When LLMs write code to accomplish a task, that code has to actually run somewhere. And right now, the options aren't great. Spin up a sandboxed container and you're paying a full second of cold start overhead plus the complexity of another service. Let the LLM loose on your actual machine and... well, you'd better be watching.
 

 
On this episode, I sit down with Samuel Colvin, creator of Pydantic, now at 10 billion downloads, to explore Monty, a Python interpreter written from scratch in Rust, purpose-built to run LLM-generated code. It starts in microseconds, is completely sandboxed by design, and can even serialize its entire state to a database and resume later. We dig into why this deliberately limited interpreter might be exactly what the AI agent era needs. 
 
Episode sponsors 
 
<a href='https://talkpython.fm/training'>Talk Python Courses</a>
<a href='https://talkpython.fm/devopsbook'>Python in Production</a> 
 
<h2 class="links-heading mb-4">Links from the show</h2>
<div>Guest 
Samuel Colvin: <a href="https://github.com/samuelcolvin?featured_on=talkpython" target="_blank" >github.com</a> 
 
CPython: <a href="https://github.com/python/cpython?featured_on=talkpython" target="_blank" >github.com</a> 
IronPython: <a href="https://ironpython.net?featured_on=talkpython" target="_blank" >ironpython.net</a> 
Jython: <a href="https://www.jython.org?featured_on=talkpython" target="_blank" >www.jython.org</a> 
Pyodide: <a href="https://pyodide.com?featured_on=talkpython" target="_blank" >pyodide.com</a> 
monty: <a href="https://github.com/pydantic/monty?featured_on=talkpython" target="_blank" >github.com</a> 
Pydantic AI: <a href="https://pydantic.dev/pydantic-ai?featured_on=talkpython" target="_blank" >pydantic.dev</a> 
Python AI conference: <a href="https://pyai.events?featured_on=talkpython" target="_blank" >pyai.events</a> 
bashkit: <a href="https://github.com/everruns/bashkit?featured_on=talkpython" target="_blank" >github.com</a> 
just-bash: <a href="https://github.com/vercel-labs/just-bash?featured_on=talkpython" target="_blank" >github.com</a> 
Narwhals: <a href="https://narwhals-dev.github.io/narwhals/?featured_on=talkpython" target="_blank" >narwhals-dev.github.io</a> 
Polars: <a href="https://pola.rs?featured_on=talkpython" target="_blank" >pola.rs</a> 
Strands Agents: <a href="https://aws.amazon.com/blogs/opensource/introducing-strands-agents-an-open-source-ai-agents-sdk/?featured_on=talkpython" target="_blank" >aws.amazon.com</a> 
Subscribe Running Pydantic’s Monty Rust sandboxed Python subset in WebAssembly: <a href="https://simonwillison.net/2026/Feb/6/pydantic-monty/?featured_on=talkpython" target="_blank" >simonwillison.net</a> 
Rust Python: <a href="https://github.com/RustPython/RustPython?featured_on=talkpython" target="_blank" >github.com</a> 
Valgrind: <a href="https://valgrind.org?featured_on=talkpython" target="_blank" >valgrind.org</a> 
Cod Speed: <a href="https://codspeed.io?featured_on=talkpython" target="_blank" >codspeed.io</a> 
 
Watch this episode on YouTube: <a href="https://www.youtube.com/watch?v=TjTV4jlMcRw" target="_blank" >youtube.com</a> 
Episode #541 deep-dive: <a href="https://talkpython.fm/episodes/show/541/monty-python-in-rust-for-ai#takeaways-anchor" target="_blank" >talkpython.fm/541</a> 
Episode transcripts: <a href="https://talkpython.fm/episodes/transcript/541/monty-python-in-rust-for-ai" target="_blank" >talkpython.fm</a> 
 
Theme Song: Developer Rap 
🥁 Served in a Flask 🎸: <a href="https://talkpython.fm/flasksong" target="_blank" >talkpython.fm/flasksong</a> 
 
---== Don't be a stranger ==--- 
YouTube: <a href="https://talkpython.fm/youtube" target="_blank" > youtube.com/@talkpython</a> 
 
Bluesky: <a href="https://bsky.app/profile/talkpython.fm" target="_blank" >@talkpython.fm</a> 
Mastodon: <a href="https://fosstodon.org/web/@talkpython" target="_blank" > @talkpython@fosstodon.org</a> 
X.com: <a href="https://x.com/talkpython" target="_blank" > @talkpython</a> 
 
Michael on Bluesky: <a href="https://bsky.app/profile/mkennedy.codes?featured_on=talkpython" target="_blank" >@mkennedy.codes</a> 
Michael on Mastodon: <a href="https://fosstodon.org/web/@mkennedy" target="_blank" > @mkennedy@fosstodon.org</a> 
Michael on X.com: <a href="https://x.com/mkennedy?featured_on=talkpython" target="_blank" > @mkennedy</a> </div>

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