From 7b40999bff129880c8c8867f883f5c5fa9b3f87a Mon Sep 17 00:00:00 2001
From: Jack Ryan <61809814+jackaldenryan@users.noreply.github.com>
Date: Sat, 6 Dec 2025 01:13:26 +0000
Subject: [PATCH] Test-submission
---
.../evaluation_results_20251206T010421.json | 2297 +++++++++++++++++
.../evaluation_results_20251206T010836.json | 2291 ++++++++++++++++
zep-eval-harness/zep_evaluate.py | 6 +-
3 files changed, 4591 insertions(+), 3 deletions(-)
create mode 100644 zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010421.json
create mode 100644 zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010836.json
diff --git a/zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010421.json b/zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010421.json
new file mode 100644
index 0000000..2dfb49a
--- /dev/null
+++ b/zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010421.json
@@ -0,0 +1,2297 @@
+{
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+ "question": "What type of quotes do I prefer in Python code?",
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+ "question": "What type of quotes do I prefer in TypeScript?",
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+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen is requesting the use of single quotes in TypeScript. (Date range: 2024-03-17T14:31:00Z - present)\n\nSingle quotes in TypeScript are a required formatting element. (Date range: 2024-03-17T14:31:00Z - present)\n\nMarcus Chen considers 'any' types in TypeScript to be pet peeves and requests replacement. (Date range: 2024-03-18T15:01:00Z - present)\n\nMarcus Chen suggests replacing 'any' types in TypeScript with 'unknown' if something generic is required. (Date range: 2024-03-18T15:01:00Z - present)\n\nMarcus Chen is requesting 2 spaces for indentation specifically for TypeScript work. (Date range: 2024-03-17T14:31:00Z - 2024-03-23T15:00:00Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: single quotes in TypeScript\nLabels: Preference\nSummary: Marcus Chen requested single quotes for TypeScript files and camelCase for function names like handleAcceptShare, which the assistant implemented.\n\nName: 2 spaces for indentation\nLabels: Preference\nSummary: Marcus Chen requested 2-space indentation and single quotes for TypeScript files, which the assistant confirmed implementing after creating TaskShareCard.tsx.\n\nName: esbenp.prettier-vscode\nLabels: Entity\nSummary: The entity 'esbenp.prettier-vscode' is set as the default formatter for TypeScript files in Marcus Chen's VS Code settings (.vscode/settings.json).\n\nName: TaskResponse type\nLabels: Topic\nSummary: The TaskResponse type was introduced to replace an 'any' type in TypeScript code, addressing Marcus Chen's preference against using 'any'.\n\nName: 'any' types in TypeScript\nLabels: Topic\nSummary: Marcus Chen requested removal of 'any' types in a frontend PR; the review found 1 'any' type in the API response handler, which Mar",
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+ {
+ "question": "What's my minimum test coverage requirement?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe coverage of the new code (94%) was above the 80% minimum requirement established by the Assistant. (Date range: 2024-03-16T11:03:30Z - 2024-03-19T14:00:30Z)\n\nMarcus Chen requires at least 80% coverage on new code. (Date range: 2024-03-16T11:03:00Z - present)\n\nThe new code achieved 94% coverage verified by the Assistant. (Date range: 2024-03-16T11:03:30Z - 2024-03-19T14:00:30Z)\n\nMarcus Chen wants the full test suite to be run. (Date range: 2024-03-16T11:03:00Z - 2024-03-16T11:03:30Z)\n\nThe CI pipeline requires that the tests pass. (Date range: 2024-03-19T14:00:00Z - 2024-03-19T14:00:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: new code\nLabels: Topic\nSummary: Marcus Chen requested running the full test suite with pytest and confirmed the new code achieved 94% coverage, exceeding the 80% minimum.\n\nName: task service\nLabels: Entity\nSummary: Marcus Chen confirmed a fix for the task service was committed with the message \"fix: resolve priority update validation error in task service\" after achieving 94% test coverage.\n\nName: tests\nLabels: Topic\nSummary: Marcus Chen confirmed deployment today after CI pipeline passed, showing tests achieved 92% coverage.\n\nName: pytest\nLabels: Entity\nSummary: Marcus Chen configured pytest in taskflow-api, requiring version >=7.0 and settings for coverage reporting (--cov=src, --cov-fail-under=80).\n\nName: test suite\nLabels: Topic\nSummary: Marcus Chen requested running the full test suite with pytest, which resulted in 147 passing tests and 94% coverage on new code.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.310825Z) {\"description\":\"Node.js package configuration from package.json for Marcus Chen",
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+ "question": "What port does my local PostgreSQL database run on?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nPostgreSQL uses port 5433 to run on the local database. (Date range: 2024-03-20T09:02:00Z - 2024-03-20T09:02:30Z)\n\nThe postgres service exposes port 5433 on the host, mapping to port 5432 internally, as specified in docker-compose.yml. (Date range: 2025-12-04T02:42:48.297Z - present)\n\nThe connection string in .env.local specifies PostgreSQL should use port 5433. (Date range: 2024-03-20T09:03:30Z - 2025-12-04T02:42:48.297Z)\n\nPostgreSQL was mapped to port 5433 via Docker Compose (Date range: 2024-03-20T09:02:30Z - 2025-12-04T02:42:48.297Z)\n\nThe file .env.local contains the local PostgreSQL connection string. (Date range: 2024-03-20T09:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local database\nLabels: Location\nSummary: The local database setup requires PostgreSQL running in Docker Compose on port 5433 to avoid conflicts with local installations.\n\nName: port 5433\nLabels: Location\nSummary: PostgreSQL runs in Docker Compose on port 5433 to avoid conflicts with local installations. The local database connection string uses this port.\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: PostgreSQL\nLabels: Entity\nSummary: Marcus Chen uses PostgreSQL via Docker Compose on port 5433 to avoid conflicts. The setup involved starting the container, verifying the connection, and running Alembic migrations.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting",
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+ {
+ "question": "What package manager do I use for Python?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\npip was previously used for Python package management. (Date range: 2024-03-20T09:01:00Z - present)\n\nuv has replaced pip for Python package management. (Date range: 2024-03-20T09:01:00Z - present)\n\nuv is used for Python package management. (Date range: 2024-03-20T09:01:00Z - present)\n\nMarcus Chen needs to set up uv for Python package management. (Date range: 2024-03-20T09:01:00Z - present)\n\npnpm is being installed for Node.js package management. (Date range: 2024-03-20T09:01:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Python package management\nLabels: Topic\nSummary: Marcus Chen needs to set up uv for Python package management as the team recently switched from using pip.\n\nName: pnpm\nLabels: Entity\nSummary: Marcus Chen uses pnpm@8.6.0 as the package manager for his 'taskflow-frontend' project, which includes dependencies like React and Zustand.\n\nName: PATH\nLabels: Location\nSummary: The user's shell configuration setup included verifying that uv package manager was added to the PATH location.\n\nName: Node.js\nLabels: Topic\nSummary: pnpm, the Node.js package manager, was installed for Marcus Chen's development setup via curl.\n\nName: Python\nLabels: Topic\nSummary: Marcus Chen's VS Code settings enable Vim mode, format on save, and use Ruff for Python formatting/linting. Python indentation is set to 4 spaces in settings.json.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.310825Z) {\"description\":\"Node.js package configuration from package.json for Marcus Chen's TaskFlow frontend\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"package.json\",\"name\":\"taskflow-frontend\",\"packageManager\":\"pnpm@8.6.0\",\"scripts\":{\"d",
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+ "question": "What package manager do I use for Node.js?",
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+ "question": "What framework do I use for the backend?",
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+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\nThe task list component should use React Query for server state management. (Date range: 2024-03-22T10:00:00Z - present)\n\nThe request/response models were created using Pydantic v2. (Date range: 2024-03-15T10:48:30Z - present)\n\nThe task sharing feature involves backend code. (Date range: 2024-03-18T09:15:00Z - present)\n\nMarcus Chen is associated with the TaskFlow backend configuration. (Date range: 2025-12-04T00:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: TaskFlow backend\nLabels: Topic\nSummary: The TaskFlow backend project configuration, sourced from pyproject.toml, specifies Python >=3.11, uses Ruff (line-length 88), pytest (cov-fail-under=80), and dependencies like fastapi, sqlalchemy, pydantic, and alembic.\n\nName: pyproject.toml\nLabels: Document\nSummary: The pyproject.toml file configures Marcus Chen's TaskFlow backend project, 'taskflow-api', requiring Python >=3.11. It specifies Ruff settings (line-length 88) and Pytest options, with dependencies including FastAPI and SQLAlchemy.\n\nName: SQLAlchemy 2.0\nLabels: Topic\nSummary: The system is being updated to use SQLAlchemy 2.0 with an async setup, requiring external API calls to use httpx for asynchronous compatibility.\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: task sharing feature\nLabels: Topic\nSummary: Marcus Chen requested a PR for the 'task sharing feature' (feat/TF-247-task",
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+ "question": "What do I use for state management in React?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe task list component should use React Query for server state management. (Date range: 2024-03-22T10:00:00Z - present)\n\nZustand should be kept only for client-side UI state. (Date range: 2024-03-22T10:00:00Z - present)\n\nThe filter/sort UI state for the task list component was moved to a Zustand store. (Date range: 2024-03-22T10:00:30Z - present)\n\nReact Query was recently switched to TanStack Query. (Date range: 2024-03-22T10:00:00Z - present)\n\nThe imports now include React Query. (Date range: 2024-03-17T14:32:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: client-side UI state\nLabels: Topic\nSummary: Zustand should only be used for managing client-side UI state in the task list component.\n\nName: task list component\nLabels: Entity\nSummary: The task list component was refactored to use React Query (TanStack Query) for fetching/caching tasks, keeping Zustand for filter/sort UI state, as requested by Marcus Chen.\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\nName: TanStack Query\nLabels: Topic\nSummary: Marcus Chen's TaskFlow frontend uses TanStack Query (version ^4.29.0) as a dependency. The TaskList component was refactored to use it for server state, while filter/sort UI state uses Zustand.\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\n\n\n# These are the most relevant episodes\n\n(",
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+ "completeness_reasoning": "The context explicitly states that Zustand is a dependency, is used alongside TanStack Query, and should be kept for client-side UI state (filter/sort UI state). It also references React in the project. These facts directly support the golden answer that Zustand is used for state management in React (specifically client-side UI state). No critical information from the golden answer is missing.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Zustand is a dependency in the project",
+ "Zustand should be used for client-side UI state",
+ "Zustand is used for filter/sort UI state in the TaskList",
+ "React is used in the project",
+ "TanStack Query/React Query is used for server state, distinguishing responsibilities"
+ ],
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+ "answer": "Use TanStack Query (React Query) for server state (data fetching/caching) and Zustand for client-side UI state (e.g., filter/sort).",
+ "golden_answer": "You use Zustand for state management in React.",
+ "answer_grade": true,
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+ "total_output_tokens": 591
+ },
+ {
+ "question": "What linter do I use for Python?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\npython.linting.ruffEnabled is configured within the python settings in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\nruff is specified as the python.formatting.provider within the python settings in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe 'lint' script executes eslint. (Date range: 2025-12-04T02:42:48.31Z - present)\n\nAll Python code requires the presence of type hints. (Date range: 2024-03-21T11:01:00Z - 2024-03-21T11:01:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: python.formatting.provider\nLabels: Topic\nSummary: Marcus Chen's VS Code settings specify 'ruff' as the Python formatting provider. His Python linting also uses Ruff.\n\nName: Python\nLabels: Topic\nSummary: Marcus Chen's VS Code settings enable Vim mode, format on save, and use Ruff for Python formatting/linting. Python indentation is set to 4 spaces in settings.json.\n\nName: Python code\nLabels: Topic\nSummary: Python code in src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization and breakdown. Type hints are now required in all Python code.\n\nName: ruff\nLabels: Entity\nSummary: Marcus Chen's taskflow-api project configuration using pyproject.toml sets ruff to use line-length 88 and select/fix E, F, and I codes.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3654,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 855.3802967071533,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that Ruff is used for Python linting: python.linting.ruffEnabled is configured and python.formatting.provider is set to 'ruff' in VS Code settings. Entities and facts also describe project configuration (pyproject.toml) and summaries confirming Marcus Chen's setup uses Ruff for Python formatting/linting. These elements fully support the golden answer that Ruff is used for Python linting.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "python.linting.ruffEnabled configured",
+ "python.formatting.provider set to 'ruff'",
+ "Entity summaries stating Ruff is used for Python formatting/linting",
+ "pyproject.toml config for ruff"
+ ],
+ "completeness_duration_ms": 5571.831226348877,
+ "answer": "You're using Ruff as the Python linter (and configured as the formatting provider) in your project.",
+ "golden_answer": "You use ruff for Python linting.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly states that Ruff is being used as the Python linter, matching the golden answer\u2019s essential information. The additional note about it being configured as the formatting provider does not contradict or omit any key detail.",
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+ "total_input_tokens": 2244,
+ "total_output_tokens": 562
+ },
+ {
+ "question": "What's the name of the junior developer I mentor?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen is mentoring Tyler, a junior developer. (Date range: 2024-03-18T15:00:00Z - present)\n\nMarcus Chen performs code reviews first thing in the morning. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nTyler is joining Marcus Chen for pair programming on the frontend PR. (Date range: 2024-03-18T15:00:00Z - present)\n\nMarcus Chen uses VS Code for development. (Date range: 2024-03-20T09:00:00Z - present)\n\nMarcus Chen uses iTerm2 for his development environment. (Date range: 2024-03-20T09:01:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Assistant\nLabels: Assistant\nAttributes:\n assistant_name: None\nSummary: Assistant fixed a bug in task_service.py where priority validation used the wrong enum, resolving a failing integration test, after Marcus Chen requested using factory_boy for tests.\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\nName: dev\nLabels: Entity\nSummary: Marcus Chen uses the script \"dev\" with value \"vite\" in the package.json for the 'taskflow-frontend' project, managed by pnpm@8.6.0.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.28694Z) {\"description\":\"Python project co",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3276,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 855.4372787475586,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The CONTEXT explicitly states the mentoring relationship: 'Marcus Chen is mentoring Tyler, a junior developer' with a present date range. This directly provides all elements required by the golden answer (the mentee's name and that they are a junior developer). No additional information is necessary to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Marcus Chen is mentoring Tyler",
+ "Tyler is a junior developer",
+ "Mentorship relationship is current (present date range)"
+ ],
+ "completeness_duration_ms": 4646.474838256836,
+ "answer": "You mentor Tyler.",
+ "golden_answer": "You mentor a junior developer named Tyler.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes the essential information from the golden answer: it states you mentor Tyler. The junior developer\u2019s name (Tyler) and the mentoring relationship are both present, so it is semantically equivalent.",
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+ "grading_duration_ms": 3503.39937210083,
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+ "grading_output_tokens": 60,
+ "total_input_tokens": 2199,
+ "total_output_tokens": 312
+ },
+ {
+ "question": "What days am I allowed to deploy?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays. (Date range: 2024-03-19T14:01:00Z - 2024-03-19T14:01:30Z)\n\nMarcus Chen stated that they can deploy if the CI pipeline passes. (Date range: 2024-03-19T14:00:00Z - present)\n\nThe deployment to AWS ECS is happening today because it is Tuesday. (Date range: 2024-03-19T14:01:30Z - present)\n\nMarcus Chen asked that Priya Patel be notified about the deployment trigger. (Date range: 2024-03-19T14:02:00Z - present)\n\nGitHub Actions is used as the method for deployment to AWS ECS. (Date range: 2024-03-19T14:01:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: GitHub Actions\nLabels: Entity\nSummary: Marcus Chen confirmed the CI pipeline on GitHub Actions passed (lint, type-check, 92% coverage). GitHub Actions is used to deploy to AWS ECS on Tuesdays and Thursdays.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: code reviews\nLabels: Event\nSummary: Marcus Chen performs code reviews first thing in the morning, typically between 10:00 AM and the 10:30 AM standup.\n\nName: feature flag\nLabels: Entity\nSummary: Marcus Chen requested a LaunchDarkly feature flag ('task-sharing-enabled') for the new feature before the demo on the 15th; the assistant implemented it to return a 404 when disabled.\n\nName: work\nLabels: Topic\nSummary: The entity 'work' is mentioned as one of the categories used by the AI task categorization feature, which utilizes GPT-4 via LangChain.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I mi",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2924,
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+ "completeness_reasoning": "The context explicitly states that Marcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays. The entities section further reiterates that deployments occur on Tuesdays and Thursdays. Therefore the context contains all information needed to answer that deployments are allowed only on Tuesdays and Thursdays.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Deployments allowed on Tuesdays",
+ "Deployments allowed on Thursdays",
+ "Deployments not allowed on Fridays",
+ "Reference to deployment method (GitHub Actions) and CI pipeline conditions"
+ ],
+ "completeness_duration_ms": 3793.8387393951416,
+ "answer": "You may deploy on Tuesdays and Thursdays (deployments are never permitted on Fridays).",
+ "golden_answer": "You deploy only on Tuesdays and Thursdays.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly states you may deploy on Tuesdays and Thursdays, matching the golden answer. The extra note about deployments not being permitted on Fridays does not omit or contradict the essential information.",
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+ "total_input_tokens": 2229,
+ "total_output_tokens": 383
+ },
+ {
+ "question": "What time is my daily standup?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe standup occurs after Marcus Chen finishes reviewing PRs around 10:30 AM. (Date range: 2024-03-23T15:03:00Z - present)\n\nMarcus Chen usually reviews PRs between 10:00 AM and 10:30 AM. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nMarcus Chen's working hours are from 10am to 6pm in PT. (Date range: 2024-03-20T14:01:00Z - present)\n\nThe standup event occurred before Marcus Chen was free to catch up. (Date range: 2024-03-20T10:30:00Z - 2024-03-23T15:03:00Z)\n\nMarcus Chen performs code reviews first thing in the morning. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: standup\nLabels: Event\nSummary: Marcus Chen reviews PRs between 10:00 AM and his 10:30 AM standup; the original summary stated he missed Wednesday's 10:30 AM standup.\n\nName: code reviews\nLabels: Event\nSummary: Marcus Chen performs code reviews first thing in the morning, typically between 10:00 AM and the 10:30 AM standup.\n\nName: created_at\nLabels: Object\nSummary: The 'created_at' timestamp attribute must always be included in the new shared_tasks database model and must be stored in UTC.\n\nName: personal\nLabels: Topic\nSummary: The topic 'personal' is one of the AI task categories suggested by the GPT-4 API chain orchestrated via LangChain in src/services/ai/task_categorizer.py.\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 10:30am standup because I was debugging. It's Wednesday after",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2855,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 295.2563762664795,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the standup is at 10:30 AM in multiple places: facts note 'The standup occurs after Marcus Chen finishes reviewing PRs around 10:30 AM' and entities/episodes reference a '10:30 AM standup' (including mention of missing the 10:30am standup). These provide the exact time required by the golden answer. No critical information needed to answer the question is missing.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Standup time: 10:30 AM",
+ "Standup occurs after Marcus Chen's PR reviews (~10:30 AM)",
+ "Episode noting a missed 10:30am standup",
+ "Entity summaries referencing a 10:30 AM standup"
+ ],
+ "completeness_duration_ms": 5036.019325256348,
+ "answer": "Your daily standup is at 10:30 AM Pacific Time.",
+ "golden_answer": "Your daily standup is at 10:30am.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes the exact time from the golden answer (10:30 AM) and thus conveys the essential information. It adds a timezone (Pacific Time) but does not omit or alter the required detail.",
+ "response_duration_ms": 5036.020278930664,
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+ "total_input_tokens": 2343,
+ "total_output_tokens": 505
+ },
+ {
+ "question": "What's my company name?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe project 'taskflow-frontend' configuration belongs to Marcus Chen. (Date range: 2025-12-04T02:42:48.31Z - present)\n\nThe type-check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - 2025-12-04T02:42:48.304Z)\n\nMarcus Chen configures 'TF' as the ticket prefix for branch names. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\nName: work\nLabels: Topic\nSummary: The entity 'work' is mentioned as one of the categories used by the AI task categorization feature, which utilizes GPT-4 via LangChain.\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 1",
+ "context_truncated": true,
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+ "context_original_chars": 2885,
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+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes multiple references to 'taskflow' (project names like taskflow-frontend and taskflow-api, the database name taskflow_dev, and mentions of TaskList and TaskFlow-related UI), so it suggests an organization or product named Taskflow. However, the explicit company name 'TaskFlow AI' as given in the golden answer is not present anywhere in the context. Therefore the context contains some relevant clues but is missing the key explicit company name required to fully match the golden answer.",
+ "completeness_missing_elements": [
+ "Explicit company name 'TaskFlow AI'"
+ ],
+ "completeness_present_elements": [
+ "Project name 'taskflow-frontend'",
+ "Project name 'taskflow-api' (mentioned in entity summary)",
+ "Database name 'taskflow_dev'",
+ "References to TaskList / TaskFlow UI",
+ "Use of GPT-4 for AI task categorization",
+ "Marcus Chen as owner of taskflow-frontend"
+ ],
+ "completeness_duration_ms": 7188.446521759033,
+ "answer": "I don't have a company name for you in the provided context.",
+ "golden_answer": "Your company is TaskFlow AI.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response does not provide the company name 'TaskFlow AI' stated in the golden answer. It explicitly abstains ('I don't have a company name...'), omitting the essential information, so it is not semantically equivalent.",
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+ "grading_output_tokens": 129,
+ "total_input_tokens": 2253,
+ "total_output_tokens": 668
+ },
+ {
+ "question": "What's the max line length for my Python code?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nruff enforces the 88 character max line length for Python. (Date range: 2024-03-23T15:01:00Z - present)\n\nThe Black formatter default is the 88 character max line length for Python. (Date range: 2024-03-23T15:01:00Z - present)\n\nThe Assistant added the 88-character line limit to the reference doc. (Date range: 2024-03-23T15:01:30Z - present)\n\nThe Python code style conventions require 4-space indentation. (Date range: 2024-03-23T15:00:00Z - 2025-12-04T02:42:48.308Z)\n\nTyler asked about the Python code style conventions. (Date range: 2024-03-23T15:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: 88 character max line length for Python\nLabels: Topic\nSummary: The 88 character max line length for Python code is the default set by the Black formatter and is enforced by ruff.\n\nName: Black formatter\nLabels: Entity\nSummary: The Black formatter enforces an 88 character max line length for Python code, which is also enforced by ruff.\n\nName: ruff\nLabels: Entity\nSummary: Marcus Chen's taskflow-api project configuration using pyproject.toml sets ruff to use line-length 88 and select/fix E, F, and I codes.\n\nName: pyproject.toml\nLabels: Document\nSummary: The pyproject.toml file configures Marcus Chen's TaskFlow backend project, 'taskflow-api', requiring Python >=3.11. It specifies Ruff settings (line-length 88) and Pytest options, with dependencies including FastAPI and SQLAlchemy.\n\nName: taskflow-api\nLabels: Entity\nSummary: The 'taskflow-api' project configuration for Marcus Chen requires Python >=3.11 and uses FastAPI, SQLAlchemy, Pydantic, and Alembic. Tooling includes Ruff (line-length 88) and pytest (min 7.0, coverage >=80).\n\n\n\n# These are the most relevant",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3657,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 417.05822944641113,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the 88-character maximum for Python in multiple facts and entity summaries: ruff enforces an 88-character max, Black's default is 88, the Assistant added the 88-character limit to the reference doc, and entity descriptions repeat that line-length 88 is configured. These provide all information required to answer the question that the max line length is 88 characters.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "ruff enforces the 88 character max line length for Python",
+ "Black formatter default is the 88 character max line length for Python",
+ "Assistant added the 88-character line limit to the reference doc",
+ "Entity summaries stating 88 character max line length for Python",
+ "pyproject.toml/configuration indicating line-length 88"
+ ],
+ "completeness_duration_ms": 4547.394037246704,
+ "answer": "The max line length is 88 characters.",
+ "golden_answer": "Your max line length for Python is 88 characters.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response states the same essential information \u2014 the maximum line length is 88 characters. Although it omits the word \u201cPython,\u201d the answer directly addresses the question\u2019s context and conveys the same critical detail.",
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+ "grading_output_tokens": 188,
+ "total_input_tokens": 2252,
+ "total_output_tokens": 504
+ },
+ {
+ "question": "What merge strategy do I use?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen configures the merge strategy in .gitconfig to use 'squash'. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen requests that a squash merge should be performed once approval is given and CI passes. (Date range: 2024-03-18T09:18:00Z - present)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nMarcus Chen requests that the branch be deleted after the merge is complete. (Date range: 2024-03-18T09:18:00Z - present)\n\nAssistant will delete the branch feat/TF-247-task-sharing after the merge. (Date range: 2024-03-18T09:18:20Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: squash merge\nLabels: Topic\nSummary: Marcus Chen configured .gitconfig to use 'squash' as the merge strategy for his development process.\n\nName: .gitconfig\nLabels: Document\nSummary: Marcus Chen's .gitconfig sets merge strategy to squash, branch naming convention as '/-' with prefix 'TF', and mandates pre-commit hooks for lint, type-check, and test.\n\nName: merge commits\nLabels: Topic\nSummary: Marcus Chen instructed that the branch should be deleted after merging and requested a squash merge specifically to avoid merge commits.\n\nName: branch feat/TF-247-task-sharing\nLabels: Entity\nSummary: Branch feat/TF-247-task-sharing requires Sarah's approval. Marcus Chen requested a squash merge after CI passes and mandates branch deletion post-merge.\n\nName: approval\nLabels: Entity\nSummary: Marcus Chen will ask Sarah to review the PR for '[TF-247] Add task sharing feature'. The change requires at least one approval and passing CI before a squash merge and branch deletion.\n\n\nMarcus Chen sets the branch naming convention to '/-' in .gitconfig. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen configures 'TF' as the ticket prefix for branch names. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen includes 'docs' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen includes 'chore' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen requested the creation of the task-share-card.tsx file, adhering to the kebab-case naming convention. (Date range: 2024-03-17T14:30:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- with TF prefix, and conventional commit convention. Pre-commit hooks include lint, type-check, and test.\n\nName: feat\nLabels: Topic\nSummary: The branch naming convention for Marcus Chen's development process uses 'feat' as a type prefix, often prepended with 'TF' for tickets. 'feat' is also a listed commit type.\n\nName: TF\nLabels: Topic\nSummary: TF is a ticket prefix used in Marcus Chen's Git branch naming convention, which follows the format /TF-.\n\nName: docs\nLabels: Topic\nSummary: The entity 'docs' is listed as a valid branch naming type ('/-') and commit type in Marcus Chen's .gitconfig for the TF project.\n\nName: chore\nLabels: Topic\nSummary: The term 'chore' is defined as a commit and branch naming convention type for Marcus Chen's development process, according to .gitconfig.\n\n\n\n# Th",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3392,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 587.2740745544434,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the branch naming convention '/-' and that 'TF' is configured as the ticket prefix. It even references example types (feat, docs, chore) and that .gitconfig enforces this format. These elements fully match the golden answer (including the TF prefix and format), so the context contains all needed information.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "branch naming format '/-'",
+ "TF ticket prefix for branch names",
+ "example branch types such as 'feat', 'docs', 'chore'",
+ ".gitconfig specifying the convention"
+ ],
+ "completeness_duration_ms": 5862.368822097778,
+ "answer": "Your branch naming convention is \"/-\" (ticket prefix \"TF\"), e.g. feat/TF-123-add-login; valid types include feat, docs, and chore.",
+ "golden_answer": "Your branch naming convention is /-, using the TF prefix (e.g., feat/TF-123-add-feature).",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes the required pattern /-, specifies the TF ticket prefix, and provides an example (feat/TF-123-add-login). It therefore contains all essential information from the golden answer (and even adds valid types), so it is semantically equivalent.",
+ "response_duration_ms": 5862.369060516357,
+ "grading_duration_ms": 5372.167348861694,
+ "total_duration_ms": 11821.812152862549,
+ "response_input_tokens": 596,
+ "response_output_tokens": 238,
+ "completeness_input_tokens": 1141,
+ "completeness_output_tokens": 209,
+ "grading_input_tokens": 547,
+ "grading_output_tokens": 140,
+ "total_input_tokens": 2284,
+ "total_output_tokens": 587
+ },
+ {
+ "question": "What are the required sections in my PR descriptions?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nAssistant included the 'Screenshots' section in the PR description. (Date range: 2024-03-18T09:16:30Z - present)\n\nThe PR title must follow a specific format that includes the ticket number. (Date range: 2024-03-18T09:15:00Z - present)\n\nThe PR (entity implicitly related to task sharing feature) should be created with the title [TF-247] Add task sharing feature. (Date range: 2024-03-18T09:16:00Z - present)\n\nPriya was tagged on the deployment PR for visibility regarding the current change. (Date range: 2024-03-19T14:02:30Z - present)\n\nMarcus Chen asked for a review of the frontend PR. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:03:00Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Testing\nLabels: Topic\nSummary: The PR for feature [TF-247] includes a required 'Testing' section in its description. CI is currently running tests for this PR.\n\nName: Screenshots\nLabels: Entity\nSummary: Screenshots were included in the description of the PR titled \"[TF-247] Add task sharing feature\", along with Changes and Testing sections.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: PRs\nLabels: Entity\nSummary: Marcus Chen committed a fix using the 'fix:' prefix: \"fix: resolve priority update validation error in task service\". PR [TF-247] for feature branch feat/TF-247-task-sharing is pending assistant rebase on main before Sarah Kim reviews.\n\nName: Priya\nLabels: Entity\nSummary: Priya Patel reviews all infrastructure and DevOps changes for Marcus Chen and was tagged on the ECS deployment PR for visibility.\n\n\n\n# These are the most relevant epis",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2919,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 458.6522579193115,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The CONTEXT explicitly references all three required PR description sections from the golden answer: 'Testing' is listed as a required section in the Entities, 'Screenshots' is mentioned as included in the PR description (and the Assistant included the 'Screenshots' section per Facts), and 'Changes' is explicitly noted as being present alongside Testing and Screenshots in the Entities summary. Therefore the context contains all information needed to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Changes",
+ "Testing",
+ "Screenshots"
+ ],
+ "completeness_duration_ms": 5003.600835800171,
+ "answer": "The PR description must include a Testing section \u2014 Changes and Screenshots are commonly included (as in [TF-247]) but only Testing is explicitly required.",
+ "golden_answer": "Your PR descriptions require three sections: Changes, Testing, and Screenshots.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response contradicts the golden answer: the golden answer states there are three required sections \u2014 Changes, Testing, and Screenshots \u2014 but the response claims only Testing is explicitly required and treats Changes and Screenshots as optional. It omits the requirement that Changes and Screenshots are required, so it does not contain all essential information.",
+ "response_duration_ms": 5003.60107421875,
+ "grading_duration_ms": 3681.3230514526367,
+ "total_duration_ms": 9143.578052520752,
+ "response_input_tokens": 583,
+ "response_output_tokens": 229,
+ "completeness_input_tokens": 1114,
+ "completeness_output_tokens": 188,
+ "grading_input_tokens": 527,
+ "grading_output_tokens": 149,
+ "total_input_tokens": 2224,
+ "total_output_tokens": 566
+ },
+ {
+ "question": "What CI checks must pass before I can merge?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe CI pipeline requires that the lint check passes. (Date range: 2024-03-19T14:00:00Z - present)\n\nThe CI pipeline requires that the tests pass. (Date range: 2024-03-19T14:00:00Z - 2024-03-19T14:00:30Z)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe type-check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - 2025-12-04T02:42:48.304Z)\n\nMarcus Chen requests that a squash merge should be performed once approval is given and CI passes. (Date range: 2024-03-18T09:18:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: CI\nLabels: Topic\nSummary: CI is running lint, type-check, and tests for PR [TF-247]. Marcus Chen requires CI passing and one approval before the PR can be squash merged and the branch deleted.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\nName: approval\nLabels: Entity\nSummary: Marcus Chen will ask Sarah to review the PR for '[TF-247] Add task sharing feature'. The change requires at least one approval and passing CI before a squash merge and branch deletion.\n\nName: type-check\nLabels: Topic\nSummary: Marcus Chen configured Git hooks in .gitconfig to run 'type-check' before committing. Existing summary notes type-check passed CI deployment check on Tuesday with 92% coverage.\n\nName: branch feat/TF-247-task-sharing\nLabels: Entity\nSummary: Branch feat/TF-247-task-sharing requires Sarah's approval. Marcus Chen requested a squash merge after CI passes and mandates branch deletion post-m",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2837,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 466.6626453399658,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly mentions all three CI checks from the golden answer: lint is required (fact), type-check is mentioned and noted as passed, and tests are referenced both in facts and entity summaries. Therefore the context contains all information needed to state that lint, type-check, and tests must pass before merging.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "lint",
+ "type-check",
+ "tests"
+ ],
+ "completeness_duration_ms": 10617.750406265259,
+ "answer": "The lint check must pass \u2014 the PR can only be merged once the CI pipeline is passing (CI green).",
+ "golden_answer": "Your CI checks that must pass are: lint, type-check, and tests.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response only mentions the lint check and that the CI pipeline must be green. It omits the required type-check and tests checks named in the golden answer, so it does not contain all essential information.",
+ "response_duration_ms": 10617.750644683838,
+ "grading_duration_ms": 2260.0131034851074,
+ "total_duration_ms": 13344.427824020386,
+ "response_input_tokens": 596,
+ "response_output_tokens": 668,
+ "completeness_input_tokens": 1128,
+ "completeness_output_tokens": 162,
+ "grading_input_tokens": 519,
+ "grading_output_tokens": 124,
+ "total_input_tokens": 2243,
+ "total_output_tokens": 954
+ },
+ {
