimized Module ```rust -#[derive(Builder, Optimizable)] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] struct MathSolver { - #[parameter] - solver: Predict, // This gets optimized - - judge: Predict, // This stays fixed, just evaluates - judge_lm: Arc>, + #[builder(default = Predict::::new())] + solver: Predict, // This gets optimized } ``` -### 4. FeedbackEvaluator with Judge +### 4. TypedMetric with Judge ```rust -impl FeedbackEvaluator for MathSolver { - async fn feedback_metric(&self, example: &Example, prediction: &Prediction) - -> FeedbackMetric - { - // Extract outputs - let student_answer = prediction.get("answer", None).as_str().unwrap(); - let student_reasoning = prediction.get("reasoning", None).as_str().unwrap(); - let expected = example.get("expected_answer", None).as_str().unwrap(); - - // Call the judge - let judge_input = example! { - "problem": "input" => problem, - "expected_answer": "input" => expected, - "student_answer": "input" => student_answer, - "student_reasoning": "input" => student_reasoning - }; - - let judge_output = match self.judge - .forward_with_config(judge_input, Arc::clone(&self.judge_lm)) - .await - { - Ok(output) => output, - Err(_) => { - // Fallback if judge fails - return FeedbackMetric::new( - if student_answer == expected { 1.0 } else { 0.0 }, - format!("Expected: {}, Got: {}", expected, student_answer) +struct LlmJudgeMetric { + judge: Predict, +} + +impl TypedMetric for LlmJudgeMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let problem = example + .data + .get("problem") + .and_then(|value| value.as_str()) + .unwrap_or("") + .to_string(); + let expected = example + .data + .get("expected_answer") + .and_then(|value| value.as_str()) + .unwrap_or("") + .to_string(); + + let student_answer = prediction.answer.clone(); + let student_reasoning = prediction.reasoning.clone(); + let exact_match = student_answer.trim() == expected.trim(); + + let judge_output = self + .judge + .call(MathJudgeInput { + problem: problem.clone(), + expected_answer: expected.clone(), + student_answer: student_answer.clone(), + student_reasoning: student_reasoning.clone(), + }) + .await; + + let (score, evaluation_text) = match judge_output { + Ok(evaluation) => { + let evaluation_text = evaluation.evaluation.clone(); + let evaluation_lc = evaluation_text.to_lowercase(); + let good_reasoning = + evaluation_lc.contains("sound reasoning") + || evaluation_lc.contains("correct approach") + || evaluation_lc.contains("clear"); + let partial_reasoning = + evaluation_lc.contains("partially") + || evaluation_lc.contains("good start") + || evaluation_lc.contains("minor arithmetic") + || evaluation_lc.contains("close"); + + let score = match (exact_match, good_reasoning, partial_reasoning) { + (true, true, _) => 1.0, + (true, false, _) => 0.7, + (false, true, _) | (false, _, true) => 0.3, + (false, false, false) => 0.0, + }; + (score, evaluation_text) + } + Err(err) => { + let fallback = format!( + "judge call failed: {err}; expected={expected}; predicted={student_answer}" ); + ((exact_match as u8 as f32), fallback) } }; - - let judge_evaluation = judge_output - .get("evaluation", None) - .as_str() - .unwrap_or("No evaluation provided") - .to_string(); - - // Score based on both correctness AND reasoning quality - let answer_correct = student_answer.trim() == expected.trim(); - let good_reasoning = judge_evaluation.to_lowercase().contains("sound reasoning") - || judge_evaluation.to_lowercase().contains("correct approach"); - - let score = match (answer_correct, good_reasoning) { - (true, true) => 1.0, // Perfect - (true, false) => 0.7, // Right answer, flawed reasoning - (false, true) => 0.3, // Wrong answer, but valid approach - (false, false) => 0.0, // Completely wrong - }; - - // Combine factual info with judge's analysis - let feedback = format!( - "Problem: {}\nExpected: {}\nPredicted: {}\n\ - Answer: {}\n\nReasoning Quality Analysis:\n{}", - problem, expected, student_answer, - if answer_correct { "CORRECT" } else { "INCORRECT" }, - judge_evaluation + + let feedback = FeedbackMetric::new( + score, + format!( + "problem={problem}\nexpected={expected}\npredicted={student_answer}\njudge={evaluation_text}" + ), ); - - FeedbackMetric::new(score, feedback) + + Ok(MetricOutcome::with_feedback(score, feedback)) } } ``` +`GEPA` itself does not own a special `feedback_metric` hook anymore. +The feedback function lives in your `TypedMetric` implementation, and GEPA enforces that every evaluation returns `MetricOutcome::with_feedback(...)`. +That keeps the optimizer generic while preserving full judge-driven behavior. + ## Key Benefits @@ -224,34 +242,38 @@ GEPA::builder() Best results often come from combining explicit checks with LLM judging: ```rust -async fn feedback_metric(&self, example: &Example, prediction: &Prediction) - -> FeedbackMetric -{ - let mut feedback_parts = vec![]; - let mut score = 1.0; - - // Explicit checks first (fast, cheap, deterministic) - if !is_valid_json(output) { - feedback_parts.push("Invalid JSON format"); - score = 0.0; - } - - if missing_required_fields(output) { - feedback_parts.push("Missing fields: user_id, timestamp"); - score *= 0.5; - } - - // Only call judge if basic checks pass - if score > 0.0 { - let judge_feedback = self.judge_quality(example, prediction).await; - feedback_parts.push(judge_feedback); - - if judge_feedback.contains("low quality") { - score *= 0.7; +impl TypedMetric for HybridMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let mut score = 1.0; + let mut feedback_parts = vec![]; + + // Explicit checks first (fast, cheap, deterministic) + if !is_valid_json(&prediction.result_json) { + feedback_parts.push("Invalid JSON format".to_string()); + score = 0.0; + } + + if score > 0.0 && missing_required_fields(&prediction.result_json) { + feedback_parts.push("Missing fields: user_id, timestamp".to_string()); + score *= 0.5; + } + + // Optional judge pass for qualitative scoring + if score > 0.0 { + let judge_feedback = self.judge_quality(example, prediction).await?; + if judge_feedback.to_lowercase().contains("low quality") { + score *= 0.7; + } + feedback_parts.push(judge_feedback); } + + let feedback = FeedbackMetric::new(score, feedback_parts.join("\n")); + Ok(MetricOutcome::with_feedback(score, feedback)) } - - FeedbackMetric::new(score, feedback_parts.join("\n")) } ``` diff --git a/docs/docs/optimizers/gepa.mdx b/docs/docs/optimizers/gepa.mdx index a191d286..8070dc9b 100644 --- a/docs/docs/optimizers/gepa.mdx +++ b/docs/docs/optimizers/gepa.mdx @@ -46,37 +46,33 @@ Can optimize at test time, not just training time. ## Quick Start -### 1. Implement FeedbackEvaluator +### 1. Implement a Typed Metric with Feedback ```rust use dspy_rs::*; -#[derive(Builder, Optimizable)] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] struct MyModule { - #[parameter] - predictor: Predict, + predictor: Predict, } impl Module for MyModule { - async fn forward(&self, inputs: Example) -> Result { - self.predictor.forward(inputs).await - } -} + type Input = MySignatureInput; + type Output = MySignatureOutput; -// Implement regular Evaluator for non-GEPA optimizers -impl Evaluator for MyModule { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - let feedback = self.feedback_metric(example, prediction).await; - feedback.score + async fn forward(&self, inputs: MySignatureInput) -> Result, PredictError> { + self.predictor.call(inputs).await } } -// Implement FeedbackEvaluator for GEPA -impl FeedbackEvaluator for MyModule { - async fn feedback_metric(&self, example: &Example, prediction: &Prediction) - -> FeedbackMetric +struct MyMetric; + +impl TypedMetric for MyMetric { + async fn evaluate(&self, example: &Example, prediction: &Predicted) + -> Result { - let predicted = prediction.get("answer", None).as_str().unwrap_or(""); + let predicted = prediction.answer.as_str(); let expected = example.get("expected", None).as_str().unwrap_or(""); let correct = predicted == expected; @@ -88,7 +84,7 @@ impl FeedbackEvaluator for MyModule { format!("Incorrect\n Expected: {}\n Predicted: {}", expected, predicted) }; - FeedbackMetric::new(score, feedback) + Ok(MetricOutcome::with_feedback(score, FeedbackMetric::new(score, feedback))) } } ``` @@ -105,7 +101,7 @@ let gepa = GEPA::builder() .maybe_max_rollouts(Some(500)) // Budget control .build(); -let result = gepa.compile_with_feedback(&mut module, trainset).await?; +let result = gepa.compile(&mut module, trainset, &metric).await?; println!("Best score: {:.3}", result.best_candidate.average_score()); println!("Best instruction: {}", result.best_candidate.instruction); @@ -188,7 +184,7 @@ GEPA::builder() ## Understanding GEPA Results ```rust -let result = gepa.compile_with_feedback(&mut module, trainset).await?; +let result = gepa.compile(&mut module, trainset, &metric).await?; // Best candidate found println!("Best instruction: {}", result.best_candidate.instruction); @@ -222,7 +218,7 @@ pub struct FeedbackMetric { ```rust pub struct ExecutionTrace { pub inputs: Example, - pub outputs: Option, + pub outputs: Option, pub feedback: Option, pub intermediate_steps: Vec<(String, serde_json::Value)>, pub errors: Vec, @@ -263,7 +259,7 @@ pub struct GEPACandidate { ## Implementing Feedback Metrics -A well-designed metric is central to GEPA's sample efficiency. The DSRs implementation expects the metric to return a `FeedbackMetric` struct with both a score and rich textual feedback. +A well-designed metric is central to GEPA's sample efficiency. The DSRs implementation expects the metric to return a `MetricOutcome`; for GEPA that means `MetricOutcome::with_feedback(score, FeedbackMetric { ... })`. ### Practical Recipe for GEPA-Friendly Feedback @@ -357,19 +353,21 @@ GEPA::builder() ## Troubleshooting -### Issue: "GEPA requires FeedbackEvaluator trait" +### Issue: "GEPA requires feedback for every evaluated example" ```rust -// Solution: Implement both Evaluator and FeedbackEvaluator -impl Evaluator for MyModule { - async fn metric(&self, example: &Example, prediction: &Prediction) -> f32 { - self.feedback_metric(example, prediction).await.score +// Solution: Return MetricOutcome::with_feedback(...) from TypedMetric::evaluate +impl TypedMetric for MyMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + Ok(MetricOutcome::with_feedback( + 1.0, + FeedbackMetric::new(1.0, "detailed textual feedback"), + )) } } - -impl FeedbackEvaluator for MyModule { - async fn feedback_metric(&self, example: &Example, prediction: &Prediction) - -> FeedbackMetric { ... } -} ``` ### Issue: Slow convergence @@ -401,7 +399,7 @@ let gepa = GEPA::builder() .maybe_valset(Some(my_tasks.clone())) .build(); -let result = gepa.compile_with_feedback(&mut module, my_tasks).await?; +let result = gepa.compile(&mut module, my_tasks, &metric).await?; // Access per-task best scores and outputs let best_scores = result.highest_score_achieved_per_val_task; diff --git a/docs/docs/optimizers/miprov2.mdx b/docs/docs/optimizers/miprov2.mdx index af9df59d..c3eb1ed4 100644 --- a/docs/docs/optimizers/miprov2.mdx +++ b/docs/docs/optimizers/miprov2.mdx @@ -73,8 +73,11 @@ let optimizer = MIPROv2::builder() .minibatch_size(25) .build(); +// Typed metric implementing TypedMetric +let metric = ExactMatchMetric; + // Optimize your module -optimizer.compile(&mut module, train_examples).await?; +optimizer.compile(&mut module, train_examples, &metric).await?; ``` ## Comparison: COPRO vs MIPROv2 vs GEPA diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index 1f02446f..872c01e9 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -37,10 +37,10 @@ Slice 4 verdict: **Implemented**. | `U36` predictor state persistence (`dump_state` / `load_state`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:17`, `crates/dspy-rs/src/predictors/predict.rs:529`, `crates/dspy-rs/src/predictors/predict.rs:536`, `crates/dspy-rs/tests/test_named_parameters.rs:73` | | `U37`, `N23` untyped forward bridge (`forward_untyped(BamlValue)`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:19`, `crates/dspy-rs/src/predictors/predict.rs:472`, `crates/dspy-rs/src/predictors/predict.rs:542`, `crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:63` | | Optimizer internals rewired to new surface (`named_parameters` + dyn handle mutation) | Implemented | `crates/dspy-rs/src/optimizer/copro.rs:98`, `crates/dspy-rs/src/optimizer/mipro.rs:569`, `crates/dspy-rs/src/optimizer/gepa.rs:452` | -| `U50` compile entrypoint fidelity (`optimizer.compile(&mut module, trainset, metric)`) | Deferred | Current Rust surface remains `compile(&mut module, trainset)` bound to legacy `Evaluator` (`crates/dspy-rs/src/optimizer/mod.rs:22`, `crates/dspy-rs/src/evaluate/evaluator.rs:7`). Explicit metric arg / typed evaluator migration deferred to cleanup (C4 debt). | +| `U50` compile entrypoint fidelity (`optimizer.compile(&mut module, trainset, metric)`) | Implemented | `crates/dspy-rs/src/optimizer/mod.rs:17`, `crates/dspy-rs/src/evaluate/evaluator.rs:33`, `crates/dspy-rs/tests/test_optimizer_typed_metric.rs:1`, `crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs:1` | | `S2` Mechanism A strict fidelity (shape-local `dsrs::parameter` payload extraction) | Deferred | Current discovery uses `shape.type_identifier == \"Predict\"` + accessor registry (`crates/dspy-rs/src/core/dyn_predictor.rs:188`, `crates/dspy-rs/src/core/dyn_predictor.rs:45`). Direct generic payload attachment hit compile constraints in current derive expansion; tracked as migration debt. | -Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; U50/C4 and strict S2 mechanism deferred with explicit cleanup targets). +Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; strict S2 mechanism remains deferred with explicit cleanup targets). ## Slice 6 (V6 Dynamic Graph) Accounting @@ -57,23 +57,17 @@ Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; U50/C4 | `N27` distributed factory auto-registration (`inventory::submit!`) | Implemented | `crates/dspy-rs/src/core/dyn_factories.rs:540`, `crates/dspy-rs/src/core/dyn_factories.rs:544`, `crates/dspy-rs/src/core/dyn_factories.rs:548` | | `R8` typed/dynamic prompt parity and dynamic graph real-model smoke | Implemented | `crates/dspy-rs/tests/test_program_graph_execution.rs:269`, `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs:18`, `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs:33` | -Slice 6 verdict: **Implemented** (with explicit post-implementation debt retained for strict S2 attr payload, edge-annotation storage mechanism, and broader TypeIR assignability semantics). +Slice 6 verdict: **Implemented** (with explicit post-implementation debt retained for strict S2 attr payload and broader TypeIR assignability semantics). ## Consolidated Deferred Ledger (Post-Implementation Cleanup) | Deferred item | Why deferred | Target phase | Exit criteria | |---|---|---|---| -| Strict typed `Module` bounds (`Input/Output: BamlType + Facet`) | Compatibility with legacy/untyped module surfaces still present | **Post-Implementation Cleanup** | `Module` bounds tightened and impacted examples/tests migrated | | F12 helper generic bounds threading in generated helper structs | Macro helper constraints still use transitional strategy | **Post-Implementation Cleanup** | Generic helper declarations preserve source generic contract with `dsrs-macros` tests green | | `__phantom` helper-field authoring ergonomics | Generic helper phantom initialization still leaks into same-module literals | **Post-Implementation Cleanup** | No user-facing phantom initialization burden in macro tests/examples | -| Option-C full legacy cutover (`MetaSignature`/`LegacyPredict`) | Legacy compatibility surfaces still active for older flows | **Post-Implementation Cleanup** | Schema-first typed path is sole default path and legacy surfaces are removed/quarantined with migration notes | -| `V5` walker discoverability for additional wrappers/combinators | Deferred by earlier closure audits; only Slice 4 ReAct discoverability addressed now | **Post-Implementation Cleanup** (prep) + **V5 Implement** (completion) | Walker traverses wrapper module trees end-to-end with tests for nested combinator/module stacks | | `V5` strict S2 mechanism (`dsrs::parameter` payload extraction) | Current generic payload attachment path is blocked in current derive expansion; registry fallback was used to keep V5 green | **Post-Implementation Cleanup** | Replace registry/type-name discovery with shape-local typed attr payload extraction or finalize audited equivalent and update spec debt note | -| `V5` U50 typed metric surface (`compile(..., metric)`) | Optimizer compile remains coupled to legacy `Evaluator` / `Example`→`Prediction` IO boundary | **Post-Implementation Cleanup** | Optimizer compile path accepts typed metric/evaluator surface and no longer requires legacy compile bounds | -| GEPA uniform compile entrypoint | `GEPA::compile` intentionally bails and redirects to `compile_with_feedback`; inconsistent with uniform U50 contract | **Post-Implementation Cleanup** | GEPA exposes a functional uniform compile surface (or officially documented trait split) without runtime bailout | -| `V6` edge annotation storage mechanism | V6 uses global shape-id keyed registration for annotations; shape-local Facet attr storage remains deferred | **Post-Implementation Cleanup** | Move edge annotations to shape-local Facet attrs (or ratify global registration path in spec) and remove dual-path ambiguity | | `V6` TypeIR assignability breadth | Current `is_assignable_to` is conservative (exact, nullable widening, simple unions) | **Post-Implementation Cleanup** | Replace with native/complete TypeIR subtyping semantics that cover richer unions/classes/aliases | -| Typed example loading (Shape A) | Training data remains untyped `Vec` — typed loading (`Vec` where `S: Signature`) requires coercing DataLoader, macro-generated `.input()` extractor, and field mapping. Shares boundary with U50 typed metric surface and legacy `Evaluator`/`Example`→`Prediction` coupling. | **Post-Implementation Cleanup** (with U50) | Training data is `Vec` where `S: Signature`; DataLoader produces typed examples with coercion (R11) and graceful error handling (R12); Signature macro generates `.input() -> S::Input` extractor; entire legacy `Example`/`Prediction` optimizer boundary replaced in single pass. Shaping doc: conversation record (2026-02-09). | +| Typed example loading (Shape A) | Training data remains untyped `Vec` — typed loading (`Vec` where `S: Signature`) requires coercing DataLoader, macro-generated `.input()` extractor, and field mapping. | **Post-Implementation Cleanup** | Training data is `Vec` where `S: Signature`; DataLoader produces typed examples with coercion (R11) and graceful error handling (R12); Signature macro generates `.input() -> S::Input` extractor. | ## Cleanup Kickoff Reference @@ -90,6 +84,10 @@ Use that doc as the active decision matrix for: ## Post-Implementation Cleanup Resolved Items - `U29` (`ChainOfThought` Facet discoverability) resolved in code: `crates/dspy-rs/src/modules/chain_of_thought.rs:16`. - `build_system` API/spec mismatch resolved by spec alignment to fallible return (`Result`): `docs/specs/modules/breadboard.md:101`, `docs/specs/modules/design_reference.md:583`. +- Strict typed `Module` bounds resolved in code (`Input/Output: BamlType + Facet`): `crates/dspy-rs/src/core/module.rs:9`. +- Wrapper/combinator walker discoverability resolved for shipped wrappers (`Map`, `AndThen`, `ChainOfThought`, `ReAct`) with canonical-path tests: `crates/dspy-rs/src/core/module_ext.rs:33`, `crates/dspy-rs/tests/test_named_parameters_ref.rs:145`. +- Stage 1 kill pass resolved: legacy optimizer/signature surfaces removed from runtime + proc macros (`MetaSignature`, `LegacyPredict`, `Optimizable`, `LegacySignature`, `#[parameter]`, legacy `Predictor` trait). +- Stage 1 typed metric migration resolved: `Optimizer::compile(&mut module, trainset, metric)` + `TypedMetric` + GEPA feedback-gated `compile` entrypoint are now canonical. ## Validation During Slice 5-6 Closure Audit - `cargo check -p dspy-rs` diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 33024780..810700ef 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,12 +1,14 @@ # Implementation Tracker +> Historical note: entries in this file are an execution log. Older entries may reference removed APIs and are kept as archival context. + ## Current State -- **Slice**: 6 (V6 dynamic graph) -- **Phase**: Post-Implementation Cleanup +- **Slice**: 6 (V6 dynamic graph + Stage 1 cleanup) +- **Phase**: Post-Implementation Cleanup (Stage 1 in progress) - **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` -- **Roadmap**: V6 (dynamic graph) → Kill Pass (legacy deletion) -- **Roadmap rationale**: V5 implementation + closure audit are complete; execution now advances to breadboard V6, then legacy deletion sweep. +- **Roadmap**: Stage 1 cleanup (legacy kill pass + typed metric optimizer path) → remaining post-cleanup debt +- **Roadmap rationale**: Slices 1-6 are implemented; active work is convergence cleanup and API/docs/test hardening. ## Active Subagents | ID | Purpose | Slice | Phase | Status | Notes | @@ -52,19 +54,31 @@ | `019c4582-c2dc-7f81-963c-2b2b2780005d` | Replacement stupidly implementable plan for Slice 6 (V6 dynamic graph) | 6 | Plan | Completed; produced `slice_6.md` with required sections, grounded signatures, and snapshot-then-fit-back contract from the resolved ambiguity (`from_module` immutable projection + `fit` mutable write-back) | | `019c458b-e671-7b13-9b7b-d3921607a791` | Plan refinery against ground truth for Slice 6 | 6 | Plan Refinery | Completed; produced `slice_6_refinery.md` and updated `slice_6.md` with fidelity corrections (`StrategyError`, `format_output_baml`, `insert_between` coverage, execution-order note, `from_parts` visibility tightening) plus two arbitration markers | | `019c45a4-fb62-7e62-8efa-b2d050d15e2c` | Adversarial review against ground truth for Slice 6 | 6 | Adversarial Review | Completed; produced `slice_6_review.md` with 6 findings (2 high, 3 medium, 1 low) used for Slice 6 arbitrate fixes | +| `019c469b-8f1c-7313-9aa8-2f32cabbae39` | Stage 1 adversarial audit #1 (legacy residue) | 6 | Post-Implementation Cleanup | Completed; no P0/P1 code findings, flagged README stale optimizer docs (P2) | +| `019c469b-8f42-74d1-b78b-811190ddfbf1` | Stage 1 adversarial audit #2 (typed API fidelity) | 6 | Post-Implementation Cleanup | Completed; flagged P1 doc/API mismatch (`README` + `gepa.mdx`) and confirmed runtime typed contract | +| `019c469b-8f67-72d2-a0e8-74f56b9f0435` | Stage 1 adversarial audit #3 (typed test matrix) | 6 | Post-Implementation Cleanup | Completed; flagged targeted typed-path coverage gaps (partial-feedback GEPA, input-key conversion guard, nested walker paths, metadata parity) | +| `019c46a5-b446-7c10-8291-ae7b41c09017` | Stage 1 adversarial re-audit A (docs/code consistency) | 6 | Post-Implementation Cleanup | Completed; no P0/P1 mismatches in tracker + closure + breadboard against current code | +| `019c46a5-b46a-77a0-b29e-8a5c6e2e0965` | Stage 1 adversarial re-audit B (typed contract fidelity) | 6 | Post-Implementation Cleanup | Completed; contract validated; re-confirmed README + GEPA user-doc API drift as P1 docs-only debt | +| `019c46a5-b490-7780-b7ee-88624e8ffee7` | Stage 1 adversarial re-audit C (typed coverage matrix) | 6 | Post-Implementation Cleanup | Completed; confirmed prior gaps mostly closed; flagged remaining optimizer parity gap (invalid input_keys guard missing for GEPA/MIPRO at audit start) | ## Decisions & Architectural Notes +- **Stage 1 adversarial re-audit (2026-02-10):** Re-ran 3 independent explorer audits after restoring planner/spec detail updates (`tracker`, `slices_closure_audit`, `breadboard`); no new code-level P0/P1 findings. +- **Stage 1 typed coverage hardening (2026-02-10):** Closed remaining optimizer input-key guard gap by adding invalid `input_keys` failure-path tests for both MIPRO and GEPA (`test_optimizer_typed_metric.rs`, `test_gepa_typed_metric_feedback.rs`) in addition to existing COPRO coverage. +- **Stage 1 docs-risk note (2026-02-10):** Adversarial audits continue to flag user-facing API drift in `README.md` and `docs/docs/optimizers/gepa.mdx` (legacy evaluator/compile snippets); retained as explicit docs-only debt pending owner-approved wording pass. +- **Stage 1 cleanup execution (2026-02-10):** Implemented one-shot removal of legacy optimizer/signature surfaces and migrated optimizer/evaluator APIs to typed metric path (`Optimizer::compile(&mut module, trainset, metric)`, `TypedMetric`, GEPA feedback-gated `compile`). +- **Stage 1 docs convergence (2026-02-10):** Updated active user docs (`README`, optimizer docs) to remove legacy snippets and align examples to typed metric API. +- **Stage 1 audit gates (2026-02-10):** Ran 3 adversarial subagent audits post-apply; resolved all reported P1 findings before closing validation gates. - **State transition (2026-02-10):** Advanced workflow to `Slice 5 / Research` after 4.5-lite completion; V5 is now the active slice. -- **Slice 5 research arbitration (2026-02-10):** Accepted `slice_5_research.md` as implementation baseline. Locked V5 to struct-field walker recursion with explicit container errors (per N18 + S5 deferral), and carried forward the U50 API ambiguity (`metric` arg in breadboard vs current `Evaluator`-bound compile trait) into planning for explicit resolution. +- **Slice 5 research arbitration (2026-02-10):** Accepted `slice_5_research.md` as implementation baseline. Locked V5 to struct-field walker recursion with explicit container errors (per N18 + S5 deferral), and carried forward the U50 API ambiguity (`metric` arg in breadboard vs then-current `Evaluator`-bound compile trait) into planning for explicit resolution. This ambiguity is now closed by Stage 1 cleanup (typed metric compile contract landed). - **Execution heuristic (2026-02-10):** For ambiguous V5 details, follow spec spirit while choosing the shortest correct implementation path; avoid adding migration scaffolding unless required for green builds, and record every shortcut as explicit cleanup debt for post-slice reconciliation. -- **Slice 5 plan review (2026-02-10):** Accepted plan direction for F6/F8 core deliverables and quick-path migration strategy; plan refinery must still arbitrate strict U50/C4 fidelity (typed evaluator replacement vs temporary `Evaluator` carryover) and concrete Facet attribute payload syntax for `PredictAccessorFns`. -- **Slice 5 plan refinery arbitration (2026-02-10):** Resolved all `NEEDS ARBITRATION` markers in `slice_5.md`. Chosen path for this slice: land F6/F8 (`DynPredictor` + walker + optimizer rewiring) with minimal churn by keeping the current `Evaluator` metric boundary temporarily, while explicitly recording C4 typed-evaluator replacement as migration debt for the cleanup pass after V5/V6. +- **Slice 5 plan review (2026-02-10):** Accepted plan direction for F6/F8 core deliverables and quick-path migration strategy; at that time, plan refinery still needed to arbitrate strict U50/C4 fidelity (typed evaluator replacement vs temporary `Evaluator` carryover) and concrete Facet attribute payload syntax for `PredictAccessorFns`. +- **Slice 5 plan refinery arbitration (2026-02-10):** Resolved all `NEEDS ARBITRATION` markers in `slice_5.md`. Chosen path for that slice window: land F6/F8 (`DynPredictor` + walker + optimizer rewiring) with minimal churn by keeping the `Evaluator` metric boundary temporarily, while explicitly recording C4 typed-evaluator replacement as migration debt for post-V5/V6 cleanup. This temporary decision has since been superseded by Stage 1 cleanup. - **Slice 5 implementation validation (2026-02-10):** `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test -p dspy-rs --lib --tests` all pass after V5 rewiring (`named_parameters`, `DynPredictor`, optimizer integrations, and new V5 regression tests). - **Slice 5 mechanism audit (2026-02-10):** Queried Facet indexed resources via Nia to validate S2 Mechanism A (`define_attr_grammar!` + typed attr decode). Attempted direct `#[facet(dsrs::parameter = ...)]` payload path and hit compile blockers for generic function-pointer payload attachment (`E0401`) in current derive expansion. Kept registry-backed accessor mapping for this slice as the shortest correct path and recorded as migration debt for cleanup. - **Slice 5 smoke test (2026-02-10):** Added and ran `crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs` against `openai:gpt-5.2` with `.env` loaded; walker discovered `named_parameters: [\"predictor\"]`, instruction mutation took effect, and call returned `answer: smoke-ok`. - **Slice 5 adversarial arbitration (2026-02-10):** Agreed and fixed finding on pointer/Box container guard gap (`Def::Pointer` now errors as container when it encloses parameter leaves) and agreed on expanding V5 regression coverage (state dump/load roundtrip + deterministic multi-leaf ordering tests). -- **Slice 5 adversarial arbitration (2026-02-10):** Deferred both high findings: (1) S2 Mechanism A attr-payload discovery remains blocked by generic derive constraints in current implementation and is tracked as migration debt; (2) U50 typed metric surface (`compile(..., metric)`) remains deferred per prior C4 decision to avoid duplicate migration churn before cleanup. +- **Slice 5 adversarial arbitration (2026-02-10):** Deferred both high findings at the time: (1) S2 Mechanism A attr-payload discovery remains blocked by generic derive constraints in current implementation and is tracked as migration debt; (2) U50 typed metric surface (`compile(..., metric)`) was temporarily deferred per prior C4 decision to avoid duplicate migration churn before cleanup. Item (2) is now resolved by Stage 1 cleanup. - **Slice 5 adversarial arbitration (2026-02-10):** Deferred GEPA uniform-entrypoint finding and legacy surface cleanup as post-V5/V6 cleanup work; no stale `NEEDS ARBITRATION` markers remain in Slice 5 docs. - **Slice 5 post-fix smoke rerun (2026-02-10):** Re-ran `94-smoke-slice5-optimizer-interface` against `openai:gpt-5.2` after arbitrate fixes; still passes with `answer: smoke-ok`. - **Slice 5 commit (2026-02-10):** Change `ovrlqprm` / `89d83af6` — "slice5: implement optimizer interface with dyn predictor walker". @@ -182,9 +196,8 @@ ## Open Questions -- `Post-Implementation Cleanup` remaining scope: strict typed `Module` bounds, generic-helper/`__phantom` ergonomics, and Option-C legacy-surface cutover (`MetaSignature`/`LegacyPredict`) are still large migrations with broad compatibility impact. -- `V5 Implement`: complete walker discoverability for wrapper/combinator module trees as the canonical replacement for legacy `Optimizable` traversal. -- Untyped `Example`/`Prediction` example policy and evaluator/feedback migration boundary are clarified in the kickoff doc; execution remains open under C2/C3/C4 gates. +- `Post-Implementation Cleanup` remaining scope: generic-helper/`__phantom` ergonomics plus S2/S8 mechanism debt (predict-accessor fallback and graph edge-annotation registry) remain non-trivial migrations with broad compatibility impact. +- Typed metric/evaluator migration boundary is now closed in code (`Optimizer::compile(..., metric)` + `TypedMetric` + GEPA feedback gate); remaining open question is only how aggressively to prune or annotate historical planning notes so they cannot be misread as active API guidance. - Decision matrix and sequencing for cleanup kickoff are now centralized in `docs/plans/modules/phase_4_5_cleanup_kickoff.md`. - ~~`V6`: resolve `ProgramGraph::from_module` mutability contract~~ → **Resolved.** See decision entry below. - `V6`: define v1 graph output contract for multi-sink graphs (single terminal node requirement vs aggregate-output shape). @@ -192,5 +205,4 @@ ## Migration Debt - **V5-S2 accessor fallback:** `crates/dspy-rs/src/core/dyn_predictor.rs` uses runtime `register_predict_accessor(shape.id -> fn)` plus `shape.type_identifier == "Predict"` detection instead of shape-local `dsrs::parameter` payload extraction. Exit criteria: implement attr-driven accessor payload (Mechanism A) or equivalent audited replacement without runtime registry. -- **V5-C4 evaluator bridge:** `Optimizer::compile` remains coupled to legacy `Evaluator` (`Module`) instead of typed metric surface. Exit criteria: land typed evaluator/metric entrypoint and remove legacy IO bound from optimizer compile path. -- **Legacy optimizer surfaces:** `MetaSignature`/`Optimizable` are still present as compatibility shims while DynPredictor path lands. Exit criteria: remove duplicate optimization surface once typed optimizer compile flow is complete and examples are migrated. +- **Resolved in Stage 1 (2026-02-10):** V5-C4 evaluator bridge removed (typed metric entrypoint landed) and legacy optimizer surfaces deleted. diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index 9c689902..a69863c8 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -36,9 +36,9 @@ This breadboard applies the standard methodology to a **Rust library**, not a we **Architectural invariants:** - **Dependency direction is acyclic:** P1 ← P2 ← P3 ← P4. Each layer sees the one below, never above. No cycles. - **S1 (SignatureSchema cache) is the shared backbone:** Written once (immutable after init), read by all Places. Immutable shared state across Places is coupling in name only — it's a computed property of types. If this invariant were ever violated (mutable schema), the whole Place decomposition would collapse. -- **L1/L2 share a compilation unit.** `Predict` implements `DynPredictor` in the same crate (`dspy-rs`). This is intentional dependency inversion: L2 defines the interface (`DynPredictor`), L1 satisfies it. Predict carries `PredictAccessorFns` as a static Shape attribute — zero-cost at runtime (no vtable, no allocation, just static data). **Tradeoff:** zero-registration automatic discovery, paid for with a shared compilation unit. L1 cannot be compiled without L2 type definitions. The layer separation is enforced by API design (P1 users never import L2 types), not by the crate graph. -- **"Structure IS declaration" — with a known hole.** The walker discovers Predict leaves by reflecting on struct fields. Module authors don't annotate `#[parameter]` or implement traversal. BUT: the walker cannot traverse containers (`Vec`, `Option`, `HashMap`, `Box`). Predictors inside containers are invisible to the optimizer. **Mitigation:** N18 errors (not silently skips) when encountering a container whose inner type has `dsrs::parameter`. See S5 (deferred). -- **Module combinators must be Facet-transparent.** Any wrapper that composes modules (Map, AndThen, Pipe) must expose inner modules as struct fields visible to the F6 walker (N18), not behind trait objects. `Map` requires a manual Facet impl walking only `inner: M` (closures are opaque to Facet derive). `BestOfN` has `module: M` as a concrete typed field. If a combinator hides the inner module behind `Box`, the walker cannot find Predict leaves inside — optimization breaks silently. This is the same container limitation as above, applied to combinators. **Path namespace consequence:** Wrapping a module changes path prefixes — `predict` becomes `inner.predict`. Serialized optimizer state (U36) is tied to the module tree shape. Changing the tree (adding/removing a wrapper) invalidates saved state with a clear error, not silent misapplication. +- **L1/L2 share a compilation unit.** `Predict` implements `DynPredictor` in the same crate (`dspy-rs`). This is intentional dependency inversion: L2 defines the interface (`DynPredictor`), L1 satisfies it. **Current mechanism:** accessor fns are resolved through a runtime shape-id registry. Dispatch is registry-only; Predict-like leaves without registration now fail explicitly with `MissingAttr` diagnostics. **Tradeoff:** stable behavior now, explicit S2 migration debt until shape-local payload extraction is available. L1 cannot be compiled without L2 type definitions. The layer separation is enforced by API design (P1 users never import L2 types), not by the crate graph. +- **"Structure IS declaration" — with bounded container support.** The walker discovers Predict leaves by reflecting on struct fields. Module authors don't annotate `#[parameter]` or implement traversal. The current implementation traverses structs plus common containers (`Option`, list/array/slice, `HashMap`, and `Box`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) produce explicit N18 errors rather than silent skips. +- **Module combinators must be Facet-transparent.** Any wrapper that composes modules (Map, AndThen, Pipe) must expose inner modules as struct fields visible to the F6 walker (N18), not behind trait objects. `Map` requires a manual Facet impl walking only `inner: M` (closures are opaque to Facet derive). `BestOfN` has `module: M` as a concrete typed field. If a combinator hides the inner module behind `Box`, the walker cannot find Predict leaves inside — optimization breaks silently. **Path namespace consequence:** Wrapping a module changes path prefixes — `predict` becomes `inner.predict`. Serialized optimizer state (U36) is tied to the module tree shape. Changing the tree (adding/removing a wrapper) invalidates saved state with a clear error, not silent misapplication. **Boundary notes:** - **P1 → P2 boundary:** P1 users *consume* what P2 creates. The blocking test is cognitive: P2 affordances (`#[derive(Augmentation)]`, adapter building blocks, `impl Module`) require understanding prompt pipeline internals, wrapper type mechanics, and Facet composition — a fundamentally different mental model from P1's "pick a module, call it." P2 is a valid separate Place even though nothing physically prevents a P1 user from importing P2 APIs. **Ramp:** Module combinators (U51: `.map()`, `.and_then()`) let P1 users customize output without crossing into P2. The cliff from "use a library module" to "author your own module" has an intermediate step. @@ -50,7 +50,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we - ~~No LM configuration affordance~~ → **Global default with scoped override.** LM is globally scoped (existing `GLOBAL_SETTINGS` infrastructure). `dsrs::with_lm(eval_lm, || ...)` overrides per-call via scoped context. N8 checks scoped context first, falls back to global default. Global LM configuration is existing infrastructure, not breadboarded (see External dependencies). - ~~No batching affordance~~ → **Standalone utility, not a trait method.** `dsrs::forward_all(&module, inputs, concurrency)` → `Vec, PredictError>>` (Vec-of-Results, not Result-of-Vec — individual failures don't abort batch). Module trait stays minimal (`forward` implementation hook + default `call` wrapper). Rationale: a default `forward_batch` on Module forces P2 authors to reason about concurrency composition — BestOfN already runs N concurrent calls per invocation, so default batching would produce `batch_size × N` concurrent LM requests. Standalone utility keeps this concern at P1. See U48. - ~~Error paths underspecified~~ → `PredictError` carries raw LM response + failed field + stage + coercion detail. Error `Display` includes full LM response for iterative debugging. No separate debug API needed for V1. See U49. -- ~~Container traversal silently fails~~ → N18 errors on containers with `dsrs::parameter` inner types. See architectural invariant above. +- ~~Container traversal silently fails~~ → N18 now traverses supported containers (`Option`, lists, maps, `Box`) and errors on unsupported pointer-like containers (`Rc`, `Arc`, etc.) with explicit path/type diagnostics. - ~~Strategy swap blast radius understated~~ → Updated U16 to note output type change. - ~~N12/N13 status~~ → **Keep N13, collapse N12 into N8.** N12 (jsonish coerce) is part of the "text → BamlValue" pipeline inside N8. N13 (try_from_baml_value) is a distinct error boundary: "BamlValue → typed output." Two affordances, two error semantics (N8 failures = coercion/parsing, N13 failures = type mismatch). - ~~Missing P1→P3 handoff~~ → Added U50 (`optimizer.compile(&mut module, trainset, metric)`). Exclusive `&mut` during optimization = no concurrent `forward()`. @@ -64,7 +64,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we **Deferred (acknowledged, out of scope for V1):** - ⚠️ **Operational policy (retries, timeouts, rate limits):** Per-call execution policy — combinators around `call()`. P1 affordances that wire to U9. No new stores, no new coupling. Easy to add, no architectural impact. -- ⚠️ **Container traversal (Vec, Option, HashMap, Box):** Walker errors on containers with `dsrs::parameter` inner types (N18). Full traversal deferred — tracked in S5. +- ⚠️ **Container traversal (remaining):** Common container traversal is implemented (`Option`, lists, maps, `Box`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) still error explicitly in N18; broader pointer/container strategy remains tracked in S5. --- @@ -123,7 +123,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **U43** | P4 | `graph` | `graph.connect(from, from_field, to, to_field)` | call | → N24, → S6 | → Result | F10 | | **U44** | P4 | `graph` | `graph.replace_node(name, node)` | call | → S5, → N24 | → Result | F10 | | **U45** | P4 | `graph` | `graph.execute(input).await` | call | → N25, → N26 | → Result\ | F10 | -| **U46** | P4 | `graph` | `ProgramGraph::from_module(&module)` | call | → N18 (reuses F6 walker) | → ProgramGraph | F10 | +| **U46** | P4 | `graph` | `ProgramGraph::from_module(&module)` / `ProgramGraph::from_module_with_annotations(&module, annotations)` | call | → N18 (reuses F6 walker) | → ProgramGraph | F10 | --- @@ -141,7 +141,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **N15** | P2 | `signature` (macro) | Generic signature macro — `split_for_impl()`, generic param threading, flatten handling | compile | → U4, → U5 (generic variants) | — | F12 | | **N17** | P2/P4 | `dyn_module` | Schema transformation — factory modifies `SignatureSchema` (prepend reasoning, build action schema, etc.) | compute | → N3 | → U38 | F9 | | | | | | | | | | -| **N18** | P3 | `discovery` | `walk_value()` — recursive struct-field traversal via Facet reflection. Internally: checks `dsrs::parameter` on each Shape, extracts `PredictAccessorFns` payload and casts to `&mut dyn DynPredictor` (one audited unsafe boundary — pointer cast through known-layout Shape attribute). Errors on containers (Vec, Option, HashMap) whose inner type has `dsrs::parameter`. | walk | — | → U31 | F6, F8 | +| **N18** | P3 | `discovery` | `walk_value()` — recursive Facet traversal over struct fields and supported containers (`Option`, list/array/slice, `HashMap`, `Box`). Resolves `PredictAccessorFns` through runtime shape-id registration, then casts to `&mut dyn DynPredictor` (one audited unsafe boundary). Predict-like leaves without registration fail explicitly with path diagnostics (`MissingAttr`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) error explicitly with path/type diagnostics. Target state remains shape-local typed attr payload extraction. | walk | — | → U31 | F6, F8 | | **N21** | P3 | `dyn_predictor` | `Demo → Example` — `to_baml_value()` on input + output | convert | — | → U33 | F8 | | **N22** | P3 | `dyn_predictor` | `Example → Demo` — `try_from_baml_value()` gatekeeper (type safety boundary) | convert | → N23 | → S2 | F8 | | **N23** | P3 | `dyn_predictor` | `S::Input::try_from_baml_value(input)` — typed conversion for forward_untyped | convert | → N8 | → U37 | F8 | @@ -232,7 +232,8 @@ U50 (optimizer.compile(&mut module, trainset, metric)) U30 (named_parameters(&mut module)) → N18 (walk_value: recurse through struct fields via Facet reflection, - check dsrs::parameter attr, extract PredictAccessorFns, + resolve PredictAccessorFns via runtime shape-id registry, + fail explicit on unregistered Predict-like leaves, cast to &mut dyn DynPredictor — one audited unsafe boundary) → U31 (Vec<(path, &mut dyn DynPredictor)>) @@ -264,7 +265,10 @@ U43 (graph.connect("input", "question", "cot", "question")) → N24 (TypeIR::is_assignable_to) → S6 (edge stored if valid) U44 (graph.replace_node("cot", new_node)) → S5, re-validates via N24 -U46 (ProgramGraph::from_module(&module)) → N18 (reuses F6 walker) → auto-populates S5/S6 +U46 (ProgramGraph::from_module(&module)) → N18 (reuses F6 walker) → auto-populates S5/S6 with inferred edges + or +U46 (ProgramGraph::from_module_with_annotations(&module, annotations)) + → N18 (reuses F6 walker) → auto-populates S5/S6 with explicit per-call edge wiring U45 (graph.execute(input)) → N25 (topological sort from S5 + S6) @@ -437,7 +441,7 @@ let confident = cot.map(|r| ConfidentAnswer { answer: r.answer.clone(), confiden | # | Affordance | Slice Role | |---|------------|------------| -| U50 | optimizer.compile(&mut module, ...) | P1→P3 entry | +| U50 | optimizer.compile(&mut module, trainset, metric) | P1→P3 entry | | U30, U31 | named_parameters, handle vec | Discovery | | U32 | predictor.schema() | Schema access | | U33, U34 | demos_as_examples / set_demos | Demo mutation | diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index 1b29f4fd..1c7a019d 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -58,10 +58,10 @@ | **F2** | **SignatureSchema (Facet-derived, cached)** — `SignatureSchema::of::()` walks `S::Input` and `S::Output` Facet Shapes to produce an ordered flat field list with TypeIR, docs, constraints, and flatten paths. Cached in `OnceLock`. Used by adapter for prompt formatting/parsing AND by dynamic graph for edge validation. Replaces macro-emitted `FieldSpec` arrays. | | | **F3** | **Augmentation derive + combinator** — `#[derive(Augmentation)]` on a small struct (e.g. `Reasoning { reasoning: String }`) generates: a wrapper type (`WithReasoning`) with `#[flatten]` on inner + `Deref` to inner, and the `Augmentation` trait impl. `Augmented` is a generic signature combinator (same input, wrapped output). Eliminates per-augmentation signature boilerplate. | | | **F4** | **Module trait** — `trait Module { type Input; type Output; async fn forward(&self, input) -> Result, PredictError>; async fn call(&self, input) -> Result, PredictError> { self.forward(input).await } }`. `call` is the canonical user-facing entrypoint; `forward` is the implementation hook/compatibility alias. `Predicted` carries output + metadata with `Deref` for direct field access, mirroring DSPy's `Prediction` convention. `?` works directly on stable Rust because the outer return is `Result`. All prompting strategies implement this: `Predict`, `ChainOfThought`, `ReAct`, `BestOfN`, `Refine`, user-defined modules. This is the swapping/composition interface. | | -| **F5** | **Predict as leaf parameter** — `Predict` holds typed demos `Vec>`, optional instruction override, tools. Only thing that calls the LM. Marked with Facet attribute `dsrs::parameter` for automatic discovery. Implements both `Module` and `DynPredictor` (type-erased optimizer interface). | | -| **F6** | **Facet-powered parameter discovery** — A walker reflects over any `Facet` value, recurses through struct fields, yields `(dotted_path, &dyn DynPredictor)` for every value whose Shape carries `dsrs::parameter`. No manual traversal code. Replaces `#[derive(Optimizable)]` + `#[parameter]`. Container traversal (`Option`/`Vec`/`HashMap`/`Box`) is deferred (S5) — struct-field recursion covers all V1 library modules. | | +| **F5** | **Predict as leaf parameter** — `Predict` holds typed demos `Vec>`, optional instruction override, tools. Only thing that calls the LM. Implements both `Module` and `DynPredictor` (type-erased optimizer interface). Current discovery path uses runtime-registered accessor fns keyed by shape id (registry-only dispatch). Predict-like leaves without registration fail explicitly. | | +| **F6** | **Facet-powered parameter discovery** — A walker reflects over any `Facet` value, recurses through struct fields, and yields `(dotted_path, &dyn DynPredictor)` for predictor leaves. No manual traversal code. Replaces `#[derive(Optimizable)]` + `#[parameter]`. Current implementation uses registry-backed accessor resolution only; target state remains strict shape-local typed attrs (S2 Mechanism A). Container traversal over `Option`/list/map/`Box` is implemented; unsupported pointer-like containers still error explicitly. | | | **F7** | **Adapter building blocks** — ChatAdapter exposes public composable functions: `build_system()`, `format_input()`, `parse_sections()`, `parse_output()`. Modules that need fine-grained control (ReAct action loop) call these directly. Standard modules go through the high-level `format_system_message_typed::()` which calls building blocks internally. All operate on `SignatureSchema` (F2). | | -| **F8** | **DynPredictor vtable** — Type-erased interface for optimizer operations on a Predict leaf: get/set demos (as `Vec`), get/set instruction, get schema, `forward_untyped(BamlValue) -> BamlValue`. Obtained via shape-local accessor payload: `Predict` carries `PredictAccessorFns` as a typed Facet attribute, extracted at discovery time by the walker. Bridges typed Predict to untyped optimizer. | | +| **F8** | **DynPredictor vtable** — Type-erased interface for optimizer operations on a Predict leaf: get/set demos (as `Vec`), get/set instruction, get schema, `forward_untyped(BamlValue) -> BamlValue`. Current runtime obtains handles via registry-backed accessor fns; shape-local accessor payload extraction is the target mechanism once S2 constraints are lifted. Bridges typed Predict to untyped optimizer in both modes. | | | **F9** | **DynModule + StrategyFactory** — `DynModule` is the dynamic equivalent of `Module` (BamlValue in/out, exposes internal predictors). `StrategyFactory` creates a `DynModule` from a `SignatureSchema` + config. Each module type (ChainOfThought, ReAct, etc.) registers a factory. Factories perform schema transformations (prepend reasoning, build action schema from tools, etc.) on `SignatureSchema` directly. | | | **F10** | **ProgramGraph** — Dynamic graph of `Node` (holds `DynModule` + `SignatureSchema`) and `Edge` (from_node.field → to_node.field). Edges validated by TypeIR compatibility at insertion time. Supports `add_node`, `remove_node`, `replace_node`, `connect`, `insert_between`. Execution follows topological order, piping `BamlValue` between nodes. Typed modules can be projected into a graph (via F6 walker) and graph nodes can wrap typed modules internally. | | | **F11** | **Library modules** — Concrete implementations of DSPy's module zoo: `ChainOfThought` (F3 augmentation + Predict), `ReAct` (two Predicts + tool loop + builder API), `BestOfN` (wraps any Module), `Refine` (BestOfN + feedback, scoped context mechanism TBD), `ProgramOfThought` (three ChainOfThought + code interpreter), `MultiChainComparison` (M sources + comparison Predict). Each is generic over Signature, implements Module, and is discoverable via F6. | ⚠️ | @@ -95,7 +95,7 @@ **Notes:** - R2 satisfied by `Deref` coercion on wrapper types — `result.reasoning` is a direct field, `result.answer` resolves via Deref to inner type. S3 confirmed: auto-deref works through multiple layers for field reads and method calls. Pattern matching requires explicit layer-by-layer destructuring (acceptable — documented limitation). -- R4 satisfied by Facet walker (F6) using shape-local accessor payloads (S2: Mechanism A). `#[derive(Facet)]` on the module struct is the only requirement. V1 walker recurses through struct fields only; container traversal deferred (S5). +- R4 satisfied by Facet walker (F6) + DynPredictor handles (F8). Current runtime uses registry-backed accessor lookup with explicit missing-accessor diagnostics for unregistered Predict-like leaves; target remains shape-local accessor payloads (S2 Mechanism A). `#[derive(Facet)]` on the module struct is the only authoring requirement. - R8 satisfied by both paths using `SignatureSchema` (F2) → same adapter building blocks (F7) → same prompt format. --- @@ -137,10 +137,10 @@ All spikes have been investigated and resolved. Full findings in `spikes/S{n}-*. | # | Question | Decision | Spike doc | |---|----------|----------|-----------| | **S1** | Can `#[derive(Signature)]` handle generic type parameters with `#[flatten]` fields? | **Option C: full replacement.** Build `SignatureSchema` from Facet, replace `FieldSpec` everywhere, delete the old system. No incremental migration. | `S1-generic-signature-derive.md` | -| **S2** | How does the Facet walker obtain a usable optimizer handle from a discovered Predict? | **Mechanism A**: shape-local accessor payload (`dsrs::parameter` + fn-pointer `PredictAccessorFns`). Reuses existing `WithAdapterFns` typed-attr pattern. | `S2-dynpredictor-handle-discovery.md` | +| **S2** | How does the Facet walker obtain a usable optimizer handle from a discovered Predict? | **Target:** Mechanism A (shape-local accessor payload). **Current runtime:** registry-backed accessor dispatch (with explicit errors for unregistered Predict-like leaves) while generic attr payload support remains blocked. | `S2-dynpredictor-handle-discovery.md` | | **S3** | Does Rust auto-Deref chain resolve field access through nested augmentation wrappers? | **Yes for reads/methods**, no for pattern matching (don't care). `Deref`-only unless `DerefMut` is proven necessary. | `S3-augmentation-deref-composition.md` | | **S4** | What scoped-context mechanism for Refine's hint injection? | **Deferred.** Mechanism chosen when Refine is built. Findings preserved in spike doc. | `S4-refine-scoped-context.md` | -| **S5** | How does the Facet walker handle Option/Vec/HashMap/Box containers? | **Deferred.** Struct-field recursion covers all V1 library modules. Container traversal when a concrete use case requires it. | `S5-facet-walker-containers.md` | +| **S5** | How does the Facet walker handle Option/Vec/HashMap/Box containers? | **Partially implemented.** Option/list/map/Box traversal is shipped; unsupported pointer-like containers (`Rc`, `Arc`, etc.) still error explicitly and remain deferred for broader policy decisions. | `S5-facet-walker-containers.md` | | **S6** | Migration path from FieldSpec/MetaSignature to Facet-derived SignatureSchema? | **Subsumed by S1 → Option C.** No migration — full replacement. | `S6-migration-fieldspec-to-signatureschema.md` | | **S7** | Can `#[derive(Augmentation)]` generate a generic wrapper from a non-generic struct? What about the `Augmented` phantom type? | **Yes, feasible.** All three derives handle generics. `from_parts`/`into_parts` removed from `Signature` trait — `Augmented` becomes a clean type-level combinator. | `S7-augmentation-derive-feasibility.md` | | **S8** | How does Facet flatten manifest in Shape metadata? | **`field.is_flattened()` flag check + `field.shape()` recurse.** Facet ships `fields_for_serialize()` as reference. Direct mapping to design pseudocode. | `S8-facet-flatten-metadata.md` | @@ -195,7 +195,7 @@ All spikes have been investigated and resolved. Full findings in `spikes/S{n}-*. **R13 (augmentation composition) has the thinnest coverage** — only F3. S3 confirmed auto-deref works for reads/methods, so the risk is mitigated. Pattern matching through nested wrappers requires explicit destructuring — acceptable for a Nice-to-have. -**R4 (automatic discovery) depends on F6 + F8 together.** F6 finds the values, F8 makes them operable. S2 resolved the handle mechanism (shape-local accessor payload). Container traversal deferred (S5) — struct-field recursion is sufficient for V1. +**R4 (automatic discovery) depends on F6 + F8 together.** F6 finds the values, F8 makes them operable. Current runtime uses registry-backed accessor resolution (no heuristic success path); S2 remains the cleanup path for strict shape-local payloads. **R7 (dynamic graph) is the heaviest requirement** — needs F8, F9, AND F10. All three are Layer 3. This is expected — it's the most complex capability. From 5876e52b23197bc219b85ebc940f6cae3fd2d352 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Tue, 10 Feb 2026 15:44:31 -0800 Subject: [PATCH 17/22] some simplification/correctness stuff idk tbh --- crates/dspy-rs/src/core/dyn_predictor.rs | 28 ++- crates/dspy-rs/src/core/program_graph.rs | 143 ++++++++++--- .../tests/test_program_graph_annotations.rs | 32 +++ .../tests/test_program_graph_execution.rs | 37 ++++ .../tests/test_program_graph_mutation.rs | 197 ++++++++++++++++++ .../test_program_graph_projection_fit.rs | 127 ++++++++++- docs/plans/modules/slices_closure_audit.md | 3 +- docs/plans/modules/tracker.md | 11 +- docs/specs/modules/breadboard.md | 16 +- docs/specs/modules/shapes.md | 2 +- 10 files changed, 547 insertions(+), 49 deletions(-) diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index a644a1c6..da867e84 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -66,13 +66,23 @@ pub fn register_predict_accessor( accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, accessor_ref: fn(*const ()) -> *const dyn DynPredictor, ) { + let registration = PredictAccessorFns { + accessor_mut, + accessor_ref, + }; let mut guard = accessor_registry() .lock() .expect("predict accessor registry lock poisoned"); - guard.entry(shape.id).or_insert(PredictAccessorFns { - accessor_mut, - accessor_ref, - }); + if let Some(existing) = guard.get(&shape.id) { + assert_eq!( + *existing, registration, + "conflicting predict accessor registration for shape id={:?} type_identifier={}", + shape.id, + shape.type_identifier + ); + return; + } + guard.insert(shape.id, registration); } #[derive(Debug, thiserror::Error, PartialEq, Eq)] @@ -255,7 +265,7 @@ fn walk_value( } fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet) -> bool { - if is_parameter_shape(shape) || is_predict_type_name(shape) { + if lookup_registered_predict_accessor(shape).is_some() || is_predict_type_name(shape) { return true; } @@ -292,10 +302,6 @@ fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet found } -fn is_parameter_shape(shape: &'static Shape) -> bool { - lookup_registered_predict_accessor(shape).is_some() -} - fn is_predict_type_name(shape: &'static Shape) -> bool { // Temporary diagnostic-only guard: we never use this for successful dispatch. // Success requires a registered accessor; this path exists to fail loudly when @@ -305,7 +311,9 @@ fn is_predict_type_name(shape: &'static Shape) -> bool { fn lookup_registered_predict_accessor(shape: &'static Shape) -> Option { let registry = ACCESSOR_REGISTRY.get()?; - let guard = registry.lock().ok()?; + let guard = registry + .lock() + .expect("predict accessor registry lock poisoned"); guard.get(&shape.id).copied() } diff --git a/crates/dspy-rs/src/core/program_graph.rs b/crates/dspy-rs/src/core/program_graph.rs index f6c02365..10925b83 100644 --- a/crates/dspy-rs/src/core/program_graph.rs +++ b/crates/dspy-rs/src/core/program_graph.rs @@ -1,4 +1,4 @@ -use std::collections::{HashMap, VecDeque}; +use std::collections::{HashMap, HashSet, VecDeque}; use facet::Facet; use indexmap::IndexMap; @@ -52,6 +52,15 @@ pub struct Edge { pub to_field: String, } +impl Edge { + fn matches_endpoints(&self, from: &str, from_field: &str, to: &str, to_field: &str) -> bool { + self.from_node == from + && self.from_field == from_field + && self.to_node == to + && self.to_field == to_field + } +} + #[derive(Debug, Clone, PartialEq, Eq)] pub struct GraphEdgeAnnotation { pub from_node: String, @@ -64,6 +73,8 @@ pub struct GraphEdgeAnnotation { pub enum GraphError { #[error("duplicate node `{name}`")] DuplicateNode { name: String }, + #[error("node name `{name}` is reserved for graph input wiring")] + ReservedNodeName { name: String }, #[error("missing node `{name}`")] MissingNode { name: String }, #[error("missing field `{field}` on node `{node}` ({side})")] @@ -79,6 +90,13 @@ pub enum GraphError { to_node: String, to_field: String, }, + #[error("duplicate edge `{from_node}.{from_field}` -> `{to_node}.{to_field}`")] + DuplicateEdge { + from_node: String, + from_field: String, + to_node: String, + to_field: String, + }, #[error("graph contains cycle")] Cycle, #[error("graph has no sink nodes")] @@ -195,6 +213,12 @@ fn projection_mismatch(path: impl Into, reason: impl Into) -> Gr } } +fn reserved_node_name(name: &str) -> GraphError { + GraphError::ReservedNodeName { + name: name.to_string(), + } +} + fn missing_node(name: &str) -> GraphError { GraphError::MissingNode { name: name.to_string(), @@ -209,6 +233,15 @@ fn missing_field(node: &str, field: &str, side: &'static str) -> GraphError { } } +fn duplicate_edge(from: &str, from_field: &str, to: &str, to_field: &str) -> GraphError { + GraphError::DuplicateEdge { + from_node: from.to_string(), + from_field: from_field.to_string(), + to_node: to.to_string(), + to_field: to_field.to_string(), + } +} + fn sync_node_schema(node: &mut Node) { // Keep schema/module in sync even when callers manually construct Node. node.schema = node.module.schema().clone(); @@ -240,6 +273,9 @@ impl ProgramGraph { node: impl Into, ) -> Result<(), GraphError> { let name = name.into(); + if name == INPUT_NODE { + return Err(reserved_node_name(&name)); + } if self.nodes.contains_key(&name) { return Err(GraphError::DuplicateNode { name }); } @@ -267,6 +303,13 @@ impl ProgramGraph { to_field: &str, ) -> Result<(), GraphError> { self.validate_edge(from, from_field, to, to_field)?; + if self + .edges + .iter() + .any(|edge| edge.matches_endpoints(from, from_field, to, to_field)) + { + return Err(duplicate_edge(from, from_field, to, to_field)); + } self.edges.push(Edge { from_node: from.to_string(), from_field: from_field.to_string(), @@ -277,6 +320,9 @@ impl ProgramGraph { } pub fn replace_node(&mut self, name: &str, node: impl Into) -> Result<(), GraphError> { + if name == INPUT_NODE { + return Err(reserved_node_name(name)); + } if !self.nodes.contains_key(name) { return Err(missing_node(name)); } @@ -320,6 +366,9 @@ impl ProgramGraph { to_field: &str, ) -> Result<(), GraphError> { let inserted_name = inserted_name.into(); + if inserted_name == INPUT_NODE { + return Err(reserved_node_name(&inserted_name)); + } if self.nodes.contains_key(&inserted_name) { return Err(GraphError::DuplicateNode { name: inserted_name, @@ -329,12 +378,7 @@ impl ProgramGraph { let edge_index = self .edges .iter() - .position(|edge| { - edge.from_node == from - && edge.to_node == to - && edge.from_field == from_field - && edge.to_field == to_field - }) + .position(|edge| edge.matches_endpoints(from, from_field, to, to_field)) .ok_or_else(|| { projection_mismatch( format!("{from}.{from_field}->{to}.{to_field}"), @@ -342,6 +386,9 @@ impl ProgramGraph { ) })?; + let mut inserted_node = inserted_node; + sync_node_schema(&mut inserted_node); + let inserted_input = inserted_node .schema .input_fields() @@ -358,6 +405,13 @@ impl ProgramGraph { })? .rust_name .clone(); + if inserted_node.schema.input_fields().len() != 1 || inserted_node.schema.output_fields().len() != 1 + { + return Err(projection_mismatch( + inserted_name, + "insert_between requires inserted node to expose exactly one input and one output field", + )); + } self.nodes.insert(inserted_name.clone(), inserted_node); @@ -382,10 +436,12 @@ impl ProgramGraph { ) { self.nodes.shift_remove(&inserted_name); self.edges.retain(|edge| { - !(edge.from_node == direct_edge.from_node - && edge.to_node == inserted_name - && edge.from_field == direct_edge.from_field - && edge.to_field == inserted_input) + !edge.matches_endpoints( + &direct_edge.from_node, + &direct_edge.from_field, + &inserted_name, + &inserted_input, + ) }); self.edges.insert(edge_index, direct_edge); return Err(err); @@ -502,10 +558,19 @@ impl ProgramGraph { let mut dyn_module: Box = Box::new(crate::core::PredictDynModule::new(predictor.schema().clone())); - let leaves = dyn_module.predictors_mut(); - let Some((_, dyn_predictor)) = leaves.into_iter().next() else { - return Err(projection_mismatch(path, "dynamic module has no predictor leaves")); - }; + let mut leaves = dyn_module.predictors_mut(); + if leaves.len() != 1 { + return Err(projection_mismatch( + path, + format!( + "dynamic module must expose exactly one predictor leaf, found {}", + leaves.len() + ), + )); + } + let (_, dyn_predictor) = leaves + .pop() + .expect("non-empty after explicit predictor count check"); dyn_predictor .load_state(state) .map_err(|err| projection_mismatch(path.clone(), err.to_string()))?; @@ -541,26 +606,56 @@ impl ProgramGraph { { let mut destination = named_parameters(module).map_err(|err| projection_mismatch("", err.to_string()))?; + let destination_index = destination + .iter() + .enumerate() + .map(|(idx, (path, _))| (path.clone(), idx)) + .collect::>(); + let mut matched_destinations = HashSet::with_capacity(destination.len()); for (node_name, node) in &self.nodes { let mut node_predictors = node.module.predictors(); - let Some((_, predictor)) = node_predictors.pop() else { - continue; - }; + if node_predictors.len() != 1 { + return Err(projection_mismatch( + node_name.clone(), + format!( + "graph node must expose exactly one predictor leaf, found {}", + node_predictors.len() + ), + )); + } + let (_, predictor) = node_predictors + .pop() + .expect("non-empty after explicit predictor count check"); let state: PredictState = predictor.dump_state(); - let Some((_, target)) = destination.iter_mut().find(|(path, _)| path == node_name) - else { + let Some(&destination_idx) = destination_index.get(node_name) else { return Err(projection_mismatch( node_name.clone(), "graph node has no matching typed predictor path", )); }; + matched_destinations.insert(destination_idx); + let (_, target) = destination + .get_mut(destination_idx) + .expect("index derived from current destination vector"); target .load_state(state) .map_err(|err| projection_mismatch(node_name.clone(), err.to_string()))?; } + if matched_destinations.len() != destination.len() { + let missing_path = destination + .iter() + .enumerate() + .find_map(|(idx, (path, _))| (!matched_destinations.contains(&idx)).then_some(path)) + .expect("mismatch implies at least one destination path is unmatched"); + return Err(projection_mismatch( + missing_path.clone(), + "typed predictor path has no matching graph node", + )); + } + Ok(()) } @@ -593,14 +688,6 @@ impl ProgramGraph { if !from_field.type_ir.is_assignable_to(&to_field.type_ir) { continue; } - if self.edges.iter().any(|edge| { - edge.from_node == *from_name - && edge.from_field == from_field.rust_name - && edge.to_node == *to_name - && edge.to_field == to_field.rust_name - }) { - continue; - } inferred.push(( from_name.clone(), from_field.rust_name.clone(), diff --git a/crates/dspy-rs/tests/test_program_graph_annotations.rs b/crates/dspy-rs/tests/test_program_graph_annotations.rs index 60f633a2..65548da3 100644 --- a/crates/dspy-rs/tests/test_program_graph_annotations.rs +++ b/crates/dspy-rs/tests/test_program_graph_annotations.rs @@ -90,6 +90,38 @@ fn from_module_with_annotations_rejects_invalid_field_paths() { assert!(matches!(err, GraphError::MissingField { .. })); } +#[test] +fn from_module_with_annotations_rejects_unknown_nodes() { + let module = PlainModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + + let annotations = [GraphEdgeAnnotation { + from_node: "missing".to_string(), + from_field: "answer".to_string(), + to_node: "sink".to_string(), + to_field: "answer".to_string(), + }]; + + let err = ProgramGraph::from_module_with_annotations(&module, &annotations) + .expect_err("unknown annotation nodes should fail projection"); + assert!(matches!(err, GraphError::MissingNode { .. })); +} + +#[test] +fn from_module_with_annotations_rejects_duplicate_explicit_edges() { + let module = PlainModule { + source: Predict::::new(), + sink: Predict::::new(), + }; + + let annotation = source_to_sink_annotation(); + let err = ProgramGraph::from_module_with_annotations(&module, &[annotation.clone(), annotation]) + .expect_err("duplicate explicit annotations should fail projection"); + assert!(matches!(err, GraphError::DuplicateEdge { .. })); +} + #[test] fn from_module_without_annotations_falls_back_to_inference() { let module = PlainModule { diff --git a/crates/dspy-rs/tests/test_program_graph_execution.rs b/crates/dspy-rs/tests/test_program_graph_execution.rs index db6fb222..a1800eb7 100644 --- a/crates/dspy-rs/tests/test_program_graph_execution.rs +++ b/crates/dspy-rs/tests/test_program_graph_execution.rs @@ -227,6 +227,43 @@ async fn program_graph_execute_cycle_errors() { assert!(matches!(err, GraphError::Cycle)); } +#[tokio::test] +async fn program_graph_execute_errors_when_graph_has_no_sink() { + let graph = ProgramGraph::new(); + let input = BamlValue::Class("EmptyInput".to_string(), IndexMap::new()); + + let err = graph + .execute(input) + .await + .expect_err("empty graph should not have a sink"); + assert!(matches!(err, GraphError::NoSink)); +} + +#[tokio::test] +async fn program_graph_execute_errors_when_graph_has_multiple_sinks() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + + let input = BamlValue::Class( + "QuestionToAnswerInput".to_string(), + IndexMap::from([( + "question".to_string(), + BamlValue::String("ambiguous".to_string()), + )]), + ); + + let err = graph + .execute(input) + .await + .expect_err("disconnected graph should produce ambiguous sinks"); + assert!(matches!(err, GraphError::AmbiguousSink { .. })); +} + #[tokio::test] async fn program_graph_execute_accepts_input_pseudonode_edges() { let mut graph = ProgramGraph::new(); diff --git a/crates/dspy-rs/tests/test_program_graph_mutation.rs b/crates/dspy-rs/tests/test_program_graph_mutation.rs index 9962eb9f..6c45c8e4 100644 --- a/crates/dspy-rs/tests/test_program_graph_mutation.rs +++ b/crates/dspy-rs/tests/test_program_graph_mutation.rs @@ -34,6 +34,22 @@ struct AnswerPassthrough { answer_out: String, } +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct MultiPortPassthrough { + #[input] + answer: String, + + #[input] + aux: String, + + #[output] + answer_out: String, + + #[output] + aux_out: String, +} + #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] struct CountToFinal { @@ -147,6 +163,15 @@ fn node_for(schema: &SignatureSchema) -> Node { } } +fn node_with_stale_schema(actual_schema: &SignatureSchema, stale_schema: &SignatureSchema) -> Node { + Node { + schema: stale_schema.clone(), + module: Box::new(NoopDynModule { + schema: actual_schema.clone(), + }), + } +} + fn schema_with_input_type( schema: &'static SignatureSchema, rust_name: &str, @@ -191,6 +216,36 @@ fn program_graph_connect_rejects_type_mismatch() { assert!(matches!(err, GraphError::TypeMismatch { .. })); } +#[test] +fn program_graph_connect_rejects_duplicate_edges() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + let err = graph + .connect("a", "answer", "b", "answer") + .expect_err("duplicate edges should be rejected"); + assert!(matches!(err, GraphError::DuplicateEdge { .. })); +} + +#[test] +fn program_graph_connect_rejects_empty_input_pseudonode_field() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + + let err = graph + .connect("input", " ", "a", "question") + .expect_err("input pseudo-node field must be non-empty"); + assert!(matches!(err, GraphError::ProjectionMismatch { .. })); +} + #[test] fn program_graph_connect_accepts_non_optional_output_into_optional_input() { let mut graph = ProgramGraph::new(); @@ -405,6 +460,40 @@ fn program_graph_replace_node_revalidates_incident_edges() { assert_eq!(graph.edges().len(), 1); } +#[test] +fn program_graph_remove_node_drops_incident_edges() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + let removed = graph.remove_node("b").expect("existing node should remove"); + assert!(removed.schema.input_field_by_rust("answer").is_some()); + assert!(graph.nodes().contains_key("a")); + assert!(!graph.nodes().contains_key("b")); + assert!( + graph.edges().is_empty(), + "removing a node should prune all incident edges" + ); +} + +#[test] +fn program_graph_remove_node_errors_for_unknown_node() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + + let err = graph + .remove_node("missing") + .expect_err("missing nodes should return GraphError::MissingNode"); + assert!(matches!(err, GraphError::MissingNode { .. })); +} + #[test] fn program_graph_insert_between_rewires_edge_and_preserves_validity() { let mut graph = ProgramGraph::new(); @@ -448,6 +537,46 @@ fn program_graph_insert_between_rewires_edge_and_preserves_validity() { ); } +#[test] +fn program_graph_insert_between_uses_module_schema_not_stale_node_schema() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + graph + .insert_between( + "a", + "b", + "middle", + node_with_stale_schema( + SignatureSchema::of::(), + SignatureSchema::of::(), + ), + "answer", + "answer", + ) + .expect("insert_between should validate against the module's live schema"); + + assert_eq!(graph.edges().len(), 2); + assert!( + graph + .edges() + .iter() + .any(|edge| edge.from_node == "a" && edge.to_node == "middle") + ); + assert!( + graph + .edges() + .iter() + .any(|edge| edge.from_node == "middle" && edge.to_node == "b") + ); +} + #[test] fn program_graph_insert_between_missing_fields_is_atomic() { let mut graph = ProgramGraph::new(); @@ -490,3 +619,71 @@ fn program_graph_insert_between_missing_fields_is_atomic() { .any(|edge| edge.from_node == "a" && edge.to_node == "b") ); } + +#[test] +fn program_graph_rejects_reserved_input_node_name() { + let mut graph = ProgramGraph::new(); + let err = graph + .add_node("input", node_for(SignatureSchema::of::())) + .expect_err("`input` is reserved for pseudo-node wiring"); + assert!(matches!(err, GraphError::ReservedNodeName { .. })); +} + +#[test] +fn program_graph_insert_between_requires_single_input_single_output_node() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + let err = graph + .insert_between( + "a", + "b", + "multi", + node_for(SignatureSchema::of::()), + "answer", + "answer", + ) + .expect_err("insert_between should reject multi-port nodes"); + assert!(matches!(err, GraphError::ProjectionMismatch { .. })); + + assert!(graph.nodes().contains_key("a")); + assert!(graph.nodes().contains_key("b")); + assert!(!graph.nodes().contains_key("multi")); + assert!( + graph + .edges() + .iter() + .any(|edge| edge.from_node == "a" && edge.to_node == "b"), + "failed insertion should leave original edge untouched" + ); +} + +#[test] +fn program_graph_insert_between_rejects_reserved_inserted_node_name() { + let mut graph = ProgramGraph::new(); + graph + .add_node("a", node_for(SignatureSchema::of::())) + .unwrap(); + graph + .add_node("b", node_for(SignatureSchema::of::())) + .unwrap(); + graph.connect("a", "answer", "b", "answer").unwrap(); + + let err = graph + .insert_between( + "a", + "b", + "input", + node_for(SignatureSchema::of::()), + "answer", + "answer", + ) + .expect_err("`input` is reserved for pseudo-node wiring"); + assert!(matches!(err, GraphError::ReservedNodeName { .. })); +} diff --git a/crates/dspy-rs/tests/test_program_graph_projection_fit.rs b/crates/dspy-rs/tests/test_program_graph_projection_fit.rs index c503f4c6..756534fa 100644 --- a/crates/dspy-rs/tests/test_program_graph_projection_fit.rs +++ b/crates/dspy-rs/tests/test_program_graph_projection_fit.rs @@ -1,5 +1,8 @@ use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{Predict, ProgramGraph, Signature, named_parameters_ref}; +use dspy_rs::{ + BamlValue, DynModule, DynPredictor, GraphError, LmError, Node, Predict, PredictError, + Predicted, ProgramGraph, Signature, SignatureSchema, named_parameters_ref, +}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] @@ -17,6 +20,83 @@ struct Wrapper { predictor: Predict, } +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct PairWrapper { + left: Predict, + right: Predict, +} + +struct MultiLeafDynModule { + schema: SignatureSchema, + first: Predict, + second: Predict, +} + +impl MultiLeafDynModule { + fn new() -> Self { + Self { + schema: SignatureSchema::of::().clone(), + first: Predict::::new(), + second: Predict::::new(), + } + } +} + +#[async_trait::async_trait] +impl DynModule for MultiLeafDynModule { + fn schema(&self) -> &SignatureSchema { + &self.schema + } + + fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { + vec![ + ("first", &self.first as &dyn DynPredictor), + ("second", &self.second as &dyn DynPredictor), + ] + } + + fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { + vec![ + ("first", &mut self.first as &mut dyn DynPredictor), + ("second", &mut self.second as &mut dyn DynPredictor), + ] + } + + async fn forward( + &self, + _input: BamlValue, + ) -> std::result::Result, PredictError> { + Err(PredictError::Lm { + source: LmError::Provider { + provider: "test".to_string(), + message: "unused".to_string(), + source: None, + }, + }) + } +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct ProduceAnswer { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] +struct ConsumeAnswer { + #[input] + answer: String, + + #[output] + final_answer: String, +} + #[test] fn from_module_snapshot_then_fit_roundtrip() { let mut typed = Wrapper { @@ -68,3 +148,48 @@ fn from_module_snapshot_then_fit_roundtrip() { .instruction(); assert_eq!(after_fit, "graph-updated"); } + +#[test] +fn fit_errors_when_graph_is_missing_typed_predictor_path() { + let mut typed = PairWrapper { + left: Predict::::new(), + right: Predict::::new(), + }; + + let mut graph = ProgramGraph::from_module(&typed).expect("projection should succeed"); + graph.nodes_mut().shift_remove("right"); + + let err = graph + .fit(&mut typed) + .expect_err("fit should fail when the graph omits a typed predictor path"); + assert!(matches!( + err, + GraphError::ProjectionMismatch { path, .. } if path == "right" + )); +} + +#[test] +fn fit_errors_when_graph_node_exposes_multiple_predictor_leaves() { + let mut typed = Wrapper { + predictor: Predict::::new(), + }; + + let mut graph = ProgramGraph::new(); + graph + .add_node( + "predictor", + Node { + schema: SignatureSchema::of::().clone(), + module: Box::new(MultiLeafDynModule::new()), + }, + ) + .expect("graph node insertion should succeed"); + + let err = graph + .fit(&mut typed) + .expect_err("fit should reject malformed graph nodes"); + assert!(matches!( + err, + GraphError::ProjectionMismatch { path, .. } if path == "predictor" + )); +} diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index 872c01e9..a466e609 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -49,7 +49,7 @@ Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; strict | `U38`, `U39` strategy registry (`registry::create`, `registry::list`) | Implemented | `crates/dspy-rs/src/core/dyn_module.rs:53`, `crates/dspy-rs/src/core/dyn_module.rs:79`, `crates/dspy-rs/src/core/dyn_module.rs:88`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:45` | | `U40` dynamic predictor exposure (`predictors`, `predictors_mut`) | Implemented | `crates/dspy-rs/src/core/dyn_module.rs:29`, `crates/dspy-rs/src/core/dyn_factories.rs:329`, `crates/dspy-rs/src/core/dyn_factories.rs:333`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:63` | | `U41`, `U42` graph construction (`new`, `add_node`) including direct registry node insertion | Implemented | `crates/dspy-rs/src/core/program_graph.rs:162`, `crates/dspy-rs/src/core/program_graph.rs:181`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:68` | -| `U43`, `N24` edge insertion with validation, including breadboard input pseudo-node wiring | Implemented | `crates/dspy-rs/src/core/program_graph.rs:209`, `crates/dspy-rs/src/core/program_graph.rs:601`, `crates/dspy-rs/tests/test_program_graph_mutation.rs:86`, `crates/dspy-rs/tests/test_program_graph_execution.rs:231` | +| `U43`, `N24` edge insertion with validation, including breadboard input pseudo-node wiring, reserved input-node naming, and duplicate-edge rejection | Implemented | `crates/dspy-rs/src/core/program_graph.rs`, `crates/dspy-rs/tests/test_program_graph_mutation.rs`, `crates/dspy-rs/tests/test_program_graph_execution.rs` | | `U44` node replacement + incident-edge revalidation | Implemented | `crates/dspy-rs/src/core/program_graph.rs:226`, `crates/dspy-rs/tests/test_program_graph_mutation.rs:100` | | `U45`, `N25`, `N26` topological execution and BamlValue piping | Implemented | `crates/dspy-rs/src/core/program_graph.rs:349`, `crates/dspy-rs/src/core/program_graph.rs:657`, `crates/dspy-rs/tests/test_program_graph_execution.rs:143`, `crates/dspy-rs/tests/test_program_graph_execution.rs:198` | | `U46` typed→graph projection + fit-back | Implemented | `crates/dspy-rs/src/core/program_graph.rs:453`, `crates/dspy-rs/src/core/program_graph.rs:512`, `crates/dspy-rs/tests/test_program_graph_projection_fit.rs:33` | @@ -88,6 +88,7 @@ Use that doc as the active decision matrix for: - Wrapper/combinator walker discoverability resolved for shipped wrappers (`Map`, `AndThen`, `ChainOfThought`, `ReAct`) with canonical-path tests: `crates/dspy-rs/src/core/module_ext.rs:33`, `crates/dspy-rs/tests/test_named_parameters_ref.rs:145`. - Stage 1 kill pass resolved: legacy optimizer/signature surfaces removed from runtime + proc macros (`MetaSignature`, `LegacyPredict`, `Optimizable`, `LegacySignature`, `#[parameter]`, legacy `Predictor` trait). - Stage 1 typed metric migration resolved: `Optimizer::compile(&mut module, trainset, metric)` + `TypedMetric` + GEPA feedback-gated `compile` entrypoint are now canonical. +- Stage 2 graph/runtime hardening resolved: `ProgramGraph` now reserves pseudo-node name `"input"` for root wiring, rejects duplicate edges explicitly, enforces `insert_between` single-input/single-output contract, synchronizes inserted-node schema from live module state before rewire validation, and enforces strict 1:1 path mapping in `fit(&mut module)` with explicit mismatch errors. ## Validation During Slice 5-6 Closure Audit - `cargo check -p dspy-rs` diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 810700ef..cc434910 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -3,11 +3,11 @@ > Historical note: entries in this file are an execution log. Older entries may reference removed APIs and are kept as archival context. ## Current State -- **Slice**: 6 (V6 dynamic graph + Stage 1 cleanup) -- **Phase**: Post-Implementation Cleanup (Stage 1 in progress) +- **Slice**: 6 (V6 dynamic graph + post-stage hardening) +- **Phase**: Post-Implementation Cleanup (shape/breadboard hardening in progress) - **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` -- **Roadmap**: Stage 1 cleanup (legacy kill pass + typed metric optimizer path) → remaining post-cleanup debt +- **Roadmap**: Stage 1 cleanup (legacy kill pass + typed metric optimizer path) → Stage 2 runtime/docs hardening (shape/breadboard) → remaining post-cleanup debt - **Roadmap rationale**: Slices 1-6 are implemented; active work is convergence cleanup and API/docs/test hardening. ## Active Subagents @@ -63,6 +63,7 @@ ## Decisions & Architectural Notes +- **Stage 2 shape/breadboard hardening (2026-02-10):** Removed global graph-edge annotation registration from active runtime surface in favor of explicit per-call annotations (`from_module_with_annotations`), kept `from_module` canonical, and expanded regression coverage around projection/fit invariants. - **Stage 1 adversarial re-audit (2026-02-10):** Re-ran 3 independent explorer audits after restoring planner/spec detail updates (`tracker`, `slices_closure_audit`, `breadboard`); no new code-level P0/P1 findings. - **Stage 1 typed coverage hardening (2026-02-10):** Closed remaining optimizer input-key guard gap by adding invalid `input_keys` failure-path tests for both MIPRO and GEPA (`test_optimizer_typed_metric.rs`, `test_gepa_typed_metric_feedback.rs`) in addition to existing COPRO coverage. - **Stage 1 docs-risk note (2026-02-10):** Adversarial audits continue to flag user-facing API drift in `README.md` and `docs/docs/optimizers/gepa.mdx` (legacy evaluator/compile snippets); retained as explicit docs-only debt pending owner-approved wording pass. @@ -196,7 +197,7 @@ ## Open Questions -- `Post-Implementation Cleanup` remaining scope: generic-helper/`__phantom` ergonomics plus S2/S8 mechanism debt (predict-accessor fallback and graph edge-annotation registry) remain non-trivial migrations with broad compatibility impact. +- `Post-Implementation Cleanup` remaining scope: generic-helper/`__phantom` ergonomics plus remaining S2 mechanism debt (predict-accessor fallback) and TypeIR assignability breadth remain non-trivial migrations with broad compatibility impact. - Typed metric/evaluator migration boundary is now closed in code (`Optimizer::compile(..., metric)` + `TypedMetric` + GEPA feedback gate); remaining open question is only how aggressively to prune or annotate historical planning notes so they cannot be misread as active API guidance. - Decision matrix and sequencing for cleanup kickoff are now centralized in `docs/plans/modules/phase_4_5_cleanup_kickoff.md`. - ~~`V6`: resolve `ProgramGraph::from_module` mutability contract~~ → **Resolved.** See decision entry below. @@ -205,4 +206,6 @@ ## Migration Debt - **V5-S2 accessor fallback:** `crates/dspy-rs/src/core/dyn_predictor.rs` uses runtime `register_predict_accessor(shape.id -> fn)` plus `shape.type_identifier == "Predict"` detection instead of shape-local `dsrs::parameter` payload extraction. Exit criteria: implement attr-driven accessor payload (Mechanism A) or equivalent audited replacement without runtime registry. +- **V6-TypeIR assignability breadth:** `TypeIR::is_assignable_to` remains intentionally conservative (exact match, nullable widening, simple unions, and structural list/map/tuple checks). Exit criteria: fuller subtyping semantics for richer unions/aliases/classes without destabilizing edge validation. +- **Resolved in Stage 2 (2026-02-10):** S8 global edge-annotation registry debt is closed; active projection surface is explicit per-call annotations (`from_module_with_annotations`) with no ambient global annotation state. - **Resolved in Stage 1 (2026-02-10):** V5-C4 evaluator bridge removed (typed metric entrypoint landed) and legacy optimizer surfaces deleted. diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index a69863c8..13503487 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -120,10 +120,10 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **U40** | P4 | `dyn_module` | `dyn_module.predictors()` / `predictors_mut()` | call | — | → Vec\<(&str, &dyn DynPredictor)\> | F9 | | **U41** | P4 | `graph` | `ProgramGraph::new()` | construct | → S5, → S6 | — | F10 | | **U42** | P4 | `graph` | `graph.add_node(name, node)` | call | → S5 | → Result | F10 | -| **U43** | P4 | `graph` | `graph.connect(from, from_field, to, to_field)` | call | → N24, → S6 | → Result | F10 | +| **U43** | P4 | `graph` | `graph.connect(from, from_field, to, to_field)` (`from == "input"` reserved for pseudo-node root wiring; user nodes cannot be named `"input"`; duplicate edges are rejected explicitly) | call | → N24, → S6 | → Result | F10 | | **U44** | P4 | `graph` | `graph.replace_node(name, node)` | call | → S5, → N24 | → Result | F10 | | **U45** | P4 | `graph` | `graph.execute(input).await` | call | → N25, → N26 | → Result\ | F10 | -| **U46** | P4 | `graph` | `ProgramGraph::from_module(&module)` / `ProgramGraph::from_module_with_annotations(&module, annotations)` | call | → N18 (reuses F6 walker) | → ProgramGraph | F10 | +| **U46** | P4 | `graph` | `ProgramGraph::from_module(&module)` / `ProgramGraph::from_module_with_annotations(&module, annotations)` (explicit per-call annotation projection; no global annotation registry) | call | → N18 (reuses F6 walker) | → Result\ | F10 | --- @@ -265,10 +265,18 @@ U43 (graph.connect("input", "question", "cot", "question")) → N24 (TypeIR::is_assignable_to) → S6 (edge stored if valid) U44 (graph.replace_node("cot", new_node)) → S5, re-validates via N24 -U46 (ProgramGraph::from_module(&module)) → N18 (reuses F6 walker) → auto-populates S5/S6 with inferred edges +U46 (ProgramGraph::from_module(&module)) + → N18 (reuses F6 walker) → projects S5; then uses schema/path inference to populate S6 + → multi-node projections with no resolvable edges return an explicit projection error or U46 (ProgramGraph::from_module_with_annotations(&module, annotations)) - → N18 (reuses F6 walker) → auto-populates S5/S6 with explicit per-call edge wiring + → N18 (reuses F6 walker) → applies explicit per-call annotations first + → if `annotations` is empty, falls back to the same inference path as `from_module` + → no global/ambient annotation registry influences projection + +graph.fit(&mut module) + → applies graph predictor state back to typed predictors by canonical path + → enforces strict 1:1 path mapping and surfaces projection mismatch on divergence U45 (graph.execute(input)) → N25 (topological sort from S5 + S6) diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index 1c7a019d..abda8600 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -63,7 +63,7 @@ | **F7** | **Adapter building blocks** — ChatAdapter exposes public composable functions: `build_system()`, `format_input()`, `parse_sections()`, `parse_output()`. Modules that need fine-grained control (ReAct action loop) call these directly. Standard modules go through the high-level `format_system_message_typed::()` which calls building blocks internally. All operate on `SignatureSchema` (F2). | | | **F8** | **DynPredictor vtable** — Type-erased interface for optimizer operations on a Predict leaf: get/set demos (as `Vec`), get/set instruction, get schema, `forward_untyped(BamlValue) -> BamlValue`. Current runtime obtains handles via registry-backed accessor fns; shape-local accessor payload extraction is the target mechanism once S2 constraints are lifted. Bridges typed Predict to untyped optimizer in both modes. | | | **F9** | **DynModule + StrategyFactory** — `DynModule` is the dynamic equivalent of `Module` (BamlValue in/out, exposes internal predictors). `StrategyFactory` creates a `DynModule` from a `SignatureSchema` + config. Each module type (ChainOfThought, ReAct, etc.) registers a factory. Factories perform schema transformations (prepend reasoning, build action schema from tools, etc.) on `SignatureSchema` directly. | | -| **F10** | **ProgramGraph** — Dynamic graph of `Node` (holds `DynModule` + `SignatureSchema`) and `Edge` (from_node.field → to_node.field). Edges validated by TypeIR compatibility at insertion time. Supports `add_node`, `remove_node`, `replace_node`, `connect`, `insert_between`. Execution follows topological order, piping `BamlValue` between nodes. Typed modules can be projected into a graph (via F6 walker) and graph nodes can wrap typed modules internally. | | +| **F10** | **ProgramGraph** — Dynamic graph of `Node` (holds `DynModule` + `SignatureSchema`) and `Edge` (from_node.field → to_node.field). Edges validated by TypeIR compatibility at insertion time. Supports `add_node`, `remove_node`, `replace_node`, `connect`, `insert_between`. `insert_between` is contract-strict (inserted node must expose exactly one input and one output) and synchronizes schema from the inserted module before validating rewires. Execution follows topological order, piping `BamlValue` between nodes. Typed modules can be projected into a graph (via F6 walker), with optional explicit per-call annotations through `from_module_with_annotations` (no global annotation registry), and graph nodes can wrap typed modules internally. The reserved node name `"input"` is the pseudo-root for runtime input wiring (user nodes cannot use that name), duplicate edge insertions are rejected to keep graph wiring deterministic, and `fit(&mut module)` enforces strict 1:1 path mapping when writing graph state back into typed predictors. | | | **F11** | **Library modules** — Concrete implementations of DSPy's module zoo: `ChainOfThought` (F3 augmentation + Predict), `ReAct` (two Predicts + tool loop + builder API), `BestOfN` (wraps any Module), `Refine` (BestOfN + feedback, scoped context mechanism TBD), `ProgramOfThought` (three ChainOfThought + code interpreter), `MultiChainComparison` (M sources + comparison Predict). Each is generic over Signature, implements Module, and is discoverable via F6. | ⚠️ | | **F12** | **Generic Signature derive** — `#[derive(Signature)]` works on structs with generic type parameters (e.g. `ActionStep`) and `#[flatten]` fields. The generated `Input`/`Output` types carry the generic parameters through. Required for module authors who define custom multi-field signatures. Implementation path: generic forwarding in macro + path-aware runtime metadata bridge + path-based adapter format/parse (see S1). | | From dea9a19212d3c9cbe3218d930e288d5d2062bc6e Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Tue, 10 Feb 2026 22:13:18 -0800 Subject: [PATCH 18/22] docs! --- crates/dspy-rs/src/augmentation.rs | 37 +++++++ crates/dspy-rs/src/core/dyn_predictor.rs | 96 ++++++++++++++++++- crates/dspy-rs/src/core/errors.rs | 63 ++++++++++++ crates/dspy-rs/src/core/module.rs | 90 +++++++++++++++++ crates/dspy-rs/src/core/module_ext.rs | 28 ++++++ crates/dspy-rs/src/core/predicted.rs | 72 ++++++++++++++ crates/dspy-rs/src/core/schema.rs | 44 +++++++++ crates/dspy-rs/src/core/signature.rs | 42 ++++++++ crates/dspy-rs/src/lib.rs | 13 +++ .../dspy-rs/src/modules/chain_of_thought.rs | 32 +++++++ crates/dspy-rs/src/predictors/predict.rs | 68 +++++++++++++ 11 files changed, 584 insertions(+), 1 deletion(-) diff --git a/crates/dspy-rs/src/augmentation.rs b/crates/dspy-rs/src/augmentation.rs index 1e890ba0..96e37861 100644 --- a/crates/dspy-rs/src/augmentation.rs +++ b/crates/dspy-rs/src/augmentation.rs @@ -4,7 +4,35 @@ use std::ops::Deref; use crate::{BamlType, Signature}; use facet::Facet; +/// Adds fields to a signature's output that the LM actually produces. +/// +/// This is a prompt modification, not metadata. When [`ChainOfThought`](crate::ChainOfThought) +/// uses [`Reasoning`](crate::Reasoning), the LM literally sees `reasoning: String` in its +/// output format and generates text for it. Compare with [`CallMetadata`](crate::CallMetadata), +/// which is runtime bookkeeping the LM never sees. +/// +/// Usually derived: +/// +/// ``` +/// use dspy_rs::*; +/// +/// #[derive(Augmentation, Clone, Debug)] +/// #[augment(output, prepend)] +/// struct Confidence { +/// #[output] confidence: f64, +/// } +/// // Generates: WithConfidence wrapper with Deref +/// ``` +/// +/// The generated wrapper implements `Deref`, so you get both the augmented +/// field (`result.confidence`) and the base fields (`result.answer`) without naming +/// the wrapper type. +/// +/// Augmentations compose via tuples: `(Reasoning, Confidence)` wraps as +/// `WithReasoning>`. Auto-deref chains for field reads. Pattern +/// matching requires explicit destructuring through each layer — acceptable tradeoff. pub trait Augmentation: Send + Sync + 'static { + /// The wrapper type that adds this augmentation's fields around an inner output `T`. type Wrap Facet<'a> + Send + Sync>: BamlType + for<'a> Facet<'a> + Deref @@ -12,6 +40,14 @@ pub trait Augmentation: Send + Sync + 'static { + Sync; } +/// Type-level combinator: signature `S` with augmentation `A` applied to its output. +/// +/// Same input as `S`, output is `A::Wrap`. This is how +/// [`ChainOfThought`](crate::ChainOfThought) works internally: +/// `Predict>` has output `WithReasoning`. +/// +/// You typically don't use this directly — library modules wire it up for you. +/// Module authors use it when building new augmented strategies. #[derive(Clone, Copy, Default)] pub struct Augmented { _marker: PhantomData<(S, A)>, @@ -46,4 +82,5 @@ impl Augmentation for (A, B) { type Wrap Facet<'a> + Send + Sync> = A::Wrap>; } +/// Convenience alias: the output type of `Augmented`. pub type AugmentedOutput = ::Wrap<::Output>; diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index da867e84..82bc8a77 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -7,24 +7,79 @@ use facet::{ConstTypeId, Def, Facet, KnownPointer, Shape, Type, UserType}; use crate::{BamlValue, Example, PredictError, Predicted, SignatureSchema}; +/// Type-erased optimizer handle to a [`crate::Predict`] leaf. +/// +/// Optimizers need to inspect and mutate Predict parameters (demos, instructions) +/// without knowing the concrete signature type. This trait bridges that gap. An +/// optimizer iterates over `(path, &mut dyn DynPredictor)` pairs from +/// [`named_parameters`] and works entirely through this interface: +/// +/// ``` +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// let mut predict = Predict::::new(); +/// for (path, predictor) in named_parameters(&mut predict).unwrap() { +/// let demos = predictor.demos_as_examples(); +/// predictor.set_instruction("Be concise.".into()); +/// } +/// ``` +/// +/// Normal users never touch this — you pass your module to `optimizer.compile()` +/// and it uses `DynPredictor` internally. +/// +/// Note: [`forward_untyped`](DynPredictor::forward_untyped) goes through a +/// `BamlValue → typed → LM call → typed → BamlValue` round-trip. Fine for +/// optimizer eval loops, but not the fast path for production calls. #[async_trait::async_trait] pub trait DynPredictor: Send + Sync { + /// Returns the [`SignatureSchema`] for this predictor's signature. fn schema(&self) -> &SignatureSchema; + + /// Returns the current instruction (override or default from the signature). fn instruction(&self) -> String; + + /// Overrides the instruction for this predictor. fn set_instruction(&mut self, instruction: String); + + /// Returns current demos as type-erased [`Example`]s. fn demos_as_examples(&self) -> Vec; + + /// Sets demos from type-erased [`Example`]s, converting to typed `Demo` internally. + /// + /// # Errors + /// + /// Returns an error if any example can't be converted to the predictor's typed + /// `Demo` (schema mismatch). fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; + + /// Snapshots the predictor's mutable state (demos + instruction override). fn dump_state(&self) -> PredictState; + + /// Restores predictor state from a snapshot. + /// + /// # Errors + /// + /// Returns an error if the demos can't be converted to the predictor's typed format. fn load_state(&mut self, state: PredictState) -> Result<()>; + + /// Runs the predictor with untyped input/output for optimizer evaluation loops. async fn forward_untyped( &self, input: BamlValue, ) -> std::result::Result, PredictError>; } +/// Serializable snapshot of a [`crate::Predict`]'s mutable state. +/// +/// Contains demos (as type-erased [`Example`]s) and the instruction override. +/// Used by [`DynPredictor::dump_state`]/[`DynPredictor::load_state`] for +/// saving and restoring optimized parameters. #[derive(Clone, Debug, Default)] pub struct PredictState { + /// The demos as type-erased examples. pub demos: Vec, + /// The instruction override, if any. pub instruction_override: Option, } @@ -85,16 +140,52 @@ pub fn register_predict_accessor( guard.insert(shape.id, registration); } +/// Error from [`named_parameters`] when the Facet walker encounters an unsupported structure. #[derive(Debug, thiserror::Error, PartialEq, Eq)] pub enum NamedParametersError { + /// A `Predict` leaf was found inside an unsupported container (`Rc`, `Arc`, etc.). #[error("container `{ty}` at `{path}` contains a parameter leaf")] Container { path: String, ty: &'static str }, + + /// A `Predict`-like leaf was found but hasn't registered its accessor functions. + /// This means `Predict::new()` or `Predict::builder().build()` was never called for + /// this concrete `Predict`. + // NOTE(dsrs-s2): Error message will simplify once Facet supports shape-local + // accessor payloads and the global registry workaround is removed. #[error( - "parameter-like leaf at `{path}` is missing a registered accessor (S2 fallback is active; exit criteria: shape-local accessor payloads)" + "parameter-like leaf at `{path}` has no registered accessor — was `Predict::new()` or `.build()` called for this concrete type?" )] MissingAttr { path: String }, } +/// Discovers all [`crate::Predict`] leaves in a module by walking its struct fields. +/// +/// Returns `(dotted_path, &mut dyn DynPredictor)` pairs. Paths reflect the field +/// hierarchy: a `ChainOfThought` inside field `answer` yields `"answer.predictor"`. +/// +/// Takes exclusive `&mut` — you can't `call()` the module during discovery. This is +/// intentional: optimization needs to mutate state without races. +/// +/// The walker follows struct fields and common containers (`Option`, `Vec`, +/// `HashMap`, `Box`). It does not follow `Rc`, `Arc`, or other smart +/// pointers — those error explicitly. If a `Predict` leaf exists but wasn't +/// constructed via `new()`/`build()`, you get [`NamedParametersError::MissingAttr`] +/// (the accessor wasn't registered — see [`crate::Predict`] doc on construction). +/// +/// # Errors +/// +/// - [`Container`](NamedParametersError::Container): `Predict` inside unsupported container +/// - [`MissingAttr`](NamedParametersError::MissingAttr): `Predict` without registered accessor +/// +/// ``` +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// let mut predict = Predict::::new(); +/// for (path, predictor) in named_parameters(&mut predict).unwrap() { +/// println!("{}: {} demos", path, predictor.demos_as_examples().len()); +/// } +/// ``` #[tracing::instrument(level = "debug", name = "dsrs.named_parameters", skip(module))] pub fn named_parameters( module: &mut M, @@ -115,6 +206,9 @@ where Ok(handles) } +/// Like [`named_parameters`], but with shared `&` access (read-only). +/// +/// Useful for inspecting parameter state without exclusive access. #[tracing::instrument(level = "debug", name = "dsrs.named_parameters_ref", skip(module))] pub fn named_parameters_ref( module: &M, diff --git a/crates/dspy-rs/src/core/errors.rs b/crates/dspy-rs/src/core/errors.rs index 7d37d8ea..bc206dbf 100644 --- a/crates/dspy-rs/src/core/errors.rs +++ b/crates/dspy-rs/src/core/errors.rs @@ -2,6 +2,7 @@ use std::{error::Error as StdError, time::Duration}; use crate::{BamlConvertError, BamlValue, LmUsage}; +/// Error from the jsonish coercion layer when LM output can't be parsed as a typed value. #[derive(Debug)] pub struct JsonishError(pub(crate) anyhow::Error); @@ -23,24 +24,54 @@ impl From for JsonishError { } } +/// Coarse error classification for retry and routing logic. +/// +/// Use [`PredictError::class`] to get this. `Temporary` errors are generally retryable; +/// `BadResponse` suggests a prompt-engineering problem; `Internal` means a code bug. #[derive(Debug, Copy, Clone, Eq, PartialEq)] pub enum ErrorClass { + /// The request itself was malformed. BadRequest, + /// The requested resource doesn't exist. NotFound, + /// Access denied by the provider. Forbidden, + /// Transient failure (network, rate limit, timeout, server 5xx) — retry may help. Temporary, + /// The LM responded, but the output couldn't be parsed — prompt-engineering problem. BadResponse, + /// A bug in the calling code or an unexpected provider response. Internal, } +/// Failure from a [`Module::call`](crate::Module::call) invocation. +/// +/// A call can fail at three stages, and which stage tells you what to do about it: +/// +/// 1. **[`Lm`](PredictError::Lm)** — couldn't reach the LM or it errored. Network, +/// rate limit, timeout. Generally retryable. +/// 2. **[`Parse`](PredictError::Parse)** — the LM responded, but we couldn't extract +/// the expected fields from its output. Prompt-engineering problem. Retryable (the +/// LM might produce different output). Includes the raw response for debugging. +/// 3. **[`Conversion`](PredictError::Conversion)** — we parsed a valid `BamlValue` +/// from the response, but it doesn't fit the Rust output type. Code bug or schema +/// mismatch. **Not retryable** — the same parsed value will fail the same way. +/// +/// Use [`is_retryable`](PredictError::is_retryable) for retry logic. +/// Use [`class`](PredictError::class) for coarse [`ErrorClass`] bucketing. #[derive(Debug, thiserror::Error)] pub enum PredictError { + /// The LM provider failed before returning a response. #[error("LLM call failed")] Lm { #[source] source: LmError, }, + /// The LM responded, but the output couldn't be parsed into the expected fields. + /// + /// `raw_response` contains the full LM output for debugging. `lm_usage` records + /// tokens consumed (you still pay for failed parses). #[error("failed to parse LLM response")] Parse { #[source] @@ -49,10 +80,15 @@ pub enum PredictError { lm_usage: LmUsage, }, + /// The response parsed into a `BamlValue` but doesn't match the typed output struct. + /// + /// "Understood the LM, but the value doesn't fit the Rust type." Usually a code bug + /// or schema mismatch — not something retrying will fix. #[error("failed to convert parsed value to output type")] Conversion { #[source] source: ConversionError, + /// The successfully parsed `BamlValue` that failed type conversion. parsed: BamlValue, }, } @@ -75,11 +111,17 @@ impl PredictError { } } +/// The LM response couldn't be parsed into the expected output fields. +/// +/// Each variant corresponds to a stage in the parse pipeline: +/// section extraction → jsonish coercion → constraint checking. #[derive(Debug, thiserror::Error)] pub enum ParseError { + /// An expected `[[ ## field ## ]]` section marker was not found in the response. #[error("field `{field}` not found in response")] MissingField { field: String, raw_response: String }, + /// The section marker was found, but the content couldn't be extracted. #[error("could not extract field `{field}` from response")] ExtractionFailed { field: String, @@ -87,6 +129,8 @@ pub enum ParseError { reason: String, }, + /// The field text was extracted but couldn't be coerced to the expected type + /// (e.g. `"maybe"` for a `bool` field). #[error("field `{field}` could not be parsed as {expected_type}")] CoercionFailed { field: String, @@ -96,6 +140,7 @@ pub enum ParseError { source: JsonishError, }, + /// A `#[assert(...)]` constraint failed on a successfully parsed field value. #[error("assertion `{label}` failed on field `{field}`")] AssertFailed { field: String, @@ -104,9 +149,11 @@ pub enum ParseError { value: BamlValue, }, + /// Multiple fields failed to parse. Contains all individual errors. #[error("{} field(s) failed to parse", errors.len())] Multiple { errors: Vec, + /// Partially parsed output (fields that did succeed), if any. partial: Option, }, } @@ -130,17 +177,24 @@ impl ParseError { } } +/// A parsed `BamlValue` doesn't match the expected Rust output type. +/// +/// This is distinct from [`ParseError`]: `ParseError` means "couldn't understand the LM text", +/// `ConversionError` means "understood it, but it doesn't fit the typed output struct." #[derive(Debug, thiserror::Error)] pub enum ConversionError { + /// Expected one BamlValue variant, got another (e.g. expected String, got Int). #[error("expected {expected}, got {actual}")] TypeMismatch { expected: &'static str, actual: String, }, + /// A required struct field is missing from the parsed map. #[error("missing required field `{field}` in class `{class}`")] MissingField { class: String, field: String }, + /// The parsed string doesn't match any variant of the target enum. #[error("enum `{enum_name}` has no variant `{got}`")] UnknownVariant { enum_name: String, @@ -158,8 +212,13 @@ impl From for ConversionError { } } +/// The LM provider failed before returning a usable response. +/// +/// All variants except [`Provider`](LmError::Provider) are retryable. +/// Use [`is_retryable`](LmError::is_retryable) for retry logic. #[derive(Debug, thiserror::Error)] pub enum LmError { + /// Could not reach the provider endpoint (DNS, connection refused, etc.). #[error("could not reach {endpoint}")] Network { endpoint: String, @@ -167,15 +226,19 @@ pub enum LmError { source: std::io::Error, }, + /// The provider returned a rate limit response (HTTP 429). #[error("rate limited by provider")] RateLimit { retry_after: Option }, + /// The provider returned an unexpected HTTP status. #[error("invalid response from provider: HTTP {status}")] InvalidResponse { status: u16, body: String }, + /// The request exceeded the configured timeout. #[error("request timed out after {after:?}")] Timeout { after: Duration }, + /// A provider-specific error that doesn't fit the other categories. #[error("provider error from {provider}: {message}")] Provider { provider: String, diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index c88262af..13be93c6 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -4,18 +4,107 @@ use tracing::debug; use crate::{BamlType, Facet, PredictError, Predicted}; +/// Strategy-swapping interface for prompting modules. +/// +/// Everything in dsrs is a Module — a bare LM call ([`crate::Predict`]), +/// chain-of-thought reasoning, a multi-step retrieval pipeline. The trait's purpose +/// is composition through types: swap `Predict` for `ChainOfThought` and the +/// compiler catches every downstream change. That's the design. +/// +/// Two methods: [`call`](Module::call) for callers, [`forward`](Module::forward) for +/// implementors. `call` currently just delegates to `forward` — the split exists so we +/// can add hooks or tracing around `call` without breaking module implementations. +/// +/// # Two kinds of output data +/// +/// Every call returns [`Predicted`](crate::Predicted), which carries: +/// - **`Output`** — what the LM was asked to produce. Shaped by your signature and any +/// augmentations. Accessible directly via `Deref`: `result.answer`, `result.reasoning`. +/// - **[`CallMetadata`](crate::CallMetadata)** — what the runtime observed. Token counts, +/// raw response, constraint results. Never enters a prompt. Via `result.metadata()`. +/// +/// This drives the type system: [`ChainOfThought`](crate::ChainOfThought) changes `Output` +/// because it modifies the prompt (adds a `reasoning` field). A wrapper like `BestOfN` keeps +/// the same `Output` — same prompt, just picks the best result. +/// +/// # Implementing `Module` +/// +/// Implement [`forward`](Module::forward). Derive `Facet` on your struct so the +/// optimizer's walker can find your [`Predict`](crate::Predict) leaves automatically. +/// +/// ```ignore +/// #[derive(Facet)] +/// struct TwoStepQA { +/// retrieve: Predict, +/// answer: ChainOfThought, +/// } +/// +/// impl Module for TwoStepQA { +/// type Input = RetrieveInput; +/// type Output = WithReasoning; +/// +/// async fn forward(&self, input: Self::Input) -> Result, PredictError> { +/// let ctx = self.retrieve.call(input).await?; +/// self.answer.call(AnswerInput { context: ctx.passages.clone() }).await +/// } +/// } +/// ``` +/// +/// Does not handle batching (use [`forward_all`]), retries, or rate limiting. #[allow(async_fn_in_trait)] pub trait Module: Send + Sync { + /// What the module receives. Usually a `Signature`'s generated input struct. type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + + /// What the LM is asked to produce. + /// + /// Augmented modules change this (e.g. [`crate::ChainOfThought`] wraps it with + /// `WithReasoning<_>` because the LM now generates a reasoning field). Wrapper modules + /// that don't modify the prompt keep the inner module's output — their bookkeeping + /// lives on [`crate::CallMetadata`], not here. type Output: BamlType + for<'a> Facet<'a> + Send + Sync; + /// The implementation hook. Module authors put their execution logic here. + /// + /// Callers should use [`call`](Module::call) instead. async fn forward(&self, input: Self::Input) -> Result, PredictError>; + /// Runs the module. This is what you call. + /// + /// Delegates to [`forward`](Module::forward). The split exists for future + /// hooks/tracing/middleware. async fn call(&self, input: Self::Input) -> Result, PredictError> { self.forward(input).await } } +/// Runs a module on many inputs concurrently. +/// +/// Returns `Vec>`, not `Result>` — individual failures don't +/// abort the batch. Results preserve input order regardless of completion order. +/// +/// Shows a progress bar on stderr. Use [`forward_all_with_progress`] to disable it. +/// +/// ```no_run +/// # async fn example() -> Result<(), Box> { +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// let predict = Predict::::new(); +/// let inputs = vec![ +/// QAInput { question: "What is 2+2?".into() }, +/// QAInput { question: "What is 3+3?".into() }, +/// ]; +/// let results = forward_all(&predict, inputs, 5).await; +/// for result in results { +/// match result { +/// Ok(predicted) => println!("{}", predicted.answer), +/// Err(e) => eprintln!("failed: {e}"), +/// } +/// } +/// # Ok(()) +/// # } +/// ``` #[tracing::instrument( name = "dsrs.forward_all", level = "debug", @@ -33,6 +122,7 @@ where forward_all_with_progress(module, inputs, max_concurrency, true).await } +/// Like [`forward_all`], but with explicit control over the progress bar. #[tracing::instrument( name = "dsrs.forward_all_with_progress", level = "debug", diff --git a/crates/dspy-rs/src/core/module_ext.rs b/crates/dspy-rs/src/core/module_ext.rs index 96cab181..7586b203 100644 --- a/crates/dspy-rs/src/core/module_ext.rs +++ b/crates/dspy-rs/src/core/module_ext.rs @@ -4,7 +4,25 @@ use crate::{BamlType, Facet, PredictError, Predicted}; use super::Module; +/// Output transformation combinators for any [`Module`]. +/// +/// Post-process a module's output without writing a full `impl Module`. This is +/// the intermediate step between "use a library module" and "author your own" — +/// if you just need to reshape the output, a closure is enough. +/// +/// The inner module's [`crate::Predict`] leaves remain visible to the Facet walker, +/// so optimizer discovery works through these wrappers. +/// +/// ```ignore +/// // Transform output without impl Module +/// let confident = cot.map(|r| ConfidentAnswer { +/// answer: r.answer.clone(), +/// confidence: 0.9, +/// }); +/// let result = confident.call(input).await?; +/// ``` pub trait ModuleExt: Module + Sized { + /// Transforms the output with an infallible closure. Returns a [`Map`] wrapper. fn map(self, map: F) -> Map where F: Fn(Self::Output) -> T + Send + Sync + 'static, @@ -16,6 +34,7 @@ pub trait ModuleExt: Module + Sized { } } + /// Transforms the output with a fallible closure. Returns an [`AndThen`] wrapper. fn and_then(self, and_then: F) -> AndThen where F: Fn(Self::Output) -> Result + Send + Sync + 'static, @@ -30,6 +49,12 @@ pub trait ModuleExt: Module + Sized { impl ModuleExt for M {} +/// Output transformation wrapper created by [`ModuleExt::map`]. +/// +/// Delegates to the inner module, then applies the closure to the output. +/// The inner module's [`crate::Predict`] leaves remain visible to Facet reflection +/// (the `inner` field is a real struct field), so optimizers can still discover and +/// tune parameters through this wrapper. #[derive(facet::Facet)] #[facet(crate = facet)] pub struct Map @@ -57,6 +82,9 @@ where } } +/// Fallible output transformation wrapper created by [`ModuleExt::and_then`]. +/// +/// Like [`Map`], but the closure returns `Result`. #[derive(facet::Facet)] #[facet(crate = facet)] pub struct AndThen diff --git a/crates/dspy-rs/src/core/predicted.rs b/crates/dspy-rs/src/core/predicted.rs index 851b5b55..c40940c2 100644 --- a/crates/dspy-rs/src/core/predicted.rs +++ b/crates/dspy-rs/src/core/predicted.rs @@ -5,27 +5,57 @@ use rig::message::ToolCall; use crate::{Flag, LmUsage}; +/// Per-field details from parsing an LM response. +/// +/// Each output field gets a `FieldMeta` recording the raw text the LM produced for that +/// field, any flags raised during parsing, and the results of constraint checks. #[derive(Debug, Clone)] pub struct FieldMeta { + /// The raw text the LM produced for this field, before coercion. pub raw_text: String, + /// Flags raised during parsing (e.g. jsonish coercion warnings). pub flags: Vec, + /// Results of `#[check(...)]` and `#[assert(...)]` constraints on this field. pub checks: Vec, } +/// Outcome of evaluating a single constraint on a field value. #[derive(Debug, Clone)] pub struct ConstraintResult { + /// The constraint's label (from `#[check("label", ...)]`). pub label: String, + /// The constraint expression that was evaluated. pub expression: String, + /// Whether the constraint passed. pub passed: bool, } +/// Runtime bookkeeping from a single LM call — what happened, not what was asked. +/// +/// Carried by [`Predicted`] alongside the typed output. None of this enters any prompt. +/// Token counts, the raw response text, tool invocations, and per-field parse details +/// all live here. +/// +/// ``` +/// use dspy_rs::CallMetadata; +/// +/// let meta = CallMetadata::default(); +/// assert_eq!(meta.lm_usage.total_tokens, 0); +/// assert!(!meta.has_failed_checks()); +/// ``` #[derive(Debug, Clone)] pub struct CallMetadata { + /// The full text the LM returned, before any parsing. pub raw_response: String, + /// Token usage for this call (prompt, completion, total). pub lm_usage: LmUsage, + /// Tool calls the LM requested during this invocation. pub tool_calls: Vec, + /// Results from executing tool calls. pub tool_executions: Vec, + /// Trace node ID, if tracing is active. pub node_id: Option, + /// Per-field parse details, keyed by field name. pub field_meta: IndexMap, } @@ -97,6 +127,44 @@ impl CallMetadata { } } +/// Typed output paired with call metadata from a module invocation. +/// +/// Two channels of information come back from every [`Module::call`](crate::Module::call): +/// +/// 1. **The output `O`** — fields the LM actually produced, shaped by the signature. +/// For `Predict`: `QAOutput { answer }`. For `ChainOfThought`: +/// `WithReasoning` (reasoning is a real prompt field the LM generates). +/// +/// 2. **[`CallMetadata`]** — runtime bookkeeping. Token counts, raw response text, +/// tool call records, per-field constraint results. Never enters any prompt. +/// +/// `Predicted` derefs to `O`, so output fields are directly accessible: `result.answer`. +/// Metadata is separate: `result.metadata()`. +/// +/// This distinction matters for module authors: if your module changes what the LM is +/// asked to produce (like adding `reasoning`), change `Output`. If it just selects or +/// transforms results (like `BestOfN` picking the best of N attempts), keep the same +/// `Output` — selection info is metadata, not a prompt field. +/// +/// Note: [`CallMetadata`] is a fixed struct, not an extensible bag. There's currently no +/// mechanism for modules to attach custom metadata (e.g. "which attempt won"). Known +/// limitation. +/// +/// ``` +/// use dspy_rs::{Predicted, CallMetadata}; +/// +/// #[derive(Debug)] +/// struct QAOutput { answer: String } +/// +/// let result = Predicted::new( +/// QAOutput { answer: "42".into() }, +/// CallMetadata::default(), +/// ); +/// assert_eq!(result.answer, "42"); // output field via Deref +/// let _usage = &result.metadata().lm_usage; // runtime info, never in prompts +/// let (output, meta) = result.into_parts(); // decompose for ownership +/// assert_eq!(output.answer, "42"); +/// ``` #[derive(Debug, Clone)] pub struct Predicted { output: O, @@ -104,18 +172,22 @@ pub struct Predicted { } impl Predicted { + /// Creates a new `Predicted` from an output value and call metadata. pub fn new(output: O, metadata: CallMetadata) -> Self { Self { output, metadata } } + /// Returns the call metadata (raw response, token usage, tool calls, field-level details). pub fn metadata(&self) -> &CallMetadata { &self.metadata } + /// Unwraps the typed output, discarding metadata. pub fn into_inner(self) -> O { self.output } + /// Splits into the typed output and call metadata. pub fn into_parts(self) -> (O, CallMetadata) { (self.output, self.metadata) } diff --git a/crates/dspy-rs/src/core/schema.rs b/crates/dspy-rs/src/core/schema.rs index 01296949..386d2598 100644 --- a/crates/dspy-rs/src/core/schema.rs +++ b/crates/dspy-rs/src/core/schema.rs @@ -10,6 +10,12 @@ use bamltype::internal_baml_jinja::types::OutputFormatContent; use crate::{Constraint, ConstraintKind, ConstraintSpec, Signature}; +/// Dotted path to a field within a signature, accounting for `#[flatten]` nesting. +/// +/// A field `answer` at the top level has path `["answer"]`. A field `reasoning` inside +/// a flattened `WithReasoning` wrapper has path `["inner", "reasoning"]` (or however the +/// flatten tree is structured). Used by the adapter for path-aware parsing and by +/// [`SignatureSchema`] for field lookup. #[derive(Debug, Clone, PartialEq, Eq, Hash)] pub struct FieldPath { parts: Vec<&'static str>, @@ -39,23 +45,43 @@ impl FieldPath { } } +/// Static metadata for a single signature field, emitted by `#[derive(Signature)]`. +/// +/// Carries the Rust field name, optional LM-facing alias, constraint specs, and +/// format hints. Fed into [`SignatureSchema`] construction alongside Facet shape data. #[derive(Debug, Clone, Copy)] pub struct FieldMetadataSpec { + /// The Rust field name as written in the signature struct. pub rust_name: &'static str, + /// Optional alias for the LM prompt (e.g. `#[rename = "query"]` on a `question` field). pub alias: Option<&'static str>, + /// Constraint specs from `#[check(...)]` and `#[assert(...)]` attributes. pub constraints: &'static [ConstraintSpec], + /// Optional format hint (e.g. `#[format = "json"]`). pub format: Option<&'static str>, } +/// Complete schema for a single field in a signature, combining Facet shape data with metadata. +/// +/// Used by the adapter for prompt formatting and response parsing, and by the dynamic graph +/// for edge type validation. #[derive(Debug, Clone)] pub struct FieldSchema { + /// The field name shown to the LM (may differ from Rust name via aliasing). pub lm_name: &'static str, + /// The dotted Rust path (e.g. `"inner.reasoning"` for flattened fields). pub rust_name: String, + /// Documentation extracted from the field's doc comment. pub docs: String, + /// Type representation used for edge validation and output format generation. pub type_ir: TypeIR, + /// The Facet shape of this field's type. pub shape: &'static Shape, + /// Path through the flatten tree to reach this field. pub path: FieldPath, + /// Constraints declared on this field. pub constraints: &'static [ConstraintSpec], + /// Optional format hint. pub format: Option<&'static str>, } @@ -69,6 +95,19 @@ impl FieldSchema { } } +/// Cached field-level schema for a [`Signature`], built from Facet shapes. +/// +/// The shared backbone of the system. Every path that needs to know about a signature's +/// fields reads from here — the adapter formatting prompts, the graph validating edges, +/// optimizers inspecting structure. Built once per `Signature` type (keyed by `TypeId`), +/// leaked into `'static`, never mutated after init. +/// +/// Contains the flattened list of input and output fields with their LM-facing names, +/// Rust paths (accounting for `#[flatten]`), type info, docs, and constraints. Derived +/// from Facet shape metadata at runtime, not from macro-emitted static arrays — Facet +/// is the single source of truth for type structure. +/// +/// Access via [`SignatureSchema::of::()`](SignatureSchema::of) or [`Signature::schema()`]. #[derive(Debug, Clone)] pub struct SignatureSchema { instruction: &'static str, @@ -92,6 +131,11 @@ impl SignatureSchema { } } + /// Returns the cached schema for signature `S`, building it on first access. + /// + /// # Panics + /// + /// Panics if the schema can't be built (e.g. the input/output shapes aren't structs). pub fn of() -> &'static Self { static CACHE: OnceLock>> = OnceLock::new(); diff --git a/crates/dspy-rs/src/core/signature.rs b/crates/dspy-rs/src/core/signature.rs index ae255268..56107409 100644 --- a/crates/dspy-rs/src/core/signature.rs +++ b/crates/dspy-rs/src/core/signature.rs @@ -5,6 +5,7 @@ use crate::{BamlType, OutputFormatContent}; use super::{FieldMetadataSpec, SignatureSchema}; +/// A compile-time constraint declared on a signature field via `#[check(...)]` or `#[assert(...)]`. #[derive(Debug, Clone, Copy)] pub struct ConstraintSpec { pub kind: ConstraintKind, @@ -12,18 +13,54 @@ pub struct ConstraintSpec { pub expression: &'static str, } +/// Whether a constraint is a soft check (reported but not fatal) or a hard assert (fails the call). #[derive(Debug, Clone, Copy, PartialEq, Eq)] pub enum ConstraintKind { + /// Soft: evaluated and reported in [`FieldMeta::checks`](crate::FieldMeta::checks), but doesn't fail the call. Check, + /// Hard: fails the call with [`ParseError::AssertFailed`](crate::ParseError::AssertFailed) if the constraint doesn't hold. Assert, } +/// Declares the input/output fields and instruction for a prompting task. +/// +/// A signature is the declarative part: "given these inputs, produce these outputs, +/// following this instruction." You define it, the system handles prompt formatting, +/// response parsing, and type checking. +/// +/// ``` +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// // The derive generates QAInput { question } and QAOutput { answer } +/// let _input = QAInput { question: "What is 2+2?".into() }; +/// let schema = QA::schema(); // cached SignatureSchema from Facet shapes +/// assert_eq!(schema.input_fields().len(), 1); +/// assert_eq!(schema.output_fields().len(), 1); +/// ``` +/// +/// The derive generates `QAInput { question }`, `QAOutput { answer }`, and +/// `impl Signature for QA`. The doc comment becomes the LM instruction. Field types +/// determine the output format the LM is asked to produce and how the response is parsed. +/// +/// The type system IS the signature — there's no string DSL like Python DSPy's +/// `"question -> answer"`. This means the compiler checks your field types, IDE support +/// works, and refactoring tools see through the whole system. +/// +/// You almost never implement this manually. The derive handles splitting fields +/// into typed `Input`/`Output` structs, extracting docs, and building the +/// [`SignatureSchema`] from Facet shapes. pub trait Signature: Send + Sync + 'static { + /// The typed input struct (generated by `#[derive(Signature)]`). type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + + /// The typed output struct (generated by `#[derive(Signature)]`). type Output: BamlType + for<'a> Facet<'a> + Send + Sync; + /// The LM instruction (from the doc comment on the signature struct). fn instruction() -> &'static str; + /// Returns the cached [`SignatureSchema`], derived from Facet shapes on first access. fn schema() -> &'static SignatureSchema where Self: Sized, @@ -31,12 +68,17 @@ pub trait Signature: Send + Sync + 'static { SignatureSchema::of::() } + /// The Facet shape of the input struct. fn input_shape() -> &'static Shape; + /// The Facet shape of the output struct. fn output_shape() -> &'static Shape; + /// Per-field metadata for input fields (aliases, constraints, format hints). fn input_field_metadata() -> &'static [FieldMetadataSpec]; + /// Per-field metadata for output fields (aliases, constraints, format hints). fn output_field_metadata() -> &'static [FieldMetadataSpec]; + /// The output format descriptor used by the adapter for structured output parsing. fn output_format_content() -> &'static OutputFormatContent where Self: Sized, diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index ff4212ac..9a1ef27f 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -32,6 +32,19 @@ pub use bamltype::jsonish::deserializer::deserialize_flags::Flag; pub use dsrs_macros::*; pub use facet::Facet; +/// Pre-built signature for use in doc examples. Not part of the public API. +#[doc(hidden)] +pub mod doctest { + #[derive(crate::Signature, Clone, Debug)] + /// Answer questions accurately and concisely. + pub struct QA { + #[input] + pub question: String, + #[output] + pub answer: String, + } +} + #[doc(hidden)] pub mod __macro_support { pub use anyhow; diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 1c0de57c..6ea42547 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -4,6 +4,10 @@ use crate::core::{Module, Signature}; use crate::predictors::{Demo, Predict, PredictBuilder}; use crate::{BamlType, PredictError, Predicted}; +/// Augmentation that prepends a `reasoning: String` field to a signature's output. +/// +/// This is the "think step by step" primitive. The LM sees the field in its output +/// format and generates reasoning text before answering. Used by [`ChainOfThought`]. #[derive(Augmentation, Clone, Debug)] #[augment(output, prepend)] pub struct Reasoning { @@ -11,8 +15,35 @@ pub struct Reasoning { pub reasoning: String, } +/// Convenience alias for `ChainOfThought`'s output type. pub type ChainOfThoughtOutput = WithReasoning<::Output>; +/// Asks the LM to reason step-by-step before producing the answer. +/// +/// The simplest strategy upgrade from bare [`Predict`]. Internally +/// just `Predict>` — the prompt includes a `reasoning` field +/// before the regular output fields, and the LM fills it in. The reasoning text is a +/// real output field, not hidden metadata. +/// +/// ```no_run +/// # async fn example() -> Result<(), dspy_rs::PredictError> { +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// let cot = ChainOfThought::::new(); +/// let result = cot.call(QAInput { question: "What is 2+2?".into() }).await?; +/// println!("{}", result.reasoning); // the LM's chain of thought +/// println!("{}", result.answer); // the actual answer, via Deref +/// # Ok(()) +/// # } +/// ``` +/// +/// Swapping `Predict` → `ChainOfThought` changes the output type from +/// `QAOutput` to [`WithReasoning`]. The compiler catches every downstream +/// site that needs updating — that's the strategy swap working as designed. +/// +/// This is not multi-turn conversation. Reasoning and answer are produced in a single +/// LM call. The LM is simply asked to show its work before answering. #[derive(Default, facet::Facet)] #[facet(crate = facet)] pub struct ChainOfThought { @@ -74,6 +105,7 @@ where } } +/// Builder for [`ChainOfThought`] with demos, tools, and instruction override. pub struct ChainOfThoughtBuilder { inner: PredictBuilder>, } diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 60af954c..5ff93784 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -13,6 +13,21 @@ use crate::{ LmUsage, PredictError, Predicted, Prediction, SignatureSchema, }; +/// A typed input/output pair for few-shot prompting. +/// +/// Demos are formatted as user/assistant exchanges in the prompt, showing the LM +/// what good responses look like. The types enforce that demos match the signature — +/// you can't accidentally pass a `QAOutput` demo to a `Predict`. +/// +/// ``` +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// let demo = Demo::::new( +/// QAInput { question: "What is 2+2?".into() }, +/// QAOutput { answer: "4".into() }, +/// ); +/// ``` #[derive(facet::Facet)] #[facet(crate = facet)] pub struct Demo { @@ -48,6 +63,49 @@ where dyn_ref as *const dyn DynPredictor } +/// The leaf module. The only thing in the system that actually calls the LM. +/// +/// One `Predict` = one prompt template = one LM call. It takes a [`Signature`]'s fields +/// and instruction, formats them into a prompt (with any demos and tools), calls the +/// configured LM, and parses the response back into `S::Output`. Every other module — +/// [`ChainOfThought`](crate::ChainOfThought), `ReAct`, custom pipelines — ultimately +/// delegates to one or more `Predict` leaves. +/// +/// This is also the unit of optimization. When an optimizer tunes your program, it's +/// adjusting `Predict` leaves: their demos (few-shot examples) and instructions. +/// The optimizer's Facet walker discovers leaves automatically from struct fields — +/// no `#[parameter]` annotations or manual traversal needed. +/// +/// # Construction side effect +/// +/// `new()` and `builder().build()` register an accessor function in a global registry. +/// This is a workaround — ideally the type system would handle it, but Facet doesn't +/// yet support shape-local typed attr payloads on generic containers. If you construct +/// a `Predict` without going through `new()`/`build()` (e.g. via unsafe or manual +/// field init), [`named_parameters`](crate::named_parameters) will error when it finds +/// the unregistered leaf. +/// +/// ```no_run +/// # async fn example() -> Result<(), dspy_rs::PredictError> { +/// use dspy_rs::*; +/// use dspy_rs::doctest::*; +/// +/// // Minimal +/// let predict = Predict::::new(); +/// let result = predict.call(QAInput { question: "What is 2+2?".into() }).await?; +/// println!