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llm_output_parsing
ai-agents-llm-output-parsing-when-using-a-react-agent-with-the-hwchase17-react--23aff519
IFWhen using a ReAct agent with the hwchase17/react prompt, the LLM (e.g., Llama3) produces a response containing both an Action and a Final Answer in the same turn, causing ReActSingleInputOutputParser to raise OutputParserException.
THENModify the output parser to handle ambiguous outputs: check for the presence of Final Answer first and return it if found, otherwise parse Action. Alternatively, enforce stricter prompting in the template to instruct the model to never include both (e.g., 'If you have the final answer, output only Final Answer and nothing else'). A custom parser that splits on known delimiters can also be used.
Tier 170%
llm_output_parsing
ai-agents-llm-output-parsing-valueerror-could-not-parse-llm-output-when-using-h-bf128096
IFValueError: Could not parse LLM output when using HuggingFaceHub or Bloom models with conversational-react-description agent.
THENSwitch to an LLM that reliably outputs the required format, such as OpenAI, or customize the agent prompt to include explicit format instructions (e.g., 'Action:', 'Action Input:'). Alternatively, use a different agent type like 'zero-shot-react-description' that may tolerate less structured output.
Tier 170%
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