+ "question": "What fields are in my API error response format?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen requested that error responses use the standard format which includes error_code, message, and details fields. (Date range: 2024-03-15T10:49:00Z - present)\n\nThe share endpoint includes the standard response wrapper format with data and meta fields. (Date range: 2024-03-15T10:48:30Z - present)\n\nThe response wrapper format includes the meta object. (Date range: 2024-03-22T10:02:00Z - present)\n\nThe task list endpoint response includes pagination info and other metadata within the \"meta\" field. (Date range: 2024-03-22T10:02:30Z - present)\n\nThe meta object within the response wrapper contains other metadata. (Date range: 2024-03-22T10:02:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: standard format (error responses)\nLabels: Entity\nSummary: Marcus Chen specified that error responses should use the standard format with error_code, message, and details fields, utilizing the custom TaskFlowError exception class for domain errors.\n\nName: items\nLabels: Entity\nSummary: The response wrapper for the API should use the standard format: {\"data\": ..., \"meta\": {...}}, where data contains the items and meta contains pagination info.\n\nName: response wrapper format\nLabels: Entity\nSummary: The standard response wrapper format, {\"data\": ..., \"meta\": {...}}, with pagination info in meta, was confirmed for the API endpoint, matching all other endpoints.\n\nName: Sentry error tracking\nLabels: Topic\nSummary: Marcus Chen requested Sentry error tracking for the task sharing endpoint, structured JSON logging with correlation IDs, and defining log levels (full stack trace at ERROR, summary at WARNING).\n\nName: response\nLabels: Entity\nSummary: The task list API response uses c",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3318,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 427.9191493988037,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states (in Facts and Entities) that Marcus Chen requested error responses use the standard format which includes error_code, message, and details fields. All three fields named in the golden answer are present in the provided context, so no additional information is required to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "error_code",
+ "message",
+ "details"
+ ],
+ "completeness_duration_ms": 3106.9014072418213,
+ "answer": "Your API error responses include the fields: error_code, message, and details.",
+ "golden_answer": "Your API error responses include error_code, message, and details fields.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response lists the same three fields\u2014error_code, message, and details\u2014as the golden answer, without omitting or altering any essential information.",
+ "response_duration_ms": 3106.9018840789795,
+ "grading_duration_ms": 2068.5386657714844,
+ "total_duration_ms": 5603.360891342163,
+ "response_input_tokens": 541,
+ "response_output_tokens": 86,
+ "completeness_input_tokens": 1071,
+ "completeness_output_tokens": 158,
+ "grading_input_tokens": 511,
+ "grading_output_tokens": 53,
+ "total_input_tokens": 2123,
+ "total_output_tokens": 297
+ },
+ {
+ "question": "What's my testing setup for the frontend?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nVitest is the testing framework used by the Assistant for frontend unit tests. (Date range: 2024-03-17T14:34:00Z - present)\n\nMarcus Chen specified that Vitest should be used for writing the frontend unit tests. (Date range: 2024-03-17T14:34:00Z - present)\n\n'taskflow-frontend' has a 'test' script. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n'taskflow-frontend' has an 'test:e2e' script. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n'taskflow-frontend' has vitest as a dev dependency, version ^0.32.0. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Vitest\nLabels: Entity\nSummary: Marcus Chen's TaskFlow frontend project uses Vitest (^0.32.0) for testing, configured via package.json. Marcus previously requested Vitest tests for a share data feature.\n\nName: test:e2e\nLabels: Entity\nSummary: The script \"test:e2e\" for Marcus Chen's \"taskflow-frontend\" package executes \"playwright test\" using pnpm@8.6.0.\n\nName: taskflow-frontend\nLabels: Entity\nSummary: Marcus Chen's 'taskflow-frontend' uses pnpm@8.6.0, React, Zustand, and Zod. Scripts include dev (vite), build, test (vitest), and lint (eslint). Dev dependencies include Vitest and Playwright.\n\nName: test\nLabels: Entity\nSummary: Marcus Chen's Git configuration includes squash merging and a branch convention using prefixes like TF for tickets. His package.json for taskflow-frontend specifies 'vitest' for 'test' scripts and '@playwright/test' as a devDependency.\n\nName: frontend PR\nLabels: Topic\nSummary: Marcus Chen requested Jake Morrison to review the frontend PR, which previously had console.log statements and 'any' types removed, and a hardcoded API key fixed.\n\n\n\n# Th",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3800,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 554.9068450927734,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context clearly states that Vitest is used for frontend unit tests and that Playwright is used for E2E tests (test:e2e runs 'playwright test', and Playwright is listed as a devDependency). However, there is no information about the test file naming convention (e.g., files named .test.tsx). Because the naming pattern required by the golden answer is absent, the context is incomplete.",
+ "completeness_missing_elements": [
+ "Test file naming convention (e.g., .test.tsx)"
+ ],
+ "completeness_present_elements": [
+ "Vitest is used for frontend unit tests",
+ "Vitest listed as a devDependency (^0.32.0)",
+ "'test' script uses vitest",
+ "Playwright is used for E2E tests (test:e2e runs 'playwright test')",
+ "Playwright listed as a devDependency"
+ ],
+ "completeness_duration_ms": 5636.193513870239,
+ "answer": "Your frontend uses Vitest (^0.32.0) for unit tests (package.json \"test\" script) and Playwright for e2e tests (package.json \"test:e2e\" runs \"playwright test\" via pnpm@8.6.0), with both as devDependencies.",
+ "golden_answer": "Your frontend testing uses Vitest for unit tests, Playwright for E2E tests, and files are named .test.tsx.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response correctly identifies Vitest for unit tests and Playwright for e2e tests, but it omits the file naming convention (.test.tsx) from the golden answer. Because that essential detail is missing, the response is not semantically equivalent.",
+ "response_duration_ms": 5636.1939907073975,
+ "grading_duration_ms": 3081.285238265991,
+ "total_duration_ms": 9272.387504577637,
+ "response_input_tokens": 624,
+ "response_output_tokens": 196,
+ "completeness_input_tokens": 1169,
+ "completeness_output_tokens": 282,
+ "grading_input_tokens": 570,
+ "grading_output_tokens": 136,
+ "total_input_tokens": 2363,
+ "total_output_tokens": 614
+ },
+ {
+ "question": "What's my testing setup for the backend?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\nThe CI pipeline requires that the tests pass. (Date range: 2024-03-19T14:00:00Z - 2024-03-19T14:00:30Z)\n\nThe task sharing feature involves backend code. (Date range: 2024-03-18T09:15:00Z - present)\n\nThe docker-compose.yml configuration is for Marcus Chen's local development database setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: TaskFlow backend\nLabels: Topic\nSummary: The TaskFlow backend project configuration, sourced from pyproject.toml, specifies Python >=3.11, uses Ruff (line-length 88), pytest (cov-fail-under=80), and dependencies like fastapi, sqlalchemy, pydantic, and alembic.\n\nName: unit test\nLabels: Event\nSummary: Marcus Chen requested an integration test for an API endpoint instead of a unit test when addressing a bug related to task priority updates (TF-251).\n\nName: Testing\nLabels: Topic\nSummary: The PR for feature [TF-247] includes a required 'Testing' section in its description. CI is currently running tests for this PR.\n\nName: tests\nLabels: Topic\nSummary: Marcus Chen confirmed deployment today after CI pipeline passed, showing tests achieved 92% coverage.\n\nName: SQLAlchemy 2.0 async setup\nLabels: Topic\nSummary: The SQLAlchemy 2.0 async setup requires using httpx instead of requests for HTTP calls to external services to maintain async compatibility.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"des",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3555,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 491.2848472595215,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes that the TaskFlow backend uses pytest (pyproject.toml summary and testing-related entities), so part of the golden answer is present. However, there is no mention of factory_boy or of the test file naming convention (test_.py). Those key elements are missing, so the context is insufficient to fully reproduce the golden answer.",
+ "completeness_missing_elements": [
+ "factory_boy (test data library)",
+ "test file naming convention (test_.py)"
+ ],
+ "completeness_present_elements": [
+ "pytest as the test framework",
+ "general testing/CI information (tests, coverage)"
+ ],
+ "completeness_duration_ms": 6165.048837661743,
+ "answer": "Your backend testing uses pytest (cov-fail-under=80%) run in CI (must pass), includes integration tests that hit the actual API endpoint, uses httpx for SQLAlchemy 2.0 async compatibility, targets Python \u22653.11, and currently shows ~92% coverage.",
+ "golden_answer": "Your backend testing uses Pytest, factory_boy for test data, and files are named test_.py.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions pytest but omits two essential details from the golden answer: use of factory_boy for test data and the file naming convention test_.py. Therefore it is not semantically equivalent.",
+ "response_duration_ms": 6165.049076080322,
+ "grading_duration_ms": 2402.329206466675,
+ "total_duration_ms": 9058.664798736572,
+ "response_input_tokens": 603,
+ "response_output_tokens": 320,
+ "completeness_input_tokens": 1143,
+ "completeness_output_tokens": 204,
+ "grading_input_tokens": 561,
+ "grading_output_tokens": 61,
+ "total_input_tokens": 2307,
+ "total_output_tokens": 585
+ },
+ {
+ "question": "What are my database timestamp conventions?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe database model for shared_tasks must include an updated_at timestamp. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe created_at timestamp must be in UTC, as specified by Marcus Chen. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe updated_at timestamp must be in UTC, as specified by Marcus Chen. (Date range: 2024-03-15T10:46:00Z - present)\n\nGit configuration conventions are specified in the .gitconfig file. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen is initiating the creation of a new database model. (Date range: 2024-03-15T10:46:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: database model\nLabels: Entity\nSummary: Marcus Chen requested creation of a new database model named 'shared_tasks', specifying plural snake_case table name, UUID v4 id, and UTC timestamps (created_at, updated_at).\n\nName: created_at\nLabels: Object\nSummary: The 'created_at' timestamp attribute must always be included in the new shared_tasks database model and must be stored in UTC.\n\nName: updated_at\nLabels: Object\nSummary: The attribute 'updated_at' is required for the new 'shared_tasks' database model, and it must store timestamps in UTC.\n\nName: conventional commits style\nLabels: Topic\nSummary: Marcus Chen instructed that a commit following the conventional commits style should use the 'fix:' prefix because it resolves a bug in task_service.py.\n\nName: oh-my-zsh\nLabels: Entity\nSummary: Marcus Chen uses oh-my-zsh with iTerm2 and zsh, confirming his shell config should be set up during his new MacBook development environment configuration.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configur",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3440,
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+ "context_construction_duration_ms": 562.1685981750488,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that the new database model (shared_tasks) must include created_at and updated_at timestamps and that both timestamps must be stored in UTC. The entities summary also describes UTC timestamps (created_at, updated_at) as part of the database model conventions. These elements fully cover the golden answer that database tables include created_at and updated_at stored in UTC.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "created_at timestamp is required",
+ "updated_at timestamp is required",
+ "created_at must be stored in UTC",
+ "updated_at must be stored in UTC",
+ "UTC timestamps are part of the database model conventions (shared_tasks)"
+ ],
+ "completeness_duration_ms": 7821.384429931641,
+ "answer": "Your DB timestamps must include created_at and updated_at on the shared_tasks model, and both must be stored in UTC.",
+ "golden_answer": "Your database tables always include created_at and updated_at timestamps, stored in UTC.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response restricts the requirement to the shared_tasks model only, whereas the golden answer states that database tables always include created_at and updated_at (i.e., all tables). While both mention created_at and updated_at and UTC, the AI omits the essential detail that this applies to all database tables, so it is not equivalent.",
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+ "grading_output_tokens": 150,
+ "total_input_tokens": 2208,
+ "total_output_tokens": 773
+ },
+ {
+ "question": "How do I handle primary keys in the database?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe database model for shared_tasks must include an id column using UUID v4. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe indexes added in the migration relate to the foreign keys (Date range: 2024-03-15T10:47:30Z - present)\n\nThe shared_with_user_id foreign key has an index added to it in the migration (Date range: 2024-03-15T10:47:30Z - present)\n\nAlembic migrations were run to set up the schema for PostgreSQL (Date range: 2024-03-20T09:02:30Z - present)\n\nMarcus Chen is initiating the creation of a new database model. (Date range: 2024-03-15T10:46:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: foreign keys\nLabels: Topic\nSummary: Foreign keys were added to the SharedTask model. The Alembic migration included indexes on foreign keys: task_id, shared_by_user_id, and shared_with_user_id.\n\nName: database model\nLabels: Entity\nSummary: Marcus Chen requested creation of a new database model named 'shared_tasks', specifying plural snake_case table name, UUID v4 id, and UTC timestamps (created_at, updated_at).\n\nName: SELECT *\nLabels: Topic\nSummary: Marcus Chen wants the 'SELECT *' query in task_repository.py fixed by specifying exact columns and adding a user_id index because it slows down task lists over 1000 tasks before the demo day.\n\nName: users tables\nLabels: Entity\nSummary: The 'users tables' was mentioned in relation to creating the SharedTask model; it will have a foreign key relationship with the new shared_tasks table.\n\nName: query in task_repository.py\nLabels: Entity\nSummary: Marcus Chen identified the slow query in task_repository.py as using SELECT * and lacking an index on user_id, affecting users with over 1000 tasks.\n\n\n\n# These are t",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3233,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 523.3275890350342,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the shared_tasks model must include an id column using UUID v4 and references a UUID v4 id in the database model entity. It also documents that indexes were added in the migration on foreign keys (task_id, shared_by_user_id, shared_with_user_id). Thus all key elements from the golden answer (UUID v4 primary keys, column named 'id', and indexes on foreign keys) are present.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Use UUID v4 for primary keys (id column)",
+ "Column named 'id' (id column using UUID v4)",
+ "Indexes added on foreign keys (task_id, shared_by_user_id, shared_with_user_id)"
+ ],
+ "completeness_duration_ms": 5887.246608734131,
+ "answer": "Use a UUID v4 primary key \u2014 include an id column of type UUID (v4) as the table\u2019s primary key (e.g., for the shared_tasks model).",
+ "golden_answer": "You use UUID v4 for primary keys, the column is named 'id', and you always add indexes on foreign keys.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions using a UUID v4 primary key and the column named 'id', but it omits the instruction to always add indexes on foreign keys. Therefore it does not include all essential information from the golden answer.",
+ "response_duration_ms": 5887.24684715271,
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+ "completeness_output_tokens": 290,
+ "grading_input_tokens": 541,
+ "grading_output_tokens": 127,
+ "total_input_tokens": 2230,
+ "total_output_tokens": 586
+ },
+ {
+ "question": "How do I organize imports in Python?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nImports should be organized with stdlib imports first. (Date range: 2024-03-17T14:32:00Z - present)\n\nLocal imports, relevant to files like src/components/task-share-card.tsx, should follow third-party imports, separated by a blank line. (Date range: 2024-03-17T14:32:00Z - 2024-03-17T14:32:30Z)\n\nThe Assistant reorganized the imports. (Date range: 2024-03-17T14:32:30Z - present)\n\nBlank lines were added between groups of imports, specifically separating local imports using @/components. (Date range: 2024-03-17T14:32:30Z - present)\n\nAfter stdlib imports, third-party imports like React should follow. (Date range: 2024-03-17T14:32:00Z - 2024-03-17T14:32:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: imports\nLabels: Topic\nSummary: Marcus Chen requested imports use the @ alias for absolute imports from src, organized by stdlib, third-party (React), and local imports separated by blank lines. The assistant updated imports accordingly.\n\nName: @components\nLabels: Topic\nSummary: Local imports should use the @ alias for absolute imports from src, specifically organized under the @/components path.\n\nName: Python package management\nLabels: Topic\nSummary: Marcus Chen needs to set up uv for Python package management as the team recently switched from using pip.\n\nName: ruff\nLabels: Entity\nSummary: Marcus Chen's taskflow-api project configuration using pyproject.toml sets ruff to use line-length 88 and select/fix E, F, and I codes.\n\nName: Python code\nLabels: Topic\nSummary: Python code in src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization and breakdown. Type hints are now required in all Python code.\n\n\n\n# These are the most relevant episode",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3657,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 470.733642578125,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states all key elements from the golden answer: stdlib imports come first, third-party imports follow (example: React), and local imports come last. It also mentions blank lines separating groups (specifically between local imports and others). These statements provide all information needed to reproduce the ordering and grouping described in the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Standard library imports first",
+ "Third-party imports (e.g., React) after stdlib",
+ "Local imports after third-party imports",
+ "Blank lines separating import groups"
+ ],
+ "completeness_duration_ms": 4865.030765533447,
+ "answer": "Place standard-library imports first, then third-party imports (e.g., React), then a blank line followed by local imports using the @ alias (e.g., @/components).",
+ "golden_answer": "You organize imports in order: standard library first, then third-party packages, then local imports, with blank lines between groups.",
+ "answer_grade": true,
+ "answer_reasoning": "The response states standard-library imports first, then third-party imports, then local imports with a blank line separating groups. It therefore includes all essential ordering and the blank-line separation specified in the golden answer.",
+ "response_duration_ms": 4865.031003952026,
+ "grading_duration_ms": 3670.2396869659424,
+ "total_duration_ms": 9006.00552558899,
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+ "completeness_output_tokens": 256,
+ "grading_input_tokens": 540,
+ "grading_output_tokens": 186,
+ "total_input_tokens": 2247,
+ "total_output_tokens": 676
+ },
+ {
+ "question": "What's my local database development setup?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe docker-compose.yml configuration is for Marcus Chen's local development database setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n.env.local stores all our local dev config. (Date range: 2024-03-20T09:03:00Z - present)\n\nPostgreSQL runs on the local database. (Date range: 2024-03-20T09:02:00Z - 2024-03-20T09:02:30Z)\n\nThe postgres:15 image is configured within the docker-compose.yml file for local development setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n.env.local contains all the local development environment variables. (Date range: 2024-03-20T09:03:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local database\nLabels: Location\nSummary: The local database setup requires PostgreSQL running in Docker Compose on port 5433 to avoid conflicts with local installations.\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: postgres:15\nLabels: Object\nSummary: The 'postgres:15' Docker image is used by Marcus Chen for the local development database setup of his taskflow-api project, configured via docker-compose.yml.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\nName: Node.js\nLabels: Topic\nSummary: pnpm, the Node.js package manager, was installed for Marcus Chen's development setup via curl.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3258,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 509.6151828765869,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that the local development database uses PostgreSQL (postgres:15) configured in docker-compose.yml and that the service exposes port 5433 (port mapping 5433:5432). These elements fully cover the golden answer that the user\u2019s local DB is PostgreSQL running in Docker Compose on port 5433.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "PostgreSQL is used (postgres:15)",
+ "Database is configured via docker-compose.yml (Docker Compose)",
+ "Port mapping exposes port 5433 (5433:5432)"
+ ],
+ "completeness_duration_ms": 5453.887701034546,
+ "answer": "Your local dev DB runs PostgreSQL 15 in docker-compose (v3.8) using the postgres:15 image, exposing host port 5433\u2192container 5432 and creating database \"taskflow_dev\" for user \"taskflow\", with local config stored in the gitignored .env.local.",
+ "golden_answer": "You use PostgreSQL running in Docker Compose on port 5433.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly states PostgreSQL (version 15) running in docker-compose and that host port 5433 is exposed, which preserves all essential information from the golden answer (PostgreSQL in Docker Compose on port 5433). Additional details do not conflict with the golden answer.",
+ "response_duration_ms": 5453.888177871704,
+ "grading_duration_ms": 4215.603828430176,
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+ "completeness_output_tokens": 263,
+ "grading_input_tokens": 554,
+ "grading_output_tokens": 140,
+ "total_input_tokens": 2272,
+ "total_output_tokens": 663
+ },
+ {
+ "question": "What are my basic Python code style rules?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe Python code style conventions specify using snake_case for Python file names and function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Python code style conventions require 4-space indentation. (Date range: 2024-03-23T15:00:00Z - 2025-12-04T02:42:48.308Z)\n\nTyler asked about the Python code style conventions. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Python code style conventions mandate the use of snake_case for function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Assistant created a quick reference guide for Tyler regarding Python code style conventions. (Date range: 2024-03-23T15:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: function names\nLabels: Topic\nSummary: Python code style conventions dictate using snake_case for function names, 4-space indentation, and double quotes for strings.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\nName: 88 character max line length for Python\nLabels: Topic\nSummary: The 88 character max line length for Python code is the default set by the Black formatter and is enforced by ruff.\n\nName: Python\nLabels: Topic\nSummary: Marcus Chen's VS Code settings enable Vim mode, format on save, and use Ruff for Python formatting/linting. Python indentation is set to 4 spaces in settings.json.\n\n\n\n# T",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3435,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 428.76434326171875,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly includes all three elements from the golden answer: 4-space indentation is stated in the facts and entities, double quotes for strings are mentioned in an entity summary, and the 88-character max line length is present as an entity. Therefore the context contains all information needed to answer the question according to the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "4-space indentation",
+ "double quotes for strings",
+ "88-character max line length"
+ ],
+ "completeness_duration_ms": 12466.434001922607,
+ "answer": "Use snake_case for Python file names and function names.",
+ "golden_answer": "Your Python code style uses 4-space indentation, double quotes, and 88-character max line length.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response does not include any of the essential style rules from the golden answer (4-space indentation, double quotes, 88-character max line length). Instead it gives a different rule (snake_case), so it fails to contain the required information.",
+ "response_duration_ms": 12466.434478759766,
+ "grading_duration_ms": 3299.128532409668,
+ "total_duration_ms": 16194.328784942627,
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+ "grading_output_tokens": 132,
+ "total_input_tokens": 2181,
+ "total_output_tokens": 1092
+ },
+ {
+ "question": "What are my TypeScript code style rules?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\ncamelCase for function names is required in TypeScript. (Date range: 2024-03-17T14:31:00Z - present)\n\nThe style rules prohibit using 'any' types in TypeScript. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\nThe style rules prohibit leaving console.log statements in the code. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\nThe typescript configuration section exists in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nMarcus Chen wants to ensure there are no violations of the style rules. (Date range: 2024-03-18T15:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: style rules\nLabels: Topic\nSummary: Style rules review requested for a frontend PR involving Tyler, Marcus Chen's mentee. Rules include no console.log statements and no 'any' types in TypeScript.\n\nName: TypeScript\nLabels: Topic\nSummary: Marcus Chen configured TypeScript settings in VS Code to use 2 space tab size and the Prettier extension for default formatting.\n\nName: esbenp.prettier-vscode\nLabels: Entity\nSummary: The entity 'esbenp.prettier-vscode' is set as the default formatter for TypeScript files in Marcus Chen's VS Code settings (.vscode/settings.json).\n\nName: single quotes in TypeScript\nLabels: Preference\nSummary: Marcus Chen requested single quotes for TypeScript files and camelCase for function names like handleAcceptShare, which the assistant implemented.\n\nName: task-list.tsx\nLabels: Entity\nSummary: File 'task-list.tsx' was reviewed by an assistant who found 2 'console.log' statements that violate style rules and must be fixed before merging.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"desc",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3279,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 293.4896945953369,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states all three style rules from the golden answer: VS Code TypeScript settings use 2-space tab size, Marcus requested single quotes for TypeScript files, and camelCase for function names is required (both in facts and entities). Therefore the context contains all information needed to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "2-space indentation/tab size for TypeScript",
+ "single quotes for TypeScript files",
+ "camelCase required for function names"
+ ],
+ "completeness_duration_ms": 9630.87797164917,
+ "answer": "Use camelCase for function names, single quotes in TypeScript, 2-space tabs with Prettier (esbenp.prettier-vscode) as the default formatter, and avoid console.log statements and using 'any' types (fix any violations before merging).",
+ "golden_answer": "Your TypeScript code style uses 2-space indentation, single quotes, and camelCase for functions.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential items from the golden answer: 2-space indentation (stated as \"2-space tabs\"), single quotes, and camelCase for function names. Extra rules in the response do not omit any required details.",
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+ "grading_output_tokens": 130,
+ "total_input_tokens": 2312,
+ "total_output_tokens": 944
+ },
+ {
+ "question": "What are my React component conventions?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nReact imports are grouped at the top. (Date range: 2024-03-17T14:32:30Z - present)\n\nReact Query imports are grouped at the top. (Date range: 2024-03-17T14:32:30Z - present)\n\nThe component is functional using hooks. (Date range: 2024-03-17T14:31:30Z - present)\n\nThe imports now include React. (Date range: 2024-03-17T14:32:30Z - present)\n\nThe Assistant implemented the component using hooks instead of class components. (Date range: 2024-03-17T14:31:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: components folder\nLabels: Location\nSummary: Marcus Chen requested creation of a new React component, TaskShareCard.tsx, to be placed in the components folder, using kebab-case naming: task-share-card.tsx.\n\nName: class components\nLabels: Topic\nSummary: Marcus Chen prefers functional components with hooks over class components when developing React.\n\nName: @components\nLabels: Topic\nSummary: Local imports should use the @ alias for absolute imports from src, specifically organized under the @/components path.\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\nName: refactor\nLabels: Topic\nSummary: The term 'refactor' is listed as a valid type for Git branch naming conventions (/- using prefix 'TF') and commit conventions for Marcus Chen's project.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:47.807067Z) Updated the file with 2-space indentation and single quotes. Added handleAcceptShare and handleDeclineShare f",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2921,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 306.060791015625,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context clearly states that components are functional and use hooks (multiple facts and entity summaries confirm this). However, there is no statement that React component names use PascalCase; in fact the entities show a file naming example using kebab-case (task-share-card.tsx), which does not indicate PascalCase component naming. Therefore the context is missing explicit information that components are named with PascalCase.",
+ "completeness_missing_elements": [
+ "PascalCase naming for React components (explicit)"
+ ],
+ "completeness_present_elements": [
+ "Preference for functional components",
+ "Use of hooks in components",
+ "Component implemented using hooks (Assistant)",
+ "React imports grouped at the top"
+ ],
+ "completeness_duration_ms": 7670.223951339722,
+ "answer": "Your React component conventions: use functional components with hooks (no class components); group React and React Query imports at the top and include the React import; use the @ alias for absolute imports (e.g., @/components) and kebab-case filenames in the components folder (e.g., task-share-card.tsx); target React ^18.2.0 with Zod/Zustand/React Query; use route-level error boundaries; and format with 2-space indentation and single quotes.",
+ "golden_answer": "You use PascalCase naming for React components, prefer functional components, and use hooks.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes that functional components and hooks should be used, but it does not state the PascalCase naming convention for React components from the golden answer. Instead it specifies kebab-case filenames \u2014 so a key requirement (PascalCase component names) is missing.",
+ "response_duration_ms": 7670.224189758301,
+ "grading_duration_ms": 2864.3951416015625,
+ "total_duration_ms": 10840.681552886963,
+ "response_input_tokens": 577,
+ "response_output_tokens": 489,
+ "completeness_input_tokens": 1110,
+ "completeness_output_tokens": 209,
+ "grading_input_tokens": 594,
+ "grading_output_tokens": 135,
+ "total_input_tokens": 2281,
+ "total_output_tokens": 833
+ },
+ {
+ "question": "How do I implement soft deletes?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nSoft deletes should be implemented using the deleted_at field. (Date range: 2024-03-15T10:47:00Z - present)\n\nThe Alembic migration included adding the deleted_at column to support soft deletes (Date range: 2024-03-15T10:47:30Z - present)\n\nThe Alembic migration should utilize soft deletes. (Date range: 2024-03-15T10:47:00Z - present)\n\nMarcus Chen wants the branch to be deleted after the operation. (Date range: 2024-03-18T09:18:00Z - present)\n\nMarcus Chen requests that the branch be deleted after the merge is complete. (Date range: 2024-03-18T09:18:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: soft deletes\nLabels: Topic\nSummary: Marcus Chen requested soft deletes using a 'deleted_at' column instead of hard deletes for the SharedTask Alembic migration.\n\nName: alembic/versions/20240315_add_shared_tasks.py\nLabels: Document\nSummary: Alembic migration file 'alembic/versions/20240315_add_shared_tasks.py' was generated. It adds a 'deleted_at' column for soft deletes and indexes foreign keys for the 'shared_tasks' table.\n\nName: task_id\nLabels: Entity\nSummary: The 'task_id' attribute was added to SharedTask model as a foreign key, indexed with soft deletes. It is referenced in the POST /api/v1/tasks/{task_id}/shares endpoint, which now raises TaskFlowError for invalid IDs.\n\nName: shared_by_user_id\nLabels: Entity\nSummary: The attribute 'shared_by_user_id' was added as a foreign key in the 'shared_tasks' table, included in the Alembic migration for soft deletes.\n\nName: CRUD operations\nLabels: Topic\nSummary: REST endpoints are used for CRUD operations, while GraphQL subscriptions handle task sharing notifications.\n\n\n\n# These are the most relevant episodes\n<",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2887,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 329.49066162109375,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that soft deletes should be implemented using the deleted_at field and notes the Alembic migration added a deleted_at column to support soft deletes. These statements directly match the golden answer's requirement to use a deleted_at timestamp column instead of hard deletes. No additional information is required to satisfy the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Use deleted_at field for soft deletes",
+ "Alembic migration added deleted_at column to support soft deletes",
+ "Alembic migration should utilize soft deletes"
+ ],
+ "completeness_duration_ms": 4890.057802200317,
+ "answer": "Add a deleted_at timestamp column (as in alembic/versions/20240315_add_shared_tasks.py) and, instead of hard-deleting rows, set deleted_at to the current timestamp and have queries ignore rows where deleted_at is not null.",
+ "golden_answer": "You implement soft deletes using a deleted_at timestamp column instead of hard deletes.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes the essential information from the golden answer: it specifies using a deleted_at timestamp column instead of hard deletes. It also adds implementation details (setting the timestamp on delete and filtering queries), which do not omit or contradict the golden answer.",
+ "response_duration_ms": 4890.0580406188965,
+ "grading_duration_ms": 2938.9188289642334,
+ "total_duration_ms": 8158.468961715698,
+ "response_input_tokens": 578,
+ "response_output_tokens": 313,
+ "completeness_input_tokens": 1109,
+ "completeness_output_tokens": 188,
+ "grading_input_tokens": 544,
+ "grading_output_tokens": 132,
+ "total_input_tokens": 2231,
+ "total_output_tokens": 633
+ },
+ {
+ "question": "What's my JWT authentication setup?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nJWT tokens are configured to be present in the Authorization header. (Date range: 2024-03-20T14:03:30Z - present)\n\nJWT tokens have a 15-minute expiry time, as configured by the Assistant. (Date range: 2024-03-20T14:03:30Z - present)\n\nTaskFlow AI's auth system is using a legacy JWT library. (Date range: 2024-03-20T14:03:00Z - present)\n\nAssistant added the refactoring of the JWT library to the tech debt backlog. (Date range: 2024-03-20T14:03:30Z - present)\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: JWT library\nLabels: Object\nSummary: The auth system is using a legacy JWT library that needs refactoring eventually, as mentioned by Marcus Chen.\n\nName: JWT tokens\nLabels: Object\nSummary: JWT tokens use a legacy library that needs refactoring. Currently, they work with a 15-minute expiry in the Authorization header.\n\nName: auth system\nLabels: Topic\nSummary: The auth system is currently using a legacy JWT library that Marcus Chen noted needs refactoring.\n\nName: Authorization header\nLabels: Entity\nSummary: JWT tokens in the Authorization header have a 15-minute expiry, as configured, despite the auth system needing future refactoring.\n\nName: tech debt backlog\nLabels: Topic\nSummary: The tech debt backlog includes refactoring the legacy JWT authentication library. Marcus Chen's team needs good app performance for TaskFlow AI's demo day on the 15th of next month.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"description\":\"Docker Compose configuration for Marcus Chen's local development database setup\",\"user_first_name\":\"Marcus\",\"user_",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3178,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 371.7637062072754,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states both required elements from the golden answer: that JWT tokens are configured to be present in the Authorization header, and that JWT tokens have a 15-minute expiry. These facts are current/present in the provided context, so no additional information is required to answer the question as framed by the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "JWT tokens are present in the Authorization header",
+ "JWT tokens have a 15-minute expiry"
+ ],
+ "completeness_duration_ms": 3163.1202697753906,
+ "answer": "Your system uses a legacy JWT library (added to the tech\u2011debt backlog for refactoring) that issues JWTs in the Authorization header with a 15\u2011minute expiry.",
+ "golden_answer": "You use JWT tokens with 15-minute expiry, sent in the Authorization header.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential details: it states the system uses JWT tokens, that they expire in 15 minutes, and that they are sent in the Authorization header. Extra commentary about a legacy library does not omit or change those key facts.",
+ "response_duration_ms": 3163.1205081939697,
+ "grading_duration_ms": 3169.222831726074,
+ "total_duration_ms": 6704.108715057373,
+ "response_input_tokens": 569,
+ "response_output_tokens": 170,
+ "completeness_input_tokens": 1101,
+ "completeness_output_tokens": 176,
+ "grading_input_tokens": 529,
+ "grading_output_tokens": 131,
+ "total_input_tokens": 2199,
+ "total_output_tokens": 477
+ },
+ {
