Introduce Meeting Context V1 with YAML schema, validation and template. Support optional --meeting-context during chunk extraction. Inject authoritative Meeting Context into extraction prompts. Record Meeting Context provenance in extraction output. Activate todos.md in shared prompt assembly. Strengthen responsibility attribution and decision/todo boundaries. Add focused Gold scenarios and validation tests. Update architecture and pipeline documentation.
3.8 KiB
3.8 KiB
Changelog
Unreleased
Added
- Initial Meeting Lab project structure with source, docs, prompts, samples and tests directories.
- Deterministic transcript normalization module.
- Technical transcript chunking with block-aligned chunk generation.
- Whisper JSON cleanup support.
- Local Ollama-based chunk extraction flow.
- Interim Markdown meeting protocol builder for technical validation.
- Initial and windowed topic segmentation prototypes plus review tooling.
- Gold Standard extraction corpus and gold-test runner.
- Prompt loading support and common/decision prompt baseline.
- Output-view architecture documentation for Canonical Meeting Knowledge, Working Protocol / Arbeitsprotokoll, Distribution Protocol / Verteilerprotokoll and Knowledge Objects / Wissensdatenbankeintrag.
- Working Protocol Synthesizer V0 benchmark artifact for future canonicalizer/consolidator comparisons.
- Canonicalizer V1 deterministic CLI for canonicalizing chunk extraction JSON.
- Non-LLM Canonicalizer V1 tests covering ordering, validation, IDs, parsing, source references, exact duplicates, invalid JSON and empty categories.
- Semantic Consolidator V0 CLI for conservative facts-only semantic duplicate detection using local Ollama.
- Consolidation prompt and non-LLM tests for payload construction, grouping validation and source fact coverage.
- Semantic Consolidator V0 benchmark report and consolidated extraction JSON.
- Gold regression scenario for responsibility attribution integrity.
- Meeting Context V1 YAML scaffold, generic template and documentation for manually maintained meeting metadata.
- Meeting Context V1 loader, validator, deterministic prompt representation,
optional
--meeting-contextextraction CLI integration and extraction context provenance. - PyYAML project dependency for Meeting Context YAML loading.
- Focused Gold scenarios for responsibility attribution and explicit position extraction.
Changed
- Refined the architecture from a single meeting protocol toward Canonical Meeting Knowledge as the planned semantic source of truth.
- Clarified that Working Protocol, Distribution Protocol and Knowledge Objects are parallel renderings, not derived from one another.
- Documented the planned Deterministic Canonicalizer and Semantic Consolidator stages before Canonical Meeting Knowledge.
- Clarified that Semantic Consolidator V0 is implemented only for fact duplicate detection; broader semantic synthesis and Canonical Meeting Knowledge remain planned.
- Documented that rendered protocol language should normally match the source transcript or consolidated meeting knowledge unless explicitly requested otherwise.
- Added the Responsibility Attribution Invariant across extraction, canonicalization, consolidation, Canonical Meeting Knowledge and output views.
- Updated decision extraction semantics to include explicit process decisions and deferrals.
- Shared extraction prompt assembly now loads
common.md,decisions.mdandtodos.md. - Added explicit action-item responsibility attribution rules and clarified the decision/todo boundary, including duplicate-classification handling.
- Marked Meeting Context integration with later pipeline stages as planned while extraction-stage integration is implemented.
Fixed
- Fixed Whisper JSON chunk extraction to prefer
segments[*].textover the aggregate top-leveltextfield. - Added chunking tests to ensure chunks do not duplicate later blocks when no overlap is requested.
- Added parser handling for model responses that contain thinking text before the final JSON object.
Documentation
- Added architecture, pipeline and data-model documentation.
- Added output-view documentation.
- Added Gold Standard prompt-engineering methodology.
- Added formal decision-definition documentation.
- Added scenario README files for the Gold Standard corpus.