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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 synchronous OpenAI client. We do not use AIProjectClient
in this sample, but rather construct the OpenAI client directly.
See also https://platform.openai.com/docs/api-reference/responses/create?lang=python
USAGE:
python sample_responses_basic_without_aiprojectclient.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 os
from dotenv import load_dotenv
from openai import OpenAI
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
load_dotenv()
openai = OpenAI(
api_key=get_bearer_token_provider(DefaultAzureCredential(), "https://ai.azure.com/.default"),
base_url=os.environ["AZURE_AI_PROJECT_ENDPOINT"].rstrip("/") + "/openai",
default_query={"api-version": "2025-11-15-preview"},
)
response = 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}")
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