+ "question": "Who reviews different types of PRs on my team?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen usually reviews PRs between 10:00 AM and 10:30 AM. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nJake Morrison will review the frontend PR. (Date range: 2024-03-18T15:03:00Z - present)\n\nMarcus Chen asked for a review of the frontend PR. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:03:00Z)\n\nPriya Patel reviews all infrastructure and DevOps changes. (Date range: 2024-03-19T14:02:00Z - present)\n\nSarah Kim is designated as the reviewer for the PR. (Date range: 2024-03-18T09:15:00Z - 2024-03-18T15:03:00Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: frontend PR\nLabels: Topic\nSummary: Marcus Chen requested Jake Morrison to review the frontend PR, which previously had console.log statements and 'any' types removed, and a hardcoded API key fixed.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: Priya\nLabels: Entity\nSummary: Priya Patel reviews all infrastructure and DevOps changes for Marcus Chen and was tagged on the ECS deployment PR for visibility.\n\nName: standup\nLabels: Event\nSummary: Marcus Chen reviews PRs between 10:00 AM and his 10:30 AM standup; the original summary stated he missed Wednesday's 10:30 AM standup.\n\nName: Marcus Chen\nLabels: User\nAttributes:\n email: marcus.chen@taskflowai.com\n first_name: Marcus\n last_name: Chen\n role_type: user\n user_id: marcus_chen_001\nSummary: Marcus Chen (marcus.chen@taskflowai.com) reviews PRs between 10:00 AM and 10:30 AM. His taskflow-api project uses Python >=3.11 and dependencies like FastAPI and SQLAlchemy.\n\n\n\n# These are the most relevant episodes\n\nReact Query's useInfiniteQuery hook is well-suited for handling the cursor-based pagination response structure. (Date range: 2024-03-22T10:01:30Z - present)\n\nThe task list endpoint must use cursor-based pagination instead of offset-based pagination. (Date range: 2024-03-22T10:01:00Z - 2024-03-22T10:01:30Z)\n\nThe task list endpoint response includes pagination info and other metadata within the \"meta\" field. (Date range: 2024-03-22T10:02:30Z - present)\n\nMarcus Chen requested that the task list endpoint uses cursor-based pagination. (Date range: 2024-03-22T10:01:00Z - present)\n\nThe meta object within the response wrapper contains pagination information. (Date range: 2024-03-22T10:02:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: pagination info\nLabels: Topic\nSummary: Marcus Chen confirmed task list API uses cursor pagination (limit/cursor params) and standard response wrapper {\"data\": ..., \"meta\": ...} containing pagination info like next_cursor.\n\nName: useInfiniteQuery\nLabels: Entity\nSummary: The useInfiniteQuery hook is used by the assistant to handle cursor-based pagination for the task list endpoint, which utilizes limit and cursor parameters.\n\nName: cursor-based pagination\nLabels: Topic\nSummary: Marcus Chen requested cursor-based pagination (limit/cursor params) for the task list API, which is confirmed to be implemented and handles next_cursor via useInfiniteQuery.\n\nName: next_cursor\nLabels: Entity\nSummary: The next_cursor field is included in the meta object of the task list API response, facilitating cursor-based pagination handled by React Query's useInfiniteQuery.\n\nName: API\nLabels: Entity\nSummary: Marcus Chen confirmed the API list endpoint uses c",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3264,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 393.3382034301758,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the API uses cursor-based pagination and mentions the limit and cursor parameters (in the Entities summary and Facts). It also references the next_cursor field in the meta object, which supports cursor-based pagination. These elements fully match the Golden Answer\u2019s requirement to use cursor-based pagination with limit and cursor parameters.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "cursor-based pagination",
+ "limit parameter",
+ "cursor parameter",
+ "next_cursor in meta object",
+ "task list endpoint uses cursor pagination",
+ "useInfiniteQuery as a client helper (related)"
+ ],
+ "completeness_duration_ms": 4550.584316253662,
+ "answer": "Use React Query's useInfiniteQuery with the API's cursor-based pagination (limit and cursor params), reading next_cursor from response.meta to fetch subsequent pages.",
+ "golden_answer": "You use cursor-based pagination with limit and cursor parameters.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly states using cursor-based pagination and mentions the limit and cursor parameters, matching the golden answer. It adds implementation detail (useInfiniteQuery and reading next_cursor from response.meta) but does not omit or contradict any essential information.",
+ "response_duration_ms": 4550.5852699279785,
+ "grading_duration_ms": 3462.022066116333,
+ "total_duration_ms": 8405.946731567383,
+ "response_input_tokens": 546,
+ "response_output_tokens": 101,
+ "completeness_input_tokens": 1073,
+ "completeness_output_tokens": 255,
+ "grading_input_tokens": 520,
+ "grading_output_tokens": 130,
+ "total_input_tokens": 2139,
+ "total_output_tokens": 486
+ },
+ {
+ "question": "What's my deployment schedule?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays. (Date range: 2024-03-19T14:01:00Z - 2024-03-19T14:01:30Z)\n\nThe deployment to AWS ECS is happening today because it is Tuesday. (Date range: 2024-03-19T14:01:30Z - present)\n\nMarcus Chen stated that they can deploy if the CI pipeline passes. (Date range: 2024-03-19T14:00:00Z - present)\n\nMarcus Chen asked that Priya Patel be notified about the deployment trigger. (Date range: 2024-03-19T14:02:00Z - present)\n\nGitHub Actions is used as the method for deployment to AWS ECS. (Date range: 2024-03-19T14:01:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\n\nMerging PR '[TF-247] Add task sharing feature' requires at least one approval from an entity like Sarah. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe PR '[TF-247] Add task sharing feature' requires approval from Sarah. (Date range: 2024-03-18T09:17:00Z - present)\n\nMarcus Chen confirms it is good practice to always rebase on main before creating a PR. (Date range: 2024-03-18T09:16:00Z - present)\n\nMarcus Chen requests that a squash merge should be performed once approval is given and CI passes. (Date range: 2024-03-18T09:18:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: CI\nLabels: Topic\nSummary: CI is running lint, type-check, and tests for PR [TF-247]. Marcus Chen requires CI passing and one approval before the PR can be squash merged and the branch deleted.\n\nName: approval\nLabels: Entity\nSummary: Marcus Chen will ask Sarah to review the PR for '[TF-247] Add task sharing feature'. The change requires at least one approval and passing CI before a squash merge and branch deletion.\n\nName: Sarah\nLabels: Entity\nSummary: Marcus Chen will ping Sarah to review the PR titled \"[TF-247] Add task sharing feature\"; at least one approval is needed before merging.\n\nName: [TF-247] Add task sharing feature\nLabels: Entity\nSummary: Marcus Chen created PR '[TF-247] Add task sharing feature' after rebasing on main. Sarah Kim will review it, requiring at least one approval before merging.\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- wit",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2919,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 440.5808448791504,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that the PR requires at least one approval, that the merge is contingent on CI passing, and includes statements that the PR was created after rebasing on main and that rebasing on main is good practice. Therefore all three requirements from the golden answer are present.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "At least one approval is required",
+ "CI must pass before merge",
+ "Rebase on main (PR created after rebasing; rebasing is required/good practice)"
+ ],
+ "completeness_duration_ms": 4124.583005905151,
+ "answer": "You need at least one approval (e.g., from Sarah) and passing CI; once that\u2019s satisfied perform a squash merge and delete the branch.",
+ "golden_answer": "Before merging, you need at least one approval, CI must pass, and you must rebase on main.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions at least one approval and passing CI but omits the requirement to rebase on main. Instead it adds instructions about squash merging and deleting the branch, which are not in the golden answer. Because the essential 'rebase on main' requirement is missing, the response is not equivalent.",
+ "response_duration_ms": 4124.58348274231,
+ "grading_duration_ms": 3950.733184814453,
+ "total_duration_ms": 8515.898704528809,
+ "response_input_tokens": 586,
+ "response_output_tokens": 228,
+ "completeness_input_tokens": 1124,
+ "completeness_output_tokens": 183,
+ "grading_input_tokens": 534,
+ "grading_output_tokens": 143,
+ "total_input_tokens": 2244,
+ "total_output_tokens": 554
+ },
+ {
+ "question": "What's my API versioning and resource naming approach?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe API uses /api/v1/ versioning scheme that the endpoint must adhere to. (Date range: 2024-03-15T10:48:00Z - present)\n\nThe request/response models were created using Pydantic v2. (Date range: 2024-03-15T10:48:30Z - present)\n\nSome endpoints were migrated to GraphQL, establishing a hybrid approach, as of the current time. (Date range: 2024-03-22T10:03:00Z - present)\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\nThe taskflow-api project has a dependency on pydantic, with a minimum version of 2.0. (Date range: 2025-12-04T00:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: request/response models\nLabels: Entity\nSummary: Pydantic v2 was used to create the request/response models for the new POST /api/v1/tasks/{task_id}/shares endpoint, which was added to src/api/v1/routers/tasks.py.\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: API\nLabels: Entity\nSummary: Marcus Chen confirmed the API list endpoint uses cursor-based pagination (limit/cursor) and standard wrapper: {\"data\": ..., \"meta\": {...}}. He also requested integration tests for API endpoints.\n\nName: fastapi\nLabels: Entity\nSummary: FastAPI is a dependency for Marcus Chen's taskflow-api project, requiring version >=0.100.0, configured via pyproject.toml.\n\nName: taskflow-api\nLabels: Entity\nSummary: The 'taskflow-api' project configuration for Marcus Chen requires Python >=3.11 and uses FastAPI, SQLAlchemy, Pydantic, and Alembic. Tooling",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3252,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 588.6728763580322,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the URL path versioning (/api/v1/) and includes multiple REST endpoint examples and router names that use plural resource names (e.g., /api/v1/tasks/{task_id}/shares, src/api/v1/routers/tasks.py). These cover both elements from the golden answer, so the context contains all needed information.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "URL path versioning (/api/v1/)",
+ "Plural resource names (e.g., /api/v1/tasks/{task_id}/shares, routers named tasks)"
+ ],
+ "completeness_duration_ms": 5414.838552474976,
+ "answer": "You use path versioning with /api/v1/, primarily REST-style resource endpoints (e.g., /api/v1/tasks/{task_id}/shares) using plural resource names, the standard {\"data\": ..., \"meta\": {...}} wrapper with cursor-based (limit/cursor) pagination, and some endpoints migrated to GraphQL.",
+ "golden_answer": "You use URL path versioning (/api/v1/) and plural nouns for resource names.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly states path versioning with /api/v1/ and that resource names are plural (examples given). It therefore includes all essential information from the golden answer; additional details do not contradict or omit the required elements.",
+ "response_duration_ms": 5414.838790893555,
+ "grading_duration_ms": 3545.914649963379,
+ "total_duration_ms": 9549.42798614502,
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+ "response_output_tokens": 264,
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+ "completeness_output_tokens": 260,
+ "grading_input_tokens": 565,
+ "grading_output_tokens": 192,
+ "total_input_tokens": 2307,
+ "total_output_tokens": 716
+ },
+ {
+ "question": "What are all my Python code style requirements?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe Python code style conventions require 4-space indentation. (Date range: 2024-03-23T15:00:00Z - 2025-12-04T02:42:48.308Z)\n\nThe tool ruff enforces the Python code style conventions. (Date range: 2024-03-23T15:00:30Z - present)\n\nTyler asked about the Python code style conventions. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Assistant created a quick reference guide for Tyler regarding Python code style conventions. (Date range: 2024-03-23T15:00:30Z - present)\n\nThe Python code style conventions specify using snake_case for Python file names and function names. (Date range: 2024-03-23T15:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: function names\nLabels: Topic\nSummary: Python code style conventions dictate using snake_case for function names, 4-space indentation, and double quotes for strings.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Python\nLabels: Topic\nSummary: Marcus Chen's VS Code settings enable Vim mode, format on save, and use Ruff for Python formatting/linting. Python indentation is set to 4 spaces in settings.json.\n\nName: python.formatting.provider\nLabels: Topic\nSummary: Marcus Chen's VS Code settings specify 'ruff' as the Python formatting provider. His Python linting also uses Ruff.\n\n\n\n# These are the most relevant episodes\n\ncamelCase for function names is required in TypeScript. (Date range: 2024-03-17T14:31:00Z - present)\n\nSingle quotes in TypeScript are a required formatting element. (Date range: 2024-03-17T14:31:00Z - present)\n\nThe typescript configuration section exists in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe style rules prohibit using 'any' types in TypeScript. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\nThe style rules prohibit leaving console.log statements in the code. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: style rules\nLabels: Topic\nSummary: Style rules review requested for a frontend PR involving Tyler, Marcus Chen's mentee. Rules include no console.log statements and no 'any' types in TypeScript.\n\nName: single quotes in TypeScript\nLabels: Preference\nSummary: Marcus Chen requested single quotes for TypeScript files and camelCase for function names like handleAcceptShare, which the assistant implemented.\n\nName: TypeScript\nLabels: Topic\nSummary: Marcus Chen configured TypeScript settings in VS Code to use 2 space tab size and the Prettier extension for default formatting.\n\nName: eslint\nLabels: Object\nSummary: Marcus Chen uses eslint in the taskflow-frontend project with the script \"eslint . --ext .ts,.tsx\" defined in package.json.\n\nName: type-check\nLabels: Topic\nSummary: Marcus Chen configured Git hooks in .gitconfig to run 'type-check' before committing. Existing summary notes type-check passed CI deployment check on Tuesday with 92% coverage.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code edit",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3318,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 451.5652656555176,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of the required TypeScript style items (2-space indentation, single quotes, and camelCase for function names). However, it does not mention PascalCase requirement for React component names nor the use of the @ alias for absolute imports from src. Therefore the context is incomplete relative to the golden answer.",
+ "completeness_missing_elements": [
+ "PascalCase for React components",
+ "Use of @ alias for absolute imports from src"
+ ],
+ "completeness_present_elements": [
+ "2-space indentation",
+ "Single quotes for TypeScript",
+ "camelCase for function names",
+ "TypeScript settings in .vscode/settings.json",
+ "Prettier configured for formatting"
+ ],
+ "completeness_duration_ms": 7701.433897018433,
+ "answer": "Use camelCase for function names (e.g., handleAcceptShare), use single quotes in TypeScript files, and follow the TypeScript settings in .vscode/settings.json (2\u2011space tab size with Prettier as the default formatter).",
+ "golden_answer": "Your TypeScript code style requires: 2-space indentation, single quotes, camelCase for functions, PascalCase for React components, and the @ alias for absolute imports from src.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits two required items from the golden answer: PascalCase for React components and the @ alias for absolute imports from src. It does include camelCase for functions, single quotes, and 2-space indentation (via .vscode settings), but missing any mention of the @ import alias and the PascalCase rule, so it is not semantically equivalent.",
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+ "grading_output_tokens": 156,
+ "total_input_tokens": 2320,
+ "total_output_tokens": 802
+ },
+ {
+ "question": "What's my complete PR workflow before merging?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMerging PR '[TF-247] Add task sharing feature' requires at least one approval from an entity like Sarah. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nMarcus Chen requests that a squash merge should be performed once approval is given and CI passes. (Date range: 2024-03-18T09:18:00Z - present)\n\nMarcus Chen confirms it is good practice to always rebase on main before creating a PR. (Date range: 2024-03-18T09:16:00Z - present)\n\nJake Morrison will review the frontend PR. (Date range: 2024-03-18T15:03:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: CI\nLabels: Topic\nSummary: CI is running lint, type-check, and tests for PR [TF-247]. Marcus Chen requires CI passing and one approval before the PR can be squash merged and the branch deleted.\n\nName: Sarah\nLabels: Entity\nSummary: Marcus Chen will ping Sarah to review the PR titled \"[TF-247] Add task sharing feature\"; at least one approval is needed before merging.\n\nName: [TF-247] Add task sharing feature\nLabels: Entity\nSummary: Marcus Chen created PR '[TF-247] Add task sharing feature' after rebasing on main. Sarah Kim will review it, requiring at least one approval before merging.\n\nName: PRs\nLabels: Entity\nSummary: Marcus Chen committed a fix using the 'fix:' prefix: \"fix: resolve priority update validation error in task service\". PR [TF-247] for feature branch feat/TF-247-task-sharing is pending assistant rebase on main before Sarah Kim reviews.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all check",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3004,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 603.1966209411621,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "All five key steps from the golden answer are explicitly present in the context: rebasing on main (Marcus confirms it's good practice and PR was created after rebasing), requiring at least one approval (facts state at least one approval from Sarah or similar is required), ensuring CI passes (CI passing is stated as a contingency), using squash merge (Marcus requests a squash merge once approval and CI pass), and deleting the branch after merging (CI entity summary and facts mention deleting the branch after squash merge). Therefore the context contains sufficient information to fully answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Rebase on main before PR",
+ "At least one approval required",
+ "CI must pass before merge",
+ "Use squash merge",
+ "Delete branch after merging"
+ ],
+ "completeness_duration_ms": 6761.892080307007,
+ "answer": "Rebase on main, create the PR, run CI (lint/type-check/tests), request reviewers (ping Sarah; Jake reviews the frontend), get at least one approval (e.g., Sarah) and ensure CI passes, then perform a squash merge and delete the branch.",
+ "golden_answer": "Before merging: rebase your branch on main, get at least one approval, ensure CI passes, use squash merge, and delete the branch after merging.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential steps from the golden answer: rebase on main, obtain at least one approval, ensure CI passes, use a squash merge, and delete the branch after merging. It also adds non-conflicting extra details (creating the PR and reviewer names).",
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+ "grading_duration_ms": 3403.430700302124,
+ "total_duration_ms": 10768.521308898926,
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+ "completeness_output_tokens": 297,
+ "grading_input_tokens": 564,
+ "grading_output_tokens": 201,
+ "total_input_tokens": 2277,
+ "total_output_tokens": 878
+ },
+ {
+ "question": "What's my complete error handling strategy across the stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe full stack trace must be logged at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\nOnly a summary of the full stack trace should be logged at the WARNING level. (Date range: 2024-03-19T10:31:00Z - present)\n\nLogging levels require the full stack trace to be output at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\nMarcus Chen states that logging levels follow a standard pattern of full stack trace at ERROR and summary at WARNING. (Date range: 2024-03-19T10:31:00Z - present)\n\nTaskShareErrorBoundary component prevents the app from crashing when errors occur (Date range: 2024-03-19T10:33:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: full stack trace\nLabels: Entity\nSummary: Marcus Chen specified that the full stack trace should be logged at the ERROR level, while a summary is logged at WARNING level, following the standard pattern.\n\nName: ERROR level\nLabels: Entity\nSummary: At ERROR level logging, the standard pattern requires logging the full stack trace, as confirmed by Marcus Chen.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Sentry error tracking\nLabels: Topic\nSummary: Marcus Chen requested Sentry error tracking for the task sharing endpoint, structured JSON logging with correlation IDs, and defining log levels (full stack trace at ERROR, summary at WARNING).\n\nName: TaskShareErrorBoundary component\nLabels: Entity\nSummary: TaskShareErrorBoundary component was added and used to wrap task sharing routes, catching errors and showing a toast notification in",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3182,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 476.24802589416504,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes most of the elements from the golden answer: it documents an error boundary component (TaskShareErrorBoundary) used to wrap task-sharing routes and show a toast notification, and it references structured JSON logging with correlation IDs and logging-level rules (full stack trace at ERROR, summary at WARNING). However, the context does not mention custom TaskFlowError (or any custom Python exception classes) as part of the error handling strategy, so that key element from the golden answer is missing.",
+ "completeness_missing_elements": [
+ "custom TaskFlowError (custom Python exception classes)"
+ ],
+ "completeness_present_elements": [
+ "error boundary at route level (TaskShareErrorBoundary)",
+ "toast notifications for user-facing errors",
+ "structured JSON logging",
+ "correlation IDs for tracing",
+ "logging policy: full stack trace at ERROR and summary at WARNING"
+ ],
+ "completeness_duration_ms": 6674.246311187744,
+ "answer": "Across the stack you use Sentry for the task-sharing endpoint with structured JSON logs and correlation IDs, use the logger module (not print) in production Python, log full stack traces at ERROR and only summaries at WARNING, and wrap task-sharing routes with the TaskShareErrorBoundary to prevent crashes and show a toast.",
+ "golden_answer": "Your error handling uses: custom TaskFlowError exception classes in Python, error boundaries at the route level in React, toast notifications for user-facing errors, structured JSON logging, and correlation IDs for tracing.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits the specific custom Python exception classes (TaskFlowError) mentioned in the golden answer. While it includes error boundaries (TaskShareErrorBoundary), toast notifications, structured JSON logging, and correlation IDs, it does not state use of TaskFlowError exception classes, so it is missing a critical element.",
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+ "grading_duration_ms": 3612.948417663574,
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+ "response_output_tokens": 325,
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+ "completeness_output_tokens": 309,
+ "grading_input_tokens": 584,
+ "grading_output_tokens": 210,
+ "total_input_tokens": 2228,
+ "total_output_tokens": 844
+ },
+ {
+ "question": "What's my complete testing philosophy and approach?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe CI pipeline requires that the tests pass. (Date range: 2024-03-19T14:00:00Z - 2024-03-19T14:00:30Z)\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\nMarcus Chen wants the full test suite to be run. (Date range: 2024-03-16T11:03:00Z - 2024-03-16T11:03:30Z)\n\nAssistant included the 'Testing' section in the PR description. (Date range: 2024-03-18T09:16:30Z - present)\n\nThe integration test started passing after the bug was fixed (Date range: 2024-03-16T11:02:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: unit test\nLabels: Event\nSummary: Marcus Chen requested an integration test for an API endpoint instead of a unit test when addressing a bug related to task priority updates (TF-251).\n\nName: Testing\nLabels: Topic\nSummary: The PR for feature [TF-247] includes a required 'Testing' section in its description. CI is currently running tests for this PR.\n\nName: tests\nLabels: Topic\nSummary: Marcus Chen confirmed deployment today after CI pipeline passed, showing tests achieved 92% coverage.\n\nName: test suite\nLabels: Topic\nSummary: Marcus Chen requested running the full test suite with pytest, which resulted in 147 passing tests and 94% coverage on new code.\n\nName: GraphQL\nLabels: Topic\nSummary: The system uses a hybrid approach, keeping REST for most things but migrating some endpoints to GraphQL. React 18 concurrent features help with GraphQL subscriptions for real-time updates.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-12-04T02",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2772,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 508.9857578277588,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several relevant testing facts: integration tests hitting the real API and explicit preference for integration tests over unit tests for an API bug (Marcus requested an integration test), and test coverage metrics showing >80% (92% and 94% listed, including coverage on new code). However, key elements from the golden answer are missing: there is no mention of using factory_boy for test data, no explicit statement about writing a failing test first for bug fixes (TDD), and no policy about E2E tests being limited to critical user journeys. Because some but not all required elements are present, the context is partially complete.",
+ "completeness_missing_elements": [
+ "Use of factory_boy for test data",
+ "Write failing test first for bug fixes (TDD)",
+ "E2E tests limited to critical user journeys"
+ ],
+ "completeness_present_elements": [
+ "Prefer integration tests over unit tests for APIs (Marcus requested integration test)",
+ "Integration test hits the actual API endpoint",
+ "Test coverage on new code >= 80% (facts show 92% and 94% coverage)"
+ ],
+ "completeness_duration_ms": 7462.294340133667,
+ "answer": "Your testing philosophy is to require CI to pass (with a 'Testing' section in PRs), run the full pytest suite (147 passing tests, ~92\u201394% coverage), favor real integration tests against the actual API for critical bugs (e.g., TF-251), and only deploy after integration tests pass.",
+ "golden_answer": "Your testing approach: 80% minimum coverage for new code, prefer integration tests over unit tests for APIs, use factory_boy for test data, write failing test first for bug fixes (TDD), and E2E tests only for critical user journeys.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response is missing several essential points from the golden answer: it does not state the 80% minimum coverage requirement for new code (it only mentions current overall coverage ~92\u201394%), it omits preferring factory_boy for test data, it does not include the practice of writing a failing test first for bug fixes (TDD), and it does not mention that E2E tests are used only for critical user journeys. It only covers CI/pass, running pytest, and favoring integration tests.",
+ "response_duration_ms": 7462.294578552246,
+ "grading_duration_ms": 4878.123760223389,
+ "total_duration_ms": 12849.405765533447,
+ "response_input_tokens": 606,
+ "response_output_tokens": 390,
+ "completeness_input_tokens": 1174,
+ "completeness_output_tokens": 386,
+ "grading_input_tokens": 595,
+ "grading_output_tokens": 249,
+ "total_input_tokens": 2375,
+ "total_output_tokens": 1025
+ },
+ {
+ "question": "What's my complete local development environment setup?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\n.env.local contains all the local development environment variables. (Date range: 2024-03-20T09:03:00Z - present)\n\n.env.local stores all our local dev config. (Date range: 2024-03-20T09:03:00Z - present)\n\nThe postgres:15 image is configured within the docker-compose.yml file for local development setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\nThe Assistant verified that .env.local is in .gitignore. (Date range: 2024-03-18T15:02:30Z - 2024-03-20T09:03:00Z)\n\nThe file .env.example was copied to create .env.local. (Date range: 2024-03-20T09:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: environment variables\nLabels: Topic\nSummary: Marcus Chen confirmed that hardcoded API keys should be moved to .env.local, which is gitignored for local development environment variables.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\nName: .env.example\nLabels: Document\nSummary: Marcus Chen instructed to copy .env.example to .env.local for local dev config, ensuring secrets are gitignored.\n\nName: Node.js\nLabels: Topic\nSummary: pnpm, the Node.js package manager, was installed for Marcus Chen's development setup via curl.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.532462Z) I need to set up my new MacBook for development. L",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2885,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 524.90234375,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of the items from the golden answer: pnpm is mentioned, PostgreSQL configured in docker with port 5433 is documented in docker-compose.yml, and .env.local as the local environment variables file is present. The presence of 'uv' (Python package manager) is indicated in the Entities summary. However, there is no mention of VS Code or Vim keybindings in the provided context, which is a required element of the golden answer. Because one key element is missing, the context is only partially sufficient.",
+ "completeness_missing_elements": [
+ "VS Code with Vim keybindings"
+ ],
+ "completeness_present_elements": [
+ ".env.local for environment variables",
+ "pnpm for Node packages",
+ "PostgreSQL in Docker on port 5433",
+ "uv for Python packages"
+ ],
+ "completeness_duration_ms": 10340.818166732788,
+ "answer": "Your local dev setup uses a gitignored .env.local (copied from .env.example) for environment variables, a docker-compose.yml (v3.8) running Postgres 15 exposed on host port 5433\u2192container 5432 with database taskflow_dev and user taskflow, and Node.js tooling with uv and pnpm installed (pnpm installed via curl).",
+ "golden_answer": "Your local setup: VS Code with Vim keybindings, uv for Python packages, pnpm for Node packages, PostgreSQL in Docker on port 5433, and .env.local for environment variables.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits VS Code with Vim keybindings (not mentioned) and misattributes uv: the golden answer specifies uv is for Python packages, but the response groups uv with Node.js tooling rather than stating it\u2019s for Python. Although it includes .env.local, pnpm, and PostgreSQL on port 5433, missing/misstated details make it incomplete.",
+ "response_duration_ms": 10340.818881988525,
+ "grading_duration_ms": 4913.888692855835,
+ "total_duration_ms": 15779.611587524414,
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+ "grading_output_tokens": 286,
+ "total_input_tokens": 2356,
+ "total_output_tokens": 1334
+ },
+ {
+ "question": "What are all my database table conventions?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe table name for shared_tasks must use plural snake_case. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe database model for shared_tasks must include an id column using UUID v4. (Date range: 2024-03-15T10:46:00Z - present)\n\nAlembic migrations were run to set up the schema for PostgreSQL (Date range: 2024-03-20T09:02:30Z - present)\n\nPython conventions specify using snake_case for certain elements. (Date range: 2024-03-23T15:00:30Z - present)\n\nThe Assistant created a quick reference guide for Tyler regarding Python code style conventions. (Date range: 2024-03-23T15:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: database model\nLabels: Entity\nSummary: Marcus Chen requested creation of a new database model named 'shared_tasks', specifying plural snake_case table name, UUID v4 id, and UTC timestamps (created_at, updated_at).\n\nName: shared_tasks\nLabels: Topic\nSummary: Marcus Chen requested the creation of a new database model named 'shared_tasks' with a UUID v4 id, snake_case plural table name, and UTC timestamps for created_at and updated_at.\n\nName: conventional\nLabels: Topic\nSummary: Marcus Chen uses conventional commit convention for git commits, as configured in .gitconfig.\n\nName: refactor\nLabels: Topic\nSummary: The term 'refactor' is listed as a valid type for Git branch naming conventions (/- using prefix 'TF') and commit conventions for Marcus Chen's project.\n\nName: conventional commits style\nLabels: Topic\nSummary: Marcus Chen instructed that a commit following the conventional commits style should use the 'fix:' prefix because it resolves a bug in task_service.py.\n\n\n\n# These are the most relevant episodes\n\nThe API uses /api/v1/ versioning scheme that the endpoint must adhere to. (Date range: 2024-03-15T10:48:00Z - present)\n\nThe usage of the 'any' type was identified within the API response handler. (Date range: 2024-03-18T15:00:30Z - 2024-03-18T15:01:00Z)\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\nMarcus Chen prefers integration tests over unit tests for API endpoints. (Date range: 2024-03-16T11:01:00Z - present)\n\nMarcus Chen prefers the test to be an integration test for the API endpoint. (Date range: 2024-03-16T11:01:00Z - 2024-03-16T11:01:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: response wrapper format\nLabels: Entity\nSummary: The standard response wrapper format, {\"data\": ..., \"meta\": {...}}, with pagination info in meta, was confirmed for the API endpoint, matching all other endpoints.\n\nName: API\nLabels: Entity\nSummary: Marcus Chen confirmed the API list endpoint uses cursor-based pagination (limit/cursor) and standard wrapper: {\"data\": ..., \"meta\": {...}}. He also requested integration tests for API endpoints.\n\nName: data\nLabels: Entity\nSummary: The 'data' object in the API response wrapper should contain the list items, following the standard {\"data\": ..., \"meta\": {...}} structure consistent across all endpoints.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at ",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3196,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 575.6750106811523,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes the API versioning (/api/v1/), the standard response wrapper ({\"data\": ..., \"meta\": {...}}), and confirmation of cursor-based pagination using limit and cursor. However, it does not mention the resource naming convention (use of plural nouns) nor authentication details such as JWT in the Authorization header. Therefore some key elements from the golden answer are missing and additional context is required to fully answer the question.",
+ "completeness_missing_elements": [
+ "Use plural nouns for resource names (e.g., /users, /orders)",
+ "JWT authentication using the Authorization header"
+ ],
+ "completeness_present_elements": [
+ "URL versioning at /api/v1/",
+ "Response wrapper format {\"data\": ..., \"meta\": {...}}",
+ "Cursor-based pagination with limit and cursor parameters",
+ "Pagination info located in meta"
+ ],
+ "completeness_duration_ms": 12416.27550125122,
+ "answer": "Standards: use /api/v1/ versioning; most endpoints are REST and must use the standard response wrapper {\"data\": ..., \"meta\": {...}} with pagination info in meta; list endpoints use cursor-based pagination (limit/cursor) and the data object contains the list items; some endpoints use GraphQL; integration tests are preferred for API endpoints and should hit the actual API; production Python code should use the logger module instead of print() and log full stack traces at ERROR level; note that the usage of the 'any' type was identified in the API response handler.",
+ "golden_answer": "Your API standards: plural nouns for resources, cursor-based pagination with limit and cursor params, response wrapper format {\"data\": ..., \"meta\": {...}}, URL versioning at /api/v1/, and JWT auth in Authorization header.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits two essential standards from the golden answer: using plural nouns for resources, and JWT authentication via the Authorization header. It includes versioned URLs (/api/v1/), the response wrapper, and cursor-based pagination (limit/cursor), but failing to mention plural resource names and JWT auth makes it incomplete.",
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+ "grading_input_tokens": 642,
+ "grading_output_tokens": 211,
+ "total_input_tokens": 2362,
+ "total_output_tokens": 1218
+ },
+ {
+ "question": "What's my complete weekly meeting and deployment schedule?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays. (Date range: 2024-03-19T14:01:00Z - 2024-03-19T14:01:30Z)\n\nThe deployment to AWS ECS is happening today because it is Tuesday. (Date range: 2024-03-19T14:01:30Z - present)\n\nMarcus Chen asked that Priya Patel be notified about the deployment trigger. (Date range: 2024-03-19T14:02:00Z - present)\n\nGitHub Actions is used as the method for deployment to AWS ECS. (Date range: 2024-03-19T14:01:00Z - present)\n\nThe Assistant is ready to trigger the deployment to AWS ECS. (Date range: 2024-03-19T14:01:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\nName: work\nLabels: Topic\nSummary: The entity 'work' is mentioned as one of the categories used by the AI task categorization feature, which utilizes GPT-4 via LangChain.\n\nName: task priorities\nLabels: Topic\nSummary: Marcus Chen reported a bug (TF-251) where users cannot update task priorities and requested a failing test be written first using TDD.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2998,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 423.6769676208496,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes deployment scheduling details matching part of the golden answer (deploys on Tuesdays and Thursdays, with an active Tuesday deploy). However, it contains no information about the meeting schedule items from the golden answer: the daily standup time (10:30am), sprint planning on Monday mornings, or the no-meeting Wednesday afternoons. Therefore the context is only partially sufficient.",
+ "completeness_missing_elements": [
+ "Daily standup at 10:30am",
+ "Sprint planning on Monday mornings",
+ "No-meeting Wednesday afternoons (focus time)"
+ ],
+ "completeness_present_elements": [
+ "Deploys allowed on Tuesdays and Thursdays (not Fridays)",
+ "A deployment is happening today because it is Tuesday",
+ "GitHub Actions used for deployment to AWS ECS",
+ "Priya Patel to be notified about deployments",
+ "CI pipeline passed checks and artifact ready"
+ ],
+ "completeness_duration_ms": 8547.074317932129,
+ "answer": "Deployments are allowed weekly on Tuesdays and Thursdays (never Fridays); today (Tuesday) the CI pipeline (which Marcus requested) passed (92% coverage), the build artifact is ready, and the deployment to AWS ECS is being rolled out via GitHub Actions with Priya Patel reviewing the deployment PR and notified. \nThere is no meeting schedule information in the provided context.",
+ "golden_answer": "Your schedule: daily standup at 10:30am, sprint planning on Monday mornings, no-meeting Wednesday afternoons for focus time, and deploys only on Tuesdays and Thursdays.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response only includes the deployment detail (Tuesdays and Thursdays) but omits the other essential schedule items from the golden answer: daily standup at 10:30am, sprint planning on Monday mornings, and no-meeting Wednesday afternoons. It also adds unrelated deployment details. Therefore it does not contain all required information.",
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+ "grading_input_tokens": 591,
+ "grading_output_tokens": 149,
+ "total_input_tokens": 2348,
+ "total_output_tokens": 985
+ },
+ {
