error_handlingTier 1 · 70% confidence
ai-agents-error-handling-when-structured-llm-output-fails-to-parse-the-gene-62654988
agent: ai_agents
When does this happen?
IF When structured LLM output fails to parse, the generic AttributeError 'str' object has no attribute 'model_dump_json' hides the actual Pydantic validation error.
How others solved it
THEN Improve error handling by catching the parsing exception and re-raising the original Pydantic validation error, so developers can see which fields caused the mismatch.
try:
response = sllm.chat(messages)
validated = output_cls.model_validate_json(response.content)
except (ValueError, AttributeError) as e:
raise ValueError(f"Failed to parse LLM response: {response.content}") from eRelated patterns
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