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pydantic_validation_tool_call
ai-agents-pydantic-validation--when-using-langserve-with-an-inputchat-model-that--5de03e16
IFWhen using langserve with an InputChat model that defines chat_history as List[Union[...]] of message types, a KeyError 'tool_call_id' is raised on parsing if no ToolMessage is present in the history.
THENReplace the typed Union list with a plain List field in your InputChat Pydantic model (e.g., chat_history: List = Field(...)). This bypasses the overly strict pydantic v2 union validation that expects a 'tool_call_id' key from non-tool messages. The underlying fix in langchain_core's ToolMessage.coerce_args is to use values.get('tool_call_id') instead of values['tool_call_id'].
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