error_handlingTier 1 · 70% confidence
ai-agents-error-handling-when-a-task-s-llm-output-fails-pydantic-validation-68491aa0
agent: ai_agents
When does this happen?
IF When a task's LLM output fails Pydantic validation, the error recovery mechanism in converter.py crashes with 'NoneType' object has no attribute 'function_calling_llm' because the agent context is lost.
How others solved it
THEN Modify the `handle_partial_json` call in `to_pydantic` method of `Converter` class (in `converter.py`) to pass the actual `agent` object instead of `None`. This ensures the recovery logic can access the agent's LLM to fix malformed output.
In `converter.py`, line ~40: change `result = handle_partial_json(response, self.model, False, None)` to `result = handle_partial_json(response, self.model, False, self.agent)`.
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