How can I obtain the final Prompt that is inputted into ChatGPT?

[GaoJianwei-CTW]

Issue you'd like to raise.

I use the ChatOpenAI and set the verbose be true, but I think this can only get the format prompt, not the final prompt.

How can i get the final prompt that is inputted into ChatGPT?

Thanks for your time.

Suggestion:

No response

[votrumar]

🤖 AI-generated response by Steercode - chat with Langchain codebase Disclaimer: SteerCode Chat may provide inaccurate information about the Langchain codebase.

In the current implementation, the final prompt is not directly exposed outside the classes and functions. However, you can modify the code to print or return the final prompt before it is inputted into ChatGPT. In the GenerativeAgentMemory class, you can modify the chain method to print the final prompt before creating a new LLMChain object.

Here's an example of how you can modify the chain method to print the final prompt:

def chain(self, prompt: PromptTemplate) -> LLMChain:
    final_prompt = prompt.format()
    print("Final Prompt:", final_prompt)
    return LLMChain(llm=self.llm, prompt=prompt, verbose=self.verbose)

This will print the final prompt each time the chain method is called. Keep in mind that this is a simple solution, and depending on your use case, you may want to implement a more elegant way to access the final prompt.

You can continue the conversation at https://steercode.com/

[dosubot[bot]]

Hi, @GaoJianwei-CTW! I'm Dosu, and I'm here to help the LangChain team manage their backlog. I wanted to let you know that we are marking this issue as stale.

From what I understand, you were seeking guidance on how to obtain the final prompt used in ChatGPT when using the ChatOpenAI API with verbose set to true. User "votrumar" suggested modifying the code to print or return the final prompt before it is inputted into ChatGPT, and they provided an example of how to do this.

I wanted to check with you if this issue is still relevant to the latest version of the LangChain repository. If it is, please let the LangChain team know by commenting on the issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days.

Thank you for your contribution, and please don't hesitate to reach out if you have any further questions or concerns!