> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-opensw-1782332329-96d87c7.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# RunloopSandbox integration

> Integrate with the RunloopSandbox sandbox backend using LangChain Python.

[Runloop](https://www.runloop.ai/) provides disposable devboxes for running code in isolated environments. See the [Runloop docs](https://docs.runloop.ai/) for signup, authentication, and platform details.

## Installation

<CodeGroup>
  ```bash pip theme={null}
  pip install langchain-runloop
  ```

  ```bash uv theme={null}
  uv add langchain-runloop
  ```
</CodeGroup>

## Create a sandbox backend

In Python, you create the devbox using the provider SDK, then wrap it with the [deepagents backend](/oss/python/deepagents/backends).

```python theme={null}
from runloop_api_client import RunloopSDK

from langchain_runloop import RunloopSandbox

api_key = "..."
client = RunloopSDK(bearer_token=api_key)

devbox = client.devbox.create()
backend = RunloopSandbox(devbox=devbox)

try:
    result = backend.execute("echo hello")
    print(result.output)
finally:
    devbox.shutdown()
```

## Use with Deep Agents

```python theme={null}
from runloop_api_client import RunloopSDK
from langchain_anthropic import ChatAnthropic

from deepagents import create_deep_agent
from langchain_runloop import RunloopSandbox

api_key = "..."
client = RunloopSDK(bearer_token=api_key)

devbox = client.devbox.create()
backend = RunloopSandbox(devbox=devbox)

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

try:
    result = agent.invoke(
        {"messages": [{"role": "user", "content": "Create a small Python project and run tests"}]}
    )
finally:
    devbox.shutdown()
```

## Cleanup

Always shut down devboxes when you are done to avoid ongoing resource usage.

See also: [Sandboxes](/oss/python/deepagents/sandboxes).

***

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