Azure OpenAI in Azure AI Foundry Models API lifecycle

Last generation API

import os
from openai import AzureOpenAI

client = AzureOpenAI(
    api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
    api_version="2025-04-01-preview",
    azure_endpoint="https://YOUR-RESOURCE-NAME.openai.azure.com")
    )

response = client.responses.create(
    model="gpt-4.1-nano", # Replace with your model deployment name 
    input="This is a test."
)

print(response.model_dump_json(indent=2)) 

Next generation API

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("AZURE_OPENAI_API_KEY"),
    base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/"
)

response = client.responses.create(   
  model="gpt-4.1-nano", # Replace with your model deployment name 
  input="This is a test.",
)

print(response.model_dump_json(indent=2)) 

• OpenAI() client is used instead of AzureOpenAI().
• base_url passes the Azure OpenAI endpoint and /openai/v1 is appended to the endpoint address.
• api-version is no longer a required parameter with the v1 GA API.

Last generation API

from openai import AzureOpenAI
from azure.identity import DefaultAzureCredential, get_bearer_token_provider

token_provider = get_bearer_token_provider(
    DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
)

client = AzureOpenAI(
  azure_endpoint = "https://YOUR-RESOURCE-NAME.openai.azure.com/", 
  azure_ad_token_provider=token_provider,
  api_version="2025-04-01-preview"
)

response = client.responses.create(
    model="gpt-4.1-nano", # Replace with your model deployment name 
    input="This is a test."
)

print(response.model_dump_json(indent=2)) 

Next generation API

from openai import OpenAI
from azure.identity import DefaultAzureCredential, get_bearer_token_provider

token_provider = get_bearer_token_provider(
    DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
)

client = OpenAI(  
  base_url = "https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",  
  api_key=lamba: fetch_azure_token()  
)

response = client.responses.create(
    model="gpt-4.1-nano",
    input= "This is a test" 
)

print(response.model_dump_json(indent=2)) 

• AzureOpenAI() is used to take advantage of automatic token refresh provided by azure_ad_token_provider.
• base_url passes the Azure OpenAI endpoint and /openai/v1 is appended to the endpoint address.
• api_key parameter will call fetch_azure_token(), enabling automatic retrieval and refresh of an authentication token instead of using a static API key.

Last generation API

API Key:

curl -X POST https://YOUR-RESOURCE-NAME.openai.azure.com/openai/responses?api-version=2025-04-01-preview \
  -H "Content-Type: application/json" \
  -H "api-key: $AZURE_OPENAI_API_KEY" \
  -d '{
     "model": "gpt-4.1-nano",
     "input": "This is a test"
    }'

Microsoft Entra ID:

curl -X POST https://YOUR-RESOURCE-NAME.openai.azure.com/openai/responses?api-version=2025-04-01-preview \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AZURE_OPENAI_AUTH_TOKEN" \
  -d '{
     "model": "gpt-4.1-nano",
     "input": "This is a test"
    }'

Next generation API

API Key:

curl -X POST https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/responses?api-version=preview \
  -H "Content-Type: application/json" \
  -H "api-key: $AZURE_OPENAI_API_KEY" \
  -d '{
     "model": "gpt-4.1-nano",
     "input": "This is a test"
    }'

Microsoft Entra ID:

curl -X POST https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/responses?api-version=preview \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AZURE_OPENAI_AUTH_TOKEN" \
  -d '{
     "model": "gpt-4o",
     "input": "This is a test"
    }'

{
  "id": "resp_682f7eb5dc408190b491cbbe57be2fbf0f98d661c3dc276d",
  "created_at": 1747943093.0,
  "error": null,
  "incomplete_details": null,
  "instructions": null,
  "metadata": {},
  "model": "gpt-4.1-nano",
  "object": "response",
  "output": [
    {
      "id": "msg_682f7eb61d908190926a004c15c5ddd00f98d661c3dc276d",
      "content": [
        {
          "annotations": [],
          "text": "Hello! It looks like you've sent a test message. How can I assist you today?",
          "type": "output_text"
        }
      ],
      "role": "assistant",
      "status": "completed",
      "type": "message"
    }
  ],
  "parallel_tool_calls": true,
  "temperature": 1.0,
  "tool_choice": "auto",
  "tools": [],
  "top_p": 1.0,
  "background": null,
  "max_output_tokens": null,
  "previous_response_id": null,
  "reasoning": {
    "effort": null,
    "generate_summary": null,
    "summary": null
  },
  "service_tier": "default",
  "status": "completed",
  "text": {
    "format": {
      "type": "text"
    }
  },
  "truncation": "disabled",
  "usage": {
    "input_tokens": 12,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 19,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 31
  },
  "user": null,
  "store": true
}