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* feat(llama-cpp): add slot prompt-cache save and restore API Add POST /v1/slots/save and POST /v1/slots/restore. They write one llama.cpp slot's prompt cache (KV state) to a file and load it back, so a client can warm a long system prompt in a few hundred milliseconds instead of re-running prefill. Refs #12685. The new SlotCache gRPC call posts the same slot save and restore tasks the llama-server /slots endpoint uses. It is off unless the model sets the new slot_save_path option, so existing models are not affected. The /slots monitoring endpoint is not needed here: the backend has no HTTP server. The file name comes from the caller, so it is checked twice, in Go and again in the backend. It must be one path component: no empty name, "/", "\", "..", NUL, control characters or absolute path. The resolved path, with symbolic links followed, must be a direct child of slot_save_path. The routes are admin only because they write files on the backend host. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): answer 501 when a backend lacks slot cache A backend that does not implement the SlotCache rpc returns gRPC UNIMPLEMENTED. The API passed that text through, so the client saw "unknown method SlotCache". Map the status to a typed error in core/backend and return 501 with a fixed message instead. Every other error path is unchanged. Make the SlotCache comments in backend.proto backend-neutral: slot is the backend's state slot, filename must stay inside the save directory, and an empty model_identity means the backend does not check it. Only comments change, no field or name. Add tests that the identity sent is the configured model, and for the error mapping. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): issue slot cache IDs on the server The slot save and restore API let the client pick the file name. Restore could load any file in slot_save_path, and the symlink check ran before llama.cpp opened the file. The backend now issues the name. A save returns a random 128-bit ID (32 lowercase hex characters, read from /dev/urandom) and never overwrites an existing file. Files live in a 0700 directory per model, named from the SHA-256 of the model identity, with a manifest.json that records each save. The manifest is written atomically and a corrupt one stops both save and restore. A restore takes the ID, finds it in the manifest, refuses an entry of another model, builds the path from the entry and checks with lstat that it is a plain file of the recorded size. The directory mode is the main defence against another local user, since llama.cpp still opens the path itself. Each model keeps at most 32 saves and the oldest is deleted first. A file over 8 GiB is deleted after the save, because llama.cpp does not report the size before it writes. Responses carry no host path. The HTTP bodies change: save takes {model, slot}, restore takes {model, slot, id}, and an unknown ID returns 404. In the proto, SlotCacheRequest.filename and SlotCacheResponse.filename become id. SlotCache no longer calls checkModelIdentity, which reads a field this request does not have. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): copy slot_cache files in prepare.sh grpc-server.cpp includes slot_cache.h, but prepare.sh copies the helper headers into llama.cpp/tools/grpc-server/ one by one and skipped it. The llama-cpp, turboquant and bonsai builds share this step, so they all failed with "slot_cache.h: No such file or directory". Copy slot_cache.h and slot_cache_test.cpp, which CMakeLists.txt builds when LLAMA_GRPC_BUILD_TESTS is on. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(deps): bump LocalAGI to pick up the scheduler start/stop fix LocalAGI's scheduler could hit a nil pointer in run when Start and Stop raced. That made the core/services/agentpool tests panic at random and turned tests-linux red. Move to mudler/LocalAGI@7aa0c8fea0, the merge of mudler/LocalAGI#519 ("make Start and Stop safe to call concurrently"). The new module version also adds a few indirect requirements to go.mod and go.sum. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
156 lines
9.4 KiB
Go
156 lines
9.4 KiB
Go
package grpc
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import (
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"context"
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pb "github.com/mudler/LocalAI/pkg/grpc/proto"
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"google.golang.org/grpc"
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)
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var embeds = map[string]*embedBackend{}
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func Provide(addr string, llm AIModel) {
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embeds[addr] = &embedBackend{s: &server{llm: llm}}
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}
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func NewClient(address string, parallel bool, wd WatchDog, enableWatchDog bool) Backend {
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if bc, ok := embeds[address]; ok {
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return bc
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}
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return buildClient(address, parallel, wd, enableWatchDog, "")
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}
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// NewClientWithToken creates a gRPC client that sends a bearer token with every call.
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// Used in distributed mode to authenticate with remote backend processes.
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func NewClientWithToken(address string, parallel bool, wd WatchDog, enableWatchDog bool, token string) Backend {
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if bc, ok := embeds[address]; ok {
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return bc
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}
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return buildClient(address, parallel, wd, enableWatchDog, token)
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}
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func buildClient(address string, parallel bool, wd WatchDog, enableWatchDog bool, token string) Backend {
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if !enableWatchDog {
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wd = nil
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}
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return &Client{
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address: address,
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parallel: parallel,
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wd: wd,
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token: token,
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}
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}
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// Backend is the full client surface of a model backend. It is deliberately
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// composed of two sub-interfaces so that wrappers can get a COMPILE-TIME
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// guarantee about which methods they must account for:
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//
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// - InferenceBackend - methods that each perform one discrete inference call
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// (the call begins on entry and ends on return). A wrapper that does
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// per-call accounting - e.g. the distributed router's in-flight tracker,
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// core/services/nodes.InFlightTrackingClient - embeds only ControlBackend
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// and implements every InferenceBackend method explicitly. Adding a method
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// to InferenceBackend therefore breaks that wrapper's build until it is
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// implemented: inference can't be added without an accounting decision.
