How to change top_p in ChatOpenAI

[SpaceDandy13]

I couldn't find the top_p parameter in class ChatOpenAI. Could anyone provide insights or guidance on how to modify this?

[dosubot[bot]]

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Hey there, @SpaceDandy13! 👋 I'm Dosu, your friendly bot helper. I'm here to assist you with bugs, answer your questions, and guide you towards becoming a contributor while the human maintainers are busy. Just think of me as your personal guide in the world of LangChain. Let's tackle this coding journey together, shall we? 😊🚀

To modify the top_p parameter in the ChatOpenAI class in LangChain, you can pass it as a key-value pair in the model_kwargs dictionary when creating an instance of the ChatOpenAI class. The model_kwargs dictionary holds any model parameters valid for the create call that are not explicitly specified in the class.

Here is an example of how you can do this:

from langchain_community.chat_models import ChatOpenAI

openai = ChatOpenAI(model_name="gpt-3.5-turbo", model_kwargs={"top_p": 0.9})

In this example, the top_p parameter is set to 0.9. You can replace 0.9 with any value you want to use for the top_p parameter.

The ChatOpenAI class in LangChain does accept a model_kwargs parameter during initialization. This parameter is used to store extra keyword arguments that are not explicitly defined in the class. This is demonstrated in the test_chat_openai_extra_kwargs test function in the test_openai.py file.

As for the top_p parameter, it's a parameter used in some language models to control the randomness of predictions by limiting the cumulative probability of the highest probability tokens considered for a prediction. However, I couldn't find specific documentation about it in the LangChain repository. If you need more information about how it affects the behavior of the ChatOpenAI class in LangChain, you might need to refer to the documentation of the underlying language model you're using.

I hope this helps! If you have any other questions, feel free to ask.

Best,
Dosu

Sources

• libs/community/langchain_community/chat_models/openai.py
• libs/langchain/tests/integration_tests/chat_models/test_openai.py

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