mirror of
https://github.com/mudler/LocalAI.git
synced 2026-05-17 13:10:23 -04:00
feat(audio-transform): add LocalVQE backend, bidi gRPC RPC, Studio UI
Introduce a generic "audio transform" capability for any audio-in / audio-out
operation (echo cancellation, noise suppression, dereverberation, voice
conversion, etc.) and ship LocalVQE as the first backend implementation.
Backend protocol:
- Two new gRPC RPCs in backend.proto: unary AudioTransform for batch and
bidirectional AudioTransformStream for low-latency frame-by-frame use.
This is the first bidi stream in the proto; per-frame unary at LocalVQE's
16 ms hop would be RTT-bound. Wire it through pkg/grpc/{client,server,
embed,interface,base} with paired-channel ergonomics.
LocalVQE backend (backend/go/localvqe/):
- Go-Purego wrapper around upstream liblocalvqe.so. CMake builds the upstream
shared lib + its libggml-cpu-*.so runtime variants directly — no MODULE
wrapper needed because LocalVQE handles CPU feature selection internally
via GGML_BACKEND_DL.
- Sets GGML_NTHREADS from opts.Threads (or runtime.NumCPU()-1) — without it
LocalVQE runs single-threaded at ~1× realtime instead of the documented
~9.6×.
- Reference-length policy: zero-pad short refs, truncate long ones (the
trailing portion can't have leaked into a mic that wasn't recording).
- Ginkgo test suite (9 always-on specs + 2 model-gated).
HTTP layer:
- POST /audio/transformations (alias /audio/transform): multipart batch
endpoint, accepts audio + optional reference + params[*]=v form fields.
Persists inputs alongside the output in GeneratedContentDir/audio so the
React UI history can replay past (audio, reference, output) triples.
- GET /audio/transformations/stream: WebSocket bidi, 16 ms PCM frames
(interleaved stereo mic+ref in, mono out). JSON session.update envelope
for config; constants hoisted in core/schema/audio_transform.go.
- ffmpeg-based input normalisation to 16 kHz mono s16 WAV via the existing
utils.AudioToWav (with passthrough fast-path), so the user can upload any
format / rate without seeing the model's strict 16 kHz constraint.
- BackendTraceAudioTransform integration so /api/backend-traces and the
Traces UI light up with audio_snippet base64 and timing.
- Routes registered under routes/localai.go (LocalAI extension; OpenAI has
no /audio/transformations endpoint), traced via TraceMiddleware.
Auth + capability + importer:
- FLAG_AUDIO_TRANSFORM (model_config.go), FeatureAudioTransform (default-on,
in APIFeatures), three RouteFeatureRegistry rows.
- localvqe added to knownPrefOnlyBackends with modality "audio-transform".
- Gallery entry localvqe-v1-1.3m (sha256-pinned, hosted on
huggingface.co/LocalAI-io/LocalVQE).
React UI:
- New /app/transform page surfaced via a dedicated "Enhance" sidebar
section (sibling of Tools / Biometrics) — the page is enhancement, not
generation, so it lives outside Studio. Two AudioInput components
(Upload + Record tabs, drag-drop, mic capture).
- Echo-test button: records mic while playing the loaded reference through
the speakers — the mic naturally picks up speaker bleed, giving a real
(mic, ref) pair for AEC testing without leaving the UI.
- Reusable WaveformPlayer (canvas peaks + click-to-seek + audio controls)
and useAudioPeaks hook (shared module-scoped AudioContext to avoid
hitting browser context limits with three players on one page); migrated
TTS, Sound, Traces audio blocks to use it.
- Past runs saved in localStorage via useMediaHistory('audio-transform') —
the history entry stores all three URLs so clicking re-renders the full
triple, not just the output.
Build + e2e:
- 11 matrix entries removed from .github/workflows/backend.yml (CUDA, ROCm,
SYCL, Metal, L4T): upstream supports only CPU + Vulkan, so we ship those
two and let GPU-class hardware route through Vulkan in the gallery
capabilities map.
- tests-localvqe-grpc-transform job in test-extra.yml (gated on
detect-changes.outputs.localvqe).
- New audio_transform capability + 4 specs in tests/e2e-backends.
- Playwright spec suite in core/http/react-ui/e2e/audio-transform.spec.js
(8 specs covering tabs, file upload, multipart shape, history, errors).
