mirror of
https://github.com/mudler/LocalAI.git
synced 2026-10-28 09:08:54 -04:00
* feat(grpc): add a Forecast RPC for time-series models Add Forecast to the backend service with columnar request and response messages: flat row-major arrays, NaN for missing values, and one message per series so a caller can send series of different shapes in one call. The response keeps the request order. Wire the RPC through the server, client, embedded client, connection evicting client, in-flight tracking client and the base backend, which answers unimplemented. core/backend gains a Forecast helper that stamps the model identity and records a trace, like the other single-purpose RPCs. Assisted-by: Claude:claude-sonnet-5-5 go-vet * feat(config): add the forecast usecase FLAG_FORECAST marks a model as a time-series forecaster. The timestral-cpp backend declares it as its default usecase, so a config with that backend needs no extra lines. The backend is also listed as a non-text backend, so a forecast model is never offered as a chat model. It shows up in the gallery filter and in the capability list. Assisted-by: Claude:claude-sonnet-5-5 go-vet * feat(api): add POST /v1/forecast Take one or more numeric series and return quantile trajectories for the next prediction_length steps. Targets are [variates][steps] or a flat array for one variate; JSON null marks a missing value. Past and known covariates and categorical codes are checked for length before the backend sees them. Quantiles default to 0.1, 0.5 and 0.9 in the backend. The route is gated by a new default-on forecast API feature. The endpoint is listed in the swagger spec, the /api/instructions index, the UI model filter and the capability symbols. Assisted-by: Claude:claude-sonnet-5-5 go-vet * feat(backends): add the timestral-cpp forecast backend Wrap the timestral.cpp C ABI with purego, the way the other ggml backends do: libtimestral is built from a pinned commit with ggml embedded, and the Go binary loads it at start. Forecast validates the counts against the array lengths, groups the series by shape, makes one library call per group and puts the results back in the order the caller sent them. Quantiles default to 0.1, 0.5 and 0.9, and a level the model does not have is refused with the list of valid ones. A mutex guards the handle because the library is not reentrant. Request size is bounded by two model options. The unit specs use a fake library. The integration specs and a gRPC spec run against the 5M F32 model that test.sh downloads and checks against a fixed SHA-256. Assisted-by: Claude:claude-sonnet-5-5 go-vet * build(backends): register timestral-cpp in the build and the library Add the CPU image to the backend matrix for amd64 and arm64, plus an Apple silicon entry that is not built or tested yet. The image has no GPU keys because the engine runs on the CPU only. Wire the make targets, the path filter and the dependency bump bot. The library entries were generated with backendcatalog. The images are not published yet, so the release entries are unpinned until a maintainer runs --repin. The gallery reader test now counts the names in the library instead of a fixed number, so adding a backend does not break it. Assisted-by: Claude:claude-sonnet-5-5 go-vet * feat(gallery): add the Timestral forecast models Add Timestral 5M, 28M, 123M and 209M as F32 entries, each with its F16 build as a variant. Q8_0 and the K-quants are left out until the quality question is settled. Each entry runs on the timestral-cpp backend, on the CPU only. The weights use Mistral's Modified MIT licence, which bars use by companies above a monthly revenue threshold. The first paragraph after the summary says so, the licence file is installed next to the weights, and the revenue-restricted-license tag makes the entries filterable. The memory each build needs has not been measured, so no size is set. Assisted-by: Claude:claude-sonnet-5-5 * docs(forecast): document /v1/forecast and the Timestral models Add a feature page with the request and response shapes, the error cases, the model options and the licence note. List the engine in the README, the compatibility table and the backend categories. Assisted-by: Claude:claude-sonnet-5-5 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
1222 lines
31 KiB
Go
1222 lines
31 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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"sync"
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"github.com/mudler/LocalAI/pkg/grpc/grpcerrors"
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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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// identityMu guards loadedIdentity: LoadModel writes it, the inference
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// RPCs read it, and nothing serialises those against each other
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// (llm.Locking() is the model's own lock, and it is optional).
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identityMu sync.RWMutex
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loadedIdentity string
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}
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// identifiedRequest is satisfied by every request message that carries a
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// ModelIdentity field. protoc-gen-go generates GetModelIdentity with a
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// nil-receiver guard, so a typed-nil request is safe to pass here.
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type identifiedRequest interface {
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GetModelIdentity() string
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}
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// checkModelIdentity reports an error when the request names a model other
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// than the one this process loaded. It is the point-of-use half of the fix for
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// #10952: in distributed mode a worker can recycle a stopped backend's gRPC
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// port for another model's backend, and the controller's liveness-only health
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// probe cannot tell a stale cached route from a valid one, so the backend has
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// to be the one to catch it.