+ "question": "What's my complete frontend tech stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\n'taskflow-frontend' has typescript as a dev dependency, version ^5.1.0. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n'taskflow-frontend' depends on react version ^18.2.0. (Date range: 2025-12-04T02:42:48.31Z - present)\n\nThe project 'taskflow-frontend' configuration belongs to Marcus Chen. (Date range: 2025-12-04T02:42:48.31Z - present)\n\nThe task list component should use React Query for server state management. (Date range: 2024-03-22T10:00:00Z - present)\n\nMarcus Chen asked for a review of the frontend PR. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:03:00Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\nName: taskflow-frontend\nLabels: Entity\nSummary: Marcus Chen's 'taskflow-frontend' uses pnpm@8.6.0, React, Zustand, and Zod. Scripts include dev (vite), build, test (vitest), and lint (eslint). Dev dependencies include Vitest and Playwright.\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\nName: TailwindCSS\nLabels: Entity\nSummary: Marcus Chen's 'taskflow-frontend' project uses TailwindCSS in its devDependencies (version ^3.3.0). The previous summary mentioned using TailwindCSS for styling.\n\nName: fastapi\nLabels: Entity\nSummary: FastAPI is a dependency for Marcus Chen's taskflow-api project, requiring version >=0.100.0, configured via pyproject.toml.\n\n\n\n# Th",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3482,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 514.5480632781982,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The CONTEXT explicitly includes all elements from the GOLDEN ANSWER: React ^18.2.0 is listed, TypeScript is present as a dev dependency, TailwindCSS is listed in devDependencies, Zustand is a dependency, React Query / TanStack Query is referenced for server state management, and Zod is mentioned for runtime validation. Therefore the context contains all required information to answer the question fully.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "React 18 (^18.2.0)",
+ "TypeScript (dev dependency)",
+ "TailwindCSS (devDependency, ^3.3.0)",
+ "Zustand (dependency, ^4.3.0)",
+ "React Query / TanStack Query (used for server state)"
+ ],
+ "completeness_duration_ms": 9460.935831069946,
+ "answer": "Your frontend stack: React (^18.2.0) with TypeScript (^5.1.0, dev), pnpm (8.6.0), Vite, TailwindCSS (^3.3.0), Zustand (^4.3.0) for UI state, React Query (TanStack Query) for server state, Zod for schemas, Vitest and Playwright for testing, and ESLint; plus route-level error boundaries and an \"@\" alias for absolute imports.",
+ "golden_answer": "Your frontend stack: React 18 with TypeScript, TailwindCSS for styling, Zustand for state management, React Query (TanStack Query) for server state, and zod for runtime validation.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential items from the golden answer: React 18 (specified as ^18.2.0) with TypeScript, TailwindCSS, Zustand, React Query (TanStack Query), and Zod (zod) for validation. Additional tools are present but do not omit any required information.",
+ "response_duration_ms": 9460.936307907104,
+ "grading_duration_ms": 3341.4595127105713,
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+ "grading_input_tokens": 618,
+ "grading_output_tokens": 146,
+ "total_input_tokens": 2438,
+ "total_output_tokens": 954
+ },
+ {
+ "question": "What's my complete backend tech stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\nReact Query was recently switched to TanStack Query. (Date range: 2024-03-22T10:00:00Z - present)\n\nThe task list component should use React Query for server state management. (Date range: 2024-03-22T10:00:00Z - present)\n\nMarcus Chen is associated with the TaskFlow backend configuration. (Date range: 2025-12-04T00:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: TaskFlow backend\nLabels: Topic\nSummary: The TaskFlow backend project configuration, sourced from pyproject.toml, specifies Python >=3.11, uses Ruff (line-length 88), pytest (cov-fail-under=80), and dependencies like fastapi, sqlalchemy, pydantic, and alembic.\n\nName: pyproject.toml\nLabels: Document\nSummary: The pyproject.toml file configures Marcus Chen's TaskFlow backend project, 'taskflow-api', requiring Python >=3.11. It specifies Ruff settings (line-length 88) and Pytest options, with dependencies including FastAPI and SQLAlchemy.\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\nName: full stack trace\nLabels: Entity\nSummary: Marcus Chen spec",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3540,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 474.3220806121826,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context explicitly lists FastAPI, SQLAlchemy, Pydantic, and Alembic as dependencies in the TaskFlow backend/pyproject.toml, so several key backend components from the golden answer are present. However, the context does not state the database (PostgreSQL) nor specify SQLAlchemy 2.0 with async support or Pydantic v2 explicitly. Because those specific items (PostgreSQL, SQLAlchemy 2.0 async, Pydantic v2) are required to match the golden answer, the context is incomplete.",
+ "completeness_missing_elements": [
+ "PostgreSQL (database)",
+ "SQLAlchemy 2.0 with async support (explicit version/async)",
+ "Pydantic v2 (explicit version)"
+ ],
+ "completeness_present_elements": [
+ "FastAPI (framework)",
+ "SQLAlchemy (dependency listed)",
+ "Pydantic (dependency listed)",
+ "Alembic (migrations dependency listed)",
+ "Python >=3.11 requirement",
+ "pyproject.toml references for TaskFlow backend"
+ ],
+ "completeness_duration_ms": 5959.11431312561,
+ "answer": "Your backend (taskflow-api) uses Python >=3.11 with FastAPI, SQLAlchemy, Pydantic and Alembic, plus development tools Ruff (line-length 88) and pytest (cov-fail-under=80) as specified in pyproject.toml.",
+ "golden_answer": "Your backend stack: FastAPI for the framework, PostgreSQL for the database, SQLAlchemy 2.0 with async support, Pydantic v2 for validation, and Alembic for migrations.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits PostgreSQL and does not specify SQLAlchemy 2.0 with async support or Pydantic v2. It only lists FastAPI, SQLAlchemy, Pydantic, and Alembic plus extra tooling, so it is missing critical details from the golden answer.",
+ "response_duration_ms": 5959.115028381348,
+ "grading_duration_ms": 3411.4253520965576,
+ "total_duration_ms": 9844.864130020142,
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+ "completeness_output_tokens": 351,
+ "grading_input_tokens": 575,
+ "grading_output_tokens": 205,
+ "total_input_tokens": 2296,
+ "total_output_tokens": 810
+ },
+ {
+ "question": "What's my complete logging and monitoring setup?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nOnly a summary of the full stack trace should be logged at the WARNING level. (Date range: 2024-03-19T10:31:00Z - present)\n\nThe full stack trace must be logged at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\nMarcus Chen requires implementing structured JSON logging for request tracing. (Date range: 2024-03-19T10:30:00Z - present)\n\nAssistant is monitoring the status of CI (Date range: 2024-03-18T09:17:30Z - present)\n\nLogging levels require the full stack trace to be output at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: logging\nLabels: Topic\nSummary: Marcus Chen requested structured JSON logging with correlation IDs for task sharing endpoint. Logging now uses full stack traces at ERROR level and summaries at WARNING level.\n\nName: full stack trace\nLabels: Entity\nSummary: Marcus Chen specified that the full stack trace should be logged at the ERROR level, while a summary is logged at WARNING level, following the standard pattern.\n\nName: Sentry error tracking\nLabels: Topic\nSummary: Marcus Chen requested Sentry error tracking for the task sharing endpoint, structured JSON logging with correlation IDs, and defining log levels (full stack trace at ERROR, summary at WARNING).\n\nName: structured JSON logging\nLabels: Topic\nSummary: Marcus Chen requested structured JSON logging with correlation IDs, which was implemented. He later specified logging full stack traces at ERROR level and summaries at WARNING level, and that print() should not be used in production.\n\nName: Python's logger module\nLabels: Entity\nSummary: The logging implementation for the task sharing endpoint now uses Python's logger modul",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3115,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 456.1779499053955,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "All elements from the golden answer are explicitly present in the context: Sentry for error tracking, structured JSON logging, correlation IDs/request tracing, full stack traces at ERROR level, and summaries at WARNING level. The facts and entities explicitly state each of these requirements or that they were implemented, so the context is sufficient to answer the question fully.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Sentry for error tracking",
+ "structured JSON logging",
+ "correlation IDs / request tracing",
+ "full stack traces logged at ERROR level",
+ "summaries logged at WARNING level"
+ ],
+ "completeness_duration_ms": 6374.1419315338135,
+ "answer": "You have structured JSON logging with correlation IDs for request tracing (implemented), full stack traces logged at ERROR and summaries at WARNING, Python's logging module used for the task-sharing endpoint, Sentry error tracking requested for that endpoint, print() is disallowed in production, and CI status is being monitored.",
+ "golden_answer": "Your monitoring setup: Sentry for error tracking, structured JSON logging, correlation IDs for request tracing, full stack traces at ERROR level, and summaries at WARNING level.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all elements from the golden answer: it mentions Sentry for error tracking, structured JSON logging, correlation IDs for request tracing, full stack traces at ERROR level, and summaries at WARNING level. Additional details are present but do not omit any required information.",
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+ "grading_duration_ms": 4376.54185295105,
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+ "grading_output_tokens": 200,
+ "total_input_tokens": 2193,
+ "total_output_tokens": 716
+ },
+ {
+ "question": "What are all my code quality pet peeves to avoid?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen considers console.log statements to be pet peeves and requests their removal. (Date range: 2024-03-18T15:01:00Z - present)\n\nMarcus Chen considers 'any' types in TypeScript to be pet peeves and requests replacement. (Date range: 2024-03-18T15:01:00Z - present)\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\nMarcus Chen requires that type hints be added to function signatures. (Date range: 2024-03-21T11:01:00Z - 2024-03-21T11:01:30Z)\n\nAll Python code requires the presence of type hints. (Date range: 2024-03-21T11:01:00Z - 2024-03-21T11:01:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: pre-commit hooks\nLabels: Topic\nSummary: Pre-commit hooks catch violations of Python style conventions, including the 88-character line limit enforced by ruff and Black.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\nName: type hints\nLabels: Entity\nSummary: Marcus Chen required adding type hints to all Python code, which the assistant implemented in task_categorizer.py using Pydantic v2 models.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Python code\nLabels: Topic\nSummary: Python code in src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization and breakdown. Type hints are now required in all Python code.\n\n\n\n# These are the most relevant episodes\n\nMarcus Chen intends to ask Sarah to review the PR. (Date range: 2024-03-18T09:17:00Z - present)\n\nPriya Patel reviews all infrastructure and DevOps changes. (Date range: 2024-03-19T14:02:00Z - present)\n\nJake Morrison will review the frontend PR. (Date range: 2024-03-18T15:03:00Z - present)\n\nMarcus Chen performs code reviews first thing in the morning. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nThe Assistant pushed fixes and made the Pull Request ready for Jake Morrison's review. (Date range: 2024-03-18T15:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Priya\nLabels: Entity\nSummary: Priya Patel reviews all infrastructure and DevOps changes for Marcus Chen and was tagged on the ECS deployment PR for visibility.\n\nName: Priya Patel\nLabels: Entity\nSummary: Priya Patel is the person who reviews all infrastructure and DevOps changes, as mentioned by Marcus Chen regarding a deployment.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: code reviews\nLabels: Event\nSummary: Marcus Chen performs code reviews first thing in the morning, typically between 10:00 AM and the 10:30 AM standup.\n\nName: ECS service\nLabels: Entity\nSummary: The ECS service deploys via GitHub Actions using a Docker image built on AWS. Deployments only occur on Tuesdays and Thursdays, and Priya Patel reviews all infrastructure changes.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was ",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2904,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 506.0915946960449,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context contains several relevant people and review responsibilities but is missing key details from the golden answer. Priya Patel's responsibility for infrastructure/DevOps and Jake Morrison as the frontend reviewer are explicitly present. There is also a mention that Marcus intends to ask Sarah to review a PR (so Sarah is involved) and Tyler is referenced in an episode, but the context does not state Sarah Kim specifically reviews backend PRs, does not explicitly say you mentor Tyler, and does not include the policy that all PRs require at least one approval. Because those elements are absent, the context is incomplete relative to the golden answer.",
+ "completeness_missing_elements": [
+ "Sarah Kim reviews backend PRs (explicit statement)",
+ "You mentor junior dev Tyler (explicit statement)",
+ "All PRs require at least one approval"
+ ],
+ "completeness_present_elements": [
+ "Priya Patel reviews infrastructure/DevOps changes",
+ "Jake Morrison will review the frontend PR / Jake reviews frontend PRs",
+ "Marcus intends to ask Sarah to review the PR (Sarah is involved)",
+ "Tyler is mentioned in PR comments/episode",
+ "Assistant pushed fixes and made PR ready for Jake's review"
+ ],
+ "completeness_duration_ms": 7172.105312347412,
+ "answer": "Marcus Chen \u2014 performs code reviews (first thing in the morning); Priya Patel \u2014 reviews all infrastructure and DevOps/infrastructure changes; Jake Morrison \u2014 will review the frontend PR; Sarah \u2014 Marcus intends to ask her to review the PR.",
+ "golden_answer": "Your review team: Sarah Kim reviews backend PRs, Jake Morrison reviews frontend PRs, Priya Patel reviews infrastructure/DevOps changes, and you mentor junior dev Tyler. All PRs require at least one approval.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response does not contain all essential information from the golden answer. It omits that Sarah Kim reviews backend PRs (only mentions 'Sarah' and that Marcus may ask her to review, without specifying backend). It fails to mention Tyler (the junior developer you mentor) and the requirement that all PRs need at least one approval. It also introduces Marcus Chen who is not in the golden answer. Therefore it is not semantically equivalent.",
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+ "grading_output_tokens": 299,
+ "total_input_tokens": 2328,
+ "total_output_tokens": 1137
+ },
+ {
+ "question": "What are all my file naming conventions across the codebase?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe Python code style conventions specify using snake_case for Python file names and function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Python code style conventions mandate the use of snake_case for function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nMarcus Chen requested the creation of the task-share-card.tsx file, adhering to the kebab-case naming convention. (Date range: 2024-03-17T14:30:00Z - present)\n\nPython conventions specify using snake_case for certain elements. (Date range: 2024-03-23T15:00:30Z - present)\n\nThe file TaskShareCard.tsx is intended to be created in the components folder. (Date range: 2024-03-17T14:30:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: task_service.py\nLabels: Document\nSummary: The file task_service.py follows Python code style conventions: snake_case for file names, snake_case for function names, 4-space indentation, and double quotes for strings, as established by Marcus Chen.\n\nName: components folder\nLabels: Location\nSummary: Marcus Chen requested creation of a new React component, TaskShareCard.tsx, to be placed in the components folder, using kebab-case naming: task-share-card.tsx.\n\nName: refactor\nLabels: Topic\nSummary: The term 'refactor' is listed as a valid type for Git branch naming conventions (/- using prefix 'TF') and commit conventions for Marcus Chen's project.\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- with TF prefix, and conventional commit convention. Pre-commit hooks include lint, type-check, and test.\n\nName: pre-commit hooks\nLabels: Topic\nS",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3695,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 586.4038467407227,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several relevant naming rules: snake_case for Python files, examples and references to a kebab-case TypeScript filename (task-share-card.tsx), and an instance of a PascalCase React component filename (TaskShareCard.tsx). However, it does not state the conventions for test file names \u2014 neither the Python test pattern (test_.py) nor the React test pattern (.test.tsx) are present. Because some required elements from the golden answer are missing, the completeness is PARTIAL.",
+ "completeness_missing_elements": [
+ "test_.py naming for Python tests",
+ ".test.tsx naming for React tests"
+ ],
+ "completeness_present_elements": [
+ "kebab-case for TypeScript file names (task-share-card.tsx)",
+ "snake_case for Python file names (task_service.py)",
+ "PascalCase React component name/file (TaskShareCard.tsx)"
+ ],
+ "completeness_duration_ms": 7159.836769104004,
+ "answer": "Python files use snake_case (e.g., task_service.py) and React/TSX component filenames use kebab-case (e.g., task-share-card.tsx).",
+ "golden_answer": "Your file naming: kebab-case for TypeScript files, snake_case for Python files, test_.py for Python tests, .test.tsx for React tests, and PascalCase for React component names.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response is incomplete and partly incorrect. It only states Python uses snake_case and that React/TSX component filenames use kebab-case. It omits kebab-case for TypeScript files, the Python test pattern (test_.py), the React test pattern (.test.tsx), and the PascalCase convention for React component names. Therefore it does not contain all essential information from the golden answer.",
+ "response_duration_ms": 7159.837484359741,
+ "grading_duration_ms": 5241.612195968628,
+ "total_duration_ms": 12987.854957580566,
+ "response_input_tokens": 568,
+ "response_output_tokens": 296,
+ "completeness_input_tokens": 1129,
+ "completeness_output_tokens": 392,
+ "grading_input_tokens": 562,
+ "grading_output_tokens": 231,
+ "total_input_tokens": 2259,
+ "total_output_tokens": 919
+ },
+ {
+ "question": "What's my complete Git commit and branch workflow?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen includes 'chore' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen requests that the branch be deleted after the merge is complete. (Date range: 2024-03-18T09:18:00Z - present)\n\nMarcus Chen includes 'docs' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nGit configuration conventions are specified in the .gitconfig file. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- with TF prefix, and conventional commit convention. Pre-commit hooks include lint, type-check, and test.\n\nName: chore\nLabels: Topic\nSummary: The term 'chore' is defined as a commit and branch naming convention type for Marcus Chen's development process, according to .gitconfig.\n\nName: the branch\nLabels: Entity\nSummary: The branch, associated with PR \"[TF-247] Add task sharing feature\", will be squash merged after Sarah approves and CI passes, and then deleted.\n\nName: conventional\nLabels: Topic\nSummary: Marcus Chen uses conventional commit convention for git commits, as configured in .gitconfig.\n\nName: fix\nLabels: Topic\nSummary: Marcus Chen uses 'fix' as a commit type in Git branching convention (/-) with prefix TF; 'fix' is also a configured pre-commit hook for testing.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3046,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 548.9075183868408,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes most elements of the golden answer: it states Marcus Chen uses conventional commits, specifies branch naming as /- with TF prefix, configures squash merge strategy, and requests branches be deleted after merge. However, the context does not mention the requirement to always rebase on main before creating a PR, so one key workflow step from the golden answer is missing.",
+ "completeness_missing_elements": [
+ "Always rebase on main before creating a PR"
+ ],
+ "completeness_present_elements": [
+ "Conventional commits (feat:, fix:, etc.)",
+ "Branch naming as type/TF-ticket-description (/- with TF prefix)",
+ "Squash merges only (squash merge strategy in .gitconfig)",
+ "Delete branches after merge"
+ ],
+ "completeness_duration_ms": 10752.025365829468,
+ "answer": "Create a branch named /TF-- (types include chore, docs, fix, etc.), follow the conventional commit convention, run pre-commit hooks (lint, type-check, test) locally, push and open a PR, wait for CI status from GitHub Actions and reviewer approval, squash-merge using the repo's squash strategy, and delete the branch after merge.",
+ "golden_answer": "Your Git workflow: conventional commits (feat:, fix:, etc.), branch naming as type/TF-ticket-description, squash merges only, delete branches after merge, and always rebase on main before creating PR.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response covers conventional commits, the specified branch naming (type/TF-ticket-description), squash-merge policy, and deleting branches after merge, but it omits the requirement to always rebase on main before creating a PR. Therefore it does not include all essential information from the golden answer.",
+ "response_duration_ms": 10752.025842666626,
+ "grading_duration_ms": 4386.290788650513,
+ "total_duration_ms": 15687.225580215454,
+ "response_input_tokens": 591,
+ "response_output_tokens": 600,
+ "completeness_input_tokens": 1148,
+ "completeness_output_tokens": 324,
+ "grading_input_tokens": 603,
+ "grading_output_tokens": 205,
+ "total_input_tokens": 2342,
+ "total_output_tokens": 1129
+ },
+ {
+ "question": "What's my complete AI and LLM integration stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nOpenAI's GPT-4 API is used for orchestration via LangChain in the AI task categorization feature. (Date range: 2024-03-21T11:00:00Z - present)\n\nThe AI task categorization feature uses OpenAI's GPT-4 API. (Date range: 2024-03-21T11:00:00Z - present)\n\nThe LangChain chain located in src/services/ai/task_categorizer.py calls GPT-4. (Date range: 2024-03-21T11:00:30Z - present)\n\nTaskFlow AI's auth system is using a legacy JWT library. (Date range: 2024-03-20T14:03:00Z - present)\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: GPT-4\nLabels: Entity\nSummary: GPT-4 API is used via LangChain for orchestration in the AI task categorization feature, handling categorization into work, personal, and priority suggestions.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\nName: LangChain\nLabels: Entity\nSummary: LangChain orchestrates AI task categorization (using GPT-4 via LangChain) and task breakdown recommendations; type hints are required in its Python code in src/services/ai/task_categorizer.py.\n\nName: src/services/ai/task_categorizer.py\nLabels: Document\nSummary: The file src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization, priority suggestions, and task breakdown recommendations. Type hints were added to its Python functions.\n\nName: AI task categorization feature\nLabels: Topic\nSummary: The AI task categorization feature needs improvement. It uses GPT-4 via LangChain, is in src/services/ai/task_categor",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3184,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 580.6303024291992,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that OpenAI's GPT-4 API is used via LangChain for orchestration, and that this setup is applied to AI task categorization, priority suggestions, and task breakdown recommendations (including references in facts and entity summaries and the src/services/ai/task_categorizer.py file). All key elements from the golden answer are present.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "OpenAI GPT-4 API as the LLM",
+ "LangChain for orchestration",
+ "Usage for AI task categorization",
+ "Usage for priority suggestions",
+ "Usage for task breakdown recommendations",
+ "Reference to src/services/ai/task_categorizer.py calling GPT-4 via LangChain"
+ ],
+ "completeness_duration_ms": 5220.499515533447,
+ "answer": "Your stack uses OpenAI's GPT-4 API orchestrated via LangChain (implemented in src/services/ai/task_categorizer.py for task categorization, priority suggestions, and task breakdown recommendations with type-hinted Python code), TaskFlow AI's legacy JWT auth system, and integration tests that hit the real API endpoint.",
+ "golden_answer": "Your AI stack: OpenAI GPT-4 API for the LLM, LangChain for orchestration, used for automatic task categorization, priority suggestions, and task breakdown recommendations.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential elements from the golden answer: it names OpenAI GPT-4 API, LangChain for orchestration, and specifies the uses\u2014task categorization, priority suggestions, and task breakdown recommendations. Extra details in the response do not omit any key information.",
+ "response_duration_ms": 5220.500230789185,
+ "grading_duration_ms": 4818.018674850464,
+ "total_duration_ms": 10619.150876998901,
+ "response_input_tokens": 595,
+ "response_output_tokens": 263,
+ "completeness_input_tokens": 1147,
+ "completeness_output_tokens": 283,
+ "grading_input_tokens": 582,
+ "grading_output_tokens": 202,
+ "total_input_tokens": 2324,
+ "total_output_tokens": 748
+ },
+ {
+ "question": "What's my complete infrastructure and deployment stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nGitHub Actions is used as the method for deployment to AWS ECS. (Date range: 2024-03-19T14:01:00Z - present)\n\nPriya Patel reviews all infrastructure and DevOps changes. (Date range: 2024-03-19T14:02:00Z - present)\n\nOnly a summary of the full stack trace should be logged at the WARNING level. (Date range: 2024-03-19T10:31:00Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\nThe type-check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - 2025-12-04T02:42:48.304Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Priya Patel\nLabels: Entity\nSummary: Priya Patel is the person who reviews all infrastructure and DevOps changes, as mentioned by Marcus Chen regarding a deployment.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: Priya\nLabels: Entity\nSummary: Priya Patel reviews all infrastructure and DevOps changes for Marcus Chen and was tagged on the ECS deployment PR for visibility.\n\nName: full stack trace\nLabels: Entity\nSummary: Marcus Chen specified that the full stack trace should be logged at the ERROR level, while a summary is logged at WARNING level, following the standard pattern.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.857377Z) Good. For logging levels, log the full stack trace at ERROR ",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2829,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 548.9096641540527,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes Docker (docker-compose.yml), AWS ECS (deployment references and PRs rolling out to ECS), and GitHub Actions (CI/CD and deployment). However, there is no mention of LaunchDarkly or Sentry anywhere in the provided facts, entities, or episodes. Because two key elements from the golden answer are missing, the context is incomplete for fully answering the question.",
+ "completeness_missing_elements": [
+ "LaunchDarkly (feature flags)",
+ "Sentry (error monitoring)"
+ ],
+ "completeness_present_elements": [
+ "Docker (docker-compose.yml for local development)",
+ "AWS ECS (deployment targets/rolling out to ECS)",
+ "GitHub Actions (CI pipeline and deployment)"
+ ],
+ "completeness_duration_ms": 5852.388620376587,
+ "answer": "Your stack: GitHub Actions CI/CD (reports pipeline status) deploying to AWS ECS; local development via docker-compose v3.8 with PostgreSQL 15 (host 5433 \u2192 container 5432, DB \"taskflow_dev\" for user \"taskflow\"); Priya Patel reviews all infra/DevOps changes; logging: full stack trace at ERROR and a summary at WARNING.",
+ "golden_answer": "Your infrastructure: Docker for containerization, AWS ECS for deployment, GitHub Actions for CI/CD, LaunchDarkly for feature flags, and Sentry for error monitoring.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions Docker (docker-compose), GitHub Actions, and AWS ECS, but it omits LaunchDarkly (feature flags) and Sentry (error monitoring). Because it does not contain all items from the golden answer, the response is not semantically equivalent.",
+ "response_duration_ms": 5852.389097213745,
+ "grading_duration_ms": 3391.5939331054688,
+ "total_duration_ms": 9792.893648147583,
+ "response_input_tokens": 593,
+ "response_output_tokens": 341,
+ "completeness_input_tokens": 1143,
+ "completeness_output_tokens": 238,
+ "grading_input_tokens": 592,
+ "grading_output_tokens": 137,
+ "total_input_tokens": 2328,
+ "total_output_tokens": 716
+ },
+ {
+ "question": "What's the current state of the project and known issues?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe integration test started passing after the bug was fixed (Date range: 2024-03-16T11:02:30Z - present)\n\nMarcus Chen intends to add error boundaries at the route level in React for the frontend portion. (Date range: 2024-03-19T10:33:00Z - present)\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\nThe CI pipeline resulted in a ready Build artifact (Date range: 2024-03-19T14:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\nName: bug\nLabels: Entity\nSummary: Marcus Chen identified a bug where a PATCH request returned 500 instead of 200, located in task_service.py (priority validation). He requested a fix and linting review with ruff; the issue is resolved.\n\nName: alembic\nLabels: Entity\nSummary: Alembic (version >=1.11) is a dependency for Marcus Chen's taskflow-api Python project configuration defined in pyproject.toml.\n\nName: task service\nLabels: Entity\nSummary: Marcus Chen confirmed a fix for the task service was committed with the message \"fix: resolve priority update validation error in task service\" after achieving 94% test coverage.\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.28694Z) {\"descrip",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3137,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 568.5327053070068,
+ "completeness_grade": "INSUFFICIENT",
+ "completeness_reasoning": "The CONTEXT does not contain the key items from the GOLDEN ANSWER. It has several engineering facts (CI status, a task service bug fix, dependencies like Zustand and Alembic), but it lacks the specific project-state details required: no mention of an investor demo day date, no note that the auth system needs refactoring or uses a legacy JWT library, no statement that task list queries are slow with >1000 tasks, no mention of a migration to a hybrid REST/GraphQL approach, and no indication that the current sprint focuses on collaboration features. Therefore the context is insufficient to fully answer the question as the golden answer specifies.",
+ "completeness_missing_elements": [
+ "Investor demo day on the 15th of next month",
+ "Auth system needs refactoring (legacy JWT library)",
+ "Task list queries are slow with over 1000 tasks",
+ "Recently migrated to a hybrid REST/GraphQL approach",
+ "Current sprint focuses on collaboration features"
+ ],
+ "completeness_present_elements": [
+ "CI pipeline status reported via GitHub Actions",
+ "CI pipeline produced a ready build artifact",
+ "Integration test started passing after bug fix",
+ "Task service bug fix committed resolving priority update validation error",
+ "Zustand dependency in taskflow-frontend",
+ "Alembic listed as dependency in taskflow-api",
+ "Marcus Chen plans to add React error boundaries at route level"
+ ],
+ "completeness_duration_ms": 6989.973545074463,
+ "answer": "The project is in a healthy CI state: GitHub Actions produced a ready build artifact and the lint check and integration tests are passing after the PATCH priority validation bug in task_service.py was fixed and committed. Known/remaining items: Marcus intends to add route-level React error boundaries, and the codebase uses dependencies like Zustand ^4.3.0 and alembic (>=1.11) with the PostgreSQL DB named taskflow_dev.",
+ "golden_answer": "Current project state: investor demo day is on the 15th of next month, the auth system needs refactoring (using legacy JWT library), task list queries are slow with over 1000 tasks, you recently migrated to a hybrid REST/GraphQL approach, and the current sprint focuses on collaboration features.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response does not include any of the essential information from the golden answer. It omits the investor demo day date (15th of next month), the need to refactor the auth system using a legacy JWT library, the slow task list queries with over 1000 tasks, the migration to a hybrid REST/GraphQL approach, and that the current sprint focuses on collaboration features. Instead it mentions CI/build status, a patched validation bug, planned React error boundaries, and dependency details, none of which satisfy the required items.",
+ "response_duration_ms": 6989.974021911621,
+ "grading_duration_ms": 3667.567729949951,
+ "total_duration_ms": 11226.075649261475,
+ "response_input_tokens": 592,
+ "response_output_tokens": 352,
+ "completeness_input_tokens": 1170,
+ "completeness_output_tokens": 476,
+ "grading_input_tokens": 634,
+ "grading_output_tokens": 253,
+ "total_input_tokens": 2396,
+ "total_output_tokens": 1081
+ },
+ {
+ "question": "What are all the tools and configs in my development environment?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\n.env.local contains all the local development environment variables. (Date range: 2024-03-20T09:03:00Z - present)\n\n.env.local stores all our local dev config. (Date range: 2024-03-20T09:03:00Z - present)\n\nThe postgres service uses 'local_dev_password' as the password environment variable. (Date range: 2025-12-04T02:42:48.297Z - present)\n\nThe docker-compose.yml configuration is for Marcus Chen's local development database setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\nzsh is used together with oh-my-zsh. (Date range: 2024-03-20T09:01:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: MacBook\nLabels: Entity\nSummary: Marcus Chen is setting up a new MacBook for development, needing VS Code settings backup (vim.enable: true) and iTerm2/zsh configs verified, and plans to set up uv for Python management.\n\nName: oh-my-zsh\nLabels: Entity\nSummary: Marcus Chen uses oh-my-zsh with iTerm2 and zsh, confirming his shell config should be set up during his new MacBook development environment configuration.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\nName: .zshrc\nLabels: Document\nSummary: Marcus Chen's .zshrc file, which includes oh-my-zsh configuration, was found and is ready for setup on his new MacBook development environment.\n\n\n\n# These are the m",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3577,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 536.027193069458,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes most of the items listed in the golden answer: .env.local is present as the local env file; zsh with oh-my-zsh and iTerm2 are referenced; uv (Python) and pnpm (Node) are mentioned; VS Code vim keybinding (vim.enable: true) is noted. However, there is no mention of pre-commit hooks for linting/formatting in the provided context, so that element is missing. Therefore the context is partial \u2014 sufficient to list most tools/configs but missing the pre-commit hooks detail required for a complete match to the golden answer.",
+ "completeness_missing_elements": [
+ "pre-commit hooks for linting and formatting"
+ ],
+ "completeness_present_elements": [
+ ".env.local for local environment variables",
+ "zsh with oh-my-zsh (used with iTerm2)",
+ "iTerm2 (implied alongside zsh/oh-my-zsh)",
+ "uv for Python",
+ "pnpm for Node",
+ "VS Code with vim keybinding (vim.enable: true)"
+ ],
+ "completeness_duration_ms": 7432.774066925049,
+ "answer": "Your dev environment includes: .env.local (gitignored) for local config, docker-compose.yml (v3.8) running PostgreSQL 15 exposing 5433:5432 with database taskflow_dev / user taskflow and password local_dev_password, zsh with oh-my-zsh and .zshrc, iTerm2, VS Code settings backup (vim.enable: true), and tools uv (Python manager) and pnpm.",
+ "golden_answer": "Your dev environment: VS Code with Vim keybindings, iTerm2 with zsh and oh-my-zsh, uv for Python, pnpm for Node, pre-commit hooks for linting and formatting, and .env.local for local environment variables.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes most items (VS Code with Vim enabled, iTerm2, zsh with oh-my-zsh, .env.local, uv, and pnpm) but omits the pre-commit hooks for linting and formatting specified in the golden answer. Because that essential item is missing, the response is not semantically equivalent.",
+ "response_duration_ms": 7432.774305343628,
+ "grading_duration_ms": 4426.665306091309,
+ "total_duration_ms": 12395.468473434448,
+ "response_input_tokens": 593,
+ "response_output_tokens": 416,
+ "completeness_input_tokens": 1160,
+ "completeness_output_tokens": 353,
+ "grading_input_tokens": 624,
+ "grading_output_tokens": 215,
+ "total_input_tokens": 2377,
+ "total_output_tokens": 984
+ }
+ ]
+ }
+}
\ No newline at end of file
diff --git a/zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010836.json b/zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010836.json
new file mode 100644
index 0000000..c6075f3
--- /dev/null
+++ b/zep-eval-harness/runs/1_20251202T161350/evaluation_results_20251206T010836.json
@@ -0,0 +1,2291 @@
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+ "question": "What port does my local PostgreSQL database run on?",
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+ "question": "What package manager do I use for Python?",
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+ "question": "What framework do I use for the backend?",
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+ "question": "What do I use for state management in React?",
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+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe task list component should use React Query for server state management. (Date range: 2024-03-22T10:00:00Z - present)\n\nZustand should be kept only for client-side UI state. (Date range: 2024-03-22T10:00:00Z - present)\n\nReact Query was recently switched to TanStack Query. (Date range: 2024-03-22T10:00:00Z - present)\n\nThe imports now include React Query. (Date range: 2024-03-17T14:32:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: client-side UI state\nLabels: Topic\nSummary: Zustand should only be used for managing client-side UI state in the task list component.\n\nName: task list component\nLabels: Entity\nSummary: The task list component was refactored to use React Query (TanStack Query) for fetching/caching tasks, keeping Zustand for filter/sort UI state, as requested by Marcus Chen.\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\nName: TanStack Query\nLabels: Topic\nSummary: Marcus Chen's TaskFlow frontend uses TanStack Query (version ^4.29.0) as a dependency. The TaskList component was refactored to use it for server state, while filter/sort UI state uses Zustand.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.234926Z) Refactored the TaskList component to use React Query (TanStack Query) for fetching and caching tasks. Moved the filter/sort UI state to Zustand store. Clean separation now.\n(2025-12-04T02:42:45.234926Z) The task list component needs to use React Query for server state management. We recently switched to TanStack Query. Keep Zustand just for client-sid",
