chore: import upstream snapshot with attribution

python/samples/02-agents/providers/azure/openai_client_basic.py

@@ -0,0 +1,90 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+from random import randint
+from typing import Annotated
+
+from agent_framework import Agent, tool
+from agent_framework.openai import OpenAIChatClient
+from azure.identity import AzureCliCredential
+from dotenv import load_dotenv
+from pydantic import Field
+
+# Load environment variables from .env file
+load_dotenv()
+
+"""
+Azure OpenAI Chat Client Basic Example
+
+This sample demonstrates basic usage of OpenAIChatClient with explicit Azure
+settings and a credential, showing both streaming and non-streaming responses.
+"""
+
+
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production.
+@tool(approval_mode="never_require")
+def get_weather(
+    location: Annotated[str, Field(description="The location to get the weather for.")],
+) -> str:
+    """Get the weather for a given location."""
+    conditions = ["sunny", "cloudy", "rainy", "stormy"]
+    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
+
+
+async def non_streaming_example() -> None:
+    """Example of non-streaming response (get the complete result at once)."""
+    print("=== Non-streaming Response Example ===")
+
+    agent = Agent(
+        client=OpenAIChatClient(
+            model=os.getenv("AZURE_OPENAI_MODEL"),
+            azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
+            api_version=os.getenv("AZURE_OPENAI_API_VERSION"),
+            credential=AzureCliCredential(),
+        ),
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent.",
+        tools=get_weather,
+    )
+
+    query = "What's the weather in Seattle?"
+    print(f"User: {query}")
+    result = await agent.run(query)
+    print(f"Result: {result}\n")
+
+
+async def streaming_example() -> None:
+    """Example of streaming response (get results as they are generated)."""
+    print("=== Streaming Response Example ===")
+
+    agent = Agent(
+        client=OpenAIChatClient(
+            model=os.getenv("AZURE_OPENAI_MODEL"),
+            azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
+            api_version=os.getenv("AZURE_OPENAI_API_VERSION"),
+            credential=AzureCliCredential(),
+        ),
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent.",
+        tools=get_weather,
+    )
+
+    query = "What's the weather in Portland?"
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+async def main() -> None:
+    print("=== Basic Azure OpenAI Chat Client Agent Example ===")
+
+    await non_streaming_example()
+    await streaming_example()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())