Docs:
- New docs/content/features/audio-transform.md covering the (audio,
reference) mental model, batch + WebSocket wire formats, LocalVQE param
keys, and a YAML config example. Cross-links from text-to-audio and
audio-to-text feature pages.
Assisted-by: Claude:claude-opus-4-7 [Bash Read Edit Write Agent TaskCreate]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
709 lines
18 KiB
Go
709 lines
18 KiB
Go
package grpc
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import (
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"context"
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"crypto/subtle"
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"errors"
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"fmt"
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"io"
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"log"
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"net"
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"os"
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"strings"
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pb "github.com/mudler/LocalAI/pkg/grpc/proto"
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"google.golang.org/grpc"
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"google.golang.org/grpc/codes"
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"google.golang.org/grpc/metadata"
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"google.golang.org/grpc/status"
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)
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// A GRPC Server that allows to run LLM inference.
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// It is used by the LLMServices to expose the LLM functionalities that are called by the client.
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// The GRPC Service is general, trying to encompass all the possible LLM options models.
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// It depends on the real implementer then what can be done or not.
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//
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// The server is implemented as a GRPC service, with the following methods:
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// - Predict: to run the inference with options
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// - PredictStream: to run the inference with options and stream the results
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// server is used to implement helloworld.GreeterServer.
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type server struct {
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pb.UnimplementedBackendServer
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llm AIModel
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}
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func (s *server) Health(ctx context.Context, in *pb.HealthMessage) (*pb.Reply, error) {
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return newReply("OK"), nil
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}
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func (s *server) Embedding(ctx context.Context, in *pb.PredictOptions) (*pb.EmbeddingResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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embeds, err := s.llm.Embeddings(in)
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if err != nil {
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return nil, err
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}
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return &pb.EmbeddingResult{Embeddings: embeds}, nil
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}
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func (s *server) LoadModel(ctx context.Context, in *pb.ModelOptions) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.Load(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error loading model: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Loading succeeded", Success: true}, nil
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}
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func (s *server) Predict(ctx context.Context, in *pb.PredictOptions) (*pb.Reply, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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result, err := s.llm.Predict(in)
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return newReply(result), err
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}
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func (s *server) GenerateImage(ctx context.Context, in *pb.GenerateImageRequest) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.GenerateImage(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error generating image: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Image generated", Success: true}, nil
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}
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func (s *server) GenerateVideo(ctx context.Context, in *pb.GenerateVideoRequest) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.GenerateVideo(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error generating video: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Video generated", Success: true}, nil
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}
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func (s *server) TTS(ctx context.Context, in *pb.TTSRequest) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.TTS(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error generating audio: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "TTS audio generated", Success: true}, nil
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}
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func (s *server) TTSStream(in *pb.TTSRequest, stream pb.Backend_TTSStreamServer) error {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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audioChan := make(chan []byte)
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done := make(chan bool)
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go func() {
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for audioChunk := range audioChan {
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stream.Send(&pb.Reply{Audio: audioChunk})
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}
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done <- true
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}()
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err := s.llm.TTSStream(in, audioChan)
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<-done
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return err
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}
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func (s *server) SoundGeneration(ctx context.Context, in *pb.SoundGenerationRequest) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.SoundGeneration(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error generating audio: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Sound Generation audio generated", Success: true}, nil
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}
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func (s *server) Detect(ctx context.Context, in *pb.DetectOptions) (*pb.DetectResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.Detect(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) FaceVerify(ctx context.Context, in *pb.FaceVerifyRequest) (*pb.FaceVerifyResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.FaceVerify(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) FaceAnalyze(ctx context.Context, in *pb.FaceAnalyzeRequest) (*pb.FaceAnalyzeResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.FaceAnalyze(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) VoiceVerify(ctx context.Context, in *pb.VoiceVerifyRequest) (*pb.VoiceVerifyResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.VoiceVerify(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) VoiceAnalyze(ctx context.Context, in *pb.VoiceAnalyzeRequest) (*pb.VoiceAnalyzeResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.VoiceAnalyze(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) VoiceEmbed(ctx context.Context, in *pb.VoiceEmbedRequest) (*pb.VoiceEmbedResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.VoiceEmbed(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) AudioTranscription(ctx context.Context, in *pb.TranscriptRequest) (*pb.TranscriptResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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result, err := s.llm.AudioTranscription(in)
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if err != nil {
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return nil, err
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}
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tresult := &pb.TranscriptResult{}
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for _, s := range result.Segments {