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// - ControlBackend - everything that is NOT a discrete inference call:
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// lifecycle/control-plane operations and the streaming constructors whose
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// work spans the returned stream rather than the constructor call. These
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// are safe to pass through untracked.
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//
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// Keep the two sets disjoint; every backend method belongs to exactly one.
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type Backend interface {
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InferenceBackend
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ControlBackend
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}
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// InferenceBackend is the subset of Backend whose methods each map to a single
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// inference call. Wrappers that account for in-flight work must implement these
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// explicitly (see Backend). Do NOT add methods that return a stream client or
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// that are control-plane only - those belong in ControlBackend.
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type InferenceBackend interface {
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Embeddings(ctx context.Context, in *pb.PredictOptions, opts ...grpc.CallOption) (*pb.EmbeddingResult, error)
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PredictStream(ctx context.Context, in *pb.PredictOptions, f func(reply *pb.Reply), opts ...grpc.CallOption) error
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Predict(ctx context.Context, in *pb.PredictOptions, opts ...grpc.CallOption) (*pb.Reply, error)
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GenerateImage(ctx context.Context, in *pb.GenerateImageRequest, opts ...grpc.CallOption) (*pb.Result, error)
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UpscaleImage(ctx context.Context, in *pb.UpscaleImageRequest, opts ...grpc.CallOption) (*pb.Result, error)
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GenerateVideo(ctx context.Context, in *pb.GenerateVideoRequest, opts ...grpc.CallOption) (*pb.Result, error)
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Generate3D(ctx context.Context, in *pb.Generate3DRequest, opts ...grpc.CallOption) (*pb.Result, error)
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Animate3D(ctx context.Context, in *pb.Animate3DRequest, opts ...grpc.CallOption) (*pb.Result, error)
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TTS(ctx context.Context, in *pb.TTSRequest, opts ...grpc.CallOption) (*pb.Result, error)
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TTSStream(ctx context.Context, in *pb.TTSRequest, f func(reply *pb.Reply), opts ...grpc.CallOption) error
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SoundGeneration(ctx context.Context, in *pb.SoundGenerationRequest, opts ...grpc.CallOption) (*pb.Result, error)
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AudioTranscription(ctx context.Context, in *pb.TranscriptRequest, opts ...grpc.CallOption) (*pb.TranscriptResult, error)
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AudioTranscriptionStream(ctx context.Context, in *pb.TranscriptRequest, f func(chunk *pb.TranscriptStreamResponse), opts ...grpc.CallOption) error
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Detect(ctx context.Context, in *pb.DetectOptions, opts ...grpc.CallOption) (*pb.DetectResponse, error)
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Depth(ctx context.Context, in *pb.DepthRequest, opts ...grpc.CallOption) (*pb.DepthResponse, error)
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FaceVerify(ctx context.Context, in *pb.FaceVerifyRequest, opts ...grpc.CallOption) (*pb.FaceVerifyResponse, error)
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FaceAnalyze(ctx context.Context, in *pb.FaceAnalyzeRequest, opts ...grpc.CallOption) (*pb.FaceAnalyzeResponse, error)
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VoiceVerify(ctx context.Context, in *pb.VoiceVerifyRequest, opts ...grpc.CallOption) (*pb.VoiceVerifyResponse, error)
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VoiceAnalyze(ctx context.Context, in *pb.VoiceAnalyzeRequest, opts ...grpc.CallOption) (*pb.VoiceAnalyzeResponse, error)
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VoiceEmbed(ctx context.Context, in *pb.VoiceEmbedRequest, opts ...grpc.CallOption) (*pb.VoiceEmbedResponse, error)
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Rerank(ctx context.Context, in *pb.RerankRequest, opts ...grpc.CallOption) (*pb.RerankResult, error)
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TokenClassify(ctx context.Context, in *pb.TokenClassifyRequest, opts ...grpc.CallOption) (*pb.TokenClassifyResponse, error)
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Score(ctx context.Context, in *pb.ScoreRequest, opts ...grpc.CallOption) (*pb.ScoreResponse, error)
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VAD(ctx context.Context, in *pb.VADRequest, opts ...grpc.CallOption) (*pb.VADResponse, error)
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Diarize(ctx context.Context, in *pb.DiarizeRequest, opts ...grpc.CallOption) (*pb.DiarizeResponse, error)
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SoundDetection(ctx context.Context, in *pb.SoundDetectionRequest, opts ...grpc.CallOption) (*pb.SoundDetectionResponse, error)
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AudioEncode(ctx context.Context, in *pb.AudioEncodeRequest, opts ...grpc.CallOption) (*pb.AudioEncodeResult, error)
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AudioDecode(ctx context.Context, in *pb.AudioDecodeRequest, opts ...grpc.CallOption) (*pb.AudioDecodeResult, error)
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AudioTransform(ctx context.Context, in *pb.AudioTransformRequest, opts ...grpc.CallOption) (*pb.AudioTransformResult, error)
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}
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// ControlBackend is the subset of Backend that is NOT per-call inference:
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// lifecycle/control-plane operations and the streaming constructors whose work
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// spans the returned stream rather than the constructor call. In-flight-tracking
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// wrappers embed this directly and pass it through untracked (see Backend).
