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tool_schema_validation
ai-agents-tool-schema-validati-pydantic-validationerror-when-llm-returns-a-dict-f-c4dc6277
IFPydantic ValidationError when LLM returns a dict for a tool parameter expected to be a string (or other primitive type).
THENEnsure tool parameters are defined with primitive types (e.g., str, int). In the tool function, add type coercion logic (e.g., isinstance check) to safely extract the expected value if the LLM returns a dict or unexpected structure. Also verify the tool schema matches the model's expected format.
Tier 170%
tool_schema_validation
ai-agents-tool-schema-validati-when-using-langchain-s-tool-calling-with-an-llm-if-9d53b553
IFWhen using LangChain's tool calling with an LLM, if a tool parameter is defined without a type hint, the LLM may return a dict instead of a plain string, causing a pydantic ValidationError.
THENDefine tool parameters with explicit type hints, e.g., `category: str` instead of `category`. For complex parameters, use Pydantic BaseModel to define the argument schema. Ensure the tool's argument schema matches the structure the LLM is expected to output.
Tier 170%
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