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//
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// Either side being empty means "skip the check". The request side is empty
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// for a controller that predates the field and for internally synthesized
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// requests; the loaded side is empty when such a controller performed the
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// load. Neither can judge the other, and a false rejection is far worse than
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// the miss.
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//
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// One guard covers every modality because they all share one exposure: the
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// route is cached by address, the address can be recycled, and only the
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// backend can tell. Which RPCs call it is the whole enforcement surface — see
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// pkg/grpc/model_identity_modalities_test.go, which drives all of them.
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func (s *server) checkModelIdentity(in identifiedRequest) error {
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if in == nil || in.GetModelIdentity() == "" {
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return nil
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}
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s.identityMu.RLock()
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loaded := s.loadedIdentity
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s.identityMu.RUnlock()
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if loaded == "" || loaded == in.GetModelIdentity() {
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return nil
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}
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return grpcerrors.ModelMismatch("grpc-server", loaded, in.GetModelIdentity())
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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{
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Embeddings: embeds,
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Layout: pb.EmbeddingLayout_EMBEDDING_LAYOUT_FINAL,
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}, nil
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}
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func (s *server) TokenClassify(ctx context.Context, in *pb.TokenClassifyRequest) (*pb.TokenClassifyResponse, error) {
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if err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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cm, ok := s.llm.(ClassifyModel)
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if !ok {
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return nil, status.Errorf(codes.Unimplemented, "method TokenClassify not implemented")
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}
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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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return cm.TokenClassify(ctx, in)
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}
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func (s *server) Score(ctx context.Context, in *pb.ScoreRequest) (*pb.ScoreResponse, error) {
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if err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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sm, ok := s.llm.(ScoreModel)
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if !ok {
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return nil, status.Errorf(codes.Unimplemented, "method Score not implemented")
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}
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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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return sm.Score(ctx, in)
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}
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func (s *server) Rerank(ctx context.Context, in *pb.RerankRequest) (*pb.RerankResult, error) {
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if err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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rm, ok := s.llm.(RerankModel)
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if !ok {
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return nil, status.Errorf(codes.Unimplemented, "method Rerank not implemented")
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}
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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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return rm.Rerank(ctx, in)
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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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// Record what we loaded so the PredictOptions RPCs can reject requests
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// meant for a different model. Only on success: a failed load leaves no
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// model, which IsModelNotLoaded already covers.
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s.identityMu.Lock()
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s.loadedIdentity = in.Model
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s.identityMu.Unlock()
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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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if rich, ok := s.llm.(AIModelRichContext); ok {
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return rich.PredictRichContext(ctx, in)
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}
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if rich, ok := s.llm.(AIModelRich); ok {
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return rich.PredictRich(in)
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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) UpscaleImage(ctx context.Context, in *pb.UpscaleImageRequest) (*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.UpscaleImage(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error upscaling image: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "Image upscaled", 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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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) Animate3D(ctx context.Context, in *pb.Animate3DRequest) (*pb.Result, error) {
