package model import ( "context" "errors" "fmt" "os" "path/filepath" "slices" "strings" "time" "github.com/klauspost/cpuid/v2" grpc "github.com/mudler/LocalAI/pkg/grpc" "github.com/mudler/LocalAI/pkg/library" "github.com/mudler/LocalAI/pkg/utils" "github.com/mudler/LocalAI/pkg/xsysinfo" "github.com/phayes/freeport" "github.com/rs/zerolog/log" "github.com/elliotchance/orderedmap/v2" ) var Aliases map[string]string = map[string]string{ "go-llama": LLamaCPP, "llama": LLamaCPP, "embedded-store": LocalStoreBackend, "langchain-huggingface": LCHuggingFaceBackend, } var autoDetect = os.Getenv("DISABLE_AUTODETECT") != "true" const ( LlamaGGML = "llama-ggml" LLamaCPP = "llama-cpp" LLamaCPPAVX2 = "llama-cpp-avx2" LLamaCPPAVX = "llama-cpp-avx" LLamaCPPFallback = "llama-cpp-fallback" LLamaCPPCUDA = "llama-cpp-cuda" LLamaCPPHipblas = "llama-cpp-hipblas" LLamaCPPSycl16 = "llama-cpp-sycl_16" LLamaCPPSycl32 = "llama-cpp-sycl_32" LLamaCPPGRPC = "llama-cpp-grpc" Gpt4AllLlamaBackend = "gpt4all-llama" Gpt4AllMptBackend = "gpt4all-mpt" Gpt4AllJBackend = "gpt4all-j" Gpt4All = "gpt4all" BertEmbeddingsBackend = "bert-embeddings" RwkvBackend = "rwkv" WhisperBackend = "whisper" StableDiffusionBackend = "stablediffusion" TinyDreamBackend = "tinydream" PiperBackend = "piper" LCHuggingFaceBackend = "huggingface" LocalStoreBackend = "local-store" ) func backendPath(assetDir, backend string) string { return filepath.Join(assetDir, "backend-assets", "grpc", backend) } // backendsInAssetDir returns the list of backends in the asset directory // that should be loaded func backendsInAssetDir(assetDir string) ([]string, error) { // Exclude backends from automatic loading excludeBackends := []string{LocalStoreBackend} entry, err := os.ReadDir(backendPath(assetDir, "")) if err != nil { return nil, err } backends := make(map[string][]string) ENTRY: for _, e := range entry { for _, exclude := range excludeBackends { if e.Name() == exclude { continue ENTRY } } if e.IsDir() { continue } // Skip the llama.cpp variants if we are autoDetecting // But we always load the fallback variant if it exists if strings.Contains(e.Name(), LLamaCPP) && !strings.Contains(e.Name(), LLamaCPPFallback) && autoDetect { continue } backends[e.Name()] = []string{} } // if we are autoDetecting, we want to show the llama.cpp variants as a single backend if autoDetect { // if we find the llama.cpp variants, show them of as a single backend (llama-cpp) as later we are going to pick that up // when starting the service foundLCPPAVX, foundLCPPAVX2, foundLCPPFallback, foundLCPPGRPC, foundLCPPCuda, foundLCPPHipblas, foundSycl16, foundSycl32 := false, false, false, false, false, false, false, false if _, ok := backends[LLamaCPP]; !ok { for _, e := range entry { if strings.Contains(e.Name(), LLamaCPPAVX2) && !foundLCPPAVX2 { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPAVX2) foundLCPPAVX2 = true } if strings.Contains(e.Name(), LLamaCPPAVX) && !foundLCPPAVX { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPAVX) foundLCPPAVX = true } if strings.Contains(e.Name(), LLamaCPPFallback) && !foundLCPPFallback { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPFallback) foundLCPPFallback = true } if strings.Contains(e.Name(), LLamaCPPGRPC) && !foundLCPPGRPC { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPGRPC) foundLCPPGRPC = true } if strings.Contains(e.Name(), LLamaCPPCUDA) && !foundLCPPCuda { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPCUDA) foundLCPPCuda = true } if strings.Contains(e.Name(), LLamaCPPHipblas) && !foundLCPPHipblas { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPHipblas) foundLCPPHipblas = true } if strings.Contains(e.Name(), LLamaCPPSycl16) && !foundSycl16 { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPSycl16) foundSycl16 = true } if strings.Contains(e.Name(), LLamaCPPSycl32) && !foundSycl32 { backends[LLamaCPP] = append(backends[LLamaCPP], LLamaCPPSycl32) foundSycl32 = true } } } } // order backends from the asset directory. // as we scan for backends, we want to keep some order which backends are tried of. // for example, llama.cpp should be tried first, and we want to keep the huggingface backend at the last. // sets a priority list - first has more priority priorityList := []string{ // First llama.cpp(variants) and llama-ggml to follow. // We keep the fallback to prevent that if the llama.cpp variants // that depends on shared libs if breaks have still a safety net. LLamaCPP, LlamaGGML, Gpt4All, LLamaCPPFallback, } toTheEnd := []string{ // last has to be huggingface LCHuggingFaceBackend, // then bert embeddings BertEmbeddingsBackend, } // create an ordered map orderedBackends := orderedmap.NewOrderedMap[string, any]() // add priorityList first for _, p := range priorityList { if _, ok := backends[p]; ok { orderedBackends.Set(p, backends[p]) } } for k, v := range backends { if !slices.Contains(toTheEnd, k) { if _, ok := orderedBackends.Get(k); !ok { orderedBackends.Set(k, v) } } } for _, t := range toTheEnd { if _, ok := backends[t]; ok { orderedBackends.Set(t, backends[t]) } } return orderedBackends.Keys(), nil } // selectGRPCProcess selects the GRPC process to start based on system capabilities func selectGRPCProcess(backend, assetDir string, f16 bool) string { foundCUDA := false foundAMDGPU := false foundIntelGPU := false var grpcProcess string // Select backend now just for llama.cpp if backend != LLamaCPP { return "" } // Note: This environment variable is read by the LocalAI's llama.cpp grpc-server if os.Getenv("LLAMACPP_GRPC_SERVERS") != "" { log.Info().Msgf("[%s] attempting to load with GRPC variant", LLamaCPPGRPC) return backendPath(assetDir, LLamaCPPGRPC) } gpus, err := xsysinfo.GPUs() if err == nil { for _, gpu := range gpus { if strings.Contains(gpu.String(), "nvidia") { p := backendPath(assetDir, LLamaCPPCUDA) if _, err := os.Stat(p); err == nil { log.Info().Msgf("[%s] attempting to load with CUDA variant", backend) grpcProcess = p foundCUDA = true } else { log.Info().Msgf("GPU device found but no CUDA backend present") } } if strings.Contains(gpu.String(), "amd") { p := backendPath(assetDir, LLamaCPPHipblas) if _, err := os.Stat(p); err == nil { log.Info().Msgf("[%s] attempting to load with HIPBLAS variant", backend) grpcProcess = p foundAMDGPU = true } else { log.Info().Msgf("GPU device found but no HIPBLAS backend present") } } if strings.Contains(gpu.String(), "intel") { backend := LLamaCPPSycl16 if !f16 { backend = LLamaCPPSycl32 } p := backendPath(assetDir, backend) if _, err := os.Stat(p); err == nil { log.Info().Msgf("[%s] attempting to load with Intel variant", backend) grpcProcess = p foundIntelGPU = true } else { log.Info().Msgf("GPU device found but no Intel backend present") } } } } if foundCUDA || foundAMDGPU || foundIntelGPU { return grpcProcess } if xsysinfo.HasCPUCaps(cpuid.AVX2) { log.Info().Msgf("[%s] attempting to load with AVX2 variant", backend) grpcProcess = backendPath(assetDir, LLamaCPPAVX2) } else if xsysinfo.HasCPUCaps(cpuid.AVX) { log.Info().Msgf("[%s] attempting to load with AVX variant", backend) grpcProcess = backendPath(assetDir, LLamaCPPAVX) } else { log.Info().Msgf("[%s] attempting to load with fallback variant", backend) grpcProcess = backendPath(assetDir, LLamaCPPFallback) } return grpcProcess } // starts the grpcModelProcess for the backend, and returns a grpc client // It also loads the model func (ml *ModelLoader) grpcModel(backend string, o *Options) func(string, string) (ModelAddress, error) { return func(modelName, modelFile string) (ModelAddress, error) { log.Debug().Msgf("Loading Model %s with gRPC (file: %s) (backend: %s): %+v", modelName, modelFile, backend, *o) var client ModelAddress getFreeAddress := func() (string, error) { port, err := freeport.GetFreePort() if err != nil { return "", fmt.Errorf("failed allocating free ports: %s", err.Error()) } return fmt.Sprintf("127.0.0.1:%d", port), nil } // If no specific model path is set for transformers/HF, set it to the model path for _, env := range []string{"HF_HOME", "TRANSFORMERS_CACHE", "HUGGINGFACE_HUB_CACHE"} { if os.Getenv(env) == "" { err := os.Setenv(env, ml.ModelPath) if err != nil { log.Error().Err(err).Str("name", env).Str("modelPath", ml.ModelPath).Msg("unable to set environment variable to modelPath") } } } // Check if the backend is provided as external if uri, ok := o.externalBackends[backend]; ok { log.Debug().Msgf("Loading external backend: %s", uri) // check if uri is a file or a address if _, err := os.Stat(uri); err == nil { serverAddress, err := getFreeAddress() if err != nil { return "", fmt.Errorf("failed allocating free ports: %s", err.Error()) } // Make sure the process is executable if err := ml.startProcess(uri, o.model, serverAddress); err != nil { return "", err } log.Debug().Msgf("GRPC Service Started") client = ModelAddress(serverAddress) } else { // address client = ModelAddress(uri) } } else { grpcProcess := backendPath(o.assetDir, backend) if err := utils.VerifyPath(grpcProcess, o.assetDir); err != nil { return "", fmt.Errorf("grpc process not found in assetdir: %s", err.Error()) } if autoDetect { // autoDetect GRPC process to start based on system capabilities if selectedProcess := selectGRPCProcess(backend, o.assetDir, o.gRPCOptions.F16Memory); selectedProcess != "" { grpcProcess = selectedProcess } } // Check if the file exists if _, err := os.Stat(grpcProcess); os.IsNotExist(err) { return "", fmt.Errorf("grpc process not found: %s. some backends(stablediffusion, tts) require LocalAI compiled with GO_TAGS", grpcProcess) } serverAddress, err := getFreeAddress() if err != nil { return "", fmt.Errorf("failed allocating free ports: %s", err.Error()) } args := []string{} // Load the ld.so if it exists args, grpcProcess = library.LoadLDSO(o.assetDir, args, grpcProcess) // Make sure the process is executable in any circumstance if err := ml.startProcess(grpcProcess, o.model, serverAddress, args...); err != nil { return "", err } log.Debug().Msgf("GRPC Service Started") client = ModelAddress(serverAddress) } // Wait for the service to start up ready := false for i := 0; i < o.grpcAttempts; i++ { alive, err := client.GRPC(o.parallelRequests, ml.wd).HealthCheck(context.Background()) if alive { log.Debug().Msgf("GRPC Service Ready") ready = true break } if err != nil && i == o.grpcAttempts-1 { log.Error().Err(err).Msg("failed starting/connecting to the gRPC service") } time.Sleep(time.Duration(o.grpcAttemptsDelay) * time.Second) } if !ready { log.Debug().Msgf("GRPC Service NOT ready") return "", fmt.Errorf("grpc service not ready") } options := *o.gRPCOptions options.Model = modelName options.ModelFile = modelFile log.Debug().Msgf("GRPC: Loading model with options: %+v", options) res, err := client.GRPC(o.parallelRequests, ml.wd).LoadModel(o.context, &options) if err != nil { return "", fmt.Errorf("could not load model: %w", err) } if !res.Success { return "", fmt.Errorf("could not load model (no success): %s", res.Message) } return client, nil } } func (ml *ModelLoader) resolveAddress(addr ModelAddress, parallel bool) (grpc.Backend, error) { if parallel { return addr.GRPC(parallel, ml.wd), nil } if _, ok := ml.grpcClients[string(addr)]; !ok { ml.grpcClients[string(addr)] = addr.GRPC(parallel, ml.wd) } return ml.grpcClients[string(addr)], nil } func (ml *ModelLoader) BackendLoader(opts ...Option) (client grpc.Backend, err error) { o := NewOptions(opts...) if o.model != "" { log.Info().Msgf("Loading model '%s' with backend %s", o.model, o.backendString) } else { log.Info().Msgf("Loading model with backend %s", o.backendString) } backend := strings.ToLower(o.backendString) if realBackend, exists := Aliases[backend]; exists { backend = realBackend log.Debug().Msgf("%s is an alias of %s", backend, realBackend) } if o.singleActiveBackend { ml.mu.Lock() log.Debug().Msgf("Stopping all backends except '%s'", o.model) err := ml.StopAllExcept(o.model) ml.mu.Unlock() if err != nil { log.Error().Err(err).Str("keptModel", o.model).Msg("error while shutting down all backends except for the keptModel") return nil, err } } var backendToConsume string switch backend { case Gpt4AllLlamaBackend, Gpt4AllMptBackend, Gpt4AllJBackend, Gpt4All: o.gRPCOptions.LibrarySearchPath = filepath.Join(o.assetDir, "backend-assets", "gpt4all") backendToConsume = Gpt4All case PiperBackend: o.gRPCOptions.LibrarySearchPath = filepath.Join(o.assetDir, "backend-assets", "espeak-ng-data") backendToConsume = PiperBackend default: backendToConsume = backend } addr, err := ml.LoadModel(o.model, ml.grpcModel(backendToConsume, o)) if err != nil { return nil, err } return ml.resolveAddress(addr, o.parallelRequests) } func (ml *ModelLoader) GreedyLoader(opts ...Option) (grpc.Backend, error) { o := NewOptions(opts...) ml.mu.Lock() // Return earlier if we have a model already loaded // (avoid looping through all the backends) if m := ml.CheckIsLoaded(o.model); m != "" { log.Debug().Msgf("Model '%s' already loaded", o.model) ml.mu.Unlock() return ml.resolveAddress(m, o.parallelRequests) } // If we can have only one backend active, kill all the others (except external backends) if o.singleActiveBackend { log.Debug().Msgf("Stopping all backends except '%s'", o.model) err := ml.StopAllExcept(o.model) if err != nil { log.Error().Err(err).Str("keptModel", o.model).Msg("error while shutting down all backends except for the keptModel - greedyloader continuing") } } ml.mu.Unlock() var err error // get backends embedded in the binary autoLoadBackends, err := backendsInAssetDir(o.assetDir) if err != nil { return nil, err } // append externalBackends supplied by the user via the CLI for _, b := range o.externalBackends { autoLoadBackends = append(autoLoadBackends, b) } log.Debug().Msgf("Loading from the following backends (in order): %+v", autoLoadBackends) if o.model != "" { log.Info().Msgf("Trying to load the model '%s' with the backend '%s'", o.model, autoLoadBackends) } for _, key := range autoLoadBackends { log.Info().Msgf("[%s] Attempting to load", key) options := []Option{ WithBackendString(key), WithModel(o.model), WithLoadGRPCLoadModelOpts(o.gRPCOptions), WithThreads(o.threads), WithAssetDir(o.assetDir), } for k, v := range o.externalBackends { options = append(options, WithExternalBackend(k, v)) } model, modelerr := ml.BackendLoader(options...) if modelerr == nil && model != nil { log.Info().Msgf("[%s] Loads OK", key) return model, nil } else if modelerr != nil { err = errors.Join(err, fmt.Errorf("[%s]: %w", key, modelerr)) log.Info().Msgf("[%s] Fails: %s", key, modelerr.Error()) } else if model == nil { err = errors.Join(err, fmt.Errorf("backend %s returned no usable model", key)) log.Info().Msgf("[%s] Fails: %s", key, "backend returned no usable model") } if autoDetect && key == LLamaCPP && err != nil { backendToUse := LLamaCPPFallback if xsysinfo.HasCPUCaps(cpuid.AVX2) { backendToUse = LLamaCPPAVX2 } else if xsysinfo.HasCPUCaps(cpuid.AVX) { backendToUse = LLamaCPPAVX } // Autodetection failed, try the fallback log.Info().Msgf("[%s] Autodetection failed, trying the fallback", key) options = append(options, WithBackendString(backendToUse)) model, modelerr = ml.BackendLoader(options...) if modelerr == nil && model != nil { log.Info().Msgf("[%s] Loads OK", key) return model, nil } else { err = errors.Join(err, fmt.Errorf("[%s]: %w", key, modelerr)) log.Info().Msgf("[%s] Fails: %s", key, modelerr.Error()) } } } return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error()) }