chore: extract realtime models into two categories

One is anyToAny models that requires a VAD model, and one is
wrappedModel that requires as well VAD models along others in the
pipeline.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

core/config/backend_config.go

@@ -82,6 +82,11 @@ type Pipeline struct {
 	TTS           string `yaml:"tts"`
 	LLM           string `yaml:"llm"`
 	Transcription string `yaml:"transcription"`
+	VAD           string `yaml:"vad"`
+}
+
+func (p Pipeline) IsNotConfigured() bool {
+	return p.LLM == "" || p.TTS == "" || p.Transcription == ""
 }
 
 type File struct {

core/http/endpoints/openai/realtime.go

@@ -1,6 +1,7 @@
 package openai
 
 import (
+	"context"
 	"encoding/base64"
 	"encoding/json"
 	"fmt"
@@ -8,10 +9,10 @@ import (
 	"sync"
 
 	"github.com/gofiber/websocket/v2"
-	"github.com/mudler/LocalAI/core/backend"
 	"github.com/mudler/LocalAI/core/config"
-	grpc "github.com/mudler/LocalAI/pkg/grpc"
+	"github.com/mudler/LocalAI/pkg/grpc/proto"
 	model "github.com/mudler/LocalAI/pkg/model"
+	"google.golang.org/grpc"
 
 	"github.com/rs/zerolog/log"
 )
@@ -114,95 +115,7 @@ var sessionLock sync.Mutex
 
 // TODO: implement interface as we start to define usages
 type Model interface {
-}
+	VAD(ctx context.Context, in *proto.VADRequest, opts ...grpc.CallOption) (*proto.VADResponse, error)
-
-type wrappedModel struct {
-	TTSConfig           *config.BackendConfig
-	TranscriptionConfig *config.BackendConfig
-	LLMConfig           *config.BackendConfig
-	TTSClient           grpc.Backend
-	TranscriptionClient grpc.Backend
-	LLMClient           grpc.Backend
-}
-
-// returns and loads either a wrapped model or a model that support audio-to-audio
-func newModel(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig, modelName string) (Model, error) {
-
-	cfg, err := cl.LoadBackendConfigFileByName(modelName, ml.ModelPath)
-	if err != nil {
-		return nil, fmt.Errorf("failed to load backend config: %w", err)
-	}
-
-	if !cfg.Validate() {
-		return nil, fmt.Errorf("failed to validate config: %w", err)
-	}
-
-	if cfg.Pipeline.LLM == "" || cfg.Pipeline.TTS == "" || cfg.Pipeline.Transcription == "" {
-		// If we don't have Wrapped model definitions, just return a standard model
-		opts := backend.ModelOptions(*cfg, appConfig, model.WithBackendString(cfg.Backend),
-			model.WithModel(cfg.Model))
-		return ml.Load(opts...)
-	}
-
-	log.Debug().Msg("Loading a wrapped model")
-
-	// Otherwise we want to return a wrapped model, which is a "virtual" model that re-uses other models to perform operations
-	cfgLLM, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.LLM, ml.ModelPath)
-	if err != nil {
-
-		return nil, fmt.Errorf("failed to load backend config: %w", err)
-	}
-
-	if !cfg.Validate() {
-		return nil, fmt.Errorf("failed to validate config: %w", err)
-	}
-
-	cfgTTS, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.TTS, ml.ModelPath)
-	if err != nil {
-
-		return nil, fmt.Errorf("failed to load backend config: %w", err)
-	}
-
-	if !cfg.Validate() {
-		return nil, fmt.Errorf("failed to validate config: %w", err)
-	}
-
-	cfgSST, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.Transcription, ml.ModelPath)
-	if err != nil {
-
-		return nil, fmt.Errorf("failed to load backend config: %w", err)
-	}
-
-	if !cfg.Validate() {
-		return nil, fmt.Errorf("failed to validate config: %w", err)
-	}
-
-	opts := backend.ModelOptions(*cfgTTS, appConfig)
-	ttsClient, err := ml.Load(opts...)
-	if err != nil {
-		return nil, fmt.Errorf("failed to load tts model: %w", err)
-	}
-
-	opts = backend.ModelOptions(*cfgSST, appConfig)
-	transcriptionClient, err := ml.Load(opts...)
-	if err != nil {
-		return nil, fmt.Errorf("failed to load SST model: %w", err)
-	}
-
-	opts = backend.ModelOptions(*cfgLLM, appConfig)
-	llmClient, err := ml.Load(opts...)
-	if err != nil {
-		return nil, fmt.Errorf("failed to load LLM model: %w", err)
-	}
-
-	return &wrappedModel{
-		TTSConfig:           cfgTTS,
-		TranscriptionConfig: cfgSST,
-		LLMConfig:           cfgLLM,
-		TTSClient:           ttsClient,
-		TranscriptionClient: transcriptionClient,
-		LLMClient:           llmClient,
-	}, nil
 }
 
 func RegisterRealtime(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *websocket.Conn) {

