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Comment by jsheard | Hacker News Reader

To be clear, this is an open-source frontend for a not-open-source AI provider. It's calling OpenAI behind the scenes.

Fair enough. With that said, support for running a local, self-hosted, and non-OpenAI cloud-hosted models is in the works.

"Open source" need to be banned from the titles of these kinds of submissions. Or at least you should have to call it an "API client".

The post title as written seems intentionally deceptive.

I think not everyone understands why it's very important that the term mean more than "I put something in GitHub".

Especially when that something is promoting the opposite of open source. (That's "open sores", which is different.)

That sounds like a personal preference. The repo is public and welcomes contributors which by definition is open-source. There's nothing deceptive about it, but you're free to get pedantic over it all you'd like.

Can it call anything self hosted or ollama?

It should be possible using LiteLLM and a patch or a proxy.

https://github.com/BerriAI/litellm

That's on the roadmap

Can one enter their own opeanai URL and api-key? (so we can use openai-compatible things like openrouter or lm-studio)?

Doesn't look like it: https://gitlab.com/literally-useful/voxos/-/blob/dev/voxos/s...

edit: shouldn't be hard to enable though

Yes, you can define your own key in either the .env, CLI call on run.sh, or in your environment.

https://gitlab.com/literally-useful/voxos/-/blob/dev/.env?re...

That doesn't let me send requests to my local litellm instance, though. You have to be able to configure the endpoint that requests are sent against as well.

Nice. LiteLLM was just the thing I've been looking for and hoping to integrate.

Hell yeah. Good luck!

Do you know if there's anything out there like LiteLLM that includes OpenAI's whisper model? I took a look at the litellm package and it doesn't appear they support the audio module. :/

I'm not sure if it is _fully_ openai compatible, but whispercpp has a server bundled that says it is "OAI-like": https://github.com/ggerganov/whisper.cpp/tree/master/example...

I don't have any direct experience with it... I've only played around with whisper locally, using scripts.

https://github.com/mudler/LocalAI

I think anything compatible with either chat completions or completions API should work.

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