> ## 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.

# Agent 通过 PDF 输入（本地文件）

## 代码

```python cookbook/models/openai/responses/pdf_input_local.py theme={null}
from pathlib import Path

from agno.agent import Agent
from agno.media import File
from agno.models.openai.responses import OpenAIResponses
from agno.utils.media import download_file

pdf_path = Path(__file__).parent.joinpath("ThaiRecipes.pdf")

# 使用 download_file 函数下载文件
download_file(
    "https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf", str(pdf_path)
)

agent = Agent(
    model=OpenAIResponses(id="gpt-4o-mini"),
    tools=[{"type": "file_search"}],
    markdown=True,
    add_history_to_messages=True,
)

agent.print_response(
    "总结附件内容。",
    files=[File(filepath=pdf_path)],
)
agent.print_response("从附件中推荐一个食谱。")
```

## 用法

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

  <Step title="设置您的 API 密钥">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    ```
  </Step>

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

  <Step title="运行 Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/models/openai/responses/pdf_input_local.py
      ```

      ```bash Windows theme={null}
      python cookbook/models/openai/responses/pdf_input_local.py
      ```
    </CodeGroup>
  </Step>
</Steps>