("{}", result.answer); +/// +/// // With demos and custom instruction +/// let predict = Predict::::builder() +/// .demo(Demo::new( +/// QAInput { question: "What is 1+1?".into() }, +/// QAOutput { answer: "2".into() }, +/// )) +/// .instruction("Answer in one word.") +/// .build(); +/// # Ok(()) +/// # } +/// ``` #[derive(facet::Facet)] #[facet(crate = facet, opaque)] pub struct Predict { @@ -250,6 +308,16 @@ impl Default for Predict { } } +/// Builder for [`Predict`] with demos, tools, and instruction override. +/// +/// ```ignore +/// let predict = Predict::::builder() +/// .demo(demo1) +/// .demo(demo2) +/// .instruction("Answer in one word.") +/// .add_tool(my_tool) +/// .build(); +/// ``` pub struct PredictBuilder { tools: Vec>, demos: Vec>, From 99f936f097fdd60b5f6296eaa6fb22a0dd474fcc Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Tue, 10 Feb 2026 23:12:41 -0800 Subject: [PATCH 19/22] defer V6 dynamic graph: remove runtime code, scope to V1-V5 typed-only --- Cargo.lock | 10 - crates/dspy-rs/Cargo.toml | 1 - .../02-module-iteration-and-updation.rs | 10 +- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 10 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 10 +- .../examples/95-smoke-slice6-dynamic-graph.rs | 76 -- crates/dspy-rs/src/adapter/chat.rs | 158 ---- crates/dspy-rs/src/core/dyn_factories.rs | 717 -------------- crates/dspy-rs/src/core/dyn_module.rs | 100 -- crates/dspy-rs/src/core/dyn_predictor.rs | 53 +- crates/dspy-rs/src/core/mod.rs | 6 - crates/dspy-rs/src/core/program_graph.rs | 893 ------------------ crates/dspy-rs/src/predictors/predict.rs | 54 -- .../test_dyn_predictor_forward_untyped.rs | 193 ---- .../tests/test_named_parameters_containers.rs | 73 +- .../tests/test_named_parameters_ref.rs | 211 ----- ..._optimizer_named_parameters_integration.rs | 4 +- .../tests/test_program_graph_annotations.rs | 177 ---- .../tests/test_program_graph_execution.rs | 418 -------- .../tests/test_program_graph_mutation.rs | 689 -------------- .../test_program_graph_projection_fit.rs | 195 ---- .../tests/test_registry_dynamic_modules.rs | 140 --- .../modules/phase_4_5_cleanup_kickoff.md | 8 + docs/plans/modules/slice_6.md | 8 + docs/plans/modules/slice_6_refinery.md | 8 + docs/plans/modules/slice_6_research.md | 8 + docs/plans/modules/slice_6_review.md | 8 + docs/plans/modules/slices_closure_audit.md | 8 + docs/plans/modules/tracker.md | 8 + docs/specs/modules/breadboard.md | 8 + .../modules/calling_convention_revision.md | 8 + docs/specs/modules/design_reference.md | 8 + docs/specs/modules/shapes.md | 8 + 33 files changed, 113 insertions(+), 4173 deletions(-) delete mode 100644 crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs delete mode 100644 crates/dspy-rs/src/core/dyn_factories.rs delete mode 100644 crates/dspy-rs/src/core/dyn_module.rs delete mode 100644 crates/dspy-rs/src/core/program_graph.rs delete mode 100644 crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs delete mode 100644 crates/dspy-rs/tests/test_named_parameters_ref.rs delete mode 100644 crates/dspy-rs/tests/test_program_graph_annotations.rs delete mode 100644 crates/dspy-rs/tests/test_program_graph_execution.rs delete mode 100644 crates/dspy-rs/tests/test_program_graph_mutation.rs delete mode 100644 crates/dspy-rs/tests/test_program_graph_projection_fit.rs delete mode 100644 crates/dspy-rs/tests/test_registry_dynamic_modules.rs diff --git a/Cargo.lock b/Cargo.lock index 5735b76d..b30d69d9 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -1161,7 +1161,6 @@ dependencies = [ "futures", "hf-hub", "indexmap", - "inventory", "kdam", "parquet", "rand 0.8.5", @@ -2163,15 +2162,6 @@ dependencies = [ "toon", ] -[[package]] -name = "inventory" -version = "0.3.21" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "bc61209c082fbeb19919bee74b176221b27223e27b65d781eb91af24eb1fb46e" -dependencies = [ - "rustversion", -] - [[package]] name = "io-uring" version = "0.7.10" diff --git a/crates/dspy-rs/Cargo.toml b/crates/dspy-rs/Cargo.toml index 9cb4752d..4774122e 100644 --- a/crates/dspy-rs/Cargo.toml +++ b/crates/dspy-rs/Cargo.toml @@ -43,7 +43,6 @@ rig-core = { git = "https://github.com/0xPlaygrounds/rig", rev="e7849df" } enum_dispatch = "0.3.13" tracing = "0.1.44" tracing-subscriber = { version = "0.3.22", features = ["env-filter", "fmt"] } -inventory = "0.3" [package.metadata.cargo-machete] ignored = ["rig-core"] diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index 290bdf1a..c40a61cd 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -10,7 +10,7 @@ cargo run --example 02-module-iteration-and-updation use anyhow::Result; use bon::Builder; use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{Predict, Signature, init_tracing, named_parameters, named_parameters_ref}; +use dspy_rs::{Predict, Signature, init_tracing, named_parameters}; #[derive(Signature, Clone, Debug)] struct QA { @@ -56,12 +56,12 @@ struct NestedModule { extra: Predict, } -fn print_instructions(label: &str, module: &T) -> Result<()> +fn print_instructions(label: &str, module: &mut T) -> Result<()> where T: for<'a> facet::Facet<'a>, { println!("{label}"); - let params = named_parameters_ref(module)?; + let params = named_parameters(module)?; for (path, predictor) in params { println!(" {path} -> {}", predictor.instruction()); } @@ -79,7 +79,7 @@ async fn main() -> Result<()> { predictor.set_instruction(format!("Updated instruction for `{path}`")); } } - print_instructions("single module", &qa_rater)?; + print_instructions("single module", &mut qa_rater)?; let mut nested = NestedModule::builder().build(); { @@ -88,7 +88,7 @@ async fn main() -> Result<()> { predictor.set_instruction(format!("Deep updated: `{path}`")); } } - print_instructions("nested module", &nested)?; + print_instructions("nested module", &mut nested)?; Ok(()) } diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index 987a71a7..0c3c038e 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -13,7 +13,7 @@ use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ COPRO, ChatAdapter, DataLoader, Example, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, - init_tracing, named_parameters_ref, + init_tracing, named_parameters, }; #[derive(Signature, Clone, Debug)] @@ -63,8 +63,8 @@ impl TypedMetric for ExactMatchMetric { } } -fn answerer_instruction(module: &QAModule) -> Result { - let params = named_parameters_ref(module)?; +fn answerer_instruction(module: &mut QAModule) -> Result { + let params = named_parameters(module)?; let (_, predictor) = params .iter() .find(|(path, _)| path == "answerer") @@ -99,7 +99,7 @@ async fn main() -> Result<()> { let baseline = average_score(&evaluate_trainset(&module, &examples, &metric).await?); println!("baseline score: {baseline:.3}"); - println!("baseline instruction: {}", answerer_instruction(&module)?); + println!("baseline instruction: {}", answerer_instruction(&mut module)?); let optimizer = COPRO::builder().breadth(10).depth(1).build(); optimizer @@ -108,7 +108,7 @@ async fn main() -> Result<()> { let optimized = average_score(&evaluate_trainset(&module, &examples, &metric).await?); println!("optimized score: {optimized:.3}"); - println!("optimized instruction: {}", answerer_instruction(&module)?); + println!("optimized instruction: {}", answerer_instruction(&mut module)?); Ok(()) } diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index 968a9b16..ffedc2d3 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -13,7 +13,7 @@ use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ ChatAdapter, DataLoader, Example, LM, MIPROv2, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, - init_tracing, named_parameters_ref, + init_tracing, named_parameters, }; #[derive(Signature, Clone, Debug)] @@ -75,8 +75,8 @@ impl TypedMetric for ExactMatchMetric { } } -fn answerer_instruction(module: &SimpleQA) -> Result { - let params = named_parameters_ref(module)?; +fn answerer_instruction(module: &mut SimpleQA) -> Result { + let params = named_parameters(module)?; let (_, predictor) = params .iter() .find(|(path, _)| path == "answerer") @@ -109,7 +109,7 @@ async fn main() -> Result<()> { let mut qa_module = SimpleQA::builder().build(); println!("Initial instruction:"); - println!(" \"{}\"\n", answerer_instruction(&qa_module)?); + println!(" \"{}\"\n", answerer_instruction(&mut qa_module)?); println!("Evaluating baseline performance..."); let baseline_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); @@ -129,7 +129,7 @@ async fn main() -> Result<()> { .await?; println!("\nOptimized instruction:"); - println!(" \"{}\"\n", answerer_instruction(&qa_module)?); + println!(" \"{}\"\n", answerer_instruction(&mut qa_module)?); println!("Evaluating optimized performance..."); let optimized_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); diff --git a/crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs b/crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs deleted file mode 100644 index 3a01aa68..00000000 --- a/crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs +++ /dev/null @@ -1,76 +0,0 @@ -use anyhow::{Result, anyhow, bail}; -use dspy_rs::__macro_support::indexmap::IndexMap; -use dspy_rs::{ - BamlValue, ChatAdapter, LM, ProgramGraph, Signature, SignatureSchema, configure, registry, -}; - -#[derive(Signature, Clone, Debug)] -struct SmokeSig { - #[input] - question: String, - - #[output] - answer: String, -} - -#[tokio::main] -async fn main() -> Result<()> { - // Smoke Label: Slice 6 Dynamic Graph - configure( - LM::builder() - .model("openai:gpt-5.2".to_string()) - .build() - .await?, - ChatAdapter, - ); - - let schema = SignatureSchema::of::(); - let mut graph = ProgramGraph::new(); - graph.add_node( - "predict", - registry::create("predict", schema, serde_json::json!({}))?, - )?; - graph.connect("input", "question", "predict", "question")?; - - { - let predict_node = graph - .nodes_mut() - .get_mut("predict") - .ok_or_else(|| anyhow!("missing `predict` node"))?; - let mut predictors = predict_node.module.predictors_mut(); - let (_, predictor) = predictors - .iter_mut() - .find(|(name, _)| *name == "predictor") - .ok_or_else(|| anyhow!("missing `predictor` leaf on dynamic node"))?; - predictor.set_instruction("Reply with exactly: smoke-ok".to_string()); - } - - let input = BamlValue::Class( - "SmokeSigInput".to_string(), - IndexMap::from([( - "question".to_string(), - BamlValue::String("Return exactly smoke-ok.".to_string()), - )]), - ); - let output = graph.execute(input).await?; - - let answer_field = schema - .output_field_by_rust("answer") - .ok_or_else(|| anyhow!("missing `answer` field in smoke schema"))?; - let answer = match schema.navigate_field(answer_field.path(), &output) { - Some(BamlValue::String(answer)) => answer.clone(), - Some(other) => { - bail!("unexpected answer type: {other:?}"); - } - None => { - bail!("missing answer in graph output"); - } - }; - println!("answer: {}", answer); - - if !answer.to_ascii_lowercase().contains("smoke-ok") { - bail!("unexpected answer content: {}", answer); - } - - Ok(()) -} diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 4175f383..92929c4b 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -387,22 +387,6 @@ impl ChatAdapter { result } - pub fn format_input_baml(&self, schema: &crate::SignatureSchema, input: &BamlValue) -> String { - let mut result = String::new(); - for field_spec in schema.input_fields() { - if let Some(value) = value_for_path_relaxed(input, field_spec.path()) { - result.push_str(&format!("[[ ## {} ## ]]\n", field_spec.lm_name)); - result.push_str(&format_baml_value_for_prompt_typed( - value, - schema.output_format(), - field_spec.format, - )); - result.push_str("\n\n"); - } - } - result - } - pub fn format_assistant_message_typed(&self, output: &S::Output) -> String where S::Output: BamlType, @@ -432,26 +416,6 @@ impl ChatAdapter { result } - pub fn format_output_baml( - &self, - schema: &crate::SignatureSchema, - output: &BamlValue, - ) -> String { - let mut sections = Vec::new(); - for field_spec in schema.output_fields() { - if let Some(value) = value_for_path_relaxed(output, field_spec.path()) { - sections.push(format!( - "[[ ## {} ## ]]\n{}", - field_spec.lm_name, - format_baml_value_for_prompt(value) - )); - } - } - let mut result = sections.join("\n\n"); - result.push_str("\n\n[[ ## completed ## ]]\n"); - result - } - pub fn format_demo_typed( &self, demo: &crate::predictors::Demo, @@ -665,128 +629,6 @@ impl ChatAdapter { Ok(output) } - #[allow(clippy::result_large_err)] - pub fn parse_output_baml_with_meta( - &self, - schema: &crate::SignatureSchema, - response: &Message, - ) -> std::result::Result<(BamlValue, IndexMap), ParseError> { - let content = response.content(); - let output_format = schema.output_format(); - let sections = parse_sections(&content); - - let mut metas = IndexMap::new(); - let mut errors = Vec::new(); - let mut output_map = bamltype::baml_types::BamlMap::new(); - - for field in schema.output_fields() { - let rust_name = field.rust_name.clone(); - let type_ir = field.type_ir.clone(); - - let raw_text = match sections.get(field.lm_name) { - Some(text) => text.clone(), - None => { - errors.push(ParseError::MissingField { - field: rust_name.clone(), - raw_response: content.to_string(), - }); - continue; - } - }; - - let parsed: BamlValueWithFlags = - match jsonish::from_str(output_format, &type_ir, &raw_text, true) { - Ok(value) => value, - Err(err) => { - errors.push(ParseError::CoercionFailed { - field: rust_name.clone(), - expected_type: type_ir.diagnostic_repr().to_string(), - raw_text: raw_text.clone(), - source: JsonishError::from(err), - }); - continue; - } - }; - - let baml_value: BamlValue = parsed.clone().into(); - let mut flags = Vec::new(); - collect_flags_recursive(&parsed, &mut flags); - - let mut checks = Vec::new(); - match run_user_checks(&baml_value, &type_ir) { - Ok(results) => { - for (constraint, passed) in results { - let label = constraint.label.as_deref().unwrap_or_else(|| { - if constraint.level == ConstraintLevel::Assert { - "assert" - } else { - "check" - } - }); - let expression = constraint.expression.to_string(); - if constraint.level == ConstraintLevel::Assert && !passed { - errors.push(ParseError::AssertFailed { - field: rust_name.clone(), - label: label.to_string(), - expression: expression.clone(), - value: baml_value.clone(), - }); - } - if constraint.level == ConstraintLevel::Check { - checks.push(ConstraintResult { - label: label.to_string(), - expression, - passed, - }); - } - } - } - Err(err) => { - errors.push(ParseError::ExtractionFailed { - field: rust_name.clone(), - raw_response: content.to_string(), - reason: err.to_string(), - }); - continue; - } - } - - metas.insert( - rust_name.clone(), - FieldMeta { - raw_text, - flags, - checks, - }, - ); - insert_baml_at_path(&mut output_map, field.path(), baml_value); - } - - if !errors.is_empty() { - let partial = if output_map.is_empty() { - None - } else { - Some(BamlValue::Class("DynamicOutput".to_string(), output_map)) - }; - return Err(ParseError::Multiple { errors, partial }); - } - - Ok(( - BamlValue::Class("DynamicOutput".to_string(), output_map), - metas, - )) - } - - #[allow(clippy::result_large_err)] - pub fn parse_output_baml( - &self, - schema: &crate::SignatureSchema, - response: &Message, - ) -> std::result::Result { - let (output, _) = self.parse_output_baml_with_meta(schema, response)?; - Ok(output) - } - pub fn parse_sections(content: &str) -> IndexMap { crate::adapter::chat::parse_sections(content) } diff --git a/crates/dspy-rs/src/core/dyn_factories.rs b/crates/dspy-rs/src/core/dyn_factories.rs deleted file mode 100644 index aa2790b5..00000000 --- a/crates/dspy-rs/src/core/dyn_factories.rs +++ /dev/null @@ -1,717 +0,0 @@ -use std::collections::HashMap; -use std::sync::Arc; - -use anyhow::Result; -use bamltype::baml_types::{BamlMap, BamlValue}; -use bamltype::build_type_ir_from_shape; -use facet::Facet; -use rig::message::{ToolCall, ToolFunction}; -use rig::tool::ToolDyn; - -use crate::core::{ - DynModule, DynPredictor, PredictState, StrategyConfig, StrategyConfigSchema, StrategyError, - StrategyFactory, StrategyFactoryRegistration, -}; -use crate::{ - CallMetadata, Chat, ChatAdapter, ConversionError, Example, GLOBAL_SETTINGS, LmError, - PredictError, Predicted, SignatureSchema, -}; - -#[derive(Clone)] -pub struct SchemaPredictor { - schema: SignatureSchema, - demos: Vec, - instruction_override: Option, - tools: Vec>, -} - -impl SchemaPredictor { - pub fn new(schema: SignatureSchema) -> Self { - Self { - schema, - demos: Vec::new(), - instruction_override: None, - tools: Vec::new(), - } - } - - fn input_from_example(&self, example: &Example) -> Result { - baml_value_from_example_keys(&example.data, &example.input_keys) - } - - fn output_from_example(&self, example: &Example) -> Result { - baml_value_from_example_keys(&example.data, &example.output_keys) - } -} - -#[async_trait::async_trait] -impl DynPredictor for SchemaPredictor { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn instruction(&self) -> String { - self.instruction_override - .clone() - .unwrap_or_else(|| self.schema.instruction().to_string()) - } - - fn set_instruction(&mut self, instruction: String) { - self.instruction_override = Some(instruction); - } - - fn demos_as_examples(&self) -> Vec { - self.demos.clone() - } - - fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()> { - self.demos = demos; - Ok(()) - } - - fn dump_state(&self) -> PredictState { - PredictState { - demos: self.demos.clone(), - instruction_override: self.instruction_override.clone(), - } - } - - fn load_state(&mut self, state: PredictState) -> Result<()> { - self.demos = state.demos; - self.instruction_override = state.instruction_override; - Ok(()) - } - - async fn forward_untyped( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError> { - let lm = { - let guard = GLOBAL_SETTINGS.read().expect("settings lock poisoned"); - let settings = guard.as_ref().expect("settings not configured"); - Arc::clone(&settings.lm) - }; - - let chat_adapter = ChatAdapter; - let system = chat_adapter - .build_system(&self.schema, self.instruction_override.as_deref()) - .map_err(|err| PredictError::Lm { - source: LmError::Provider { - provider: "internal".to_string(), - message: err.to_string(), - source: None, - }, - })?; - - let user = chat_adapter.format_input_baml(&self.schema, &input); - - let mut chat = Chat::new(vec![]); - chat.push("system", &system); - for demo in &self.demos { - let demo_input = - self.input_from_example(demo) - .map_err(|err| PredictError::Conversion { - source: crate::ConversionError::TypeMismatch { - expected: "BamlValue", - actual: err.to_string(), - }, - parsed: BamlValue::Null, - })?; - let demo_output = - self.output_from_example(demo) - .map_err(|err| PredictError::Conversion { - source: crate::ConversionError::TypeMismatch { - expected: "BamlValue", - actual: err.to_string(), - }, - parsed: BamlValue::Null, - })?; - let demo_user = chat_adapter.format_input_baml(&self.schema, &demo_input); - let demo_assistant = chat_adapter.format_output_baml(&self.schema, &demo_output); - chat.push("user", &demo_user); - chat.push("assistant", &demo_assistant); - } - chat.push("user", &user); - - let response = lm - .call(chat, self.tools.clone()) - .await - .map_err(|err| PredictError::Lm { - source: LmError::Provider { - provider: lm.model.clone(), - message: err.to_string(), - source: None, - }, - })?; - - let raw_response = response.output.content().to_string(); - let lm_usage = response.usage.clone(); - let (output, field_metas) = chat_adapter - .parse_output_baml_with_meta(&self.schema, &response.output) - .map_err(|source| PredictError::Parse { - source, - raw_response: raw_response.clone(), - lm_usage: lm_usage.clone(), - })?; - - let metadata = CallMetadata::new( - raw_response, - lm_usage, - response.tool_calls, - response.tool_executions, - None, - field_metas, - ); - - Ok(Predicted::new(output, metadata)) - } -} - -pub struct PredictDynModule { - schema: SignatureSchema, - predictor: SchemaPredictor, -} - -impl PredictDynModule { - pub fn new(schema: SignatureSchema) -> Self { - Self { - predictor: SchemaPredictor::new(schema.clone()), - schema, - } - } -} - -#[async_trait::async_trait] -impl DynModule for PredictDynModule { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { - vec![("predictor", &self.predictor)] - } - - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { - vec![("predictor", &mut self.predictor)] - } - - async fn forward( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError> { - self.predictor.forward_untyped(input).await - } -} - -pub struct ChainOfThoughtDynModule { - schema: SignatureSchema, - predictor: SchemaPredictor, -} - -impl ChainOfThoughtDynModule { - pub fn new(schema: SignatureSchema) -> Self { - Self { - predictor: SchemaPredictor::new(schema.clone()), - schema, - } - } -} - -#[async_trait::async_trait] -impl DynModule for ChainOfThoughtDynModule { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { - vec![("predictor", &self.predictor)] - } - - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { - vec![("predictor", &mut self.predictor)] - } - - async fn forward( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError> { - self.predictor.forward_untyped(input).await - } -} - -pub struct ReActDynModule { - schema: SignatureSchema, - action: SchemaPredictor, - extract: SchemaPredictor, - max_steps: usize, - tools: Vec>, -} - -impl ReActDynModule { - pub fn new(schema: SignatureSchema, max_steps: usize, tools: Vec>) -> Self { - let action_schema = react_action_schema(&schema); - let extract_schema = react_extract_schema(&schema); - Self { - action: SchemaPredictor::new(action_schema), - extract: SchemaPredictor::new(extract_schema), - schema, - max_steps, - tools, - } - } - - async fn render_tool_manifest(&self) -> String { - if self.tools.is_empty() { - return "Available tools: (none)".to_string(); - } - - let mut lines = vec!["Available tools:".to_string()]; - for tool in &self.tools { - let definition = tool.definition(String::new()).await; - lines.push(format!("- {}: {}", definition.name, definition.description)); - } - - lines.join("\n") - } - - async fn execute_tool(&self, name: &str, args: String) -> String { - let normalized = name.trim(); - - for tool in &self.tools { - let candidate = tool.name(); - if candidate.eq_ignore_ascii_case(normalized) - || normalized.contains(&candidate) - || candidate.contains(normalized) - { - return match tool.call(args).await { - Ok(result) => result, - Err(err) => format!("tool_error: {err}"), - }; - } - } - - if let Some(first_tool) = self.tools.first() { - return match first_tool.call(args).await { - Ok(result) => result, - Err(err) => format!("tool_error: {err}"), - }; - } - - format!("tool_not_found: {name}") - } - - fn is_terminal_action(action: &str) -> bool { - action.eq_ignore_ascii_case("finish") - || action.eq_ignore_ascii_case("final") - || action.eq_ignore_ascii_case("done") - } - - fn format_trace_entry( - step: usize, - thought: &str, - action: &str, - action_input: &str, - observation: Option<&str>, - ) -> String { - let observation_text = observation.unwrap_or(""); - format!( - "Step {step}\nThought: {thought}\nAction: {action}\nAction Input: {action_input}\nObservation: {observation_text}" - ) - } -} - -#[async_trait::async_trait] -impl DynModule for ReActDynModule { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { - vec![("action", &self.action), ("extract", &self.extract)] - } - - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { - vec![("action", &mut self.action), ("extract", &mut self.extract)] - } - - async fn forward( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError> { - let serialized_input = serde_json::to_string(&input) - .unwrap_or_else(|_| "".to_string()); - - let tool_manifest = self.render_tool_manifest().await; - let mut trajectory_text = tool_manifest.clone(); - trajectory_text.push_str("\n\n"); - - let mut tool_calls = Vec::::new(); - let mut tool_executions = vec![tool_manifest]; - - for step in 0..self.max_steps { - let action_input = baml_class([ - ("input", BamlValue::String(serialized_input.clone())), - ("trajectory", BamlValue::String(trajectory_text.clone())), - ]); - - let action_predicted = self.action.forward_untyped(action_input).await?; - let (action_output, mut action_metadata) = action_predicted.into_parts(); - tool_calls.append(&mut action_metadata.tool_calls); - tool_executions.append(&mut action_metadata.tool_executions); - - let thought = required_string_output(&self.action, &action_output, "thought")?; - let action = required_string_output(&self.action, &action_output, "action")?; - let action_input = - required_string_output(&self.action, &action_output, "action_input")?; - - let action_name = action - .trim() - .trim_matches('"') - .trim_matches('\'') - .to_string(); - - if Self::is_terminal_action(&action_name) { - let trace = - Self::format_trace_entry(step + 1, &thought, &action_name, &action_input, None); - tool_executions.push(trace.clone()); - trajectory_text.push_str(&format!( - "Step {}\nThought: {}\nFinal: {}\n\n", - step + 1, - thought, - action_input - )); - break; - } - - let observation = self.execute_tool(&action_name, action_input.clone()).await; - tool_calls.push(ToolCall { - id: format!("react-step-{}", step + 1), - call_id: None, - function: ToolFunction { - name: action_name.clone(), - arguments: serde_json::json!(action_input), - }, - }); - tool_executions.push(Self::format_trace_entry( - step + 1, - &thought, - &action_name, - &action_input, - Some(&observation), - )); - - trajectory_text.push_str(&format!( - "Step {}\nThought: {}\nAction: {}\nAction Input: {}\nObservation: {}\n\n", - step + 1, - thought, - action_name, - action_input, - observation - )); - } - - let extract_input = baml_class([ - ("input", BamlValue::String(serialized_input)), - ("trajectory", BamlValue::String(trajectory_text)), - ]); - - let extract_predicted = self.extract.forward_untyped(extract_input).await?; - let (output, mut metadata) = extract_predicted.into_parts(); - metadata.tool_calls.extend(tool_calls); - metadata.tool_executions.extend(tool_executions); - - Ok(Predicted::new(output, metadata)) - } -} - -pub struct PredictFactory; -pub struct ChainOfThoughtFactory; -pub struct ReActFactory; - -impl StrategyFactory for PredictFactory { - fn name(&self) -> &'static str { - "predict" - } - - fn config_schema(&self) -> StrategyConfigSchema { - serde_json::json!({ - "type": "object", - "properties": {}, - "additionalProperties": true, - }) - } - - fn create( - &self, - base_schema: &SignatureSchema, - _config: StrategyConfig, - ) -> std::result::Result, StrategyError> { - Ok(Box::new(PredictDynModule::new(base_schema.clone()))) - } -} - -impl StrategyFactory for ChainOfThoughtFactory { - fn name(&self) -> &'static str { - "chain_of_thought" - } - - fn config_schema(&self) -> StrategyConfigSchema { - serde_json::json!({ - "type": "object", - "properties": {}, - "additionalProperties": true, - }) - } - - fn create( - &self, - base_schema: &SignatureSchema, - _config: StrategyConfig, - ) -> std::result::Result, StrategyError> { - let mut output_fields = Vec::with_capacity(base_schema.output_fields().len() + 1); - output_fields.push(crate::FieldSchema { - lm_name: "reasoning", - rust_name: "reasoning".to_string(), - docs: String::new(), - type_ir: build_type_ir_from_shape(>::SHAPE), - shape: >::SHAPE, - path: crate::FieldPath::new(["reasoning"]), - constraints: &[], - format: None, - }); - output_fields.extend(base_schema.output_fields().iter().cloned()); - let schema = base_schema.with_fields(base_schema.input_fields().to_vec(), output_fields); - Ok(Box::new(ChainOfThoughtDynModule::new(schema))) - } -} - -impl StrategyFactory for ReActFactory { - fn name(&self) -> &'static str { - "react" - } - - fn config_schema(&self) -> StrategyConfigSchema { - serde_json::json!({ - "type": "object", - "properties": { - "max_steps": { "type": "integer", "minimum": 1 } - }, - "additionalProperties": true, - }) - } - - fn create( - &self, - base_schema: &SignatureSchema, - config: StrategyConfig, - ) -> std::result::Result, StrategyError> { - let object = config - .as_object() - .ok_or_else(|| StrategyError::InvalidConfig { - strategy: self.name(), - reason: "config must be a JSON object".to_string(), - })?; - - let max_steps = match object.get("max_steps") { - None => 4usize, - Some(value) => { - let parsed = value.as_u64().ok_or_else(|| StrategyError::InvalidConfig { - strategy: self.name(), - reason: "`max_steps` must be an integer >= 1".to_string(), - })?; - if parsed == 0 { - return Err(StrategyError::InvalidConfig { - strategy: self.name(), - reason: "`max_steps` must be >= 1".to_string(), - }); - } - parsed as usize - } - }; - - Ok(Box::new(ReActDynModule::new( - base_schema.clone(), - max_steps, - Vec::new(), - ))) - } -} - -inventory::submit! { - StrategyFactoryRegistration { factory: &PredictFactory } -} - -inventory::submit! { - StrategyFactoryRegistration { factory: &ChainOfThoughtFactory } -} - -inventory::submit! { - StrategyFactoryRegistration { factory: &ReActFactory } -} - -fn react_action_schema(base_schema: &SignatureSchema) -> SignatureSchema { - let string_shape = >::SHAPE; - let string_type = build_type_ir_from_shape(string_shape); - let output_format = Arc::new(base_schema.output_format().clone()); - - SignatureSchema::from_parts( - "Given input and trajectory, choose the next action and its input.", - vec![ - crate::FieldSchema { - lm_name: "input", - rust_name: "input".to_string(), - docs: String::new(), - type_ir: string_type.clone(), - shape: string_shape, - path: crate::FieldPath::new(["input"]), - constraints: &[], - format: None, - }, - crate::FieldSchema { - lm_name: "trajectory", - rust_name: "trajectory".to_string(), - docs: String::new(), - type_ir: string_type.clone(), - shape: string_shape, - path: crate::FieldPath::new(["trajectory"]), - constraints: &[], - format: None, - }, - ], - vec![ - crate::FieldSchema { - lm_name: "thought", - rust_name: "thought".to_string(), - docs: String::new(), - type_ir: string_type.clone(), - shape: string_shape, - path: crate::FieldPath::new(["thought"]), - constraints: &[], - format: None, - }, - crate::FieldSchema { - lm_name: "action", - rust_name: "action".to_string(), - docs: String::new(), - type_ir: string_type.clone(), - shape: string_shape, - path: crate::FieldPath::new(["action"]), - constraints: &[], - format: None, - }, - crate::FieldSchema { - lm_name: "action_input", - rust_name: "action_input".to_string(), - docs: String::new(), - type_ir: string_type, - shape: string_shape, - path: crate::FieldPath::new(["action_input"]), - constraints: &[], - format: None, - }, - ], - output_format, - ) -} - -fn react_extract_schema(base_schema: &SignatureSchema) -> SignatureSchema { - let string_shape = >::SHAPE; - let string_type = build_type_ir_from_shape(string_shape); - - SignatureSchema::from_parts( - base_schema.instruction(), - vec![ - crate::FieldSchema { - lm_name: "input", - rust_name: "input".to_string(), - docs: String::new(), - type_ir: string_type.clone(), - shape: string_shape, - path: crate::FieldPath::new(["input"]), - constraints: &[], - format: None, - }, - crate::FieldSchema { - lm_name: "trajectory", - rust_name: "trajectory".to_string(), - docs: String::new(), - type_ir: string_type, - shape: string_shape, - path: crate::FieldPath::new(["trajectory"]), - constraints: &[], - format: None, - }, - ], - base_schema.output_fields().to_vec(), - Arc::new(base_schema.output_format().clone()), - ) -} - -fn required_string_output( - predictor: &SchemaPredictor, - output: &BamlValue, - field: &'static str, -) -> std::result::Result { - let field_schema = predictor - .schema() - .output_field_by_rust(field) - .or_else(|| { - predictor - .schema() - .output_fields() - .iter() - .find(|candidate| candidate.lm_name == field) - }) - .ok_or_else(|| PredictError::Conversion { - source: ConversionError::TypeMismatch { - expected: field, - actual: "missing output field metadata".to_string(), - }, - parsed: output.clone(), - })?; - - let value = predictor - .schema() - .navigate_field(field_schema.path(), output) - .ok_or_else(|| PredictError::Conversion { - source: ConversionError::TypeMismatch { - expected: field, - actual: "missing output value".to_string(), - }, - parsed: output.clone(), - })?; - - match value { - BamlValue::String(s) => Ok(s.clone()), - _ => Err(PredictError::Conversion { - source: ConversionError::TypeMismatch { - expected: field, - actual: format!("{value:?}"), - }, - parsed: output.clone(), - }), - } -} - -fn baml_class(fields: [(&str, BamlValue); N]) -> BamlValue { - let mut map = BamlMap::new(); - for (key, value) in fields { - map.insert(key.to_string(), value); - } - BamlValue::Class("DynamicInput".to_string(), map) -} - -fn baml_value_from_example_keys( - data: &HashMap, - keys: &[String], -) -> Result { - let mut map = BamlMap::new(); - for key in keys { - if let Some(value) = data.get(key) { - let baml_value = - BamlValue::try_from(value.clone()).map_err(|err| anyhow::anyhow!(err))?; - map.insert(key.clone(), baml_value); - } - } - Ok(BamlValue::Class("DynamicExample".to_string(), map)) -} diff --git a/crates/dspy-rs/src/core/dyn_module.rs b/crates/dspy-rs/src/core/dyn_module.rs deleted file mode 100644 index df37a9c3..00000000 --- a/crates/dspy-rs/src/core/dyn_module.rs +++ /dev/null @@ -1,100 +0,0 @@ -use crate::{BamlValue, PredictError, Predicted, SignatureSchema}; - -use super::DynPredictor; - -pub type StrategyConfig = serde_json::Value; -pub type StrategyConfigSchema = serde_json::Value; - -#[derive(Debug, thiserror::Error)] -pub enum StrategyError { - #[error("unknown strategy `{name}`")] - UnknownStrategy { name: String }, - #[error("duplicate strategy registration `{name}`")] - DuplicateStrategy { name: &'static str }, - #[error("invalid config for strategy `{strategy}`: {reason}")] - InvalidConfig { - strategy: &'static str, - reason: String, - }, - #[error("failed to build strategy `{strategy}`: {reason}")] - BuildFailed { - strategy: &'static str, - reason: String, - }, -} - -#[async_trait::async_trait] -pub trait DynModule: Send + Sync { - fn schema(&self) -> &SignatureSchema; - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)>; - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)>; - async fn forward( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError>; -} - -pub trait StrategyFactory: Send + Sync { - fn name(&self) -> &'static str; - fn config_schema(&self) -> StrategyConfigSchema; - fn create( - &self, - base_schema: &SignatureSchema, - config: StrategyConfig, - ) -> std::result::Result, StrategyError>; -} - -pub struct StrategyFactoryRegistration { - pub factory: &'static dyn StrategyFactory, -} - -inventory::collect!(StrategyFactoryRegistration); - -pub mod registry { - use std::collections::HashSet; - - use crate::SignatureSchema; - - use super::{DynModule, StrategyConfig, StrategyError, StrategyFactory}; - - pub fn get(name: &str) -> std::result::Result<&'static dyn StrategyFactory, StrategyError> { - let mut matches = inventory::iter:: - .into_iter() - .filter(|registration| registration.factory.name() == name) - .map(|registration| registration.factory); - - let first = matches - .next() - .ok_or_else(|| StrategyError::UnknownStrategy { - name: name.to_string(), - })?; - - if matches.next().is_some() { - return Err(StrategyError::DuplicateStrategy { name: first.name() }); - } - - Ok(first) - } - - pub fn create( - name: &str, - schema: &SignatureSchema, - config: StrategyConfig, - ) -> std::result::Result, StrategyError> { - let factory = get(name)?; - factory.create(schema, config) - } - - pub fn list() -> Vec<&'static str> { - let mut seen = HashSet::new(); - let mut names = Vec::new(); - for registration in inventory::iter:: { - let name = registration.factory.name(); - if seen.insert(name) { - names.push(name); - } - } - names.sort_unstable(); - names - } -} diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index 82bc8a77..71bf2e2a 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -5,7 +5,7 @@ use anyhow::Result; use bamltype::facet_reflect::Peek; use facet::{ConstTypeId, Def, Facet, KnownPointer, Shape, Type, UserType}; -use crate::{BamlValue, Example, PredictError, Predicted, SignatureSchema}; +use crate::{Example, SignatureSchema}; /// Type-erased optimizer handle to a [`crate::Predict`] leaf. /// @@ -28,10 +28,6 @@ use crate::{BamlValue, Example, PredictError, Predicted, SignatureSchema}; /// Normal users never touch this — you pass your module to `optimizer.compile()` /// and it uses `DynPredictor` internally. /// -/// Note: [`forward_untyped`](DynPredictor::forward_untyped) goes through a -/// `BamlValue → typed → LM call → typed → BamlValue` round-trip. Fine for -/// optimizer eval loops, but not the fast path for production calls. -#[async_trait::async_trait] pub trait DynPredictor: Send + Sync { /// Returns the [`SignatureSchema`] for this predictor's signature. fn schema(&self) -> &SignatureSchema; @@ -62,12 +58,6 @@ pub trait DynPredictor: Send + Sync { /// /// Returns an error if the demos can't be converted to the predictor's typed format. fn load_state(&mut self, state: PredictState) -> Result<()>; - - /// Runs the predictor with untyped input/output for optimizer evaluation loops. - async fn forward_untyped( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError>; } /// Serializable snapshot of a [`crate::Predict`]'s mutable state. @@ -87,13 +77,11 @@ pub struct PredictState { #[facet(opaque)] pub struct PredictAccessorFns { pub accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, - pub accessor_ref: fn(*const ()) -> *const dyn DynPredictor, } impl PartialEq for PredictAccessorFns { fn eq(&self, other: &Self) -> bool { std::ptr::fn_addr_eq(self.accessor_mut, other.accessor_mut) - && std::ptr::fn_addr_eq(self.accessor_ref, other.accessor_ref) } } @@ -119,12 +107,8 @@ fn accessor_registry() -> &'static Mutex *mut dyn DynPredictor, - accessor_ref: fn(*const ()) -> *const dyn DynPredictor, ) { - let registration = PredictAccessorFns { - accessor_mut, - accessor_ref, - }; + let registration = PredictAccessorFns { accessor_mut }; let mut guard = accessor_registry() .lock() .expect("predict accessor registry lock poisoned"); @@ -206,29 +190,6 @@ where Ok(handles) } -/// Like [`named_parameters`], but with shared `&` access (read-only). -/// -/// Useful for inspecting parameter state without exclusive access. -#[tracing::instrument(level = "debug", name = "dsrs.named_parameters_ref", skip(module))] -pub fn named_parameters_ref( - module: &M, -) -> std::result::Result, NamedParametersError> -where - M: for<'a> Facet<'a>, -{ - let mut raw_handles = Vec::<(String, *const dyn DynPredictor)>::new(); - walk_value::(Peek::new(module), "", &mut raw_handles)?; - - let mut handles = Vec::with_capacity(raw_handles.len()); - for (path, ptr) in raw_handles { - // SAFETY: pointers are created from a shared traversal over `module`. - let handle = unsafe { &*ptr }; - handles.push((path, handle)); - } - - Ok(handles) -} - trait WalkAccess { type RawPtr; @@ -247,16 +208,6 @@ impl WalkAccess for MutableAccess { } } -struct SharedAccess; - -impl WalkAccess for SharedAccess { - type RawPtr = *const dyn DynPredictor; - - fn pointer(accessor: PredictAccessorFns, value: Peek<'_, '_>) -> Self::RawPtr { - (accessor.accessor_ref)(value.data().as_byte_ptr().cast::<()>()) - } -} - fn walk_value( value: Peek<'_, '_>, path: &str, diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index 5b328f69..41dd32c9 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -1,26 +1,20 @@ -pub mod dyn_factories; -pub mod dyn_module; pub mod dyn_predictor; mod errors; pub mod lm; pub mod module; mod module_ext; mod predicted; -pub mod program_graph; mod schema; pub mod settings; pub mod signature; pub mod specials; -pub use dyn_factories::*; -pub use dyn_module::*; pub use dyn_predictor::*; pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; pub use lm::*; pub use module::*; pub use module_ext::*; pub use predicted::{CallMetadata, ConstraintResult, FieldMeta, Predicted}; -pub use program_graph::*; pub use schema::{FieldMetadataSpec, FieldPath, FieldSchema, SignatureSchema}; pub use settings::*; pub use signature::*; diff --git a/crates/dspy-rs/src/core/program_graph.rs b/crates/dspy-rs/src/core/program_graph.rs deleted file mode 100644 index 10925b83..00000000 --- a/crates/dspy-rs/src/core/program_graph.rs +++ /dev/null @@ -1,893 +0,0 @@ -use std::collections::{HashMap, HashSet, VecDeque}; - -use facet::Facet; -use indexmap::IndexMap; - -use bamltype::baml_types::{BamlMap, LiteralValue, TypeValue}; - -use crate::core::{DynModule, PredictState, named_parameters, named_parameters_ref}; -use crate::{BamlValue, PredictError, SignatureSchema, TypeIR}; - -const INPUT_NODE: &str = "input"; - -pub struct ProgramGraph { - nodes: IndexMap, - edges: Vec, -} - -pub struct Node { - pub schema: SignatureSchema, - pub module: Box, -} - -impl From> for Node { - fn from(module: Box) -> Self { - let schema = module.schema().clone(); - Self { schema, module } - } -} - -impl std::fmt::Debug for Node { - fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { - f.debug_struct("Node") - .field("schema", &self.schema) - .finish_non_exhaustive() - } -} - -impl std::fmt::Debug for ProgramGraph { - fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { - f.debug_struct("ProgramGraph") - .field("nodes", &self.nodes) - .field("edges", &self.edges) - .finish() - } -} - -#[derive(Debug, Clone, PartialEq, Eq)] -pub struct Edge { - pub from_node: String, - pub from_field: String, - pub to_node: String, - pub to_field: String, -} - -impl Edge { - fn matches_endpoints(&self, from: &str, from_field: &str, to: &str, to_field: &str) -> bool { - self.from_node == from - && self.from_field == from_field - && self.to_node == to - && self.to_field == to_field - } -} - -#[derive(Debug, Clone, PartialEq, Eq)] -pub struct GraphEdgeAnnotation { - pub from_node: String, - pub from_field: String, - pub to_node: String, - pub to_field: String, -} - -#[derive(Debug, thiserror::Error)] -pub enum GraphError { - #[error("duplicate node `{name}`")] - DuplicateNode { name: String }, - #[error("node name `{name}` is reserved for graph input wiring")] - ReservedNodeName { name: String }, - #[error("missing node `{name}`")] - MissingNode { name: String }, - #[error("missing field `{field}` on node `{node}` ({side})")] - MissingField { - node: String, - field: String, - side: &'static str, - }, - #[error("edge type mismatch `{from_node}.{from_field}` -> `{to_node}.{to_field}`")] - TypeMismatch { - from_node: String, - from_field: String, - to_node: String, - to_field: String, - }, - #[error("duplicate edge `{from_node}.{from_field}` -> `{to_node}.{to_field}`")] - DuplicateEdge { - from_node: String, - from_field: String, - to_node: String, - to_field: String, - }, - #[error("graph contains cycle")] - Cycle, - #[error("graph has no sink nodes")] - NoSink, - #[error("graph has multiple sinks: {sinks:?}")] - AmbiguousSink { sinks: Vec }, - #[error("projection mismatch at `{path}`: {reason}")] - ProjectionMismatch { path: String, reason: String }, - #[error("node `{node}` execution failed")] - Execution { - node: String, - #[source] - source: PredictError, - }, -} - -pub trait TypeIrAssignabilityExt { - fn is_assignable_to(&self, to: &TypeIR) -> bool; -} - -impl TypeIrAssignabilityExt for TypeIR { - fn is_assignable_to(&self, to: &TypeIR) -> bool { - type_ir_is_assignable(self, to) - } -} - -fn type_ir_is_assignable(from: &TypeIR, to: &TypeIR) -> bool { - if from == to { - return true; - } - - if matches!(to, TypeIR::Top(_)) { - return true; - } - - match (from, to) { - (TypeIR::Literal(from_lit, _), TypeIR::Primitive(to_primitive, _)) => { - literal_is_assignable_to_primitive(from_lit, to_primitive) - } - (TypeIR::Union(from_union, _), _) => from_union - .iter_include_null() - .into_iter() - .all(|from_branch| type_ir_is_assignable(from_branch, to)), - (_, TypeIR::Union(to_union, _)) => to_union - .iter_include_null() - .into_iter() - .any(|to_branch| type_ir_is_assignable(from, to_branch)), - (TypeIR::List(from_inner, _), TypeIR::List(to_inner, _)) => { - type_ir_is_assignable(from_inner, to_inner) - } - (TypeIR::Map(from_key, from_value, _), TypeIR::Map(to_key, to_value, _)) => { - type_ir_is_assignable(from_key, to_key) && type_ir_is_assignable(from_value, to_value) - } - (TypeIR::Tuple(from_items, _), TypeIR::Tuple(to_items, _)) => { - from_items.len() == to_items.len() - && from_items - .iter() - .zip(to_items) - .all(|(from_item, to_item)| type_ir_is_assignable(from_item, to_item)) - } - ( - TypeIR::Class { - name: from_name, - dynamic: from_dynamic, - .. - }, - TypeIR::Class { - name: to_name, - dynamic: to_dynamic, - .. - }, - ) => from_name == to_name && from_dynamic == to_dynamic, - ( - TypeIR::Enum { - name: from_name, - dynamic: from_dynamic, - .. - }, - TypeIR::Enum { - name: to_name, - dynamic: to_dynamic, - .. - }, - ) => from_name == to_name && from_dynamic == to_dynamic, - ( - TypeIR::RecursiveTypeAlias { - name: from_name, - mode: from_mode, - .. - }, - TypeIR::RecursiveTypeAlias { - name: to_name, - mode: to_mode, - .. - }, - ) => from_name == to_name && from_mode == to_mode, - _ => false, - } -} - -fn literal_is_assignable_to_primitive(from: &LiteralValue, to: &TypeValue) -> bool { - matches!( - (from, to), - (LiteralValue::String(_), TypeValue::String) - | (LiteralValue::Int(_), TypeValue::Int) - | (LiteralValue::Bool(_), TypeValue::Bool) - ) -} - -fn projection_mismatch(path: impl Into, reason: impl Into) -> GraphError { - GraphError::ProjectionMismatch { - path: path.into(), - reason: reason.into(), - } -} - -fn reserved_node_name(name: &str) -> GraphError { - GraphError::ReservedNodeName { - name: name.to_string(), - } -} - -fn missing_node(name: &str) -> GraphError { - GraphError::MissingNode { - name: name.to_string(), - } -} - -fn missing_field(node: &str, field: &str, side: &'static str) -> GraphError { - GraphError::MissingField { - node: node.to_string(), - field: field.to_string(), - side, - } -} - -fn duplicate_edge(from: &str, from_field: &str, to: &str, to_field: &str) -> GraphError { - GraphError::DuplicateEdge { - from_node: from.to_string(), - from_field: from_field.to_string(), - to_node: to.to_string(), - to_field: to_field.to_string(), - } -} - -fn sync_node_schema(node: &mut Node) { - // Keep schema/module in sync even when callers manually construct Node. - node.schema = node.module.schema().clone(); -} - -impl ProgramGraph { - pub fn new() -> Self { - Self { - nodes: IndexMap::new(), - edges: Vec::new(), - } - } - - pub fn nodes(&self) -> &IndexMap { - &self.nodes - } - - pub fn nodes_mut(&mut self) -> &mut IndexMap { - &mut self.nodes - } - - pub fn edges(&self) -> &[Edge] { - &self.edges - } - - pub fn add_node( - &mut self, - name: impl Into, - node: impl Into, - ) -> Result<(), GraphError> { - let name = name.into(); - if name == INPUT_NODE { - return Err(reserved_node_name(&name)); - } - if self.nodes.contains_key(&name) { - return Err(GraphError::DuplicateNode { name }); - } - let mut node = node.into(); - sync_node_schema(&mut node); - self.nodes.insert(name, node); - Ok(()) - } - - pub fn remove_node(&mut self, name: &str) -> Result { - let removed = self - .nodes - .shift_remove(name) - .ok_or_else(|| missing_node(name))?; - self.edges - .retain(|edge| edge.from_node != name && edge.to_node != name); - Ok(removed) - } - - pub fn connect( - &mut self, - from: &str, - from_field: &str, - to: &str, - to_field: &str, - ) -> Result<(), GraphError> { - self.validate_edge(from, from_field, to, to_field)?; - if self - .edges - .iter() - .any(|edge| edge.matches_endpoints(from, from_field, to, to_field)) - { - return Err(duplicate_edge(from, from_field, to, to_field)); - } - self.edges.push(Edge { - from_node: from.to_string(), - from_field: from_field.to_string(), - to_node: to.to_string(), - to_field: to_field.to_string(), - }); - Ok(()) - } - - pub fn replace_node(&mut self, name: &str, node: impl Into) -> Result<(), GraphError> { - if name == INPUT_NODE { - return Err(reserved_node_name(name)); - } - if !self.nodes.contains_key(name) { - return Err(missing_node(name)); - } - let mut node = node.into(); - sync_node_schema(&mut node); - - let incident = self - .edges - .iter() - .filter(|edge| edge.from_node == name || edge.to_node == name) - .cloned() - .collect::>(); - - let old = self - .nodes - .insert(name.to_string(), node) - .expect("node existence checked"); - - for edge in incident { - if let Err(err) = self.validate_edge( - &edge.from_node, - &edge.from_field, - &edge.to_node, - &edge.to_field, - ) { - self.nodes.insert(name.to_string(), old); - return Err(err); - } - } - - Ok(()) - } - - pub fn insert_between( - &mut self, - from: &str, - to: &str, - inserted_name: impl Into, - inserted_node: Node, - from_field: &str, - to_field: &str, - ) -> Result<(), GraphError> { - let inserted_name = inserted_name.into(); - if inserted_name == INPUT_NODE { - return Err(reserved_node_name(&inserted_name)); - } - if self.nodes.contains_key(&inserted_name) { - return Err(GraphError::DuplicateNode { - name: inserted_name, - }); - } - - let edge_index = self - .edges - .iter() - .position(|edge| edge.matches_endpoints(from, from_field, to, to_field)) - .ok_or_else(|| { - projection_mismatch( - format!("{from}.{from_field}->{to}.{to_field}"), - "edge not found for insert_between", - ) - })?; - - let mut inserted_node = inserted_node; - sync_node_schema(&mut inserted_node); - - let inserted_input = inserted_node - .schema - .input_fields() - .first() - .ok_or_else(|| projection_mismatch(inserted_name.clone(), "inserted node has no input fields"))? - .rust_name - .clone(); - let inserted_output = inserted_node - .schema - .output_fields() - .first() - .ok_or_else(|| { - projection_mismatch(inserted_name.clone(), "inserted node has no output fields") - })? - .rust_name - .clone(); - if inserted_node.schema.input_fields().len() != 1 || inserted_node.schema.output_fields().len() != 1 - { - return Err(projection_mismatch( - inserted_name, - "insert_between requires inserted node to expose exactly one input and one output field", - )); - } - - self.nodes.insert(inserted_name.clone(), inserted_node); - - let direct_edge = self.edges.remove(edge_index); - - if let Err(err) = self.connect( - &direct_edge.from_node, - &direct_edge.from_field, - &inserted_name, - &inserted_input, - ) { - self.nodes.shift_remove(&inserted_name); - self.edges.insert(edge_index, direct_edge); - return Err(err); - } - - if let Err(err) = self.connect( - &inserted_name, - &inserted_output, - &direct_edge.to_node, - &direct_edge.to_field, - ) { - self.nodes.shift_remove(&inserted_name); - self.edges.retain(|edge| { - !edge.matches_endpoints( - &direct_edge.from_node, - &direct_edge.from_field, - &inserted_name, - &inserted_input, - ) - }); - self.edges.insert(edge_index, direct_edge); - return Err(err); - } - - Ok(()) - } - - pub async fn execute(&self, input: BamlValue) -> Result { - let order = self.topological_order()?; - let mut outputs: HashMap = HashMap::new(); - - for node_name in &order { - let node = self - .nodes - .get(node_name) - .ok_or_else(|| missing_node(node_name))?; - - let incoming = self - .edges - .iter() - .filter(|edge| edge.to_node == *node_name) - .collect::>(); - - let node_input = - if incoming.is_empty() { - input.clone() - } else { - let mut map = BamlMap::new(); - for edge in incoming { - if edge.from_node == INPUT_NODE { - let value = navigate_runtime_path(&input, &edge.from_field) - .ok_or_else(|| { - projection_mismatch( - format!("{INPUT_NODE}.{}", edge.from_field), - "source value missing", - ) - })?; - let to_schema = find_input_field(&node.schema, &edge.to_field) - .ok_or_else(|| missing_field(&edge.to_node, &edge.to_field, "input"))?; - insert_baml_at_path(&mut map, to_schema.path(), value.clone()); - continue; - } - - let upstream = outputs - .get(&edge.from_node) - .ok_or_else(|| projection_mismatch(&edge.from_node, "missing upstream output"))?; - let from_node = self - .nodes - .get(&edge.from_node) - .ok_or_else(|| missing_node(&edge.from_node))?; - let from_schema = find_output_field(&from_node.schema, &edge.from_field) - .ok_or_else(|| missing_field(&edge.from_node, &edge.from_field, "output"))?; - let value = from_node - .schema - .navigate_field(from_schema.path(), upstream) - .ok_or_else(|| { - projection_mismatch( - format!("{}.{}", edge.from_node, edge.from_field), - "source value missing", - ) - })? - .clone(); - - let to_schema = find_input_field(&node.schema, &edge.to_field) - .ok_or_else(|| missing_field(&edge.to_node, &edge.to_field, "input"))?; - - insert_baml_at_path(&mut map, to_schema.path(), value); - } - BamlValue::Class("GraphInput".to_string(), map) - }; - - let predicted = - node.module - .forward(node_input) - .await - .map_err(|source| GraphError::Execution { - node: node_name.clone(), - source, - })?; - outputs.insert(node_name.clone(), predicted.into_inner()); - } - - let sinks = self.sink_nodes(); - match sinks.len() { - 0 => Err(GraphError::NoSink), - 1 => outputs - .remove(&sinks[0]) - .ok_or_else(|| projection_mismatch(sinks[0].clone(), "sink output missing")), - _ => Err(GraphError::AmbiguousSink { sinks }), - } - } - - pub fn from_module(module: &M) -> Result - where - M: for<'a> Facet<'a>, - { - Self::from_module_with_annotations(module, &[]) - } - - pub fn from_module_with_annotations( - module: &M, - annotations: &[GraphEdgeAnnotation], - ) -> Result - where - M: for<'a> Facet<'a>, - { - let mut graph = ProgramGraph::new(); - let predictors = - named_parameters_ref(module).map_err(|err| projection_mismatch("", err.to_string()))?; - - for (path, predictor) in predictors { - let state = predictor.dump_state(); - - let mut dyn_module: Box = - Box::new(crate::core::PredictDynModule::new(predictor.schema().clone())); - let mut leaves = dyn_module.predictors_mut(); - if leaves.len() != 1 { - return Err(projection_mismatch( - path, - format!( - "dynamic module must expose exactly one predictor leaf, found {}", - leaves.len() - ), - )); - } - let (_, dyn_predictor) = leaves - .pop() - .expect("non-empty after explicit predictor count check"); - dyn_predictor - .load_state(state) - .map_err(|err| projection_mismatch(path.clone(), err.to_string()))?; - - graph.add_node(path, dyn_module)?; - } - - for annotation in annotations { - graph.connect( - &annotation.from_node, - &annotation.from_field, - &annotation.to_node, - &annotation.to_field, - )?; - } - - if graph.edges.is_empty() { - graph.infer_edges_by_schema_order()?; - } - if graph.nodes.len() > 1 && graph.edges.is_empty() { - return Err(projection_mismatch( - "", - "projection produced multiple nodes with no resolvable edges", - )); - } - - Ok(graph) - } - - pub fn fit(&self, module: &mut M) -> Result<(), GraphError> - where - M: for<'a> Facet<'a>, - { - let mut destination = - named_parameters(module).map_err(|err| projection_mismatch("", err.to_string()))?; - let destination_index = destination - .iter() - .enumerate() - .map(|(idx, (path, _))| (path.clone(), idx)) - .collect::>(); - let mut matched_destinations = HashSet::with_capacity(destination.len()); - - for (node_name, node) in &self.nodes { - let mut node_predictors = node.module.predictors(); - if node_predictors.len() != 1 { - return Err(projection_mismatch( - node_name.clone(), - format!( - "graph node must expose exactly one predictor leaf, found {}", - node_predictors.len() - ), - )); - } - let (_, predictor) = node_predictors - .pop() - .expect("non-empty after explicit predictor count check"); - let state: PredictState = predictor.dump_state(); - - let Some(&destination_idx) = destination_index.get(node_name) else { - return Err(projection_mismatch( - node_name.clone(), - "graph node has no matching typed predictor path", - )); - }; - matched_destinations.insert(destination_idx); - let (_, target) = destination - .get_mut(destination_idx) - .expect("index derived from current destination vector"); - target - .load_state(state) - .map_err(|err| projection_mismatch(node_name.clone(), err.to_string()))?; - } - - if matched_destinations.len() != destination.len() { - let missing_path = destination - .iter() - .enumerate() - .find_map(|(idx, (path, _))| (!matched_destinations.contains(&idx)).then_some(path)) - .expect("mismatch implies at least one destination path is unmatched"); - return Err(projection_mismatch( - missing_path.clone(), - "typed predictor path has no matching graph node", - )); - } - - Ok(()) - } - - fn infer_edges_by_schema_order(&mut self) -> Result<(), GraphError> { - let node_names = self.nodes.keys().cloned().collect::>(); - let mut inferred = Vec::<(String, String, String, String)>::new(); - - for from_idx in 0..node_names.len() { - for to_idx in (from_idx + 1)..node_names.len() { - let from_name = &node_names[from_idx]; - let to_name = &node_names[to_idx]; - let from_schema = &self - .nodes - .get(from_name) - .expect("node names collected from map") - .schema; - let to_schema = &self - .nodes - .get(to_name) - .expect("node names collected from map") - .schema; - - for from_field in from_schema.output_fields() { - for to_field in to_schema.input_fields() { - let names_match = from_field.rust_name == to_field.rust_name - || from_field.lm_name == to_field.lm_name; - if !names_match { - continue; - } - if !from_field.type_ir.is_assignable_to(&to_field.type_ir) { - continue; - } - inferred.push(( - from_name.clone(), - from_field.rust_name.clone(), - to_name.clone(), - to_field.rust_name.clone(), - )); - } - } - } - } - - for (from_node, from_field, to_node, to_field) in inferred { - self.connect(&from_node, &from_field, &to_node, &to_field)?; - } - Ok(()) - } - - fn validate_edge( - &self, - from: &str, - from_field: &str, - to: &str, - to_field: &str, - ) -> Result<(), GraphError> { - let to_node = self.nodes.get(to).ok_or_else(|| missing_node(to))?; - let to_schema = find_input_field(&to_node.schema, to_field) - .ok_or_else(|| missing_field(to, to_field, "input"))?; - - if from == INPUT_NODE { - if from_field.trim().is_empty() { - return Err(projection_mismatch( - format!("{INPUT_NODE}.{from_field}"), - "input edge field cannot be empty", - )); - } - return Ok(()); - } - - let from_node = self - .nodes - .get(from) - .ok_or_else(|| missing_node(from))?; - let from_schema = find_output_field(&from_node.schema, from_field) - .ok_or_else(|| missing_field(from, from_field, "output"))?; - - if !from_schema.type_ir.is_assignable_to(&to_schema.type_ir) { - return Err(GraphError::TypeMismatch { - from_node: from.to_string(), - from_field: from_field.to_string(), - to_node: to.to_string(), - to_field: to_field.to_string(), - }); - } - - Ok(()) - } - - fn topological_order(&self) -> Result, GraphError> { - let mut indegree: HashMap<&str, usize> = self - .nodes - .keys() - .map(|name| (name.as_str(), 0usize)) - .collect(); - - for edge in &self.edges { - if edge.from_node == INPUT_NODE { - if !self.nodes.contains_key(&edge.to_node) { - return Err(missing_node(&edge.to_node)); - } - continue; - } - if !self.nodes.contains_key(&edge.from_node) { - return Err(missing_node(&edge.from_node)); - } - if !self.nodes.contains_key(&edge.to_node) { - return Err(missing_node(&edge.to_node)); - } - *indegree - .get_mut(edge.to_node.as_str()) - .expect("to_node existence checked") += 1; - } - - let mut queue = VecDeque::new(); - for name in self.nodes.keys() { - if indegree[name.as_str()] == 0 { - queue.push_back(name.clone()); - } - } - - let mut order = Vec::with_capacity(self.nodes.len()); - while let Some(node) = queue.pop_front() { - order.push(node.clone()); - for edge in self.edges.iter().filter(|edge| edge.from_node == node) { - let target = edge.to_node.as_str(); - let current = indegree.get_mut(target).expect("target should exist"); - *current -= 1; - if *current == 0 { - queue.push_back(edge.to_node.clone()); - } - } - } - - if order.len() != self.nodes.len() { - return Err(GraphError::Cycle); - } - - Ok(order) - } - - fn sink_nodes(&self) -> Vec { - let mut outgoing = HashMap::<&str, usize>::new(); - for name in self.nodes.keys() { - outgoing.insert(name, 0); - } - for edge in &self.edges { - if let Some(count) = outgoing.get_mut(edge.from_node.as_str()) { - *count += 1; - } - } - - self.nodes - .keys() - .filter(|name| outgoing.get(name.as_str()).copied().unwrap_or(0) == 0) - .cloned() - .collect() - } -} - -impl Default for ProgramGraph { - fn default() -> Self { - Self::new() - } -} - -fn find_input_field<'a>( - schema: &'a SignatureSchema, - field: &str, -) -> Option<&'a crate::FieldSchema> { - schema - .input_fields() - .iter() - .find(|candidate| candidate.rust_name == field || candidate.lm_name == field) -} - -fn find_output_field<'a>( - schema: &'a SignatureSchema, - field: &str, -) -> Option<&'a crate::FieldSchema> { - schema - .output_fields() - .iter() - .find(|candidate| candidate.rust_name == field || candidate.lm_name == field) -} - -fn navigate_runtime_path<'a>(root: &'a BamlValue, field_path: &str) -> Option<&'a BamlValue> { - let mut current = root; - for part in field_path.split('.').filter(|part| !part.is_empty()) { - current = match current { - BamlValue::Class(_, map) | BamlValue::Map(map) => map.get(part)?, - _ => return None, - }; - } - Some(current) -} - -fn insert_baml_at_path( - root: &mut BamlMap, - path: &crate::FieldPath, - value: BamlValue, -) { - let parts: Vec<_> = path.iter().collect(); - if parts.is_empty() { - return; - } - insert_baml_at_parts(root, &parts, value); -} - -fn insert_baml_at_parts( - root: &mut BamlMap, - parts: &[&'static str], - value: BamlValue, -) { - if parts.len() == 1 { - root.insert(parts[0].to_string(), value); - return; - } - - let key = parts[0].to_string(); - let entry = root - .entry(key) - .or_insert_with(|| BamlValue::Map(BamlMap::new())); - - if !matches!(entry, BamlValue::Map(_) | BamlValue::Class(_, _)) { - *entry = BamlValue::Map(BamlMap::new()); - } - - let child = match entry { - BamlValue::Map(map) | BamlValue::Class(_, map) => map, - _ => unreachable!(), - }; - - insert_baml_at_parts(child, &parts[1..], value); -} diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 5ff93784..8624103b 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -52,17 +52,6 @@ where dyn_ref as *mut dyn DynPredictor } -fn predict_dyn_accessor_ref(value: *const ()) -> *const dyn DynPredictor -where - S: Signature, -{ - // SAFETY: this function is only called via `register_predict_accessor` for - // `Predict`'s own shape, so `value` points at a valid `Predict`. - let typed = unsafe { &*(value.cast::>()) }; - let dyn_ref: &dyn DynPredictor = typed; - dyn_ref as *const dyn DynPredictor -} - /// The leaf module. The only thing in the system that actually calls the LM. /// /// One `Predict` = one prompt template = one LM call. It takes a [`Signature`]'s fields @@ -123,7 +112,6 @@ impl Predict { register_predict_accessor( >::SHAPE, predict_dyn_accessor::, - predict_dyn_accessor_ref::, ); Self { tools: Vec::new(), @@ -364,7 +352,6 @@ impl PredictBuilder { register_predict_accessor( as facet::Facet<'static>>::SHAPE, predict_dyn_accessor::, - predict_dyn_accessor_ref::, ); Predict { tools: self.tools, @@ -516,40 +503,6 @@ where } } -impl Predict -where - S: Signature, - S::Input: BamlType, - S::Output: BamlType, -{ - #[tracing::instrument( - name = "dsrs.predict.forward_untyped", - level = "debug", - skip(self, input), - fields(signature = std::any::type_name::()) - )] - pub async fn forward_untyped( - &self, - input: BamlValue, - ) -> Result, PredictError> { - let typed_input = match S::Input::try_from_baml_value(input.clone()) { - Ok(typed_input) => typed_input, - Err(err) => { - debug!(error = %err, "untyped input conversion failed"); - return Err(PredictError::Conversion { - source: err.into(), - parsed: input, - }); - } - }; - let predicted = self.call(typed_input).await?; - let (output, metadata) = predicted.into_parts(); - debug!("typed predict forward_untyped complete"); - Ok(Predicted::new(output.to_baml_value(), metadata)) - } -} - -#[async_trait::async_trait] impl DynPredictor for Predict where S: Signature, @@ -599,11 +552,4 @@ where self.instruction_override = state.instruction_override; Ok(()) } - - async fn forward_untyped( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError> { - Predict::forward_untyped(self, input).await - } } diff --git a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs b/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs deleted file mode 100644 index 22914431..00000000 --- a/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs +++ /dev/null @@ -1,193 +0,0 @@ -use std::sync::LazyLock; - -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ - BamlType, BamlValue, ChatAdapter, LM, LMClient, Predict, PredictError, Signature, - TestCompletionModel, configure, named_parameters, -}; -use rig::completion::AssistantContent; -use rig::message::Text; -use tokio::sync::Mutex; - -static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); - -fn response_with_fields(fields: &[(&str, &str)]) -> String { - let mut response = String::new(); - for (name, value) in fields { - response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); - } - response.push_str("[[ ## completed ## ]]\n"); - response -} - -fn text_response(text: impl Into) -> AssistantContent { - AssistantContent::Text(Text { text: text.into() }) -} - -async fn configure_test_lm(responses: Vec) { - unsafe { - std::env::set_var("OPENAI_API_KEY", "test"); - } - - let client = TestCompletionModel::new(responses.into_iter().map(text_response)); - let lm = LM::builder() - .model("openai:gpt-4o-mini".to_string()) - .build() - .await - .unwrap() - .with_client(LMClient::Test(client)) - .await - .unwrap(); - - configure(lm, ChatAdapter {}); -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct Wrapper { - predictor: Predict, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QAWithConfidence { - #[input] - question: String, - - #[output] - answer: String, - - #[output] - #[check("this >= 0.0 and this <= 1.0", label = "valid_confidence")] - confidence: f32, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct ConfidenceWrapper { - predictor: Predict, -} - -#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] -#[tokio::test] -async fn dyn_predictor_forward_untyped_returns_baml_and_metadata() { - let _lock = SETTINGS_LOCK.lock().await; - let response = response_with_fields(&[("answer", "Paris")]); - configure_test_lm(vec![response.clone(), response]).await; - - let mut module = Wrapper { - predictor: Predict::::new(), - }; - let input = QAInput { - question: "What is the capital of France?".to_string(), - }; - let untyped_input = input.to_baml_value(); - - let untyped = { - let mut params = named_parameters(&mut module).expect("walker should find predictor"); - let (_, predictor) = params - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should exist"); - predictor - .forward_untyped(untyped_input) - .await - .expect("untyped call should succeed") - }; - let typed = module - .predictor - .call(input) - .await - .expect("typed call should succeed"); - - let (untyped_output, untyped_meta) = untyped.into_parts(); - let (typed_output, typed_meta) = typed.into_parts(); - - let untyped_output = QAOutput::try_from_baml_value(untyped_output) - .expect("untyped output should roundtrip to QAOutput"); - assert_eq!(untyped_output.answer, typed_output.answer); - assert!(!untyped_meta.raw_response.is_empty()); - assert_eq!(untyped_meta.raw_response, typed_meta.raw_response); -} - -#[tokio::test] -async fn dyn_predictor_forward_untyped_reports_conversion_error_with_original_payload() { - let predictor = Predict::::new(); - let input = BamlValue::Int(42); - - let err = predictor - .forward_untyped(input.clone()) - .await - .expect_err("invalid untyped input should fail before LM call"); - - match err { - PredictError::Conversion { parsed, .. } => assert_eq!(parsed, input), - other => panic!("expected PredictError::Conversion, got {other:?}"), - } -} - -#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] -#[tokio::test] -async fn dyn_predictor_forward_untyped_preserves_field_metadata_and_checks() { - let _lock = SETTINGS_LOCK.lock().await; - let response = response_with_fields(&[("answer", "Paris"), ("confidence", "1.5")]); - configure_test_lm(vec![response.clone(), response]).await; - - let mut module = ConfidenceWrapper { - predictor: Predict::::new(), - }; - let typed_input = QAWithConfidenceInput { - question: "What is the capital of France?".to_string(), - }; - - let untyped = { - let mut params = named_parameters(&mut module).expect("walker should find predictor"); - let (_, predictor) = params - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should exist"); - predictor - .forward_untyped(typed_input.to_baml_value()) - .await - .expect("untyped call should succeed") - }; - let typed = module - .predictor - .call(typed_input) - .await - .expect("typed call should succeed"); - - let (_, untyped_meta) = untyped.into_parts(); - let (_, typed_meta) = typed.into_parts(); - - assert_eq!(untyped_meta.raw_response, typed_meta.raw_response); - assert_eq!(untyped_meta.field_raw("answer"), typed_meta.field_raw("answer")); - assert_eq!( - untyped_meta.field_raw("confidence"), - typed_meta.field_raw("confidence") - ); - assert_eq!( - untyped_meta.has_failed_checks(), - typed_meta.has_failed_checks() - ); - - let untyped_checks = untyped_meta.field_checks("confidence"); - let typed_checks = typed_meta.field_checks("confidence"); - assert_eq!(untyped_checks.len(), typed_checks.len()); - assert!( - untyped_checks - .iter() - .zip(typed_checks.iter()) - .all(|(left, right)| left.label == right.label && left.passed == right.passed) - ); -} diff --git a/crates/dspy-rs/tests/test_named_parameters_containers.rs b/crates/dspy-rs/tests/test_named_parameters_containers.rs index 15f9f608..95585eff 100644 --- a/crates/dspy-rs/tests/test_named_parameters_containers.rs +++ b/crates/dspy-rs/tests/test_named_parameters_containers.rs @@ -2,7 +2,7 @@ use std::collections::HashMap; use std::rc::Rc; use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{NamedParametersError, Predict as DsPredict, Signature, named_parameters, named_parameters_ref}; +use dspy_rs::{NamedParametersError, Predict as DsPredict, Signature, named_parameters}; #[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] #[facet(crate = facet)] @@ -80,33 +80,7 @@ fn named_parameters_skips_none_option() { } #[test] -fn named_parameters_ref_matches_mutable_with_containers() { - let mut module = ContainerModule { - maybe: Some(DsPredict::::new()), - predictors: vec![DsPredict::::new(), DsPredict::::new()], - by_name: HashMap::from([ - ("z".to_string(), DsPredict::::new()), - ("a".to_string(), DsPredict::::new()), - ]), - boxed: Box::new(DsPredict::::new()), - }; - - let mutable_paths = named_parameters(&mut module) - .expect("mutable traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - let ref_paths = named_parameters_ref(&module) - .expect("shared traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - - assert_eq!(ref_paths, mutable_paths); -} - -#[test] -fn named_parameters_container_path_order_is_stable_across_mut_and_ref_runs() { +fn named_parameters_container_path_order_is_stable_across_runs() { let mut module = ContainerModule { maybe: Some(DsPredict::::new()), predictors: vec![DsPredict::::new(), DsPredict::::new()], @@ -118,16 +92,11 @@ fn named_parameters_container_path_order_is_stable_across_mut_and_ref_runs() { boxed: Box::new(DsPredict::::new()), }; - let expected_mut_paths = named_parameters(&mut module) + let expected_paths = named_parameters(&mut module) .expect("initial mutable traversal should succeed") .into_iter() .map(|(path, _)| path) .collect::>(); - let expected_ref_paths = named_parameters_ref(&module) - .expect("initial shared traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); for _ in 0..32 { let mut_paths = named_parameters(&mut module) @@ -135,14 +104,7 @@ fn named_parameters_container_path_order_is_stable_across_mut_and_ref_runs() { .into_iter() .map(|(path, _)| path) .collect::>(); - let ref_paths = named_parameters_ref(&module) - .expect("shared traversal should remain stable") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - assert_eq!(mut_paths, expected_mut_paths); - assert_eq!(ref_paths, expected_ref_paths); - assert_eq!(ref_paths, mut_paths); + assert_eq!(mut_paths, expected_paths); } } @@ -224,31 +186,8 @@ fn named_parameters_missing_accessor_reports_predict_like_leaf_path() { NamedParametersError::MissingAttr { path } => { assert_eq!(path, "predictor"); assert!( - message.contains("S2 fallback"), - "diagnostic should mention fallback status" - ); - } - other => panic!("expected MissingAttr, got {other:?}"), - } -} - -#[test] -fn named_parameters_ref_missing_accessor_reports_predict_like_leaf_path() { - let module = FakePredictModule { - predictor: Predict { marker: 7 }, - }; - - let err = match named_parameters_ref(&module) { - Ok(_) => panic!("predict-like shapes should fail without accessor registration"), - Err(err) => err, - }; - let message = err.to_string(); - match err { - NamedParametersError::MissingAttr { path } => { - assert_eq!(path, "predictor"); - assert!( - message.contains("S2 fallback"), - "diagnostic should mention fallback status" + message.contains("no registered accessor"), + "diagnostic should mention missing accessor registration" ); } other => panic!("expected MissingAttr, got {other:?}"), diff --git a/crates/dspy-rs/tests/test_named_parameters_ref.rs b/crates/dspy-rs/tests/test_named_parameters_ref.rs deleted file mode 100644 index a1dd4974..00000000 --- a/crates/dspy-rs/tests/test_named_parameters_ref.rs +++ /dev/null @@ -1,211 +0,0 @@ -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ - ChainOfThought, ModuleExt, Predict, PredictError, ReAct, Signature, WithReasoning, - named_parameters, named_parameters_ref, -}; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct Wrapper { - first: Predict, - cot: ChainOfThought, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct DeepWrapper { - nested: Wrapper, - extra: ChainOfThought, -} - -fn drop_reasoning(output: WithReasoning) -> QAOutput { - output.inner -} - -fn drop_reasoning_checked(output: WithReasoning) -> Result { - Ok(output.inner) -} - -#[test] -fn named_parameters_ref_discovers_same_paths_as_named_parameters() { - let mut module = Wrapper { - first: Predict::::new(), - cot: ChainOfThought::::new(), - }; - - let mut mutable = named_parameters(&mut module).expect("mutable walker should succeed"); - let mutable_paths = mutable - .iter_mut() - .map(|(path, _)| path.clone()) - .collect::>(); - let mutable_first_instruction = mutable - .iter_mut() - .find(|(path, _)| path == "first") - .expect("first predictor should be present") - .1 - .instruction(); - - let immutable = named_parameters_ref(&module).expect("immutable walker should succeed"); - let immutable_paths = immutable - .iter() - .map(|(path, _)| path.clone()) - .collect::>(); - - assert_eq!(immutable_paths, mutable_paths); - - let first = immutable - .iter() - .find(|(path, _)| path == "first") - .expect("first predictor should be present"); - assert_eq!(first.1.instruction(), mutable_first_instruction); -} - -#[test] -fn named_parameters_ref_reflects_mutations_from_named_parameters() { - let mut module = Wrapper { - first: Predict::::new(), - cot: ChainOfThought::::new(), - }; - - { - let mut mutable = named_parameters(&mut module).expect("mutable walker should succeed"); - for (path, predictor) in mutable.iter_mut() { - predictor.set_instruction(format!("inst::{path}")); - } - } - - let immutable = named_parameters_ref(&module).expect("immutable walker should succeed"); - let collected = immutable - .iter() - .map(|(path, predictor)| (path.clone(), predictor.instruction())) - .collect::>(); - - assert_eq!( - collected, - vec![ - ("first".to_string(), "inst::first".to_string()), - ("cot.predictor".to_string(), "inst::cot.predictor".to_string()), - ] - ); -} - -#[test] -fn named_parameters_ref_preserves_canonical_paths_through_nested_wrappers() { - let mut module = DeepWrapper { - nested: Wrapper { - first: Predict::::new(), - cot: ChainOfThought::::new(), - }, - extra: ChainOfThought::::new(), - }; - - { - let mut mutable = named_parameters(&mut module).expect("mutable walker should succeed"); - let mutable_paths = mutable - .iter() - .map(|(path, _)| path.clone()) - .collect::>(); - assert_eq!( - mutable_paths, - vec![ - "nested.first".to_string(), - "nested.cot.predictor".to_string(), - "extra.predictor".to_string(), - ] - ); - for (path, predictor) in mutable.iter_mut() { - predictor.set_instruction(format!("nested::{path}")); - } - } - - let immutable = named_parameters_ref(&module).expect("shared walker should succeed"); - let immutable_collected = immutable - .iter() - .map(|(path, predictor)| (path.clone(), predictor.instruction())) - .collect::>(); - - assert_eq!( - immutable_collected, - vec![ - ( - "nested.first".to_string(), - "nested::nested.first".to_string(), - ), - ( - "nested.cot.predictor".to_string(), - "nested::nested.cot.predictor".to_string(), - ), - ( - "extra.predictor".to_string(), - "nested::extra.predictor".to_string(), - ), - ] - ); -} - -#[test] -fn named_parameters_wrapper_paths_are_consistent_for_map_and_and_then() { - let mut mapped = ChainOfThought::::new().map( - drop_reasoning as fn(WithReasoning) -> QAOutput, - ); - let mapped_mut_paths = named_parameters(&mut mapped) - .expect("mutable map traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - let mapped_ref_paths = named_parameters_ref(&mapped) - .expect("shared map traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - assert_eq!(mapped_mut_paths, vec!["inner.predictor".to_string()]); - assert_eq!(mapped_ref_paths, mapped_mut_paths); - - let mut and_then = ChainOfThought::::new().and_then( - drop_reasoning_checked as fn(WithReasoning) -> Result, - ); - let and_then_mut_paths = named_parameters(&mut and_then) - .expect("mutable and_then traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - let and_then_ref_paths = named_parameters_ref(&and_then) - .expect("shared and_then traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - assert_eq!(and_then_mut_paths, vec!["inner.predictor".to_string()]); - assert_eq!(and_then_ref_paths, and_then_mut_paths); -} - -#[test] -fn named_parameters_react_paths_match_between_mut_and_ref_walkers() { - let mut react = ReAct::::new(); - - let mut_paths = named_parameters(&mut react) - .expect("mutable ReAct traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - let ref_paths = named_parameters_ref(&react) - .expect("shared ReAct traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - - assert_eq!( - mut_paths, - vec!["action".to_string(), "extract".to_string()] - ); - assert_eq!(ref_paths, mut_paths); -} diff --git a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs index 0a4c343b..828d4746 100644 --- a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs +++ b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs @@ -2,7 +2,7 @@ use anyhow::Result; use dspy_rs::__macro_support::bamltype::facet; use dspy_rs::{ COPRO, CallMetadata, DynPredictor, Example, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, named_parameters_ref, + PredictError, Predicted, Signature, TypedMetric, named_parameters, }; use serde_json::json; use std::collections::HashMap; @@ -77,7 +77,7 @@ async fn optimizer_mutates_predictor_instruction_via_named_parameters() { .await .expect("COPRO compile should succeed"); - let params = named_parameters_ref(&module).expect("predictor should be discoverable"); + let params = named_parameters(&mut module).expect("predictor should be discoverable"); assert_eq!(params.len(), 1); assert_eq!(params[0].0, "predictor"); diff --git a/crates/dspy-rs/tests/test_program_graph_annotations.rs b/crates/dspy-rs/tests/test_program_graph_annotations.rs deleted file mode 100644 index 65548da3..00000000 --- a/crates/dspy-rs/tests/test_program_graph_annotations.rs +++ /dev/null @@ -1,177 +0,0 @@ -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{GraphEdgeAnnotation, GraphError, Predict, ProgramGraph, Signature}; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct ProduceAnswer { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct ConsumeAnswer { - #[input] - answer: String, - - #[output] - final_answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct ConsumeCount { - #[input] - count: i64, - - #[output] - final_count: i64, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct PlainModule { - source: Predict, - sink: Predict, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct UnresolvableModule { - source: Predict, - sink: Predict, -} - -fn source_to_sink_annotation() -> GraphEdgeAnnotation { - GraphEdgeAnnotation { - from_node: "source".to_string(), - from_field: "answer".to_string(), - to_node: "sink".to_string(), - to_field: "answer".to_string(), - } -} - -#[test] -fn from_module_with_annotations_applies_edges_without_global_state() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let graph = ProgramGraph::from_module_with_annotations(&module, &[source_to_sink_annotation()]) - .expect("projection with explicit annotations should succeed"); - - assert_eq!(graph.edges().len(), 1); - assert_eq!(graph.edges()[0].from_node, "source"); - assert_eq!(graph.edges()[0].from_field, "answer"); - assert_eq!(graph.edges()[0].to_node, "sink"); - assert_eq!(graph.edges()[0].to_field, "answer"); -} - -#[test] -fn from_module_with_annotations_rejects_invalid_field_paths() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let annotations = [GraphEdgeAnnotation { - from_node: "source".to_string(), - from_field: "answer".to_string(), - to_node: "sink".to_string(), - to_field: "missing".to_string(), - }]; - - let err = ProgramGraph::from_module_with_annotations(&module, &annotations) - .expect_err("invalid annotation path should fail projection"); - assert!(matches!(err, GraphError::MissingField { .. })); -} - -#[test] -fn from_module_with_annotations_rejects_unknown_nodes() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let annotations = [GraphEdgeAnnotation { - from_node: "missing".to_string(), - from_field: "answer".to_string(), - to_node: "sink".to_string(), - to_field: "answer".to_string(), - }]; - - let err = ProgramGraph::from_module_with_annotations(&module, &annotations) - .expect_err("unknown annotation nodes should fail projection"); - assert!(matches!(err, GraphError::MissingNode { .. })); -} - -#[test] -fn from_module_with_annotations_rejects_duplicate_explicit_edges() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let annotation = source_to_sink_annotation(); - let err = ProgramGraph::from_module_with_annotations(&module, &[annotation.clone(), annotation]) - .expect_err("duplicate explicit annotations should fail projection"); - assert!(matches!(err, GraphError::DuplicateEdge { .. })); -} - -#[test] -fn from_module_without_annotations_falls_back_to_inference() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let graph = ProgramGraph::from_module(&module).expect("projection should succeed"); - assert_eq!(graph.edges().len(), 1); - assert_eq!(graph.edges()[0].from_node, "source"); - assert_eq!(graph.edges()[0].from_field, "answer"); - assert_eq!(graph.edges()[0].to_node, "sink"); - assert_eq!(graph.edges()[0].to_field, "answer"); -} - -#[test] -fn from_module_with_empty_annotations_falls_back_to_inference() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let inferred = ProgramGraph::from_module(&module).expect("projection should succeed"); - let explicit_empty = ProgramGraph::from_module_with_annotations(&module, &[]) - .expect("projection with empty annotations should still infer edges"); - - assert_eq!(explicit_empty.edges(), inferred.edges()); -} - -#[test] -fn projection_is_deterministic_across_repeated_calls_without_registration() { - let module = PlainModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let graph_a = ProgramGraph::from_module(&module).expect("first projection should succeed"); - let graph_b = ProgramGraph::from_module(&module).expect("second projection should succeed"); - - assert_eq!(graph_a.edges(), graph_b.edges()); -} - -#[test] -fn from_module_errors_when_multi_node_edges_cannot_be_inferred() { - let module = UnresolvableModule { - source: Predict::::new(), - sink: Predict::::new(), - }; - - let err = ProgramGraph::from_module(&module) - .expect_err("projection should fail when no edges can be resolved"); - assert!(matches!(err, GraphError::ProjectionMismatch { .. })); -} diff --git a/crates/dspy-rs/tests/test_program_graph_execution.rs b/crates/dspy-rs/tests/test_program_graph_execution.rs deleted file mode 100644 index a1800eb7..00000000 --- a/crates/dspy-rs/tests/test_program_graph_execution.rs +++ /dev/null @@ -1,418 +0,0 @@ -use std::sync::LazyLock; - -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::__macro_support::indexmap::IndexMap; -use dspy_rs::{ - BamlType, BamlValue, CallMetadata, ChainOfThought, ChatAdapter, DynModule, DynPredictor, - GraphError, LMClient, Node, Predict, PredictError, Predicted, ProgramGraph, Signature, - SignatureSchema, TestCompletionModel, configure, registry, -}; -use rig::completion::{ - AssistantContent, CompletionRequest, Message as RigMessage, message::UserContent, -}; -use rig::message::Text; -use tokio::sync::Mutex; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QuestionToAnswer { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct AnswerToEnriched { - #[input] - answer: String, - - #[output] - enriched: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct EnrichedToFinal { - #[input] - enriched: String, - - #[output] - final_answer: String, -} - -struct EchoDynModule { - schema: SignatureSchema, -} - -static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); - -fn response_with_fields(fields: &[(&str, &str)]) -> String { - let mut response = String::new(); - for (name, value) in fields { - response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); - } - response.push_str("[[ ## completed ## ]]\n"); - response -} - -fn text_response(text: impl Into) -> AssistantContent { - AssistantContent::Text(Text { text: text.into() }) -} - -async fn configure_test_lm(client: TestCompletionModel) { - unsafe { - std::env::set_var("OPENAI_API_KEY", "test"); - } - - let lm = dspy_rs::LM::builder() - .model("openai:gpt-4o-mini".to_string()) - .build() - .await - .unwrap() - .with_client(LMClient::Test(client)) - .await - .unwrap(); - - configure(lm, ChatAdapter {}); -} - -fn request_system(request: &CompletionRequest) -> String { - request.preamble.clone().unwrap_or_default() -} - -fn request_user_prompt(request: &CompletionRequest) -> String { - let prompt = request - .chat_history - .iter() - .last() - .expect("completion request should include a prompt message"); - - match prompt { - RigMessage::User { content } => content - .iter() - .find_map(|entry| match entry { - UserContent::Text(text) => Some(text.text.clone()), - _ => None, - }) - .unwrap_or_default(), - other => panic!("expected prompt to be user message, got: {other:?}"), - } -} - -#[async_trait::async_trait] -impl DynModule for EchoDynModule { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { - Vec::new() - } - - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { - Vec::new() - } - - async fn forward( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError> { - let input_field = self - .schema - .input_fields() - .first() - .expect("test schema must have one input field"); - let output_field = self - .schema - .output_fields() - .first() - .expect("test schema must have one output field"); - - let value = self - .schema - .navigate_field(input_field.path(), &input) - .cloned() - .unwrap_or(BamlValue::Null); - - let mut out = IndexMap::new(); - insert_baml_at_path(&mut out, output_field.path(), value); - - Ok(Predicted::new( - BamlValue::Class("EchoOutput".to_string(), out), - CallMetadata::default(), - )) - } -} - -fn node_for(schema: &SignatureSchema) -> Node { - Node { - schema: schema.clone(), - module: Box::new(EchoDynModule { - schema: schema.clone(), - }), - } -} - -#[tokio::test] -async fn program_graph_execute_routes_fields_topologically() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("c", node_for(SignatureSchema::of::())) - .unwrap(); - - graph.connect("a", "answer", "b", "answer").unwrap(); - graph.connect("b", "enriched", "c", "enriched").unwrap(); - - let input = BamlValue::Class( - "QuestionToAnswerInput".to_string(), - IndexMap::from([( - "question".to_string(), - BamlValue::String("smoke-ok".to_string()), - )]), - ); - - let output = graph - .execute(input) - .await - .expect("execution should succeed"); - let output_field = graph - .nodes() - .get("c") - .unwrap() - .schema - .output_field_by_rust("final_answer") - .unwrap(); - let final_value = graph - .nodes() - .get("c") - .unwrap() - .schema - .navigate_field(output_field.path(), &output) - .unwrap(); - - assert_eq!(final_value, &BamlValue::String("smoke-ok".to_string())); -} - -#[tokio::test] -async fn program_graph_execute_cycle_errors() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - - graph.connect("a", "answer", "b", "answer").unwrap(); - graph.connect("b", "enriched", "a", "question").unwrap(); - - let input = BamlValue::Class( - "QuestionToAnswerInput".to_string(), - IndexMap::from([("question".to_string(), BamlValue::String("x".to_string()))]), - ); - - let err = graph - .execute(input) - .await - .expect_err("cycle should fail before execution"); - assert!(matches!(err, GraphError::Cycle)); -} - -#[tokio::test] -async fn program_graph_execute_errors_when_graph_has_no_sink() { - let graph = ProgramGraph::new(); - let input = BamlValue::Class("EmptyInput".to_string(), IndexMap::new()); - - let err = graph - .execute(input) - .await - .expect_err("empty graph should not have a sink"); - assert!(matches!(err, GraphError::NoSink)); -} - -#[tokio::test] -async fn program_graph_execute_errors_when_graph_has_multiple_sinks() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - - let input = BamlValue::Class( - "QuestionToAnswerInput".to_string(), - IndexMap::from([( - "question".to_string(), - BamlValue::String("ambiguous".to_string()), - )]), - ); - - let err = graph - .execute(input) - .await - .expect_err("disconnected graph should produce ambiguous sinks"); - assert!(matches!(err, GraphError::AmbiguousSink { .. })); -} - -#[tokio::test] -async fn program_graph_execute_accepts_input_pseudonode_edges() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("input", "question", "a", "question").unwrap(); - - let input = BamlValue::Class( - "QuestionToAnswerInput".to_string(), - IndexMap::from([( - "question".to_string(), - BamlValue::String("via-input".to_string()), - )]), - ); - - let output = graph - .execute(input) - .await - .expect("execution with input pseudo-node should succeed"); - let output_field = graph - .nodes() - .get("a") - .unwrap() - .schema - .output_field_by_rust("answer") - .unwrap(); - let answer = graph - .nodes() - .get("a") - .unwrap() - .schema - .navigate_field(output_field.path(), &output) - .unwrap(); - assert_eq!(answer, &BamlValue::String("via-input".to_string())); -} - -#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] -#[tokio::test] -async fn typed_dynamic_prompt_parity_for_predict_and_chain_of_thought() { - let _lock = SETTINGS_LOCK.lock().await; - - let schema = SignatureSchema::of::(); - let typed_input = QuestionToAnswerInput { - question: "What is 2 + 2?".to_string(), - }; - let dynamic_input = typed_input.to_baml_value(); - - let predict_response = response_with_fields(&[("answer", "4")]); - let typed_predict_client = - TestCompletionModel::new(vec![text_response(predict_response.clone())]); - configure_test_lm(typed_predict_client.clone()).await; - let typed_predict = Predict::::new(); - typed_predict - .call(typed_input.clone()) - .await - .expect("typed predict call should succeed"); - let typed_predict_request = typed_predict_client - .last_request() - .expect("typed predict request should be captured"); - - let dynamic_predict_client = - TestCompletionModel::new(vec![text_response(predict_response.clone())]); - configure_test_lm(dynamic_predict_client.clone()).await; - let dynamic_predict = registry::create("predict", schema, serde_json::json!({})) - .expect("predict strategy should create"); - dynamic_predict - .forward(dynamic_input.clone()) - .await - .expect("dynamic predict call should succeed"); - let dynamic_predict_request = dynamic_predict_client - .last_request() - .expect("dynamic predict request should be captured"); - - assert_eq!( - request_system(&typed_predict_request), - request_system(&dynamic_predict_request) - ); - assert_eq!( - request_user_prompt(&typed_predict_request), - request_user_prompt(&dynamic_predict_request) - ); - - let cot_response = response_with_fields(&[("reasoning", "step-by-step"), ("answer", "4")]); - let typed_cot_client = TestCompletionModel::new(vec![text_response(cot_response.clone())]); - configure_test_lm(typed_cot_client.clone()).await; - let typed_cot = ChainOfThought::::new(); - typed_cot - .call(typed_input) - .await - .expect("typed chain_of_thought call should succeed"); - let typed_cot_request = typed_cot_client - .last_request() - .expect("typed chain_of_thought request should be captured"); - - let dynamic_cot_client = TestCompletionModel::new(vec![text_response(cot_response)]); - configure_test_lm(dynamic_cot_client.clone()).await; - let dynamic_cot = registry::create("chain_of_thought", schema, serde_json::json!({})) - .expect("chain_of_thought strategy should create"); - dynamic_cot - .forward(dynamic_input) - .await - .expect("dynamic chain_of_thought call should succeed"); - let dynamic_cot_request = dynamic_cot_client - .last_request() - .expect("dynamic chain_of_thought request should be captured"); - - assert_eq!( - request_system(&typed_cot_request), - request_system(&dynamic_cot_request) - ); - assert_eq!( - request_user_prompt(&typed_cot_request), - request_user_prompt(&dynamic_cot_request) - ); -} - -fn insert_baml_at_path( - root: &mut IndexMap, - path: &dspy_rs::FieldPath, - value: BamlValue, -) { - let parts: Vec<_> = path.iter().collect(); - if parts.is_empty() { - return; - } - insert_baml_at_parts(root, &parts, value); -} - -fn insert_baml_at_parts( - root: &mut IndexMap, - parts: &[&'static str], - value: BamlValue, -) { - if parts.len() == 1 { - root.insert(parts[0].to_string(), value); - return; - } - - let entry = root - .entry(parts[0].to_string()) - .or_insert_with(|| BamlValue::Map(IndexMap::new())); - if !matches!(entry, BamlValue::Map(_) | BamlValue::Class(_, _)) { - *entry = BamlValue::Map(IndexMap::new()); - } - let child = match entry { - BamlValue::Map(map) | BamlValue::Class(_, map) => map, - _ => unreachable!(), - }; - - insert_baml_at_parts(child, &parts[1..], value); -} diff --git a/crates/dspy-rs/tests/test_program_graph_mutation.rs b/crates/dspy-rs/tests/test_program_graph_mutation.rs deleted file mode 100644 index 6c45c8e4..00000000 --- a/crates/dspy-rs/tests/test_program_graph_mutation.rs +++ /dev/null @@ -1,689 +0,0 @@ -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ - BamlType, BamlValue, DynModule, DynPredictor, GraphError, LmError, Node, PredictError, - Predicted, ProgramGraph, Signature, SignatureSchema, TypeIR, -}; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QuestionToAnswer { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct AnswerToFinal { - #[input] - answer: String, - - #[output] - final_answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct AnswerPassthrough { - #[input] - answer: String, - - #[output] - answer_out: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct MultiPortPassthrough { - #[input] - answer: String, - - #[input] - aux: String, - - #[output] - answer_out: String, - - #[output] - aux_out: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct CountToFinal { - #[input] - count: i64, - - #[output] - final_answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct OptionalAnswerToFinal { - #[input] - answer: Option, - - #[output] - final_answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QuestionToOptionalAnswer { - #[input] - question: String, - - #[output] - answer: Option, -} - -#[derive(Clone, Debug, PartialEq, Eq)] -#[BamlType] -struct AnswerPayload { - text: String, -} - -#[derive(Clone, Debug, PartialEq, Eq)] -#[BamlType] -struct AlternatePayload { - text: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QuestionToPayload { - #[input] - question: String, - - #[output] - payload: AnswerPayload, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct PayloadToFinal { - #[input] - payload: AnswerPayload, - - #[output] - final_answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct AlternatePayloadToFinal { - #[input] - payload: AlternatePayload, - - #[output] - final_answer: String, -} - -struct NoopDynModule { - schema: SignatureSchema, -} - -#[async_trait::async_trait] -impl DynModule for NoopDynModule { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { - Vec::new() - } - - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { - Vec::new() - } - - async fn forward( - &self, - _input: BamlValue, - ) -> std::result::Result, PredictError> { - Err(PredictError::Lm { - source: LmError::Provider { - provider: "test".to_string(), - message: "noop".to_string(), - source: None, - }, - }) - } -} - -fn node_for(schema: &SignatureSchema) -> Node { - Node { - schema: schema.clone(), - module: Box::new(NoopDynModule { - schema: schema.clone(), - }), - } -} - -fn node_with_stale_schema(actual_schema: &SignatureSchema, stale_schema: &SignatureSchema) -> Node { - Node { - schema: stale_schema.clone(), - module: Box::new(NoopDynModule { - schema: actual_schema.clone(), - }), - } -} - -fn schema_with_input_type( - schema: &'static SignatureSchema, - rust_name: &str, - type_ir: TypeIR, -) -> SignatureSchema { - let mut input_fields = schema.input_fields().to_vec(); - let field = input_fields - .iter_mut() - .find(|field| field.rust_name == rust_name) - .unwrap_or_else(|| panic!("input field `{rust_name}` not found")); - field.type_ir = type_ir; - schema.with_fields(input_fields, schema.output_fields().to_vec()) -} - -fn schema_with_output_type( - schema: &'static SignatureSchema, - rust_name: &str, - type_ir: TypeIR, -) -> SignatureSchema { - let mut output_fields = schema.output_fields().to_vec(); - let field = output_fields - .iter_mut() - .find(|field| field.rust_name == rust_name) - .unwrap_or_else(|| panic!("output field `{rust_name}` not found")); - field.type_ir = type_ir; - schema.with_fields(schema.input_fields().to_vec(), output_fields) -} - -#[test] -fn program_graph_connect_rejects_type_mismatch() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - - let err = graph - .connect("a", "answer", "b", "count") - .expect_err("incompatible edge should be rejected"); - assert!(matches!(err, GraphError::TypeMismatch { .. })); -} - -#[test] -fn program_graph_connect_rejects_duplicate_edges() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - let err = graph - .connect("a", "answer", "b", "answer") - .expect_err("duplicate edges should be rejected"); - assert!(matches!(err, GraphError::DuplicateEdge { .. })); -} - -#[test] -fn program_graph_connect_rejects_empty_input_pseudonode_field() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - - let err = graph - .connect("input", " ", "a", "question") - .expect_err("input pseudo-node field must be non-empty"); - assert!(matches!(err, GraphError::ProjectionMismatch { .. })); -} - -#[test] -fn program_graph_connect_accepts_non_optional_output_into_optional_input() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - - graph - .connect("a", "answer", "b", "answer") - .expect("string should flow into optional string input"); -} - -#[test] -fn program_graph_connect_rejects_optional_output_into_non_optional_input() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - - let err = graph - .connect("a", "answer", "b", "answer") - .expect_err("optional output should not flow into non-optional input"); - assert!(matches!(err, GraphError::TypeMismatch { .. })); -} - -#[test] -fn program_graph_connect_requires_matching_custom_payload_labels() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .connect("a", "payload", "b", "payload") - .expect("matching payload classes should be assignable"); - - graph - .add_node("c", node_for(SignatureSchema::of::())) - .unwrap(); - let err = graph - .connect("a", "payload", "c", "payload") - .expect_err("different payload labels should not be assignable"); - assert!(matches!(err, GraphError::TypeMismatch { .. })); -} - -#[test] -fn program_graph_connect_allows_same_list_types() { - let mut graph = ProgramGraph::new(); - let list_output_schema = schema_with_output_type( - SignatureSchema::of::(), - "answer", - TypeIR::list(TypeIR::string()), - ); - let list_input_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::list(TypeIR::string()), - ); - graph.add_node("a", node_for(&list_output_schema)).unwrap(); - graph.add_node("b", node_for(&list_input_schema)).unwrap(); - - graph - .connect("a", "answer", "b", "answer") - .expect("list should be assignable to list"); -} - -#[test] -fn program_graph_connect_rejects_list_element_mismatch() { - let mut graph = ProgramGraph::new(); - let list_output_schema = schema_with_output_type( - SignatureSchema::of::(), - "answer", - TypeIR::list(TypeIR::string()), - ); - let list_input_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::list(TypeIR::int()), - ); - graph.add_node("a", node_for(&list_output_schema)).unwrap(); - graph.add_node("b", node_for(&list_input_schema)).unwrap(); - - let err = graph - .connect("a", "answer", "b", "answer") - .expect_err("list element mismatch should be rejected"); - assert!(matches!(err, GraphError::TypeMismatch { .. })); -} - -#[test] -fn program_graph_connect_requires_matching_map_key_value_types() { - let mut graph = ProgramGraph::new(); - let map_output_schema = schema_with_output_type( - SignatureSchema::of::(), - "answer", - TypeIR::map(TypeIR::string(), TypeIR::string()), - ); - let map_input_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::map(TypeIR::string(), TypeIR::string()), - ); - graph.add_node("a", node_for(&map_output_schema)).unwrap(); - graph.add_node("b", node_for(&map_input_schema)).unwrap(); - graph - .connect("a", "answer", "b", "answer") - .expect("map should be assignable to map"); - - let mut mismatch_graph = ProgramGraph::new(); - let map_input_mismatch_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::map(TypeIR::string(), TypeIR::int()), - ); - mismatch_graph - .add_node("a", node_for(&map_output_schema)) - .unwrap(); - mismatch_graph - .add_node("b", node_for(&map_input_mismatch_schema)) - .unwrap(); - let err = mismatch_graph - .connect("a", "answer", "b", "answer") - .expect_err("map value-type mismatch should be rejected"); - assert!(matches!(err, GraphError::TypeMismatch { .. })); -} - -#[test] -fn program_graph_connect_rejects_tuple_length_or_type_mismatch() { - let mut graph = ProgramGraph::new(); - let tuple_output_schema = schema_with_output_type( - SignatureSchema::of::(), - "answer", - TypeIR::tuple(vec![TypeIR::string(), TypeIR::int()]), - ); - let tuple_input_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::tuple(vec![TypeIR::string(), TypeIR::int()]), - ); - graph.add_node("a", node_for(&tuple_output_schema)).unwrap(); - graph.add_node("b", node_for(&tuple_input_schema)).unwrap(); - graph - .connect("a", "answer", "b", "answer") - .expect("matching tuple arity and element types should connect"); - - let mut tuple_type_graph = ProgramGraph::new(); - let tuple_type_mismatch_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::tuple(vec![TypeIR::string(), TypeIR::string()]), - ); - tuple_type_graph - .add_node("a", node_for(&tuple_output_schema)) - .unwrap(); - tuple_type_graph - .add_node("b", node_for(&tuple_type_mismatch_schema)) - .unwrap(); - let type_err = tuple_type_graph - .connect("a", "answer", "b", "answer") - .expect_err("tuple element mismatch should be rejected"); - assert!(matches!(type_err, GraphError::TypeMismatch { .. })); - - let mut tuple_len_graph = ProgramGraph::new(); - let tuple_len_mismatch_schema = schema_with_input_type( - SignatureSchema::of::(), - "answer", - TypeIR::tuple(vec![TypeIR::string(), TypeIR::int(), TypeIR::bool()]), - ); - tuple_len_graph - .add_node("a", node_for(&tuple_output_schema)) - .unwrap(); - tuple_len_graph - .add_node("b", node_for(&tuple_len_mismatch_schema)) - .unwrap(); - let len_err = tuple_len_graph - .connect("a", "answer", "b", "answer") - .expect_err("tuple length mismatch should be rejected"); - assert!(matches!(len_err, GraphError::TypeMismatch { .. })); -} - -#[test] -fn program_graph_replace_node_revalidates_incident_edges() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - let err = graph - .replace_node("b", node_for(SignatureSchema::of::())) - .expect_err("replacement should fail when existing edges become invalid"); - assert!(matches!( - err, - GraphError::TypeMismatch { .. } | GraphError::MissingField { .. } - )); - - let b_node = graph.nodes().get("b").expect("original node should remain"); - assert!( - b_node.schema.input_field_by_rust("answer").is_some(), - "failed replacement must keep original node" - ); - assert_eq!(graph.edges().len(), 1); -} - -#[test] -fn program_graph_remove_node_drops_incident_edges() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - let removed = graph.remove_node("b").expect("existing node should remove"); - assert!(removed.schema.input_field_by_rust("answer").is_some()); - assert!(graph.nodes().contains_key("a")); - assert!(!graph.nodes().contains_key("b")); - assert!( - graph.edges().is_empty(), - "removing a node should prune all incident edges" - ); -} - -#[test] -fn program_graph_remove_node_errors_for_unknown_node() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - - let err = graph - .remove_node("missing") - .expect_err("missing nodes should return GraphError::MissingNode"); - assert!(matches!(err, GraphError::MissingNode { .. })); -} - -#[test] -fn program_graph_insert_between_rewires_edge_and_preserves_validity() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - graph - .insert_between( - "a", - "b", - "middle", - node_for(SignatureSchema::of::()), - "answer", - "answer", - ) - .unwrap(); - - assert_eq!(graph.edges().len(), 2); - assert!( - graph - .edges() - .iter() - .any(|edge| edge.from_node == "a" && edge.to_node == "middle") - ); - assert!( - graph - .edges() - .iter() - .any(|edge| edge.from_node == "middle" && edge.to_node == "b") - ); - assert!( - graph - .edges() - .iter() - .all(|edge| !(edge.from_node == "a" && edge.to_node == "b")) - ); -} - -#[test] -fn program_graph_insert_between_uses_module_schema_not_stale_node_schema() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - graph - .insert_between( - "a", - "b", - "middle", - node_with_stale_schema( - SignatureSchema::of::(), - SignatureSchema::of::(), - ), - "answer", - "answer", - ) - .expect("insert_between should validate against the module's live schema"); - - assert_eq!(graph.edges().len(), 2); - assert!( - graph - .edges() - .iter() - .any(|edge| edge.from_node == "a" && edge.to_node == "middle") - ); - assert!( - graph - .edges() - .iter() - .any(|edge| edge.from_node == "middle" && edge.to_node == "b") - ); -} - -#[test] -fn program_graph_insert_between_missing_fields_is_atomic() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - let passthrough = SignatureSchema::of::(); - let missing_input_schema = - passthrough.with_fields(Vec::new(), passthrough.output_fields().to_vec()); - let err = graph - .insert_between( - "a", - "b", - "bad_middle", - node_for(&missing_input_schema), - "answer", - "answer", - ) - .expect_err("insert_between should fail when inserted node has no input"); - assert!(matches!(err, GraphError::ProjectionMismatch { .. })); - - assert!( - graph.nodes().contains_key("a") && graph.nodes().contains_key("b"), - "original nodes should remain" - ); - assert!( - !graph.nodes().contains_key("bad_middle"), - "failed insert must not leave inserted node behind" - ); - assert_eq!(graph.edges().len(), 1); - assert!( - graph - .edges() - .iter() - .any(|edge| edge.from_node == "a" && edge.to_node == "b") - ); -} - -#[test] -fn program_graph_rejects_reserved_input_node_name() { - let mut graph = ProgramGraph::new(); - let err = graph - .add_node("input", node_for(SignatureSchema::of::())) - .expect_err("`input` is reserved for pseudo-node wiring"); - assert!(matches!(err, GraphError::ReservedNodeName { .. })); -} - -#[test] -fn program_graph_insert_between_requires_single_input_single_output_node() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - let err = graph - .insert_between( - "a", - "b", - "multi", - node_for(SignatureSchema::of::()), - "answer", - "answer", - ) - .expect_err("insert_between should reject multi-port nodes"); - assert!(matches!(err, GraphError::ProjectionMismatch { .. })); - - assert!(graph.nodes().contains_key("a")); - assert!(graph.nodes().contains_key("b")); - assert!(!graph.nodes().contains_key("multi")); - assert!( - graph - .edges() - .iter() - .any(|edge| edge.from_node == "a" && edge.to_node == "b"), - "failed insertion should leave original edge untouched" - ); -} - -#[test] -fn program_graph_insert_between_rejects_reserved_inserted_node_name() { - let mut graph = ProgramGraph::new(); - graph - .add_node("a", node_for(SignatureSchema::of::())) - .unwrap(); - graph - .add_node("b", node_for(SignatureSchema::of::())) - .unwrap(); - graph.connect("a", "answer", "b", "answer").unwrap(); - - let err = graph - .insert_between( - "a", - "b", - "input", - node_for(SignatureSchema::of::()), - "answer", - "answer", - ) - .expect_err("`input` is reserved for pseudo-node wiring"); - assert!(matches!(err, GraphError::ReservedNodeName { .. })); -} diff --git a/crates/dspy-rs/tests/test_program_graph_projection_fit.rs b/crates/dspy-rs/tests/test_program_graph_projection_fit.rs deleted file mode 100644 index 756534fa..00000000 --- a/crates/dspy-rs/tests/test_program_graph_projection_fit.rs +++ /dev/null @@ -1,195 +0,0 @@ -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ - BamlValue, DynModule, DynPredictor, GraphError, LmError, Node, Predict, PredictError, - Predicted, ProgramGraph, Signature, SignatureSchema, named_parameters_ref, -}; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct Wrapper { - predictor: Predict, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct PairWrapper { - left: Predict, - right: Predict, -} - -struct MultiLeafDynModule { - schema: SignatureSchema, - first: Predict, - second: Predict, -} - -impl MultiLeafDynModule { - fn new() -> Self { - Self { - schema: SignatureSchema::of::().clone(), - first: Predict::::new(), - second: Predict::::new(), - } - } -} - -#[async_trait::async_trait] -impl DynModule for MultiLeafDynModule { - fn schema(&self) -> &SignatureSchema { - &self.schema - } - - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)> { - vec![ - ("first", &self.first as &dyn DynPredictor), - ("second", &self.second as &dyn DynPredictor), - ] - } - - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)> { - vec![ - ("first", &mut self.first as &mut dyn DynPredictor), - ("second", &mut self.second as &mut dyn DynPredictor), - ] - } - - async fn forward( - &self, - _input: BamlValue, - ) -> std::result::Result, PredictError> { - Err(PredictError::Lm { - source: LmError::Provider { - provider: "test".to_string(), - message: "unused".to_string(), - source: None, - }, - }) - } -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct ProduceAnswer { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct ConsumeAnswer { - #[input] - answer: String, - - #[output] - final_answer: String, -} - -#[test] -fn from_module_snapshot_then_fit_roundtrip() { - let mut typed = Wrapper { - predictor: Predict::::new(), - }; - - let before = named_parameters_ref(&typed) - .unwrap() - .into_iter() - .find(|(path, _)| path == "predictor") - .unwrap() - .1 - .instruction(); - - let mut graph = ProgramGraph::from_module(&typed).expect("projection should succeed"); - - { - let node = graph - .nodes_mut() - .get_mut("predictor") - .expect("projected node"); - let mut predictors = node.module.predictors_mut(); - let (_, predictor) = predictors - .iter_mut() - .find(|(name, _)| *name == "predictor") - .expect("dynamic predictor should exist"); - predictor.set_instruction("graph-updated".to_string()); - } - - let after_projection = named_parameters_ref(&typed) - .unwrap() - .into_iter() - .find(|(path, _)| path == "predictor") - .unwrap() - .1 - .instruction(); - assert_eq!(after_projection, before); - - graph - .fit(&mut typed) - .expect("fit should apply projected state"); - - let after_fit = named_parameters_ref(&typed) - .unwrap() - .into_iter() - .find(|(path, _)| path == "predictor") - .unwrap() - .1 - .instruction(); - assert_eq!(after_fit, "graph-updated"); -} - -#[test] -fn fit_errors_when_graph_is_missing_typed_predictor_path() { - let mut typed = PairWrapper { - left: Predict::::new(), - right: Predict::::new(), - }; - - let mut graph = ProgramGraph::from_module(&typed).expect("projection should succeed"); - graph.nodes_mut().shift_remove("right"); - - let err = graph - .fit(&mut typed) - .expect_err("fit should fail when the graph omits a typed predictor path"); - assert!(matches!( - err, - GraphError::ProjectionMismatch { path, .. } if path == "right" - )); -} - -#[test] -fn fit_errors_when_graph_node_exposes_multiple_predictor_leaves() { - let mut typed = Wrapper { - predictor: Predict::::new(), - }; - - let mut graph = ProgramGraph::new(); - graph - .add_node( - "predictor", - Node { - schema: SignatureSchema::of::().clone(), - module: Box::new(MultiLeafDynModule::new()), - }, - ) - .expect("graph node insertion should succeed"); - - let err = graph - .fit(&mut typed) - .expect_err("fit should reject malformed graph nodes"); - assert!(matches!( - err, - GraphError::ProjectionMismatch { path, .. } if path == "predictor" - )); -} diff --git a/crates/dspy-rs/tests/test_registry_dynamic_modules.rs b/crates/dspy-rs/tests/test_registry_dynamic_modules.rs deleted file mode 100644 index 3384fcae..00000000 --- a/crates/dspy-rs/tests/test_registry_dynamic_modules.rs +++ /dev/null @@ -1,140 +0,0 @@ -use std::sync::LazyLock; - -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ - BamlType, ChatAdapter, LM, LMClient, ProgramGraph, Signature, SignatureSchema, StrategyError, - TestCompletionModel, configure, registry, -}; -use rig::completion::AssistantContent; -use rig::message::Text; -use tokio::sync::Mutex; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -static SETTINGS_LOCK: LazyLock> = LazyLock::new(|| Mutex::new(())); - -fn response_with_fields(fields: &[(&str, &str)]) -> String { - let mut response = String::new(); - for (name, value) in fields { - response.push_str(&format!("[[ ## {name} ## ]]\n{value}\n\n")); - } - response.push_str("[[ ## completed ## ]]\n"); - response -} - -fn text_response(text: impl Into) -> AssistantContent { - AssistantContent::Text(Text { text: text.into() }) -} - -#[test] -fn registry_list_contains_predict_chain_of_thought_react() { - let strategies = registry::list(); - assert!(strategies.contains(&"predict")); - assert!(strategies.contains(&"chain_of_thought")); - assert!(strategies.contains(&"react")); -} - -#[test] -fn registry_create_instantiates_builtins() { - let schema = SignatureSchema::of::(); - - let predict = registry::create("predict", schema, serde_json::json!({})) - .expect("predict factory should build"); - assert!(!predict.predictors().is_empty()); - - let cot = registry::create("chain_of_thought", schema, serde_json::json!({})) - .expect("chain_of_thought factory should build"); - assert!(!cot.predictors().is_empty()); - - let react = registry::create("react", schema, serde_json::json!({ "max_steps": 2 })) - .expect("react factory should build"); - let react_predictors = react - .predictors() - .into_iter() - .map(|(name, _)| name) - .collect::>(); - assert_eq!(react_predictors, vec!["action", "extract"]); - - let mut graph = ProgramGraph::new(); - graph - .add_node( - "react_node", - registry::create("react", schema, serde_json::json!({ "max_steps": 1 })) - .expect("react strategy should create"), - ) - .expect("graph should accept registry module directly"); -} - -#[test] -fn registry_create_rejects_invalid_react_config() { - let schema = SignatureSchema::of::(); - let result = registry::create( - "react", - schema, - serde_json::json!({ "max_steps": "invalid" }), - ); - match result { - Ok(_) => panic!("react should reject non-integer max_steps"), - Err(err) => assert!(matches!( - err, - StrategyError::InvalidConfig { strategy, .. } if strategy == "react" - )), - } -} - -#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] -#[tokio::test] -async fn react_factory_runs_action_then_extract_loop() { - let _lock = SETTINGS_LOCK.lock().await; - unsafe { - std::env::set_var("OPENAI_API_KEY", "test"); - } - - let action_response = response_with_fields(&[ - ("thought", "done"), - ("action", "finish"), - ("action_input", "ready"), - ]); - let extract_response = response_with_fields(&[("answer", "4")]); - let client = TestCompletionModel::new(vec![ - text_response(action_response), - text_response(extract_response), - ]); - - let lm = LM::builder() - .model("openai:gpt-4o-mini".to_string()) - .build() - .await - .unwrap() - .with_client(LMClient::Test(client)) - .await - .unwrap(); - configure(lm, ChatAdapter {}); - - let schema = SignatureSchema::of::(); - let react = registry::create("react", schema, serde_json::json!({ "max_steps": 2 })) - .expect("react factory should build"); - let input = QAInput { - question: "2+2?".to_string(), - } - .to_baml_value(); - - let output = react - .forward(input) - .await - .expect("react dynamic module should execute action then extract") - .into_inner(); - let answer_field = schema.output_field_by_rust("answer").unwrap(); - let answer = schema - .navigate_field(answer_field.path(), &output) - .expect("answer field should exist"); - assert_eq!(answer, &dspy_rs::BamlValue::String("4".to_string())); -} diff --git a/docs/plans/modules/phase_4_5_cleanup_kickoff.md b/docs/plans/modules/phase_4_5_cleanup_kickoff.md index 63760c50..87b99e2a 100644 --- a/docs/plans/modules/phase_4_5_cleanup_kickoff.md +++ b/docs/plans/modules/phase_4_5_cleanup_kickoff.md @@ -1,5 +1,13 @@ # Phase 4.5-lite: Prerequisite Cleanup +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + Date: 2026-02-09 Status: Completed (executed 2026-02-10) Revised: 2026-02-09 (descoped from full 4.5 to prerequisites-only) diff --git a/docs/plans/modules/slice_6.md b/docs/plans/modules/slice_6.md index 9a7d6129..ddbf279c 100644 --- a/docs/plans/modules/slice_6.md +++ b/docs/plans/modules/slice_6.md @@ -1,3 +1,11 @@ +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + ### Summary Slice 6 delivers the full V6 dynamic graph path on top of Slice 5: [NEW] `DynModule` + [NEW] strategy registry/factories, [NEW] `ProgramGraph` mutation/validation/execution, and typed-module projection with the locked snapshot-then-fit-back contract: [NEW] immutable `from_module(&module)` built on [NEW] `named_parameters_ref`, followed by [NEW] `graph.fit(&mut module)` for mutable write-back. This explicitly resolves the current API tension between existing mutable discovery (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72`) and design-time immutable projection, while keeping C8 locked to annotation-first edge derivation (no trace-inferred wiring in this slice). The implementation path stays shortest-correct: reuse the existing accessor bridge where possible, and record all spec-divergent shortcuts as migration debt. diff --git a/docs/plans/modules/slice_6_refinery.md b/docs/plans/modules/slice_6_refinery.md index 9da7b6dd..93ce8e2c 100644 --- a/docs/plans/modules/slice_6_refinery.md +++ b/docs/plans/modules/slice_6_refinery.md @@ -1,5 +1,13 @@ # Slice 6 Plan Refinery (Ground-Truth Check) +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + Verified against: - `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (including V6) - `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md` diff --git a/docs/plans/modules/slice_6_research.md b/docs/plans/modules/slice_6_research.md index 13430628..b38dcbc0 100644 --- a/docs/plans/modules/slice_6_research.md +++ b/docs/plans/modules/slice_6_research.md @@ -1,3 +1,11 @@ +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + ### Spec Requirements - U38: Implement `registry::create(name, &schema, config)` to return `Box`. - U39: Implement `registry::list()` to return registered strategy names. diff --git a/docs/plans/modules/slice_6_review.md b/docs/plans/modules/slice_6_review.md index ec7a24b9..80817a4b 100644 --- a/docs/plans/modules/slice_6_review.md +++ b/docs/plans/modules/slice_6_review.md @@ -1,3 +1,11 @@ +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + ### Findings #### Finding 1 diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md index a466e609..8640b78a 100644 --- a/docs/plans/modules/slices_closure_audit.md +++ b/docs/plans/modules/slices_closure_audit.md @@ -1,5 +1,13 @@ # Slices 1-6 Closure Audit +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + Date: 2026-02-10 Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4`, `V5`, `V6` from `docs/specs/modules/breadboard.md`. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index cc434910..65d24450 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,5 +1,13 @@ # Implementation Tracker +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + > Historical note: entries in this file are an execution log. Older entries may reference removed APIs and are kept as archival context. ## Current State diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index 13503487..a44ecd30 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -1,5 +1,13 @@ # DSRs Module System — Breadboard +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + > Shape F: Facet-native typed modules with dynamic graph escape hatch > Parts: F1–F12 (see [shapes.md](./shapes.md)) > Procedure: Designing from Shaped Parts (breadboarding skill) diff --git a/docs/specs/modules/calling_convention_revision.md b/docs/specs/modules/calling_convention_revision.md index de265419..1378e240 100644 --- a/docs/specs/modules/calling_convention_revision.md +++ b/docs/specs/modules/calling_convention_revision.md @@ -1,5 +1,13 @@ # Calling Convention Revision: `CallOutcome` -> `Result, PredictError>` +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + Date: 2026-02-09 Status: Approved and integrated (spec updates applied 2026-02-10) Scope: Spec-only changes across `breadboard.md`, `design_reference.md`, `shapes.md` diff --git a/docs/specs/modules/design_reference.md b/docs/specs/modules/design_reference.md index c37359c3..de79ce8f 100644 --- a/docs/specs/modules/design_reference.md +++ b/docs/specs/modules/design_reference.md @@ -1,5 +1,13 @@ # DSRs Module System — Technical Design Reference +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + > Companion to the Shaping Document. The shaping doc says **what** we want (R's) and **what parts** we need (F's). This document captures **how each part works**: the concrete types, traits, data flow, code sketches, and design decisions from the shaping process. --- diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index abda8600..b08c0a3f 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -1,5 +1,13 @@ # DSRs Module System — Shaping Document +## Current Scope Addendum (2026-02-11) + +V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. + +Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. + +All content below is preserved as a historical implementation record. + **Selected shape:** F (Facet-native typed modules with dynamic graph escape hatch) --- From eecfa9ef54ecec3422a40faf86bb1fa99d686a52 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Wed, 11 Feb 2026 15:40:24 -0800 Subject: [PATCH 20/22] typed optimizer cutover: signature-anchored public API --- README.md | 12 +- crates/dspy-rs/examples/01-simple.rs | 17 +- .../02-module-iteration-and-updation.rs | 116 +++++----- .../dspy-rs/examples/03-evaluate-hotpotqa.rs | 42 +++- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 51 +++-- .../examples/05-heterogenous-examples.rs | 14 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 57 ++--- crates/dspy-rs/examples/09-gepa-sentiment.rs | 31 +-- crates/dspy-rs/examples/10-gepa-llm-judge.rs | 37 ++- crates/dspy-rs/examples/12-tracing.rs | 7 +- crates/dspy-rs/examples/17-pretty-tracing.rs | 5 +- .../94-smoke-slice5-optimizer-interface.rs | 55 +++-- crates/dspy-rs/src/adapter/chat.rs | 101 +++++++- crates/dspy-rs/src/adapter/mod.rs | 13 ++ crates/dspy-rs/src/core/dyn_predictor.rs | 25 +- crates/dspy-rs/src/core/lm/mod.rs | 4 +- crates/dspy-rs/src/core/mod.rs | 21 +- crates/dspy-rs/src/core/schema.rs | 4 +- crates/dspy-rs/src/data/dataloader.rs | 151 ++++++++++-- crates/dspy-rs/src/data/mod.rs | 18 ++ crates/dspy-rs/src/data/utils.rs | 31 ++- crates/dspy-rs/src/evaluate/evaluator.rs | 125 ++++++---- crates/dspy-rs/src/evaluate/feedback.rs | 49 +++- crates/dspy-rs/src/evaluate/mod.rs | 14 ++ crates/dspy-rs/src/lib.rs | 96 +++++++- .../dspy-rs/src/modules/chain_of_thought.rs | 26 ++- crates/dspy-rs/src/optimizer/copro.rs | 69 +++++- crates/dspy-rs/src/optimizer/gepa.rs | 208 ++++++++++++++--- crates/dspy-rs/src/optimizer/mipro.rs | 215 +++++++++++------- crates/dspy-rs/src/optimizer/mod.rs | 87 ++++++- crates/dspy-rs/src/optimizer/pareto.rs | 73 +++--- crates/dspy-rs/src/predictors/predict.rs | 166 +++++++++++--- crates/dspy-rs/src/trace/context.rs | 21 +- crates/dspy-rs/src/trace/dag.rs | 45 +++- crates/dspy-rs/src/trace/executor.rs | 63 ++--- crates/dspy-rs/src/trace/mod.rs | 15 ++ crates/dspy-rs/src/utils/cache.rs | 26 ++- crates/dspy-rs/src/utils/mod.rs | 9 + .../tests/test_chain_of_thought_swap.rs | 19 +- .../tests/test_evaluate_trainset_typed.rs | 113 +++++++++ .../dspy-rs/tests/test_flatten_roundtrip.rs | 4 +- .../tests/test_gepa_typed_metric_feedback.rs | 205 +++++++++-------- crates/dspy-rs/tests/test_lm.rs | 15 +- crates/dspy-rs/tests/test_miprov2.rs | 64 ++---- .../dspy-rs/tests/test_module_facet_shapes.rs | 2 +- crates/dspy-rs/tests/test_named_parameters.rs | 182 --------------- .../tests/test_named_parameters_containers.rs | 195 ---------------- ..._optimizer_named_parameters_integration.rs | 54 +++-- .../tests/test_optimizer_typed_metric.rs | 121 +++++----- crates/dspy-rs/tests/test_predictors.rs | 92 -------- .../tests/test_public_api_compile_fail.rs | 126 ++++++++++ crates/dspy-rs/tests/test_signature_schema.rs | 16 +- docs/docs/optimizers/copro.mdx | 28 ++- docs/docs/optimizers/gepa-llm-judge.mdx | 26 +-- docs/docs/optimizers/gepa.mdx | 30 ++- docs/docs/optimizers/miprov2.mdx | 6 +- docs/plans/modules/tracker.md | 4 +- docs/specs/modules/breadboard.md | 4 +- docs/specs/modules/design_reference.md | 6 +- .../01_module_system.md | 13 ++ .../06_optimizers.md | 13 ++ .../07_rust_implications.md | 40 ++-- docs/specs/modules/shapes.md | 4 +- 63 files changed, 2139 insertions(+), 1362 deletions(-) create mode 100644 crates/dspy-rs/tests/test_evaluate_trainset_typed.rs delete mode 100644 crates/dspy-rs/tests/test_named_parameters.rs delete mode 100644 crates/dspy-rs/tests/test_named_parameters_containers.rs delete mode 100644 crates/dspy-rs/tests/test_predictors.rs create mode 100644 crates/dspy-rs/tests/test_public_api_compile_fail.rs diff --git a/README.md b/README.md index 9345cc60..8f25333d 100644 --- a/README.md +++ b/README.md @@ -175,19 +175,13 @@ let lm = LM::builder() ```rust struct ExactMatchMetric; -impl TypedMetric for ExactMatchMetric { +impl TypedMetric for ExactMatchMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { - let expected = example - .data - .get("answer") - .and_then(|v| v.as_str()) - .unwrap_or("") - .trim() - .to_lowercase(); + let expected = example.output.answer.trim().to_lowercase(); let actual = prediction.answer.trim().to_lowercase(); Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } diff --git a/crates/dspy-rs/examples/01-simple.rs b/crates/dspy-rs/examples/01-simple.rs index fc6558b8..7612707e 100644 --- a/crates/dspy-rs/examples/01-simple.rs +++ b/crates/dspy-rs/examples/01-simple.rs @@ -16,9 +16,10 @@ cargo run --example 01-simple use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, ChatAdapter, Demo, Example, LM, LmError, Module, Predict, PredictError, - Predicted, Prediction, configure, init_tracing, + CallMetadata, ChatAdapter, Example, LM, LmError, Module, Predict, PredictError, Predicted, + Prediction, configure, init_tracing, }; +use dspy_rs::data::RawExample; const QA_INSTRUCTION: &str = "Answer the question step by step."; const RATE_INSTRUCTION: &str = "Rate the answer on a scale of 1 (very bad) to 10 (very good)."; @@ -58,10 +59,10 @@ pub struct QARater { } impl Module for QARater { - type Input = Example; + type Input = RawExample; type Output = Prediction; - async fn forward(&self, inputs: Example) -> Result, PredictError> { + async fn forward(&self, inputs: RawExample) -> Result, PredictError> { // Step 1: Convert module input into typed predictor input. let question = match inputs.data.get("question").and_then(|value| value.as_str()) { Some(question) => question.to_string(), @@ -162,8 +163,8 @@ async fn main() -> Result<()> { let qa_rater = QARater::builder().build(); - // Create an Example for Module::forward() - let mut example = Example::default(); + // Create an untyped row for Module::forward() + let mut example = RawExample::default(); example .data .insert("question".into(), "Why is the sky blue?".into()); @@ -182,7 +183,7 @@ async fn main() -> Result<()> { let predict_with_demos = Predict::::builder() .instruction(QA_INSTRUCTION) - .demo(Demo::new( + .demo(Example::new( QAInput { question: "What is 2+2?".to_string(), }, @@ -192,7 +193,7 @@ async fn main() -> Result<()> { answer: "4".to_string(), }, )) - .demo(Demo::new( + .demo(Example::new( QAInput { question: "What color is grass?".to_string(), }, diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index c40a61cd..384c0fef 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -1,5 +1,5 @@ /* -Script to iterate and update the predictors of a module via the typed walker. +Script to optimize a module via the typed optimizer API. Run with: ``` @@ -9,8 +9,11 @@ cargo run --example 02-module-iteration-and-updation use anyhow::Result; use bon::Builder; -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{Predict, Signature, init_tracing, named_parameters}; +use facet; +use dspy_rs::{ + COPRO, ChatAdapter, Example, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, + Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, +}; #[derive(Signature, Clone, Debug)] struct QA { @@ -21,74 +24,77 @@ struct QA { answer: String, } -#[derive(Signature, Clone, Debug)] -struct Rate { - #[input] - question: String, - - #[input] - answer: String, - - #[output] - rating: i8, -} - #[derive(Builder, facet::Facet)] #[facet(crate = facet)] -struct QARater { +struct QAModule { #[builder(default = Predict::::builder().instruction("Answer clearly.").build())] answerer: Predict, - - #[builder(default = Predict::::builder().instruction("Rate from 1 to 10.").build())] - rater: Predict, } -#[derive(Builder, facet::Facet)] -#[facet(crate = facet)] -struct NestedModule { - #[builder(default = QARater::builder().build())] - qa_outer: QARater, +impl Module for QAModule { + type Input = QAInput; + type Output = QAOutput; - #[builder(default = QARater::builder().build())] - qa_inner: QARater, - - #[builder(default = Predict::::builder().instruction("Extra QA predictor.").build())] - extra: Predict, + async fn forward(&self, input: QAInput) -> Result, PredictError> { + self.answerer.call(input).await + } } -fn print_instructions(label: &str, module: &mut T) -> Result<()> -where - T: for<'a> facet::Facet<'a>, -{ - println!("{label}"); - let params = named_parameters(module)?; - for (path, predictor) in params { - println!(" {path} -> {}", predictor.instruction()); +struct ExactMatch; + +impl TypedMetric for ExactMatch { + async fn evaluate(&self, example: &Example, prediction: &Predicted) -> Result { + let expected = example.output.answer.trim().to_lowercase(); + let actual = prediction.answer.trim().to_lowercase(); + Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } - Ok(()) +} + +fn trainset() -> Vec> { + vec![ + Example::new( + QAInput { + question: "What is 2+2?".to_string(), + }, + QAOutput { + answer: "4".to_string(), + }, + ), + Example::new( + QAInput { + question: "Capital of France?".to_string(), + }, + QAOutput { + answer: "Paris".to_string(), + }, + ), + ] } #[tokio::main] async fn main() -> Result<()> { init_tracing()?; - let mut qa_rater = QARater::builder().build(); - { - let mut params = named_parameters(&mut qa_rater)?; - for (path, predictor) in params.iter_mut() { - predictor.set_instruction(format!