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if err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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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if model, ok := s.llm.(AnimationMetadataModel); ok {
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metadata, err := model.Animate3DWithMetadata(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.Result{Message: "3D animation generated", Success: true, Metadata: metadata}, nil
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}
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if err := s.llm.Animate3D(in); err != nil {
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return nil, err
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}
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return &pb.Result{Message: "3D animation generated", Success: true}, nil
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}
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func (s *server) Generate3D(ctx context.Context, in *pb.Generate3DRequest) (*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.Generate3D(in)
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if err != nil {
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return &pb.Result{Message: fmt.Sprintf("Error generating 3D asset: %s", err.Error()), Success: false}, err
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}
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return &pb.Result{Message: "3D asset 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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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 err := s.checkModelIdentity(in); err != nil {
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return err
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}
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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) Depth(ctx context.Context, in *pb.DepthRequest) (*pb.DepthResponse, error) {
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if err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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.Depth(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) Forecast(ctx context.Context, in *pb.ForecastRequest) (*pb.ForecastResponse, error) {
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if err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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.Forecast(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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
|
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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 err := s.checkModelIdentity(in); err != nil {
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return nil, err
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}
|
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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 {
|
|
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) {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return nil, err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
result, err := s.llm.AudioTranscription(ctx, in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
tresult := &pb.TranscriptResult{}
|
|
for _, s := range result.Segments {
|
|
tks := []int32{}
|
|
for _, t := range s.Tokens {
|
|
tks = append(tks, int32(t))
|
|
}
|
|
words := make([]*pb.TranscriptWord, 0, len(s.Words))
|
|
for _, w := range s.Words {
|
|
words = append(words, &pb.TranscriptWord{
|
|
Start: int64(w.Start),
|
|
End: int64(w.End),
|
|
Text: w.Text,
|
|
})
|
|
}
|
|
tresult.Segments = append(tresult.Segments,
|
|
&pb.TranscriptSegment{
|
|
Text: s.Text,
|
|
Id: int32(s.Id),
|
|
Start: int64(s.Start),
|
|
End: int64(s.End),
|
|
Tokens: tks,
|
|
Speaker: s.Speaker,
|
|
Words: words,
|
|
})
|
|
}
|
|
|
|
tresult.Text = result.Text
|
|
tresult.Language = result.Language
|
|
tresult.Duration = result.Duration
|
|
tresult.Eou = result.Eou
|
|
return tresult, nil
|
|
}
|
|
|
|
func (s *server) AudioTranscriptionStream(in *pb.TranscriptRequest, stream pb.Backend_AudioTranscriptionStreamServer) error {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
resultChan := make(chan *pb.TranscriptStreamResponse)
|
|
|
|
done := make(chan bool)
|
|
go func() {
|
|
for chunk := range resultChan {
|
|
stream.Send(chunk)
|
|
}
|
|
done <- true
|
|
}()
|
|
|
|
err := s.llm.AudioTranscriptionStream(stream.Context(), in, resultChan)
|
|
<-done
|
|
|
|
return err
|
|
}
|
|
|
|
// AudioTranscriptionLive is the bidirectional live ASR handler. The shape
|
|
// mirrors AudioTransformStream exactly (recv → in chan, out chan → send) so
|
|
// backends implement it with the same goroutine idiom.
|
|
func (s *server) AudioTranscriptionLive(stream pb.Backend_AudioTranscriptionLiveServer) error {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
|
|
in := make(chan *pb.TranscriptLiveRequest, 4)
|
|
out := make(chan *pb.TranscriptLiveResponse, 4)
|
|
|
|
// Pump incoming messages from the gRPC stream into `in`. EOF closes the
|
|
// channel, which signals the backend to finalize the decode session.
|
|
recvErrCh := make(chan error, 1)
|
|
go func() {
|
|
defer close(in)
|
|
for {
|
|
req, err := stream.Recv()
|
|
if err != nil {
|
|
if errors.Is(err, io.EOF) {
|
|
recvErrCh <- nil
|
|
return
|
|
}
|
|
recvErrCh <- err
|
|
return
|
|
}
|
|
select {
|
|
case in <- req:
|
|
case <-stream.Context().Done():
|
|
recvErrCh <- stream.Context().Err()
|
|
return
|
|
}
|
|
}
|
|
}()
|
|
|
|
// Pump outgoing responses 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.AudioTranscriptionLive(in, out)
|
|
sendErr := <-sendDone
|
|
|
|
// Unlike AudioTransformStream, do NOT wait for the recv pump when the
|
|
// backend failed: callers block on the first Recv for the ready ack, so
|
|
// an unsupported backend (Unimplemented) must surface immediately, not
|
|
// after the client gives up and closes its send side. Returning cancels
|
|
// the stream context, which unwinds the recv goroutine.
|
|
if backendErr != nil {
|
|
return backendErr
|
|
}
|
|
if sendErr != nil {
|
|
return sendErr
|
|
}
|
|
return <-recvErrCh
|
|
}
|
|
|
|
func (s *server) PredictStream(in *pb.PredictOptions, stream pb.Backend_PredictStreamServer) error {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
|
|
if rich, ok := s.llm.(AIModelRich); ok {
|
|
replyChan := make(chan *pb.Reply)
|
|
done := make(chan bool)
|
|
go func() {
|
|
for reply := range replyChan {
|
|
// Send errors here mean the client disconnected;
|
|
// drain the rest of the channel so the producer
|
|
// (PredictStreamRich) doesn't block on the next
|
|
// reply forever.
|
|
_ = stream.Send(reply)
|
|
}
|
|
done <- true
|
|
}()
|
|
// Server-side close: PredictStreamRich implementations send into
|
|
// the channel and return when finished; closing is the host's
|
|
// concern so impls don't have to remember `defer close(...)`.
