agent_llm_parsingTier 1 · 70% confidence

ai-agents-agent-llm-parsing-using-a-non-openai-llm-e-g-huggingface-flan-t5-or--d5b087ae

agent: ai_agents

When does this happen?

IF Using a non-OpenAI LLM (e.g., HuggingFace Flan-T5 or Bloom) with the conversational-react-description agent causes a ValueError because the LLM output does not match the expected Action/Action Input format.

How others solved it

THEN Switch to an OpenAI model or change the agent type to one that does not require structured output (e.g., 'zero-shot-react-description' with proper output parsing). Alternatively, implement a custom output parser that transforms the model's natural language response into the required action format.

agent_chain = initialize_agent(tools=tools, llm=HuggingFaceHub(repo_id='google/flan-t5-xl'), agent='conversational-react-description', memory=memory, verbose=False)
# This raises: ValueError: Could not parse LLM output: 'Assistant, how can I help you today?'

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