Securely executes code generated by Large Language Models in an isolated and portable environment.
Sponsored
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.
주요 기능
01Extensive multi-language support for Python, JavaScript, Java, C++, Go, and R
02Flexible container backend support including Docker, Kubernetes, and Podman
03Seamless integration with popular LLM frameworks like LangChain and OpenAI
04Isolated and secure code execution with customizable policies and resource limits
05Automatic capture of plots and visualizations from executed code
06397 GitHub stars
사용 사례
01Securely executing code generated by Large Language Models
02Enabling AI assistants to perform code interpretation and data analysis in a sandboxed environment
03Integrating a secure code interpreter into LLM-powered applications and agents
