chore: import upstream snapshot with attribution

python/samples/01-get-started/02_add_tools.py

@@ -0,0 +1,58 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+from random import randint
+from typing import Annotated
+
+from agent_framework import Agent, tool
+from agent_framework.foundry import FoundryChatClient
+from azure.identity import AzureCliCredential
+from pydantic import Field
+
+"""
+Add Tools — Give your agent a function tool
+
+This sample shows how to define a function tool with the @tool decorator
+and wire it into an agent so the model can call it.
+"""
+
+
+# <define_tool>
+# NOTE: approval_mode="never_require" is for sample brevity.
+# Use "always_require" in production for user confirmation before tool execution.
+@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."
+
+
+# </define_tool>
+
+
+async def main() -> None:
+    client = FoundryChatClient(
+        project_endpoint="https://your-project.services.ai.azure.com",
+        model="gpt-4o",
+        credential=AzureCliCredential(),
+    )
+
+    # <create_agent_with_tools>
+    agent = Agent(
+        client=client,
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent. Use the get_weather tool to answer questions.",
+        tools=[get_weather],
+    )
+    # </create_agent_with_tools>
+
+    # <run_agent>
+    result = await agent.run("What's the weather like in Seattle?")
+    print(f"Agent: {result}")
+    # </run_agent>
+
+
+if __name__ == "__main__":
+    asyncio.run(main())