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chore: import upstream snapshot with attribution
2026-07-13 13:39:25 +08:00

49 lines
1.7 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from agent_framework import Content, Message
from agent_framework.foundry import FoundryChatClient
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
def create_sample_image() -> str:
"""Create a simple 1x1 pixel PNG image for testing."""
# This is a tiny yellow pixel in PNG format
png_data = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg=="
return f"data:image/png;base64,{png_data}"
async def test_image() -> None:
"""Test image analysis with Azure OpenAI."""
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
# authentication option. Requires AZURE_OPENAI_ENDPOINT and FOUNDRY_MODEL
# environment variables to be set.
# Alternatively, you can pass model explicitly:
# client = FoundryChatClient(credential=AzureCliCredential(), model="your-deployment-name")
client = FoundryChatClient(credential=AzureCliCredential())
image_uri = create_sample_image()
message = Message(
role="user",
contents=[
Content.from_text(text="What's in this image?"),
Content.from_uri(uri=image_uri, media_type="image/png"),
],
)
response = await client.get_response([message])
print(f"Image Response: {response}")
async def main() -> None:
print("=== Testing Azure OpenAI Multimodal ===")
print("Testing image analysis (supported by Chat Completions API)")
await test_image()
if __name__ == "__main__":
asyncio.run(main())