Travel Agent

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 trip to Paris, France from New York City 
        for 5 days in October. Can you help me find:
        1. Flight options and prices
        2. Hotel recommendations in central Paris
        3. Weather forecast for my travel dates
        4. Popular attractions and restaurants
        5. Currency exchange rates and travel tips
        
        My budget is around $3000 total and I prefer mid-range accommodations.""",
        model="openai/gpt-4.1",
        mcp_servers=[
            "joerup/exa-mcp",        # For semantic travel research
            "windsor/brave-search-mcp", # For travel information search
            "joerup/open-meteo-mcp"   # For weather at destination
        ]
    )

    print(f"Travel Planning Results:\n{result.final_output}")

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