feat(pattern, rig): dictionary & llm-driven identification

CHANGELOG.md

@@ -21,12 +21,18 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Crates
 
-- **nvisy-core** - Domain types, error types, and plugin trait system
-- **nvisy-engine** - DAG compiler, executor, and connection routing
-- **nvisy-codec** - File-format handlers with span-based content access
-- **nvisy-object** - Cloud storage providers and streaming I/O
-- **nvisy-pattern** - Detection patterns, dictionaries, and validators
-- **nvisy-pipeline** - Detection, redaction, generation actions, and audit trails
-- **nvisy-python** - PyO3 bridge for Python NER models
+- **nvisy-asr:** ASR/speech-to-text backend trait and provider integration
+- **nvisy-augment:** Content augmentation actions (OCR, transcription, synthetic data)
+- **nvisy-cli:** CLI entry point for the nvisy API server
+- **nvisy-codec:** File-format codecs — read, edit, and write documents
+- **nvisy-core:** Domain types, traits, and errors
+- **nvisy-engine:** DAG compiler and executor for pipeline graphs
+- **nvisy-identify:** Entity ontology types and detection layers
+- **nvisy-ocr:** OCR backend trait and provider integration
+- **nvisy-ontology:** Domain data types, entity taxonomy, and spatial primitives
+- **nvisy-pattern:** Built-in regex patterns and dictionaries for PII/PHI detection
+- **nvisy-python:** PyO3 bridge for AI NER/OCR detection via embedded Python
+- **nvisy-rig:** LLM/VLM-driven detection, redaction, and OCR backends
+- **nvisy-server:** HTTP server exposing the Engine pipeline via REST endpoints
 
 [Unreleased]: https://github.com/nvisycom/runtime/commits/main