Sandbox FAQs

Question 1

What is Sandbox?

Accepted Answer

Sandbox provides a secure, production-ready Python execution environment designed for executing code, managing artifacts, and integrating seamlessly with AI models through its comprehensive MCP server.

Question 2

How does Sandbox enhance Python code execution?

Accepted Answer

It offers a sandboxed environment with persistent context, an interactive REPL, enhanced error handling, and robust security features like command filtering, timeout control, and resource monitoring for safe and reliable execution.

Question 3

What types of artifacts does Sandbox manage, and how?

Accepted Answer

Sandbox automatically captures and organizes a wide range of artifacts including Matplotlib plots, PIL images, structured data (JSON, CSV), and video outputs from Manim animations, with smart categorization and cleanup options.

Question 4

Can Sandbox integrate with AI models or host web applications?

Accepted Answer

Yes, Sandbox features a production-ready MCP server specifically designed for seamless integration with AI models like LM Studio. It also supports hosting Flask and Streamlit web applications directly, providing accessible URLs.

Sandbox

Key Features

Use Cases

Sandbox

Key Features

Use Cases