It could also be a delay for the service to be ready and servicing requests if it is a new resource you just created. Checking all the URLs and API keys and try after 1h. The other thing is that also try the secondary key, there is once that primary key not working for us but secondary key actually worked.
Failed to call Azure OpenAI API: { "statusCode": 401, "message": "Unauthorized. Access token is missing, invalid, audience is incorrect (https://cognitiveservices.azure.com), or have expired." }
Failed to call Azure OpenAI API: { "statusCode": 401, "message": "Unauthorized. Access token is missing, invalid, audience is incorrect (https://cognitiveservices.azure.com), or have expired." }
Azure OpenAI Service
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Geena Kim 0 Reputation points
2024-11-16T02:35:01.95+00:00 Can someone give an example? I matched the api version the same as the model deployment endpoint's target uri- for example, (Note that the real address is masked with [azureopenai-resourcename] since everyone's case will be different)
https://[azureopenai-resourcename].openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-08-01-previewThen I set the required environment variables like
export AZURE_OPENAI_API_KEY="<replaced with my key>"
export AZURE_OPENAI_ENDPOINT="https://[azureopenai-resourcename].openai.azure.com/"
export OPENAI_API_TYPE="azure"
export OPENAI_API_VERSION="2024-08-01-preview" ## This is to match the api version that shows up in the target uri.
But it still gives the error messages like:
INFO:httpx:HTTP Request: POST https://[azureopenai-resourcename].openai.azure.com//openai/deployments/gpt-4o/chat/completions?api-version=2024-08-01-preview "HTTP/1.1 401 Unauthorized"
Error code: 401 - {'statusCode': 401, 'message': 'Unauthorized. Access token is missing, invalid, audience is incorrect (https://cognitiveservices.azure.com), or have expired.'}
When I use LangChain to load embedding model, it works ok, but while using reranker using gpt model(s) it makes a problem.
I tested with export OPENAI_API_TYPE="openai" and used my personal account (in this case it didn't need any other auth other than OPENAI_API_KEY.
So it seems the langchain's rerank works and somehow it breaks when azure credentials are passed.So other than those envs (AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, OPENAI_API_TYPE, OPENAI_API_VERSION), what "Access token" is required??
And what is https://cognitiveservices.azure.com??
Do we need to set up another endpoint other than the model deployment (as above uri shows)?