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A comment on Python interpreter written in Rust for use by AI. Parent comment

Re:Python interpreter written in Rust for use by AI by vghaisas on Saturday February 07, 2026 @04:34AM (#46922550)
This is very cool, but I'm having some trouble understanding the use cases.

Is this mostly just for codemode where the MCP calls instead go through a Monty function call? Is it to do some quick maths or pre/post-processing to answer queries? Or maybe to implement CaMeL?

It feels like the power of terminal agents is partly because they can access the network/filesystem, and so sandboxed containers are a natural extension?

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Re:Python interpreter written in Rust for use by AI by 16bitvoid on Saturday February 07, 2026 @05:17AM (#46922708)
It's right there in the README.

> Monty avoids the cost, latency, complexity and general faff of using full container based sandbox for running LLM generated code.

> Instead, it let's you safely run Python code written by an LLM embedded in your agent, with startup times measured in single digit microseconds not hundreds of milliseconds.

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Re:Python interpreter written in Rust for use by AI by vghaisas on Saturday February 07, 2026 @10:11AM (#46924475)
Oh I did read the README, but still have the question: while it does save on cost, latency and complexity, the tradeoff is that the agents can't run whatever they want in a sandbox, which would make them less capable too.
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