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)
- Initialize `Client` with custom HTTP client, config, and backoff HOT 3
- Usage of std::thread::sleep inside async function in assistants example HOT 1
- Add retry on 504 Gateway Time-out and "connection closed before message completed" HOT 5
- Missing fields in `CreateTranscriptionResponse` HOT 2
- Supporting streams when running assistants HOT 3
- Set OPENAI_API_BASE to environment variable HOT 1
- Open
- Deserialize error when retrieve content HOT 2
- Failing to deserialize API response when translating audio with SRT output HOT 5
- &chat_choice.delta.function_call in the function-call-stream example has been deprecated HOT 2
- How to call async function through function-call HOT 2
- The type of messages in deserialized CreateChatCompletionRequest are all SystemMessage HOT 5
- 【help】Could you please give me an example of defining multiple functions? HOT 4
- assistants header HOT 1
- Spec sync May 2024
- Running the `assistants` example results in Error HOT 4
- Wrong type of function tools in Assistant
- Failing to deserialize `VectorStoreFileObject` HOT 4
- CreateChatCompletionRequest.max_tokens should be u32 HOT 1
- Error when using assistant HOT 4
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