Azure AI Foundry / Azure OpenAI API endpoint for listing model deployments

Question

I'm looking for a way to list the currently deployed models in my Azure OpenAI resource. I want to access these models so I can choose a model from the deployed models to give an answer to the question I've asked. The different models have almost identical endpoints:
https://<resource>.openai.azure.com/openai/deployments/<model>/chat/completions?api-version=2025-01-01-preview

Preferably, I want this to happen by using the same endpoint/API-key configuration I need for the chat completion to work, which already works with my current settings. What I am looking for, is an endpoint like:
https://<resource>.openai.azure.com/openai/deployments?api-version=2025-01-01-preview that returns a list of deployed resources:

{ 
	Id = "gpt-4.1", 
	Name = "GPT-4.1",
	... 
}, 
{ 
	Id = "gpt-4.1-mini", 
	Name = "GPT-4.1 Mini",
	...
}, 
{ 
	Id = "gpt-4.1-nano",
	Name = "GPT-4.1 Nano",
	...
}

I did not find any endpoints in the documentation unfortunately.

Answer 1

Hi Wout den Buurman

If the customer has Cognitive Service OpenAI User (can not use Api keys) or contributor( can use API key for inference calls), we can use "az login --identity" and outputs respective deployment.

Option 1

az login --identity
az cognitiveservices account deployment list -g <rgname>-n <openaIaccountname>

Reference

https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/create-resource?pivots=cli ( to list and create deployments)

Azure OpenAI roles

I don't think that we can use "https://<resource>.openai.azure.com/openai/deployments?api-version=2025-01-01-preview" to get the list in mentioned format.

Option 2

Else you can create a list with model deployment names and

deploy = [ "gpt-4.1", "gpt-4.1-mini"..] #prompt the list to user

based on above input, it will send inference calls to below endpoint

https://<resource>.openai.azure.com/openai/deployments/deploy/chat/completions?api-version=2025-01-01-preview

Thank you for understanding.