("Updated instruction for `{path}`")); - } - } - print_instructions("single module", &mut qa_rater)?; - - let mut nested = NestedModule::builder().build(); - { - let mut params = named_parameters(&mut nested)?; - for (path, predictor) in params.iter_mut() { - predictor.set_instruction(format!("Deep updated: `{path}`")); - } - } - print_instructions("nested module", &mut nested)?; + configure( + LM::builder() + .model("openai:gpt-4o-mini".to_string()) + .build() + .await?, + ChatAdapter, + ); + + let metric = ExactMatch; + let mut module = QAModule::builder().build(); + let trainset = trainset(); + + let baseline = average_score(&evaluate_trainset(&module, &trainset, &metric).await?); + println!("baseline score: {baseline:.3}"); + + let optimizer = COPRO::builder().breadth(4).depth(1).build(); + optimizer.compile(&mut module, trainset.clone(), &metric).await?; + + let optimized = average_score(&evaluate_trainset(&module, &trainset, &metric).await?); + println!("optimized score: {optimized:.3}"); Ok(()) } diff --git a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs index ef88c8f7..28f6d6c4 100644 --- a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs +++ b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs @@ -9,9 +9,10 @@ cargo run --example 03-evaluate-hotpotqa --features dataloaders use anyhow::Result; use dspy_rs::{ - ChatAdapter, DataLoader, Example, LM, MetricOutcome, Predict, Predicted, Signature, - TypedMetric, average_score, configure, evaluate_trainset, init_tracing, + ChatAdapter, DataLoader, Example, LM, MetricOutcome, Predict, Predicted, Signature, TypedMetric, + average_score, configure, evaluate_trainset, init_tracing, }; +use dspy_rs::data::RawExample; #[derive(Signature, Clone, Debug)] struct QA { @@ -26,25 +27,41 @@ struct QA { struct ExactMatchMetric; -impl TypedMetric> for ExactMatchMetric { +impl TypedMetric> for ExactMatchMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { - let expected = example - .data - .get("answer") - .and_then(|value| value.as_str()) - .unwrap_or("") - .trim() - .to_lowercase(); + let expected = example.output.answer.trim().to_lowercase(); let actual = prediction.answer.trim().to_lowercase(); Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } } +fn typed_hotpot_examples(raw_examples: Vec) -> Vec> { + raw_examples + .into_iter() + .filter_map(|example| { + let question = example + .data + .get("question") + .and_then(|value| value.as_str())? + .to_string(); + let answer = example + .data + .get("answer") + .and_then(|value| value.as_str())? + .to_string(); + Some(Example::new( + QAInput { question }, + QAOutput { answer }, + )) + }) + .collect() +} + #[tokio::main] async fn main() -> Result<()> { init_tracing()?; @@ -57,7 +74,7 @@ async fn main() -> Result<()> { ChatAdapter, ); - let examples = DataLoader::load_hf( + let raw_examples = DataLoader::load_hf( "hotpotqa/hotpot_qa", vec!["question".to_string()], vec!["answer".to_string()], @@ -66,6 +83,7 @@ async fn main() -> Result<()> { true, )?[..64] .to_vec(); + let examples = typed_hotpot_examples(raw_examples); let module = Predict::::builder() .instruction("Answer with a short, factual response.") diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index 0c3c038e..9e10fac4 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -9,12 +9,13 @@ cargo run --example 04-optimize-hotpotqa --features dataloaders use anyhow::Result; use bon::Builder; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ COPRO, ChatAdapter, DataLoader, Example, LM, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, - init_tracing, named_parameters, + PredictError, Predicted, Signature, TypedMetric, average_score, configure, + evaluate_trainset, init_tracing, }; +use dspy_rs::data::RawExample; #[derive(Signature, Clone, Debug)] struct QA { @@ -45,31 +46,38 @@ impl Module for QAModule { struct ExactMatchMetric; -impl TypedMetric for ExactMatchMetric { +impl TypedMetric for ExactMatchMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { - let expected = example - .data - .get("answer") - .and_then(|value| value.as_str()) - .unwrap_or("") - .trim() - .to_lowercase(); + let expected = example.output.answer.trim().to_lowercase(); let actual = prediction.answer.trim().to_lowercase(); Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } } -fn answerer_instruction(module: &mut QAModule) -> Result { - let params = named_parameters(module)?; - let (_, predictor) = params - .iter() - .find(|(path, _)| path == "answerer") - .ok_or_else(|| anyhow::anyhow!("answerer predictor not found"))?; - Ok(predictor.instruction()) +fn typed_hotpot_examples(raw_examples: Vec) -> Vec> { + raw_examples + .into_iter() + .filter_map(|example| { + let question = example + .data + .get("question") + .and_then(|value| value.as_str())? + .to_string(); + let answer = example + .data + .get("answer") + .and_then(|value| value.as_str())? + .to_string(); + Some(Example::new( + QAInput { question }, + QAOutput { answer }, + )) + }) + .collect() } #[tokio::main] @@ -84,7 +92,7 @@ async fn main() -> Result<()> { ChatAdapter, ); - let examples = DataLoader::load_hf( + let raw_examples = DataLoader::load_hf( "hotpotqa/hotpot_qa", vec!["question".to_string()], vec!["answer".to_string()], @@ -93,13 +101,13 @@ async fn main() -> Result<()> { true, )?[..10] .to_vec(); + let examples = typed_hotpot_examples(raw_examples); let metric = ExactMatchMetric; let mut module = QAModule::builder().build(); let baseline = average_score(&evaluate_trainset(&module, &examples, &metric).await?); println!("baseline score: {baseline:.3}"); - println!("baseline instruction: {}", answerer_instruction(&mut module)?); let optimizer = COPRO::builder().breadth(10).depth(1).build(); optimizer @@ -108,7 +116,6 @@ async fn main() -> Result<()> { let optimized = average_score(&evaluate_trainset(&module, &examples, &metric).await?); println!("optimized score: {optimized:.3}"); - println!("optimized instruction: {}", answerer_instruction(&mut module)?); Ok(()) } diff --git a/crates/dspy-rs/examples/05-heterogenous-examples.rs b/crates/dspy-rs/examples/05-heterogenous-examples.rs index 56af5cd4..94f769ac 100644 --- a/crates/dspy-rs/examples/05-heterogenous-examples.rs +++ b/crates/dspy-rs/examples/05-heterogenous-examples.rs @@ -8,9 +8,8 @@ cargo run --example 05-heterogenous-examples */ use anyhow::Result; -use dspy_rs::{ - ChatAdapter, Example, LM, Predict, Signature, configure, init_tracing, input_from_example, -}; +use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure, init_tracing}; +use dspy_rs::data::RawExample; use serde_json::json; use std::collections::HashMap; @@ -38,7 +37,7 @@ async fn main() -> Result<()> { ChatAdapter, ); - let heterogeneous = Example::new( + let heterogeneous = RawExample::new( HashMap::from([ ("number".to_string(), json!(10)), ("debug_note".to_string(), json!("metadata not used by the signature")), @@ -48,7 +47,12 @@ async fn main() -> Result<()> { vec![], ); - let input: NumberSignatureInput = input_from_example(&heterogeneous)?; + let number = heterogeneous + .data + .get("number") + .and_then(|value| value.as_i64()) + .ok_or_else(|| anyhow::anyhow!("missing integer `number` field"))? as i32; + let input = NumberSignatureInput { number }; let predictor = Predict::::new(); let prediction = predictor.call(input).await?.into_inner(); diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index ffedc2d3..e5fa4059 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -9,12 +9,13 @@ cargo run --example 08-optimize-mipro --features dataloaders use anyhow::Result; use bon::Builder; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ ChatAdapter, DataLoader, Example, LM, MIPROv2, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, - init_tracing, named_parameters, + PredictError, Predicted, Signature, TypedMetric, average_score, configure, + evaluate_trainset, init_tracing, }; +use dspy_rs::data::RawExample; #[derive(Signature, Clone, Debug)] struct QuestionAnswering { @@ -48,19 +49,13 @@ impl Module for SimpleQA { struct ExactMatchMetric; -impl TypedMetric for ExactMatchMetric { +impl TypedMetric for ExactMatchMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { - let expected = example - .data - .get("answer") - .and_then(|value| value.as_str()) - .unwrap_or("") - .trim() - .to_lowercase(); + let expected = example.output.answer.trim().to_lowercase(); let actual = prediction.answer.trim().to_lowercase(); let score = if expected == actual { @@ -75,13 +70,26 @@ impl TypedMetric for ExactMatchMetric { } } -fn answerer_instruction(module: &mut SimpleQA) -> Result { - let params = named_parameters(module)?; - let (_, predictor) = params - .iter() - .find(|(path, _)| path == "answerer") - .ok_or_else(|| anyhow::anyhow!("answerer predictor not found"))?; - Ok(predictor.instruction()) +fn typed_hotpot_examples(raw_examples: Vec) -> Vec> { + raw_examples + .into_iter() + .filter_map(|example| { + let question = example + .data + .get("question") + .and_then(|value| value.as_str())? + .to_string(); + let answer = example + .data + .get("answer") + .and_then(|value| value.as_str())? + .to_string(); + Some(Example::new( + QuestionAnsweringInput { question }, + QuestionAnsweringOutput { answer }, + )) + }) + .collect() } #[tokio::main] @@ -93,7 +101,7 @@ async fn main() -> Result<()> { configure(LM::default(), ChatAdapter); println!("Loading training data from HuggingFace..."); - let train_examples = DataLoader::load_hf( + let raw_train_examples = DataLoader::load_hf( "hotpotqa/hotpot_qa", vec!["question".to_string()], vec!["answer".to_string()], @@ -101,6 +109,7 @@ async fn main() -> Result<()> { "validation", true, )?; + let train_examples = typed_hotpot_examples(raw_train_examples); let train_subset = train_examples[..15].to_vec(); println!("Using {} training examples\n", train_subset.len()); @@ -108,9 +117,6 @@ async fn main() -> Result<()> { let metric = ExactMatchMetric; let mut qa_module = SimpleQA::builder().build(); - println!("Initial instruction:"); - println!(" \"{}\"\n", answerer_instruction(&mut qa_module)?); - println!("Evaluating baseline performance..."); let baseline_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); println!("Baseline score: {:.3}\n", baseline_score); @@ -119,8 +125,6 @@ async fn main() -> Result<()> { .num_candidates(8) .num_trials(15) .minibatch_size(10) - .temperature(1.0) - .track_stats(true) .build(); println!("Starting MIPROv2 optimization..."); @@ -128,9 +132,6 @@ async fn main() -> Result<()> { .compile(&mut qa_module, train_subset.clone(), &metric) .await?; - println!("\nOptimized instruction:"); - println!(" \"{}\"\n", answerer_instruction(&mut qa_module)?); - println!("Evaluating optimized performance..."); let optimized_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); println!("Optimized score: {:.3}", optimized_score); diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index 10b83f29..634e5be6 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -9,14 +9,12 @@ OPENAI_API_KEY=your_key cargo run --example 09-gepa-sentiment use anyhow::Result; use bon::Builder; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ ChatAdapter, Example, FeedbackMetric, GEPA, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, }; -use serde_json::json; -use std::collections::HashMap; #[derive(Signature, Clone, Debug)] struct SentimentSignature { @@ -53,20 +51,14 @@ impl Module for SentimentAnalyzer { struct SentimentMetric; -impl TypedMetric for SentimentMetric { +impl TypedMetric for SentimentMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { let predicted = prediction.sentiment.trim().to_lowercase(); - let expected = example - .data - .get("expected_sentiment") - .and_then(|value| value.as_str()) - .unwrap_or("") - .trim() - .to_lowercase(); + let expected = example.output.sentiment.trim().to_lowercase(); let score = (predicted == expected) as u8 as f32; let feedback = FeedbackMetric::new( @@ -81,14 +73,15 @@ impl TypedMetric for SentimentMetric { } } -fn sentiment_example(text: &str, expected: &str) -> Example { +fn sentiment_example(text: &str, expected: &str) -> Example { Example::new( - HashMap::from([ - ("text".to_string(), json!(text)), - ("expected_sentiment".to_string(), json!(expected)), - ]), - vec!["text".to_string()], - vec![], + SentimentSignatureInput { + text: text.to_string(), + }, + SentimentSignatureOutput { + sentiment: expected.to_string(), + reasoning: String::new(), + }, ) } diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index b9d3a9d4..e2ff28f3 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -9,14 +9,12 @@ OPENAI_API_KEY=your_key cargo run --example 10-gepa-llm-judge use anyhow::Result; use bon::Builder; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ ChatAdapter, Example, FeedbackMetric, GEPA, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, }; -use serde_json::json; -use std::collections::HashMap; #[derive(Signature, Clone, Debug)] struct MathWordProblem { @@ -75,24 +73,14 @@ struct LlmJudgeMetric { judge: Predict, } -impl TypedMetric for LlmJudgeMetric { +impl TypedMetric for LlmJudgeMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { - let problem = example - .data - .get("problem") - .and_then(|value| value.as_str()) - .unwrap_or("") - .to_string(); - let expected = example - .data - .get("expected_answer") - .and_then(|value| value.as_str()) - .unwrap_or("") - .to_string(); + let problem = example.input.problem.clone(); + let expected = example.output.answer.clone(); let student_answer = prediction.answer.clone(); let student_reasoning = prediction.reasoning.clone(); @@ -147,14 +135,15 @@ impl TypedMetric for LlmJudgeMetric { } } -fn training_example(problem: &str, expected_answer: &str) -> Example { +fn training_example(problem: &str, expected_answer: &str) -> Example { Example::new( - HashMap::from([ - ("problem".to_string(), json!(problem)), - ("expected_answer".to_string(), json!(expected_answer)), - ]), - vec!["problem".to_string()], - vec![], + MathWordProblemInput { + problem: problem.to_string(), + }, + MathWordProblemOutput { + reasoning: String::new(), + answer: expected_answer.to_string(), + }, ) } diff --git a/crates/dspy-rs/examples/12-tracing.rs b/crates/dspy-rs/examples/12-tracing.rs index 09c03fe1..132f5a36 100644 --- a/crates/dspy-rs/examples/12-tracing.rs +++ b/crates/dspy-rs/examples/12-tracing.rs @@ -10,10 +10,11 @@ cargo run --example 12-tracing use anyhow::Result; use bon::Builder; use dspy_rs::{ - CallMetadata, ChatAdapter, Example, LM, LmUsage, Module, Predict, PredictError, Predicted, - Prediction, Signature, configure, init_tracing, + CallMetadata, ChatAdapter, LM, LmUsage, Module, Predict, PredictError, Predicted, Prediction, + Signature, configure, init_tracing, trace::{self, Executor}, }; +use dspy_rs::data::RawExample; use serde_json::json; use std::collections::HashMap; @@ -119,7 +120,7 @@ async fn main() -> Result<()> { println!("\nExecuting graph replay..."); let executor = Executor::new(graph); - let replay_input = Example::new( + let replay_input = RawExample::new( HashMap::from([( "question".to_string(), json!("What is the capital of Germany?"), diff --git a/crates/dspy-rs/examples/17-pretty-tracing.rs b/crates/dspy-rs/examples/17-pretty-tracing.rs index c8bc8df0..796d82af 100644 --- a/crates/dspy-rs/examples/17-pretty-tracing.rs +++ b/crates/dspy-rs/examples/17-pretty-tracing.rs @@ -1,5 +1,6 @@ use anyhow::Result; -use dspy_rs::{Chat, DummyLM, Example, Message, hashmap, init_tracing}; +use dspy_rs::{Chat, DummyLM, Message, hashmap, init_tracing}; +use dspy_rs::data::RawExample; #[tokio::main] async fn main() -> Result<()> { @@ -7,7 +8,7 @@ async fn main() -> Result<()> { init_tracing()?; let lm = DummyLM::new().await; - let example = Example::new( + let example = RawExample::new( hashmap! { "problem".to_string() => "What is 2 + 2?".to_string().into(), }, diff --git a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs index fc166af1..2c410599 100644 --- a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs +++ b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs @@ -1,7 +1,8 @@ use anyhow::{Result, bail}; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ - ChainOfThought, ChatAdapter, LM, PredictError, Signature, configure, named_parameters, + COPRO, ChainOfThought, ChatAdapter, Example, LM, Optimizer, Signature, TypedMetric, + MetricOutcome, Predicted, WithReasoning, configure, }; #[derive(Signature, Clone, Debug, facet::Facet)] @@ -14,6 +15,19 @@ struct SmokeSig { answer: String, } +struct SmokeMetric; + +impl TypedMetric> for SmokeMetric { + async fn evaluate( + &self, + _example: &Example, + prediction: &Predicted>, + ) -> Result { + let answer = prediction.answer.to_ascii_lowercase(); + Ok(MetricOutcome::score((answer.contains("smoke") || answer.contains("ok")) as u8 as f32)) + } +} + #[tokio::main] async fn main() -> Result<()> { // Smoke Label: Slice 5 Optimizer Interface @@ -26,37 +40,32 @@ async fn main() -> Result<()> { ); let mut module = ChainOfThought::::new(); - { - let mut params = named_parameters(&mut module)?; - let paths: Vec = params.iter().map(|(path, _)| path.clone()).collect(); - println!("named_parameters: {:?}", paths); - - let (_, predictor) = params - .iter_mut() - .find(|(path, _)| path == "predictor") - .ok_or_else(|| anyhow::anyhow!("expected `predictor` path"))?; - predictor.set_instruction("Reply with exactly: smoke-ok".to_string()); - } + let trainset = vec![Example::new( + SmokeSigInput { + prompt: "Return exactly smoke-ok.".to_string(), + }, + SmokeSigOutput { + answer: "smoke-ok".to_string(), + }, + )]; + + let optimizer = COPRO::builder().breadth(4).depth(1).build(); + optimizer + .compile(&mut module, trainset, &SmokeMetric) + .await?; let output = module .call(SmokeSigInput { prompt: "Return exactly smoke-ok.".to_string(), }) - .await - .map_err(|err| { - eprintln!("slice5 smoke call failed: {err}"); - if let PredictError::Parse { raw_response, .. } = &err { - eprintln!("raw_response: {:?}", raw_response); - } - anyhow::anyhow!("slice5 smoke failed") - })? + .await? .into_inner(); println!("reasoning: {}", output.reasoning); println!("answer: {}", output.answer); - if !output.answer.to_ascii_lowercase().contains("smoke-ok") { - bail!("unexpected answer content: {}", output.answer); + if output.answer.trim().is_empty() { + bail!("unexpected empty answer"); } Ok(()) diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index 92929c4b..a29b3353 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -16,6 +16,18 @@ use crate::{ TypeIR, }; +/// Builds prompts and parses responses using the `[[ ## field ## ]]` delimiter protocol. +/// +/// The adapter is stateless — all state comes from the [`SignatureSchema`](crate::SignatureSchema) +/// passed to each method. Two usage patterns: +/// +/// - **High-level** (what [`Predict`](crate::Predict) uses): `format_system_message_typed`, +/// `format_user_message_typed`, `parse_response_typed` — all parameterized by `S: Signature`. +/// - **Building blocks** (for module authors): `build_system`, `format_input`, `format_output`, +/// `parse_output`, `parse_sections` — parameterized by `&SignatureSchema`, not a Signature type. +/// +/// The building blocks exist so module authors can compose custom prompt flows (e.g. +/// ReAct's action/extract loop) without reimplementing the delimiter protocol. #[derive(Default, Clone)] pub struct ChatAdapter; @@ -250,6 +262,9 @@ impl ChatAdapter { self.format_response_instructions_schema(S::schema()) } + /// Builds the system message for a signature using its default instruction. + /// + /// Shorthand for `format_system_message_typed_with_instruction::(None)`. pub fn format_system_message_typed(&self) -> Result { self.format_system_message_typed_with_instruction::(None) } @@ -263,6 +278,13 @@ impl ChatAdapter { instruction_override = instruction_override.is_some() ) )] + /// Builds the system message for a signature with an optional instruction override. + /// + /// The system message includes: + /// 1. Field descriptions (names, types, doc comments) + /// 2. Field structure template (the `[[ ## field ## ]]` layout the LM should follow) + /// 3. Response instructions (which fields to produce, in what order) + /// 4. Task description (the signature's instruction or the override) pub fn format_system_message_typed_with_instruction( &self, instruction_override: Option<&str>, @@ -270,6 +292,15 @@ impl ChatAdapter { self.build_system(S::schema(), instruction_override) } + /// Builds a system message from a [`SignatureSchema`](crate::SignatureSchema) directly. + /// + /// The schema-based equivalent of [`format_system_message_typed_with_instruction`](ChatAdapter::format_system_message_typed_with_instruction). + /// Use this when you have a schema but not a concrete `S: Signature` type (e.g. + /// in dynamic or schema-transformed contexts). + /// + /// # Errors + /// + /// Returns an error if the output format rendering fails (malformed type IR). pub fn build_system( &self, schema: &crate::SignatureSchema, @@ -357,6 +388,11 @@ impl ChatAdapter { self.format_field_structure_schema(S::schema()) } + /// Formats a typed input value as a user message with `[[ ## field ## ]]` delimiters. + /// + /// Each input field is serialized via `BamlType::to_baml_value()` and formatted + /// according to its field path (handling flattened fields). Appends the response + /// instructions telling the LM which output fields to produce. pub fn format_user_message_typed(&self, input: &S::Input) -> String where S::Input: BamlType, @@ -364,6 +400,13 @@ impl ChatAdapter { self.format_input(S::schema(), input) } + /// Formats an input value using a schema — the building-block version of + /// [`format_user_message_typed`](ChatAdapter::format_user_message_typed). + /// + /// Navigates the `BamlValue` using each field's [`FieldPath`](crate::FieldPath) to + /// handle flattened structs correctly. A field with path `["inner", "question"]` is + /// extracted from the nested structure but rendered as a flat `[[ ## question ## ]]` + /// section in the prompt. pub fn format_input(&self, schema: &crate::SignatureSchema, input: &I) -> String where I: BamlType + for<'a> facet::Facet<'a>, @@ -387,6 +430,11 @@ impl ChatAdapter { result } + /// Formats a typed output value as an assistant message for few-shot demos. + /// + /// Each output field is serialized and delimited with `[[ ## field ## ]]` markers, + /// ending with `[[ ## completed ## ]]`. Used internally by [`Predict`](crate::Predict) + /// to format demo assistant messages. pub fn format_assistant_message_typed(&self, output: &S::Output) -> String where S::Output: BamlType, @@ -394,6 +442,8 @@ impl ChatAdapter { self.format_output(S::schema(), output) } + /// Formats an output value using a schema — the building-block version of + /// [`format_assistant_message_typed`](ChatAdapter::format_assistant_message_typed). pub fn format_output(&self, schema: &crate::SignatureSchema, output: &O) -> String where O: BamlType + for<'a> facet::Facet<'a>, @@ -416,9 +466,13 @@ impl ChatAdapter { result } + /// Formats a demo example as a (user_message, assistant_message) pair. + /// + /// Convenience method that calls [`format_user_message_typed`](ChatAdapter::format_user_message_typed) + /// and [`format_assistant_message_typed`](ChatAdapter::format_assistant_message_typed). pub fn format_demo_typed( &self, - demo: &crate::predictors::Demo, + demo: &crate::predictors::Example, ) -> (String, String) where S::Input: BamlType, @@ -439,6 +493,26 @@ impl ChatAdapter { output_field_count = S::schema().output_fields().len() ) )] + /// Parses an LM response into a typed output with per-field metadata. + /// + /// The full parsing pipeline: + /// 1. Split the response into `[[ ## field ## ]]` sections + /// 2. For each output field in the schema, find its section by LM name + /// 3. Coerce the raw text to the field's type via jsonish + /// 4. Run `#[check]` and `#[assert]` constraints + /// 5. Assemble the flat fields into the nested typed output via field paths + /// + /// Returns the typed output and a map of [`FieldMeta`] with + /// per-field raw text, parse flags, and constraint results. + /// + /// # Errors + /// + /// Returns [`ParseError`] variants: + /// - `MissingField` — an output field's `[[ ## field ## ]]` section wasn't found + /// - `CoercionFailed` — jsonish couldn't parse the raw text into the expected type + /// - `AssertFailed` — a `#[assert(...)]` constraint failed + /// - `ExtractionFailed` — the assembled BamlValue couldn't convert to the typed output + /// - `Multiple` — several of the above; includes a partial BamlValue if some fields parsed pub fn parse_response_typed( &self, response: &Message, @@ -447,6 +521,14 @@ impl ChatAdapter { } #[allow(clippy::result_large_err)] + /// Parses an LM response against a schema, returning typed output and field metadata. + /// + /// Schema-based equivalent of [`parse_response_typed`](ChatAdapter::parse_response_typed). + /// Use when you have a schema but not a `S: Signature` type. + /// + /// # Errors + /// + /// Same as [`parse_response_typed`](ChatAdapter::parse_response_typed). pub fn parse_output_with_meta( &self, schema: &crate::SignatureSchema, @@ -617,6 +699,9 @@ impl ChatAdapter { } #[allow(clippy::result_large_err)] + /// Parses an LM response into a typed output, discarding field metadata. + /// + /// Convenience wrapper around [`parse_output_with_meta`](ChatAdapter::parse_output_with_meta). pub fn parse_output( &self, schema: &crate::SignatureSchema, @@ -629,10 +714,24 @@ impl ChatAdapter { Ok(output) } + /// Splits raw LM response text into named sections by `[[ ## field ## ]]` delimiters. + /// + /// Returns an ordered map of field_name → section_content. The `completed` marker + /// is included as a section (usually empty). Duplicate section names keep the first + /// occurrence. Content before the first delimiter is discarded. pub fn parse_sections(content: &str) -> IndexMap { crate::adapter::chat::parse_sections(content) } + /// Parses a raw [`Message`] into a [`Predicted`](crate::Predicted). + /// + /// Convenience wrapper that calls [`parse_response_typed`](ChatAdapter::parse_response_typed) + /// and wraps the result in [`Predicted`] with default metadata + /// (zero usage, no tool calls). Useful for testing or replaying saved responses. + /// + /// # Errors + /// + /// Parse failures are wrapped as [`PredictError::Parse`]. pub fn parse_response_with_schema( &self, response: Message, diff --git a/crates/dspy-rs/src/adapter/mod.rs b/crates/dspy-rs/src/adapter/mod.rs index bcd91db9..5e27576c 100644 --- a/crates/dspy-rs/src/adapter/mod.rs +++ b/crates/dspy-rs/src/adapter/mod.rs @@ -1,3 +1,16 @@ +//! Prompt formatting and LM response parsing. +//! +//! The adapter turns a [`SignatureSchema`](crate::SignatureSchema) into prompts and parses +//! LM responses back into typed values. All prompts use the `[[ ## field_name ## ]]` +//! delimiter protocol — input fields, output fields, and the `[[ ## completed ## ]]` +//! marker that signals the end of the response. +//! +//! Most users never touch this — [`Predict`](crate::Predict) calls the adapter internally. +//! Module authors who need fine-grained control over prompt construction use the +//! building blocks directly: [`build_system`](ChatAdapter::build_system), +//! [`format_input`](ChatAdapter::format_input), +//! [`parse_output`](ChatAdapter::parse_output). + pub mod chat; pub use chat::*; diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index 71bf2e2a..0e3a0892 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -5,7 +5,8 @@ use anyhow::Result; use bamltype::facet_reflect::Peek; use facet::{ConstTypeId, Def, Facet, KnownPointer, Shape, Type, UserType}; -use crate::{Example, SignatureSchema}; +use crate::SignatureSchema; +use crate::data::example::Example as RawExample; /// Type-erased optimizer handle to a [`crate::Predict`] leaf. /// @@ -28,7 +29,7 @@ use crate::{Example, SignatureSchema}; /// Normal users never touch this — you pass your module to `optimizer.compile()` /// and it uses `DynPredictor` internally. /// -pub trait DynPredictor: Send + Sync { +pub(crate) trait DynPredictor: Send + Sync { /// Returns the [`SignatureSchema`] for this predictor's signature. fn schema(&self) -> &SignatureSchema; @@ -39,15 +40,15 @@ pub trait DynPredictor: Send + Sync { fn set_instruction(&mut self, instruction: String); /// Returns current demos as type-erased [`Example`]s. - fn demos_as_examples(&self) -> Vec; + fn demos_as_examples(&self) -> Vec; - /// Sets demos from type-erased [`Example`]s, converting to typed `Demo` internally. + /// Sets demos from type-erased [`Example`]s, converting to typed `Example` internally. /// /// # Errors /// /// Returns an error if any example can't be converted to the predictor's typed - /// `Demo` (schema mismatch). - fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; + /// `Example` (schema mismatch). + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; /// Snapshots the predictor's mutable state (demos + instruction override). fn dump_state(&self) -> PredictState; @@ -66,16 +67,16 @@ pub trait DynPredictor: Send + Sync { /// Used by [`DynPredictor::dump_state`]/[`DynPredictor::load_state`] for /// saving and restoring optimized parameters. #[derive(Clone, Debug, Default)] -pub struct PredictState { +pub(crate) struct PredictState { /// The demos as type-erased examples. - pub demos: Vec, + pub demos: Vec, /// The instruction override, if any. pub instruction_override: Option, } #[derive(Clone, Copy, Debug, facet::Facet)] #[facet(opaque)] -pub struct PredictAccessorFns { +pub(crate) struct PredictAccessorFns { pub accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, } @@ -104,7 +105,7 @@ fn accessor_registry() -> &'static Mutex *mut dyn DynPredictor, ) { @@ -126,7 +127,7 @@ pub fn register_predict_accessor( /// Error from [`named_parameters`] when the Facet walker encounters an unsupported structure. #[derive(Debug, thiserror::Error, PartialEq, Eq)] -pub enum NamedParametersError { +pub(crate) enum NamedParametersError { /// A `Predict` leaf was found inside an unsupported container (`Rc`, `Arc`, etc.). #[error("container `{ty}` at `{path}` contains a parameter leaf")] Container { path: String, ty: &'static str }, @@ -171,7 +172,7 @@ pub enum NamedParametersError { /// } /// ``` #[tracing::instrument(level = "debug", name = "dsrs.named_parameters", skip(module))] -pub fn named_parameters( +pub(crate) fn named_parameters( module: &mut M, ) -> std::result::Result, NamedParametersError> where diff --git a/crates/dspy-rs/src/core/lm/mod.rs b/crates/dspy-rs/src/core/lm/mod.rs index 41e837e7..6d03d807 100644 --- a/crates/dspy-rs/src/core/lm/mod.rs +++ b/crates/dspy-rs/src/core/lm/mod.rs @@ -15,7 +15,7 @@ use tokio::sync::Mutex; use tracing::{Instrument, debug, trace, warn}; use crate::utils::cache::CacheEntry; -use crate::{Cache, Example, Prediction, ResponseCache}; +use crate::{Cache, Prediction, RawExample, ResponseCache}; #[derive(Clone, Debug)] pub struct LMResponse { @@ -597,7 +597,7 @@ impl DummyLM { )] pub async fn call( &self, - example: Example, + example: RawExample, messages: Chat, prediction: String, ) -> Result { diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index 41dd32c9..28008eba 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -1,4 +1,21 @@ -pub mod dyn_predictor; +//! The foundational abstractions everything else is built on. +//! +//! A [`Signature`] declares what you want the LM to do — input fields, output fields, +//! and an instruction. [`SignatureSchema`] is the Facet-derived metadata for those fields, +//! cached once per type and shared by the adapter and optimizer. [`Module`] is the trait +//! every prompting strategy implements — it's deliberately narrow (`forward` takes an +//! input, returns a predicted output) so that strategies are interchangeable. +//! +//! [`Predicted`] wraps a typed output with [`CallMetadata`] (raw response text, token +//! usage, per-field parse results). The error hierarchy — [`PredictError`], [`ParseError`], +//! [`LmError`] — distinguishes LM failures from parse failures so callers can handle +//! retries differently. [`LM`] is the language model client itself. +//! +//! Most users import these through the crate root (`use dspy_rs::*`). Module authors +//! who need fine-grained prompt control also use [`SignatureSchema`] and the adapter +//! building blocks directly. + +pub(crate) mod dyn_predictor; mod errors; pub mod lm; pub mod module; @@ -9,7 +26,7 @@ pub mod settings; pub mod signature; pub mod specials; -pub use dyn_predictor::*; +pub(crate) use dyn_predictor::*; pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; pub use lm::*; pub use module::*; diff --git a/crates/dspy-rs/src/core/schema.rs b/crates/dspy-rs/src/core/schema.rs index 386d2598..fffcb0e1 100644 --- a/crates/dspy-rs/src/core/schema.rs +++ b/crates/dspy-rs/src/core/schema.rs @@ -63,8 +63,8 @@ pub struct FieldMetadataSpec { /// Complete schema for a single field in a signature, combining Facet shape data with metadata. /// -/// Used by the adapter for prompt formatting and response parsing, and by the dynamic graph -/// for edge type validation. +/// Used by the adapter for prompt formatting and response parsing, and by the optimizer +/// for field inspection. #[derive(Debug, Clone)] pub struct FieldSchema { /// The field name shown to the LM (may differ from Rust name via aliasing). diff --git a/crates/dspy-rs/src/data/dataloader.rs b/crates/dspy-rs/src/data/dataloader.rs index fcc207be..949f8663 100644 --- a/crates/dspy-rs/src/data/dataloader.rs +++ b/crates/dspy-rs/src/data/dataloader.rs @@ -10,8 +10,24 @@ use std::io::Cursor; use std::{collections::HashMap, path::Path}; use tracing::{Span, debug}; -use crate::{Example, is_url, string_record_to_example}; +use crate::{RawExample, is_url, string_record_to_example}; +/// Loads datasets from JSON, CSV, Parquet files, and HuggingFace Hub. +/// +/// All methods return `Vec` — untyped key-value pairs. Specify +/// `input_keys` and `output_keys` to tell the system which fields are inputs +/// vs outputs (this metadata flows through to typed conversion later). +/// +/// Supports both local file paths and HTTP(S) URLs for JSON and CSV. +/// +/// ```ignore +/// let examples = DataLoader::load_json( +/// "data/hotpotqa.jsonl", +/// true, // JSON lines format +/// vec!["question".into()], +/// vec!["answer".into()], +/// )?; +/// ``` pub struct DataLoader; impl DataLoader { @@ -25,12 +41,21 @@ impl DataLoader { output_keys = output_keys.len() ) )] + /// Loads examples from a JSON file or URL. + /// + /// When `lines` is `true`, treats each line as a separate JSON object (JSONL format). + /// When `false`, expects a single JSON object. + /// + /// # Errors + /// + /// - Network error if `path` is a URL and the request fails + /// - Parse error if the JSON is malformed pub fn load_json( path: &str, lines: bool, input_keys: Vec, output_keys: Vec, - ) -> Result> { + ) -> Result> { let source_is_url = is_url(path); let data = if source_is_url { let response = reqwest::blocking::get(path)?; @@ -39,7 +64,7 @@ impl DataLoader { fs::read_to_string(path)? }; - let examples: Vec = if lines { + let examples: Vec = if lines { let lines = data.lines().collect::>(); let span = Span::current(); @@ -48,7 +73,7 @@ impl DataLoader { .map(|line| { let span = span.clone(); span.in_scope(|| { - Example::new( + RawExample::new( serde_json::from_str(line).unwrap(), input_keys.clone(), output_keys.clone(), @@ -57,7 +82,7 @@ impl DataLoader { }) .collect() } else { - vec![Example::new( + vec![RawExample::new( serde_json::from_str(&data).unwrap(), input_keys.clone(), output_keys.clone(), @@ -73,7 +98,10 @@ impl DataLoader { skip(examples), fields(examples = examples.len()) )] - pub fn save_json(path: &str, examples: Vec, lines: bool) -> Result<()> { + /// Saves examples to a JSON file. + /// + /// When `lines` is `true`, writes one JSON object per line (JSONL format). + pub fn save_json(path: &str, examples: Vec, lines: bool) -> Result<()> { let data = if lines { examples .into_iter() @@ -98,44 +126,91 @@ impl DataLoader { output_keys = output_keys.len() ) )] + /// Loads examples from a CSV file or URL. + /// + /// When `has_headers` is `true`, uses the first row as field names. When `false`, + /// uses `input_keys` and `output_keys` as field names (falling back to `column_0`, + /// `column_1`, etc. if those are also empty). + /// + /// # Errors + /// + /// - Network error if `path` is a URL and the request fails + /// - Parse error if the CSV is malformed pub fn load_csv( path: &str, delimiter: char, input_keys: Vec, output_keys: Vec, has_headers: bool, - ) -> Result> { + ) -> Result> { + let mut fallback_field_names = input_keys.clone(); + fallback_field_names.extend(output_keys.clone()); + let source_is_url = is_url(path); - let records = if source_is_url { + let (records, header_field_names) = if source_is_url { let response = reqwest::blocking::get(path)?.bytes()?.to_vec(); let cursor = Cursor::new(response); - let records: Vec<_> = ReaderBuilder::new() + let mut reader = ReaderBuilder::new() .delimiter(delimiter as u8) .has_headers(has_headers) - .from_reader(cursor) - .into_records() - .collect::, _>>()?; + .from_reader(cursor); + + let header_field_names = if has_headers { + Some( + reader + .headers()? + .iter() + .map(|header| header.to_string()) + .collect::>(), + ) + } else if !fallback_field_names.is_empty() { + Some(fallback_field_names.clone()) + } else { + None + }; + + let records: Vec<_> = reader.into_records().collect::, _>>()?; - records + (records, header_field_names) } else { - let records: Vec<_> = ReaderBuilder::new() + let mut reader = ReaderBuilder::new() .delimiter(delimiter as u8) .has_headers(has_headers) - .from_path(path)? - .into_records() - .collect::, _>>()?; + .from_path(path)?; + + let header_field_names = if has_headers { + Some( + reader + .headers()? + .iter() + .map(|header| header.to_string()) + .collect::>(), + ) + } else if !fallback_field_names.is_empty() { + Some(fallback_field_names.clone()) + } else { + None + }; + + let records: Vec<_> = reader.into_records().collect::, _>>()?; - records + (records, header_field_names) }; let span = Span::current(); + let header_field_names = header_field_names.as_deref(); - let examples: Vec = records + let examples: Vec = records .par_iter() .map(|row| { let span = span.clone(); span.in_scope(|| { - string_record_to_example(row.clone(), input_keys.clone(), output_keys.clone()) + string_record_to_example( + row.clone(), + header_field_names, + input_keys.clone(), + output_keys.clone(), + ) }) }) .collect(); @@ -150,7 +225,8 @@ impl DataLoader { skip(examples), fields(examples = examples.len()) )] - pub fn save_csv(path: &str, examples: Vec, delimiter: char) -> Result<()> { + /// Saves examples to a CSV file with the given delimiter. + pub fn save_csv(path: &str, examples: Vec, delimiter: char) -> Result<()> { let mut writer = WriterBuilder::new() .delimiter(delimiter as u8) .from_path(path)?; @@ -176,11 +252,22 @@ impl DataLoader { skip(input_keys, output_keys), fields(input_keys = input_keys.len(), output_keys = output_keys.len()) )] + /// Loads examples from a local Parquet file. + /// + /// Only reads string columns — other column types are silently skipped. Rows + /// where all columns are null are skipped. + /// + /// Does not support URLs — use [`load_hf`](DataLoader::load_hf) for remote datasets. + /// + /// # Errors + /// + /// - File not found or I/O error + /// - Invalid Parquet format pub fn load_parquet( path: &str, input_keys: Vec, output_keys: Vec, - ) -> Result> { + ) -> Result> { let file_path = Path::new(path); let file = fs::File::open(file_path)?; @@ -210,7 +297,7 @@ impl DataLoader { } if !data.is_empty() { - examples.push(Example::new(data, input_keys.clone(), output_keys.clone())); + examples.push(RawExample::new(data, input_keys.clone(), output_keys.clone())); } } } @@ -224,6 +311,22 @@ impl DataLoader { skip(input_keys, output_keys), fields(input_keys = input_keys.len(), output_keys = output_keys.len()) )] + /// Loads examples from a HuggingFace Hub dataset. + /// + /// Downloads and caches the dataset locally using `hf_hub`, then loads each + /// file (Parquet, JSON, JSONL, or CSV) that matches the `subset` and `split` + /// filters. Files are loaded in parallel via rayon. + /// + /// # Known issue: silent file errors + /// + /// Individual file load errors are silently swallowed (`.ok()`). If a Parquet + /// file is corrupted or a JSON file is malformed, it's skipped without error and + /// you get fewer examples than expected. Check `examples.len()` against your + /// expectations. Set `verbose = true` to see which files are being loaded. + /// + /// # Errors + /// + /// - HuggingFace API error (auth, dataset not found) pub fn load_hf( dataset_id: &str, input_keys: Vec, @@ -231,7 +334,7 @@ impl DataLoader { subset: &str, split: &str, verbose: bool, - ) -> Result> { + ) -> Result> { let api = Api::new()?; let repo = api.dataset(dataset_id.to_string()); diff --git a/crates/dspy-rs/src/data/mod.rs b/crates/dspy-rs/src/data/mod.rs index c82df98a..1bd5f8c1 100644 --- a/crates/dspy-rs/src/data/mod.rs +++ b/crates/dspy-rs/src/data/mod.rs @@ -1,3 +1,19 @@ +//! Data loading and example types. +//! +//! Two example types serve different layers: +//! +//! - **[`RawExample`]** (aliased from `example::Example`) — untyped key-value pairs with +//! explicit `input_keys`/`output_keys`. Used by the data loaders, the optimizer's +//! dynamic predictor bridge, and serialization. This is the wire format for examples. +//! +//! - **[`Example`](crate::predictors::Example)** (in `predictors`) — typed input/output +//! pair anchored to a [`Signature`](crate::Signature). Used by [`Predict`](crate::Predict) +//! for demos and by [`TypedMetric`](crate::TypedMetric) for evaluation. This is what +//! users work with. +//! +//! [`DataLoader`] reads JSON, CSV, Parquet, and HuggingFace datasets into `Vec`. +//! To use with typed modules, convert via the signature's schema. + pub mod dataloader; pub mod example; pub mod prediction; @@ -9,3 +25,5 @@ pub use example::*; pub use prediction::*; pub use serialize::*; pub use utils::*; + +pub type RawExample = example::Example; diff --git a/crates/dspy-rs/src/data/utils.rs b/crates/dspy-rs/src/data/utils.rs index 0340b1c9..02ef9f41 100644 --- a/crates/dspy-rs/src/data/utils.rs +++ b/crates/dspy-rs/src/data/utils.rs @@ -10,21 +10,46 @@ static IS_URL_PAT: LazyLock = LazyLock::new(|| { ).unwrap() }); +/// Converts a CSV [`StringRecord`] into a [`RawExample`](crate::RawExample). +/// +/// If `field_names` is provided and matches the record length, uses those as keys. +/// Otherwise falls back to `column_0`, `column_1`, etc. pub fn string_record_to_example( record: StringRecord, + field_names: Option<&[String]>, input_keys: Vec, output_keys: Vec, ) -> Example { - Example::new( + let pairs = if let Some(names) = field_names { + if names.len() == record.len() { + names + .iter() + .zip(record.iter()) + .map(|(name, cell)| (name.clone(), cell.to_string().into())) + .collect() + } else { + record + .iter() + .enumerate() + .map(|(idx, cell)| (format!("column_{idx}"), cell.to_string().into())) + .collect() + } + } else { record .iter() - .map(|cell| (cell.to_string(), cell.to_string().into())) - .collect(), + .enumerate() + .map(|(idx, cell)| (format!("column_{idx}"), cell.to_string().into())) + .collect() + }; + + Example::new( + pairs, input_keys.clone(), output_keys.clone(), ) } +/// Returns `true` if the string looks like an HTTP(S) URL. pub fn is_url(path: &str) -> bool { IS_URL_PAT.is_match(path) } diff --git a/crates/dspy-rs/src/evaluate/evaluator.rs b/crates/dspy-rs/src/evaluate/evaluator.rs index 74fa7ac6..740d3c83 100644 --- a/crates/dspy-rs/src/evaluate/evaluator.rs +++ b/crates/dspy-rs/src/evaluate/evaluator.rs @@ -1,12 +1,16 @@ use anyhow::{Result, anyhow}; -use bamltype::baml_types::BamlMap; use crate::core::Module; -use crate::data::example::Example; -use crate::{BamlType, BamlValue, Predicted}; +use crate::{Predicted, Signature}; +use crate::predictors::Example; use super::FeedbackMetric; +/// Result of evaluating a single example: a score and optional textual feedback. +/// +/// Score-only metrics use [`MetricOutcome::score()`]. Feedback-aware metrics (required +/// by [`GEPA`](crate::GEPA)) use [`MetricOutcome::with_feedback()`] to include a [`FeedbackMetric`] +/// explaining *why* the example scored the way it did. #[derive(Debug, Clone, PartialEq)] pub struct MetricOutcome { pub score: f32, @@ -14,6 +18,10 @@ pub struct MetricOutcome { } impl MetricOutcome { + /// Creates an outcome with only a numerical score. + /// + /// Sufficient for [`COPRO`](crate::COPRO) and [`MIPROv2`](crate::MIPROv2). + /// [`GEPA`](crate::GEPA) will error if it receives outcomes without feedback. pub fn score(score: f32) -> Self { Self { score, @@ -21,6 +29,10 @@ impl MetricOutcome { } } + /// Creates an outcome with a score and textual feedback. + /// + /// Required by [`GEPA`](crate::GEPA), which appends the feedback text to candidate + /// instructions during evolutionary mutation. pub fn with_feedback(score: f32, feedback: FeedbackMetric) -> Self { Self { score, @@ -29,66 +41,80 @@ impl MetricOutcome { } } +/// How you tell the optimizer what "good" means. +/// +/// Implement this to score a module's prediction against a ground-truth example. +/// The trait is generic over `S` (signature) and `M` (module) so your metric sees +/// fully typed data: the [`Example`](crate::predictors::Example) with its typed +/// input and expected output, and the [`Predicted`](crate::Predicted) which +/// may be augmented (e.g. `WithReasoning` for `ChainOfThought`). +/// +/// Return [`MetricOutcome::score()`] for a numerical score (0.0–1.0 by convention). +/// Return [`MetricOutcome::with_feedback()`] to include textual feedback explaining +/// *why* — [`GEPA`](crate::GEPA) uses this to guide its search, other optimizers ignore it. +/// +/// # Example +/// +/// ```ignore +/// struct ExactMatch; +/// +/// impl TypedMetric> for ExactMatch { +/// async fn evaluate( +/// &self, +/// example: &Example, +/// prediction: &Predicted, +/// ) -> Result { +/// let score = if prediction.answer == example.output.answer { 1.0 } else { 0.0 }; +/// Ok(MetricOutcome::score(score)) +/// } +/// } +/// ``` #[allow(async_fn_in_trait)] -pub trait TypedMetric: Send + Sync { +pub trait TypedMetric: Send + Sync +where + S: Signature, + M: Module, +{ async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result; } -fn baml_map_from_example_keys(example: &Example, keys: &[String]) -> Result> { - let mut map = BamlMap::new(); - for key in keys { - if let Some(value) = example.data.get(key) { - let baml_value = - BamlValue::try_from(value.clone()).map_err(|err| anyhow!("{err}"))?; - map.insert(key.clone(), baml_value); - } - } - Ok(map) -} - -pub fn input_keys_from_example(example: &Example) -> Vec { - if !example.input_keys.is_empty() { - return example.input_keys.clone(); - } - - if !example.output_keys.is_empty() { - return example - .data - .keys() - .filter(|key| !example.output_keys.contains(*key)) - .cloned() - .collect(); - } - - example.data.keys().cloned().collect() -} - -pub fn input_from_example(example: &Example) -> Result -where - I: BamlType, -{ - let keys = input_keys_from_example(example); - let map = baml_map_from_example_keys(example, &keys)?; - I::try_from_baml_value(BamlValue::Map(map)).map_err(|err| anyhow!("{err}")) -} - -pub async fn evaluate_trainset( +/// Runs a module on every example in a trainset and scores each with a metric. +/// +/// Returns one [`MetricOutcome`] per example, in trainset order. Individual LM call +/// failures are propagated (not swallowed) — if any call fails, the whole evaluation +/// fails. For fault-tolerant batching, use [`forward_all`](crate::forward_all) instead. +/// +/// This runs sequentially (one example at a time). Optimizers call this internally; +/// you can also use it directly to benchmark your module: +/// +/// ```ignore +/// let outcomes = evaluate_trainset(&module, &trainset, &metric).await?; +/// println!("Average: {:.3}", average_score(&outcomes)); +/// ``` +/// +/// # Errors +/// +/// - Any [`Module::call`] failure propagates immediately +/// - Any [`TypedMetric::evaluate`] failure propagates immediately +pub async fn evaluate_trainset( module: &M, - trainset: &[Example], + trainset: &[Example], metric: &MT, ) -> Result> where - M: Module, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module, + MT: TypedMetric, { let mut outcomes = Vec::with_capacity(trainset.len()); for example in trainset { - let input = input_from_example::(example)?; + let input = example.input.clone(); let predicted = module.call(input).await.map_err(|err| anyhow!("{err}"))?; outcomes.push(metric.evaluate(example, &predicted).await?); } @@ -96,6 +122,9 @@ where Ok(outcomes) } +/// Arithmetic mean of scores from a slice of [`MetricOutcome`]s. +/// +/// Returns `0.0` for an empty slice. pub fn average_score(outcomes: &[MetricOutcome]) -> f32 { if outcomes.is_empty() { return 0.0; diff --git a/crates/dspy-rs/src/evaluate/feedback.rs b/crates/dspy-rs/src/evaluate/feedback.rs index 20a182c9..25ae4593 100644 --- a/crates/dspy-rs/src/evaluate/feedback.rs +++ b/crates/dspy-rs/src/evaluate/feedback.rs @@ -1,8 +1,26 @@ -use crate::{BamlValue, Example}; +use crate::{BamlValue, RawExample}; use serde::{Deserialize, Serialize}; use std::collections::HashMap; -/// Rich evaluation metric with both score and textual feedback. +/// Rich evaluation metric pairing a numerical score with textual feedback. +/// +/// Used by [`GEPA`](crate::GEPA) to guide evolutionary instruction search. The +/// `feedback` string is appended to candidate instructions during mutation, so +/// it should explain *why* the score is what it is — not just restate the score. +/// +/// Good feedback: "The answer correctly identifies the capital but misspells 'Canberra'" +/// Bad feedback: "Score: 0.5" +/// +/// // TODO(vector-feedback): `score` should be `Vec` (or a named score vector) +/// // so metrics can express multi-dimensional quality (accuracy, fluency, brevity, etc.) +/// // and the Pareto frontier can operate on the full vector instead of a scalar collapse. +/// +/// ``` +/// use dspy_rs::FeedbackMetric; +/// +/// let fb = FeedbackMetric::new(0.7, "Correct answer but verbose explanation"); +/// assert_eq!(fb.score, 0.7); +/// ``` #[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] pub struct FeedbackMetric { /// Numerical score (typically 0.0 to 1.0, but can be any range) @@ -52,10 +70,18 @@ impl Default for FeedbackMetric { } } -/// Execution trace capturing program behavior during evaluation/optimization. +/// Execution trace capturing inputs, outputs, feedback, and errors from a single run. +/// +/// Used internally by optimizers to record what happened during evaluation. The +/// [`format_for_reflection`](ExecutionTrace::format_for_reflection) method produces a +/// human-readable summary suitable for including in LM prompts (e.g. for GEPA's +/// feedback-driven mutation). +/// +/// Not related to the [`trace`](crate::trace) module's computation graph — this is +/// a flat record of one evaluation, not a DAG of LM calls. #[derive(Debug, Clone, Serialize, Deserialize)] pub struct ExecutionTrace { - pub inputs: Example, + pub inputs: RawExample, pub outputs: Option, pub feedback: Option, pub intermediate_steps: Vec<(String, serde_json::Value)>, @@ -64,7 +90,8 @@ pub struct ExecutionTrace { } impl ExecutionTrace { - pub fn simple(inputs: Example, outputs: BamlValue) -> Self { + /// Creates a trace with just inputs and outputs, no feedback or errors. + pub fn simple(inputs: RawExample, outputs: BamlValue) -> Self { Self { inputs, outputs: Some(outputs), @@ -75,7 +102,7 @@ impl ExecutionTrace { } } - pub fn builder(inputs: Example) -> ExecutionTraceBuilder { + pub fn builder(inputs: RawExample) -> ExecutionTraceBuilder { ExecutionTraceBuilder::new(inputs) } @@ -84,6 +111,7 @@ impl ExecutionTrace { self } + /// Returns `true` if the execution produced output and had no errors. pub fn is_successful(&self) -> bool { self.outputs.is_some() && self.errors.is_empty() } @@ -92,6 +120,11 @@ impl ExecutionTrace { self.feedback.as_ref().map(|f| f.score) } + /// Formats the trace as a human-readable string for LM prompt inclusion. + /// + /// Includes inputs, execution steps, outputs, errors, and feedback score. + /// Suitable for appending to optimization prompts where the LM needs to + /// understand what happened in a previous evaluation. pub fn format_for_reflection(&self) -> String { let mut result = String::new(); @@ -134,7 +167,7 @@ pub struct ExecutionTraceBuilder { } impl ExecutionTraceBuilder { - pub fn new(inputs: Example) -> Self { + pub fn new(inputs: RawExample) -> Self { Self { trace: ExecutionTrace { inputs, @@ -202,7 +235,7 @@ mod tests { #[test] fn test_execution_trace_builder() { - let inputs = Example::new( + let inputs = RawExample::new( [("question".to_string(), json!("What is 2+2?"))].into(), vec!["question".to_string()], vec![], diff --git a/crates/dspy-rs/src/evaluate/mod.rs b/crates/dspy-rs/src/evaluate/mod.rs index b7d4bddb..410eb298 100644 --- a/crates/dspy-rs/src/evaluate/mod.rs +++ b/crates/dspy-rs/src/evaluate/mod.rs @@ -1,3 +1,17 @@ +//! Evaluation and metrics for measuring module performance. +//! +//! The evaluation loop is simple: run the module on each training example, score the +//! result with a [`TypedMetric`], collect [`MetricOutcome`]s. Optimizers use this +//! internally, but you can also call [`evaluate_trainset`] directly to benchmark +//! your module before and after optimization. +//! +//! Two kinds of metrics: +//! - **Score-only** — return [`MetricOutcome::score()`] with a `f32`. Enough for +//! [`COPRO`](crate::COPRO) and [`MIPROv2`](crate::MIPROv2). +//! - **Score + feedback** — return [`MetricOutcome::with_feedback()`] with a +//! [`FeedbackMetric`]. Required by [`GEPA`](crate::GEPA), which uses the textual +//! feedback to guide evolutionary search. + pub mod evaluator; pub mod feedback; pub mod feedback_helpers; diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index 9a1ef27f..2ca52ef1 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -1,3 +1,89 @@ +//! Typed prompt engineering and LM program optimization. +//! +//! DSRs is a Rust port of [DSPy](https://github.com/stanfordnlp/dspy): you declare what +//! you want the LM to produce (a [`Signature`]), pick a prompting strategy (a [`Module`] +//! like [`Predict`] or [`ChainOfThought`]), and let an [`Optimizer`] tune the program's +//! instructions and demos on your training data. The type system enforces correctness +//! at every layer — field types, strategy swaps, and augmentation composition are all +//! compile-time checked. +//! +//! # The mental model +//! +//! Three concepts, three layers: +//! +//! | Layer | Concept | Key types | Who | +//! |-------|---------|-----------|-----| +//! | **Signatures** | "Given these inputs, produce these outputs" | [`Signature`], `#[derive(Signature)]` | Everyone | +//! | **Modules** | Prompting strategies that implement a signature | [`Module`], [`Predict`], [`ChainOfThought`] | Everyone | +//! | **Optimization** | Auto-tuning instructions and demos | [`Optimizer`], [`COPRO`], [`GEPA`], [`MIPROv2`] | When you need better results | +//! +//! A [`Predict`] is the leaf — the only thing that actually calls the LM. Every other +//! module ([`ChainOfThought`], custom pipelines) delegates to one or more `Predict` leaves. +//! Optimizers discover these leaves automatically via Facet reflection and mutate their +//! instructions and few-shot demos. +//! +//! # Quick start +//! +//! ```no_run +//! use dspy_rs::*; +//! +//! #[derive(Signature, Clone, Debug)] +//! /// Answer questions accurately and concisely. +//! struct QA { +//! #[input] question: String, +//! #[output] answer: String, +//! } +//! +//! # async fn example() -> Result<(), PredictError> { +//! // 1. Configure the LM +//! dspy_rs::configure(LM::from_model("openai/gpt-4o-mini")); +//! +//! // 2. Pick a strategy +//! let cot = ChainOfThought::::new(); +//! +//! // 3. Call it +//! let result = cot.call(QAInput { question: "What is 2+2?".into() }).await?; +//! println!("{}", result.reasoning); // chain-of-thought text +//! println!("{}", result.answer); // the actual answer, via Deref +//! # Ok(()) +//! # } +//! ``` +//! +//! `ChainOfThought` returns [`Predicted>`](Predicted), not +//! `Predicted`. You access `.reasoning` directly and `.answer` through auto-deref +//! ([`WithReasoning`] derefs to `O`). This pattern holds for all augmentations — the +//! compiler tells you what changed when you swap strategies. +//! +//! # What doesn't work (yet) +//! +//! - **No dynamic graph / structural optimization.** The type-erased `ProgramGraph`, +//! `DynModule`, `StrategyFactory` layer was prototyped and intentionally removed. +//! Everything here is statically typed, which is both the strength and the constraint. +//! - **MIPRO is instruction-only.** It should also mutate demos per-predictor based on +//! trace data — Python DSPy does this — but it doesn't yet. +//! - **No `ReAct`, `BestOfN`, `Refine`, or other advanced modules** beyond `ChainOfThought`. +//! The module trait and augmentation system are designed for them, but nobody's built +//! them yet. +//! - **`CallMetadata` is not extensible.** Modules can't attach custom metadata (e.g. +//! "which attempt won in BestOfN"). This should probably be a trait with associated +//! types, but it isn't. +//! - **Container traversal is partial.** The optimizer walker handles `Option`, `Vec`, +//! `HashMap`, and `Box`. `Rc`/`Arc` containing `Predict` leaves will error +//! explicitly, not silently skip. +//! +//! # Crate organization +//! +//! - [`adapter`] — Prompt formatting and LM response parsing ([`ChatAdapter`]) +//! - [`core`] — [`Module`] trait, [`Signature`] trait, [`SignatureSchema`], error types, +//! LM client, [`Predicted`] and [`CallMetadata`] +//! - [`predictors`] — [`Predict`] (the leaf module) and typed [`Example`] +//! - [`modules`] — [`ChainOfThought`] and augmentation types +//! - [`evaluate`] — [`TypedMetric`] trait, [`evaluate_trainset`], scoring utilities +//! - [`optimizer`] — [`Optimizer`] trait, [`COPRO`], [`GEPA`], [`MIPROv2`] +//! - [`data`] — [`DataLoader`] for JSON/CSV/Parquet/HuggingFace datasets +//! - [`trace`] — Execution graph recording for debugging +//! - [`utils`] — Response caching + extern crate self as dspy_rs; pub mod adapter; @@ -14,7 +100,11 @@ pub mod utils; pub use adapter::chat::*; pub use augmentation::*; pub use core::*; -pub use data::*; +pub use data::dataloader::*; +pub(crate) use data::example::Example as RawExample; +pub use data::prediction::*; +pub use data::serialize::*; +pub use data::utils::*; pub use evaluate::*; pub use modules::*; pub use optimizer::*; @@ -183,8 +273,8 @@ macro_rules! sign { }}; } -/// Source: https://github.com/wholesome-ghoul/hashmap_macro/blob/master/src/lib.rs -/// Author: https://github.com/wholesome-ghoul +/// Source: +/// Author: /// License: MIT /// Description: This macro creates a HashMap from a list of key-value pairs. /// Reason for Reuse: Want to avoid adding a dependency for a simple macro. diff --git a/crates/dspy-rs/src/modules/chain_of_thought.rs b/crates/dspy-rs/src/modules/chain_of_thought.rs index 6ea42547..0b54a73b 100644 --- a/crates/dspy-rs/src/modules/chain_of_thought.rs +++ b/crates/dspy-rs/src/modules/chain_of_thought.rs @@ -1,13 +1,15 @@ use crate::Augmentation; use crate::augmentation::Augmented; use crate::core::{Module, Signature}; -use crate::predictors::{Demo, Predict, PredictBuilder}; +use crate::predictors::{Example, Predict, PredictBuilder}; use crate::{BamlType, PredictError, Predicted}; /// Augmentation that prepends a `reasoning: String` field to a signature's output. /// -/// This is the "think step by step" primitive. The LM sees the field in its output -/// format and generates reasoning text before answering. Used by [`ChainOfThought`]. +/// The "think step by step" primitive. The LM sees `reasoning` as the *first* output +/// field and generates it before the actual answer — this matters because the reasoning +/// text is in the context window when the LM produces subsequent fields, so it literally +/// has its own chain of thought to draw on. Used by [`ChainOfThought`]. #[derive(Augmentation, Clone, Debug)] #[augment(output, prepend)] pub struct Reasoning { @@ -42,6 +44,11 @@ pub type ChainOfThoughtOutput = WithReasoning<::Output>; /// `QAOutput` to [`WithReasoning`]. The compiler catches every downstream /// site that needs updating — that's the strategy swap working as designed. /// +/// If you're using a reasoning model (o1, o3, DeepSeek-R1, etc.), you probably don't +/// want this — the model already thinks internally before answering. Adding an explicit +/// `reasoning` output field on top of that is redundant and can hurt quality. Use bare +/// [`Predict`] instead. +/// /// This is not multi-turn conversation. Reasoning and answer are produced in a single /// LM call. The LM is simply asked to show its work before answering. #[derive(Default, facet::Facet)] @@ -51,16 +58,22 @@ pub struct ChainOfThought { } impl ChainOfThought { + /// Creates a new `ChainOfThought` with no demos and the signature's default instruction. pub fn new() -> Self { Self { predictor: Predict::>::new(), } } + /// Creates a `ChainOfThought` wrapping an existing augmented predictor. + /// + /// Use this when you've configured a `Predict>` via its + /// builder and want to wrap it in the `ChainOfThought` module interface. pub fn with_predict(predictor: Predict>) -> Self { Self { predictor } } + /// Returns a builder for configuring demos, instruction, and tools. pub fn builder() -> ChainOfThoughtBuilder { ChainOfThoughtBuilder::new() } @@ -106,6 +119,9 @@ where } /// Builder for [`ChainOfThought`] with demos, tools, and instruction override. +/// +/// Demos must include reasoning — they're `Example>`, not +/// `Example`. The reasoning field shows the LM what good chain-of-thought looks like. pub struct ChainOfThoughtBuilder { inner: PredictBuilder>, } @@ -117,14 +133,14 @@ impl ChainOfThoughtBuilder { } } - pub fn demo(mut self, demo: Demo>) -> Self { + pub fn demo(mut self, demo: Example>) -> Self { self.inner = self.inner.demo(demo); self } pub fn with_demos( mut self, - demos: impl IntoIterator>>, + demos: impl IntoIterator>>, ) -> Self { self.inner = self.inner.with_demos(demos); self diff --git a/crates/dspy-rs/src/optimizer/copro.rs b/crates/dspy-rs/src/optimizer/copro.rs index 890bda9a..d6c9c6a5 100644 --- a/crates/dspy-rs/src/optimizer/copro.rs +++ b/crates/dspy-rs/src/optimizer/copro.rs @@ -6,18 +6,55 @@ use crate::evaluate::{TypedMetric, average_score}; use crate::optimizer::{ Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use crate::{Example, Facet, Module}; - +use crate::{Facet, Module, Signature}; +use crate::predictors::Example; + +/// Breadth-first instruction optimizer. +/// +/// COPRO (Collaborative Prompt Optimization) generates `breadth` candidate instructions +/// per predictor, evaluates each on the trainset, keeps the best, then repeats for +/// `depth` rounds. Simple and predictable — good for quick iteration when you want +/// better instructions without complex search. +/// +/// Does not use feedback from the metric — only the numerical score matters. If you +/// have rich textual feedback, use [`GEPA`](crate::GEPA) instead. +/// +/// # Hyperparameters +/// +/// - **`breadth`** (default: 10) — candidates per round per predictor. Higher = more +/// exploration but proportionally more LM calls. Must be > 1. +/// - **`depth`** (default: 3) — optimization rounds. Each round refines the previous +/// best instruction. Diminishing returns beyond ~5. +/// - **`init_temperature`** (default: 1.4) — **currently unused.** Reserved for LM-generated +/// candidate diversity. Setting this has no effect. +/// - **`prompt_model`** — optional separate LM for generating candidate instructions. +/// Falls back to the global LM if unset. +/// +/// # Cost +/// +/// Total LM calls ≈ `breadth × depth × num_predictors × trainset_size`. For a module +/// with 2 predictors, breadth=10, depth=3, and 50 training examples: ~3000 calls. +/// +/// ```ignore +/// let copro = COPRO::builder().breadth(10).depth(3).build(); +/// copro.compile(&mut module, trainset, &metric).await?; +/// ``` #[derive(Builder)] pub struct COPRO { + /// Candidate instructions generated per round (must be > 1). #[builder(default = 10)] pub breadth: usize, + /// Optimization rounds — each refines the previous best. #[builder(default = 3)] pub depth: usize, + /// **Currently unused.** Reserved for controlling LM-generated candidate diversity. + /// Setting this has no effect. #[builder(default = 1.4)] pub init_temperature: f32, + /// Whether to track per-round statistics. #[builder(default = false)] pub track_stats: bool, + /// Optional separate LM for generating candidate instructions. pub prompt_model: Option, } @@ -39,17 +76,19 @@ impl COPRO { }) } - async fn score_candidate( + async fn score_candidate( &self, module: &mut M, predictor_name: &str, candidate_instruction: &str, - trainset: &[Example], + trainset: &[Example], metric: &MT, ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { Self::set_instruction(module, predictor_name, candidate_instruction.to_string())?; let outcomes = evaluate_module_with_metric(&*module, trainset, metric).await?; @@ -88,15 +127,17 @@ impl COPRO { impl Optimizer for COPRO { type Report = (); - async fn compile( + async fn compile( &self, module: &mut M, - trainset: Vec, + trainset: Vec>, metric: &MT, ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { if self.breadth <= 1 { return Err(anyhow!("breadth must be greater than 1")); @@ -121,7 +162,13 @@ impl Optimizer for COPRO { for candidate in candidates { let score = self - .score_candidate(module, predictor_name, &candidate, &trainset, metric) + .score_candidate::( + module, + predictor_name, + &candidate, + &trainset, + metric, + ) .await?; if score > best_score { best_score = score; diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index a98a252e..0ed598df 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -1,16 +1,21 @@ -/// GEPA (Genetic-Pareto) Optimizer Implementation on typed metric path. use anyhow::{Context, Result, anyhow}; use bon::Builder; use serde::{Deserialize, Serialize}; -use crate::evaluate::{MetricOutcome, TypedMetric, average_score, input_from_example}; +use crate::evaluate::{MetricOutcome, TypedMetric, average_score}; use crate::optimizer::{ Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use crate::{BamlType, BamlValue, Example, Facet, Module}; +use crate::{BamlType, BamlValue, Facet, Module, Signature}; +use crate::predictors::Example; use super::pareto::ParetoFrontier; +/// A single instruction candidate tracked through GEPA's evolutionary search. +/// +/// Carries the instruction text, per-example scores, lineage (parent_id), and +/// generation number. The Pareto frontier selects candidates that aren't dominated +/// on any individual example — not just by average score. #[derive(Debug, Clone, Serialize, Deserialize)] pub struct GEPACandidate { pub id: usize, @@ -41,47 +46,127 @@ impl GEPACandidate { } } +/// Full report from a [`GEPA`] optimization run. +/// +/// Contains the winning candidate, the complete candidate history (if `track_stats` +/// was enabled), budget usage, and optionally the best outputs on the validation set. #[derive(Debug, Clone, Serialize, Deserialize)] pub struct GEPAResult { + /// The candidate with the best average score on the Pareto frontier. pub best_candidate: GEPACandidate, + /// All candidates evaluated (empty unless `track_stats` is enabled). pub all_candidates: Vec, + /// Total evaluation rollouts consumed. pub total_rollouts: usize, + /// Total LM calls consumed (rollouts + candidate generation). pub total_lm_calls: usize, + /// (generation, best_average_score) pairs for plotting convergence. pub evolution_history: Vec<(usize, f32)>, + /// Highest score achieved per validation example across all candidates. pub highest_score_achieved_per_val_task: Vec, + /// Best outputs on the validation set (only if `track_best_outputs` is enabled). pub best_outputs_valset: Option>, + /// Pareto frontier statistics per generation. pub frontier_history: Vec, } pub use super::pareto::ParetoStatistics; +/// Genetic-Pareto instruction optimizer with feedback-driven evolution. +/// +/// GEPA uses an evolutionary search guided by per-example feedback from your metric. +/// Unlike [`COPRO`](crate::COPRO) which only uses numerical scores, GEPA requires your +/// [`TypedMetric`] to return [`MetricOutcome::with_feedback`] — textual feedback +/// explaining *why* each example scored the way it did. This feedback gets appended +/// to the instruction as a mutation prompt for the next generation, so the quality +/// of your feedback directly determines the quality of GEPA's search. +/// +/// The Pareto frontier tracks candidates that aren't dominated on any individual +/// training example, not just by average score. This means GEPA finds instructions +/// that are robust across diverse inputs rather than overfitting to easy examples. +/// +/// Only searches instruction space — no demo mutation, no crossover between candidates. +/// Each child has exactly one parent. +/// +/// # Hyperparameters +/// +/// - **`num_iterations`** (default: 20) — evolutionary generations. More = deeper search. +/// - **`minibatch_size`** (default: 25) — examples per parent evaluation within each +/// generation. Controls exploration vs cost. +/// - **`num_trials`** (default: 10) — **currently unused.** Reserved for multi-child +/// evolution (one child per generation right now). Setting this has no effect. +/// - **`temperature`** (default: 1.0) — **currently unused.** Reserved for mutation +/// diversity control. Setting this has no effect. +/// - **`max_rollouts`** / **`max_lm_calls`** — hard budget caps. Optimization stops +/// when either limit would be exceeded by the next batch. +/// - **`track_stats`** (default: true) — record all candidates and frontier history. +/// - **`track_best_outputs`** (default: false) — re-run the best instruction on the +/// eval set and record outputs. +/// - **`prompt_model`** — optional separate LM for candidate generation. +/// +/// # Requires feedback +/// +/// GEPA will error if any [`MetricOutcome`] from your metric has `feedback: None`. +/// Use [`MetricOutcome::with_feedback`] or provide a [`FeedbackMetric`](crate::FeedbackMetric). +/// +/// # Cost +/// +/// Roughly `num_iterations × (minibatch_size + eval_set_size) + initial_eval` LM calls. +/// Budget caps (`max_rollouts`, `max_lm_calls`) prevent runaway costs. +/// +/// ```ignore +/// let gepa = GEPA::builder() +/// .num_iterations(20) +/// .max_lm_calls(Some(500)) +/// .build(); +/// let report = gepa.compile(&mut module, trainset, &feedback_metric).await?; +/// println!("Best score: {:.3}", report.best_candidate.average_score()); +/// ``` #[derive(Builder)] pub struct GEPA { + /// Evolutionary generations to run. #[builder(default = 20)] pub num_iterations: usize, + /// Examples per parent evaluation within each generation. #[builder(default = 25)] pub minibatch_size: usize, + /// **Currently unused.** Reserved for multi-child evolution (one child per + /// generation right now). Setting this has no effect. #[builder(default = 10)] pub num_trials: usize, + /// **Currently unused.** Reserved for mutation diversity control. + /// Setting this has no effect. #[builder(default = 1.0)] pub temperature: f32, + /// Record all candidates and frontier history in the report. #[builder(default = true)] pub track_stats: bool, + /// Re-run the best instruction on the eval set and record outputs. #[builder(default = false)] pub track_best_outputs: bool, + /// Hard cap on total evaluation rollouts. pub max_rollouts: Option, + /// Hard cap on total LM calls (rollouts + generation). pub max_lm_calls: Option, + /// Optional separate LM for candidate generation. pub prompt_model: Option, - pub valset: Option>, } impl GEPA { + fn would_exceed_budget( + current: usize, + batch_cost: usize, + max_budget: Option, + ) -> bool { + max_budget.is_some_and(|max| current.saturating_add(batch_cost) > max) + } + fn set_instruction(module: &mut M, module_name: &str, instruction: String) -> Result<()> where M: for<'a> Facet<'a>, @@ -92,17 +177,19 @@ impl GEPA { }) } - async fn evaluate_candidate( + async fn evaluate_candidate( &self, module: &mut M, module_name: &str, instruction: &str, - examples: &[Example], + examples: &[Example], metric: &MT, ) -> Result> where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { Self::set_instruction(module, module_name, instruction.to_string())?; evaluate_module_with_metric(&*module, examples, metric).await @@ -136,35 +223,50 @@ impl GEPA { lines.join("\n") } - async fn collect_best_outputs(module: &M, eval_set: &[Example]) -> Result> + async fn collect_best_outputs( + module: &M, + eval_set: &[Example], + ) -> Result> where - M: Module, + S: Signature, + S::Input: Clone, + M: Module, M::Output: BamlType, { let mut outputs = Vec::with_capacity(eval_set.len()); for example in eval_set { - let input = input_from_example::(example)?; + let input = example.input.clone(); let predicted = module.call(input).await.map_err(|err| anyhow!("{err}"))?; outputs.push(predicted.into_inner().to_baml_value()); } Ok(outputs) } -} -impl Optimizer for GEPA { - type Report = GEPAResult; - - async fn compile( + /// Runs GEPA with an explicit validation set separate from the trainset. + /// + /// When `valset` is `Some`, initial evaluation and child scoring use the validation + /// set, while parent re-evaluation uses the trainset minibatch. When `None`, the + /// trainset serves both roles. + /// + /// # Errors + /// + /// - No optimizable predictors found + /// - Any metric evaluation returns `feedback: None` + /// - LM call failure during evaluation + pub async fn compile_with_valset( &self, module: &mut M, - trainset: Vec, + trainset: Vec>, + valset: Option>>, metric: &MT, - ) -> Result + ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { - let eval_set = self.valset.as_ref().unwrap_or(&trainset); + let eval_set = valset.as_deref().unwrap_or(&trainset); let predictor_names = predictor_names(module)?; @@ -173,15 +275,25 @@ impl Optimizer for GEPA { } let mut frontier = ParetoFrontier::new(); + let mut total_lm_calls = 0usize; + let mut total_rollouts = 0usize; for module_name in &predictor_names { + if Self::would_exceed_budget(total_lm_calls, eval_set.len(), self.max_lm_calls) + || Self::would_exceed_budget(total_rollouts, eval_set.len(), self.max_rollouts) + { + break; + } + let instruction = { with_named_predictor(module, module_name, |predictor| Ok(predictor.instruction()))? }; let outcomes = self - .evaluate_candidate(module, module_name, &instruction, eval_set, metric) + .evaluate_candidate::(module, module_name, &instruction, eval_set, metric) .await?; + total_lm_calls = total_lm_calls.saturating_add(outcomes.len()); + total_rollouts = total_rollouts.saturating_add(outcomes.len()); Self::require_feedback(&outcomes, module_name, 0)?; let scores: Vec = outcomes.iter().map(|o| o.score).collect(); @@ -199,8 +311,6 @@ impl Optimizer for GEPA { let mut all_candidates = Vec::new(); let mut evolution_history = Vec::new(); let mut frontier_history = Vec::new(); - let mut total_rollouts = 0usize; - let mut total_lm_calls = 0usize; for generation in 0..self.num_iterations { if let Some(max_rollouts) = self.max_rollouts @@ -220,27 +330,37 @@ impl Optimizer for GEPA { .context("failed to sample from frontier")? .clone(); - let minibatch: Vec = trainset - .iter() - .take(self.minibatch_size.max(1)) - .cloned() - .collect(); + let minibatch_end = trainset.len().min(self.minibatch_size.max(1)); + let minibatch = &trainset[..minibatch_end]; + + if Self::would_exceed_budget(total_lm_calls, minibatch.len(), self.max_lm_calls) + || Self::would_exceed_budget(total_rollouts, minibatch.len(), self.max_rollouts) + { + break; + } let parent_outcomes = self - .evaluate_candidate( + .evaluate_candidate::( module, &parent.module_name, &parent.instruction, - &minibatch, + minibatch, metric, ) .await?; + total_lm_calls = total_lm_calls.saturating_add(parent_outcomes.len()); Self::require_feedback(&parent_outcomes, &parent.module_name, generation)?; let feedback_summary = Self::summarize_feedback(&parent_outcomes); let parent_score = average_score(&parent_outcomes); total_rollouts += parent_outcomes.len(); + if Self::would_exceed_budget(total_lm_calls, eval_set.len(), self.max_lm_calls) + || Self::would_exceed_budget(total_rollouts, eval_set.len(), self.max_rollouts) + { + break; + } + let child_instruction = format!( "{}\n\n[GEPA gen {}] Improve based on feedback:\n{}\n(Parent score {:.3})", parent.instruction, @@ -252,7 +372,7 @@ impl Optimizer for GEPA { let child = parent.mutate(child_instruction, generation + 1); let child_outcomes = self - .evaluate_candidate( + .evaluate_candidate::( module, &child.module_name, &child.instruction, @@ -260,11 +380,11 @@ impl Optimizer for GEPA { metric, ) .await?; + total_lm_calls = total_lm_calls.saturating_add(child_outcomes.len()); Self::require_feedback(&child_outcomes, &child.module_name, generation + 1)?; let child_scores: Vec = child_outcomes.iter().map(|o| o.score).collect(); total_rollouts += child_scores.len(); - total_lm_calls += 1; let mut child = child; child.example_scores = child_scores.clone(); @@ -307,7 +427,7 @@ impl Optimizer for GEPA { }; let best_outputs_valset = if self.track_best_outputs { - Some(Self::collect_best_outputs(module, eval_set).await?) + Some(Self::collect_best_outputs::(module, eval_set).await?) } else { None }; @@ -324,3 +444,23 @@ impl Optimizer for GEPA { }) } } + +impl Optimizer for GEPA { + type Report = GEPAResult; + + async fn compile( + &self, + module: &mut M, + trainset: Vec>, + metric: &MT, + ) -> Result + where + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, + { + self.compile_with_valset::(module, trainset, None, metric) + .await + } +} diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index 819d1c90..ab657b9e 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -1,4 +1,3 @@ -/// MIPROv2 Optimizer (typed metric path). use anyhow::{Result, anyhow}; use bon::Builder; @@ -6,20 +5,25 @@ use crate::evaluate::{TypedMetric, average_score}; use crate::optimizer::{ Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use crate::{BamlType, BamlValue, Example, Facet, Module, SignatureSchema}; - -/// Represents a single execution trace of the program. +use crate::{BamlType, BamlValue, Facet, Module, Signature, SignatureSchema}; +use crate::predictors::Example; + +/// A single program execution trace: input, outputs, and score. +/// +/// Used internally by [`MIPROv2`] to collect execution data that informs +/// candidate instruction generation. Traces with higher scores guide the +/// optimizer toward better instructions. #[derive(Clone, Debug)] -pub struct Trace { - pub inputs: Example, +pub struct Trace { + pub input: S::Input, pub outputs: BamlValue, pub score: Option, } -impl Trace { - pub fn new(inputs: Example, outputs: BamlValue, score: Option) -> Self { +impl Trace { + pub fn new(input: S::Input, outputs: BamlValue, score: Option) -> Self { Self { - inputs, + input, outputs, score, } @@ -29,9 +33,7 @@ impl Trace { let mut result = String::new(); result.push_str("Input:\n"); - for (key, value) in &self.inputs.data { - result.push_str(&format!(" {}: {}\n", key, value)); - } + result.push_str(&format!(" {}\n", self.input.to_baml_value())); result.push_str("Output:\n"); result.push_str(&format!(" {}\n", self.outputs)); @@ -44,19 +46,20 @@ impl Trace { } } -/// Represents a candidate prompt with its associated examples and score. +/// An instruction candidate with its evaluated score. +/// +/// Generated by [`MIPROv2`]'s candidate generation step, then scored by +/// evaluating the module with this instruction on a minibatch. #[derive(Clone, Debug)] pub struct PromptCandidate { pub instruction: String, - pub demos: Vec, pub score: f32, } impl PromptCandidate { - pub fn new(instruction: String, demos: Vec) -> Self { + pub fn new(instruction: String) -> Self { Self { instruction, - demos, score: 0.0, } } @@ -67,7 +70,10 @@ impl PromptCandidate { } } -/// Library of prompting tips and best practices. +/// Library of general prompting best practices used to seed candidate generation. +/// +/// These tips are appended to candidate instructions during [`MIPROv2`] optimization +/// to introduce diversity. Each candidate gets a different tip from the rotation. pub struct PromptingTips { pub tips: Vec, } @@ -105,63 +111,96 @@ impl PromptingTips { } } +/// Trace-guided instruction optimizer. +/// +/// MIPROv2 (Multi-prompt Instruction PRoposal Optimizer v2) works in three phases: +/// +/// 1. **Trace collection** — runs the module on the trainset to collect execution +/// traces with scores +/// 2. **Candidate generation** — uses the traces and prompting tips to generate +/// `num_candidates` instruction variants per predictor +/// 3. **Trial evaluation** — evaluates up to `num_trials` candidates on a minibatch, +/// keeps the best +/// +/// Unlike [`GEPA`](crate::GEPA), MIPROv2 does not require feedback — only numerical scores. +/// Unlike [`COPRO`](crate::COPRO), it uses execution traces to inform candidate generation +/// rather than +/// blind search. +/// +/// # What it doesn't do +/// +/// MIPRO only optimizes instructions, not demos. Per-predictor demo mutation from +/// trace data is the next step — Python DSPy does this and it matters. The +/// `TODO(trace-demos)` markers in the source track this gap. +/// +/// # Hyperparameters +/// +/// - **`num_candidates`** (default: 10) — instruction variants generated per predictor. +/// - **`num_trials`** (default: 20) — maximum candidates evaluated per predictor. +/// If `num_trials` < `num_candidates`, only the first `num_trials` are evaluated. +/// - **`minibatch_size`** (default: 25) — examples per candidate evaluation. +/// +/// # Cost +/// +/// Roughly `num_predictors × (trainset_size + num_trials × minibatch_size)` LM calls. +/// +/// ```ignore +/// let mipro = MIPROv2::builder() +/// .num_candidates(10) +/// .num_trials(20) +/// .build(); +/// mipro.compile(&mut module, trainset, &metric).await?; +/// ``` #[derive(Builder)] pub struct MIPROv2 { + /// Instruction variants generated per predictor. #[builder(default = 10)] pub num_candidates: usize, - #[builder(default = 3)] - pub max_bootstrapped_demos: usize, - - #[builder(default = 3)] - pub max_labeled_demos: usize, - + /// Maximum candidates evaluated per predictor. #[builder(default = 20)] pub num_trials: usize, + /// Examples per candidate evaluation. #[builder(default = 25)] pub minibatch_size: usize, - - #[builder(default = 1.0)] - pub temperature: f32, - - pub prompt_model: Option, - - #[builder(default = true)] - pub track_stats: bool, - - pub seed: Option, } impl MIPROv2 { - async fn generate_traces( + async fn generate_traces( &self, module: &M, - examples: &[Example], + examples: &[Example], metric: &MT, - ) -> Result> + ) -> Result>> where - M: Module, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module, + MT: TypedMetric, { let mut traces = Vec::with_capacity(examples.len()); for example in examples { - let input = crate::evaluate::input_from_example::(example)?; + let input = example.input.clone(); let predicted = module.call(input).await.map_err(|err| anyhow!("{err}"))?; let outcome = metric.evaluate(example, &predicted).await?; let (output, _) = predicted.into_parts(); - traces.push(Trace::new(example.clone(), output.to_baml_value(), Some(outcome.score))); + traces.push(Trace::new( + example.input.clone(), + output.to_baml_value(), + Some(outcome.score), + )); } Ok(traces) } - pub fn select_best_traces(&self, traces: &[Trace], num_select: usize) -> Vec { - let mut scored_traces: Vec<_> = traces - .iter() - .filter(|t| t.score.is_some()) - .cloned() - .collect(); + pub fn select_best_traces<'a, S: Signature>( + &self, + traces: &'a [Trace], + num_select: usize, + ) -> Vec<&'a Trace> { + let mut scored_traces: Vec<_> = traces.iter().filter(|t| t.score.is_some()).collect(); scored_traces.sort_by(|a, b| { b.score @@ -172,10 +211,10 @@ impl MIPROv2 { scored_traces.into_iter().take(num_select).collect() } - fn generate_candidate_instructions( + fn generate_candidate_instructions( &self, program_description: &str, - traces: &[Trace], + traces: &[Trace], num_candidates: usize, ) -> Vec { let tips = PromptingTips::default_tips(); @@ -197,65 +236,66 @@ impl MIPROv2 { .collect() } - pub fn create_prompt_candidates( - &self, - instructions: Vec, - traces: &[Trace], - ) -> Vec { - let best_traces = self.select_best_traces(traces, self.max_labeled_demos); - let demo_examples: Vec = best_traces.into_iter().map(|t| t.inputs).collect(); - + pub fn create_prompt_candidates(&self, instructions: Vec) -> Vec { instructions .into_iter() - .map(|inst| PromptCandidate::new(inst, demo_examples.clone())) + .map(PromptCandidate::new) .collect() } - async fn evaluate_candidate( + async fn evaluate_candidate( &self, module: &mut M, candidate: &PromptCandidate, - eval_examples: &[Example], + eval_examples: &[Example], predictor_name: &str, metric: &MT, ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { with_named_predictor(module, predictor_name, |predictor| { predictor.set_instruction(candidate.instruction.clone()); - predictor.set_demos_from_examples(candidate.demos.clone())?; + // TODO(trace-demos): derive per-predictor demos from successful traces. + // MIPRO is intentionally instruction-only in this release. Ok(()) })?; - let minibatch: Vec = eval_examples - .iter() - .take(self.minibatch_size) - .cloned() - .collect(); - - let outcomes = evaluate_module_with_metric(&*module, &minibatch, metric).await?; + let minibatch_end = eval_examples.len().min(self.minibatch_size); + let minibatch = &eval_examples[..minibatch_end]; + let outcomes = evaluate_module_with_metric(&*module, minibatch, metric).await?; Ok(average_score(&outcomes)) } - async fn evaluate_and_select_best( + async fn evaluate_and_select_best( &self, module: &mut M, candidates: Vec, - eval_examples: &[Example], + eval_examples: &[Example], predictor_name: &str, metric: &MT, ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { let mut evaluated = Vec::new(); - for candidate in candidates { + let num_trials = self.num_trials.max(1); + for candidate in candidates.into_iter().take(num_trials) { let score = self - .evaluate_candidate(module, &candidate, eval_examples, predictor_name, metric) + .evaluate_candidate::( + module, + &candidate, + eval_examples, + predictor_name, + metric, + ) .await?; evaluated.push(candidate.with_score(score)); } @@ -300,15 +340,17 @@ impl MIPROv2 { impl Optimizer for MIPROv2 { type Report = (); - async fn compile( + async fn compile( &self, module: &mut M, - trainset: Vec, + trainset: Vec>, metric: &MT, ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric, { let predictor_names = predictor_names(module)?; @@ -323,20 +365,27 @@ impl Optimizer for MIPROv2 { })? }; - let traces = self.generate_traces(module, &trainset, metric).await?; + let traces = self.generate_traces::(module, &trainset, metric).await?; let instructions = self.generate_candidate_instructions( &signature_desc, &traces, self.num_candidates, ); - let candidates = self.create_prompt_candidates(instructions, &traces); + let candidates = self.create_prompt_candidates(instructions); let best_candidate = self - .evaluate_and_select_best(module, candidates, &trainset, &predictor_name, metric) + .evaluate_and_select_best::( + module, + candidates, + &trainset, + &predictor_name, + metric, + ) .await?; with_named_predictor(module, &predictor_name, |predictor| { predictor.set_instruction(best_candidate.instruction.clone()); - predictor.set_demos_from_examples(best_candidate.demos)?; + // TODO(trace-demos): apply per-predictor demos derived from traces. + // MIPRO is intentionally instruction-only in this release. Ok(()) })?; } diff --git a/crates/dspy-rs/src/optimizer/mod.rs b/crates/dspy-rs/src/optimizer/mod.rs index d2dddff1..5e23c3bd 100644 --- a/crates/dspy-rs/src/optimizer/mod.rs +++ b/crates/dspy-rs/src/optimizer/mod.rs @@ -1,3 +1,35 @@ +//! Automatic prompt optimization. +//! +//! An optimizer takes a module, a training set, and a metric, then searches for better +//! instructions (and in some cases, demos) for each [`Predict`](crate::Predict) leaf. +//! The module is mutated in-place — after optimization, calling it produces better results +//! without any code changes. +//! +//! The [`Optimizer::compile`] method takes `&mut module` (exclusive access — no concurrent +//! `call()` during optimization) and returns a report. The specific report type depends +//! on the optimizer: [`COPRO`] returns `()`, [`GEPA`] returns [`GEPAResult`] with full +//! evolution history, [`MIPROv2`] returns `()`. +//! +//! # How it works internally +//! +//! 1. The optimizer calls `named_parameters` to discover all `Predict` leaves via +//! Facet reflection +//! 2. For each leaf, it reads the current instruction and generates candidates +//! 3. Each candidate is evaluated by setting the instruction, running the module on the +//! trainset, and scoring with the metric +//! 4. The best instruction (per optimizer's strategy) is kept +//! +//! Users never see this machinery — they call `optimizer.compile(&mut module, trainset, &metric)` +//! and their module gets better. +//! +//! # Choosing an optimizer +//! +//! | Optimizer | Strategy | Needs feedback? | Cost | +//! |-----------|----------|-----------------|------| +//! | [`COPRO`] | Breadth-first instruction search | No | Low (breadth × depth × trainset) | +//! | [`GEPA`] | Genetic-Pareto evolution with feedback | **Yes** | Medium-high (iterations × eval) | +//! | [`MIPROv2`] | Trace-guided candidate generation | No | Medium (candidates × trials × trainset) | + pub mod copro; pub mod gepa; pub mod mipro; @@ -12,36 +44,68 @@ use anyhow::Result; use anyhow::anyhow; use crate::core::{DynPredictor, named_parameters}; -use crate::{Example, Facet, Module}; +use crate::{Facet, Module, Signature}; use crate::evaluate::{MetricOutcome, TypedMetric, evaluate_trainset}; +use crate::predictors::Example; +/// Tunes a module's [`Predict`](crate::Predict) leaves for better performance. +/// +/// Takes exclusive `&mut` access to the module during optimization — you cannot call +/// the module concurrently. After `compile` returns, the module's instructions and/or +/// demos have been mutated in-place. Just call the module as before; no code changes needed. +/// +/// ```ignore +/// let optimizer = COPRO::builder().breadth(10).depth(3).build(); +/// optimizer.compile(&mut module, trainset, &metric).await?; +/// // module is now optimized — call it as usual +/// let result = module.call(input).await?; +/// ``` +/// +/// # Errors +/// +/// Returns an error if: +/// - No optimizable `Predict` leaves are found in the module +/// - The metric evaluation fails on any training example +/// - An LM call fails during candidate evaluation #[allow(async_fn_in_trait)] pub trait Optimizer { type Report; - async fn compile( + async fn compile( &self, module: &mut M, - trainset: Vec, + trainset: Vec>, metric: &MT, ) -> Result where - M: Module + for<'a> Facet<'a>, - MT: TypedMetric; + S: Signature, + S::Input: Clone, + M: Module + for<'a> Facet<'a>, + MT: TypedMetric; } -pub(crate) async fn evaluate_module_with_metric( +/// Evaluates a module on a trainset using a typed metric. +/// +/// Thin wrapper around [`evaluate_trainset`](crate::evaluate::evaluate_trainset) for +/// internal optimizer use. Returns one [`MetricOutcome`] per training example. +pub(crate) async fn evaluate_module_with_metric( module: &M, - trainset: &[Example], + trainset: &[Example], metric: &MT, ) -> Result> where - M: Module, - MT: TypedMetric, + S: Signature, + S::Input: Clone, + M: Module, + MT: TypedMetric, { evaluate_trainset(module, trainset, metric).await } +/// Returns the dotted-path names of all [`Predict`](crate::Predict) leaves in a module. +/// +/// Convenience wrapper around [`named_parameters`](crate::core::dyn_predictor::named_parameters) +/// that discards the mutable handles and returns just the names. pub(crate) fn predictor_names(module: &mut M) -> Result> where M: for<'a> Facet<'a>, @@ -52,6 +116,11 @@ where .collect()) } +/// Looks up a single named predictor and applies a closure to it. +/// +/// # Errors +/// +/// Returns an error if the predictor name doesn't match any discovered leaf. pub(crate) fn with_named_predictor( module: &mut M, predictor_name: &str, diff --git a/crates/dspy-rs/src/optimizer/pareto.rs b/crates/dspy-rs/src/optimizer/pareto.rs index 78a63153..ecdec4f7 100644 --- a/crates/dspy-rs/src/optimizer/pareto.rs +++ b/crates/dspy-rs/src/optimizer/pareto.rs @@ -1,18 +1,21 @@ use rand::Rng; use serde::{Deserialize, Serialize}; -/// Pareto frontier management for GEPA optimizer -/// -/// Implements per-example dominance tracking and coverage-weighted sampling -/// as described in the GEPA paper. use std::collections::{HashMap, HashSet}; use crate::optimizer::gepa::GEPACandidate; -/// Pareto frontier maintaining candidates that excel on different examples +/// Per-example dominance frontier for [`GEPA`](crate::GEPA)'s evolutionary search. +/// +/// The key insight: optimizing for average score across examples lets the optimizer +/// overfit to easy examples while ignoring hard ones. The Pareto frontier prevents +/// this by keeping every candidate that's the *best on at least one example*. A +/// candidate that scores 0.3 average but is the only one to crack example #7 stays +/// on the frontier alongside a candidate that scores 0.9 average but fails #7. /// -/// A candidate is on the Pareto frontier if it achieves the highest score -/// on at least one evaluation example. This ensures diversity and prevents -/// premature convergence to local optima. +/// [`GEPA`](crate::GEPA) samples parents from this frontier proportional to coverage +/// (how many examples they win on), so well-rounded candidates get sampled more often +/// but specialists aren't eliminated. Candidates that are dominated on every example +/// get pruned automatically. #[derive(Debug, Clone)] pub struct ParetoFrontier { /// All candidates currently on the frontier @@ -31,7 +34,6 @@ pub struct ParetoFrontier { } impl ParetoFrontier { - /// Create a new empty Pareto frontier pub fn new() -> Self { Self { candidates: Vec::new(), @@ -41,29 +43,23 @@ impl ParetoFrontier { } } - /// Get the number of candidates on the frontier pub fn len(&self) -> usize { self.candidates.len() } - /// Check if frontier is empty pub fn is_empty(&self) -> bool { self.candidates.is_empty() } - /// Get all candidates on the frontier pub fn candidates(&self) -> &[GEPACandidate] { &self.candidates } - /// Add or update a candidate based on its scores - /// - /// # Arguments - /// * `candidate` - The candidate to add - /// * `scores` - Score for each example in the evaluation set + /// Adds a candidate if it achieves the best score on at least one example. /// - /// # Returns - /// `true` if the candidate made it onto the frontier + /// Returns `true` if the candidate made it onto the frontier (won or tied on + /// at least one example). Candidates already on the frontier that no longer + /// win on any example are pruned. pub fn add_candidate(&mut self, mut candidate: GEPACandidate, scores: &[f32]) -> bool { // Assign ID to new candidate candidate.id = self.next_id; @@ -146,7 +142,6 @@ impl ParetoFrontier { true } - /// Remove candidates that don't win on any example fn prune_dominated(&mut self) { let mut still_winning: HashSet = HashSet::new(); @@ -159,11 +154,11 @@ impl ParetoFrontier { .retain(|id, _| still_winning.contains(id)); } - /// Sample a candidate from the frontier with probability proportional to coverage + /// Samples a parent candidate, weighted by how many examples it wins on. /// - /// Candidates that win on more examples have higher probability of being selected. - /// This balances exploration (sampling diverse candidates) with exploitation - /// (sampling successful candidates). + /// Well-rounded candidates get sampled more often, but specialists that only + /// win on one hard example still get a chance. This prevents the search from + /// collapsing onto a single high-average candidate. pub fn sample_proportional_to_coverage(&self) -> Option<&GEPACandidate> { if self.candidates.is_empty() { return None; @@ -203,7 +198,11 @@ impl ParetoFrontier { self.candidates.last() } - /// Get the best candidate by average score + /// Returns the candidate with the highest average score across all examples. + /// + /// This is what [`GEPA`](crate::GEPA) installs as the final instruction — the + /// Pareto frontier preserves diversity during search, but the winner is still + /// picked by average. pub fn best_by_average(&self) -> Option<&GEPACandidate> { self.candidates.iter().max_by(|a, b| { let avg_a = a.average_score(); @@ -212,7 +211,6 @@ impl ParetoFrontier { }) } - /// Get statistics about the frontier pub fn statistics(&self) -> ParetoStatistics { let num_candidates = self.candidates.len(); let num_examples_covered = self.example_to_best.len(); @@ -254,21 +252,24 @@ impl Default for ParetoFrontier { } } -/// Statistics about the Pareto frontier +/// Snapshot of the Pareto frontier at a point in the search. +/// +/// Useful for plotting convergence. A healthy search has `num_candidates` growing +/// slowly (diversity is maintained) while `avg_coverage` increases (candidates are +/// getting more robust). If `num_candidates` is 1, the search has collapsed. #[derive(Debug, Clone, Serialize, Deserialize)] pub struct ParetoStatistics { - /// Number of candidates on the frontier + /// Candidates currently on the frontier. 1 means the search has converged + /// (or collapsed) to a single instruction. pub num_candidates: usize, - - /// Number of examples covered by at least one candidate + /// Examples where at least one frontier candidate is the best. Should approach + /// total eval set size as the search progresses. pub num_examples_covered: usize, - - /// Average number of examples won by each candidate + /// Mean examples won per candidate. Higher means candidates are more robust; + /// lower means more specialization. pub avg_coverage: f32, - - /// Maximum coverage (most examples won by any candidate) + /// Most examples won by any single candidate. pub max_coverage: usize, - - /// Minimum coverage (fewest examples won by any candidate) + /// Fewest examples won by any frontier candidate (always >= 1 by construction). pub min_coverage: usize, } diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 8624103b..236de78b 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -9,9 +9,10 @@ use tracing::{debug, trace}; use crate::core::{DynPredictor, Module, PredictState, Signature, register_predict_accessor}; use crate::{ - BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, Example, GLOBAL_SETTINGS, LmError, - LmUsage, PredictError, Predicted, Prediction, SignatureSchema, + BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, GLOBAL_SETTINGS, LmError, LmUsage, + PredictError, Predicted, Prediction, SignatureSchema, }; +use crate::data::example::Example as RawExample; /// A typed input/output pair for few-shot prompting. /// @@ -23,19 +24,19 @@ use crate::{ /// use dspy_rs::*; /// use dspy_rs::doctest::*; /// -/// let demo = Demo::::new( +/// let example = Example::::new( /// QAInput { question: "What is 2+2?".into() }, /// QAOutput { answer: "4".into() }, /// ); /// ``` -#[derive(facet::Facet)] +#[derive(Clone, Debug, facet::Facet)] #[facet(crate = facet)] -pub struct Demo { +pub struct Example { pub input: S::Input, pub output: S::Output, } -impl Demo { +impl Example { pub fn new(input: S::Input, output: S::Output) -> Self { Self { input, output } } @@ -71,7 +72,7 @@ where /// This is a workaround — ideally the type system would handle it, but Facet doesn't /// yet support shape-local typed attr payloads on generic containers. If you construct /// a `Predict` without going through `new()`/`build()` (e.g. via unsafe or manual -/// field init), [`named_parameters`](crate::named_parameters) will error when it finds +/// field init), `named_parameters` will error when it finds /// the unregistered leaf. /// /// ```no_run @@ -86,7 +87,7 @@ where /// /// // With demos and custom instruction /// let predict = Predict::::builder() -/// .demo(Demo::new( +/// .demo(Example::new( /// QAInput { question: "What is 1+1?".into() }, /// QAOutput { answer: "2".into() }, /// )) @@ -101,13 +102,18 @@ pub struct Predict { #[facet(skip, opaque)] tools: Vec>, #[facet(skip, opaque)] - demos: Vec>, + demos: Vec>, instruction_override: Option, #[facet(skip, opaque)] _marker: PhantomData, } impl Predict { + /// Creates a new `Predict` with no demos, no instruction override, and no tools. + /// + /// Registers the accessor function for this concrete `Predict` type so the + /// optimizer walker can discover it. See the struct-level doc on construction + /// side effects. pub fn new() -> Self { register_predict_accessor( >::SHAPE, @@ -121,10 +127,15 @@ impl Predict { } } + /// Returns a builder for configuring demos, instruction, and tools. pub fn builder() -> PredictBuilder { PredictBuilder::new() } + /// Calls the LM with this predictor's signature, demos, and tools. + /// + /// Delegates to [`forward`](Predict::forward). Both exist for symmetry with the + /// [`Module`] trait; `call` is what you use, `forward` is the implementation. #[tracing::instrument( name = "dsrs.predict.call", level = "debug", @@ -145,6 +156,20 @@ impl Predict { self.forward(input).await } + /// Builds the prompt, calls the LM, and parses the response. + /// + /// The full pipeline: + /// 1. Format system message from the signature's schema and instruction override + /// 2. Format demo examples as user/assistant exchanges + /// 3. Format the input as the final user message + /// 4. Call the LM (with any tools attached) + /// 5. Parse the response into `S::Output` via the `[[ ## field ## ]]` protocol + /// 6. Record a trace node if inside a [`trace()`](crate::trace::trace) scope + /// + /// # Errors + /// + /// - [`PredictError::Lm`] if the LM call fails (network, rate limit, timeout) + /// - [`PredictError::Parse`] if the response can't be parsed into the output fields pub async fn forward(&self, input: S::Input) -> Result, PredictError> where S::Input: BamlType, @@ -308,7 +333,7 @@ impl Default for Predict { /// ``` pub struct PredictBuilder { tools: Vec>, - demos: Vec>, + demos: Vec>, instruction_override: Option, _marker: PhantomData, } @@ -323,31 +348,37 @@ impl PredictBuilder { } } - pub fn demo(mut self, demo: Demo) -> Self { + /// Adds a single demo (few-shot example) to the predictor. + pub fn demo(mut self, demo: Example) -> Self { self.demos.push(demo); self } - pub fn with_demos(mut self, demos: impl IntoIterator>) -> Self { + /// Adds multiple demos from an iterator. + pub fn with_demos(mut self, demos: impl IntoIterator>) -> Self { self.demos.extend(demos); self } + /// Adds a tool the LM can invoke during this call. pub fn add_tool(mut self, tool: impl ToolDyn + 'static) -> Self { self.tools.push(Arc::new(tool)); self } + /// Adds multiple tools from an iterator. pub fn with_tools(mut self, tools: impl IntoIterator>) -> Self { self.tools.extend(tools); self } + /// Overrides the signature's default instruction for this predictor. pub fn instruction(mut self, instruction: impl Into) -> Self { self.instruction_override = Some(instruction.into()); self } + /// Builds the [`Predict`] and registers its accessor for optimizer discovery. pub fn build(self) -> Predict { register_predict_accessor( as facet::Facet<'static>>::SHAPE, @@ -377,7 +408,7 @@ fn baml_map_from_example_keys( Ok(map) } -fn input_keys_for_signature(example: &Example) -> Vec { +fn input_keys_for_signature(example: &RawExample) -> Vec { if example.input_keys.is_empty() { S::schema() .input_fields() @@ -389,7 +420,7 @@ fn input_keys_for_signature(example: &Example) -> Vec { } } -fn output_keys_for_signature(example: &Example) -> Vec { +fn output_keys_for_signature(example: &RawExample) -> Vec { if example.output_keys.is_empty() { S::schema() .output_fields() @@ -401,7 +432,7 @@ fn output_keys_for_signature(example: &Example) -> Vec { } } -fn input_from_example(example: &Example) -> Result +fn input_from_raw_example(example: &RawExample) -> Result where S::Input: BamlType, { @@ -411,7 +442,7 @@ where S::Input::try_from_baml_value(baml_value).map_err(|err| anyhow::anyhow!(err)) } -fn output_from_example(example: &Example) -> Result +fn output_from_raw_example(example: &RawExample) -> Result where S::Output: BamlType, { @@ -421,23 +452,23 @@ where S::Output::try_from_baml_value(baml_value).map_err(|err| anyhow::anyhow!(err)) } -fn demo_from_example(example: Example) -> Result> +fn typed_example_from_raw(example: RawExample) -> Result> where S::Input: BamlType, S::Output: BamlType, { - let input = input_from_example::(&example)?; - let output = output_from_example::(&example)?; - Ok(Demo::new(input, output)) + let input = input_from_raw_example::(&example)?; + let output = output_from_raw_example::(&example)?; + Ok(Example::new(input, output)) } -fn example_from_demo(demo: &Demo) -> Result +fn raw_example_from_typed(example: &Example) -> Result where S::Input: BamlType, S::Output: BamlType, { - let input_value = serde_json::to_value(demo.input.to_baml_value())?; - let output_value = serde_json::to_value(demo.output.to_baml_value())?; + let input_value = serde_json::to_value(example.input.to_baml_value())?; + let output_value = serde_json::to_value(example.output.to_baml_value())?; let input_map = input_value .as_object() @@ -455,7 +486,7 @@ where data.extend(input_map); data.extend(output_map); - Ok(Example::new(data, input_keys, output_keys)) + Ok(RawExample::new(data, input_keys, output_keys)) } fn prediction_from_output( @@ -523,19 +554,20 @@ where self.instruction_override = Some(instruction); } - fn demos_as_examples(&self) -> Vec { + fn demos_as_examples(&self) -> Vec { self.demos .iter() - .map(|demo| { - example_from_demo::(demo).expect("typed Predict demo conversion should succeed") + .map(|example| { + raw_example_from_typed::(example) + .expect("typed Predict demo conversion should succeed") }) .collect() } - fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()> { + fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()> { self.demos = demos .into_iter() - .map(demo_from_example::) + .map(typed_example_from_raw::) .collect::>>()?; Ok(()) } @@ -553,3 +585,79 @@ where Ok(()) } } + +#[cfg(test)] +mod tests { + use super::*; + use serde_json::json; + + #[derive(crate::Signature, Clone, Debug)] + struct PredictConversionSig { + #[input] + prompt: String, + + #[output] + answer: String, + } + + fn typed_row(prompt: &str, answer: &str) -> Example { + Example::new( + PredictConversionSigInput { + prompt: prompt.to_string(), + }, + PredictConversionSigOutput { + answer: answer.to_string(), + }, + ) + } + + #[test] + fn typed_and_raw_example_round_trip_preserves_fields() { + let typed = typed_row("question", "response"); + let raw = raw_example_from_typed::(&typed) + .expect("typed example should convert to raw example"); + + assert_eq!(raw.input_keys, vec!["prompt".to_string()]); + assert_eq!(raw.output_keys, vec!["answer".to_string()]); + assert_eq!(raw.data.get("prompt"), Some(&json!("question"))); + assert_eq!(raw.data.get("answer"), Some(&json!("response"))); + + let round_trip = typed_example_from_raw::(raw) + .expect("raw example should convert back to typed example"); + assert_eq!(round_trip.input.prompt, "question"); + assert_eq!(round_trip.output.answer, "response"); + } + + #[test] + fn typed_example_from_raw_uses_schema_keys_when_key_lists_missing() { + let raw = RawExample::new( + HashMap::from([ + ("prompt".to_string(), json!("schema-input")), + ("answer".to_string(), json!("schema-output")), + ]), + Vec::new(), + Vec::new(), + ); + + let typed = typed_example_from_raw::(raw) + .expect("schema key fallback should parse typed example"); + assert_eq!(typed.input.prompt, "schema-input"); + assert_eq!(typed.output.answer, "schema-output"); + } + + #[test] + fn dyn_predictor_set_demos_from_examples_round_trips_raw_rows() { + let typed = typed_row("demo-input", "demo-output"); + let raw = raw_example_from_typed::(&typed) + .expect("typed demo should convert to raw demo"); + let mut predictor = Predict::::new(); + + DynPredictor::set_demos_from_examples(&mut predictor, vec![raw]) + .expect("predictor should accept raw demos"); + + let demos = DynPredictor::demos_as_examples(&predictor); + assert_eq!(demos.len(), 1); + assert_eq!(demos[0].data.get("prompt"), Some(&json!("demo-input"))); + assert_eq!(demos[0].data.get("answer"), Some(&json!("demo-output"))); + } +} diff --git a/crates/dspy-rs/src/trace/context.rs b/crates/dspy-rs/src/trace/context.rs index 1950ac81..fdf550bc 100644 --- a/crates/dspy-rs/src/trace/context.rs +++ b/crates/dspy-rs/src/trace/context.rs @@ -9,6 +9,12 @@ task_local! { } #[tracing::instrument(name = "dsrs.trace.scope", level = "debug", skip(f))] +/// Runs an async closure while recording all [`Predict`](crate::Predict) calls into a +/// computation [`Graph`]. +/// +/// Returns the closure's result and the recorded graph. Uses `tokio::task_local!` for +/// scoping — only calls on the same task see the trace context. Spawned subtasks +/// will NOT be traced unless they inherit the task-local. pub async fn trace(f: F) -> (R, Graph) where F: FnOnce() -> Fut, @@ -32,14 +38,23 @@ where (result, graph) } +/// Returns `true` if the current task is inside a [`trace()`] scope. +/// +/// Used internally by [`Predict`](crate::Predict) to decide whether to record nodes. +/// You can also use it to conditionally enable expensive debug logging. pub fn is_tracing() -> bool { CURRENT_TRACE.try_with(|_| ()).is_ok() } +/// Records a node in the current trace graph. Returns the node ID, or `None` if +/// not inside a [`trace()`] scope. +/// +/// Called internally by [`Predict::forward`](crate::Predict) — you don't call this directly +/// unless you're implementing a custom module that needs trace integration. pub fn record_node( node_type: NodeType, inputs: Vec, - input_data: Option, + input_data: Option, ) -> Option { let input_count = inputs.len(); let has_input_data = input_data.is_some(); @@ -59,6 +74,10 @@ pub fn record_node( .unwrap_or(None) } +/// Attaches output data to a previously recorded trace node. +/// +/// Called internally after a [`Predict`](crate::Predict) call completes. No-op if +/// not inside a [`trace()`] scope. pub fn record_output(node_id: usize, output: Prediction) { let _ = CURRENT_TRACE.try_with(|trace| { let mut graph = trace.lock().unwrap(); diff --git a/crates/dspy-rs/src/trace/dag.rs b/crates/dspy-rs/src/trace/dag.rs index 2e5c9524..3a98e7ea 100644 --- a/crates/dspy-rs/src/trace/dag.rs +++ b/crates/dspy-rs/src/trace/dag.rs @@ -1,19 +1,25 @@ -use crate::{Example, Prediction}; +use crate::{Prediction, RawExample}; use std::fmt; +/// The kind of operation a trace node represents. #[derive(Clone)] pub enum NodeType { - Root, // Initial input + /// The entry point — holds the initial input data. + Root, + /// An LM call through [`Predict`](crate::Predict). Predict { + /// The `type_name::()` of the signature. signature_name: String, }, + /// A user-defined operation (custom module logic between Predict calls). Operator { + /// Human-readable name for the operation. name: String, }, + /// A field-level data routing between nodes. + /// + /// Each entry maps an output field name to `(source_node_id, source_field_name)`. Map { - // Describes: for each field in output, where does it come from? - // Key: output field name - // Value: (Node Index, input field name) mapping: Vec<(String, (usize, String))>, }, } @@ -32,13 +38,23 @@ impl fmt::Debug for NodeType { } } +/// A single node in the execution trace graph. +/// +/// Nodes are created by [`record_node`](crate::trace::record_node) during a +/// [`trace()`](crate::trace::trace) scope. Each node has a type, links to parent +/// nodes (inputs), and optionally captures the output data. #[derive(Clone)] pub struct Node { + /// Unique ID within this graph (assigned sequentially). pub id: usize, + /// What kind of operation this node represents. pub node_type: NodeType, - pub inputs: Vec, // IDs of parent nodes + /// IDs of parent nodes whose outputs feed into this node. + pub inputs: Vec, + /// The output produced by this node (set after execution completes). pub output: Option, - pub input_data: Option, + /// The input data passed to this node (for Root nodes). + pub input_data: Option, } impl fmt::Debug for Node { @@ -53,8 +69,17 @@ impl fmt::Debug for Node { } } +/// A directed acyclic graph of execution trace nodes. +/// +/// Built incrementally during a [`trace()`](crate::trace::trace) scope as each +/// [`Predict`](crate::Predict) call records itself. Nodes are stored in insertion +/// order, which is topological order by construction (a node is always recorded +/// after its inputs). +/// +/// This is a record of what actually happened, not a mutable program topology. #[derive(Debug, Clone, Default)] pub struct Graph { + /// Nodes in insertion (topological) order. pub nodes: Vec, } @@ -63,11 +88,15 @@ impl Graph { Self::default() } + /// Appends a node and returns its ID. + /// + /// The ID is the node's index in the `nodes` vec. IDs in `inputs` must refer + /// to previously added nodes (this is not validated — the graph trusts the caller). pub fn add_node( &mut self, node_type: NodeType, inputs: Vec, - input_data: Option, + input_data: Option, ) -> usize { let id = self.nodes.len(); self.nodes.push(Node { diff --git a/crates/dspy-rs/src/trace/executor.rs b/crates/dspy-rs/src/trace/executor.rs index 1fe3fe03..65071106 100644 --- a/crates/dspy-rs/src/trace/executor.rs +++ b/crates/dspy-rs/src/trace/executor.rs @@ -1,8 +1,17 @@ use crate::trace::dag::{Graph, NodeType}; -use crate::{Example, Prediction}; +use crate::{Prediction, RawExample}; use anyhow::Result; use std::collections::HashMap; +/// Replays a traced execution graph with new input data. +/// +/// Takes a [`Graph`] captured by [`trace()`](crate::trace::trace) and re-runs it with +/// a new root input to see how data flows through a pipeline with different inputs. +/// +/// Only `Root` and `Map` nodes produce useful output right now — `Predict` nodes +/// can't replay because the signature type isn't stored in the trace (they'll error), +/// and `Operator` nodes are skipped. This covers data-routing inspection but not +/// full program replay. Returns the output of the last node only. pub struct Executor { pub graph: Graph, } @@ -12,32 +21,15 @@ impl Executor { Self { graph } } - pub async fn execute(&self, root_input: Example) -> Result> { - // Simple execution: assume graph nodes are in topological order (which they are by construction of trace) - // Store outputs of each node + pub async fn execute(&self, root_input: RawExample) -> Result> { let mut node_outputs: HashMap = HashMap::new(); - // Store input example for root node 0 (if valid) - // Actually, Root node 0 usually contains the input data from trace. - // If we want to run with NEW input, we replace Root's data. - - // We will return the output of the *last* node(s), or just all predictions? - // Usually we want the leaf nodes. for node in &self.graph.nodes { match &node.node_type { NodeType::Root => { - // For root, we use the provided root_input - // But wait, the graph might have multiple roots or specific inputs? - // For simplicity, assume node 0 is the main root and takes root_input. - // Or we check if node.id == 0. + // Node 0 gets the caller-supplied input; other Root nodes use + // their captured input_data (constants from the original trace). if node.id == 0 { - // Creating a "Prediction" that just holds the input data, so downstream nodes can read it. - // Wait, Prediction structure is for outputs. - // But Map nodes read from "Prediction" or "Example"? - // Map inputs come from `TrackedValue`, which stores (node_id, key). - // If node_id points to Root, we need to get data from Root. - // We can synthesize a Prediction from Example data for uniform access. - let pred = Prediction::from( root_input .data @@ -46,17 +38,14 @@ impl Executor { .collect::>(), ); node_outputs.insert(node.id, pred); - } else { - // Other roots? maybe constants? - if let Some(data) = &node.input_data { - let pred = Prediction::from( - data.data - .iter() - .map(|(k, v)| (k.clone(), v.clone())) - .collect::>(), - ); - node_outputs.insert(node.id, pred); - } + } else if let Some(data) = &node.input_data { + let pred = Prediction::from( + data.data + .iter() + .map(|(k, v)| (k.clone(), v.clone())) + .collect::>(), + ); + node_outputs.insert(node.id, pred); } } NodeType::Predict { signature_name } => { @@ -65,17 +54,13 @@ impl Executor { )); } NodeType::Map { mapping } => { - // Execute the mapping - // We create a new "Prediction" (acting as data container) based on sources. let mut data = HashMap::new(); - for (output_key, (source_node_id, source_key)) in mapping { if let Some(source_pred) = node_outputs.get(source_node_id) { let val = source_pred.get(source_key, None); data.insert(output_key.clone(), val); } } - let result = Prediction::from( data.iter() .map(|(k, v)| (k.clone(), v.clone())) @@ -83,14 +68,10 @@ impl Executor { ); node_outputs.insert(node.id, result); } - NodeType::Operator { .. } => { - // Not implemented yet - } + NodeType::Operator { .. } => {} } } - // Return the output of the last node? or all Predict outputs? - // Let's return the output of the last node in the list. if let Some(last_node) = self.graph.nodes.last() && let Some(output) = node_outputs.get(&last_node.id) { diff --git a/crates/dspy-rs/src/trace/mod.rs b/crates/dspy-rs/src/trace/mod.rs index 623ac137..ff12a365 100644 --- a/crates/dspy-rs/src/trace/mod.rs +++ b/crates/dspy-rs/src/trace/mod.rs @@ -1,3 +1,18 @@ +//! Execution graph recording for debugging and inspection. +//! +//! Wrap a module call in [`trace()`] to capture a DAG of every [`Predict`](crate::Predict) +//! invocation, with inputs and outputs at each node. The trace is scoped — only calls +//! within the closure are recorded. The resulting [`Graph`] can be inspected or replayed +//! via the [`Executor`]. +//! +//! ```ignore +//! let (result, graph) = dspy_rs::trace::trace(|| module.call(input)).await; +//! println!("{} nodes recorded", graph.nodes.len()); +//! ``` +//! +//! This is a debugging tool, not a performance tool. The `Mutex` inside the +//! trace scope adds synchronization overhead. Don't trace in production hot paths. + pub mod context; pub mod dag; pub mod executor; diff --git a/crates/dspy-rs/src/utils/cache.rs b/crates/dspy-rs/src/utils/cache.rs index f2d249b6..866c8cf0 100644 --- a/crates/dspy-rs/src/utils/cache.rs +++ b/crates/dspy-rs/src/utils/cache.rs @@ -7,24 +7,40 @@ use tempfile; use tokio::sync::mpsc; use tracing::{debug, trace, warn}; -use crate::{Example, Prediction}; +use crate::{Prediction, RawExample}; type CacheKey = Vec<(String, Value)>; +/// A cached prompt-response pair. #[derive(Clone, Debug, Serialize, Deserialize)] pub struct CacheEntry { + /// The formatted prompt that was sent to the LM. pub prompt: String, + /// The parsed prediction from the LM response. pub prediction: Prediction, } +/// Interface for LM response caching. +/// +/// Implemented by [`ResponseCache`]. The `insert` method takes a channel receiver +/// because the cache entry is produced asynchronously — the LM sends the entry +/// after the response is parsed, allowing the cache to be populated without +/// blocking the call return. #[async_trait] pub trait Cache: Send + Sync { async fn new() -> Self; - async fn get(&self, key: Example) -> Result>; - async fn insert(&mut self, key: Example, rx: mpsc::Receiver) -> Result<()>; + async fn get(&self, key: RawExample) -> Result>; + async fn insert(&mut self, key: RawExample, rx: mpsc::Receiver) -> Result<()>; async fn get_history(&self, n: usize) -> Result>; } +/// Hybrid memory + disk LM response cache. +/// +/// Uses [foyer](https://docs.rs/foyer) with 256MB memory and 1GB disk (in a +/// temp directory). Maintains a sliding window of the 100 most recent entries +/// for [`inspect_history`](crate::LM::inspect_history). +/// +/// Created automatically by [`LM`](crate::LM) — you don't construct this directly. #[derive(Clone)] pub struct ResponseCache { handler: HybridCache, @@ -68,7 +84,7 @@ impl Cache for ResponseCache { skip(self, key), fields(key_fields = key.data.len()) )] - async fn get(&self, key: Example) -> Result> { + async fn get(&self, key: RawExample) -> Result> { let key = key.into_iter().collect::(); let value = self.handler.get(&key).await?.map(|v| v.value().clone()); @@ -83,7 +99,7 @@ impl Cache for ResponseCache { skip(self, key, rx), fields(key_fields = key.data.len(), window_size = self.window_size) )] - async fn insert(&mut self, key: Example, mut rx: mpsc::Receiver) -> Result<()> { + async fn insert(&mut self, key: RawExample, mut rx: mpsc::Receiver) -> Result<()> { let key = key.into_iter().collect::(); let Some(value) = rx.recv().await else { warn!("cache insert channel closed before receiving entry"); diff --git a/crates/dspy-rs/src/utils/mod.rs b/crates/dspy-rs/src/utils/mod.rs index c90bab92..9462711b 100644 --- a/crates/dspy-rs/src/utils/mod.rs +++ b/crates/dspy-rs/src/utils/mod.rs @@ -1,3 +1,12 @@ +//! LM response caching. +//! +//! The [`ResponseCache`] provides a hybrid memory + disk cache backed by +//! [foyer](https://docs.rs/foyer). It also maintains a sliding window of recent +//! entries for [`LM::inspect_history`](crate::LM::inspect_history). +//! +//! Caching is per-LM-instance and keyed on the full prompt content. Cache entries +//! are not shared across LM instances. + pub mod cache; pub mod serde_utils; pub mod telemetry; diff --git a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs index e8e6b214..c07a4a43 100644 --- a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs +++ b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs @@ -1,7 +1,8 @@ use dspy_rs::{ ChainOfThought, ChatAdapter, LM, LMClient, Module, Predict, Reasoning, Signature, - TestCompletionModel, WithReasoning, configure, named_parameters, + TestCompletionModel, WithReasoning, configure, }; +use facet; use rig::completion::AssistantContent; use rig::message::Text; use std::sync::LazyLock; @@ -40,8 +41,8 @@ async fn configure_test_lm(responses: Vec) { configure(lm, ChatAdapter {}); } -#[derive(Signature, Clone, Debug, PartialEq, dspy_rs::__macro_support::bamltype::facet::Facet)] -#[facet(crate = dspy_rs::__macro_support::bamltype::facet)] +#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] +#[facet(crate = facet)] struct QA { #[input] question: String, @@ -76,15 +77,3 @@ async fn chain_of_thought_swaps_and_returns_with_reasoning() { let _predict = Predict::>::new(); } - -#[test] -fn chain_of_thought_named_parameters_exposes_predictor() { - let mut cot = ChainOfThought::::new(); - let mut params = named_parameters(&mut cot).expect("walker should expose predictor"); - - assert_eq!(params.len(), 1); - assert_eq!(params[0].0, "predictor".to_string()); - - params[0].1.set_instruction("updated instruction".to_string()); - assert_eq!(params[0].1.instruction(), "updated instruction"); -} diff --git a/crates/dspy-rs/tests/test_evaluate_trainset_typed.rs b/crates/dspy-rs/tests/test_evaluate_trainset_typed.rs new file mode 100644 index 00000000..95e3f26b --- /dev/null +++ b/crates/dspy-rs/tests/test_evaluate_trainset_typed.rs @@ -0,0 +1,113 @@ +use anyhow::{Result, anyhow}; +use dspy_rs::{ + CallMetadata, Example, MetricOutcome, Module, PredictError, Predicted, Signature, TypedMetric, + average_score, evaluate_trainset, +}; +use std::sync::{Arc, Mutex}; + +#[derive(Signature, Clone, Debug)] +struct EvalSig { + #[input] + prompt: String, + + #[output] + answer: String, +} + +struct EchoModule; + +impl Module for EchoModule { + type Input = EvalSigInput; + type Output = EvalSigOutput; + + async fn forward(&self, input: EvalSigInput) -> Result, PredictError> { + Ok(Predicted::new( + EvalSigOutput { + answer: input.prompt, + }, + CallMetadata::default(), + )) + } +} + +struct RecordingMetric { + seen_answers: Arc>>, +} + +impl TypedMetric for RecordingMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted<::Output>, + ) -> Result { + self.seen_answers + .lock() + .expect("metric lock should not be poisoned") + .push(prediction.answer.clone()); + + let score = (prediction.answer == example.output.answer) as u8 as f32; + Ok(MetricOutcome::score(score)) + } +} + +struct FailingMetric; + +impl TypedMetric for FailingMetric { + async fn evaluate( + &self, + _example: &Example, + _prediction: &Predicted<::Output>, + ) -> Result { + Err(anyhow!("typed metric failure")) + } +} + +fn trainset() -> Vec> { + vec![ + Example::new( + EvalSigInput { + prompt: "one".to_string(), + }, + EvalSigOutput { + answer: "one".to_string(), + }, + ), + Example::new( + EvalSigInput { + prompt: "two".to_string(), + }, + EvalSigOutput { + answer: "two".to_string(), + }, + ), + ] +} + +#[tokio::test] +async fn evaluate_trainset_runs_typed_rows_and_metric() { + let seen_answers = Arc::new(Mutex::new(Vec::new())); + let metric = RecordingMetric { + seen_answers: Arc::clone(&seen_answers), + }; + + let outcomes = evaluate_trainset::(&EchoModule, &trainset(), &metric) + .await + .expect("typed evaluate_trainset should succeed"); + + assert_eq!(outcomes.len(), 2); + assert_eq!(average_score(&outcomes), 1.0); + + let seen = seen_answers + .lock() + .expect("metric lock should not be poisoned"); + assert_eq!(seen.as_slice(), ["one", "two"]); +} + +#[tokio::test] +async fn evaluate_trainset_propagates_typed_metric_errors() { + let err = evaluate_trainset::(&EchoModule, &trainset(), &FailingMetric) + .await + .expect_err("typed metric errors should propagate"); + + assert!(err.to_string().contains("typed metric failure")); +} diff --git a/crates/dspy-rs/tests/test_flatten_roundtrip.rs b/crates/dspy-rs/tests/test_flatten_roundtrip.rs index e9857ce9..78874ff9 100644 --- a/crates/dspy-rs/tests/test_flatten_roundtrip.rs +++ b/crates/dspy-rs/tests/test_flatten_roundtrip.rs @@ -1,4 +1,4 @@ -use dspy_rs::{Augmented, ChatAdapter, Demo, Message, Reasoning, Signature, WithReasoning}; +use dspy_rs::{Augmented, ChatAdapter, Example, Message, Reasoning, Signature, WithReasoning}; #[derive(Signature, Clone, Debug)] struct QA { @@ -12,7 +12,7 @@ struct QA { #[test] fn augmented_demo_roundtrips_through_adapter() { let adapter = ChatAdapter; - let demo = Demo::>::new( + let demo = Example::>::new( QAInput { question: "What is 2+2?".to_string(), }, diff --git a/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs b/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs index 2a77389b..ca7c392d 100644 --- a/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs +++ b/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs @@ -1,11 +1,9 @@ use anyhow::Result; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ - CallMetadata, DynPredictor, Example, FeedbackMetric, GEPA, MetricOutcome, Module, Optimizer, - Predict, PredictError, Predicted, Signature, TypedMetric, + CallMetadata, Example, FeedbackMetric, GEPA, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, }; -use serde_json::json; -use std::collections::HashMap; use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, Mutex}; @@ -30,11 +28,13 @@ impl Module for InstructionEchoModule { async fn forward( &self, - _input: OptimizerSigInput, + input: OptimizerSigInput, ) -> Result, PredictError> { - let answer = as DynPredictor>::instruction(&self.predictor); + let _ = &self.predictor; Ok(Predicted::new( - OptimizerSigOutput { answer }, + OptimizerSigOutput { + answer: input.prompt, + }, CallMetadata::default(), )) } @@ -42,10 +42,10 @@ impl Module for InstructionEchoModule { struct FeedbackMetricImpl; -impl TypedMetric for FeedbackMetricImpl { +impl TypedMetric for FeedbackMetricImpl { async fn evaluate( &self, - _example: &Example, + _example: &Example, prediction: &Predicted, ) -> Result { let score = prediction.answer.len() as f32; @@ -58,10 +58,10 @@ impl TypedMetric for FeedbackMetricImpl { struct ScoreOnlyMetric; -impl TypedMetric for ScoreOnlyMetric { +impl TypedMetric for ScoreOnlyMetric { async fn evaluate( &self, - _example: &Example, + _example: &Example, prediction: &Predicted, ) -> Result { Ok(MetricOutcome::score(prediction.answer.len() as f32)) @@ -70,20 +70,15 @@ impl TypedMetric for ScoreOnlyMetric { struct PartialFeedbackMetric; -impl TypedMetric for PartialFeedbackMetric { +impl TypedMetric for PartialFeedbackMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { let score = prediction.answer.len() as f32; - let prompt = example - .data - .get("prompt") - .and_then(|value| value.as_str()) - .unwrap_or_default(); - if prompt == "one" { + if example.input.prompt == "one" { Ok(MetricOutcome::with_feedback( score, FeedbackMetric::new(score, "only first example has feedback"), @@ -108,10 +103,10 @@ impl FeedbackThenScoreMetric { } } -impl TypedMetric for FeedbackThenScoreMetric { +impl TypedMetric for FeedbackThenScoreMetric { async fn evaluate( &self, - _example: &Example, + _example: &Example, prediction: &Predicted, ) -> Result { let call_index = self.calls.fetch_add(1, Ordering::SeqCst); @@ -131,18 +126,13 @@ struct RecordingFeedbackMetric { seen_prompts: Arc>>, } -impl TypedMetric for RecordingFeedbackMetric { +impl TypedMetric for RecordingFeedbackMetric { async fn evaluate( &self, - example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { - let prompt = example - .data - .get("prompt") - .and_then(|value| value.as_str()) - .unwrap_or_default() - .to_string(); + let prompt = example.input.prompt.clone(); self.seen_prompts .lock() .expect("metric lock should not be poisoned") @@ -160,37 +150,35 @@ impl TypedMetric for RecordingFeedbackMetric { } } -fn trainset() -> Vec { +fn trainset() -> Vec> { vec![ Example::new( - HashMap::from([("prompt".to_string(), json!("one"))]), - vec!["prompt".to_string()], - vec![], + OptimizerSigInput { + prompt: "one".to_string(), + }, + OptimizerSigOutput { + answer: "one".to_string(), + }, ), Example::new( - HashMap::from([("prompt".to_string(), json!("two"))]), - vec!["prompt".to_string()], - vec![], + OptimizerSigInput { + prompt: "two".to_string(), + }, + OptimizerSigOutput { + answer: "two".to_string(), + }, ), ] } -fn trainset_with_invalid_input_keys() -> Vec { +fn valset_for_gepa() -> Vec> { vec![Example::new( - HashMap::from([ - ("prompt".to_string(), json!("one")), - ("wrong_input".to_string(), json!("unused")), - ]), - vec!["wrong_input".to_string()], - vec![], - )] -} - -fn valset_for_gepa() -> Vec { - vec![Example::new( - HashMap::from([("prompt".to_string(), json!("val-only"))]), - vec!["prompt".to_string()], - vec![], + OptimizerSigInput { + prompt: "val-only".to_string(), + }, + OptimizerSigOutput { + answer: "val-only".to_string(), + }, )] } @@ -208,7 +196,7 @@ async fn gepa_compile_succeeds_when_feedback_present() { .build(); let result = optimizer - .compile(&mut module, trainset(), &metric) + .compile::(&mut module, trainset(), &metric) .await .expect("GEPA compile should succeed when feedback is present"); @@ -229,7 +217,7 @@ async fn gepa_compile_fails_without_feedback() { .build(); let err = optimizer - .compile(&mut module, trainset(), &metric) + .compile::(&mut module, trainset(), &metric) .await .expect_err("GEPA should reject score-only metrics"); @@ -251,7 +239,7 @@ async fn gepa_compile_fails_when_feedback_is_partial() { .build(); let err = optimizer - .compile(&mut module, trainset(), &metric) + .compile::(&mut module, trainset(), &metric) .await .expect_err("GEPA should reject partially-populated feedback outcomes"); @@ -260,29 +248,6 @@ async fn gepa_compile_fails_when_feedback_is_partial() { assert!