Hi all. Can we currently use the gpt-4o-

Yes its supported since day 0.
You just need to upgrade the openai llm package:
pip install -U llama-index-llms-openai

Thanks. It worked after your command. But there is a problem: the token counter part shows the error AttributeError: 'ChatCompletion' object has no attribute 'get'

May I see what is your chat completion code?

Are you using Chatcompletion directly? yea hacing more detail on the error or code would be helpful

I solved it by:

pip uninstall llama-index # remove any possible global install
python -m venv venv
source venv/bin/activate
pip install llama-index

@WhiteFang_Jr Can I ask you how the CondensePlusContextChatEngine can only accurately respond to the provided content? I am facing a situation where the RetrieverQueryEngine correctly answers all the content I provide, but the CondensePlusContextChatEngine responds with the same content but with modified wording. How can I limit this since it's not always possible to allow modifications?

CondensePlusContext converts user query based on chat history. I think if you want to pass only your query and dont want to modify it , pass skip_condense=True while instantiating the chat engine

I have tried and found it to be the same. Specifically, my data returns a link, but with the CondensePlusContext, it returns the wrong link, so the correct link cannot be opened.

Is the wording changing again?

Can you check if the nodes retrieved are same now as that of RetrieverQueryEngine

I use the same index and do not modify the nodes inside.

Yea no, I mean your problem statement was that when you used RetrieverQueryEngine the nodes were diff and when you are doing the same with a chat engine the nodes are coming different as it was changing the wording of your query

is that right?

You have a point. I only use one index and there are two ways to use it: RetrieverQueryEngine or CondensePlusContextChatEngine.