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import asyncio
from dedalus_labs import AsyncDedalus, DedalusRunner
from dotenv import load_dotenv
from dedalus_labs.utils.streaming import stream_async

load_dotenv()

async def main():
    client = AsyncDedalus()
    runner = DedalusRunner(client)

    result = await runner.run(
        input="""I'm planning a outdoor wedding in San Francisco next weekend. 
        Can you provide:
        1. Current weather conditions
        2. 7-day forecast with hourly details
        3. Probability of precipitation
        4. Temperature highs and lows
        5. Wind conditions and UV index
        6. Recommendations for outdoor event planning based on the forecast""",
        model="openai/gpt-4.1",
        mcp_servers=["joerup/open-meteo-mcp"]
    )

    print(f"Weather Forecast Results:\n{result.final_output}")

if __name__ == "__main__":
    asyncio.run(main())
This example uses the Open Meteo MCP (joerup/open-meteo-mcp) which provides:
  • Current weather conditions
  • Multi-day weather forecasts
  • Hourly weather data
  • Historical weather information
  • Weather alerts and warnings
Try it out in your projects!
⌘I