---
title: "LangChain integration"
description: "Use a Promigence sandbox as the backend of a LangChain Deep Agent, so the agent's shell commands and file edits happen in the sandbox. The same package…"
url: "https://www.promigence.ai/integrations/langchain"
site: "Promigence"
---

# LangChain integration

Use a Promigence sandbox as the backend of a LangChain Deep Agent, so the agent's shell commands and file edits happen in the sandbox. The same package adds a `promigence` sandbox provider to deepagents-code.

The package is `langchain-promigence` on PyPI, for Python.

## Install

Install it and set your key.

```bash
pip install langchain-promigence
pip install "langchain-promigence[code]"     # adds the deepagents-code provider
export PROMIGENCE_API_KEY=prom_api_...
export PROMIGENCE_SPEND_CAP=5
```

## Example

From the guide [Run LangChain Deep Agents in a Promigence sandbox](https://www.promigence.ai/docs/guides/langchain), which goes on to the spend cap, cleaning up, and what the package does not support.

```python
from deepagents import create_deep_agent
from langchain_promigence import PromigenceSandbox

sandbox = PromigenceSandbox.create(image="python:3.12-slim", working_dir="/workspace", spend_cap=1)
try:
    agent = create_deep_agent(model="anthropic:claude-sonnet-4-5", backend=sandbox)
    agent.invoke({"messages": [{"role": "user", "content": "run the tests and fix what fails"}]})
finally:
    sandbox.kill()
```

## Next

- [Run LangChain Deep Agents in a Promigence sandbox](https://www.promigence.ai/docs/guides/langchain)
- [langchain-promigence on PyPI](https://pypi.org/project/langchain-promigence/)
- [All integrations](https://www.promigence.ai/integrations)