Comments (2)
FYI, I wrote a backend to do this, and ended up doing enough to make it usable for others.
Just published it here: https://github.com/ShelbyJenkins/llm_client/
IMO, I think it makes more sense to integrate these features into this library rather than duplicating the code.
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Hello, Thank you for your appreciation.
The challenge here is maintainence, I'd rather stick with just one provider which is OpenAI. If multiple providers do converge into same APIs then this crate should work with the changes in open PR #125
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Related Issues (20)
- Tokenizer support HOT 2
- Missing names in ChatCompletionRequest[User, System, Assistant]Message
- Example of multiple function calls HOT 2
- how to change base_url? HOT 2
- text to speech - flac format does not seem to work HOT 9
- Auto Generation from OpenAPI spec HOT 2
- impls.rs: AssistantTools HOT 3
- query for client files list seems to be missing HOT 1
- Why is there a \n\n prepended to the response? HOT 2
- Changing base url - Usage with open source LLM - Invalid status code: 404 Not Found HOT 3
- Stabilizing wasm target HOT 2
- Support text-to-speech (TTS) streaming functionality HOT 12
- Advanced error handling for OpenAI-like LLM APIs
- Test compilation failed HOT 2
- Support variable length embeddings HOT 3
- OpenAI transcriptions api language field is invalid ! HOT 1
- Embedding deserialization error when using encoding_format `EncodingFormat::Base64`
- Ollama AI Chat Completion Example / OpenAI Compatibility HOT 3
- Sync OpenAPI spec changes after 4th Jan 24 HOT 1
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