feat: separate agent payload from hivemind payload! #40
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WalkthroughA new Pydantic model, Changes
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Actionable comments posted: 1
🧹 Nitpick comments (1)
tasks/schema.py (1)
11-14: Description string joins words without a space
"non-relevant retrieved information" "having this, ..."is implicitly concatenated, but the first literal is missing a trailing space – the final docstring reads “informationhaving”.
This is a minor polish issue yet will surface in generated docs / OpenAPI.- "skip answering questions with non-relevant retrieved information" - "having this, it could provide `None` for response and source_nodes" + "skip answering questions with non-relevant retrieved information " + "having this, it could provide `None` for response and source_nodes"
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📒 Files selected for processing (2)
tasks/agent.py(1 hunks)tasks/schema.py(1 hunks)
🧰 Additional context used
🪛 Pylint (3.3.7)
tasks/schema.py
[refactor] 4-4: Too few public methods (0/2)
(R0903)
tasks/agent.py
[refactor] 17-17: Too many branches (13/12)
(R0912)
⏰ Context from checks skipped due to timeout of 90000ms (2)
- GitHub Check: ci / lint / Lint
- GitHub Check: ci / test / Test
🔇 Additional comments (2)
tasks/schema.py (1)
16-19:chat_idshould be Optional to reflect “may be empty” semanticsThe default empty string forces callers to pass some string, and makes it impossible to express “no chat id” via
None.
Usingstr | None(orOptional[str]) preserves intent and lets Pydantic omit the field when absent.- chat_id: str = Field( - default="", + chat_id: str | None = Field( + default=None, description="the chat id to use for answering", )This also removes the need for
hasattr(payload, "chat_id")checks downstream.
[ suggest_essential_refactor ]tasks/agent.py (1)
13-14: Inconsistent payload models imported – dead code or future-proofing?
AgentQueryPayloadis imported butHivemindQueryPayloadis still imported as well, leading to two divergent payload models in the same file. Unless both are intentionally kept, this can confuse maintainers and typing tools.
| payload: AgentQueryPayload, | ||
| ) -> str | None: |
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Activity accepts AgentQueryPayload but workflow passes HivemindQueryPayload — type contract broken
run_hivemind_agent_activity now expects AgentQueryPayload, yet the workflow below still calls it with a HivemindQueryPayload instance (see lines 219-224). At runtime this “works” thanks to duck typing, but:
• type checkers will flag an error
• field sets can silently diverge, causing subtle bugs
Align both sides to the same model.
- async def run(self, payload: HivemindQueryPayload) -> str | None:
+ async def run(self, payload: AgentQueryPayload) -> str | None:and remove the stale HivemindQueryPayload import if no longer needed.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| payload: AgentQueryPayload, | |
| ) -> str | None: | |
| # tasks/agent.py | |
| # Remove this import if HivemindQueryPayload is no longer used elsewhere | |
| -from your.payloads.module import HivemindQueryPayload | |
| from your.payloads.module import AgentQueryPayload | |
| class HivemindAgentWorkflow: | |
| - async def run(self, payload: HivemindQueryPayload) -> str | None: | |
| + async def run(self, payload: AgentQueryPayload) -> str | None: | |
| ... |
🤖 Prompt for AI Agents
In tasks/agent.py around lines 18-19 and also lines 219-224, the function
run_hivemind_agent_activity is declared to accept an AgentQueryPayload but is
called with a HivemindQueryPayload, causing a type mismatch. To fix this, update
the workflow code to pass an AgentQueryPayload instance instead of
HivemindQueryPayload, ensuring both sides use the same payload type. Also,
remove the import of HivemindQueryPayload if it is no longer used anywhere in
the file.
Summary by CodeRabbit
New Features
Documentation