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I've been using a similar trick to scrape the visible internal source code of ChatGPT Code Interpreter into a GitHub repository for a while now: https://github.com/simonw/scrape-openai-code-interpreter

It's mostly useful for tracking what Python packages are available (and what versions): https://github.com/simonw/scrape-openai-code-interpreter/blo...



Meanwhile they could just decide to publish this list in a document somewhere and keep it automatically up to date with their infra.

But not, secrecy for the sake of secrecy.


Tbh I doubt this is secrecy.

More likely just noone has taken the time and effort to do it.


What would the benefit of doing this be?


It's documentation. Makes it much easier for people to know what kind of problems they can solve using Code Interpreter.

It's a bit absurd that the best available documentation for that feature exists in my hacky scraped GitHub repository.


That's a very good point. Let me speak with some folks and see what I can do.


I just used this package list (and sandbox limitations) to synthesize a taxonomy of capabilities: https://gist.github.com/trbielec/a00a58fa97a232bef8984cc8d01...




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