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pydantic_conversion_error_handling
ai-agents-pydantic-conversion--when-a-task-s-llm-output-continuously-fails-conver-5928723b
IFWhen a task's LLM output continuously fails conversion to a Pydantic model (e.g., due to malformed JSON), the error recovery mechanism crashes with 'NoneType' object has no attribute 'function_calling_llm', providing no clear user guidance.
THENIn crewAI's converter.py, modify the `to_pydantic` method to pass the agent object (instead of None) to `handle_partial_json`. Specifically, change line 42 from `result = handle_partial_json(response, self.model, False, None)` to `result = handle_partial_json(response, self.model, False, self.agent)`. Ensure that the `Converter` class stores and forwards the agent reference so error recovery can access `agent.function_calling_llm` for retry with instructions.
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