Running Pydantic's Monty Rust Sandboxed Python Subset in WebAssembly (simonwillison.net)

Pydantic has announced the launch of Monty, a sandboxed Python subset implemented in Rust, which runs in WebAssembly. This innovative tool allows developers to execute a lightweight subset of Python code generated by large language models (LLMs) with remarkable efficiency, boasting startup times in single-digit microseconds. Unlike traditional container-based environments, Monty provides a secure execution space by completely isolating the code from the host environment and only permitting access to predefined functions. This capability is particularly useful for LLM applications, as it enables iterative error correction and quick adjustments to code without the overhead of heavier sandbox methods. The introduction of Monty enhances the toolkit available for AI developers, particularly in experimenting with LLM-generated code. With its small memory footprint and strict limits on resource usage, Monty stands out for its accessibility and performance in both web and local environments. It can be executed directly in a browser or integrated into Pyodide for use with Python, broadening its usability across platforms. The project's openness and flexibility not only facilitate experimentation but also demonstrate the burgeoning ease of deploying compiled languages like Rust into WebAssembly, further pushing the boundaries of what is possible in AI and machine learning development.