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Python: Docs could be improved around AzureChatCompletion #285
Description
This page https://learn.microsoft.com/en-us/semantic-kernel/concepts/ai-services/chat-completion/?tabs=csharp-AzureOpenAI%2Cpython-AzureOpenAI%2Cjava-AzureOpenAI&pivots=programming-language-python tells me that I need a deployed model to use chat
chat_completion_service = AzureChatCompletion(
deployment_name="my-deployment",
api_key="my-api-key",
endpoint="my-api-endpoint", # Used to point to your service
service_id="my-service-id", # Optional; for targeting specific services within Semantic Kernel
)
But this notebook
https://github.com/microsoft/semantic-kernel/blob/main/python/samples/getting_started/03-prompt-function-inline.ipynb
shows use of
ai_model_id="gpt-3.5-turbo",
which I don't have deployed in AI Foundry - so i assume something else is going on not covered by the docs.
Activity
hassanhyau commentedon Mar 18, 2026
Hi team, I would love to pick this up as my first contribution to the Semantic Kernel docs!
I have extensive experience building Python/Azure AI pipelines and can draft the necessary updates to clarify the AzureChatCompletion setup and usage.
Could you assign this issue to me so I can get started on a PR?