Daytona 沙箱

使用 LangChain Python 集成 Daytona 沙箱。

Daytona 提供多语言支持的快速启动沙箱环境。 参见 Daytona docs 了解注册、认证和平台详情。

安装

pip

pip install langchain-daytona

创建沙箱后端

In Python, you create the sandbox using the provider SDK, then wrap it with the deepagents backend.

from daytona import Daytona

from langchain_daytona import DaytonaSandbox

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

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

Use with Deep Agents

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"}
        ]
    }
)

Cleanup

You are responsible for managing the sandbox lifecycle via the Daytona SDK. When you are done, stop or destroy the sandbox.

See also: Sandboxes.

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