chore: import upstream snapshot with attribution

python/samples/autogen-migration/single_agent/01_basic_agent.py

@@ -0,0 +1,76 @@
+# /// script
+# requires-python = ">=3.10"
+# dependencies = [
+#     "agent-framework-openai",
+#     "autogen-agentchat",
+#     "autogen-ext[openai]",
+# ]
+# ///
+# Run with any PEP 723 compatible runner, e.g.:
+#   uv run samples/autogen-migration/single_agent/01_basic_assistant_agent.py
+
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+from agent_framework import Agent
+from dotenv import load_dotenv
+
+"""Basic AutoGen AssistantAgent vs Agent Framework Agent.
+
+Both samples expect OpenAI-compatible environment variables (OPENAI_API_KEY or
+Azure OpenAI configuration). Update the prompts or client wiring to match your
+model of choice before running.
+"""
+
+# Load environment variables from .env file
+load_dotenv()
+
+
+async def run_autogen() -> None:
+    """Call AutoGen's AssistantAgent for a simple question."""
+
+    from autogen_agentchat.agents import AssistantAgent
+    from autogen_ext.models.openai import OpenAIChatCompletionClient
+
+    # AutoGen agent with OpenAI model client
+    client = OpenAIChatCompletionClient(model="gpt-4.1-mini")
+    agent = AssistantAgent(
+        name="assistant",
+        model_client=client,
+        system_message="You are a helpful assistant. Answer in one sentence.",
+    )
+
+    # Run the agent (AutoGen maintains conversation state internally)
+    result = await agent.run(task="What is the capital of France?")
+    print("[AutoGen]", result.messages[-1].to_text())
+
+
+async def run_agent_framework() -> None:
+    """Call Agent Framework's Agent created from OpenAIChatClient."""
+    from agent_framework.openai import OpenAIChatClient
+
+    # AF constructs a lightweight Agent backed by OpenAIChatClient
+    client = OpenAIChatClient(model="gpt-4.1-mini")
+    agent = Agent(
+        client=client,
+        name="assistant",
+        instructions="You are a helpful assistant. Answer in one sentence.",
+    )
+
+    # Run the agent (AF agents are stateless by default)
+    result = await agent.run("What is the capital of France?")
+    print("[Agent Framework]", result.text)
+
+
+async def main() -> None:
+    print("=" * 60)
+    print("Basic Assistant Agent Comparison")
+    print("=" * 60)
+    await run_autogen()
+    print()
+    await run_agent_framework()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())