Files
LocalAI/pkg/grpc/interface.go
Ettore Di Giacinto 644481fffb feat(vllm-cpp): unify decision pipeline through Score RPC with vllm_decide ABI v29
Replace the model-specific SystemOne gRPC approach with a generic Score
RPC extension. The pre-existing Score RPC (previously unused by any
backend) now carries question_type and response_json fields:

- question_type="systemone" routes kev/laya decision-pipeline requests
  through the unified vllm_decide C ABI (v29), returning the full
  response JSON in response_json.
- question_type empty routes cua-s1-forms candidate scoring through the
  same vllm_decide ABI, returning CandidateScore probabilities.

The vllm-cpp backend's Score() method calls vllm_decide and dispatches
by architecture internally. The /v1/systemone HTTP endpoint checks
whether the model's backend supports Score; if so, it forwards the raw
request JSON and returns the backend response as-is. Other backends
fall through to the existing NER-based path.

This mirrors the vllm.cpp C ABI refactor (PR #3301) that replaced
vllm_systemone + vllm_score with a single vllm_decide function. The
purego bindings bump abiVersion from 27 to 29 and resolve vllm_decide
and vllm_decide_free symbols.

Also fixes validModelPath to accept cua-s1-forms.json and
rl_agent_config.json alongside config.json, matching the engine's
model_loader.cpp config-filename ordering.

AI-Assisted: true
Assisted-by: Maki:regolo/glm5.2 [maki]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-09-25 07:12:34 +00:00

