LLM Sandbox
Securely executes code generated by Large Language Models in an isolated and portable environment.
LLM Sandbox provides a robust and portable sandbox runtime for executing code generated by Large Language Models (LLMs) with a strong emphasis on security. It ensures isolated execution by leveraging various container backends like Docker, Kubernetes, and Podman, and offers extensive support for multiple programming languages including Python, JavaScript, Java, C++, Go, and R. The tool also seamlessly integrates with popular LLM frameworks and can capture artifacts like plots. Furthermore, it includes a Model Context Protocol (MCP) server, enabling AI assistants like Claude Desktop to securely run code and capture visualizations directly within sandboxed environments.