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tks := []int32{}
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for _, t := range s.Tokens {
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tks = append(tks, int32(t))
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}
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tresult.Segments = append(tresult.Segments,
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&pb.TranscriptSegment{
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Text: s.Text,
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Id: int32(s.Id),
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Start: int64(s.Start),
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End: int64(s.End),
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Tokens: tks,
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Speaker: s.Speaker,
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})
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}
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tresult.Text = result.Text
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tresult.Language = result.Language
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tresult.Duration = result.Duration
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return tresult, nil
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}
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func (s *server) AudioTranscriptionStream(in *pb.TranscriptRequest, stream pb.Backend_AudioTranscriptionStreamServer) error {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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resultChan := make(chan *pb.TranscriptStreamResponse)
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done := make(chan bool)
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go func() {
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for chunk := range resultChan {
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stream.Send(chunk)
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}
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done <- true
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}()
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err := s.llm.AudioTranscriptionStream(in, resultChan)
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<-done
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return err
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}
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func (s *server) PredictStream(in *pb.PredictOptions, stream pb.Backend_PredictStreamServer) error {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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resultChan := make(chan string)
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done := make(chan bool)
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go func() {
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for result := range resultChan {
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stream.Send(newReply(result))
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}
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done <- true
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}()
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err := s.llm.PredictStream(in, resultChan)
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<-done
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return err
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}
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func (s *server) TokenizeString(ctx context.Context, in *pb.PredictOptions) (*pb.TokenizationResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.TokenizeString(in)
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if err != nil {
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return nil, err
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}
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castTokens := make([]int32, len(res.Tokens))
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for i, v := range res.Tokens {
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castTokens[i] = int32(v)
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}
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return &pb.TokenizationResponse{
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Length: int32(res.Length),
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Tokens: castTokens,
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}, err
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}
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func (s *server) Status(ctx context.Context, in *pb.HealthMessage) (*pb.StatusResponse, error) {
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res, err := s.llm.Status()
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) StoresSet(ctx context.Context, in *pb.StoresSetOptions) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.StoresSet(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error setting entry: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Set key", Success: true}, nil
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}
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func (s *server) StoresDelete(ctx context.Context, in *pb.StoresDeleteOptions) (*pb.Result, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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err := s.llm.StoresDelete(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error deleting entry: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Deleted key", Success: true}, nil
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}
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func (s *server) StoresGet(ctx context.Context, in *pb.StoresGetOptions) (*pb.StoresGetResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.StoresGet(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) StoresFind(ctx context.Context, in *pb.StoresFindOptions) (*pb.StoresFindResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.StoresFind(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) VAD(ctx context.Context, in *pb.VADRequest) (*pb.VADResponse, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.VAD(in)
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if err != nil {
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return nil, err
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}
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return &res, nil
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}
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func (s *server) AudioEncode(ctx context.Context, in *pb.AudioEncodeRequest) (*pb.AudioEncodeResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.AudioEncode(in)
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if err != nil {
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return nil, err
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}
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return res, nil
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}
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func (s *server) AudioDecode(ctx context.Context, in *pb.AudioDecodeRequest) (*pb.AudioDecodeResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.AudioDecode(in)
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if err != nil {
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return nil, err
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}
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return res, nil
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}
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func (s *server) AudioTransform(ctx context.Context, in *pb.AudioTransformRequest) (*pb.AudioTransformResult, error) {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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res, err := s.llm.AudioTransform(in)
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if err != nil {
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return nil, err
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}
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return res, nil
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}
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func (s *server) AudioTransformStream(stream pb.Backend_AudioTransformStreamServer) error {
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if s.llm.Locking() {
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s.llm.Lock()
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defer s.llm.Unlock()
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}
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in := make(chan *pb.AudioTransformFrameRequest, 4)
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out := make(chan *pb.AudioTransformFrameResponse, 4)
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// Pump incoming frames from the gRPC stream into `in`. EOF closes the
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// channel, which signals the backend that the client is done sending.
