---
title: "Inspect integration"
description: "Use sandbox=\"promigence\" in Inspect and every sample gets its own cloud sandbox, with no Docker daemon on your machine. Tasks written for Docker, from a…"
url: "https://www.promigence.ai/integrations/inspect"
site: "Promigence"
---

# Inspect integration

Use `sandbox="promigence"` in Inspect and every sample gets its own cloud sandbox, with no Docker daemon on your machine. Tasks written for Docker, from a Dockerfile or a single-service compose file, run unchanged.

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

## Install

Install it and set your key.

```bash
pip install inspect-promigence openai
export PROMIGENCE_API_KEY=...
export PROMIGENCE_SPEND_CAP=1
```

## Example

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

```python
from inspect_ai import Task, task
from inspect_ai.agent import react
from inspect_ai.dataset import Sample
from inspect_ai.scorer import includes
from inspect_ai.tool import bash

from inspect_promigence import PromigenceSandboxConfig

SANDBOX = (
    "promigence",
    PromigenceSandboxConfig(
        image="python:3.12-slim",
        verify="python3 -c 'import sys; assert sys.version_info >= (3, 12)'",
        sandbox_timeout_sec=600,
    ),
)

@task
def hello_bash_agent() -> Task:
    return Task(
        dataset=[Sample(input="Use bash to print the Python version, then answer with it.", target="3.12")],
        solver=react(tools=[bash(timeout=60)]),
        scorer=includes(),
        sandbox=SANDBOX,
        message_limit=12,
    )
```

## Next

- [Run Inspect evals in a Promigence sandbox](https://www.promigence.ai/docs/guides/inspect-evals)
- [inspect-promigence on PyPI](https://pypi.org/project/inspect-promigence/)
- [All integrations](https://www.promigence.ai/integrations)