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type ControlBackend interface {
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IsBusy() bool
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HealthCheck(ctx context.Context) (bool, error)
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LoadModel(ctx context.Context, in *pb.ModelOptions, opts ...grpc.CallOption) (*pb.Result, error)
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TokenizeString(ctx context.Context, in *pb.PredictOptions, opts ...grpc.CallOption) (*pb.TokenizationResponse, error)
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Detokenize(ctx context.Context, in *pb.DetokenizeRequest, opts ...grpc.CallOption) (*pb.DetokenizeResponse, error)
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Status(ctx context.Context) (*pb.StatusResponse, error)
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StoresSet(ctx context.Context, in *pb.StoresSetOptions, opts ...grpc.CallOption) (*pb.Result, error)
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StoresDelete(ctx context.Context, in *pb.StoresDeleteOptions, opts ...grpc.CallOption) (*pb.Result, error)
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StoresGet(ctx context.Context, in *pb.StoresGetOptions, opts ...grpc.CallOption) (*pb.StoresGetResult, error)
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StoresFind(ctx context.Context, in *pb.StoresFindOptions, opts ...grpc.CallOption) (*pb.StoresFindResult, error)
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GetTokenMetrics(ctx context.Context, in *pb.MetricsRequest, opts ...grpc.CallOption) (*pb.MetricsResponse, error)
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// SlotCache saves or restores one slot's prompt cache (llama.cpp only).
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SlotCache(ctx context.Context, in *pb.SlotCacheRequest, opts ...grpc.CallOption) (*pb.SlotCacheResponse, error)
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// Streaming constructors: these return a stream client immediately; the
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// actual inference spans the stream's lifetime, not this call, so they are
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// NOT tracked as a single in-flight unit.
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AudioTransformStream(ctx context.Context, opts ...grpc.CallOption) (AudioTransformStreamClient, error)
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AudioToAudioStream(ctx context.Context, opts ...grpc.CallOption) (AudioToAudioStreamClient, error)
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AudioTranscriptionLive(ctx context.Context, opts ...grpc.CallOption) (AudioTranscriptionLiveClient, error)
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MotionStream(ctx context.Context, opts ...grpc.CallOption) (MotionStreamClient, error)
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// Forward proxies a raw HTTP request to an upstream provider for
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// passthrough-mode cloud-proxy backends. Caller streams a single
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// ForwardRequest carrying path/method/headers/body, then closes
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// send; backend streams back status/headers in the first reply
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// and body chunks thereafter.
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Forward(ctx context.Context, opts ...grpc.CallOption) (ForwardClient, error)
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ModelMetadata(ctx context.Context, in *pb.ModelOptions, opts ...grpc.CallOption) (*pb.ModelMetadataResponse, error)
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// Fine-tuning
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StartFineTune(ctx context.Context, in *pb.FineTuneRequest, opts ...grpc.CallOption) (*pb.FineTuneJobResult, error)
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FineTuneProgress(ctx context.Context, in *pb.FineTuneProgressRequest, f func(update *pb.FineTuneProgressUpdate), opts ...grpc.CallOption) error
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StopFineTune(ctx context.Context, in *pb.FineTuneStopRequest, opts ...grpc.CallOption) (*pb.Result, error)
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ListCheckpoints(ctx context.Context, in *pb.ListCheckpointsRequest, opts ...grpc.CallOption) (*pb.ListCheckpointsResponse, error)
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ExportModel(ctx context.Context, in *pb.ExportModelRequest, opts ...grpc.CallOption) (*pb.Result, error)
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// Quantization
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StartQuantization(ctx context.Context, in *pb.QuantizationRequest, opts ...grpc.CallOption) (*pb.QuantizationJobResult, error)
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QuantizationProgress(ctx context.Context, in *pb.QuantizationProgressRequest, f func(update *pb.QuantizationProgressUpdate), opts ...grpc.CallOption) error
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StopQuantization(ctx context.Context, in *pb.QuantizationStopRequest, opts ...grpc.CallOption) (*pb.Result, error)
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// Free releases GPU/model resources (e.g. VRAM) without stopping the process.
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Free(ctx context.Context) error
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}
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