> ## Documentation Index
> Fetch the complete documentation index at: https://ikun.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 结构化输出代理

## 代码

```python cookbook/models/xai/structured_output.py theme={null}
import asyncio
from typing import List

from agno.agent import Agent
from agno.models.xai import xAI
from agno.run.response import RunResponse
from pydantic import BaseModel, Field


class MovieScript(BaseModel):
    name: str = Field(..., description="给这部电影起个名字")
    setting: str = Field(
        ..., description="为一部大片提供一个好的背景设定。"
    )
    ending: str = Field(
        ...,
        description="电影的结局。如果没有，请给一个大团圆结局。",
    )
    genre: str = Field(
        ...,
        description="电影的类型。如果没有，请选择动作、惊悚或浪漫喜剧。",
    )
    characters: List[str] = Field(..., description="这部电影的角色名字。")
    storyline: str = Field(
        ..., description="电影的三句话剧情梗概。要令人兴奋！"
    )


# 返回结构化输出的代理
structured_output_agent = Agent(
    model=xAI(id="grok-2-latest"),
    description="你负责写电影剧本。",
    response_model=MovieScript,
)

structured_output_agent.print_response("羊驼统治世界")
```

## 用法

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="设置你的 API 密钥">
    ```bash theme={null}
    export XAI_API_KEY=xxx
    ```
  </Step>

  <Step title="安装库">
    ```bash theme={null}
    pip install -U openai agno rich
    ```
  </Step>

  <Step title="运行代理">
    ```bash theme={null}
    python cookbook/models/xai/structured_output.py
    ```
  </Step>
</Steps>