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your competitive advantage.
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' occurs when using a union type for chat_history in InputChat model with pydantic v2, even when only system/human messages are present.
THENChange the chat_history field type from a strict union of specific message types to a plain List or List[BaseMessage] to avoid pydantic v2 validation errors. For example, use `chat_history: List = Field(...)` instead of `List[Union[HumanMessage, AIMessage, SystemMessage, FunctionMessage, ToolMessage]]`.
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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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