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package grpc
import (
"context"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
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
Detect(*pb.DetectOptions) (pb.DetectResponse, 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
TTS(*pb.TTSRequest) error
TTSStream(*pb.TTSRequest, chan []byte) error
SoundGeneration(*pb.SoundGenerationRequest) error
TokenizeString(*pb.PredictOptions) (pb.TokenizationResponse, 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)
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
}