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Sure, looks when it needed to use Azure Open AI, there are some additional parameter (deployment) at the AzureOpenAI client, and get result modifying the llm_utils.py, full operate with Azure Open AI services.
To use Azure OpenAI, at .env file you should have EMBEDDING_OPENAI_API_KEY=<your_key> or CHAT_OPENAI_API_KEY=<your_key>. The base and version can be modified as in the .env.example file. You can see the priority of API key settings on line 314 of llm_utils.py. Also you need to import the environment variables from the .env file.
It's doesn't work if the deployment environment is multitenant over Azure Open AI, simply the client can't connect it. The instructions was made only considering OpenAI api, not for real Azure Environment. The client invocations on the internals URi endpoint are different, the only solution that I found was pass the complete arguments on the client, its the correct way to do it.
📖 Documentation
https://rdagent.readthedocs.io/en/latest/installation_and_configuration.html
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