[robbomacrae]

This is amazing. I agree with your take except "You’re not actually zeroizing the secrets"... I think it is actually calling zeroize() explicitly after use.

Can I get your review/roast on my approach with OrcaBot.com? DM me if I can incentivize you.. Code is available:

https://github.com/Hyper-Int/OrcaBot

enveil = encrypt-at-rest, decrypt-into-env-vars and hope the process doesn't look.

Orcabot = secrets never enter the LLM's process at all. The broker is a separate process that acts as a credential-injecting reverse proxy. The LLM's SDK thinks it's talking to localhost (the broker adds the real auth header and forwards to the real API). The secret crosses a process boundary that the LLM cannot reach.

[ctmnt]

I think we're both right about zeroize. Added a reply to clarify. In short, yes, the key and password are getting zeroized, but not the actual secrets. Which seems like the thing that matters in this context, at least given the tool's stated aims.

OrcaBot: There's a lot there! Ambitious project. Cute name, who doesn't love orcas? I don't see anything screamingly bad, of the variety that would inspire me to write essays about random people's code.

Some thoughts: The line between dev mode and production is a bit thin and lightly enforced. Given the overall security approach, you could firm that up. The within-VM shared workspace undermines the isolated PTYs. If your rate-limiting middleware fails, you allow all requests through. `SECRETS_ENCRYPTION_KEY` is the one ring and it doesn't have any versioning or rotation mechanisms.

In general it seems like a good approach! But there are spots where one thing being misconfigured could blow the entire system open. I suggest taking a pass through it with that in mind. Good luck.

[robbomacrae]

Thank you! Great feedback. Again agree with you on all points. Will take it onboard!