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62 lines (47 loc) · 1.78 KB
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# /// script
# requires-python = ">=3.10"
# dependencies = [
# "agent-framework-openai",
# "python-dotenv",
# "semantic-kernel",
# ]
# ///
# Run with any PEP 723 compatible runner, e.g.:
# uv run samples/semantic-kernel-migration/openai_responses/01_basic_responses_agent.py
# Copyright (c) Microsoft. All rights reserved.
"""Issue a basic Responses API call using SK and Agent Framework."""
import asyncio
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
async def run_semantic_kernel() -> None:
from semantic_kernel.agents import OpenAIResponsesAgent
from semantic_kernel.connectors.ai.open_ai import OpenAISettings
openai_settings = OpenAISettings()
assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
client = OpenAIResponsesAgent.create_client()
# SK response agents wrap OpenAI's hosted Responses API.
agent = OpenAIResponsesAgent(
ai_model_id=openai_settings.responses_model_id,
client=client,
instructions="Answer in one concise sentence.",
name="Expert",
)
response = await agent.get_response("Why is the sky blue?")
print("[SK]", response.message.content)
async def run_agent_framework() -> None:
from agent_framework import Agent
from agent_framework.openai import OpenAIChatClient
# AF Agent can swap in an OpenAIChatClient directly.
chat_agent = Agent(
client=OpenAIChatClient(),
instructions="Answer in one concise sentence.",
name="Expert",
)
reply = await chat_agent.run("Why is the sky blue?")
print("[AF]", reply.text)
async def main() -> None:
await run_semantic_kernel()
await run_agent_framework()
if __name__ == "__main__":
asyncio.run(main())