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recvErrCh := make(chan error, 1)
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go func() {
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defer close(in)
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for {
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req, err := stream.Recv()
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if err != nil {
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if errors.Is(err, io.EOF) {
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recvErrCh <- nil
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return
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}
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recvErrCh <- err
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return
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}
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select {
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case in <- req:
|
|
case <-stream.Context().Done():
|
|
recvErrCh <- stream.Context().Err()
|
|
return
|
|
}
|
|
}
|
|
}()
|
|
|
|
// Pump outgoing frames from `out` to the gRPC stream. The backend closes
|
|
// `out` on completion.
|
|
sendDone := make(chan error, 1)
|
|
go func() {
|
|
for resp := range out {
|
|
if err := stream.Send(resp); err != nil {
|
|
sendDone <- err
|
|
// Drain `out` so the backend can finish.
|
|
for range out {
|
|
}
|
|
return
|
|
}
|
|
}
|
|
sendDone <- nil
|
|
}()
|
|
|
|
backendErr := s.llm.AudioTransformStream(in, out)
|
|
sendErr := <-sendDone
|
|
recvErr := <-recvErrCh
|
|
|
|
if backendErr != nil {
|
|
return backendErr
|
|
}
|
|
if sendErr != nil {
|
|
return sendErr
|
|
}
|
|
return recvErr
|
|
}
|
|
|
|
func (s *server) StartFineTune(ctx context.Context, in *pb.FineTuneRequest) (*pb.FineTuneJobResult, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.StartFineTune(in)
|
|
if err != nil {
|
|
return &pb.FineTuneJobResult{Success: false, Message: fmt.Sprintf("Error starting fine-tune: %s", err.Error())}, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) FineTuneProgress(in *pb.FineTuneProgressRequest, stream pb.Backend_FineTuneProgressServer) error {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
updateChan := make(chan *pb.FineTuneProgressUpdate)
|
|
|
|
done := make(chan bool)
|
|
go func() {
|
|
for update := range updateChan {
|
|
stream.Send(update)
|
|
}
|
|
done <- true
|
|
}()
|
|
|
|
err := s.llm.FineTuneProgress(in, updateChan)
|
|
<-done
|
|
|
|
return err
|
|
}
|
|
|
|
func (s *server) StopFineTune(ctx context.Context, in *pb.FineTuneStopRequest) (*pb.Result, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
err := s.llm.StopFineTune(in)
|
|
if err != nil {
|
|
return &pb.Result{Message: fmt.Sprintf("Error stopping fine-tune: %s", err.Error()), Success: false}, err
|
|
}
|
|
return &pb.Result{Message: "Fine-tune stopped", Success: true}, nil
|
|
}
|
|
|
|
func (s *server) ListCheckpoints(ctx context.Context, in *pb.ListCheckpointsRequest) (*pb.ListCheckpointsResponse, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.ListCheckpoints(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) ExportModel(ctx context.Context, in *pb.ExportModelRequest) (*pb.Result, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
err := s.llm.ExportModel(in)
|
|
if err != nil {
|
|
return &pb.Result{Message: fmt.Sprintf("Error exporting model: %s", err.Error()), Success: false}, err
|
|
}
|
|
return &pb.Result{Message: "Model exported", Success: true}, nil
|
|
}
|
|
|
|
func (s *server) StartQuantization(ctx context.Context, in *pb.QuantizationRequest) (*pb.QuantizationJobResult, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.StartQuantization(in)
|
|
if err != nil {
|
|
return &pb.QuantizationJobResult{Success: false, Message: fmt.Sprintf("Error starting quantization: %s", err.Error())}, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) QuantizationProgress(in *pb.QuantizationProgressRequest, stream pb.Backend_QuantizationProgressServer) error {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
updateChan := make(chan *pb.QuantizationProgressUpdate)
|
|
|
|
done := make(chan bool)
|
|
go func() {
|
|
for update := range updateChan {
|
|
stream.Send(update)
|
|
}
|
|
done <- true
|
|
}()
|
|
|
|
err := s.llm.QuantizationProgress(in, updateChan)
|
|
<-done
|
|
|
|
return err
|
|
}
|
|
|
|
func (s *server) StopQuantization(ctx context.Context, in *pb.QuantizationStopRequest) (*pb.Result, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
err := s.llm.StopQuantization(in)
|
|
if err != nil {
|
|
return &pb.Result{Message: fmt.Sprintf("Error stopping quantization: %s", err.Error()), Success: false}, err
|
|
}
|
|
return &pb.Result{Message: "Quantization stopped", Success: true}, nil
|
|
}
|
|
|
|
func (s *server) ModelMetadata(ctx context.Context, in *pb.ModelOptions) (*pb.ModelMetadataResponse, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.ModelMetadata(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) Free(ctx context.Context, in *pb.HealthMessage) (*pb.Result, error) {
|
|
if err := s.llm.Free(); err != nil {
|
|
return &pb.Result{Success: false, Message: err.Error()}, nil
|
|
}
|
|
return &pb.Result{Success: true}, nil
|
|
}
|
|
|
|
// NewBackendServer creates a pb.BackendServer.
