Pydantic Monty: you probably don't need a full sandbox

Monty is a newly developed open-source Python interpreter written in Rust, designed to provide a secure and efficient environment for executing code generated by AI agents. Unlike traditional environments that rely on sequential tool calling, Monty allows AI models to write Python code, enabling them to perform complex tasks with loops, conditionals, and parallel async calls. Monty's distinctive approach starts with zero access, selectively granting capabilities through external functions, in contrast to traditional sandboxing methods that progressively lock down environments. This design enhances security and efficiency, allowing Monty to run in microseconds without extra infrastructure or per-execution costs. Monty is positioned as a robust solution for code execution in AI-driven applications, offering advantages in latency, setup complexity, cost, and portability. It supports a range of Python functionalities and is set to expand its capabilities based on LLM demands, although it currently does not support third-party packages. Monty's development continues, with a focus on expanding its functionality and maintaining its security integrity.