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

# DaytonaSandbox 集成

> 使用 LangChain Python 与 DaytonaSandbox 沙箱后端集成。

[Daytona](https://daytona.io) 提供支持多语言的快速启动沙箱环境。有关注册、认证和平台详情，请参阅 [Daytona 文档](https://www.daytona.io/docs)。

## 安装

<CodeGroup>
  ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  pip install langchain-daytona
  ```

  ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  uv add langchain-daytona
  ```
</CodeGroup>

## 创建沙箱后端

在 Python 中，你使用提供商 SDK 创建沙箱，然后用 [deepagents 后端](/oss/python/deepagents/backends) 将其包装。

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from daytona import Daytona

from langchain_daytona import DaytonaSandbox

sandbox = Daytona().create()
backend = DaytonaSandbox(sandbox=sandbox)

result = backend.execute("echo hello")
print(result.output)
```

## 与 Deep Agents 一起使用

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from daytona import Daytona
from langchain_anthropic import ChatAnthropic

from deepagents import create_deep_agent
from langchain_daytona import DaytonaSandbox

sandbox = Daytona().create()
backend = DaytonaSandbox(sandbox=sandbox)

agent = create_deep_agent(
    model=ChatAnthropic(model="claude-sonnet-4-20250514"),
    system_prompt="You are a coding assistant with sandbox access.",
    backend=backend,
)

result = agent.invoke(
    {
        "messages": [
            {"role": "user", "content": "Create a hello world Python script and run it"}
        ]
    }
)
```

## 清理

你需要通过 Daytona SDK 负责管理沙箱的生命周期。
完成后，请停止或销毁沙箱。

另请参阅：[沙箱](/oss/python/deepagents/sandboxes)。

***

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    [将这些文档](/use-these-docs)通过 MCP 连接到 Claude、VSCode 等，以获取实时答案。
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  <Callout icon="edit">
    [在 GitHub 上编辑此页面](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/sandboxes/daytona.mdx) 或 [提交问题](https://github.com/langchain-ai/docs/issues/new/choose)。
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