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+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Zustand is used for client-side UI state",
+ "Zustand is a dependency in the project (version ^4.3.0)",
+ "TaskList uses Zustand for filter/sort UI state",
+ "TanStack Query/React Query is used for server state, separating concerns"
+ ],
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+ "answer_grade": true,
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+ },
+ {
+ "question": "What linter do I use for Python?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\npython.linting.ruffEnabled is configured within the python settings in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\nruff is specified as the python.formatting.provider within the python settings in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe 'lint' script executes eslint. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: python.formatting.provider\nLabels: Topic\nSummary: Marcus Chen's VS Code settings specify 'ruff' as the Python formatting provider. His Python linting also uses Ruff.\n\nName: Python\nLabels: Topic\nSummary: Marcus Chen's VS Code settings enable Vim mode, format on save, and use Ruff for Python formatting/linting. Python indentation is set to 4 spaces in settings.json.\n\nName: Python code\nLabels: Topic\nSummary: Python code in src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization and breakdown. Type hints are now required in all Python code.\n\nName: ruff\nLabels: Entity\nSummary: Marcus Chen's taskflow-api project configuration using pyproject.toml sets ruff to use line-length 88 and select/fix E, F, and I codes.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.946164Z) Good. I do my code reviews first thing in the morning so he can expect feedback then. I usually review PRs between 10am when I start and standup at 10:30am.\n(2025-12-04T02:42:45.857377Z) Exactly. Never use print() in production Python code - always use the logger. Now I want to put this feature behind a feature flag using LaunchDarkly before th",
+ "context_truncated": true,
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+ "completeness_reasoning": "The context explicitly states that Ruff is configured and enabled for Python linting (python.linting.ruffEnabled present), that Ruff is specified as the Python formatting provider in settings, and that the project configuration (pyproject.toml) sets Ruff rules. These facts directly support the golden answer that Ruff is used for Python linting. No additional information is required to answer the question.",
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+ "ruff specified as python.formatting.provider in VS Code settings",
+ "Entities noting Ruff is used for Python formatting/linting",
+ "pyproject.toml config for ruff (line-length and selected codes)"
+ ],
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+ "answer": "You use ruff as the Python linter.",
+ "golden_answer": "You use ruff for Python linting.",
+ "answer_grade": true,
+ "answer_reasoning": "The response explicitly names 'ruff' and states it is the Python linter, which matches the golden answer's essential information.",
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+ "total_input_tokens": 2240,
+ "total_output_tokens": 413
+ },
+ {
+ "question": "What's the name of the junior developer I mentor?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen is mentoring Tyler, a junior developer. (Date range: 2024-03-18T15:00:00Z - present)\n\nMarcus Chen performs code reviews first thing in the morning. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nTyler is joining Marcus Chen for pair programming on the frontend PR. (Date range: 2024-03-18T15:00:00Z - present)\n\nMarcus Chen uses VS Code for development. (Date range: 2024-03-20T09:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Assistant\nLabels: Assistant\nAttributes:\n assistant_name: None\nSummary: Assistant fixed a bug in task_service.py where priority validation used the wrong enum, resolving a failing integration test, after Marcus Chen requested using factory_boy for tests.\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\nName: dev\nLabels: Entity\nSummary: Marcus Chen uses the script \"dev\" with value \"vite\" in the package.json for the 'taskflow-frontend' project, managed by pnpm@8.6.0.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-12-04T02:42:47.270351Z) Once it's approved and CI passes, do a squash merge. I hate merge commits. Then delete the branch after.\n(2025-12-04T02:42:46.655888Z) Tyler, the ju",
+ "context_truncated": true,
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+ "context_original_chars": 2479,
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+ "completeness_reasoning": "The context explicitly states that Marcus Chen is mentoring Tyler, described as a junior developer. This directly matches the golden answer that the junior developer you mentor is named Tyler. Relevant supporting episodes also reference Tyler. No additional information is required.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Marcus Chen is mentoring Tyler, a junior developer",
+ "Tyler is joining Marcus Chen for pair programming",
+ "Episode references to Tyler (e.g., comments visible to Tyler)"
+ ],
+ "completeness_duration_ms": 3819.211959838867,
+ "answer": "You're mentoring Tyler.",
+ "golden_answer": "You mentor a junior developer named Tyler.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes the name 'Tyler' and the mentoring action but omits the specific detail that Tyler is a 'junior developer.' The golden answer explicitly states you mentor a junior developer named Tyler, so leaving out the role means not all essential information is present.",
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+ "total_output_tokens": 531
+ },
+ {
+ "question": "What days am I allowed to deploy?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays. (Date range: 2024-03-19T14:01:00Z - 2024-03-19T14:01:30Z)\n\nMarcus Chen stated that they can deploy if the CI pipeline passes. (Date range: 2024-03-19T14:00:00Z - present)\n\nThe deployment to AWS ECS is happening today because it is Tuesday. (Date range: 2024-03-19T14:01:30Z - present)\n\nMarcus Chen asked that Priya Patel be notified about the deployment trigger. (Date range: 2024-03-19T14:02:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: GitHub Actions\nLabels: Entity\nSummary: Marcus Chen confirmed the CI pipeline on GitHub Actions passed (lint, type-check, 92% coverage). GitHub Actions is used to deploy to AWS ECS on Tuesdays and Thursdays.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: code reviews\nLabels: Event\nSummary: Marcus Chen performs code reviews first thing in the morning, typically between 10:00 AM and the 10:30 AM standup.\n\nName: work\nLabels: Topic\nSummary: The entity 'work' is mentioned as one of the categories used by the AI task categorization feature, which utilizes GPT-4 via LangChain.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 10:30am standup because I was debugging. It's Wednesday afternoon which is my no-meeting focus time, so I can catch up now. What's the status of TF-247?\n(2025-12-04T02:42:47.524213Z) Great. We deploy to AWS ECS via GitHub Actions. Make sure the Docker image builds correctly first. We only deploy on Tuesdays and Thursdays - neve",
+ "context_truncated": true,
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+ "context_original_chars": 2391,
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+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the permitted deployment days multiple times: the Facts note Marcus Chen permits deployment to AWS ECS on Tuesdays and Thursdays (and never on Fridays), the Entities section notes GitHub Actions is used to deploy on Tuesdays and Thursdays, and an Episode line repeats \u201cWe only deploy on Tuesdays and Thursdays.\u201d These provide all information needed to answer that deployments are allowed only on Tuesdays and Thursdays.",
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+ "Deployments permitted on Tuesdays and Thursdays",
+ "Explicit statement that deployments are only on Tuesdays and Thursdays",
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+ "Multiple corroborating mentions (Facts, Entities, Episode)"
+ ],
+ "completeness_duration_ms": 4845.055818557739,
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+ "golden_answer": "You deploy only on Tuesdays and Thursdays.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response conveys the same essential information as the golden answer: deployment is permitted only on Tuesdays and Thursdays. Wording differs but no critical details are omitted or changed.",
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+ },
+ {
+ "question": "What time is my daily standup?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe standup occurs after Marcus Chen finishes reviewing PRs around 10:30 AM. (Date range: 2024-03-23T15:03:00Z - present)\n\nMarcus Chen usually reviews PRs between 10:00 AM and 10:30 AM. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nThe standup event occurred before Marcus Chen was free to catch up. (Date range: 2024-03-20T10:30:00Z - 2024-03-23T15:03:00Z)\n\nMarcus Chen performs code reviews first thing in the morning. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: standup\nLabels: Event\nSummary: Marcus Chen reviews PRs between 10:00 AM and his 10:30 AM standup; the original summary stated he missed Wednesday's 10:30 AM standup.\n\nName: code reviews\nLabels: Event\nSummary: Marcus Chen performs code reviews first thing in the morning, typically between 10:00 AM and the 10:30 AM standup.\n\nName: created_at\nLabels: Object\nSummary: The 'created_at' timestamp attribute must always be included in the new shared_tasks database model and must be stored in UTC.\n\nName: personal\nLabels: Topic\nSummary: The topic 'personal' is one of the AI task categories suggested by the GPT-4 API chain orchestrated via LangChain in src/services/ai/task_categorizer.py.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 10:30am standup because I was debugging. It's Wednesday afternoon which is my no-meeting focus time, so I can catch up now. What's the status of TF-247?\n(2025-12-04T02:42:45.857377Z) Perfect. The demo day is next month on the 15th - we have time to test. Add error boundaries at the route level in React for the frontend portion too.\n(2025-12-04T02:42:46.946164Z) Go",
+ "context_truncated": true,
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+ "context_original_chars": 2336,
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+ "Standup time: 10:30 AM",
+ "Facts linking standup to Marcus Chen's PR reviews around 10:30 AM",
+ "Entity summaries referencing the 10:30 AM standup",
+ "Episode mentioning the 10:30am standup"
+ ],
+ "completeness_duration_ms": 4461.892127990723,
+ "answer": "Your daily standup is at 10:30 AM.",
+ "golden_answer": "Your daily standup is at 10:30am.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response conveys the exact same essential information \u2014 the daily standup time is 10:30 AM. Differences are only in capitalization/spacing, not substance.",
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+ {
+ "question": "What's my company name?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen configures 'TF' as the ticket prefix for branch names. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nThe Python file name task_service.py uses snake_case. (Date range: 2024-03-23T15:00:00Z - present)\n\ncamelCase for function names is required in TypeScript. (Date range: 2024-03-17T14:31:00Z - present)\n\nThe Python code style conventions specify using snake_case for Python file names and function names. (Date range: 2024-03-23T15:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\nName: work\nLabels: Topic\nSummary: The entity 'work' is mentioned as one of the categories used by the AI task categorization feature, which utilizes GPT-4 via LangChain.\n\nName: camelCase for function names\nLabels: Preference\nSummary: Marcus Chen, user marcus_chen_001, specified a preference for using camelCase for function names in TypeScript, like handleAcceptShare.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 10:30am standup because I was debugging. It's Wednesday afternoon which is my no-meeting focus time, so I can catch up now. What's the status of TF-247?\n(2025-12-04T02:42:46.388065Z) Good. My working hours are 10am to 6pm PT so I've got a few hours left. Let's work on improving the task list query that David Liu flag",
+ "context_truncated": true,
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+ "completeness_reasoning": "The context contains multiple references to 'taskflow' (e.g., taskflow-api, taskflow_dev database name, TF ticket prefix), which suggests the organization or product name includes 'TaskFlow'. However the exact company name 'TaskFlow AI' stated in the GOLDEN ANSWER does not appear anywhere in the provided facts, entities, or episodes. Therefore some relevant signals are present but the critical, explicit company name required by the golden answer is missing.",
+ "completeness_missing_elements": [
+ "Explicit company name 'TaskFlow AI'"
+ ],
+ "completeness_present_elements": [
+ "References to 'taskflow' (taskflow-api)",
+ "Database name 'taskflow_dev'",
+ "TF ticket prefix for branches",
+ "Mentions of 'TF' as a project prefix"
+ ],
+ "completeness_duration_ms": 4205.315589904785,
+ "answer": "I don't know \u2014 the provided context doesn't include your company name.",
+ "golden_answer": "Your company is TaskFlow AI.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response abstains and does not provide the company's name. The golden answer specifies a specific name (TaskFlow AI), which the response fails to include; therefore it does not contain the essential information.",
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+ },
+ {
+ "question": "What's the max line length for my Python code?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nruff enforces the 88 character max line length for Python. (Date range: 2024-03-23T15:01:00Z - present)\n\nThe Black formatter default is the 88 character max line length for Python. (Date range: 2024-03-23T15:01:00Z - present)\n\nThe Assistant added the 88-character line limit to the reference doc. (Date range: 2024-03-23T15:01:30Z - present)\n\nThe Python code style conventions require 4-space indentation. (Date range: 2024-03-23T15:00:00Z - 2025-12-04T02:42:48.308Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: 88 character max line length for Python\nLabels: Topic\nSummary: The 88 character max line length for Python code is the default set by the Black formatter and is enforced by ruff.\n\nName: Black formatter\nLabels: Entity\nSummary: The Black formatter enforces an 88 character max line length for Python code, which is also enforced by ruff.\n\nName: ruff\nLabels: Entity\nSummary: Marcus Chen's taskflow-api project configuration using pyproject.toml sets ruff to use line-length 88 and select/fix E, F, and I codes.\n\nName: pyproject.toml\nLabels: Document\nSummary: The pyproject.toml file configures Marcus Chen's TaskFlow backend project, 'taskflow-api', requiring Python >=3.11. It specifies Ruff settings (line-length 88) and Pytest options, with dependencies including FastAPI and SQLAlchemy.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code editor settings and preferences for Marcus Chen's development environment\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".vscode/settings.json\",\"editor\":{\"vim.enable\":true,\"editor.tabSize\":2,\"editor.formatOnSave\":true},\"python\":{\"python.formatting.provider\":\"ruf",
+ "context_truncated": true,
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+ "completeness_reasoning": "The context explicitly states the 88-character maximum line length for Python in multiple facts and entities (ruff enforces 88, Black default is 88, and the 88-character limit is in the reference doc and pyproject.toml). These statements provide all information required to answer the question that the max line length is 88 characters.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Statement that ruff enforces an 88 character max line length for Python",
+ "Statement that Black formatter default is 88 character max line length for Python",
+ "Assistant added the 88-character line limit to the reference doc",
+ "pyproject.toml configures ruff to use line-length 88",
+ "Entity summarizing 88 character max line length for Python"
+ ],
+ "completeness_duration_ms": 4660.3899002075195,
+ "answer": "The max line length for your Python code is 88 characters.",
+ "golden_answer": "Your max line length for Python is 88 characters.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response conveys the exact same key information \u2014 that the maximum Python line length is 88 characters \u2014 with equivalent wording. No essential details are missing or altered.",
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+ {
+ "question": "What merge strategy do I use?",
+ "category": "easy",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen configures the merge strategy in .gitconfig to use 'squash'. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen requests that a squash merge should be performed once approval is given and CI passes. (Date range: 2024-03-18T09:18:00Z - present)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nMarcus Chen requests that the branch be deleted after the merge is complete. (Date range: 2024-03-18T09:18:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: squash merge\nLabels: Topic\nSummary: Marcus Chen configured .gitconfig to use 'squash' as the merge strategy for his development process.\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- with TF prefix, and conventional commit convention. Pre-commit hooks include lint, type-check, and test.\n\nName: merge commits\nLabels: Topic\nSummary: Marcus Chen instructed that the branch should be deleted after merging and requested a squash merge specifically to avoid merge commits.\n\nName: branch feat/TF-247-task-sharing\nLabels: Entity\nSummary: Branch feat/TF-247-task-sharing requires Sarah's approval. Marcus Chen requested a squash merge after CI passes and mandates branch deletion post-merge.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration and workflow conventions for Marcus Chen's development process\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".gitconfig\",\"merge\":{\"strategy\":\"squash\"},\"branch\":{\"naming_convention\":\"/\nMarcus Chen sets the branch naming convention to '/-' in .gitconfig. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen configures 'TF' as the ticket prefix for branch names. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen includes 'docs' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen includes 'chore' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- with TF prefix, and conventional commit convention. Pre-commit hooks include lint, type-check, and test.\n\nName: feat\nLabels: Topic\nSummary: The branch naming convention for Marcus Chen's development process uses 'feat' as a type prefix, often prepended with 'TF' for tickets. 'feat' is also a listed commit type.\n\nName: TF\nLabels: Topic\nSummary: TF is a ticket prefix used in Marcus Chen's Git branch naming convention, which follows the format /TF-.\n\nName: chore\nLabels: Topic\nSummary: The term 'chore' is defined as a commit and branch naming convention type for Marcus Chen's development process, according to .gitconfig.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration and workflow conventions for Marcus Chen's development process\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".gitconfig\",\"merge\":{\"strategy\":\"squash\"},\"branch\":{\"naming_convention\":\"/-\",\"ticket_pref",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2797,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 414.395809173584,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the branch naming convention '/-' and that 'TF' is configured as the ticket prefix. Entities and facts also reference 'feat' as a type (matching the example 'feat/TF-123-add-feature'). Therefore all key elements from the golden answer are present and no additional information is required to reproduce the convention.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "branch naming convention '/-'",
+ "TF configured as the ticket prefix for branch names",
+ "'feat' as a valid branch/commit type (matching example format)",
+ ".gitconfig entry documenting the convention"
+ ],
+ "completeness_duration_ms": 7329.918146133423,
+ "answer": "Branches use the pattern /TF- (i.e., /- with \"TF\" as the ticket prefix); valid types include feat, docs, and chore.",
+ "golden_answer": "Your branch naming convention is /-, using the TF prefix (e.g., feat/TF-123-add-feature).",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes the same branch pattern (/-) and specifies the TF ticket prefix (examples matched). It also adds valid types (feat, docs, chore), which is additional but not contradictory. Therefore it contains all essential information.",
+ "response_duration_ms": 7329.918622970581,
+ "grading_duration_ms": 3892.133951187134,
+ "total_duration_ms": 11636.45052909851,
+ "response_input_tokens": 593,
+ "response_output_tokens": 433,
+ "completeness_input_tokens": 1138,
+ "completeness_output_tokens": 213,
+ "grading_input_tokens": 550,
+ "grading_output_tokens": 198,
+ "total_input_tokens": 2281,
+ "total_output_tokens": 844
+ },
+ {
+ "question": "What are the required sections in my PR descriptions?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nAssistant included the 'Changes' section in the PR description. (Date range: 2024-03-18T09:16:30Z - present)\n\nThe PR title must follow a specific format that includes the ticket number. (Date range: 2024-03-18T09:15:00Z - present)\n\nThe PR should be based on the branch feat/TF-247-task-sharing. (Date range: 2024-03-18T09:15:00Z - present)\n\nSarah Kim is designated as the reviewer for the PR. (Date range: 2024-03-18T09:15:00Z - 2024-03-18T15:03:00Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Testing\nLabels: Topic\nSummary: The PR for feature [TF-247] includes a required 'Testing' section in its description. CI is currently running tests for this PR.\n\nName: Screenshots\nLabels: Entity\nSummary: Screenshots were included in the description of the PR titled \"[TF-247] Add task sharing feature\", along with Changes and Testing sections.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: PRs\nLabels: Entity\nSummary: Marcus Chen committed a fix using the 'fix:' prefix: \"fix: resolve priority update validation error in task service\". PR [TF-247] for feature branch feat/TF-247-task-sharing is pending assistant rebase on main before Sarah Kim reviews.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-12-04T02:42:47.270351Z) First let me rebase on main to make sure we're up to date before creating the PR.\n(2025-12-04T02:42:47.270351Z) Rebased on main successfully. Created PR wi",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2390,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 450.03437995910645,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly mentions all three required PR description sections from the golden answer: a 'Changes' section (fact states assistant included 'Changes'), a 'Testing' section (entity 'Testing' notes a required 'Testing' section), and 'Screenshots' (entity 'Screenshots' states screenshots were included along with Changes and Testing). Therefore the context contains all information needed to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Changes",
+ "Testing",
+ "Screenshots"
+ ],
+ "completeness_duration_ms": 5562.2992515563965,
+ "answer": "The Testing section is required; Changes and Screenshots are commonly included but only Testing is explicitly marked as required in the context.",
+ "golden_answer": "Your PR descriptions require three sections: Changes, Testing, and Screenshots.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response contradicts the golden answer. The golden answer states three required sections: Changes, Testing, and Screenshots. The AI response says only Testing is explicitly required and treats Changes and Screenshots as optional. It omits/changes essential requirement that Changes and Screenshots are required.",
+ "response_duration_ms": 5562.299728393555,
+ "grading_duration_ms": 2827.6848793029785,
+ "total_duration_ms": 8840.021133422852,
+ "response_input_tokens": 616,
+ "response_output_tokens": 351,
+ "completeness_input_tokens": 1147,
+ "completeness_output_tokens": 180,
+ "grading_input_tokens": 521,
+ "grading_output_tokens": 140,
+ "total_input_tokens": 2284,
+ "total_output_tokens": 671
+ },
+ {
+ "question": "What CI checks must pass before I can merge?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe CI pipeline requires that the lint check passes. (Date range: 2024-03-19T14:00:00Z - present)\n\nThe CI pipeline requires that the tests pass. (Date range: 2024-03-19T14:00:00Z - 2024-03-19T14:00:30Z)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe type-check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - 2025-12-04T02:42:48.304Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: CI\nLabels: Topic\nSummary: CI is running lint, type-check, and tests for PR [TF-247]. Marcus Chen requires CI passing and one approval before the PR can be squash merged and the branch deleted.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\nName: approval\nLabels: Entity\nSummary: Marcus Chen will ask Sarah to review the PR for '[TF-247] Add task sharing feature'. The change requires at least one approval and passing CI before a squash merge and branch deletion.\n\nName: type-check\nLabels: Topic\nSummary: Marcus Chen configured Git hooks in .gitconfig to run 'type-check' before committing. Existing summary notes type-check passed CI deployment check on Tuesday with 92% coverage.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Reviewed the code. Found 2 console.log statements in task-list.tsx and 1 usage of 'any' type in the API response handler. These need to be fixed before we can merge.\n(2025-12-04T02:42:47.270351Z) Perfect. I'll ping Sarah for the review. Once she approves and CI",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2339,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 527.2009372711182,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly lists the required CI checks: lint (fact present), type-check (fact and entity summaries present), and tests (fact and entity summaries present). Entity summaries also state the pipeline passed all checks (lint, type-check, tests). Although some facts have past date ranges, the instructions say historical facts remain valid; therefore all elements from the golden answer are present.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "lint",
+ "type-check",
+ "tests"
+ ],
+ "completeness_duration_ms": 9568.201065063477,
+ "answer": "The CI lint, type-check, and tests must all pass before you can merge.",
+ "golden_answer": "Your CI checks that must pass are: lint, type-check, and tests.",
+ "answer_grade": true,
+ "answer_reasoning": "The response lists the same three required CI checks \u2014 lint, type-check, and tests \u2014 and states they must pass before merging, so it includes all essential information from the golden answer.",
+ "response_duration_ms": 9568.201303482056,
+ "grading_duration_ms": 2510.1969242095947,
+ "total_duration_ms": 12605.601072311401,
+ "response_input_tokens": 619,
+ "response_output_tokens": 599,
+ "completeness_input_tokens": 1151,
+ "completeness_output_tokens": 176,
+ "grading_input_tokens": 514,
+ "grading_output_tokens": 119,
+ "total_input_tokens": 2284,
+ "total_output_tokens": 894
+ },
+ {
+ "question": "What fields are in my API error response format?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen requested that error responses use the standard format which includes error_code, message, and details fields. (Date range: 2024-03-15T10:49:00Z - present)\n\nThe share endpoint includes the standard response wrapper format with data and meta fields. (Date range: 2024-03-15T10:48:30Z - present)\n\nThe response wrapper format includes the meta object. (Date range: 2024-03-22T10:02:00Z - present)\n\nThe task list endpoint response includes pagination info and other metadata within the \"meta\" field. (Date range: 2024-03-22T10:02:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: standard format (error responses)\nLabels: Entity\nSummary: Marcus Chen specified that error responses should use the standard format with error_code, message, and details fields, utilizing the custom TaskFlowError exception class for domain errors.\n\nName: items\nLabels: Entity\nSummary: The response wrapper for the API should use the standard format: {\"data\": ..., \"meta\": {...}}, where data contains the items and meta contains pagination info.\n\nName: response wrapper format\nLabels: Entity\nSummary: The standard response wrapper format, {\"data\": ..., \"meta\": {...}}, with pagination info in meta, was confirmed for the API endpoint, matching all other endpoints.\n\nName: Sentry error tracking\nLabels: Topic\nSummary: Marcus Chen requested Sentry error tracking for the task sharing endpoint, structured JSON logging with correlation IDs, and defining log levels (full stack trace at ERROR, summary at WARNING).\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.234926Z) Good. The response wrapper should have the standard format - data contains the items, meta con",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2800,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 550.6441593170166,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that Marcus Chen requested error responses use the standard format which includes error_code, message, and details fields. The entities section and facts reiterate the same. Therefore all elements from the golden answer are present and no additional information is required to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "error_code",
+ "message",
+ "details"
+ ],
+ "completeness_duration_ms": 2944.228410720825,
+ "answer": "Your API error responses include the fields: error_code, message, and details.",
+ "golden_answer": "Your API error responses include error_code, message, and details fields.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response lists the exact three fields from the golden answer: error_code, message, and details. All essential information is present with no omissions or changes.",
+ "response_duration_ms": 2944.2288875579834,
+ "grading_duration_ms": 2079.6146392822266,
+ "total_duration_ms": 5574.4898319244385,
+ "response_input_tokens": 545,
+ "response_output_tokens": 150,
+ "completeness_input_tokens": 1075,
+ "completeness_output_tokens": 92,
+ "grading_input_tokens": 511,
+ "grading_output_tokens": 50,
+ "total_input_tokens": 2131,
+ "total_output_tokens": 292
+ },
+ {
+ "question": "What's my testing setup for the frontend?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nVitest is the testing framework used by the Assistant for frontend unit tests. (Date range: 2024-03-17T14:34:00Z - present)\n\nMarcus Chen specified that Vitest should be used for writing the frontend unit tests. (Date range: 2024-03-17T14:34:00Z - present)\n\n'taskflow-frontend' has a 'test' script. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n'taskflow-frontend' has an 'test:e2e' script. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Vitest\nLabels: Entity\nSummary: Marcus Chen's TaskFlow frontend project uses Vitest (^0.32.0) for testing, configured via package.json. Marcus previously requested Vitest tests for a share data feature.\n\nName: test:e2e\nLabels: Entity\nSummary: The script \"test:e2e\" for Marcus Chen's \"taskflow-frontend\" package executes \"playwright test\" using pnpm@8.6.0.\n\nName: taskflow-frontend\nLabels: Entity\nSummary: Marcus Chen's 'taskflow-frontend' uses pnpm@8.6.0, React, Zustand, and Zod. Scripts include dev (vite), build, test (vitest), and lint (eslint). Dev dependencies include Vitest and Playwright.\n\nName: test\nLabels: Entity\nSummary: Marcus Chen's Git configuration includes squash merging and a branch convention using prefixes like TF for tickets. His package.json for taskflow-frontend specifies 'vitest' for 'test' scripts and '@playwright/test' as a devDependency.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"description\":\"Docker Compose configuration for Marcus Chen's local development database setup\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"docker-compose.yml\",\"version\":\"3.8\",\"services\":{\"postgres\":{\"image\":\"postgres:15\",\"ports\"",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3222,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 527.2171497344971,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context clearly states that Vitest is used for frontend unit tests and that Playwright is used for E2E tests (test:e2e runs \"playwright test\", package.json scripts and devDependencies include Vitest and Playwright). However, the context does not mention the test file naming convention (.test.tsx). Therefore it lacks one key element from the golden answer.",
+ "completeness_missing_elements": [
+ "Test file naming convention (e.g., .test.tsx)"
+ ],
+ "completeness_present_elements": [
+ "Vitest is used for frontend unit/unit tests",
+ "Playwright is used for E2E tests (test:e2e runs \"playwright test\")",
+ "package.json scripts include test and test:e2e",
+ "DevDependencies include Vitest and Playwright"
+ ],
+ "completeness_duration_ms": 5374.155759811401,
+ "answer": "Your frontend uses Vitest (configured in package.json, run via the \"test\" script) for unit tests and Playwright (@playwright/test) for e2e tests run via the \"test:e2e\" script (executes \"playwright test\" with pnpm@8.6.0).",
+ "golden_answer": "Your frontend testing uses Vitest for unit tests, Playwright for E2E tests, and files are named .test.tsx.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions Vitest for unit tests and Playwright for e2e tests (with script details), but it omits the file naming convention (.test.tsx) that the golden answer includes. Therefore it is missing essential information.",
+ "response_duration_ms": 5374.15623664856,
+ "grading_duration_ms": 3186.1331462860107,
+ "total_duration_ms": 9087.50867843628,
+ "response_input_tokens": 615,
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+ "completeness_output_tokens": 239,
+ "grading_input_tokens": 571,
+ "grading_output_tokens": 132,
+ "total_input_tokens": 2346,
+ "total_output_tokens": 696
+ },
+ {
+ "question": "What's my testing setup for the backend?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\nThe task sharing feature involves backend code. (Date range: 2024-03-18T09:15:00Z - present)\n\nThe docker-compose.yml configuration is for Marcus Chen's local development database setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: TaskFlow backend\nLabels: Topic\nSummary: The TaskFlow backend project configuration, sourced from pyproject.toml, specifies Python >=3.11, uses Ruff (line-length 88), pytest (cov-fail-under=80), and dependencies like fastapi, sqlalchemy, pydantic, and alembic.\n\nName: unit test\nLabels: Event\nSummary: Marcus Chen requested an integration test for an API endpoint instead of a unit test when addressing a bug related to task priority updates (TF-251).\n\nName: Testing\nLabels: Topic\nSummary: The PR for feature [TF-247] includes a required 'Testing' section in its description. CI is currently running tests for this PR.\n\nName: tests\nLabels: Topic\nSummary: Marcus Chen confirmed deployment today after CI pipeline passed, showing tests achieved 92% coverage.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"description\":\"Docker Compose configuration for Marcus Chen's local development database setup\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"docker-compose.yml\",\"version\":\"3.8\",\"services\":{\"postgres\":{\"image\":\"postgres:15\",\"ports\":[\"5433:5432\"],\"environment\":{\"POSTGRES_DB\":\"taskflow_dev\",\"P",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3008,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 488.56306076049805,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context confirms that the TaskFlow backend uses pytest (pyproject.toml mentions pytest and CI/test coverage details), so that element of the golden answer is present. However, there is no mention of factory_boy or any test file naming convention like test_.py in the provided context. Therefore the context is missing key details required to fully match the golden answer.",
+ "completeness_missing_elements": [
+ "factory_boy (test data factory library)",
+ "Test file naming convention: files named test_.py"
+ ],
+ "completeness_present_elements": [
+ "pytest referenced in pyproject.toml",
+ "General testing/CI status (tests running in CI, 92% coverage)",
+ "TaskFlow backend project context"
+ ],
+ "completeness_duration_ms": 6185.381650924683,
+ "answer": "Your backend testing uses pytest (coverage fail-under=80%) with CI running the test suite (current coverage 92%), includes integration tests that hit the real API endpoint against your local Postgres dev DB (docker-compose uses postgres:15 on port 5433), and the project uses Ruff (line-length 88); Python >=3.11 is required.",
+ "golden_answer": "Your backend testing uses Pytest, factory_boy for test data, and files are named test_.py.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions pytest but omits two essential details from the golden answer: it does not state that factory_boy is used for test data, nor that test files are named test_.py. Therefore it is not semantically equivalent.",
+ "response_duration_ms": 6185.38236618042,
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+ "grading_input_tokens": 575,
+ "grading_output_tokens": 132,
+ "total_input_tokens": 2281,
+ "total_output_tokens": 689
+ },
+ {
+ "question": "What are my database timestamp conventions?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe database model for shared_tasks must include an updated_at timestamp. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe created_at timestamp must be in UTC, as specified by Marcus Chen. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe updated_at timestamp must be in UTC, as specified by Marcus Chen. (Date range: 2024-03-15T10:46:00Z - present)\n\nGit configuration conventions are specified in the .gitconfig file. (Date range: 2025-12-04T02:42:48.304Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: database model\nLabels: Entity\nSummary: Marcus Chen requested creation of a new database model named 'shared_tasks', specifying plural snake_case table name, UUID v4 id, and UTC timestamps (created_at, updated_at).\n\nName: created_at\nLabels: Object\nSummary: The 'created_at' timestamp attribute must always be included in the new shared_tasks database model and must be stored in UTC.\n\nName: updated_at\nLabels: Object\nSummary: The attribute 'updated_at' is required for the new 'shared_tasks' database model, and it must store timestamps in UTC.\n\nName: conventional commits style\nLabels: Topic\nSummary: Marcus Chen instructed that a commit following the conventional commits style should use the 'fix:' prefix because it resolves a bug in task_service.py.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration and workflow conventions for Marcus Chen's development process\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".gitconfig\",\"merge\":{\"strategy\":\"squash\"},\"branch\":{\"naming_convention\":\"/-\",\"ticket_prefix\":\"TF\",\"types\":[\"feat\",\"fix\",\"refactor\",\"test\",\"docs\",\"ch",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2881,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 477.36573219299316,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that created_at and updated_at timestamps are required and must be stored in UTC. Facts and entity summaries confirm both fields and the UTC storage requirement (including for the shared_tasks model), which matches the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "created_at timestamp requirement",
+ "updated_at timestamp requirement",
+ "timestamps stored in UTC",
+ "database model/shared_tasks includes timestamps"
+ ],
+ "completeness_duration_ms": 3446.0983276367188,
+ "answer": "Timestamps must include created_at and updated_at on the shared_tasks model, and both created_at and updated_at must be stored in UTC.",
+ "golden_answer": "Your database tables always include created_at and updated_at timestamps, stored in UTC.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response restricts the rule to the shared_tasks model, whereas the golden answer states that database tables (i.e., all tables) always include created_at and updated_at timestamps stored in UTC. The AI omitted the requirement that this applies to all database tables, so it does not contain all essential information.",
