Weather Forecaster

import asyncio
from dedalus_labs import AsyncDedalus, DedalusRunner
from dotenv import load_dotenv

load_dotenv()

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

    result = await runner.run(
        input="""I'm planning an outdoor wedding in San Francisco next weekend.

        Please provide:
        1. Current weather conditions
        2. 7-day forecast with daily details
        3. Precipitation probability
        4. Temperature highs and lows
        5. Wind and UV conditions
        6. Specific recommendations for outdoor event planning""",
        model="openai/gpt-4.1",
        mcp_servers=["windsor/open-meteo-mcp"]
    )

    print(result.final_output)

if __name__ == "__main__":
    asyncio.run(main())

import Dedalus, { DedalusRunner } from "dedalus-labs";
import * as dotenv from "dotenv";

dotenv.config();

async function main() {
	const client = new Dedalus({
		apiKey: process.env.DEDALUS_API_KEY,
	});

	const runner = new DedalusRunner(client);

	const result = await runner.run({
		input: `I'm planning an outdoor wedding in San Francisco next weekend.

    Please provide:
    1. Current weather conditions
    2. 7-day forecast with daily details
    3. Precipitation probability
    4. Temperature highs and lows
    5. Wind and UV conditions
    6. Specific recommendations for outdoor event planning`,
		model: "openai/gpt-4.1",
		mcpServers: ["windsor/open-meteo-mcp"],
	});

	console.log(result.finalOutput);
}

main();