Files
LocalAI/pkg/grpc/server.go
Richard Palethorpe 6a80e23733 feat(middleware): Model routing, PII filtering, Cloud model proxies (#9802)
Add a routing middleware stack and a cloud-proxy backend.

* cloud-proxy: a Go gRPC backend that forwards OpenAI- and
  Anthropic-shaped chat requests to upstream providers, with an
  optional translate mode (OpenAI request -> Anthropic /v1/messages
  -> OpenAI response) and full tool-calling support.

* routing: admission control, content-aware model routing
  (embedding cache + classifier + rerank + Arch-Router score),
  PII detection/redaction (regex + NER) with streaming filter and
  OpenAI/Anthropic adapters, and a per-user/per-key billing recorder
  backed by GORM or in-memory storage.

* middleware: UsageMiddleware records usage via the billing recorder,
  plus admission, route-model, usage-stamp and trace middlewares.

* observability: BackendTrace ring buffer stores full request bodies
  (capped), MITM proxy emits structured trace events, and router
  classifier decisions surface at /api/router/decide.

* gallery: Arch-Router-1.5B (Q4_K_M and Q8_0).

* UI: cloud-proxy model-editor fields, classifier system-prompt and
  score-normalization config, and a Traces page rendering request
  bodies.

Assisted-by: claude-code:claude-opus-4-7 [Read] [Edit] [Bash]

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-05-25 09:28:27 +02:00

869 lines
21 KiB
Go

package grpc
import (
"context"
"crypto/subtle"
"errors"
"fmt"
"io"
"log"
"net"
"os"
"strings"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"google.golang.org/grpc"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/metadata"
"google.golang.org/grpc/status"
)
// A GRPC Server that allows to run LLM inference.
// It is used by the LLMServices to expose the LLM functionalities that are called by the client.
// The GRPC Service is general, trying to encompass all the possible LLM options models.
// It depends on the real implementer then what can be done or not.
//
// The server is implemented as a GRPC service, with the following methods:
// - Predict: to run the inference with options
// - PredictStream: to run the inference with options and stream the results
// server is used to implement helloworld.GreeterServer.
type server struct {
pb.UnimplementedBackendServer
llm AIModel
}
func (s *server) Health(ctx context.Context, in *pb.HealthMessage) (*pb.Reply, error) {
return newReply("OK"), nil
}
func (s *server) Embedding(ctx context.Context, in *pb.PredictOptions) (*pb.EmbeddingResult, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
embeds, err := s.llm.Embeddings(in)
if err != nil {
return nil, err
}
return &pb.EmbeddingResult{Embeddings: embeds}, nil
}
func (s *server) LoadModel(ctx context.Context, in *pb.ModelOptions) (*pb.Result, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
err := s.llm.Load(in)
if err != nil {
return &pb.Result{Message: fmt.Sprintf("Error loading model: %s", err.Error()), Success: false}, err
}
return &pb.Result{Message: "Loading succeeded", Success: true}, nil
}
func (s *server) Predict(ctx context.Context, in *pb.PredictOptions) (*pb.Reply, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
if rich, ok := s.llm.(AIModelRich); ok {
return rich.PredictRich(in)
}
result, err := s.llm.Predict(in)
return newReply(result), err
}
func (s *server) GenerateImage(ctx context.Context, in *pb.GenerateImageRequest) (*pb.Result, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
err := s.llm.GenerateImage(in)
if err != nil {
return &pb.Result{Message: fmt.Sprintf("Error generating image: %s", err.Error()), Success: false}, err
}
return &pb.Result{Message: "Image generated", Success: true}, nil
}
func (s *server) GenerateVideo(ctx context.Context, in *pb.GenerateVideoRequest) (*pb.Result, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
err := s.llm.GenerateVideo(in)
if err != nil {
return &pb.Result{Message: fmt.Sprintf("Error generating video: %s", err.Error()), Success: false}, err
}
return &pb.Result{Message: "Video generated", Success: true}, nil
}
func (s *server) TTS(ctx context.Context, in *pb.TTSRequest) (*pb.Result, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
err := s.llm.TTS(in)
if err != nil {
return &pb.Result{Message: fmt.Sprintf("Error generating audio: %s", err.Error()), Success: false}, err
}
return &pb.Result{Message: "TTS audio generated", Success: true}, nil
}
func (s *server) TTSStream(in *pb.TTSRequest, stream pb.Backend_TTSStreamServer) error {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
audioChan := make(chan []byte)
done := make(chan bool)
go func() {
for audioChunk := range audioChan {
stream.Send(&pb.Reply{Audio: audioChunk})
}
done <- true
}()
err := s.llm.TTSStream(in, audioChan)
<-done
return err
}
func (s *server) SoundGeneration(ctx context.Context, in *pb.SoundGenerationRequest) (*pb.Result, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
err := s.llm.SoundGeneration(in)
if err != nil {
return &pb.Result{Message: fmt.Sprintf("Error generating audio: %s", err.Error()), Success: false}, err
}
return &pb.Result{Message: "Sound Generation audio generated", Success: true}, nil
}
func (s *server) Detect(ctx context.Context, in *pb.DetectOptions) (*pb.DetectResponse, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
res, err := s.llm.Detect(in)
if err != nil {
return nil, err
}
return &res, nil
}
func (s *server) FaceVerify(ctx context.Context, in *pb.FaceVerifyRequest) (*pb.FaceVerifyResponse, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
res, err := s.llm.FaceVerify(in)
if err != nil {
return nil, err
}
return &res, nil
}
func (s *server) FaceAnalyze(ctx context.Context, in *pb.FaceAnalyzeRequest) (*pb.FaceAnalyzeResponse, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
res, err := s.llm.FaceAnalyze(in)
if err != nil {
return nil, err
}
return &res, nil
}
func (s *server) VoiceVerify(ctx context.Context, in *pb.VoiceVerifyRequest) (*pb.VoiceVerifyResponse, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
res, err := s.llm.VoiceVerify(in)
if err != nil {
return nil, err
}
return &res, nil
}
func (s *server) VoiceAnalyze(ctx context.Context, in *pb.VoiceAnalyzeRequest) (*pb.VoiceAnalyzeResponse, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
res, err := s.llm.VoiceAnalyze(in)
if err != nil {
return nil, err
}
return &res, nil
}
func (s *server) VoiceEmbed(ctx context.Context, in *pb.VoiceEmbedRequest) (*pb.VoiceEmbedResponse, error) {
if s.llm.Locking() {
s.llm.Lock()
defer s.llm.Unlock()
}
res, err := s.llm.VoiceEmbed(in)
if err != nil {
return nil, err
}
return &res, nil
}
func (s *server) AudioTranscription(ctx context.Context, in *pb.TranscriptRequest) (*pb.TranscriptResult, error) {
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))
}
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,
})
}
tresult.Text = result.Text
tresult.Language = result.Language
tresult.Duration = result.Duration
return tresult, nil
}
func (s *server) AudioTranscriptionStream(in *pb.TranscriptRequest, stream pb.Backend_AudioTranscriptionStreamServer) error {
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
}
func (s *server) PredictStream(in *pb.PredictOptions, stream pb.Backend_PredictStreamServer) error {
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(...)`.
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 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) 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 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 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) 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 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"
// 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
}