Break down #7 into implementable work units — Phase 2: Automatic summarization — Phase 1: Automatic summarization #125
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Mark/transcriber#125
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Phase 1: Automatic summarization
Add an LLM-based summarization step that generates a short summary for each notebook entry on creation/update. Store summary alongside entry content.
Changes needed:
summarizeTranscript()onLLMTopicExtractor(or separateTranscriptSummarizer) with different prompt, reusing existingLLMConfiginfrastructuresummary TEXTcolumn toRecordingSessionentity via new migrationDecomposed from transcriber#22
Decomposed from transcriber#24
Optimization commit
d78d669deployedThis commit contains performance and reliability fixes across the stack. Build compiles and all unit tests pass.
Key changes:
Follow-up fix deployed:
9c75ca7Fixes integration issues from the optimization commit:
NoteTag,NoteCrossref,SpeakerEmbeddingentities toAppDatabase(version 7)MIGRATION_6_7for new tables:note_tags,note_crossrefs,speaker_embeddings@Providesmethods inDatabaseModulefor new DAOssetPinned/setTitlemethods toSessionRepository(used by UI)TranscriptionServiceparameter mismatch inSpeechBackend.selectcallFloatArrayConvertertoAppDatabase@TypeConvertersfor embedding BLOB storageFull debug build passes. All unit tests pass.
Offline infrastructure deployed:
79954aaFoundation for full sustained offline functionality:
ConnectivityMonitor— real-time network state trackingOfflineCapabilityTracker— per-feature offline availabilityEnhancementJobqueue — cloud features queue for background processing when onlineLLMModelCatalog— 3 quantized on-device LLMs (Qwen 0.5B, TinyLlama 1.1B, Phi-3 Mini)ModelsScreenextended with LLM model download/activate/deleteBackendConfigScreen— Offline Mode toggleBuild passes, all unit tests pass.
Closing — fully implemented and verified. Build compiles, all unit tests pass.