Tao Chen
8d379168b2
* Add skill to replace hardcoded foundry project endpoint and model * Include more samples and fix migration samples part 1 * Fix migration samples * Replace Foundry hosted agent validation skill * Fix hosted agent file sample * Fix agent result format * Reorganize jobs * Update discovery heuristic for apps * Split agents into even more jobs * Add toolbox endpoint * Add more pre configured resources * Fix using deployed agent sample * Add sample status * Add playbook * Exclude hidden folder in sample discovery * Install autogen dependencies * Grant azure search RBAC role * Increase timeout for magentic * Build search resouce id deterministically * Remove grant in the workflow * Move azure cli login closer to when the sample actually runs * Refactor playbook * Fix using deployed agent sample * Actually save the playbooks * Fix action syntax error * Fix magentic sample * Address copilot comments * Fix link inspection * Address comments * Correct README * Fix playbook path * Remove trailing space
78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
# /// script
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# requires-python = ">=3.10"
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# dependencies = [
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# "agent-framework-openai",
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# "autogen-agentchat",
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# "autogen-ext[openai]",
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# "python-dotenv",
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# ]
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# ///
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# Run with any PEP 723 compatible runner, e.g.:
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# uv run samples/autogen-migration/single_agent/01_basic_agent.py
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# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from agent_framework import Agent
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from dotenv import load_dotenv
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"""Basic AutoGen AssistantAgent vs Agent Framework Agent.
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Both samples expect OpenAI-compatible environment variables (OPENAI_API_KEY or
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Azure OpenAI configuration). Update the prompts or client wiring to match your
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model of choice before running.
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"""
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# Load environment variables from .env file
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load_dotenv()
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async def run_autogen() -> None:
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"""Call AutoGen's AssistantAgent for a simple question."""
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from autogen_agentchat.agents import AssistantAgent
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from autogen_ext.models.openai import OpenAIChatCompletionClient
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# AutoGen agent with OpenAI model client
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client = OpenAIChatCompletionClient(model="gpt-4.1-mini")
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agent = AssistantAgent(
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name="assistant",
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model_client=client,
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system_message="You are a helpful assistant. Answer in one sentence.",
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)
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# Run the agent (AutoGen maintains conversation state internally)
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result = await agent.run(task="What is the capital of France?")
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print("[AutoGen]", result.messages[-1].to_text())
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async def run_agent_framework() -> None:
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"""Call Agent Framework's Agent created from OpenAIChatClient."""
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from agent_framework.openai import OpenAIChatClient
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# AF constructs a lightweight Agent backed by OpenAIChatClient
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client = OpenAIChatClient(model="gpt-4.1-mini")
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agent = Agent(
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client=client,
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name="assistant",
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instructions="You are a helpful assistant. Answer in one sentence.",
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)
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# Run the agent (AF agents are stateless by default)
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result = await agent.run("What is the capital of France?")
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print("[Agent Framework]", result.text)
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async def main() -> None:
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print("=" * 60)
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print("Basic Assistant Agent Comparison")
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print("=" * 60)
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await run_autogen()
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print()
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await run_agent_framework()
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if __name__ == "__main__":
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asyncio.run(main())
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