|
|
var err error
|
|
if withCtx, ok := s.llm.(AIModelRichContext); ok {
|
|
err = withCtx.PredictStreamRichContext(stream.Context(), in, replyChan)
|
|
} else {
|
|
err = rich.PredictStreamRich(in, replyChan)
|
|
}
|
|
close(replyChan)
|
|
<-done
|
|
return err
|
|
}
|
|
|
|
resultChan := make(chan string)
|
|
done := make(chan bool)
|
|
go func() {
|
|
for result := range resultChan {
|
|
stream.Send(newReply(result))
|
|
}
|
|
done <- true
|
|
}()
|
|
|
|
err := s.llm.PredictStream(in, resultChan)
|
|
<-done
|
|
|
|
return err
|
|
}
|
|
|
|
func (s *server) TokenizeString(ctx context.Context, in *pb.PredictOptions) (*pb.TokenizationResponse, error) {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return nil, err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.TokenizeString(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
castTokens := make([]int32, len(res.Tokens))
|
|
for i, v := range res.Tokens {
|
|
castTokens[i] = int32(v)
|
|
}
|
|
|
|
return &pb.TokenizationResponse{
|
|
Length: int32(res.Length),
|
|
Tokens: castTokens,
|
|
}, err
|
|
}
|
|
|
|
func (s *server) Detokenize(ctx context.Context, in *pb.DetokenizeRequest) (*pb.DetokenizeResponse, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.Detokenize(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return &res, nil
|
|
}
|
|
|
|
func (s *server) Status(ctx context.Context, in *pb.HealthMessage) (*pb.StatusResponse, error) {
|
|
res, err := s.llm.Status()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
return &res, nil
|
|
}
|
|
|
|
func (s *server) StoresSet(ctx context.Context, in *pb.StoresSetOptions) (*pb.Result, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
err := s.llm.StoresSet(in)
|
|
if err != nil {
|
|
return &pb.Result{Message: fmt.Sprintf("Error setting entry: %s", err.Error()), Success: false}, err
|
|
}
|
|
return &pb.Result{Message: "Set key", Success: true}, nil
|
|
}
|
|
|
|
func (s *server) StoresDelete(ctx context.Context, in *pb.StoresDeleteOptions) (*pb.Result, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
err := s.llm.StoresDelete(in)
|
|
if err != nil {
|
|
return &pb.Result{Message: fmt.Sprintf("Error deleting entry: %s", err.Error()), Success: false}, err
|
|
}
|
|
return &pb.Result{Message: "Deleted key", Success: true}, nil
|
|
}
|
|
|
|
func (s *server) StoresGet(ctx context.Context, in *pb.StoresGetOptions) (*pb.StoresGetResult, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.StoresGet(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return &res, nil
|
|
}
|
|
|
|
func (s *server) StoresFind(ctx context.Context, in *pb.StoresFindOptions) (*pb.StoresFindResult, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.StoresFind(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return &res, nil
|
|
}
|
|
|
|
func (s *server) VAD(ctx context.Context, in *pb.VADRequest) (*pb.VADResponse, error) {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return nil, err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.VAD(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return &res, nil
|
|
}
|
|
|
|
func (s *server) Diarize(ctx context.Context, in *pb.DiarizeRequest) (*pb.DiarizeResponse, error) {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return nil, err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.Diarize(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return &res, nil
|
|
}
|
|
|
|
func (s *server) SoundDetection(ctx context.Context, in *pb.SoundDetectionRequest) (*pb.SoundDetectionResponse, error) {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return nil, err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
return s.llm.SoundDetection(ctx, in)
|
|
}
|
|
|
|
func (s *server) AudioEncode(ctx context.Context, in *pb.AudioEncodeRequest) (*pb.AudioEncodeResult, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.AudioEncode(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) AudioDecode(ctx context.Context, in *pb.AudioDecodeRequest) (*pb.AudioDecodeResult, error) {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.AudioDecode(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) AudioTransform(ctx context.Context, in *pb.AudioTransformRequest) (*pb.AudioTransformResult, error) {
|
|
if err := s.checkModelIdentity(in); err != nil {
|
|
return nil, err
|
|
}
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
res, err := s.llm.AudioTransform(in)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
func (s *server) AudioTransformStream(stream pb.Backend_AudioTransformStreamServer) error {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
|
|
in := make(chan *pb.AudioTransformFrameRequest, 4)
|
|
out := make(chan *pb.AudioTransformFrameResponse, 4)
|
|
|
|
// Pump incoming frames from the gRPC stream into `in`. EOF closes the
|
|
// channel, which signals the backend that the client is done sending.