(message.contains("module=`predictor`")); } -#[tokio::test] -async fn gepa_compile_respects_example_input_keys_for_typed_conversion() { - let metric = FeedbackMetricImpl; - let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), - }; - - let optimizer = GEPA::builder() - .num_iterations(1) - .minibatch_size(1) - .build(); - - let err = optimizer - .compile(&mut module, trainset_with_invalid_input_keys(), &metric) - .await - .expect_err("compile should fail when input_keys omits required typed fields"); - - assert!( - err.to_string().contains("prompt"), - "error should mention missing required field: {err}" - ); -} - #[tokio::test] async fn gepa_compile_fails_when_feedback_disappears_during_generation() { // Trainset has two examples and one predictor: @@ -301,7 +266,7 @@ async fn gepa_compile_fails_when_feedback_disappears_during_generation() { .build(); let err = optimizer - .compile(&mut module, trainset(), &metric) + .compile::(&mut module, trainset(), &metric) .await .expect_err("GEPA should fail once feedback becomes unavailable mid-loop"); @@ -311,7 +276,7 @@ async fn gepa_compile_fails_when_feedback_disappears_during_generation() { } #[tokio::test] -async fn gepa_compile_uses_valset_and_tracks_best_outputs_when_enabled() { +async fn gepa_compile_with_valset_uses_valset_and_tracks_best_outputs_when_enabled() { let seen_prompts = Arc::new(Mutex::new(Vec::new())); let metric = RecordingFeedbackMetric { seen_prompts: Arc::clone(&seen_prompts), @@ -325,11 +290,15 @@ async fn gepa_compile_uses_valset_and_tracks_best_outputs_when_enabled() { .num_iterations(0) .minibatch_size(1) .track_best_outputs(true) - .valset(valset.clone()) .build(); let result = optimizer - .compile(&mut module, trainset(), &metric) + .compile_with_valset::( + &mut module, + trainset(), + Some(valset.clone()), + &metric, + ) .await .expect("GEPA compile should succeed with a dedicated valset"); @@ -339,12 +308,70 @@ async fn gepa_compile_uses_valset_and_tracks_best_outputs_when_enabled() { .clone(); assert_eq!(seen, vec!["val-only".to_string()]); assert_eq!(result.highest_score_achieved_per_val_task.len(), valset.len()); - assert_eq!( - result - .best_outputs_valset - .as_ref() - .expect("best outputs should be captured when tracking is enabled") - .len(), - valset.len() + assert!( + result.highest_score_achieved_per_val_task[0] >= 100.0, + "valset-only scoring should dominate, got {:?}", + result.highest_score_achieved_per_val_task + ); + + let best_outputs = result + .best_outputs_valset + .as_ref() + .expect("best outputs should be captured when tracking is enabled"); + assert_eq!(best_outputs.len(), valset.len()); + assert!( + best_outputs[0].to_string().contains("val-only"), + "best valset output should come from valset prompt, got {}", + best_outputs[0] + ); +} + +#[tokio::test] +async fn gepa_compile_respects_max_lm_calls_budget() { + let metric = FeedbackMetricImpl; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(5) + .minibatch_size(2) + .max_lm_calls(2) + .build(); + + let result = optimizer + .compile::(&mut module, trainset(), &metric) + .await + .expect("GEPA compile should succeed under LM call budget"); + + assert!( + result.total_lm_calls <= 2, + "LM call budget should be enforced, got {}", + result.total_lm_calls + ); +} + +#[tokio::test] +async fn gepa_compile_respects_max_rollouts_budget() { + let metric = FeedbackMetricImpl; + let mut module = InstructionEchoModule { + predictor: Predict::::builder().instruction("seed").build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(5) + .minibatch_size(2) + .max_rollouts(2) + .build(); + + let result = optimizer + .compile::(&mut module, trainset(), &metric) + .await + .expect("GEPA compile should succeed under rollout budget"); + + assert!( + result.total_rollouts <= 2, + "rollout budget should be enforced, got {}", + result.total_rollouts ); } diff --git a/crates/dspy-rs/tests/test_lm.rs b/crates/dspy-rs/tests/test_lm.rs index 78c56935..41106d9f 100644 --- a/crates/dspy-rs/tests/test_lm.rs +++ b/crates/dspy-rs/tests/test_lm.rs @@ -1,4 +1,5 @@ -use dspy_rs::{Cache, Chat, DummyLM, Example, LM, LmUsage, Message, hashmap}; +use dspy_rs::data::RawExample; +use dspy_rs::{Cache, Chat, DummyLM, LM, LmUsage, Message, hashmap}; use rstest::*; #[cfg_attr(miri, ignore)] // Miri doesn't support tokio's I/O driver @@ -11,7 +12,7 @@ async fn test_dummy_lm() { Message::user("Hello, world!"), ]); - let example = Example::new( + let example = RawExample::new( hashmap! { "input".to_string() => "test".to_string().into(), }, @@ -140,7 +141,8 @@ async fn test_lm_cache_direct_operations() { unsafe { std::env::set_var("OPENAI_API_KEY", "test"); } - use dspy_rs::{Example, Prediction}; + use dspy_rs::Prediction; + use dspy_rs::data::RawExample; use std::collections::HashMap; // Create LM with cache enabled @@ -163,7 +165,7 @@ async fn test_lm_cache_direct_operations() { "question".to_string(), serde_json::json!("What is the capital of France?"), ); - let key = Example::new(input_data, vec!["question".to_string()], vec![]); + let key = RawExample::new(input_data, vec!["question".to_string()], vec![]); // Initially cache should be empty let cached = cache.lock().await.get(key.clone()).await.unwrap(); @@ -235,7 +237,8 @@ async fn test_cache_with_complex_inputs() { unsafe { std::env::set_var("OPENAI_API_KEY", "test"); } - use dspy_rs::{Example, Prediction}; + use dspy_rs::Prediction; + use dspy_rs::data::RawExample; use std::collections::HashMap; // Create LM with cache enabled @@ -261,7 +264,7 @@ async fn test_cache_with_complex_inputs() { data.insert("format".to_string(), serde_json::json!("detailed")); data.insert("temperature".to_string(), serde_json::json!(0.7)); - let key = Example::new( + let key = RawExample::new( data.clone(), vec![ "context".to_string(), diff --git a/crates/dspy-rs/tests/test_miprov2.rs b/crates/dspy-rs/tests/test_miprov2.rs index ee235432..26ed2282 100644 --- a/crates/dspy-rs/tests/test_miprov2.rs +++ b/crates/dspy-rs/tests/test_miprov2.rs @@ -1,4 +1,4 @@ -use dspy_rs::{BamlValue, Example, MIPROv2, PromptCandidate, PromptingTips, Signature, Trace}; +use dspy_rs::{BamlValue, MIPROv2, PromptCandidate, PromptingTips, Signature, Trace}; use rstest::*; #[derive(Signature, Clone, Debug)] @@ -10,18 +10,16 @@ struct TestSignature { answer: String, } -fn example(question: &str) -> Example { - Example::new( - [("question".to_string(), question.into())].into(), - vec!["question".to_string()], - vec![], - ) +fn input(question: &str) -> TestSignatureInput { + TestSignatureInput { + question: question.to_string(), + } } #[rstest] fn test_trace_formatting() { - let trace = Trace::new( - example("What is 2+2?"), + let trace = Trace::::new( + input("What is 2+2?"), BamlValue::String("4".to_string()), Some(1.0), ); @@ -35,11 +33,8 @@ fn test_trace_formatting() { #[rstest] fn test_trace_formatting_without_score() { - let trace = Trace::new( - example("input"), - BamlValue::String("result".to_string()), - None, - ); + let trace = + Trace::::new(input("input"), BamlValue::String("result".to_string()), None); let formatted = trace.format_for_prompt(); assert!(formatted.contains("Input:")); @@ -66,16 +61,15 @@ fn test_prompting_tips_formatting() { #[rstest] fn test_prompt_candidate_creation() { - let candidate = PromptCandidate::new("Test instruction".to_string(), vec![Example::default()]); + let candidate = PromptCandidate::new("Test instruction".to_string()); assert_eq!(candidate.instruction, "Test instruction"); - assert_eq!(candidate.demos.len(), 1); assert_eq!(candidate.score, 0.0); } #[rstest] fn test_prompt_candidate_with_score() { - let candidate = PromptCandidate::new("test".to_string(), vec![]).with_score(0.85); + let candidate = PromptCandidate::new("test".to_string()).with_score(0.85); assert_eq!(candidate.score, 0.85); } @@ -84,12 +78,8 @@ fn test_miprov2_default_configuration() { let optimizer = MIPROv2::builder().build(); assert_eq!(optimizer.num_candidates, 10); - assert_eq!(optimizer.max_bootstrapped_demos, 3); - assert_eq!(optimizer.max_labeled_demos, 3); assert_eq!(optimizer.num_trials, 20); assert_eq!(optimizer.minibatch_size, 25); - assert_eq!(optimizer.temperature, 1.0); - assert!(optimizer.track_stats); } #[rstest] @@ -97,9 +87,9 @@ fn test_select_best_traces_descending_order() { let optimizer = MIPROv2::builder().build(); let traces = vec![ - Trace::new(Example::default(), BamlValue::String("a".to_string()), Some(0.1)), - Trace::new(Example::default(), BamlValue::String("b".to_string()), Some(0.5)), - Trace::new(Example::default(), BamlValue::String("c".to_string()), Some(0.3)), + Trace::::new(input("a"), BamlValue::String("a".to_string()), Some(0.1)), + Trace::::new(input("b"), BamlValue::String("b".to_string()), Some(0.5)), + Trace::::new(input("c"), BamlValue::String("c".to_string()), Some(0.3)), ]; let best = optimizer.select_best_traces(&traces, 2); @@ -113,8 +103,8 @@ fn test_select_best_traces_ignores_none_scores() { let optimizer = MIPROv2::builder().build(); let traces = vec![ - Trace::new(Example::default(), BamlValue::String("a".to_string()), None), - Trace::new(Example::default(), BamlValue::String("b".to_string()), Some(0.8)), + Trace::::new(input("a"), BamlValue::String("a".to_string()), None), + Trace::::new(input("b"), BamlValue::String("b".to_string()), Some(0.8)), ]; let best = optimizer.select_best_traces(&traces, 2); @@ -123,22 +113,16 @@ fn test_select_best_traces_ignores_none_scores() { } #[rstest] -fn test_create_prompt_candidates_uses_best_trace_examples() { - let optimizer = MIPROv2::builder().max_labeled_demos(1).build(); - - let traces = vec![ - Trace::new(example("Q1"), BamlValue::String("A1".to_string()), Some(0.2)), - Trace::new(example("Q2"), BamlValue::String("A2".to_string()), Some(0.9)), - ]; - - let candidates = optimizer.create_prompt_candidates( - vec!["instruction-1".to_string(), "instruction-2".to_string()], - &traces, - ); +fn test_create_prompt_candidates_uses_all_instructions() { + let optimizer = MIPROv2::builder().build(); + let candidates = optimizer.create_prompt_candidates(vec![ + "instruction-1".to_string(), + "instruction-2".to_string(), + ]); assert_eq!(candidates.len(), 2); - assert_eq!(candidates[0].demos.len(), 1); - assert_eq!(candidates[0].demos[0].data.get("question"), Some(&"Q2".into())); + assert_eq!(candidates[0].instruction, "instruction-1"); + assert_eq!(candidates[1].instruction, "instruction-2"); } #[rstest] diff --git a/crates/dspy-rs/tests/test_module_facet_shapes.rs b/crates/dspy-rs/tests/test_module_facet_shapes.rs index 33224c49..c061b4ba 100644 --- a/crates/dspy-rs/tests/test_module_facet_shapes.rs +++ b/crates/dspy-rs/tests/test_module_facet_shapes.rs @@ -1,5 +1,5 @@ -use dspy_rs::__macro_support::bamltype::facet::{self, Type, UserType}; use dspy_rs::{ChainOfThought, Facet, ModuleExt, PredictError, ReAct, Signature}; +use facet::{self, Type, UserType}; #[derive(Signature, Clone, Debug, facet::Facet)] #[facet(crate = facet)] diff --git a/crates/dspy-rs/tests/test_named_parameters.rs b/crates/dspy-rs/tests/test_named_parameters.rs deleted file mode 100644 index 93b442f1..00000000 --- a/crates/dspy-rs/tests/test_named_parameters.rs +++ /dev/null @@ -1,182 +0,0 @@ -use std::collections::HashMap; - -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{ChainOfThought, Example, Predict, Signature, named_parameters}; -use serde_json::json; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct MultiLeafInner { - second: Predict, - third: Predict, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct MultiLeafModule { - first: Predict, - nested: MultiLeafInner, - fourth: Predict, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct StateRoundtripModule { - predictor: Predict, -} - -fn qa_demo(question: &str, answer: &str) -> Example { - Example::new( - HashMap::from([ - ("question".to_string(), json!(question)), - ("answer".to_string(), json!(answer)), - ]), - vec!["question".to_string()], - vec!["answer".to_string()], - ) -} - -#[test] -fn named_parameters_chain_of_thought_exposes_predictor_and_mutates_state() { - let mut module = ChainOfThought::::new(); - let mut params = named_parameters(&mut module).expect("walker should find predictor"); - - assert_eq!(params.len(), 1); - assert_eq!(params[0].0, "predictor"); - - params[0] - .1 - .set_instruction("Use short direct answers".to_string()); - assert_eq!(params[0].1.instruction(), "Use short direct answers"); - assert_eq!(params[0].1.demos_as_examples().len(), 0); - - drop(params); - - let mut roundtrip = named_parameters(&mut module).expect("walker should still succeed"); - let (_, predictor) = roundtrip - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should still be discoverable"); - assert_eq!(predictor.instruction(), "Use short direct answers"); - assert_eq!(predictor.demos_as_examples().len(), 0); -} - -#[test] -fn named_parameters_predict_dump_load_state_roundtrip() { - let mut module = StateRoundtripModule { - predictor: Predict::::new(), - }; - - let saved_state = { - let mut params = named_parameters(&mut module).expect("walker should find predictor"); - let (_, predictor) = params - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should exist"); - predictor.set_instruction("Use short direct answers".to_string()); - predictor - .set_demos_from_examples(vec![qa_demo("What is 2 + 2?", "4")]) - .expect("demo setup should succeed"); - predictor.dump_state() - }; - - let mut params = named_parameters(&mut module).expect("walker should still find predictor"); - let (_, predictor) = params - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should exist"); - predictor.set_instruction("temporary".to_string()); - predictor - .set_demos_from_examples(Vec::new()) - .expect("demo reset should succeed"); - predictor - .load_state(saved_state) - .expect("state roundtrip should succeed"); - - assert_eq!(predictor.instruction(), "Use short direct answers"); - let demos = predictor.demos_as_examples(); - assert_eq!(demos.len(), 1); - assert_eq!( - demos[0].data.get("question"), - Some(&json!("What is 2 + 2?")) - ); - assert_eq!(demos[0].data.get("answer"), Some(&json!("4"))); -} - -#[test] -fn named_parameters_multi_leaf_discovery_order_is_deterministic() { - let mut module = MultiLeafModule { - first: Predict::::new(), - nested: MultiLeafInner { - second: Predict::::new(), - third: Predict::::new(), - }, - fourth: Predict::::new(), - }; - - let expected = vec![ - "first".to_string(), - "nested.second".to_string(), - "nested.third".to_string(), - "fourth".to_string(), - ]; - - for _ in 0..32 { - let names = named_parameters(&mut module) - .expect("walker should find all leaves") - .into_iter() - .map(|(name, _)| name) - .collect::>(); - assert_eq!(names, expected); - } -} - -#[test] -fn named_parameters_dump_load_is_idempotent_across_multiple_roundtrips() { - let mut module = StateRoundtripModule { - predictor: Predict::::new(), - }; - - let first_dump = { - let mut params = named_parameters(&mut module).expect("walker should find predictor"); - let (_, predictor) = params - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should exist"); - predictor.set_instruction("first-pass".to_string()); - predictor - .set_demos_from_examples(vec![qa_demo("Q1", "A1"), qa_demo("Q2", "A2")]) - .expect("demo setup should succeed"); - predictor.dump_state() - }; - - let second_dump = { - let mut params = named_parameters(&mut module).expect("walker should find predictor"); - let (_, predictor) = params - .iter_mut() - .find(|(name, _)| name == "predictor") - .expect("predictor should exist"); - predictor - .load_state(first_dump.clone()) - .expect("loading first state should succeed"); - predictor.dump_state() - }; - - assert_eq!(second_dump.instruction_override, first_dump.instruction_override); - assert_eq!(second_dump.demos.len(), first_dump.demos.len()); - for (actual, expected) in second_dump.demos.iter().zip(first_dump.demos.iter()) { - assert_eq!(actual.data, expected.data); - assert_eq!(actual.input_keys, expected.input_keys); - assert_eq!(actual.output_keys, expected.output_keys); - } -} diff --git a/crates/dspy-rs/tests/test_named_parameters_containers.rs b/crates/dspy-rs/tests/test_named_parameters_containers.rs deleted file mode 100644 index 95585eff..00000000 --- a/crates/dspy-rs/tests/test_named_parameters_containers.rs +++ /dev/null @@ -1,195 +0,0 @@ -use std::collections::HashMap; -use std::rc::Rc; - -use dspy_rs::__macro_support::bamltype::facet; -use dspy_rs::{NamedParametersError, Predict as DsPredict, Signature, named_parameters}; - -#[derive(Signature, Clone, Debug, PartialEq, facet::Facet)] -#[facet(crate = facet)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct ContainerModule { - maybe: Option>, - predictors: Vec>, - by_name: HashMap>, - boxed: Box>, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct OptionalModule { - maybe: Option>, - fallback: DsPredict, -} - -#[test] -fn named_parameters_traverses_supported_containers_with_canonical_paths() { - let mut module = ContainerModule { - maybe: Some(DsPredict::::new()), - predictors: vec![DsPredict::::new()], - by_name: HashMap::from([ - ("z".to_string(), DsPredict::::new()), - ("a'b\\c\n".to_string(), DsPredict::::new()), - ("alpha".to_string(), DsPredict::::new()), - ]), - boxed: Box::new(DsPredict::::new()), - }; - - module.predictors.push(DsPredict::::new()); - - let paths = named_parameters(&mut module) - .expect("containers should be traversed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - assert_eq!( - paths, - vec![ - "maybe".to_string(), - "predictors[0]".to_string(), - "predictors[1]".to_string(), - "by_name['a\\'b\\\\c\\u{A}']".to_string(), - "by_name['alpha']".to_string(), - "by_name['z']".to_string(), - "boxed".to_string(), - ] - ); -} - -#[test] -fn named_parameters_skips_none_option() { - let mut module = OptionalModule { - maybe: None, - fallback: DsPredict::::new(), - }; - - let paths = named_parameters(&mut module) - .expect("none option should not fail") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - assert_eq!(paths, vec!["fallback".to_string()]); -} - -#[test] -fn named_parameters_container_path_order_is_stable_across_runs() { - let mut module = ContainerModule { - maybe: Some(DsPredict::::new()), - predictors: vec![DsPredict::::new(), DsPredict::::new()], - by_name: HashMap::from([ - ("z".to_string(), DsPredict::::new()), - ("a'b\\c\n".to_string(), DsPredict::::new()), - ("alpha".to_string(), DsPredict::::new()), - ]), - boxed: Box::new(DsPredict::::new()), - }; - - let expected_paths = named_parameters(&mut module) - .expect("initial mutable traversal should succeed") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - - for _ in 0..32 { - let mut_paths = named_parameters(&mut module) - .expect("mutable traversal should remain stable") - .into_iter() - .map(|(path, _)| path) - .collect::>(); - assert_eq!(mut_paths, expected_paths); - } -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct RcContainerModule { - predictor: Rc>, -} - -#[test] -fn named_parameters_container_error_for_rc_predict() { - let mut module = RcContainerModule { - predictor: Rc::new(DsPredict::::new()), - }; - - let err = match named_parameters(&mut module) { - Ok(_) => panic!("Rc is not supported for mutable traversal"), - Err(err) => err, - }; - assert_eq!( - err, - NamedParametersError::Container { - path: "predictor".to_string(), - ty: "Rc", - } - ) -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct RcFakePredictModule { - predictor: Rc, -} - -#[test] -fn named_parameters_container_error_for_rc_predict_like_leaf_without_accessor() { - let mut module = RcFakePredictModule { - predictor: Rc::new(Predict { marker: 11 }), - }; - - let err = match named_parameters(&mut module) { - Ok(_) => panic!("Rc should error when pointee is a parameter-like leaf"), - Err(err) => err, - }; - - assert_eq!( - err, - NamedParametersError::Container { - path: "predictor".to_string(), - ty: "Rc", - } - ); -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct Predict { - marker: i32, -} - -#[derive(facet::Facet)] -#[facet(crate = facet)] -struct FakePredictModule { - predictor: Predict, -} - -#[test] -fn named_parameters_missing_accessor_reports_predict_like_leaf_path() { - let mut module = FakePredictModule { - predictor: Predict { marker: 7 }, - }; - - let err = match named_parameters(&mut module) { - Ok(_) => panic!("predict-like shapes should fail without accessor registration"), - Err(err) => err, - }; - let message = err.to_string(); - match err { - NamedParametersError::MissingAttr { path } => { - assert_eq!(path, "predictor"); - assert!( - message.contains("no registered accessor"), - "diagnostic should mention missing accessor registration" - ); - } - other => panic!("expected MissingAttr, got {other:?}"), - } -} diff --git a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs index 828d4746..8b5605df 100644 --- a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs +++ b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs @@ -1,11 +1,9 @@ use anyhow::Result; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ - COPRO, CallMetadata, DynPredictor, Example, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, named_parameters, + COPRO, CallMetadata, Example, MetricOutcome, Module, Optimizer, Predict, PredictError, + Predicted, Signature, TypedMetric, }; -use serde_json::json; -use std::collections::HashMap; #[derive(Signature, Clone, Debug)] struct OptimizerSig { @@ -28,11 +26,13 @@ impl Module for InstructionEchoModule { async fn forward( &self, - _input: OptimizerSigInput, + input: OptimizerSigInput, ) -> Result, PredictError> { - let answer = as DynPredictor>::instruction(&self.predictor); + let _ = &self.predictor; Ok(Predicted::new( - OptimizerSigOutput { answer }, + OptimizerSigOutput { + answer: input.prompt, + }, CallMetadata::default(), )) } @@ -40,48 +40,46 @@ impl Module for InstructionEchoModule { struct InstructionLengthMetric; -impl TypedMetric for InstructionLengthMetric { +impl TypedMetric for InstructionLengthMetric { async fn evaluate( &self, - _example: &Example, + _example: &Example, prediction: &Predicted, ) -> Result { Ok(MetricOutcome::score(prediction.answer.len() as f32)) } } -fn trainset() -> Vec { +fn trainset() -> Vec> { vec![ Example::new( - HashMap::from([("prompt".to_string(), json!("one"))]), - vec!["prompt".to_string()], - vec![], + OptimizerSigInput { + prompt: "one".to_string(), + }, + OptimizerSigOutput { + answer: "one".to_string(), + }, ), Example::new( - HashMap::from([("prompt".to_string(), json!("two"))]), - vec!["prompt".to_string()], - vec![], + OptimizerSigInput { + prompt: "two".to_string(), + }, + OptimizerSigOutput { + answer: "two".to_string(), + }, ), ] } #[tokio::test] -async fn optimizer_mutates_predictor_instruction_via_named_parameters() { +async fn optimizer_compile_succeeds_without_public_named_parameter_access() { let mut module = InstructionEchoModule { predictor: Predict::::builder().instruction("seed").build(), }; let optimizer = COPRO::builder().breadth(4).depth(1).build(); optimizer - .compile(&mut module, trainset(), &InstructionLengthMetric) + .compile::(&mut module, trainset(), &InstructionLengthMetric) .await - .expect("COPRO compile should succeed"); - - let params = named_parameters(&mut module).expect("predictor should be discoverable"); - assert_eq!(params.len(), 1); - assert_eq!(params[0].0, "predictor"); - - let instruction = params[0].1.instruction(); - assert_ne!(instruction, "seed"); - assert!(instruction.contains("Optimization hint")); + .expect("COPRO compile should succeed with internal predictor discovery"); } diff --git a/crates/dspy-rs/tests/test_optimizer_typed_metric.rs b/crates/dspy-rs/tests/test_optimizer_typed_metric.rs index fb8bf236..456d579d 100644 --- a/crates/dspy-rs/tests/test_optimizer_typed_metric.rs +++ b/crates/dspy-rs/tests/test_optimizer_typed_metric.rs @@ -1,11 +1,10 @@ -use anyhow::Result; -use dspy_rs::__macro_support::bamltype::facet; +use anyhow::{Result, anyhow}; +use facet; use dspy_rs::{ - COPRO, CallMetadata, DynPredictor, Example, MIPROv2, MetricOutcome, Module, Optimizer, - Predict, PredictError, Predicted, Signature, TypedMetric, + COPRO, CallMetadata, Example, MIPROv2, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedMetric, }; -use serde_json::json; -use std::collections::HashMap; +use std::collections::HashSet; use std::sync::{Arc, Mutex}; #[derive(Signature, Clone, Debug)] @@ -29,11 +28,13 @@ impl Module for InstructionEchoModule { async fn forward( &self, - _input: OptimizerSigInput, + input: OptimizerSigInput, ) -> Result, PredictError> { - let answer = as DynPredictor>::instruction(&self.predictor); + let _ = &self.predictor; Ok(Predicted::new( - OptimizerSigOutput { answer }, + OptimizerSigOutput { + answer: input.prompt, + }, CallMetadata::default(), )) } @@ -43,10 +44,10 @@ struct RecordingMetric { seen_answers: Arc>>, } -impl TypedMetric for RecordingMetric { +impl TypedMetric for RecordingMetric { async fn evaluate( &self, - _example: &Example, + example: &Example, prediction: &Predicted, ) -> Result { self.seen_answers @@ -54,43 +55,44 @@ impl TypedMetric for RecordingMetric { .expect("metric lock should not be poisoned") .push(prediction.answer.clone()); - Ok(MetricOutcome::score(prediction.answer.len() as f32)) + let score = (prediction.answer == example.input.prompt) as u8 as f32; + Ok(MetricOutcome::score(score)) } } -fn trainset() -> Vec { +struct FailingMetric; + +impl TypedMetric for FailingMetric { + async fn evaluate( + &self, + _example: &Example, + _prediction: &Predicted, + ) -> Result { + Err(anyhow!("metric failure")) + } +} + +fn trainset() -> Vec> { vec![ Example::new( - HashMap::from([ - ("prompt".to_string(), json!("one")), - ("answer".to_string(), json!("seed")), - ]), - vec!["prompt".to_string()], - vec!["answer".to_string()], + OptimizerSigInput { + prompt: "one".to_string(), + }, + OptimizerSigOutput { + answer: "one".to_string(), + }, ), Example::new( - HashMap::from([ - ("prompt".to_string(), json!("two")), - ("answer".to_string(), json!("seed")), - ]), - vec!["prompt".to_string()], - vec!["answer".to_string()], + OptimizerSigInput { + prompt: "two".to_string(), + }, + OptimizerSigOutput { + answer: "two".to_string(), + }, ), ] } -fn trainset_with_invalid_input_keys() -> Vec { - vec![Example::new( - HashMap::from([ - ("prompt".to_string(), json!("one")), - ("wrong_input".to_string(), json!("unused")), - ("answer".to_string(), json!("seed")), - ]), - vec!["wrong_input".to_string()], - vec!["answer".to_string()], - )] -} - #[tokio::test] async fn copro_compile_uses_typed_metric_predictions() { let seen_answers = Arc::new(Mutex::new(Vec::new())); @@ -104,7 +106,7 @@ async fn copro_compile_uses_typed_metric_predictions() { let optimizer = COPRO::builder().breadth(3).depth(1).build(); optimizer - .compile(&mut module, trainset(), &metric) + .compile::(&mut module, trainset(), &metric) .await .expect("COPRO compile should succeed on typed metric"); @@ -112,7 +114,10 @@ async fn copro_compile_uses_typed_metric_predictions() { .lock() .expect("metric lock should not be poisoned"); assert!(!seen.is_empty(), "metric should receive typed predictions"); - assert!(seen.iter().all(|answer| !answer.is_empty())); + let expected_prompts = HashSet::from(["one".to_string(), "two".to_string()]); + assert!(seen.iter().all(|answer| expected_prompts.contains(answer))); + assert!(seen.iter().any(|answer| answer == "one")); + assert!(seen.iter().any(|answer| answer == "two")); } #[tokio::test] @@ -133,7 +138,7 @@ async fn mipro_compile_uses_typed_metric_predictions() { .build(); optimizer - .compile(&mut module, trainset(), &metric) + .compile::(&mut module, trainset(), &metric) .await .expect("MIPRO compile should succeed on typed metric"); @@ -141,39 +146,32 @@ async fn mipro_compile_uses_typed_metric_predictions() { .lock() .expect("metric lock should not be poisoned"); assert!(!seen.is_empty(), "metric should receive typed predictions"); - assert!(seen.iter().all(|answer| !answer.is_empty())); + let expected_prompts = HashSet::from(["one".to_string(), "two".to_string()]); + assert!(seen.iter().all(|answer| expected_prompts.contains(answer))); + assert!(seen.iter().any(|answer| answer == "one")); + assert!(seen.iter().any(|answer| answer == "two")); } #[tokio::test] -async fn copro_compile_respects_example_input_keys_for_typed_conversion() { - let metric = RecordingMetric { - seen_answers: Arc::new(Mutex::new(Vec::new())), - }; +async fn copro_compile_propagates_metric_errors() { let mut module = InstructionEchoModule { predictor: Predict::::builder().instruction("seed").build(), }; - let optimizer = COPRO::builder().breadth(3).depth(1).build(); + let err = optimizer - .compile(&mut module, trainset_with_invalid_input_keys(), &metric) + .compile::(&mut module, trainset(), &FailingMetric) .await - .expect_err("compile should fail when input_keys omits required typed fields"); + .expect_err("COPRO should propagate typed metric errors"); - assert!( - err.to_string().contains("prompt"), - "error should mention missing required field: {err}" - ); + assert!(err.to_string().contains("metric failure")); } #[tokio::test] -async fn mipro_compile_respects_example_input_keys_for_typed_conversion() { - let metric = RecordingMetric { - seen_answers: Arc::new(Mutex::new(Vec::new())), - }; +async fn mipro_compile_propagates_metric_errors() { let mut module = InstructionEchoModule { predictor: Predict::::builder().instruction("seed").build(), }; - let optimizer = MIPROv2::builder() .num_candidates(4) .num_trials(2) @@ -181,12 +179,9 @@ async fn mipro_compile_respects_example_input_keys_for_typed_conversion() { .build(); let err = optimizer - .compile(&mut module, trainset_with_invalid_input_keys(), &metric) + .compile::(&mut module, trainset(), &FailingMetric) .await - .expect_err("compile should fail when input_keys omits required typed fields"); + .expect_err("MIPRO should propagate typed metric errors"); - assert!( - err.to_string().contains("prompt"), - "error should mention missing required field: {err}" - ); + assert!(err.to_string().contains("metric failure")); } diff --git a/crates/dspy-rs/tests/test_predictors.rs b/crates/dspy-rs/tests/test_predictors.rs deleted file mode 100644 index 7df8a844..00000000 --- a/crates/dspy-rs/tests/test_predictors.rs +++ /dev/null @@ -1,92 +0,0 @@ -use anyhow::Result; -use dspy_rs::{Demo, DynPredictor, Example, Predict, PredictState, Signature}; -use serde_json::json; -use std::collections::HashMap; - -#[derive(Signature, Clone, Debug, PartialEq)] -struct QA { - #[input] - question: String, - - #[output] - answer: String, -} - -fn qa_demo(question: &str, answer: &str) -> Demo { - Demo::new( - QAInput { - question: question.to_string(), - }, - QAOutput { - answer: answer.to_string(), - }, - ) -} - -fn qa_example(question: &str, answer: &str) -> Example { - Example::new( - HashMap::from([ - ("question".to_string(), json!(question)), - ("answer".to_string(), json!(answer)), - ]), - vec!["question".to_string()], - vec!["answer".to_string()], - ) -} - -#[test] -fn predict_builder_sets_initial_instruction() { - let predictor = Predict::::builder().instruction("Be concise").build(); - assert_eq!( as DynPredictor>::instruction(&predictor), "Be concise"); -} - -#[test] -fn dyn_predictor_state_dump_load_roundtrip() -> Result<()> { - let mut predictor = Predict::::builder() - .instruction("Initial instruction") - .demo(qa_demo("What is 2+2?", "4")) - .build(); - - let saved = as DynPredictor>::dump_state(&predictor); - assert_eq!(saved.demos.len(), 1); - assert_eq!(saved.instruction_override.as_deref(), Some("Initial instruction")); - - as DynPredictor>::load_state( - &mut predictor, - PredictState { - demos: vec![qa_example("Capital of France?", "Paris")], - instruction_override: Some("Loaded instruction".to_string()), - }, - )?; - - assert_eq!( - as DynPredictor>::instruction(&predictor), - "Loaded instruction" - ); - - let demos = as DynPredictor>::demos_as_examples(&predictor); - assert_eq!(demos.len(), 1); - assert_eq!(demos[0].data.get("question"), Some(&json!("Capital of France?"))); - assert_eq!(demos[0].data.get("answer"), Some(&json!("Paris"))); - - as DynPredictor>::load_state(&mut predictor, saved)?; - assert_eq!( - as DynPredictor>::instruction(&predictor), - "Initial instruction" - ); - - Ok(()) -} - -#[test] -fn dyn_predictor_rejects_invalid_demo_shape() { - let mut predictor = Predict::::new(); - let bad_demo = Example::new( - HashMap::from([("wrong".to_string(), json!("field"))]), - vec!["wrong".to_string()], - vec![], - ); - - let result = as DynPredictor>::set_demos_from_examples(&mut predictor, vec![bad_demo]); - assert!(result.is_err()); -} diff --git a/crates/dspy-rs/tests/test_public_api_compile_fail.rs b/crates/dspy-rs/tests/test_public_api_compile_fail.rs new file mode 100644 index 00000000..5096a73a --- /dev/null +++ b/crates/dspy-rs/tests/test_public_api_compile_fail.rs @@ -0,0 +1,126 @@ +use std::fs; +use std::path::Path; +use std::process::Command; + +fn run_compile_fail_case(name: &str, source: &str) -> String { + let temp = tempfile::tempdir().expect("tempdir should be creatable"); + let case_dir = temp.path().join(name); + fs::create_dir_all(case_dir.join("src")).expect("case src dir should be creatable"); + + let manifest_path = Path::new(env!("CARGO_MANIFEST_DIR")); + let cargo_toml = format!( + "[package]\nname = \"{name}\"\nversion = \"0.1.0\"\nedition = \"2024\"\n\n[dependencies]\ndspy-rs = {{ path = \"{}\" }}\nanyhow = \"1\"\n", + manifest_path.display() + ); + + fs::write(case_dir.join("Cargo.toml"), cargo_toml).expect("cargo manifest should be writable"); + fs::write(case_dir.join("src/main.rs"), source).expect("source file should be writable"); + + let output = Command::new("cargo") + .arg("check") + .arg("--quiet") + .current_dir(&case_dir) + .output() + .expect("cargo check should run"); + + assert!( + !output.status.success(), + "expected compile failure, but case compiled successfully:\n{}", + source + ); + + String::from_utf8_lossy(&output.stderr).into_owned() +} + +#[test] +fn dyn_predictor_is_not_publicly_importable() { + let stderr = run_compile_fail_case( + "private_dyn_predictor_case", + r#" +use dspy_rs::DynPredictor; + +fn main() { + let _ = std::any::type_name::>(); +} +"#, + ); + + assert!( + stderr.contains("DynPredictor") + && (stderr.contains("private") || stderr.contains("no `DynPredictor` in the root")), + "expected DynPredictor import failure, got:\n{stderr}" + ); +} + +#[test] +fn named_parameters_is_not_publicly_importable() { + let stderr = run_compile_fail_case( + "private_named_parameters_case", + r#" +use dspy_rs::named_parameters; + +fn main() { + let _ = named_parameters; +} +"#, + ); + + assert!( + stderr.contains("named_parameters") + && (stderr.contains("private") || stderr.contains("no `named_parameters` in the root")), + "expected named_parameters import failure, got:\n{stderr}" + ); +} + +#[test] +fn optimizer_compile_rejects_wrong_signature_input_type() { + let stderr = run_compile_fail_case( + "wrong_signature_case", + r#" +use anyhow::Result; +use dspy_rs::{COPRO, ChainOfThought, Example, MetricOutcome, Optimizer, Predicted, Signature, TypedMetric, WithReasoning}; + +#[derive(Signature, Clone, Debug)] +struct RightSig { + #[input] + prompt: String, + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug)] +struct WrongSig { + #[input] + prompt_id: i64, + #[output] + answer: String, +} + +struct Metric; + +impl TypedMetric> for Metric { + async fn evaluate( + &self, + _example: &Example, + _prediction: &Predicted>, + ) -> Result { + Ok(MetricOutcome::score(1.0)) + } +} + +fn main() { + let mut module = ChainOfThought::::new(); + let trainset: Vec> = Vec::new(); + let optimizer = COPRO::builder().breadth(1).depth(1).build(); + let _future = optimizer.compile::(&mut module, trainset, &Metric); +} +"#, + ); + + assert!( + stderr.contains("Module") + || stderr.contains("type mismatch") + || stderr.contains("TypedMetric::new(); - let schema = as DynPredictor>::schema(&predict); - let output_names = schema - .output_fields() - .iter() - .map(|field| field.lm_name) - .collect::>(); - - assert_eq!(output_names, vec!["answer", "score"]); - assert!(!output_names.contains(&"result.answer")); -} diff --git a/docs/docs/optimizers/copro.mdx b/docs/docs/optimizers/copro.mdx index 4b89217d..118bf30e 100644 --- a/docs/docs/optimizers/copro.mdx +++ b/docs/docs/optimizers/copro.mdx @@ -31,7 +31,7 @@ let copro = COPRO::builder() ```rust use anyhow::Result; use bon::Builder; -use dspy_rs::__macro_support::bamltype::facet; +use facet; use dspy_rs::{ COPRO, ChatAdapter, Example, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, configure, init_tracing, @@ -64,9 +64,9 @@ impl Module for MyModule { struct ExactMatchMetric; -impl TypedMetric for ExactMatchMetric { - async fn evaluate(&self, example: &Example, prediction: &Predicted) -> Result { - let expected = example.get("answer", None).as_str().unwrap_or("").trim().to_lowercase(); +impl TypedMetric for ExactMatchMetric { + async fn evaluate(&self, example: &Example, prediction: &Predicted) -> Result { + let expected = example.output.answer.trim().to_lowercase(); let actual = prediction.answer.trim().to_lowercase(); Ok(MetricOutcome::score((expected == actual) as u8 as f32)) } @@ -86,6 +86,24 @@ async fn main() -> Result<()> { ); let mut module = MyModule::builder().build(); + let trainset = vec![ + Example::new( + QAInput { + question: "What is 2+2?".to_string(), + }, + QAOutput { + answer: "4".to_string(), + }, + ), + Example::new( + QAInput { + question: "Capital of France?".to_string(), + }, + QAOutput { + answer: "Paris".to_string(), + }, + ), + ]; let copro = COPRO::builder() .breadth(10) @@ -93,7 +111,7 @@ async fn main() -> Result<()> { .build(); let metric = ExactMatchMetric; - copro.compile(&mut module, trainset, &metric).await?; + copro.compile::(&mut module, trainset, &metric).await?; Ok(()) } diff --git a/docs/docs/optimizers/gepa-llm-judge.mdx b/docs/docs/optimizers/gepa-llm-judge.mdx index c901ff92..25f4a365 100644 --- a/docs/docs/optimizers/gepa-llm-judge.mdx +++ b/docs/docs/optimizers/gepa-llm-judge.mdx @@ -101,24 +101,14 @@ struct LlmJudgeMetric { judge: Predict, } -impl TypedMetric for LlmJudgeMetric { +impl TypedMetric for LlmJudgeMetric { async fn evaluate( &self, - example: &Example, - prediction: &Predicted, + example: &Example, + prediction: &Predicted<::Output>, ) -> Result { - let problem = example - .data - .get("problem") - .and_then(|value| value.as_str()) - .unwrap_or("") - .to_string(); - let expected = example - .data - .get("expected_answer") - .and_then(|value| value.as_str()) - .unwrap_or("") - .to_string(); + let problem = example.input.problem.clone(); + let expected = example.output.answer.clone(); let student_answer = prediction.answer.clone(); let student_reasoning = prediction.reasoning.clone(); @@ -242,11 +232,11 @@ GEPA::builder() Best results often come from combining explicit checks with LLM judging: ```rust -impl TypedMetric for HybridMetric { +impl TypedMetric for HybridMetric { async fn evaluate( &self, - example: &Example, - prediction: &Predicted, + example: &Example, + prediction: &Predicted<::Output>, ) -> Result { let mut score = 1.0; let mut feedback_parts = vec![]; diff --git a/docs/docs/optimizers/gepa.mdx b/docs/docs/optimizers/gepa.mdx index 8070dc9b..0f702772 100644 --- a/docs/docs/optimizers/gepa.mdx +++ b/docs/docs/optimizers/gepa.mdx @@ -68,12 +68,16 @@ impl Module for MyModule { struct MyMetric; -impl TypedMetric for MyMetric { - async fn evaluate(&self, example: &Example, prediction: &Predicted) +impl TypedMetric for MyMetric { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted<::Output>, + ) -> Result { let predicted = prediction.answer.as_str(); - let expected = example.get("expected", None).as_str().unwrap_or(""); + let expected = example.output.answer.as_str(); let correct = predicted == expected; let score = if correct { 1.0 } else { 0.0 }; @@ -177,10 +181,17 @@ GEPA::builder() .maybe_max_rollouts(Some(500)) // Budget: max rollouts .maybe_max_lm_calls(Some(1000)) // Budget: max LM calls .maybe_prompt_model(Some(lm)) // Separate LM for meta-prompting - .maybe_valset(Some(examples)) // Validation set .build() ``` +Pass validation data at compile time: + +```rust +let result = gepa + .compile_with_valset(&mut module, trainset, Some(valset), &metric) + .await?; +``` + ## Understanding GEPA Results ```rust @@ -356,11 +367,11 @@ GEPA::builder() ### Issue: "GEPA requires feedback for every evaluated example" ```rust // Solution: Return MetricOutcome::with_feedback(...) from TypedMetric::evaluate -impl TypedMetric for MyMetric { +impl TypedMetric for MyMetric { async fn evaluate( &self, - example: &Example, - prediction: &Predicted, + example: &Example, + prediction: &Predicted<::Output>, ) -> Result { Ok(MetricOutcome::with_feedback( 1.0, @@ -396,10 +407,11 @@ GEPA can act as a test-time/inference search mechanism. By setting your `valset` let gepa = GEPA::builder() .track_stats(true) .track_best_outputs(true) - .maybe_valset(Some(my_tasks.clone())) .build(); -let result = gepa.compile(&mut module, my_tasks, &metric).await?; +let result = gepa + .compile_with_valset(&mut module, my_tasks.clone(), Some(my_tasks), &metric) + .await?; // Access per-task best scores and outputs let best_scores = result.highest_score_achieved_per_val_task; diff --git a/docs/docs/optimizers/miprov2.mdx b/docs/docs/optimizers/miprov2.mdx index c3eb1ed4..45926e08 100644 --- a/docs/docs/optimizers/miprov2.mdx +++ b/docs/docs/optimizers/miprov2.mdx @@ -11,10 +11,10 @@ MIPROv2 (Multi-prompt Instruction Proposal Optimizer v2) is an optimizer that us ### Stage 1: Trace Generation ```rust -async fn generate_traces( +async fn generate_traces( &self, module: &M, - examples: &[Example], + examples: &[Example], ) -> Result> ``` @@ -73,7 +73,7 @@ let optimizer = MIPROv2::builder() .minibatch_size(25) .build(); -// Typed metric implementing TypedMetric +// Typed metric implementing TypedMetric let metric = ExactMatchMetric; // Optimize your module diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md index 65d24450..239e04fa 100644 --- a/docs/plans/modules/tracker.md +++ b/docs/plans/modules/tracker.md @@ -1,11 +1,13 @@ # Implementation Tracker -## Current Scope Addendum (2026-02-11) +## Current Scope Addendum (2026-02-12) V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. +MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. + All content below is preserved as a historical implementation record. > Historical note: entries in this file are an execution log. Older entries may reference removed APIs and are kept as archival context. diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index a44ecd30..b7293d28 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -1,11 +1,13 @@ # DSRs Module System — Breadboard -## Current Scope Addendum (2026-02-11) +## Current Scope Addendum (2026-02-12) V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. +MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. + All content below is preserved as a historical implementation record. > Shape F: Facet-native typed modules with dynamic graph escape hatch diff --git a/docs/specs/modules/design_reference.md b/docs/specs/modules/design_reference.md index de79ce8f..d39182ab 100644 --- a/docs/specs/modules/design_reference.md +++ b/docs/specs/modules/design_reference.md @@ -1,11 +1,13 @@ # DSRs Module System — Technical Design Reference -## Current Scope Addendum (2026-02-11) +## Current Scope Addendum (2026-02-12) V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. +MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. + All content below is preserved as a historical implementation record. > Companion to the Shaping Document. The shaping doc says **what** we want (R's) and **what parts** we need (F's). This document captures **how each part works**: the concrete types, traits, data flow, code sketches, and design decisions from the shaping process. @@ -721,6 +723,8 @@ The `insert_at_path` function creates nested BamlValue::Class entries as needed. ## 9. DynPredictor: The Optimizer Bridge (F8) +**Current-scope note (2026-02-12):** The code excerpt below is preserved as historical design context. In active V1–V5 typed-only scope, `DynPredictor` remains internal and no longer includes `forward_untyped`; current runtime only exposes schema/instruction/demo/state mutation internally for optimizer use. + ```rust pub trait DynPredictor: Send + Sync { /// The Facet-derived schema for this predictor diff --git a/docs/specs/modules/dspy_module_system_reference/01_module_system.md b/docs/specs/modules/dspy_module_system_reference/01_module_system.md index 382c4e70..ab2e6234 100644 --- a/docs/specs/modules/dspy_module_system_reference/01_module_system.md +++ b/docs/specs/modules/dspy_module_system_reference/01_module_system.md @@ -1,5 +1,18 @@ # The Module System: BaseModule, Module, Parameter +## Current Scope Addendum (2026-02-12) + +This document is historical DSPy/Python reference material, preserved for context. + +It is not the active Rust runtime contract for `dspy-rs`. In current V1–V5 typed scope: +- Public module calls are typed and return `Result, PredictError>`. +- `_compiled`, `BaseModule`, and public `named_parameters()` are not part of the active Rust API surface. +- Optimizer discovery is internal via Facet-based predictor walking. + +Refer to the active contracts in: +- `docs/specs/modules/design_reference.md` +- `docs/specs/modules/breadboard.md` + ## Three Layers The module system has three layers, each adding capabilities: diff --git a/docs/specs/modules/dspy_module_system_reference/06_optimizers.md b/docs/specs/modules/dspy_module_system_reference/06_optimizers.md index 216b8379..481c703f 100644 --- a/docs/specs/modules/dspy_module_system_reference/06_optimizers.md +++ b/docs/specs/modules/dspy_module_system_reference/06_optimizers.md @@ -1,5 +1,18 @@ # Optimizers: How They Discover and Modify Modules +## Current Scope Addendum (2026-02-12) + +This document is historical DSPy/Python reference material, preserved for context. + +It is not the active Rust optimizer/runtime contract for `dspy-rs`. In current V1–V5 typed scope: +- Optimizers compile against typed trainsets (`Vec>`) and typed metrics. +- Internal predictor discovery is Facet-driven and not a public `named_predictors()` surface. +- `_compiled`, `reset_copy()`, and `settings.trace` are not active Rust API contracts. + +Refer to the active contracts in: +- `docs/specs/modules/design_reference.md` +- `docs/specs/modules/breadboard.md` + ## The Contract The implicit contract between an optimizer and a module: diff --git a/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md b/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md index 4f147274..81bef36d 100644 --- a/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md +++ b/docs/specs/modules/dspy_module_system_reference/07_rust_implications.md @@ -1,5 +1,15 @@ # Rust Rewrite Implications +## Current Scope Addendum (2026-02-12) + +This file is preserved as historical design exploration. Active canonical runtime scope is V1–V5 typed-only. + +For current API contracts, prefer: +- `docs/specs/modules/design_reference.md` +- `docs/specs/modules/breadboard.md` + +In current scope, module calls are typed and return `Result, PredictError>`, and optimizer parameter discovery is internal via Facet walking (not a public `named_parameters` API). + ## What DSPy's Module System Actually Is Strip away the Python dynamism and DSPy's module system is: @@ -65,26 +75,20 @@ Python does this by walking `__dict__` and checking `isinstance`. Rust doesn't h **Options**: -**Option A: Explicit children** (recommended) +**Option A: Explicit children** (historical exploration) ```rust trait Module { - fn forward(&self, inputs: HashMap) -> Result; - fn named_parameters(&self) -> Vec<(String, &dyn Parameter)>; - fn named_sub_modules(&self) -> Vec<(String, &dyn Module)>; -} + type Input: BamlType + for<'a> Facet<'a> + Send + Sync; + type Output: BamlType + for<'a> Facet<'a> + Send + Sync; -trait Parameter: Module { - fn demos(&self) -> &[Example]; - fn set_demos(&mut self, demos: Vec); - fn signature(&self) -> &Signature; - fn set_signature(&mut self, sig: Signature); - fn dump_state(&self) -> serde_json::Value; - fn load_state(&mut self, state: &serde_json::Value); - fn reset(&mut self); + async fn forward(&self, input: Self::Input) -> Result, PredictError>; + async fn call(&self, input: Self::Input) -> Result, PredictError> { + self.forward(input).await + } } ``` -Each module explicitly returns its children. ChainOfThought returns `[("predict", &self.predict)]`. ReAct returns `[("react", &self.react), ("extract.predict", &self.extract.predict)]`. +Current implementation does not expose public `named_parameters` traversal; optimizer discovery is internal and Facet-driven. **Option B: Derive macro** ```rust @@ -99,7 +103,7 @@ A proc macro generates `named_parameters()` by inspecting fields marked with `#[ **Option C: Inventory/registry** -- each module registers itself. More complex, probably overkill. -**Recommendation**: Start with Option A (explicit). It's simple, correct, and makes the tree structure obvious. Add a derive macro later if the boilerplate becomes painful. +**Current recommendation**: keep typed `Module` surface canonical and keep traversal internals non-public. ### 3. The `_compiled` Freeze Flag @@ -267,7 +271,7 @@ Python signatures carry Python types (Pydantic models, etc.). Rust signatures wi - **Partially typed** (generics for common cases, `Value` for complex) -- more Rusty but more complex - **Schema-driven** (JSON Schema as the universal type description) -- pragmatic, works with any LM -**Recommendation**: Start fully dynamic. The type safety that matters here is at the *LM boundary* (parsing), not at compile time. You're dealing with strings from an LM no matter what. +**Current recommendation**: keep signature-first typed contracts as canonical and restrict dynamic/untyped surfaces to internal/deferred paths. ### 2. Ownership of Demos and Signatures @@ -276,13 +280,13 @@ In Python, optimizers freely mutate `predictor.demos` and `predictor.signature`. - **Interior mutability**: Use `RefCell>` for demos - **Clone + replace**: Clone the whole program, modify the clone, return it (matches Python's `reset_copy()` pattern) -**Recommendation**: Clone + replace. It matches the Python pattern where optimizers always copy the student first, and it avoids fighting the borrow checker. +**Current recommendation**: mutate typed modules in place through `&mut` optimizer compile flow. ### 3. Async vs Sync LM calls are inherently async (HTTP requests). The question is whether `forward()` should be async. -**Recommendation**: Make it async from the start. `async fn forward(&self, ...) -> Result`. Easier than retrofitting later. +**Recommendation**: keep async typed module calls as canonical. `async fn forward(&self, ...) -> Result, PredictError>` (with `Module::call` as the stable entry point). ### 4. Error Types diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index b08c0a3f..303a9610 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -1,11 +1,13 @@ # DSRs Module System — Shaping Document -## Current Scope Addendum (2026-02-11) +## Current Scope Addendum (2026-02-12) V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. +MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. + All content below is preserved as a historical implementation record. **Selected shape:** F (Facet-native typed modules with dynamic graph escape hatch) From 26d0d1c05e6d238756aff7c42c6a6b9431a463d2 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Wed, 11 Feb 2026 19:30:07 -0800 Subject: [PATCH 21/22] typed dataloader season --- README.md | 52 + .../dspy-rs/examples/03-evaluate-hotpotqa.rs | 33 +- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 31 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 31 +- crates/dspy-rs/src/data/dataloader.rs | 1132 ++++++++++++----- crates/dspy-rs/src/data/mod.rs | 18 +- crates/dspy-rs/src/data/utils.rs | 48 +- crates/dspy-rs/tests/test_dataloader.rs | 721 +++++++---- docs/docs.json | 1 + docs/docs/data/dataloader.mdx | 136 ++ docs/docs/data/examples.mdx | 31 +- docs/docs/optimizers/copro.mdx | 6 +- docs/docs/optimizers/miprov2.mdx | 4 + docs/index.mdx | 2 +- 14 files changed, 1522 insertions(+), 724 deletions(-) create mode 100644 docs/docs/data/dataloader.mdx diff --git a/README.md b/README.md index 8f25333d..e1898779 100644 --- a/README.md +++ b/README.md @@ -242,6 +242,58 @@ let optimizer = MIPROv2::builder() optimizer.compile(&mut module, train_examples, &metric).await?; ``` +#### 7. **Typed Data Loading** - Ingest Directly Into `Example` + +`DataLoader` now provides typed loaders that return `Vec>` directly. +Default behavior is: +- Unknown source fields are ignored. +- Missing signature-required fields return an error with row + field context. + +```rust +use dspy_rs::{DataLoader, Signature, TypedLoadOptions}; + +#[derive(Signature, Clone, Debug)] +struct QA { + #[input] + question: String, + #[output] + answer: String, +} + +let trainset = DataLoader::load_csv::( + "data/train.csv", + ',', + true, + TypedLoadOptions::default(), +)?; +``` + +For custom source schemas, use mapper overloads: + +```rust +let trainset = DataLoader::load_csv_with::( + "data/train.csv", + ',', + true, + TypedLoadOptions::default(), + |row| { + Ok(dspy_rs::Example::new( + QAInput { + question: row.get::("prompt")?, + }, + QAOutput { + answer: row.get::("completion")?, + }, + )) + }, +)?; +``` + +Migration note: +- Removed legacy raw signatures that required `input_keys` / `output_keys`. +- `save_json` / `save_csv` were removed from `DataLoader`. +- Use typed `load_*` / `load_*_with` APIs. + See `examples/08-optimize-mipro.rs` for a complete example (requires `parquet` feature). **Component Discovery:** diff --git a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs index 28f6d6c4..f9cf6a69 100644 --- a/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs +++ b/crates/dspy-rs/examples/03-evaluate-hotpotqa.rs @@ -9,10 +9,9 @@ cargo run --example 03-evaluate-hotpotqa --features dataloaders use anyhow::Result; use dspy_rs::{ - ChatAdapter, DataLoader, Example, LM, MetricOutcome, Predict, Predicted, Signature, TypedMetric, - average_score, configure, evaluate_trainset, init_tracing, + ChatAdapter, DataLoader, Example, LM, MetricOutcome, Predict, Predicted, Signature, + TypedLoadOptions, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, }; -use dspy_rs::data::RawExample; #[derive(Signature, Clone, Debug)] struct QA { @@ -40,28 +39,6 @@ impl TypedMetric> for ExactMatchMetric { } } -fn typed_hotpot_examples(raw_examples: Vec) -> Vec> { - raw_examples - .into_iter() - .filter_map(|example| { - let question = example - .data - .get("question") - .and_then(|value| value.as_str())? - .to_string(); - let answer = example - .data - .get("answer") - .and_then(|value| value.as_str())? - .to_string(); - Some(Example::new( - QAInput { question }, - QAOutput { answer }, - )) - }) - .collect() -} - #[tokio::main] async fn main() -> Result<()> { init_tracing()?; @@ -74,16 +51,14 @@ async fn main() -> Result<()> { ChatAdapter, ); - let raw_examples = DataLoader::load_hf( + let examples = DataLoader::load_hf::( "hotpotqa/hotpot_qa", - vec!["question".to_string()], - vec!["answer".to_string()], "fullwiki", "validation", true, + TypedLoadOptions::default(), )?[..64] .to_vec(); - let examples = typed_hotpot_examples(raw_examples); let module = Predict::::builder() .instruction("Answer with a short, factual response.") diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index 9e10fac4..78541f02 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -12,10 +12,9 @@ use bon::Builder; use facet; use dspy_rs::{ COPRO, ChatAdapter, DataLoader, Example, LM, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, average_score, configure, + PredictError, Predicted, Signature, TypedLoadOptions, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, }; -use dspy_rs::data::RawExample; #[derive(Signature, Clone, Debug)] struct QA { @@ -58,28 +57,6 @@ impl TypedMetric for ExactMatchMetric { } } -fn typed_hotpot_examples(raw_examples: Vec) -> Vec> { - raw_examples - .into_iter() - .filter_map(|example| { - let question = example - .data - .get("question") - .and_then(|value| value.as_str())? - .to_string(); - let answer = example - .data - .get("answer") - .and_then(|value| value.as_str())? - .to_string(); - Some(Example::new( - QAInput { question }, - QAOutput { answer }, - )) - }) - .collect() -} - #[tokio::main] async fn main() -> Result<()> { init_tracing()?; @@ -92,16 +69,14 @@ async fn main() -> Result<()> { ChatAdapter, ); - let raw_examples = DataLoader::load_hf( + let examples = DataLoader::load_hf::( "hotpotqa/hotpot_qa", - vec!["question".to_string()], - vec!["answer".to_string()], "fullwiki", "validation", true, + TypedLoadOptions::default(), )?[..10] .to_vec(); - let examples = typed_hotpot_examples(raw_examples); let metric = ExactMatchMetric; let mut module = QAModule::builder().build(); diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index e5fa4059..b563be9a 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -12,10 +12,9 @@ use bon::Builder; use facet; use dspy_rs::{ ChatAdapter, DataLoader, Example, LM, MIPROv2, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, average_score, configure, + PredictError, Predicted, Signature, TypedLoadOptions, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, }; -use dspy_rs::data::RawExample; #[derive(Signature, Clone, Debug)] struct QuestionAnswering { @@ -70,28 +69,6 @@ impl TypedMetric for ExactMatchMetric { } } -fn typed_hotpot_examples(raw_examples: Vec) -> Vec> { - raw_examples - .into_iter() - .filter_map(|example| { - let question = example - .data - .get("question") - .and_then(|value| value.as_str())? - .to_string(); - let answer = example - .data - .get("answer") - .and_then(|value| value.as_str())? - .to_string(); - Some(Example::new( - QuestionAnsweringInput { question }, - QuestionAnsweringOutput { answer }, - )) - }) - .collect() -} - #[tokio::main] async fn main() -> Result<()> { init_tracing()?; @@ -101,15 +78,13 @@ async fn main() -> Result<()> { configure(LM::default(), ChatAdapter); println!("Loading training data from HuggingFace..."); - let raw_train_examples = DataLoader::load_hf( + let train_examples = DataLoader::load_hf::( "hotpotqa/hotpot_qa", - vec!["question".to_string()], - vec!["answer".to_string()], "fullwiki", "validation", true, + TypedLoadOptions::default(), )?; - let train_examples = typed_hotpot_examples(raw_train_examples); let train_subset = train_examples[..15].to_vec(); println!("Using {} training examples\n", train_subset.len()); diff --git a/crates/dspy-rs/src/data/dataloader.rs b/crates/dspy-rs/src/data/dataloader.rs index 949f8663..fe6400cc 100644 --- a/crates/dspy-rs/src/data/dataloader.rs +++ b/crates/dspy-rs/src/data/dataloader.rs @@ -1,422 +1,876 @@ -use anyhow::Result; -use arrow::array::{Array, StringArray}; -use csv::{ReaderBuilder, WriterBuilder}; +use anyhow::{Context, Result, anyhow}; +use arrow::array::{ + Array, BooleanArray, Float32Array, Float64Array, Int8Array, Int16Array, Int32Array, + Int64Array, StringArray, UInt8Array, UInt16Array, UInt32Array, UInt64Array, +}; +use bamltype::baml_types::BamlMap; +use csv::{ReaderBuilder, StringRecord}; use hf_hub::api::sync::Api; use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; -use rayon::prelude::*; use reqwest; +use std::any::TypeId; +use std::collections::{HashMap, HashSet}; use std::fs; use std::io::Cursor; -use std::{collections::HashMap, path::Path}; -use tracing::{Span, debug}; - -use crate::{RawExample, is_url, string_record_to_example}; +use std::path::{Path, PathBuf}; +use tracing::debug; + +use crate::data::utils::is_url; +use crate::predictors::Example as TypedExample; +use crate::{BamlType, BamlValue, Signature}; + +/// Controls how typed loaders handle source fields that are not part of the target signature. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)] +pub enum UnknownFieldPolicy { + /// Ignore extra source fields that are not consumed by the signature. + #[default] + Ignore, + /// Fail the load when a row contains any extra source field. + Error, +} -/// Loads datasets from JSON, CSV, Parquet files, and HuggingFace Hub. +/// Options for schema-driven typed loading. /// -/// All methods return `Vec` — untyped key-value pairs. Specify -/// `input_keys` and `output_keys` to tell the system which fields are inputs -/// vs outputs (this metadata flows through to typed conversion later). +/// `field_map` remaps signature fields to source fields: +/// - key: signature field name (`S::schema()` field rust name) +/// - value: source field/column name in the file/dataset /// -/// Supports both local file paths and HTTP(S) URLs for JSON and CSV. +/// `unknown_fields` controls whether extra source fields are ignored or rejected. +#[derive(Debug, Clone)] +pub struct TypedLoadOptions { + pub field_map: HashMap, + pub unknown_fields: UnknownFieldPolicy, +} + +impl Default for TypedLoadOptions { + fn default() -> Self { + Self { + field_map: HashMap::new(), + unknown_fields: UnknownFieldPolicy::Ignore, + } + } +} + +/// Raw parsed row passed to custom mapper closures in `load_*_with` APIs. /// -/// ```ignore -/// let examples = DataLoader::load_json( -/// "data/hotpotqa.jsonl", -/// true, // JSON lines format -/// vec!["question".into()], -/// vec!["answer".into()], -/// )?; -/// ``` +/// Values are normalized into `serde_json::Value` so mappers can deserialize +/// directly into strongly typed Rust values using [`RowRecord::get`]. +#[derive(Debug, Clone)] +pub struct RowRecord { + /// 1-based row index in the loaded stream after filtering empty rows. + pub row_index: usize, + /// Parsed key-value payload for the row. + pub values: HashMap, +} + +impl RowRecord { + /// Deserialize a typed value from a row field. + /// + /// Returns [`DataLoadError::MissingField`] if the key is absent. + /// + /// Returns [`DataLoadError::TypeMismatch`] on deserialization failure. + /// For ergonomic CSV mapping, `String` reads will coerce scalar JSON values + /// (number/bool) into strings. + pub fn get( + &self, + key: &str, + ) -> std::result::Result { + let value = self.values.get(key).ok_or_else(|| DataLoadError::MissingField { + row: self.row_index, + field: key.to_string(), + })?; + + match serde_json::from_value::(value.clone()) { + Ok(parsed) => Ok(parsed), + Err(err) => { + if TypeId::of::() == TypeId::of::() { + let coerced = match value { + serde_json::Value::String(text) => text.clone(), + serde_json::Value::Number(number) => number.to_string(), + serde_json::Value::Bool(flag) => flag.to_string(), + other => other.to_string(), + }; + return serde_json::from_value::(serde_json::Value::String(coerced)).map_err( + |fallback_err| DataLoadError::TypeMismatch { + row: self.row_index, + field: key.to_string(), + message: fallback_err.to_string(), + }, + ); + } + + Err(DataLoadError::TypeMismatch { + row: self.row_index, + field: key.to_string(), + message: err.to_string(), + }) + } + } + } +} + +/// Row-aware errors produced by typed data loading. +#[derive(Debug, thiserror::Error)] +pub enum DataLoadError { + /// Source read/download failure. + #[error("I/O error: {0}")] + Io(anyhow::Error), + /// CSV parser failure. + #[error("CSV error: {0}")] + Csv(anyhow::Error), + /// JSON/JSONL parser failure. + #[error("JSON error: {0}")] + Json(anyhow::Error), + /// Parquet parser failure. + #[error("Parquet error: {0}")] + Parquet(anyhow::Error), + /// HuggingFace Hub listing or file retrieval failure. + #[error("HuggingFace error: {0}")] + Hf(anyhow::Error), + /// Required signature field was missing from a row. + #[error("missing field `{field}` at row {row}")] + MissingField { row: usize, field: String }, + /// Row had an unexpected extra field when unknown-field policy is `Error`. + #[error("unknown field `{field}` at row {row}")] + UnknownField { row: usize, field: String }, + /// Field existed but could not be converted to required type. + #[error("type mismatch for field `{field}` at row {row}: {message}")] + TypeMismatch { + row: usize, + field: String, + message: String, + }, + /// Custom mapper closure returned an error. + #[error("mapper error at row {row}: {message}")] + Mapper { row: usize, message: String }, +} + +/// Typed dataset ingress for JSON/CSV/Parquet/HuggingFace sources. +/// +/// Canonical public contract: +/// - Returns `Vec>` directly. +/// - Uses `S::schema()` for required input/output fields. +/// - Supports field remapping via [`TypedLoadOptions::field_map`]. +/// - Reports row-aware failures through [`DataLoadError`]. pub struct DataLoader; impl DataLoader { #[tracing::instrument( name = "dsrs.data.load_json", level = "debug", - skip(input_keys, output_keys), + skip(opts), fields( is_url = is_url(path), - input_keys = input_keys.len(), - output_keys = output_keys.len() + lines, + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields ) )] - /// Loads examples from a JSON file or URL. + /// Load typed rows from JSON array/object or JSONL. /// - /// When `lines` is `true`, treats each line as a separate JSON object (JSONL format). - /// When `false`, expects a single JSON object. + /// `lines = true` treats the file as JSONL (`one object per line`). /// /// # Errors - /// - /// - Network error if `path` is a URL and the request fails - /// - Parse error if the JSON is malformed - pub fn load_json( + /// Returns [`DataLoadError`] wrapped in `anyhow::Error` for parse, schema, + /// mapping, and conversion failures. + pub fn load_json( path: &str, lines: bool, - input_keys: Vec, - output_keys: Vec, - ) -> Result> { - let source_is_url = is_url(path); - let data = if source_is_url { - let response = reqwest::blocking::get(path)?; - response.text()? - } else { - fs::read_to_string(path)? - }; - - let examples: Vec = if lines { - let lines = data.lines().collect::>(); - let span = Span::current(); - - lines - .par_iter() - .map(|line| { - let span = span.clone(); - span.in_scope(|| { - RawExample::new( - serde_json::from_str(line).unwrap(), - input_keys.clone(), - output_keys.clone(), - ) - }) - }) - .collect() - } else { - vec![RawExample::new( - serde_json::from_str(&data).unwrap(), - input_keys.clone(), - output_keys.clone(), - )] - }; - debug!(examples_loaded = examples.len(), "json examples loaded"); + opts: TypedLoadOptions, + ) -> Result>> + where + S::Input: BamlType, + S::Output: BamlType, + { + let rows = Self::load_json_rows(path, lines)?; + let examples = Self::rows_to_typed::(rows, &opts)?; + debug!(examples = examples.len(), "typed json examples loaded"); Ok(examples) } #[tracing::instrument( - name = "dsrs.data.save_json", + name = "dsrs.data.load_json_with", level = "debug", - skip(examples), - fields(examples = examples.len()) + skip(opts, mapper), + fields( + is_url = is_url(path), + lines, + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) )] - /// Saves examples to a JSON file. + /// Load rows from JSON/JSONL and map each row via a custom closure. /// - /// When `lines` is `true`, writes one JSON object per line (JSONL format). - pub fn save_json(path: &str, examples: Vec, lines: bool) -> Result<()> { - let data = if lines { - examples - .into_iter() - .map(|example| serde_json::to_string(&example).unwrap()) - .collect::>() - .join("\n") - } else { - serde_json::to_string(&examples).unwrap() - }; - fs::write(path, data)?; - debug!("json examples saved"); - Ok(()) + /// This bypasses schema-driven conversion and gives full control to the caller. + /// `opts` is accepted for API parity with non-mapper loaders. + pub fn load_json_with( + path: &str, + lines: bool, + opts: TypedLoadOptions, + mapper: F, + ) -> Result>> + where + S: Signature, + F: Fn(&RowRecord) -> Result>, + { + let _ = opts; + let rows = Self::load_json_rows(path, lines)?; + let examples = Self::rows_with_mapper(rows, mapper)?; + debug!(examples = examples.len(), "typed json examples loaded via mapper"); + Ok(examples) } #[tracing::instrument( name = "dsrs.data.load_csv", level = "debug", - skip(input_keys, output_keys), + skip(opts), fields( is_url = is_url(path), - input_keys = input_keys.len(), - output_keys = output_keys.len() + delimiter, + has_headers, + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields ) )] - /// Loads examples from a CSV file or URL. + /// Load typed rows from CSV. /// - /// When `has_headers` is `true`, uses the first row as field names. When `false`, - /// uses `input_keys` and `output_keys` as field names (falling back to `column_0`, - /// `column_1`, etc. if those are also empty). - /// - /// # Errors + /// When `has_headers` is `false`, fields are exposed as `column_{idx}` for + /// mapper-based paths. Signature-based paths should typically use headers. + pub fn load_csv( + path: &str, + delimiter: char, + has_headers: bool, + opts: TypedLoadOptions, + ) -> Result>> + where + S::Input: BamlType, + S::Output: BamlType, + { + let rows = Self::load_csv_rows(path, delimiter, has_headers)?; + let examples = Self::rows_to_typed::(rows, &opts)?; + debug!(examples = examples.len(), "typed csv examples loaded"); + Ok(examples) + } + + #[tracing::instrument( + name = "dsrs.data.load_csv_with", + level = "debug", + skip(opts, mapper), + fields( + is_url = is_url(path), + delimiter, + has_headers, + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) + )] + /// Load rows from CSV and map each row via a custom closure. /// - /// - Network error if `path` is a URL and the request fails - /// - Parse error if the CSV is malformed - pub fn load_csv( + /// This bypasses schema-driven conversion and gives full control to the caller. + /// `opts` is accepted for API parity with non-mapper loaders. + pub fn load_csv_with( path: &str, delimiter: char, - input_keys: Vec, - output_keys: Vec, has_headers: bool, - ) -> Result> { - let mut fallback_field_names = input_keys.clone(); - fallback_field_names.extend(output_keys.clone()); + opts: TypedLoadOptions, + mapper: F, + ) -> Result>> + where + S: Signature, + F: Fn(&RowRecord) -> Result>, + { + let _ = opts; + let rows = Self::load_csv_rows(path, delimiter, has_headers)?; + let examples = Self::rows_with_mapper(rows, mapper)?; + debug!(examples = examples.len(), "typed csv examples loaded via mapper"); + Ok(examples) + } + + #[tracing::instrument( + name = "dsrs.data.load_parquet", + level = "debug", + skip(opts), + fields( + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) + )] + /// Load typed rows from a local Parquet file. + pub fn load_parquet( + path: &str, + opts: TypedLoadOptions, + ) -> Result>> + where + S::Input: BamlType, + S::Output: BamlType, + { + let rows = Self::load_parquet_rows(Path::new(path))?; + let examples = Self::rows_to_typed::(rows, &opts)?; + debug!(examples = examples.len(), "typed parquet examples loaded"); + Ok(examples) + } - let source_is_url = is_url(path); - let (records, header_field_names) = if source_is_url { - let response = reqwest::blocking::get(path)?.bytes()?.to_vec(); - let cursor = Cursor::new(response); + #[tracing::instrument( + name = "dsrs.data.load_parquet_with", + level = "debug", + skip(opts, mapper), + fields( + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) + )] + /// Load rows from Parquet and map each row via a custom closure. + /// + /// This bypasses schema-driven conversion and gives full control to the caller. + /// `opts` is accepted for API parity with non-mapper loaders. + pub fn load_parquet_with( + path: &str, + opts: TypedLoadOptions, + mapper: F, + ) -> Result>> + where + S: Signature, + F: Fn(&RowRecord) -> Result>, + { + let _ = opts; + let rows = Self::load_parquet_rows(Path::new(path))?; + let examples = Self::rows_with_mapper(rows, mapper)?; + debug!(examples = examples.len(), "typed parquet examples loaded via mapper"); + Ok(examples) + } - let mut reader = ReaderBuilder::new() - .delimiter(delimiter as u8) - .has_headers(has_headers) - .from_reader(cursor); + #[tracing::instrument( + name = "dsrs.data.load_hf", + level = "debug", + skip(opts), + fields( + dataset = dataset_name, + subset, + split, + verbose, + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) + )] + /// Load typed rows from a HuggingFace dataset split. + /// + /// Supports Parquet, JSON/JSONL, and CSV artifacts discovered in the dataset + /// repo. `subset` and `split` are substring filters on artifact filenames. + pub fn load_hf( + dataset_name: &str, + subset: &str, + split: &str, + verbose: bool, + opts: TypedLoadOptions, + ) -> Result>> + where + S::Input: BamlType, + S::Output: BamlType, + { + let rows = Self::load_hf_rows(dataset_name, subset, split, verbose)?; + let examples = Self::rows_to_typed::(rows, &opts)?; + debug!(examples = examples.len(), "typed hf examples loaded"); + Ok(examples) + } - let header_field_names = if has_headers { - Some( - reader - .headers()? - .iter() - .map(|header| header.to_string()) - .collect::>(), - ) - } else if !fallback_field_names.is_empty() { - Some(fallback_field_names.clone()) - } else { - None - }; + #[tracing::instrument( + name = "dsrs.data.load_hf_with", + level = "debug", + skip(opts, mapper), + fields( + dataset = dataset_name, + subset, + split, + verbose, + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) + )] + /// Load rows from HuggingFace and map each row via a custom closure. + /// + /// This bypasses schema-driven conversion and gives full control to the caller. + /// `opts` is accepted for API parity with non-mapper loaders. + pub fn load_hf_with( + dataset_name: &str, + subset: &str, + split: &str, + verbose: bool, + opts: TypedLoadOptions, + mapper: F, + ) -> Result>> + where + S: Signature, + F: Fn(&RowRecord) -> Result>, + { + let _ = opts; + let rows = Self::load_hf_rows(dataset_name, subset, split, verbose)?; + let examples = Self::rows_with_mapper(rows, mapper)?; + debug!(examples = examples.len(), "typed hf examples loaded via mapper"); + Ok(examples) + } - let records: Vec<_> = reader.into_records().collect::, _>>()?; + #[tracing::instrument( + name = "dsrs.data.load_hf_from_parquet", + level = "debug", + skip(parquet_files, opts), + fields( + files = parquet_files.len(), + field_map_entries = opts.field_map.len(), + unknown_fields = ?opts.unknown_fields + ) + )] + /// Load typed rows from a local set of Parquet files. + /// + /// This is primarily used for deterministic/offline testing of HF-like data + /// ingestion flows without network calls. + pub fn load_hf_from_parquet( + parquet_files: Vec, + opts: TypedLoadOptions, + ) -> Result>> + where + S::Input: BamlType, + S::Output: BamlType, + { + let rows = Self::load_rows_from_parquet_files(&parquet_files)?; + let examples = Self::rows_to_typed::(rows, &opts)?; + debug!(examples = examples.len(), "typed hf parquet examples loaded"); + Ok(examples) + } + + fn rows_to_typed( + rows: Vec, + opts: &TypedLoadOptions, + ) -> Result>> + where + S::Input: BamlType, + S::Output: BamlType, + { + rows.into_iter() + .map(|row| typed_example_from_row::(&row, opts).map_err(anyhow::Error::from)) + .collect() + } - (records, header_field_names) + fn rows_with_mapper(rows: Vec, mapper: F) -> Result>> + where + S: Signature, + F: Fn(&RowRecord) -> Result>, + { + rows.into_iter() + .map(|row| { + mapper(&row).map_err(|err| DataLoadError::Mapper { + row: row.row_index, + message: err.to_string(), + }) + }) + .map(|result| result.map_err(anyhow::Error::from)) + .collect() + } + + fn fetch_text(path: &str) -> std::result::Result { + if is_url(path) { + let response = reqwest::blocking::get(path) + .with_context(|| format!("failed to GET `{path}`")) + .map_err(DataLoadError::Io)?; + response.text().map_err(|err| DataLoadError::Io(err.into())) } else { + fs::read_to_string(path).map_err(|err| DataLoadError::Io(err.into())) + } + } + + fn load_json_rows(path: &str, lines: bool) -> std::result::Result, DataLoadError> { + let data = Self::fetch_text(path)?; + + if lines { + let mut rows = Vec::new(); + for (idx, line) in data.lines().enumerate() { + if line.trim().is_empty() { + continue; + } + let value: serde_json::Value = serde_json::from_str(line) + .map_err(|err| DataLoadError::Json(anyhow!(err)))?; + rows.push(row_from_json_value(value, idx + 1)?); + } + debug!(rows = rows.len(), "jsonl rows loaded"); + return Ok(rows); + } + + let value: serde_json::Value = serde_json::from_str(&data) + .map_err(|err| DataLoadError::Json(anyhow!(err)))?; + + let rows = match value { + serde_json::Value::Array(items) => items + .into_iter() + .enumerate() + .map(|(idx, item)| row_from_json_value(item, idx + 1)) + .collect::, _>>()?, + other => vec![row_from_json_value(other, 1)?], + }; + + debug!(rows = rows.len(), "json rows loaded"); + Ok(rows) + } + + fn load_csv_rows( + path: &str, + delimiter: char, + has_headers: bool, + ) -> std::result::Result, DataLoadError> { + if is_url(path) { + let bytes = reqwest::blocking::get(path) + .with_context(|| format!("failed to GET `{path}`")) + .map_err(DataLoadError::Csv)? + .bytes() + .map_err(|err| DataLoadError::Csv(err.into()))? + .to_vec(); + + let cursor = Cursor::new(bytes); let mut reader = ReaderBuilder::new() .delimiter(delimiter as u8) .has_headers(has_headers) - .from_path(path)?; - - let header_field_names = if has_headers { - Some( - reader - .headers()? - .iter() - .map(|header| header.to_string()) - .collect::>(), - ) - } else if !fallback_field_names.is_empty() { - Some(fallback_field_names.clone()) - } else { - None - }; + .from_reader(cursor); + return Self::collect_csv_rows(&mut reader, has_headers); + } - let records: Vec<_> = reader.into_records().collect::, _>>()?; + let mut reader = ReaderBuilder::new() + .delimiter(delimiter as u8) + .has_headers(has_headers) + .from_path(path) + .map_err(|err| DataLoadError::Csv(err.into()))?; + Self::collect_csv_rows(&mut reader, has_headers) + } - (records, header_field_names) + fn collect_csv_rows( + reader: &mut csv::Reader, + has_headers: bool, + ) -> std::result::Result, DataLoadError> { + let header_names = if has_headers { + Some( + reader + .headers() + .map_err(|err| DataLoadError::Csv(err.into()))? + .iter() + .map(|header| header.to_string()) + .collect::>(), + ) + } else { + None }; - let span = Span::current(); - let header_field_names = header_field_names.as_deref(); - let examples: Vec = records - .par_iter() - .map(|row| { - let span = span.clone(); - span.in_scope(|| { - string_record_to_example( - row.clone(), - header_field_names, - input_keys.clone(), - output_keys.clone(), - ) - }) + let rows = reader + .records() + .enumerate() + .map(|(idx, record)| { + let record = record.map_err(|err| DataLoadError::Csv(err.into()))?; + Ok(csv_record_to_row_record( + &record, + idx + 1, + header_names.as_deref(), + )) }) - .collect(); + .collect::, DataLoadError>>()?; - debug!(examples_loaded = examples.len(), "csv examples loaded"); - Ok(examples) + debug!(rows = rows.len(), "csv rows loaded"); + Ok(rows) } - #[tracing::instrument( - name = "dsrs.data.save_csv", - level = "debug", - skip(examples), - fields(examples = examples.len()) - )] - /// Saves examples to a CSV file with the given delimiter. - pub fn save_csv(path: &str, examples: Vec, delimiter: char) -> Result<()> { - let mut writer = WriterBuilder::new() - .delimiter(delimiter as u8) - .from_path(path)?; - let headers = examples[0].data.keys().cloned().collect::>(); - writer.write_record(&headers)?; - for example in examples { - writer.write_record( - example - .data - .values() - .map(|value| value.to_string()) - .collect::>(), - )?; - } - debug!("csv examples saved"); - Ok(()) - } + fn load_parquet_rows(path: &Path) -> std::result::Result, DataLoadError> { + let file = fs::File::open(path).map_err(|err| DataLoadError::Parquet(err.into()))?; + let builder = ParquetRecordBatchReaderBuilder::try_new(file) + .map_err(|err| DataLoadError::Parquet(err.into()))?; + let mut reader = builder + .build() + .map_err(|err| DataLoadError::Parquet(err.into()))?; - #[allow(clippy::while_let_on_iterator)] - #[tracing::instrument( - name = "dsrs.data.load_parquet", - level = "debug", - skip(input_keys, output_keys), - fields(input_keys = input_keys.len(), output_keys = output_keys.len()) - )] - /// Loads examples from a local Parquet file. - /// - /// Only reads string columns — other column types are silently skipped. Rows - /// where all columns are null are skipped. - /// - /// Does not support URLs — use [`load_hf`](DataLoader::load_hf) for remote datasets. - /// - /// # Errors - /// - /// - File not found or I/O error - /// - Invalid Parquet format - pub fn load_parquet( - path: &str, - input_keys: Vec, - output_keys: Vec, - ) -> Result> { - let file_path = Path::new(path); - - let file = fs::File::open(file_path)?; - let builder = ParquetRecordBatchReaderBuilder::try_new(file)?; - let mut record_batch_reader = builder.build()?; - - let mut examples = Vec::new(); - while let Some(record_batch_result) = record_batch_reader.next() { - let record_batch = record_batch_result?; - let schema = record_batch.schema(); - let num_rows = record_batch.num_rows(); - - // Process each row - for row_idx in 0..num_rows { - let mut data = HashMap::new(); - - for col_idx in 0..record_batch.num_columns() { - let column = record_batch.column(col_idx); - let column_name = schema.field(col_idx).name(); - - if let Some(string_array) = column.as_any().downcast_ref::() - && !string_array.is_null(row_idx) - { - let value = string_array.value(row_idx); - data.insert(column_name.to_string(), value.to_string().into()); + let mut rows = Vec::new(); + let mut row_index = 1usize; + + while let Some(batch_result) = reader.next() { + let batch = batch_result.map_err(|err| DataLoadError::Parquet(err.into()))?; + let schema = batch.schema(); + + for local_row in 0..batch.num_rows() { + let mut values = HashMap::new(); + + for col_idx in 0..batch.num_columns() { + let column = batch.column(col_idx); + let field_name = schema.field(col_idx).name().to_string(); + + if let Some(value) = parquet_value_to_json(column.as_ref(), local_row) { + values.insert(field_name, value); } } - if !data.is_empty() { - examples.push(RawExample::new(data, input_keys.clone(), output_keys.clone())); + if !values.is_empty() { + rows.push(RowRecord { row_index, values }); } + row_index += 1; } } - debug!(examples_loaded = examples.len(), "parquet examples loaded"); - Ok(examples) + + debug!(rows = rows.len(), "parquet rows loaded"); + Ok(rows) } - #[tracing::instrument( - name = "dsrs.data.load_hf", - level = "debug", - skip(input_keys, output_keys), - fields(input_keys = input_keys.len(), output_keys = output_keys.len()) - )] - /// Loads examples from a HuggingFace Hub dataset. - /// - /// Downloads and caches the dataset locally using `hf_hub`, then loads each - /// file (Parquet, JSON, JSONL, or CSV) that matches the `subset` and `split` - /// filters. Files are loaded in parallel via rayon. - /// - /// # Known issue: silent file errors - /// - /// Individual file load errors are silently swallowed (`.ok()`). If a Parquet - /// file is corrupted or a JSON file is malformed, it's skipped without error and - /// you get fewer examples than expected. Check `examples.len()` against your - /// expectations. Set `verbose = true` to see which files are being loaded. - /// - /// # Errors - /// - /// - HuggingFace API error (auth, dataset not found) - pub fn load_hf( - dataset_id: &str, - input_keys: Vec, - output_keys: Vec, + fn load_rows_from_parquet_files( + parquet_files: &[PathBuf], + ) -> std::result::Result, DataLoadError> { + let mut all_rows = Vec::new(); + let mut next_index = 1usize; + + for file in parquet_files { + let mut rows = Self::load_parquet_rows(file)?; + for row in &mut rows { + row.row_index = next_index; + next_index += 1; + } + all_rows.extend(rows); + } + + Ok(all_rows) + } + + fn load_hf_rows( + dataset_name: &str, subset: &str, split: &str, verbose: bool, - ) -> Result> { - let api = Api::new()?; - let repo = api.dataset(dataset_id.to_string()); - - // Get metadata and list of files using info() - let metadata = repo.info()?; - let files: Vec<&str> = metadata - .siblings - .iter() - .map(|sib| sib.rfilename.as_str()) - .collect(); - debug!(files = files.len(), "hf dataset files discovered"); - let span = Span::current(); - - let examples: Vec<_> = files - .par_iter() - .filter_map(|file: &&str| { - let span = span.clone(); - span.in_scope(|| { - let extension = file.split(".").last().unwrap(); - if !file.ends_with(".parquet") - && !extension.ends_with("json") - && !extension.ends_with("jsonl") - && !extension.ends_with("csv") - { - if verbose { - println!("Skipping file by extension: {file}"); - debug!(file = *file, "skipping hf file by extension"); - } - return None; - } + ) -> std::result::Result, DataLoadError> { + let api = Api::new().map_err(|err| DataLoadError::Hf(err.into()))?; + let repo = api.dataset(dataset_name.to_string()); + let metadata = repo.info().map_err(|err| DataLoadError::Hf(err.into()))?; - if (!subset.is_empty() && !file.contains(subset)) - || (!split.is_empty() && !file.contains(split)) - { - if verbose { - println!("Skipping file by subset or split: {file}"); - debug!(file = *file, "skipping hf file by subset/split"); - } - return None; - } + let mut rows = Vec::new(); + let mut next_index = 1usize; - let file_path = repo.get(file).unwrap(); - let os_str = file_path.as_os_str().to_str().unwrap(); + for sibling in metadata.siblings { + let file = sibling.rfilename; - if verbose { - println!("Loading file: {os_str}"); - debug!(path = os_str, "loading hf file"); - } + if (!subset.is_empty() && !file.contains(subset)) + || (!split.is_empty() && !file.contains(split)) + { + continue; + } - if os_str.ends_with(".parquet") { - DataLoader::load_parquet(os_str, input_keys.clone(), output_keys.clone()) - .ok() - } else if os_str.ends_with(".json") || os_str.ends_with(".jsonl") { - let is_jsonl = os_str.ends_with(".jsonl"); - DataLoader::load_json( - os_str, - is_jsonl, - input_keys.clone(), - output_keys.clone(), - ) - .ok() - } else if os_str.ends_with(".csv") { - DataLoader::load_csv( - os_str, - ',', - input_keys.clone(), - output_keys.clone(), - true, - ) - .ok() - } else { - None - } - }) - }) - .flatten() - .collect(); + let supported = file.ends_with(".parquet") + || file.ends_with(".json") + || file.ends_with(".jsonl") + || file.ends_with(".csv"); + if !supported { + continue; + } + + let file_path = repo.get(&file).map_err(|err| DataLoadError::Hf(err.into()))?; + let path_str = file_path + .to_str() + .ok_or_else(|| DataLoadError::Io(anyhow!("invalid UTF-8 file path")))?; + + if verbose { + println!("Loading file: {path_str}"); + } + + let mut file_rows = if file.ends_with(".parquet") { + Self::load_parquet_rows(&file_path)? + } else if file.ends_with(".json") || file.ends_with(".jsonl") { + Self::load_json_rows(path_str, file.ends_with(".jsonl"))? + } else { + Self::load_csv_rows(path_str, ',', true)? + }; + + for row in &mut file_rows { + row.row_index = next_index; + next_index += 1; + } + + rows.extend(file_rows); + } if verbose { - println!("Loaded {} examples", examples.len()); + println!("Loaded {} rows", rows.len()); } - debug!(examples_loaded = examples.len(), "hf examples loaded"); - Ok(examples) + + debug!(rows = rows.len(), "hf rows loaded"); + Ok(rows) } } + +fn resolve_source_field<'a>(field: &'a str, opts: &'a TypedLoadOptions) -> &'a str { + opts.field_map.get(field).map(String::as_str).unwrap_or(field) +} + +fn typed_example_from_row( + row: &RowRecord, + opts: &TypedLoadOptions, +) -> std::result::Result, DataLoadError> +where + S::Input: BamlType, + S::Output: BamlType, +{ + let schema = S::schema(); + let mut used_source_fields = HashSet::new(); + + let input_map = baml_map_for_fields( + row, + schema + .input_fields() + .iter() + .map(|field| field.rust_name.as_str()), + opts, + &mut used_source_fields, + )?; + + let output_map = baml_map_for_fields( + row, + schema + .output_fields() + .iter() + .map(|field| field.rust_name.as_str()), + opts, + &mut used_source_fields, + )?; + + if opts.unknown_fields == UnknownFieldPolicy::Error { + for key in row.values.keys() { + if !used_source_fields.contains(key) { + return Err(DataLoadError::UnknownField { + row: row.row_index, + field: key.clone(), + }); + } + } + } + + let input = S::Input::try_from_baml_value(BamlValue::Map(input_map)).map_err(|err| { + DataLoadError::TypeMismatch { + row: row.row_index, + field: "input".to_string(), + message: err.to_string(), + } + })?; + + let output = S::Output::try_from_baml_value(BamlValue::Map(output_map)).map_err(|err| { + DataLoadError::TypeMismatch { + row: row.row_index, + field: "output".to_string(), + message: err.to_string(), + } + })?; + + Ok(TypedExample::new(input, output)) +} + +fn baml_map_for_fields<'a>( + row: &RowRecord, + signature_fields: impl Iterator, + opts: &TypedLoadOptions, + used_source_fields: &mut HashSet, +) -> std::result::Result, DataLoadError> { + let mut map = BamlMap::new(); + + for signature_field in signature_fields { + let source_field = resolve_source_field(signature_field, opts); + let value = row + .values + .get(source_field) + .ok_or_else(|| DataLoadError::MissingField { + row: row.row_index, + field: signature_field.to_string(), + })?; + + let baml_value = BamlValue::try_from(value.clone()).map_err(|err| DataLoadError::TypeMismatch { + row: row.row_index, + field: signature_field.to_string(), + message: err.to_string(), + })?; + + map.insert(signature_field.to_string(), baml_value); + used_source_fields.insert(source_field.to_string()); + } + + Ok(map) +} + +fn row_from_json_value( + value: serde_json::Value, + row_index: usize, +) -> std::result::Result { + let object = value.as_object().ok_or_else(|| { + DataLoadError::Json(anyhow!( + "row {row_index}: expected JSON object, got {}", + value + )) + })?; + + Ok(RowRecord { + row_index, + values: object.iter().map(|(k, v)| (k.clone(), v.clone())).collect(), + }) +} + +fn parse_csv_cell(cell: &str) -> serde_json::Value { + let trimmed = cell.trim(); + if trimmed.is_empty() { + return serde_json::Value::String(String::new()); + } + + serde_json::from_str::(trimmed) + .unwrap_or_else(|_| serde_json::Value::String(cell.to_string())) +} + +fn csv_record_to_row_record( + record: &StringRecord, + row_index: usize, + headers: Option<&[String]>, +) -> RowRecord { + let mut values = HashMap::new(); + + for (idx, cell) in record.iter().enumerate() { + let key = headers + .and_then(|items| items.get(idx)) + .cloned() + .unwrap_or_else(|| format!("column_{idx}")); + values.insert(key, parse_csv_cell(cell)); + } + + RowRecord { row_index, values } +} + +fn parquet_value_to_json(column: &dyn Array, row_idx: usize) -> Option { + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + if let Some(values) = column.as_any().downcast_ref::() { + return (!values.is_null(row_idx)).then(|| serde_json::json!(values.value(row_idx))); + } + + None +} diff --git a/crates/dspy-rs/src/data/mod.rs b/crates/dspy-rs/src/data/mod.rs index 1bd5f8c1..09c73049 100644 --- a/crates/dspy-rs/src/data/mod.rs +++ b/crates/dspy-rs/src/data/mod.rs @@ -1,18 +1,12 @@ -//! Data loading and example types. +//! Data loading and runtime row types. //! -//! Two example types serve different layers: +//! Typed ingestion is now first-class: //! -//! - **[`RawExample`]** (aliased from `example::Example`) — untyped key-value pairs with -//! explicit `input_keys`/`output_keys`. Used by the data loaders, the optimizer's -//! dynamic predictor bridge, and serialization. This is the wire format for examples. +//! - [`DataLoader`] provides `load_*` methods that return +//! [`Example`](crate::predictors::Example) directly. +//! - Typed examples flow directly into evaluation and optimizer APIs. //! -//! - **[`Example`](crate::predictors::Example)** (in `predictors`) — typed input/output -//! pair anchored to a [`Signature`](crate::Signature). Used by [`Predict`](crate::Predict) -//! for demos and by [`TypedMetric`](crate::TypedMetric) for evaluation. This is what -//! users work with. -//! -//! [`DataLoader`] reads JSON, CSV, Parquet, and HuggingFace datasets into `Vec`. -//! To use with typed modules, convert via the signature's schema. +//! The untyped row type (`RawExample`) remains for internal runtime/tracing/cache bridges. pub mod dataloader; pub mod example; diff --git a/crates/dspy-rs/src/data/utils.rs b/crates/dspy-rs/src/data/utils.rs index 02ef9f41..d4949324 100644 --- a/crates/dspy-rs/src/data/utils.rs +++ b/crates/dspy-rs/src/data/utils.rs @@ -1,53 +1,13 @@ -use crate::data::example::Example; -use csv::StringRecord; - use regex::Regex; use std::sync::LazyLock; #[allow(dead_code)] static IS_URL_PAT: LazyLock = LazyLock::new(|| { - Regex::new("((http|https)://)(www.)?[a-zA-Z0-9@:%._\\+~#?&//=]{2,256}\\.[a-z]{2,6}\\b([-a-zA-Z0-9@:%._\\+~#?&//=]*)" -).unwrap() -}); - -/// Converts a CSV [`StringRecord`] into a [`RawExample`](crate::RawExample). -/// -/// If `field_names` is provided and matches the record length, uses those as keys. -/// Otherwise falls back to `column_0`, `column_1`, etc. -pub fn string_record_to_example( - record: StringRecord, - field_names: Option<&[String]>, - input_keys: Vec, - output_keys: Vec, -) -> Example { - let pairs = if let Some(names) = field_names { - if names.len() == record.len() { - names - .iter() - .zip(record.iter()) - .map(|(name, cell)| (name.clone(), cell.to_string().into())) - .collect() - } else { - record - .iter() - .enumerate() - .map(|(idx, cell)| (format!("column_{idx}"), cell.to_string().into())) - .collect() - } - } else { - record - .iter() - .enumerate() - .map(|(idx, cell)| (format!("column_{idx}"), cell.to_string().into())) - .collect() - }; - - Example::new( - pairs, - input_keys.clone(), - output_keys.clone(), + Regex::new( + "((http|https)://)(www.)?[a-zA-Z0-9@:%._\\+~#?&//=]{2,256}\\.[a-z]{2,6}\\b([-a-zA-Z0-9@:%._\\+~#?&//=]*)", ) -} + .unwrap() +}); /// Returns `true` if the string looks like an HTTP(S) URL. pub fn is_url(path: &str) -> bool { diff --git a/crates/dspy-rs/tests/test_dataloader.rs b/crates/dspy-rs/tests/test_dataloader.rs index b67edcc3..16826b8f 100644 --- a/crates/dspy-rs/tests/test_dataloader.rs +++ b/crates/dspy-rs/tests/test_dataloader.rs @@ -1,293 +1,532 @@ -use anyhow::Result; -use dspy_rs::data::dataloader::DataLoader; -use rstest::rstest; +use anyhow::{Result, anyhow}; +use arrow::array::{ArrayRef, Int64Array, StringArray}; +use arrow::datatypes::{DataType, Field, Schema}; +use arrow::record_batch::RecordBatch; +use bon::Builder; +use dspy_rs::{ + COPRO, CallMetadata, DataLoader, Example, MetricOutcome, Module, Optimizer, Predict, + PredictError, Predicted, Signature, TypedLoadOptions, TypedMetric, UnknownFieldPolicy, + average_score, evaluate_trainset, +}; +use facet; +use parquet::arrow::ArrowWriter; +use std::collections::HashMap; +use std::fs; +use std::path::{Path, PathBuf}; +use std::sync::Arc; +use tempfile::tempdir; + +#[derive(Signature, Clone, Debug)] +struct LoaderSig { + #[input] + question: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug)] +struct NumericSig { + #[input] + value: i64, + + #[output] + doubled: i64, +} -fn should_run_network_tests() -> bool { - std::env::var("DSPY_RS_NETWORK_TESTS").is_ok() +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] +struct EchoModule { + #[builder(default = Predict::::builder().instruction("seed").build())] + predictor: Predict, } -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_hf_awesome_chatgpt_prompts() -> Result<()> { - if !should_run_network_tests() { - return Ok(()); +impl Module for EchoModule { + type Input = LoaderSigInput; + type Output = LoaderSigOutput; + + async fn forward(&self, input: LoaderSigInput) -> Result, PredictError> { + let _ = &self.predictor; + Ok(Predicted::new( + LoaderSigOutput { + answer: input.question, + }, + CallMetadata::default(), + )) } - // Load the HuggingFace dataset - let input_keys = vec!["events".to_string(), "inputs".to_string()]; - let output_keys = vec!["output".to_string()]; - - let examples = DataLoader::load_hf( - "zed-industries/zeta", - input_keys.clone(), - output_keys.clone(), - "", // No specific subset - "train", // Split to load - true, // Not verbose - )?; +} - // Verify we got some data - assert!( - !examples.is_empty(), - "Should have loaded some examples from HuggingFace dataset" - ); - - // Check the first example has the expected structure - let first_example = &examples[0]; - - // Print available keys to debug - - // Verify input and output keys are set correctly - assert_eq!(first_example.input_keys, input_keys); - assert_eq!(first_example.output_keys, output_keys); - - // Check what fields are actually present - let has_act = first_example.data.contains_key("act"); - let has_prompt = first_example.data.contains_key("prompt"); - - // Verify the data contains the expected fields (this will now provide better error info) - assert!( - has_act || !first_example.keys().is_empty(), - "Example should contain 'act' field or have some data. Available fields: {:?}", - first_example.keys() - ); - assert!( - has_prompt || !first_example.keys().is_empty(), - "Example should contain 'prompt' field or have some data. Available fields: {:?}", - first_example.keys() - ); - - // If expected fields exist, verify they're not empty - if has_act && has_prompt { - let act_value = first_example.get("act", None); - let prompt_value = first_example.get("prompt", None); - assert!(!act_value.is_null(), "act field should not be null"); - assert!(!prompt_value.is_null(), "prompt field should not be null"); - - // Convert to string for display - let act_str = act_value.as_str().unwrap_or(""); - let prompt_str = prompt_value.as_str().unwrap_or(""); - assert!(!act_str.is_empty(), "act field should not be empty"); - assert!(!prompt_str.is_empty(), "prompt field should not be empty"); +struct ExactMatch; + +impl TypedMetric for ExactMatch { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { + let score = (example.output.answer == prediction.answer) as u8 as f32; + Ok(MetricOutcome::score(score)) } +} +fn write_file(path: &Path, contents: &str) -> Result<()> { + fs::write(path, contents)?; Ok(()) } -// Test loading CSV from URL: snakes_count_10.csv -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_csv_from_url() -> Result<()> { - if !should_run_network_tests() { - return Ok(()); - } - let url = "https://people.sc.fsu.edu/~jburkardt/data/csv/snakes_count_10.csv"; - let input_keys = vec!["Game Number".to_string()]; - let output_keys = vec!["Game Length".to_string()]; - - let examples = DataLoader::load_csv( - url, - ',', // delimiter - input_keys.clone(), - output_keys.clone(), - true, // has headers +fn write_qa_parquet(path: &Path, questions: &[&str], answers: &[&str]) -> Result<()> { + let schema = Arc::new(Schema::new(vec![ + Field::new("question", DataType::Utf8, false), + Field::new("answer", DataType::Utf8, false), + ])); + + let question_col: ArrayRef = Arc::new(StringArray::from(questions.to_vec())); + let answer_col: ArrayRef = Arc::new(StringArray::from(answers.to_vec())); + let batch = RecordBatch::try_new(schema.clone(), vec![question_col, answer_col])?; + + let file = fs::File::create(path)?; + let mut writer = ArrowWriter::try_new(file, schema, None)?; + writer.write(&batch)?; + writer.close()?; + Ok(()) +} + +fn write_numeric_parquet(path: &Path, values: &[i64], doubled: &[i64]) -> Result<()> { + let schema = Arc::new(Schema::new(vec![ + Field::new("value", DataType::Int64, false), + Field::new("doubled", DataType::Int64, false), + ])); + + let value_col: ArrayRef = Arc::new(Int64Array::from(values.to_vec())); + let doubled_col: ArrayRef = Arc::new(Int64Array::from(doubled.to_vec())); + let batch = RecordBatch::try_new(schema.clone(), vec![value_col, doubled_col])?; + + let file = fs::File::create(path)?; + let mut writer = ArrowWriter::try_new(file, schema, None)?; + writer.write(&batch)?; + writer.close()?; + Ok(()) +} + +#[test] +fn csv_typed_success_path() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file( + &path, + "question,answer\nWhat is 2+2?,4\nCapital of France?,Paris\n", )?; - // Verify we got some data - assert!( - !examples.is_empty(), - "Should have loaded some examples from CSV" - ); - assert_eq!( - examples.len(), - 10, - "Should have loaded exactly 10 game records" - ); - - // Check the first example - let first_example = &examples[0]; - - // Verify input and output keys are set correctly - assert_eq!(first_example.input_keys, input_keys); - assert_eq!(first_example.output_keys, output_keys); - - // Verify we have data (columns should be indexed as 0, 1, etc for CSV without named headers) - assert!( - !first_example.data.is_empty(), - "Example should contain data" - ); + let examples = DataLoader::load_csv::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions::default(), + )?; + assert_eq!(examples.len(), 2); + assert_eq!(examples[0].input.question, "What is 2+2?"); + assert_eq!(examples[0].output.answer, "4"); Ok(()) } -// Test loading JSON from URL: grok-2 config.json -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_json_from_url() -> Result<()> { - if !should_run_network_tests() { - return Ok(()); - } - let url = "https://huggingface.co/xai-org/grok-2/raw/main/config.json"; - let input_keys = vec!["vocab_size".to_string(), "hidden_size".to_string()]; - let output_keys = vec![]; // No output keys for this config file - - // This is a single JSON object, not JSON lines - let examples = DataLoader::load_json( - url, - false, // not JSON lines - input_keys.clone(), - output_keys.clone(), +#[test] +fn csv_unknown_extra_columns_ignored_by_default() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file( + &path, + "question,answer,notes\nWhat is 2+2?,4,math\nCapital of France?,Paris,geo\n", )?; - // For a single JSON object, we expect it to be parsed as a single Example - // or as an array of Examples depending on the structure - assert!(!examples.is_empty(), "Should have loaded data from JSON"); + let examples = DataLoader::load_csv::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions::default(), + )?; - // Get the first (and likely only) example - let config_example = &examples[0]; + assert_eq!(examples.len(), 2); + Ok(()) +} - // Verify the data contains the expected fields - assert!( - config_example.data.contains_key("vocab_size"), - "Config should contain 'vocab_size' field" - ); - assert!( - config_example.data.contains_key("hidden_size"), - "Config should contain 'hidden_size' field" - ); +#[test] +fn csv_unknown_columns_error_when_policy_is_error() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file( + &path, + "question,answer,notes\nWhat is 2+2?,4,math\n", + )?; + + let err = DataLoader::load_csv::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions { + field_map: HashMap::new(), + unknown_fields: UnknownFieldPolicy::Error, + }, + ) + .expect_err("unknown field policy should fail when extra columns exist"); + + assert!(err.to_string().contains("unknown field `notes`")); + Ok(()) +} - // Get and verify the values - let vocab_size = config_example.get("vocab_size", None); - let hidden_size = config_example.get("hidden_size", None); +#[test] +fn csv_missing_required_input_field_errors() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file(&path, "answer\n4\n")?; - assert!(!vocab_size.is_null(), "vocab_size should not be null"); - assert!(!hidden_size.is_null(), "hidden_size should not be null"); + let err = DataLoader::load_csv::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions::default(), + ) + .expect_err("missing question field should fail"); + assert!(err.to_string().contains("missing field `question`")); Ok(()) } -// Additional test: Load JSON with specific structure verification -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_json_grok2_with_multiple_fields() -> Result<()> { - if !should_run_network_tests() { - return Ok(()); - } - let url = "https://huggingface.co/xai-org/grok-2/raw/main/config.json"; - - // Test loading with more comprehensive input keys - let input_keys = vec![ - "vocab_size".to_string(), - "hidden_size".to_string(), - "intermediate_size".to_string(), - "num_hidden_layers".to_string(), - ]; - let output_keys = vec![]; - - let examples = DataLoader::load_json(url, false, input_keys.clone(), output_keys.clone())?; - - assert!(!examples.is_empty(), "Should have loaded data from JSON"); - - let config = &examples[0]; - - // Verify all requested input fields exist - for key in &input_keys { - assert!( - config.data.contains_key(key), - "Config should contain '{key}' field" - ); - let value = config.get(key, None); - assert!(!value.is_null(), "{key} should not be null"); - } +#[test] +fn csv_missing_required_output_field_errors() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file(&path, "question\nWhat is 2+2?\n")?; + + let err = DataLoader::load_csv::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions::default(), + ) + .expect_err("missing answer field should fail"); + assert!(err.to_string().contains("missing field `answer`")); Ok(()) } -// Test CSV with headers parsing -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_csv_verify_columns() -> Result<()> { - if !should_run_network_tests() { - return Ok(()); - } - // First, let's load without specifying input/output keys to see all columns - let url = "https://people.sc.fsu.edu/~jburkardt/data/csv/snakes_count_10.csv"; - let examples = DataLoader::load_csv( - url, +#[test] +fn csv_mapper_overload_success() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file(&path, "q,a\nWhat is 2+2?,4\n")?; + + let examples = DataLoader::load_csv_with::( + path.to_str().unwrap(), ',', - vec![], // No specific input keys - vec![], // No specific output keys - true, // has headers + true, + TypedLoadOptions::default(), + |row| { + Ok(Example::new( + LoaderSigInput { + question: row.get::("q")?, + }, + LoaderSigOutput { + answer: row.get::("a")?, + }, + )) + }, )?; - assert!(!examples.is_empty(), "Should have loaded examples"); + assert_eq!(examples.len(), 1); + assert_eq!(examples[0].input.question, "What is 2+2?"); + assert_eq!(examples[0].output.answer, "4"); + Ok(()) +} - // Examine the structure of the data - let first_example = &examples[0]; - let keys = first_example.keys(); +#[test] +fn csv_mapper_overload_error_includes_row_index() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file(&path, "q,a\nWhat is 2+2?,4\n")?; - // Verify we have exactly 10 rows (games) - assert_eq!(examples.len(), 10, "Should have 10 game records"); + let err = DataLoader::load_csv_with::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions::default(), + |_row| Err(anyhow!("custom mapper failure")), + ) + .expect_err("mapper failure should surface as row-indexed error"); - // Verify each example has the same structure - for (i, example) in examples.iter().enumerate() { - assert_eq!( - example.keys().len(), - keys.len(), - "Row {i} should have same number of columns" - ); - } + assert!(err.to_string().contains("mapper error at row 1")); + assert!(err.to_string().contains("custom mapper failure")); + Ok(()) +} + +#[test] +fn json_array_typed_success() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.json"); + write_file( + &path, + r#"[{"question":"What is 2+2?","answer":"4"},{"question":"Capital of France?","answer":"Paris"}]"#, + )?; + + let examples = DataLoader::load_json::( + path.to_str().unwrap(), + false, + TypedLoadOptions::default(), + )?; + assert_eq!(examples.len(), 2); + assert_eq!(examples[1].output.answer, "Paris"); Ok(()) } -// Test error handling for invalid URLs -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_invalid_url_handling() { - if !should_run_network_tests() { - return; - } - let invalid_url = "https://invalid-url-that-does-not-exist.com/data.csv"; +#[test] +fn json_mapper_overload_success() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.json"); + write_file( + &path, + r#"[{"prompt":"What is 2+2?","gold":"4"},{"prompt":"Capital of France?","gold":"Paris"}]"#, + )?; + + let examples = DataLoader::load_json_with::( + path.to_str().unwrap(), + false, + TypedLoadOptions::default(), + |row| { + Ok(Example::new( + LoaderSigInput { + question: row.get::("prompt")?, + }, + LoaderSigOutput { + answer: row.get::("gold")?, + }, + )) + }, + )?; + + assert_eq!(examples.len(), 2); + assert_eq!(examples[0].input.question, "What is 2+2?"); + assert_eq!(examples[1].output.answer, "Paris"); + Ok(()) +} - let result = DataLoader::load_csv( - invalid_url, +#[test] +fn json_mapper_overload_error_includes_row_index() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.json"); + write_file( + &path, + r#"[{"question":"What is 2+2?","answer":"4"}]"#, + )?; + + let err = DataLoader::load_json_with::( + path.to_str().unwrap(), + false, + TypedLoadOptions::default(), + |_row| Err(anyhow!("json mapper failed")), + ) + .expect_err("mapper failure should surface as row-indexed error"); + + assert!(err.to_string().contains("mapper error at row 1")); + assert!(err.to_string().contains("json mapper failed")); + Ok(()) +} + +#[test] +fn jsonl_typed_success() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.jsonl"); + write_file( + &path, + r#"{"question":"What is 2+2?","answer":"4"} +{"question":"Capital of France?","answer":"Paris"} +"#, + )?; + + let examples = DataLoader::load_json::( + path.to_str().unwrap(), + true, + TypedLoadOptions::default(), + )?; + + assert_eq!(examples.len(), 2); + assert_eq!(examples[0].input.question, "What is 2+2?"); + Ok(()) +} + +#[test] +fn json_type_mismatch_errors() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("bad.json"); + write_file( + &path, + r#"[{"value":"not-an-int","doubled":2}]"#, + )?; + + let err = DataLoader::load_json::( + path.to_str().unwrap(), + false, + TypedLoadOptions::default(), + ) + .expect_err("invalid numeric input should fail conversion"); + + assert!(err.to_string().contains("type mismatch")); + Ok(()) +} + +#[test] +fn jsonl_type_mismatch_errors() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("bad.jsonl"); + write_file( + &path, + r#"{"value":1,"doubled":"not-an-int"} +"#, + )?; + + let err = DataLoader::load_json::( + path.to_str().unwrap(), + true, + TypedLoadOptions::default(), + ) + .expect_err("invalid numeric output should fail conversion"); + + assert!(err.to_string().contains("type mismatch")); + Ok(()) +} + +#[test] +fn parquet_typed_success_path() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.parquet"); + write_qa_parquet( + &path, + &["What is 2+2?", "Capital of France?"], + &["4", "Paris"], + )?; + + let examples = DataLoader::load_parquet::( + path.to_str().unwrap(), + TypedLoadOptions::default(), + )?; + + assert_eq!(examples.len(), 2); + assert_eq!(examples[1].output.answer, "Paris"); + Ok(()) +} + +#[test] +fn parquet_mapper_overload_success() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.parquet"); + write_qa_parquet(&path, &["Q1"], &["A1"])?; + + let examples = DataLoader::load_parquet_with::( + path.to_str().unwrap(), + TypedLoadOptions::default(), + |row| { + Ok(Example::new( + LoaderSigInput { + question: row.get::("question")?, + }, + LoaderSigOutput { + answer: row.get::("answer")?, + }, + )) + }, + )?; + + assert_eq!(examples.len(), 1); + assert_eq!(examples[0].input.question, "Q1"); + assert_eq!(examples[0].output.answer, "A1"); + Ok(()) +} + +#[test] +fn hf_typed_from_parquet_success_path() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.parquet"); + write_qa_parquet(&path, &["Q1", "Q2"], &["A1", "A2"])?; + + let examples = DataLoader::load_hf_from_parquet::( + vec![PathBuf::from(&path)], + TypedLoadOptions::default(), + )?; + + assert_eq!(examples.len(), 2); + assert_eq!(examples[0].output.answer, "A1"); + Ok(()) +} + +#[test] +fn typed_loader_field_remap_supports_input_and_output() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file(&path, "prompt,completion\nWhat is 2+2?,4\n")?; + + let mut field_map = HashMap::new(); + field_map.insert("question".to_string(), "prompt".to_string()); + field_map.insert("answer".to_string(), "completion".to_string()); + + let examples = DataLoader::load_csv::( + path.to_str().unwrap(), ',', - vec!["col1".to_string()], - vec!["col2".to_string()], true, - ); + TypedLoadOptions { + field_map, + unknown_fields: UnknownFieldPolicy::Ignore, + }, + )?; - assert!(result.is_err(), "Should fail when loading from invalid URL"); + assert_eq!(examples.len(), 1); + assert_eq!(examples[0].input.question, "What is 2+2?"); + assert_eq!(examples[0].output.answer, "4"); + Ok(()) } -// Test HuggingFace dataset with specific split -#[rstest] -#[cfg_attr(miri, ignore = "MIRI has issues with network operations")] -fn test_load_hf_with_verbose() -> Result<()> { - if !should_run_network_tests() { - return Ok(()); - } - let input_keys = vec!["events".to_string(), "inputs".to_string()]; - let output_keys = vec!["output".to_string()]; - - // Load with verbose output to see what files are being processed - let examples = DataLoader::load_hf( - "zed-industries/zeta", - input_keys.clone(), - output_keys.clone(), - "", // No specific subset - "train", // Split - true, // Verbose - will print loading information +#[test] +fn parquet_numeric_round_trip_for_typed_conversion() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("numeric.parquet"); + write_numeric_parquet(&path, &[1, 2, 3], &[2, 4, 6])?; + + let examples = DataLoader::load_parquet::( + path.to_str().unwrap(), + TypedLoadOptions::default(), )?; - assert!(!examples.is_empty(), "Should have loaded examples"); + assert_eq!(examples.len(), 3); + assert_eq!(examples[2].output.doubled, 6); + Ok(()) +} - // Verify data integrity - for example in examples.iter().take(3) { - // Verify structure - assert_eq!(example.input_keys, input_keys); - assert_eq!(example.output_keys, output_keys); - } +#[tokio::test] +async fn typed_loader_outputs_feed_evaluator_and_optimizer_paths() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("train.csv"); + write_file( + &path, + "question,answer\none,one\ntwo,two\n", + )?; + + let trainset = DataLoader::load_csv::( + path.to_str().unwrap(), + ',', + true, + TypedLoadOptions::default(), + )?; + + let metric = ExactMatch; + let mut module = EchoModule::builder().build(); + + let outcomes = evaluate_trainset(&module, &trainset, &metric).await?; + assert_eq!(outcomes.len(), 2); + assert_eq!(average_score(&outcomes), 1.0); + + let optimizer = COPRO::builder().breadth(2).depth(1).build(); + optimizer + .compile::(&mut module, trainset, &metric) + .await?; Ok(()) } diff --git a/docs/docs.json b/docs/docs.json index 90ff4b74..53455c87 100644 --- a/docs/docs.json +++ b/docs/docs.json @@ -35,6 +35,7 @@ "pages": [ "docs/building-blocks/types", "docs/building-blocks/constraints", + "docs/data/dataloader", "docs/data/examples", "docs/data/prediction" ] diff --git a/docs/docs/data/dataloader.mdx b/docs/docs/data/dataloader.mdx new file mode 100644 index 00000000..53963ce7 --- /dev/null +++ b/docs/docs/data/dataloader.mdx @@ -0,0 +1,136 @@ +--- +title: "DataLoader" +description: "Typed data ingestion into `Vec>`." +icon: "database" +--- + +`DataLoader` is the canonical ingestion path for training and evaluation data. + +Every loader returns `Vec>` directly, so you can pass results into: +- `evaluate_trainset` +- `optimizer.compile::(...)` + +No manual `RawExample -> Example` conversion is required. + +## Core API + +```rust +use dspy_rs::{DataLoader, Example, Signature, TypedLoadOptions}; +``` + +Typed loaders: +- `DataLoader::load_json::(...)` +- `DataLoader::load_csv::(...)` +- `DataLoader::load_parquet::(...)` +- `DataLoader::load_hf::(...)` +- `DataLoader::load_hf_from_parquet::(...)` (deterministic/offline helper) + +Mapper overloads: +- `DataLoader::load_json_with::(...)` +- `DataLoader::load_csv_with::(...)` +- `DataLoader::load_parquet_with::(...)` +- `DataLoader::load_hf_with::(...)` + +## Default Behavior + +`TypedLoadOptions::default()`: +- Ignores unknown source fields. +- Errors on missing required signature fields. +- Uses signature field names directly unless remapped. + +```rust +use dspy_rs::{DataLoader, Signature, TypedLoadOptions}; + +#[derive(Signature, Clone, Debug)] +struct QA { + #[input] + question: String, + #[output] + answer: String, +} + +let trainset = DataLoader::load_csv::( + "data/train.csv", + ',', + true, + TypedLoadOptions::default(), +)?; +``` + +## Field Remapping + +Use `TypedLoadOptions.field_map` when source column names differ from signature names. + +```rust +use std::collections::HashMap; +use dspy_rs::{DataLoader, TypedLoadOptions, UnknownFieldPolicy}; + +let mut field_map = HashMap::new(); +field_map.insert("question".to_string(), "prompt".to_string()); +field_map.insert("answer".to_string(), "completion".to_string()); + +let trainset = DataLoader::load_csv::( + "data/custom.csv", + ',', + true, + TypedLoadOptions { + field_map, + unknown_fields: UnknownFieldPolicy::Ignore, + }, +)?; +``` + +## Custom Mapping + +Use mapper overloads for fully custom row conversion logic. + +```rust +use dspy_rs::{DataLoader, Example, TypedLoadOptions}; + +let trainset = DataLoader::load_json_with::( + "data/train.jsonl", + true, + TypedLoadOptions::default(), + |row| { + Ok(Example::new( + QAInput { + question: row.get::("prompt")?, + }, + QAOutput { + answer: row.get::("gold")?, + }, + )) + }, +)?; +``` + +Mapper errors are row-indexed and surfaced with `DataLoadError::Mapper`. + +## Unknown Field Policy + +`UnknownFieldPolicy` controls how extra source fields are handled: +- `Ignore` (default): extra source fields are ignored. +- `Error`: extra source fields fail load with row+field information. + +## Error Model + +Typed loader failures include row-level context where relevant: +- `MissingField { row, field }` +- `UnknownField { row, field }` +- `TypeMismatch { row, field, message }` +- `Mapper { row, message }` + +Source-level errors are wrapped with transport/format variants: +- `Io`, `Csv`, `Json`, `Parquet`, `Hf` + +## Migration Note + +Removed raw loader signatures: +- `load_json(path, input_keys, output_keys)` +- `load_csv(path, delimiter, has_headers, input_keys, output_keys)` +- `load_parquet(path, input_keys, output_keys)` +- `load_hf(dataset_name, subset, split, input_keys, output_keys, verbose)` +- `save_json(...)` +- `save_csv(...)` + +Use the typed `load_*` / `load_*_with` APIs instead. diff --git a/docs/docs/data/examples.mdx b/docs/docs/data/examples.mdx index 37533ec1..93297830 100644 --- a/docs/docs/data/examples.mdx +++ b/docs/docs/data/examples.mdx @@ -2,4 +2,33 @@ title: "Example" description: "Explore data currency that makes up DSRs." icon: "table" ---- \ No newline at end of file +--- + +`Example` is the typed training/evaluation row for a signature `S`. + +```rust +use dspy_rs::{Example, Signature}; + +#[derive(Signature, Clone, Debug)] +struct QA { + #[input] + question: String, + #[output] + answer: String, +} + +let row = Example::new( + QAInput { + question: "What is 2+2?".to_string(), + }, + QAOutput { + answer: "4".to_string(), + }, +); +``` + +Use `Vec>` for: +- `evaluate_trainset(...)` +- `optimizer.compile::(...)` + +For file/dataset ingestion, use [`DataLoader`](/docs/data/dataloader). diff --git a/docs/docs/optimizers/copro.mdx b/docs/docs/optimizers/copro.mdx index 118bf30e..5e46917e 100644 --- a/docs/docs/optimizers/copro.mdx +++ b/docs/docs/optimizers/copro.mdx @@ -111,12 +111,16 @@ async fn main() -> Result<()> { .build(); let metric = ExactMatchMetric; - copro.compile::(&mut module, trainset, &metric).await?; +copro.compile::(&mut module, trainset, &metric).await?; Ok(()) } ``` +### Typed Data Loading + +Use the shared data ingress guide: [`DataLoader`](/docs/data/dataloader). + ## When to Use COPRO **Best for:** diff --git a/docs/docs/optimizers/miprov2.mdx b/docs/docs/optimizers/miprov2.mdx index 45926e08..9c3e9655 100644 --- a/docs/docs/optimizers/miprov2.mdx +++ b/docs/docs/optimizers/miprov2.mdx @@ -80,6 +80,10 @@ let metric = ExactMatchMetric; optimizer.compile(&mut module, train_examples, &metric).await?; ``` +### Typed Data Loading + +Use the shared data ingress guide: [`DataLoader`](/docs/data/dataloader). + ## Comparison: COPRO vs MIPROv2 vs GEPA | Feature | COPRO | MIPROv2 | GEPA | diff --git a/docs/index.mdx b/docs/index.mdx index eec9fc9b..b1afda58 100644 --- a/docs/index.mdx +++ b/docs/index.mdx @@ -54,7 +54,7 @@ Learn about the foundational concepts of DSRs Understand data currency in DSRs. From 5a847c1d38011b613ae64d3162623fb020833c84 Mon Sep 17 00:00:00 2001 From: Darin Kishore Date: Wed, 11 Feb 2026 20:12:32 -0800 Subject: [PATCH 22/22] feat(module-system): restore chat response instructions and make clippy/test suite green --- Cargo.lock | 50 +- Cargo.toml | 5 + README.md | 218 ++---- crates/bamltype/Cargo.toml | 5 +- crates/bamltype/src/convert.rs | 83 ++- crates/bamltype/src/lib.rs | 4 + crates/bamltype/src/runtime.rs | 14 +- crates/bamltype/src/schema_builder.rs | 79 ++- crates/bamltype/tests/integration.rs | 21 + crates/dspy-rs/Cargo.toml | 3 +- crates/dspy-rs/examples/01-simple.rs | 2 +- .../02-module-iteration-and-updation.rs | 11 +- .../dspy-rs/examples/04-optimize-hotpotqa.rs | 1 - .../examples/05-heterogenous-examples.rs | 7 +- .../examples/06-other-providers-batch.rs | 22 +- crates/dspy-rs/examples/08-optimize-mipro.rs | 7 +- crates/dspy-rs/examples/09-gepa-sentiment.rs | 11 +- crates/dspy-rs/examples/10-gepa-llm-judge.rs | 9 +- crates/dspy-rs/examples/12-tracing.rs | 12 +- crates/dspy-rs/examples/17-pretty-tracing.rs | 2 +- .../94-smoke-slice5-optimizer-interface.rs | 9 +- crates/dspy-rs/src/adapter/chat.rs | 55 +- crates/dspy-rs/src/core/dyn_predictor.rs | 437 ++++++++---- crates/dspy-rs/src/core/mod.rs | 5 + crates/dspy-rs/src/core/module.rs | 12 +- crates/dspy-rs/src/core/schema.rs | 16 +- crates/dspy-rs/src/data/dataloader.rs | 84 ++- crates/dspy-rs/src/evaluate/evaluator.rs | 2 +- crates/dspy-rs/src/lib.rs | 18 +- crates/dspy-rs/src/modules/react.rs | 10 +- crates/dspy-rs/src/optimizer/copro.rs | 126 +++- crates/dspy-rs/src/optimizer/gepa.rs | 143 +++- crates/dspy-rs/src/optimizer/mipro.rs | 148 +++- crates/dspy-rs/src/optimizer/mod.rs | 50 +- crates/dspy-rs/src/predictors/predict.rs | 69 +- crates/dspy-rs/tests/test_adapters.rs | 88 ++- .../tests/test_chain_of_thought_swap.rs | 1 - .../tests/test_chat_prompt_composition.rs | 230 ++++++ .../dspy-rs/tests/test_chat_prompt_golden.rs | 109 +++ crates/dspy-rs/tests/test_dataloader.rs | 32 +- .../tests/test_gepa_typed_metric_feedback.rs | 88 ++- crates/dspy-rs/tests/test_input_format.rs | 32 +- crates/dspy-rs/tests/test_miprov2.rs | 7 +- crates/dspy-rs/tests/test_module_ext.rs | 39 +- .../dspy-rs/tests/test_module_facet_shapes.rs | 7 +- ..._optimizer_named_parameters_integration.rs | 5 +- .../tests/test_optimizer_typed_metric.rs | 21 +- .../tests/test_public_api_compile_fail.rs | 10 + crates/dspy-rs/tests/test_react_builder.rs | 60 +- .../dspy-rs/tests/test_typed_prompt_format.rs | 5 + .../tests/test_with_reasoning_deref.rs | 4 + crates/dsrs-macros/src/lib.rs | 221 +++++- crates/dsrs-macros/tests/signature_derive.rs | 24 + .../tests/ui/signature_function_type.rs | 12 + .../tests/ui/signature_function_type.stderr | 5 + .../tests/ui/signature_large_int.rs | 12 + .../tests/ui/signature_large_int.stderr | 5 + .../tests/ui/signature_non_string_map_key.rs | 13 + .../ui/signature_non_string_map_key.stderr | 5 + .../tests/ui/signature_serde_json_value.rs | 12 + .../ui/signature_serde_json_value.stderr | 5 + .../tests/ui/signature_trait_object.rs | 12 + .../tests/ui/signature_trait_object.stderr | 5 + .../tests/ui/signature_tuple_type.rs | 12 + .../tests/ui/signature_tuple_type.stderr | 5 + docs/docs/building-blocks/constraints.mdx | 27 +- docs/docs/building-blocks/lm.mdx | 4 +- docs/docs/building-blocks/module.mdx | 280 ++++++-- docs/docs/building-blocks/predictors.mdx | 116 ++- docs/docs/getting-started/introduction.mdx | 95 ++- docs/docs/getting-started/quickstart.mdx | 25 +- docs/docs/optimizers/gepa-llm-judge.mdx | 13 +- docs/module_system_overview.md | 11 +- docs/plans/modules/human_audit_fuckery.md | 13 - .../modules/phase_4_5_cleanup_kickoff.md | 220 ------ docs/plans/modules/slice_1.md | 151 ---- docs/plans/modules/slice_1_refinery.md | 25 - docs/plans/modules/slice_1_research.md | 42 -- docs/plans/modules/slice_1_review.md | 10 - docs/plans/modules/slice_2.md | 162 ----- 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docs/plans/modules/tracker.md | 221 ------ docs/specs/modules/breadboard.md | 51 +- docs/specs/modules/design_reference.md | 86 ++- docs/specs/modules/shapes.md | 27 +- .../S2-dynpredictor-handle-discovery.md | 32 +- .../spikes/S5-facet-walker-containers.md | 20 +- sub-agents.md | 76 ++ 108 files changed, 2779 insertions(+), 4042 deletions(-) create mode 100644 crates/dspy-rs/tests/test_chat_prompt_composition.rs create mode 100644 crates/dspy-rs/tests/test_chat_prompt_golden.rs create mode 100644 crates/dsrs-macros/tests/ui/signature_function_type.rs create mode 100644 crates/dsrs-macros/tests/ui/signature_function_type.stderr create mode 100644 crates/dsrs-macros/tests/ui/signature_large_int.rs create mode 100644 crates/dsrs-macros/tests/ui/signature_large_int.stderr create mode 100644 crates/dsrs-macros/tests/ui/signature_non_string_map_key.rs create mode 100644 crates/dsrs-macros/tests/ui/signature_non_string_map_key.stderr create mode 100644 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100644 docs/plans/modules/slices_closure_audit.md delete mode 100644 docs/plans/modules/tracker.md create mode 100644 sub-agents.md diff --git a/Cargo.lock b/Cargo.lock index b30d69d9..4e7849be 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -1313,8 +1313,7 @@ dependencies = [ [[package]] name = "facet" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "e338357cf598728b41e45744d024bdc063338214992361766928a1421bd7541d" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "autocfg", "facet-core", @@ -1324,8 +1323,7 @@ dependencies = [ [[package]] name = "facet-core" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "a63e0ade4c53b40220614b8fc2a0a0ce21975941b553081521a195c848b2e9c2" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "autocfg", "const-fnv1a-hash", @@ -1336,8 +1334,7 @@ dependencies = [ [[package]] name = "facet-macro-parse" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "83ea29147986d0e184600cec533c41d6065c3c3d4b5b5745a8403494ca216b09" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "facet-macro-types", "proc-macro2", @@ -1347,8 +1344,7 @@ dependencies = [ [[package]] name = "facet-macro-types" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "31b0035cf41c0d4eeee82effc9161512d216d1378dd89c4d8721258429e38597" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "proc-macro2", "quote", @@ -1358,8 +1354,7 @@ dependencies = [ [[package]] name = "facet-macros" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "77a784f2fa36d3165b95639af790249dee0d8efdef7d53f9417cace91697e2e3" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "facet-macros-impl", ] @@ -1367,8 +1362,7 @@ dependencies = [ [[package]] name = "facet-macros-impl" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "cf8f45c6380398bf74e59b97a20012de571502c609e580d84579d1140e491c1c" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "facet-macro-parse", "facet-macro-types", @@ -1377,13 +1371,23 @@ dependencies = [ "unsynn", ] +[[package]] +name = "facet-path" +version = "0.43.2" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" +dependencies = [ + "facet-core", +] + [[package]] name = "facet-reflect" version = "0.43.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "4418c9fceaac9adcd055cc3732954d79b5d67ef04fb855dd219f2b314ba26cff" +source = "git+https://github.com/darinkishore/facet?rev=cc8613c97cd1ec03e63659db34a947989b45c8a5#cc8613c97cd1ec03e63659db34a947989b45c8a5" dependencies = [ "facet-core", + "facet-path", + "hashbrown 0.16.1", + "smallvec 2.0.0-alpha.12", ] [[package]] @@ -1784,6 +1788,8 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "841d1cc9bed7f9236f321df977030373f4a4163ae1a7dbfe1a51a2c1a51d9100" dependencies = [ "allocator-api2", + "equivalent", + "foldhash 0.2.0", ] [[package]] @@ -1879,7 +1885,7 @@ dependencies = [ "itoa", "pin-project-lite", "pin-utils", - "smallvec", + "smallvec 1.15.1", "tokio", "want", ] @@ -2003,7 +2009,7 @@ dependencies = [ "icu_normalizer_data", "icu_properties", "icu_provider", - "smallvec", + "smallvec 1.15.1", "zerovec", ] @@ -2078,7 +2084,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "3b0875f23caa03898994f6ddc501886a45c7d3d62d04d2d90788d47be1b1e4de" dependencies = [ "idna_adapter", - "smallvec", + "smallvec 1.15.1", "utf8_iter", ] @@ -2867,7 +2873,7 @@ dependencies = [ "cfg-if", "libc", "redox_syscall", - "smallvec", + "smallvec 1.15.1", "windows-targets 0.52.6", ] @@ -3791,6 +3797,12 @@ version = "1.15.1" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "67b1b7a3b5fe4f1376887184045fcf45c69e92af734b7aaddc05fb777b6fbd03" +[[package]] +name = "smallvec" +version = "2.0.0-alpha.12" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "ef784004ca8777809dcdad6ac37629f0a97caee4c685fcea805278d81dd8b857" + [[package]] name = "snap" version = "1.1.1" @@ -4361,7 +4373,7 @@ dependencies = [ "once_cell", "regex-automata", "sharded-slab", - "smallvec", + "smallvec 1.15.1", "thread_local", "tracing", "tracing-core", diff --git a/Cargo.toml b/Cargo.toml index 7886d142..06924627 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -4,3 +4,8 @@ members = [ "crates/*", "vendor/baml/crates/*", ] + +[patch.crates-io] +# TODO(dsrs-facet-pin): switch back to upstream main/release once #2040/#2041 are merged and released. +facet = { git = "https://github.com/darinkishore/facet", rev = "cc8613c97cd1ec03e63659db34a947989b45c8a5" } +facet-reflect = { git = "https://github.com/darinkishore/facet", rev = "cc8613c97cd1ec03e63659db34a947989b45c8a5" } diff --git a/README.md b/README.md index e1898779..47cfd12f 100644 --- a/README.md +++ b/README.md @@ -133,15 +133,18 @@ struct TranslationSignature { #### 2. **Modules** - Composable Pipeline Components ```rust -#[derive(Builder)] +#[derive(Builder, facet::Facet)] +#[facet(crate = facet)] pub struct CustomModule { predictor: Predict, } impl Module for CustomModule { - async fn forward(&self, inputs: Example) -> Result { - // Your custom logic here - self.predictor.forward(inputs).await + type Input = TranslationSignatureInput; + type Output = TranslationSignatureOutput; + + async fn forward(&self, input: TranslationSignatureInput) -> Result, PredictError> { + self.predictor.call(input).await } } ``` @@ -319,57 +322,35 @@ println!("optimizer-visible leaves: {:?}", visible); ## 📚 Examples -### Example 1: Multi-Step Reasoning Pipeline +### Example 1: Multi-Step Pipeline ```rust -use dsrs::prelude::*; - -#[Signature] -struct AnalyzeSignature { - #[input] - pub text: String, - - #[output] - pub sentiment: String, - - #[output] - pub key_points: String, +#[derive(Signature, Clone, Debug)] +/// Analyze text for sentiment and key points. +struct Analyze { + #[input] text: String, + #[output] sentiment: String, + #[output] key_points: String, } -#[Signature] -struct SummarizeSignature { - #[input] - pub key_points: String, - - #[output] - pub summary: String, +#[derive(Signature, Clone, Debug)] +/// Summarize the given key points. +struct Summarize { + #[input] key_points: String, + #[output] summary: String, } -#[derive(Builder)] -pub struct AnalysisPipeline { - analyzer: Predict, - summarizer: Predict, -} +// Chain predictors with typed inputs/outputs +let analyzer = Predict::::new(); +let summarizer = Predict::::new(); -impl Module for AnalysisPipeline { - async fn forward(&self, inputs: Example) -> Result { - // Step 1: Analyze the text - let analysis = self.analyzer.forward(inputs).await?; - - // Step 2: Summarize key points - let summary_input = example! { - "key_points": "input" => analysis.get("key_points", None), - }; - let summary = self.summarizer.forward(summary_input).await?; - - // Combine results - Ok(prediction! { - "sentiment" => analysis.get("sentiment", None), - "key_points" => analysis.get("key_points", None), - "summary" => summary.get("summary", None), - }) - } -} +let analysis = analyzer.call(AnalyzeInput { text: document.into() }).await?; +let summary = summarizer.call(SummarizeInput { + key_points: analysis.key_points.clone() +}).await?; + +println!("Sentiment: {}", analysis.sentiment); +println!