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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to run a basic responses operation
using the asynchronous AsyncOpenAI client. We do not use AIProjectClient
in this sample, but rather construct the AsyncOpenAI client directly.
See also https://platform.openai.com/docs/api-reference/responses/create?lang=python
USAGE:
python sample_responses_basic_without_aiprojectclient_async.py
Before running the sample:
pip install openai azure-identity python-dotenv
Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
page of your Microsoft Foundry portal.
2) AZURE_AI_MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
the "Models + endpoints" tab in your Microsoft Foundry project.
"""
import asyncio
import os
from dotenv import load_dotenv
from openai import AsyncOpenAI
from azure.identity.aio import DefaultAzureCredential, get_bearer_token_provider
load_dotenv()
async def main() -> None:
credential = DefaultAzureCredential()
async with credential:
openai = AsyncOpenAI(
api_key=get_bearer_token_provider(credential, "https://ai.azure.com/.default"),
base_url=os.environ["AZURE_AI_PROJECT_ENDPOINT"].rstrip("/") + "/openai",
default_query={"api-version": "2025-11-15-preview"},
)
async with openai:
response = await openai.responses.create(
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
input="How many feet are in a mile?",
)
print(f"Response output: {response.output_text}")
if __name__ == "__main__":
asyncio.run(main())
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