agent_output_parsingTier 1 · 70% confidence
ai-agents-agent-output-parsing-using-a-huggingface-model-e-g-google-flan-t5-xl-wi-32dcd77f
agent: ai_agents
When does this happen?
IF Using a HuggingFace model (e.g., google/flan-t5-xl) with the conversational-react-description agent causes ValueError: Could not parse LLM output because the model's response does not match the expected format.
How others solved it
THEN Modify the system prompt to instruct the model to output in 'Action: ... Action Input: ...' format, or switch to the 'zero-shot-react-description' agent which has a simpler output parser. If using a custom model, ensure it is fine-tuned to produce structured output matching the parser's expectations.
agent_chain = initialize_agent(tools=tools, llm=HuggingFaceHub(repo_id='google/flan-t5-xl'), agent='conversational-react-description', memory=memory, verbose=False)
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