+ "response_duration_ms": 3446.099281311035,
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+ "response_input_tokens": 573,
+ "response_output_tokens": 98,
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+ "completeness_output_tokens": 162,
+ "grading_input_tokens": 522,
+ "grading_output_tokens": 208,
+ "total_input_tokens": 2200,
+ "total_output_tokens": 468
+ },
+ {
+ "question": "How do I handle primary keys in the database?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe database model for shared_tasks must include an id column using UUID v4. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe indexes added in the migration relate to the foreign keys (Date range: 2024-03-15T10:47:30Z - present)\n\nMarcus Chen is initiating the creation of a new database model. (Date range: 2024-03-15T10:46:00Z - present)\n\nThe Alembic migration added indexes to all foreign keys (Date range: 2024-03-15T10:47:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: foreign keys\nLabels: Topic\nSummary: Foreign keys were added to the SharedTask model. The Alembic migration included indexes on foreign keys: task_id, shared_by_user_id, and shared_with_user_id.\n\nName: database model\nLabels: Entity\nSummary: Marcus Chen requested creation of a new database model named 'shared_tasks', specifying plural snake_case table name, UUID v4 id, and UTC timestamps (created_at, updated_at).\n\nName: SELECT *\nLabels: Topic\nSummary: Marcus Chen wants the 'SELECT *' query in task_repository.py fixed by specifying exact columns and adding a user_id index because it slows down task lists over 1000 tasks before the demo day.\n\nName: users tables\nLabels: Entity\nSummary: The 'users tables' was mentioned in relation to creating the SharedTask model; it will have a foreign key relationship with the new shared_tasks table.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:44.912876Z) Created the SharedTask model in src/models/shared_task.py with UUID primary key, created_at/updated_at timestamps (UTC), and the table name 'shared_tasks'. Added foreign keys to tasks and users tables with indexes as per your convention.\n(2025-12-04T02:42:44.912876Z) Gener",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2640,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 536.3295078277588,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that the shared_tasks model includes an id column using UUID v4 and that the model uses a UUID primary key. It also documents that indexes were added to all foreign keys (Alembic migration added indexes and the episode notes foreign keys with indexes). These map directly to the golden answer elements: use UUID v4 for primary keys, the column is named 'id', and always add indexes on foreign keys. No required elements from the golden answer are missing.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Use UUID v4 for primary keys (id column)",
+ "Primary key column named 'id' in the shared_tasks model",
+ "Indexes added on foreign keys (Alembic migration and model)"
+ ],
+ "completeness_duration_ms": 6153.0609130859375,
+ "answer": "Use a UUID v4 id column as the primary key \u2014 e.g., the SharedTask model defines an id (UUIDv4) as the table's PK.",
+ "golden_answer": "You use UUID v4 for primary keys, the column is named 'id', and you always add indexes on foreign keys.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions using a UUID v4 'id' column as the primary key (matching two parts of the golden answer) but omits the requirement to always add indexes on foreign keys. Therefore it does not contain all essential information.",
+ "response_duration_ms": 6153.061389923096,
+ "grading_duration_ms": 2997.8981018066406,
+ "total_duration_ms": 9687.289953231812,
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+ "response_output_tokens": 231,
+ "completeness_input_tokens": 1124,
+ "completeness_output_tokens": 293,
+ "grading_input_tokens": 539,
+ "grading_output_tokens": 130,
+ "total_input_tokens": 2246,
+ "total_output_tokens": 654
+ },
+ {
+ "question": "How do I organize imports in Python?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nImports should be organized with stdlib imports first. (Date range: 2024-03-17T14:32:00Z - present)\n\nLocal imports, relevant to files like src/components/task-share-card.tsx, should follow third-party imports, separated by a blank line. (Date range: 2024-03-17T14:32:00Z - 2024-03-17T14:32:30Z)\n\nThe Assistant reorganized the imports. (Date range: 2024-03-17T14:32:30Z - present)\n\nBlank lines were added between groups of imports, specifically separating local imports using @/components. (Date range: 2024-03-17T14:32:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: imports\nLabels: Topic\nSummary: Marcus Chen requested imports use the @ alias for absolute imports from src, organized by stdlib, third-party (React), and local imports separated by blank lines. The assistant updated imports accordingly.\n\nName: @components\nLabels: Topic\nSummary: Local imports should use the @ alias for absolute imports from src, specifically organized under the @/components path.\n\nName: Python package management\nLabels: Topic\nSummary: Marcus Chen needs to set up uv for Python package management as the team recently switched from using pip.\n\nName: Python code\nLabels: Topic\nSummary: Python code in src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization and breakdown. Type hints are now required in all Python code.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code editor settings and preferences for Marcus Chen's development environment\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".vscode/settings.json\",\"editor\":{\"vim.enable\":true,\"editor.tabSize\":2,\"editor.formatOnSave\":true",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3127,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 511.8062496185303,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the required import ordering: standard library imports first, third-party imports next, and local imports last, and it also mentions blank lines separating import groups (including local imports). These map directly to all elements of the golden answer, so the context contains all information needed to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Standard library imports first",
+ "Third-party imports after stdlib",
+ "Local imports after third-party imports",
+ "Blank lines between import groups"
+ ],
+ "completeness_duration_ms": 8947.20721244812,
+ "answer": "Put standard-library imports first, then third\u2011party imports, then local/project imports, with a blank line separating each group. Also remember that Python code in the project requires type hints.",
+ "golden_answer": "You organize imports in order: standard library first, then third-party packages, then local imports, with blank lines between groups.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes the required import ordering (standard library first, then third-party, then local/project imports) and states there should be a blank line separating each group. The extra sentence about type hints is additional but does not remove any essential information from the golden answer.",
+ "response_duration_ms": 8947.207689285278,
+ "grading_duration_ms": 3048.238754272461,
+ "total_duration_ms": 12507.254123687744,
+ "response_input_tokens": 570,
+ "response_output_tokens": 491,
+ "completeness_input_tokens": 1111,
+ "completeness_output_tokens": 180,
+ "grading_input_tokens": 541,
+ "grading_output_tokens": 136,
+ "total_input_tokens": 2222,
+ "total_output_tokens": 807
+ },
+ {
+ "question": "What's my local database development setup?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe docker-compose.yml configuration is for Marcus Chen's local development database setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n.env.local stores all our local dev config. (Date range: 2024-03-20T09:03:00Z - present)\n\nPostgreSQL runs on the local database. (Date range: 2024-03-20T09:02:00Z - 2024-03-20T09:02:30Z)\n\nThe postgres:15 image is configured within the docker-compose.yml file for local development setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local database\nLabels: Location\nSummary: The local database setup requires PostgreSQL running in Docker Compose on port 5433 to avoid conflicts with local installations.\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: postgres:15\nLabels: Object\nSummary: The 'postgres:15' Docker image is used by Marcus Chen for the local development database setup of his taskflow-api project, configured via docker-compose.yml.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"description\":\"Docker Compose configuration for Marcus Chen's local development database setup\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"docker-compose.yml\",\"version\":\"3.8\",\"services\":{\"postgres\":{\"image\":\"postgres:15\",\"ports\":[",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2819,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 503.9799213409424,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the local database uses PostgreSQL configured via docker-compose (docker-compose.yml) and that the service exposes port 5433 (port mapping 5433:5432). It also names the postgres:15 image and ties the configuration to the local development setup, which fully matches the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "PostgreSQL",
+ "Docker Compose (docker-compose.yml)",
+ "Port 5433 mapping (5433:5432)",
+ "postgres:15 image",
+ "Local development database setup (Marcus Chen)"
+ ],
+ "completeness_duration_ms": 5304.529666900635,
+ "answer": "Your local dev database runs PostgreSQL 15 in Docker Compose (version 3.8), exposing host port 5433\u2192container 5432, with database \"taskflow_dev\" for user \"taskflow\", and local secrets/config in a gitignored .env.local.",
+ "golden_answer": "You use PostgreSQL running in Docker Compose on port 5433.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response states PostgreSQL running in Docker Compose and explicitly notes host port 5433 is exposed (5433\u2192container 5432). It therefore includes all essential information from the golden answer; additional details do not conflict.",
+ "response_duration_ms": 5304.530382156372,
+ "grading_duration_ms": 3088.2859230041504,
+ "total_duration_ms": 8896.79765701294,
+ "response_input_tokens": 583,
+ "response_output_tokens": 190,
+ "completeness_input_tokens": 1113,
+ "completeness_output_tokens": 196,
+ "grading_input_tokens": 548,
+ "grading_output_tokens": 128,
+ "total_input_tokens": 2244,
+ "total_output_tokens": 514
+ },
+ {
+ "question": "What are my basic Python code style rules?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe Python code style conventions specify using snake_case for Python file names and function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Python code style conventions require 4-space indentation. (Date range: 2024-03-23T15:00:00Z - 2025-12-04T02:42:48.308Z)\n\nTyler asked about the Python code style conventions. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Python code style conventions mandate the use of snake_case for function names. (Date range: 2024-03-23T15:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: 4-space indentation\nLabels: Topic\nSummary: Marcus Chen confirmed Python code style conventions include 4-space indentation, snake_case for files/functions, and double quotes for strings, which an assistant documented for Tyler.\n\nName: pre-commit hooks\nLabels: Topic\nSummary: Pre-commit hooks catch violations of Python style conventions, including the 88-character line limit enforced by ruff and Black.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code editor settings and preferences for Marcus Chen's development environment\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".vscode/settings.json\",\"editor\":{\"vim.enable\":true,\"ed",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2957,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 364.0942573547363,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly contains all three elements from the golden answer: 4-space indentation is stated in Facts; double quotes for strings is mentioned in the 4-space indentation entity summary (Marcus Chen confirmed... double quotes); and an 88-character line limit is referenced in the pre-commit hooks entity (enforced by ruff and Black). Therefore the context is sufficient to fully answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "4-space indentation",
+ "double quotes for strings",
+ "88-character max line length"
+ ],
+ "completeness_duration_ms": 15421.071767807007,
+ "answer": "Use snake_case for file and function names, double quotes for strings, prefer the logger module over print (log full stack traces at ERROR and summaries at WARNING), catch specific exceptions only (log and re-raise if you catch them), and let pre-commit hooks (ruff/Black) enforce the 88-character line limit.",
+ "golden_answer": "Your Python code style uses 4-space indentation, double quotes, and 88-character max line length.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits one of the three essential rules from the golden answer: it does not mention 4-space indentation. It does include double quotes and the 88-character line limit, but missing the indentation requirement means it fails to contain all key information.",
+ "response_duration_ms": 15421.072006225586,
+ "grading_duration_ms": 3049.0150451660156,
+ "total_duration_ms": 18834.18321609497,
+ "response_input_tokens": 564,
+ "response_output_tokens": 904,
+ "completeness_input_tokens": 1101,
+ "completeness_output_tokens": 188,
+ "grading_input_tokens": 567,
+ "grading_output_tokens": 134,
+ "total_input_tokens": 2232,
+ "total_output_tokens": 1226
+ },
+ {
+ "question": "What are my TypeScript code style rules?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\ncamelCase for function names is required in TypeScript. (Date range: 2024-03-17T14:31:00Z - present)\n\nThe style rules prohibit using 'any' types in TypeScript. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\nThe style rules prohibit leaving console.log statements in the code. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\nThe typescript configuration section exists in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: style rules\nLabels: Topic\nSummary: Style rules review requested for a frontend PR involving Tyler, Marcus Chen's mentee. Rules include no console.log statements and no 'any' types in TypeScript.\n\nName: TypeScript\nLabels: Topic\nSummary: Marcus Chen configured TypeScript settings in VS Code to use 2 space tab size and the Prettier extension for default formatting.\n\nName: esbenp.prettier-vscode\nLabels: Entity\nSummary: The entity 'esbenp.prettier-vscode' is set as the default formatter for TypeScript files in Marcus Chen's VS Code settings (.vscode/settings.json).\n\nName: single quotes in TypeScript\nLabels: Preference\nSummary: Marcus Chen requested single quotes for TypeScript files and camelCase for function names like handleAcceptShare, which the assistant implemented.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code editor settings and preferences for Marcus Chen's development environment\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".vscode/settings.json\",\"editor\":{\"vim.enable\":true,\"editor.tabSize\":2,\"editor.formatOnSave\":true},\"python\":{\"python.formatting.provider\":\"ruff\",\"python.lin",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2813,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 598.7701416015625,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly includes all three elements from the golden answer: 2-space indentation (VS Code editor.tabSize set to 2), single quotes preference for TypeScript, and camelCase required for function names. These facts and entity summaries provide sufficient detail to state the TypeScript code style rules listed in the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "2-space indentation (editor.tabSize = 2)",
+ "single quotes for TypeScript",
+ "camelCase for function names"
+ ],
+ "completeness_duration_ms": 9195.329189300537,
+ "answer": "Use camelCase for function names (e.g., handleAcceptShare), 2-space tabs, Prettier (esbenp.prettier-vscode) as the default formatter with formatOnSave enabled, prefer single quotes in TypeScript, and keep TypeScript settings in .vscode/settings.json.",
+ "golden_answer": "Your TypeScript code style uses 2-space indentation, single quotes, and camelCase for functions.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly includes camelCase for function names, 2-space indentation (stated as \"2-space tabs\"), and a preference for single quotes \u2014 matching all three style rules in the golden answer. Additional details (Prettier and settings.json) are extra but do not omit any required information.",
+ "response_duration_ms": 9195.329427719116,
+ "grading_duration_ms": 3796.3552474975586,
+ "total_duration_ms": 13590.45672416687,
+ "response_input_tokens": 596,
+ "response_output_tokens": 515,
+ "completeness_input_tokens": 1132,
+ "completeness_output_tokens": 182,
+ "grading_input_tokens": 561,
+ "grading_output_tokens": 144,
+ "total_input_tokens": 2289,
+ "total_output_tokens": 841
+ },
+ {
+ "question": "What are my React component conventions?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nReact imports are grouped at the top. (Date range: 2024-03-17T14:32:30Z - present)\n\nReact Query imports are grouped at the top. (Date range: 2024-03-17T14:32:30Z - present)\n\nThe component is functional using hooks. (Date range: 2024-03-17T14:31:30Z - present)\n\nThe imports now include React. (Date range: 2024-03-17T14:32:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: components folder\nLabels: Location\nSummary: Marcus Chen requested creation of a new React component, TaskShareCard.tsx, to be placed in the components folder, using kebab-case naming: task-share-card.tsx.\n\nName: @components\nLabels: Topic\nSummary: Local imports should use the @ alias for absolute imports from src, specifically organized under the @/components path.\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\nName: task list component\nLabels: Entity\nSummary: The task list component was refactored to use React Query (TanStack Query) for fetching/caching tasks, keeping Zustand for filter/sort UI state, as requested by Marcus Chen.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:47.807067Z) Reorganized imports: React and react-query at top, then local imports using @/components and @/hooks aliases. Added blank lines between groups.\n(2025-12-04T02:42:46.946164Z) Created a quick reference for Tyler. Python conventions: snake_case for files (task_service.py) and functions (get_user_tasks), 4-space indentation, and double quotes. This matches what ruff enforces.\n",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2421,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 441.77770614624023,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context explicitly states that the component is functional and uses hooks, which covers the 'prefer functional components' and 'use hooks' parts of the golden answer. However, it does not indicate that React components are named with PascalCase; in fact an entity notes a request to name a file using kebab-case (task-share-card.tsx), which contradicts PascalCase. Therefore the PascalCase naming convention is missing from the context.",
+ "completeness_missing_elements": [
+ "PascalCase naming for React components"
+ ],
+ "completeness_present_elements": [
+ "Prefer functional components",
+ "Use hooks",
+ "React imports grouped at top",
+ "Imports include React"
+ ],
+ "completeness_duration_ms": 7789.409875869751,
+ "answer": "Your conventions: use functional components with hooks; kebab-case filenames in the components folder (e.g., task-share-card.tsx); include React and group imports at the top (React first, React Query next) with blank lines between groups; use @ aliases for local absolute imports (e.g., @/components, @/hooks); use React Query for fetching/caching while keeping Zustand for UI state; and prefer route-level error boundaries.",
+ "golden_answer": "You use PascalCase naming for React components, prefer functional components, and use hooks.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes that functional components and hooks are preferred, but it does not state that React components use PascalCase naming. Instead it specifies kebab-case filenames, so it omits the golden answer's required detail about PascalCase component names.",
+ "response_duration_ms": 7789.410591125488,
+ "grading_duration_ms": 3649.139642715454,
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+ "grading_input_tokens": 584,
+ "grading_output_tokens": 131,
+ "total_input_tokens": 2291,
+ "total_output_tokens": 880
+ },
+ {
+ "question": "How do I implement soft deletes?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nSoft deletes should be implemented using the deleted_at field. (Date range: 2024-03-15T10:47:00Z - present)\n\nThe Alembic migration included adding the deleted_at column to support soft deletes (Date range: 2024-03-15T10:47:30Z - present)\n\nThe Alembic migration should utilize soft deletes. (Date range: 2024-03-15T10:47:00Z - present)\n\nMarcus Chen wants the branch to be deleted after the operation. (Date range: 2024-03-18T09:18:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: soft deletes\nLabels: Topic\nSummary: Marcus Chen requested soft deletes using a 'deleted_at' column instead of hard deletes for the SharedTask Alembic migration.\n\nName: alembic/versions/20240315_add_shared_tasks.py\nLabels: Document\nSummary: Alembic migration file 'alembic/versions/20240315_add_shared_tasks.py' was generated. It adds a 'deleted_at' column for soft deletes and indexes foreign keys for the 'shared_tasks' table.\n\nName: task_id\nLabels: Entity\nSummary: The 'task_id' attribute was added to SharedTask model as a foreign key, indexed with soft deletes. It is referenced in the POST /api/v1/tasks/{task_id}/shares endpoint, which now raises TaskFlowError for invalid IDs.\n\nName: shared_by_user_id\nLabels: Entity\nSummary: The attribute 'shared_by_user_id' was added as a foreign key in the 'shared_tasks' table, included in the Alembic migration for soft deletes.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:44.912876Z) Generated Alembic migration in alembic/versions/20240315_add_shared_tasks.py. Added deleted_at column for soft deletes and indexes on all foreign keys (task_id, shared_by_user_id, shared_with_user_id).\n(2025-12-04T02:42:47.270351Z) Once ",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2406,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 598.6995697021484,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that soft deletes should be implemented using a deleted_at field and that the Alembic migration added a deleted_at column to support soft deletes. This directly matches the golden answer (use a deleted_at timestamp column instead of hard deletes), so all required information is present.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Soft deletes implemented using a deleted_at field/timestamp",
+ "Alembic migration added deleted_at column to support soft deletes",
+ "Migration file alembic/versions/20240315_add_shared_tasks.py includes deleted_at column"
+ ],
+ "completeness_duration_ms": 4352.756500244141,
+ "answer": "Mark rows as deleted by setting the deleted_at timestamp column (added in the Alembic migration) instead of removing them from the table.",
+ "golden_answer": "You implement soft deletes using a deleted_at timestamp column instead of hard deletes.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response conveys the same essential information: use a deleted_at timestamp column to mark rows as deleted rather than hard-deleting them. The mention of adding the column in an Alembic migration is additional detail but does not change the meaning.",
+ "response_duration_ms": 4352.756977081299,
+ "grading_duration_ms": 3173.261880874634,
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+ "grading_output_tokens": 131,
+ "total_input_tokens": 2260,
+ "total_output_tokens": 552
+ },
+ {
+ "question": "What's my JWT authentication setup?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nJWT tokens are configured to be present in the Authorization header. (Date range: 2024-03-20T14:03:30Z - present)\n\nJWT tokens have a 15-minute expiry time, as configured by the Assistant. (Date range: 2024-03-20T14:03:30Z - present)\n\nTaskFlow AI's auth system is using a legacy JWT library. (Date range: 2024-03-20T14:03:00Z - present)\n\nAssistant added the refactoring of the JWT library to the tech debt backlog. (Date range: 2024-03-20T14:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: JWT library\nLabels: Object\nSummary: The auth system is using a legacy JWT library that needs refactoring eventually, as mentioned by Marcus Chen.\n\nName: JWT tokens\nLabels: Object\nSummary: JWT tokens use a legacy library that needs refactoring. Currently, they work with a 15-minute expiry in the Authorization header.\n\nName: auth system\nLabels: Topic\nSummary: The auth system is currently using a legacy JWT library that Marcus Chen noted needs refactoring.\n\nName: Authorization header\nLabels: Entity\nSummary: JWT tokens in the Authorization header have a 15-minute expiry, as configured, despite the auth system needing future refactoring.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"description\":\"Docker Compose configuration for Marcus Chen's local development database setup\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"docker-compose.yml\",\"version\":\"3.8\",\"services\":{\"postgres\":{\"image\":\"postgres:15\",\"ports\":[\"5433:5432\"],\"environment\":{\"POSTGRES_DB\":\"taskflow_dev\",\"POSTGRES_USER\":\"taskflow\",\"POSTGRES_PASSWORD\":\"local_dev_password\"},\"volumes\":[\"postgres_data:/var/lib/postgresql/data\"]}},\"volumes\":{\"postgres_data\":",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2660,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 577.0828723907471,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that JWT tokens are configured to be present in the Authorization header and that JWT tokens have a 15-minute expiry time. Both key elements from the golden answer are present and current in the facts and entities, so the context contains all information needed to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "JWT tokens are in the Authorization header",
+ "JWT tokens have a 15-minute expiry"
+ ],
+ "completeness_duration_ms": 3249.743938446045,
+ "answer": "Your auth uses JWTs sent in the Authorization header with a 15-minute expiry, implemented using a legacy JWT library that\u2019s been added to the tech-debt backlog for refactoring.",
+ "golden_answer": "You use JWT tokens with 15-minute expiry, sent in the Authorization header.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential details from the golden answer: it states JWT tokens, a 15-minute expiry, and that they are sent in the Authorization header. The additional note about a legacy library is extra information but does not omit or change any critical details.",
+ "response_duration_ms": 3249.744415283203,
+ "grading_duration_ms": 7815.253019332886,
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+ "grading_input_tokens": 530,
+ "grading_output_tokens": 135,
+ "total_input_tokens": 2204,
+ "total_output_tokens": 410
+ },
+ {
+ "question": "Who reviews different types of PRs on my team?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen usually reviews PRs between 10:00 AM and 10:30 AM. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nJake Morrison will review the frontend PR. (Date range: 2024-03-18T15:03:00Z - present)\n\nMarcus Chen asked for a review of the frontend PR. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:03:00Z)\n\nPriya Patel reviews all infrastructure and DevOps changes. (Date range: 2024-03-19T14:02:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: frontend PR\nLabels: Topic\nSummary: Marcus Chen requested Jake Morrison to review the frontend PR, which previously had console.log statements and 'any' types removed, and a hardcoded API key fixed.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: standup\nLabels: Event\nSummary: Marcus Chen reviews PRs between 10:00 AM and his 10:30 AM standup; the original summary stated he missed Wednesday's 10:30 AM standup.\n\nName: PRs\nLabels: Entity\nSummary: Marcus Chen committed a fix using the 'fix:' prefix: \"fix: resolve priority update validation error in task service\". PR [TF-247] for feature branch feat/TF-247-task-sharing is pending assistant rebase on main before Sarah Kim reviews.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.946164Z) Good. I do my code reviews first thing in the morning so he can expect feedback then. I usually review PRs between 10am when I start and standup at 10:30am.\n(2025-12-04T02:42:47.524213Z) Yeah deploying on Friday is asking for trouble. Trigger the deploy but let Priya Patel know - she reviews all infrastructure and",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2478,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 466.2172794342041,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context explicitly states Jake Morrison reviews the frontend PR and that Priya Patel reviews all infrastructure/DevOps changes, matching two of the three mappings in the golden answer. However, the context does not explicitly state that Sarah Kim reviews backend PRs. There is only an indirect reference indicating a PR is pending Sarah Kim's review, but her review scope (backend PRs) is not specified. Therefore the context is missing the key element that Sarah Kim is the backend reviewer.",
+ "completeness_missing_elements": [
+ "Sarah Kim reviews backend PRs (explicit mapping)"
+ ],
+ "completeness_present_elements": [
+ "Jake Morrison reviews frontend PRs",
+ "Priya Patel reviews infrastructure/DevOps changes",
+ "A PR is pending Sarah Kim's review (but her review area not specified)",
+ "Marcus Chen review timing and other PR-related facts"
+ ],
+ "completeness_duration_ms": 18674.831867218018,
+ "answer": "Frontend PRs are reviewed by Jake Morrison, infrastructure/DevOps (deployment) PRs by Priya Patel, Marcus Chen does general code reviews (usually between 10:00\u201310:30 before standup), and Sarah Kim will review PR TF-247 after it\u2019s rebased onto main.",
+ "golden_answer": "Sarah Kim reviews backend PRs, Jake Morrison reviews frontend PRs, and Priya Patel reviews infrastructure changes.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes Jake Morrison for frontend PRs and Priya Patel for infrastructure, but it does not state that Sarah Kim reviews backend PRs. It only mentions Sarah will review a specific PR after rebasing, which omits the essential information that she reviews backend PRs, so the response is not semantically equivalent to the golden answer.",
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+ "completeness_output_tokens": 308,
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+ "grading_output_tokens": 215,
+ "total_input_tokens": 2363,
+ "total_output_tokens": 974
+ },
+ {
+ "question": "How do I handle API pagination?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nReact Query's useInfiniteQuery hook is well-suited for handling the cursor-based pagination response structure. (Date range: 2024-03-22T10:01:30Z - present)\n\nThe task list endpoint must use cursor-based pagination instead of offset-based pagination. (Date range: 2024-03-22T10:01:00Z - 2024-03-22T10:01:30Z)\n\nThe task list endpoint response includes pagination info and other metadata within the \"meta\" field. (Date range: 2024-03-22T10:02:30Z - present)\n\nMarcus Chen requested that the task list endpoint uses cursor-based pagination. (Date range: 2024-03-22T10:01:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: pagination info\nLabels: Topic\nSummary: Marcus Chen confirmed task list API uses cursor pagination (limit/cursor params) and standard response wrapper {\"data\": ..., \"meta\": ...} containing pagination info like next_cursor.\n\nName: useInfiniteQuery\nLabels: Entity\nSummary: The useInfiniteQuery hook is used by the assistant to handle cursor-based pagination for the task list endpoint, which utilizes limit and cursor parameters.\n\nName: cursor-based pagination\nLabels: Topic\nSummary: Marcus Chen requested cursor-based pagination (limit/cursor params) for the task list API, which is confirmed to be implemented and handles next_cursor via useInfiniteQuery.\n\nName: API\nLabels: Entity\nSummary: Marcus Chen confirmed the API list endpoint uses cursor-based pagination (limit/cursor) and standard wrapper: {\"data\": ..., \"meta\": {...}}. He also requested integration tests for API endpoints.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:44.912876Z) Now let's add the FastAPI endpoint. Put it in the tasks router. Remember our API uses /api/",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2730,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 352.0684242248535,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that the task list endpoint uses cursor-based pagination and mentions limit and cursor parameters. It also documents that pagination info (e.g., next_cursor) is included in the response meta field and that useInfiniteQuery is used to handle this cursor-based pagination. These elements fully cover the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "cursor-based pagination",
+ "limit and cursor parameters",
+ "pagination info in meta (next_cursor)",
+ "useInfiniteQuery for handling cursor-based pagination",
+ "API task list endpoint uses cursor-based pagination"
+ ],
+ "completeness_duration_ms": 3683.1846237182617,
+ "answer": "Use cursor-based pagination (limit + cursor params) \u2014 the API returns {\"data\": ..., \"meta\": {...}} with pagination info like next_cursor, and on the client use React Query's useInfiniteQuery to fetch pages.",
+ "golden_answer": "You use cursor-based pagination with limit and cursor parameters.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response explicitly states to use cursor-based pagination and mentions limit + cursor parameters, which matches the golden answer. Additional details (response shape and client usage) do not omit or contradict the essential instruction.",
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+ "completeness_output_tokens": 192,
+ "grading_input_tokens": 534,
+ "grading_output_tokens": 123,
+ "total_input_tokens": 2179,
+ "total_output_tokens": 494
+ },
+ {
+ "question": "What's my deployment schedule?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays. (Date range: 2024-03-19T14:01:00Z - 2024-03-19T14:01:30Z)\n\nThe deployment to AWS ECS is happening today because it is Tuesday. (Date range: 2024-03-19T14:01:30Z - present)\n\nMarcus Chen stated that they can deploy if the CI pipeline passes. (Date range: 2024-03-19T14:00:00Z - present)\n\nMarcus Chen asked that Priya Patel be notified about the deployment trigger. (Date range: 2024-03-19T14:02:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\nName: TaskFlow AI's demo day\nLabels: Event\nSummary: TaskFlow AI's demo day is an upcoming event which Marcus Chen stated needs a task list query improvement to be ready.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 10:30am standup because I was debugging. It's Wednesday afternoon which is my no-meeting focus time, so I can catch up now. What's the status of TF-247?\n(2025-12-04T02:42:46.388065Z) Good. My working hours are 10am to 6pm PT so I've got a few hours left. Let's work on impr",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2463,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 409.57140922546387,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that deployments are permitted only on Tuesdays and Thursdays and never on Fridays (Marcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays). This directly matches the golden answer. No additional information is required to answer the question about the deployment schedule.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Deployments permitted on Tuesdays",
+ "Deployments permitted on Thursdays",
+ "Deployments not permitted on Fridays",
+ "Deployment restriction specified by Marcus Chen (to AWS ECS)"
+ ],
+ "completeness_duration_ms": 4518.91565322876,
+ "answer": "Deployments to AWS ECS are allowed on Tuesdays and Thursdays (never Fridays); today's deployment is happening because it's Tuesday \u2014 CI must pass and Priya Patel should be notified.",
+ "golden_answer": "You deploy only on Tuesdays and Thursdays, never on Fridays.",
+ "answer_grade": true,
+ "answer_reasoning": "The response explicitly states deployments are allowed on Tuesdays and Thursdays and never on Fridays, matching the golden answer. Additional details (AWS ECS, CI, Priya Patel) do not omit or contradict the essential schedule information.",
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+ "grading_output_tokens": 189,
+ "total_input_tokens": 2268,
+ "total_output_tokens": 603
+ },
+ {
+ "question": "What are the requirements before I can merge a PR?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMerging PR '[TF-247] Add task sharing feature' requires at least one approval from an entity like Sarah. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe PR '[TF-247] Add task sharing feature' requires approval from Sarah. (Date range: 2024-03-18T09:17:00Z - present)\n\nMarcus Chen confirms it is good practice to always rebase on main before creating a PR. (Date range: 2024-03-18T09:16:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: CI\nLabels: Topic\nSummary: CI is running lint, type-check, and tests for PR [TF-247]. Marcus Chen requires CI passing and one approval before the PR can be squash merged and the branch deleted.\n\nName: approval\nLabels: Entity\nSummary: Marcus Chen will ask Sarah to review the PR for '[TF-247] Add task sharing feature'. The change requires at least one approval and passing CI before a squash merge and branch deletion.\n\nName: Sarah\nLabels: Entity\nSummary: Marcus Chen will ping Sarah to review the PR titled \"[TF-247] Add task sharing feature\"; at least one approval is needed before merging.\n\nName: PRs\nLabels: Entity\nSummary: Marcus Chen committed a fix using the 'fix:' prefix: \"fix: resolve priority update validation error in task service\". PR [TF-247] for feature branch feat/TF-247-task-sharing is pending assistant rebase on main before Sarah Kim reviews.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-12-04T02:42:47.270351Z)",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2389,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 618.704080581665,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states that the PR requires at least one approval, that the merge is contingent on CI passing, and notes the need to rebase on main (mentioned as good practice and that the PR is pending a rebase). All three requirements from the golden answer are present in the provided facts and entities, so the context contains sufficient information to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "at least one approval required",
+ "CI must pass before merge",
+ "rebase on main required"
+ ],
+ "completeness_duration_ms": 6588.657855987549,
+ "answer": "For this PR you need CI to be green and at least one approval (Sarah), and it's recommended to rebase on main before creating the PR.",
+ "golden_answer": "Before merging, you need at least one approval, CI must pass, and you must rebase on main.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits/weakens a critical requirement from the golden answer: the golden states you must rebase on main before merging, but the response says it is recommended to rebase before creating the PR (not required). It also changes timing; thus it does not contain all essential information.",
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+ "total_input_tokens": 2280,
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+ },
+ {
+ "question": "What's my API versioning and resource naming approach?",
