LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode.
Listed on its own since 2026-09-25. Until then it was part of llm-sandbox, where its earlier checks remain.
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## LLM Sandbox *Securely Execute LLM-Generated Code with Ease* [](https://sonarcloud.io/summary/new_code?id=vndee_llm-sandbox) [](https://sonarcloud.io/summary/new_code?id=vndee_llm-sandbox) [](https://pypi.org/project/llm-sandbox/) [](https://img.shields.io/github/v/release/vndee/llm-sandbox) [](https://github.com/vndee/llm-sandbox/actions/workflows/main.yml?query=branch%3Amain) [](https://www.codefactor.io/repository/github/vndee/llm-sandbox) [](https://codecov.io/gh/vndee/llm-sandbox)  [](https://deepwiki.com/vndee/llm-sandbox) **LLM Sandbox** is a lightweight and portable sandbox environment designed to run Large Language Model (LLM) generated code in a safe and isolated mode. It provides a secure execution environment for AI-generated code while offering flexibility in container backends and comprehensive language support, simplifying the process of running code generated by LLMs. Documentation: https://vndee.github.io/llm-sandbox/  ✨ **New:** This project now supports the [Model Context Protocol (MCP)](https://vndee.github.io/llm-sandbox/mcp-integration/) server, which allows your MCP clients (e.g. Claude Desktop) to run code generated by LLMs in a secure sandbox enviro…
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