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Comment by g4cg54g54

5 days ago

siderailing here - but got one that _actually_ works?

in particular i´d like to call claude-models - in openai-schema hosted by a reseller - with some proxy that offers anthropic format to my claude --- but it seems like nothing gets to fully line things up (double-translated tool names for example)

reseller is abacus.ai - tried BerriAI/litellm, musistudio/claude-code-router, ziozzang/claude2openai-proxy, 1rgs/claude-code-proxy, fuergaosi233/claude-code-proxy,

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g4cg54g54

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kristopolous  5 days ago

What probably needs to exist is something like `llsed`.

The invocation would be like this

    llsed --host 0.0.0.0 --port 8080 --map_file claude_to_openai.json --server https://openrouter.ai/api

Where the json has something like

    { tag: ... from: ..., to: ..., params: ..., pre: ..., post: ...}

So if one call is two, you can call multiple in the pre or post or rearrange things accordingly.

This sounds like the proper separation of concerns here... probably

The pre/post should probably be json-rpc that get lazy loaded.

Writing that now. Let's do this: https://github.com/day50-dev/llsed

  • eli  5 days ago

    Some unsolicited advice: Streaming support is tricky. I'd strip the streaming out when you proxy until everything else is solid.

    • kristopolous  4 days ago

      Cool. Sounds good. Thanks. I'll do it.

      This will be a bit challenging I'm sure but I agree, litellm and friends do too many things and take too long to get simple asks from

      I've been pitching this suite I'm building as "GNU coreutils for the LLM era"

      It's not sticking and nobody is hyped by it.

      I don't know if I should keep going or if this is my same old pattern cropping up again of things I really really like but just kinda me

      1 reply →

eli  5 days ago

I've been hacking on this one for a few months now and it works for me https://github.com/elidickinson/claude-code-mux Been optimizing for routing to different models within one session so maybe overkill.

But I'm surprised litellm (and its wrappers) don't work for you and I wonder if there's something wrong with your provider or model. Which model were you using?