LocalAI version: 4.4.1 (Homebrew bottle)
Environment: macOS (Apple Silicon, M1 Max), darwin/arm64
What happened
Neither the sherpa-onnx nor the speaker-recognition backend has a darwin/arm64 image, which leaves the new audio-identity endpoints without any working backend on macOS:
$ local-ai backends install sherpa-onnx
failed to get image "quay.io/go-skynet/local-ai-backends:latest-cpu-sherpa-onnx":
no child with platform darwin/arm64 in index quay.io/go-skynet/local-ai-backends:latest-cpu-sherpa-onnx
$ local-ai backends install speaker-recognition
failed to get image "quay.io/go-skynet/local-ai-backends:latest-cpu-speaker-recognition":
no child with platform darwin/arm64 in index quay.io/go-skynet/local-ai-backends:latest-cpu-speaker-recognition
Consequence
Request
Publish darwin/arm64 children for the sherpa-onnx and speaker-recognition backend images. sherpa-onnx is ONNX/CPU-based, so a darwin build should be reasonably portable — and it would make the diarization stack usable for the (large) population of local-AI users on Apple Silicon.
For context: metal-llama-cpp and metal-whisper install and run great on the same machine — LLM + ASR on macOS are already in excellent shape.
LocalAI version: 4.4.1 (Homebrew bottle)
Environment: macOS (Apple Silicon, M1 Max), darwin/arm64
What happened
Neither the
sherpa-onnxnor thespeaker-recognitionbackend has a darwin/arm64 image, which leaves the new audio-identity endpoints without any working backend on macOS:Consequence
/v1/audio/diarizationhas no usable backend on macOS: the sherpa-onnx path is unavailable (this issue), and the vibevoice-cpp darwin image is broken separately (darwin/arm64 vibevoice-cpp backend image ships sources instead of build artifacts — backend cannot start #10267)./v1/voice/embedis unavailable on macOS entirely.Request
Publish darwin/arm64 children for the
sherpa-onnxandspeaker-recognitionbackend images. sherpa-onnx is ONNX/CPU-based, so a darwin build should be reasonably portable — and it would make the diarization stack usable for the (large) population of local-AI users on Apple Silicon.For context:
metal-llama-cppandmetal-whisperinstall and run great on the same machine — LLM + ASR on macOS are already in excellent shape.