#541: Monty - Python in Rust for AI

Monty, a Python interpreter written in Rust, is explored as a solution for running LLM-generated code safely and efficiently. Samuel Colvin, creator of Pydantic, details Monty's design, emphasizing its complete sandboxing, which isolates it from the host machine's file system and environment variables, enhancing security. Monty's rapid startup time, measured in microseconds, contrasts sharply with the slower cold starts of Docker containers and Pyodide. The interpreter supports Python 3.14 syntax and offers resource limits to prevent excessive memory or time consumption. Colvin highlights Monty's ability to serialize its entire state, enabling long-running tool calls to be paused and resumed, a feature not available in CPython.