chore: import upstream snapshot with attribution

python/samples/02-agents/multimodal_input/azure_chat_multimodal.py

@@ -0,0 +1,48 @@
+# 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())