126 lines
5.6 KiB
Go

package grpc
import (
"context"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
// AnimationMetadataModel optionally reports JSON metadata without changing the legacy
// animation interface implemented by other backends.
type AnimationMetadataModel interface {
Animate3DWithMetadata(*pb.Animate3DRequest) ([]byte, error)
}
type AIModel interface {
Busy() bool
Lock()
Unlock()
Locking() bool
Predict(*pb.PredictOptions) (string, error)
PredictStream(*pb.PredictOptions, chan string) error
Load(*pb.ModelOptions) error
Free() error
Embeddings(*pb.PredictOptions) ([]float32, error)
GenerateImage(*pb.GenerateImageRequest) error
UpscaleImage(*pb.UpscaleImageRequest) error
GenerateVideo(*pb.GenerateVideoRequest) error
Generate3D(*pb.Generate3DRequest) error
Animate3D(*pb.Animate3DRequest) error
Detect(*pb.DetectOptions) (pb.DetectResponse, error)
Depth(*pb.DepthRequest) (pb.DepthResponse, error)
FaceVerify(*pb.FaceVerifyRequest) (pb.FaceVerifyResponse, error)
FaceAnalyze(*pb.FaceAnalyzeRequest) (pb.FaceAnalyzeResponse, error)
VoiceVerify(*pb.VoiceVerifyRequest) (pb.VoiceVerifyResponse, error)
VoiceAnalyze(*pb.VoiceAnalyzeRequest) (pb.VoiceAnalyzeResponse, error)
VoiceEmbed(*pb.VoiceEmbedRequest) (pb.VoiceEmbedResponse, error)
AudioTranscription(context.Context, *pb.TranscriptRequest) (pb.TranscriptResult, error)
AudioTranscriptionStream(context.Context, *pb.TranscriptRequest, chan *pb.TranscriptStreamResponse) error
AudioTranscriptionLive(in <-chan *pb.TranscriptLiveRequest, out chan<- *pb.TranscriptLiveResponse) error
TTS(*pb.TTSRequest) error
TTSStream(*pb.TTSRequest, chan []byte) error
SoundGeneration(*pb.SoundGenerationRequest) error
TokenizeString(*pb.PredictOptions) (pb.TokenizationResponse, error)
Detokenize(*pb.DetokenizeRequest) (pb.DetokenizeResponse, error)
Status() (pb.StatusResponse, error)
StoresSet(*pb.StoresSetOptions) error
StoresDelete(*pb.StoresDeleteOptions) error
StoresGet(*pb.StoresGetOptions) (pb.StoresGetResult, error)
StoresFind(*pb.StoresFindOptions) (pb.StoresFindResult, error)
VAD(*pb.VADRequest) (pb.VADResponse, error)
Diarize(*pb.DiarizeRequest) (pb.DiarizeResponse, error)
SoundDetection(context.Context, *pb.SoundDetectionRequest) (*pb.SoundDetectionResponse, error)
AudioEncode(*pb.AudioEncodeRequest) (*pb.AudioEncodeResult, error)
AudioDecode(*pb.AudioDecodeRequest) (*pb.AudioDecodeResult, error)
AudioTransform(*pb.AudioTransformRequest) (*pb.AudioTransformResult, error)
AudioTransformStream(in <-chan *pb.AudioTransformFrameRequest, out chan<- *pb.AudioTransformFrameResponse) error
AudioToAudioStream(in <-chan *pb.AudioToAudioRequest, out chan<- *pb.AudioToAudioResponse) error
// Forward proxies a raw HTTP request to an upstream provider for
// passthrough-mode cloud-proxy backends. ctx is the gRPC stream
// context — cancellation propagates to the upstream HTTP request
// so client disconnect closes the upstream connection.
Forward(ctx context.Context, in <-chan *pb.ForwardRequest, out chan<- *pb.ForwardReply) error
ModelMetadata(*pb.ModelOptions) (*pb.ModelMetadataResponse, error)
// Fine-tuning
StartFineTune(*pb.FineTuneRequest) (*pb.FineTuneJobResult, error)
FineTuneProgress(*pb.FineTuneProgressRequest, chan *pb.FineTuneProgressUpdate) error
StopFineTune(*pb.FineTuneStopRequest) error
ListCheckpoints(*pb.ListCheckpointsRequest) (*pb.ListCheckpointsResponse, error)
ExportModel(*pb.ExportModelRequest) error
// Quantization
StartQuantization(*pb.QuantizationRequest) (*pb.QuantizationJobResult, error)
QuantizationProgress(*pb.QuantizationProgressRequest, chan *pb.QuantizationProgressUpdate) error
StopQuantization(*pb.QuantizationStopRequest) error
}
func newReply(s string) *pb.Reply {
return &pb.Reply{Message: []byte(s)}
}
// AIModelRich is an optional extension to AIModel for backends that
// can produce a full *pb.Reply — including tool-call deltas and
// usage tokens — rather than just a content string. The gRPC server
// type-asserts and prefers the rich path when implemented; otherwise
// it wraps Predict's string return in a Reply.
//
// Cloud-proxy translate mode is the motivating use case: the upstream
// emits structured tool_calls that would be lost through the legacy
// (string, error) signature.
//
// PredictStreamRich contract: send replies into the channel and
// return when finished. Do NOT close the channel — the server closes
// it after the call returns. This is opposite to legacy PredictStream
// which expects the impl to defer close().
type AIModelRich interface {
PredictRich(*pb.PredictOptions) (*pb.Reply, error)
PredictStreamRich(*pb.PredictOptions, chan<- *pb.Reply) error
}
// ClassifyModel is an optional extension to AIModel for backends that
// implement the TokenClassify RPC (zero-shot NER). The gRPC server
// type-asserts to this interface; backends that do not implement it
// fall through to the UnimplementedBackendServer default. This mirrors
// the AIModelRich pattern: adding a method to AIModel itself would
// break every backend, so the capability is opt-in.
type ClassifyModel interface {
TokenClassify(context.Context, *pb.TokenClassifyRequest) (*pb.TokenClassifyResponse, error)
}
// ScoreModel is an optional extension to AIModel for backends that
// implement the Score RPC (candidate scoring and decision pipelines).
// The gRPC server type-asserts to this interface; backends that do not
// implement it fall through to the UnimplementedBackendServer default.
// This mirrors the ClassifyModel pattern: adding a method to AIModel
// itself would break every backend, so the capability is opt-in.
type ScoreModel interface {
Score(context.Context, *pb.ScoreRequest) (*pb.ScoreResponse, error)
}