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example.py
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54 lines (41 loc) · 1.37 KB
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"""
AutoGen integration example.
Prerequisites:
cp .env.example .env
pip install -r requirements.txt
"""
import asyncio
import os
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
from dotenv import load_dotenv
from metorial import Metorial, metorial_autogen
load_dotenv()
async def main():
metorial = Metorial(api_key=os.getenv("METORIAL_API_KEY"))
# Create a deployment for Metorial Search — built-in web search, no auth needed
deployment = metorial.provider_deployments.create(
name="Metorial Search",
provider_id="metorial-search",
)
session = await metorial.connect(
adapter=metorial_autogen(),
providers=[
{"provider_deployment_id": deployment.id},
# (Optional) Add an OAuth provider like Slack or GitHub:
# {"provider_deployment_id": "your-slack-deployment-id", "provider_auth_config_id": "auth-config-id"},
],
)
model_client = OpenAIChatCompletionClient(model="gpt-4o")
assistant = AssistantAgent(
name="assistant",
model_client=model_client,
tools=session.tools(),
system_message="You are a helpful research assistant.",
)
await Console(
assistant.run_stream(task="Use the add tool to add 2 and 3. Reply with just the result.")
)
if __name__ == "__main__":
asyncio.run(main())