Could not parse LLM output Llama 3

[eav-solution]

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Example Code

prompt = hub.pull("hwchase17/structured-chat-agent:ea510f70")
self.agent = create_structured_chat_agent(self.llm.llm, self.tools, self.promptTemplate.getAgentPrompt(self.tools))

Description

Could not parse LLM output: Action: {
'action': 'Final Answer',
'action_input': 'I am an AI, a language model designed to assist and communicate with humans.'
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'get_server_temperature',
'action_input': {}
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'Final Answer',
'action_input': 'I am an artificial intelligence language model trained to process and respond to natural language inputs. I am here to assist and communicate with you in a helpful and informative way.'
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'Final Answer',
'action_input': 'I am an artificial intelligence language model trained to process and respond to natural language inputs. I am here to assist and communicate with you in a helpful and informative way.'
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'get_server_temperature',
'action_input': {}
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'Final Answer',
'action_input': 'I am an artificial intelligence language model trained to process and respond to natural language inputs. I am here to assist and communicate with you in a helpful and informative way, so please feel free to ask me any questions you have or discuss a topic that's on your mind.'
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'get_server_temperature',
'action_input': {}
}
Invalid or incomplete responseCould not parse LLM output: Action: {
'action': 'get_server_temperature',
'action_input': {}
}

System Info

langchain==0.1.16
langchain-community==0.0.33
langchain-core==0.1.43
langchain-experimental==0.0.49
langchain-google-genai==1.0.2
langchain-openai==0.1.3
langchain-text-splitters==0.0.1
langchainhub==0.1.14

linux
python 3.11

[dosubot[bot]]

The issue you're encountering with parsing LLM output in LangChain seems to stem from a mismatch between the expected output format and what's being provided. Specifically, for actions like 'Final Answer' and 'get_server_temperature', LangChain expects a certain JSON structure that includes both an 'action' and an 'action_input' with relevant information.

For the 'get_server_temperature' action, having an empty object {} as 'action_input' is likely causing the parsing issue. Ensure that this action includes valid input, such as the name or identifier of the server whose temperature you're trying to retrieve.

Additionally, verify that the LLM output is correctly formatted to match the expectations of LangChain's JSONAgentOutputParser class. This involves adhering to the ReAct Output Format, which is crucial for the framework to correctly parse the output and decide on the subsequent action.

If you continue to face issues, reviewing the specific output parser classes in the LangChain framework, such as ReActJsonSingleInputOutputParser and JSONAgentOutputParser, might provide further insights into the expected formats and how to structure your LLM output accordingly.

This should help resolve the parsing errors you're experiencing. If you need further assistance or clarification, don't hesitate to ask.

Details

Sources

• Agent Executor stuck in loop
• Langchain ReAct Agent not working properly with Custom LLM and multiple Tools
• Facing issues with LLM output parsing when using tools in conversation
• libs/langchain/langchain/agents/mrkl/output_parser.py
• libs/langchain/langchain/agents/output_parsers/react_single_input.py
• libs/langchain/tests/unit_tests/agents/test_mrkl_output_parser.py
• libs/langchain/langchain/agents/chat/output_parser.py
• libs/langchain/langchain/agents/output_parsers/react_json_single_input.py
• libs/langchain/langchain/agents/output_parsers/json.py

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[eav-solution]

some body please help me

[elizabethbmj]

@eav-solution Did you ever solve this problem?

[wi-ski]

I have seen some of the strangest behavior with llama3 and this library - everything from broken json enclosing syntaxes, even returning the shape of the json schema provided.

You are not alone :)