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AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFKeyError: 'tool_call_id' during Pydantic v2 validation when parsing chat history messages that are not ToolMessage (e.g., HumanMessage, AIMessage) without a tool_call_id field.
THENUpdate the `coerce_args` method in `langchain_core/messages/tool.py` to use `values.get("tool_call_id")` instead of `values["tool_call_id"]` to gracefully handle missing keys. Alternatively, as a temporary workaround, remove the explicit Union type for chat_history in the InputChat Pydantic model (e.g., use `List` instead of `List[Union[...]]`) to bypass strict validation.
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What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
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