|
|
func NewBackendServer(model AIModel) pb.BackendServer {
|
|
return &server{llm: model}
|
|
}
|
|
|
|
// AuthTokenEnvVar is the environment variable used to configure gRPC bearer token auth.
|
|
const AuthTokenEnvVar = "LOCALAI_GRPC_AUTH_TOKEN"
|
|
|
|
// validateToken extracts the bearer token from gRPC metadata and validates it.
|
|
func validateToken(ctx context.Context, expected string) error {
|
|
md, ok := metadata.FromIncomingContext(ctx)
|
|
if !ok {
|
|
return status.Error(codes.Unauthenticated, "missing metadata")
|
|
}
|
|
values := md.Get("authorization")
|
|
if len(values) == 0 {
|
|
return status.Error(codes.Unauthenticated, "missing authorization header")
|
|
}
|
|
raw := values[0]
|
|
if !strings.HasPrefix(raw, "Bearer ") {
|
|
return status.Error(codes.Unauthenticated, "authorization must use Bearer scheme")
|
|
}
|
|
token := strings.TrimPrefix(raw, "Bearer ")
|
|
if subtle.ConstantTimeCompare([]byte(token), []byte(expected)) != 1 {
|
|
return status.Error(codes.Unauthenticated, "invalid token")
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func tokenUnaryInterceptor(token string) grpc.UnaryServerInterceptor {
|
|
return func(ctx context.Context, req any, info *grpc.UnaryServerInfo, handler grpc.UnaryHandler) (any, error) {
|
|
if err := validateToken(ctx, token); err != nil {
|
|
return nil, err
|
|
}
|
|
return handler(ctx, req)
|
|
}
|
|
}
|
|
|
|
func tokenStreamInterceptor(token string) grpc.StreamServerInterceptor {
|
|
return func(srv any, ss grpc.ServerStream, info *grpc.StreamServerInfo, handler grpc.StreamHandler) error {
|
|
if err := validateToken(ss.Context(), token); err != nil {
|
|
return err
|
|
}
|
|
return handler(srv, ss)
|
|
}
|
|
}
|
|
|
|
// serverOpts returns the common gRPC server options, including auth interceptors
|
|
// when LOCALAI_GRPC_AUTH_TOKEN is set.
|
|
func serverOpts() []grpc.ServerOption {
|
|
opts := []grpc.ServerOption{
|
|
grpc.MaxRecvMsgSize(maxGRPCMessageSize),
|
|
grpc.MaxSendMsgSize(maxGRPCMessageSize),
|
|
}
|
|
if token := os.Getenv(AuthTokenEnvVar); token != "" {
|
|
opts = append(opts,
|
|
grpc.UnaryInterceptor(tokenUnaryInterceptor(token)),
|
|
grpc.StreamInterceptor(tokenStreamInterceptor(token)),
|
|
)
|
|
log.Printf("gRPC auth enabled via %s", AuthTokenEnvVar)
|
|
}
|
|
return opts
|
|
}
|
|
|
|
func StartServer(address string, model AIModel) error {
|
|
lis, err := net.Listen("tcp", address)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
s := grpc.NewServer(serverOpts()...)
|
|
pb.RegisterBackendServer(s, &server{llm: model})
|
|
log.Printf("gRPC Server listening at %v", lis.Addr())
|
|
if err := s.Serve(lis); err != nil {
|
|
return err
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func RunServer(address string, model AIModel) (func() error, error) {
|
|
lis, err := net.Listen("tcp", address)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
s := grpc.NewServer(serverOpts()...)
|
|
pb.RegisterBackendServer(s, &server{llm: model})
|
|
log.Printf("gRPC Server listening at %v", lis.Addr())
|
|
if err = s.Serve(lis); err != nil {
|
|
return func() error {
|
|
return lis.Close()
|
|
}, err
|
|
}
|
|
|
|
return func() error {
|
|
s.GracefulStop()
|
|
return nil
|
|
}, nil
|
|
}
|