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🚨Breaking: Someone just open sourced a Python interpreter written in Rust and it's wild.
It's called Monty. And it's not a sandbox.
It's a minimal, secure Python runtime built specifically for AI agents -- and it starts in under 1 microsecond.
Here's what this thing does:
→ Runs Python code written by LLMs with zero sandbox overhead
→ Completely blocks filesystem, env vars, and network unless YOU allow it
→ Starts in 0.06ms vs Docker's 195ms and Pyodide's 2,800ms
→ Snapshots execution state mid-flight -- pause, serialize, resume later
→ Runs typechecking with `ty` baked into a single binary
→ Calls from Python, Rust, or JavaScript -- no CPython dependency
Here's the wildest part:
Docker takes 195ms to start. A sandboxing service takes 1,033ms.
Monty takes 0.06ms.
That's not a rounding error. That's a different category of tool entirely.
Every AI agent running today has the same problem: you either run LLM code directly on your host (YOLO Python -- zero security) or you spin up a container and wait 200ms per call.
Monty closes that gap. One import. No daemon. No image pull. No container escape risk.
The pydantic team built this to power code-mode in PydanticAI -- where LLMs write Python instead of making tool calls, and Monty executes it safely.
Cloudflare and Anthropic are already publishing on this exact paradigm....

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