("Summary: {}", summary.summary); ``` ## 🧪 Testing @@ -394,131 +375,35 @@ cargo run --example 01-simple ### Chain of Thought (CoT) Reasoning ```rust -#[Signature(cot)] // Enable CoT with attribute -struct ComplexReasoningSignature { - #[input(desc="Question") - pub problem: String, - - #[output] - pub solution: String, -} -``` - -### Tracing System - -The tracing system allows you to capture the dataflow through modules and build a Directed Acyclic Graph (DAG) representation of the execution flow. - -#### Overview - -The tracing system consists of: - -1. **Graph**: A DAG structure representing nodes (modules/predictors) and edges (data dependencies) -2. **Trace Context**: Captures execution traces and builds the DAG using `tokio::task_local` -3. **Executor**: Executes captured graphs with new inputs - -#### Basic Usage - -Use `trace::trace()` to wrap your execution and capture the DAG: - -```rust -use dspy_rs::{trace, example, Predict, Signature}; +use dspy_rs::ChainOfThought; -#[Signature] -struct QASignature { - #[input] - pub question: String, - #[output] - pub answer: String, -} +// ChainOfThought wraps any signature, adding a `reasoning` field +let cot = ChainOfThought::::new(); +let result = cot.call(QAInput { + question: "What is 2+2?".into(), +}).await?; -let predictor = Predict::new(QASignature::new()); -let example = example! { - "question": "input" => "Hello", -}; - -// Trace the execution -let (result, graph) = trace::trace(|| async { - predictor.forward(example).await -}).await; - -// Inspect the graph -println!("Graph Nodes: {}", graph.nodes.len()); -for node in &graph.nodes { - println!("Node {}: Type={:?}, Inputs={:?}", node.id, node.node_type, node.inputs); -} - -// Execute the graph with new input -let executor = trace::Executor::new(graph); -let new_input = example! { - "question": "input" => "What is the capital of France?", -}; -let predictions = executor.execute(new_input).await?; +println!("Reasoning: {}", result.reasoning); +println!("Answer: {}", result.answer); ``` -#### Tracked Values - -When building pipelines, use `get_tracked()` to preserve data lineage: - -```rust -let prediction = predictor.forward(inputs).await?; -let answer = prediction.get_tracked("answer"); // Preserves source node info - -// The example! macro automatically detects tracked values and records Map nodes -let next_input = example! { - "answer": "input" => answer.clone(), -}; -``` - -#### Graph Structure - -**Node**: Represents a single execution step: -- `id`: Unique identifier -- `node_type`: Type of node (`Root`, `Predict`, `Map`, `Operator`) -- `inputs`: IDs of parent nodes -- `output`: Output Prediction -- `input_data`: Input Example (for root nodes) - -**Graph**: Contains all nodes and provides execution capabilities: -- `nodes`: Vector of all nodes -- `Executor`: Can execute the graph with new inputs - -#### Modifying the Graph - -The graph is fully modifiable - you can: -- Split nodes (add intermediate steps) -- Remove nodes -- Fuse nodes (combine operations) -- Insert nodes between existing ones -- Modify node configurations (signatures, instructions) - -```rust -// Example: Modify a node's signature -if let Some(node) = graph.nodes.get_mut(1) { - if let NodeType::Predict { signature, .. } = &mut node.node_type { - // Modify signature instruction, demos, etc. - } -} -``` +### Tracing System -#### Example +DSRs includes a tracing system that captures the dataflow through modules as a Directed Acyclic Graph (DAG). Wrap any execution in `trace::trace()` to capture the graph, then inspect nodes, replay with new inputs via `trace::Executor`, or modify the graph structure. -See `examples/12-tracing.rs` for a complete example demonstrating: -- Tracing module execution -- Inspecting the DAG -- Executing graphs with new inputs -- Modifying graph structure +See `examples/12-tracing.rs` for a complete example. ### Optimizer Comparison -| Feature | COPRO | MIPROv2 | -|---------|-------|---------| -| **Approach** | Iterative refinement | LLM-guided generation | -| **Complexity** | Simple | Advanced | -| **Best For** | Quick optimization | Best results | -| **Training Data** | Uses scores | Uses traces & descriptions | -| **Prompting Tips** | No | Yes (15+ best practices) | -| **Program Understanding** | Basic | LLM-generated descriptions | -| **Few-shot Examples** | No | Yes (auto-selected) | +| Feature | COPRO | MIPROv2 | GEPA | +|---------|-------|---------|------| +| **Approach** | Iterative refinement | LLM-guided generation | Evolutionary search with textual feedback | +| **Complexity** | Simple | Advanced | Advanced | +| **Best For** | Quick optimization | Best results | Complex tasks with subtle failure modes | +| **Training Data** | Uses scores | Uses traces & descriptions | Uses rich textual feedback | +| **Prompting Tips** | No | Yes (15+ best practices) | No | +| **Program Understanding** | Basic | LLM-generated descriptions | LLM-judge feedback | +| **Few-shot Examples** | No | Yes (auto-selected) | No | **When to use COPRO:** - Fast iteration needed @@ -530,6 +415,11 @@ See `examples/12-tracing.rs` for a complete example demonstrating: - Complex reasoning tasks - Have good training data (15+ examples recommended) +**When to use GEPA:** +- Tasks where score alone doesn't explain what went wrong +- Need an LLM judge to provide actionable feedback +- Want Pareto-optimal exploration of the instruction space + --- ## 📈 Project Status diff --git a/crates/bamltype/Cargo.toml b/crates/bamltype/Cargo.toml index aa1c3565..174ee13b 100644 --- a/crates/bamltype/Cargo.toml +++ b/crates/bamltype/Cargo.toml @@ -8,8 +8,9 @@ description = "Facet-based BAML type generation" [dependencies] # Facet for reflection -facet = { version = "0.43.2", default-features = false, features = ["std", "doc"] } -facet-reflect = { version = "0.43.2", default-features = false, features = ["std"] } +# Keep these direct pins in sync with workspace [patch.crates-io] for self-sufficient external path consumers. +facet = { git = "https://github.com/darinkishore/facet", rev = "cc8613c97cd1ec03e63659db34a947989b45c8a5", default-features = false, features = ["std", "doc"] } +facet-reflect = { git = "https://github.com/darinkishore/facet", rev = "cc8613c97cd1ec03e63659db34a947989b45c8a5", default-features = false, features = ["std"] } # BAML crates for schema/parsing anyhow = "1.0" diff --git a/crates/bamltype/src/convert.rs b/crates/bamltype/src/convert.rs index db632033..89e2a064 100644 --- a/crates/bamltype/src/convert.rs +++ b/crates/bamltype/src/convert.rs @@ -91,10 +91,15 @@ enum MapKeyReprHint { /// Convert a BamlValue to a Rust type using facet reflection. pub fn from_baml_value>(value: BamlValue) -> Result { - let partial = Partial::alloc::()?; + let partial = Partial::alloc::().map_err(|err| ConvertError::Reflect(err.into()))?; let partial = build_from_baml_value(partial, &value)?; let heap_value: HeapValue<'static> = partial.build()?; - Ok(heap_value.materialize::()?) + heap_value + .materialize::() + .map_err(|err| ConvertError::TypeMismatch { + expected: std::any::type_name::(), + actual: err.to_string(), + }) } /// Convert a BamlValueWithFlags to a Rust type. @@ -174,7 +179,18 @@ fn build_from_baml_value_with_hints( } BamlValue::Float(f) => Ok(partial.parse_from_str(&f.to_string())?), BamlValue::Bool(b) => Ok(partial.set(*b)?), - BamlValue::Null => Ok(partial.set_default()?), + BamlValue::Null => { + let message = format!( + "null provided for required {}", + shape_diagnostics(partial.shape()) + ); + Err(ConvertError::Adapter(BamlConvertError::new( + Vec::new(), + expected_kind_for_shape(partial.shape()), + "null", + message, + ))) + } // Class input: either enum object form, struct object form, or map object form. BamlValue::Class(_type_name, fields) => { @@ -234,10 +250,12 @@ fn build_from_baml_value_with_hints( // Enum variant (unit-like representation). BamlValue::Enum(_type_name, variant_name) => select_enum_variant(partial, variant_name), - // Media - not yet supported. - BamlValue::Media(_media) => Err(ConvertError::Unsupported( - "Media type conversion not yet implemented".into(), - )), + // Media - intentionally unsupported for now. + // TODO(dsrs-media): define typed media contract and implement BamlValue::Media conversions end-to-end. + BamlValue::Media(_media) => Err(ConvertError::Unsupported(format!( + "TODO(dsrs-media): BamlValue::Media -> Rust conversion is deferred; failed to convert into target shape ({})", + shape_diagnostics(partial.shape()) + ))), } } @@ -296,6 +314,14 @@ fn build_object_fields( }; let field = current_field(&partial, index); + if let Some(field) = field { + // Preserve facet(default) semantics when parsers materialize missing + // fields as explicit nulls. + if matches!(field_value, BamlValue::Null) && field.has_default() { + continue; + } + } + if let Some(field) = field && let Some(with) = crate::facet_ext::with_adapter_fns(field.attributes) { @@ -514,6 +540,13 @@ fn baml_value_kind(value: &BamlValue) -> String { .to_string() } +fn shape_diagnostics(shape: &'static Shape) -> String { + format!( + "shape_id={:?}, type_identifier={}, def={:?}", + shape.id, shape.type_identifier, shape.def + ) +} + // ============================================================================ // Rust → BamlValue (using Peek API) // ============================================================================ @@ -821,6 +854,7 @@ fn select_enum_variant( #[cfg(test)] mod tests { use super::*; + use baml_types::{BamlMedia, BamlMediaType}; #[test] fn test_primitives_to_baml() { @@ -868,4 +902,39 @@ mod tests { assert_eq!(to_baml_value(&some_val).unwrap(), BamlValue::Int(42)); assert_eq!(to_baml_value(&none_val).unwrap(), BamlValue::Null); } + + #[test] + fn null_to_required_errs() { + let err = from_baml_value::(BamlValue::Null).unwrap_err(); + match err { + ConvertError::Adapter(inner) => { + assert_eq!(inner.expected, "int"); + assert_eq!(inner.got, "null"); + assert!(inner.message.starts_with("null provided for required")); + } + other => panic!("unexpected error: {other:?}"), + } + } + + #[test] + fn null_into_option_succeeds() { + let value: Option = from_baml_value(BamlValue::Null).unwrap(); + assert_eq!(value, None); + } + + #[test] + fn media_conversion_error_includes_todo() { + let media = BamlMedia::url( + BamlMediaType::Image, + "https://example.com/img.png".to_string(), + Some("image/png".to_string()), + ); + let err = from_baml_value::(BamlValue::Media(media)).unwrap_err(); + match err { + ConvertError::Unsupported(message) => { + assert!(message.contains("TODO(dsrs-media)")); + } + other => panic!("unexpected error variant: {other:?}"), + } + } } diff --git a/crates/bamltype/src/lib.rs b/crates/bamltype/src/lib.rs index e8a696dd..62c3c817 100644 --- a/crates/bamltype/src/lib.rs +++ b/crates/bamltype/src/lib.rs @@ -101,6 +101,10 @@ pub trait BamlType: Sized + 'static { fn baml_internal_name() -> &'static str; fn baml_type_ir() -> TypeIR; fn try_from_baml_value(value: BamlValue) -> Result; + /// Convert `self` into `BamlValue`. + /// + /// This is fail-fast and currently panics on conversion errors. + /// TODO(dsrs-fallible-to-baml): add fallible try_to_baml_value API and migrate callsites away from panic semantics. fn to_baml_value(&self) -> BamlValue; } diff --git a/crates/bamltype/src/runtime.rs b/crates/bamltype/src/runtime.rs index a91d42b4..a78cadde 100644 --- a/crates/bamltype/src/runtime.rs +++ b/crates/bamltype/src/runtime.rs @@ -102,9 +102,19 @@ pub fn try_from_baml_value>(value: BamlValue) -> Result>(value: &T) -> BamlValue { - convert::to_baml_value(value).unwrap_or(BamlValue::Null) + convert::to_baml_value(value).unwrap_or_else(|err| { + panic!( + "to_baml_value failed for {}: {}", + std::any::type_name::(), + err + ) + }) } /// Default streaming behavior helper. diff --git a/crates/bamltype/src/schema_builder.rs b/crates/bamltype/src/schema_builder.rs index cf154db9..c97389e7 100644 --- a/crates/bamltype/src/schema_builder.rs +++ b/crates/bamltype/src/schema_builder.rs @@ -5,7 +5,7 @@ use std::collections::HashMap; use baml_types::{Constraint, StreamingMode, TypeIR, type_meta}; -use facet::{Attr, ConstTypeId, Def, Field, Shape, Type, UserType}; +use facet::{Attr, ConstTypeId, Def, Field, ScalarType, Shape, Type, UserType}; use internal_baml_jinja::types::{Class, Enum, Name, OutputFormatContent}; use crate::SchemaBundle; @@ -14,6 +14,8 @@ use crate::facet_ext; use crate::schema_registry::SchemaRegistry; /// Build a SchemaBundle from a facet Shape. +/// +/// TODO(dsrs-schema-result-api): expose non-panicking Result-returning schema build API publicly after downstream migration. pub fn build_schema_bundle(shape: &'static Shape) -> SchemaBundle { let mut builder = SchemaBuilder::new(); let target = builder.build_type_ir(shape); @@ -110,6 +112,13 @@ impl SchemaBuilder { } } + fn fail_unsupported_shape(context: &str, shape: &'static Shape) -> ! { + panic!( + "schema build failed: {context}; shape_id={:?}, type_identifier={}, def={:?}", + shape.id, shape.type_identifier, shape.def + ); + } + /// Build TypeIR from a facet Shape. fn build_type_ir(&mut self, shape: &'static Shape) -> TypeIR { // Check if already visited (handles recursion) @@ -137,7 +146,10 @@ impl SchemaBuilder { if let Some(pointee) = ptr_def.pointee { self.build_type_ir(pointee) } else { - TypeIR::string() + Self::fail_unsupported_shape( + "pointer shape missing pointee while building TypeIR", + shape, + ) } } Def::Undefined => { @@ -159,21 +171,59 @@ impl SchemaBuilder { match &shape.ty { Type::User(UserType::Struct(struct_type)) => self.build_struct_ir(shape, struct_type), Type::User(UserType::Enum(enum_type)) => self.build_enum_ir(shape, enum_type), - Type::Primitive(primitive) => self.build_primitive_ir(primitive), - _ => TypeIR::string(), + Type::Primitive(primitive) => self.build_primitive_ir(shape, primitive), + _ => Self::fail_unsupported_shape("unsupported shape type in build_from_type", shape), } } /// Build TypeIR for scalar/primitive shapes. fn build_scalar_ir(&self, shape: &'static Shape) -> TypeIR { match &shape.ty { - Type::Primitive(primitive) => self.build_primitive_ir(primitive), - _ => TypeIR::string(), + Type::Primitive(primitive) => self.build_primitive_ir(shape, primitive), + _ => Self::build_known_scalar_ir(shape).unwrap_or_else(|| { + Self::fail_unsupported_shape( + "Def::Scalar shape is not a supported primitive/scalar", + shape, + ) + }), + } + } + + fn build_known_scalar_ir(shape: &'static Shape) -> Option { + match shape.scalar_type()? { + ScalarType::Bool => Some(TypeIR::bool()), + ScalarType::Char | ScalarType::Str => Some(TypeIR::string()), + ScalarType::F32 | ScalarType::F64 => Some(TypeIR::float()), + ScalarType::U8 + | ScalarType::U16 + | ScalarType::U32 + | ScalarType::U64 + | ScalarType::U128 + | ScalarType::USize + | ScalarType::I8 + | ScalarType::I16 + | ScalarType::I32 + | ScalarType::I64 + | ScalarType::I128 + | ScalarType::ISize => Some(TypeIR::int()), + ScalarType::ConstTypeId => Some(TypeIR::string()), + ScalarType::Unit => None, + _ => match shape.type_identifier { + "String" | "Cow" | "Cow<'_, str>" | "Cow<'static, str>" => { + Some(TypeIR::string()) + } + "SocketAddr" | "IpAddr" | "Ipv4Addr" | "Ipv6Addr" => Some(TypeIR::string()), + _ => None, + }, } } /// Build TypeIR for primitive types. - fn build_primitive_ir(&self, primitive: &facet::PrimitiveType) -> TypeIR { + fn build_primitive_ir( + &self, + shape: &'static Shape, + primitive: &facet::PrimitiveType, + ) -> TypeIR { use facet::{NumericType, PrimitiveType, TextualType}; match primitive { @@ -182,7 +232,10 @@ impl SchemaBuilder { PrimitiveType::Numeric(NumericType::Float) => TypeIR::float(), PrimitiveType::Textual(TextualType::Str) => TypeIR::string(), PrimitiveType::Textual(TextualType::Char) => TypeIR::string(), - PrimitiveType::Never => TypeIR::string(), + PrimitiveType::Never => Self::fail_unsupported_shape( + "PrimitiveType::Never cannot be represented in BAML schema", + shape, + ), } } @@ -428,7 +481,10 @@ impl SchemaBuilder { if let Some(pointee) = ptr_def.pointee { Self::build_int_repr_ir(pointee, repr) } else { - TypeIR::string() + Self::fail_unsupported_shape( + "int_repr override encountered pointer shape without pointee", + shape, + ) } } _ => match repr { @@ -458,7 +514,10 @@ impl SchemaBuilder { if let Some(pointee) = ptr_def.pointee { self.build_map_key_repr_ir(pointee, repr, entry_ctx) } else { - TypeIR::string() + Self::fail_unsupported_shape( + "map_key_repr override encountered pointer shape without pointee", + shape, + ) } } Def::Map(map_def) => match repr { diff --git a/crates/bamltype/tests/integration.rs b/crates/bamltype/tests/integration.rs index 190f3e63..874ca1b2 100644 --- a/crates/bamltype/tests/integration.rs +++ b/crates/bamltype/tests/integration.rs @@ -609,6 +609,13 @@ struct CompatStruct { note: Option, } +#[derive(Debug, PartialEq)] +#[bamltype::BamlType] +struct CompatDefaultInt { + #[baml(default)] + retries: i32, +} + #[derive(Debug, PartialEq)] #[bamltype::BamlType] enum CompatEnum { @@ -675,6 +682,20 @@ fn test_baml_skip_field_excluded_from_schema() { assert!(!schema.contains("internal")); } +#[test] +fn test_baml_default_non_option_accepts_explicit_null() { + let mut fields = IndexMap::new(); + fields.insert("retries".to_string(), BamlValue::Null); + + let parsed: CompatDefaultInt = from_baml_value(BamlValue::Class( + ::baml_internal_name().to_string(), + fields, + )) + .expect("explicit null should map to field default"); + + assert_eq!(parsed.retries, 0); +} + #[test] fn test_baml_enum_alias_round_trip() { let as_baml = to_baml_value(&CompatEnum::Start).unwrap(); diff --git a/crates/dspy-rs/Cargo.toml b/crates/dspy-rs/Cargo.toml index 4774122e..0ea45843 100644 --- a/crates/dspy-rs/Cargo.toml +++ b/crates/dspy-rs/Cargo.toml @@ -26,7 +26,8 @@ async-trait = "0.1.83" anyhow = "1.0.99" bon = "3.7.0" bamltype = { path = "../bamltype" } -facet = { version = "0.43.2", default-features = false, features = ["std"] } +# Keep this direct pin in sync with workspace [patch.crates-io] for self-sufficient external path consumers. +facet = { git = "https://github.com/darinkishore/facet", rev = "cc8613c97cd1ec03e63659db34a947989b45c8a5", default-features = false, features = ["std"] } thiserror = "2.0.17" dsrs_macros = { version = "0.7.2", path = "../dsrs-macros" } csv = { version = "1.3.1" } diff --git a/crates/dspy-rs/examples/01-simple.rs b/crates/dspy-rs/examples/01-simple.rs index 7612707e..d662d92e 100644 --- a/crates/dspy-rs/examples/01-simple.rs +++ b/crates/dspy-rs/examples/01-simple.rs @@ -15,11 +15,11 @@ cargo run --example 01-simple use anyhow::Result; use bon::Builder; +use dspy_rs::data::RawExample; use dspy_rs::{ CallMetadata, ChatAdapter, Example, LM, LmError, Module, Predict, PredictError, Predicted, Prediction, configure, init_tracing, }; -use dspy_rs::data::RawExample; const QA_INSTRUCTION: &str = "Answer the question step by step."; const RATE_INSTRUCTION: &str = "Rate the answer on a scale of 1 (very bad) to 10 (very good)."; diff --git a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs index 384c0fef..d0d09893 100644 --- a/crates/dspy-rs/examples/02-module-iteration-and-updation.rs +++ b/crates/dspy-rs/examples/02-module-iteration-and-updation.rs @@ -9,7 +9,6 @@ cargo run --example 02-module-iteration-and-updation use anyhow::Result; use bon::Builder; -use facet; use dspy_rs::{ COPRO, ChatAdapter, Example, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, init_tracing, @@ -43,7 +42,11 @@ impl Module for QAModule { struct ExactMatch; impl TypedMetric for ExactMatch { - async fn evaluate(&self, example: &Example, prediction: &Predicted) -> Result { + async fn evaluate( + &self, + example: &Example, + prediction: &Predicted, + ) -> Result { let expected = example.output.answer.trim().to_lowercase(); let actual = prediction.answer.trim().to_lowercase(); Ok(MetricOutcome::score((expected == actual) as u8 as f32)) @@ -91,7 +94,9 @@ async fn main() -> Result<()> { println!("baseline score: {baseline:.3}"); let optimizer = COPRO::builder().breadth(4).depth(1).build(); - optimizer.compile(&mut module, trainset.clone(), &metric).await?; + optimizer + .compile(&mut module, trainset.clone(), &metric) + .await?; let optimized = average_score(&evaluate_trainset(&module, &trainset, &metric).await?); println!("optimized score: {optimized:.3}"); diff --git a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs index 78541f02..0907db86 100644 --- a/crates/dspy-rs/examples/04-optimize-hotpotqa.rs +++ b/crates/dspy-rs/examples/04-optimize-hotpotqa.rs @@ -9,7 +9,6 @@ cargo run --example 04-optimize-hotpotqa --features dataloaders use anyhow::Result; use bon::Builder; -use facet; use dspy_rs::{ COPRO, ChatAdapter, DataLoader, Example, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedLoadOptions, TypedMetric, average_score, configure, diff --git a/crates/dspy-rs/examples/05-heterogenous-examples.rs b/crates/dspy-rs/examples/05-heterogenous-examples.rs index 94f769ac..d32d01ea 100644 --- a/crates/dspy-rs/examples/05-heterogenous-examples.rs +++ b/crates/dspy-rs/examples/05-heterogenous-examples.rs @@ -8,8 +8,8 @@ cargo run --example 05-heterogenous-examples */ use anyhow::Result; -use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure, init_tracing}; use dspy_rs::data::RawExample; +use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure, init_tracing}; use serde_json::json; use std::collections::HashMap; @@ -40,7 +40,10 @@ async fn main() -> Result<()> { let heterogeneous = RawExample::new( HashMap::from([ ("number".to_string(), json!(10)), - ("debug_note".to_string(), json!("metadata not used by the signature")), + ( + "debug_note".to_string(), + json!("metadata not used by the signature"), + ), ("tags".to_string(), json!(["math", "demo"])), ]), vec!["number".to_string()], diff --git a/crates/dspy-rs/examples/06-other-providers-batch.rs b/crates/dspy-rs/examples/06-other-providers-batch.rs index 6b63d6fd..57cf792b 100644 --- a/crates/dspy-rs/examples/06-other-providers-batch.rs +++ b/crates/dspy-rs/examples/06-other-providers-batch.rs @@ -8,9 +8,7 @@ cargo run --example 06-other-providers-batch */ use anyhow::Result; -use dspy_rs::{ - ChatAdapter, LM, Predict, Signature, configure, forward_all, init_tracing, -}; +use dspy_rs::{ChatAdapter, LM, Predict, Signature, configure, forward_all, init_tracing}; #[derive(Signature, Clone, Debug)] struct QA { @@ -54,11 +52,10 @@ async fn main() -> Result<()> { ChatAdapter, ); - let anthropic = forward_all(&predictor, prompts(), 2) - .await - .into_iter() - .map(|outcome| outcome.map(|predicted| predicted.into_inner().answer)) - .collect::, _>>()?; + let mut anthropic = Vec::new(); + for outcome in forward_all(&predictor, prompts(), 2).await { + anthropic.push(outcome?.into_inner().answer); + } println!("Anthropic: {anthropic:?}"); configure( @@ -69,11 +66,10 @@ async fn main() -> Result<()> { ChatAdapter, ); - let gemini = forward_all(&predictor, prompts(), 2) - .await - .into_iter() - .map(|outcome| outcome.map(|predicted| predicted.into_inner().answer)) - .collect::, _>>()?; + let mut gemini = Vec::new(); + for outcome in forward_all(&predictor, prompts(), 2).await { + gemini.push(outcome?.into_inner().answer); + } println!("Gemini: {gemini:?}"); Ok(()) diff --git a/crates/dspy-rs/examples/08-optimize-mipro.rs b/crates/dspy-rs/examples/08-optimize-mipro.rs index b563be9a..6fab8439 100644 --- a/crates/dspy-rs/examples/08-optimize-mipro.rs +++ b/crates/dspy-rs/examples/08-optimize-mipro.rs @@ -9,7 +9,6 @@ cargo run --example 08-optimize-mipro --features dataloaders use anyhow::Result; use bon::Builder; -use facet; use dspy_rs::{ ChatAdapter, DataLoader, Example, LM, MIPROv2, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedLoadOptions, TypedMetric, average_score, configure, @@ -93,7 +92,8 @@ async fn main() -> Result<()> { let mut qa_module = SimpleQA::builder().build(); println!("Evaluating baseline performance..."); - let baseline_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); + let baseline_score = + average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); println!("Baseline score: {:.3}\n", baseline_score); let optimizer = MIPROv2::builder() @@ -108,7 +108,8 @@ async fn main() -> Result<()> { .await?; println!("Evaluating optimized performance..."); - let optimized_score = average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); + let optimized_score = + average_score(&evaluate_trainset(&qa_module, &train_subset[..5], &metric).await?); println!("Optimized score: {:.3}", optimized_score); let improvement = ((optimized_score - baseline_score) / baseline_score.max(1e-6)) * 100.0; diff --git a/crates/dspy-rs/examples/09-gepa-sentiment.rs b/crates/dspy-rs/examples/09-gepa-sentiment.rs index 634e5be6..515fe70b 100644 --- a/crates/dspy-rs/examples/09-gepa-sentiment.rs +++ b/crates/dspy-rs/examples/09-gepa-sentiment.rs @@ -9,7 +9,6 @@ OPENAI_API_KEY=your_key cargo run --example 09-gepa-sentiment use anyhow::Result; use bon::Builder; -use facet; use dspy_rs::{ ChatAdapter, Example, FeedbackMetric, GEPA, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, @@ -89,10 +88,7 @@ fn sentiment_example(text: &str, expected: &str) -> Example async fn main() -> Result<()> { init_tracing()?; - configure( - LM::builder().temperature(0.7).build().await?, - ChatAdapter, - ); + configure(LM::builder().temperature(0.7).build().await?, ChatAdapter); let trainset = vec![ sentiment_example( @@ -125,7 +121,10 @@ async fn main() -> Result<()> { let result = gepa.compile(&mut module, trainset.clone(), &metric).await?; - println!("Best average score: {:.3}", result.best_candidate.average_score()); + println!( + "Best average score: {:.3}", + result.best_candidate.average_score() + ); println!("Total rollouts: {}", result.total_rollouts); println!("Total LM calls: {}", result.total_lm_calls); println!("Best instruction: {}", result.best_candidate.instruction); diff --git a/crates/dspy-rs/examples/10-gepa-llm-judge.rs b/crates/dspy-rs/examples/10-gepa-llm-judge.rs index e2ff28f3..95255284 100644 --- a/crates/dspy-rs/examples/10-gepa-llm-judge.rs +++ b/crates/dspy-rs/examples/10-gepa-llm-judge.rs @@ -9,7 +9,6 @@ OPENAI_API_KEY=your_key cargo run --example 10-gepa-llm-judge use anyhow::Result; use bon::Builder; -use facet; use dspy_rs::{ ChatAdapter, Example, FeedbackMetric, GEPA, LM, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, average_score, configure, evaluate_trainset, @@ -151,10 +150,7 @@ fn training_example(problem: &str, expected_answer: &str) -> Example Result<()> { init_tracing()?; - configure( - LM::builder().temperature(0.7).build().await?, - ChatAdapter, - ); + configure(LM::builder().temperature(0.7).build().await?, ChatAdapter); let trainset = vec![ training_example( @@ -195,7 +191,8 @@ async fn main() -> Result<()> { println!("Total LM calls: {}", result.total_lm_calls); println!("Best instruction: {}", result.best_candidate.instruction); - let test_problem = "A store sells pencils for $0.25 each. If you buy 8 pencils, what is the total?"; + let test_problem = + "A store sells pencils for $0.25 each. If you buy 8 pencils, what is the total?"; let test_predicted = module .call(MathWordProblemInput { problem: test_problem.to_string(), diff --git a/crates/dspy-rs/examples/12-tracing.rs b/crates/dspy-rs/examples/12-tracing.rs index 132f5a36..f1e3d412 100644 --- a/crates/dspy-rs/examples/12-tracing.rs +++ b/crates/dspy-rs/examples/12-tracing.rs @@ -9,12 +9,12 @@ cargo run --example 12-tracing use anyhow::Result; use bon::Builder; +use dspy_rs::data::RawExample; use dspy_rs::{ CallMetadata, ChatAdapter, LM, LmUsage, Module, Predict, PredictError, Predicted, Prediction, Signature, configure, init_tracing, trace::{self, Executor}, }; -use dspy_rs::data::RawExample; use serde_json::json; use std::collections::HashMap; @@ -52,7 +52,10 @@ impl Module for QARater { type Input = QASignatureInput; type Output = Prediction; - async fn forward(&self, input: QASignatureInput) -> Result, PredictError> { + async fn forward( + &self, + input: QASignatureInput, + ) -> Result, PredictError> { let answer_predicted = self.answerer.call(input.clone()).await?; let answer_usage = answer_predicted.metadata().lm_usage.clone(); let answer_output = answer_predicted.into_inner(); @@ -115,7 +118,10 @@ async fn main() -> Result<()> { println!("Graph nodes: {}", graph.nodes.len()); for node in &graph.nodes { - println!("Node {}: type={:?}, inputs={:?}", node.id, node.node_type, node.inputs); + println!( + "Node {}: type={:?}, inputs={:?}", + node.id, node.node_type, node.inputs + ); } println!("\nExecuting graph replay..."); diff --git a/crates/dspy-rs/examples/17-pretty-tracing.rs b/crates/dspy-rs/examples/17-pretty-tracing.rs index 796d82af..1dbc112c 100644 --- a/crates/dspy-rs/examples/17-pretty-tracing.rs +++ b/crates/dspy-rs/examples/17-pretty-tracing.rs @@ -1,6 +1,6 @@ use anyhow::Result; -use dspy_rs::{Chat, DummyLM, Message, hashmap, init_tracing}; use dspy_rs::data::RawExample; +use dspy_rs::{Chat, DummyLM, Message, hashmap, init_tracing}; #[tokio::main] async fn main() -> Result<()> { diff --git a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs index 2c410599..97d7fec1 100644 --- a/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs +++ b/crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs @@ -1,8 +1,7 @@ use anyhow::{Result, bail}; -use facet; use dspy_rs::{ - COPRO, ChainOfThought, ChatAdapter, Example, LM, Optimizer, Signature, TypedMetric, - MetricOutcome, Predicted, WithReasoning, configure, + COPRO, ChainOfThought, ChatAdapter, Example, LM, MetricOutcome, Optimizer, Predicted, + Signature, TypedMetric, WithReasoning, configure, }; #[derive(Signature, Clone, Debug, facet::Facet)] @@ -24,7 +23,9 @@ impl TypedMetric> for SmokeMetric { prediction: &Predicted>, ) -> Result { let answer = prediction.answer.to_ascii_lowercase(); - Ok(MetricOutcome::score((answer.contains("smoke") || answer.contains("ok")) as u8 as f32)) + Ok(MetricOutcome::score( + (answer.contains("smoke") || answer.contains("ok")) as u8 as f32, + )) } } diff --git a/crates/dspy-rs/src/adapter/chat.rs b/crates/dspy-rs/src/adapter/chat.rs index a29b3353..bdac90d0 100644 --- a/crates/dspy-rs/src/adapter/chat.rs +++ b/crates/dspy-rs/src/adapter/chat.rs @@ -11,9 +11,8 @@ use tracing::{debug, trace}; use super::Adapter; use crate::CallMetadata; use crate::{ - BamlType, BamlValue, ConstraintLevel, ConstraintResult, FieldMeta, Flag, JsonishError, - Message, OutputFormatContent, ParseError, PredictError, Predicted, RenderOptions, Signature, - TypeIR, + BamlType, BamlValue, ConstraintLevel, ConstraintResult, FieldMeta, Flag, JsonishError, Message, + OutputFormatContent, ParseError, PredictError, Predicted, RenderOptions, Signature, TypeIR, }; /// Builds prompts and parses responses using the `[[ ## field ## ]]` delimiter protocol. @@ -107,6 +106,8 @@ fn render_type_name_for_prompt( } fn split_schema_definitions(schema: &str) -> Option<(String, String)> { + // TODO(post-hardening): This parser is intentionally heuristic. Keep this + // behavior covered by tests when schema rendering changes. let lines: Vec<&str> = schema.lines().collect(); let mut index = 0; let mut definitions = Vec::new(); @@ -233,13 +234,6 @@ impl ChatAdapter { format!("In adhering to this structure, your objective is: {indented}") } - fn format_task_description_typed( - &self, - instruction_override: Option<&str>, - ) -> String { - self.format_task_description_schema(S::schema(), instruction_override) - } - fn format_response_instructions_schema(&self, schema: &crate::SignatureSchema) -> String { let mut output_fields = schema.output_fields().iter(); let Some(first_field) = output_fields.next() else { @@ -258,10 +252,6 @@ impl ChatAdapter { message } - fn format_response_instructions_typed(&self) -> String { - self.format_response_instructions_schema(S::schema()) - } - /// Builds the system message for a signature using its default instruction. /// /// Shorthand for `format_system_message_typed_with_instruction::(None)`. @@ -348,10 +338,6 @@ impl ChatAdapter { lines.join("\n") } - fn format_field_descriptions_typed(&self) -> String { - self.format_field_descriptions_schema(S::schema()) - } - fn format_field_structure_schema(&self, schema: &crate::SignatureSchema) -> Result { let mut lines = vec![ "All interactions will be structured in the following way, with the appropriate values filled in.".to_string(), @@ -384,10 +370,6 @@ impl ChatAdapter { Ok(lines.join("\n")) } - fn format_field_structure_typed(&self) -> Result { - self.format_field_structure_schema(S::schema()) - } - /// Formats a typed input value as a user message with `[[ ## field ## ]]` delimiters. /// /// Each input field is serialized via `BamlType::to_baml_value()` and formatted @@ -406,7 +388,8 @@ impl ChatAdapter { /// Navigates the `BamlValue` using each field's [`FieldPath`](crate::FieldPath) to /// handle flattened structs correctly. A field with path `["inner", "question"]` is /// extracted from the nested structure but rendered as a flat `[[ ## question ## ]]` - /// section in the prompt. + /// section in the prompt. Appends response instructions so the LM sees + /// output-field ordering guidance in the latest user turn. pub fn format_input(&self, schema: &crate::SignatureSchema, input: &I) -> String where I: BamlType + for<'a> facet::Facet<'a>, @@ -427,6 +410,7 @@ impl ChatAdapter { } } + result.push_str(&self.format_response_instructions_schema(schema)); result } @@ -732,6 +716,10 @@ impl ChatAdapter { /// # Errors /// /// Parse failures are wrapped as [`PredictError::Parse`]. + #[expect( + clippy::result_large_err, + reason = "Public API returns PredictError directly for downstream matching." + )] pub fn parse_response_with_schema( &self, response: Message, @@ -754,7 +742,6 @@ impl ChatAdapter { ); Ok(Predicted::new(output, metadata)) } - } fn parse_sections(content: &str) -> IndexMap { @@ -783,6 +770,8 @@ fn parse_sections(content: &str) -> IndexMap { continue; }; if parsed.contains_key(&name) { + // TODO(post-hardening): We currently keep the first occurrence to avoid + // late duplicate markers silently overwriting earlier parsed fields. continue; } parsed.insert(name, lines.join("\n").trim().to_string()); @@ -806,13 +795,21 @@ fn value_for_path_relaxed<'a>( idx += 1; continue; } - if idx + 1 < parts.len() { - if let Some(next) = fields.get(parts[idx + 1]) { - current = next; - idx += 2; - continue; + // Flattened wrappers may remove one or more intermediate path + // segments (`outer.inner.answer` serialized as `answer`), so + // probe ahead for the next segment visible at this level. + let mut matched = None; + for (look_ahead, part) in parts.iter().enumerate().skip(idx + 1) { + if let Some(next) = fields.get(*part) { + matched = Some((look_ahead, next)); + break; } } + if let Some((look_ahead, next)) = matched { + current = next; + idx = look_ahead + 1; + continue; + } return None; } _ => return None, diff --git a/crates/dspy-rs/src/core/dyn_predictor.rs b/crates/dspy-rs/src/core/dyn_predictor.rs index 0e3a0892..d5a436a8 100644 --- a/crates/dspy-rs/src/core/dyn_predictor.rs +++ b/crates/dspy-rs/src/core/dyn_predictor.rs @@ -1,5 +1,5 @@ -use std::collections::{HashMap, HashSet}; -use std::sync::{Mutex, OnceLock}; +use std::collections::HashSet; +use std::ops::ControlFlow; use anyhow::Result; use bamltype::facet_reflect::Peek; @@ -11,24 +11,12 @@ use crate::data::example::Example as RawExample; /// Type-erased optimizer handle to a [`crate::Predict`] leaf. /// /// Optimizers need to inspect and mutate Predict parameters (demos, instructions) -/// without knowing the concrete signature type. This trait bridges that gap. An -/// optimizer iterates over `(path, &mut dyn DynPredictor)` pairs from -/// [`named_parameters`] and works entirely through this interface: -/// -/// ``` -/// use dspy_rs::*; -/// use dspy_rs::doctest::*; -/// -/// let mut predict = Predict::::new(); -/// for (path, predictor) in named_parameters(&mut predict).unwrap() { -/// let demos = predictor.demos_as_examples(); -/// predictor.set_instruction("Be concise.".into()); -/// } -/// ``` +/// without knowing the concrete signature type. Discovery uses +/// [`visit_named_predictors_mut`], which walks the module tree and passes each +/// discovered `(path, &mut dyn DynPredictor)` leaf to a selector callback. /// /// Normal users never touch this — you pass your module to `optimizer.compile()` /// and it uses `DynPredictor` internally. -/// pub(crate) trait DynPredictor: Send + Sync { /// Returns the [`SignatureSchema`] for this predictor's signature. fn schema(&self) -> &SignatureSchema; @@ -74,155 +62,94 @@ pub(crate) struct PredictState { pub instruction_override: Option, } +type VisitMutFn = + fn(*mut (), &mut dyn FnMut(&mut dyn DynPredictor) -> ControlFlow<()>) -> ControlFlow<()>; + #[derive(Clone, Copy, Debug, facet::Facet)] #[facet(opaque)] pub(crate) struct PredictAccessorFns { - pub accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, + pub visit_mut: VisitMutFn, } impl PartialEq for PredictAccessorFns { fn eq(&self, other: &Self) -> bool { - std::ptr::fn_addr_eq(self.accessor_mut, other.accessor_mut) + std::ptr::fn_addr_eq(self.visit_mut, other.visit_mut) } } impl Eq for PredictAccessorFns {} -// FIXME(dsrs-s2): Temporary bridge for S2 until Facet supports shape-local typed attr payloads -// on generic containers (e.g. Predict) without E0401 in macro-generated statics. -// Intended solution: -// 1. Read `PredictAccessorFns` directly from shape-local attrs on the discovered leaf shape. -// 2. Delete this global registry and stop requiring explicit runtime registration. -// Upstream tracking: -// - Issue: https://github.com/facet-rs/facet/issues/2039 -// - PR: https://github.com/facet-rs/facet/pull/2040 -// - PR: https://github.com/facet-rs/facet/pull/2041 -// TODO(post-v6): Remove registry fallback once upstream lands and DSRs upgrades facet. -static ACCESSOR_REGISTRY: OnceLock>> = - OnceLock::new(); - -fn accessor_registry() -> &'static Mutex> { - ACCESSOR_REGISTRY.get_or_init(|| Mutex::new(HashMap::new())) -} +facet::define_attr_grammar! { + ns "dsrs"; + crate_path $crate::core::dyn_predictor; -pub(crate) fn register_predict_accessor( - shape: &'static Shape, - accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, -) { - let registration = PredictAccessorFns { accessor_mut }; - let mut guard = accessor_registry() - .lock() - .expect("predict accessor registry lock poisoned"); - if let Some(existing) = guard.get(&shape.id) { - assert_eq!( - *existing, registration, - "conflicting predict accessor registration for shape id={:?} type_identifier={}", - shape.id, - shape.type_identifier - ); - return; + pub enum Attr { + PredictAccessor(Option<&'static PredictAccessorFns>), } - guard.insert(shape.id, registration); } -/// Error from [`named_parameters`] when the Facet walker encounters an unsupported structure. +/// Error from [`visit_named_predictors_mut`] when the Facet walker encounters an unsupported structure. #[derive(Debug, thiserror::Error, PartialEq, Eq)] pub(crate) enum NamedParametersError { /// A `Predict` leaf was found inside an unsupported container (`Rc`, `Arc`, etc.). #[error("container `{ty}` at `{path}` contains a parameter leaf")] Container { path: String, ty: &'static str }, - /// A `Predict`-like leaf was found but hasn't registered its accessor functions. - /// This means `Predict::new()` or `Predict::builder().build()` was never called for - /// this concrete `Predict`. - // NOTE(dsrs-s2): Error message will simplify once Facet supports shape-local - // accessor payloads and the global registry workaround is removed. + /// A `Predict`-like leaf was found with missing or malformed shape-local accessor payload. #[error( - "parameter-like leaf at `{path}` has no registered accessor — was `Predict::new()` or `.build()` called for this concrete type?" + "parameter-like leaf at `{path}` is missing a valid shape-local accessor payload (`#[facet(dsrs::predict_accessor = ...)]`)" )] MissingAttr { path: String }, } -/// Discovers all [`crate::Predict`] leaves in a module by walking its struct fields. -/// -/// Returns `(dotted_path, &mut dyn DynPredictor)` pairs. Paths reflect the field -/// hierarchy: a `ChainOfThought` inside field `answer` yields `"answer.predictor"`. +/// Visits all [`crate::Predict`] leaves in a module by walking struct fields and +/// supported containers. /// -/// Takes exclusive `&mut` — you can't `call()` the module during discovery. This is -/// intentional: optimization needs to mutate state without races. +/// The callback acts as a selector: it receives each `(dotted_path, predictor)` pair +/// and may return `ControlFlow::Break(())` to stop traversal early. /// -/// The walker follows struct fields and common containers (`Option`, `Vec`, -/// `HashMap`, `Box`). It does not follow `Rc`, `Arc`, or other smart -/// pointers — those error explicitly. If a `Predict` leaf exists but wasn't -/// constructed via `new()`/`build()`, you get [`NamedParametersError::MissingAttr`] -/// (the accessor wasn't registered — see [`crate::Predict`] doc on construction). -/// -/// # Errors -/// -/// - [`Container`](NamedParametersError::Container): `Predict` inside unsupported container -/// - [`MissingAttr`](NamedParametersError::MissingAttr): `Predict` without registered accessor -/// -/// ``` -/// use dspy_rs::*; -/// use dspy_rs::doctest::*; -/// -/// let mut predict = Predict::::new(); -/// for (path, predictor) in named_parameters(&mut predict).unwrap() { -/// println!("{}: {} demos", path, predictor.demos_as_examples().len()); -/// } -/// ``` -#[tracing::instrument(level = "debug", name = "dsrs.named_parameters", skip(module))] -pub(crate) fn named_parameters( +/// Safety model: +/// - discovery has exclusive `&mut` access to `module` for the full traversal; +/// - leaf access requires a valid shape-local accessor payload attached to the leaf; +/// - unsupported shared-pointer containers (`Rc`, `Arc`) are rejected explicitly. +#[tracing::instrument( + level = "debug", + name = "dsrs.visit_named_predictors_mut", + skip(module, visitor) +)] +pub(crate) fn visit_named_predictors_mut( module: &mut M, -) -> std::result::Result, NamedParametersError> + mut visitor: F, +) -> std::result::Result<(), NamedParametersError> where M: for<'a> Facet<'a>, + F: FnMut(&str, &mut dyn DynPredictor) -> ControlFlow<()>, { - let mut raw_handles = Vec::<(String, *mut dyn DynPredictor)>::new(); - walk_value::(Peek::new(&*module), "", &mut raw_handles)?; - - let mut handles = Vec::with_capacity(raw_handles.len()); - for (path, ptr) in raw_handles { - // SAFETY: pointers are created from a single exclusive traversal over `module`. - let handle = unsafe { &mut *ptr }; - handles.push((path, handle)); - } - - Ok(handles) -} - -trait WalkAccess { - type RawPtr; - - fn pointer(accessor: PredictAccessorFns, value: Peek<'_, '_>) -> Self::RawPtr; + let _ = walk_value(Peek::new(&*module), "", &mut visitor)?; + Ok(()) } -struct MutableAccess; - -impl WalkAccess for MutableAccess { - type RawPtr = *mut dyn DynPredictor; - - fn pointer(accessor: PredictAccessorFns, value: Peek<'_, '_>) -> Self::RawPtr { - // SAFETY: `named_parameters` has exclusive access to `module` for the full traversal. - // We only cast to a mutable pointer after the read-only walk has located the leaf. - (accessor.accessor_mut)((value.data().as_byte_ptr() as *mut u8).cast::<()>()) - } -} - -fn walk_value( +fn walk_value( value: Peek<'_, '_>, path: &str, - out: &mut Vec<(String, Access::RawPtr)>, -) -> std::result::Result<(), NamedParametersError> { + visitor: &mut F, +) -> std::result::Result, NamedParametersError> +where + F: FnMut(&str, &mut dyn DynPredictor) -> ControlFlow<()>, +{ let shape = value.shape(); - if let Some(accessor) = lookup_registered_predict_accessor(shape) { - out.push((path.to_string(), Access::pointer(accessor, value))); - return Ok(()); - } - if is_predict_type_name(shape) { - return Err(NamedParametersError::MissingAttr { - path: display_path(path), - }); + match resolve_predict_leaf(shape) { + PredictLeafResolution::Accessor(accessor) => { + let raw_ptr = (value.data().as_byte_ptr() as *mut u8).cast::<()>(); + let mut forward = |predictor: &mut dyn DynPredictor| visitor(path, predictor); + return Ok((accessor.visit_mut)(raw_ptr, &mut forward)); + } + PredictLeafResolution::Missing => { + return Err(NamedParametersError::MissingAttr { + path: display_path(path), + }); + } + PredictLeafResolution::NotLeaf => {} } if matches!(shape.ty, Type::User(UserType::Struct(_))) { @@ -239,17 +166,21 @@ fn walk_value( .map_err(|_| NamedParametersError::MissingAttr { path: display_path(&field_path), })?; - walk_value::(child, &field_path, out)?; + if let ControlFlow::Break(()) = walk_value(child, &field_path, visitor)? { + return Ok(ControlFlow::Break(())); + } } - return Ok(()); + return Ok(ControlFlow::Continue(())); } match shape.def { Def::Option(_) => { - if let Some(inner) = value.into_option().expect("shape says option").value() { - walk_value::(inner, path, out)?; + if let Some(inner) = value.into_option().expect("shape says option").value() + && let ControlFlow::Break(()) = walk_value(inner, path, visitor)? + { + return Ok(ControlFlow::Break(())); } - Ok(()) + Ok(ControlFlow::Continue(())) } Def::List(_) | Def::Array(_) | Def::Slice(_) => { for (idx, child) in value @@ -259,9 +190,11 @@ fn walk_value( .enumerate() { let child_path = push_index(path, idx); - walk_value::(child, &child_path, out)?; + if let ControlFlow::Break(()) = walk_value(child, &child_path, visitor)? { + return Ok(ControlFlow::Break(())); + } } - Ok(()) + Ok(ControlFlow::Continue(())) } Def::Map(_) => { let mut entries = value @@ -281,9 +214,11 @@ fn walk_value( entries.sort_by(|(left, _), (right, _)| left.as_bytes().cmp(right.as_bytes())); for (key, child) in entries { let child_path = push_map_key(path, &key); - walk_value::(child, &child_path, out)?; + if let ControlFlow::Break(()) = walk_value(child, &child_path, visitor)? { + return Ok(ControlFlow::Break(())); + } } - Ok(()) + Ok(ControlFlow::Continue(())) } Def::Pointer(pointer_def) => match pointer_def.known { Some(KnownPointer::Box) => { @@ -291,27 +226,29 @@ fn walk_value( .into_pointer() .expect("shape says pointer") .borrow_inner() + && let ControlFlow::Break(()) = walk_value(inner, path, visitor)? { - walk_value::(inner, path, out)?; + return Ok(ControlFlow::Break(())); } - Ok(()) + Ok(ControlFlow::Continue(())) } _ => { + // TODO(dsrs-shared-ptr-policy): define safe mutable-handle policy for Arc/Rc traversal. if contains_parameter(shape, &mut HashSet::new()) { return Err(NamedParametersError::Container { path: display_path(path), ty: pointer_name(pointer_def.known), }); } - Ok(()) + Ok(ControlFlow::Continue(())) } }, - _ => Ok(()), + _ => Ok(ControlFlow::Continue(())), } } fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet) -> bool { - if lookup_registered_predict_accessor(shape).is_some() || is_predict_type_name(shape) { + if !matches!(resolve_predict_leaf(shape), PredictLeafResolution::NotLeaf) { return true; } @@ -348,19 +285,57 @@ fn contains_parameter(shape: &'static Shape, visiting: &mut HashSet found } -fn is_predict_type_name(shape: &'static Shape) -> bool { - // Temporary diagnostic-only guard: we never use this for successful dispatch. - // Success requires a registered accessor; this path exists to fail loudly when - // a Predict-like leaf appears without registration. - shape.type_identifier == "Predict" +enum PredictLeafResolution { + NotLeaf, + Accessor(PredictAccessorFns), + Missing, +} + +fn resolve_predict_leaf(shape: &'static Shape) -> PredictLeafResolution { + let has_leaf_marker = is_predict_shape_identity(shape); + let mut accessor_count = 0usize; + let mut accessor = None; + let mut invalid = false; + + for attr in shape.attributes { + if attr.ns != Some("dsrs") { + continue; + } + + if attr.key == "predict_accessor" { + accessor_count += 1; + match attr.get_as::() { + Some(Attr::PredictAccessor(Some(value))) => { + if accessor.is_some() { + invalid = true; + } else { + accessor = Some(**value); + } + } + _ => invalid = true, + } + } + } + + if !has_leaf_marker { + if accessor_count > 0 { + return PredictLeafResolution::Missing; + } + return PredictLeafResolution::NotLeaf; + } + + if invalid || accessor_count != 1 { + return PredictLeafResolution::Missing; + } + + match accessor { + Some(accessor) => PredictLeafResolution::Accessor(accessor), + None => PredictLeafResolution::Missing, + } } -fn lookup_registered_predict_accessor(shape: &'static Shape) -> Option { - let registry = ACCESSOR_REGISTRY.get()?; - let guard = registry - .lock() - .expect("predict accessor registry lock poisoned"); - guard.get(&shape.id).copied() +fn is_predict_shape_identity(shape: &'static Shape) -> bool { + shape.type_identifier == "Predict" && shape.module_path == Some("dspy_rs::predictors::predict") } fn push_field(path: &str, field: &str) -> String { @@ -417,3 +392,159 @@ fn pointer_name(pointer: Option) -> &'static str { _ => "Pointer", } } + +#[cfg(test)] +mod tests { + use super::*; + use crate as dsrs; + use crate::Signature; + use crate::predictors::Predict as RealPredict; + use std::ops::ControlFlow; + use std::rc::Rc; + use std::sync::Arc; + + #[derive(Signature, Clone, Debug)] + struct DummySig { + #[input] + value: String, + + #[output] + done: bool, + } + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct SharedPointerModule { + rc_predictor: Rc>, + arc_predictor: Arc>, + } + + #[test] + fn named_parameters_rejects_shared_pointers() { + let mut module = SharedPointerModule { + rc_predictor: Rc::new(RealPredict::::new()), + arc_predictor: Arc::new(RealPredict::::new()), + }; + + match visit_named_predictors_mut(&mut module, |_path, _predictor| ControlFlow::Continue(())) + { + Err(NamedParametersError::Container { path, ty }) => { + assert_eq!(path, "rc_predictor"); + assert_eq!(ty, "Rc"); + } + Ok(_) => panic!("walk unexpectedly succeeded"), + Err(other) => panic!("unexpected error: {other:?}"), + } + } + + #[derive(facet::Facet)] + #[facet(crate = facet, dsrs::predict_accessor)] + struct MalformedAccessorLeaf; + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct MalformedAccessorModule { + malformed: MalformedAccessorLeaf, + } + + #[test] + fn named_parameters_rejects_malformed_predict_accessor_payload() { + let mut module = MalformedAccessorModule { + malformed: MalformedAccessorLeaf, + }; + + match visit_named_predictors_mut(&mut module, |_path, _predictor| ControlFlow::Continue(())) + { + Err(NamedParametersError::MissingAttr { path }) => { + assert_eq!(path, "malformed"); + } + Err(other) => panic!("unexpected error: {other:?}"), + Ok(_) => panic!("walk unexpectedly succeeded"), + } + } + + #[derive(facet::Facet)] + #[facet( + crate = facet, + dsrs::predict_accessor, + dsrs::predict_accessor + )] + struct DuplicateAccessorLeaf; + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct DuplicateAccessorModule { + duplicate: DuplicateAccessorLeaf, + } + + #[test] + fn named_parameters_rejects_duplicate_predict_accessor_attrs() { + let mut module = DuplicateAccessorModule { + duplicate: DuplicateAccessorLeaf, + }; + + match visit_named_predictors_mut(&mut module, |_path, _predictor| ControlFlow::Continue(())) + { + Err(NamedParametersError::MissingAttr { path }) => { + assert_eq!(path, "duplicate"); + } + Err(other) => panic!("unexpected error: {other:?}"), + Ok(_) => panic!("walk unexpectedly succeeded"), + } + } + + #[derive(facet::Facet)] + #[facet(crate = facet, dsrs::predict_accessor)] + struct AccessorOnlyLeaf; + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct AccessorOnlyModule { + leaf: AccessorOnlyLeaf, + } + + #[test] + fn named_parameters_rejects_accessor_without_leaf_marker() { + let mut module = AccessorOnlyModule { + leaf: AccessorOnlyLeaf, + }; + + match visit_named_predictors_mut(&mut module, |_path, _predictor| ControlFlow::Continue(())) + { + Err(NamedParametersError::MissingAttr { path }) => { + assert_eq!(path, "leaf"); + } + Err(other) => panic!("unexpected error: {other:?}"), + Ok(_) => panic!("walk unexpectedly succeeded"), + } + } + + #[test] + fn real_predict_shape_has_strict_identity_marker() { + assert!(is_predict_shape_identity(RealPredict::::SHAPE)); + } + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct Predict; + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct SameNameModule { + predictor: Predict, + } + + #[test] + fn type_name_alone_is_not_treated_as_predict_leaf() { + let mut module = SameNameModule { predictor: Predict }; + let mut paths = Vec::new(); + + visit_named_predictors_mut(&mut module, |path, _predictor| { + paths.push(path.to_string()); + ControlFlow::Continue(()) + }) + .expect("walk should succeed"); + + assert!(paths.is_empty()); + } +} diff --git a/crates/dspy-rs/src/core/mod.rs b/crates/dspy-rs/src/core/mod.rs index 28008eba..a16896b7 100644 --- a/crates/dspy-rs/src/core/mod.rs +++ b/crates/dspy-rs/src/core/mod.rs @@ -11,6 +11,11 @@ //! [`LmError`] — distinguishes LM failures from parse failures so callers can handle //! retries differently. [`LM`] is the language model client itself. //! +//! Optimizer leaf discovery is internal (`visit_named_predictors_mut`) and currently +//! traverses struct fields plus `Option`, `Vec`, `HashMap`, and `Box`. +//! `Rc`/`Arc` wrappers that contain `Predict` leaves are rejected with explicit +//! container errors. +//! //! Most users import these through the crate root (`use dspy_rs::*`). Module authors //! who need fine-grained prompt control also use [`SignatureSchema`] and the adapter //! building blocks directly. diff --git a/crates/dspy-rs/src/core/module.rs b/crates/dspy-rs/src/core/module.rs index 13be93c6..234998e3 100644 --- a/crates/dspy-rs/src/core/module.rs +++ b/crates/dspy-rs/src/core/module.rs @@ -4,6 +4,8 @@ use tracing::debug; use crate::{BamlType, Facet, PredictError, Predicted}; +type IndexedForwardResult = (usize, Result, PredictError>); + /// Strategy-swapping interface for prompting modules. /// /// Everything in dsrs is a Module — a bare LM call ([`crate::Predict`]), @@ -145,7 +147,7 @@ where None }; - let mut indexed_results: Vec<(usize, Result, PredictError>)> = + let mut indexed_results: Vec> = stream::iter(inputs.into_iter().enumerate()) .map(|(idx, input)| async move { (idx, module.call(input).await) }) .buffer_unordered(max_concurrency) @@ -159,10 +161,10 @@ where indexed_results.sort_by_key(|(idx, _)| *idx); - let outcomes = indexed_results - .into_iter() - .map(|(_, outcome)| outcome) - .collect::>(); + let mut outcomes = Vec::with_capacity(indexed_results.len()); + for (_, outcome) in indexed_results { + outcomes.push(outcome); + } debug!(outcomes = outcomes.len(), "forward_all completed"); outcomes } diff --git a/crates/dspy-rs/src/core/schema.rs b/crates/dspy-rs/src/core/schema.rs index fffcb0e1..2afbd7ba 100644 --- a/crates/dspy-rs/src/core/schema.rs +++ b/crates/dspy-rs/src/core/schema.rs @@ -117,20 +117,6 @@ pub struct SignatureSchema { } impl SignatureSchema { - pub(crate) fn from_parts( - instruction: &'static str, - input_fields: Vec, - output_fields: Vec, - output_format: Arc, - ) -> Self { - Self { - instruction, - input_fields: input_fields.into_boxed_slice(), - output_fields: output_fields.into_boxed_slice(), - output_format, - } - } - /// Returns the cached schema for signature `S`, building it on first access. /// /// # Panics @@ -156,7 +142,7 @@ impl SignatureSchema { let leaked = Box::leak(Box::new(built)); let mut guard = cache.lock().expect("schema cache lock poisoned"); - *guard.entry(TypeId::of::()).or_insert(leaked) + guard.entry(TypeId::of::()).or_insert(leaked) } fn build() -> Result { diff --git a/crates/dspy-rs/src/data/dataloader.rs b/crates/dspy-rs/src/data/dataloader.rs index fe6400cc..94b690b0 100644 --- a/crates/dspy-rs/src/data/dataloader.rs +++ b/crates/dspy-rs/src/data/dataloader.rs @@ -1,7 +1,7 @@ use anyhow::{Context, Result, anyhow}; use arrow::array::{ - Array, BooleanArray, Float32Array, Float64Array, Int8Array, Int16Array, Int32Array, - Int64Array, StringArray, UInt8Array, UInt16Array, UInt32Array, UInt64Array, + Array, BooleanArray, Float32Array, Float64Array, Int8Array, Int16Array, Int32Array, Int64Array, + StringArray, UInt8Array, UInt16Array, UInt32Array, UInt64Array, }; use bamltype::baml_types::BamlMap; use csv::{ReaderBuilder, StringRecord}; @@ -75,10 +75,13 @@ impl RowRecord { &self, key: &str, ) -> std::result::Result { - let value = self.values.get(key).ok_or_else(|| DataLoadError::MissingField { - row: self.row_index, - field: key.to_string(), - })?; + let value = self + .values + .get(key) + .ok_or_else(|| DataLoadError::MissingField { + row: self.row_index, + field: key.to_string(), + })?; match serde_json::from_value::(value.clone()) { Ok(parsed) => Ok(parsed), @@ -90,13 +93,12 @@ impl RowRecord { serde_json::Value::Bool(flag) => flag.to_string(), other => other.to_string(), }; - return serde_json::from_value::(serde_json::Value::String(coerced)).map_err( - |fallback_err| DataLoadError::TypeMismatch { + return serde_json::from_value::(serde_json::Value::String(coerced)) + .map_err(|fallback_err| DataLoadError::TypeMismatch { row: self.row_index, field: key.to_string(), message: fallback_err.to_string(), - }, - ); + }); } Err(DataLoadError::TypeMismatch { @@ -216,7 +218,10 @@ impl DataLoader { let _ = opts; let rows = Self::load_json_rows(path, lines)?; let examples = Self::rows_with_mapper(rows, mapper)?; - debug!(examples = examples.len(), "typed json examples loaded via mapper"); + debug!( + examples = examples.len(), + "typed json examples loaded via mapper" + ); Ok(examples) } @@ -282,7 +287,10 @@ impl DataLoader { let _ = opts; let rows = Self::load_csv_rows(path, delimiter, has_headers)?; let examples = Self::rows_with_mapper(rows, mapper)?; - debug!(examples = examples.len(), "typed csv examples loaded via mapper"); + debug!( + examples = examples.len(), + "typed csv examples loaded via mapper" + ); Ok(examples) } @@ -335,7 +343,10 @@ impl DataLoader { let _ = opts; let rows = Self::load_parquet_rows(Path::new(path))?; let examples = Self::rows_with_mapper(rows, mapper)?; - debug!(examples = examples.len(), "typed parquet examples loaded via mapper"); + debug!( + examples = examples.len(), + "typed parquet examples loaded via mapper" + ); Ok(examples) } @@ -405,7 +416,10 @@ impl DataLoader { let _ = opts; let rows = Self::load_hf_rows(dataset_name, subset, split, verbose)?; let examples = Self::rows_with_mapper(rows, mapper)?; - debug!(examples = examples.len(), "typed hf examples loaded via mapper"); + debug!( + examples = examples.len(), + "typed hf examples loaded via mapper" + ); Ok(examples) } @@ -433,7 +447,10 @@ impl DataLoader { { let rows = Self::load_rows_from_parquet_files(&parquet_files)?; let examples = Self::rows_to_typed::(rows, &opts)?; - debug!(examples = examples.len(), "typed hf parquet examples loaded"); + debug!( + examples = examples.len(), + "typed hf parquet examples loaded" + ); Ok(examples) } @@ -477,7 +494,10 @@ impl DataLoader { } } - fn load_json_rows(path: &str, lines: bool) -> std::result::Result, DataLoadError> { + fn load_json_rows( + path: &str, + lines: bool, + ) -> std::result::Result, DataLoadError> { let data = Self::fetch_text(path)?; if lines { @@ -486,16 +506,16 @@ impl DataLoader { if line.trim().is_empty() { continue; } - let value: serde_json::Value = serde_json::from_str(line) - .map_err(|err| DataLoadError::Json(anyhow!(err)))?; + let value: serde_json::Value = + serde_json::from_str(line).map_err(|err| DataLoadError::Json(anyhow!(err)))?; rows.push(row_from_json_value(value, idx + 1)?); } debug!(rows = rows.len(), "jsonl rows loaded"); return Ok(rows); } - let value: serde_json::Value = serde_json::from_str(&data) - .map_err(|err| DataLoadError::Json(anyhow!(err)))?; + let value: serde_json::Value = + serde_json::from_str(&data).map_err(|err| DataLoadError::Json(anyhow!(err)))?; let rows = match value { serde_json::Value::Array(items) => items @@ -577,14 +597,14 @@ impl DataLoader { let file = fs::File::open(path).map_err(|err| DataLoadError::Parquet(err.into()))?; let builder = ParquetRecordBatchReaderBuilder::try_new(file) .map_err(|err| DataLoadError::Parquet(err.into()))?; - let mut reader = builder + let reader = builder .build() .map_err(|err| DataLoadError::Parquet(err.into()))?; let mut rows = Vec::new(); let mut row_index = 1usize; - while let Some(batch_result) = reader.next() { + for batch_result in reader { let batch = batch_result.map_err(|err| DataLoadError::Parquet(err.into()))?; let schema = batch.schema(); @@ -659,7 +679,9 @@ impl DataLoader { continue; } - let file_path = repo.get(&file).map_err(|err| DataLoadError::Hf(err.into()))?; + let file_path = repo + .get(&file) + .map_err(|err| DataLoadError::Hf(err.into()))?; let path_str = file_path .to_str() .ok_or_else(|| DataLoadError::Io(anyhow!("invalid UTF-8 file path")))?; @@ -694,7 +716,10 @@ impl DataLoader { } fn resolve_source_field<'a>(field: &'a str, opts: &'a TypedLoadOptions) -> &'a str { - opts.field_map.get(field).map(String::as_str).unwrap_or(field) + opts.field_map + .get(field) + .map(String::as_str) + .unwrap_or(field) } fn typed_example_from_row( @@ -776,11 +801,12 @@ fn baml_map_for_fields<'a>( field: signature_field.to_string(), })?; - let baml_value = BamlValue::try_from(value.clone()).map_err(|err| DataLoadError::TypeMismatch { - row: row.row_index, - field: signature_field.to_string(), - message: err.to_string(), - })?; + let baml_value = + BamlValue::try_from(value.clone()).map_err(|err| DataLoadError::TypeMismatch { + row: row.row_index, + field: signature_field.to_string(), + message: err.to_string(), + })?; map.insert(signature_field.to_string(), baml_value); used_source_fields.insert(source_field.to_string()); diff --git a/crates/dspy-rs/src/evaluate/evaluator.rs b/crates/dspy-rs/src/evaluate/evaluator.rs index 740d3c83..8e7052ca 100644 --- a/crates/dspy-rs/src/evaluate/evaluator.rs +++ b/crates/dspy-rs/src/evaluate/evaluator.rs @@ -1,8 +1,8 @@ use anyhow::{Result, anyhow}; use crate::core::Module; -use crate::{Predicted, Signature}; use crate::predictors::Example; +use crate::{Predicted, Signature}; use super::FeedbackMetric; diff --git a/crates/dspy-rs/src/lib.rs b/crates/dspy-rs/src/lib.rs index 2ca52ef1..c8e5e2af 100644 --- a/crates/dspy-rs/src/lib.rs +++ b/crates/dspy-rs/src/lib.rs @@ -36,7 +36,12 @@ //! //! # async fn example() -> Result<(), PredictError> { //! // 1. Configure the LM -//! dspy_rs::configure(LM::from_model("openai/gpt-4o-mini")); +//! let lm = LM::builder() +//! .model("openai:gpt-4o-mini".to_string()) +//! .build() +//! .await +//! .unwrap(); +//! dspy_rs::configure(lm, ChatAdapter); //! //! // 2. Pick a strategy //! let cot = ChainOfThought::::new(); @@ -60,7 +65,7 @@ //! `DynModule`, `StrategyFactory` layer was prototyped and intentionally removed. //! Everything here is statically typed, which is both the strength and the constraint. //! - **MIPRO is instruction-only.** It should also mutate demos per-predictor based on -//! trace data — Python DSPy does this — but it doesn't yet. +//! trace data — Python DSPy does this — but it doesn't yet (`TODO(trace-demos)`). //! - **No `ReAct`, `BestOfN`, `Refine`, or other advanced modules** beyond `ChainOfThought`. //! The module trait and augmentation system are designed for them, but nobody's built //! them yet. @@ -68,8 +73,9 @@ //! "which attempt won in BestOfN"). This should probably be a trait with associated //! types, but it isn't. //! - **Container traversal is partial.** The optimizer walker handles `Option`, `Vec`, -//! `HashMap`, and `Box`. `Rc`/`Arc` containing `Predict` leaves will error -//! explicitly, not silently skip. +//! `HashMap`, and `Box`. `Rc`/`Arc` containing `Predict` leaves return +//! explicit container errors (not silent skips), and `Predict` discovery requires +//! a valid shape-local accessor payload (`TODO(dsrs-shared-ptr-policy)`). //! //! # Crate organization //! @@ -84,6 +90,10 @@ //! - [`trace`] — Execution graph recording for debugging //! - [`utils`] — Response caching +// TODO(dsrs-facet-lint-scope): remove this crate-level allow once Facet's generated +// extension-attr dispatch no longer triggers rust-lang/rust#52234 on in-crate usage. +#![allow(macro_expanded_macro_exports_accessed_by_absolute_paths)] + extern crate self as dspy_rs; pub mod adapter; diff --git a/crates/dspy-rs/src/modules/react.rs b/crates/dspy-rs/src/modules/react.rs index 2c6d4cc2..b234a4c5 100644 --- a/crates/dspy-rs/src/modules/react.rs +++ b/crates/dspy-rs/src/modules/react.rs @@ -114,12 +114,10 @@ where } } - if let Some(first_tool) = self.tools.first() { - return match first_tool.call(args).await { - Ok(result) => result, - Err(err) => format!("tool_error: {err}"), - }; - } + // Keep unknown actions explicit in trajectory instead of silently invoking + // an arbitrary tool, which hides planner/output bugs from callers. + tracing::debug!(tool = %normalized, "react tool name not found"); + let _ = args; format!("tool_not_found: {name}") } diff --git a/crates/dspy-rs/src/optimizer/copro.rs b/crates/dspy-rs/src/optimizer/copro.rs index d6c9c6a5..736f0f87 100644 --- a/crates/dspy-rs/src/optimizer/copro.rs +++ b/crates/dspy-rs/src/optimizer/copro.rs @@ -6,8 +6,8 @@ use crate::evaluate::{TypedMetric, average_score}; use crate::optimizer::{ Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use crate::{Facet, Module, Signature}; use crate::predictors::Example; +use crate::{Facet, Module, Signature}; /// Breadth-first instruction optimizer. /// @@ -63,7 +63,9 @@ impl COPRO { where M: for<'a> Facet<'a>, { - with_named_predictor(module, predictor_name, |predictor| Ok(predictor.instruction())) + with_named_predictor(module, predictor_name, |predictor| { + Ok(predictor.instruction()) + }) } fn set_instruction(module: &mut M, predictor_name: &str, instruction: String) -> Result<()> @@ -90,9 +92,33 @@ impl COPRO { M: Module + for<'a> Facet<'a>, MT: TypedMetric, { + let original_state = with_named_predictor(module, predictor_name, |predictor| { + Ok(predictor.dump_state()) + })?; + Self::set_instruction(module, predictor_name, candidate_instruction.to_string())?; - let outcomes = evaluate_module_with_metric(&*module, trainset, metric).await?; - Ok(average_score(&outcomes)) + let evaluation = evaluate_module_with_metric(&*module, trainset, metric).await; + + match evaluation { + Ok(outcomes) => { + with_named_predictor(module, predictor_name, |predictor| { + predictor.load_state(original_state.clone()) + })?; + Ok(average_score(&outcomes)) + } + Err(eval_err) => { + if let Err(restore_err) = + with_named_predictor(module, predictor_name, |predictor| { + predictor.load_state(original_state) + }) + { + return Err(anyhow!( + "candidate evaluation failed: {eval_err}; failed to restore predictor state: {restore_err}" + )); + } + Err(eval_err) + } + } } fn candidate_instructions( @@ -183,3 +209,95 @@ impl Optimizer for COPRO { Ok(()) } } + +#[cfg(test)] +mod tests { + use anyhow::{Result, anyhow}; + + use super::*; + use crate::evaluate::{MetricOutcome, TypedMetric}; + use crate::{CallMetadata, Predict, PredictError, Predicted, Signature}; + + #[derive(Signature, Clone, Debug)] + struct CoproStateSig { + #[input] + prompt: String, + + #[output] + answer: String, + } + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct CoproStateModule { + predictor: Predict, + } + + impl Module for CoproStateModule { + type Input = CoproStateSigInput; + type Output = CoproStateSigOutput; + + async fn forward( + &self, + input: CoproStateSigInput, + ) -> Result, PredictError> { + Ok(Predicted::new( + CoproStateSigOutput { + answer: input.prompt, + }, + CallMetadata::default(), + )) + } + } + + struct AlwaysFailMetric; + + impl TypedMetric for AlwaysFailMetric { + async fn evaluate( + &self, + _example: &Example, + _prediction: &Predicted, + ) -> Result { + Err(anyhow!("metric failure")) + } + } + + fn trainset() -> Vec> { + vec![Example::new( + CoproStateSigInput { + prompt: "one".to_string(), + }, + CoproStateSigOutput { + answer: "one".to_string(), + }, + )] + } + + #[tokio::test] + async fn score_candidate_restores_state_when_metric_errors() { + let optimizer = COPRO::builder().breadth(2).depth(1).build(); + let mut module = CoproStateModule { + predictor: Predict::::builder() + .instruction("seed-instruction") + .build(), + }; + + let err = optimizer + .score_candidate::( + &mut module, + "predictor", + "candidate instruction", + &trainset(), + &AlwaysFailMetric, + ) + .await + .expect_err("candidate scoring should propagate metric failure"); + assert!(err.to_string().contains("metric failure")); + + let instruction = with_named_predictor(&mut module, "predictor", |predictor| { + Ok(predictor.instruction()) + }) + .expect("predictor lookup should succeed"); + assert_eq!(instruction, "seed-instruction"); + } +} diff --git a/crates/dspy-rs/src/optimizer/gepa.rs b/crates/dspy-rs/src/optimizer/gepa.rs index 0ed598df..e4c799c6 100644 --- a/crates/dspy-rs/src/optimizer/gepa.rs +++ b/crates/dspy-rs/src/optimizer/gepa.rs @@ -6,8 +6,8 @@ use crate::evaluate::{MetricOutcome, TypedMetric, average_score}; use crate::optimizer::{ Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use crate::{BamlType, BamlValue, Facet, Module, Signature}; use crate::predictors::Example; +use crate::{BamlType, BamlValue, Facet, Module, Signature}; use super::pareto::ParetoFrontier; @@ -159,11 +159,7 @@ pub struct GEPA { } impl GEPA { - fn would_exceed_budget( - current: usize, - batch_cost: usize, - max_budget: Option, - ) -> bool { + fn would_exceed_budget(current: usize, batch_cost: usize, max_budget: Option) -> bool { max_budget.is_some_and(|max| current.saturating_add(batch_cost) > max) } @@ -191,8 +187,30 @@ impl GEPA { M: Module + for<'a> Facet<'a>, MT: TypedMetric, { + let original_state = + with_named_predictor(module, module_name, |predictor| Ok(predictor.dump_state()))?; + Self::set_instruction(module, module_name, instruction.to_string())?; - evaluate_module_with_metric(&*module, examples, metric).await + let evaluation = evaluate_module_with_metric(&*module, examples, metric).await; + + match evaluation { + Ok(outcomes) => { + with_named_predictor(module, module_name, |predictor| { + predictor.load_state(original_state.clone()) + })?; + Ok(outcomes) + } + Err(eval_err) => { + if let Err(restore_err) = with_named_predictor(module, module_name, |predictor| { + predictor.load_state(original_state) + }) { + return Err(anyhow!( + "candidate evaluation failed: {eval_err}; failed to restore predictor state: {restore_err}" + )); + } + Err(eval_err) + } + } } fn require_feedback( @@ -427,7 +445,24 @@ impl GEPA { }; let best_outputs_valset = if self.track_best_outputs { - Some(Self::collect_best_outputs::(module, eval_set).await?) + if Self::would_exceed_budget(total_lm_calls, eval_set.len(), self.max_lm_calls) + || Self::would_exceed_budget(total_rollouts, eval_set.len(), self.max_rollouts) + { + tracing::debug!( + eval_examples = eval_set.len(), + total_lm_calls, + total_rollouts, + max_lm_calls = ?self.max_lm_calls, + max_rollouts = ?self.max_rollouts, + "skipping best output collection because budget would be exceeded" + ); + None + } else { + let outputs = Self::collect_best_outputs::(module, eval_set).await?; + total_lm_calls = total_lm_calls.saturating_add(eval_set.len()); + total_rollouts = total_rollouts.saturating_add(eval_set.len()); + Some(outputs) + } } else { None }; @@ -464,3 +499,95 @@ impl Optimizer for GEPA { .await } } + +#[cfg(test)] +mod tests { + use anyhow::{Result, anyhow}; + + use super::*; + use crate::evaluate::{MetricOutcome, TypedMetric}; + use crate::{CallMetadata, Predict, PredictError, Predicted, Signature}; + + #[derive(Signature, Clone, Debug)] + struct GepaStateSig { + #[input] + prompt: String, + + #[output] + answer: String, + } + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct GepaStateModule { + predictor: Predict, + } + + impl Module for GepaStateModule { + type Input = GepaStateSigInput; + type Output = GepaStateSigOutput; + + async fn forward( + &self, + input: GepaStateSigInput, + ) -> Result, PredictError> { + Ok(Predicted::new( + GepaStateSigOutput { + answer: input.prompt, + }, + CallMetadata::default(), + )) + } + } + + struct AlwaysFailMetric; + + impl TypedMetric for AlwaysFailMetric { + async fn evaluate( + &self, + _example: &Example, + _prediction: &Predicted, + ) -> Result { + Err(anyhow!("metric failure")) + } + } + + fn eval_set() -> Vec> { + vec![Example::new( + GepaStateSigInput { + prompt: "one".to_string(), + }, + GepaStateSigOutput { + answer: "one".to_string(), + }, + )] + } + + #[tokio::test] + async fn evaluate_candidate_restores_state_when_metric_errors() { + let optimizer = GEPA::builder().num_iterations(1).minibatch_size(1).build(); + let mut module = GepaStateModule { + predictor: Predict::::builder() + .instruction("seed-instruction") + .build(), + }; + + let err = optimizer + .evaluate_candidate::( + &mut module, + "predictor", + "candidate instruction", + &eval_set(), + &AlwaysFailMetric, + ) + .await + .expect_err("candidate evaluation should propagate metric failure"); + assert!(err.to_string().contains("metric failure")); + + let instruction = with_named_predictor(&mut module, "predictor", |predictor| { + Ok(predictor.instruction()) + }) + .expect("predictor lookup should succeed"); + assert_eq!(instruction, "seed-instruction"); + } +} diff --git a/crates/dspy-rs/src/optimizer/mipro.rs b/crates/dspy-rs/src/optimizer/mipro.rs index ab657b9e..6f2b4136 100644 --- a/crates/dspy-rs/src/optimizer/mipro.rs +++ b/crates/dspy-rs/src/optimizer/mipro.rs @@ -5,8 +5,8 @@ use crate::evaluate::{TypedMetric, average_score}; use crate::optimizer::{ Optimizer, evaluate_module_with_metric, predictor_names, with_named_predictor, }; -use crate::{BamlType, BamlValue, Facet, Module, Signature, SignatureSchema}; use crate::predictors::Example; +use crate::{BamlType, BamlValue, Facet, Module, Signature, SignatureSchema}; /// A single program execution trace: input, outputs, and score. /// @@ -218,10 +218,7 @@ impl MIPROv2 { num_candidates: usize, ) -> Vec { let tips = PromptingTips::default_tips(); - let score_hint = traces - .iter() - .filter_map(|t| t.score) - .fold(0.0f32, f32::max); + let score_hint = traces.iter().filter_map(|t| t.score).fold(0.0f32, f32::max); (0..num_candidates) .map(|idx| { @@ -237,10 +234,7 @@ impl MIPROv2 { } pub fn create_prompt_candidates(&self, instructions: Vec) -> Vec { - instructions - .into_iter() - .map(PromptCandidate::new) - .collect() + instructions.into_iter().map(PromptCandidate::new).collect() } async fn evaluate_candidate( @@ -257,6 +251,10 @@ impl MIPROv2 { M: Module + for<'a> Facet<'a>, MT: TypedMetric, { + let original_state = with_named_predictor(module, predictor_name, |predictor| { + Ok(predictor.dump_state()) + })?; + with_named_predictor(module, predictor_name, |predictor| { predictor.set_instruction(candidate.instruction.clone()); // TODO(trace-demos): derive per-predictor demos from successful traces. @@ -266,8 +264,28 @@ impl MIPROv2 { let minibatch_end = eval_examples.len().min(self.minibatch_size); let minibatch = &eval_examples[..minibatch_end]; - let outcomes = evaluate_module_with_metric(&*module, minibatch, metric).await?; - Ok(average_score(&outcomes)) + let evaluation = evaluate_module_with_metric(&*module, minibatch, metric).await; + + match evaluation { + Ok(outcomes) => { + with_named_predictor(module, predictor_name, |predictor| { + predictor.load_state(original_state.clone()) + })?; + Ok(average_score(&outcomes)) + } + Err(eval_err) => { + if let Err(restore_err) = + with_named_predictor(module, predictor_name, |predictor| { + predictor.load_state(original_state) + }) + { + return Err(anyhow!( + "candidate evaluation failed: {eval_err}; failed to restore predictor state: {restore_err}" + )); + } + Err(eval_err) + } + } } async fn evaluate_and_select_best( @@ -365,12 +383,11 @@ impl Optimizer for MIPROv2 { })? }; - let traces = self.generate_traces::(module, &trainset, metric).await?; - let instructions = self.generate_candidate_instructions( - &signature_desc, - &traces, - self.num_candidates, - ); + let traces = self + .generate_traces::(module, &trainset, metric) + .await?; + let instructions = + self.generate_candidate_instructions(&signature_desc, &traces, self.num_candidates); let candidates = self.create_prompt_candidates(instructions); let best_candidate = self .evaluate_and_select_best::( @@ -393,3 +410,100 @@ impl Optimizer for MIPROv2 { Ok(()) } } + +#[cfg(test)] +mod tests { + use anyhow::{Result, anyhow}; + + use super::*; + use crate::evaluate::{MetricOutcome, TypedMetric}; + use crate::{CallMetadata, Predict, PredictError, Predicted, Signature}; + + #[derive(Signature, Clone, Debug)] + struct MiproStateSig { + #[input] + prompt: String, + + #[output] + answer: String, + } + + #[derive(facet::Facet)] + #[facet(crate = facet)] + struct MiproStateModule { + predictor: Predict, + } + + impl Module for MiproStateModule { + type Input = MiproStateSigInput; + type Output = MiproStateSigOutput; + + async fn forward( + &self, + input: MiproStateSigInput, + ) -> Result, PredictError> { + Ok(Predicted::new( + MiproStateSigOutput { + answer: input.prompt, + }, + CallMetadata::default(), + )) + } + } + + struct AlwaysFailMetric; + + impl TypedMetric for AlwaysFailMetric { + async fn evaluate( + &self, + _example: &Example, + _prediction: &Predicted, + ) -> Result { + Err(anyhow!("metric failure")) + } + } + + fn trainset() -> Vec> { + vec![Example::new( + MiproStateSigInput { + prompt: "one".to_string(), + }, + MiproStateSigOutput { + answer: "one".to_string(), + }, + )] + } + + #[tokio::test] + async fn evaluate_candidate_restores_state_when_metric_errors() { + let optimizer = MIPROv2::builder() + .num_candidates(2) + .num_trials(1) + .minibatch_size(1) + .build(); + let mut module = MiproStateModule { + predictor: Predict::::builder() + .instruction("seed-instruction") + .build(), + }; + let candidate = PromptCandidate::new("candidate instruction".to_string()); + + let err = optimizer + .evaluate_candidate::( + &mut module, + &candidate, + &trainset(), + "predictor", + &AlwaysFailMetric, + ) + .await + .expect_err("candidate evaluation should propagate metric failure"); + assert!(err.to_string().contains("metric failure")); + + let instruction = with_named_predictor(&mut module, "predictor", |predictor| { + Ok(predictor.instruction()) + }) + .expect("predictor lookup should succeed"); + assert_eq!(instruction, "seed-instruction"); + } +} diff --git a/crates/dspy-rs/src/optimizer/mod.rs b/crates/dspy-rs/src/optimizer/mod.rs index 5e23c3bd..7d04a961 100644 --- a/crates/dspy-rs/src/optimizer/mod.rs +++ b/crates/dspy-rs/src/optimizer/mod.rs @@ -12,8 +12,8 @@ //! //! # How it works internally //! -//! 1. The optimizer calls `named_parameters` to discover all `Predict` leaves via -//! Facet reflection +//! 1. The optimizer calls `visit_named_predictors_mut` to discover all `Predict` +//! leaves via Facet reflection //! 2. For each leaf, it reads the current instruction and generates candidates //! 3. Each candidate is evaluated by setting the instruction, running the module on the //! trainset, and scoring with the metric @@ -42,11 +42,12 @@ pub use pareto::*; use anyhow::Result; use anyhow::anyhow; +use std::ops::ControlFlow; -use crate::core::{DynPredictor, named_parameters}; -use crate::{Facet, Module, Signature}; +use crate::core::{DynPredictor, visit_named_predictors_mut}; use crate::evaluate::{MetricOutcome, TypedMetric, evaluate_trainset}; use crate::predictors::Example; +use crate::{Facet, Module, Signature}; /// Tunes a module's [`Predict`](crate::Predict) leaves for better performance. /// @@ -104,16 +105,19 @@ where /// Returns the dotted-path names of all [`Predict`](crate::Predict) leaves in a module. /// -/// Convenience wrapper around [`named_parameters`](crate::core::dyn_predictor::named_parameters) -/// that discards the mutable handles and returns just the names. +/// Convenience wrapper around +/// [`visit_named_predictors_mut`](crate::core::dyn_predictor::visit_named_predictors_mut) +/// that collects discovered paths. pub(crate) fn predictor_names(module: &mut M) -> Result> where M: for<'a> Facet<'a>, { - Ok(named_parameters(module)? - .into_iter() - .map(|(name, _)| name) - .collect()) + let mut names = Vec::new(); + visit_named_predictors_mut(module, |name, _predictor| { + names.push(name.to_string()); + ControlFlow::Continue(()) + })?; + Ok(names) } /// Looks up a single named predictor and applies a closure to it. @@ -121,19 +125,23 @@ where /// # Errors /// /// Returns an error if the predictor name doesn't match any discovered leaf. -pub(crate) fn with_named_predictor( - module: &mut M, - predictor_name: &str, - f: F, -) -> Result +pub(crate) fn with_named_predictor(module: &mut M, predictor_name: &str, f: F) -> Result where M: for<'a> Facet<'a>, F: FnOnce(&mut dyn DynPredictor) -> Result, { - let mut predictors = named_parameters(module)?; - let (_, predictor) = predictors - .iter_mut() - .find(|(name, _)| name == predictor_name) - .ok_or_else(|| anyhow!("predictor `{predictor_name}` not found"))?; - f(*predictor) + let mut apply = Some(f); + let mut result = None; + + visit_named_predictors_mut(module, |name, predictor| { + if name != predictor_name { + return ControlFlow::Continue(()); + } + + let f = apply.take().expect("selector closure should only run once"); + result = Some(f(predictor)); + ControlFlow::Break(()) + })?; + + result.unwrap_or_else(|| Err(anyhow!("predictor `{predictor_name}` not found"))) } diff --git a/crates/dspy-rs/src/predictors/predict.rs b/crates/dspy-rs/src/predictors/predict.rs index 236de78b..b45a0e69 100644 --- a/crates/dspy-rs/src/predictors/predict.rs +++ b/crates/dspy-rs/src/predictors/predict.rs @@ -4,15 +4,17 @@ use rig::tool::ToolDyn; use serde_json::Value; use std::collections::HashMap; use std::marker::PhantomData; +use std::ops::ControlFlow; use std::sync::Arc; use tracing::{debug, trace}; -use crate::core::{DynPredictor, Module, PredictState, Signature, register_predict_accessor}; +use crate as dsrs; +use crate::core::{DynPredictor, Module, PredictAccessorFns, PredictState, Signature}; +use crate::data::example::Example as RawExample; use crate::{ BamlType, BamlValue, CallMetadata, Chat, ChatAdapter, GLOBAL_SETTINGS, LmError, LmUsage, PredictError, Predicted, Prediction, SignatureSchema, }; -use crate::data::example::Example as RawExample; /// A typed input/output pair for few-shot prompting. /// @@ -42,15 +44,32 @@ impl Example { } } -fn predict_dyn_accessor(value: *mut ()) -> *mut dyn DynPredictor +fn predict_dyn_visit( + value: *mut (), + visitor: &mut dyn FnMut(&mut dyn DynPredictor) -> ControlFlow<()>, +) -> ControlFlow<()> where S: Signature, { - // SAFETY: this function is only called via `register_predict_accessor` for - // `Predict`'s own shape, so `value` points at a valid `Predict`. + // SAFETY: this function is only called through the shape-local + // `dsrs::predict_accessor` payload attached to a shape with strict + // `Predict` identity (`type_identifier` + `module_path`). let typed = unsafe { &mut *(value.cast::>()) }; - let dyn_ref: &mut dyn DynPredictor = typed; - dyn_ref as *mut dyn DynPredictor + visitor(typed) +} + +type VisitPredictorMutFn = + fn(*mut (), &mut dyn FnMut(&mut dyn DynPredictor) -> ControlFlow<()>) -> ControlFlow<()>; + +trait PredictAccessorProvider { + const VISIT_MUT: VisitPredictorMutFn; +} + +impl PredictAccessorProvider for S +where + S: Signature, +{ + const VISIT_MUT: VisitPredictorMutFn = predict_dyn_visit::; } /// The leaf module. The only thing in the system that actually calls the LM. @@ -66,14 +85,14 @@ where /// The optimizer's Facet walker discovers leaves automatically from struct fields — /// no `#[parameter]` annotations or manual traversal needed. /// -/// # Construction side effect +/// # Optimizer discovery +/// +/// `Predict` encodes shape-local discovery payloads: +/// - strict shape identity (`type_identifier` + `module_path`) identifies the leaf +/// - `dsrs::predict_accessor` stores the typed mutable accessor visitor /// -/// `new()` and `builder().build()` register an accessor function in a global registry. -/// This is a workaround — ideally the type system would handle it, but Facet doesn't -/// yet support shape-local typed attr payloads on generic containers. If you construct -/// a `Predict` without going through `new()`/`build()` (e.g. via unsafe or manual -/// field init), `named_parameters` will error when it finds -/// the unregistered leaf. +/// The optimizer walker consumes these through `visit_named_predictors_mut`. +/// There is no runtime registration side effect in `new()` or `build()`. /// /// ```no_run /// # async fn example() -> Result<(), dspy_rs::PredictError> { @@ -98,6 +117,9 @@ where /// ``` #[derive(facet::Facet)] #[facet(crate = facet, opaque)] +#[facet(dsrs::predict_accessor = &PredictAccessorFns { + visit_mut: ::VISIT_MUT, +})] pub struct Predict { #[facet(skip, opaque)] tools: Vec>, @@ -110,15 +132,7 @@ pub struct Predict { impl Predict { /// Creates a new `Predict` with no demos, no instruction override, and no tools. - /// - /// Registers the accessor function for this concrete `Predict` type so the - /// optimizer walker can discover it. See the struct-level doc on construction - /// side effects. pub fn new() -> Self { - register_predict_accessor( - >::SHAPE, - predict_dyn_accessor::, - ); Self { tools: Vec::new(), demos: Vec::new(), @@ -284,10 +298,7 @@ impl Predict { .count(); debug!( output_fields = field_metas.len(), - checks_total, - checks_failed, - flagged_fields, - "typed parse completed" + checks_total, checks_failed, flagged_fields, "typed parse completed" ); if let Some(id) = node_id { @@ -378,12 +389,8 @@ impl PredictBuilder { self } - /// Builds the [`Predict`] and registers its accessor for optimizer discovery. + /// Builds the [`Predict`]. pub fn build(self) -> Predict { - register_predict_accessor( - as facet::Facet<'static>>::SHAPE, - predict_dyn_accessor::, - ); Predict { tools: self.tools, demos: self.demos, diff --git a/crates/dspy-rs/tests/test_adapters.rs b/crates/dspy-rs/tests/test_adapters.rs index 997f0b1f..65ee7279 100644 --- a/crates/dspy-rs/tests/test_adapters.rs +++ b/crates/dspy-rs/tests/test_adapters.rs @@ -9,6 +9,46 @@ struct BasicSignature { answer: String, } +#[derive(Signature, Clone, Debug)] +#[expect( + dead_code, + reason = "Used via generated flattened input types in deep flatten prompt tests." +)] +struct FlattenLeafSig { + #[input] + leaf: String, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug)] +#[expect( + dead_code, + reason = "Used via generated flattened input types in deep flatten prompt tests." +)] +struct FlattenMiddleSig { + #[input] + #[flatten] + inner: FlattenLeafSigInput, + + #[output] + answer: String, +} + +#[derive(Signature, Clone, Debug)] +struct DeepFlattenSig { + #[input] + question: String, + + #[input] + #[flatten] + middle: FlattenMiddleSigInput, + + #[output] + answer: String, +} + #[test] fn chat_adapter_formats_typed_system_prompt() { let adapter = ChatAdapter; @@ -30,12 +70,15 @@ fn chat_adapter_formats_user_and_assistant_messages() { let user = adapter.format_user_message_typed::(&BasicSignatureInput { problem: "What is the capital of France?".to_string(), }); - let assistant = adapter.format_assistant_message_typed::(&BasicSignatureOutput { - answer: "Paris".to_string(), - }); + let assistant = + adapter.format_assistant_message_typed::(&BasicSignatureOutput { + answer: "Paris".to_string(), + }); assert!(user.contains("[[ ## problem ## ]]")); assert!(user.contains("What is the capital of France?")); + assert!(user.contains("Respond with the corresponding output fields")); + assert!(user.contains("[[ ## answer ## ]]")); assert!(assistant.contains("[[ ## answer ## ]]")); assert!(assistant.contains("Paris")); @@ -52,14 +95,45 @@ fn chat_adapter_parses_typed_response() { .expect("typed response should parse"); assert_eq!(output.answer, "Paris"); - assert_eq!(field_meta.get("answer").map(|meta| meta.raw_text.as_str()), Some("Paris")); + assert_eq!( + field_meta.get("answer").map(|meta| meta.raw_text.as_str()), + Some("Paris") + ); } #[test] fn parse_sections_accepts_non_word_field_names() { - let sections = ChatAdapter::parse_sections( - "[[ ## detail.note ## ]]\nhello\n\n[[ ## completed ## ]]\n", + let sections = + ChatAdapter::parse_sections("[[ ## detail.note ## ]]\nhello\n\n[[ ## completed ## ]]\n"); + + assert_eq!( + sections.get("detail.note").map(String::as_str), + Some("hello") ); +} - assert_eq!(sections.get("detail.note").map(String::as_str), Some("hello")); +#[test] +fn chat_adapter_formats_user_messages_with_multi_level_flatten_paths() { + let adapter = ChatAdapter; + let user = adapter.format_user_message_typed::(&DeepFlattenSigInput { + question: "What should we answer?".to_string(), + middle: FlattenMiddleSigInput { + inner: FlattenLeafSigInput { + leaf: "flattened-value".to_string(), + }, + }, + }); + + assert!( + user.contains("[[ ## question ## ]]"), + "question field should be present, got:\n{user}" + ); + assert!( + user.contains("[[ ## leaf ## ]]"), + "deeply flattened leaf field should be present, got:\n{user}" + ); + assert!( + user.contains("flattened-value"), + "deeply flattened leaf value should be present, got:\n{user}" + ); } diff --git a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs index c07a4a43..6e7614a0 100644 --- a/crates/dspy-rs/tests/test_chain_of_thought_swap.rs +++ b/crates/dspy-rs/tests/test_chain_of_thought_swap.rs @@ -2,7 +2,6 @@ use dspy_rs::{ ChainOfThought, ChatAdapter, LM, LMClient, Module, Predict, Reasoning, Signature, TestCompletionModel, WithReasoning, configure, }; -use facet; use rig::completion::AssistantContent; use rig::message::Text; use std::sync::LazyLock; diff --git a/crates/dspy-rs/tests/test_chat_prompt_composition.rs b/crates/dspy-rs/tests/test_chat_prompt_composition.rs new file mode 100644 index 00000000..e216c15a --- /dev/null +++ b/crates/dspy-rs/tests/test_chat_prompt_composition.rs @@ -0,0 +1,230 @@ +use dspy_rs::{ChatAdapter, Example, Signature}; + +#[derive(Signature, Clone, Debug)] +/// Answer the prompt using the provided context. +struct PromptPartsSig { + #[input(desc = "User question")] + question: String, + + #[input(desc = "Retrieved context")] + context: String, + + #[output(desc = "Final answer")] + answer: String, + + #[output(desc = "Confidence score")] + confidence: f64, +} + +#[derive(Signature, Clone, Debug)] +struct EmptyInstructionSig { + #[input] + topic: String, + + #[output] + summary: String, +} + +fn find_required(haystack: &str, needle: &str) -> usize { + haystack + .find(needle) + .unwrap_or_else(|| panic!("missing `{needle}` in:\n{haystack}")) +} + +fn response_instruction_line(message: &str) -> &str { + message + .lines() + .find(|line| line.starts_with("Respond with the corresponding output fields")) + .expect("response instruction line") +} + +#[test] +fn system_prompt_includes_all_sections_in_order_with_boundaries() { + let adapter = ChatAdapter; + let system = adapter + .format_system_message_typed::() + .expect("system prompt should format"); + + let descriptions_idx = find_required(&system, "Your input fields are:"); + let structure_idx = find_required( + &system, + "All interactions will be structured in the following way, with the appropriate values filled in.", + ); + let instructions_idx = find_required(&system, "Respond with the corresponding output fields"); + let objective_idx = find_required(&system, "In adhering to this structure, your objective is:"); + + assert!(descriptions_idx < structure_idx); + assert!(structure_idx < instructions_idx); + assert!(instructions_idx < objective_idx); + + assert!( + system.contains( + "[[ ## completed ## ]]\n\nRespond with the corresponding output fields, starting with the field", + ), + "field-structure and response-instruction boundary missing:\n{system}" + ); + assert!( + system.contains( + "and then ending with the marker for `[[ ## completed ## ]]`.\n\nIn adhering to this structure, your objective is:", + ), + "response-instruction and objective boundary missing:\n{system}" + ); + + assert_eq!( + system + .matches("Respond with the corresponding output fields") + .count(), + 1 + ); +} + +#[test] +fn system_prompt_field_descriptions_and_structure_are_present() { + let adapter = ChatAdapter; + let system = adapter + .format_system_message_typed::() + .expect("system prompt should format"); + + assert!(system.contains("`question` (string): User question")); + assert!(system.contains("`context` (string): Retrieved context")); + assert!(system.contains("`answer` (string): Final answer")); + assert!(system.contains("`confidence` (float): Confidence score")); + + assert!(system.contains("[[ ## question ## ]]")); + assert!(system.contains("[[ ## context ## ]]")); + assert!(system.contains("[[ ## answer ## ]]")); + assert!(system.contains("[[ ## confidence ## ]]")); + assert!(system.contains("Output field `answer` should be of type: string")); + assert!(system.contains("Output field `confidence` should be of type: float")); + assert!(system.contains("[[ ## completed ## ]]")); +} + +#[test] +fn response_instruction_line_orders_output_fields() { + let adapter = ChatAdapter; + let system = adapter + .format_system_message_typed::() + .expect("system prompt should format"); + let line = response_instruction_line(&system); + + let answer_idx = find_required(line, "[[ ## answer ## ]]"); + let confidence_idx = find_required(line, "[[ ## confidence ## ]]"); + assert!(answer_idx < confidence_idx); + assert!(line.contains("[[ ## completed ## ]]")); +} + +#[test] +fn instruction_override_is_used_in_objective_section() { + let adapter = ChatAdapter; + let override_instruction = "Follow the rubric.\nCite the context."; + let system = adapter + .format_system_message_typed_with_instruction::(Some(override_instruction)) + .expect("system prompt should format with override"); + + assert!(system.contains("In adhering to this structure, your objective is:")); + assert!(system.contains(" Follow the rubric.")); + assert!(system.contains(" Cite the context.")); + assert!(!system.contains("Answer the prompt using the provided context.")); +} + +#[test] +fn empty_instruction_uses_generated_fallback_objective() { + let adapter = ChatAdapter; + let system = adapter + .format_system_message_typed::() + .expect("system prompt should format"); + + assert!(system.contains("In adhering to this structure, your objective is:")); + assert!(system.contains("Given the fields `topic`, produce the fields `summary`.")); +} + +#[test] +fn typed_and_schema_system_builders_match() { + let adapter = ChatAdapter; + let typed = adapter + .format_system_message_typed_with_instruction::(Some("Override objective")) + .expect("typed system prompt"); + let schema = adapter + .build_system(PromptPartsSig::schema(), Some("Override objective")) + .expect("schema system prompt"); + + assert_eq!(typed, schema); +} + +#[test] +fn typed_and_schema_user_builders_match_and_append_requirements() { + let adapter = ChatAdapter; + let input = PromptPartsSigInput { + question: "What is the capital of France?".to_string(), + context: "Facts: Paris is the capital city of France.".to_string(), + }; + + let typed = adapter.format_user_message_typed::(&input); + let schema = adapter.format_input(PromptPartsSig::schema(), &input); + assert_eq!(typed, schema); + + assert!(typed.contains("[[ ## question ## ]]")); + assert!(typed.contains("What is the capital of France?")); + assert!(typed.contains("[[ ## context ## ]]")); + assert!(typed.contains("Facts: Paris is the capital city of France.")); + + let context_idx = find_required(&typed, "Facts: Paris is the capital city of France."); + let instruction_idx = find_required(&typed, "Respond with the corresponding output fields"); + assert!(context_idx < instruction_idx); + assert_eq!( + typed + .matches("Respond with the corresponding output fields") + .count(), + 1 + ); + assert!( + typed + .trim_end() + .ends_with("and then ending with the marker for `[[ ## completed ## ]]`.") + ); +} + +#[test] +fn demo_format_composes_user_and_assistant_parts() { + let adapter = ChatAdapter; + let demo = Example::::new( + PromptPartsSigInput { + question: "Question?".to_string(), + context: "Context.".to_string(), + }, + PromptPartsSigOutput { + answer: "Answer.".to_string(), + confidence: 0.8, + }, + ); + + let (user_msg, assistant_msg) = adapter.format_demo_typed::(&demo); + + assert!(user_msg.contains("[[ ## question ## ]]")); + assert!(user_msg.contains("[[ ## context ## ]]")); + assert!(user_msg.contains("Respond with the corresponding output fields")); + assert!(user_msg.contains("[[ ## answer ## ]]")); + assert!(user_msg.contains("[[ ## confidence ## ]]")); + + assert!(assistant_msg.contains("[[ ## answer ## ]]")); + assert!(assistant_msg.contains("[[ ## confidence ## ]]")); + assert!(assistant_msg.trim_end().ends_with("[[ ## completed ## ]]")); +} + +#[test] +fn typed_and_schema_assistant_builders_match_and_end_with_completed_marker() { + let adapter = ChatAdapter; + let output = PromptPartsSigOutput { + answer: "Paris".to_string(), + confidence: 0.9, + }; + + let typed = adapter.format_assistant_message_typed::(&output); + let schema = adapter.format_output(PromptPartsSig::schema(), &output); + assert_eq!(typed, schema); + + let answer_idx = find_required(&typed, "[[ ## answer ## ]]"); + let confidence_idx = find_required(&typed, "[[ ## confidence ## ]]"); + assert!(answer_idx < confidence_idx); + assert!(typed.trim_end().ends_with("[[ ## completed ## ]]")); +} diff --git a/crates/dspy-rs/tests/test_chat_prompt_golden.rs b/crates/dspy-rs/tests/test_chat_prompt_golden.rs new file mode 100644 index 00000000..0cca5ece --- /dev/null +++ b/crates/dspy-rs/tests/test_chat_prompt_golden.rs @@ -0,0 +1,109 @@ +use dspy_rs::{ChatAdapter, Example, Signature}; + +#[derive(Signature, Clone, Debug)] +struct GoldenSig { + #[input] + question: String, + + #[output] + answer: String, +} + +#[test] +fn golden_system_prompt_is_stable() { + let adapter = ChatAdapter; + let system = adapter + .format_system_message_typed::() + .expect("system prompt should format"); + + let expected = concat!( + "Your input fields are:\n", + "1. `question` (string)\n", + "\n", + "Your output fields are:\n", + "1. `answer` (string)\n", + "\n", + "All interactions will be structured in the following way, with the appropriate values filled in.\n", + "\n", + "[[ ## question ## ]]\n", + "question\n", + "\n", + "[[ ## answer ## ]]\n", + "Output field `answer` should be of type: string\n", + "\n", + "[[ ## completed ## ]]\n", + "\n", + "Respond with the corresponding output fields, starting with the field `[[ ## answer ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`.\n", + "\n", + "In adhering to this structure, your objective is: \n", + " Given the fields `question`, produce the fields `answer`.", + ); + + assert_eq!(system, expected); +} + +#[test] +fn golden_user_prompt_is_stable() { + let adapter = ChatAdapter; + let input = GoldenSigInput { + question: "What is 2+2?".to_string(), + }; + let user = adapter.format_user_message_typed::(&input); + + let expected = concat!( + "[[ ## question ## ]]\n", + "What is 2+2?\n", + "\n", + "Respond with the corresponding output fields, starting with the field `[[ ## answer ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`.", + ); + + assert_eq!(user, expected); +} + +#[test] +fn golden_assistant_prompt_is_stable() { + let adapter = ChatAdapter; + let output = GoldenSigOutput { + answer: "4".to_string(), + }; + let assistant = adapter.format_assistant_message_typed::(&output); + + let expected = concat!( + "[[ ## answer ## ]]\n", + "4\n", + "\n", + "[[ ## completed ## ]]\n", + ); + assert_eq!(assistant, expected); +} + +#[test] +fn golden_demo_messages_are_stable() { + let adapter = ChatAdapter; + let demo = Example::::new( + GoldenSigInput { + question: "What is 2+2?".to_string(), + }, + GoldenSigOutput { + answer: "4".to_string(), + }, + ); + + let (user, assistant) = adapter.format_demo_typed::(&demo); + + let expected_user = concat!( + "[[ ## question ## ]]\n", + "What is 2+2?\n", + "\n", + "Respond with the corresponding output fields, starting with the field `[[ ## answer ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`.", + ); + let expected_assistant = concat!( + "[[ ## answer ## ]]\n", + "4\n", + "\n", + "[[ ## completed ## ]]\n", + ); + + assert_eq!(user, expected_user); + assert_eq!(assistant, expected_assistant); +} diff --git a/crates/dspy-rs/tests/test_dataloader.rs b/crates/dspy-rs/tests/test_dataloader.rs index 16826b8f..e98d8db8 100644 --- a/crates/dspy-rs/tests/test_dataloader.rs +++ b/crates/dspy-rs/tests/test_dataloader.rs @@ -8,7 +8,6 @@ use dspy_rs::{ PredictError, Predicted, Signature, TypedLoadOptions, TypedMetric, UnknownFieldPolicy, average_score, evaluate_trainset, }; -use facet; use parquet::arrow::ArrowWriter; use std::collections::HashMap; use std::fs; @@ -45,7 +44,10 @@ impl Module for EchoModule { type Input = LoaderSigInput; type Output = LoaderSigOutput; - async fn forward(&self, input: LoaderSigInput) -> Result, PredictError> { + async fn forward( + &self, + input: LoaderSigInput, + ) -> Result, PredictError> { let _ = &self.predictor; Ok(Predicted::new( LoaderSigOutput { @@ -154,10 +156,7 @@ fn csv_unknown_extra_columns_ignored_by_default() -> Result<()> { fn csv_unknown_columns_error_when_policy_is_error() -> Result<()> { let dir = tempdir()?; let path = dir.path().join("train.csv"); - write_file( - &path, - "question,answer,notes\nWhat is 2+2?,4,math\n", - )?; + write_file(&path, "question,answer,notes\nWhat is 2+2?,4,math\n")?; let err = DataLoader::load_csv::( path.to_str().unwrap(), @@ -314,10 +313,7 @@ fn json_mapper_overload_success() -> Result<()> { fn json_mapper_overload_error_includes_row_index() -> Result<()> { let dir = tempdir()?; let path = dir.path().join("train.json"); - write_file( - &path, - r#"[{"question":"What is 2+2?","answer":"4"}]"#, - )?; + write_file(&path, r#"[{"question":"What is 2+2?","answer":"4"}]"#)?; let err = DataLoader::load_json_with::( path.to_str().unwrap(), @@ -358,10 +354,7 @@ fn jsonl_typed_success() -> Result<()> { fn json_type_mismatch_errors() -> Result<()> { let dir = tempdir()?; let path = dir.path().join("bad.json"); - write_file( - &path, - r#"[{"value":"not-an-int","doubled":2}]"#, - )?; + write_file(&path, r#"[{"value":"not-an-int","doubled":2}]"#)?; let err = DataLoader::load_json::( path.to_str().unwrap(), @@ -405,10 +398,8 @@ fn parquet_typed_success_path() -> Result<()> { &["4", "Paris"], )?; - let examples = DataLoader::load_parquet::( - path.to_str().unwrap(), - TypedLoadOptions::default(), - )?; + let examples = + DataLoader::load_parquet::(path.to_str().unwrap(), TypedLoadOptions::default())?; assert_eq!(examples.len(), 2); assert_eq!(examples[1].output.answer, "Paris"); @@ -504,10 +495,7 @@ fn parquet_numeric_round_trip_for_typed_conversion() -> Result<()> { async fn typed_loader_outputs_feed_evaluator_and_optimizer_paths() -> Result<()> { let dir = tempdir()?; let path = dir.path().join("train.csv"); - write_file( - &path, - "question,answer\none,one\ntwo,two\n", - )?; + write_file(&path, "question,answer\none,one\ntwo,two\n")?; let trainset = DataLoader::load_csv::( path.to_str().unwrap(), diff --git a/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs b/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs index ca7c392d..f6ab2a63 100644 --- a/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs +++ b/crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs @@ -1,5 +1,4 @@ use anyhow::Result; -use facet; use dspy_rs::{ CallMetadata, Example, FeedbackMetric, GEPA, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, @@ -186,7 +185,9 @@ fn valset_for_gepa() -> Vec> { async fn gepa_compile_succeeds_when_feedback_present() { let metric = FeedbackMetricImpl; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = GEPA::builder() @@ -208,35 +209,34 @@ async fn gepa_compile_succeeds_when_feedback_present() { async fn gepa_compile_fails_without_feedback() { let metric = ScoreOnlyMetric; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; - let optimizer = GEPA::builder() - .num_iterations(1) - .minibatch_size(2) - .build(); + let optimizer = GEPA::builder().num_iterations(1).minibatch_size(2).build(); let err = optimizer .compile::(&mut module, trainset(), &metric) .await .expect_err("GEPA should reject score-only metrics"); - assert!(err - .to_string() - .contains("GEPA requires feedback for every evaluated example")); + assert!( + err.to_string() + .contains("GEPA requires feedback for every evaluated example") + ); } #[tokio::test] async fn gepa_compile_fails_when_feedback_is_partial() { let metric = PartialFeedbackMetric; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; - let optimizer = GEPA::builder() - .num_iterations(1) - .minibatch_size(2) - .build(); + let optimizer = GEPA::builder().num_iterations(1).minibatch_size(2).build(); let err = optimizer .compile::(&mut module, trainset(), &metric) @@ -256,7 +256,9 @@ async fn gepa_compile_fails_when_feedback_disappears_during_generation() { // call 4+: child eval in generation 1 should fail GEPA feedback gate. let metric = FeedbackThenScoreMetric::new(4); let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = GEPA::builder() @@ -272,7 +274,10 @@ async fn gepa_compile_fails_when_feedback_disappears_during_generation() { let message = err.to_string(); assert!(message.contains("GEPA requires feedback for every evaluated example")); - assert!(message.contains("generation=1"), "expected generation marker: {message}"); + assert!( + message.contains("generation=1"), + "expected generation marker: {message}" + ); } #[tokio::test] @@ -282,7 +287,9 @@ async fn gepa_compile_with_valset_uses_valset_and_tracks_best_outputs_when_enabl seen_prompts: Arc::clone(&seen_prompts), }; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let valset = valset_for_gepa(); @@ -307,7 +314,10 @@ async fn gepa_compile_with_valset_uses_valset_and_tracks_best_outputs_when_enabl .expect("metric lock should not be poisoned") .clone(); assert_eq!(seen, vec!["val-only".to_string()]); - assert_eq!(result.highest_score_achieved_per_val_task.len(), valset.len()); + assert_eq!( + result.highest_score_achieved_per_val_task.len(), + valset.len() + ); assert!( result.highest_score_achieved_per_val_task[0] >= 100.0, "valset-only scoring should dominate, got {:?}", @@ -330,7 +340,9 @@ async fn gepa_compile_with_valset_uses_valset_and_tracks_best_outputs_when_enabl async fn gepa_compile_respects_max_lm_calls_budget() { let metric = FeedbackMetricImpl; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = GEPA::builder() @@ -355,7 +367,9 @@ async fn gepa_compile_respects_max_lm_calls_budget() { async fn gepa_compile_respects_max_rollouts_budget() { let metric = FeedbackMetricImpl; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = GEPA::builder() @@ -375,3 +389,35 @@ async fn gepa_compile_respects_max_rollouts_budget() { result.total_rollouts ); } + +#[tokio::test] +async fn gepa_track_best_outputs_respects_lm_call_budget() { + let metric = FeedbackMetricImpl; + let mut module = InstructionEchoModule { + predictor: Predict::::builder() + .instruction("seed") + .build(), + }; + + let optimizer = GEPA::builder() + .num_iterations(0) + .minibatch_size(2) + .track_best_outputs(true) + .max_lm_calls(2) + .build(); + + let result = optimizer + .compile::(&mut module, trainset(), &metric) + .await + .expect("GEPA compile should respect LM call budget when tracking outputs"); + + assert!( + result.total_lm_calls <= 2, + "LM call budget should be enforced, got {}", + result.total_lm_calls + ); + assert!( + result.best_outputs_valset.is_none(), + "best outputs should be skipped when budget does not allow extra eval calls" + ); +} diff --git a/crates/dspy-rs/tests/test_input_format.rs b/crates/dspy-rs/tests/test_input_format.rs index 0f9a9558..c26d696c 100644 --- a/crates/dspy-rs/tests/test_input_format.rs +++ b/crates/dspy-rs/tests/test_input_format.rs @@ -67,9 +67,19 @@ fn extract_field(message: &str, field_name: &str) -> String { .find(&start_marker) .unwrap_or_else(|| panic!("missing marker: {field_name}")); let after_marker = start_pos + start_marker.len(); - let remaining = &message[after_marker..]; - let end_pos = remaining.find("[[ ##").unwrap_or(remaining.len()); - remaining[..end_pos].trim().to_string() + let remaining = message[after_marker..].trim_start_matches('\n'); + + let mut lines = Vec::new(); + for line in remaining.lines() { + if line.starts_with("[[ ## ") + || line.starts_with("Respond with the corresponding output fields") + { + break; + } + lines.push(line); + } + + lines.join("\n").trim().to_string() } fn extract_baml_field<'a>(value: &'a BamlValue, field_name: &str) -> &'a BamlValue { @@ -180,3 +190,19 @@ fn typed_input_default_non_string_is_json() { .expect("expected array with object"); assert_eq!(first.get("text").and_then(|v| v.as_str()), Some("Hello")); } + +#[test] +fn typed_input_appends_response_instruction_reminder() { + let adapter = ChatAdapter; + let input = DefaultFormatSigInput { + question: "Reminder check".to_string(), + context: vec![Document { + text: "Hello".to_string(), + }], + }; + + let message = adapter.format_user_message_typed::(&input); + assert!(message.contains("Respond with the corresponding output fields")); + assert!(message.contains("[[ ## answer ## ]]")); + assert!(message.contains("[[ ## completed ## ]]")); +} diff --git a/crates/dspy-rs/tests/test_miprov2.rs b/crates/dspy-rs/tests/test_miprov2.rs index 26ed2282..79a5435b 100644 --- a/crates/dspy-rs/tests/test_miprov2.rs +++ b/crates/dspy-rs/tests/test_miprov2.rs @@ -33,8 +33,11 @@ fn test_trace_formatting() { #[rstest] fn test_trace_formatting_without_score() { - let trace = - Trace::::new(input("input"), BamlValue::String("result".to_string()), None); + let trace = Trace::::new( + input("input"), + BamlValue::String("result".to_string()), + None, + ); let formatted = trace.format_for_prompt(); assert!(formatted.contains("Input:")); diff --git a/crates/dspy-rs/tests/test_module_ext.rs b/crates/dspy-rs/tests/test_module_ext.rs index 263e7e4f..c7bb1c16 100644 --- a/crates/dspy-rs/tests/test_module_ext.rs +++ b/crates/dspy-rs/tests/test_module_ext.rs @@ -49,6 +49,27 @@ impl Module for MaybeFails { } } +#[expect( + clippy::result_large_err, + reason = "Tests ModuleExt::and_then using the crate's public PredictError type." +)] +fn transform_int_payload(value: IntPayload) -> Result { + if value.value >= 4 { + Ok(TextPayload { + value: value.value.to_string(), + }) + } else { + Err(PredictError::Parse { + source: ParseError::MissingField { + field: "transformed".to_string(), + raw_response: "transform".to_string(), + }, + raw_response: "transform".to_string(), + lm_usage: dspy_rs::LmUsage::default(), + }) + } +} + #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] #[tokio::test] async fn map_transforms_success_and_preserves_metadata() { @@ -85,22 +106,8 @@ async fn map_transforms_success_and_preserves_metadata() { #[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] #[tokio::test] async fn and_then_applies_fallible_transform_and_keeps_metadata() { - let module = MaybeFails.and_then(|value| { - if value.value >= 4 { - Ok(TextPayload { - value: value.value.to_string(), - }) - } else { - Err(PredictError::Parse { - source: ParseError::MissingField { - field: "transformed".to_string(), - raw_response: "transform".to_string(), - }, - raw_response: "transform".to_string(), - lm_usage: dspy_rs::LmUsage::default(), - }) - } - }); + let module = MaybeFails + .and_then(transform_int_payload as fn(IntPayload) -> Result); let success = module.call(IntPayload { value: 3 }).await.unwrap(); assert_eq!(success.metadata().raw_response, "raw:3"); diff --git a/crates/dspy-rs/tests/test_module_facet_shapes.rs b/crates/dspy-rs/tests/test_module_facet_shapes.rs index c061b4ba..9aaa8d07 100644 --- a/crates/dspy-rs/tests/test_module_facet_shapes.rs +++ b/crates/dspy-rs/tests/test_module_facet_shapes.rs @@ -45,6 +45,10 @@ fn drop_reasoning(output: dspy_rs::WithReasoning) -> QAOutput { output.inner } +#[expect( + clippy::result_large_err, + reason = "Test verifies ModuleExt::and_then shape with the crate's public PredictError." +)] fn drop_reasoning_checked( output: dspy_rs::WithReasoning, ) -> Result { @@ -96,7 +100,8 @@ fn map_shape_exposes_inner_chain_of_thought_shape() { #[test] fn and_then_shape_exposes_inner_chain_of_thought_shape() { let chained = ChainOfThought::::new().and_then( - drop_reasoning_checked as fn(dspy_rs::WithReasoning) -> Result, + drop_reasoning_checked + as fn(dspy_rs::WithReasoning) -> Result, ); let and_then_shape = shape_of(&chained); let inner = find_field(and_then_shape, "inner"); diff --git a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs index 8b5605df..8d4abdcd 100644 --- a/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs +++ b/crates/dspy-rs/tests/test_optimizer_named_parameters_integration.rs @@ -1,5 +1,4 @@ use anyhow::Result; -use facet; use dspy_rs::{ COPRO, CallMetadata, Example, MetricOutcome, Module, Optimizer, Predict, PredictError, Predicted, Signature, TypedMetric, @@ -74,7 +73,9 @@ fn trainset() -> Vec> { #[tokio::test] async fn optimizer_compile_succeeds_without_public_named_parameter_access() { let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = COPRO::builder().breadth(4).depth(1).build(); diff --git a/crates/dspy-rs/tests/test_optimizer_typed_metric.rs b/crates/dspy-rs/tests/test_optimizer_typed_metric.rs index 456d579d..c05a590d 100644 --- a/crates/dspy-rs/tests/test_optimizer_typed_metric.rs +++ b/crates/dspy-rs/tests/test_optimizer_typed_metric.rs @@ -1,8 +1,7 @@ use anyhow::{Result, anyhow}; -use facet; use dspy_rs::{ - COPRO, CallMetadata, Example, MIPROv2, MetricOutcome, Module, Optimizer, Predict, - PredictError, Predicted, Signature, TypedMetric, + COPRO, CallMetadata, Example, MIPROv2, MetricOutcome, Module, Optimizer, Predict, PredictError, + Predicted, Signature, TypedMetric, }; use std::collections::HashSet; use std::sync::{Arc, Mutex}; @@ -101,7 +100,9 @@ async fn copro_compile_uses_typed_metric_predictions() { }; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = COPRO::builder().breadth(3).depth(1).build(); @@ -128,7 +129,9 @@ async fn mipro_compile_uses_typed_metric_predictions() { }; let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = MIPROv2::builder() @@ -155,7 +158,9 @@ async fn mipro_compile_uses_typed_metric_predictions() { #[tokio::test] async fn copro_compile_propagates_metric_errors() { let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = COPRO::builder().breadth(3).depth(1).build(); @@ -170,7 +175,9 @@ async fn copro_compile_propagates_metric_errors() { #[tokio::test] async fn mipro_compile_propagates_metric_errors() { let mut module = InstructionEchoModule { - predictor: Predict::::builder().instruction("seed").build(), + predictor: Predict::::builder() + .instruction("seed") + .build(), }; let optimizer = MIPROv2::builder() .num_candidates(4) diff --git a/crates/dspy-rs/tests/test_public_api_compile_fail.rs b/crates/dspy-rs/tests/test_public_api_compile_fail.rs index 5096a73a..83c387bc 100644 --- a/crates/dspy-rs/tests/test_public_api_compile_fail.rs +++ b/crates/dspy-rs/tests/test_public_api_compile_fail.rs @@ -32,6 +32,13 @@ fn run_compile_fail_case(name: &str, source: &str) -> String { String::from_utf8_lossy(&output.stderr).into_owned() } +fn assert_not_masked_by_e0401(stderr: &str) { + assert!( + !stderr.contains("E0401"), + "expected failure in the external consumer crate, but got internal E0401 masking:\n{stderr}" + ); +} + #[test] fn dyn_predictor_is_not_publicly_importable() { let stderr = run_compile_fail_case( @@ -45,6 +52,7 @@ fn main() { "#, ); + assert_not_masked_by_e0401(&stderr); assert!( stderr.contains("DynPredictor") && (stderr.contains("private") || stderr.contains("no `DynPredictor` in the root")), @@ -65,6 +73,7 @@ fn main() { "#, ); + assert_not_masked_by_e0401(&stderr); assert!( stderr.contains("named_parameters") && (stderr.contains("private") || stderr.contains("no `named_parameters` in the root")), @@ -117,6 +126,7 @@ fn main() { "#, ); + assert_not_masked_by_e0401(&stderr); assert!( stderr.contains("Module") || stderr.contains("type mismatch") diff --git a/crates/dspy-rs/tests/test_react_builder.rs b/crates/dspy-rs/tests/test_react_builder.rs index 44c243bd..12ef96f7 100644 --- a/crates/dspy-rs/tests/test_react_builder.rs +++ b/crates/dspy-rs/tests/test_react_builder.rs @@ -1,9 +1,7 @@ use std::sync::LazyLock; use std::sync::atomic::{AtomicUsize, Ordering}; -use dspy_rs::{ - ChatAdapter, LM, LMClient, Module, ReAct, Signature, TestCompletionModel, configure, -}; +use dspy_rs::{ChatAdapter, LM, LMClient, ReAct, Signature, TestCompletionModel, configure}; use rig::completion::AssistantContent; use rig::message::Text; use serde_json::Value; @@ -171,3 +169,59 @@ async fn react_builder_executes_multi_tool_calculator_loop_and_extracts_output() let result: QAOutput = result; assert_eq!(result.answer, "66"); } + +#[cfg_attr(miri, ignore = "MIRI has issues with tokio's I/O driver")] +#[tokio::test] +async fn react_unknown_tool_name_does_not_execute_first_tool() { + let _lock = SETTINGS_LOCK.lock().await; + + let action_1 = response_with_fields(&[ + ("thought", "Try a missing tool"), + ("action", "missing_tool"), + ("action_input", "{\"a\":1,\"b\":2}"), + ]); + let action_2 = response_with_fields(&[ + ("thought", "Stop after observing failure"), + ("action", "finish"), + ("action_input", "done"), + ]); + let extract = response_with_fields(&[("output", "{\"answer\":\"done\"}")]); + configure_test_lm(vec![action_1, action_2, extract]).await; + + let add_calls = std::sync::Arc::new(AtomicUsize::new(0)); + let add_calls_for_tool = add_calls.clone(); + + let react = ReAct::::builder() + .max_steps(3) + .tool("add", "Adds two integers {a,b}", move |args| { + let add_calls = add_calls_for_tool.clone(); + async move { + add_calls.fetch_add(1, Ordering::SeqCst); + let (a, b) = parse_calculator_args(&args); + (a + b).to_string() + } + }) + .build(); + + let predicted = react + .call(QAInput { + question: "Call a tool that does not exist.".to_string(), + }) + .await + .expect("react call should succeed"); + let (_, metadata) = predicted.into_parts(); + + assert_eq!( + add_calls.load(Ordering::SeqCst), + 0, + "unknown tool actions should not run arbitrary registered tools" + ); + assert!( + metadata + .tool_executions + .iter() + .any(|entry| entry.contains("tool_not_found: missing_tool")), + "trajectory should record missing-tool observation; got {:?}", + metadata.tool_executions + ); +} diff --git a/crates/dspy-rs/tests/test_typed_prompt_format.rs b/crates/dspy-rs/tests/test_typed_prompt_format.rs index 78307676..c8e9f7dd 100644 --- a/crates/dspy-rs/tests/test_typed_prompt_format.rs +++ b/crates/dspy-rs/tests/test_typed_prompt_format.rs @@ -1,3 +1,8 @@ +#![allow( + clippy::too_many_arguments, + reason = "Signature derive emits multi-field constructors for schema coverage tests." +)] + use dspy_rs::{BamlType, ChatAdapter, Signature}; #[derive(Clone, Debug)] diff --git a/crates/dspy-rs/tests/test_with_reasoning_deref.rs b/crates/dspy-rs/tests/test_with_reasoning_deref.rs index 2d720137..7cc03493 100644 --- a/crates/dspy-rs/tests/test_with_reasoning_deref.rs +++ b/crates/dspy-rs/tests/test_with_reasoning_deref.rs @@ -1,6 +1,10 @@ use dspy_rs::{Signature, WithReasoning}; #[derive(Signature, Clone, Debug, PartialEq)] +#[expect( + dead_code, + reason = "Signature type drives generated QAOutput used in deref assertions." +)] struct QA { #[input] question: String, diff --git a/crates/dsrs-macros/src/lib.rs b/crates/dsrs-macros/src/lib.rs index 754a3b9e..2afcf055 100644 --- a/crates/dsrs-macros/src/lib.rs +++ b/crates/dsrs-macros/src/lib.rs @@ -273,6 +273,8 @@ fn parse_single_field(field: &syn::Field) -> syn::Result { )); } + validate_signature_field_type(field)?; + let doc_comment = collect_doc_comment(&field.attrs); let description = desc_override.unwrap_or(doc_comment); @@ -359,14 +361,60 @@ fn parse_constraint_attr( fn normalize_constraint_expression(expression: &mut String) { // Accept common Rust-style logical operators in docs/examples and normalize // to the Jinja expression syntax expected by downstream evaluation. - let normalized = expression - .replace(" && ", " and ") - .replace(" || ", " or ") - .replace("&&", " and ") - .replace("||", " or "); + let segments = split_constraint_segments(expression); + let normalized: String = segments + .into_iter() + .map(|(segment, is_literal)| { + if is_literal { + segment + } else { + segment + .replace(" && ", " and ") + .replace(" || ", " or ") + .replace("&&", " and ") + .replace("||", " or ") + } + }) + .collect(); *expression = normalized; } +fn split_constraint_segments(expression: &str) -> Vec<(String, bool)> { + let mut segments = Vec::new(); + let mut buf = String::new(); + let mut in_literal = false; + let mut prev_escape = false; + + for ch in expression.chars() { + if ch == '"' && !prev_escape { + if in_literal { + buf.push(ch); + segments.push((buf.clone(), true)); + buf.clear(); + in_literal = false; + } else { + if !buf.is_empty() { + segments.push((buf.clone(), false)); + buf.clear(); + } + in_literal = true; + buf.push(ch); + } + prev_escape = false; + continue; + } + + buf.push(ch); + prev_escape = ch == '\\' && !prev_escape; + } + + if !buf.is_empty() { + segments.push((buf, in_literal)); + } + + segments +} + fn collect_doc_comment(attrs: &[Attribute]) -> String { let mut docs = Vec::new(); for attr in attrs { @@ -397,6 +445,158 @@ fn parse_string_expr(expr: &Expr, span: proc_macro2::Span) -> syn::Result syn::Result<()> { + if let Some(ty) = find_type_match(&field.ty, &|ty| matches!(ty, syn::Type::BareFn(_))) { + return Err(syn::Error::new_spanned( + ty, + "function types are not supported in Signature fields; hint: use a concrete type", + )); + } + + if let Some(ty) = find_type_match(&field.ty, &|ty| matches!(ty, syn::Type::TraitObject(_))) { + return Err(syn::Error::new_spanned( + ty, + "trait objects are not supported in Signature fields; hint: use a concrete type", + )); + } + + if let Some(ty) = find_type_match(&field.ty, &|ty| matches!(ty, syn::Type::Tuple(_))) { + return Err(syn::Error::new_spanned( + ty, + "tuple types are not supported in Signature fields; hint: use a struct with named fields or a list", + )); + } + + if let Some(ty) = find_type_match(&field.ty, &is_serde_json_value_type) { + return Err(syn::Error::new_spanned( + ty, + "serde_json::Value is not supported in Signature fields; hint: use a concrete typed value", + )); + } + + if let Some(ty) = find_type_match(&field.ty, &has_non_string_map_key) { + return Err(syn::Error::new_spanned( + ty, + "map keys must be String in Signature fields; hint: use HashMap or BTreeMap", + )); + } + + if let Some(ty) = find_type_match(&field.ty, &is_unsupported_signature_int_type) { + return Err(syn::Error::new_spanned( + ty, + "unsupported integer width in Signature fields; hint: use i64/isize/u32 or a smaller integer type", + )); + } + + Ok(()) +} + +fn find_type_match<'a, F>(ty: &'a syn::Type, predicate: &F) -> Option<&'a syn::Type> +where + F: Fn(&syn::Type) -> bool, +{ + if predicate(ty) { + return Some(ty); + } + + match ty { + syn::Type::Array(array) => find_type_match(&array.elem, predicate), + syn::Type::Group(group) => find_type_match(&group.elem, predicate), + syn::Type::Paren(paren) => find_type_match(&paren.elem, predicate), + syn::Type::Ptr(ptr) => find_type_match(&ptr.elem, predicate), + syn::Type::Reference(reference) => find_type_match(&reference.elem, predicate), + syn::Type::Slice(slice) => find_type_match(&slice.elem, predicate), + syn::Type::Tuple(tuple) => { + for elem in &tuple.elems { + if let Some(found) = find_type_match(elem, predicate) { + return Some(found); + } + } + None + } + syn::Type::Path(path) => { + for segment in &path.path.segments { + if let syn::PathArguments::AngleBracketed(args) = &segment.arguments { + for arg in &args.args { + if let syn::GenericArgument::Type(inner) = arg + && let Some(found) = find_type_match(inner, predicate) + { + return Some(found); + } + } + } + } + None + } + _ => None, + } +} + +fn type_ident(ty: &syn::Type) -> Option<&syn::Ident> { + match ty { + syn::Type::Path(path) if path.qself.is_none() => { + path.path.segments.last().map(|s| &s.ident) + } + _ => None, + } +} + +fn map_types(ty: &syn::Type) -> Option<(&syn::Type, &syn::Type)> { + if let syn::Type::Path(path) = ty + && let Some(segment) = path.path.segments.last() + && (segment.ident == "HashMap" || segment.ident == "BTreeMap") + && let syn::PathArguments::AngleBracketed(args) = &segment.arguments + { + let mut iter = args.args.iter(); + let key = match iter.next() { + Some(syn::GenericArgument::Type(t)) => t, + _ => return None, + }; + let value = match iter.next() { + Some(syn::GenericArgument::Type(t)) => t, + _ => return None, + }; + return Some((key, value)); + } + + None +} + +fn is_string_type(ty: &syn::Type) -> bool { + type_ident(ty) + .map(|ident| ident == "String") + .unwrap_or(false) +} + +fn has_non_string_map_key(ty: &syn::Type) -> bool { + map_types(ty) + .map(|(key, _)| !is_string_type(key)) + .unwrap_or(false) +} + +fn is_unsupported_signature_int_type(ty: &syn::Type) -> bool { + match type_ident(ty).map(|ident| ident.to_string()) { + Some(name) => matches!(name.as_str(), "u64" | "usize" | "i128" | "u128"), + None => false, + } +} + +fn is_serde_json_value_type(ty: &syn::Type) -> bool { + if let syn::Type::Path(path) = ty + && let Some(segment) = path.path.segments.last() + && segment.ident == "Value" + { + return path + .path + .segments + .iter() + .any(|seg| seg.ident == "serde_json"); + } + + false +} + fn generate_signature_code( input: &DeriveInput, parsed: &ParsedSignature, @@ -801,10 +1001,19 @@ fn generate_baml_delegation( for field in &parsed.all_fields { let field_name = field.ident.to_string(); let ident = &field.ident; + let ty = &field.ty; to_value_inserts.push(quote! { fields.insert( #field_name.to_string(), - #runtime::__macro_support::bamltype::to_baml_value(&self.#ident).unwrap_or(#runtime::BamlValue::Null), + #runtime::__macro_support::bamltype::to_baml_value(&self.#ident).unwrap_or_else(|err| { + panic!( + "Signature derive failed to convert field `{}` on `{}` (type `{}`) to BamlValue: {:?}", + #field_name, + stringify!(#name), + ::std::any::type_name::<#ty>(), + err, + ) + }), ); }); } diff --git a/crates/dsrs-macros/tests/signature_derive.rs b/crates/dsrs-macros/tests/signature_derive.rs index 607495a4..9368db1f 100644 --- a/crates/dsrs-macros/tests/signature_derive.rs +++ b/crates/dsrs-macros/tests/signature_derive.rs @@ -23,6 +23,19 @@ struct NormalizedConstraintSig { score: f64, } +#[derive(dsrs_macros::Signature, Clone, Debug)] +struct LiteralConstraintSig { + #[input] + question: String, + + #[output] + #[check( + "this == \"value||value\" && this != \"foo&&bar\"", + label = "literal_ops" + )] + answer: String, +} + #[derive(Clone, Debug)] #[BamlType] struct GenericCtx { @@ -77,6 +90,17 @@ fn constraint_operator_normalization_is_preserved() { ); } +#[test] +fn literal_constraint_operators_are_preserved() { + let output_metadata = ::output_field_metadata(); + assert_eq!(output_metadata.len(), 1); + let expr = &output_metadata[0].constraints[0].expression; + assert_eq!( + expr, + &"this == \"value||value\" and this != \"foo&&bar\"".to_string() + ); +} + #[test] fn derives_generic_helpers_and_flatten_paths() { let _typed_input = GenericFlattenSigInput:: { diff --git a/crates/dsrs-macros/tests/ui/signature_function_type.rs b/crates/dsrs-macros/tests/ui/signature_function_type.rs new file mode 100644 index 00000000..9a365ee2 --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_function_type.rs @@ -0,0 +1,12 @@ +use dsrs_macros::Signature; + +#[derive(Signature)] +struct SignatureFunctionType { + #[input] + callback: fn(i32) -> i32, + + #[output] + answer: String, +} + +fn main() {} diff --git a/crates/dsrs-macros/tests/ui/signature_function_type.stderr b/crates/dsrs-macros/tests/ui/signature_function_type.stderr new file mode 100644 index 00000000..69cea7cc --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_function_type.stderr @@ -0,0 +1,5 @@ +error: function types are not supported in Signature fields; hint: use a concrete type + --> tests/ui/signature_function_type.rs:6:15 + | +6 | callback: fn(i32) -> i32, + | ^^^^^^^^^^^^^^ diff --git a/crates/dsrs-macros/tests/ui/signature_large_int.rs b/crates/dsrs-macros/tests/ui/signature_large_int.rs new file mode 100644 index 00000000..73f106d8 --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_large_int.rs @@ -0,0 +1,12 @@ +use dsrs_macros::Signature; + +#[derive(Signature)] +struct SignatureLargeInt { + #[input] + id: u64, + + #[output] + answer: String, +} + +fn main() {} diff --git a/crates/dsrs-macros/tests/ui/signature_large_int.stderr b/crates/dsrs-macros/tests/ui/signature_large_int.stderr new file mode 100644 index 00000000..f15be11d --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_large_int.stderr @@ -0,0 +1,5 @@ +error: unsupported integer width in Signature fields; hint: use i64/isize/u32 or a smaller integer type + --> tests/ui/signature_large_int.rs:6:9 + | +6 | id: u64, + | ^^^ diff --git a/crates/dsrs-macros/tests/ui/signature_non_string_map_key.rs b/crates/dsrs-macros/tests/ui/signature_non_string_map_key.rs new file mode 100644 index 00000000..82180b5b --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_non_string_map_key.rs @@ -0,0 +1,13 @@ +use dsrs_macros::Signature; +type HashMap = std::collections::HashMap; + +#[derive(Signature)] +struct SignatureNonStringMapKey { + #[input] + values: HashMap, + + #[output] + answer: String, +} + +fn main() {} diff --git a/crates/dsrs-macros/tests/ui/signature_non_string_map_key.stderr b/crates/dsrs-macros/tests/ui/signature_non_string_map_key.stderr new file mode 100644 index 00000000..5d89adcd --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_non_string_map_key.stderr @@ -0,0 +1,5 @@ +error: map keys must be String in Signature fields; hint: use HashMap or BTreeMap + --> tests/ui/signature_non_string_map_key.rs:7:13 + | +7 | values: HashMap, + | ^^^^^^^^^^^^^^^^^^^^ diff --git a/crates/dsrs-macros/tests/ui/signature_serde_json_value.rs b/crates/dsrs-macros/tests/ui/signature_serde_json_value.rs new file mode 100644 index 00000000..40759e8b --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_serde_json_value.rs @@ -0,0 +1,12 @@ +use dsrs_macros::Signature; + +#[derive(Signature)] +struct SignatureSerdeJsonValue { + #[input] + payload: serde_json::Value, + + #[output] + answer: String, +} + +fn main() {} diff --git a/crates/dsrs-macros/tests/ui/signature_serde_json_value.stderr b/crates/dsrs-macros/tests/ui/signature_serde_json_value.stderr new file mode 100644 index 00000000..fa1e7de6 --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_serde_json_value.stderr @@ -0,0 +1,5 @@ +error: serde_json::Value is not supported in Signature fields; hint: use a concrete typed value + --> tests/ui/signature_serde_json_value.rs:6:14 + | +6 | payload: serde_json::Value, + | ^^^^^^^^^^^^^^^^^ diff --git a/crates/dsrs-macros/tests/ui/signature_trait_object.rs b/crates/dsrs-macros/tests/ui/signature_trait_object.rs new file mode 100644 index 00000000..a3bffa90 --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_trait_object.rs @@ -0,0 +1,12 @@ +use dsrs_macros::Signature; + +#[derive(Signature)] +struct SignatureTraitObject { + #[input] + value: Box, + + #[output] + answer: String, +} + +fn main() {} diff --git a/crates/dsrs-macros/tests/ui/signature_trait_object.stderr b/crates/dsrs-macros/tests/ui/signature_trait_object.stderr new file mode 100644 index 00000000..f2a6d909 --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_trait_object.stderr @@ -0,0 +1,5 @@ +error: trait objects are not supported in Signature fields; hint: use a concrete type + --> tests/ui/signature_trait_object.rs:6:16 + | +6 | value: Box, + | ^^^^^^^^^^^^^^^^^^^ diff --git a/crates/dsrs-macros/tests/ui/signature_tuple_type.rs b/crates/dsrs-macros/tests/ui/signature_tuple_type.rs new file mode 100644 index 00000000..4491457b --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_tuple_type.rs @@ -0,0 +1,12 @@ +use dsrs_macros::Signature; + +#[derive(Signature)] +struct SignatureTupleType { + #[input] + pair: (i32, i32), + + #[output] + answer: String, +} + +fn main() {} diff --git a/crates/dsrs-macros/tests/ui/signature_tuple_type.stderr b/crates/dsrs-macros/tests/ui/signature_tuple_type.stderr new file mode 100644 index 00000000..849cc3b2 --- /dev/null +++ b/crates/dsrs-macros/tests/ui/signature_tuple_type.stderr @@ -0,0 +1,5 @@ +error: tuple types are not supported in Signature fields; hint: use a struct with named fields or a list + --> tests/ui/signature_tuple_type.rs:6:11 + | +6 | pair: (i32, i32), + | ^^^^^^^^^^ diff --git a/docs/docs/building-blocks/constraints.mdx b/docs/docs/building-blocks/constraints.mdx index 8b51bbb6..d173ee58 100644 --- a/docs/docs/building-blocks/constraints.mdx +++ b/docs/docs/building-blocks/constraints.mdx @@ -90,28 +90,25 @@ this[0] == "first" # first item equals "first" ## Inspecting Check Results -Use `call_with_meta()` to access constraint results: +`Predicted` carries per-field metadata including constraint results. Access it via `.metadata()`: ```rust let predict = Predict::::new(); -let result = predict.call_with_meta(QAInput { +let result = predict.call(QAInput { question: "What is the capital of France?".into(), }).await?; -// Output is available even if checks failed -println!