快速开始

export DEDALUS_API_KEY="your-api-key"

DEDALUS_API_KEY=your-api-key

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

load_dotenv()

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

    response = await runner.run(
        input="影响天气模式的关键因素有哪些?",
        model="anthropic/claude-opus-4-6",
    )

    print(response.final_output)

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

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

load_dotenv()

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

    response = await runner.run(
        input="What's the weather forecast for San Francisco this week?",
        model="anthropic/claude-opus-4-6",
        mcp_servers=["windsornguyen/open-meteo-mcp"],  # 通过 Open-Meteo 获取天气预报
    )

    print(response.final_output)

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

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

load_dotenv()

def as_bullets(items: list[str]) -> str:
    """Format items as a bulleted list."""
    return "\n".join(f"• {item}" for item in items)

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

    response = await runner.run(
        input=(
            "获取旧金山的 7 天天气预报,"
            "然后使用 as_bullets 将每日天气状况格式化为项目符号。"
        ),
        model="anthropic/claude-opus-4-6",
        mcp_servers=["windsornguyen/open-meteo-mcp"],
        tools=[as_bullets],
    )

    print(response.final_output)

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

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

load_dotenv()

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

    stream = runner.run(
        input="用一段话解释天气预报的工作原理,边写边进行流式传输。",
        model="anthropic/claude-opus-4-6",
        stream=True,
    )

    await stream_async(stream)

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