|
|
recvErrCh := make(chan error, 1)
|
|
go func() {
|
|
defer close(in)
|
|
for {
|
|
req, err := stream.Recv()
|
|
if err != nil {
|
|
if errors.Is(err, io.EOF) {
|
|
recvErrCh <- nil
|
|
return
|
|
}
|
|
recvErrCh <- err
|
|
return
|
|
}
|
|
select {
|
|
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
|
|
}
|
|
|
|
// AudioToAudioStream is the bidirectional any-to-any S2S handler. The
|
|
// shape mirrors AudioTransformStream exactly (recv → in chan, out chan →
|
|
// send) so backends can implement either via the same goroutine idiom.
|
|
func (s *server) AudioToAudioStream(stream pb.Backend_AudioToAudioStreamServer) error {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
|
|
in := make(chan *pb.AudioToAudioRequest, 8)
|
|
out := make(chan *pb.AudioToAudioResponse, 8)
|
|
|
|
recvErrCh := make(chan error, 1)
|
|
go func() {
|
|
defer close(in)
|
|
for {
|
|
req, err := stream.Recv()
|
|
if err != nil {
|
|
if errors.Is(err, io.EOF) {
|
|
recvErrCh <- nil
|
|
return
|
|
}
|
|
recvErrCh <- err
|
|
return
|
|
}
|
|
select {
|
|
case in <- req:
|
|
case <-stream.Context().Done():
|
|
recvErrCh <- stream.Context().Err()
|
|
return
|
|
}
|
|
}
|
|
}()
|
|
|
|
sendDone := make(chan error, 1)
|
|
go func() {
|
|
for resp := range out {
|
|
if err := stream.Send(resp); err != nil {
|
|
sendDone <- err
|
|
for range out {
|
|
}
|
|
return
|
|
}
|
|
}
|
|
sendDone <- nil
|
|
}()
|
|
|
|
backendErr := s.llm.AudioToAudioStream(in, out)
|
|
sendErr := <-sendDone
|
|
recvErr := <-recvErrCh
|
|
|
|
if backendErr != nil {
|
|
return backendErr
|
|
}
|
|
if sendErr != nil {
|
|
return sendErr
|
|
}
|
|
return recvErr
|
|
}
|
|
|
|
// Forward is the bidi-stream handler for the cloud-proxy backend's
|
|
// passthrough mode. Same recv→in / out→send goroutine idiom as
|
|
// AudioTransformStream / AudioToAudioStream above. Buffer size 8 to
|
|
// keep SSE token streams flowing — at 4, a half-RTT slow gRPC client
|
|
// makes the body-read goroutine in the backend block on out<- after
|
|
// every few token frames.
|
|
func (s *server) Forward(stream pb.Backend_ForwardServer) error {
|
|
if s.llm.Locking() {
|
|
s.llm.Lock()
|
|
defer s.llm.Unlock()
|
|
}
|
|
|
|
in := make(chan *pb.ForwardRequest, 8)
|
|
out := make(chan *pb.ForwardReply, 8)
|
|
|
|
recvErrCh := make(chan error, 1)
|
|
go func() {
|
|
defer close(in)
|
|
for {
|
|
req, err := stream.Recv()
|
|
if err != nil {
|
|
if errors.Is(err, io.EOF) {
|
|
recvErrCh <- nil
|
|
return
|
|
}
|
|
recvErrCh <- err
|
|
return
|
|
}
|
|
select {
|
|
case in <- req:
|
|
case <-stream.Context().Done():
|
|
recvErrCh <- stream.Context().Err()
|
|
return
|
|
}
|
|
}
|
|
}()
|
|
|
|
sendDone := make(chan error, 1)
|
|
go func() {
|
|
for resp := range out {
|
|
if err := stream.Send(resp); err != nil {
|
|
sendDone <- err
|
|
for range out {
|
|
}
|
|
return
|
|
}
|
|
}
|
|
sendDone <- nil
|
|
}()
|
|
|
|
backendErr := s.llm.Forward(stream.Context(), 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" // #nosec G101 -- the name of an environment variable, not a credential
|
|
|
|
// 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())
|
|
// Safety net: self-terminate if the LocalAI process that spawned this
|
|
// backend dies without running its graceful teardown (see parentwatch.go).
|
|
startParentDeathWatcher()
|
|
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())
|
|
// Safety net: self-terminate if the LocalAI process that spawned this
|
|
// backend dies without running its graceful teardown (see parentwatch.go).
|
|
startParentDeathWatcher()
|
|
if err = s.Serve(lis); err != nil {
|
|
return func() error {
|
|
return lis.Close()
|
|
}, err
|
|
}
|
|
|
|
return func() error {
|
|
s.GracefulStop()
|
|
return nil
|
|
}, nil
|
|
}
|