+ "category": "medium",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe API uses /api/v1/ versioning scheme that the endpoint must adhere to. (Date range: 2024-03-15T10:48:00Z - present)\n\nThe request/response models were created using Pydantic v2. (Date range: 2024-03-15T10:48:30Z - present)\n\nSome endpoints were migrated to GraphQL, establishing a hybrid approach, as of the current time. (Date range: 2024-03-22T10:03:00Z - present)\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: API\nLabels: Entity\nSummary: Marcus Chen confirmed the API list endpoint uses cursor-based pagination (limit/cursor) and standard wrapper: {\"data\": ..., \"meta\": {...}}. He also requested integration tests for API endpoints.\n\nName: fastapi\nLabels: Entity\nSummary: FastAPI is a dependency for Marcus Chen's taskflow-api project, requiring version >=0.100.0, configured via pyproject.toml.\n\nName: taskflow-api\nLabels: Entity\nSummary: The 'taskflow-api' project configuration for Marcus Chen requires Python >=3.11 and uses FastAPI, SQLAlchemy, Pydantic, and Alembic. Tooling includes Ruff (line-length 88) and pytest (min 7.0, coverage >=80).\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:44.912876Z) Now let's add the FastAPI endpoint. Put it in the tasks router. Remember our API uses /api/v1/ versioning and plural nouns for resources. The endpoint should be POST /api/v1/tasks/{task_id}",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2641,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 544.9643135070801,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly states the API uses the /api/v1/ URL path versioning scheme (fact entry) and also explicitly notes the convention of using plural nouns for resources (episode entry). Both key elements from the golden answer are present, so the context contains all information needed to answer the question.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "URL path versioning (/api/v1/)",
+ "Use of plural nouns for resource names"
+ ],
+ "completeness_duration_ms": 4678.939342498779,
+ "answer": "You use path-based versioning with /api/v1/ and plural nouns for resource names (e.g., /api/v1/tasks/{task_id}).",
+ "golden_answer": "You use URL path versioning (/api/v1/) and plural nouns for resource names.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes both essential elements from the golden answer: it specifies path-based URL versioning with /api/v1/ and states the use of plural nouns for resource names (with an example). Therefore it is semantically equivalent.",
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+ "completeness_input_tokens": 1139,
+ "completeness_output_tokens": 172,
+ "grading_input_tokens": 531,
+ "grading_output_tokens": 129,
+ "total_input_tokens": 2275,
+ "total_output_tokens": 530
+ },
+ {
+ "question": "What are all my Python code style requirements?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe Python code style conventions require 4-space indentation. (Date range: 2024-03-23T15:00:00Z - 2025-12-04T02:42:48.308Z)\n\nThe tool ruff enforces the Python code style conventions. (Date range: 2024-03-23T15:00:30Z - present)\n\nTyler asked about the Python code style conventions. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Assistant created a quick reference guide for Tyler regarding Python code style conventions. (Date range: 2024-03-23T15:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: function names\nLabels: Topic\nSummary: Python code style conventions dictate using snake_case for function names, 4-space indentation, and double quotes for strings.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Python\nLabels: Topic\nSummary: Marcus Chen's VS Code settings enable Vim mode, format on save, and use Ruff for Python formatting/linting. Python indentation is set to 4 spaces in settings.json.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code editor settings and preferences for Marcus Chen's development environment\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".vscode/settings.json\",\"editor\":{\"vim.enable\":true,\"editor.tabSize\":2,\"editor.formatOnSave\":true},\"python\":{\"python.format",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2905,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 531.052827835083,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of the required style elements (4-space indentation, double quotes for strings, and snake_case for function names) as shown in the FACTS and ENTITIES. However, it does not mention an 88-character maximum line length nor that type hints are mandatory. Because two key items from the golden answer are missing, the context is partial and insufficient to fully answer the question as specified.",
+ "completeness_missing_elements": [
+ "88-character max line length",
+ "type hints are mandatory"
+ ],
+ "completeness_present_elements": [
+ "4-space indentation",
+ "double quotes for strings",
+ "snake_case for function names"
+ ],
+ "completeness_duration_ms": 8692.811012268066,
+ "answer": "Your Python code style requirements: 4-space indentation; function names in snake_case; use double quotes for strings; prefer specific exception handling (don\u2019t catch generic Exception), and if exceptions are caught log them and re-raise; use the logger module instead of print(), logging full stack traces at ERROR and summaries at WARNING; Ruff enforces the style; VS Code is set to Vim mode and format-on-save (editor.tabSize=2 while Python indentation is set to 4).",
+ "golden_answer": "Your Python code style requires: 4-space indentation, double quotes, 88-character max line length, snake_case for function names, and type hints are mandatory.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes 4-space indentation, double quotes, and snake_case for function names, but it omits the required 88-character maximum line length and the requirement that type hints are mandatory. Therefore it does not contain all essential information from the golden answer.",
+ "response_duration_ms": 8692.811489105225,
+ "grading_duration_ms": 3095.167875289917,
+ "total_duration_ms": 12319.033861160278,
+ "response_input_tokens": 572,
+ "response_output_tokens": 487,
+ "completeness_input_tokens": 1121,
+ "completeness_output_tokens": 201,
+ "grading_input_tokens": 610,
+ "grading_output_tokens": 135,
+ "total_input_tokens": 2303,
+ "total_output_tokens": 823
+ },
+ {
+ "question": "What are all my TypeScript code style requirements?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\ncamelCase for function names is required in TypeScript. (Date range: 2024-03-17T14:31:00Z - present)\n\nThe typescript configuration section exists in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe style rules prohibit using 'any' types in TypeScript. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\nThe style rules prohibit leaving console.log statements in the code. (Date range: 2024-03-18T15:00:00Z - 2024-03-18T15:00:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: style rules\nLabels: Topic\nSummary: Style rules review requested for a frontend PR involving Tyler, Marcus Chen's mentee. Rules include no console.log statements and no 'any' types in TypeScript.\n\nName: single quotes in TypeScript\nLabels: Preference\nSummary: Marcus Chen requested single quotes for TypeScript files and camelCase for function names like handleAcceptShare, which the assistant implemented.\n\nName: TypeScript\nLabels: Topic\nSummary: Marcus Chen configured TypeScript settings in VS Code to use 2 space tab size and the Prettier extension for default formatting.\n\nName: 'any' types in TypeScript\nLabels: Topic\nSummary: Marcus Chen requested removal of 'any' types in a frontend PR; the review found 1 'any' type in the API response handler, which Marcus said should be replaced with 'unknown'.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.308121Z) {\"description\":\"VS Code editor settings and preferences for Marcus Chen's development environment\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".vscode/settings.json\",\"editor\":{\"vim.enable\":true,\"editor.tabSize\":2,\"editor.formatOnSave\":true},\"python\":{\"python.formatting",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2829,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 506.11352920532227,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of the style requirements from the golden answer: 2-space indentation is present via the VS Code editor.tabSize setting, single quotes are explicitly mentioned as a TypeScript preference, and camelCase for function names is stated. However, the context does not mention PascalCase for React components nor the use of the @ alias for absolute imports from src. Therefore the context is incomplete relative to the golden answer.",
+ "completeness_missing_elements": [
+ "PascalCase for React components",
+ "@ alias for absolute imports from src"
+ ],
+ "completeness_present_elements": [
+ "2-space indentation (editor.tabSize = 2)",
+ "single quotes in TypeScript",
+ "camelCase for function names"
+ ],
+ "completeness_duration_ms": 35301.89299583435,
+ "answer": "- Use camelCase for function names (e.g., handleAcceptShare). \n- Use single quotes in TypeScript files. \n- VS Code TypeScript settings: 2-space tabSize and Prettier as the default formatter (configured in .vscode/settings.json). \n- Remove/replace 'any' types (replace with 'unknown') and avoid leaving console.log statements in code.",
+ "golden_answer": "Your TypeScript code style requires: 2-space indentation, single quotes, camelCase for functions, PascalCase for React components, and the @ alias for absolute imports from src.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits two critical requirements from the golden answer: PascalCase for React components and the @ alias for absolute imports from src. While it includes 2-space tabSize, single quotes, and camelCase for functions, it fails to include all essential items, so it is not semantically equivalent.",
+ "response_duration_ms": 35301.89394950867,
+ "grading_duration_ms": 3508.159875869751,
+ "total_duration_ms": 39316.169023513794,
+ "response_input_tokens": 594,
+ "response_output_tokens": 1621,
+ "completeness_input_tokens": 1146,
+ "completeness_output_tokens": 281,
+ "grading_input_tokens": 596,
+ "grading_output_tokens": 144,
+ "total_input_tokens": 2336,
+ "total_output_tokens": 2046
+ },
+ {
+ "question": "What's my complete PR workflow before merging?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMerging PR '[TF-247] Add task sharing feature' requires at least one approval from an entity like Sarah. (Date range: 2024-03-18T09:17:00Z - present)\n\nThe merge for PR '[TF-247] Add task sharing feature' is contingent upon CI passing. (Date range: 2024-03-18T09:17:00Z - present)\n\nMarcus Chen requests that a squash merge should be performed once approval is given and CI passes. (Date range: 2024-03-18T09:18:00Z - present)\n\nAssistant included the 'Changes' section in the PR description. (Date range: 2024-03-18T09:16:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Sarah\nLabels: Entity\nSummary: Marcus Chen will ping Sarah to review the PR titled \"[TF-247] Add task sharing feature\"; at least one approval is needed before merging.\n\nName: [TF-247] Add task sharing feature\nLabels: Entity\nSummary: Marcus Chen created PR '[TF-247] Add task sharing feature' after rebasing on main. Sarah Kim will review it, requiring at least one approval before merging.\n\nName: PRs\nLabels: Entity\nSummary: Marcus Chen committed a fix using the 'fix:' prefix: \"fix: resolve priority update validation error in task service\". PR [TF-247] for feature branch feat/TF-247-task-sharing is pending assistant rebase on main before Sarah Kim reviews.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-1",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2447,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 566.2615299224854,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes most required steps: it states the branch was rebased on main (and/or pending rebase), requires at least one approval (Sarah), specifies CI must pass, and Marcus requested a squash merge. However, it does not mention deleting the branch after merging, which is part of the golden answer. Therefore the context is missing that final step and is incomplete for fully answering the question.",
+ "completeness_missing_elements": [
+ "Delete the branch after merging"
+ ],
+ "completeness_present_elements": [
+ "Rebase branch on main",
+ "At least one approval required",
+ "Ensure CI passes",
+ "Use squash merge"
+ ],
+ "completeness_duration_ms": 18595.101356506348,
+ "answer": "Rebase the feature branch onto main, ensure the PR description includes the \"Changes\" section and pushed fixes, wait for the CI pipeline (lint/type-check/tests) to pass, obtain at least one approval from Sarah (or equivalent), then perform a squash merge once CI is green and approval is granted.",
+ "golden_answer": "Before merging: rebase your branch on main, get at least one approval, ensure CI passes, use squash merge, and delete the branch after merging.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes rebase on main, CI passing, at least one approval, and squash merge, but it omits the final step from the golden answer: deleting the branch after merging. Therefore it does not contain all essential information.",
+ "response_duration_ms": 18595.101833343506,
+ "grading_duration_ms": 3968.973159790039,
+ "total_duration_ms": 23130.338430404663,
+ "response_input_tokens": 590,
+ "response_output_tokens": 451,
+ "completeness_input_tokens": 1137,
+ "completeness_output_tokens": 264,
+ "grading_input_tokens": 571,
+ "grading_output_tokens": 194,
+ "total_input_tokens": 2298,
+ "total_output_tokens": 909
+ },
+ {
+ "question": "What's my complete error handling strategy across the stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe full stack trace must be logged at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\nOnly a summary of the full stack trace should be logged at the WARNING level. (Date range: 2024-03-19T10:31:00Z - present)\n\nLogging levels require the full stack trace to be output at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\nMarcus Chen states that logging levels follow a standard pattern of full stack trace at ERROR and summary at WARNING. (Date range: 2024-03-19T10:31:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: full stack trace\nLabels: Entity\nSummary: Marcus Chen specified that the full stack trace should be logged at the ERROR level, while a summary is logged at WARNING level, following the standard pattern.\n\nName: ERROR level\nLabels: Entity\nSummary: At ERROR level logging, the standard pattern requires logging the full stack trace, as confirmed by Marcus Chen.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\nName: Sentry error tracking\nLabels: Topic\nSummary: Marcus Chen requested Sentry error tracking for the task sharing endpoint, structured JSON logging with correlation IDs, and defining log levels (full stack trace at ERROR, summary at WARNING).\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.857377Z) Good. For logging levels, log the full stack trace at ERROR level and just a summary at WARNING level. That's our standard pattern.\n(2025-12-04T02:42:47.807067Z) Now write a test for it. Use Vitest since that's what we use for fro",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2570,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 424.2246150970459,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes logging-related items from the golden answer: structured JSON logging and correlation IDs (mentioned in the Sentry/logging summaries), and details about logging full stack traces at ERROR and summaries at WARNING. However, it lacks any mention of the other error-handling elements in the golden answer: custom TaskFlowError exception classes in Python, React route-level error boundaries, and toast notifications for user-facing errors. Therefore the context is only partially sufficient.",
+ "completeness_missing_elements": [
+ "Custom TaskFlowError exception classes in Python",
+ "Error boundaries at the route level in React",
+ "Toast notifications for user-facing errors"
+ ],
+ "completeness_present_elements": [
+ "Structured JSON logging",
+ "Correlation IDs for tracing",
+ "Logging policy: full stack trace at ERROR level and summary at WARNING level"
+ ],
+ "completeness_duration_ms": 5771.061182022095,
+ "answer": "Use structured JSON logging with correlation IDs and Sentry for error tracking (at least for the task-sharing endpoint), prefer the logger module over print(), and follow the logging-level policy: log the full stack trace at ERROR and only a summary at WARNING.",
+ "golden_answer": "Your error handling uses: custom TaskFlowError exception classes in Python, error boundaries at the route level in React, toast notifications for user-facing errors, structured JSON logging, and correlation IDs for tracing.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits several essential elements from the golden answer: it does not mention the custom TaskFlowError exception classes in Python, React route-level error boundaries, or toast notifications for user-facing errors. It only covers structured JSON logging and correlation IDs (and adds Sentry/logging policy), so it is not semantically equivalent.",
+ "response_duration_ms": 5771.061897277832,
+ "grading_duration_ms": 3138.6687755584717,
+ "total_duration_ms": 9333.956718444824,
+ "response_input_tokens": 570,
+ "response_output_tokens": 312,
+ "completeness_input_tokens": 1126,
+ "completeness_output_tokens": 324,
+ "grading_input_tokens": 571,
+ "grading_output_tokens": 149,
+ "total_input_tokens": 2267,
+ "total_output_tokens": 785
+ },
+ {
+ "question": "What's my complete testing philosophy and approach?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe CI pipeline requires that the tests pass. (Date range: 2024-03-19T14:00:00Z - 2024-03-19T14:00:30Z)\n\nMarcus Chen wants the full test suite to be run. (Date range: 2024-03-16T11:03:00Z - 2024-03-16T11:03:30Z)\n\nAssistant included the 'Testing' section in the PR description. (Date range: 2024-03-18T09:16:30Z - present)\n\nThe Assistant ran the full test suite using pytest. (Date range: 2024-03-16T11:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: unit test\nLabels: Event\nSummary: Marcus Chen requested an integration test for an API endpoint instead of a unit test when addressing a bug related to task priority updates (TF-251).\n\nName: Testing\nLabels: Topic\nSummary: The PR for feature [TF-247] includes a required 'Testing' section in its description. CI is currently running tests for this PR.\n\nName: tests\nLabels: Topic\nSummary: Marcus Chen confirmed deployment today after CI pipeline passed, showing tests achieved 92% coverage.\n\nName: test suite\nLabels: Topic\nSummary: Marcus Chen requested running the full test suite with pytest, which resulted in 147 passing tests and 94% coverage on new code.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-12-04T02:42:46.946164Z) Good. I do my code reviews first thing in the morning so he can expect feedback then. I usually review PRs between 10am when I start and standup at 10:30am.\n(2025-12-04T02:42:47.270351Z) Rebased on main successfully. Created PR with title \"[TF-247] Add task sharing feature\". Added the three required sections in the ",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2233,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 512.2337341308594,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes some but not all key elements from the golden answer. Coverage targets are indirectly supported by facts showing high coverage on new code (92% / 94%), and there is explicit evidence preferring integration tests over unit tests for an API. However, there is no mention of using factory_boy for test data, no statement about writing a failing test first (TDD) when fixing bugs, and no guidance about restricting E2E tests to only critical user journeys. Therefore the context is incomplete for fully reproducing the golden testing philosophy.",
+ "completeness_missing_elements": [
+ "Use factory_boy for test data",
+ "Write failing test first for bug fixes (TDD)",
+ "E2E tests only for critical user journeys"
+ ],
+ "completeness_present_elements": [
+ "Minimum/actual coverage for new code (92% / 94%, implying >80%)",
+ "Prefer integration tests over unit tests for APIs",
+ "Tests run with pytest",
+ "CI requires tests to pass",
+ "Full test suite was run and included in PR testing"
+ ],
+ "completeness_duration_ms": 8855.973243713379,
+ "answer": "Your testing philosophy is to require CI tests to pass before merges, include a 'Testing' section in every PR, run the full pytest test suite (you've run it to 147 passing tests with ~92\u201394% coverage on new code), prefer integration tests for API endpoint bugs when appropriate, and only deploy after the pipeline and coverage checks succeed.",
+ "golden_answer": "Your testing approach: 80% minimum coverage for new code, prefer integration tests over unit tests for APIs, use factory_boy for test data, write failing test first for bug fixes (TDD), and E2E tests only for critical user journeys.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits several essential items from the golden answer: it does not state the 80% minimum coverage requirement (it gives actual numbers but not the policy), it fails to mention use of factory_boy for test data, it does not include the TDD practice of writing a failing test first for bug fixes, and it omits the rule that E2E tests should be used only for critical user journeys. It only matches the preference for integration tests for APIs and mentions CI/coverage checks.",
+ "response_duration_ms": 8855.973720550537,
+ "grading_duration_ms": 6015.169143676758,
+ "total_duration_ms": 15383.378028869629,
+ "response_input_tokens": 625,
+ "response_output_tokens": 525,
+ "completeness_input_tokens": 1193,
+ "completeness_output_tokens": 348,
+ "grading_input_tokens": 602,
+ "grading_output_tokens": 248,
+ "total_input_tokens": 2420,
+ "total_output_tokens": 1121
+ },
+ {
+ "question": "What's my complete local development environment setup?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\n.env.local contains all the local development environment variables. (Date range: 2024-03-20T09:03:00Z - present)\n\n.env.local stores all our local dev config. (Date range: 2024-03-20T09:03:00Z - present)\n\nThe postgres:15 image is configured within the docker-compose.yml file for local development setup. (Date range: 2025-12-04T02:42:48.297Z - present)\n\nThe file .env.example was copied to create .env.local. (Date range: 2024-03-20T09:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: environment variables\nLabels: Topic\nSummary: Marcus Chen confirmed that hardcoded API keys should be moved to .env.local, which is gitignored for local development environment variables.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\nName: .env.example\nLabels: Document\nSummary: Marcus Chen instructed to copy .env.example to .env.local for local dev config, ensuring secrets are gitignored.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.532462Z) I need to set up my new MacBook for development. Let me document the setup. I use VS Code with Vim keybindings - can you check if my settings.json is backed up?\n(2025-12-04T02:42:46.655888Z) Good catch on the secret. Never hardcode secrets or API keys. We always use .env.local for local development",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2430,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 519.603967666626,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "All five elements from the golden answer are present in the context: VS Code with Vim keybindings (episode), uv and pnpm for package management (entity summary), PostgreSQL configured in docker-compose exposing host port 5433 (entity and facts), and .env.local containing local environment variables (facts/entities). Sufficient detail exists to state the complete local development setup as in the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "VS Code with Vim keybindings",
+ "uv for Python packages",
+ "pnpm for Node packages",
+ "PostgreSQL in Docker on port 5433",
+ ".env.local for environment variables"
+ ],
+ "completeness_duration_ms": 5837.991952896118,
+ "answer": "Your local dev setup uses a gitignored .env.local (copied from .env.example) for env vars/secrets, a docker-compose.yml (v3.8) running postgres:15 exposing 5433:5432 with database taskflow_dev and user taskflow, and you've installed uv and pnpm and use VS Code with Vim keybindings.",
+ "golden_answer": "Your local setup: VS Code with Vim keybindings, uv for Python packages, pnpm for Node packages, PostgreSQL in Docker on port 5433, and .env.local for environment variables.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential elements from the golden answer: VS Code with Vim keybindings, uv installed for Python packages, pnpm installed for Node packages, PostgreSQL running in Docker exposed on host port 5433, and a gitignored .env.local used for environment variables. Additional details do not omit any required information.",
+ "response_duration_ms": 5837.992191314697,
+ "grading_duration_ms": 3729.8967838287354,
+ "total_duration_ms": 10087.494134902954,
+ "response_input_tokens": 590,
+ "response_output_tokens": 334,
+ "completeness_input_tokens": 1146,
+ "completeness_output_tokens": 273,
+ "grading_input_tokens": 591,
+ "grading_output_tokens": 212,
+ "total_input_tokens": 2327,
+ "total_output_tokens": 819
+ },
+ {
+ "question": "What are all my database table conventions?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe table name for shared_tasks must use plural snake_case. (Date range: 2024-03-15T10:46:00Z - present)\n\nPython conventions specify using snake_case for certain elements. (Date range: 2024-03-23T15:00:30Z - present)\n\nGit configuration conventions are specified in the .gitconfig file. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nSELECT * pulls all columns including the large description field. (Date range: 2024-03-20T14:01:30Z - 2024-03-20T14:02:00Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: database model\nLabels: Entity\nSummary: Marcus Chen requested creation of a new database model named 'shared_tasks', specifying plural snake_case table name, UUID v4 id, and UTC timestamps (created_at, updated_at).\n\nName: shared_tasks\nLabels: Topic\nSummary: Marcus Chen requested the creation of a new database model named 'shared_tasks' with a UUID v4 id, snake_case plural table name, and UTC timestamps for created_at and updated_at.\n\nName: refactor\nLabels: Topic\nSummary: The term 'refactor' is listed as a valid type for Git branch naming conventions (/- using prefix 'TF') and commit conventions for Marcus Chen's project.\n\nName: conventional commits style\nLabels: Topic\nSummary: Marcus Chen instructed that a commit following the conventional commits style should use the 'fix:' prefix because it resolves a bug in task_service.py.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration and workflow conventions for Marcus Chen's development process\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".gitconfig\",\"merge\":{\"strategy\":\"squash\"},\"branch\":{\"naming_convention\":\"",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3020,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 396.0561752319336,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several key elements from the golden answer: plural snake_case table naming (explicit for shared_tasks), UUID v4 primary key named 'id', and UTC created_at/updated_at timestamps. However, it does not mention soft deletes (deleted_at) or a requirement to add indexes on all foreign keys. Therefore the context is missing those elements and cannot fully reproduce the golden answer.",
+ "completeness_missing_elements": [
+ "soft deletes with deleted_at",
+ "indexes on all foreign keys"
+ ],
+ "completeness_present_elements": [
+ "plural snake_case table names (e.g., shared_tasks)",
+ "UUID v4 primary key in column named 'id'",
+ "created_at and updated_at timestamps in UTC"
+ ],
+ "completeness_duration_ms": 6111.512184143066,
+ "answer": "Table names use plural snake_case (e.g., shared_tasks); primary keys are UUID v4; include UTC timestamps created_at and updated_at; and follow Python snake_case conventions for relevant elements.",
+ "golden_answer": "Your database conventions: plural snake_case table names, UUID v4 primary keys in a column named 'id', created_at and updated_at timestamps in UTC, soft deletes with deleted_at, and indexes on all foreign keys.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits several required conventions from the golden answer: it does not state that the primary key column is named 'id', it omits soft deletes with a deleted_at column, and it omits the requirement to add indexes on all foreign keys. It only covers plural snake_case names and UTC created_at/updated_at timestamps and UUID v4 primary keys (but not the 'id' column name). Therefore it is not semantically equivalent.",
+ "response_duration_ms": 6111.5124225616455,
+ "grading_duration_ms": 4409.521579742432,
+ "total_duration_ms": 10917.091846466064,
+ "response_input_tokens": 575,
+ "response_output_tokens": 365,
+ "completeness_input_tokens": 1135,
+ "completeness_output_tokens": 282,
+ "grading_input_tokens": 562,
+ "grading_output_tokens": 173,
+ "total_input_tokens": 2272,
+ "total_output_tokens": 820
+ },
+ {
+ "question": "What are all my API design standards?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe API uses /api/v1/ versioning scheme that the endpoint must adhere to. (Date range: 2024-03-15T10:48:00Z - present)\n\nThe usage of the 'any' type was identified within the API response handler. (Date range: 2024-03-18T15:00:30Z - 2024-03-18T15:01:00Z)\n\nThe integration test hits the actual API endpoint. (Date range: 2024-03-16T11:01:30Z - present)\n\nMarcus Chen prefers the test to be an integration test for the API endpoint. (Date range: 2024-03-16T11:01:00Z - 2024-03-16T11:01:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: response wrapper format\nLabels: Entity\nSummary: The standard response wrapper format, {\"data\": ..., \"meta\": {...}}, with pagination info in meta, was confirmed for the API endpoint, matching all other endpoints.\n\nName: API\nLabels: Entity\nSummary: Marcus Chen confirmed the API list endpoint uses cursor-based pagination (limit/cursor) and standard wrapper: {\"data\": ..., \"meta\": {...}}. He also requested integration tests for API endpoints.\n\nName: endpoints\nLabels: Entity\nSummary: Endpoints use a hybrid approach (REST and GraphQL). REST endpoints use cursor-based pagination (limit/cursor params) and the standard {\"data\": ..., \"meta\": {...}} structure, returning next_cursor in meta.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:44.912876Z) Added the share endpoint to src/api/v1/routers/tasks.py. Created POST /api/v1/tasks/{task_id}/shares with proper request/response models using Pydantic v2. Included the standard respo",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2708,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 435.31298637390137,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes multiple elements from the golden answer: the /api/v1/ URL versioning, the standard response wrapper {\"data\", \"meta\"}, and cursor-based pagination using limit and cursor (including next_cursor in meta). However, it does not explicitly state an API naming standard requiring plural nouns for resources (only examples like /api/v1/tasks exist, but no explicit rule). It also lacks any mention of JWT authentication in the Authorization header. Because at least one required element (JWT auth) and the explicit plural-noun naming rule are missing, the context is incomplete for fully answering the question as the golden answer requires.",
+ "completeness_missing_elements": [
+ "Explicit rule: use plural nouns for resources",
+ "JWT authentication via Authorization header"
+ ],
+ "completeness_present_elements": [
+ "URL versioning at /api/v1/",
+ "Response wrapper format {\"data\", \"meta\": {...}}",
+ "Cursor-based pagination with limit and cursor params",
+ "next_cursor returned in meta",
+ "Example endpoints using plural resource names (e.g., /api/v1/tasks)"
+ ],
+ "completeness_duration_ms": 8599.303483963013,
+ "answer": "API standards: use /api/v1 versioning; REST endpoints use the {\"data\": ..., \"meta\": {...}} wrapper with cursor-based pagination (limit/cursor) and next_cursor in meta; some endpoints use GraphQL (hybrid REST+GraphQL); request/response models use Pydantic v2; and endpoints should have integration tests that hit the real API (Marcus prefers integration tests).",
+ "golden_answer": "Your API standards: plural nouns for resources, cursor-based pagination with limit and cursor params, response wrapper format {\"data\": ..., \"meta\": {...}}, URL versioning at /api/v1/, and JWT auth in Authorization header.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits two essential standards from the golden answer: it does not state that resource names should be plural nouns, and it does not mention using JWT authentication in the Authorization header. It includes versioning, response wrapper, and cursor pagination, but missing those critical items makes it incomplete.",
+ "response_duration_ms": 8599.303722381592,
+ "grading_duration_ms": 3812.3865127563477,
+ "total_duration_ms": 12847.004175186157,
+ "response_input_tokens": 598,
+ "response_output_tokens": 535,
+ "completeness_input_tokens": 1160,
+ "completeness_output_tokens": 420,
+ "grading_input_tokens": 606,
+ "grading_output_tokens": 205,
+ "total_input_tokens": 2364,
+ "total_output_tokens": 1160
+ },
+ {
+ "question": "What's my complete weekly meeting and deployment schedule?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen only permits deployment to AWS ECS on Tuesdays and Thursdays, but never on Fridays. (Date range: 2024-03-19T14:01:00Z - 2024-03-19T14:01:30Z)\n\nThe deployment to AWS ECS is happening today because it is Tuesday. (Date range: 2024-03-19T14:01:30Z - present)\n\nMarcus Chen asked that Priya Patel be notified about the deployment trigger. (Date range: 2024-03-19T14:02:00Z - present)\n\nGitHub Actions is used as the method for deployment to AWS ECS. (Date range: 2024-03-19T14:01:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: CI pipeline\nLabels: Entity\nSummary: Marcus Chen requested a CI pipeline check before Tuesday's deployment; the pipeline passed all checks (lint, type-check, tests) with 92% coverage, and the build artifact is ready.\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\nName: task priorities\nLabels: Topic\nSummary: Marcus Chen reported a bug (TF-251) where users cannot update task priorities and requested a failing test be written first using TDD.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.388065Z) I missed the 10:30am standup because I was debugging. It's Wednesday afternoon which is my no-meeting focus time, so I can catch up now. What's the status of TF-247?\n(2025-12-04T02:42:46.388065Z) Good. My working hours are 10am to 6pm PT so I've got a few hours left. Let's work ",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2509,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 418.8106060028076,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of the schedule elements from the golden answer: it references a 10:30am standup (missed), explicitly states Wednesday afternoons are no-meeting focus time, and facts state deployments are permitted on Tuesdays and Thursdays. However, there is no information in the context about sprint planning occurring on Monday mornings. Therefore the context is missing that key element required to fully match the golden answer.",
+ "completeness_missing_elements": [
+ "Sprint planning on Monday mornings"
+ ],
+ "completeness_present_elements": [
+ "Daily standup at 10:30am",
+ "No-meeting Wednesday afternoons (focus time)",
+ "Deploys only on Tuesdays and Thursdays"
+ ],
+ "completeness_duration_ms": 16782.305240631104,
+ "answer": "Meetings: 10:30am standup (you missed today's); Wednesday afternoons are no\u2011meeting focus time; working hours 10:00am\u20136:00pm PT. Deployments: AWS ECS deployment is happening today (Tuesday) via GitHub Actions and Priya Patel will be notified of the trigger.",
+ "golden_answer": "Your schedule: daily standup at 10:30am, sprint planning on Monday mornings, no-meeting Wednesday afternoons for focus time, and deploys only on Tuesdays and Thursdays.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits key items from the golden answer: it does not mention sprint planning on Monday mornings, and it fails to state the deployment schedule of 'only on Tuesdays and Thursdays' (it only mentions a deployment happening today). Although it includes the 10:30am standup and no-meeting Wednesday afternoons, missing these critical details makes the response not semantically equivalent.",
+ "response_duration_ms": 16782.30571746826,
+ "grading_duration_ms": 5476.248025894165,
+ "total_duration_ms": 22677.366018295288,
+ "response_input_tokens": 612,
+ "response_output_tokens": 839,
+ "completeness_input_tokens": 1165,
+ "completeness_output_tokens": 274,
+ "grading_input_tokens": 582,
+ "grading_output_tokens": 223,
+ "total_input_tokens": 2359,
+ "total_output_tokens": 1336
+ },
+ {
+ "question": "What's my complete frontend tech stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\n'taskflow-frontend' has typescript as a dev dependency, version ^5.1.0. (Date range: 2025-12-04T02:42:48.31Z - present)\n\n'taskflow-frontend' depends on react version ^18.2.0. (Date range: 2025-12-04T02:42:48.31Z - present)\n\nThe project 'taskflow-frontend' configuration belongs to Marcus Chen. (Date range: 2025-12-04T02:42:48.31Z - present)\n\nMarcus Chen specified that Vitest should be used for writing the frontend unit tests. (Date range: 2024-03-17T14:34:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: React\nLabels: Topic\nSummary: Marcus Chen uses React (^18.2.0) in his taskflow-frontend project, which also utilizes Zod, Zustand, and React Query. He requested error boundaries at the route level and specified using @ alias for absolute imports.\n\nName: taskflow-frontend\nLabels: Entity\nSummary: Marcus Chen's 'taskflow-frontend' uses pnpm@8.6.0, React, Zustand, and Zod. Scripts include dev (vite), build, test (vitest), and lint (eslint). Dev dependencies include Vitest and Playwright.\n\nName: TailwindCSS\nLabels: Entity\nSummary: Marcus Chen's 'taskflow-frontend' project uses TailwindCSS in its devDependencies (version ^3.3.0). The previous summary mentioned using TailwindCSS for styling.\n\nName: @components\nLabels: Topic\nSummary: Local imports should use the @ alias for absolute imports from src, specifically organized under the @/components path.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.310825Z) {\"description\":\"Node.js package configuration from package.json for Marcus Chen's TaskFlow frontend\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"package.json\",\"name\":\"taskflow-frontend\",\"packageManager\":\"pnpm@8.",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2943,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 483.46614837646484,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The context explicitly includes all elements from the golden answer: React (^18.2.0) is listed, TypeScript is present as a dev dependency, TailwindCSS is present in devDependencies, Zustand and Zod are mentioned, and React Query (TanStack Query) is referenced in entity summaries. Therefore the context contains sufficient information to state the complete frontend tech stack as in the golden answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "React 18 (^18.2.0)",
+ "TypeScript (dev dependency)",
+ "TailwindCSS (devDependency)",
+ "Zustand (state management)",
+ "React Query (TanStack Query)",
+ "zod (runtime validation)"
+ ],
+ "completeness_duration_ms": 9494.225263595581,
+ "answer": "Your frontend stack: pnpm@8.6.0 + Vite, React ^18.2.0 with TypeScript ^5.1.0, TailwindCSS ^3.3.0, Zustand, Zod, React Query, Vitest (unit tests), Playwright (E2E), ESLint, plus an @ alias for absolute imports (with route-level error boundaries requested).",
+ "golden_answer": "Your frontend stack: React 18 with TypeScript, TailwindCSS for styling, Zustand for state management, React Query (TanStack Query) for server state, and zod for runtime validation.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential parts of the golden answer: React 18 with TypeScript, TailwindCSS, Zustand, React Query, and Zod. Additional tools (pnpm, Vite, tests, ESLint, etc.) are extra but do not omit any required items.",
+ "response_duration_ms": 9494.225978851318,
+ "grading_duration_ms": 4492.993593215942,
+ "total_duration_ms": 14470.6871509552,
+ "response_input_tokens": 611,
+ "response_output_tokens": 536,
+ "completeness_input_tokens": 1167,
+ "completeness_output_tokens": 287,
+ "grading_input_tokens": 600,
+ "grading_output_tokens": 204,
+ "total_input_tokens": 2378,
+ "total_output_tokens": 1027
+ },
+ {