core/http/endpoints/openai/realtime_model.go

@@ -0,0 +1,169 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+
+	"github.com/mudler/LocalAI/core/backend"
+	"github.com/mudler/LocalAI/core/config"
+	grpcClient "github.com/mudler/LocalAI/pkg/grpc"
+	"github.com/mudler/LocalAI/pkg/grpc/proto"
+	model "github.com/mudler/LocalAI/pkg/model"
+	"github.com/rs/zerolog/log"
+	"google.golang.org/grpc"
+)
+
+// wrappedModel represent a model which does not support Any-to-Any operations
+// This means that we will fake an Any-to-Any model by overriding some of the gRPC client methods
+// which are for Any-To-Any models, but instead we will call a pipeline (for e.g STT->LLM->TTS)
+type wrappedModel struct {
+	TTSConfig           *config.BackendConfig
+	TranscriptionConfig *config.BackendConfig
+	LLMConfig           *config.BackendConfig
+	TTSClient           grpcClient.Backend
+	TranscriptionClient grpcClient.Backend
+	LLMClient           grpcClient.Backend
+
+	VADConfig *config.BackendConfig
+	VADClient grpcClient.Backend
+}
+
+// anyToAnyModel represent a model which supports Any-to-Any operations
+// We have to wrap this out as well because we want to load two models one for VAD and one for the actual model.
+// In the future there could be models that accept continous audio input only so this design will be useful for that
+type anyToAnyModel struct {
+	LLMConfig *config.BackendConfig
+	LLMClient grpcClient.Backend
+
+	VADConfig *config.BackendConfig
+	VADClient grpcClient.Backend
+}
+
+func (m *wrappedModel) VAD(ctx context.Context, in *proto.VADRequest, opts ...grpc.CallOption) (*proto.VADResponse, error) {
+	return m.VADClient.VAD(ctx, in)
+}
+
+func (m *anyToAnyModel) VAD(ctx context.Context, in *proto.VADRequest, opts ...grpc.CallOption) (*proto.VADResponse, error) {
+	return m.VADClient.VAD(ctx, in)
+}
+
+// returns and loads either a wrapped model or a model that support audio-to-audio
+func newModel(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig, modelName string) (Model, error) {
+
+	cfg, err := cl.LoadBackendConfigFileByName(modelName, ml.ModelPath)
+	if err != nil {
+		return nil, fmt.Errorf("failed to load backend config: %w", err)
+	}
+
+	if !cfg.Validate() {
+		return nil, fmt.Errorf("failed to validate config: %w", err)
+	}
+
+	// Prepare VAD model
+	cfgVAD, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.VAD, ml.ModelPath)
+	if err != nil {
+
+		return nil, fmt.Errorf("failed to load backend config: %w", err)
+	}
+
+	if !cfgVAD.Validate() {
+		return nil, fmt.Errorf("failed to validate config: %w", err)
+	}
+
+	opts := backend.ModelOptions(*cfgVAD, appConfig)
+	VADClient, err := ml.Load(opts...)
+	if err != nil {
+		return nil, fmt.Errorf("failed to load tts model: %w", err)
+	}
+
+	// If we don't have Wrapped model definitions, just return a standard model
+	if cfg.Pipeline.IsNotConfigured() {
+
+		// Otherwise we want to return a wrapped model, which is a "virtual" model that re-uses other models to perform operations
+		cfgAnyToAny, err := cl.LoadBackendConfigFileByName(cfg.Model, ml.ModelPath)
+		if err != nil {
+
+			return nil, fmt.Errorf("failed to load backend config: %w", err)
+		}
+
+		if !cfgAnyToAny.Validate() {
+			return nil, fmt.Errorf("failed to validate config: %w", err)
+		}
+
+		opts := backend.ModelOptions(*cfgAnyToAny, appConfig)
+		anyToAnyClient, err := ml.Load(opts...)
+		if err != nil {
+			return nil, fmt.Errorf("failed to load tts model: %w", err)
+		}
+
+		return &anyToAnyModel{
+			LLMConfig: cfgAnyToAny,
+			LLMClient: anyToAnyClient,
+			VADConfig: cfgVAD,
+			VADClient: VADClient,
+		}, nil
+	}
+
+	log.Debug().Msg("Loading a wrapped model")
+
+	// Otherwise we want to return a wrapped model, which is a "virtual" model that re-uses other models to perform operations
+	cfgLLM, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.LLM, ml.ModelPath)
+	if err != nil {
+
+		return nil, fmt.Errorf("failed to load backend config: %w", err)
+	}
+
+	if !cfg.Validate() {
+		return nil, fmt.Errorf("failed to validate config: %w", err)
+	}
+
+	cfgTTS, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.TTS, ml.ModelPath)
+	if err != nil {
+
+		return nil, fmt.Errorf("failed to load backend config: %w", err)
+	}
+
+	if !cfg.Validate() {
+		return nil, fmt.Errorf("failed to validate config: %w", err)
+	}
+
+	cfgSST, err := cl.LoadBackendConfigFileByName(cfg.Pipeline.Transcription, ml.ModelPath)
+	if err != nil {
+
+		return nil, fmt.Errorf("failed to load backend config: %w", err)
+	}
+
+	if !cfg.Validate() {
+		return nil, fmt.Errorf("failed to validate config: %w", err)
+	}
+
+	opts = backend.ModelOptions(*cfgTTS, appConfig)
+	ttsClient, err := ml.Load(opts...)
+	if err != nil {
+		return nil, fmt.Errorf("failed to load tts model: %w", err)
+	}
+
+	opts = backend.ModelOptions(*cfgSST, appConfig)
+	transcriptionClient, err := ml.Load(opts...)
+	if err != nil {
+		return nil, fmt.Errorf("failed to load SST model: %w", err)
+	}
+
+	opts = backend.ModelOptions(*cfgLLM, appConfig)
+	llmClient, err := ml.Load(opts...)
+	if err != nil {
+		return nil, fmt.Errorf("failed to load LLM model: %w", err)
+	}
+
+	return &wrappedModel{
+		TTSConfig:           cfgTTS,
+		TranscriptionConfig: cfgSST,
+		LLMConfig:           cfgLLM,
+		TTSClient:           ttsClient,
+		TranscriptionClient: transcriptionClient,
+		LLMClient:           llmClient,
+
+		VADConfig: cfgVAD,
+		VADClient: VADClient,
+	}, nil
+}