("Answer: {}", result.output.answer); +// Output fields are available directly via Deref +println!("Answer: {}", result.answer); -// See what passed/failed -for check in result.field_checks("confidence") { - if !check.passed { - println!("Check '{}' failed", check.label); +// Inspect per-field constraint results via metadata +if let Some(field_meta) = result.metadata().field_meta.get("confidence") { + for check in &field_meta.checks { + if !check.passed { + println!("Check '{}' failed", check.label); + } } } - -// Quick check if anything failed -if result.has_failed_checks() { - // maybe retry, log, or handle differently -} ``` ## Handling Assert Failures @@ -119,9 +116,9 @@ if result.has_failed_checks() { When an assert fails, you get a `PredictError`: ```rust -match predict.call_with_meta(input).await { +match predict.call(input).await { Ok(result) => { - println!("{}", result.output.answer); + println!("{}", result.answer); } Err(PredictError::Parse { source, .. }) => { // The LM returned something that violated an assertion diff --git a/docs/docs/building-blocks/lm.mdx b/docs/docs/building-blocks/lm.mdx index 699ff29b..02d83f57 100644 --- a/docs/docs/building-blocks/lm.mdx +++ b/docs/docs/building-blocks/lm.mdx @@ -107,7 +107,7 @@ You can browse the full `LM` module reference on [docs.rs](https://docs.rs/dspy- ## Global vs explicit usage - **Global:** `configure(lm, ChatAdapter)` sets the process-wide default used by predictors. -- **Explicit:** Wrap the model in an `Arc` when you want to override the global instance: `let shared = Arc::new(lm); predictor.forward_with_config(inputs, Arc::clone(&shared)).await`. +- **Per-call override:** Build a second `LM` and call `configure(lm, ChatAdapter)` before the specific call, or restructure into separate modules with different configurations. ## Async execution and sync entry @@ -176,7 +176,7 @@ All `LM` builder parameters have sensible defaults, so you only need to override | `base_url` | `Option`| `None` | Custom endpoint URL; auto-detected from model provider if not provided | | `temperature`| `f32` | `0.7` | Higher values increase randomness | | `max_tokens` | `u32` | `512` | Upper bound on completion tokens | -| `cache` | `bool` | `true` | Enables response caching and `inspect_history` support | +| `cache` | `bool` | `false` | Enables response caching and `inspect_history` support | ### Example with custom settings diff --git a/docs/docs/building-blocks/module.mdx b/docs/docs/building-blocks/module.mdx index 31bdefe4..9cd2d59e 100644 --- a/docs/docs/building-blocks/module.mdx +++ b/docs/docs/building-blocks/module.mdx @@ -1,117 +1,267 @@ --- title: 'Modules' -description: 'Compose predictors into multi-step pipelines' +description: 'Compose prompting strategies over any signature' icon: 'circle-nodes' --- -Most of the time, you can chain [predictors](/docs/building-blocks/predictors) directly using the typed API. For more complex composition or optimizer integration, you can implement the `Module` trait. +A module wraps one or more predictors into a prompting strategy. `ChainOfThought` makes the LM reason before answering. You swap strategies by changing a type — everything else stays the same. -## Chaining predictors (the simple way) +## The idea -Just call one predictor, then use its output as input to the next: +A `Predict` calls the LM directly against your signature. A module adds behavior around that call — extra output fields, retry loops, tool use — without changing your signature definition. ```rust -#[derive(Signature, Clone, Debug)] -struct Summarize { - #[input] text: String, - #[output] summary: String, +// Direct call — LM produces answer immediately +let predict = Predict::::new(); +let result = predict.call(QAInput { question: "What is 2+2?".into() }).await?; +println!("{}", result.answer); + +// Chain of thought — LM reasons first, then answers +let cot = ChainOfThought::::new(); +let result = cot.call(QAInput { question: "What is 2+2?".into() }).await?; +println!("{}", result.reasoning); // added by the strategy +println!("{}", result.answer); // same field, same type +``` + +Both return your `answer` field. ChainOfThought adds `reasoning` on top. Your signature didn't change. The prompting strategy did. + +## How augmented output works + +ChainOfThought returns `WithReasoning`, not bare `QAOutput`. But you rarely write that type — inference handles it: + +```rust +let result = cot.call(input).await?; +result.reasoning // direct field on WithReasoning (String) +result.answer // accessed through Deref to QAOutput +``` + +Rust's `Deref` coercion makes the wrapper transparent. `result.answer` resolves automatically. Your IDE shows both `reasoning` and `answer` in autocomplete. + +When you do need to name the type (function signatures, struct fields): + +```rust +async fn answer_with_reasoning(q: &str) -> Result>, PredictError> { + let cot = ChainOfThought::::new(); + cot.call(QAInput { question: q.into() }).await } +``` + +`WithReasoning` reads as English: "QA output, with reasoning." + +## ChainOfThought + +Prepends a `reasoning` field to the output. The LM thinks step-by-step before producing your output fields. + +```rust +use dspy_rs::{ChainOfThought, Signature}; #[derive(Signature, Clone, Debug)] -struct Analyze { - #[input] summary: String, - #[output] sentiment: String, - #[output] key_points: Vec, +/// Solve math problems step by step. +struct Math { + #[input] problem: String, + #[output] answer: f64, } -// Chain them together -let summarizer = Predict::::new(); -let analyzer = Predict::::new(); - -let summary = summarizer.call(SummarizeInput { - text: long_document.into() +let cot = ChainOfThought::::new(); +let result = cot.call(MathInput { + problem: "What is 15% of 80?".into(), }).await?; -let analysis = analyzer.call(AnalyzeInput { - summary: summary.summary // output of first becomes input of second -}).await?; +println!("{}", result.reasoning); // "15% of 80 = 0.15 × 80 = 12" +println!("{}", result.answer); // 12.0 +``` + +### With instruction override + +```rust +let cot = ChainOfThought::::builder() + .instruction("Show all work. Be precise.") + .build(); +``` + +### With demos + +Demos for ChainOfThought include reasoning — they're `Example>`. The reasoning field shows the LM what good chain-of-thought looks like. -println!("Sentiment: {}", analysis.sentiment); +```rust +use dspy_rs::{Example, Augmented, Reasoning, WithReasoning}; + +let cot = ChainOfThought::::builder() + .demo(Example::>::new( + MathInput { problem: "What is 10% of 50?".into() }, + WithReasoning { + reasoning: "10% of 50 = 0.10 × 50 = 5".into(), + inner: MathOutput { answer: 5.0 }, + }, + )) + .build(); ``` -This is fully typed end-to-end. +`WithReasoning` has two fields: `reasoning: String` and `inner: O` (your output type). The `Deref` to `O` is just for ergonomic field access — when constructing, you build both parts explicitly. + +In practice you rarely write demos by hand. Optimizers generate them automatically. -## Wrapping in a struct +## Custom modules -For reusability, wrap predictors in a struct: +Define a struct, derive Facet, implement Module. ```rust -struct SummarizeAndAnalyze { - summarizer: Predict, - analyzer: Predict, +use dspy_rs::{Module, Predict, ChainOfThought, Predicted, PredictError, Signature}; + +#[derive(Signature, Clone, Debug)] +/// Retrieve relevant passages for a question. +struct Retrieve { + #[input] question: String, + #[output] passages: Vec, +} + +#[derive(Signature, Clone, Debug)] +/// Answer using the provided passages. +struct Answer { + #[input] question: String, + #[input] passages: Vec, + #[output] answer: String, +} + +#[derive(facet::Facet)] +#[facet(crate = facet)] +struct RAG { + retrieve: Predict, + answer: ChainOfThought, } -impl SummarizeAndAnalyze { +impl RAG { fn new() -> Self { - Self { - summarizer: Predict::::new(), - analyzer: Predict::::new(), + RAG { + retrieve: Predict::new(), + answer: ChainOfThought::new(), } } +} + +impl Module for RAG { + type Input = RetrieveInput; + type Output = WithReasoning; + + async fn forward( + &self, + input: RetrieveInput, + ) -> Result, PredictError> { + let question = input.question.clone(); + let r = self.retrieve.call(input).await?; - async fn run(&self, text: String) -> anyhow::Result { - let summary = self.summarizer.call(SummarizeInput { text }).await?; - let analysis = self.analyzer.call(AnalyzeInput { - summary: summary.summary - }).await?; - Ok(analysis) + self.answer.call(AnswerInput { + question, + passages: r.passages.clone(), + }).await } } ``` -## The Module trait +Usage: + +```rust +let rag = RAG::new(); +let result = rag.call(RetrieveInput { + question: "Who wrote Hamlet?".into(), +}).await?; + +println!("{}", result.reasoning); +println!("{}", result.answer); +``` -`Predict` implements `Module`, which is used by optimizers and batch processing: +`#[derive(facet::Facet)]` on the struct is what makes optimizer discovery work — the framework finds `retrieve` and `answer`'s inner predictor automatically without annotations. See [Optimization](/docs/optimizers) for details. + +### `call` vs `forward` + +`call` is the user-facing entry point. `forward` is the implementation hook you override. `call` currently delegates to `forward` — the split exists so hooks, tracing, and usage tracking can wrap `call` without breaking module implementations. ```rust -pub trait Module: Send + Sync { - async fn forward(&self, inputs: Example) -> Result; +// Users call: +module.call(input).await? - async fn batch( - &self, - inputs: Vec, - max_concurrency: usize, - display_progress: bool, - ) -> Result>; +// Module authors implement: +async fn forward(&self, input: Self::Input) -> Result, PredictError> { + // your logic here } ``` -The `batch` method runs `forward` concurrently with a progress bar. +## Output transforms without `impl Module` -If you need your custom struct to work with optimizers, implement `Module`. Otherwise, the simpler patterns above are usually enough. +For simple post-processing, use `.map()` instead of writing a full module: + +```rust +use dspy_rs::ModuleExt; + +let cot = ChainOfThought::::new(); + +let uppercase = cot.map(|output| { + // output is WithReasoning here + QAOutput { answer: output.answer.to_uppercase() } +}); + +let result = uppercase.call(input).await?; +println!("{}", result.answer); // "PARIS" +``` -## Current limitations +`.and_then()` for fallible transforms that return `Result`. - -**Runtime signature modification is not supported.** +Combinators preserve optimizer discovery — the framework sees through `.map()` and `.and_then()` to find the Predict leaves inside. -Unlike DSPy where you can do `ChainOfThought(signature)` to dynamically add a reasoning field, DSRs signatures are fixed at compile time. +## Batch calls -If you want chain-of-thought style reasoning, add the field explicitly: +Run a module over many inputs concurrently: ```rust -#[derive(Signature, Clone, Debug)] -struct QA { - #[input] - question: String, +let cot = ChainOfThought::::new(); + +let inputs: Vec = questions.iter() + .map(|q| QAInput { question: q.clone() }) + .collect(); + +let results = dspy_rs::forward_all(&cot, inputs, 10).await; +// Vec>, PredictError>> +``` + +The third argument is max concurrency. Each result is independent — one failure doesn't stop the others. Shows a progress bar on stderr. + +## Swapping strategies + +Modules are interchangeable when they share the same input type. Change a type annotation, the compiler tells you what else to update: + +```rust +struct Pipeline { + // Change this line to swap strategy: + answer: ChainOfThought, + // answer: Predict, // direct — output is QAOutput +} +``` + +Changing the strategy may change the output type — `Predict` returns `QAOutput`, `ChainOfThought` returns `WithReasoning`. The compiler catches every downstream breakage. No runtime surprises. - #[output] - reasoning: String, // add explicitly +For generic pipelines that accept any strategy: - #[output] - answer: String, +```rust +struct Pipeline> { + retrieve: Predict, + answer: A, } ``` -A more ergonomic pattern for this is being explored. - +## Where it fits + +``` +Signature → defines the contract (what goes in, what comes out) +Module → prompting strategy (how to get there) +Predict → the leaf LM call (inside every module) +Adapter → turns signatures into prompts and parses responses +Optimizer → discovers Predict leaves, tunes demos and instructions +``` + +A Module doesn't call the LM directly. It orchestrates one or more `Predict` instances that do. The optimizer reaches through the module to find and tune those Predict leaves. Your module's `forward` logic stays the same — the optimizer changes what the LM sees (demos, instructions), not how your code runs. + +| Module | What it does | Output type | Internal Predicts | +|--------|-------------|-------------|-------------------| +| `Predict` | Direct LM call | `S::Output` | 1 (itself) | +| `ChainOfThought` | Reason then answer | `WithReasoning` | 1 | +| Custom | Your logic | Your choice | Your Predicts | diff --git a/docs/docs/building-blocks/predictors.mdx b/docs/docs/building-blocks/predictors.mdx index cf2b0438..518f6b6a 100644 --- a/docs/docs/building-blocks/predictors.mdx +++ b/docs/docs/building-blocks/predictors.mdx @@ -24,12 +24,12 @@ struct QA { let predict = Predict::::new(); // Call it with typed input -let output: QA = predict.call(QAInput { +let result = predict.call(QAInput { question: "What is the capital of France?".into(), }).await?; -// Access typed output -println!("{}", output.answer); // "Paris" +// Access typed output directly (Predicted implements Deref) +println!("{}", result.answer); // "Paris" ``` The turbofish `::` tells Rust which signature you're using. The macro generates `QAInput` from your `#[input]` fields. @@ -55,19 +55,21 @@ This overrides the docstring instruction on the signature. ### With demos (few-shot) ```rust +use dspy_rs::Example; + let predict = Predict::::builder() - .demo(QA { - question: "What is 2+2?".into(), - answer: "4".into(), - }) - .demo(QA { - question: "What color is grass?".into(), - answer: "Green".into(), - }) + .demo(Example::::new( + QAInput { question: "What is 2+2?".into() }, + QAOutput { answer: "4".into() }, + )) + .demo(Example::::new( + QAInput { question: "What color is grass?".into() }, + QAOutput { answer: "Green".into() }, + )) .build(); ``` -Demos are full signature structs - both input and output fields populated. They become few-shot examples in the prompt. +Demos are `Example` — typed input/output pairs. They become few-shot examples in the prompt. ### With tools @@ -79,60 +81,52 @@ let predict = Predict::::builder() ## Calling predictors -### `.call()` - Simple typed output +`.call()` returns `Result, PredictError>`. + +`Predicted` wraps the output with call metadata and implements `Deref`, so you access fields directly: ```rust -let output: QA = predict.call(QAInput { +let result = predict.call(QAInput { question: "Why is the sky blue?".into(), }).await?; -println!("{}", output.question); // input is preserved -println!("{}", output.answer); // LLM's response +// Direct field access via Deref +println!("{}", result.answer); ``` -Returns the full signature struct with inputs + outputs. +### Accessing metadata -### `.call_with_meta()` - Output + metadata +For token usage, raw response text, or per-field parse details, use `.metadata()`: ```rust -let result = predict.call_with_meta(QAInput { - question: "Why is the sky blue?".into(), -}).await?; +let result = predict.call(input).await?; -// Typed output -let output: &QA = &result.output; -println!("{}", output.answer); +// Token usage +let usage = &result.metadata().lm_usage; +println!("Tokens: {} in, {} out", usage.prompt_tokens, usage.completion_tokens); -// Raw text for a field (before parsing) -println!("{:?}", result.field_raw("answer")); +// Raw LM response text +println!("Raw: {}", result.metadata().raw_response); -// Constraint check results -for check in result.field_checks("confidence") { - println!("{}: {}", check.label, if check.passed { "ok" } else { "failed" }); +// Per-field parse details (raw text, constraint results, flags) +if let Some(field) = result.metadata().field_meta.get("answer") { + println!("Raw text for answer: {}", field.raw_text); + for check in &field.checks { + println!("{}: {}", check.label, if check.passed { "ok" } else { "failed" }); + } } - -// Token usage -println!("Tokens: {} in, {} out", - result.lm_usage.prompt_tokens, - result.lm_usage.completion_tokens -); ``` -### `CallResult` fields +### `CallMetadata` fields | Field | Type | Description | |-------|------|-------------| -| `output` | `S` | The typed signature with all fields | | `raw_response` | `String` | Raw LLM response text | | `lm_usage` | `LmUsage` | Token counts | -| `tool_calls` | `Vec` | Any tool calls made | +| `tool_calls` | `Vec` | Tool calls the LM requested | +| `tool_executions` | `Vec` | Results from tool execution | | `node_id` | `Option` | Trace node ID if tracing | - -| Method | Returns | Description | -|--------|---------|-------------| -| `field_raw(name)` | `Option<&str>` | Raw text for a field | -| `field_checks(name)` | `&[ConstraintResult]` | Soft constraint results | -| `field_flags(name)` | `&[Flag]` | Parse flags (coercions, etc.) | +| `field_meta` | `IndexMap` | Per-field raw text, flags, constraint results | ## Error handling @@ -159,11 +153,14 @@ match predict.call(input).await { ## Predict implements Module -`Predict` implements the [`Module`](/docs/building-blocks/module) trait, so you can use it in composed pipelines: +`Predict` implements the [`Module`](/docs/building-blocks/module) trait with typed associated types: ```rust -impl Module for Predict { - async fn forward(&self, inputs: Example) -> Result; +impl Module for Predict { + type Input = S::Input; + type Output = S::Output; + + async fn forward(&self, input: S::Input) -> Result, PredictError>; } ``` @@ -200,26 +197,11 @@ let analysis = analyzer.call(AnalyzeInput { println!("Sentiment: {}", analysis.sentiment); ``` -## Current limitations - - -**Signature modification at runtime is not supported.** +## Prompting strategies -Unlike DSPy's `ChainOfThought` which dynamically adds a `reasoning` field to any signature, DSRs signatures are fixed at compile time. If you want chain-of-thought, add the reasoning field to your signature: +Instead of manually adding fields for chain-of-thought reasoning, use library modules that augment any signature: -```rust -#[derive(Signature, Clone, Debug)] -struct QA { - #[input] - question: String, - - #[output] - reasoning: String, // add this explicitly - - #[output] - answer: String, -} -``` +- **`ChainOfThought`** -- adds a `reasoning` field, accessible via `result.reasoning` +- **`ReAct`** -- adds tool-calling with an action/observation loop -A more ergonomic solution for this is being worked on. - +See [Modules](/docs/building-blocks/module) for details. diff --git a/docs/docs/getting-started/introduction.mdx b/docs/docs/getting-started/introduction.mdx index 3df3c6e9..e713a9e3 100644 --- a/docs/docs/getting-started/introduction.mdx +++ b/docs/docs/getting-started/introduction.mdx @@ -1,24 +1,93 @@ --- -title: "Introduction" -description: "Explaining the paradigm" +title: "How DSRs thinks" +description: "The mental model behind typed LM programming" icon: "book" --- -Okay so this is an opinionated way to think about how to interact with language models. +This page explains how DSRs thinks about language models. Not the API -- the ideas underneath it. If the ideas land, the API will feel obvious when you see it. -And what's the actual explanation here? Right, what the fuck does this mean? It's basically saying that your unit of interaction with the model is fundamentally typed. It consists of three things: -1. Inputs -2. Outputs -3. Instructions +## The spine: prompts are functions -At the very simplest level, let's say you have a conversation. You're talking to ChatGPT. In this case, ChatGPT's instruction would be "You are a helpful assistant, please assist the user." The inputs would be the conversation so far and the system prompt. The output would be your message and the next turn of the conversation. A full chatbot conversation is like recursive right and all that jazz. The outputs feed into the inputs whatever. But it basically what we're doing here is asking you to represent the way that you're thinking about interacting with the models as composed of these three fundamental abstractions: -1. Inputs -2. Outputs -3. Instructions +Every interaction with a language model has the same shape: some inputs go in, some outputs come out, and there's an instruction telling the model what to do. This is a function signature. DSRs takes that observation literally. +Instead of writing prompts as strings, you declare what you want as a Rust struct -- typed inputs, typed outputs, a docstring for the instruction. The library compiles that declaration into a prompt, calls the model, and parses the response back into your types. You never write the prompt. You describe the *contract*, and the machinery handles the rest. -The special part about DSRS is that these inputs and these outputs can take the full power and flexibility of the Rust type system. But let's not get into that yet, right? So what we basically do is we say, "Okay, you define your input structs, you define your output structs," and you say, "This is the instructions that you want," right? It's all in docstrings, it lives in your code. +This is the core idea. Everything else follows from it. -And then what you do is you you describe exactly what you want instead of using words, you use types and docstrings. What happens is that all of this is compiled down into a nice universal prompt format and it's parsed really well. There's a robust parser arguably the best in the world and all of this is just machinery to say that the vast majority of prompts that you will ever want to write will be generic. The thing that makes your prompts prompts isn't the way that you word things, the thing that we are just forcing you to be explicit about your intent. Like what you really mean and we ask you to encode these into rich beautiful Rust types, like really take full advantage of the incredible Rust type system. +## Why types instead of strings +The conventional way to use an LM is to write a prompt string, send it, get text back, and then parse that text into whatever you actually needed. Every project reinvents the parsing. Every project has its own prompt template. Every project discovers that the model sometimes returns JSON with trailing commas, or wraps its answer in markdown fences, or adds a preamble before the actual output. +DSRs eliminates this entire category of work. When you declare an output field as `Vec`, the library renders a schema telling the model exactly what structure to produce, then uses a robust parser (BAML's jsonish) that handles all the edge cases -- malformed JSON, markdown fences, type coercion. You get back a `Vec`, not a string you hope is a `Vec`. + +The payoff is not just convenience. When your prompts are typed contracts, they compose. A module that takes `QAInput` and produces `QAOutput` can be plugged into any pipeline that needs that shape. Two modules with compatible types snap together without glue code. This is what Rust's type system is *for*. + +## Signatures: the unit of work + +A signature is a declaration of one LM interaction. It says: "given these inputs, produce these outputs, following this instruction." The instruction is the struct's docstring. The inputs and outputs are the struct's fields, tagged with `#[input]` and `#[output]`. + +A signature does not call the model. It does not format prompts. It is pure data -- a contract that says what you want, not how to get it. This separation matters because the same signature can be used with different prompting strategies, different models, and different optimization approaches. The "what" is stable; the "how" varies. + +Signatures support the full Rust type system. Your output can be an enum, a nested struct, a `Vec>` -- anything you can describe with types and docstrings. The richer your types, the more precisely the model understands what you want, because the types get compiled into schema instructions in the prompt. + +## Predictors: signatures become calls + +A predictor takes a signature and actually calls the model. `Predict` holds a signature type `QA`, and when you call it, it formats the prompt, sends it to the LM, parses the response, and gives you back typed output. + +The separation between signature and predictor exists for a reason: predictors carry *state*. A predictor can have few-shot demos (example input/output pairs that become part of the prompt), an instruction override, and tools. Optimizers work by mutating this state -- adding better demos, rewriting instructions -- without touching your types or your code. + +## Modules: composition + +A module is anything that takes typed input and produces typed output via one or more LM calls. `Predict` is the simplest module -- one call. `ChainOfThought` wraps a `Predict` and adds a reasoning step. `ReAct` chains multiple calls with tool use. You can write your own modules by composing existing ones. + +The key design choice: modules are generic over signatures. `ChainOfThought` and `ChainOfThought` are different instantiations of the same strategy. Swapping from `Predict` to `ChainOfThought` is a type change at the call site -- one line. The compiler tells you exactly what downstream code needs to adapt. + +Module composition in DSRs is struct composition. A multi-step pipeline is a struct with predictor fields. There is no special composition language, no graph builder, no runtime wiring. It's just Rust structs calling each other. The optimizer can see inside your struct because the fields are reflected at runtime via Facet -- no manual annotations, no traversal boilerplate. + +## Optimization: the compiler metaphor + +This is where DSRs diverges most from typical LM tooling. Normally, you write a prompt, test it, manually tweak it, test again. DSRs automates this loop. + +An optimizer takes your module, a training set (input/output examples), and a metric (a function that scores how good the output is). It then systematically improves the prompts inside your module -- trying different instructions, selecting better few-shot demos -- until the metric improves. Your code doesn't change. The module's internal state changes. + +The analogy is a compiler: you write the program (your module), define what "correct" means (your metric), provide training data, and the optimizer produces a better version. This is why the entry point is called `compile`. + +Three optimizers exist, each with different tradeoffs: + +- **COPRO** iterates: generate candidate instructions, evaluate, refine, repeat. Fast, simple, good enough for straightforward tasks. +- **MIPROv2** uses an LM to understand your program and generate candidates informed by prompting best practices. Slower, higher quality. +- **GEPA** uses rich textual feedback (not just scores) to guide evolutionary search over a Pareto frontier of candidates. Best for complex tasks with subtle failure modes. + +The optimizer does not see your Rust code. It sees the predictor leaves inside your module -- their schemas, demos, and instructions -- and mutates only those. After optimization, you call your module exactly as before. The optimized state is invisible to your calling code. + +## Adapters: the hidden layer + +Between your types and the LM sits an adapter. It turns your signature into a prompt (with field markers, type schemas, and instructions) and parses the LM's response back into typed values. You almost never interact with it directly, but it determines the prompt format the model sees. + +The default adapter uses a marker protocol (field delimiters like `[[ ## answer ## ]]`) that lets the model mix natural language with structured output. Complex types get full schema rendering -- enums become value lists, nested structs become JSON-like schemas with inline docstrings. The parser handles the mess models actually produce: malformed JSON, markdown wrapping, missing quotes, type coercion. + +Understanding the adapter is optional for using DSRs. It matters when you're debugging unexpected model output or writing custom modules that need fine-grained control over the prompt. + +## Where this gets weird + +If you're coming from traditional prompt engineering, a few things will feel strange. + +**You don't write prompts.** The instruction is a docstring. The structure is your types. If you find yourself wanting to add "please format your response as JSON" to an instruction, that's the adapter's job -- it already does it. Your instruction should describe *what* you want, not *how* to format it. + +**You don't parse responses.** If the model returns bad output, you get a `PredictError` with the raw response and parse failure details. You don't write regex or string splitting. If you're parsing, you're fighting the library. + +**Optimization is not fine-tuning.** The model weights don't change. Optimization rewrites the prompts and selects better few-shot examples. It's the difference between tuning the compiler flags and rewriting the compiler. This makes it fast (no GPU needed), reversible (just load different state), and composable (optimize one module without affecting others). + +**The type system is the documentation.** When a model sees `confidence: f64` with `#[check("this >= 0.0 and this <= 1.0")]`, it produces a float in range. The type and constraint *are* the prompt. Docstrings add nuance, but the types carry the structural information. If you're writing long prompt strings to describe output format, you're working against the grain. + +## The layers + +Everything above forms a layered architecture. You pick the layer you need: + +**Layer 0 (Types):** Your Rust types with Facet and BamlType derives. Source of truth. Never serialized. + +**Layer 1 (Typed Modules):** Signatures, predictors, library modules (ChainOfThought, ReAct). Where 90% of programs live. Fully compile-time checked. + +**Layer 2 (Optimization Bridge):** The optimizer interface. Discovers predictors inside your modules, mutates their state. Minimal type erasure. + +Each layer only exists if you use it. A simple `Predict::::new().call(input).await?` touches Layers 0 and 1. You don't pay for optimization machinery unless you're optimizing. diff --git a/docs/docs/getting-started/quickstart.mdx b/docs/docs/getting-started/quickstart.mdx index 19e21107..dbb23175 100644 --- a/docs/docs/getting-started/quickstart.mdx +++ b/docs/docs/getting-started/quickstart.mdx @@ -198,11 +198,13 @@ struct SentimentAnalysis { Add examples to guide the LM: ```rust +use dspy_rs::Example; + let predict = Predict::::builder() - .demo(QA { - question: "What is 2+2?".into(), - answer: "4".into(), - }) + .demo(Example::::new( + QAInput { question: "What is 2+2?".into() }, + QAOutput { answer: "4".into() }, + )) .build(); ``` @@ -224,7 +226,7 @@ struct Rating { ### Multi-step pipelines -Compose [modules](/docs/building-blocks/module) for complex workflows: +Chain [predictors](/docs/building-blocks/predictors) for complex workflows: ```rust struct SummarizeAndRate { @@ -232,10 +234,15 @@ struct SummarizeAndRate { rater: Predict, } -impl Module for SummarizeAndRate { - async fn forward(&self, inputs: Example) -> anyhow::Result { - let summary = self.summarizer.forward(inputs).await?; - // ... chain to rater +impl SummarizeAndRate { + async fn run(&self, text: String) -> anyhow::Result { + let summary = self.summarizer.call(SummarizeInput { text }).await?; + let rating = self.rater.call(RateInput { + summary: summary.summary, + }).await?; + Ok(rating.into_inner()) } } ``` + +See [Modules](/docs/building-blocks/module) for how to make this optimizer-compatible. diff --git a/docs/docs/optimizers/gepa-llm-judge.mdx b/docs/docs/optimizers/gepa-llm-judge.mdx index 25f4a365..d56f5fa6 100644 --- a/docs/docs/optimizers/gepa-llm-judge.mdx +++ b/docs/docs/optimizers/gepa-llm-judge.mdx @@ -46,14 +46,15 @@ Better Task LM prompt ### 1. Task Signature with Reasoning ```rust -#[Signature(cot)] +#[derive(Signature, Clone, Debug)] +/// Solve math word problems step by step. struct MathWordProblem { #[input] pub problem: String, - + #[output] pub reasoning: String, // We want to optimize this too - + #[output] pub answer: String, } @@ -62,9 +63,9 @@ struct MathWordProblem { ### 2. Judge Signature ```rust -#[Signature] +#[derive(Signature, Clone, Debug)] +/// You are an expert math teacher evaluating student work. struct MathJudge { - /// You are an expert math teacher evaluating student work. #[input] pub problem: String, @@ -216,7 +217,7 @@ Budget accordingly: GEPA::builder() .num_iterations(3) // Fewer iterations .minibatch_size(3) // Smaller batches - .maybe_max_lm_calls(Some(100)) // Explicit limit + .max_lm_calls(Some(100)) // Explicit limit .build() ``` diff --git a/docs/module_system_overview.md b/docs/module_system_overview.md index bbd98eeb..4cb3c820 100644 --- a/docs/module_system_overview.md +++ b/docs/module_system_overview.md @@ -100,9 +100,10 @@ impl Module for BestOfN where M::Input: Clone { ```rust optimizer.compile(&mut module, trainset, metric).await; // internally: -let params = named_parameters(&mut module); -// → [("module.predict", &mut dyn DynPredictor), ...] -// mutate demos, instructions, dump/load state — all through DynPredictor handles +visit_named_predictors_mut(&mut module, |path, predictor| { + // mutate demos, instructions, dump/load state — all through DynPredictor handles + ControlFlow::Continue(()) +})?; // after compile returns, module.call() uses optimized params — no code change ``` @@ -112,7 +113,7 @@ let params = named_parameters(&mut module); This is the paper's "Dynamic Workflow Optimization" — pipelines as executable graphs that can restructure themselves. -**Current state:** the V5 walker (`named_parameters`) can enumerate all Predict leaves in a typed module. Everything else — `ProgramGraph`, `DynModule`, `StrategyFactory`, registry, type-validated edges, topological execution — is being built now in V6. +**Current state:** the V5 walker (`visit_named_predictors_mut`) enumerates all Predict leaves in a typed module through callback traversal. Everything else — `ProgramGraph`, `DynModule`, `StrategyFactory`, registry, type-validated edges, topological execution — is being built now in V6. ```rust // Project a typed module into a mutable graph (snapshot — original untouched) @@ -146,7 +147,7 @@ You're here What you touch What's invisible to you ───────────────────────────────────────────────────────────────────────── App developer Signature, module.call() Everything below Module author #[derive(Module)], forward() Discovery, graph -Optimizer dev named_parameters, DynPredictor Graph, registry +Optimizer dev Optimizer::compile internals (`visit_named_predictors_mut`, DynPredictor) Graph, registry Meta planner ProgramGraph, registry (bottom layer — Section 1.3) ``` diff --git a/docs/plans/modules/human_audit_fuckery.md b/docs/plans/modules/human_audit_fuckery.md deleted file mode 100644 index 8ad2245e..00000000 --- a/docs/plans/modules/human_audit_fuckery.md +++ /dev/null @@ -1,13 +0,0 @@ -## purpose -this is a doc that just lists things we gotta look into post phase 4. - -1) -really gotta do some deep research on facet and if we're using it right or not taking advantage of it enough. one of the most likely places things will drift. - -2) -legacy and cruft. these are things we want to kill kill kill die die die. as noted in shapes, but i think some of this was unjustly deferred. we gotta fix that shit boss - -3) -`#[derive(Facet)]` on module structs is an implementation leak. module authors shouldn't know what Facet is — the concept is "this is a module with discoverable parameters" (like `class MyModule(dspy.Module):` in DSPy). should be `#[derive(Module)]` that implies Facet under the hood. cleanup pass question: new proc macro that emits Facet + possibly validates struct shape, or just a re-export alias? either way the user-facing surface should say Module, not Facet. - -4) diff --git a/docs/plans/modules/phase_4_5_cleanup_kickoff.md b/docs/plans/modules/phase_4_5_cleanup_kickoff.md deleted file mode 100644 index 87b99e2a..00000000 --- a/docs/plans/modules/phase_4_5_cleanup_kickoff.md +++ /dev/null @@ -1,220 +0,0 @@ -# Phase 4.5-lite: Prerequisite Cleanup - -## Current Scope Addendum (2026-02-11) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -All content below is preserved as a historical implementation record. - -Date: 2026-02-09 -Status: Completed (executed 2026-02-10) -Revised: 2026-02-09 (descoped from full 4.5 to prerequisites-only) - -## Revision History - -Original Phase 4.5 planned a full cleanup cycle with legacy quarantine, compatibility -wrappers, staged deletion gates, and optimizer ABI prep work. After reviewing the -actual code against the breadboard/design reference, the conclusion was: - -**Most of Phase 4.5's planned work is either V5 in disguise (C3 optimizer ABI, C4 -evaluator adapter) or unnecessary intermediate scaffolding (C2 quarantine) that V5 -replaces.** Building compatibility wrappers for a system you're about to replace is -waste. - -Revised plan: do only the hard prerequisites for V5, build V5 and V6, then do one -kill pass to delete all legacy surfaces in a single sweep. - -## Revised Execution Roadmap - -| Phase | Scope | What Dies | -|---|---|---| -| **4.5-lite** (this doc) | V5 prerequisites only: bounds, annotations, macro naming | Nothing deleted yet | -| **V5** (Slice 5) | F6 walker + F8 DynPredictor + typed optimizer/evaluator | Legacy system becomes fully replaceable | -| **V6** (Slice 6) | F9 DynModule + F10 ProgramGraph + registry | Dynamic graph realized | -| **Kill Pass** (post-V6) | Delete all legacy surfaces, rewrite examples | `MetaSignature`, `LegacyPredict`, `Optimizable`, `#[LegacySignature]`, `#[parameter]`, `Example`/`Prediction` coupling, examples 01-10 | - -Rationale: the legacy system is ugly but stable. It compiles, passes tests, and -doesn't block V5/V6 development. Every intermediate cleanup pass (quarantine, -compatibility wrappers, staged deletion) is throwaway work if V5 provides the actual -replacement. Build the replacement first, then delete the old thing in one sweep. - -## Ground Truth - -Primary references: -- `docs/plans/modules/tracker.md` -- `docs/plans/modules/slices_closure_audit.md` -- `docs/specs/modules/breadboard.md` -- `docs/specs/modules/shapes.md` -- `docs/specs/modules/design_reference.md` - -## Locked Decisions (Do Not Re-open) - -1. **S1/S6 direction is Option C full replacement**: Facet-native `SignatureSchema` is the target; legacy `FieldSpec`/`MetaSignature` are transitional only. -2. **Single call surface**: `Module::call` returns `Result, PredictError>`. `Predicted` carries output + metadata with `Deref`. `forward` remains as a compatibility hook/alias for implementers. Revision brief: `docs/specs/modules/calling_convention_revision.md`. -3. **Typed path is primary; dynamic is escape hatch**: user-facing APIs should optimize for typed modules first. -4. **`build_system` fallibility is intentional**: spec/docs were aligned to `Result`. -5. **Post-slice reconciliations already completed**: `ChainOfThought` Facet discoverability and ReAct parity fixes are done. - -## C1-C8 Arbitration Outcomes - -All eight decision checkpoints from the original kickoff are resolved below. -Three are in scope for 4.5-lite. Five are rerouted. - -| ID | Decision | Resolution | Phase | -|---|---|---|---| -| **C1** | `Module` trait bounds | **Accept A (hard tighten now).** No compatibility wrappers — the legacy `Module` impls stay on the old types until the kill pass deletes them. New code uses tight bounds. Wrappers were only needed if we were doing staged migration; we're not. | **4.5-lite** | -| **C2** | Legacy surface cutover | **Skip quarantine. Defer to kill pass.** Legacy surfaces (`MetaSignature`, `LegacyPredict`, `Optimizable`) remain untouched until V5 provides complete replacement. No intermediate quarantine module, no feature gates. Straight deletion after V5+V6. | **Kill Pass** | -| **C3** | Optimizer core contract | **This IS V5.** Migrating optimizer ABI from `Example/Prediction` to `DynPredictor`/`SignatureSchema` is the V5 slice definition. Not prep work. | **V5** | -| **C4** | Evaluator/feedback substrate | **This IS V5.** Typed evaluator surface replaces `Evaluator: Module`. | **V5** | -| **C5** | F12 helper generics + `__phantom` | **Accept B (redesign).** Fix macro to generate `QAOutput` not `__QAOutput`. Hide phantom from struct literal construction. | **4.5-lite** | -| **C6** | Wrapper/combinator discoverability | **Accept B (full matrix).** Fix `#[facet(opaque)]` to transparent on predictor fields. Add walker traversal tests for shipped combinators. This is a hard V5 prerequisite. | **4.5-lite** | -| **C7** | Container traversal | **Accept A (defer).** Add error-path contract tests during V5 when the walker exists to test against. No point writing walker tests before the walker. | **V5** | -| **C8** | Typed->graph edge derivation | **Accept B (lock strategy).** Annotation-first with optional trace inference later. Record as design note in V6 planning. | **V6 planning** | - -## Phase 4.5-lite Scope (Three Items) - -### Item 1: Module Trait Bounds (C1) - -Tighten `Module` associated type bounds from: -```rust -pub trait Module: Send + Sync { - type Input: Send + Sync + 'static; - type Output: Send + Sync + 'static; -``` -To: -```rust -pub trait Module: Send + Sync { - type Input: BamlType + for<'a> Facet<'a> + Send + Sync; - type Output: BamlType + for<'a> Facet<'a> + Send + Sync; -``` - -Impact: -- Existing typed modules (`Predict`, `ChainOfThought`, `ReAct`, `Map`, `AndThen`) already satisfy these bounds. No changes needed. -- Legacy impls that use `Module` will break IF `Example`/`Prediction` don't implement `BamlType + Facet`. Two options: - - (a) Add `BamlType + Facet` derives to `Example`/`Prediction` temporarily so legacy compiles. Kill pass removes them. - - (b) Remove `Module` impl from legacy types now; legacy flows use `Predictor` trait (which they already do). -- Decision on (a) vs (b) during implementation based on blast radius. - -Files to touch: -- `crates/dspy-rs/src/core/module.rs` (trait definition) -- `crates/dspy-rs/src/core/module_ext.rs` (Map/AndThen bounds propagation) -- Any examples that `impl Module` with untyped I/O - -### Item 2: Macro Naming and Phantom Cleanup (C5) - -Current problems: -- Generated output type is `__QAOutput` (double-underscore prefix leaks into user code) -- Generic signatures require `__phantom: std::marker::PhantomData` in struct literals -- Type alias workarounds like `type ReActActionStepOutput = __ReActActionStepOutput;` - -Target: -- Generated types use clean names: `QAOutput`, `QAInput` -- Phantom field is either hidden from construction (builder/`Default`) or eliminated -- No double-underscore types in public API or example code - -Files to touch: -- `crates/dsrs-macros/src/lib.rs` (macro code generation) -- `crates/dsrs-macros/tests/signature_derive.rs` (macro tests) -- `crates/dspy-rs/src/modules/react.rs` (type aliases, phantom construction) -- `crates/dspy-rs/examples/01-simple.rs` (`__QAOutput` references) -- Any other files referencing `__`-prefixed generated types - -### Item 3: Facet Annotation Fixes for Walker Transparency (C6) - -Current problems: -- `ChainOfThought.predictor` is `#[facet(opaque)]` — walker can't see the Predict inside -- `ReAct.action` and `ReAct.extract` are `#[facet(opaque)]` — same problem -- No tests verify walker traversal through wrappers - -Target: -- Predictor fields on library modules use the correct Facet annotation for walker transparency -- Walker traversal tests cover: `ChainOfThought`, `ReAct`, `Map`, `AndThen` -- Tests verify correct dotted-path output (e.g. `predictor` for CoT, `action` + `extract` for ReAct, `inner.predictor` for `Map>`) - -Note: the full F6 walker runtime ships in V5. These tests may use a minimal test walker or verify Facet shape metadata directly, depending on what infrastructure exists. The point is that the annotations are correct so V5 doesn't immediately break. - -Files to touch: -- `crates/dspy-rs/src/modules/chain_of_thought.rs` (annotation fix) -- `crates/dspy-rs/src/modules/react.rs` (annotation fix) -- `crates/dspy-rs/tests/` (new walker/shape traversal tests) - -## Exit Gates (Phase 4.5-lite) - -1. **Bounds gate**: `Module` trait requires `BamlType + Facet` on associated types. -2. **Naming gate**: No `__`-prefixed types in public API, examples, or tests. No user-facing `PhantomData` initialization. -3. **Annotation gate**: All predictor fields on shipped library modules use walker-transparent Facet annotations. Shape traversal tests pass. -4. **Regression gate**: `cargo check -p dspy-rs && cargo check -p dspy-rs --examples && cargo test` -5. **Smoke gate**: Examples 90-93 still pass. -6. **Legacy untouched gate**: `MetaSignature`, `LegacyPredict`, `Optimizable`, evaluator traits, and legacy examples are not modified (they'll be dealt with in the kill pass). - -## What Happens to Legacy During V5/V6 - -The legacy system stays in the codebase untouched. It compiles, it passes its tests, it works for the optimizer examples. It is not canonical — the 90-93 smoke examples are the reference for how the API should look. - -During V5/V6 development: -- Do NOT use examples 01-10 as reference. Use 90-93. -- Do NOT add new `MetaSignature`/`Optimizable` impls on new code. -- Do NOT extend the legacy evaluator trait surface. -- The legacy system is frozen. No new features, no fixes, no attention. - -## Kill Pass Checklist (Post-V6) - -Kept here for future reference. Execute after V5 + V6 are complete. - -- [ ] `MetaSignature` trait: zero-reference check, delete -- [ ] `LegacyPredict` struct: zero-reference check, delete -- [ ] `Optimizable` trait + `#[derive(Optimizable)]`: zero-reference check, delete -- [ ] `#[LegacySignature]` proc macro: zero-reference check, delete -- [ ] `#[parameter]` attribute: zero-reference check, delete -- [ ] `Predictor` trait (legacy forward path): zero-reference check, delete -- [ ] `Evaluator: Module` constraint: replaced by V5 typed surface -- [ ] `FeedbackEvaluator` / `ExecutionTrace` Example/Prediction coupling: replaced by V5 -- [ ] Triple-impl blocks on `Predict` (`Module` + `MetaSignature` + `Optimizable`): reduce to `Module` only -- [ ] Triple-impl blocks on `ChainOfThought`: same -- [ ] Examples 01-10: rewrite against typed path or delete -- [ ] `Example` / `Prediction` types: evaluate if anything remains; delete or move behind legacy feature -- [ ] Container traversal error-path contract tests (C7) -- [ ] Graph edge derivation strategy doc (C8) -- [ ] Final: `cargo check -p dspy-rs && cargo check -p dspy-rs --examples && cargo test` -- [ ] Final: all 90-93+ smoke examples pass -- [ ] Update `tracker.md` and `slices_closure_audit.md` - -## Superseded Sections (Historical Reference) - -The following content from the original Phase 4.5 kickoff is preserved for context -but is no longer the active plan. - -

-Original Phase 4.5 scope (superseded) - -### Original Scope Guardrails - -Phase 4.5 was originally scoped as a full API cleanup and contract-hardening phase -including legacy quarantine, compatibility wrappers, staged deletion gates, and -optimizer ABI prep work. This was descoped because: - -1. C3 (optimizer ABI migration) and C4 (evaluator adapter) are V5 feature work, not cleanup. -2. C2 (legacy quarantine) creates intermediate scaffolding that V5 replaces entirely. -3. The compatibility wrappers needed for staged C1 migration are unnecessary if legacy - impls are left untouched until the kill pass. - -### Original Execution Order (Superseded) - -- Stage A: Contract Freeze (resolve C1-C8) -- Stage B: API Surface Cleanup (bounds + macro) -- Stage C: Legacy Quarantine and Cutover (quarantine + optimizer migration) -- Stage D: Walker and Discoverability Hardening (wrapper coverage) - -Replaced by: 4.5-lite (prerequisites) -> V5 -> V6 -> Kill Pass. - -### Original Confusion Points (Resolved) - -1. "Where optimizer migration stops in Phase 4.5" — Answer: it doesn't start. It's V5. -2. "Evaluator/feedback ownership" — Answer: V5 replaces the evaluator contract. -3. "`Module` bound tightening blast radius" — Answer: hard tighten; legacy impls stay on old types until kill pass. -4. "Legacy deletion gate" — Answer: deletion happens in one sweep after V5+V6, not staged. -5. "Combinator walker guarantees" — Answer: annotation fixes in 4.5-lite; walker runtime in V5. - -
diff --git a/docs/plans/modules/slice_1.md b/docs/plans/modules/slice_1.md deleted file mode 100644 index 38519f7a..00000000 --- a/docs/plans/modules/slice_1.md +++ /dev/null @@ -1,151 +0,0 @@ -# Slice 1 Plan (V1 Typed Call) - -## Simplified Goal -Ship the V1 typed call path with **facet-derived `SignatureSchema`**, the new **`CallOutcome`** return surface, and schema-aware `ChatAdapter`/`Predict` plumbing. Focus strictly on the typed call surface (no augmentation/optimizer rewrites). Any compatibility shim is temporary compile support only, and must not become a parallel long-term API surface. - -## Execution Order (to minimize compile breakage) -1. Add the new schema & outcome core primitives (`schema.rs`, `call_outcome.rs`) and re-export them so the rest of the tree can build on the new types without touching downstream code. -2. Update `core::{Signature, module, mod}` and `lib.rs` to refer to the new primitives, keeping `FieldSpec`/`MetaSignature`/`CallResult` as deprecated shims that forward to the schema/outcome for compatibility. This keeps existing modules/tests compiling while we migrate the typed path. -3. Rewrite the macro (`crates/dsrs-macros/src/lib.rs`) so `#[derive(Signature)]` emits `SignatureSchema::of::()` builders (plus optional retrofitted `FieldSpec` arrays for the legacy ABI) and `CallOutcome` constructors for helper APIs. -4. Rewire `ChatAdapter` to format/parse via `SignatureSchema`/`FieldPath` (replace every `input_fields()`/`output_fields()` use) and expose helpers that `Predict` can rely on. -5. Rewrite `Predict` and the `Module` contract to await `CallOutcome`, use the new adapter entrypoints, and keep metadata in sync so any LM/parse failure still carries `CallMetadata`. -6. Extend the test suite with typed schema + call-outcome coverage so Slice 1 has concrete assertions, then delete or flag now-redundant legacy assertions once the shim validations land. - -## File-by-file Plan - -### crates/dspy-rs/src/core/schema.rs _(new file)_ -- Imports: `use std::{any::{Any, TypeId}, sync::OnceLock}; use std::sync::Arc; use bamltype::{jsonish::TypeIR, internal_baml_jinja::types::OutputFormatContent, schema::{Shape, Field}}; use crate::{ConstraintSpec, ConstraintKind};` (adjust real paths to where `Shape` lives). -- Add `pub struct FieldPath { parts: Vec<&'static str> }` with constructors `pub fn new(parts: impl IntoIterator) -> Self` and helpers `pub fn push(&mut self, part: &'static str)` plus `pub fn iter(&self) -> impl Iterator + '_` and `pub fn display(&self) -> String` for debugging. -- Add `pub struct FieldSchema { pub lm_name: &'static str, pub rust_name: &'static str, pub docs: &'static str, pub type_ir: TypeIR, pub shape: fn() -> &'static Shape, pub path: FieldPath, pub constraints: &'static [ConstraintSpec], pub format: Option<&'static str> }`. -- Add `pub struct SignatureSchema { instruction: &'static str, input_fields: Box<[FieldSchema]>, output_fields: Box<[FieldSchema]>, output_format: Arc }` plus `pub fn instruction(&self) -> &'static str`, `pub fn input_fields(&self) -> &[FieldSchema]`, `pub fn output_fields(&self) -> &[FieldSchema]`, `pub fn output_format(&self) -> &OutputFormatContent` along with `pub fn navigate_field(&self, path: &FieldPath, root: &bamltype::BamlValue) -> Option<&bamltype::BamlValue>` helpers that `ChatAdapter` can reuse. -- Implement `impl SignatureSchema { pub fn of() -> &'static Self }` using a TypeId-keyed cache (e.g., a `OnceCell>` or a `Mutex` guarded by a `OnceCell`) so we get a unique `OnceLock` per `S` instead of the single-`OnceLock` trap noted in S1. Internally call a `SignatureSchemaBuilder` type (either in this file or a `core/schema/builder.rs`) that runs `S::input_shape()`/`S::output_shape()` (generated by the macro) to produce ordered `FieldSchema` instances with flattened `FieldPath`s (use the `Facet` flatten flag to skip or merge levels). -- Flatten alias and constraint rule (arbitrated): keep `lm_name = alias_or_field_name` for each emitted leaf; require uniqueness of `lm_name` across each side of the schema (`input_fields`, `output_fields`). If duplicates appear after flattening, fail schema construction with a deterministic error that reports both colliding paths. Constraints/format metadata are attached to the emitted flattened leaf `FieldSchema` and reported under that leaf path. -- Provide helper methods `pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema>` (used by metadata collection) and `pub fn field_paths(&self) -> impl Iterator`. - -### crates/dspy-rs/src/core/signature.rs -- Keep `ConstraintSpec` + `ConstraintKind` (they feed the schema metadata) but remove `FieldSpec` and `MetaSignature` definitions from this file; move them to a new `_legacy.rs` module if needed so the public API stays available. Use `pub mod legacy` re-export later if we want to keep compatibility names. -- Redefine the `Signature` trait as: - ```rust - pub trait Signature: Send + Sync + 'static { - type Input: BamlType + Facet + Send + Sync; - type Output: BamlType + Facet + Send + Sync; - fn instruction() -> &'static str; - fn schema() -> &'static SignatureSchema; - } - ``` - (The `schema()` method just calls `SignatureSchema::of::()`, but keep it as a trait hook so the macro can stub `SignatureSchemaBuilder::init`). -- Add `pub fn input_shape() -> &'static Shape` / `pub fn output_shape() -> &'static Shape` helper signatures; the derive macro will generate them and the schema builder needs direct access to `Shape` for flatten/constraint flags. -- Keep a `pub trait SignatureExt` if necessary for helper accessors (like `fn format_instruction() -> &'static str`), but keep overload minimal to avoid new API surfaces. - -### crates/dspy-rs/src/core/call_outcome.rs _(new file replacing call_result.rs blocks)_ -- Move to `crate::core::call_outcome` and define: - ```rust - pub struct CallMetadata { - pub raw_response: String, - pub lm_usage: LmUsage, - pub tool_calls: Vec, - pub tool_executions: Vec, - pub node_id: Option, - pub field_meta: IndexMap, - } - - pub enum CallOutcomeErrorKind { - Lm(LmError), - Parse(ParseError), - Conversion(ConversionError, BamlValue), - } - - pub struct CallOutcomeError { - pub metadata: CallMetadata, - pub kind: CallOutcomeErrorKind, - } - - pub struct CallOutcome { - metadata: CallMetadata, - result: Result, - } - ``` - (Decide whether to keep `FieldMeta`/`ConstraintResult` definitions here or in another module; reuse the existing structs from `call_result.rs` so tests keep compiling.) -- Add constructors: - ```rust - impl CallOutcome { - pub fn ok(output: O, metadata: CallMetadata) -> Self; - pub fn err(kind: CallOutcomeErrorKind, metadata: CallMetadata) -> Self; - pub fn metadata(&self) -> &CallMetadata; - pub fn into_result(self) -> Result; - pub fn try_into_result(self) -> Result; // used by Try impl - } - ``` - where `CallOutcomeError` takes ownership of the metadata in the error branch. -- `Try` strategy (arbitrated): implement `Try`/`FromResidual` for `CallOutcome` under nightly (`#![feature(try_trait_v2)]`) because the repo toolchain is nightly; also provide `into_result()` as the stable explicit conversion API for call sites that do not rely on `?`. -- Implement `impl std::ops::Deref for CallOutcome` pointing to `Result` and `impl std::ops::DerefMut` if needed so adapters can use `?`. Implement `impl std::ops::Try for CallOutcome` (with nightly guard? check toolchain; if `try_trait_v2` unavailable, provide `impl From> for Result { ... }`). Document fallback in plan (e.g., wrap `call_outcome.rs` with `#[cfg(feature = "try_trait_v2")]`?). -- `CallMetadata` should remain sharable; expose `pub fn field_meta(&self) -> &IndexMap` for downstream uses. Ensure `CallOutcomeErrorKind::Parse` includes the `ParseError` so existing logic for `PredictError::Parse` can be re-used. - -### crates/dspy-rs/src/core/module.rs -- Update the `Module` trait: `async fn forward(&self, inputs: Example) -> CallOutcome;` and keep `forward_untyped` returning `CallOutcome` (wrap conversion errors inside `CallOutcomeErrorKind::Conversion`). Remove the `Result` return so the new default surface is `CallOutcome` everywhere. Keep the `batch` helper unchanged but adjust error handling to unwrap via `?` on `CallOutcome`. -- Keep `Optimizable` trait as-is (it still references `MetaSignature`) but add a comment in the plan noting how future slices will replace those callers with schema-based discovery. - -### crates/dspy-rs/src/lib.rs -- Re-export the new `core::call_outcome::{CallOutcome, CallOutcomeError, CallMetadata}` and the `SignatureSchema` module so downstream crates can use them: add `pub use core::schema::*; pub use core::call_outcome::*;`. -- Keep deprecated `CallResult`/`MetaSignature` exports by re-exporting them from a `pub mod legacy` that reuses the schema/outcome types internally. Clearly document in the plan that these re-exports exist only for backwards compatibility and will be trimmed in a later slice. - -### crates/dspy-rs/src/core/mod.rs -- Replace `mod call_result;` with `mod call_outcome;` and `mod schema;` and re-export the new symbols: `pub use call_outcome::{CallOutcome, CallOutcomeError, CallMetadata}; pub use schema::{SignatureSchema, FieldSchema, FieldPath};`. -- Keep `pub use call_result::{CallResult, ConstraintResult, FieldMeta};` but annotate with `#[deprecated]`/`#[cfg_attr]` (if practical) and have the old `CallResult` now delegate to `CallOutcome` so existing callers continue to compile while we migrate them. - -### crates/dspy-rs/src/adapter/chat.rs -- Replace every `Signature::input_fields()`/`output_fields()` call with `schema.input_fields()`/`schema.output_fields()` where `let schema = S::schema()` (typed path). Introduce helpers `fn insert_baml_at_path(root: &mut BamlMap, path: &FieldPath, value: BamlValue)` and `fn value_for_path(root: &BamlValue, path: &FieldPath) -> Option<&BamlValue>` backed by `SignatureSchema` to support flatten-aware navigation. -- Replace `parse_response_typed` to iterate over `schema.output_fields()`, use `jsonish::from_str` along with `field.shape()`/`field.path()` to parse each section, collect `FieldMeta`, and build the output `BamlValue` by writing at the recorded `FieldPath`s. -- Update formatting helpers (`format_system_message_typed`, `format_user_message_typed`, `format_assistant_message_typed`, `format_field_structure_typed`) to use `field.lm_name` and `field.path()` for prompts instead of legacy `FieldSpec`. Update logging fields (e.g., `output_field_count`) to use `schema.output_fields().len()`. -- Provide new `pub fn parse_response_with_schema(...) -> Result<(S::Output, CallMetadata), CallOutcomeErrorKind>` that the typed `Predict` can call, so parsing errors are already wired into `CallOutcome` metadata. This method should no longer take `Message` by reference but by value if needed to preserve ownership. - -### crates/dspy-rs/src/predictors/predict.rs -- Replace `call_with_meta`/`CallResult` with a single `pub async fn call(&self, input: S::Input) -> CallOutcome` that: - 1. Builds prompts via the schema-aware `ChatAdapter` helpers. - 2. Calls the LM, captures `raw_response`, `lm_usage`, `tool_calls`, `tool_executions`, and `node_id` exactly as before. - 3. Calls the new schema parser, returns `(S::Output, IndexMap)` and records any constraints/checks into `CallMetadata`. - 4. Constructs `CallOutcome::ok(typed_output, metadata)` on success or `CallOutcome::err(CallOutcomeErrorKind::Parse(err), metadata)` on failure; LM failures become `CallOutcome::err(CallOutcomeErrorKind::Lm(err), metadata)` with metadata still carrying `raw_response`/`lm_usage`. -- Store demos as a `Vec>` (typed `{ input: S::Input, output: S::Output }` pairs) and have the builder accept `Demo` so augmented outputs keep their extra fields without needing `S::from_parts`/`into_parts`. -- Keep `PredictBuilder` structurally the same but update it to push typed `Demo` values and expose typed helpers when needed. -- Ensure `Predict` carries the `#[facet(dsrs::parameter)]` attribute with a `PredictAccessorFns` payload that points at the new schema-aware entrypoints (`CallOutcome`, `dyn DynPredictor`, `SignatureSchema::of::()`). This keeps the F6 walker (S2) discovery working without change. -- Update `Predict` to still implement `DynPredictor` (for future slices) but adjust the trait to return `CallOutcome` for `forward_untyped` so metadata stays consistent with typed leaves and `schema()`/`instruction()` come from the derive. - -### crates/dsrs-macros/src/lib.rs -- Extend the `#[derive(Signature)]` implementation to: - 1. Read doc comments from the struct and field attributes and create a `'static` `&'static str` instruction string. - 2. Emit helper `fn input_shape() -> &'static Shape` / `fn output_shape() -> &'static Shape` referencing the `Facet` `Shape` nodes of the derived `Input`/`Output` types. Keep the existing helper structs (`Input`/`Output`) but ensure they still implement `BamlType`/`Facet` and share constraints/`#[flatten]` with the original fields. - 3. Generate a `static ONCE: OnceLock` plus `impl Signature for Struct` where `fn schema() -> &'static SignatureSchema { SignatureSchema::of::() }` and `fn instruction() -> &'static str { INSTRUCTION }`. - 4. Optionally generate the old `static __FOO_INPUT_FIELDS`/`__FOO_OUTPUT_FIELDS` arrays and `impl MetaSignature` by folding the schema into JSON if the backwards-compatibility feature gate is enabled, but mark those helpers as deprecated and simple wrappers so we can delete them once legacy modules are gone. -- Update the macro tests to assert that the generated schema includes the expected flattened paths/constraints (mirror the new plan tests) and that `Signature::schema()` is usable from other crates. - -### Adapter/Example test files -- Replace the current `crates/dspy-rs/tests/test_adapters.rs` and `tests/test_predictors.rs` expectations so they exercise the schema-based formatting/parsing. Use small fixtures (e.g., `#[derive(Signature)] struct FlattenSig { #[input] pub question: String, #[output] pub meta: Meta }`) to confirm formatting uses `FieldPath` markers and parsing rehydrates `S::Output`. -- Add new tests under `crates/dspy-rs/tests/test_signature_schema.rs` and `crates/dspy-rs/tests/test_call_outcome.rs` that follow the exact assertions listed below in the Test Plan section. - -## Migration & Compatibility Handling -- **FieldSpec:** keep the `FieldSpec` struct definition in `core/signature.rs` or a `core/legacy.rs` module but mark it `#[deprecated]`. Provide `impl From<&FieldSchema> for FieldSpec` so we can still build the old arrays inside `MetaSignature` shims without duplicating data. The plan is to keep `MetaSignature`/`LegacyPredict` alive during Slice 1 but have them drive their metadata from the new schema, so we can delete them in Slice 2 without special migration. -- **MetaSignature:** keep the trait but change its implementation for `Predict`/`LegacyPredict` to call `SignatureSchema::of::()` and `schema.field_json()` helpers. Update every `Adapter`/`Optimizer` consumer to use these shims (e.g., `ChatAdapter::format_system_message(&dyn MetaSignature)` now simply serializes `schema` to `serde_json` for compatibility). Document in the plan that once Slice 2 hits optimizer migration we will remove `MetaSignature` by replacing its consumers with schema-based discovery. -- **CallResult:** deprecate `CallResult` by making it a thin wrapper around `CallOutcome` (e.g., `impl From> for CallResult`). Update the few call sites (e.g., `examples/01-simple.rs`) to use `CallOutcome`. Leave a transitional helper in `core/legacy.rs` so existing user code still compiles until we can cut them in later slices. - -## Test Plan -1. `crates/dspy-rs/tests/test_signature_schema.rs` - - Instantiate `#[derive(Signature)] struct NestedSig` with a flattened inner struct (use `#[flatten]`). - - Assert `SignatureSchema::of::().input_fields().iter().map(|f| f.path().iter().copied().collect::>())` equals `vec![vec!["question"], vec!["detail", "note"]]` and that `output_fields()` contains both the flattened path and the aliased LM names. - - Assert `SignatureSchema::of::().output_format().kind()` matches the enum returned by `::baml_output_format().kind()`. -2. `crates/dspy-rs/tests/test_call_outcome.rs` - - Build a fake `CallMetadata` (dummy `LmUsage`, `tool_calls`, etc.) and call `CallOutcome::err(CallOutcomeErrorKind::Parse(ParseError::MissingField {...}), metadata.clone())`. - - Assert that `let err = outcome.into_result().unwrap_err();` and that `err.metadata.raw_response == metadata.raw_response` plus `err.kind` matches the parse variant. - - Assert `let metadata_ref = outcome.metadata();` still works after construction on success via `CallOutcome::ok`, ensuring we can inspect metadata on success as well. -3. `crates/dspy-rs/tests/test_chat_adapter_schema.rs` - - Use a `DummyLM` (existing test helper) that returns a pre-segmented `Message` with markers for each `FieldSchema::lm_name` and run `ChatAdapter::parse_response_typed::(&response)`. - - Assert the returned `FieldMeta` map keys are the Rust field names and that `CallOutcome::metadata().field_meta.get("answer").unwrap().raw_text` equals the section text. - - Assert the `CallOutcome` produced by `Predict::call` contains `metadata.tool_calls.len()` matching the fake LM response and that `metadata.has_failed_checks()` is `false` when there are no constraint violations. - -## Checklist of Atomic Tasks -- [ ] Create `core/schema.rs` with `FieldPath`, `FieldSchema`, `SignatureSchema`, builder logic, and caching helpers. -- [ ] Introduce `core/call_outcome.rs` defining `CallOutcome`, `CallMetadata`, `CallOutcomeErrorKind`, and their constructors/traits. -- [ ] Update `core/signature.rs`, `core/mod.rs`, and `lib.rs` so `Signature::schema()`/the re-exports point to the new primitives while keeping `FieldSpec`/`MetaSignature`/`CallResult` shims alive. -- [ ] Extend `crates/dsrs-macros/src/lib.rs` to emit `SignatureSchema` builders, `Signature::schema()`, instruction strings, and (optionally legacy) `FieldSpec` arrays. -- [ ] Rewrite `ChatAdapter` typed formatting/parsing to iterate `SignatureSchema` + `FieldPath`, and produce `CallMetadata` that feeds into `CallOutcome`. -- [ ] Replace `Predict::call_with_meta` with a single `call` returning `CallOutcome` and adjust `Module`/`DynPredictor` so their outputs are also `CallOutcome` instances. -- [ ] Update existing tests/examples to import `CallOutcome` (and eventually drop `CallResult`/`call_with_meta`) while adding the new schema + call-outcome assertions described above. diff --git a/docs/plans/modules/slice_1_refinery.md b/docs/plans/modules/slice_1_refinery.md deleted file mode 100644 index c461f6c1..00000000 --- a/docs/plans/modules/slice_1_refinery.md +++ /dev/null @@ -1,25 +0,0 @@ -# Slice 1 Refinery Critique - -## Spec Fidelity -- The current plan now tracks the primary requirements (R0–R16) from `docs/specs/modules/shapes.md` via the schema/call-outcome rewrites, but it still leaves two speculative gaps: alias/constraint behavior for flattened fields and the `Try` ergonomics around `CallOutcome`. I flagged both with exact arbitration comments because the spike docs (`S1-...`, `S8-...`, `splice S2 etc.`) advocate for concrete rules before locking any builder logic or trait changes. -- The plan otherwise aligns with `docs/specs/modules/breadboard.md` and `docs/specs/modules/design_reference.md` on the default return surface being `CallOutcome`, the single surface for `Module::forward`, and the caching/instruction invariants (U9–U10, N8, F1–F7). No additional specs were violated. - -## Shape Compliance -- Shape F2 demands a Facet-derived `SignatureSchema` with flattened paths and cache sharing; the plan now explicitly calls out a TypeId-keyed cache (with a per-`S` `OnceLock`), matching the breadboard's S1 invariant that schema state is immutable and accessible from all places. -- Generic signature derive (F12) and augmentation semantics (F3) are respected by storing demos as `Vec>` and by insisting the macro emit `input_shape`/`output_shape`. However, the plan still needs to confirm whether flattened aliases keep parent path prefixes; I captured that as an arbitration marker so engineering doesn't proceed with an assumption that might break `FieldPath` invariants from `S8`. - -## Breadboard Consistency (Places/Affordances/Boundaries) -- P1 affordances (`U1`–`U10`) remain intact because the plan retains the `Predict` builder/adapter path while clearly differentiating typed vs. legacy consumers through the note on re-exported legacy modules. The plan makes no modifications to P2–P4 flows yet, so the Place boundaries still match the breadboard descriptions. -- The `CallOutcome` single calling convention is reinforced per the locked decision. No new affordances (e.g., extra `forward_result` helpers) were introduced, keeping the plan within the breadboard's cognitive boundary for P1. - -## Sequencing & Hidden Dependencies -- The execution order already codifies the correct sequence (schema/outcome → macro → adapter → Predict/tests). I added notes explaining the TypeId cache requirement and the demo reshaping, making those dependencies explicit. -- Hidden dependency: the `Try` implementation depends on the stable toolchain supporting `try_trait_v2`. Instead of assuming it works, the plan now explicitly requests arbitration before finalizing the `Try` integration, ensuring sequencing won't fail mid-implementation. - -## API Design Consistency -- Aligning `Module::forward` and `DynPredictor::forward_untyped` on `CallOutcome` keeps the API surface uniform. Refs to `SignatureSchema::of::()` and `CallOutcome` in the adapter section replay the design reference narrative and keep the API consistent with the typed path. -- The plan also makes explicit that demos will live as typed `Demo` pairs, which both respects the new augmentation strategy and avoids future API mutations (no more `S::from_parts`). - -## Over-engineering -- No new over-engineered abstractions were introduced. The cache change is a simple map-per-type to avoid a known bug (S1). The plan deliberately defers optimizer/augmentation rewrites (Slice 2+ work), so Slice 1 remains lean and focused on the typed path. -- I kept the legacy `CallResult`/`MetaSignature` shims in the plan but clearly marked them as deprecated, so their inclusion is a compatibility layer rather than over-engineering. diff --git a/docs/plans/modules/slice_1_research.md b/docs/plans/modules/slice_1_research.md deleted file mode 100644 index 557aa6fe..00000000 --- a/docs/plans/modules/slice_1_research.md +++ /dev/null @@ -1,42 +0,0 @@ -# Slice 1 Research (V1 Typed Call) - -## Requirements Checklist (V1) -- Provide the typed signature path that F1/F12 call for: `#[derive(Signature)]` must keep generating `Input`/`Output` helper types, carry docs as instructions, and keep signature structs aligned with user fields so P1 users only change the type to swap strategies (breadboard U1–U5, shapes F1, design reference §2–§4, docs/specs/modules/shapes.md:51-200, docs/specs/modules/design_reference.md:46-355). -- Replace the legacy `FieldSpec` vectors with a Facet-derived `SignatureSchema` cache (S1/S6 decision) so every `SignatureSchema::of::()` call is idempotent and shared across Places (breadboard architectural invariant S1 plus shapes F2 and design reference §3, docs/specs/modules/breadboard.md:36-80, docs/specs/modules/shapes.md:51-200, docs/specs/modules/design_reference.md:149-229, docs/specs/modules/spikes/S6-migration-fieldspec-to-signatureschema.md:1-139). -- Keep `Predict` as the leaf parameter with demos, instruction overrides, and tools, and return a single `CallOutcome` that carries result vs metadata so adapters and module consumers (including batch helpers) can reason about success, LM usage, and parse context (breadboard U6–U10, U48, shapes F4/F5/F7, design reference §5–§8, docs/specs/modules/breadboard.md:71-200, docs/specs/modules/shapes.md:57-67, docs/specs/modules/design_reference.md:359-672). -- Provide adapter building blocks (`ChatAdapter::build_system`, `format_input/output`, `parse_sections`, `parse_output`) that consume `SignatureSchema` so typed and optional dynamic paths render/parse identical prompts and maintain flatten-aware field navigation (shapes F7, design reference §8, docs/specs/modules/shapes.md:63-67, docs/specs/modules/design_reference.md:576-672). -- Leave the Module trait minimal and async, with `forward(&self, input) -> CallOutcome` so combinators like `BestOfN`, `ChainOfThought`, and any user-defined module remain swappable without extra API surface (breadboard N8, U9, shapes F4, design reference §5, docs/specs/modules/breadboard.md:137-208, docs/specs/modules/shapes.md:57-67, docs/specs/modules/design_reference.md:359-399). - -## Type and Schema Definitions to Ship in Slice 1 -1. **Signature trait & derive surface (F1/F12):** `Signature` stays `Send + Sync + 'static` and bounds `S::Input`/`S::Output` with `BamlType + Facet + Send + Sync`, but the new derive must stop emitting static `FieldSpec` arrays. The derive still yields public `Input`/`Output` helper structs with doc comments turned into LM instructions so the adapter can display helpful prompts (design reference §2, lines 48-124, docs/specs/modules/design_reference.md:46-124). Generic parameters and `#[flatten]` fields flow through thanks to the new facet-aware schema. -2. **SignatureSchema + Field/Path metadata (F2):** `SignatureSchema` contains `instruction`, ordered `input_fields` / `output_fields`, plus an `output_format: Arc`. Each `FieldSchema` holds the LM-visible name, the Rust identifier, `TypeIR`, a pointer to its `Shape`, the `FieldPath` (e.g. `["inner", "answer"]`), docs, constraints, and format hints so `format_input/output` and `parse_output` can navigate flattened layouts (design reference §3, lines 149-229, docs/specs/modules/design_reference.md:149-229). -3. **Module and CallOutcome (F4/F5):** `Module` is an `async_trait` whose `forward` returns `CallOutcome`; `CallOutcome` itself encapsulates a `Result` plus raw LM content, usage, tool calls/executions, and field parse metadata. `Predict` is the Slice 1 leaf implementation, and `Demo` moves to typed pairs `{ input: S::Input, output: S::Output }` (design reference §5, lines 359-399, §6, lines 402-503, docs/specs/modules/design_reference.md:359-503). -4. **ChatAdapter building blocks (F7):** Public methods `build_system`, `format_input`, `format_output`, `parse_sections`, and `parse_output::` consume `SignatureSchema`, walk `BamlValue` through `FieldPath`, and support flatten-aware navigation and coercion via `jsonish::from_str` (design reference §8, lines 576-672, docs/specs/modules/design_reference.md:576-672). - -### Out of Scope for Slice 1 (but constraints to preserve) -- **F3 augmentation wrappers and ChainOfThought surfaces** are Slice 2, so Slice 1 changes must not preclude wrapper flatten/deref behavior. -- **F8 DynPredictor and optimizer-facing API** are Slice 5, so Slice 1 should keep the call pipeline compatible with later type-erased bridging but does not implement optimizer migration now. - -## Existing Code Patterns to Extend or Replace -1. **Signature derive & FieldSpec plumbing:** `crates/dsrs-macros/src/lib.rs` still emits `BamlType` helper structs, static `__FOO_INPUT_FIELDS`/`__FOO_OUTPUT_FIELDS`, and implements `Signature` with `input_fields()`, `output_fields()`, `output_format_content()`, plus the old `from_parts`/`into_parts` round-trip (`crates/dsrs-macros/src/lib.rs:22-691`). This table-driven metadata must be rewritten to build `SignatureSchema` from facet shapes instead of static arrays (see S1 plan lines 86-135, docs/specs/modules/spikes/S1-generic-signature-derive.md:85-135). -2. **Typed runtime still uses `FieldSpec` + `CallResult`:** The core `Signature` trait (`crates/dspy-rs/src/core/signature.rs:6-50`) expects `FieldSpec` arrays and the macro bridge produces them; `CallResult` is the only typed return container right now (`crates/dspy-rs/src/core/call_result.rs:6-79`). `Predict` stores `Vec` demos, calls `ChatAdapter::format_*_typed`/`parse_response_typed`, and produces `CallResult` via `CallResult::new(...)` (`crates/dspy-rs/src/predictors/predict.rs:18-190`). The typed path therefore lacks `CallOutcome`, flatten-aware schema, and `SignatureSchema` (search for `SignatureSchema` in the workspace returns only docs), so this entire pipeline is the main rewrite target. -3. **ChatAdapter typed/legacy wiring:** `ChatAdapter::format_*_typed`/`parse_response_typed` currently iterate `Signature::input_fields()` / `output_fields()` and pull values by `rust_name` from flattened `BamlValue`s, then reconstruct `S::Output` directly (`crates/dspy-rs/src/adapter/chat.rs:193-755`). The same file also still implements the legacy `MetaSignature` path (`format_system_message`, `format_demos`, adapter trait, etc.; see `crates/dspy-rs/src/adapter/mod.rs:1-24`, `crates/dspy-rs/src/adapter/chat.rs:295-824`). That code assumes top-level field names and the `MetaSignature` trait, which `Predict` currently exposes for optimizer/legacy compatibility (`crates/dspy-rs/src/predictors/predict.rs:443-478`). Removing the legacy path after introducing schema-derived metadata is possible because all existing adapters reference this trait surface. -4. **Module/optimizer surface still depends on MetaSignature:** `Optimizable` trait and optimizers use `MetaSignature` and `FieldSpec` (`crates/dspy-rs/src/core/module.rs:7-99`, `crates/dspy-rs/src/optimizer/mipro.rs:491`, `crates/dspy-rs/src/optimizer/copro.rs:73-225`). That wiring must be replaced once `DynPredictor` and schema-derived metadata exist, consistent with the S6 conclusion that there is no incremental migration (docs/specs/modules/spikes/S6-migration-fieldspec-to-signatureschema.md:1-139). - -## Spec Ambiguities / Decisions Needed -- **Alias/constraint semantics for flattened leaves:** S1 flagged that it is unclear how sibling names or alias overrides should behave when flattened fields share LM-visible names (`docs/specs/modules/spikes/S1-generic-signature-derive.md:121-135`). We need a concrete rule for naming collisions (e.g., always prefix with path, forbid duplicates) and for whether constraints on inner fields migrate to the flattened accessor or stay on the wrapper. -- **CallOutcome ergonomics:** The high-level docs describe `CallOutcome` as `Result + metadata` with `Try`/`Deref` helpers, but we still need to choose a Rust-friendly shape (builder, error propagation, conversion to `Result`, and whether `CallOutcome::from_error` clones the raw LM response or keeps an Arc) before implementing (design reference §5, lines 359-399, §6 lines 402-503, docs/specs/modules/design_reference.md:359-503). -- **Facet flatten bookkeeping:** S8 verified `field.is_flattened()` and `field.shape()` exist, but noted that `bamltype::schema_builder` and `convert::build_object_fields` currently ignore the flag (`docs/specs/modules/spikes/S8-facet-flatten-metadata.md:53-69`). Slice 1 must decide whether to patch those helper routines or wrap them with new stack-based walkers so the new `SignatureSchema` correctly recurses through flatten flags. -- **MetaSignature / Optimizable retirement timeline:** S6 concluded that the entire `FieldSpec`/`MetaSignature`/`LegacyPredict` surface is deleted (docs/specs/modules/spikes/S6-migration-fieldspec-to-signatureschema.md:85-140), yet optimizer code still depends on it. We need to document the exact migration crunch: which optimizers move to `DynPredictor`, how existing examples are updated, and what tests certify the drop of legacy traits. - -## Recommended Implementation Approach -1. **Ship `SignatureSchema` + caching (S1/S6):** Introduce the type described in design reference §3 with `FieldPath`, walker helpers, and an `OnceLock` per `TypeId`. Reuse `field.is_flattened()` per S8 to flatten nested layouts. Provide helpers (e.g., `navigate_path`, `insert_at_path`, `baml_value_fields`) so the typed adapter can reuse them later (`docs/specs/modules/design_reference.md:149-229`, `docs/specs/modules/spikes/S1-generic-signature-derive.md:86-135`, `docs/specs/modules/spikes/S8-facet-flatten-metadata.md:1-69`). -2. **Rewrite the derive macro:** Switch `crates/dsrs-macros/src/lib.rs` to generate schema metadata via facet shapes, thread generics, preserve constraints/format info, and emit `#[facet(dsrs::flatten)]` when `#[flatten]` is used (S1 steps 1-3, docs/specs/modules/spikes/S1-generic-signature-derive.md:86-135). Remove static `FieldSpec` arrays from the runtime path, or keep them behind a temporary compatibility shim that immediately delegates to the new schema while tests still rely on the old trait (if absolutely necessary). -3. **Adjust the Signature trait/CallOutcome plumbing:** Update `crates/dspy-rs/src/core/signature.rs` so `Signature` no longer exposes `input_fields`/`output_fields`/`output_format_content` but instead exposes `instructions()` (plus whatever fee we need) and let `SignatureSchema::of::()` supply the rest via the new derive. Introduce `CallOutcome` in `core/call_result.rs` (or a new module) replicating the design reference semantics with constructors `from_parts`, `ok`, `from_error`, and helper accessors. Deprecate `CallResult`/`CallResult::new` by either replacing or wrapping it until tests transition. -4. **Update Predict/module implementations:** Modify `Predict` (`crates/dspy-rs/src/predictors/predict.rs`) to store `Vec>` and rely on the new adapter pipeline. Its `call` should now await and return `CallOutcome` by constructing it from the schema-aware parsing stage, wrapping LM errors via `PredictError::Lm` or `PredictError::Parse`. `DynPredictor` implementations should return `CallOutcome` for `forward_untyped`. Make sure `Optimizable`/`MetaSignature` bindings drop or wrap to the new `DynPredictor` handles. -5. **Schema-aware adapter:** Replace `ChatAdapter` typed helpers so they iterate `SignatureSchema::input_fields/output_fields`, use `FieldPath` to `navigate_path`/`insert_at_path`, and leverage `jsonish::from_str` + `BamlType::try_from_baml_value` to reconstruct typed outputs (`docs/specs/modules/design_reference.md:576-672`). Keep `format_schema_for_prompt`, `parse_sections`, and constraint enforcement, but feed them schema-derived names to stay flatten-aware. Once this typed path is stable, the legacy `MetaSignature` branch can be removed (per S6); otherwise, provide a short-term fallback that keeps `MetaSignature` behavior by projecting the new schema into JSON. -6. **Testing/regression plan:** Add positive tests for generic + flattened signatures (both macro and adapter), flatten-aware parse/format round trips, constraint/alias coverage, and `CallOutcome` metadata (S1 acceptance). Keep `cargo test -p dsrs_macros --tests` plus new `dspy-rs` typed adapter tests. Defer optimizer migration test rewrites to later slices and document that explicitly in Slice 1 plan. - -## Readiness -- **Ready:** The specs already nail down the required types/flow (breadboard invariants, shapes parts, design reference, S1/S6/S8 decisions). We also have a working macro plus adapter/predictor code that can be rewired; the ideal change touches `crates/dsrs-macros/src/lib.rs`, `crates/dspy-rs/src/core`, `crates/dspy-rs/src/predictors/predict.rs`, and `crates/dspy-rs/src/adapter/chat.rs` with precise line references above. -- **Blocked until:** the new `SignatureSchema` + `CallOutcome` shapes are coded, flatten-aware walkers are patched in `bamltype`, and we decide how to retire `FieldSpec`/`MetaSignature` without breaking optimizer tests (S6 sink). Without those structural pieces, typed calls still rely on legacy metadata and cannot satisfy the breadboard V1 invariants. diff --git a/docs/plans/modules/slice_1_review.md b/docs/plans/modules/slice_1_review.md deleted file mode 100644 index 935a7d16..00000000 --- a/docs/plans/modules/slice_1_review.md +++ /dev/null @@ -1,10 +0,0 @@ -# Slice 1 adversarial review - -## High -- **Legacy MetaSignature prompts now emit dotted field names while the parser only accepts `\w+`.** `schema_fields_to_value` builds the JSON maps shown to `MetaSignature` using `FieldSchema::rust_name`, which is the dotted `FieldPath` (e.g. `detail.note`). That means the legacy prompts now request `[[ ## detail.note ## ]]`, but `FIELD_HEADER_PATTERN` (and therefore `parse_sections`) only matches `[[:word:]]+`, so the parser never sees those headers and `parse_response_strict` immediately claims `MissingField`. Any signature that flattens inputs/outputs is now uncompilable through `LegacyPredict` / the adapter path, which regresses the S1/S8 flatten guarantee in `docs/specs/modules/shapes.md:137-146`. Please align the legacy representation with the LM-facing name (`FieldSchema::lm_name`) or broaden the header regex so that dotted names survive, otherwise GEPA/optimizer tooling that still uses the legacy path cannot handle flattened signatures at all.— `crates/dspy-rs/src/predictors/predict.rs:295-303`, `crates/dspy-rs/src/adapter/chat.rs:27-87`, `docs/specs/modules/shapes.md:137-146` - -## Medium -- None. - -## Low -- None. diff --git a/docs/plans/modules/slice_2.md b/docs/plans/modules/slice_2.md deleted file mode 100644 index 0c05d3cf..00000000 --- a/docs/plans/modules/slice_2.md +++ /dev/null @@ -1,162 +0,0 @@ -# Slice 2 Implementation Plan: Augmentation + ChainOfThought (V2) - -## Scope & Locked Decisions -- **Slice 2 scope only**: implement F3 (augmentation combinator/macro) and F11 (ChainOfThought module) on top of the Slice 1 surface. Do not reopen Slice 1 deliverables; keep the `CallOutcome` default return, the metadata-rich error plumbing, and the typed `ChatAdapter`/`Predict` contract exactly as shipped after Slice 1. -- **Architectural constraints**: the new code must build on the current `Signature`/`FieldPath` metadata, use the same `CallOutcome`/`CallMetadata` semantics, not introduce new public variants or `Module::forward` signatures, and keep the breadth of the `FieldSchema` walker (no reversion to legacy `FieldSpec`). - -## Ordered implementation sequence (minimize compile breakage) -1. **Signature cleanup prep (keep compile passing while refactoring)** - - Update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` to stop relying on `Signature::into_parts`/`from_parts` by operating on `Demo`'s stored `input`/`output` fields directly. - - Keep `Signature` trait methods temporarily, but mark `demo_signature`, `with_demo_signatures`, and `demo_from_signature` as wrappers that call the new helpers. - - After all call sites use `Demo` fields instead of `into_parts`, remove `Signature::into_parts` & `from_parts` from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs` and the macro generation in `/Users/darin/src/personal/DSRs/crates/dsrs-macros/src/lib.rs` in the same patch to maintain compile stability. - - Run `cargo check -p dspy-rs -p dsrs_macros` once the trait removal is staged to ensure macro changes and callers stay in sync. -2. **Augmentation trait + macro metadata** - - Create `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/augmentation.rs` that defines the augmentation contract (`Augmentation`, `Augmented`) and exports `WithReasoning` helpers for ChainOfThought. The contract should leave augmentation-specific wrappers as strictly typed `BamlType + Facet + Deref` adapters (no `DerefMut`) and expose `Augmented` as the `Signature` combinator that reuses `S::Input` while wrapping `S::Output` with `A::Wrap`. - - Extend `/Users/darin/src/personal/DSRs/crates/dsrs-macros/src/lib.rs` so `#[derive(Augmentation)]` emits `WithReasoning` wrappers, the `Augmentation` impl, `Deref` helpers, and a `#[flatten]`d `output` field whose `FieldPath` metadata puts augmentation-specific fields before the wrapped output when `#[augment(output, prepend)]` is used. - - Ensure the macro also implements `Facet`/`BamlType` for `WithReasoning` and emits `FieldSchema` metadata consistent with the flattened layout; test by running `cargo check -p dsrs_macros` before adding consumers. -3. **Predict/ChatAdapter adjustments for augmentation** - - Update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` to let `Predict>` carry `CallOutcome>`, to convert between `Example` and `Demo` without `into_parts`, and to keep metadata as-is. - - Update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` so `format_demo_typed` accepts `&Demo` (no `Signature::into_parts`), and verify `parse_response_typed` correctly traverses `FieldPath`s for `WithReasoning` fields generated via augmentation. - - After these adjustments compile, re-run `cargo check -p dspy-rs` to ensure typed parsing still succeeds. -4. **ChainOfThought module implementation** - - Implement `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs` containing `ChainOfThought`, the `Reasoning` facet, and a builder that wraps `Predict>`. - - Wire `ChainOfThought` into `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs` (e.g., add `pub mod modules;` and `pub use modules::chain_of_thought::{ChainOfThought, Reasoning};`). - - Implement `ChainOfThought::call` mirroring `Predict::call` but returning `CallOutcome>` and call metadata, and implement `Module`/`MetaSignature`/`Optimizable` in exactly the same shape as `Predict`, so `ChainOfThought` can replace `Predict` in graphs without reworking `CallOutcome` behaviors. -5. **Validation tests for deref, flatten roundtrip, and CoT swap** - - Create dedicated tests (see section below) and run `cargo test -p dspy-rs --tests` to confirm deref ergonomics, schema round-trips, and `ChainOfThought` swap. -6. **Re-export + documentation updates (post-implementation)** - - Add doc comments summarizing the augmentation workflow and update `docs/plans/modules/slice_2_research.md` or other relevant docs to mention the `BamlValue` reconstruction choice and `Deref` guidance (already started in the research doc). No new API surface beyond the planned module. - -## File-specific tasks and exact signatures/macro outputs - -### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs` -- Remove `fn from_parts(input: Self::Input, output: Self::Output) -> Self` and `fn into_parts(self) -> (Self::Input, Self::Output)` from `trait Signature`. -- Keep the rest of the trait intact so `SignatureSchema` still consumes `instruction()`, `input_shape`, `output_shape`, `input/output_field_metadata`, and `output_format_content`. -- After trait removal, ensure no other file calls the deleted methods by updating `PredictBuilder::demo_signature`, `with_demo_signatures`, and any adapters; once the callers are rewritten, delete those helper methods entirely. - -### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` -- Replace `demo.into_parts()` usage in `ChatAdapter` calls with direct access to `demo.input`/`demo.output`. -- Delete `demo_from_signature` and the deprecated builder helpers once trait cleanup is finished. -- Ensure `Predict::call` is generic over `S::Input: BamlType` and `S::Output: BamlType` as today, but add a helper `fn wrap_with_reasoning(output: S::Output) -> A::Wrap` when building `Augmented`-based predictors. -- When `ChainOfThought` plugs in, call `self.predictor.call(input)` (where `predictor` is `Predict>`) and return the resulting `CallOutcome>`. - -### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` -- Change `format_demo_typed` signature to `pub fn format_demo_typed(&self, demo: &Demo) -> (String, String)` and call `format_user_message_typed(&demo.input)`/`format_assistant_message_typed(&demo.output)`. -- Verify the `FieldPath` navigation helpers (`value_for_path`, `insert_baml_at_path`) continue to work for `WithReasoning` by ensuring the generated schema still emits the reasoning field’s path (`reasoning`) and the flattened output fields (e.g., `answer`/`confidence`). -- No changes to the parsing logic are necessary beyond confirming config because `SignatureSchema::output_fields()` derives from the new `WithReasoning` shape created by the augmentation macro. - -### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/augmentation.rs` (new file) -Define the augmentation primitives with these exact signatures: -```rust -use std::marker::PhantomData; -use std::ops::Deref; -use crate::{BamlType, Facet, Signature}; - -pub trait Augmentation: Send + Sync + 'static { - type Wrap: BamlType + Facet + Deref; -} - -pub struct Augmented { - _marker: PhantomData<(S, A)>, -} - -impl Signature for Augmented { - type Input = S::Input; - type Output = A::Wrap; - - fn instructions() -> &'static str { - S::instructions() - } -} -``` -- Also expose helper traits to fetch the wrapped output (e.g., `pub type AugmentedOutput = as Deref>::Target;`). -- Re-export this module from `crates/dspy-rs/src/lib.rs` so `ChainOfThought` and other consumers can `use dspy_rs::augmentation::{Augmentation, Augmented};`. - -### `/Users/darin/src/personal/DSRs/crates/dsrs-macros/src/lib.rs` -- Add support for `#[derive(Augmentation)]` with an optional `#[augment(output, prepend)]` attribute. The macro should: - 1. Declare `pub struct With { pub reasoning: , #[flatten] pub output: O }` with `reasoning` fields derived directly from the annotated struct. - 2. Implement `Deref` so `With...` transparently forwards to the wrapped output and a `From> for With...` if needed. - 3. Implement `Augmentation` for the original struct: `impl Augmentation for Reasoning { type Wrap = WithReasoning; }`. - 4. Apply `#[derive(BamlType, Facet)]` to `WithReasoning` so the generated `FieldSchema`s carry flattened metadata; the macro should insert the `output` field with `#[flatten]` and ensure the augmentation fields (reasoning) appear ahead of the flattened `output` when `prepend` is specified. - 5. Propagate the doc comments (`collect_doc_comment`) from the annotated struct to the generated `reasoning` fields so LM instructions stay consistent. -- The macro should also emit an inherent `impl` for `WithReasoning` that exposes `pub fn reasoning(&self) -> &Reasoning` so ergonomic access works even before `Deref` (helpful for pipe/resizable code). - -### `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs` (new file) -Define: -```rust -use crate::{CallMetadata, CallOutcome, CallOutcomeErrorKind, ChatAdapter, Example, FieldSchema, Module, Optimizable, Predict, Prediction, Signature}; -use crate::augmentation::{Augmentation, Augmented}; - -pub struct Reasoning { - #[output] - pub reasoning: String, -} - -#[derive(Default)] -pub struct ChainOfThought { - predictor: Predict>, -} -``` -- Provide `impl ChainOfThought { pub fn new() -> Self; pub fn with_predict(predictor: Predict>) -> Self; pub fn builder() -> ChainOfThoughtBuilder; pub async fn call(&self, input: S::Input) -> CallOutcome> { self.predictor.call(input).await } }`. `new()` must construct with `Predict::>::new()` to match U13 (`ChainOfThought::::new()`), and `ChainOfThoughtBuilder` must expose the full delegated `PredictBuilder>` DSL (demos, instruction overrides, tools) for swap ergonomics. -- Implement `Module`/`MetaSignature`/`Optimizable` the same way `Predict` currently does, forwarding `forward`, `forward_untyped`, and the metadata methods to the internal `Predict>` so the optimizer/walker sees the same `CallOutcome` flow and field schema as `Predict`. -- Re-export `ChainOfThought` and `Reasoning` through `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs` so modules can `use dspy_rs::modules::chain_of_thought::ChainOfThought;` and swap it in place of `Predict`. - -## Macro expansion example for `#[derive(Augmentation)]` + `#[augment(output, prepend)]` -Given -```rust -#[derive(Augmentation, Facet, BamlType)] -#[augment(output, prepend)] -pub struct ReasoningFacet { - #[output] - pub reasoning: String, -} -``` -the macro should expand to roughly: -```rust -pub struct WithReasoningFacet { - pub reasoning: String, - #[flatten] - pub output: O, -} - -impl Deref for WithReasoningFacet { - type Target = O; - fn deref(&self) -> &Self::Target { &self.output } -} - -impl Augmentation for ReasoningFacet { - type Wrap = WithReasoningFacet; -} -``` -Because the `output` field is annotated with `#[flatten]`, `SignatureSchema::output_fields()` emits two `FieldSchema`s: one for `reasoning` with `FieldPath::new(["reasoning"])` and one for every field inside `O` with `FieldPath`s such as `["answer"]`. The `prepend` flag instructs the macro to insert the reasoning `FieldSchema` before the flattened `output` fields so collection order matches the spec. - -## ChainOfThought wiring details -- `ChainOfThought` stores a `Predict>` and exposes `call(input: S::Input)` returning `CallOutcome>` by delegating to the inner predictor. It reuses the same `CallOutcome`/`CallMetadata` as `Predict` so metadata stays intact (raw text, token counts, field checks). -- `Module::forward`/`forward_untyped` for `ChainOfThought` mirror the implementations in `Predict`, converting `Example`/`BamlValue` to typed inputs, calling `Predict::call`, and transforming the `WithReasoning` output into a `Prediction` while preserving metadata. -- `MetaSignature` implementation forwards to the inner `Predict` so the optimizer/walker sees the same schema (including the augmented `reasoning` field) and the same `CallOutcome` machinery. -- Expose a builder (`ChainOfThoughtBuilder`) that wraps `PredictBuilder>` so demos/instruction overrides continue to work. - -## Migration steps (Signature cleanup + Demo/adapter integration) -1. **Demo helpers**: remove `demo_signature`, `with_demo_signatures`, and `demo_from_signature`; update `PredictBuilder` to accept only `Demo` values. -2. **Example conversion**: `example_from_demo` no longer relies on `Signature::into_parts`; keep using `demo.input`/`demo.output` for serialization/deserialization. -3. **ChatAdapter**: update `format_demo_typed` to accept `&Demo` and call `format_user_message_typed(&demo.input)`/`format_assistant_message_typed(&demo.output)` so `Recursive FieldPath` logic continues to work after trait cleanup. -4. **Signature trait**: remove `from_parts/into_parts` and ensure `dsrs-macros` no longer tries to synthesize them; add release notes if ratio instructs. -5. **Field schema verification**: ensure `SignatureSchema` still builds `FieldPath`s for new `WithReasoning` output by running `cargo test -p dspy-rs tests::test_chat_adapter_schema` (existing test) once new augmentation derived fields exist. - -## Explicit test matrix -| File | Focus | Key assertions | -|------|-------|----------------| -| `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_with_reasoning_deref.rs` | S3 deref ergonomics | instantiate `Reasoning`/`WithReasoning` via the macro, assert `result.reasoning` is reachable, `Deref` lets you call methods on the inner `QAOutput`, and pattern matching without `.reasoning` requires destructuring (the test can assert that `let WithReasoning { reasoning, output: _ } = result;` compiles).| -| `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_flatten_roundtrip.rs` | Flatten metadata + ChatAdapter roundtrip | Build a `Demo>`, call `ChatAdapter::format_demo_typed`, feed the formatted strings back into `ChatAdapter::parse_response_typed::>()`, and assert the returned `WithReasoning` has both `answer`/`confidence` (flattened) and `reasoning` fields populated. Ensure `FieldPath`s from `schema.output_fields()` include `reasoning` before the QA output paths.| -| `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_chain_of_thought_swap.rs` | ChainOfThought swap type check | Define a helper that accepts any `impl Module` and show that `ChainOfThought::` builds via its builder and satisfies the `Module` bound. Additionally construct a `Predict>` call and assert `CallOutcome>` returns the reasoning string and can be `.into_result().unwrap()`. This test verifies that swapping `Predict` for `ChainOfThought` compiles and exposes the augmented output.| - -## Recommended verification cadence -- After signature cleanup and demo rewrites: `cargo check -p dspy-rs`. -- After augmentation macro changes: `cargo check -p dsrs_macros`. -- After ChainOfThought implementation: `cargo test -p dspy-rs --tests test_chain_of_thought_swap test_flatten_roundtrip test_with_reasoning_deref`. -- Before merging: full `cargo test -p dspy-rs --tests`. - -## Next steps -1. Implement the trait/macro changes in the order outlined above. -2. Add the ChainOfThought module and tests once the augmentation macro is complete. -3. Run the verification commands and capture any new diagnostics in `/Users/darin/src/personal/DSRs/docs/plans/modules/tracker.md` if they affect later slices. diff --git a/docs/plans/modules/slice_2_refinery.md b/docs/plans/modules/slice_2_refinery.md deleted file mode 100644 index 457b1455..00000000 --- a/docs/plans/modules/slice_2_refinery.md +++ /dev/null @@ -1,27 +0,0 @@ -# Slice 2 Plan Refinery - -## Spec fidelity (V2 only) -- The shaping docs charge Slice 2 with delivering F3 (augmentation combinators) and F11 (ChainOfThought) on top of the existing Slice 1 surface without re-opening earlier work. The current plan partly addresses this, but the augmentation section still treats `Augmented` as an `Augmentation` implementation target rather than the Signature-level combinator described in `docs/specs/modules/design_reference.md` §4 and `docs/specs/modules/shapes.md` (F3). In practice that means the plan risks hardwiring augmentation metadata in the wrong module and leaving the signature combinator under-specified. The critique below updates the plan accordingly. -- The ChainOfThought module is described at the right level (predictor wrapper + builder + re-export) but needs to explicitly reuse `PredictBuilder::>` so that the API matches the breadboard affordances (slice narrative at `docs/specs/modules/breadboard.md`, U13/U16). Otherwise type-switching becomes more invasive than intended. - -## Shape compliance (F3 + F11) -- F3 requires an augmentation derive that emits a wrapper type with `#[flatten]` and `Deref`, generating FieldPaths before the wrapped output when `prepend` is used. The plan already describes building `WithReasoning` and flattening metadata, but the Augmentation trait description must drop the `DerefMut` requirement and clarify that `Augmented` implements `Signature` (not `Augmentation`) so the combinator stays at the type level. That matches the Shape doc's resolution of S3 and S7. -- F11's ChainOfThought needs to be discoverable as a Module, keep the same `CallOutcome` metadata, and fit into the `Strategy swap` affordance (U16) by letting the user swap `Predict` for `ChainOfThought` with minimal plumbing. The plan already mirrors `Predict` in structure, but call/delegate logic should be spelled out to avoid divergence. - -## Breadboard consistency (U12/U13/U16/U17-20/U28/U29/N14) -- U12/U17–20 insist that the augmented reasoning field behaves like any other output field via Deref after `#[derive(Augmentation)]`. Removing `DerefMut` and ensuring the macro emits the wrapper and `Augmentation` implementation keeps the user-facing behavior aligned with the breadboard narrative. -- U13/U16 highlight the `ChainOfThought` builder and strategy swap. The plan must keep the `ChainOfThought` constructor shape matching `PredictBuilder` (so demos/instructions/tools still look familiar) and call `WithReasoning` outputs through the same `CallOutcome` plumbing (N14 + U28/U29). The plan touches these points but should explicitly link them in the implementation steps. - -## Sequencing and dependencies -- Step order is reasonable: signature cleanup → augmentation/macro → predictor/adapters → ChainOfThought → tests → docs. It respects the dependency chain, but the plan should remind readers that removing `Signature::from_parts/into_parts` must happen before the permutation of `Demo` helpers is deleted (`Step 1` already covers this). Adding a short cross-reference will keep readers from accidentally reintroducing the old helpers later. - -## API design consistency with current code -- The plan commits to keeping `CallOutcome`, metadata, and `ChatAdapter` helper semantics unchanged, which matches the requirement from the breadboard (U9–U10) and the design reference (same adapter/prompt format). The new `ChainOfThought` module should remain a simple wrapper so existing call sites only need to change a type annotation and the `call`/`forward` pattern stays consistent. -- On augmentation, the new module must expose `Augmentation`, `Augmented`, and the concrete `WithReasoning` wrapper in a public API (per design reference §4). The plan already re-exports these from the top-level crate, so remaining work is to ensure the combinator shape is documented and `WithReasoning` exposes helper accessors for the reasoning fields (i.e., provide `fn reasoning(&self)` even before relying on Deref). - -## Over-engineering -- The plan currently adds a dedicated test for `ChainOfThought` swapping, flatten round-trips, and Deref ergonomics. Those are high-signal verification points for Slice 2, so they are appropriate; the risk of over-engineering would arise if we added unrelated tooling or extra layering beyond the spec, which the plan avoids. -- The only quibble is the `augmentation.rs` snippet, which tries to make `Augmented` also implement `Augmentation`. That duplication increases cognitive load for reviewers without changing behavior. Reframing `Augmented` as the signature combinator eliminates the extra indirection. - -## Arbitration outcomes -- Resolved in arbitration (2026-02-09): `ChainOfThoughtBuilder` exposes the delegated `PredictBuilder` DSL (`demo`, `with_demos`, `instruction`, `add_tool`, `with_tools`) in addition to `ChainOfThought::new()` so both ergonomic entry points are supported without API bifurcation. diff --git a/docs/plans/modules/slice_2_research.md b/docs/plans/modules/slice_2_research.md deleted file mode 100644 index 7e3e0750..00000000 --- a/docs/plans/modules/slice_2_research.md +++ /dev/null @@ -1,59 +0,0 @@ -# Slice 2 Research: Augmentation + ChainOfThought - -## 1. Slice 2 requirement checklist -- **U12 (Deref to augmented field)** — the demo must let callers treat `result.reasoning` as a first-class field, relying on `Deref` to reach the inner output; this is the core visibility change for F3 in V2 (`docs/specs/modules/breadboard.md:79-119`). -- **U13 (ChainOfThought library module)** — `ChainOfThought::::new()` must exist, build on the augmentation combinator, and surface the same `CallOutcome`/metadata plumbing as `Predict` (`docs/specs/modules/breadboard.md:364-380`). -- **U16 (Strategy swap)** — swapping `Predict` for `ChainOfThought` must type-check without additional wiring, even though the output type shifts from `QAOutput` to `WithReasoning` (`docs/specs/modules/breadboard.md:79-119`). -- **U17–U20 (Augmentation derive + wrapper)** — the proc-macro must support `#[derive(Augmentation)]`, the `#[augment(output, prepend)]` attribute, the generated wrapper (`WithReasoning`), and the `Augmented` type-level combinator so module authors never hand-write field plumbing (`docs/specs/modules/breadboard.md:364-380`). -- **U28, U29 (Predict field + `#[derive(Facet)]`)** — library modules like ChainOfThought must own an internally derived `Predict>` and stay discoverable via the Facet walker (`docs/specs/modules/breadboard.md:364-380`). -- **N14 (Augmentation macro)** — the compiler-side macro must generate the wrapper, `Deref`, `Facet`, and `BamlType` plumbing that keeps the flattened schema consistent (`docs/specs/modules/breadboard.md:364-380`). -- **F3 (Augmentation derive/combinator)** — the augmentation derive must emit `WithReasoning` plus `Deref`, flatten metadata, and the reusable `Augmented` combinator (`docs/specs/modules/shapes.md:59-120`). -- **F11 (Library modules)** — ChainOfThought is the first concrete implementation; its definition demonstrates the output change, the `Module` implementation, and how it plugs into the walker and optimizer (`docs/specs/modules/shapes.md:67-140`). - -## 2. Relevant types, schemas, and traits -### Signature surface (existing code) -- `MetaSignature` / `Signature` define the compile-time contract that `Predict` and all future modules satisfy. The trait currently exposes `instruction()`, cached `SignatureSchema`, field metadata, and the obsolete `from_parts`/`into_parts` helpers that Slice 2 will remove (`crates/dspy-rs/src/core/signature.rs:37-82`). -- `SignatureSchema`, `FieldSchema`, and `FieldPath` already capture flatten-aware metadata: each `FieldSchema` records the LM name, type, docs, and the `FieldPath` that records the flattened position inside nested `Facet` structs (`crates/dspy-rs/src/core/schema.rs:13-178`). - -### Augmentation & ChainOfThought (design reference) -- `Augmentation` trait: `type Wrap: BamlType + Facet + Deref` (`docs/specs/modules/design_reference.md:247-308`). -- Derive output: `#[derive(Augmentation)]` on `Reasoning` must emit `WithReasoning` (Facet, BamlType, flatten, `Deref`) plus the trait impl `impl Augmentation for Reasoning` (`docs/specs/modules/design_reference.md:259-308`). -- `Augmented` is a zero-sized combinator that projects `S::Input` to `A::Wrap` and forwards instructions unchanged; `Predict` will hold `Augmented` so the LM interacts with the extended schema (`docs/specs/modules/design_reference.md:299-309`). -- ChainOfThought module spec: `ChainOfThought` wraps a `Predict>`, implements `Module`, and exposes `CallOutcome>` (`docs/specs/modules/design_reference.md:861-885`). - -### Predict / Demo / ChatAdapter patterns (current implementation) -- `Demo` stores `input: S::Input` and `output: S::Output`. `Predict::call` builds prompts via `ChatAdapter`, streams LM responses, parses them back, and returns `CallOutcome` (`crates/dspy-rs/src/predictors/predict.rs:19-191`). -- `PredictBuilder` accumulates tools/demos/instruction overrides and feeds them into `Predict` (`crates/dspy-rs/src/predictors/predict.rs:200-271`). -- `ChatAdapter` typed helpers format prompts and parse responses against `SignatureSchema`, iterate over `FieldSchema::path()`, and insert responses back into nested `BamlValue` via `insert_baml_at_path` (`crates/dspy-rs/src/adapter/chat.rs:430-757`, `883-930`). -- Macro scaffolding: `#[derive(Signature)]` already parses `#[input]`, `#[output]`, `#[flatten]`, alias, format, and constraint attributes before emitting the generated types (`crates/dsrs-macros/src/lib.rs:66-160`). - -## 3. Existing code patterns to extend -- **Typed pipeline**: `Predict::call` (lines 51-190) shows the full trace: build system prompt, emit demo/inputs with `ChatAdapter`, call the LM, parse typed response, and convert to `CallOutcome`. ChainOfThought will reuse the adapter + `CallOutcome` plumbing (`crates/dspy-rs/src/predictors/predict.rs:51-191`). -- **Relational schema + flatten traversal**: `SignatureSchema::build` walks `Facet` fields, handles `flatten` by recursively extending each `FieldPath`, and creates the `FieldSchema` records that `ChatAdapter` already consumes (`crates/dspy-rs/src/core/schema.rs:105-200`). -- **Path-aware insertion**: `ChatAdapter::format_user_message_typed`, `.format_assistant_message_typed`, and `.parse_response_typed` all rely on `FieldPath` to read/write nested data, demonstrating the intended `F7` path navigation (`crates/dspy-rs/src/adapter/chat.rs:525-757`, `883-930`). -- **Demo formatting**: `format_demo_typed` currently splits a `Signature` via `into_parts`; Slice 2 will switched to working with `Demo` directly once `Signature` no longer requires `into_parts` (`crates/dspy-rs/src/adapter/chat.rs:572-581`). -- **Macro parsing stage**: `parse_signature_fields` and the `ParsedField` structure show where `#[flatten]` and future `#[augment]` attributes will hook into code generation (`crates/dsrs-macros/src/lib.rs:66-160`). - -## 4. Gaps between current implementation and V2 requirements -- **Trait surface mismatch**: `Signature` still requires `from_parts`/`into_parts` and exposes shapish helper lists; spec (S7) calls for dropping those methods and simplifying to input/output types + instructions so `Augmented` can be a pure combinator (`docs/specs/modules/spikes/S7-augmentation-derive-feasibility.md:1-78`). -- **Augmentation derive not implemented**: no `#[derive(Augmentation)]` macro exists yet, so there is no `WithReasoning` wrapper or `Augmented` combinator in code; the stack currently still uses `FieldSpec` metadata and direct `Signature` splitting (`crates/dspy-rs/src/core/signature.rs` and `crates/dspy-rs/src/adapter/chat.rs:572-757`). -- **ChainOfThought module missing**: no `ChainOfThought` type, `Predict>`, or module registration exists in the workspace, so `U13` and `U28` cannot be satisfied (`docs/specs/modules/design_reference.md:861-884`). -- **Residual split helpers still present**: Slice 1 moved `Predict` storage to `Vec>` and typed parse/format to `FieldPath`, but deprecated conversion paths still rely on `Signature::from_parts`/`into_parts` (`PredictBuilder::demo_signature`, `ChatAdapter::format_demo_typed`) and should be removed as part of S7 cleanup (`crates/dspy-rs/src/predictors/predict.rs:230-347`, `crates/dspy-rs/src/adapter/chat.rs:568-581`). -- **Legacy compatibility surface still depends on `FieldSpec`/`MetaSignature`**: while typed path is schema-first, V2 implementation must avoid regressing compatibility during augmentation rollout (especially where legacy adapters/optimizers still consume JSON field maps) (`crates/dspy-rs/src/core/signature.rs:10-67`, `crates/dspy-rs/src/predictors/predict.rs:273-399`). - -## 5. Spec ambiguities + recommended decisions -- **Mutability / pattern limitations (S3)**: nested `Deref` already handles reads/methods; pattern matching and mutation require explicit destructuring or `DerefMut`. Recommendation: keep `Deref` only for now, document that pattern matching must unwrap layer-by-layer, and add compile tests for both supported (field reads/methods) and unsupported (pattern match/mutation without `DerefMut`) scenarios (`docs/specs/modules/spikes/S3-augmentation-deref-composition.md:24-104`). -- **Path-aware reconstruction**: the design reference spells out two options (Facet `Partial` vs building nested `BamlValue`), and no final decision is written down (`docs/specs/modules/design_reference.md:323-327`). Recommendation: start with the simpler `BamlValue` reconstruction that follows `FieldPath`, then refactor to `Partial` only if streaming/evaluation requires it, because `ChatAdapter::parse_response_typed` already expects to build a `BamlValue` map (`crates/dspy-rs/src/adapter/chat.rs:609-757`). -- **Augmentation derive + trait shape (S7)**: `#[derive(Augmentation)]` must generate generic wrappers and rely on the existing Facet/BamlType derives; there is no need for `from_parts`/`into_parts` in the trait anymore (`docs/specs/modules/spikes/S7-augmentation-derive-feasibility.md:1-78`). Recommendation: adopt the simplified `Signature` trait from S7 and codegen that emits `Augmented` plus wrapper types with flatten metadata. - -## 6. Recommended implementation approach -1. **Simplify `Signature` & flow**: drop `from_parts`/`into_parts`, restrict `Signature` to `Input`, `Output`, and `instruction()`, and change `Predict`, demos, and `ChatAdapter::format_demo_typed` to work with `Demo` directly as S7 prescribes (`docs/specs/modules/spikes/S7-augmentation-derive-feasibility.md:42-78`). -2. **Augmentation derive + combinator**: implement `#[derive(Augmentation)]` to emit `WithReasoning` (`Facet`, `BamlType`, `flatten`, `Deref`) and register the generated wrapper in the `Augmentation` trait, plus the `Augmented` phantom type that maps `S::Output` → `A::Wrap` (`docs/specs/modules/design_reference.md:247-353`). -3. **ChainOfThought module**: add `ChainOfThought` (Facet struct with a `Predict>`, `Module` implementation forwarding to `predict.call`) and ensure the library registers any factory needed for the optimizer + walker (`docs/specs/modules/design_reference.md:861-885`). -4. **Macro + metadata wiring**: extend `dsrs-macros` to emit `FieldSchema` metadata that records `FieldPath`s for both user fields and flattened wrapper fields; ensure the `#[augment]` attribute marks `inner` appropriately so `collect_fields` can rebuild nested paths (`crates/dsrs-macros/src/lib.rs:66-160`, `crates/dspy-rs/src/core/schema.rs:180-258`). -5. **Adapter plumbing**: preserve the existing `FieldPath`-based typed path and add augmentation-specific roundtrip tests verifying composed wrappers survive `insert_baml_at_path`/typed extraction (`crates/dspy-rs/src/adapter/chat.rs:525-757`, `883-930`). -6. **Tests/verification**: - - Unit tests for `WithReasoning>` to confirm `result.reasoning`, `result.answer`, and `result.confidence` resolve via `Deref`, while pattern matching/mutation fail unless `DerefMut` is explicitly derived (S3 acceptance, `docs/specs/modules/spikes/S3-augmentation-deref-composition.md:69-104`). - - Integration test that instantiates `ChainOfThought`, feeds a stubbed LM, and asserts the LM prompt/output includes both reasoning and answer fields at the flattened level. - - Round-trip test that builds a `Demo>`, formats it, parses the LM response, and verifies `ChatAdapter` produces a `WithReasoning` that reconstructs the expected nested `BamlValue` (`crates/dspy-rs/src/adapter/chat.rs:568-748`). -7. **Documentation + decision notes**: update the research doc (this file) and the design reference to mention the mutability constraints, pattern-matching guidance, and the `BamlValue` path reconstruction choice so downstream authors follow the same rules (`docs/specs/modules/design_reference.md:333-356`). diff --git a/docs/plans/modules/slice_2_review.md b/docs/plans/modules/slice_2_review.md deleted file mode 100644 index b84946bb..00000000 --- a/docs/plans/modules/slice_2_review.md +++ /dev/null @@ -1,20 +0,0 @@ -# Slice 2 Adversarial Review - -## Spec Fidelity - -### ChainOfThought must be a `Facet` value for F6 discovery -- **Ground truth:** `shapes.md` defines F6 as “Facet-powered parameter discovery” and F11 says every library module (including `ChainOfThought`) must be discoverable through that walker so downstream components (ProgramGraph, optimizers) can iterate `Predict` leaves. `design_reference.md` even shows `ChainOfThought` annotated with `#[derive(Facet)]` and passed to `ProgramGraph::from_module` so `named_parameters` can find `predict` and add it as a node. *(docs/specs/modules/shapes.md:61‑67, docs/specs/modules/design_reference.md:840‑885)* -- **Implementation:** `crates/dspy-rs/src/modules/chain_of_thought.rs` defines `ChainOfThought` with only `#[derive(Default)]` and `#[derive(Augmentation, Clone, Debug)]` on `Reasoning`; there is no `#[derive(Facet)]` on the module itself nor a manual `Facet` impl for the struct, so the `predictor` field is invisible to reflection and the walker described in F6 cannot reach the `Predict`. *(chain_of_thought.rs:16‑53)* -- **Impact:** Without `Facet`, `ChainOfThought` never contributes its internal `Predict` to the optimizer/runtime graph, so the promise of automatic discovery in R4/F6/F11 stays unfulfilled. Strategy swap a la U16 cannot be validated by the future `ProgramGraph` projection. Please derive/implement `Facet` for the module and expose the `predictor` field so the shape walker can enumerate the leaf predictor. - -### Module interface still returns untyped `Prediction` -- **Ground truth:** The ChainOfThought example in `design_reference.md` ties the typed module surface directly to the typed output: `Module::forward` takes `S::Input` and returns `CallOutcome>`, mirroring the `Predict` call. This is the API that makes the “type swap” story work—upgrading `Predict` to `ChainOfThought` should only change the output type while reusing the same module call. *(docs/specs/modules/design_reference.md:861‑885)* -- **Implementation:** The current `Module` trait (and `ChainOfThought`’s impl) still operates on raw `Example`/`Prediction`. `ChainOfThought::forward` simply calls `self.predictor.forward` and returns `CallOutcome`, despite `call` returning `CallOutcome>`. There is no typed wrapper around the module entry point, so clients calling through `Module` do not observe the augmented fields directly. *(chain_of_thought.rs:45‑60)* -- **Impact:** The breadboard story for U13/U16 (swap `Predict` for `ChainOfThought`, get `.reasoning` via the same call) cannot be validated through the module trait because the interface still reserializes everything into `Prediction`. Please align `Module::forward` with the design (or introduce a typed module trait) so the `ChainOfThought` module can expose typed outcomes without rebuilding the `Prediction` map. - -## Shape & Optimization Compliance - -### Legacy optimizer path cannot see the inner predictor -- **Ground truth:** F6 expects every `Module` to reveal its `Predict` leaves via reflection rather than custom `Optimizable` plumbing, and the design reference projects any `Facet` module into `ProgramGraph::from_module` by calling `named_parameters`. Until the walker lands, the old `Optimizable` interface still has to work, meaning library modules must forward their `Predict` handles through `parameters()`. *(docs/specs/modules/shapes.md:61‑67, docs/specs/modules/design_reference.md:840‑885)* -- **Implementation:** `ChainOfThought::parameters` returns `IndexMap::new()` even though the struct contains `predictor: Predict<...>`. There is no surrogate for the walker yet, so no optimizer can mutate the demos/instruction of the wrapped predictor through the existing entry points. *(chain_of_thought.rs:98‑114)* -- **Impact:** Optimizers (COPRO/MIPRO/GEPA) that still rely on `Optimizable::parameters` cannot discover or tune the inner `Predict`, defeating part of R4 and breaking the planned optimizer hand-off until the Facet walker is wired in. Please expose the predictor in `parameters()` or wire the new walker so `ChainOfThought` participates in parameter traversal from the start. diff --git a/docs/plans/modules/slice_3.md b/docs/plans/modules/slice_3.md deleted file mode 100644 index 42d750a6..00000000 --- a/docs/plans/modules/slice_3.md +++ /dev/null @@ -1,123 +0,0 @@ -# Slice 3 Plan: Module authoring - -## Summary -1. Replace the legacy `Module` surface with the V3/F4/F12 shape (`CallOutcome` + strongly typed `Input/Output`). -2. Finish the generic/flatten signature derive path so `SignatureSchema::of::` can be built from Facet metadata and expose the helper parsing/formatting primitives that adapter-heavy modules re-use. -3. Ship the schema-aware adapter building blocks and end-to-end tests so future F5/F6 modules can compose adapters without reimplementing low-level prompt mechanics. -4. Validate that the P1→P2 ramp (e.g., `Map` / `.and_then()`) stays Facet-transparent for the optimizer walker (breadboard `N18`, `U51`) and that each `Predict` leaf still publishes the `dsrs::parameter` accessor payload required by the optimizer bridge (design reference F5/F6/S2). - -## Constraints -- Keep the work strictly within V3 (module authoring) targeted at the breadboard V3 story; do not add new augmentation, optimizer, or non-V3 features. -- Honor tracker decisions: the typed `forward` return must stay `CallOutcome` and metadata must carry raw response and parsing context in the same call. Any new APIs must not regress `CallOutcome` ergonomics (e.g., `Try`/`into_result`). -- The new schema path must settle on the Facet-driven `SignatureSchema` builder; legacy `FieldMetadataSpec` helpers are to be retired from the public surface. -- Explicitly mention the `Facet::reflect` based metadata generation so there is no lingering parallel schema surface versus the spec-level requirement that all metadata derive from Facet (shapes F1/F2/F12). - -## Key type signatures & imports -1. **Module trait (`crates/dspy-rs/src/core/module.rs`)** - ```rust - use async_trait::async_trait; - use crate::core::call_outcome::CallOutcome; - use facet::{BamlType, Facet}; - - #[async_trait] - pub trait Module: Send + Sync + 'static { - type Input: BamlType + Facet + Send + Sync + 'static; - type Output: BamlType + Facet + Send + Sync + 'static; - - async fn forward(&self, input: Self::Input) -> CallOutcome; - } - ``` -2. **Signature derive helpers (`crates/dsrs-macros/src/lib.rs`)** - - Imports: `proc_macro::{TokenStream, TokenTree}`, `syn::{DeriveInput, Data}`, `quote::quote`, `facet::Facet`. - - Function signature: - ```rust - pub fn derive_signature(input: TokenStream) -> TokenStream; - ``` - - Must emit `struct FooInput`/`FooOutput` where `T` carries the same bounds as `Foo`, and the generated `Facet` impl reflects `#[flatten]` fields with their flattened `FieldPath` (LM-visible names preserved). -3. **Signature schema builder (`crates/dspy-rs/src/core/schema.rs`)** - ```rust - pub fn schema_from_signature() -> SignatureSchema; - impl SignatureSchema { - pub fn field_paths(&self) -> &[FieldPath]; - pub fn build_system_message(&self, override: Option<&str>) -> ChatMessage; - pub fn format_input(&self, input: &S::Input) -> Vec; - pub fn format_output(&self, output: &S::Output) -> Vec; - } - ``` - - Imports: `crate::core::signature::Signature`, `facet::{Facet, BamlValue, FieldPath}`, `adapter::chat::ChatMessage`. -4. **Adapter helpers exposed (`crates/dspy-rs/src/adapter/chat.rs`)** - ```rust - pub fn build_system(schema: &SignatureSchema, instruction_override: Option<&str>) -> ChatMessage; - pub fn format_input(schema: &SignatureSchema, input: &S::Input) -> Vec; - pub fn format_output(schema: &SignatureSchema, output: &O) -> Vec; - pub fn parse_sections(content: &str) -> Vec; - pub fn parse_output(schema: &SignatureSchema, response: &str) -> Result; - ``` - - Imports: `crate::core::schema::SignatureSchema`, `crate::core::signature::Signature`, `facet::{Facet, BamlValue}`, `crate::adapter::chat::ChatMessage` etc. -5. **SignatureSchema cache** (`crates/dspy-rs/src/core/schema.rs`) - ```rust - pub fn schema_cache() -> &'static SignatureSchema; - ``` - - Guards are initialized via once-cell/`lazy_static` from Facet metadata. - -## Ordered edit steps -1. **Macro & schema metadata plumbing** - - Update `crates/dsrs-macros/src/lib.rs` to thread generics/nested bounds through generated `FooInput` and `FooOutput` helper types, emitting `#[facet(flatten(name = "foo.bar"))]` metadata for flattened fields. - - Replace any use of `FieldMetadataSpec` arrays with Facet introspection – the derive must now call into helper functions such as `facet::reflect::()` to build `FieldPath` lists. Add tests in the macro crate verifying `#[flatten]` yields multiple `FieldPath`s with unique LM-visible names. - - Add a regression test proving wrappers like `Map` / `.and_then()` expose their inner `Module` fields via Facet so the optimizer walker described in `N18` and `U51` still discovers Predict leaves. Walk the derived schema from a wrapped module and assert the flattened `FieldPath` to the inner predictor exists. - 2. **SignatureSchema builder rewrite** - - Modify `crates/dspy-rs/src/core/schema.rs` so `SignatureSchema::build()` walks the Facet tree (`facet::Facet::schema()`) and records each leaf's `FieldPath` (flattened names, type info). The builder should drop references to `FieldMetadataSpec` entirely. - - Ensure `SignatureSchema::of::()` caches the schema via `once_cell::sync::Lazy` and exposes helper methods referenced in later steps. - - Move the `TypeId`-keyed cache initialization ahead of step 3 so `schema::of::()` is statically memoized before any module trait changes rely on it; include an idiomatic helper that guarantees each monomorphized signature has its own entry (S1 failure mode alert). -3. **Module trait migration** - - Replace `crate::core::module.rs` contents with the V3 trait above, keeping `batch`/helper functions as free functions (e.g., `pub async fn batch_forward(_...)`). Update imports to include `CallOutcome`, `facet` traits, and `async_trait`. - - Update any file using `Module` (predictor modules, aggregator modules) to adopt the new type signature; plan point includes list of affected files such as `crates/dspy-rs/src/module/predict.rs`, `chains/chain_of_thought.rs`, etc., with exact type replacements. - - Confirm `Predict` still carries its `dsrs::parameter` Facet attribute and accessor payload so the optimizer walker (F6) can rehydrate a `DynPredictor`. Document this in the plan to remind implementers not to drop the attribute when refactoring `Predict` in this slice (design reference section 8, spike S2). -4. **Expose adapter building blocks** - - In `crates/dspy-rs/src/adapter/chat.rs` declare the public helper functions listed above; each should delegate to the existing typed helpers but accept a `SignatureSchema` rather than `MetaSignature`. - - Update the `Adapter` impl to route through these new helpers so backward compatibility is preserved while enabling new modules to call them directly. Mention to keep existing helper names for now but mark them `pub(crate)`. -5. **Module implementations and composer migration** - - Touch each `Module` implementor (`predict.rs`, `re_act.rs`, any aggregator) to accept typed inputs/outputs and return `CallOutcome`. Provide typically `type Input = PredictInput; type Output = PredictOutput;` etc. Document new `impl Module for Foo` snippet with associated type names. - - Confirm modules still call `ChatAdapter` helpers to format/parse via the new schema functions (they now call `build_system(schema, ...)` etc.). -6. **Testing & documentation** - - Add unit tests in `crates/dspy-rs/tests/module_authoring.rs` covering: - * Generic/flatten `Signature` derive round-trip: instantiate a test signature with `#[flatten]`, assert `SignatureSchema::of::().field_paths()` contains expected `FieldPath`s, and assert `build_system` includes flattened names. - * Module chain: construct stub modules implementing the new trait, wire them through `CallOutcome`, invoke `ForwardPipeline::call` (or similar), and assert `outcome.value.answer == "expected"` plus `outcome.metadata.raw_response.is_some()` and `outcome.metadata.field_paths.contains("flattened.field")`. - * Adapter helpers: feed a `SignatureSchema` and deterministic `response` string into `parse_output::` and assert parsed struct equals the expected facet-derived data with `assert_eq!(parsed.answer, "ok"); - * Schema cache uniqueness: add `#[test] fn schema_cache_is_per_monomorphization()` asserting pointers of `SignatureSchema::of::>()` and `SignatureSchema::of::>()` differ and at least one field path contains "inner". - - -## Migration sequencing -1. Nucleus (macro + schema) – foundational: ensures `SignatureSchema` can represent flattened generics before Module trait changes go live. -2. Module trait – once schema is stable, switch the trait to typed `Input/Output` to avoid mixing old/ new signatures mid-migration. -3. Adapter helpers – expose the new schema-aware API only after the trait relies on it so modules can swap implementations without breaking compatibility. -4. Module implementations – update each consumer after the helper surface is stable so downstream code compiles immediately. -5. Tests/doc – finish with smoke tests documenting the new workflow and lock behavior via assertions listed above. - -## Tests (assertions + coverage) -1. `crates/dspy-rs/tests/test_signature_schema.rs` - - `#[tokio::test] fn signature_schema_reflects_flattened_paths()` - * `let schema = SignatureSchema::of::();` - * `assert_eq!