+ "question": "What's my complete backend tech stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe taskflow-api project requires a Python version greater than or equal to 3.11, related to Marcus Chen's backend. (Date range: 2025-12-04T00:00:00Z - present)\n\nSome endpoints were migrated to GraphQL, establishing a hybrid approach, as of the current time. (Date range: 2024-03-22T10:03:00Z - present)\n\nThe task list component should use React Query for server state management. (Date range: 2024-03-22T10:00:00Z - present)\n\nThe request/response models were created using Pydantic v2. (Date range: 2024-03-15T10:48:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: TaskFlow backend\nLabels: Topic\nSummary: The TaskFlow backend project configuration, sourced from pyproject.toml, specifies Python >=3.11, uses Ruff (line-length 88), pytest (cov-fail-under=80), and dependencies like fastapi, sqlalchemy, pydantic, and alembic.\n\nName: pyproject.toml\nLabels: Document\nSummary: The pyproject.toml file configures Marcus Chen's TaskFlow backend project, 'taskflow-api', requiring Python >=3.11. It specifies Ruff settings (line-length 88) and Pytest options, with dependencies including FastAPI and SQLAlchemy.\n\nName: REST endpoints\nLabels: Entity\nSummary: Most endpoints are REST, using standard {\"data\": ..., \"meta\": {...}} wrapper structure with cursor-based pagination. GraphQL is used for some endpoints.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.28694Z) {\"description\":\"Python project configuration fro",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3048,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 497.9438781738281,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context contains most of the components from the golden answer: FastAPI is listed among dependencies, PostgreSQL is configured in docker-compose, Pydantic v2 is explicitly mentioned, and Alembic is listed as a dependency. However, the context does not state the SQLAlchemy major version (2.0) nor explicitly indicate that SQLAlchemy is used with async support. Because the golden answer requires \u201cSQLAlchemy 2.0 with async support,\u201d the context is missing that specific detail, so it is incomplete for fully matching the golden answer.",
+ "completeness_missing_elements": [
+ "SQLAlchemy 2.0 (explicit version)",
+ "Explicit statement that SQLAlchemy is used with async support"
+ ],
+ "completeness_present_elements": [
+ "FastAPI listed as a dependency",
+ "PostgreSQL 15 configured in docker-compose",
+ "Pydantic v2 used for request/response models",
+ "Alembic listed as a dependency",
+ "SQLAlchemy listed as a dependency (version/async not specified)"
+ ],
+ "completeness_duration_ms": 7608.787059783936,
+ "answer": "Your backend tech stack: Python >=3.11, FastAPI, SQLAlchemy, Pydantic v2, Alembic, PostgreSQL 15 (docker-compose v3.8 with taskflow_dev DB, user \"taskflow\", port mapping 5433:5432), a hybrid REST + some GraphQL endpoints (REST uses {\"data\", \"meta\"} wrappers and cursor-based pagination), Ruff (line-length 88), and pytest (coverage fail-under=80).",
+ "golden_answer": "Your backend stack: FastAPI for the framework, PostgreSQL for the database, SQLAlchemy 2.0 with async support, Pydantic v2 for validation, and Alembic for migrations.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits the critical detail that SQLAlchemy is version 2.0 with async support \u2014 it only says \u201cSQLAlchemy.\u201d All other golden items (FastAPI, PostgreSQL, Pydantic v2, and Alembic) are present, but missing the specific SQLAlchemy version/async requirement makes the response incomplete.",
+ "response_duration_ms": 7608.787775039673,
+ "grading_duration_ms": 3512.3045444488525,
+ "total_duration_ms": 11619.037389755249,
+ "response_input_tokens": 589,
+ "response_output_tokens": 423,
+ "completeness_input_tokens": 1146,
+ "completeness_output_tokens": 341,
+ "grading_input_tokens": 616,
+ "grading_output_tokens": 150,
+ "total_input_tokens": 2351,
+ "total_output_tokens": 914
+ },
+ {
+ "question": "What's my complete logging and monitoring setup?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nOnly a summary of the full stack trace should be logged at the WARNING level. (Date range: 2024-03-19T10:31:00Z - present)\n\nThe full stack trace must be logged at the ERROR level. (Date range: 2024-03-19T10:31:00Z - present)\n\nMarcus Chen requires implementing structured JSON logging for request tracing. (Date range: 2024-03-19T10:30:00Z - present)\n\nAssistant is monitoring the status of CI (Date range: 2024-03-18T09:17:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: logging\nLabels: Topic\nSummary: Marcus Chen requested structured JSON logging with correlation IDs for task sharing endpoint. Logging now uses full stack traces at ERROR level and summaries at WARNING level.\n\nName: Sentry error tracking\nLabels: Topic\nSummary: Marcus Chen requested Sentry error tracking for the task sharing endpoint, structured JSON logging with correlation IDs, and defining log levels (full stack trace at ERROR, summary at WARNING).\n\nName: structured JSON logging\nLabels: Topic\nSummary: Marcus Chen requested structured JSON logging with correlation IDs, which was implemented. He later specified logging full stack traces at ERROR level and summaries at WARNING level, and that print() should not be used in production.\n\nName: Python's logger module\nLabels: Entity\nSummary: The logging implementation for the task sharing endpoint now uses Python's logger module instead of print() statements, adhering to production code standards.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.857377Z) Added Sentry.capture_exception() calls in the error handlers. Updated logging to use structured JSON format with correlation_id field in every log entry.\n(2025-12-04T",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2593,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 503.7834644317627,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "All five key elements from the golden answer are present in the CONTEXT: Sentry for error tracking is mentioned (including added Sentry.capture_exception()), structured JSON logging is specified and implemented, correlation_id/correlation IDs for request tracing are present, full stack traces at ERROR level are specified, and summaries at WARNING level are specified. The facts, entities, and episodes explicitly reference these items, so the context contains sufficient information to answer the question fully.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "Sentry for error tracking",
+ "Structured JSON logging",
+ "Correlation IDs for request tracing",
+ "Full stack traces logged at ERROR level",
+ "Summaries logged at WARNING level"
+ ],
+ "completeness_duration_ms": 5951.873540878296,
+ "answer": "Your setup uses structured JSON logging with a correlation_id on every entry (implemented via Python's logging module \u2014 no print()), logs full stack traces at ERROR and summaries at WARNING, includes Sentry error tracking (Sentry.capture_exception() in the task-sharing error handlers), and I'm monitoring CI status.",
+ "golden_answer": "Your monitoring setup: Sentry for error tracking, structured JSON logging, correlation IDs for request tracing, full stack traces at ERROR level, and summaries at WARNING level.",
+ "answer_grade": true,
+ "answer_reasoning": "The AI response includes all essential elements from the golden answer: Sentry for error tracking, structured JSON logging, correlation IDs on every entry (request tracing), full stack traces at ERROR level, and summaries at WARNING level. Additional details (Python logging, CI monitoring) do not remove any required information.",
+ "response_duration_ms": 5951.874017715454,
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+ "total_duration_ms": 10117.876052856445,
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+ "completeness_output_tokens": 215,
+ "grading_input_tokens": 571,
+ "grading_output_tokens": 206,
+ "total_input_tokens": 2202,
+ "total_output_tokens": 742
+ },
+ {
+ "question": "What are all my code quality pet peeves to avoid?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen considers console.log statements to be pet peeves and requests their removal. (Date range: 2024-03-18T15:01:00Z - present)\n\nMarcus Chen considers 'any' types in TypeScript to be pet peeves and requests replacement. (Date range: 2024-03-18T15:01:00Z - present)\n\nThe Python code style conventions mandate the use of snake_case for function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nAll Python code requires the presence of type hints. (Date range: 2024-03-21T11:01:00Z - 2024-03-21T11:01:30Z)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: pre-commit hooks\nLabels: Topic\nSummary: Pre-commit hooks catch violations of Python style conventions, including the 88-character line limit enforced by ruff and Black.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\nName: type hints\nLabels: Entity\nSummary: Marcus Chen required adding type hints to all Python code, which the assistant implemented in task_categorizer.py using Pydantic v2 models.\n\nName: production Python code\nLabels: Topic\nSummary: Marcus Chen specified production Python code standards: use logger module over print(), log full stack traces at ERROR level, and summaries at WARNING level.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.946164Z) Good. I do my code reviews first thing in the morning so he can expect feedback then. I usually review PRs between 10am when I start and standup at 10:30am.\n(2025-12-04T02:42:44.912876Z) Updated the endpoint with proper error handling. Added TaskFlowErro",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2649,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 511.399507522583,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of Marcus Chen's code-quality pet peeves: banning console.log, avoiding 'any' in TypeScript, and requiring use of logger instead of print() in production Python. However, it does not mention two items from the golden answer: avoiding hardcoded secrets and disallowing SELECT * in database queries. Because those key elements are missing, the context is incomplete for fully reproducing the golden answer.",
+ "completeness_missing_elements": [
+ "Never hardcode secrets",
+ "No SELECT * in database queries"
+ ],
+ "completeness_present_elements": [
+ "Never use 'any' type in TypeScript",
+ "No console.log in committed code",
+ "No print() in production Python code (use logger)"
+ ],
+ "completeness_duration_ms": 11099.631071090698,
+ "answer": "Avoid console.log statements, TypeScript 'any' types, catching generic Exceptions (instead catch specific exceptions, log and re\u2011raise), using print() instead of the logger (log full stack traces at ERROR and summaries at WARNING), follow Python style (snake_case for functions), and obey pre-commit rules like the 88\u2011character line limit.",
+ "golden_answer": "Your pet peeves: never use the 'any' type in TypeScript, no print() in production Python code, never hardcode secrets, no SELECT * in database queries, and no console.log in committed code.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits several critical items from the golden answer. It does include avoiding console.log, TypeScript 'any', and using print() in production, but it does NOT mention never hardcoding secrets and does NOT mention avoiding SELECT * in database queries. Therefore it fails to contain all essential information.",
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+ "grading_duration_ms": 4540.846109390259,
+ "total_duration_ms": 16151.879072189331,
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+ "response_output_tokens": 716,
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+ "completeness_output_tokens": 220,
+ "grading_input_tokens": 597,
+ "grading_output_tokens": 207,
+ "total_input_tokens": 2345,
+ "total_output_tokens": 1143
+ },
+ {
+ "question": "Who are all the people involved in code reviews and what do they review?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nPriya Patel reviews all infrastructure and DevOps changes. (Date range: 2024-03-19T14:02:00Z - present)\n\nJake Morrison will review the frontend PR. (Date range: 2024-03-18T15:03:00Z - present)\n\nMarcus Chen performs code reviews first thing in the morning. (Date range: 2024-03-23T15:03:00Z - 2024-03-23T15:03:30Z)\n\nThe Assistant pushed fixes and made the Pull Request ready for Jake Morrison's review. (Date range: 2024-03-18T15:03:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Priya\nLabels: Entity\nSummary: Priya Patel reviews all infrastructure and DevOps changes for Marcus Chen and was tagged on the ECS deployment PR for visibility.\n\nName: Priya Patel\nLabels: Entity\nSummary: Priya Patel is the person who reviews all infrastructure and DevOps changes, as mentioned by Marcus Chen regarding a deployment.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: Python code style conventions\nLabels: Topic\nSummary: Marcus Chen prefers specific exception handling over catching generic Exceptions, requiring logging and re-raising if caught. He reviews PRs between 10am and 10:30am.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:46.655888Z) Pushed the fixes. PR is ready for Jake's review. I've added comments inline explaining the changes so Tyler can see what was wrong.\n(2025-12-04T02:42:46.946164Z) Good. I do my code reviews first thing in the morning so he can expect feedback then. I usually review PRs between 10am when I start and standup at 10:30am.\n(2025-12-04T02:42:47.524213Z) Yeah deploying on Friday is",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2409,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 576.8985748291016,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes several of the people and review responsibilities from the golden answer but is missing key elements. Priya Patel reviewing infrastructure/DevOps and Jake Morrison reviewing frontend PRs are explicitly present. Tyler is mentioned in episodes, but the context does not explicitly state that \"you\" mentor Tyler (the mentoring relationship is not documented). Sarah Kim (backend reviewer) is not mentioned at all. The requirement that all PRs require at least one approval is also absent. Therefore the context is incomplete for fully reproducing the golden answer.",
+ "completeness_missing_elements": [
+ "Sarah Kim reviews backend PRs",
+ "Explicit statement that you mentor junior dev Tyler",
+ "Statement that all PRs require at least one approval"
+ ],
+ "completeness_present_elements": [
+ "Priya Patel reviews infrastructure/DevOps changes",
+ "Jake Morrison reviews frontend PRs",
+ "Tyler is mentioned/seen in PR comments (but mentoring not explicit)",
+ "Assistant pushed fixes and prepared PR for Jake's review"
+ ],
+ "completeness_duration_ms": 9092.873334884644,
+ "answer": "Priya Patel \u2014 infrastructure/DevOps changes (including deployment/ECS PRs); Jake Morrison \u2014 frontend PRs; Marcus Chen \u2014 general code reviews (reviews PRs first thing in the morning, ~10:00\u201310:30).",
+ "golden_answer": "Your review team: Sarah Kim reviews backend PRs, Jake Morrison reviews frontend PRs, Priya Patel reviews infrastructure/DevOps changes, and you mentor junior dev Tyler. All PRs require at least one approval.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits multiple essential items from the golden answer: it does not mention Sarah Kim (backend PR reviewer), does not mention Tyler (junior dev you mentor), and does not state that all PRs require at least one approval. It also replaces or alters the team by introducing Marcus Chen who is not in the golden answer. Therefore it fails to include all required information.",
+ "response_duration_ms": 9092.873573303223,
+ "grading_duration_ms": 3761.0886096954346,
+ "total_duration_ms": 13430.862188339233,
+ "response_input_tokens": 610,
+ "response_output_tokens": 631,
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+ "completeness_output_tokens": 335,
+ "grading_input_tokens": 579,
+ "grading_output_tokens": 223,
+ "total_input_tokens": 2359,
+ "total_output_tokens": 1189
+ },
+ {
+ "question": "What are all my file naming conventions across the codebase?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe Python code style conventions specify using snake_case for Python file names and function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nThe Python code style conventions mandate the use of snake_case for function names. (Date range: 2024-03-23T15:00:00Z - present)\n\nMarcus Chen requested the creation of the task-share-card.tsx file, adhering to the kebab-case naming convention. (Date range: 2024-03-17T14:30:00Z - present)\n\nPython conventions specify using snake_case for certain elements. (Date range: 2024-03-23T15:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: task_service.py\nLabels: Document\nSummary: The file task_service.py follows Python code style conventions: snake_case for file names, snake_case for function names, 4-space indentation, and double quotes for strings, as established by Marcus Chen.\n\nName: function names\nLabels: Topic\nSummary: Python code style conventions dictate using snake_case for function names, 4-space indentation, and double quotes for strings.\n\nName: components folder\nLabels: Location\nSummary: Marcus Chen requested creation of a new React component, TaskShareCard.tsx, to be placed in the components folder, using kebab-case naming: task-share-card.tsx.\n\nName: camelCase for function names\nLabels: Preference\nSummary: Marcus Chen, user marcus_chen_001, specified a preference for using camelCase for function names in TypeScript, like handleAcceptShare.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration and workflow conventions for Marcus Chen's development process\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".gitconfig\",\"merge\"",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3046,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 700.9286880493164,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes some of the file-naming conventions from the golden answer\u2014specifically snake_case for Python files and an example/mention of kebab-case for a TypeScript/React filename. However, it does not state the naming pattern for Python test files (test_.py), the React test filename pattern (.test.tsx), nor explicitly state that React component names use PascalCase. Because those elements are missing, the context is incomplete for fully reproducing the golden answer.",
+ "completeness_missing_elements": [
+ "test_.py naming for Python tests",
+ ".test.tsx naming for React tests",
+ "PascalCase for React component names"
+ ],
+ "completeness_present_elements": [
+ "kebab-case for TypeScript/React file names (example: task-share-card.tsx)",
+ "snake_case for Python file names",
+ "snake_case for Python function names",
+ "mention of TypeScript function naming preference (camelCase)"
+ ],
+ "completeness_duration_ms": 8188.811779022217,
+ "answer": "Python files use snake_case (e.g., task_service.py); React/TypeScript component files in the components folder use kebab-case (e.g., task-share-card.tsx).",
+ "golden_answer": "Your file naming: kebab-case for TypeScript files, snake_case for Python files, test_.py for Python tests, .test.tsx for React tests, and PascalCase for React component names.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response only mentions snake_case for Python files and kebab-case for React/TypeScript component files. It omits several essential conventions from the golden answer: kebab-case for TypeScript files (generally), the Python test pattern test_.py, the React test pattern .test.tsx, and PascalCase for React component names. Therefore it is not semantically equivalent.",
+ "response_duration_ms": 8188.812732696533,
+ "grading_duration_ms": 4228.057146072388,
+ "total_duration_ms": 13117.800235748291,
+ "response_input_tokens": 560,
+ "response_output_tokens": 299,
+ "completeness_input_tokens": 1121,
+ "completeness_output_tokens": 525,
+ "grading_input_tokens": 565,
+ "grading_output_tokens": 227,
+ "total_input_tokens": 2246,
+ "total_output_tokens": 1051
+ },
+ {
+ "question": "What's my complete Git commit and branch workflow?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nMarcus Chen includes 'chore' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nMarcus Chen requests that the branch be deleted after the merge is complete. (Date range: 2024-03-18T09:18:00Z - present)\n\nMarcus Chen includes 'docs' as a valid branch and commit type. (Date range: 2025-12-04T02:42:48.304Z - present)\n\nGit configuration conventions are specified in the .gitconfig file. (Date range: 2025-12-04T02:42:48.304Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Git configuration\nLabels: Topic\nSummary: Marcus Chen's .gitconfig uses squash merge strategy, branch naming convention /- with TF prefix, and conventional commit convention. Pre-commit hooks include lint, type-check, and test.\n\nName: chore\nLabels: Topic\nSummary: The term 'chore' is defined as a commit and branch naming convention type for Marcus Chen's development process, according to .gitconfig.\n\nName: the branch\nLabels: Entity\nSummary: The branch, associated with PR \"[TF-247] Add task sharing feature\", will be squash merged after Sarah approves and CI passes, and then deleted.\n\nName: conventional\nLabels: Topic\nSummary: Marcus Chen uses conventional commit convention for git commits, as configured in .gitconfig.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.304022Z) {\"description\":\"Git configuration and workflow conventions for Marcus Chen's development process\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\".gitconfig\",\"merge\":{\"strategy\":\"squash\"},\"branch\":{\"naming_convention\":\"/-\",\"ticket_prefix\":\"TF\",\"types\":[\"feat\",\"fix\",\"refactor\",\"test\",\"docs\",\"chore\"]",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2592,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 569.577693939209,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes most of the workflow elements in the golden answer: conventional commit usage (with types listed), branch naming convention using /- with a TF ticket prefix, a squash merge strategy, and a request to delete branches after merge. However, there is no statement in the provided context that contributors must rebase on main before creating a PR. Because the rebase-before-PR requirement from the golden answer is absent, the context is incomplete relative to the golden answer.",
+ "completeness_missing_elements": [
+ "Rebase on main before creating PR (requirement)"
+ ],
+ "completeness_present_elements": [
+ "Conventional commits (feat:, fix:, etc.)",
+ "Branch naming convention: /- with TF prefix",
+ "Allowed commit/branch types: feat, fix, refactor, test, docs, chore",
+ "Squash merge strategy (squash merges only)",
+ "Delete branches after merge request"
+ ],
+ "completeness_duration_ms": 6606.149435043335,
+ "answer": "Create a branch named /TF-- (types: feat, fix, refactor, test, docs, chore), make conventional commits, run pre-commit hooks (lint, type-check, test), open a PR, wait for CI to pass and Sarah's approval, then squash-merge and delete the branch.",
+ "golden_answer": "Your Git workflow: conventional commits (feat:, fix:, etc.), branch naming as type/TF-ticket-description, squash merges only, delete branches after merge, and always rebase on main before creating PR.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response omits the requirement to always rebase on main before creating a PR. While it includes branch naming, conventional commits, squash-merge, and deleting branches, it fails to mention rebasing on main (a critical step in the golden answer). Therefore it is not semantically equivalent.",
+ "response_duration_ms": 6606.149911880493,
+ "grading_duration_ms": 4981.011867523193,
+ "total_duration_ms": 12156.74090385437,
+ "response_input_tokens": 583,
+ "response_output_tokens": 397,
+ "completeness_input_tokens": 1140,
+ "completeness_output_tokens": 334,
+ "grading_input_tokens": 592,
+ "grading_output_tokens": 206,
+ "total_input_tokens": 2315,
+ "total_output_tokens": 937
+ },
+ {
+ "question": "What's my complete AI and LLM integration stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nOpenAI's GPT-4 API is used for orchestration via LangChain in the AI task categorization feature. (Date range: 2024-03-21T11:00:00Z - present)\n\nThe AI task categorization feature uses OpenAI's GPT-4 API. (Date range: 2024-03-21T11:00:00Z - present)\n\nThe LangChain chain located in src/services/ai/task_categorizer.py calls GPT-4. (Date range: 2024-03-21T11:00:30Z - present)\n\nTaskFlow AI's auth system is using a legacy JWT library. (Date range: 2024-03-20T14:03:00Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: OpenAI's GPT-4 API\nLabels: Entity\nSummary: OpenAI's GPT-4 API, orchestrated via LangChain, is used for AI task categorization (into work, personal, urgent, etc.) and task breakdown recommendations.\n\nName: LangChain\nLabels: Entity\nSummary: LangChain orchestrates AI task categorization (using GPT-4 via LangChain) and task breakdown recommendations; type hints are required in its Python code in src/services/ai/task_categorizer.py.\n\nName: src/services/ai/task_categorizer.py\nLabels: Document\nSummary: The file src/services/ai/task_categorizer.py uses LangChain and GPT-4 for task categorization, priority suggestions, and task breakdown recommendations. Type hints were added to its Python functions.\n\nName: AI task categorization feature\nLabels: Topic\nSummary: The AI task categorization feature needs improvement. It uses GPT-4 via LangChain, is in src/services/ai/task_categorizer.py, categorizes tasks, suggests priority, and is now required to have type hints.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.857377Z) Good. For logging levels, log the full stack trace at ERROR level and just a summary at WARNING level. That's our",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2676,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 647.4380493164062,
+ "completeness_grade": "COMPLETE",
+ "completeness_reasoning": "The CONTEXT explicitly states that OpenAI's GPT-4 API is used (present), that LangChain orchestrates GPT-4 (present), and that this setup is used for AI task categorization, priority suggestions, and task breakdown recommendations (all present in FACTS, ENTITIES, and file summaries). These elements match the GOLDEN ANSWER precisely, so the context contains all information needed to produce that answer.",
+ "completeness_missing_elements": [],
+ "completeness_present_elements": [
+ "OpenAI GPT-4 API is used",
+ "LangChain orchestrates GPT-4",
+ "Used for AI task categorization",
+ "Provides priority suggestions",
+ "Provides task breakdown recommendations",
+ "Implementation in src/services/ai/task_categorizer.py"
+ ],
+ "completeness_duration_ms": 5666.846752166748,
+ "answer": "Your AI/LLM stack: OpenAI's GPT-4 API orchestrated via LangChain (implemented in src/services/ai/task_categorizer.py) powering the AI task categorization and task-breakdown features; the system auth uses a legacy JWT library.",
+ "golden_answer": "Your AI stack: OpenAI GPT-4 API for the LLM, LangChain for orchestration, used for automatic task categorization, priority suggestions, and task breakdown recommendations.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions OpenAI GPT-4 API and LangChain and states it powers task categorization and task-breakdown features, but it omits the golden answer's mention of 'priority suggestions.' Because a key use case from the golden answer (priority suggestions) is missing, the response is not semantically equivalent.",
+ "response_duration_ms": 5666.847229003906,
+ "grading_duration_ms": 4557.88516998291,
+ "total_duration_ms": 10872.171878814697,
+ "response_input_tokens": 599,
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+ "grading_input_tokens": 570,
+ "grading_output_tokens": 210,
+ "total_input_tokens": 2320,
+ "total_output_tokens": 876
+ },
+ {
+ "question": "What's my complete infrastructure and deployment stack?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nPriya Patel reviews all infrastructure and DevOps changes. (Date range: 2024-03-19T14:02:00Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\nThe type-check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - 2025-12-04T02:42:48.304Z)\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Priya Patel\nLabels: Entity\nSummary: Priya Patel is the person who reviews all infrastructure and DevOps changes, as mentioned by Marcus Chen regarding a deployment.\n\nName: deployment PR\nLabels: Document\nSummary: Priya Patel reviews the deployment PR for infrastructure/DevOps changes triggered on Tuesday; deployment is rolling out to ECS.\n\nName: Priya\nLabels: Entity\nSummary: Priya Patel reviews all infrastructure and DevOps changes for Marcus Chen and was tagged on the ECS deployment PR for visibility.\n\nName: Docker\nLabels: Entity\nSummary: Marcus Chen confirmed the Docker image builds successfully and was pushed to ECR, enabling deployment via GitHub Actions.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:45.857377Z) Good. For logging levels, log the full stack trace at ERROR level and just a summary at WARNING level. That's our standard pattern.\n(2025-12-04T02:42:47.524213Z) Docker build completed successfully. Image pushed to ECR. Ready to trigger the ECS deployment. Good thing it's Tuesday - I remember you never deploy on Fridays.\n(2025-12-04T02:42:47.524213Z) Yeah deploying on Friday is asking for trouble. Trigger the deploy but let Priya Patel know - she reviews all infrastructure and DevOps change",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2188,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 647.4521160125732,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context explicitly confirms Docker (image build and push to ECR), AWS ECS (deployment to ECS), and GitHub Actions (CI pipeline reports via GitHub Actions). However, there is no mention of LaunchDarkly or Sentry anywhere in the provided context, so the full infrastructure and deployment stack as given in the golden answer cannot be reconstructed from the context alone.",
+ "completeness_missing_elements": [
+ "LaunchDarkly (feature flags)",
+ "Sentry (error monitoring)"
+ ],
+ "completeness_present_elements": [
+ "Docker (containerization, image built and pushed to ECR)",
+ "AWS ECS (deployment target)",
+ "GitHub Actions (CI pipeline/CI status)",
+ "Priya Patel reviews infrastructure/DevOps changes"
+ ],
+ "completeness_duration_ms": 4734.630107879639,
+ "answer": "Your stack uses GitHub Actions for CI, Docker images built and pushed to Amazon ECR, deployed to Amazon ECS, with infrastructure/DevOps changes reviewed via a deployment PR by Priya Patel.",
+ "golden_answer": "Your infrastructure: Docker for containerization, AWS ECS for deployment, GitHub Actions for CI/CD, LaunchDarkly for feature flags, and Sentry for error monitoring.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response mentions GitHub Actions, Docker, and AWS ECS (and ECR), but it omits LaunchDarkly (feature flags) and Sentry (error monitoring). Because it is missing these essential components from the golden answer, it is not semantically equivalent.",
+ "response_duration_ms": 4734.630584716797,
+ "grading_duration_ms": 3375.577211380005,
+ "total_duration_ms": 8757.660865783691,
+ "response_input_tokens": 591,
+ "response_output_tokens": 238,
+ "completeness_input_tokens": 1141,
+ "completeness_output_tokens": 225,
+ "grading_input_tokens": 553,
+ "grading_output_tokens": 137,
+ "total_input_tokens": 2285,
+ "total_output_tokens": 600
+ },
+ {
+ "question": "What's the current state of the project and known issues?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\nThe lint check passed in the CI pipeline (Date range: 2024-03-19T14:00:30Z - present)\n\nThe CI pipeline reports its status via GitHub Actions (Date range: 2024-03-19T14:00:30Z - present)\n\nSome endpoints were migrated to GraphQL, establishing a hybrid approach, as of the current time. (Date range: 2024-03-22T10:03:00Z - present)\n\nThe CI pipeline resulted in a ready Build artifact (Date range: 2024-03-19T14:00:30Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: Zustand\nLabels: Topic\nSummary: Zustand version ^4.3.0 is a dependency in Marcus Chen's taskflow-frontend project, used alongside TanStack Query. It should manage filter/sort UI state in TaskList.\n\nName: bug\nLabels: Entity\nSummary: Marcus Chen identified a bug where a PATCH request returned 500 instead of 200, located in task_service.py (priority validation). He requested a fix and linting review with ruff; the issue is resolved.\n\nName: alembic\nLabels: Entity\nSummary: Alembic (version >=1.11) is a dependency for Marcus Chen's taskflow-api Python project configuration defined in pyproject.toml.\n\nName: taskflow_dev\nLabels: Entity\nSummary: The entity 'taskflow_dev' is the PostgreSQL database name specified in Marcus Chen's docker-compose.yml configuration for the taskflow-api project.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.28694Z) {\"description\":\"Python project configuration from pyproject.toml for Marcus Chen's TaskFlow backend\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"pyproject.toml\",\"project\":{\"name\":\"taskflow-api\",\"requires-python\":\">=3.11\"},\"tool\":{\"ruff\":{\"line-length\":88,\"select\":[\"E\",\"F\",\"I\"],\"fixable\":[\"ALL\"]},\"pytest\":{\"minversion\":\"7.",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 2615,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 445.33801078796387,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes one of the key items from the golden answer (the hybrid REST/GraphQL migration). However it lacks most other critical details required to fully answer the question: there is no mention of the investor demo date, auth system needing refactor or use of a legacy JWT library, task list performance issues with >1000 tasks, or the current sprint focus on collaboration features. Therefore the context is only partially sufficient.",
+ "completeness_missing_elements": [
+ "Investor demo day on the 15th of next month",
+ "Auth system needs refactoring (legacy JWT library)",
+ "Task list queries slow with over 1000 tasks",
+ "Current sprint focuses on collaboration features"
+ ],
+ "completeness_present_elements": [
+ "Some endpoints were migrated to GraphQL, establishing a hybrid approach"
+ ],
+ "completeness_duration_ms": 6993.707895278931,
+ "answer": "CI is green \u2014 the lint check passed and GitHub Actions produced a ready build artifact, and some endpoints have been migrated to GraphQL creating a hybrid REST/GraphQL approach. \n\nKnown items: a PATCH bug in task_service.py (priority validation) was identified and has been fixed; frontend uses Zustand (^4.3.0), backend lists Alembic (>=1.11) as a dependency, and the dev database is named taskflow_dev.",
+ "golden_answer": "Current project state: investor demo day is on the 15th of next month, the auth system needs refactoring (using legacy JWT library), task list queries are slow with over 1000 tasks, you recently migrated to a hybrid REST/GraphQL approach, and the current sprint focuses on collaboration features.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response only mentions the hybrid REST/GraphQL migration. It omits multiple essential items from the golden answer: the investor demo day on the 15th of next month; the auth system needs refactoring and uses a legacy JWT library; task list queries are slow with over 1000 tasks; and the current sprint is focused on collaboration features. Therefore it is not semantically equivalent.",
+ "response_duration_ms": 6993.70813369751,
+ "grading_duration_ms": 3598.5708236694336,
+ "total_duration_ms": 11037.618637084961,
+ "response_input_tokens": 600,
+ "response_output_tokens": 483,
+ "completeness_input_tokens": 1178,
+ "completeness_output_tokens": 233,
+ "grading_input_tokens": 637,
+ "grading_output_tokens": 226,
+ "total_input_tokens": 2415,
+ "total_output_tokens": 942
+ },
+ {
+ "question": "What are all the tools and configs in my development environment?",
+ "category": "hard",
+ "context": "FACTS, ENTITIES, and EPISODES represent relevant context to the current conversation.\n\n# These are the most relevant facts\n# Facts ending in \"present\" are currently valid\n# Facts with a past end date are NO LONGER VALID.\n\n.env.local contains all the local development environment variables. (Date range: 2024-03-20T09:03:00Z - present)\n\n.env.local stores all our local dev config. (Date range: 2024-03-20T09:03:00Z - present)\n\nThe typescript configuration section exists in .vscode/settings.json (Date range: 2025-12-04T02:42:48.308Z - present)\n\nThe postgres service uses 'local_dev_password' as the password environment variable. (Date range: 2025-12-04T02:42:48.297Z - present)\n\n\n\n# These are the most relevant entities (people, locations, organizations, items, and more).\n\nName: local dev config\nLabels: Topic\nSummary: The local dev config uses the .env.local file, which is gitignored for keeping secrets local, set up after configuring PostgreSQL on port 5433 and installing uv and pnpm.\n\nName: MacBook\nLabels: Entity\nSummary: Marcus Chen is setting up a new MacBook for development, needing VS Code settings backup (vim.enable: true) and iTerm2/zsh configs verified, and plans to set up uv for Python management.\n\nName: oh-my-zsh\nLabels: Entity\nSummary: Marcus Chen uses oh-my-zsh with iTerm2 and zsh, confirming his shell config should be set up during his new MacBook development environment configuration.\n\nName: docker-compose.yml\nLabels: Document\nSummary: Marcus Chen's docker-compose.yml uses version 3.8 for local development, configuring a PostgreSQL 15 service exposing port 5433:5432, setting database 'taskflow_dev' for user 'taskflow'.\n\n\n\n# These are the most relevant episodes\n\n(2025-12-04T02:42:48.297765Z) {\"description\":\"Docker Compose configuration for Marcus Chen's local development database setup\",\"user_first_name\":\"Marcus\",\"user_last_name\":\"Chen\",\"source\":\"docker-compose.yml\",\"version\":\"3.8\",\"services\":{\"postgres\":{\"image\":\"",
+ "context_truncated": true,
+ "context_timed_out": false,
+ "context_original_chars": 3100,
+ "context_final_chars": 2000,
+ "context_construction_duration_ms": 647.3557949066162,
+ "completeness_grade": "PARTIAL",
+ "completeness_reasoning": "The context includes most of the items from the golden answer: .env.local for local env variables, VS Code vim setting, iTerm2 with zsh/oh-my-zsh, uv for Python, and pnpm for Node are all mentioned. However, there is no mention of pre-commit hooks for linting/formatting (pre-commit) in the provided context, so that critical element is missing. Therefore the context is incomplete for fully reproducing the golden answer.",
+ "completeness_missing_elements": [
+ "pre-commit hooks for linting and formatting"
+ ],
+ "completeness_present_elements": [
+ ".env.local for local environment variables",
+ "VS Code vim keybinding (vim.enable: true)",
+ "iTerm2 with zsh",
+ "oh-my-zsh",
+ "uv for Python",
+ "pnpm for Node"
+ ],
+ "completeness_duration_ms": 8969.096183776855,
+ "answer": "Your environment includes .env.local (gitignored) for local dev variables, .vscode/settings.json with a TypeScript section and vim.enable: true, docker-compose.yml (version 3.8) running PostgreSQL 15 exposing 5433:5432 with database taskflow_dev and user taskflow (password from env local_dev_password), plus tools: uv (Python manager), pnpm, VS Code, iTerm2/zsh with oh-my-zsh.",
+ "golden_answer": "Your dev environment: VS Code with Vim keybindings, iTerm2 with zsh and oh-my-zsh, uv for Python, pnpm for Node, pre-commit hooks for linting and formatting, and .env.local for local environment variables.",
+ "answer_grade": false,
+ "answer_reasoning": "The AI response includes .env.local, VS Code with Vim keybindings (via .vscode/settings.json vim.enable: true), iTerm2 with zsh and oh-my-zsh, uv, and pnpm \u2014 but it omits pre-commit hooks for linting and formatting from the golden answer, so it is not fully equivalent.",
+ "response_duration_ms": 8969.096660614014,
+ "grading_duration_ms": 3808.2826137542725,
+ "total_duration_ms": 13424.736499786377,
+ "response_input_tokens": 584,
+ "response_output_tokens": 613,
+ "completeness_input_tokens": 1151,
+ "completeness_output_tokens": 306,
+ "grading_input_tokens": 629,
+ "grading_output_tokens": 215,
+ "total_input_tokens": 2364,
+ "total_output_tokens": 1134
+ }
+ ]
+ }
+}
\ No newline at end of file
diff --git a/zep-eval-harness/zep_evaluate.py b/zep-eval-harness/zep_evaluate.py
index 583aa29..32398a6 100644
--- a/zep-eval-harness/zep_evaluate.py
+++ b/zep-eval-harness/zep_evaluate.py
@@ -110,9 +110,9 @@ async def retry_with_exponential_backoff(
# OK to change - Search configuration
-FACTS_LIMIT = 5 # Number of facts (edges) to return
-ENTITIES_LIMIT = 5 # Number of entities (nodes) to return
-EPISODES_LIMIT = 5 # Number of episodes to return (when enabled)
+FACTS_LIMIT = 4 # Number of facts (edges) to return
+ENTITIES_LIMIT = 4 # Number of entities (nodes) to return
+EPISODES_LIMIT = 4 # Number of episodes to return (when enabled)
# DO NOT CHANGE - Context truncation and latency configuration
CONTEXT_CHAR_LIMIT = 2000 # Maximum characters for context block (0 = no limit)