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#10970 gave the four PredictOptions RPCs a model-identity check so a backend reached through a stale distributed route rejects the request instead of answering from whatever model it holds (#10952). Every other modality shares that exposure: the route is cached by host:port, a worker can recycle a stopped backend's port for another model's backend, and a liveness-only probe cannot tell a stale row from a valid one. Extends the same mechanism to the 21 remaining request messages that reach a backend through the router, using the pattern #10970 established rather than a parallel one: - proto: ModelIdentity on each modality request message. - controller: populated from ModelConfig.Model at the call site that also builds ModelOptions, so load-time and request-time values are equal by construction. - backends: one generic guard in pkg/grpc/server.go (27 Go backends), the method set in backend/python/common (36 Python backends), llama-cpp (AudioTranscription/Stream, Rerank, Score) and privacy-filter (TokenClassify). - reconcile already drops the stale row on IsModelMismatch; no change. TTSRequest and SoundGenerationRequest get a SEPARATE ModelIdentity field rather than reusing their existing `model`: FileStagingClient rewrites `model` to a worker-local path, so comparing it would reject valid requests in exactly the configuration this guards. AudioEncode/AudioDecode are deliberately left unguarded: the opus codec backend is loaded from a literal rather than a ModelConfig, so no value carries the equality guarantee the comparison depends on. The four bidirectional stream RPCs are out of scope; they bypass reconcile. Empty means skip on both sides, so an old controller, an old backend, and the bare request structs in tests/e2e-backends all keep working. Assisted-by: Claude Code:claude-opus-4-8 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
157 lines
3.8 KiB
Go
157 lines
3.8 KiB
Go
package backend
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import (
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"context"
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"fmt"
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"os"
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"path/filepath"
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"time"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/trace"
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"github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/mudler/LocalAI/pkg/utils"
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)
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func SoundGeneration(
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ctx context.Context,
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text string,
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duration *float32,
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temperature *float32,
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doSample *bool,
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sourceFile *string,
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sourceDivisor *int32,
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think *bool,
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caption string,
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lyrics string,
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bpm *int32,
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keyscale string,
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language string,
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timesignature string,
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instrumental *bool,
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loader *model.ModelLoader,
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appConfig *config.ApplicationConfig,
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modelConfig config.ModelConfig,
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) (string, *proto.Result, error) {
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opts := ModelOptions(modelConfig, appConfig)
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soundGenModel, err := loader.Load(opts...)
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if err != nil {
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recordModelLoadFailure(appConfig, modelConfig.Name, modelConfig.Backend, err, nil)
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return "", nil, err
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}
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if soundGenModel == nil {
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return "", nil, fmt.Errorf("could not load sound generation model")
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}
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if err := os.MkdirAll(appConfig.GeneratedContentDir, 0750); err != nil {
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return "", nil, fmt.Errorf("failed creating audio directory: %s", err)
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}
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audioDir := filepath.Join(appConfig.GeneratedContentDir, "audio")
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if err := os.MkdirAll(audioDir, 0750); err != nil {
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return "", nil, fmt.Errorf("failed creating audio directory: %s", err)
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}
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fileName := utils.GenerateUniqueFileName(audioDir, "sound_generation", ".wav")
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filePath := filepath.Join(audioDir, fileName)
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if filePath, err = filepath.Abs(filePath); err != nil {
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return "", nil, fmt.Errorf("failed resolving sound generation path: %w", err)
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}
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req := &proto.SoundGenerationRequest{
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Text: text,
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// Model is rewritten to a worker-local path by the distributed file
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// stager; ModelIdentity carries the untranslated value the backend
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// compares against what it loaded (#10952). They start out equal here
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// and must stay two separate fields.
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ModelIdentity: modelConfig.Model,
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Model: modelConfig.Model,
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Dst: filePath,
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Sample: doSample,
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Duration: duration,
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Temperature: temperature,
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Src: sourceFile,
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SrcDivisor: sourceDivisor,
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}
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if think != nil {
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req.Think = think
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}
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if caption != "" {
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req.Caption = &caption
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}
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if lyrics != "" {
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req.Lyrics = &lyrics
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}
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if bpm != nil {
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req.Bpm = bpm
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}
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if keyscale != "" {
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req.Keyscale = &keyscale
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}
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if language != "" {
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req.Language = &language
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}
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if timesignature != "" {
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req.Timesignature = ×ignature
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}
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if instrumental != nil {
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req.Instrumental = instrumental
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}
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var startTime time.Time
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if appConfig.EnableTracing {
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trace.InitBackendTracingIfEnabled(appConfig.TracingMaxItems, appConfig.TracingMaxBodyBytes)
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startTime = time.Now()
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}
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res, err := soundGenModel.SoundGeneration(ctx, req)
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if appConfig.EnableTracing {
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errStr := ""
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if err != nil {
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errStr = err.Error()
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} else if res != nil && !res.Success {
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errStr = fmt.Sprintf("sound generation error: %s", res.Message)
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}
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summary := trace.TruncateString(text, 200)
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if summary == "" && caption != "" {
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summary = trace.TruncateString(caption, 200)
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}
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traceData := map[string]any{
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"text": text,
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"caption": caption,
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"lyrics": lyrics,
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}
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if duration != nil {
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traceData["duration"] = *duration
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}
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if temperature != nil {
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traceData["temperature"] = *temperature
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}
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trace.RecordBackendTrace(trace.BackendTrace{
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Timestamp: startTime,
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Duration: time.Since(startTime),
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Type: trace.BackendTraceSoundGeneration,
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ModelName: modelConfig.Name,
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Backend: modelConfig.Backend,
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Summary: summary,
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Error: errStr,
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Data: traceData,
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})
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}
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if err != nil {
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return "", nil, err
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}
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if res != nil && !res.Success {
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return "", nil, fmt.Errorf("error during sound generation: %s", res.Message)
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}
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return filePath, res, nil
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}
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