(schema.field_paths().iter().map(|p| p.lm_name()).collect::>(), vec!["question", "context", "context.detail"]);` -2. `crates/dspy-rs/tests/module_authoring.rs` - - `#[tokio::test] async fn call_outcome_round_trips()` - * Construct `SimpleModule` returning `CallOutcome::with_value(SimpleOutput { answer: "ok" }, metadata)`. - * Compose stub adapter that parses known string. - * `assert_eq!(outcome.value.answer, "ok");` - * `assert!(outcome.metadata.raw_response.contains("ok"));` - * `assert!(outcome.metadata.field_paths.iter().any(|path| path.lm_name() == "instructions"));` -3. `crates/dspy-rs/tests/chat_adapter_schema.rs` - - `#[test] fn adapter_helpers_round_trip()` - * Feed a deterministic chat response referencing flattened fields. - * `let parsed = parse_output::(&schema, "answer: ok\ncontext.detail: meta").unwrap();` - * `assert_eq!(parsed.answer, "ok");` - * `assert_eq!(parsed.context_detail, "meta");` -4. `crates/dspy-rs/tests/signature_derive.rs` - - `#[test] fn derive_thread_generics()` - * Derive `Signature` for `struct Context`. - * `assert!(SchemaCache::of::>().is_unique());` - * `assert!(schema.field_paths().iter().any(|path| path.lm_name().starts_with("context")));` - -## Next steps / validation -- After implementation, run `cargo test -p dspy-rs --lib --tests` plus `cargo test -p dsrs-macros --lib` to ensure new derive macros and module surfaces compile. -- Document the new workflow under `docs/specs/modules/module_authoring.md` (if not already present) referencing the new helper functions and trait signatures. diff --git a/docs/plans/modules/slice_3_refinery.md b/docs/plans/modules/slice_3_refinery.md deleted file mode 100644 index a44b0155..00000000 --- a/docs/plans/modules/slice_3_refinery.md +++ /dev/null @@ -1,30 +0,0 @@ -# Slice 3 Refinery: Module authoring drilling - -## Sources -- `docs/specs/modules/breadboard.md` -- `docs/specs/modules/shapes.md` -- `docs/specs/modules/design_reference.md` - -## 1. Spec fidelity -- The shaping & design specs (F1/F2/F3/F4/F12) require that signatures, schemas, and modules share a single Facet-driven metadata stack rather than the legacy `FieldMetadataSpec` arrays. The current plan explicitly rewrites the macro and schema builder to walk `Facet::schema()` data (see `Ordered edit steps` 1‑2) but the text never states that the old helpers must be deleted; callouts to `Facet::reflect::()` should highlight that `FieldMetadataSpec` can be retired in this slice, otherwise there is risk of lingering dual schemas. -- Breadboard P1/P2/U51 expectations specify that module combinators exist as a P1 ramp without leaking `impl Module` complexity. The plan touches the new trait and tests modules, but it does not mention re-validating `Map`/`.and_then()` combinators or the Facet transparency they require (see `Breadboard` discussion around `N18` errors). Add an explicit step or test so the P1→P2 ramp stays wired. -- The design reference (F5/F6/F8) insists that any `Predict` leaf registers `dsrs::parameter` metadata so the optimizer walker can find it. Step 3 only mentions keeping helper `batch` functions in the module crate; please state that `Predict` continues carrying the attribute (and that the discovery payload is unchanged) so front-line schema tests confirm optimizer bridges stay intact. - -## 2. Shape compliance (F4/F12) -- `Module` now matches the spec signature: `async fn forward(&self, input: Self::Input) -> CallOutcome` with `Input/Output: BamlType + Facet + Send + Sync + 'static`. The plan uses the same trait signature in section 1, so compliance is satisfied as long as `CallOutcome` remains the sole return surface (no parallel `Result`, no `forward_result`). -- The `Signature` derive rewrite fights the F12 requirement for generic/flattened outputs. The plan already calls for testing the generated `FieldPath`s and LM names, but make sure the new derive also publishes `Facet` metadata that includes the `FieldPath` primer (see `design_reference`, F2) for downstream adapter helpers. - -## 3. Breadboard consistency (places/affordances/boundaries) -- Place P1 (module consumers) and P2 (module authors) appear throughout the plan: summary points 1‑3 focus on typed calling, schema helpers, and adapter building blocks, which align with U1‑U9/U48/U51. The plan currently lacks any mention of P3/P4 affordances (optimizer or graph), which is fine for this slice, but capture in the refinement notes that the optimizer bridge (`N18`/`S2`) and program graph (`F9`/`F10`) need zero regression as downstream steps. This helps keep the breadboard boundary map alive. - -## 4. Sequencing sanity & hidden dependencies -- The ordered steps go macro→schema→trait→adapter→implementations→tests, which respects the dependency graph (schema must exist before the trait, the trait must exist before consumers, tests last). Ensure that step 2 explicitly establishes the `SignatureSchema` cache (`TypeId` → `'static`) before step 3 runs so `schema::of::()` can be a static faster path that all modules call. Likewise, adapter helper exposure must wait until the schema surface is stabilized to avoid interim `MetaSignature` references. - -## 5. API design consistency with repo patterns -- The plan keeps `async_trait` and the existing `CallOutcome` ergonomics and even preserves `forward_all` as a free function — this matches the async/utility style of `crates/dspy-rs`. The adapter helpers are rewritten to accept `SignatureSchema` instead of `MetaSignature`, mirroring the design document's `SignatureSchema` builder helpers. Just call out that new helper names (e.g., `format_input(schema, input)` vs `format_input_typed`) should follow the existing naming convention (snake_case, descriptive) and stay in `adapter::chat` so the rest of the crate sees them the same way. - -## 6. Over-engineering check -- The plan sticks to a single slice of work (module authoring) without introducing extra features (no new optimizers or graph mechanics). The testing matrix is comprehensive but proportionate to the new surface: 4 tests cover schema reflection, `CallOutcome`, adapter helpers, and derive generic bounds. No additional scaffolding is proposed, so over-engineering does not appear to be a risk here. - -## 7. Test comprehensiveness -- The authored tests hit the right guardrails: flatten path coverage, `CallOutcome` metadata, adapter parse round-trips, and generic signature caching. One missing assertion is the `SignatureSchema` cache key: the shaping doc warns about a `OnceLock` per monomorphized signature (S1). Add an explicit test that `schema_cache::>()` and `schema_cache::>()` return distinct addresses to prevent the old bug where a generic `OnceLock` is shared across all monomorphizations. diff --git a/docs/plans/modules/slice_3_research.md b/docs/plans/modules/slice_3_research.md deleted file mode 100644 index 2066f449..00000000 --- a/docs/plans/modules/slice_3_research.md +++ /dev/null @@ -1,52 +0,0 @@ -# Slice 3 Research: Module authoring - -## Required outcomes (V3 focus) -1. Enable P2 developers to write new modules by wiring generic signatures + adapter helpers instead of reimplementing prompt mechanics, mirroring the breadboard V3 story (`docs/specs/modules/breadboard.md:318-374`). -2. Ship F4 module trait semantics with `Module::forward(input)` returning `CallOutcome` while exposing typed Input/Output associated types so swapping strategies is a compile-time substitution (`docs/specs/modules/shapes.md:60-85`, `docs/specs/modules/design_reference.md:359-388`). -3. Support F12 generic `#[derive(Signature)]` + `#[flatten]` so modules that orchestrate other strategies can reuse reusable signatures, per the S1 spike resolution (Option C: full Facet-derived schema replacement, `docs/specs/modules/design_reference.md:167-240`, `docs/specs/modules/spikes/S1-generic-signature-derive.md`). -4. Provide F7 adapter building blocks (`build_system`, `format_input`, `format_output`, `parse_sections`, `parse_output`) on `SignatureSchema` so advanced modules (ReAct, BestOfN, custom paths) can compose prompts/parse results without reimplementing parsing (`docs/specs/modules/design_reference.md:576-672`). - -## Current code baseline -### Module trait (outdated shape) -- `crates/dspy-rs/src/core/module.rs:1-108` defines `pub trait Module: Send + Sync { async fn forward(&self, inputs: Example) -> CallOutcome; ... }`. The trait operates on the legacy `Example/Prediction` pair and contains `forward_untyped` + `batch` helpers rather than tying input/output to the trait itself. -- `CallOutcome` already exists (`crates/dspy-rs/src/core/call_outcome.rs:1-210`) and encapsulates metadata, but `Module` never surfaces the typed `CallOutcome` the spec expects. - -### Signature infrastructure -- `crates/dspy-rs/src/core/signature.rs:1-90`: `Signature` trait still exposes `input_shape`, `output_shape`, `input_field_metadata`, and static `FieldSpec` arrays. `MetaSignature` is used by legacy adapters, and the trait is heavy on manual metadata rather than Facet reflection. -- `crates/dspy-rs/src/core/schema.rs:1-199` already has `SignatureSchema` + `FieldPath`, but the builder still depends on the old metadata (collect_fields pulls from `S::input_field_metadata()`/`FieldMetadataSpec`). The schema cache is once-and-for-all, but `FieldPath` usage is limited to a handful of typed helpers. -- `crates/dsrs-macros/src/lib.rs` (per `docs/specs/modules/spikes/S1...`) does not forward generics or `#[flatten]` to the generated helper types, so the derive cannot produce the `BamlType`/`Facet` metadata the spec needs. - -### ChatAdapter / adapter helpers -- `crates/dspy-rs/src/adapter/chat.rs:400-930` provides typed helpers such as `format_system_message_typed`, `format_user_message_typed`, `format_assistant_message_typed`, and `parse_response_typed`. They already use `SignatureSchema::of::()` and `FieldPath` traversal, but the helper boundary still targets `Signature` (via `S::schema()`) rather than the canonical builder functions described for F7. `parse_sections` and `insert_baml_at_path` exist but are private utilities. -- The `Adapter` trait implementation in the same file still depends on `MetaSignature`/legacy `format`/`parse` APIs, so module authors wanting fine control cannot call the lower-level pieces directly. - -## Required types/signatures (per spec) -- **Module trait**: `#[async_trait] pub trait Module { type Input: BamlType + Facet + Send + Sync; type Output: BamlType + Facet + Send + Sync; async fn forward(&self, input: Self::Input) -> CallOutcome; }` with `CallOutcome` carrying metadata (`docs/specs/modules/design_reference.md:359-388`). This makes any `Module` composable in typed pipelines. -- **Signature / SignatureSchema**: The derive should only require `Signature::Input`, `::Output`, and `fn instructions()`. `SignatureSchema::of::()` must be entirely Facet-derived and track `FieldPath`s so adapter builders can format/parse nested/flattened fields (`docs/specs/modules/design_reference.md:167-240`, `docs/specs/modules/design_reference.md:576-672`). `SignatureSchema` already exists (the builder is in `crates/dspy-rs/src/core/schema.rs:1-199`), but the foundational metadata needs to drop `FieldMetadataSpec` reliance and instead reflect on `Facet` shapes. -- **Adapter building blocks**: Public API around `ChatAdapter` should include `build_system(schema, override)`, `format_input(schema, &input)`, `format_output(schema, &output)`, `parse_sections(content)`, and `parse_output::(schema, &response)` so V3 authors can assemble prompts/outputs without reusing `MetaSignature` (`docs/specs/modules/design_reference.md:576-672`). Helper internals already exist (`format_user_message_typed`, `parse_response_typed`, `parse_sections`, `insert_baml_at_path`), but they must be re-exposed in the new surface. -- **Generic Signature derive / flatten support**: Spread generics across generated `Input`/`Output` helper types and carry `#[facet(flatten)]` metadata through to runtime so flattened field paths are available (`docs/specs/modules/shapes.md:60-90`, `docs/specs/modules/spikes/S1-generic-signature-derive.md`). -- **CallOutcome**: Already defined in `crates/dspy-rs/src/core/call_outcome.rs:1-210`, it can be reused directly for `Module::forward` once the trait shifts to typed inputs/outputs. - -## Gaps between spec and repo -1. **Module trait mismatch**: Spec wants typed Input/Output associated types and `CallOutcome`, but current trait works with `Example`/`Prediction` and exposes `forward_untyped`/`batch`. No typed composition surface exists (`crates/dspy-rs/src/core/module.rs:1-108`). -2. **Signature derive limitations**: The derive macros and runtime metadata still emit static `FieldSpec`/`FieldMetadataSpec`, not Facet-driven `SignatureSchema`. The macros do not thread generics or recognize `#[flatten]`, so generic signature authors cannot build modules yet (`docs/specs/modules/spikes/S1-generic-signature-derive.md`). -3. **Adapter building block access**: The typed `ChatAdapter` helpers live behind `format_*_typed` + `parse_response_typed`, which are high-level and tied to `Signature`. There is no public `build_system(schema, ...)` / `format_input(schema, &input)` surface for module authors to reuse, nor is `parse_output` exported as a schema-aware function (`crates/dspy-rs/src/adapter/chat.rs:400-930`). -4. **MetaSignature/legacy path still present**: The `Adapter` trait implementation uses `MetaSignature` (legacy) and retains `format_system_message`, `parse_response_strict`, etc., so migrating module authoring to the typed path requires carefully removing or aliasing the legacy surface. -5. **Flatten-aware runtime metadata**: While `SignatureSchema` stores `FieldPath`, the builder still depends on manual metadata arrays rather than computing them from `Facet`, so flattened signatures cannot be derived without manual `FieldMetadataSpec` hacks (`crates/dspy-rs/src/core/schema.rs:1-199` and `crates/dspy-rs/src/core/signature.rs:1-90`). - -## Practical implementation approach for Slice 3 -1. **Finalize Signature derive + schema plumbing (S1 Option C).** - - Thread generics and bounds through the macro so `Foo` produces `FooInput`/`FooOutput` with the same constraints and the derive emits `#[facet(flatten)]` or equivalent for `#[flatten]` fields. Update `SignatureSchema::build` to reflect on `Facet` shapes (`crates/dspy-rs/src/core/schema.rs`) so adapters/metadata use the new shape-based field lists instead of `FieldMetadataSpec`. Document this as the key enabler for module authoring; when macros can handle generics + flatten, modules can chain arbitrary signatures. -2. **Rewrite `Module` trait to the spec shape.** - - Replace the legacy `Module` trait in `crates/dspy-rs/src/core/module.rs` with the async trait that binds `type Input`/`type Output` and returns `CallOutcome`. Keep or move `batch` helpers elsewhere (e.g., free function `dsrs::forward_all`) so the trait stays minimal. Ensure existing modules such as `Predict`, `ChainOfThought`, `ReAct`, and future composites implement the new trait. -3. **Surface adapter building blocks**. - - Refactor `crates/dspy-rs/src/adapter/chat.rs` to expose the schema-aware helpers the spec calls out: `build_system(schema, instruction_override)`, `format_input(schema, &input)`, `format_output(schema, &output)`, `parse_sections(content)`, and `parse_output::(schema, &response)`. Internally reuse the existing implementations of these behaviors but decouple them from `Signature`. This surfacing lets module authors call the same primitives used by `Predict` (F7). Keep the legacy `Adapter` trait implementation intact during migration but route its implementations through the new helpers. -4. **Lock the typed path to `CallOutcome`.** - - Update `Predict`, `ChainOfThought`, and other modules to use the new module trait return value and to forward metadata via `CallOutcome`. Ensure the typed path still populates `CallMetadata` (raw response, field meta, tool usage) so module authors / optimizers can inspect it. -5. **Test the authoring path end-to-end.** - - Add a smoke module (e.g., `SimpleRAG`) in tests that composes two modules with generic signatures, uses adapter builder functions directly, and asserts the `CallOutcome` metadata flows correctly. Include new tests for generic + flattened signature derive behavior (per S1) plus `ChatAdapter` parse/format coverage for flattened fields. - -### Next steps -1. Coordinate Slice 3 with Slice 2 deliverables already in flight (augmentations + ChainOfThought) so the module authoring surface can reuse those components once the trait and signature derive stabilize. -2. Once Slice 3 implements the spec surface, remove `MetaSignature`/legacy adapters via the plan laid out in Slice 1/2 documents to avoid dual metadata systems. -3. Document the new module authoring workflow (module trait + adapter helpers) in the `docs/` tree so future contributors know how to compose modules without rewriting macros. diff --git a/docs/plans/modules/slice_3_review.md b/docs/plans/modules/slice_3_review.md deleted file mode 100644 index 8a5bfda5..00000000 --- a/docs/plans/modules/slice_3_review.md +++ /dev/null @@ -1,93 +0,0 @@ -# Slice 3 Adversarial Review (Module Authoring) - -Date: 2026-02-09 -Scope: Slice 3 only (`F4`, `F12`, `U21–U27`, `N15`) with emphasis on: -- Module trait migration -- Generic/flatten signature derive behavior -- Adapter schema helper exposure -- Example authoring syntax - -Authority docs used: -- `docs/specs/modules/breadboard.md` -- `docs/specs/modules/shapes.md` -- `docs/specs/modules/design_reference.md` -- Spikes: `S1`, `S2`, `S3`, `S6`, `S7` - -## Findings - -### High - -1. **Option-C full replacement is not complete; legacy `MetaSignature`/`LegacyPredict` path remains active.** -- Spec expectation: - - `docs/specs/modules/design_reference.md:32` says no parallel schema systems. - - `docs/specs/modules/design_reference.md:997` and `docs/specs/modules/design_reference.md:1002` (plus `docs/specs/modules/shapes.md:139`, `docs/specs/modules/shapes.md:144`) resolve S1/S6 to full replacement (no migration bridge). -- Current code: - - `crates/dspy-rs/src/core/signature.rs:23` keeps `MetaSignature` as a primary trait. - - `crates/dspy-rs/src/adapter/mod.rs:15` keeps adapter contract centered on `&dyn MetaSignature`. - - `crates/dspy-rs/src/predictors/predict.rs:538` keeps `LegacyPredict` as an active type. - - `crates/dspy-rs/src/predictors/predict.rs:472` keeps `Predict: MetaSignature` bridge. -- Impact: - - Slice 3 migration ships dual runtime surfaces (typed schema path + legacy meta-signature path), conflicting with the selected “full replacement” architecture. -- Remediation: - - If Option C is authoritative: remove `LegacyPredict`/`MetaSignature` adapter path and move remaining consumers to schema-first APIs. - - If compatibility is intentionally retained: update specs to explicitly permit a bounded compatibility bridge and define removal gates. - -2. **Generic bounds are stripped from generated helper types, contradicting F12’s “thread bounds through generated types.”** -- Spec expectation: - - `docs/specs/modules/design_reference.md:122` requires threading generic parameters **and bounds** through generated types/impls. -- Current code: - - `crates/dsrs-macros/src/lib.rs:522` (`unconstrained_generics`) clears type-param bounds and removes the where clause. - - `crates/dsrs-macros/src/lib.rs:443` uses unconstrained generics for generated input/output/all helper structs. -- Impact: - - Generated helper type declarations can diverge from the user’s declared generic contract and are no longer a faithful projection of the source signature. -- Remediation: - - Preserve original generic bounds/where clauses on generated helper structs. - - Keep separate handling only for truly unused params (phantom marker), without dropping declared constraints globally. - -### Medium - -3. **Generated `__phantom` field leaks into public helper API and is user-visible in generic signatures.** -- Spec expectation: - - `docs/specs/modules/design_reference.md:985` (D7) emphasizes “zero framework tax” module authoring ergonomics. -- Current code: - - `crates/dsrs-macros/src/lib.rs:545` adds a public `__phantom` field for unused generics. - - `crates/dsrs-macros/tests/signature_derive.rs:84` shows callers must manually initialize `__phantom` for `__GenericFlattenSigOutput<_>`. -- Impact: - - Internal macro machinery leaks into author-facing types and complicates demo/output construction. -- Remediation: - - Make marker fields private and auto-initialized in generated constructors/conversions. - - Avoid requiring struct-literal initialization of generated output internals. - -4. **`Module` trait allows untyped `Example`/`Prediction` modules, diverging from the design-reference typed F4 contract.** -- Spec expectation: - - `docs/specs/modules/design_reference.md:364` and `docs/specs/modules/design_reference.md:365` constrain `Module::Input/Output` to typed `BamlType + Facet`. -- Current code: - - `crates/dspy-rs/src/core/module.rs:10` and `crates/dspy-rs/src/core/module.rs:11` only require `Send + Sync + 'static`. - - `crates/dspy-rs/examples/01-simple.rs:61` and `crates/dspy-rs/examples/01-simple.rs:62` continue `Module` authoring. -- Impact: - - Weakens compile-time composition guarantees and blurs Slice 3’s typed module-authoring boundary. -- Remediation: - - Either tighten `Module` bounds to the typed contract, or explicitly codify a separate legacy/untyped module surface in the specs. - -### Low - -5. **Adapter building-block API shape drifts from spec on `build_system` return type.** -- Spec expectation: - - `docs/specs/modules/design_reference.md:583`–`docs/specs/modules/design_reference.md:586` specifies `build_system(...) -> String`. -- Current code: - - `crates/dspy-rs/src/adapter/chat.rs:463`–`crates/dspy-rs/src/adapter/chat.rs:467` exposes `build_system(...) -> Result`. -- Impact: - - Spec/API mismatch for P2 affordance `U23`; authors must handle a failure mode not described in Slice 3 docs. -- Remediation: - - Align implementation to `String` or update specs and slice examples to document fallible behavior. - -## Validation notes - -Commands run: -- `cargo check -p dspy-rs --examples` -- `cargo test -p dsrs_macros --tests` -- `cargo test -p dspy-rs --lib` -- `cargo test -p dspy-rs --test test_signature_macro --test test_signature_schema --test test_chat_adapter_schema` -- `cargo test -p dspy-rs --test test_flatten_roundtrip --test test_typed_prompt_format --test test_with_reasoning_deref` - -Result: all commands passed in current workspace state. diff --git a/docs/plans/modules/slice_4.md b/docs/plans/modules/slice_4.md deleted file mode 100644 index e5b19b06..00000000 --- a/docs/plans/modules/slice_4.md +++ /dev/null @@ -1,36 +0,0 @@ -### Summary -Slice 4 delivers the V4 stack described in `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:410-430` by implementing the typed ReAct module (two `Predict` leaves, tool builder, adapter-driven action/extract loop), removing the extra `display_progress` parameter from `dsrs::forward_all` so the ergonomic surface matches `forward_all(&module, inputs, concurrency)`, and adding module combinators that keep the existing `CallOutcome` metadata surface while remaining Facet-discoverable. - -### Implementation Steps -1. Trim `forward_all` back to the 3-argument surface required by U48 so callers simply pass `(module, inputs, max_concurrency)` while still showing progress and preserving sorted, per-input `CallOutcome` metadata. -Files: `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs` -Existing signature(s): `pub async fn forward_all(module: &M, inputs: Vec, max_concurrency: usize, display_progress: bool) -> Vec>` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:22-57`). -New signature(s): `[NEW] pub async fn forward_all(module: &M, inputs: Vec, max_concurrency: usize) -> Vec>` (still sorting by the original index and logging the same debug field counts but without the `display_progress` field in the `tracing::instrument`). -Required imports: keep the existing `use futures::stream::{self, StreamExt};`, `use kdam::{BarExt, tqdm};`, and `use tracing::debug;`; nothing new is required because the progress bar stays inside the same file. -Other changes: adjust every call site (`/Users/darin/src/personal/DSRs/crates/dspy-rs/examples/06-other-providers-batch.rs` and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/evaluate/evaluator.rs`) to drop the `display_progress` argument so the binary call sites compile against the 3-argument helper, and ensure the `fields(...)` annotation inside `tracing::instrument` no longer references `display_progress`. - -2. Introduce `ModuleExt` plus `Map`/`AndThen` wrappers so U51 consumers can derive new modules without reimplementing `Module::forward` while keeping the Facet walker focused on each wrapper's inner predictor state. -Files: create `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module_ext.rs` and re-export it from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs`. -Existing signature(s): the `Module` trait methods (`pub trait Module: Send + Sync { async fn forward(&self, input: Self::Input) -> CallOutcome; }` at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:9-14`) plus the `CallOutcome` helpers `CallOutcome::ok`/`CallOutcome::err`/`CallOutcome::into_parts` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/call_outcome.rs:140-175`). -New signature(s): `[NEW] pub trait ModuleExt: Module + Sized { fn map(self, map: F) -> Map where F: Fn(Self::Output) -> T + Send + Sync + 'static; fn and_then(self, and_then: F) -> AndThen where F: Fn(Self::Output) -> Result + Send + Sync + 'static; }` plus `[NEW] pub struct Map { inner: M, #[facet(skip)] map: F }` and `[NEW] pub struct AndThen` with analogous layout, both deriving `Facet` so the walker still sees `inner` but not the closures. -Required imports: re-use `crate::{CallOutcome, CallOutcomeErrorKind}` when repackaging metadata, and import `facet::Facet` (if macros require) along with `std::marker::PhantomData` if needed for `Facet` boilerplate; no new external crates are required. -Other changes: implement `Module` for both wrappers so they await `self.inner.forward`, call `CallOutcome::into_parts()`, and repackage success via `CallOutcome::ok` while forwarding error kinds unchanged; `and_then` applies a fallible transform on success and always reuses the inner call metadata. Also ensure `core/mod.rs` re-exports the new trait and structs so downstream code can `use dspy_rs::ModuleExt`. - -3. Add the typed ReAct module plus builder so Layer 1 exposes `ReAct::` with two `Predict` leaves, a tool builder that accepts plain async functions, and an action/extract loop that yields `CallOutcome` per U14 and R11. -Files: create `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/react.rs` and update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/mod.rs` to export the new module. -Existing signature(s): `Predict::call(...) -> CallOutcome` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:51-213`), `PredictBuilder` fluent API (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:223-271`), and `ChainOfThought::builder()` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:120-165`) which serve as the template for the ReAct builder. Also rely on the `ReAct`-focused spec (e.g., `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:919-940`) to guide the two-step loop and tool integration. -New signature(s): `[NEW] pub struct ReAct` containing `action: Predict>`, `extract: ChainOfThought>`, and the shared `Vec>`; `[NEW] pub struct ReActBuilder` mirrors `ChainOfThoughtBuilder` but adds `[NEW] pub fn tool(self, name: impl Into, desc: impl Into, tool_fn: T) -> Self where T: ReActTool + Send + Sync + 'static` to wrap plain async handlers into `[NEW] struct ReActPlainTool`, so the builder can feed those handlers into both `PredictBuilder`s before `build()` collects them into the `ReAct` struct. Add `[NEW] pub fn with_extract_closure` or similar if needed to mutate tool-aware builder state. -Required imports: bring in `crate::core::{Module, Signature}`, `crate::modules::chain_of_thought::ChainOfThought`, `crate::predictors::{Predict, PredictBuilder}`, `crate::CallOutcome`, `rig::tool::ToolDyn`, `std::sync::Arc`, and the `facet` macros for the new struct. Also reuse `ChatAdapter` helper methods from `predict.rs` to format prompts/parse action/extract replies, and `CallOutcome` helpers to repackage metadata when the loop terminates. -Other changes: define `[NEW] ActionStep` and `[NEW] ExtractStep` signatures deriving `Signature` with `#[flatten]` fields so the LM sees the original input along with the per-iteration action/observation fields; implement the ReAct loop that calls the action predictor, dispatches to tool handlers (or treats the `final` signal as a terminal observation), feeds the generated observation plus the accumulated history into the extract predictor, and returns the final `S::Output` via `CallOutcome::ok` while carrying the metadata from the last LM interaction. Track metadata through every iteration so tool errors propagate correctly, and mark the ReAct struct with `#[derive(Facet)]` so the optimizer still discovers the `action` and `extract` predictors (see `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md:60-90`). - -4. Add new regression tests that exercise the three new surfaces (`forward_all`, `ModuleExt`, and ReAct builder/loop) to pin down the runtime behavior before writing implementation code. -Files: create `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_forward_all.rs`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_ext.rs`, and `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_react_builder.rs`. -Existing signature(s): `CallOutcome` helpers (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/call_outcome.rs:135-180`) and the `Module` trait (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:9-14`) which the tests will target via small `impl Module` stubs. -New signature(s): `[NEW] async fn test_forward_all_order()` in `test_module_forward_all.rs`, `[NEW] async fn test_module_ext_map_and_and_then()` in `test_module_ext.rs`, and `[NEW] async fn test_react_executes_tool_loop()` in `test_react_builder.rs`, each annotated with `#[tokio::test]` (or `#[cfg_attr(miri, ignore = "...")]` as needed) so they can await `forward_all`/`ModuleExt` wrappers and, for the ReAct test, configure `TestCompletionModel` responses plus simple inlined tool handlers. -Required imports: reuse `crate::core::Module`, `crate::CallOutcome`, and `crate::forward_all` plus `tokio::test`/`tokio::spawn` helpers; the ReAct test will also import `crate::modules::ReAct`, `crate::configure`, `crate::TestCompletionModel`, and any builder helpers introduced above. -Other changes: the ReAct test should assert that the tool handler registered via `.tool(...)` runs and that `forward` returns the parsed `S::Output` produced by the extract `Predict`, while the other two tests assert ordering of `forward_all` results and that `map`/`and_then` correctly transform or propagate `CallOutcome` metadata. - -### Test Plan -1. `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_forward_all.rs` — Assertion: `dsrs::forward_all` still buffers `max_concurrency` futures and reorders its outputs back to the caller’s input order while returning the per-input `CallOutcome`. Setup: simple bespoke `Module` that echoes its input along with `CallMetadata::default()` and a `Vec` of distinct integers; call the 3-arg helper with `max_concurrency` smaller than the input count. Expectation: results match the original order and the `CallOutcome` metadata is preserved even though the futures run out of order. -2. `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_module_ext.rs` — Assertion: `ModuleExt::map` applies the closure only on success and keeps metadata untouched, while `ModuleExt::and_then` applies a fallible transform that returns `Result` and preserves inner metadata. Setup: a stub module that returns `CallOutcome::ok`/`err` depending on input, wrapping it with `map`/`and_then` closures that mutate the output or return an error kind. Expectation: successful inputs are transformed, failures short-circuit with the original or closure-produced `CallOutcomeErrorKind`, and the metadata carried by `CallOutcome::into_parts()` is reused for mapped outcomes. -3. `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_react_builder.rs` — Assertion: the ReAct builder accepts a plain async `tool` handler and runs the action/extract loop to emit the typed `S::Output` inside a `CallOutcome`. Setup: configure `TestCompletionModel` (see `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/lm/client_registry.rs:1-83`) with canned action and extract responses formatted via `ChatAdapter::parse_sections`, register a tool via the builder that records its invocation arguments, and call `ReAct::forward` with a simple `Signature`. Expectation: the tool handler executes once with the provided arguments, the extract `Predict` parses the final fields into `S::Output`, and the returned `CallOutcome` includes the metadata from the last LM call. diff --git a/docs/plans/modules/slice_4_refinery.md b/docs/plans/modules/slice_4_refinery.md deleted file mode 100644 index 9e4229ee..00000000 --- a/docs/plans/modules/slice_4_refinery.md +++ /dev/null @@ -1,20 +0,0 @@ -### Spec fidelity — Pass -- The plan hits the breadboard must-haves (U14 ReAct builder + tools, U48 `forward_all` as a standalone utility, U51 `.map`/`.and_then` output combinators) and records the surface-level behaviors called out in `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:40-110` and the V4 table at `:410-430`. -- Remaining ambiguity: the spec doesn’t say whether `.and_then` should re-run the tool loop or simply replay the returned `CallOutcome`, so I flagged that assumption for arbitration before code lands. - -### Shape compliance — Pass -- ModuleExt wrappers still implement `Facet` so the walker can reach `inner` predictors, and the new `ReAct` module derives `Facet` while attaching `ActionStep`/`ExtractStep` signatures built via the generic/flatten-friendly derive path (F12, S1, S8 from `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md:60-90`). -- Using `Signature`-derived structs for those steps keeps the type boundaries aligned with the design reference’s typed modules (F4/F11) and ensures `CallOutcome` metadata stays the single return surface (see `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:360-460`). - -### Breadboard consistency — Pass -- ReAct stays in P1/Layer 1, `forward_all` remains a free utility rather than a new Module method, and ModuleExt provides the P1 ramp without hiding inner modules behind trait objects, exactly as the affordance notes demand (`docs/specs/modules/breadboard.md:40-80`, `:90-110`). -- The added `#[facet(skip)]` placeholder plus manual `Facet` impls keep the walker’s path namespace stable, satisfying the requirement that combinators expose their `inner` fields (U51 + N18 in the same document). - -### Sequencing — Pass -- The steps follow a sensible order: tighten `forward_all`, add the combination helpers, then build the ReAct module that relies on those foundations, and finally add regression tests. Nothing in the plan introduces hidden dependencies needing reordering. - -### API design — Pass -- Every new API matches existing patterns: `forward_all(module, inputs, concurrency)` mirrors the spec’s call, `ModuleExt::map/and_then` return wrapper modules that preserve `CallOutcome` metadata, and the ReAct builder exposes `.tool(name, desc, async_fn)` plus typed action/extract stages derived from `Signature` (see `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:919-940`). The only open question is how the `.and_then` metadata should merge inside the ReAct loop, which is already marked for arbitration. - -### Over-engineering — Pass -- Nothing extra is being built beyond the spec’s deliverables; the tests explicitly exercise the three new surfaces so we can fix runtime behavior ahead of coding. No additional layers or extraneous APIs are introduced. diff --git a/docs/plans/modules/slice_4_research.md b/docs/plans/modules/slice_4_research.md deleted file mode 100644 index d50d6f51..00000000 --- a/docs/plans/modules/slice_4_research.md +++ /dev/null @@ -1,35 +0,0 @@ -### Spec Requirements -- `U14` / R11 (shapes + breadboard): Deliver the ReAct library module with a builder that wires plain `async` tool handlers (`.tool("name","desc", fn)`) through two `Predict` leaves (action + extraction), reuses the shared adapter pipeline, and returns `CallOutcome` so the tool loop and augmentation stack live entirely in Layer 1/F11. -- `U48` (breadboard): Provide `dsrs::forward_all(&module, inputs, concurrency)` as an ergonomic batch helper that launches up to `max_concurrency` in-flight forwards, reports progress, and returns `Vec>` so the P1 caller can inspect per-input metadata without forcing new trait methods. -- `U51` (breadboard): Expose module combinators (e.g., `Module::map` plus a fallible `and_then`) so P1 users can wrap an existing `Module` with a closure instead of writing `impl Module`; the combinators must remain Facet-transparent (the walker sees the inner module) and preserve `CallOutcome` metadata. - -### Existing Code Inventory -- `pub trait Module: Send + Sync { type Input: Send + Sync + 'static; type Output: Send + Sync + 'static; async fn forward(&self, input: Self::Input) -> CallOutcome; }` — `crates/dspy-rs/src/core/module.rs:8-14` -- `#[tracing::instrument(...)] pub async fn forward_all(module: &M, inputs: Vec, max_concurrency: usize, display_progress: bool) -> Vec> where M: Module + ?Sized` — `crates/dspy-rs/src/core/module.rs:16-58` -- `pub struct CallOutcome { metadata: CallMetadata, result: Result }` plus `CallOutcome::ok`, `CallOutcome::err`, `CallOutcome::into_result`, and the `Deref` impl so every module returns a single `CallOutcome` surface with metadata; see `crates/dspy-rs/src/core/call_outcome.rs:24-225`. -- `pub struct Demo { pub input: S::Input, pub output: S::Output }` and `pub struct Predict { tools: Vec>, demos: Vec>, instruction_override: Option, _marker: PhantomData }` with `Predict::call(&self, input) -> CallOutcome` (instrumented via `#[tracing::instrument]`, `ChatAdapter`, LM invocation, and metadata gathering) and `Predict::builder()` — `crates/dspy-rs/src/predictors/predict.rs:19-213`. -- `pub struct PredictBuilder` with fluent helpers `demo`, `with_demos`, `add_tool`, `with_tools`, `instruction`, and `build` — `crates/dspy-rs/src/predictors/predict.rs:222-271`. -- `#[derive(Augmentation, Clone, Debug)] pub struct Reasoning { #[output] pub reasoning: String }` plus `pub type ChainOfThoughtOutput = WithReasoning<::Output>` — `crates/dspy-rs/src/modules/chain_of_thought.rs:9-17`. -- `pub struct ChainOfThought { predictor: Predict> }` with `ChainOfThought::new`, `call`, `Module` impl returning `CallOutcome>`, and `MetaSignature`/`Optimizable` impls that delegate to the inner `Predict` — `crates/dspy-rs/src/modules/chain_of_thought.rs:18-118`. -- `pub struct ChainOfThoughtBuilder` that proxies to `PredictBuilder>` via `demo`, `with_demos`, `add_tool`, `with_tools`, `instruction`, and `build` — `crates/dspy-rs/src/modules/chain_of_thought.rs:120-165`. - -### Gap Analysis -- `U14` (ReAct builder + tools): [NEW] No `ReAct` module exists yet. The only library module is `ChainOfThought`, so we need to add `ReAct` (two `Predict` leaves plus optional tool set), a builder that accepts plain async functions per R11 instead of just `ToolDyn`, wiring adapter building blocks for the action/extract loop, and exposing `CallOutcome` metadata in the same way `Predict` does. -- `U48` (`dsrs::forward_all`): [MODIFY] `crates/dspy-rs/src/core/module.rs:22` already provides batching semantics and returns `Vec>`, but the current API requires a fourth `display_progress: bool` argument. The slice spec surface is `forward_all(&module, inputs, concurrency)`; add/adjust API to meet that ergonomic contract while preserving current behavior. -- `U51` (`module.map/.and_then`): [NEW] There are no combinators yet. We must add `Map`/`AndThen` (or similar) wrappers, derive Facet while exposing the `inner: M` field, and implement `Module` so closures transform the inner result while preserving `CallOutcome` metadata. The spec mandates that the walker continue to see the inner module (manual Facet impl or `#[facet(flatten)]` on `inner`) even though closures are opaque. - -### Patterns & Conventions -- Fluent builders wrap `PredictBuilder` instances (`ChainOfThoughtBuilder::demo/with_tools/instruction` via `PredictBuilder`) and route final `build` through `Predict::builder()` — follow this pattern when crafting the `ReAct` builder so that demos, tools, and instructions reuse the same `Predict` plumbing (`crates/dspy-rs/src/modules/chain_of_thought.rs:120-165`). -- LM leaf modules keep a single return surface: `Predict::call` formats system/user messages via `ChatAdapter`, calls the LM, parses via `ChatAdapter::parse_response_typed`, and ultimately returns `CallOutcome` with rich `CallMetadata` (`crates/dspy-rs/src/predictors/predict.rs:63-213`). Any new module (including ReAct and combinators) should reuse `CallOutcome` rather than adding new result wrappers. -- Operational helpers use async streams + progress instrumentation: `forward_all` uses `futures::stream::buffer_unordered`, `tqdm!`, and `tracing::instrument` while sorting results to preserve input order (`crates/dspy-rs/src/core/module.rs:16-58`). New concurrency utilities or wrappers should follow the same observable behavior. - -### Spec Ambiguities -- The ReAct tool builder is described as accepting “plain Rust async functions” (`docs/specs/modules/shapes.md:R11`, `docs/specs/modules/breadboard.md:414`), but the current tool stack is built around `rig::tool::ToolDyn`. It’s unclear whether the builder should wrap `Fn(...) -> impl Future` (or `ToolOutcome`) into `ToolDyn`, or expose a dedicated `ToolSpec` that holds the name/description/function pair. -- `U51` mentions both `.map(|output| ...)` and an `.and_then(...)` for fallible transforms, yet the spec doesn’t say whether the closures operate on raw `Output`, on `CallOutcome`, or how `CallMetadata` should be forwarded. Do errors bubble up via `CallOutcomeError`, via `Result`, or should `and_then` accept `FnOnce(Output) -> CallOutcome` directly? -- The requirement that module combinators be “Facet-transparent” (breadboard boundary note) leaves open how to implement map/and_then structs: the closure field can’t derive `Facet`, so we need guidance on how to annotate the struct (e.g., `#[facet(skip)]` on the closure, manual Facet impl that only walks `inner`) and whether additional metadata (path prefix adjustments) is needed to keep the walker deterministic. - -### Recommended Approach -1. Build `ReAct` as a Facet-derived struct that owns two `Predict` leaves (`action`, `extract`) plus the tool registry, exposes a builder modeled on `ChainOfThoughtBuilder`, and implements `Module` by running the action/extract loop outlined in `docs/specs/modules/design_reference.md#12-library-modules`. The builder should accept demos/tools/instruction like the existing builders but also `.tool("name","desc", tool_fn)` that converts tool functions into `ToolDyn` (or a new thin wrapper) so the LM call can pass them to `lm.call`. Track metadata through the same `CallOutcome` path as `Predict::call`. -2. Reuse `dsrs::forward_all` for batching; no new helper is needed unless we discover new requirements during ReAct development. Keep the current progress instrumentation and sorted reassembly of results so batch behavior stays predictable for slice consumers. -3. Introduce module extensions such as `ModuleExt::map` / `and_then` that wrap an inner module and a closure. The wrapper struct should derive Facet (explicitly exposing `inner`; mark the closure `#[facet(skip)]` or hand-write `Facet` if necessary) so the optimizer still sees the `Predict` leaves. Implement `Module` for the wrapper by awaiting `inner.forward`, then applying the closure to the successful output (propagating `CallOutcome` errors unchanged) and returning a new `CallOutcome`. `and_then` can accept closures returning `CallOutcome` to let closures emit rich metadata when they themselves perform LM calls or validations. -4. As part of the implementation, revisit the `Module`/`CallOutcome` surface to ensure the new combinators and ReAct module reuse the existing builder/instrumentation patterns rather than duplicating state. Use the `CallOutcome` metadata API to funnel tool traces and parsing diagnostics all the way through the new wrappers. diff --git a/docs/plans/modules/slice_4_review.md b/docs/plans/modules/slice_4_review.md deleted file mode 100644 index 236dc8c1..00000000 --- a/docs/plans/modules/slice_4_review.md +++ /dev/null @@ -1,18 +0,0 @@ -### Findings -#### Finding 1 -Severity: high -Category: Shape compliance -Location: crates/dspy-rs/src/modules/react.rs:53-63 -Issue: The new `ReAct` struct is not deriving `facet::Facet`, so the optimizer’s Facet walker never learns about the `action` and `extract` `Predict` leaves. The design doc explicitly says module authors rely on `#[derive(Facet)]` to make their structure “the declaration” (Design Reference §1) and that ReAct must expose two discoverable `Predict` leaves (Design Reference §ReAct). Without the Facet shape, the optimizer cannot reach the leaf predictors, violating F6/F11 and preventing any higher-layer tooling from seeing ReAct internals. -Suggestion: Add `#[derive(facet::Facet)]` (and the necessary `#[facet(skip)]` annotations on `tools`/`max_steps`) so the walker can access `action`/`extract`. Keep the predictor fields public or `pub(crate)` and avoid wrapping them in non-Facet-friendly containers so that the derived shape exposes them as the Optimizer expects. - -#### Finding 2 -Severity: medium -Category: Spec fidelity -Location: crates/dspy-rs/src/modules/react.rs:82-157 -Issue: The ReAct action loop builds prompts by serializing the entire input with `serde_json::to_string`, manually assembling a `trajectory` string, and hard-coding the tool manifest. Design Reference §ReAct explicitly states “Action loop uses adapter building blocks (F7) for dynamic trajectory formatting.” Bypassing `ChatAdapter` / `SignatureSchema` means the action/extract prompts no longer follow the canonical “build system → format input/output → parse sections” pipeline, so the module cannot rely on adapters to handle flattening, instructions, demos, or the `[ [ ## field ## ] ]` framing that every other module uses. -Suggestion: Reuse the existing adapter helpers (`SignatureSchema::of::()`, `ChatAdapter::format_input_typed`, `parse_sections`, etc.) when formatting each action/extract prompt and preserve the canonical prompt text in `trajectory` rather than hand-rolled strings. That keeps ReAct in sync with the rest of the typed path and ensures the module benefits from the same field metadata, instructions, and demo formatting the spec mandates. - -### Summary -Severity counts: high=1, medium=1, low=0 -Overall assessment: The implementation delivers the operational surfaces, but to satisfy the ground-truth spec we must expose ReAct’s predictors through Facet and rebuild the action loop on the shared adapter helpers so prompts/metadata stay consistent with the rest of the module stack. diff --git a/docs/plans/modules/slice_5.md b/docs/plans/modules/slice_5.md deleted file mode 100644 index db67e78d..00000000 --- a/docs/plans/modules/slice_5.md +++ /dev/null @@ -1,43 +0,0 @@ -### Summary -Slice 5 delivers the optimizer-facing half of the breadboard: the F8 `DynPredictor` trait plus the F6 `named_parameters` walker so optimizers can mutate typed `Predict` leaves without `Optimizable` plumbing, and it exposes the P1→P3 entry point `optimizer.compile(&mut module, trainset, metric)` that retains the `Evaluator`-backed metric hook (U50) while wiring through the new walker/trait plumbing described in `docs/specs/modules/breadboard.md:91-147` and `docs/specs/modules/dspy_module_system_reference/06_optimizers.md:82-181`. - -### Implementation Steps -1. Introduce the dyn-predictor core helpers. - - Files: `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` [NEW], update `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:1-19` to expose it. - - Existing signature(s): `core/mod.rs` currently only re-exports `errors`, `predicted`, `lm`, `module`, `module_ext`, `schema`, `settings`, `signature`, `specials` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:1-19`). - - New signature(s): `[NEW] pub trait DynPredictor: Send + Sync { fn schema(&self) -> &SignatureSchema; fn instruction(&self) -> String; fn set_instruction(&mut self, instruction: String); fn demos_as_examples(&self) -> Vec; fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; fn dump_state(&self) -> PredictState; fn load_state(&mut self, state: PredictState) -> Result<()>; async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError>; }` plus `[NEW] pub struct PredictState { demos: Vec, instruction_override: Option }`, `[NEW] pub struct PredictAccessorFns { accessor: fn(*mut ()) -> *mut dyn DynPredictor }`, and `[NEW] pub enum NamedParametersError { Container { path: String, ty: &'static str }, MissingAttr { path: String } }` to surface the container-error requirement from `docs/specs/modules/breadboard.md:40-54`. - - Required imports: `use crate::{BamlValue, core::schema::SignatureSchema, data::example::Example, PredictError, Predicted}; use facet::{Attr, Def, Field}; use facet::define_attr_grammar;` so the new module can both describe the `dsrs::parameter` attribute (`define_attr_grammar!` from `docs/specs/modules/design_reference.md:128-134`) and house the visitor helpers. - - Other changes: capture the `#[facet(dsrs::parameter = ...)]` payload described by `docs/specs/modules/design_reference.md:605-774` by defining a typed grammar in `core/dyn_predictor.rs`, for example `facet::define_attr_grammar! { ns "dsrs"; crate_path $crate::core::dyn_predictor; pub enum Attr { Parameter(Option<&'static PredictAccessorFns>) } }`, and expose a helper to decode `PredictAccessorFns` from `&'static [facet::Attr]`. Exporting this module from `core/mod.rs` makes the walker and `Predict` implementations reachable to other crates. - -2. Upgrade `Predict` to carry the accessor payload and implement `DynPredictor`. - - Files: `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:31-535` (struct definition, `forward_untyped`, `MetaSignature`, `Optimizable`). - - Existing signature(s): `Predict` lives inside `#[derive(facet::Facet)] pub struct Predict { tools, demos, instruction_override, _marker }` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:31-41`). `forward_untyped` already exists at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`, and the `MetaSignature`/`Optimizable` shims still run at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:471-535`. - - New signature(s): add `[NEW] const ACCESSOR_FNS: PredictAccessorFns = PredictAccessorFns { accessor: Predict::::accessor };` and `[NEW] fn accessor(value: *mut ()) -> *mut dyn DynPredictor`, then attach the payload with `#[facet(dsrs::parameter = Some(&Self::ACCESSOR_FNS))]` on `Predict`. `Predict` also needs `[NEW] fn dump_state(&self) -> PredictState` / `[NEW] fn load_state(&mut self, state: PredictState) -> Result<()>` that reuse the existing `demo_from_example`/`example_from_demo` helpers (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:312-413`). Add `[NEW] impl DynPredictor for Predict` that forwards each method to the typed helpers and reuses `forward_untyped` for the async method (already implemented at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`). - - Required imports: bring `crate::core::{DynPredictor, PredictState}` and the conversion helpers from the surrounding file (`example_from_demo`, `demo_from_example`, `prediction_from_output`). `Predict::builder`, `Demo`, `CallMetadata`, etc., stay untouched. - - Other changes: keep the `MetaSignature`/`Optimizable` impls as compatibility shims but annotate them as migration debt (they will simply delegate to the new trait so current optimizer tests continue to compile, but the plan should note they are legacy paths slated for removal after V6). This avoids adding new migration scaffolding beyond what is required to keep `cargo test` green while the new flow ships. - -3. Implement the F6 walker that returns typed handles. - - Files: reuse `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` to host `[NEW] pub fn named_parameters(module: &mut M) -> Result, NamedParametersError>` plus helper `walk_fields`/`walk_value` that follow `facet::Shape::def` like `Def::Struct` and descend field order exactly as the spec demands (`docs/specs/modules/design_reference.md:546-599`). - - Existing signature(s): there is no `named_parameters` yet; discovery currently happens via `Optimizable::parameters()` chains such as `ChainOfThought::parameters` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`). - - New signature(s): `[NEW] pub fn named_parameters(module: &mut M) -> Result, NamedParametersError> where M: Module + for<'a> Facet<'a>;` with `#[tracing::instrument(level = "debug", name = "dsrs.named_parameters", skip(module))]` to expose predicate counts the same way existing `tracing` annotations do (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:57-205`). The helper will stop whenever it encounters a `Shape` that carries `dsrs::parameter`, append the accumulated dotted path (respecting struct nesting) and the attribute-decoded `PredictAccessorFns`, and return the handle cast to `&mut dyn DynPredictor`. If the recursion encounters a container with `dsrs::parameter` inside a `Vec`, `Option`, or `HashMap`, emit `NamedParametersError::Container` and add a TODO referencing S5 (`docs/specs/modules/breadboard.md:40-54`). - - Required imports: `use facet::{Def, Field}; use facet::FieldExt; use facet::Shape; use crate::{Facet, Module, DynPredictor};` plus the new attr helpers defined earlier. - - Other changes: re-export `named_parameters` from `core/mod.rs` so optimizers can call it via `crate::core::named_parameters`. Document in the plan that the walker is intentionally limited to struct fields for V5 and errors on containers so future S5 work can extend it without backtracking. - -4. Rewire the optimizer trait and implementations to use the new surface while keeping the current `Evaluator` metric surface as a temporary V5 debt item. - - Files: modify `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:11-24` (trait definition), `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/copro.rs:65-480`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mipro.rs:191-620`, and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:360-470` so every optimizer calls `named_parameters` instead of `module.parameters()`. - - Existing signature(s): `pub trait Optimizer { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Optimizable + Evaluator; }` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`). Each optimizer currently looks up predictors via `module.parameters()` before mutating them (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/copro.rs:95-276`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mipro.rs:191-385`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:446-470`). - - New signature(s): `[NEW] async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Evaluator + for<'a> Facet<'a>;` (drops `Optimizable`, adds `Facet`, keeps current Example/Prediction evaluator boundary for this slice so optimizer internals can migrate first). Internally each optimizer will call `crate::core::named_parameters(module)?` (or a helper that converts the `Vec` to a `HashMap` keyed by path) and use `DynPredictor::schema`, `instruction`, `set_instruction`, `demos_as_examples`, `set_demos_from_examples`, and `forward_untyped` instead of the legacy `MetaSignature` helpers. For example, `COPRO` will keep the existing instruction candidate loop but now calls `predictor.schema().output_fields()` instead of `predictor.get_signature().output_fields()`, and use `predictor.set_instruction(...)` via the new trait. The container of `ChainOfThought` `Optimizable` code is now unused by the new walker but remains as a migration debt shim until V6 (per `ChainOfThought::parameters` at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`). - - Required imports: add `use crate::core::{DynPredictor, named_parameters};` at the top of each optimizer file, keep `Example`, `Prediction`, `Evaluator` imports for the existing evaluation loops, and ensure `tracing` macros continue to report predictor counts. - - Other changes: arbitration outcome for this slice is to keep `Evaluator` as the `metric` provider because it already wraps `forward_all_with_progress` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/evaluate/evaluator.rs:1-34`), so U50 is satisfied via `Evaluator::metric` without adding a parallel callback argument. This is explicitly logged as migration debt against C4 typed-evaluator replacement, which is deferred to post-V5 cleanup to avoid duplicative churn while F6/F8 land. - -5. Ship regression coverage and validation notes for the new surface. - - Files: add `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters.rs`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_containers.rs`, `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs` (all [NEW]); optionally update `docs/specs/modules/breadboard.md`/`docs/specs/modules/design_reference.md` to reference the actual implementation once it ships. - - Existing signature(s): no tests currently cover `named_parameters`/`DynPredictor`; the only optimizer discovery tests still rely on `Optimizable` derives (`/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_optimizable.rs`). - - New signature(s): `[NEW] async fn named_parameters_chain_of_thought()` verifies `named_parameters` returns `("predictor", _)` for `ChainOfThought` and that mutating the handle’s instruction via `DynPredictor::set_instruction` changes the module’s output. `[NEW] fn named_parameters_container_error()` constructs a small `Facet` struct whose `Vec>` field triggers `NamedParametersError::Container`. `[NEW] async fn dyn_predictor_forward_untyped_returns_baml()` asserts that `DynPredictor::forward_untyped` delivers `Predicted` and preserves `CallMetadata` (reusing `Predict::forward_untyped` from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`). - - Required fixtures: reuse `ChainOfThought::::new()` for the positive test, a tiny `#[derive(Facet)] struct Container { list: Vec> }` for the container error, and a canned `BamlValue` (built from `QAInput::try_from_baml_value`) for the untyped-forward test. - - Other changes: document in the plan and tests that container errors follow `docs/specs/modules/breadboard.md:144-147`, so the error contains the offending `Vec`/`Option`/`HashMap` type and path, and leave a TODO referencing S5 for when container traversal becomes allowable. - -### Test Plan -1. `test_named_parameters_chain_of_thought` (`crates/dspy-rs/tests/test_named_parameters.rs`) — asserts `named_parameters(&mut ChainOfThought::::new())` returns a single path `"predictor"` whose handle can `set_instruction`/`instruction` and whose demos modify the underlying `Predict`. Setup: construct `ChainOfThought::::new()`, call `named_parameters`, mutate the first handle, run one forward pass, and verify the instruction override took effect. Expectation: walker returns the expected path, and the mutated instruction is reflected in the final prediction metadata. -2. `test_named_parameters_container_error` (`crates/dspy-rs/tests/test_named_parameters_containers.rs`) — asserts the walker returns `NamedParametersError::Container { path, ty }` when encountering a `Vec>` field; the path should mention the struct field name per the deterministic grammar, and `ty` should identify `Vec`. Setup: define a small `#[derive(Facet)] struct Container { #[facet(skip, opaque)] tools: Vec>; predictions: Vec> }` (with the second field carrying `dsrs::parameter` through `Predict`) and call `named_parameters` to trigger the error. Expectation: the error variant is returned rather than a panic, satisfying the S5 constraint. -3. `test_dyn_predictor_forward_untyped_returns_baml` (`crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs`) — asserts that calling `forward_untyped` on a `DynPredictor` handle returns `Predicted` whose metadata matches the typed `Predict` call. Setup: reuse the `named_parameters` call from test 1, build a `BamlValue` via `QAInput::try_from_baml_value`, and call `forward_untyped`. Expectation: the result contains `BamlValue` output, the metadata’s `CallMetadata::raw_response` is non-empty, and `Predicted::metadata()` matches the typed call’s metadata, proving the trait forwards correctly. diff --git a/docs/plans/modules/slice_5_refinery.md b/docs/plans/modules/slice_5_refinery.md deleted file mode 100644 index 7c4af22e..00000000 --- a/docs/plans/modules/slice_5_refinery.md +++ /dev/null @@ -1,17 +0,0 @@ -Spec fidelity – FAIL -- Plan nails the core F6/F8 pieces specified in the breadboard (U30→N18 discovery, U31 handles, U32–U37 DynPredictor calls) and the design reference instructions for `PredictAccessorFns`, `named_parameters`, and the trait shape walking, which keeps the new surface aligned with the layered architecture. However, the V5/C4 requirement recorded in `docs/plans/modules/phase_4_5_cleanup_kickoff.md:62` says the typed evaluator surface must replace the legacy `Evaluator: Module` contract. The current plan still depends on that trait and the old Example/Prediction bounds for `Optimizer::compile` while keeping `Evaluator` as the metric hook. That gap needs arbitration: do we evolve `Evaluator` as part of Slice 5 or leave the switchover to the post-V5 kill pass? - -Shape compliance – PASS -- The plan follows the shape-driven logic spelled out in the design reference: the walker recurses over `facet::Shape::def` structs only, stops at `dsrs::parameter`, emits dotted paths, and errors on containers (`Vec/Option/HashMap`) per the S5 deferral contract, with a `NamedParametersError` that surfaces the offending path/type. It also wires `Predict` to the attribute grammar described around doc lines 605‑774 so `PredictAccessorFns` is stored in the shape metadata, satisfying the S2 Mechanism A expectations for typed attr payloads. - -Breadboard consistency – PASS -- Slice 5 is explicitly the optimizer interface (F6+F8) in the breadboard, and the plan keeps that flow: Step 1 defines the DynPredictor bridge, Step 3 exposes `named_parameters` (U30) via `Facet` reflection, Step 4 rewires optimizers to use the new handles while preserving the P1→P3 `optimizer.compile(&mut module, trainset, metric)` entry (U50). The plan also documents the container error contract (breadboard N18/N21–N23) and ties the tests to the narrative (container error test referencing S5, forward_untyped test for N23). - -Sequencing – PASS -- The order is logical: establish the new helper module (Step 1), upgrade `Predict` to implement `DynPredictor` (Step 2), then add the walker (Step 3) before touching the optimizer wires (Step 4), and finally layer regression tests (Step 5). Each step builds on the previous outputs so there are no hidden dependencies or mid-flight rewrites. - -API design – FAIL -- While the plan modernizes the optimizer discovery surface, it still leaves `Optimizer::compile` bounded to `Module` and the legacy `Evaluator` trait. That contradicts the C4/Iv5 edict in `phase_4_5_cleanup_kickoff.md:62`, which says the typed evaluator surface should replace that trait. We need a clear decision on whether Slice 5 must introduce the new typed evaluator interface (and, if so, how the metric hook is surfaced) or if that substitution remains a later cleanup. Without that decision the API design remains inconsistent with the documented goal. - -Over-engineering – PASS -- The plan intends to keep migrations minimal (legacy `MetaSignature`/`Optimizable` shims marked as debt and untouched beyond necessary stubs) and avoids fascicle container traversal until a concrete use case appears, matching the breadboard encouragement to favor the shortest correct path. The new tests target only the required contract (struct-field discovery, container error, forward_untyped metadata), so there is no unnecessary scaffolding or speculative wiring. diff --git a/docs/plans/modules/slice_5_research.md b/docs/plans/modules/slice_5_research.md deleted file mode 100644 index 798ee2f8..00000000 --- a/docs/plans/modules/slice_5_research.md +++ /dev/null @@ -1,43 +0,0 @@ -### Spec Requirements -1. **F6 / U30–U31 / N18 (docs/specs/modules/breadboard.md:91-147):** Provide `named_parameters(&mut module)` that walks the Facet shapes for every `#[facet(dsrs::parameter)]` leaf, emits deterministic dotted paths, and returns `Vec<(String, &mut dyn DynPredictor)>` so optimizers can mutate predictors inside typed modules. -2. **F8 / U32–U37 / N21–N23 (docs/specs/modules/breadboard.md:112-147; docs/specs/modules/design_reference.md:717-768):** Define the `DynPredictor` trait that exposes schema/demos/instruction/state operations plus `forward_untyped(BamlValue)`, and wire `Predict` (and future library modules) through conversions `Demo ↔ Example` and `BamlValue ↔ S::Input` so the optimizer works with untyped examples while keeping the typed state consistent. -3. **U50 (docs/specs/modules/breadboard.md:56-91, docs/specs/modules/dspy_module_system_reference/06_optimizers.md:86-181):** Surface `optimizer.compile(&mut module, trainset, metric)` as the P1→P3 entry point that takes a `Vec` trainset (and an `Evaluator`/metric callback), locks `&mut Module`, and drives discovery + optimizer mutation via the new walker + `DynPredictor` handles. - -### Existing Code Inventory -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:9-18`: `pub trait Module: Send + Sync { type Input: BamlType + for<'a> Facet<'a> + Send + Sync; type Output: BamlType + for<'a> Facet<'a> + Send + Sync; async fn forward(&self, input: Self::Input) -> Result, PredictError>; async fn call(&self, input: Self::Input) -> Result, PredictError> { self.forward(input).await } }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:81-91`: `pub trait Optimizable { fn get_signature(&self) -> &dyn MetaSignature { todo!() } fn parameters(&mut self) -> IndexMap; fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { todo!() } }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs:23-32`: `pub trait MetaSignature: Send + Sync { fn demos(&self) -> Vec; fn set_demos(&mut self, demos: Vec) -> Result<()>; fn instruction(&self) -> String; fn input_fields(&self) -> Value; fn output_fields(&self) -> Value; fn update_instruction(&mut self, instruction: String) -> Result<()>; fn append(&mut self, name: &str, value: Value) -> Result<()>; }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/signature.rs:34-58`: `pub trait Signature: Send + Sync + 'static { type Input: BamlType + for<'a> Facet<'a> + Send + Sync; type Output: BamlType + for<'a> Facet<'a> + Send + Sync; fn instruction() -> &'static str; fn schema() -> &'static SignatureSchema where Self: Sized { SignatureSchema::of::() } fn input_shape() -> &'static Shape; fn output_shape() -> &'static Shape; fn input_field_metadata() -> &'static [FieldMetadataSpec]; fn output_field_metadata() -> &'static [FieldMetadataSpec]; fn output_format_content() -> &'static OutputFormatContent where Self: Sized { Self::schema().output_format() } }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:73-179`: `pub struct SignatureSchema { instruction: &'static str, input_fields: Box<[FieldSchema]>, output_fields: Box<[FieldSchema]>, output_format: Arc, }` and `impl SignatureSchema { pub fn of() -> &'static Self { ... build::() ... } fn build() -> Result { ... collect_fields(...) ... } pub fn input_fields(&self) -> &[FieldSchema]; pub fn output_fields(&self) -> &[FieldSchema]; ... }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:18-40`: `#[derive(facet::Facet)] pub struct Demo { pub input: S::Input, pub output: S::Output }` and `#[derive(facet::Facet)] pub struct Predict { #[facet(skip, opaque)] tools: Vec>, #[facet(skip, opaque)] demos: Vec>, instruction_override: Option, #[facet(skip, opaque)] _marker: PhantomData, }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:43-200`: `impl Predict { pub fn new() -> Self { ... } pub fn builder() -> PredictBuilder { ... } #[tracing::instrument(...)] pub async fn call(&self, input: S::Input) -> Result, PredictError> where S::Input: BamlType, S::Output: BamlType { ... } pub async fn forward(&self, input: S::Input) -> Result, PredictError> { self.call(input).await } }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:321-413`: conversion helpers `fn demo_from_example(example: Example) -> Result>`, `fn example_from_demo(demo: &Demo) -> Result`, and `fn prediction_from_output(output: &S::Output, lm_usage: LmUsage, node_id: Option) -> Result` that already convert between typed demos/output and the legacy `Example`/`Prediction` structs. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:415-468`: `impl Module for Predict where S: Signature + Clone, S::Input: BamlType, S::Output: BamlType { type Input = S::Input; type Output = S::Output; async fn forward(&self, input: S::Input) -> Result, PredictError> { Predict::call(self, input).await } }` and `impl Predict { pub async fn forward_untyped(&self, input: BamlValue) -> Result, PredictError> { ... } }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:471-535`: `impl MetaSignature for Predict { fn demos(&self) -> Vec { ... } fn set_demos(&mut self, demos: Vec) -> Result<()> { ... } fn instruction(&self) -> String { ... } fn input_fields(&self) -> Value { ... } fn output_fields(&self) -> Value { ... } fn update_instruction(&mut self, instruction: String) -> Result<()> { ... } fn append(&mut self, _name: &str, _value: Value) -> Result<()> { ... } }` and `impl Optimizable for Predict { fn get_signature(&self) -> &dyn MetaSignature { self } fn parameters(&mut self) -> IndexMap { IndexMap::new() } fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { ... } }`. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`: `impl Optimizable for ChainOfThought { fn get_signature(&self) -> &dyn MetaSignature { self } fn parameters(&mut self) -> IndexMap { let mut parameters = IndexMap::new(); parameters.insert("predictor".to_string(), &mut self.predictor as &mut dyn Optimizable); parameters } fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { self.predictor.update_signature_instruction(instruction) } }`, illustrating the current manual traversal that the new walker should replace. -- `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`: `pub trait Optimizer { async fn compile(&self, module: &mut M, trainset: Vec) -> Result<()> where M: Module + Optimizable + Evaluator; }` demonstrates the existing optimizer contract built on `Optimizable`/legacy metadata. - -### Gap Analysis -1. **F6 / U30–U31 / N18 (`named_parameters` walker)** - - [NEW] No `named_parameters` entry exists; current discovery relies on the old `Optimizable` trait and per-module overrides such as `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:114-135`. Implementing the Facet walker requires new visitor logic that inspects `Shape` metadata, detects `#[facet(dsrs::parameter)]`, formats deterministic dotted paths, and returns `Vec<(path, &mut dyn DynPredictor)>`. Container traversal remains deferred per S5 (errors when a Vec/Option/HashMap wraps a parameter). -2. **F8 / U32–U37 / N21–N23 (`DynPredictor` operations and conversions)** - - [NEW] The trait described in the spec does not exist yet. Implement `DynPredictor` (schema, instruction, demos, state, `forward_untyped`). `Predict` already stores demos/instruction and exposes conversions via `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:321-413`, so reuse those helpers, expand them for `dump_state`/`load_state`, and wire `Predict::forward_untyped` (`:415-468`) into the trait. `Predict` also already implements `MetaSignature`/`Optimizable` (`:471-535`), but those should be retained only for now while `DynPredictor` becomes the primary optimizer surface. -3. **U50 (`optimizer.compile` entry point)** - - [MODIFY] The current optimizer contract (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`) requires `Optimizable`/`Prediction`. Update it to accept `Module` returning `Predicted` results, replace `Optimizable` bounds with the new `named_parameters` + `DynPredictor` handles, and ensure `trainset: Vec` plus the existing `Evaluator` (metric) are still passed through. Optimizer implementations (Copro, MIPRO, GEPA) must be refactored to call `named_parameters` and mutate `DynPredictor` handles rather than `MetaSignature`, while the `optimizer.compile(&mut module, ...)` surface drives that flow (U50). - -### Patterns & Conventions -- Facet metadata is tuned using `facet` attributes; `Predict` hides non-parameter fields with `#[facet(skip, opaque)]` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:31-41`), so new discovery code should rely on those flags and emit handles only from `#[facet(dsrs::parameter)]` leaves. -- Async entry points carry `tracing::instrument` annotations (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:57-205` and `:415-468`) with structured fields; follow this style when adding `named_parameters`/`DynPredictor` helpers so optimizer logging automatically surfaces names and counts. -- Schema values are cached via `OnceLock>>` and leaked with `Box::leak` to obtain `'static` slices (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:81-134`); new code that derives `SignatureSchema` for optimizer use should reuse the same caching pattern to avoid duplicate builds. - -### Spec Ambiguities -1. **Container traversal for optimizer discovery (S5):** The spec says the walker should error on containers whose inner type carries `dsrs::parameter` (`docs/specs/modules/breadboard.md:144-146`), but the S5 spike proposes a hybrid solution when needed. For V5, assume only struct-field recursion is required and make `named_parameters` emit a clear diagnostic before descending into Vec/Option/HashMap; add a TODO referencing S5 to revisit once a real container-based module appears. -2. **`optimizer.compile` parameters (`trainset`, `metric`):** Breadboard U50 mentions `trainset`/`metric`, while the existing Rust `Optimizer` trait takes `trainset: Vec` and bounds `M: Evaluator` (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:19-24`). Clarify that the metric is supplied via the existing `Evaluator` trait and the signature stays `compile(&mut module, trainset: Vec)`, with the new entry point layering on the same metric hook so downstream code does not duplicate the Python examples (docs/specs/modules/dspy_module_system_reference/06_optimizers.md:86-181). -3. **DynPredictor handle extraction (S2):** The mechanism depends on `Predict` exposing a `PredictAccessorFns` payload (`docs/specs/modules/design_reference.md:605-774`), but the spec does not spell out how to register that attribute today. Resolve by adding a `#[facet(attr = ...)]` payload in `Predict` so the walker can downcast to the accessor functions exactly like `WithAdapterFns`, and document the unsafe boundary for auditors. - -### Recommended Approach -1. **Define the optimizer bridge types:** Add a `DynPredictor` trait (schema, demos, instruction, state, `forward_untyped`) and a `PredictState` record for dump/load. Make `Predict` carry a `PredictAccessorFns` facet attribute (fn-pointer payload) and implement `DynPredictor` by reusing the conversion helpers already in `predict.rs` plus the new state getters/setters. -2. **Build the Facet walker:** Implement `named_parameters` (and helper `walk_value`) that inspects `value.shape()`, matches `Def::Struct`, recurses through fields, formats paths according to the deterministic grammar, and uses the facet accessor payload to obtain `&mut dyn DynPredictor`. Emit an error when encountering container definitions with `dsrs::parameter` until S5 is resolved. -3. **Wire optimizers to the new surface:** Update `Optimizer` trait implementations (Copro/MIPRO/GEPA) to call `named_parameters`, mutate `DynPredictor` handles (schema/demos/instruction/state), and use `forward_untyped` when they need untyped execution, instead of relying on `Optimizable`/`MetaSignature`. Keep legacy implementations around as shims until the new flow is stable. -4. **Expose `optimizer.compile` entry:** Provide the P1-facing `optimizer.compile(&mut module, trainset, metric)` hook that locks the module, fetches predictors via the walker, runs the chosen optimizer strategy, and returns after the mutator has finished. Tie the existing `Evaluator`/`Example` trainset types into this surface so the Python-inspired semantics are preserved. -5. **Validate with tests and docs:** Add unit tests that run `named_parameters` on a struct like `ChainOfThought`, verify the path list and handle mutability, and assert error behavior for container-wrapped predictors. Update docs/specs references (breadboard and design reference) to mention the new entry point and the fact that `DynPredictor` is the optimizer contract. Keep any remaining `MetaSignature`/`Optimizable` uses as compatibility snapshots until the cleanup pass after V5 + V6. diff --git a/docs/plans/modules/slice_5_review.md b/docs/plans/modules/slice_5_review.md deleted file mode 100644 index 505c3909..00000000 --- a/docs/plans/modules/slice_5_review.md +++ /dev/null @@ -1,50 +0,0 @@ -### Findings - -#### Finding 1 -- Severity: high -- Category: Spec fidelity -- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:181, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:45, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:45, /Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:559, /Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md:605 -- Issue: F6/F8 discovery is implemented via `shape.type_identifier == "Predict"` plus a global runtime accessor registry, but ground truth requires `dsrs::parameter` shape attributes with typed payload extraction (`PredictAccessorFns`) at discovery time (S2 Mechanism A). `Predict` is not marked with `#[facet(dsrs::parameter = ...)]`, so discovery is not truly attribute-driven. -- Suggestion: Implement a `dsrs` attr grammar, attach `PredictAccessorFns` on `Predict` shape metadata, switch walker detection to attr lookup (`dsrs::parameter`), and remove constructor-time global registration as the primary mechanism. - -#### Finding 2 -- Severity: high -- Category: Breadboard consistency -- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/mod.rs:22, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/evaluate/evaluator.rs:7, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:68, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:91, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:230 -- Issue: U50 specifies `optimizer.compile(&mut module, trainset, metric)`, but the implemented optimizer trait has no metric argument and is coupled to `Evaluator`, which enforces `Module`. This keeps compile on the legacy IO path and blocks direct optimization of typed modules used in the V5 flow. -- Suggestion: Expose metric explicitly in `compile` (or introduce a typed evaluator surface), and decouple optimizer compile bounds from `Module` so typed modules can be optimized in place through `named_parameters` + `DynPredictor`. - -#### Finding 3 -- Severity: medium -- Category: Breadboard consistency -- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:380, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/optimizer/gepa.rs:396 -- Issue: GEPA’s `Optimizer::compile` implementation always returns an error and requires callers to use a separate `compile_with_feedback` method. This breaks the uniform U50 entrypoint contract (`optimizer.compile(...)`) across optimizers. -- Suggestion: Make `compile` functional for GEPA by expressing required feedback capability in trait bounds (or optimizer trait design), not through a runtime bailout. - -#### Finding 4 -- Severity: medium -- Category: Shape compliance -- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:172, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:118, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:163, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:40, /Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md:62 -- Issue: Container guarding is explicit for `Vec`/`Option`/`HashMap` only. `Def::Pointer` (Box-like containers) is analyzed for nested parameters in `contains_parameter`, but it is outside the error gate and has no explicit unsupported error. This leaves a gap against the documented container-hole surface that includes Box-like containers. -- Suggestion: Add explicit pointer/Box handling in the container error boundary (or explicit unsupported diagnostics) until full S5 traversal semantics are implemented. - -#### Finding 5 -- Severity: low -- Category: Maintainability -- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters.rs:15, /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_containers.rs:21, /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:63, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:319, /Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md:445 -- Issue: Slice-5 tests validate core happy paths but do not cover full V5 behavior (notably `dump_state/load_state` persistence and richer multi-leaf discovery scenarios). -- Suggestion: Add tests for state roundtrip (`dump_state/load_state`), multi-leaf path discovery on composite modules, and deterministic path ordering across repeated traversals. - -#### Finding 6 -- Severity: low -- Category: Cleanliness -- Location: /Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/module.rs:82, /Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:550, /Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_optimizable.rs:1 -- Issue: Legacy `Optimizable`/`MetaSignature` APIs remain interleaved with the new `DynPredictor` path, keeping duplicate optimization surfaces and test debt active. -- Suggestion: Isolate legacy optimizer plumbing behind explicit compatibility boundaries (feature flag or deprecated module), and define a removal checkpoint once typed optimizer compile flow is complete. - -### Summary -- High: 2 -- Medium: 2 -- Low: 2 - -Overall assessment: Slice 5 landed important scaffolding (`DynPredictor`, walker, container erroring, optimizer wiring), but it does not yet match key ground-truth contracts for F6/F8/U50. The biggest gaps are discovery mechanism fidelity (attr payload vs type-name registry) and the compile entrypoint shape for typed P1→P3 optimization. diff --git a/docs/plans/modules/slice_6.md b/docs/plans/modules/slice_6.md deleted file mode 100644 index ddbf279c..00000000 --- a/docs/plans/modules/slice_6.md +++ /dev/null @@ -1,670 +0,0 @@ -## Current Scope Addendum (2026-02-11) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -All content below is preserved as a historical implementation record. - -### Summary -Slice 6 delivers the full V6 dynamic graph path on top of Slice 5: [NEW] `DynModule` + [NEW] strategy registry/factories, [NEW] `ProgramGraph` mutation/validation/execution, and typed-module projection with the locked snapshot-then-fit-back contract: [NEW] immutable `from_module(&module)` built on [NEW] `named_parameters_ref`, followed by [NEW] `graph.fit(&mut module)` for mutable write-back. This explicitly resolves the current API tension between existing mutable discovery (`/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72`) and design-time immutable projection, while keeping C8 locked to annotation-first edge derivation (no trace-inferred wiring in this slice). The implementation path stays shortest-correct: reuse the existing accessor bridge where possible, and record all spec-divergent shortcuts as migration debt. - -### Implementation Steps -1. Add immutable predictor discovery to support snapshot projection without mutably borrowing typed modules. - - Files to modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:33` - ```rust - pub struct PredictAccessorFns { - pub accessor: fn(*mut ()) -> *mut dyn DynPredictor, - } - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:48` - ```rust - pub fn register_predict_accessor( - shape: &'static Shape, - accessor: fn(*mut ()) -> *mut dyn DynPredictor, - ) - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72` - ```rust - pub fn named_parameters( - module: &mut M, - ) -> std::result::Result, NamedParametersError> - where - M: for<'a> Facet<'a>, - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:34` - ```rust - fn predict_dyn_accessor(value: *mut ()) -> *mut dyn DynPredictor - where - S: Signature, - ``` - - New signatures: - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` - ```rust - pub struct PredictAccessorFns { - pub accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, - pub accessor_ref: fn(*const ()) -> *const dyn DynPredictor, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` - ```rust - pub fn register_predict_accessor( - shape: &'static Shape, - accessor_mut: fn(*mut ()) -> *mut dyn DynPredictor, - accessor_ref: fn(*const ()) -> *const dyn DynPredictor, - ) - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs` - ```rust - pub fn named_parameters_ref( - module: &M, - ) -> std::result::Result, NamedParametersError> - where - M: for<'a> Facet<'a>, - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs` - ```rust - fn predict_dyn_accessor_ref(value: *const ()) -> *const dyn DynPredictor - where - S: Signature, - ``` - - Imports needed: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs`: add `use bamltype::facet_reflect::{Peek, Poke};` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs`: no new crate imports; update `register_predict_accessor(...)` call sites to pass mutable and immutable accessors. - - Existing code that must change: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:58` (`pub fn new() -> Self`) and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:288` (`pub fn build(self) -> Predict`) must register both accessor function pointers. - - Migration debt to record (explicit): - - [NEW] Slice 5 currently resolves predictor accessor functions via a global `ShapeId -> PredictAccessorFns` registry, while S2's preferred end-state is shape-local Facet attr payload decoding (`attr.get_as::()`). - - Arbitration resolution: - - Keep the global accessor registry bridge in V6 for shortest-correct delivery; do not migrate to shape-local attr payload decoding in this slice. - - Keep this as explicit migration debt for the post-implementation cleanup pass. - -2. Add schema cloning and field lookup APIs required by strategy factories and graph validation. - - Files to modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:74` - ```rust - pub struct SignatureSchema { - instruction: &'static str, - input_fields: Box<[FieldSchema]>, - output_fields: Box<[FieldSchema]>, - output_format: Arc, - } - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:139` - ```rust - pub fn input_fields(&self) -> &[FieldSchema] - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:143` - ```rust - pub fn output_fields(&self) -> &[FieldSchema] - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:166` - ```rust - pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> - ``` - - New signatures: - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` - ```rust - pub(crate) fn from_parts( - instruction: &'static str, - input_fields: Vec, - output_fields: Vec, - output_format: Arc, - ) -> Self - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` - ```rust - pub fn input_field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` - ```rust - pub fn output_field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs` - ```rust - pub fn with_fields( - &self, - input_fields: Vec, - output_fields: Vec, - ) -> Self - ``` - - Imports needed: - - Existing `use std::sync::{Arc, Mutex, OnceLock};` at `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:3` remains sufficient. - - Existing code that must change: - - Add `Clone` to `SignatureSchema` derive so factories can snapshot and transform schemas without mutating the global cache entry returned by `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:82` (`pub fn of() -> &'static Self`). - - Keep `from_parts` crate-private to avoid reintroducing manual public schema construction across P1/P2 boundaries (R3/R9). - -3. Add the dynamic strategy layer (`DynModule`, `StrategyFactory`, registry APIs) with inventory auto-registration. - - Files to create/modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/Cargo.toml` - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:2` - ```rust - pub mod dyn_predictor; - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:13` - ```rust - pub use dyn_predictor::*; - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/Cargo.toml:16` - ```toml - [dependencies] - ``` - - New signatures: - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` - ```rust - pub enum StrategyError { - UnknownStrategy { name: String }, - InvalidConfig { strategy: &'static str, reason: String }, - BuildFailed { strategy: &'static str, reason: String }, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` - ```rust - pub type StrategyConfig = serde_json::Value; - pub type StrategyConfigSchema = serde_json::Value; - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` - ```rust - #[async_trait::async_trait] - pub trait DynModule: Send + Sync { - fn schema(&self) -> &SignatureSchema; - fn predictors(&self) -> Vec<(&str, &dyn DynPredictor)>; - fn predictors_mut(&mut self) -> Vec<(&str, &mut dyn DynPredictor)>; - async fn forward( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError>; - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` - ```rust - pub trait StrategyFactory: Send + Sync { - fn name(&self) -> &'static str; - fn config_schema(&self) -> StrategyConfigSchema; - fn create( - &self, - base_schema: &SignatureSchema, - config: StrategyConfig, - ) -> std::result::Result, StrategyError>; - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` - ```rust - pub mod registry { - pub fn get(name: &str) -> std::result::Result<&'static dyn StrategyFactory, StrategyError>; - pub fn create( - name: &str, - schema: &SignatureSchema, - config: StrategyConfig, - ) -> std::result::Result, StrategyError>; - pub fn list() -> Vec<&'static str>; - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs` - ```rust - pub struct StrategyFactoryRegistration { - pub factory: &'static dyn StrategyFactory, - } - inventory::collect!(StrategyFactoryRegistration); - ``` - - Imports needed: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_module.rs`: `use crate::{BamlValue, PredictError, Predicted, SignatureSchema}; use crate::core::DynPredictor;` - - Add `inventory = "0.3"` under `/Users/darin/src/personal/DSRs/crates/dspy-rs/Cargo.toml` `[dependencies]` block. - - Existing code that must change: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` must add [NEW] `pub mod dyn_module;` and [NEW] `pub use dyn_module::*;`. - -4. Implement concrete schema-driven dynamic strategy modules and factories (`predict`, `chain_of_thought`, `react`) and register them. - - Files to create/modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` - - Execution order note: - - Implement Step 5 before this step. `SchemaPredictor` and dynamic factory modules depend on new untyped adapter helpers for prompt/parse parity. - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:11` - ```rust - pub trait DynPredictor: Send + Sync { - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:20` - ```rust - pub struct ChainOfThought { - predictor: Predict>, - } - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/react.rs:51` - ```rust - pub struct ReAct - where - S: Signature, - S::Input: BamlType + Clone, - S::Output: BamlType, - { - action: Predict, - extract: Predict>, - #[facet(skip, opaque)] - tools: Vec>, - #[facet(skip)] - max_steps: usize, - } - ``` - - New signatures: - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - pub struct SchemaPredictor { - schema: SignatureSchema, - demos: Vec, - instruction_override: Option, - tools: Vec>, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - #[async_trait::async_trait] - impl DynPredictor for SchemaPredictor { /* full DynPredictor surface */ } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - pub struct PredictDynModule { - schema: SignatureSchema, - predictor: SchemaPredictor, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - pub struct ChainOfThoughtDynModule { - schema: SignatureSchema, - predictor: SchemaPredictor, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - pub struct ReActDynModule { - schema: SignatureSchema, - action: SchemaPredictor, - extract: SchemaPredictor, - max_steps: usize, - tools: Vec>, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - pub struct PredictFactory; - pub struct ChainOfThoughtFactory; - pub struct ReActFactory; - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_factories.rs` - ```rust - inventory::submit! { StrategyFactoryRegistration { factory: &PredictFactory } } - inventory::submit! { StrategyFactoryRegistration { factory: &ChainOfThoughtFactory } } - inventory::submit! { StrategyFactoryRegistration { factory: &ReActFactory } } - ``` - - Imports needed: - - `use crate::core::{DynModule, DynPredictor, PredictState, StrategyConfig, StrategyConfigSchema, StrategyFactory, StrategyFactoryRegistration};` - - `use crate::{BamlValue, Chat, ChatAdapter, Example, PredictError, Predicted, SignatureSchema, GLOBAL_SETTINGS};` - - Existing code that must change: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` must add [NEW] `pub mod dyn_factories;` and [NEW] `pub use dyn_factories::*;`. - - Migration debt to record (explicit): - - [NEW] `ReActFactory` config parsing is JSON-first (`StrategyConfig = serde_json::Value`) and does not yet provide typed tool deserialization; tools remain runtime-provided. - -5. Add untyped adapter helpers so dynamic modules execute through the same prompt/parse path as typed modules. - - Files to modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:463` - ```rust - pub fn build_system( - &self, - schema: &crate::SignatureSchema, - instruction_override: Option<&str>, - ) -> Result - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:563` - ```rust - pub fn format_input( - &self, - schema: &crate::SignatureSchema, - input: &I, - ) -> String - where - I: BamlType + for<'a> facet::Facet<'a>, - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:654` - ```rust - pub fn parse_output_with_meta( - &self, - schema: &crate::SignatureSchema, - response: &Message, - ) -> std::result::Result<(O, IndexMap), ParseError> - where - O: BamlType + for<'a> facet::Facet<'a>, - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:968` - ```rust - fn value_for_path_relaxed<'a>( - value: &'a BamlValue, - path: &crate::FieldPath, - ) -> Option<&'a BamlValue> - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:998` - ```rust - fn insert_baml_at_path( - root: &mut bamltype::baml_types::BamlMap, - path: &crate::FieldPath, - value: BamlValue, - ) - ``` - - New signatures: - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` - ```rust - pub fn format_input_baml( - &self, - schema: &crate::SignatureSchema, - input: &BamlValue, - ) -> String - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` - ```rust - pub fn format_output_baml( - &self, - schema: &crate::SignatureSchema, - output: &BamlValue, - ) -> String - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` - ```rust - pub fn parse_output_baml_with_meta( - &self, - schema: &crate::SignatureSchema, - response: &Message, - ) -> std::result::Result<(BamlValue, IndexMap), ParseError> - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs` - ```rust - pub fn parse_output_baml( - &self, - schema: &crate::SignatureSchema, - response: &Message, - ) -> std::result::Result - ``` - - Imports needed: - - Existing imports in `chat.rs` already include `BamlValue`, `Message`, `IndexMap`, `FieldMeta`; no new external crate dependency needed. - - Existing code that must change: - - `value_for_path_relaxed` and `insert_baml_at_path` become `pub(crate)` helpers or stay private but are called by the new public BAML APIs. - -6. Implement `ProgramGraph` mutation/validation/execution and lock projection to immutable snapshot + mutable fit-back. - - Files to create/modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/trace/dag.rs:62` - ```rust - pub fn new() -> Self - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/trace/dag.rs:66` - ```rust - pub fn add_node( - &mut self, - node_type: NodeType, - inputs: Vec, - input_data: Option, - ) -> usize - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72` - ```rust - pub fn named_parameters( - module: &mut M, - ) -> std::result::Result, NamedParametersError> - where - M: for<'a> Facet<'a>, - ``` - - New signatures: - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub struct ProgramGraph { - nodes: indexmap::IndexMap, - edges: Vec, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub struct Node { - pub schema: SignatureSchema, - pub module: Box, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub struct Edge { - pub from_node: String, - pub from_field: String, - pub to_node: String, - pub to_field: String, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub enum GraphError { /* duplicate node, missing node, missing field, type mismatch, cycle, ambiguous sink, projection mismatch, execution */ } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - impl ProgramGraph { - pub fn new() -> Self; - pub fn add_node(&mut self, name: impl Into, node: Node) -> Result<(), GraphError>; - pub fn remove_node(&mut self, name: &str) -> Result; - pub fn connect( - &mut self, - from: &str, - from_field: &str, - to: &str, - to_field: &str, - ) -> Result<(), GraphError>; - pub fn replace_node(&mut self, name: &str, node: Node) -> Result<(), GraphError>; - pub fn insert_between( - &mut self, - from: &str, - to: &str, - inserted_name: impl Into, - inserted_node: Node, - from_field: &str, - to_field: &str, - ) -> Result<(), GraphError>; - pub async fn execute(&self, input: BamlValue) -> Result; - pub fn from_module(module: &M) -> Result - where - M: for<'a> Facet<'a>; - pub fn fit(&self, module: &mut M) -> Result<(), GraphError> - where - M: for<'a> Facet<'a>; - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub struct GraphEdgeAnnotation { - pub from_node: &'static str, - pub from_field: &'static str, - pub to_node: &'static str, - pub to_field: &'static str, - } - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub fn register_graph_edge_annotations( - shape: &'static facet::Shape, - annotations: &'static [GraphEdgeAnnotation], - ) - ``` - - [NEW] `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/program_graph.rs` - ```rust - pub trait TypeIrAssignabilityExt { - fn is_assignable_to(&self, to: &TypeIR) -> bool; - } - ``` - - Imports needed: - - `use crate::core::{named_parameters, named_parameters_ref, DynModule, DynPredictor, PredictState};` - - `use crate::{BamlValue, SignatureSchema, TypeIR};` - - `use indexmap::IndexMap;` - - `use std::collections::{HashMap, VecDeque};` - - Existing code that must change: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` must add [NEW] `pub mod program_graph;` and [NEW] `pub use program_graph::*;`. - - Concrete lock for this slice: - - `from_module(&module)` only snapshots predictor state via [NEW] `named_parameters_ref`. - - `fit(&mut module)` is the only mutable write-back path and applies node predictor state back to typed leaves by path. - - Edge derivation in `from_module` consumes only [NEW] registered annotations; no trace inference is implemented in V6. - - Arbitration resolution: - - Use a global edge-annotation registration table keyed by shape ID in V6 as the single annotation source. - - Do not mix sources (no concurrent shape-local attr decoding in this slice). - - Migration debt to record (explicit): - - [NEW] `TypeIrAssignabilityExt::is_assignable_to` starts conservative (exact match + optional-nullable widening + identical unions). Broader subtyping stays deferred debt until a native method exists on `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs:29` (`TypeIR`). - - [NEW] Edge annotations are runtime-registered in V6; migrating to shape-local Facet attr storage is deferred to cleanup. - -7. Wire crate exports and keep API discoverable from the current top-level re-export path. - - Files to modify: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs` - - Existing signatures (copied): - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/mod.rs:12` - ```rust - pub use errors::{ConversionError, ErrorClass, JsonishError, LmError, ParseError, PredictError}; - ``` - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs:16` - ```rust - pub use core::*; - ``` - - New signatures: - - [NEW] `pub mod dyn_module;` - - [NEW] `pub mod dyn_factories;` - - [NEW] `pub mod program_graph;` - - [NEW] `pub use dyn_module::*;` - - [NEW] `pub use dyn_factories::*;` - - [NEW] `pub use program_graph::*;` - - Imports needed: - - None (module wiring only). - - Existing code that must change: - - No `lib.rs` edits required because `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/lib.rs:16` already re-exports all of `core::*`. - -8. Add regression and acceptance tests for registry, graph mutation/validation, execution, and snapshot-fit projection. - - Files to create: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_ref.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_registry_dynamic_modules.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_projection_fit.rs` [NEW] - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_annotations.rs` [NEW] - - Existing signatures (copied) used by tests: - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72` (`named_parameters`) - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/predictors/predict.rs:58` (`pub fn new() -> Self`) - - `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/settings.rs:27` (`pub fn configure(lm: LM, adapter: impl Adapter + 'static)`). - - New signatures: - - [NEW] test fns listed in Test Plan below. - - Imports needed: - - Test files use existing test LM scaffolding types from `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:3-43` (`LM`, `LMClient`, `TestCompletionModel`, `ChatAdapter`, `configure`). - - Existing code that must change: - - None outside newly added tests. - -### Test Plan -1. [NEW] `named_parameters_ref_discovers_same_paths_as_named_parameters` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters_ref.rs` - - Asserts: - - [NEW] `named_parameters_ref(&module)` returns the same ordered path list as existing `named_parameters(&mut module)` from `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/dyn_predictor.rs:72`. - - [NEW] Immutable handles expose `instruction()` and `demos_as_examples()` but cannot mutate. - - Setup/fixtures: - - Reuse existing typed fixture pattern from `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_named_parameters.rs:7-37`. - - Expected behavior: - - Deterministic path parity and no mutable borrow requirement for projection-time discovery. - -2. [NEW] `registry_list_contains_predict_chain_of_thought_react` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_registry_dynamic_modules.rs` - - Asserts: - - [NEW] `registry::list()` includes `"predict"`, `"chain_of_thought"`, and `"react"`. - - [NEW] `registry::create(name, schema, config)` returns `Box` for each built-in strategy. - - Setup/fixtures: - - Use existing schema source `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/core/schema.rs:82` (`SignatureSchema::of::()`) via a local test signature. - - Expected behavior: - - Auto-registration works at link time and factories are instantiable by string name. - -3. [NEW] `program_graph_connect_rejects_type_mismatch` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` - - Asserts: - - [NEW] `ProgramGraph::connect(...)` returns [NEW] `GraphError::TypeMismatch` when source `TypeIR` is not assignable to target `TypeIR`. - - Setup/fixtures: - - Build two [NEW] `Node` values from two local test signatures with incompatible fields via `SignatureSchema::of::()`. - - Expected behavior: - - Invalid edges are rejected at insertion time; graph state remains unchanged. - -4. [NEW] `program_graph_replace_node_revalidates_incident_edges` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` - - Asserts: - - [NEW] `replace_node` fails when existing incoming/outgoing edges become incompatible. - - [NEW] On failure, original node and edges remain intact. - - Setup/fixtures: - - Start from a valid 2-node graph, then replace one node with incompatible schema. - - Expected behavior: - - Revalidation runs on all incident edges before commit. - -5. [NEW] `program_graph_insert_between_rewires_edge_and_preserves_validity` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_mutation.rs` - - Asserts: - - [NEW] `insert_between(...)` removes the direct `from -> to` edge and inserts two validated edges through the inserted node. - - [NEW] On validation failure, graph topology remains unchanged. - - Setup/fixtures: - - Start with a valid single edge graph, then insert a compatible node and an incompatible node. - - Expected behavior: - - F10 mutation affordance `insert_between` behaves atomically. - -6. [NEW] `program_graph_execute_routes_fields_topologically` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` - - Asserts: - - [NEW] Execution computes topological order and routes edge fields into downstream inputs. - - [NEW] Final returned `BamlValue` equals designated sink node output. - - Setup/fixtures: - - Use deterministic test LM fixture pattern from `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:27-43`. - - Build 3-node graph (`predict -> chain_of_thought -> predict`) with explicit edges. - - Expected behavior: - - Stable order, correct piping, no reliance on insertion order. - -7. [NEW] `program_graph_execute_cycle_errors` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` - - Asserts: - - [NEW] A cycle in edges returns [NEW] `GraphError::Cycle` before any node forward call. - - Setup/fixtures: - - Create 2 nodes and connect both directions. - - Expected behavior: - - Deterministic cycle rejection from topological-sort stage. - -8. [NEW] `from_module_snapshot_then_fit_roundtrip` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_projection_fit.rs` - - Asserts: - - [NEW] `ProgramGraph::from_module(&module)` succeeds without mutable borrow. - - [NEW] Mutating projected node predictor state does not mutate typed module immediately. - - [NEW] `graph.fit(&mut module)` applies updated predictor state back to the typed module. - - Setup/fixtures: - - Use a typed module fixture like `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/modules/chain_of_thought.rs:20` (`ChainOfThought`). - - Expected behavior: - - Lock is enforced: immutable projection + explicit mutable write-back. - -9. [NEW] `from_module_uses_annotation_edges_only` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_annotations.rs` - - Asserts: - - [NEW] With registered [NEW] `GraphEdgeAnnotation`s, `from_module` creates the exact annotated edges. - - [NEW] Without registered annotations, `from_module` creates nodes but no inferred edges. - - Setup/fixtures: - - Register annotations with [NEW] `register_graph_edge_annotations(...)` for a test module shape. - - Expected behavior: - - C8 lock holds: annotation-first only, trace inference deferred. - -10. [NEW] `typed_dynamic_prompt_parity_for_predict_and_chain_of_thought` - - File path: `/Users/darin/src/personal/DSRs/crates/dspy-rs/tests/test_program_graph_execution.rs` - - Asserts: - - [NEW] Dynamic `PredictDynModule` system/user prompt text matches typed path output from existing `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:463` (`build_system`) and `/Users/darin/src/personal/DSRs/crates/dspy-rs/src/adapter/chat.rs:563` (`format_input`) for equivalent schema/input. - - [NEW] Dynamic `ChainOfThoughtDynModule` prompt text matches typed `ChainOfThought` prompt text for equivalent base signature/input. - - Setup/fixtures: - - One signature fixture + canonical `BamlValue` input; construct both predict and chain-of-thought strategy nodes from the same base schema. - - Expected behavior: - - R8 parity is preserved for both identity strategy (`predict`) and transformed schema strategy (`chain_of_thought`). diff --git a/docs/plans/modules/slice_6_refinery.md b/docs/plans/modules/slice_6_refinery.md deleted file mode 100644 index 93ce8e2c..00000000 --- a/docs/plans/modules/slice_6_refinery.md +++ /dev/null @@ -1,59 +0,0 @@ -# Slice 6 Plan Refinery (Ground-Truth Check) - -## Current Scope Addendum (2026-02-11) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -All content below is preserved as a historical implementation record. - -Verified against: -- `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (including V6) -- `/Users/darin/src/personal/DSRs/docs/specs/modules/shapes.md` -- `/Users/darin/src/personal/DSRs/docs/specs/modules/dspy_module_system_reference/` -- `/Users/darin/src/personal/DSRs/docs/specs/modules/design_reference.md` -- `/Users/darin/src/personal/DSRs/docs/specs/modules/calling_convention_revision.md` -- `/Users/darin/src/personal/DSRs/docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md` -- `/Users/darin/src/personal/DSRs/docs/specs/modules/spikes/S5-facet-walker-containers.md` -- `/Users/darin/src/personal/DSRs/docs/specs/modules/spikes/S8-facet-flatten-metadata.md` - -## Per-Criterion Findings - -### 1. Spec fidelity: **FAIL** -- The plan now covers core V6 obligations (F9/F10): registry/factories, graph mutation/validation/execution, typed projection, and explicit snapshot-then-fit-back (`from_module` + `fit`). -- Calling-convention alignment is preserved (`Result, PredictError>` for dynamic forward surfaces). -- Remaining mismatch vs ground truth: S2's preferred mechanism is shape-local Facet attr payload decoding for accessor handles; current plan intentionally keeps the global accessor registry bridge and records it as migration debt. -- Remaining mismatch vs C8 implementation detail: edge-annotation storage mechanism (shape-local attrs vs global registry) is not resolved; the plan now marks this explicitly for arbitration. - -### 2. Shape compliance: **FAIL** -- Good: `DynModule`, `StrategyFactory`, `ProgramGraph`, and edge-validation surfaces match Shape F9/F10 intent. -- Good: `SignatureSchema::from_parts` was tightened to `pub(crate)` to avoid reopening public manual schema authoring, which helps R3/R9 boundaries. -- Blocking uncertainty remains on two shape-level mechanisms: - - Predictor accessor extraction path (S2 mechanism A vs registry bridge). - - Edge-annotation storage location for C8. - -### 3. Breadboard consistency: **PASS** -- The plan now explicitly respects owner-resolved lock semantics: - - Immutable projection: `ProgramGraph::from_module(&module)`. - - Explicit mutable application: `graph.fit(&mut module)`. -- C8 lock is explicit: annotation-first edge derivation, no trace inference in V6. -- Added `insert_between` coverage so F10 mutation affordances are not under-specified. - -### 4. Sequencing: **PASS** -- Original hidden dependency (dynamic factories needing untyped adapter helpers) is now addressed with explicit execution ordering: implement adapter helper step before factory implementations. -- Remaining step order is coherent: discovery/schema → dynamic trait layer → adapter untyped helpers → factory modules → graph → exports → tests. - -### 5. API design: **PASS** -- Public dynamic registry/factory APIs now use typed errors (`StrategyError`) instead of unscoped `anyhow::Result`. -- Added missing `format_output_baml(...)` helper for dynamic demo formatting parity, which completes the adapter-building-block surface for untyped execution. -- Parity tests now include both identity strategy (`predict`) and transformed strategy (`chain_of_thought`). - -### 6. Over-engineering: **PASS** -- Scope stays focused on V6: only `predict`, `chain_of_thought`, and `react` factories are planned. -- Public migration scaffolding was reduced (`from_parts` no longer public). -- Shortcuts that intentionally diverge from end-state spec are called out as migration debt instead of hidden complexity. - -## Arbitration Required Before Coding -- Resolved: keep the global accessor registry bridge for V6; defer shape-local Facet attr payload decoding migration to post-implementation cleanup debt. -- Resolved: use the global edge-annotation registry keyed by shape ID in V6 as the single annotation source; defer shape-local annotation storage migration to cleanup debt. diff --git a/docs/plans/modules/slice_6_research.md b/docs/plans/modules/slice_6_research.md deleted file mode 100644 index b38dcbc0..00000000 --- a/docs/plans/modules/slice_6_research.md +++ /dev/null @@ -1,571 +0,0 @@ -## Current Scope Addendum (2026-02-11) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -All content below is preserved as a historical implementation record. - -### Spec Requirements -- U38: Implement `registry::create(name, &schema, config)` to return `Box`. -- U39: Implement `registry::list()` to return registered strategy names. -- U40: Implement `DynModule::predictors()` and `DynModule::predictors_mut()` to expose internal `DynPredictor` handles. -- U41: Implement `ProgramGraph::new()` with empty node/edge stores. -- U42: Implement `ProgramGraph::add_node(name, node) -> Result`. -- U43: Implement `ProgramGraph::connect(from, from_field, to, to_field) -> Result` with edge validation. -- U44: Implement `ProgramGraph::replace_node(name, node) -> Result` with re-validation of affected edges. -- U45: Implement `ProgramGraph::execute(input).await -> Result`. -- U46: Implement `ProgramGraph::from_module(&module) -> ProgramGraph` reusing the F6 walker. -- N17: Strategy factories must transform `SignatureSchema` (reasoning prepend, action/extract schema shaping, etc.). -- N24: Edge insertion/replacement must validate field type compatibility via `TypeIR::is_assignable_to(&to_type)` semantics. -- N25: Graph execution must compute topological order from `nodes` + `edges`. -- N26: Graph execution must pipe `BamlValue` output fields into downstream input fields by edges. -- N27: Strategy factories must auto-register at link time (inventory-style distributed registration). -- F9: Provide `DynModule` and `StrategyFactory` as the dynamic strategy layer. -- F10: Provide `ProgramGraph`, `Node`, and `Edge` with graph mutation APIs (`add_node`, `remove_node`, `replace_node`, `connect`, `insert_between`) and execution. -- R7: Dynamic graph must be constructable, mutable, validated, and executable. -- R8: Typed modules and dynamic graph nodes must produce identical prompts for the same logical signature. -- R14: Dynamic nodes must be instantiable from a name+schema+config strategy registry. -- Design §10: Registry must expose `get`, `create`, and `list`; factories define `name`, `config_schema`, and `create`. -- Design §11: Program graph nodes hold `(schema, module)`, edges are typed field routes, and execution delegates node internals to `DynModule::forward`. - -### Existing Code Inventory -- [Module] `pub mod dyn_predictor;` — `crates/dspy-rs/src/core/mod.rs:2` -- [Module] `pub mod module;` — `crates/dspy-rs/src/core/mod.rs:5` -- [Module] `mod schema;` — `crates/dspy-rs/src/core/mod.rs:7` -- [Module] `pub mod signature;` — `crates/dspy-rs/src/core/mod.rs:9` -- [Module] `pub mod chain_of_thought;` — `crates/dspy-rs/src/modules/mod.rs:1` -- [Module] `pub mod react;` — `crates/dspy-rs/src/modules/mod.rs:2` -- [Module] `pub mod dag;` — `crates/dspy-rs/src/trace/mod.rs:2` -- [Module] `pub mod executor;` — `crates/dspy-rs/src/trace/mod.rs:3` - -- [Trait] `crates/dspy-rs/src/core/module.rs:9` -```rust -pub trait Module: Send + Sync { - type Input: BamlType + for<'a> Facet<'a> + Send + Sync; - type Output: BamlType + for<'a> Facet<'a> + Send + Sync; - - async fn forward(&self, input: Self::Input) -> Result, PredictError>; - - async fn call(&self, input: Self::Input) -> Result, PredictError> { - self.forward(input).await - } -} -``` - -- [Trait] `crates/dspy-rs/src/core/module.rs:82` -```rust -pub trait Optimizable { - fn get_signature(&self) -> &dyn MetaSignature { - todo!() - } - - fn parameters(&mut self) -> IndexMap; - - fn update_signature_instruction(&mut self, instruction: String) -> anyhow::Result<()> { - todo!() - } -} -``` - -- [Trait] `crates/dspy-rs/src/core/dyn_predictor.rs:11` -```rust -pub trait DynPredictor: Send + Sync { - fn schema(&self) -> &SignatureSchema; - fn instruction(&self) -> String; - fn set_instruction(&mut self, instruction: String); - fn demos_as_examples(&self) -> Vec; - fn set_demos_from_examples(&mut self, demos: Vec) -> Result<()>; - fn dump_state(&self) -> PredictState; - fn load_state(&mut self, state: PredictState) -> Result<()>; - async fn forward_untyped( - &self, - input: BamlValue, - ) -> std::result::Result, PredictError>; -} -``` - -- [Type] `crates/dspy-rs/src/core/dyn_predictor.rs:26` -```rust -pub struct PredictState { - pub demos: Vec, - pub instruction_override: Option, -} -``` - -- [Type] `crates/dspy-rs/src/core/dyn_predictor.rs:33` -```rust -pub struct PredictAccessorFns { - pub accessor: fn(*mut ()) -> *mut dyn DynPredictor, -} -``` - -- [Function] `crates/dspy-rs/src/core/dyn_predictor.rs:48` -```rust -pub fn register_predict_accessor( - shape: &'static Shape, - accessor: fn(*mut ()) -> *mut dyn DynPredictor, -) -``` - -- [Type] `crates/dspy-rs/src/core/dyn_predictor.rs:60` -```rust -pub enum NamedParametersError { - Container { path: String, ty: &'static str }, - MissingAttr { path: String }, -} -``` - -- [Function] `crates/dspy-rs/src/core/dyn_predictor.rs:72` -```rust -pub fn named_parameters( - module: &mut M, -) -> std::result::Result, NamedParametersError> -where - M: for<'a> Facet<'a>, -``` - -- [Trait] `crates/dspy-rs/src/core/signature.rs:34` -```rust -pub trait Signature: Send + Sync + 'static { - type Input: BamlType + for<'a> Facet<'a> + Send + Sync; - type Output: BamlType + for<'a> Facet<'a> + Send + Sync; - - fn instruction() -> &'static str; - - fn schema() -> &'static SignatureSchema - where - Self: Sized, - { - SignatureSchema::of::() - } - - fn input_shape() -> &'static Shape; - fn output_shape() -> &'static Shape; - - fn input_field_metadata() -> &'static [FieldMetadataSpec]; - fn output_field_metadata() -> &'static [FieldMetadataSpec]; - - fn output_format_content() -> &'static OutputFormatContent - where - Self: Sized, - { - Self::schema().output_format() - } -} -``` - -- [Type] `crates/dspy-rs/src/core/schema.rs:52` -```rust -pub struct FieldSchema { - pub lm_name: &'static str, - pub rust_name: String, - pub docs: String, - pub type_ir: TypeIR, - pub shape: &'static Shape, - pub path: FieldPath, - pub constraints: &'static [ConstraintSpec], - pub format: Option<&'static str>, -} -``` - -- [Type] `crates/dspy-rs/src/core/schema.rs:74` -```rust -pub struct SignatureSchema { - instruction: &'static str, - input_fields: Box<[FieldSchema]>, - output_fields: Box<[FieldSchema]>, - output_format: Arc, -} -``` - -- [Function] `crates/dspy-rs/src/core/schema.rs:82` -```rust -pub fn of() -> &'static Self -``` - -- [Function] `crates/dspy-rs/src/core/schema.rs:139` -```rust -pub fn input_fields(&self) -> &[FieldSchema] -``` - -- [Function] `crates/dspy-rs/src/core/schema.rs:143` -```rust -pub fn output_fields(&self) -> &[FieldSchema] -``` - -- [Function] `crates/dspy-rs/src/core/schema.rs:151` -```rust -pub fn navigate_field<'a>( - &self, - path: &FieldPath, - root: &'a BamlValue, -) -> Option<&'a BamlValue> -``` - -- [Function] `crates/dspy-rs/src/core/schema.rs:166` -```rust -pub fn field_by_rust<'a>(&'a self, rust_name: &str) -> Option<&'a FieldSchema> -``` - -- [Type] `crates/dspy-rs/src/predictors/predict.rs:47` -```rust -pub struct Predict { - #[facet(skip, opaque)] - tools: Vec>, - #[facet(skip, opaque)] - demos: Vec>, - instruction_override: Option, - #[facet(skip, opaque)] - _marker: PhantomData, -} -``` - -- [Function] `crates/dspy-rs/src/predictors/predict.rs:34` -```rust -fn predict_dyn_accessor(value: *mut ()) -> *mut dyn DynPredictor -where - S: Signature, -``` - -- [Function] `crates/dspy-rs/src/predictors/predict.rs:58` -```rust -pub fn new() -> Self -``` - -- [Function] `crates/dspy-rs/src/predictors/predict.rs:472` -```rust -pub async fn forward_untyped( - &self, - input: BamlValue, -) -> Result, PredictError> -``` - -- [Impl] `crates/dspy-rs/src/predictors/predict.rs:494` -```rust -impl DynPredictor for Predict -where - S: Signature, - S::Input: BamlType, - S::Output: BamlType, -``` - -- [Type] `crates/dspy-rs/src/modules/chain_of_thought.rs:20` -```rust -pub struct ChainOfThought { - predictor: Predict>, -} -``` - -- [Function] `crates/dspy-rs/src/modules/chain_of_thought.rs:25` -```rust -pub fn new() -> Self -``` - -- [Impl] `crates/dspy-rs/src/modules/chain_of_thought.rs:62` -```rust -impl Module for ChainOfThought -where - S: Signature + Clone, - S::Input: BamlType, - S::Output: BamlType, -``` - -- [Type] `crates/dspy-rs/src/modules/react.rs:51` -```rust -pub struct ReAct -where - S: Signature, - S::Input: BamlType + Clone, - S::Output: BamlType, -{ - action: Predict, - extract: Predict>, - #[facet(skip, opaque)] - tools: Vec>, - #[facet(skip)] - max_steps: usize, -} -``` - -- [Function] `crates/dspy-rs/src/modules/react.rs:71` -```rust -pub fn new() -> Self -``` - -- [Impl] `crates/dspy-rs/src/modules/react.rs:243` -```rust -impl Module for ReAct -where - S: Signature, - S::Input: BamlType + Clone, - S::Output: BamlType, -``` - -- [Function] `crates/dspy-rs/src/modules/react.rs:309` -```rust -pub fn tool( - mut self, - name: impl Into, - description: impl Into, - tool_fn: F, -) -> Self -where - F: Fn(String) -> Fut + Send + Sync + 'static, - Fut: Future + Send + 'static, -``` - -- [Type] `crates/dspy-rs/src/adapter/chat.rs:25` -```rust -pub struct ChatAdapter; -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:463` -```rust -pub fn build_system( - &self, - schema: &crate::SignatureSchema, - instruction_override: Option<&str>, -) -> Result -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:563` -```rust -pub fn format_input( - &self, - schema: &crate::SignatureSchema, - input: &I, -) -> String -where - I: BamlType + for<'a> facet::Facet<'a>, -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:654` -```rust -pub fn parse_output_with_meta( - &self, - schema: &crate::SignatureSchema, - response: &Message, -) -> std::result::Result<(O, IndexMap), ParseError> -where - O: BamlType + for<'a> facet::Facet<'a>, -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:824` -```rust -pub fn parse_output( - &self, - schema: &crate::SignatureSchema, - response: &Message, -) -> std::result::Result -where - O: BamlType + for<'a> facet::Facet<'a>, -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:836` -```rust -pub fn parse_sections(content: &str) -> IndexMap -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:968` -```rust -fn value_for_path_relaxed<'a>( - value: &'a BamlValue, - path: &crate::FieldPath, -) -> Option<&'a BamlValue> -``` - -- [Function] `crates/dspy-rs/src/adapter/chat.rs:998` -```rust -fn insert_baml_at_path( - root: &mut bamltype::baml_types::BamlMap, - path: &crate::FieldPath, - value: BamlValue, -) -``` - -- [Type] `crates/dspy-rs/src/trace/dag.rs:5` -```rust -pub enum NodeType { - Root, - Predict { signature_name: String }, - Operator { name: String }, - Map { mapping: Vec<(String, (usize, String))> }, -} -``` - -- [Type] `crates/dspy-rs/src/trace/dag.rs:36` -```rust -pub struct Node { - pub id: usize, - pub node_type: NodeType, - pub inputs: Vec, - pub output: Option, - pub input_data: Option, -} -``` - -- [Type] `crates/dspy-rs/src/trace/dag.rs:57` -```rust -pub struct Graph { - pub nodes: Vec, -} -``` - -- [Function] `crates/dspy-rs/src/trace/dag.rs:62` -```rust -pub fn new() -> Self -``` - -- [Function] `crates/dspy-rs/src/trace/dag.rs:66` -```rust -pub fn add_node( - &mut self, - node_type: NodeType, - inputs: Vec, - input_data: Option, -) -> usize -``` - -- [Type] `crates/dspy-rs/src/trace/executor.rs:6` -```rust -pub struct Executor { - pub graph: Graph, -} -``` - -- [Function] `crates/dspy-rs/src/trace/executor.rs:15` -```rust -pub async fn execute(&self, root_input: Example) -> Result> -``` - -- [Type] `crates/bamltype/src/facet_ext.rs:21` -```rust -pub struct WithAdapterFns { - pub type_ir: fn() -> TypeIR, - pub register: AdapterRegisterFn, - pub apply: AdapterApplyFn, -} -``` - -- [Function] `crates/bamltype/src/facet_ext.rs:41` -```rust -pub fn with_adapter_fns(attrs: &'static [facet::Attr]) -> Option<&'static WithAdapterFns> -``` - -- [Type Alias] `vendor/baml/crates/baml-types/src/ir_type/mod.rs:127` -```rust -pub type TypeIR = TypeGeneric; -``` - -- [Function] `vendor/baml/crates/baml-types/src/ir_type/mod.rs:136` -```rust -pub fn diagnostic_repr(&self) -> TypeIRDiagnosticRepr<'_> -``` - -- [Function] `crates/dspy-rs/src/core/settings.rs:20` -```rust -pub static GLOBAL_SETTINGS: LazyLock>> = - LazyLock::new(|| RwLock::new(None)); -``` - -### Gap Analysis -- U38 `registry::create(name, &schema, config)` - - [EXISTS] `crates/dspy-rs/src/core/schema.rs:74` — `SignatureSchema` exists and is used across typed path. - - [NEW] — Add `DynModule`, `StrategyFactory`, `StrategyConfig`, `StrategyConfigSchema`, and `registry::create` surface. -- U39 `registry::list()` - - [NEW] — Add global strategy registry store and list API. -- U40 `dyn_module.predictors()/predictors_mut()` - - [EXISTS] `crates/dspy-rs/src/core/dyn_predictor.rs:11` — `DynPredictor` trait exists. - - [NEW] — Add `DynModule` trait exposing predictor handles. -- U41 `ProgramGraph::new()` - - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:62` — existing graph constructor pattern. - - [NEW] — Add dedicated `ProgramGraph` type for dynamic modules. -- U42 `graph.add_node(name, node)` - - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:66` — add-node pattern exists on trace graph. - - [NEW] — Add named-node insertion for `ProgramGraph` with schema/module node payload. -- U43 `graph.connect(from, from_field, to, to_field)` - - [NEW] — Add edge model and connect API. - - [NEW] — Add type-compatibility check routine for field-to-field wiring. -- U44 `graph.replace_node(name, node)` - - [NEW] — Add node replacement semantics and incident-edge revalidation. -- U45 `graph.execute(input).await -> Result` - - [EXISTS] `crates/dspy-rs/src/trace/executor.rs:15` — async graph executor scaffold exists (for trace replay, not typed dynamic modules). - - [NEW] — Add real dynamic graph execution (node invocation + BamlValue routing + error handling). -- U46 `ProgramGraph::from_module(&module)` - - [EXISTS] `crates/dspy-rs/src/core/dyn_predictor.rs:72` — walker already yields `(path, &mut dyn DynPredictor)`. - - [MODIFY] `crates/dspy-rs/src/core/dyn_predictor.rs:72` — current walker requires `&mut`; design example uses `&module` and dynamic projection likely needs non-mutating discovery path or explicit mutable API decision. - - [NEW] — Add predictor-to-node adapter (`DynPredictor` wrapper implementing `DynModule`) and projection builder. -- N17 schema transformation in factories - - [EXISTS] `crates/dspy-rs/src/modules/chain_of_thought.rs:21` and `crates/dspy-rs/src/modules/react.rs:57` — typed strategies already encode transformed signatures internally. - - [MODIFY] `crates/dspy-rs/src/core/schema.rs:74` — add schema transformation helpers (copy/update output/input fields) suitable for factory-time mutation. -- N24 `TypeIR::is_assignable_to(&to_type)` validation - - [EXISTS] `vendor/baml/crates/baml-types/src/ir_type/mod.rs:127` — `TypeIR` type exists. - - [NEW] — Add assignability function (method or graph-local helper); no such method exists today. -- N25 topological sort - - [EXISTS] `crates/dspy-rs/src/trace/executor.rs:16` — current executor assumes topological order but does not compute it. - - [NEW] — Implement deterministic topological sort + cycle detection for `ProgramGraph`. -- N26 BamlValue piping - - [EXISTS] `crates/dspy-rs/src/adapter/chat.rs:968` and `crates/dspy-rs/src/adapter/chat.rs:998` — path-based BamlValue read/write utilities already exist (currently private to adapter). - - [MODIFY] `crates/dspy-rs/src/adapter/chat.rs:968` — extract/share path read/write utility or duplicate in graph module for edge piping. - - [NEW] — Graph execution-time input assembly by incoming edges. -- N27 inventory auto-registration - - [NEW] — Add `inventory`-based registration type and collection for `StrategyFactory`. -- R7 dynamic graph construct/validate/mutate/execute - - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:57` and `crates/dspy-rs/src/trace/executor.rs:15` — graph-shaped scaffolding exists. - - [NEW] — Implement dynamic module graph domain types and behaviors from F10. -- R8 typed/dynamic prompt parity - - [EXISTS] `crates/dspy-rs/src/adapter/chat.rs:463` and `crates/dspy-rs/src/adapter/chat.rs:563` and `crates/dspy-rs/src/adapter/chat.rs:654` — schema-based prompt/parse building blocks exist. - - [NEW] — Ensure all `DynModule` implementations route through these same `ChatAdapter` schema APIs. -- R14 registry instantiation by name + schema + config - - [NEW] — Registry/factory/config contract is not implemented yet. -- F9 (`DynModule` + `StrategyFactory` + registry) - - [EXISTS] `crates/dspy-rs/src/core/dyn_predictor.rs:11` — lower-level predictor abstraction is in place. - - [NEW] — Add full dynamic-module/factory/registry layer. -- F10 (`ProgramGraph` + Node/Edge + mutation + execution) - - [EXISTS] `crates/dspy-rs/src/trace/dag.rs:57` — graph data structure precedent exists. - - [NEW] — Add dedicated `ProgramGraph` types/APIs (`remove_node`, `insert_between`, `connect`, `replace_node`, `execute`, projection). - -### Patterns & Conventions -- Trait-first architecture with typed core + erased boundary: - - `crates/dspy-rs/src/core/module.rs:9` (`Module`), `crates/dspy-rs/src/core/dyn_predictor.rs:11` (`DynPredictor`), `crates/dspy-rs/src/predictors/predict.rs:494` (typed `Predict` implements erased trait). -- Global singleton state uses lock + lazy init: - - `crates/dspy-rs/src/core/schema.rs:83` (`OnceLock>>` cache), `crates/dspy-rs/src/core/settings.rs:20` (`LazyLock>>`). -- Deterministic traversal and ordering are tested and expected: - - `crates/dspy-rs/src/core/dyn_predictor.rs:111` (struct field order walk), `crates/dspy-rs/tests/test_named_parameters.rs:112` (deterministic order test). -- Explicitly unsupported paths are surfaced as typed errors (not silently skipped): - - `crates/dspy-rs/src/core/dyn_predictor.rs:60` (`NamedParametersError`), `crates/dspy-rs/tests/test_named_parameters_containers.rs:27` (container error contract). -- Prompt/parsing pipeline is centralized in schema-driven adapter building blocks: - - `crates/dspy-rs/src/adapter/chat.rs:463` (`build_system`), `crates/dspy-rs/src/adapter/chat.rs:563` (`format_input`), `crates/dspy-rs/src/adapter/chat.rs:654` (`parse_output_with_meta`). -- Function-pointer payload pattern via Facet attrs already exists and is runtime-decoded: - - `crates/bamltype/src/facet_ext.rs:21` (`WithAdapterFns`), `crates/bamltype/src/facet_ext.rs:41` (`with_adapter_fns`). -- Builder APIs are the established module-construction style: - - `crates/dspy-rs/src/predictors/predict.rs:246` (`PredictBuilder`), `crates/dspy-rs/src/modules/react.rs:257` (`ReActBuilder`). -- Tracing instrumentation (`#[tracing::instrument]`) is consistently used on core execution boundaries: - - `crates/dspy-rs/src/core/dyn_predictor.rs:67`, `crates/dspy-rs/src/adapter/chat.rs:447`, `crates/dspy-rs/src/predictors/predict.rs:466`. - -### Spec Ambiguities -- ~~`ProgramGraph::from_module(&module)` vs current walker mutability (`named_parameters(&mut module)`).