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* feat(3d): add Generate3D RPC, FLAG_3D capability, and /v1/3d/generations endpoint Adds the plumbing for image-conditioned 3D asset generation (binary glTF / GLB output), modeled on the video generation path: - backend.proto: Generate3D RPC + Generate3DRequest (staged image src, glb dst, seed/step/cfg_scale/texture_steps, quality and background enums, params map for backend-specific extras) - pkg/grpc: thread Generate3D through client, server, embed, base and the backend interfaces; connection-evicting and distributed-node wrappers (in-flight tracking + file staging) included - core/config: FLAG_3D usecase (guessed only for the trellis2cpp backend), '3d' canonical usecase string mapped to the Generate3D method, and a '3d' output modality - REST: POST /v1/3d/generations (+ unversioned alias) returning OpenAIResponse with a /generated-3d URL or b64_json; conditioning image accepted as URL, base64, or data URI; quality/background validated at the edge; .glb served as model/gltf-binary - auth: '3d' route feature (default ON); /api/instructions entry Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(trellis2cpp): add the trellis2.cpp image-to-3D backend Wraps localai-org/trellis2cpp (C++/GGML port of Microsoft TRELLIS.2, pbr-textures branch) as a Go+purego backend, following the stablediffusion-ggml pattern: - backend/go/trellis2cpp: purego bindings to the flat C ABI (v9, asserted at startup), eager pipeline load with model-set validation (refuses non-trellis GGUFs; degrades coarse/geometry-only/textured exactly like the upstream demo), Generate3D via t2_generate + t2_bake_glb writing a binary glTF to dst. Weight-free unit tests cover resolution/validation/param mapping — CI never downloads the multi-GB GGUF set or runs inference. - CPU SIMD variants build into per-variant directories (the shared libggml sonames collide across variants, unlike sd-ggml's flat renamed-.so scheme); run.sh picks one via /proc/cpuinfo. - CI wiring: backend-matrix entries (cpu, cuda12/13, vulkan amd64+arm64, l4t, l4t-cuda13, darwin metal), index.yaml meta + latest/master image entries, bump_deps tracking of the pbr-textures branch, changed-backends.js mapping, top-level Makefile targets. - Importer: auto-detects trellis GGUF repos/URIs (registered before llama-cpp so the .gguf match isn't stolen) and expands any trellis URI to the full 10-file component set spanning the three LocalAI-io HF repos. - Gallery: trellis2-4b (full PBR + 1024 cascade) and trellis2-4b-geometry (512 untextured) with verified sha256s. Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(ui): 3D generation page with native GLB viewer and IndexedDB history Adds a Studio tab + /app/3d page for the new image-to-3D endpoint: - GlbViewer ports the trellis2cpp demo's dependency-free WebGL2 renderer (quaternion trackball, metallic-roughness PBR, ACES, hidden-line wireframe with a bounded index budget) and pairs it with a minimal GLB parser for the two forms t2_bake_glb emits — dense vertex-PBR (linear COLOR_0 + _METALLIC_ROUGHNESS, uploaded as normalized integers) and the opt-in UV-atlas textured form. Parsing happens before any GL so stats and errors render without WebGL2. - use3DHistory stores past generations (params, input thumbnail, and the GLB blob itself) in IndexedDB with keep-newest-20 eviction — GLBs are multi-MB binaries localStorage can't hold — and the page offers a download button for the active GLB. - Wiring: CAP_3D capability constant (FLAG_3D — the exact string /api/models/capabilities serves), threeDApi, router entries, Studio tab, vite dev proxy, en locale keys. - e2e: render-smoke entry plus a focused spec that feeds a real one-triangle vertex-PBR GLB through the parser/viewer and exercises IndexedDB persistence, selection, deletion, and API errors. Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(3d): address API correctness and UX issues Keep 3D generation on the LocalAI-specific /3d/generations route and ensure authentication and permissions cover it. Propagate distributed transfer failures, publish a portable ARM64 backend image, honor importer overrides, and align discovery, upload validation, and touch controls. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(3d): add previewable print remeshing Add a single-detail CGAL Alpha Wrap workflow for existing Trellis GLBs, including PBR reprojection, API documentation, tracing, and an in-browser preview before download. Allow the remesh route to enforce its 512 MiB upload cap independently of the smaller global default so generated high-resolution meshes can be processed. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * build(trellis2cpp): centralize remesh dependency pins Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(kokoros): implement Generate3D stub for new proto RPC The Generate3D RPC added to backend.proto for the trellis2cpp backend made tonic's generated Backend trait require generate3_d, breaking the kokoros-grpc build. Return unimplemented like the other unsupported modalities. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
149 lines
8.8 KiB
Go
149 lines
8.8 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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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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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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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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// 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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// 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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