How I debug my prompt template are working?

[mraguth]

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Example Code

agent_executor = AgentExecutor(
    agent=agent, 
    tools=tools, 
    max_iterations=20, 
    early_stopping_method="force",   
    allow_dangerous_code=True,
    tune_prompt = tune_prompt,
    full_prompt = full_prompt,
    metadata_prompt = metadata_prompt,
) | (lambda x: x["output"])

Description

I have two questions...is there any downside to have more prompt templates in 'agent_executor'
2nd question: How I debut those prompt templates are really working??? Thanks for your suggestion.

agent_executor = AgentExecutor(
    agent=agent, 
    tools=tools, 
    max_iterations=20, 
    early_stopping_method="force",   
    allow_dangerous_code=True,
    tune_prompt = tune_prompt,
    full_prompt = full_prompt,
    metadata_prompt = metadata_prompt,
) | (lambda x: x["output"])

System Info

Name: langchain
Version: 0.3.2

[dosubot[bot]]

For debugging your prompt templates in agent_executor, you can follow these steps:

1. Check the Prompt Template: Ensure your prompt templates are correctly defined with placeholders for inputs. Verify that tune_prompt, full_prompt, and metadata_prompt are set up properly.

2. Invoke the Agent and Observe Outputs: Use the agent_executor to run a test input and observe the outputs. This helps verify if the agent responds as expected.

3. Use Debugging Tools: Enable debugging to print intermediate steps and outputs. This can be done using set_debug(True) to trace the flow of data.

   from langchain.globals import set_debug
   
   set_debug(True)
   result = agent_executor.invoke({"input": "Test input"})
   print(result["output"])

4. Iterate and Adjust: If the output isn't as expected, adjust the prompt templates or agent configuration and test again.

Regarding the downside of having more prompt templates, I couldn't find specific limitations or performance considerations in the repository. However, managing multiple templates can increase complexity, so ensure they are well-organized and necessary for your use case.

For more detailed guidance, you can refer to the LangChain documentation on debugging ^[1][2].

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