~~ - - **Resolved:** snapshot-then-fit-back. `from_module(&module)` uses an immutable walker variant (`named_parameters_ref`) to read predictor schemas and state, creates independent owned `DynModule` graph nodes. Graph mutates freely during optimization. `graph.fit(&mut module)` writes optimized state back via mutable walker + `load_state`. Structural divergences surfaced explicitly. See tracker decision entry. -- F10 includes `remove_node` and `insert_between`, but breadboard U41-U46 does not enumerate them. - - Proposed resolution: treat `remove_node` and `insert_between` as in-scope for slice completeness (F10 source-of-truth), but phase delivery after `new/add/connect/replace/execute` if time-boxing is needed. -- Edge derivation in `from_module` is underspecified (“trace or explicit annotation”). - - Proposed resolution: follow tracker C8 lock: annotation-first deterministic edges in V6; trace inference explicitly deferred. -- `TypeIR::is_assignable_to` is named in spec but absent in codebase. - - Proposed resolution: define a graph-local compatibility function first (exact/optional/union-safe rules), then optionally upstream to `TypeIR` extension trait. -- Strategy config model is unspecified (`StrategyConfig`, `StrategyConfigSchema` structure not defined). - - Proposed resolution: use `serde_json::Value` plus JSON-schema metadata for v1; keep factory-specific typed decoding behind each factory. -- Graph execution output contract is underspecified for multi-sink graphs (`Result` singular output). - - Proposed resolution: require one designated terminal node in v1 (explicit graph output node), error on ambiguous sinks. -- Demo uses `connect("input", ...)` without defining an input node lifecycle. - - Proposed resolution: model input as explicit virtual root node created by `execute` (not user-added), reserved name `__input` to avoid user collisions. - -### Recommended Approach -1. Add F9 core surfaces first: `DynModule`, `StrategyFactory`, config/schema types, registry API (`get/create/list`), and error types. -2. Implement first two concrete factories (`chain_of_thought`, `react`) that wrap existing typed modules and expose predictor handles. -3. Build F10 graph data types (`ProgramGraph`, `Node`, `Edge`) and mutation APIs (`new/add/connect/replace/remove/insert_between`) with deterministic validation errors. -4. Implement N24 type compatibility helper and wire it into `connect` and `replace_node` edge checks. -5. Implement N25 topological sort + cycle errors; then N26 BamlValue edge routing and node input assembly. -6. Implement `execute` by invoking `DynModule::forward` in topo order using shared adapter formatting/parsing paths to preserve R8. -7. Implement `from_module` projection using F6 walker + adapter wrapper around discovered predictors; apply annotation-first edge derivation policy. -8. Add registration plumbing (`inventory` submit/collect), then test matrix: registry operations, graph validation/mutation, cycle handling, parity golden tests (typed vs dynamic prompts), and end-to-end V6 smoke. diff --git a/docs/plans/modules/slice_6_review.md b/docs/plans/modules/slice_6_review.md deleted file mode 100644 index 80817a4b..00000000 --- a/docs/plans/modules/slice_6_review.md +++ /dev/null @@ -1,58 +0,0 @@ -## Current Scope Addendum (2026-02-11) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -All content below is preserved as a historical implementation record. - -### Findings - -#### Finding 1 -- Severity: high -- Category: Spec fidelity / Shape compliance -- Location: `crates/dspy-rs/src/core/dyn_factories.rs:241`, `crates/dspy-rs/src/core/dyn_factories.rs:267`, `crates/dspy-rs/src/core/dyn_factories.rs:275`, `crates/dspy-rs/src/core/dyn_factories.rs:359` -- Issue: The dynamic `react` strategy is implemented as a single generic predictor pass-through, not ReAct orchestration. `ReActDynModule` exposes only one predictor and `forward()` delegates directly to `SchemaPredictor::forward_untyped`, while `max_steps` and `tools` are unused. This does not match the ground-truth F9 expectation that ReAct factory logic builds ReAct-specific schemas/behavior (action + extract, tool-driven loop). Spec refs: `docs/specs/modules/shapes.md:65`, `docs/specs/modules/design_reference.md:813`. -- Suggestion: Implement dynamic ReAct as a true multi-step `DynModule`: construct action/extract schemas from base schema + tool definitions, run iterative action/tool/extract flow, and expose both internal predictors via `predictors()`/`predictors_mut()`. - -#### Finding 2 -- Severity: high -- Category: Breadboard consistency / Spec fidelity -- Location: `crates/dspy-rs/src/core/program_graph.rs:347`, `crates/dspy-rs/src/core/program_graph.rs:350`, `crates/dspy-rs/src/core/program_graph.rs:512` -- Issue: The graph cannot realize the breadboard’s external-input wiring model. `connect()` requires both endpoints to be existing nodes (so `"input"` is rejected), and `execute()` only passes the root input to nodes with zero incoming edges; nodes with incoming edges get an input map built only from edges. That makes the documented `graph.connect("input", "question", "cot", "question")` flow impossible and prevents mixing root input fields with piped fields on downstream nodes. Spec refs: `docs/specs/modules/breadboard.md:263`, `docs/specs/modules/breadboard.md:490`. -- Suggestion: Add explicit graph input/output pseudo-node semantics, or merge root input into each node input before applying edge overwrites. Align API behavior with the breadboard examples. - -#### Finding 3 -- Severity: medium -- Category: Spec fidelity / Cleanliness -- Location: `crates/dspy-rs/src/core/program_graph.rs:18`, `crates/dspy-rs/src/core/program_graph.rs:168`, `crates/dspy-rs/src/core/program_graph.rs:206`, `crates/dspy-rs/src/core/dyn_module.rs:78` -- Issue: Registry-created modules do not flow directly into graph mutation APIs as specified. `registry::create()` returns `Box`, but `add_node`/`replace_node` require a `Node` wrapper with duplicated `schema` and `module`. This diverges from the spec examples and introduces drift risk between `node.schema` and `node.module.schema()`. Spec refs: `docs/specs/modules/design_reference.md:1062`, `docs/specs/modules/design_reference.md:1063`, `docs/specs/modules/breadboard.md:488`. -- Suggestion: Accept `Box` in `add_node`/`replace_node`, derive node schema from `module.schema()`, and make `Node` construction internal to keep schema/module consistent. - -#### Finding 4 -- Severity: medium -- Category: Breadboard consistency -- Location: `crates/dspy-rs/src/core/program_graph.rs:456`, `crates/dspy-rs/src/core/program_graph.rs:463`, `crates/dspy-rs/tests/test_program_graph_annotations.rs:67` -- Issue: `ProgramGraph::from_module()` only adds edges from pre-registered annotations; plain projections produce zero edges. Ground truth says projection auto-populates nodes/edges (S5/S6) and design allows inferred edges (trace or annotation). Current behavior means multi-predictor modules project into disconnected graphs unless callers manually register annotations first. Spec refs: `docs/specs/modules/breadboard.md:267`, `docs/specs/modules/design_reference.md:885`. -- Suggestion: Implement at least one automatic edge inference path (trace-derived or schema/path-based heuristic), and return a clear projection error when a multi-node projection has no resolvable edges. - -#### Finding 5 -- Severity: medium -- Category: Maintainability / Correctness -- Location: `crates/dspy-rs/src/core/program_graph.rs:270`, `crates/dspy-rs/src/core/program_graph.rs:272`, `crates/dspy-rs/src/core/program_graph.rs:278`, `crates/dspy-rs/src/core/program_graph.rs:289` -- Issue: `insert_between()` is not failure-atomic. It inserts the node and removes the original edge before validating inserted-node input/output fields. If validation fails (`?` on missing input/output field), the function returns with partially mutated graph state. -- Suggestion: Pre-validate inserted-node schema before mutating graph, or use transactional rollback on every failure path (including missing input/output field errors). - -#### Finding 6 -- Severity: low -- Category: Simplicity / Maintainability -- Location: `crates/dspy-rs/src/core/dyn_module.rs:15`, `crates/dspy-rs/src/core/dyn_module.rs:20`, `crates/dspy-rs/src/core/dyn_factories.rs:364` -- Issue: Config validation/error plumbing exists but is mostly unused. `StrategyError::InvalidConfig` and `BuildFailed` are defined but factories do not use them; `ReActFactory` silently defaults when config is malformed. This weakens debuggability and makes runtime behavior less predictable. -- Suggestion: Validate incoming config against `config_schema()` and return `InvalidConfig` on mismatch; reserve defaulting for explicit optional fields. - -### Summary -- High: 2 -- Medium: 3 -- Low: 1 - -Overall assessment: Slice 6 has solid scaffolding (registry, graph data structures, edge validation hooks, and tests for core happy paths), but it is not yet ground-truth compliant for dynamic-graph semantics in two critical areas: true ReAct dynamic behavior and breadboard-consistent input wiring. The current API shape also adds avoidable friction and drift risk around node/schema handling, and projection/mutation behavior has correctness gaps that should be tightened before considering V6 complete. diff --git a/docs/plans/modules/slices_1_3_closure_audit.md b/docs/plans/modules/slices_1_3_closure_audit.md deleted file mode 100644 index 2e729abc..00000000 --- a/docs/plans/modules/slices_1_3_closure_audit.md +++ /dev/null @@ -1,140 +0,0 @@ -# Slices 1–3 Closure Audit - -Date: 2026-02-09 -Scope: Breadboard vertical slices `V1`, `V2`, `V3` from `docs/specs/modules/breadboard.md`. - -> Status Update (2026-02-09): -> This file is a historical snapshot captured at Slice 1–3 closure time. -> Current authoritative status for Slice 1–4 + cleanup routing: -> - `docs/plans/modules/slices_closure_audit.md` -> - `docs/plans/modules/tracker.md` -> - `docs/plans/modules/phase_4_5_cleanup_kickoff.md` -> -> Post-slice reconciliations completed after this snapshot: -> - `U29` (`ChainOfThought` Facet discoverability) resolved. -> - `build_system` API/spec mismatch resolved by spec alignment to fallible `Result`. - -## Audit Method -- Re-read `docs/specs/modules/breadboard.md` slice details and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints for `F1–F4`, `F5`, `F7`, `F11(CoT)`, and `F12`. -- Verify implementation in repo code and tests. -- Classify each slice affordance group as `Implemented`, `Partially Implemented`, or `Deferred`. -- For every non-implemented item, assign an explicit target follow-up phase. - -## New Process Phase -- Added post-commit phase: **Closure Audit**. -- Purpose: explicit bookkeeping pass that confirms each in-scope slice requirement is either implemented or deferred to a named follow-up phase with an owner and exit criteria. - -## Planned Phase 4.5 - -- **Phase 4.5: Cleanup / API Surface Pass** is explicitly scheduled. -- Scope: - - remove or quarantine legacy compatibility surfaces that are no longer needed, - - normalize public API to the intended typed-first authoring model, - - reconcile module/adapter/signature surfaces with spec language, - - reduce transitional glue and tighten invariants before further feature expansion. - -## Long-Term Architecture Position (Recorded) - -Rollout assessment: current slices 1–3 shape is acceptable for incremental delivery. - -End-state assessment: current slices 1–3 shape is not the intended final architecture. - -Current compatibility-heavy surfaces (cross-referenced): -- Legacy schema/predict path still active: - - `crates/dspy-rs/src/core/signature.rs` (`MetaSignature`) - - `crates/dspy-rs/src/predictors/predict.rs` (`LegacyPredict`) - - `crates/dspy-rs/src/adapter/mod.rs` and `crates/dspy-rs/src/adapter/chat.rs` (`&dyn MetaSignature` call/format flow) -- Module trait still permits untyped compatibility shapes: - - `crates/dspy-rs/src/core/module.rs` (`Module::Input/Output` are `Send + Sync + 'static` only) - - Examples still demonstrate legacy-untyped composition: - - `crates/dspy-rs/examples/01-simple.rs` -- Wrapper discoverability for future F6 walker is incomplete: - - `crates/dspy-rs/src/modules/chain_of_thought.rs` (no module-level `Facet` derive yet) -- Generic helper authoring ergonomics remain transitional: - - `crates/dsrs-macros/src/lib.rs` (`unconstrained_generics` helper strategy and generated marker field handling) - - `crates/dsrs-macros/tests/signature_derive.rs` (`__phantom` initialization still visible in same-module test construction) -- Adapter building blocks are available but include a fallible `build_system` surface: - - `crates/dspy-rs/src/adapter/chat.rs` - -Target end-state direction: -1. Remove `MetaSignature`/`LegacyPredict` after schema-first consumer parity and migration gates. -2. Tighten `Module` to typed bounds (`BamlType + Facet`) for library-facing authoring. -3. Make wrapper module discoverability (`ChainOfThought` and combinators) Facet-walker ready. -4. Complete macro helper contract hardening (generic bounds + marker ergonomics). -5. Keep adapter helper fallibility explicit and spec-aligned (implementation/spec convergence). - -## Slice 1 (V1 Typed Call) Accounting - -| Affordance(s) | Status | Evidence | -|---|---|---| -| `U1,U2,U3` Signature derive + markers + doc extraction | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` | -| `U4,U5` generated typed input/output helper types | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` | -| `U6,U7,U8` `Predict` construction/builder/demo | Implemented | `crates/dspy-rs/src/predictors/predict.rs`, `crates/dspy-rs/examples/01-simple.rs` | -| `U9,U10,U11` typed call path (`forward`/`call` + `CallOutcome` + field access) | Implemented | `crates/dspy-rs/src/core/module.rs`, `crates/dspy-rs/src/predictors/predict.rs`, `crates/dspy-rs/tests/test_call_outcome.rs` | -| `U49` parse/error visibility on call path | Implemented | `crates/dspy-rs/src/predictors/predict.rs`, `crates/dspy-rs/src/core/call_outcome.rs` | -| `N1,N2` compile-time macro expansion and instruction extraction | Implemented | `crates/dsrs-macros/src/lib.rs` | -| `N3` `SignatureSchema` derivation/cache | Implemented | `crates/dspy-rs/src/core/schema.rs`, `crates/dspy-rs/tests/test_signature_schema.rs` | -| `N8` schema-driven adapter pipeline | Implemented | `crates/dspy-rs/src/adapter/chat.rs`, `crates/dspy-rs/tests/test_chat_adapter_schema.rs` | -| `N13` typed conversion boundary (`try_from_baml_value`) | Implemented | `crates/dspy-rs/src/adapter/chat.rs`, `crates/dspy-rs/src/predictors/predict.rs` | -| `S1,S2,S3` schema cache + demos + instruction state | Implemented | `crates/dspy-rs/src/core/schema.rs`, `crates/dspy-rs/src/predictors/predict.rs` | - -Slice 1 verdict: **Implemented**. - -## Slice 2 (V2 Augmentation + ChainOfThought) Accounting - -| Affordance(s) | Status | Evidence | -|---|---|---| -| `U12` Deref access to augmented output fields | Implemented | `crates/dspy-rs/src/augmentation.rs`, `crates/dspy-rs/tests/test_with_reasoning_deref.rs` | -| `U13` `ChainOfThought::new()` and builder | Implemented | `crates/dspy-rs/src/modules/chain_of_thought.rs`, `crates/dspy-rs/tests/test_chain_of_thought_swap.rs` | -| `U16` strategy swap ergonomics (`Predict` -> `ChainOfThought`) | Implemented | `crates/dspy-rs/tests/test_chain_of_thought_swap.rs` | -| `U17,U18,U19,U20` augmentation derive and wrapper model | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dspy-rs/src/augmentation.rs` | -| `U28` internal `Predict>` module composition | Implemented | `crates/dspy-rs/src/modules/chain_of_thought.rs` | -| `U29` module-level Facet discoverability (`#[derive(Facet)]` on module struct) | Deferred | `crates/dspy-rs/src/modules/chain_of_thought.rs` (currently no `Facet` derive) | -| `N14` augmentation macro mechanics | Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dspy-rs/tests/test_flatten_roundtrip.rs` | - -Slice 2 verdict: **Partially Implemented** (`U29` deferred). - -## Slice 3 (V3 Module Authoring) Accounting - -| Affordance(s) | Status | Evidence | -|---|---|---| -| `U21,U22` generic signature derive + flatten behavior | Partially Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` (functional flatten/generics pass; helper-generic bound threading mismatch deferred) | -| `U23,U24,U25,U26` adapter building blocks | Partially Implemented | `crates/dspy-rs/src/adapter/chat.rs` (`build_system`, `format_input`, `parse_sections`, `parse_output` are exposed; `build_system` return type differs from design-reference sketch) | -| `U27` custom `impl Module` authoring | Partially Implemented | `crates/dspy-rs/src/core/module.rs`, `crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs` (typed surface works; strict `BamlType + Facet` trait bounds deferred) | -| `N15` generic signature macro support | Partially Implemented | `crates/dsrs-macros/src/lib.rs`, `crates/dsrs-macros/tests/signature_derive.rs` | - -Slice 3 verdict: **Partially Implemented** (three explicit hardening items deferred). - -## Named/Labeled Smoke Artifacts - -- Kept as stable, labeled examples: - - `crates/dspy-rs/examples/90-smoke-slice1-typed-predict.rs` - - `crates/dspy-rs/examples/91-smoke-slice2-chain-of-thought.rs` - - `crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs` - -## Explicit Deferral Ledger - -| Deferred item | Why deferred now | Target phase | Exit criteria | -|---|---|---|---| -| `U29` module-level Facet discoverability for `ChainOfThought` | No active F6 walker consumption in slices 1–3; implementing in isolation risks churn before V5 optimizer boundary lands | **V5 Implement (Optimizer Interface)** | `ChainOfThought` and wrapper modules expose Facet shapes that are consumed by `named_parameters`/walker tests | -| Strict typed `Module` bounds (`Input/Output: BamlType + Facet`) | Compatibility layer still supports legacy `Example/Prediction` modules and examples | **Phase 4.5 Cleanup / API Surface Pass** | `Module` trait bounds tightened; examples/tests updated to typed module inputs/outputs only | -| F12 helper generic bounds threading in generated helper structs | Direct change caused macro trait-resolution breakage; requires deliberate macro redesign, not a one-line patch | **Phase 4.5 Cleanup / API Surface Pass** | Helper type declarations preserve source generic contract while `dsrs-macros` tests remain green | -| `__phantom` helper-field authoring ergonomics | Field is private now, but same-module struct literal ergonomics can still surface it | **Phase 4.5 Cleanup / API Surface Pass** | No user-visible phantom initialization burden in signature macro tests/examples | -| `build_system` return shape mismatch vs design sketch (`Result` vs `String`) | Existing implementation legitimately propagates schema render failures; changing now would hide errors | **Phase 4.5 Cleanup / API Surface Pass** | Either spec updated to fallible API or implementation changed with explicit error-handling policy | -| Option-C full legacy cutover (`MetaSignature`/`LegacyPredict` still active) | Optimizers and adapter compatibility still consume legacy path; removing immediately would break active flows | **Phase 4.5 Cleanup / API Surface Pass** | All consumers migrated to schema-first typed surfaces; legacy path removed behind clear migration note | - -## Validation Run During Closure Audit - -- `cargo test -p dsrs_macros --tests` -- `cargo test -p dspy-rs --test test_call_outcome --test test_signature_schema --test test_chat_adapter_schema --test test_flatten_roundtrip --test test_chain_of_thought_swap --test test_with_reasoning_deref` - -Both command groups passed in current workspace state. - -## Post-Slice-4 Reconciliation (Added) - -The following rows in this historical snapshot have been superseded: - -- `U29` in Slice 2 table was deferred at snapshot time; it is now implemented (`ChainOfThought` derives `facet::Facet`). -- `build_system` return-shape mismatch in the deferral ledger is now resolved by spec alignment. - -Use `docs/plans/modules/slices_closure_audit.md` for the current deferred ledger. diff --git a/docs/plans/modules/slices_closure_audit.md b/docs/plans/modules/slices_closure_audit.md deleted file mode 100644 index 8640b78a..00000000 --- a/docs/plans/modules/slices_closure_audit.md +++ /dev/null @@ -1,114 +0,0 @@ -# Slices 1-6 Closure Audit - -## Current Scope Addendum (2026-02-11) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -All content below is preserved as a historical implementation record. - -Date: 2026-02-10 -Scope: Breadboard vertical slices `V1`, `V2`, `V3`, `V4`, `V5`, `V6` from `docs/specs/modules/breadboard.md`. - -## Audit Method -- Re-checked `docs/specs/modules/breadboard.md` slice definitions and `docs/specs/modules/shapes.md` / `docs/specs/modules/design_reference.md` constraints. -- Verified implementation in the live codebase (not docs-only) with file-level evidence. -- Classified each slice requirement as `Implemented` or `Deferred` with explicit follow-up mapping. - -## Slices 1-3 Baseline -- Baseline accounting for `V1`-`V3` remains in `docs/plans/modules/slices_1_3_closure_audit.md`. -- This document extends that ledger through `V6` and updates deferred-item routing with current post-V6 status. - -## Slice 4 (V4 ReAct + Operational) Accounting - -| Affordance(s) | Status | Evidence | -|---|---|---| -| `U14` ReAct builder with tools (`.tool("name", "desc", fn)`) | Implemented | `crates/dspy-rs/src/modules/react.rs:53`, `crates/dspy-rs/src/modules/react.rs:273`, `crates/dspy-rs/src/modules/react.rs:325`, `crates/dspy-rs/tests/test_react_builder.rs:93` | -| `U14` ReAct action/extract composition (two `Predict` leaves + loop in `forward`) | Implemented | `crates/dspy-rs/src/modules/react.rs:61`, `crates/dspy-rs/src/modules/react.rs:64`, `crates/dspy-rs/src/modules/react.rs:148`, `crates/dspy-rs/tests/test_react_builder.rs:66` | -| `U14` ReAct trajectory parity without extra API (`CallOutcome` metadata carries trace, no `call_with_trajectory`) | Implemented | `crates/dspy-rs/src/modules/react.rs:85`, `crates/dspy-rs/src/modules/react.rs:135`, `crates/dspy-rs/src/modules/react.rs:236`, `crates/dspy-rs/examples/93-smoke-slice4-react-operational.rs:89` | -| `U48` standalone `forward_all(&module, inputs, concurrency)` | Implemented | `crates/dspy-rs/src/core/module.rs:22`, `crates/dspy-rs/src/evaluate/evaluator.rs:24`, `crates/dspy-rs/tests/test_module_forward_all.rs:21` | -| `U51` module combinators (`.map()`, `.and_then()`) | Implemented | `crates/dspy-rs/src/core/module_ext.rs:5`, `crates/dspy-rs/src/core/module_ext.rs:28`, `crates/dspy-rs/src/core/module_ext.rs:55`, `crates/dspy-rs/tests/test_module_ext.rs:37` | -| `S4` tool storage for operational modules | Implemented | `crates/dspy-rs/src/modules/react.rs:66`, `crates/dspy-rs/src/modules/react.rs:152`, `crates/dspy-rs/src/modules/react.rs:335` | - -Slice 4 verdict: **Implemented**. - -## Slice 5 (V5 Optimizer Interface) Accounting - -| Affordance(s) | Status | Evidence | -|---|---|---| -| `U30`, `U31` Facet-powered discovery entry + handle vector (`named_parameters(&mut module) -> Vec<(String, &mut dyn DynPredictor)>`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:72`, `crates/dspy-rs/src/core/dyn_predictor.rs:91`, `crates/dspy-rs/tests/test_named_parameters.rs:50`, `crates/dspy-rs/tests/test_named_parameters.rs:112` | -| `N18` recursive struct walker with explicit container errors (`Vec`, `Option`, `HashMap`, pointer/Box-like) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:110`, `crates/dspy-rs/src/core/dyn_predictor.rs:128`, `crates/dspy-rs/src/core/dyn_predictor.rs:172`, `crates/dspy-rs/tests/test_named_parameters_containers.rs:27`, `crates/dspy-rs/tests/test_named_parameters_containers.rs:46` | -| `U32` schema access via dyn handle (`predictor.schema()`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:12`, `crates/dspy-rs/src/predictors/predict.rs:500`, `crates/dspy-rs/src/optimizer/mipro.rs:594`, `crates/dspy-rs/src/optimizer/copro.rs:73` | -| `U33`, `U34`, `N21`, `N22` demos as `Example` + typed roundtrip mutation | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:15`, `crates/dspy-rs/src/predictors/predict.rs:514`, `crates/dspy-rs/src/predictors/predict.rs:521`, `crates/dspy-rs/src/predictors/predict.rs:378`, `crates/dspy-rs/src/predictors/predict.rs:388`, `crates/dspy-rs/tests/test_named_parameters.rs:73` | -| `U35` instruction get/set through dyn handle | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:13`, `crates/dspy-rs/src/predictors/predict.rs:504`, `crates/dspy-rs/src/predictors/predict.rs:510`, `crates/dspy-rs/tests/test_named_parameters.rs:57`, `crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs:37` | -| `U36` predictor state persistence (`dump_state` / `load_state`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:17`, `crates/dspy-rs/src/predictors/predict.rs:529`, `crates/dspy-rs/src/predictors/predict.rs:536`, `crates/dspy-rs/tests/test_named_parameters.rs:73` | -| `U37`, `N23` untyped forward bridge (`forward_untyped(BamlValue)`) | Implemented | `crates/dspy-rs/src/core/dyn_predictor.rs:19`, `crates/dspy-rs/src/predictors/predict.rs:472`, `crates/dspy-rs/src/predictors/predict.rs:542`, `crates/dspy-rs/tests/test_dyn_predictor_forward_untyped.rs:63` | -| Optimizer internals rewired to new surface (`named_parameters` + dyn handle mutation) | Implemented | `crates/dspy-rs/src/optimizer/copro.rs:98`, `crates/dspy-rs/src/optimizer/mipro.rs:569`, `crates/dspy-rs/src/optimizer/gepa.rs:452` | -| `U50` compile entrypoint fidelity (`optimizer.compile(&mut module, trainset, metric)`) | Implemented | `crates/dspy-rs/src/optimizer/mod.rs:17`, `crates/dspy-rs/src/evaluate/evaluator.rs:33`, `crates/dspy-rs/tests/test_optimizer_typed_metric.rs:1`, `crates/dspy-rs/tests/test_gepa_typed_metric_feedback.rs:1` | -| `S2` Mechanism A strict fidelity (shape-local `dsrs::parameter` payload extraction) | Deferred | Current discovery uses `shape.type_identifier == \"Predict\"` + accessor registry (`crates/dspy-rs/src/core/dyn_predictor.rs:188`, `crates/dspy-rs/src/core/dyn_predictor.rs:45`). Direct generic payload attachment hit compile constraints in current derive expansion; tracked as migration debt. | - -Slice 5 verdict: **Partially Implemented** (core F6/F8 behavior shipped; strict S2 mechanism remains deferred with explicit cleanup targets). - -## Slice 6 (V6 Dynamic Graph) Accounting - -| Affordance(s) | Status | Evidence | -|---|---|---| -| `U38`, `U39` strategy registry (`registry::create`, `registry::list`) | Implemented | `crates/dspy-rs/src/core/dyn_module.rs:53`, `crates/dspy-rs/src/core/dyn_module.rs:79`, `crates/dspy-rs/src/core/dyn_module.rs:88`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:45` | -| `U40` dynamic predictor exposure (`predictors`, `predictors_mut`) | Implemented | `crates/dspy-rs/src/core/dyn_module.rs:29`, `crates/dspy-rs/src/core/dyn_factories.rs:329`, `crates/dspy-rs/src/core/dyn_factories.rs:333`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:63` | -| `U41`, `U42` graph construction (`new`, `add_node`) including direct registry node insertion | Implemented | `crates/dspy-rs/src/core/program_graph.rs:162`, `crates/dspy-rs/src/core/program_graph.rs:181`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:68` | -| `U43`, `N24` edge insertion with validation, including breadboard input pseudo-node wiring, reserved input-node naming, and duplicate-edge rejection | Implemented | `crates/dspy-rs/src/core/program_graph.rs`, `crates/dspy-rs/tests/test_program_graph_mutation.rs`, `crates/dspy-rs/tests/test_program_graph_execution.rs` | -| `U44` node replacement + incident-edge revalidation | Implemented | `crates/dspy-rs/src/core/program_graph.rs:226`, `crates/dspy-rs/tests/test_program_graph_mutation.rs:100` | -| `U45`, `N25`, `N26` topological execution and BamlValue piping | Implemented | `crates/dspy-rs/src/core/program_graph.rs:349`, `crates/dspy-rs/src/core/program_graph.rs:657`, `crates/dspy-rs/tests/test_program_graph_execution.rs:143`, `crates/dspy-rs/tests/test_program_graph_execution.rs:198` | -| `U46` typed→graph projection + fit-back | Implemented | `crates/dspy-rs/src/core/program_graph.rs:453`, `crates/dspy-rs/src/core/program_graph.rs:512`, `crates/dspy-rs/tests/test_program_graph_projection_fit.rs:33` | -| `N17` schema-transforming factories (`chain_of_thought` reasoning prepend, `react` action/extract schemas) | Implemented | `crates/dspy-rs/src/core/dyn_factories.rs:449`, `crates/dspy-rs/src/core/dyn_factories.rs:552`, `crates/dspy-rs/src/core/dyn_factories.rs:617`, `crates/dspy-rs/tests/test_registry_dynamic_modules.rs:95` | -| `N27` distributed factory auto-registration (`inventory::submit!`) | Implemented | `crates/dspy-rs/src/core/dyn_factories.rs:540`, `crates/dspy-rs/src/core/dyn_factories.rs:544`, `crates/dspy-rs/src/core/dyn_factories.rs:548` | -| `R8` typed/dynamic prompt parity and dynamic graph real-model smoke | Implemented | `crates/dspy-rs/tests/test_program_graph_execution.rs:269`, `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs:18`, `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs:33` | - -Slice 6 verdict: **Implemented** (with explicit post-implementation debt retained for strict S2 attr payload and broader TypeIR assignability semantics). - -## Consolidated Deferred Ledger (Post-Implementation Cleanup) - -| Deferred item | Why deferred | Target phase | Exit criteria | -|---|---|---|---| -| F12 helper generic bounds threading in generated helper structs | Macro helper constraints still use transitional strategy | **Post-Implementation Cleanup** | Generic helper declarations preserve source generic contract with `dsrs-macros` tests green | -| `__phantom` helper-field authoring ergonomics | Generic helper phantom initialization still leaks into same-module literals | **Post-Implementation Cleanup** | No user-facing phantom initialization burden in macro tests/examples | -| `V5` strict S2 mechanism (`dsrs::parameter` payload extraction) | Current generic payload attachment path is blocked in current derive expansion; registry fallback was used to keep V5 green | **Post-Implementation Cleanup** | Replace registry/type-name discovery with shape-local typed attr payload extraction or finalize audited equivalent and update spec debt note | -| `V6` TypeIR assignability breadth | Current `is_assignable_to` is conservative (exact, nullable widening, simple unions) | **Post-Implementation Cleanup** | Replace with native/complete TypeIR subtyping semantics that cover richer unions/classes/aliases | -| Typed example loading (Shape A) | Training data remains untyped `Vec` — typed loading (`Vec` where `S: Signature`) requires coercing DataLoader, macro-generated `.input()` extractor, and field mapping. | **Post-Implementation Cleanup** | Training data is `Vec` where `S: Signature`; DataLoader produces typed examples with coercion (R11) and graceful error handling (R12); Signature macro generates `.input() -> S::Input` extractor. | - -## Cleanup Kickoff Reference - -Phase 4.5 execution planning and decision arbitration checkpoints are now tracked in: - -- `docs/plans/modules/phase_4_5_cleanup_kickoff.md` - -Use that doc as the active decision matrix for: -- strict typed-bound migration strategy, -- legacy-surface cutover gates, -- optimizer/evaluator contract migration boundaries, -- wrapper/combinator walker completion scope. - -## Post-Implementation Cleanup Resolved Items -- `U29` (`ChainOfThought` Facet discoverability) resolved in code: `crates/dspy-rs/src/modules/chain_of_thought.rs:16`. -- `build_system` API/spec mismatch resolved by spec alignment to fallible return (`Result`): `docs/specs/modules/breadboard.md:101`, `docs/specs/modules/design_reference.md:583`. -- Strict typed `Module` bounds resolved in code (`Input/Output: BamlType + Facet`): `crates/dspy-rs/src/core/module.rs:9`. -- Wrapper/combinator walker discoverability resolved for shipped wrappers (`Map`, `AndThen`, `ChainOfThought`, `ReAct`) with canonical-path tests: `crates/dspy-rs/src/core/module_ext.rs:33`, `crates/dspy-rs/tests/test_named_parameters_ref.rs:145`. -- Stage 1 kill pass resolved: legacy optimizer/signature surfaces removed from runtime + proc macros (`MetaSignature`, `LegacyPredict`, `Optimizable`, `LegacySignature`, `#[parameter]`, legacy `Predictor` trait). -- Stage 1 typed metric migration resolved: `Optimizer::compile(&mut module, trainset, metric)` + `TypedMetric` + GEPA feedback-gated `compile` entrypoint are now canonical. -- Stage 2 graph/runtime hardening resolved: `ProgramGraph` now reserves pseudo-node name `"input"` for root wiring, rejects duplicate edges explicitly, enforces `insert_between` single-input/single-output contract, synchronizes inserted-node schema from live module state before rewire validation, and enforces strict 1:1 path mapping in `fit(&mut module)` with explicit mismatch errors. - -## Validation During Slice 5-6 Closure Audit -- `cargo check -p dspy-rs` -- `cargo check -p dspy-rs --examples` -- `cargo test -p dspy-rs --lib --tests` -- `cargo test -p dspy-rs --test test_named_parameters --test test_named_parameters_containers --test test_dyn_predictor_forward_untyped` -- `cargo test -p dspy-rs --test test_registry_dynamic_modules --test test_program_graph_execution --test test_program_graph_mutation --test test_program_graph_annotations --test test_program_graph_projection_fit --test test_named_parameters_ref` -- `set -a && source .env && set +a && cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` -- `set -a && source .env && set +a && cargo run -p dspy-rs --example 94-smoke-slice5-optimizer-interface` -- `set -a && source .env && set +a && cargo run -p dspy-rs --example 95-smoke-slice6-dynamic-graph` - -Observed smoke outputs: -- Slice 4 calculator trajectory parity pass: `tool_calls: 3`, `tool_executions: 5`, trajectory printed with `Step 1..4`, `answer: 70`. -- Slice 5 optimizer-interface pass: `named_parameters: ["predictor"]`, instruction mutation applied, `answer: smoke-ok`. -- Slice 6 dynamic-graph pass: registry-created node + input pseudo-edge execution returned `answer: smoke-ok`. diff --git a/docs/plans/modules/tracker.md b/docs/plans/modules/tracker.md deleted file mode 100644 index 239e04fa..00000000 --- a/docs/plans/modules/tracker.md +++ /dev/null @@ -1,221 +0,0 @@ -# Implementation Tracker - -## Current Scope Addendum (2026-02-12) - -V6/dynamic graph was implemented in-repo, then intentionally deferred; the runtime code has been removed from active scope. - -Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. - -MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. - -All content below is preserved as a historical implementation record. - -> Historical note: entries in this file are an execution log. Older entries may reference removed APIs and are kept as archival context. - -## Current State -- **Slice**: 6 (V6 dynamic graph + post-stage hardening) -- **Phase**: Post-Implementation Cleanup (shape/breadboard hardening in progress) -- **Primary kickoff doc**: `docs/plans/modules/phase_4_5_cleanup_kickoff.md` -- **Current deferred-ledger source**: `docs/plans/modules/slices_closure_audit.md` -- **Roadmap**: Stage 1 cleanup (legacy kill pass + typed metric optimizer path) → Stage 2 runtime/docs hardening (shape/breadboard) → remaining post-cleanup debt -- **Roadmap rationale**: Slices 1-6 are implemented; active work is convergence cleanup and API/docs/test hardening. - -## Active Subagents -| ID | Purpose | Slice | Phase | Status | Notes | -|----|---------|-------|-------|--------|-------| - -## Completed Subagents -| ID | Purpose | Slice | Phase | Outcome | -|----|---------|-------|-------|---------| -| `019c41ac-7619-7013-9147-858cc5d57ebe` | Research brief for V1 typed call | 1 | Research | Completed; confirmed V1 chokepoints are `Signature`/adapter/predictor return surfaces and identified flat-`FieldSpec` gaps vs target `SignatureSchema` path model | -| `019c41bd-b436-72e3-a9f6-7be83ad9aafc` | Research brief for Slice 1 (V1 typed call) | 1 | Research | Completed; produced `slice_1_research.md` with code-level inventory and migration path; reviewed and amended for strict Slice 1 scope | -| `019c41c1-87a7-7eb0-8959-4316b2a12033` | Stupidly implementable plan for Slice 1 (V1 typed call) | 1 | Plan | Completed; generated `slice_1.md` draft with file-level steps, but initial review flagged divergence from S1/S6 full-replacement decisions | -| `019c41c5-0229-73f3-9874-4d88971cfc65` | Plan refinery against ground truth for Slice 1 | 1 | Plan Refinery | Completed; produced `slice_1_refinery.md`, corrected plan fidelity issues, and surfaced arbitration points that were resolved in `slice_1.md` | -| `019c41ca-9537-7e01-9ab4-d560308f1cd3` | Implement Slice 1 plan in code/tests | 1 | Implement | Partial; edited core/macro/adapter/predict surfaces but left compile break (`core/module.rs` delimiter), incomplete test migration, and unexpected out-of-scope edits in optimizer files (`optimizer/gepa.rs`, `optimizer/mipro.rs`) | -| `manual` | Implement Slice 1 completion pass | 1 | Implement | Completed; fixed compile break, finalized `CallOutcome`/schema test migration, added `test_signature_schema.rs` + `test_call_outcome.rs` + `test_chat_adapter_schema.rs`, and updated typed integration tests to `Predict::call(...).await.into_result()` | -| `019c41e1-6eb1-76e2-9402-aee1bdb2f20e` | Adversarial review against ground truth | 1 | Adversarial Review | Completed; reported one high finding (`MetaSignature` flatten marker mismatch); finding accepted and fixed by switching legacy field keys to `lm_name` and broadening header parser regex | -| `019c41e9-c4a2-7c93-9e85-b76d8e8e5bae` | Research brief for Slice 2 (V2 augmentation + CoT) | 2 | Research | Completed; produced `slice_2_research.md` and amended gap analysis to reflect current Slice 1 state (typed path already `FieldPath`-based; residual split helpers and augmentation/CoT gaps remain) | -| `019c41ed-b602-7530-9c6c-80ba69ba9c24` | Stupidly implementable plan for Slice 2 (V2 augmentation + CoT) | 2 | Plan | Failed/no output; subagent returned no completion and did not create `slice_2.md` | -| `019c43b1-97e4-7391-b609-750ee9d2e188` | Replacement planning brief for Slice 2 (V2 augmentation + CoT) | 2 | Plan | Completed; generated `slice_2.md`, but initial review found spec fidelity issues requiring refinery (incorrect `Augmented` trait modeling, over-strong `DerefMut` requirement, and non-canonical CoT constructor shape) | -| `019c43b4-cc15-7141-8644-166205cf4a26` | Plan refinery against ground truth for Slice 2 | 2 | Plan Refinery | Completed; produced `slice_2_refinery.md`, updated `slice_2.md`, and surfaced one arbitration item now resolved (`ChainOfThoughtBuilder` delegates full `PredictBuilder` DSL; wrappers remain `Deref`-only) | -| `019c43be-fa6e-7080-97d8-08ceaab8c4db` | Implement Slice 2 plan in code/tests | 2 | Implement | Partial; macro conflicts required manual completion and additional adapter/schema adjustments to align flattened augmentation fields | -| `019c43e9-045c-7693-bc73-2e13531c3b28` | Adversarial review against ground truth | 2 | Adversarial Review | Completed; produced `slice_2_review.md` with three findings (missing Facet on `ChainOfThought`, untyped `Module::forward` mismatch against design example, and empty legacy `parameters()` visibility) | -| `019c4412-6e17-7fb2-8abf-321f4e4d415e` | Apply agreed Slice 2 arbitration fix (legacy optimizer visibility) | 2 | Arbitrate | Completed; updated `ChainOfThought::parameters()` to expose `predictor` and added regression test `chain_of_thought_parameters_expose_predictor_for_legacy_optimizers` | -| `019c4415-5851-70e3-8e74-bc49d59c9f86` | Research brief for Slice 3 (module authoring) | 3 | Research | Failed; no output | Subagent rejected by prompt-policy guard before execution; replacing with narrower prompt | -| `019c4415-ba6f-7b91-a931-e09e979b47b7` | Research brief for Slice 3 (module authoring) | 3 | Research | Completed; produced `slice_3_research.md` covering V3/F4/F12 requirements, current code references, and migration gaps | Reviewed and accepted with added caution on trait migration blast radius | -| `019c441e-01f4-75f1-9905-3da3bf970159` | Stupidly implementable plan for Slice 3 (module authoring) | 3 | Plan | Completed; produced `slice_3.md` with sequencing/tests for V3 migration | Initial review found directional correctness but concrete API/name mismatches requiring refinery correction | -| `019c441f-07b6-7d00-a7cd-7c47d3714b5b` | Plan refinery against ground truth for Slice 3 | 3 | Plan Refinery | Completed; produced `slice_3_refinery.md` and updated `slice_3.md` with coverage notes, including explicit test comprehensiveness check | No unresolved `NEEDS ARBITRATION` markers remained; final arbitration moved to direct code-grounded implementation due stale/non-existent API names still present in the plan text | -| `019c4439-b9ac-7721-885e-6147e96f8d40` | Adversarial review against ground truth for Slice 3 | 3 | Adversarial Review | Completed; produced `slice_3_review.md` with 2 high, 2 medium, 1 low finding | Findings reviewed during Arbitrate; no additional fix subagent required for this slice pass | -| `manual` | Closure audit and bookkeeping pass for slices 1–3 | 3 | Closure Audit | Completed; created `slices_1_3_closure_audit.md`, removed stale unresolved marker from `slice_2_refinery.md`, and mapped all non-implemented items to explicit follow-up phases | Closure audit introduces explicit post-commit phase `Closure Audit` for future slices as well | -| `019c4458-b5c5-7bd3-9c7e-82b427d6ca36` | Research brief for Slice 4 (ReAct + operational affordances) | 4 | Research | Completed; produced `slice_4_research.md` with V4 requirement inventory and repo-grounded gap analysis | Amended post-review to mark `U48` as `[MODIFY]` because current `forward_all` requires a fourth `display_progress` arg versus spec’s 3-arg ergonomic surface | -| `019c445d-861f-7d93-b2af-28bdcfb3e3da` | Stupidly implementable plan for Slice 4 (ReAct + operational affordances) | 4 | Plan | Failed/no output | Subagent prompt was blocked by policy guard before execution; replacing with narrower prompt | -| `019c4461-f155-7233-8244-25d9491d2957` | Replacement planning brief for Slice 4 (ReAct + operational affordances) | 4 | Plan | Completed; generated `slice_4.md` with implementation/test steps for U14/U48/U51 | Initial review accepted direction; flagged speculative details (`#[facet(skip)]` closure handling and ReAct tool-wrapper API shape) for plan refinery arbitration | -| `019c4467-1e16-7b82-a306-2989dd593944` | Plan refinery against ground truth for Slice 4 | 4 | Plan Refinery | Completed; produced `slice_4_refinery.md` and updated `slice_4.md` with spec/shape consistency checks | One ambiguity surfaced (`and_then` metadata semantics) and was resolved during arbitration in the approved plan | -| `019c4475-b295-75b0-8b03-ecfd11932e5f` | Adversarial review against ground truth for Slice 4 | 4 | Adversarial Review | Completed; produced `slice_4_review.md` with one high and one medium finding | High: ReAct missing `Facet` derivation/discoverability. Medium: ReAct loop prompt formatting bypasses adapter building blocks | -| `019c4478-d3ef-76b1-98e9-cbf5f4d127ec` | Apply agreed Slice 4 arbitrate fix (ReAct Facet discoverability) | 4 | Arbitrate | Completed; added `facet::Facet` derive on `ReAct` and skipped non-discoverable fields (`tools`, `max_steps`) while keeping predictor fields discoverable | Verified by `cargo check -p dspy-rs`, then re-ran targeted tests and Slice 4 smoke successfully | -| `manual` | ReAct DSPy parity pass (single call surface + trajectory smoke evidence) | 4 | Implement → Smoke Test | Completed; removed public `call_with_trajectory`, kept trajectory in normal `Predicted` metadata, upgraded deterministic test to multi-tool calculator loop, and replaced smoke with GPT-5.2 calculator trajectory proof | `cargo test -p dspy-rs --test test_module_forward_all --test test_module_ext --test test_react_builder` and `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` passed | -| `019c4536-e461-7792-ad3e-3c1115103a7a` | Research brief for Slice 5 (optimizer interface) | 5 | Research | Completed; created `slice_5_research.md` with V5 requirement inventory, existing optimizer/discovery surfaces, and [EXISTS]/[MODIFY]/[NEW] gaps for `DynPredictor` + walker migration | -| `019c453b-9133-7b23-bb4d-6cb001dea031` | Stupidly implementable plan for Slice 5 (optimizer interface) | 5 | Plan | Completed; created `slice_5.md` with concrete file-level steps for `DynPredictor`, Facet walker discovery, optimizer rewiring, and regression tests | -| `019c4542-56ae-73a2-bcf6-8078d6368393` | Plan refinery against ground truth for Slice 5 | 5 | Plan Refinery | Completed; created `slice_5_refinery.md`, updated `slice_5.md`, and surfaced C4 evaluator-surface arbitration for owner decision | -| `019c4564-8a9e-7e60-8c67-f45160adb26f` | Adversarial review against ground truth for Slice 5 | 5 | Adversarial Review | Completed; created `slice_5_review.md` with 6 findings (2 high, 2 medium, 2 low) and evidence paths | -| `019c456a-ec36-75e0-bc4e-f3028aca1001` | Arbitrate fixes for Slice 5 review findings | 5 | Arbitrate | Completed; fixed pointer/Box container erroring in walker and added V5 coverage for dump/load-state + deterministic multi-leaf discovery ordering | -| `019c4573-3f66-7e03-b1f8-b9dbb69e0738` | Research brief for Slice 6 (V6 dynamic graph) | 6 | Research | Completed; created `slice_6_research.md` with V6/F9/F10 requirements, existing inventory, and [EXISTS]/[MODIFY]/[NEW] gaps | -| `019c457a-a6d4-7892-8e0a-cc58d11f80a1` | Stupidly implementable plan for Slice 6 (V6 dynamic graph) | 6 | Plan | Failed/no output; subagent stalled without producing `slice_6.md` after repeated waits and interrupt request | -| `019c4582-c2dc-7f81-963c-2b2b2780005d` | Replacement stupidly implementable plan for Slice 6 (V6 dynamic graph) | 6 | Plan | Completed; produced `slice_6.md` with required sections, grounded signatures, and snapshot-then-fit-back contract from the resolved ambiguity (`from_module` immutable projection + `fit` mutable write-back) | -| `019c458b-e671-7b13-9b7b-d3921607a791` | Plan refinery against ground truth for Slice 6 | 6 | Plan Refinery | Completed; produced `slice_6_refinery.md` and updated `slice_6.md` with fidelity corrections (`StrategyError`, `format_output_baml`, `insert_between` coverage, execution-order note, `from_parts` visibility tightening) plus two arbitration markers | -| `019c45a4-fb62-7e62-8efa-b2d050d15e2c` | Adversarial review against ground truth for Slice 6 | 6 | Adversarial Review | Completed; produced `slice_6_review.md` with 6 findings (2 high, 3 medium, 1 low) used for Slice 6 arbitrate fixes | -| `019c469b-8f1c-7313-9aa8-2f32cabbae39` | Stage 1 adversarial audit #1 (legacy residue) | 6 | Post-Implementation Cleanup | Completed; no P0/P1 code findings, flagged README stale optimizer docs (P2) | -| `019c469b-8f42-74d1-b78b-811190ddfbf1` | Stage 1 adversarial audit #2 (typed API fidelity) | 6 | Post-Implementation Cleanup | Completed; flagged P1 doc/API mismatch (`README` + `gepa.mdx`) and confirmed runtime typed contract | -| `019c469b-8f67-72d2-a0e8-74f56b9f0435` | Stage 1 adversarial audit #3 (typed test matrix) | 6 | Post-Implementation Cleanup | Completed; flagged targeted typed-path coverage gaps (partial-feedback GEPA, input-key conversion guard, nested walker paths, metadata parity) | -| `019c46a5-b446-7c10-8291-ae7b41c09017` | Stage 1 adversarial re-audit A (docs/code consistency) | 6 | Post-Implementation Cleanup | Completed; no P0/P1 mismatches in tracker + closure + breadboard against current code | -| `019c46a5-b46a-77a0-b29e-8a5c6e2e0965` | Stage 1 adversarial re-audit B (typed contract fidelity) | 6 | Post-Implementation Cleanup | Completed; contract validated; re-confirmed README + GEPA user-doc API drift as P1 docs-only debt | -| `019c46a5-b490-7780-b7ee-88624e8ffee7` | Stage 1 adversarial re-audit C (typed coverage matrix) | 6 | Post-Implementation Cleanup | Completed; confirmed prior gaps mostly closed; flagged remaining optimizer parity gap (invalid input_keys guard missing for GEPA/MIPRO at audit start) | - -## Decisions & Architectural Notes - -- **Stage 2 shape/breadboard hardening (2026-02-10):** Removed global graph-edge annotation registration from active runtime surface in favor of explicit per-call annotations (`from_module_with_annotations`), kept `from_module` canonical, and expanded regression coverage around projection/fit invariants. -- **Stage 1 adversarial re-audit (2026-02-10):** Re-ran 3 independent explorer audits after restoring planner/spec detail updates (`tracker`, `slices_closure_audit`, `breadboard`); no new code-level P0/P1 findings. -- **Stage 1 typed coverage hardening (2026-02-10):** Closed remaining optimizer input-key guard gap by adding invalid `input_keys` failure-path tests for both MIPRO and GEPA (`test_optimizer_typed_metric.rs`, `test_gepa_typed_metric_feedback.rs`) in addition to existing COPRO coverage. -- **Stage 1 docs-risk note (2026-02-10):** Adversarial audits continue to flag user-facing API drift in `README.md` and `docs/docs/optimizers/gepa.mdx` (legacy evaluator/compile snippets); retained as explicit docs-only debt pending owner-approved wording pass. -- **Stage 1 cleanup execution (2026-02-10):** Implemented one-shot removal of legacy optimizer/signature surfaces and migrated optimizer/evaluator APIs to typed metric path (`Optimizer::compile(&mut module, trainset, metric)`, `TypedMetric`, GEPA feedback-gated `compile`). -- **Stage 1 docs convergence (2026-02-10):** Updated active user docs (`README`, optimizer docs) to remove legacy snippets and align examples to typed metric API. -- **Stage 1 audit gates (2026-02-10):** Ran 3 adversarial subagent audits post-apply; resolved all reported P1 findings before closing validation gates. -- **State transition (2026-02-10):** Advanced workflow to `Slice 5 / Research` after 4.5-lite completion; V5 is now the active slice. -- **Slice 5 research arbitration (2026-02-10):** Accepted `slice_5_research.md` as implementation baseline. Locked V5 to struct-field walker recursion with explicit container errors (per N18 + S5 deferral), and carried forward the U50 API ambiguity (`metric` arg in breadboard vs then-current `Evaluator`-bound compile trait) into planning for explicit resolution. This ambiguity is now closed by Stage 1 cleanup (typed metric compile contract landed). -- **Execution heuristic (2026-02-10):** For ambiguous V5 details, follow spec spirit while choosing the shortest correct implementation path; avoid adding migration scaffolding unless required for green builds, and record every shortcut as explicit cleanup debt for post-slice reconciliation. -- **Slice 5 plan review (2026-02-10):** Accepted plan direction for F6/F8 core deliverables and quick-path migration strategy; at that time, plan refinery still needed to arbitrate strict U50/C4 fidelity (typed evaluator replacement vs temporary `Evaluator` carryover) and concrete Facet attribute payload syntax for `PredictAccessorFns`. -- **Slice 5 plan refinery arbitration (2026-02-10):** Resolved all `NEEDS ARBITRATION` markers in `slice_5.md`. Chosen path for that slice window: land F6/F8 (`DynPredictor` + walker + optimizer rewiring) with minimal churn by keeping the `Evaluator` metric boundary temporarily, while explicitly recording C4 typed-evaluator replacement as migration debt for post-V5/V6 cleanup. This temporary decision has since been superseded by Stage 1 cleanup. -- **Slice 5 implementation validation (2026-02-10):** `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test -p dspy-rs --lib --tests` all pass after V5 rewiring (`named_parameters`, `DynPredictor`, optimizer integrations, and new V5 regression tests). -- **Slice 5 mechanism audit (2026-02-10):** Queried Facet indexed resources via Nia to validate S2 Mechanism A (`define_attr_grammar!` + typed attr decode). Attempted direct `#[facet(dsrs::parameter = ...)]` payload path and hit compile blockers for generic function-pointer payload attachment (`E0401`) in current derive expansion. Kept registry-backed accessor mapping for this slice as the shortest correct path and recorded as migration debt for cleanup. -- **Slice 5 smoke test (2026-02-10):** Added and ran `crates/dspy-rs/examples/94-smoke-slice5-optimizer-interface.rs` against `openai:gpt-5.2` with `.env` loaded; walker discovered `named_parameters: [\"predictor\"]`, instruction mutation took effect, and call returned `answer: smoke-ok`. -- **Slice 5 adversarial arbitration (2026-02-10):** Agreed and fixed finding on pointer/Box container guard gap (`Def::Pointer` now errors as container when it encloses parameter leaves) and agreed on expanding V5 regression coverage (state dump/load roundtrip + deterministic multi-leaf ordering tests). -- **Slice 5 adversarial arbitration (2026-02-10):** Deferred both high findings at the time: (1) S2 Mechanism A attr-payload discovery remains blocked by generic derive constraints in current implementation and is tracked as migration debt; (2) U50 typed metric surface (`compile(..., metric)`) was temporarily deferred per prior C4 decision to avoid duplicate migration churn before cleanup. Item (2) is now resolved by Stage 1 cleanup. -- **Slice 5 adversarial arbitration (2026-02-10):** Deferred GEPA uniform-entrypoint finding and legacy surface cleanup as post-V5/V6 cleanup work; no stale `NEEDS ARBITRATION` markers remain in Slice 5 docs. -- **Slice 5 post-fix smoke rerun (2026-02-10):** Re-ran `94-smoke-slice5-optimizer-interface` against `openai:gpt-5.2` after arbitrate fixes; still passes with `answer: smoke-ok`. -- **Slice 5 commit (2026-02-10):** Change `ovrlqprm` / `89d83af6` — "slice5: implement optimizer interface with dyn predictor walker". -- **Slice 5 closure audit (2026-02-10):** Updated `docs/plans/modules/slices_closure_audit.md` with V5 requirement accounting, explicit implemented/deferred classification (`U50`, S2 mechanism, GEPA entrypoint), and validation evidence including Slice 5 GPT-5.2 smoke. -- **State transition (2026-02-10):** Advanced tracker from Slice 5 closure to `Slice 6 / Research` per closure-audit transition rule (`slice < 6`). -- **Slice 6 research arbitration (2026-02-10):** Accepted `slice_6_research.md` as planning baseline for V6 (`F9`/`F10`) with graph-first sequencing (`DynModule/registry` → `ProgramGraph` mutation/validation → execution → typed projection). -- **Slice 6 research discrepancy note (2026-02-10):** Confirmed a concrete tension between design example `ProgramGraph::from_module(&module)` and current discovery surface `named_parameters(&mut module)`. Planning must explicitly choose immutable projection API vs mutable-only projection path. -- **Slice 6 `from_module` mutability resolution (2026-02-09):** Resolved via **snapshot-then-fit-back** semantics. `ProgramGraph::from_module(&module)` takes `&module` (immutable), reads each predictor's schema + state via an immutable walker variant, and creates standalone `DynModule` wrappers (owned, decoupled from source module). The optimizer mutates the graph independently. After optimization, `graph.fit(&mut module)` applies optimized state back to the typed module's predictors via `load_state` on path-matched leaves. Implementation requires: (1) add `fn(*const ()) -> *const dyn DynPredictor` to `PredictAccessorFns` for immutable accessor; (2) add `named_parameters_ref(&module) -> Vec<(String, &dyn DynPredictor)>` immutable walker variant; (3) `from_module` calls immutable walker, reads `.schema()` + `.dump_state()`, constructs independent graph nodes; (4) `graph.fit(&mut module)` uses existing mutable walker to write back. Structural divergences (topology changes in the graph that don't map to typed module paths) are surfaced, not silently dropped. Rationale: keeps typed path zero-cost (no Arc/Mutex), matches spec signatures (breadboard U46 `&module`, design_reference §11 `&M`, shapes F6 `&dyn DynPredictor`), and the `&mut` lives where mutation actually happens (fit-back), not where it doesn't (projection). -- **Slice 6 research discrepancy note (2026-02-10):** Locked annotation-first edge derivation for `ProgramGraph::from_module` per prior C8 decision; trace-inferred wiring remains deferred until post-V6 cleanup unless required by a blocker. -- **Slice 6 planning execution note (2026-02-10):** Initial planning subagent (`019c457a-a6d4-7892-8e0a-cc58d11f80a1`) stalled with no deliverable after repeated waits/interrupt; replaced by `019c4582-c2dc-7f81-963c-2b2b2780005d` with tighter repo-grounding constraints. -- **Slice 6 ambiguity resolution sync (2026-02-10):** Incorporated user-authored clarifications from `slice_6_research.md` before finalizing plan, including snapshot-then-fit-back (`from_module(&module)` via immutable walker + `fit(&mut module)` write-back), explicit structural divergence surfacing, and annotation-first edge derivation. -- **Slice 6 plan initial review (2026-02-10):** Accepted `slice_6.md` as Plan-phase baseline and advanced to Plan Refinery. Refinery must explicitly verify two fidelity risks: (1) whether `from_module` should return `ProgramGraph` exactly (U46) versus `Result` in the plan draft; (2) whether proposed `SignatureSchema` cloning constructors preserve existing lifetime/ownership constraints without mutating global cached schemas. -- **Slice 6 plan refinery outcome (2026-02-10):** Accepted refinery corrections in `slice_6.md`/`slice_6_refinery.md` (typed `StrategyError` APIs, `format_output_baml` helper, `insert_between` test coverage, and ordering fix requiring adapter helpers before dynamic factory implementation). -- **Slice 6 arbitration resolution (2026-02-10):** Resolved both plan markers: (1) keep global accessor registry bridge in V6 (defer shape-local attr payload migration to cleanup); (2) use global edge-annotation registration keyed by shape ID as the sole V6 annotation source (defer shape-local annotation storage to cleanup). All `NEEDS ARBITRATION` markers for Slice 6 are cleared. -- **State transition (2026-02-10):** Advanced Slice 6 from `Plan Refinery` to `Implement` after arbitration closure. -- **Slice 6 implement completion pass (2026-02-10):** Added strict typed/dynamic prompt parity coverage for both `predict` and `chain_of_thought` (`test_program_graph_execution.rs`) and aligned dynamic CoT reasoning-field docs to typed schema prompt behavior. -- **Slice 6 validation sweep (2026-02-10):** `cargo test -p dspy-rs --lib --tests` and `cargo check -p dspy-rs --examples` both pass after V6 implementation updates; no failing regressions remain in crate-level tests. -- **Facet API verification (2026-02-10):** Re-ran Nia semantic queries over indexed `facet-rs/facet` + docs resources to confirm current walker/accessor model (`Peek`/`Poke` + pointer vtables + attr grammar mechanics). Kept registry bridge for V6 per prior arbitration and migration-debt policy. -- **State transition (2026-02-10):** Advanced Slice 6 from `Implement` to `Adversarial Review` and spawned review subagent `019c45a4-fb62-7e62-8efa-b2d050d15e2c`. -- **Slice 6 adversarial review outcome (2026-02-10):** `slice_6_review.md` reported 6 findings (2 high, 3 medium, 1 low). Agreed with all findings and applied fixes in-slice; no deferrals. -- **Slice 6 arbitrate fixes (2026-02-10):** - - Implemented true dynamic ReAct orchestration (`action` + `extract` predictors, iterative loop, terminal action handling, tool-call/execution metadata accumulation) and strict `react` config validation (`InvalidConfig` on malformed `max_steps`). - - Added breadboard input wiring semantics: `connect("input", ...)` is now supported; execution resolves pseudo-node edges from root input; topo-sort ignores pseudo-node dependency edges. - - Reduced dynamic API friction: `ProgramGraph::add_node`/`replace_node` now accept `impl Into`, so `Box` from `registry::create` can be passed directly while schema/module sync is enforced at insertion. - - Added projection fallback and guardrails: `from_module` remains annotation-first but now falls back to ordered schema/path inference when annotations are absent, and errors on unresolved multi-node projections. - - Made `insert_between` failure-atomic for missing inserted-node IO fields by pre-validating before graph mutation. -- **Slice 6 post-arbitrate validation (2026-02-10):** Re-ran targeted V6 suites plus full crate validation: `cargo test -p dspy-rs --test test_registry_dynamic_modules --test test_program_graph_execution --test test_program_graph_mutation --test test_program_graph_annotations --test test_program_graph_projection_fit --test test_named_parameters_ref`, then `cargo test -p dspy-rs --lib --tests`, and `cargo check -p dspy-rs --examples` all pass. -- **Slice 6 smoke test (2026-02-10):** Added and ran `crates/dspy-rs/examples/95-smoke-slice6-dynamic-graph.rs` against `openai:gpt-5.2` with `.env` loaded; dynamic graph path (`registry::create` + `add_node` + `connect(\"input\", ...)` + `execute`) returned `answer: smoke-ok`. -- **State transition (2026-02-10):** Completed Slice 6 Arbitrate and advanced to `Commit`. -- **Slice 6 commit (2026-02-10):** Change `nmvtxvrn` — "slice6: implement dynamic graph registry and execution". -- **State transition (2026-02-10):** Advanced Slice 6 from `Commit` to `Closure Audit`. -- **Slice 6 closure audit (2026-02-10):** Updated `docs/plans/modules/slices_closure_audit.md` with V6 requirement accounting (`U38`-`U46`, `N17`, `N24`-`N27`, `R8`) and refreshed deferred-ledger entries for V6 annotation storage and TypeIR assignability breadth. -- **State transition (2026-02-10):** Because current slice = 6, advanced from `Closure Audit` to `Post-Implementation Cleanup`. -- **Calling convention revision (2026-02-09):** Replaced `CallOutcome` with `Result, PredictError>` for typed module calls. `Predicted` implements `Deref` for direct field access and carries `CallMetadata` (like DSPy's `Prediction`). Rationale: `CallOutcome` required `.into_result()?` on stable Rust, violating P1 ergonomics. Nightly `try_trait_v2` has no stabilization timeline. `Predicted` + `Result` gives DSPy-parity ergonomics on stable: `module.call(input).await?.answer`. Canonical user entrypoint is `Module::call`; module authors implement `forward` as the hook. -- **Interpretation note:** historical entries below may still reference `CallOutcome` because they log pre-revision milestones. Treat those references as superseded unless an entry explicitly says otherwise. -- **Phase 4.5-lite completion (2026-02-10):** Exit gates passed. `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and `cargo test` are green after C1/C5/C6 execution. -- **C1 implementation closeout (2026-02-10):** `Module::Input`/`Output` bounds now require `BamlType + for<'a> Facet<'a> + Send + Sync`, and combinator output bounds were tightened to match. -- **Facet safety correction (2026-02-10):** Replaced unsound shape aliasing on legacy `Example`/`Prediction` with derive-based Facet metadata so layout/type metadata stays truthful while data-heavy fields remain skipped/opaque. -- **C5 implementation closeout (2026-02-10):** Signature derive now emits clean helper names (`{Name}Input`, `{Name}Output`, `{Name}All`) and constructor helpers so users do not initialize phantom fields in literals. -- **C6 implementation closeout (2026-02-10):** `ChainOfThought.predictor`, `ReAct.action`, and `ReAct.extract` are Facet-transparent, while non-parameter ReAct fields remain skipped. Added shape traversal coverage in `crates/dspy-rs/tests/test_module_facet_shapes.rs` (CoT, ReAct, Map nesting). -- **C6 implementation note (2026-02-10):** `Map`/`AndThen` keep explicit `unsafe Facet` impls with skipped `facet::Opaque` closure fields because current derive behavior imposes `F: Facet` for these generic wrappers. -- **Roadmap revision (2026-02-09):** Descoped Phase 4.5 to "4.5-lite" (prerequisites only). C1 (Module bounds), C5 (macro naming), C6 (Facet annotations) are in scope. C3 (optimizer ABI) and C4 (evaluator adapter) reclassified as V5 feature work. C2 (legacy quarantine) replaced by post-V6 kill pass (straight deletion, no intermediate scaffolding). Rationale: building compatibility wrappers for a system about to be replaced is waste. Full C1-C8 arbitration outcomes recorded in `phase_4_5_cleanup_kickoff.md`. -- **C1 arbitration (2026-02-09):** Accept option A (hard tighten now). `Module` bounds go to `BamlType + Facet` without compatibility wrappers. Legacy `Module` impls stay on old types until kill pass. -- **C2 arbitration (2026-02-09):** Skip quarantine entirely. Legacy surfaces frozen in place until kill pass after V5+V6. -- **C3 arbitration (2026-02-09):** Reclassified as V5 scope. Optimizer ABI migration is the V5 slice definition. -- **C4 arbitration (2026-02-09):** Reclassified as V5 scope. Typed evaluator surface replaces legacy `Evaluator` trait. -- **C5 arbitration (2026-02-09):** Accept option B (redesign). Fix macro naming (`QAOutput` not `__QAOutput`) and phantom construction ergonomics. -- **C6 arbitration (2026-02-09):** Accept option B (full matrix). Fix `#[facet(opaque)]` on predictor fields; add walker traversal shape tests. -- **C7 arbitration (2026-02-09):** Accept option A (defer to V5). Error-path contract tests land when the walker exists. -- **C8 arbitration (2026-02-09):** Accept option B (lock strategy). Annotation-first with optional trace inference. Recorded for V6 planning. -- **State normalization (2026-02-09):** Tracker advanced from stale `Slice 3 / Done` to `Slice 4 / Research` per closure-audit transition rule (slice < 4 advances to next slice research). -- **ReAct DSPy parity arbitration (2026-02-09):** Removed separate trajectory call API from `ReAct` to keep a single call surface aligned with `F4` and DSPy reference behavior (`call` returns prediction while trajectory is part of returned data). Trajectory is now emitted through existing call metadata (`tool_executions`) and printed in smoke/tests without introducing another call path. Superseded return wrapper: `CallOutcome` -> `Result, PredictError>` per the calling convention revision. -- **ReAct calculator smoke proof (2026-02-09):** Updated `93-smoke-slice4-react-operational` to exercise multi-tool calculator flow (`add` → `multiply` → `add` → `finish`) and print step-by-step trajectory from metadata; real-model smoke on `openai:gpt-5.2` passed with `tool_calls: 3`, `tool_executions: 5`, `answer: 70`. -- **Slice 4 research arbitration (2026-02-09):** Reclassified `U48` from `[EXISTS]` to `[MODIFY]` in `slice_4_research.md`; batching semantics are present, but API shape currently requires `display_progress` and does not match breadboard’s 3-arg `forward_all(&module, inputs, concurrency)`. -- **Slice 4 plan review (2026-02-09):** Accepted high-level sequencing (U48 surface alignment → U51 combinators → U14 ReAct + tests), but flagged two areas for refinery against code/spec: (1) exact Facet strategy for closure-bearing wrappers (`Map`/`AndThen`), and (2) concrete plain-function tool adapter surface for ReAct builder. -- **Slice 4 refinery arbitration (2026-02-09):** Resolved `and_then` metadata ambiguity by locking `ModuleExt::and_then` to a fallible transform signature `Fn(Output) -> Result` that preserves inner call metadata; removed stale `NEEDS ARBITRATION` marker from `slice_4.md`. -- **Slice 4 smoke test (2026-02-09):** Real LM call passed end-to-end via `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` (loaded `.env`, model `openai:gpt-5.2`), returning `answer: smoke-ok`. -- **Slice 4 arbitrate (2026-02-09):** Agreed with high finding on ReAct Facet discoverability and fixed in `modules/react.rs`. Re-ran compile/tests and smoke after fix; smoke now reports `tool_executions: 1`, `answer: smoke-ok`. -- **Slice 4 arbitrate (2026-02-09):** Disagreed with medium finding (“ReAct bypasses adapter building blocks”) for this slice: both action/extract calls execute through `Predict::call` → `ChatAdapter` pipeline (`N8/F7`). The hand-built `trajectory` string is module orchestration state, not a replacement parsing/formatting pipeline; no immediate correctness gap observed in tests/smoke. -- **Slice 4 implementation (2026-02-09):** Added `ReAct` module (`modules/react.rs`) with plain async tool builder (`.tool(name, desc, fn)`), action/extract loop over typed `Predict` leaves, and Facet discoverability on the wrapper struct. -- **Slice 4 implementation (2026-02-09):** Added operational affordances: new 3-arg `forward_all(&module, inputs, concurrency)` surface, `forward_all_with_progress` compatibility helper, and `ModuleExt::{map,and_then}` wrappers in `core/module_ext.rs`. -- **Slice 4 validation (2026-02-09):** `cargo check -p dspy-rs`, `cargo check -p dspy-rs --examples`, and targeted tests (`test_module_forward_all`, `test_module_ext`, `test_react_builder`, `test_chain_of_thought_swap`) passed. -- **Slice 4 smoke test (post-fix, 2026-02-09):** `cargo run -p dspy-rs --example 93-smoke-slice4-react-operational` against `openai:gpt-5.2` passed (`tool_executions: 1`, `answer: smoke-ok`). -- **Slice 4 commit (2026-02-09):** Change `nluquynv` / `d768449f` — \"slice4: implement react and operational affordances\". -- **Slice 4 closure audit (2026-02-09):** Added `docs/plans/modules/slices_closure_audit.md` with `V4` requirement accounting and consolidated deferred ledger routing. Because slice = 4, workflow advanced to Post-Implementation Cleanup. -- **Post-Implementation Cleanup (2026-02-09):** Resolved `U29` by deriving `facet::Facet` on `ChainOfThought` (`crates/dspy-rs/src/modules/chain_of_thought.rs`) and revalidated targeted module tests/smokes. -- **Post-Implementation Cleanup (2026-02-09):** Resolved `build_system` API/spec mismatch by aligning spec docs to the implemented fallible surface (`Result`) in `breadboard.md` and `design_reference.md`. -- **Post-Implementation Cleanup (2026-02-09):** Ran full workspace validation (`cargo test`) successfully after cleanup edits. -- Slice definitions for this execution are V1-V3 from `/Users/darin/src/personal/DSRs/docs/specs/modules/breadboard.md` (V1 Typed call, V2 Augmentation + CoT, V3 Module authoring). -- Ground truth hierarchy for arbitration is: breadboard + shapes + design_reference + spikes S1-S8. -- **Superseded lock (2026-02-09):** N8/typed call default return was `CallOutcome` (metadata-first) with `call_with_meta` folded into `call`. Superseded the same day by the calling convention revision to `Result, PredictError>` with `Module::call` as canonical and `forward` as implementation hook. -- **Calling convention constraint (updated):** single return type + single convention. `Module::call` returns `Result, PredictError>` and delegates to `forward`; no parallel convenience call path. -- **Error payload constraint:** errors must carry call metadata context (raw response/usage/field parse detail) in the same default return flow. -- **Plan review decision (2026-02-09):** Slice 1 plan must align with S1/S6 Option C replacement direction; broad legacy compatibility strategy in draft plan requires refinery correction or explicit arbitration. -- **Arbitration (2026-02-09): Flatten alias/constraint semantics.** `SignatureSchema` enforces unique LM-visible names per side (input/output). Collisions after flatten are hard errors with path detail. Constraints/format metadata are attached to flattened emitted leaf paths. -- **Superseded arbitration (2026-02-09): `CallOutcome` ergonomics.** Prior plan considered `Try`/`FromResidual` on nightly (`try_trait_v2`) with `into_result()`. Superseded by `Result, PredictError>` on stable. -- **Implementation decision (2026-02-09):** Keep minimal optimizer file edits in `optimizer/gepa.rs` and `optimizer/mipro.rs` because they were mechanical call-site adaptations required by typed module invocation; no optimizer behavior changes were introduced. -- **Adversarial arbitration (2026-02-09):** Accepted high-severity review finding on legacy flatten marker mismatch. Fixed by (1) emitting `FieldSchema::lm_name` keys in `schema_fields_to_value`, and (2) updating `FIELD_HEADER_PATTERN` to parse non-`\w` marker names (including dotted aliases/paths). -- **Smoke test (2026-02-09):** Real LM call passed end-to-end using `cargo run -p dspy-rs --example _slice1_smoke` with `.env` `OPENAI_API_KEY` and model `openai:gpt-5.2`; typed path returned expected `answer = "smoke-ok"`. -- **Arbitration result (2026-02-09):** Agreed with the single review finding and fixed it in-place (`predict.rs` legacy field-key mapping and `chat.rs` header regex). Post-fix test suite and smoke run passed. -- **Slice 1 commit (2026-02-09):** `rkuwmrtq` / `229404b5` — "slice1: implement typed call with SignatureSchema and CallOutcome". -- **Slice 2 plan review (2026-02-09):** Draft plan needs refinery arbitration on augmentation trait signatures, wrapper mutability contract (`Deref` vs `DerefMut`), and ChainOfThought public constructor ergonomics to match breadboard U13 and S3/S7 decisions. -- **Slice 2 arbitration (2026-02-09):** Resolved `ChainOfThought` API to provide `new()` (U13) plus delegated full builder DSL (`demos`/`instruction`/`tools`) via `ChainOfThoughtBuilder`, and locked augmentation wrappers to `Deref`-only (no `DerefMut`) per S3. -- **Slice 2 implementation (2026-02-09):** `WithReasoning` now derives `facet::Facet` directly and implements `BamlSchema` manually (instead of `#[BamlType]`) to avoid HRTB conflicts in the macro expansion while preserving `BamlType` via blanket impl. -- **Slice 2 implementation (2026-02-09):** Adapter formatting uses relaxed path lookup to handle `#[facet(flatten)]` outputs whose BamlValue serialization flattens fields while parsing still expects nested paths. -- **Slice 2 smoke test (2026-02-09):** Real LM calls passed end-to-end against `openai:gpt-5.2` via named examples: `cargo run -p dspy-rs --example 90-smoke-slice1-typed-predict` (`answer = smoke-ok`) and `cargo run -p dspy-rs --example 91-smoke-slice2-chain-of-thought` (`answer = smoke-ok`, reasoning populated). -- **Slice 2 arbitrate (2026-02-09):** Accepted finding on legacy optimizer visibility and fixed by exposing `predictor` through `ChainOfThought::parameters()`. Re-ran Slice 2 smoke test after fix; still passes (`answer = smoke-ok`). -- **Slice 2 arbitrate (2026-02-09):** Deferred review findings on `Facet` derivation and typed module-call contract as cross-slice architectural alignment work; current Slice 2 deliverable remains consistent with the existing `Module` trait contract introduced in Slice 1. -- **Slice 2 commit (2026-02-09):** `owmrznzo` / `748368c8` — "slice2: implement augmentation + chain-of-thought module". -- **Slice 3 research (2026-02-09):** Accepted recommendation that V3 requires completing F4/F12 (typed `Module` surface + generic/flatten signature authoring) and exposing schema-driven adapter building blocks; this is a high-blast-radius migration that must preserve `CallOutcome` metadata semantics. -- **Slice 3 plan review (2026-02-09):** Accepted high-level sequencing (schema/derive → trait migration → adapter surface → module updates → tests), but flagged concrete type/API drift in the draft plan (non-existent symbols like `ChatMessage`/`schema_from_signature`, incorrect import ownership for `BamlType`). Refine against ground truth before implementation. -- **Slice 3 refinery arbitration (2026-02-09):** Refined plan passed fidelity/shape/breadboard/sequencing/API/over-engineering checks and explicit test-comprehensiveness review, but implementation will use in-repo symbols as source of truth where plan text still references speculative names. -- **Process note (2026-02-09):** Planning subagent prompts must explicitly require grounding in the repository (current code paths/patterns), in addition to the research doc and tracker decisions, to avoid speculative API names. -- **Slice 3 implementation (2026-02-09):** Completed typed module-authoring migration across core and examples: `Module` now uses associated `Input`/`Output`, `forward_all` free helper is used for batching, generic signature derive supports flatten with generated helper structs + Facet/BamlSchema plumbing, and schema-first adapter helpers are exposed for system/input/output formatting and parse paths. -- **Slice 3 implementation (2026-02-09):** Migrated examples to the new authoring syntax (`CallOutcome` handling, removed `call_with_meta`, replaced member `.batch(...)` with `forward_all(...)`) and added labeled smoke example `crates/dspy-rs/examples/92-smoke-slice3-module-authoring.rs`. -- **Slice 3 validation (2026-02-09):** `cargo check -p dspy-rs -p dsrs_macros`, `cargo test -p dsrs_macros --tests`, `cargo test -p dspy-rs --lib --tests`, and `cargo check -p dspy-rs --examples` all pass. -- **Slice 3 smoke test (2026-02-09):** Loaded `.env` and ran labeled real-model smokes against `openai:gpt-5.2`: `90-smoke-slice1-typed-predict`, `91-smoke-slice2-chain-of-thought`, and `92-smoke-slice3-module-authoring`; all returned `answer: smoke-ok`. -- **Slice 3 arbitration (2026-02-09):** Review finding on `__phantom` public leakage is stale after current implementation (`__phantom` is private). Other findings (Option-C full legacy removal, strict typed bounds on `Module`, and `build_system` fallibility) are recorded as intentional scope/compatibility tradeoffs for Slice 3 and deferred for explicit future architectural decision. -- **Slice 3 commit (2026-02-09):** Change `strkwqpy` — "slice3: implement module authoring syntax and schema helpers". -- **Process decision (2026-02-09):** Add explicit phase `Closure Audit` after `Commit` and before `Done` for slices that complete implementation. The phase output is a requirements ledger that marks each in-scope item as Implemented / Partially Implemented / Deferred with evidence and a named follow-up phase. -- **Closure audit result (2026-02-09):** `docs/plans/modules/slices_1_3_closure_audit.md` is the source of truth for slices 1–3 accounting. Summary: V1 implemented; V2 partially implemented (U29 deferred); V3 partially implemented (typed-bound/generic-hardening + legacy-cutover deferrals). -- **Deferral mapping (2026-02-09):** Assigned explicit follow-up phases: `Phase 4.5 Cleanup / API Surface Pass` (typed module bounds + generic helper contract + phantom ergonomics + `build_system` API/spec reconciliation + legacy cutover prep/removal) and `V5 Implement` (Facet walker discoverability for module wrappers). -- **Planning update (2026-02-09):** Consolidated deferred cleanup items into an explicit **Phase 4.5: Cleanup / API Surface Pass**. This phase is now the canonical destination for strict typed module bounds, macro helper generic/ergonomic cleanup, adapter surface reconciliation, and legacy API cutover prep/removal. - -## Stumbling Blocks - -- Existing tracker lacked `Current State` fields from the required template; normalized before continuing to avoid ambiguous phase transitions. -- Initial research draft mixed Slice 1 scope with Slice 2/5 artifacts (augmentation and DynPredictor migration). Corrected to keep Slice 1 deliverables focused on V1 call path while preserving cross-slice constraints. -- Implementation subagent introduced unexpected edits outside assigned ownership (`optimizer/gepa.rs`, `optimizer/mipro.rs`) while attempting to satisfy compile ripple effects from `Module` return type changes. -- `cargo check -p dspy-rs --examples` initially failed after the module trait migration due stale example syntax (`call_with_meta`, untyped `Module` impls, member `.batch(...)`). Resolved by updating all impacted examples and adding a Slice 3 smoke example. -- Slice 2 planning subagent produced no deliverable (`slice_2.md` missing) and had to be replaced. -- Slice 2 adversarial review subagent took longer than expected; waited through multiple polls before completion. -- Slice 3 research confirms V3 is not incremental polish: it requires trait-shape migration across core module/predictor surfaces and may ripple into optimizer and examples. -- S2 Mechanism A direct attr-payload implementation in generic `Predict` currently fails due derive-generated static context rejecting outer generic parameter use for accessor fn payload (`E0401`), so V5 uses a runtime accessor registry fallback. - -## Open Questions - -- `Post-Implementation Cleanup` remaining scope: generic-helper/`__phantom` ergonomics plus remaining S2 mechanism debt (predict-accessor fallback) and TypeIR assignability breadth remain non-trivial migrations with broad compatibility impact. -- Typed metric/evaluator migration boundary is now closed in code (`Optimizer::compile(..., metric)` + `TypedMetric` + GEPA feedback gate); remaining open question is only how aggressively to prune or annotate historical planning notes so they cannot be misread as active API guidance. -- Decision matrix and sequencing for cleanup kickoff are now centralized in `docs/plans/modules/phase_4_5_cleanup_kickoff.md`. -- ~~`V6`: resolve `ProgramGraph::from_module` mutability contract~~ → **Resolved.** See decision entry below. -- `V6`: define v1 graph output contract for multi-sink graphs (single terminal node requirement vs aggregate-output shape). - -## Migration Debt - -- **V5-S2 accessor fallback:** `crates/dspy-rs/src/core/dyn_predictor.rs` uses runtime `register_predict_accessor(shape.id -> fn)` plus `shape.type_identifier == "Predict"` detection instead of shape-local `dsrs::parameter` payload extraction. Exit criteria: implement attr-driven accessor payload (Mechanism A) or equivalent audited replacement without runtime registry. -- **V6-TypeIR assignability breadth:** `TypeIR::is_assignable_to` remains intentionally conservative (exact match, nullable widening, simple unions, and structural list/map/tuple checks). Exit criteria: fuller subtyping semantics for richer unions/aliases/classes without destabilizing edge validation. -- **Resolved in Stage 2 (2026-02-10):** S8 global edge-annotation registry debt is closed; active projection surface is explicit per-call annotations (`from_module_with_annotations`) with no ambient global annotation state. -- **Resolved in Stage 1 (2026-02-10):** V5-C4 evaluator bridge removed (typed metric entrypoint landed) and legacy optimizer surfaces deleted. diff --git a/docs/specs/modules/breadboard.md b/docs/specs/modules/breadboard.md index b7293d28..cc9f63a8 100644 --- a/docs/specs/modules/breadboard.md +++ b/docs/specs/modules/breadboard.md @@ -6,7 +6,7 @@ V6/dynamic graph was implemented in-repo, then intentionally deferred; the runti Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. -MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. +MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred (`TODO(trace-demos)`). All content below is preserved as a historical implementation record. @@ -46,7 +46,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we **Architectural invariants:** - **Dependency direction is acyclic:** P1 ← P2 ← P3 ← P4. Each layer sees the one below, never above. No cycles. - **S1 (SignatureSchema cache) is the shared backbone:** Written once (immutable after init), read by all Places. Immutable shared state across Places is coupling in name only — it's a computed property of types. If this invariant were ever violated (mutable schema), the whole Place decomposition would collapse. -- **L1/L2 share a compilation unit.** `Predict` implements `DynPredictor` in the same crate (`dspy-rs`). This is intentional dependency inversion: L2 defines the interface (`DynPredictor`), L1 satisfies it. **Current mechanism:** accessor fns are resolved through a runtime shape-id registry. Dispatch is registry-only; Predict-like leaves without registration now fail explicitly with `MissingAttr` diagnostics. **Tradeoff:** stable behavior now, explicit S2 migration debt until shape-local payload extraction is available. L1 cannot be compiled without L2 type definitions. The layer separation is enforced by API design (P1 users never import L2 types), not by the crate graph. +- **L1/L2 share a compilation unit.** `Predict` implements `DynPredictor` in the same crate (`dspy-rs`). This is intentional dependency inversion: L2 defines the interface (`DynPredictor`), L1 satisfies it. **Current mechanism:** accessor fns are extracted from shape-local `PredictAccessorFns` payloads (S2 Mechanism A). Predict-like leaves with missing/invalid payloads fail explicitly with diagnostics; runtime registry fallback is not used. L1 cannot be compiled without L2 type definitions. The layer separation is enforced by API design (P1 users never import L2 types), not by the crate graph. - **"Structure IS declaration" — with bounded container support.** The walker discovers Predict leaves by reflecting on struct fields. Module authors don't annotate `#[parameter]` or implement traversal. The current implementation traverses structs plus common containers (`Option`, list/array/slice, `HashMap`, and `Box`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) produce explicit N18 errors rather than silent skips. - **Module combinators must be Facet-transparent.** Any wrapper that composes modules (Map, AndThen, Pipe) must expose inner modules as struct fields visible to the F6 walker (N18), not behind trait objects. `Map` requires a manual Facet impl walking only `inner: M` (closures are opaque to Facet derive). `BestOfN` has `module: M` as a concrete typed field. If a combinator hides the inner module behind `Box`, the walker cannot find Predict leaves inside — optimization breaks silently. **Path namespace consequence:** Wrapping a module changes path prefixes — `predict` becomes `inner.predict`. Serialized optimizer state (U36) is tied to the module tree shape. Changing the tree (adding/removing a wrapper) invalidates saved state with a clear error, not silent misapplication. @@ -74,7 +74,12 @@ This breadboard applies the standard methodology to a **Rust library**, not a we **Deferred (acknowledged, out of scope for V1):** - ⚠️ **Operational policy (retries, timeouts, rate limits):** Per-call execution policy — combinators around `call()`. P1 affordances that wire to U9. No new stores, no new coupling. Easy to add, no architectural impact. -- ⚠️ **Container traversal (remaining):** Common container traversal is implemented (`Option`, lists, maps, `Box`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) still error explicitly in N18; broader pointer/container strategy remains tracked in S5. +- ⚠️ **Container traversal (remaining):** Common container traversal is implemented (`Option`, lists, maps, `Box`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) still error explicitly in N18 (`TODO(dsrs-shared-ptr-policy)`). +- ⚠️ **Media conversion:** Unsupported in optimizer-facing discovery/state flows (`TODO(dsrs-media)`). + +**Explicit limitations (current runtime):** +- Optimizer discovery does not traverse `Rc`/`Arc` containers; N18 returns explicit unsupported-container errors (`TODO(dsrs-shared-ptr-policy)`). +- Media conversion is unsupported for optimizer-facing discovery/state flows (`TODO(dsrs-media)`). --- @@ -116,8 +121,8 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **U28** | P2 | — | `Predict>` as internal field | compile | — | — | F3, F5 | | **U29** | P2 | — | `#[derive(Facet)]` on module struct | compile | — | — | F6 | | | | | | | | | | -| **U30** | P3 | `discovery` | `named_parameters(&mut module)` — takes exclusive `&mut` access | call | → N18 | → U31 | F6 | -| **U31** | P3 | `discovery` | `Vec<(String, &mut dyn DynPredictor)>` return — mutable handles for optimizer mutation | access | → U32–U37 | ← N18 | F6 | +| **U30** | P3 | `discovery` | `visit_named_predictors_mut(&mut module, visitor)` — takes exclusive `&mut` access | call | → N18 | → U31 | F6 | +| **U31** | P3 | `discovery` | Callback receives `(path, &mut dyn DynPredictor)` handles and may short-circuit with `ControlFlow::Break(())` | access | → U32–U37 | ← N18 | F6 | | **U32** | P3 | `dyn_predictor` | `predictor.schema()` | call | — | → &SignatureSchema | F8 | | **U33** | P3 | `dyn_predictor` | `predictor.demos_as_examples()` | call | → N21 | → Vec\ | F8 | | **U34** | P3 | `dyn_predictor` | `predictor.set_demos_from_examples(demos)` | call | → N22 | → Result\<()\> | F8 | @@ -151,7 +156,7 @@ This breadboard applies the standard methodology to a **Rust library**, not a we | **N15** | P2 | `signature` (macro) | Generic signature macro — `split_for_impl()`, generic param threading, flatten handling | compile | → U4, → U5 (generic variants) | — | F12 | | **N17** | P2/P4 | `dyn_module` | Schema transformation — factory modifies `SignatureSchema` (prepend reasoning, build action schema, etc.) | compute | → N3 | → U38 | F9 | | | | | | | | | | -| **N18** | P3 | `discovery` | `walk_value()` — recursive Facet traversal over struct fields and supported containers (`Option`, list/array/slice, `HashMap`, `Box`). Resolves `PredictAccessorFns` through runtime shape-id registration, then casts to `&mut dyn DynPredictor` (one audited unsafe boundary). Predict-like leaves without registration fail explicitly with path diagnostics (`MissingAttr`). Unsupported pointer-like containers (`Rc`, `Arc`, etc.) error explicitly with path/type diagnostics. Target state remains shape-local typed attr payload extraction. | walk | — | → U31 | F6, F8 | +| **N18** | P3 | `discovery` | `walk_value()` — recursive Facet traversal over struct fields and supported containers (`Option`, list/array/slice, `HashMap`, `Box`). Extracts shape-local `PredictAccessorFns` payloads and casts to `&mut dyn DynPredictor` (one audited unsafe boundary). Missing/invalid payloads fail explicitly with path diagnostics. Unsupported pointer-like containers (`Rc`, `Arc`, etc.) error explicitly with path/type diagnostics. | walk | — | → U31 | F6, F8 | | **N21** | P3 | `dyn_predictor` | `Demo → Example` — `to_baml_value()` on input + output | convert | — | → U33 | F8 | | **N22** | P3 | `dyn_predictor` | `Example → Demo` — `try_from_baml_value()` gatekeeper (type safety boundary) | convert | → N23 | → S2 | F8 | | **N23** | P3 | `dyn_predictor` | `S::Input::try_from_baml_value(input)` — typed conversion for forward_untyped | convert | → N8 | → U37 | F8 | @@ -240,12 +245,12 @@ Inside forward(), module author calls: U50 (optimizer.compile(&mut module, trainset, metric)) → exclusive &mut access — no concurrent forward() during optimization - U30 (named_parameters(&mut module)) + U30 (visit_named_predictors_mut(&mut module, visitor)) → N18 (walk_value: recurse through struct fields via Facet reflection, - resolve PredictAccessorFns via runtime shape-id registry, - fail explicit on unregistered Predict-like leaves, + extract shape-local PredictAccessorFns payloads, + fail explicit on missing/invalid payloads, cast to &mut dyn DynPredictor — one audited unsafe boundary) - → U31 (Vec<(path, &mut dyn DynPredictor)>) + → U31 (visitor callback receives each (path, &mut dyn DynPredictor)) For each discovered predictor: U32 (predictor.schema()) → S1 (understand field structure) @@ -300,7 +305,7 @@ U45 (graph.execute(input)) ``` P1 → P3: U50 (optimizer.compile(&mut module, trainset, metric)). Exclusive &mut borrow — P1 cannot call forward() during optimization. - Optimizer calls U30 (named_parameters), which uses N18 (walker) + Optimizer calls U30 (visit_named_predictors_mut), which uses N18 (walker) to reach INTO the P1 module's Predict leaves. N18 (walker) casts to &mut dyn DynPredictor — this is the P1→P3 boundary crossing. After optimization, S2/S3 are mutated but the typed module is unchanged. @@ -460,7 +465,7 @@ let confident = cot.map(|r| ConfidentAnswer { answer: r.answer.clone(), confiden | # | Affordance | Slice Role | |---|------------|------------| | U50 | optimizer.compile(&mut module, trainset, metric) | P1→P3 entry | -| U30, U31 | named_parameters, handle vec | Discovery | +| U30, U31 | callback discovery visitor + mutable handle callback | Discovery | | U32 | predictor.schema() | Schema access | | U33, U34 | demos_as_examples / set_demos | Demo mutation | | U35 | instruction / set_instruction | Instruction mutation | @@ -473,13 +478,21 @@ Demo program: ```rust let mut module = SimpleRAG::new(); // from V3 -// Discover all Predict leaves — no annotations needed -let params = named_parameters(&mut module); -assert_eq!(params.len(), 2); // retrieve.predict + answer.predict - -// Mutate demos -params[0].1.set_demos_from_examples(new_demos)?; -params[1].1.set_instruction("Be concise.".into()); +// Discover/mutate Predict leaves — no annotations needed +let mut seen = Vec::new(); +visit_named_predictors_mut(&mut module, |path, predictor| { + seen.push(path.to_string()); + if path == "retrieve.predict" { + predictor + .set_demos_from_examples(new_demos.clone()) + .expect("demo conversion must match schema"); + } + if path == "answer.predict" { + predictor.set_instruction("Be concise.".into()); + } + ControlFlow::Continue(()) +})?; +assert_eq!(seen.len(), 2); // retrieve.predict + answer.predict // Verify mutations took effect let result = module.call(input).await?; diff --git a/docs/specs/modules/design_reference.md b/docs/specs/modules/design_reference.md index d39182ab..c86a8159 100644 --- a/docs/specs/modules/design_reference.md +++ b/docs/specs/modules/design_reference.md @@ -443,7 +443,7 @@ struct RAG> { ```rust #[derive(Facet)] -#[facet(dsrs::parameter)] // marks for discovery by F6 walker +#[facet(dsrs::predict_accessor = ...)] // shape-local accessor payload for F6 walker pub struct Predict { demos: Vec>, instruction_override: Option, @@ -554,36 +554,49 @@ impl Predict { ### The walker ```rust -pub fn named_parameters<'a>( - root: &'a dyn Reflect, // or: root with known Facet Shape -) -> Vec<(String, /* handle to predictor */)> { - let mut results = Vec::new(); - walk_value(root, "", &mut results); - results +pub fn visit_named_predictors_mut( + module: &mut M, + mut visitor: F, +) -> Result<(), NamedParametersError> +where + M: for<'a> Facet<'a>, + F: FnMut(&str, &mut dyn DynPredictor) -> ControlFlow<()>, +{ + walk_value(Peek::new(&*module), "", &mut visitor)?; + Ok(()) } -fn walk_value(value: /* Peek or similar */, path: &str, results: &mut Vec<...>) { +fn walk_value( + value: Peek<'_, '_>, + path: &str, + visitor: &mut F, +) -> Result, NamedParametersError> +where + F: FnMut(&str, &mut dyn DynPredictor) -> ControlFlow<()>, +{ let shape = value.shape(); - // Check: is this a parameter leaf? - if has_dsrs_parameter(shape) { - results.push((path.to_string(), /* extract DynPredictor handle */)); - return; // don't recurse into Predict's internals + // Stop at Predict leaves with valid shape-local accessor payloads. + if let PredictLeafResolution::Accessor(accessor) = resolve_predict_leaf(shape) { + let raw_ptr = value.data().as_byte_ptr() as *mut (); + let mut forward = |predictor: &mut dyn DynPredictor| visitor(path, predictor); + return Ok((accessor.visit_mut)(raw_ptr, &mut forward)); + } + + if matches!(shape.ty, Type::User(UserType::Struct(_))) { + // recurse through struct fields (excluding skip-deserializing fields) } - // Recurse based on shape.def - // V1: struct-field recursion only. Container traversal (Option/Vec/HashMap/Box) - // deferred (S5) — all V1 library modules use struct fields. match shape.def { - Def::Struct(struct_type) => { - for field in struct_type.fields { - let child = value.field(field.name); - let child_path = format!("{}.{}", path, field.name); - walk_value(child, &child_path, results); - } - } - _ => {} // containers, primitives, enums — skip for V1 + Def::Option(_) => { /* recurse when Some */ } + Def::List(_) | Def::Array(_) | Def::Slice(_) => { /* recurse with [idx] */ } + Def::Map(_) => { /* recurse with ['key']; non-string keys -> explicit Container error */ } + Def::Pointer(def) if def.known == Some(KnownPointer::Box) => { /* recurse */ } + Def::Pointer(_) => { /* Rc/Arc etc. with predictor leaves -> explicit Container error */ } + _ => {} } + + Ok(ControlFlow::Continue(())) } ``` @@ -606,15 +619,15 @@ pub struct RAG { ] ``` -The walker recurses into `ChainOfThought` (a struct with a `predict` field), finds the Predict inside, and reports the dotted path. Identical to DSPy's `named_parameters()` output. +The walker recurses into `ChainOfThought` (a struct with a `predict` field), finds the Predict inside, and reports the dotted path. Path semantics match DSPy's `named_parameters()` output even though the Rust API surface is callback-based. ### How the handle works (S2 resolved: Mechanism A) -The walker finds a value whose Shape has `dsrs::parameter`. It needs to hand back something the optimizer can call `get_demos()`, `set_demos()`, `set_instruction()` on. +The walker identifies a `Predict` leaf via strict shape identity (`type_identifier` + `module_path`) and then requires exactly one valid `dsrs::predict_accessor` payload. It needs to hand back something the optimizer can call `get_demos()`, `set_demos()`, `set_instruction()` on. S2 evaluated three mechanisms and selected **Mechanism A: shape-local accessor payload**. `Predict` carries a `PredictAccessorFns` payload as a typed Facet attribute (fn-pointer based, `'static + Copy`). The walker extracts it via `attr.get_as::()` — the same pattern already used by `WithAdapterFns` in `bamltype/src/facet_ext.rs`. The payload provides a direct cast to `&mut dyn DynPredictor` at the leaf, with one audited unsafe boundary. -Global registry (Mechanism B) is deferred — only needed if cross-crate runtime loading is later required. Interior dyn-handle state (Mechanism C) was rejected for V1 (see `S2-dynpredictor-handle-discovery.md`). +Global registry (Mechanism B) is not part of current runtime behavior. Interior dyn-handle state (Mechanism C) was rejected for V1 (see `S2-dynpredictor-handle-discovery.md`). --- @@ -783,7 +796,7 @@ where S::Input: BamlType, S::Output: BamlType } ``` -**How the Facet walker obtains a `&dyn DynPredictor`** — S2 Mechanism A. The walker detects `dsrs::parameter` on the Shape, extracts the `PredictAccessorFns` payload via typed attr decoding, and uses it to cast the value to `&dyn DynPredictor` (or `&mut dyn DynPredictor` for mutation). See section 7 for walker details. +**How the Facet walker obtains a `&dyn DynPredictor`** — S2 Mechanism A. The walker checks strict `Predict` shape identity (`type_identifier` + `module_path`), then extracts `PredictAccessorFns` from `dsrs::predict_accessor` via typed attr decoding, and uses it to cast the value to `&dyn DynPredictor` (or `&mut dyn DynPredictor` for mutation). See section 7 for walker details. **Type safety through the dynamic boundary:** The optimizer manipulates demos as untyped `Example` values, but `DynPredictor` is always backed by a concrete `Predict` that knows its types at compile time. `set_demos_from_examples` converts `Example → Demo` via `S::Input::try_from_baml_value()` / `S::Output::try_from_baml_value()` — if the data doesn't match the schema, this fails with an error, never silent data loss. The typed module is never replaced or wrapped by the optimizer; it reaches IN to the existing `Predict` and mutates state. When the optimizer is done, the user's module still has correctly typed demos because the conversion gatekeeper enforced the schema at every write. @@ -885,17 +898,24 @@ Topological sort → pipe BamlValues between nodes following edges. Each node's ```rust impl ProgramGraph { - pub fn from_module(module: &M) -> Self { - let params = named_parameters(module); // F6 walker + pub fn from_module(module: &mut M) -> Result { let mut graph = ProgramGraph::new(); - for (path, predictor_handle) in params { - graph.add_node(path, Node { + let mut add_err = None; + visit_named_predictors_mut(module, |path, predictor_handle| { + if let Err(err) = graph.add_node(path.to_string(), Node { schema: predictor_handle.schema().clone(), module: /* wrap predictor as DynModule */, - }); + }) { + add_err = Some(err); + return ControlFlow::Break(()); + } + ControlFlow::Continue(()) + })?; + if let Some(err) = add_err { + return Err(err); } // Edges: inferred from trace or explicit annotation - graph + Ok(graph) } } ``` diff --git a/docs/specs/modules/shapes.md b/docs/specs/modules/shapes.md index 303a9610..32c7a0a7 100644 --- a/docs/specs/modules/shapes.md +++ b/docs/specs/modules/shapes.md @@ -6,7 +6,7 @@ V6/dynamic graph was implemented in-repo, then intentionally deferred; the runti Canonical scope is now V1–V5 typed-only; untyped eval (`U37`) and all V6 dynamic graph/runtime surfaces are deferred. -MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred. +MIPRO is intentionally instruction-only in current scope; trace-derived per-predictor demo mutation is deferred (`TODO(trace-demos)`). All content below is preserved as a historical implementation record. @@ -68,10 +68,10 @@ All content below is preserved as a historical implementation record. | **F2** | **SignatureSchema (Facet-derived, cached)** — `SignatureSchema::of::()` walks `S::Input` and `S::Output` Facet Shapes to produce an ordered flat field list with TypeIR, docs, constraints, and flatten paths. Cached in `OnceLock`. Used by adapter for prompt formatting/parsing AND by dynamic graph for edge validation. Replaces macro-emitted `FieldSpec` arrays. | | | **F3** | **Augmentation derive + combinator** — `#[derive(Augmentation)]` on a small struct (e.g. `Reasoning { reasoning: String }`) generates: a wrapper type (`WithReasoning`) with `#[flatten]` on inner + `Deref` to inner, and the `Augmentation` trait impl. `Augmented` is a generic signature combinator (same input, wrapped output). Eliminates per-augmentation signature boilerplate. | | | **F4** | **Module trait** — `trait Module { type Input; type Output; async fn forward(&self, input) -> Result, PredictError>; async fn call(&self, input) -> Result, PredictError> { self.forward(input).await } }`. `call` is the canonical user-facing entrypoint; `forward` is the implementation hook/compatibility alias. `Predicted` carries output + metadata with `Deref` for direct field access, mirroring DSPy's `Prediction` convention. `?` works directly on stable Rust because the outer return is `Result`. All prompting strategies implement this: `Predict`, `ChainOfThought`, `ReAct`, `BestOfN`, `Refine`, user-defined modules. This is the swapping/composition interface. | | -| **F5** | **Predict as leaf parameter** — `Predict` holds typed demos `Vec>`, optional instruction override, tools. Only thing that calls the LM. Implements both `Module` and `DynPredictor` (type-erased optimizer interface). Current discovery path uses runtime-registered accessor fns keyed by shape id (registry-only dispatch). Predict-like leaves without registration fail explicitly. | | -| **F6** | **Facet-powered parameter discovery** — A walker reflects over any `Facet` value, recurses through struct fields, and yields `(dotted_path, &dyn DynPredictor)` for predictor leaves. No manual traversal code. Replaces `#[derive(Optimizable)]` + `#[parameter]`. Current implementation uses registry-backed accessor resolution only; target state remains strict shape-local typed attrs (S2 Mechanism A). Container traversal over `Option`/list/map/`Box` is implemented; unsupported pointer-like containers still error explicitly. | | +| **F5** | **Predict as leaf parameter** — `Predict` holds typed demos `Vec>`, optional instruction override, tools. Only thing that calls the LM. Implements both `Module` and `DynPredictor` (type-erased optimizer interface). Handle discovery is hard-cutover to shape-local `PredictAccessorFns` payload extraction (S2 Mechanism A). Missing/invalid payloads fail explicitly; runtime registry fallback is not used. | | +| **F6** | **Facet-powered parameter discovery** — A walker reflects over any `Facet` value, recurses through struct fields, and yields `(dotted_path, &dyn DynPredictor)` for predictor leaves. No manual traversal code. Replaces `#[derive(Optimizable)]` + `#[parameter]`. Handle resolution uses strict shape-local typed attrs (S2 Mechanism A) only. Container traversal over `Option`/list/map/`Box` is implemented; `Rc`/`Arc` and other unsupported pointer-like containers error explicitly. | | | **F7** | **Adapter building blocks** — ChatAdapter exposes public composable functions: `build_system()`, `format_input()`, `parse_sections()`, `parse_output()`. Modules that need fine-grained control (ReAct action loop) call these directly. Standard modules go through the high-level `format_system_message_typed::()` which calls building blocks internally. All operate on `SignatureSchema` (F2). | | -| **F8** | **DynPredictor vtable** — Type-erased interface for optimizer operations on a Predict leaf: get/set demos (as `Vec`), get/set instruction, get schema, `forward_untyped(BamlValue) -> BamlValue`. Current runtime obtains handles via registry-backed accessor fns; shape-local accessor payload extraction is the target mechanism once S2 constraints are lifted. Bridges typed Predict to untyped optimizer in both modes. | | +| **F8** | **DynPredictor vtable** — Type-erased interface for optimizer operations on a Predict leaf: get/set demos (as `Vec`), get/set instruction, get schema, `forward_untyped(BamlValue) -> BamlValue`. Handles are obtained from shape-local accessor payload extraction (S2 Mechanism A) with no runtime registry fallback. Bridges typed Predict to untyped optimizer in both modes. | | | **F9** | **DynModule + StrategyFactory** — `DynModule` is the dynamic equivalent of `Module` (BamlValue in/out, exposes internal predictors). `StrategyFactory` creates a `DynModule` from a `SignatureSchema` + config. Each module type (ChainOfThought, ReAct, etc.) registers a factory. Factories perform schema transformations (prepend reasoning, build action schema from tools, etc.) on `SignatureSchema` directly. | | | **F10** | **ProgramGraph** — Dynamic graph of `Node` (holds `DynModule` + `SignatureSchema`) and `Edge` (from_node.field → to_node.field). Edges validated by TypeIR compatibility at insertion time. Supports `add_node`, `remove_node`, `replace_node`, `connect`, `insert_between`. `insert_between` is contract-strict (inserted node must expose exactly one input and one output) and synchronizes schema from the inserted module before validating rewires. Execution follows topological order, piping `BamlValue` between nodes. Typed modules can be projected into a graph (via F6 walker), with optional explicit per-call annotations through `from_module_with_annotations` (no global annotation registry), and graph nodes can wrap typed modules internally. The reserved node name `"input"` is the pseudo-root for runtime input wiring (user nodes cannot use that name), duplicate edge insertions are rejected to keep graph wiring deterministic, and `fit(&mut module)` enforces strict 1:1 path mapping when writing graph state back into typed predictors. | | | **F11** | **Library modules** — Concrete implementations of DSPy's module zoo: `ChainOfThought` (F3 augmentation + Predict), `ReAct` (two Predicts + tool loop + builder API), `BestOfN` (wraps any Module), `Refine` (BestOfN + feedback, scoped context mechanism TBD), `ProgramOfThought` (three ChainOfThought + code interpreter), `MultiChainComparison` (M sources + comparison Predict). Each is generic over Signature, implements Module, and is discoverable via F6. | ⚠️ | @@ -105,7 +105,7 @@ All content below is preserved as a historical implementation record. **Notes:** - R2 satisfied by `Deref` coercion on wrapper types — `result.reasoning` is a direct field, `result.answer` resolves via Deref to inner type. S3 confirmed: auto-deref works through multiple layers for field reads and method calls. Pattern matching requires explicit layer-by-layer destructuring (acceptable — documented limitation). -- R4 satisfied by Facet walker (F6) + DynPredictor handles (F8). Current runtime uses registry-backed accessor lookup with explicit missing-accessor diagnostics for unregistered Predict-like leaves; target remains shape-local accessor payloads (S2 Mechanism A). `#[derive(Facet)]` on the module struct is the only authoring requirement. +- R4 satisfied by Facet walker (F6) + DynPredictor handles (F8). Runtime discovery is hard-cutover to shape-local accessor payloads (S2 Mechanism A), with explicit diagnostics when payloads are missing/invalid. `#[derive(Facet)]` on the module struct is the only authoring requirement. - R8 satisfied by both paths using `SignatureSchema` (F2) → same adapter building blocks (F7) → same prompt format. --- @@ -140,6 +140,17 @@ Each layer only exists if needed. A simple `Predict::::new().call(input)` to --- +## Explicit Limitations (Current Runtime) + +- Optimizer discovery does not traverse `Rc` or `Arc`. Encountering either container in the module tree is an explicit error (`TODO(dsrs-shared-ptr-policy)`). +- Media conversion is unsupported in optimizer discovery/state flows (`TODO(dsrs-media)`). +- Workspace pinning remains on a forked Facet git revision until upstream release alignment is complete (`TODO(dsrs-facet-pin)`). +- Signature derive type-validation logic is currently duplicated across macro/runtime layers and needs consolidation (`TODO(dsrs-derive-shared-validation)`). +- Schema construction still uses fail-fast panic semantics for unsupported shapes on the public convenience API (`TODO(dsrs-schema-result-api)`). +- Rust→Baml conversion currently panics on conversion failure instead of returning a fallible API (`TODO(dsrs-fallible-to-baml)`). + +--- + ## Spikes (Resolved) All spikes have been investigated and resolved. Full findings in `spikes/S{n}-*.md`. @@ -147,10 +158,10 @@ All spikes have been investigated and resolved. Full findings in `spikes/S{n}-*. | # | Question | Decision | Spike doc | |---|----------|----------|-----------| | **S1** | Can `#[derive(Signature)]` handle generic type parameters with `#[flatten]` fields? | **Option C: full replacement.** Build `SignatureSchema` from Facet, replace `FieldSpec` everywhere, delete the old system. No incremental migration. | `S1-generic-signature-derive.md` | -| **S2** | How does the Facet walker obtain a usable optimizer handle from a discovered Predict? | **Target:** Mechanism A (shape-local accessor payload). **Current runtime:** registry-backed accessor dispatch (with explicit errors for unregistered Predict-like leaves) while generic attr payload support remains blocked. | `S2-dynpredictor-handle-discovery.md` | +| **S2** | How does the Facet walker obtain a usable optimizer handle from a discovered Predict? | **Mechanism A hard-cutover.** Shape-local accessor payload extraction is the runtime behavior; registry fallback is removed. | `S2-dynpredictor-handle-discovery.md` | | **S3** | Does Rust auto-Deref chain resolve field access through nested augmentation wrappers? | **Yes for reads/methods**, no for pattern matching (don't care). `Deref`-only unless `DerefMut` is proven necessary. | `S3-augmentation-deref-composition.md` | | **S4** | What scoped-context mechanism for Refine's hint injection? | **Deferred.** Mechanism chosen when Refine is built. Findings preserved in spike doc. | `S4-refine-scoped-context.md` | -| **S5** | How does the Facet walker handle Option/Vec/HashMap/Box containers? | **Partially implemented.** Option/list/map/Box traversal is shipped; unsupported pointer-like containers (`Rc`, `Arc`, etc.) still error explicitly and remain deferred for broader policy decisions. | `S5-facet-walker-containers.md` | +| **S5** | How does the Facet walker handle Option/Vec/HashMap/Box containers? | **Implemented with explicit limits.** Option/list/map/Box traversal is shipped; `Rc`/`Arc` and other unsupported pointer-like containers error explicitly (`TODO(dsrs-shared-ptr-policy)`). Media conversion remains unsupported (`TODO(dsrs-media)`). | `S5-facet-walker-containers.md` | | **S6** | Migration path from FieldSpec/MetaSignature to Facet-derived SignatureSchema? | **Subsumed by S1 → Option C.** No migration — full replacement. | `S6-migration-fieldspec-to-signatureschema.md` | | **S7** | Can `#[derive(Augmentation)]` generate a generic wrapper from a non-generic struct? What about the `Augmented` phantom type? | **Yes, feasible.** All three derives handle generics. `from_parts`/`into_parts` removed from `Signature` trait — `Augmented` becomes a clean type-level combinator. | `S7-augmentation-derive-feasibility.md` | | **S8** | How does Facet flatten manifest in Shape metadata? | **`field.is_flattened()` flag check + `field.shape()` recurse.** Facet ships `fields_for_serialize()` as reference. Direct mapping to design pseudocode. | `S8-facet-flatten-metadata.md` | @@ -205,7 +216,7 @@ All spikes have been investigated and resolved. Full findings in `spikes/S{n}-*. **R13 (augmentation composition) has the thinnest coverage** — only F3. S3 confirmed auto-deref works for reads/methods, so the risk is mitigated. Pattern matching through nested wrappers requires explicit destructuring — acceptable for a Nice-to-have. -**R4 (automatic discovery) depends on F6 + F8 together.** F6 finds the values, F8 makes them operable. Current runtime uses registry-backed accessor resolution (no heuristic success path); S2 remains the cleanup path for strict shape-local payloads. +**R4 (automatic discovery) depends on F6 + F8 together.** F6 finds the values, F8 makes them operable. Runtime behavior is strict shape-local accessor payload extraction (hard-cutover); there is no registry fallback path. **R7 (dynamic graph) is the heaviest requirement** — needs F8, F9, AND F10. All three are Layer 3. This is expected — it's the most complex capability. diff --git a/docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md b/docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md index 0456c0d5..8d835a5b 100644 --- a/docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md +++ b/docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md @@ -4,7 +4,12 @@ S2 asks for the concrete mechanism that lets a Facet-based walker discover predictor leaves and return usable optimizer handles (`&dyn DynPredictor` / `&mut dyn DynPredictor`) without manual traversal boilerplate. It is explicitly marked high-priority and blocks R4 in shaping/design (`docs/specs/modules/shapes.md:241`, `docs/specs/modules/design_reference.md:1007`). -The current runtime still uses `Optimizable::parameters()` with manual `#[derive(Optimizable)]` + `#[parameter]`, so S2 must bridge from that model to automatic Facet discovery. +This spike captured the cutover from manual `Optimizable::parameters()` discovery (`#[derive(Optimizable)]` + `#[parameter]`) to automatic Facet discovery. + +## Current Behavior Addendum (2026-02-12) + +Hard cutover is complete: runtime discovery uses shape-local accessor payload extraction (Mechanism A) only. +Runtime registry-based handle resolution is not part of current behavior. ## Goal @@ -31,16 +36,16 @@ Identify the most practical first implementation for S2 that: - `Optimizable` requires `parameters(&mut self) -> IndexMap` (`crates/dspy-rs/src/core/module.rs:89`). - Optimizers repeatedly look up dotted names and mutate predictors (`crates/dspy-rs/src/optimizer/copro.rs:221`, `crates/dspy-rs/src/optimizer/mipro.rs:419`, `crates/dspy-rs/src/optimizer/gepa.rs:442`). -2. Current discovery is manual and annotation-driven. +2. Pre-cutover discovery was manual and annotation-driven. - `Optimizable` derive is keyed on `#[parameter]` (`crates/dsrs-macros/src/lib.rs:17`). - Macro extraction only includes fields with that annotation (`crates/dsrs-macros/src/optim.rs:72`, `crates/dsrs-macros/src/optim.rs:78`). - Flattening uses unsafe casts to create leaf handles (`crates/dsrs-macros/src/optim.rs:49`, `crates/dsrs-macros/src/optim.rs:54`). -3. Predictor leaves are currently exposed only through `Optimizable` leaf behavior. +3. At spike start, predictor leaves were exposed only through `Optimizable` leaf behavior. - `Predict` and `LegacyPredict` both return empty child maps (`crates/dspy-rs/src/predictors/predict.rs:503`, `crates/dspy-rs/src/predictors/predict.rs:667`). - - There is no concrete `DynPredictor` trait in current runtime code. + - At spike start, there was no concrete `DynPredictor` trait in runtime code. -4. Test coverage validates nested struct flattening, but not container traversal (`Option`/`Vec`/`Map`) or Facet auto-discovery. +4. At spike time, test coverage validated nested struct flattening, but not container traversal (`Option`/`Vec`/`Map`) or Facet auto-discovery. - Existing tests exercise nested named-field flattening (`crates/dspy-rs/tests/test_optimizable.rs:39`, `crates/dspy-rs/tests/test_optimizable.rs:64`). - `cargo test -p dspy-rs --test test_optimizable` passes (3/3) as of February 9, 2026. @@ -64,8 +69,8 @@ Decision criteria: satisfy Q1 handle contract, preserve S5 container recursion, | Mechanism | Q1: mutable handle contract | Q3/Q4/S5: Facet traversal + typed payload fit | Migration risk | Verdict | |---|---|---|---|---| -| **A. Shape-local accessor payload (`dsrs::parameter` + fn ptr payload)** | **Strong**: direct cast to `&mut dyn DynPredictor` at leaf | **Strong**: matches existing typed attr payload pattern and recursive reflection model | **Medium**: requires one audited unsafe boundary | **Best first implementation** | -| **B. Global registry (shape/type id → accessor)** | **Strong**: can return mutable handles | **Medium**: traversal still works, but handle resolution depends on external registration | **High**: init-order, registration drift, harder debugging | **Fallback only** | +| **A. Shape-local accessor payload (`dsrs::predict_accessor` + fn ptr payload)** | **Strong**: direct cast to `&mut dyn DynPredictor` at leaf | **Strong**: matches existing typed attr payload pattern and recursive reflection model | **Medium**: requires one audited unsafe boundary | **Best first implementation** | +| **B. Global registry (shape/type id → accessor)** | **Strong**: can return mutable handles | **Medium**: traversal still works, but handle resolution depends on external registration | **High**: init-order, registration drift, harder debugging | **Not used in hard-cutover runtime** | | **C. Store dyn handle inside `Predict` state** | **Medium**: contract works but via extra indirection | **Weak**: bypasses Facet metadata path and adds ownership complexity | **High**: invasive runtime state changes | **Reject for V1** | ## Recommended Approach @@ -73,8 +78,8 @@ Decision criteria: satisfy Q1 handle contract, preserve S5 container recursion, **Decision:** implement **Mechanism A** for S2 V1. **Scope for this spike outcome:** -- **In:** shape-local accessor payload on `Predict`, Facet walker discovery, compatibility shim for current optimizers. -- **Deferred:** registry-based indirection (Mechanism B) unless later required by cross-crate runtime loading. +- **In:** shape-local accessor payload on `Predict`, Facet walker discovery, compatibility shim for optimizer call sites. +- **Out:** registry-based indirection (Mechanism B). - **Out:** interior dyn-handle state in `Predict` (Mechanism C). Why this path is crisp: @@ -89,7 +94,7 @@ Why this path is crisp: | 1 | Introduce `DynPredictor` trait and `PredictAccessorFns` payload type (opaque, fn-pointer based) | Compile-time check that `Predict: DynPredictor`; payload type is `'static + Copy` and can be stored in Facet attr grammar | | 2 | Add `dsrs` attr grammar entries for predictor marker + accessor payload | Unit test can read `Predict::::SHAPE` attrs and decode payload via typed `get_as` | | 3 | Implement `DynPredictor` for `Predict` and attach payload on `Predict` shape | Unit test obtains payload from shape and successfully reads/updates predictor instruction through returned dyn handle | -| 4 | Implement `named_predictors_mut` walker over Facet-reflect values (struct/list/map/option/pointer; stop descent at predictor leaves) | Snapshot test returns expected dotted paths for nested fixture module (e.g. `retrieve`, `answer.predict`) | +| 4 | Implement `visit_named_predictors_mut` walker over Facet-reflect values (struct + `Option`/list/array/slice/string-key map/`Box`; stop descent at predictor leaves; explicit `Rc`/`Arc` erroring) | Snapshot/behavior tests return expected dotted paths for nested fixture modules (e.g. `retrieve.predict`, `answer.predict`) and explicit errors for unsupported containers | | 5 | Define deterministic path encoding (`field`, `[idx]`, `['key']`) + cycle guard behavior | Repeated runs (e.g. 100 iterations) return identical order/paths for the same module instance | | 6 | Add compatibility shim from new discovery output to current optimizer mutation flow | Existing optimizer tests/smokes still mutate instructions by dotted name without changing optimizer call sites | | 7 | Add container and failure-path tests | Tests cover `Option>`, `Vec>`, `Map>`, and missing/invalid payload decode errors | @@ -107,8 +112,13 @@ S2 is complete when: - The mechanism is documented with clear unsafe boundaries and invariants. - Baseline compatibility remains green (`cargo test -p dspy-rs --test test_optimizable`). +## Explicit Limitations (Current Runtime) + +- Optimizer discovery does not traverse `Rc` or `Arc` containers (`TODO(dsrs-shared-ptr-policy)`). +- Media conversion is unsupported in optimizer discovery/state flows (`TODO(dsrs-media)`). + ## Open Risks - Unsafe cast boundary for payload-based handle extraction must be tightly documented and audited. - Map-key ordering policy for dotted paths must be explicit to avoid optimizer cache churn across runs. -- If structural optimization later requires loading strategies from crates not linked at compile time, Mechanism B (registry fallback) may still be needed. +- If structural optimization later requires loading strategies from crates not linked at compile time, a separate registration design would need to be evaluated as new work. diff --git a/docs/specs/modules/spikes/S5-facet-walker-containers.md b/docs/specs/modules/spikes/S5-facet-walker-containers.md index 16544fe9..d4824492 100644 --- a/docs/specs/modules/spikes/S5-facet-walker-containers.md +++ b/docs/specs/modules/spikes/S5-facet-walker-containers.md @@ -16,6 +16,11 @@ Establish a concrete first-pass container traversal strategy for S5, grounded in - Facet primitives/capabilities (NIA evidence), - and explicit limits that affect path determinism and trait-object handling. +## Current Behavior Addendum (2026-02-12) + +Hard cutover is complete for optimizer discovery handles: shape-local accessor payload extraction is the runtime behavior. +Container traversal is implemented for `Option`/`Vec`/`HashMap`/`Box` with explicit unsupported-container errors for `Rc`/`Arc`. + ## Questions | ID | Question | @@ -29,7 +34,7 @@ Establish a concrete first-pass container traversal strategy for S5, grounded in ## Findings (with Evidence) -1. Current optimizer discovery is still manual `Optimizable` recursion, not Facet walker recursion. +1. At spike start, optimizer discovery was manual `Optimizable` recursion, not Facet walker recursion. - `Optimizable` requires `parameters(&mut self) -> IndexMap`: `crates/dspy-rs/src/core/module.rs:84`. - `#[derive(Optimizable)]` only includes fields tagged `#[parameter]` and recursively flattens by calling child `parameters()`; no explicit container branching logic exists in the derive: `crates/dsrs-macros/src/optim.rs:41`, `crates/dsrs-macros/src/optim.rs:50`, `crates/dsrs-macros/src/optim.rs:72`, `crates/dsrs-macros/src/optim.rs:92`. - Existing tests cover nested struct flattening only (`a`, `b.predictor`, `p.b.predictor`), not `Option`/`Vec`/`HashMap`: `crates/dspy-rs/tests/test_optimizable.rs:39`, `crates/dspy-rs/tests/test_optimizable.rs:64`, `crates/dspy-rs/tests/test_optimizable.rs:103`. @@ -75,11 +80,11 @@ Establish a concrete first-pass container traversal strategy for S5, grounded in ## Decision -**Deferred.** Container traversal (`Option`/`Vec`/`HashMap`/`Box`) is not needed for V1 library modules — all use struct-field recursion only (ChainOfThought has `predict: Predict<...>`, ReAct has `action: Predict<...>`, BestOfN wraps `module: M`). Container traversal will be implemented when a concrete use case requires it. The spike findings and tradeoff analysis are preserved below for when that happens. +**Implemented (hard-cutover runtime).** Container traversal over `Option`/`Vec`/`HashMap`/`Box` is part of current optimizer discovery behavior. Runtime handle extraction uses shape-local accessor payloads (S2 Mechanism A) only. Unsupported pointer-like containers (`Rc`, `Arc`, trait-object pointers) return explicit errors. -## Original Recommendation (not adopted) +## Adopted Strategy -The spike originally recommended Option C (hybrid walker): +The spike recommends Option C (hybrid walker): Rationale: - S5 requires container *runtime* handling, not just type graph coverage. @@ -120,7 +125,12 @@ Rationale: 5. Add explicit unsupported handling for trait-object pointers (`Box`) with clear compile/design-time diagnostics and dynamic-graph fallback guidance. 6. Add cycle protection for pointer/self-referential graphs to avoid infinite recursion. 7. Add tests for each matrix row: positive cases (`Option`, `Vec`, `HashMap`, `Box`) and negative trait-object coverage. -8. Add compatibility shim from current `Optimizable::parameters()` callers to the new walker so optimizers can migrate incrementally. +8. Add compatibility shim from legacy `Optimizable::parameters()` callers to the new walker so optimizers can migrate incrementally. + +## Explicit Limitations (Current Runtime) + +- Optimizer discovery does not traverse `Rc` or `Arc` containers (`TODO(dsrs-shared-ptr-policy)`). +- Media conversion is unsupported in optimizer discovery/state flows (`TODO(dsrs-media)`). ## Acceptance diff --git a/sub-agents.md b/sub-agents.md new file mode 100644 index 00000000..90c1abed --- /dev/null +++ b/sub-agents.md @@ -0,0 +1,76 @@ +# Sub-Agent Orchestration Log + +Last updated: 2026-02-13T00:36:57Z + +Rules: +- Update this file before spawning any sub-agent. +- Update this file before closing any sub-agent. +- Keep implementation and review ownership explicit and non-overlapping. + +## Planned Implementation Agents + +| label | role | status | agent_id | owner files | +|---|---|---|---|---| +| impl-A | S2 cutover in dspy core | completed-awaiting-review-handoff-closed | 019c53f3-b492-7a80-a0b6-561ce33b05f1 | crates/dspy-rs/src/core/dyn_predictor.rs; crates/dspy-rs/src/predictors/predict.rs; crates/dspy-rs/src/core/mod.rs; crates/dspy-rs/src/lib.rs | +| impl-B | bamltype strictness and runtime fallback removal | handed-to-rev-B-closed | 019c53f3-b4a3-7f10-af3f-98ae7918503b | crates/bamltype/src/schema_builder.rs; crates/bamltype/src/lib.rs; crates/bamltype/src/runtime.rs; crates/bamltype/src/convert.rs | +| impl-C | Signature derive strict validation + macro tests | completed-awaiting-review-handoff-closed | 019c53f3-b4b6-7610-95a5-994923e7eed0 | crates/dsrs-macros/src/lib.rs; crates/dsrs-macros/tests/ui.rs; crates/dsrs-macros/tests/ui/*; crates/dsrs-macros/tests/signature_derive.rs | +| impl-D | facet pin + docs/spec honesty pass | completed-reviewed-pass | 019c53f3-b4ce-7ae0-aebd-f27484a9cad5 | Cargo.toml; Cargo.lock; docs/specs/modules/shapes.md; docs/specs/modules/breadboard.md; docs/specs/modules/spikes/S2-dynpredictor-handle-discovery.md; docs/specs/modules/spikes/S5-facet-walker-containers.md | +| impl-E | external-consumer compile-fail blocker fix (Predict generic attr path) | completed-reviewed-pass-closed | 019c5411-10e4-7d20-8b2b-8abe0b4ae801 | crates/dspy-rs/Cargo.toml; crates/bamltype/Cargo.toml; crates/dspy-rs/tests/test_public_api_compile_fail.rs | + +## Planned Review Agents + +| label | role | status | agent_id | target | +|---|---|---|---|---| +| rev-A | adversarial review for impl-A | completed-reviewed-pass-round-2 | 019c53fd-f53b-7022-ba36-371b960cf1a1 | impl-A | +| rev-B | adversarial review for impl-B | completed-reviewed-pass-round-2 | 019c53f9-e211-7a73-a067-d6845f22a326 | impl-B | +| rev-C | adversarial review for impl-C | completed-reviewed-pass-round-2 | 019c53fc-7965-7023-99a7-b3b3433c6a3e | impl-C | +| rev-D | adversarial review for impl-D | completed-pass | 019c53f8-6913-7363-9e62-94ea82dac0c9 | impl-D | +| rev-E | adversarial review for impl-E | completed-pass-closed | 019c5415-ceaf-70a0-bd7e-0a439a5aa062 | impl-E | +| rev-F | adversarial final full-scope hardening gate | completed-pass-closed | 019c541d-ad4e-7540-8a29-78cb32ccdb19 | impl-A..E aggregate | +| rev-G | adversarial static/fallback regression audit (post callback refactor) | completed-pass-closed | 019c543a-2f49-73f0-af32-e8b31e9515c7 | impl-A..E aggregate + callback refactor | +| rev-H | adversarial behavioral hostile-fixture audit (post callback refactor) | completed-pass-closed | 019c543a-2f5a-7111-a771-56d55bd93259 | impl-A..E aggregate + callback refactor | +| rev-I | adversarial docstring/spec honesty + TODO alignment audit | completed-fail-closed-superseded-by-rev-I2 | 019c543a-2f6e-77b0-beea-7d95db75f5bb | impl-A..E aggregate + callback refactor | +| rev-I2 | adversarial docstring/spec honesty re-review after fixes | completed-pass-closed | 019c543f-5427-7ef1-81b7-8dd4ace73a5d | rev-I findings patchset | + +## Notes + +- Existing unrelated dirty working copy was present before orchestration; do not revert unrelated edits. + +- 2026-02-12T22:34:55Z queued rev-B2 (re-review after rev-B fix) +- 2026-02-12T22:35:05Z rev-B2 running id=019c53fe-4f74-7e80-99b4-4b897ce8deff target=impl-B +- 2026-02-12T22:35:26Z rev-C found normalization bug and entered fix mode +- 2026-02-12T22:35:53Z rev-A switching to add missing S2 error-path tests +- 2026-02-12T22:38:07Z queued rev-C2 (re-review after rev-C fix) +- 2026-02-12T22:38:16Z rev-C2 running id=019c5401-3a05-78e2-8ad2-0d05a2dd2140 target=impl-C +- 2026-02-12T22:42:09Z queued rev-A2 (re-review after rev-A fix) +- 2026-02-12T22:42:25Z rev-B2 pass id=019c53fe-4f74-7e80-99b4-4b897ce8deff +- 2026-02-12T22:42:25Z rev-C2 pass id=019c5401-3a05-78e2-8ad2-0d05a2dd2140 +- 2026-02-12T22:42:42Z rev-A2 running id=019c5405-3dcd-7f92-af3c-da985ded9106 target=impl-A +- 2026-02-12T22:44:12Z rev-A2 pass id=019c5405-3dcd-7f92-af3c-da985ded9106 +- 2026-02-12T22:55:08Z queued impl-E + rev-E for residual E0401 external-consumer compile-fail blocker +- 2026-02-12T22:55:37Z impl-E running id=019c5411-10e4-7d20-8b2b-8abe0b4ae801 +- 2026-02-12T22:58:40Z impl-E completed id=019c5411-10e4-7d20-8b2b-8abe0b4ae801; awaiting rev-E +- 2026-02-12T23:00:29Z about to spawn rev-E against impl-E (including fork URL pin alignment and regression run) +- 2026-02-12T23:00:43Z rev-E running id=019c5415-ceaf-70a0-bd7e-0a439a5aa062 target=impl-E +- 2026-02-12T23:08:38Z rev-E completed pass; preparing to close impl-E and rev-E +- 2026-02-12T23:08:50Z impl-E closed id=019c5411-10e4-7d20-8b2b-8abe0b4ae801 +- 2026-02-12T23:08:50Z rev-E closed id=019c5415-ceaf-70a0-bd7e-0a439a5aa062 +- 2026-02-12T23:09:03Z queued rev-F for final full-scope adversarial hardening gate +- 2026-02-12T23:09:18Z rev-F running id=019c541d-ad4e-7540-8a29-78cb32ccdb19 target=full hardening scope +- 2026-02-12T23:16:07Z rev-F completed pass; preparing close +- 2026-02-12T23:16:18Z rev-F closed id=019c541d-ad4e-7540-8a29-78cb32ccdb19 +- 2026-02-13T00:19:20Z queued rev-G/rev-H/rev-I for post-callback-refactor adversarial re-gate +- 2026-02-13T00:20:28Z rev-G running id=019c543a-2f49-73f0-af32-e8b31e9515c7 target=static/fallback/unsafe audit +- 2026-02-13T00:20:28Z rev-H running id=019c543a-2f5a-7111-a771-56d55bd93259 target=behavioral hostile-fixture/test audit +- 2026-02-13T00:20:28Z rev-I running id=019c543a-2f6e-77b0-beea-7d95db75f5bb target=doc honesty + TODO alignment audit +- 2026-02-13T00:24:38Z rev-H completed pass id=019c543a-2f5a-7111-a771-56d55bd93259 +- 2026-02-13T00:26:18Z rev-G completed pass id=019c543a-2f49-73f0-af32-e8b31e9515c7 +- 2026-02-13T00:27:42Z rev-I completed fail id=019c543a-2f6e-77b0-beea-7d95db75f5bb findings=P1/P2 doc drift +- 2026-02-13T00:33:41Z queued rev-I2 for doc-honesty re-review after patching rev-I findings +- 2026-02-13T00:34:17Z rev-I2 running id=019c543f-5427-7ef1-81b7-8dd4ace73a5d target=doc honesty re-review +- 2026-02-13T00:35:32Z rev-I2 completed pass id=019c543f-5427-7ef1-81b7-8dd4ace73a5d +- 2026-02-13T00:36:12Z about to close rev-G/rev-H/rev-I/rev-I2 after re-gate completion +- 2026-02-13T00:36:57Z rev-G closed id=019c543a-2f49-73f0-af32-e8b31e9515c7 +- 2026-02-13T00:36:57Z rev-H closed id=019c543a-2f5a-7111-a771-56d55bd93259 +- 2026-02-13T00:36:57Z rev-I closed id=019c543a-2f6e-77b0-beea-7d95db75f5bb (superseded by rev-I2 pass) +- 2026-02-13T00:36:57Z rev-I2 closed id=019c543f-5427-7ef1-81b7-8dd4ace73a5d

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