admin
06f0e7e651
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.
82 lines
3.8 KiB
Markdown
82 lines
3.8 KiB
Markdown
# Changelog
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## Unreleased
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### Added
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- Initial Meeting Lab project structure with source, docs, prompts, samples and
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tests directories.
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- Deterministic transcript normalization module.
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- Technical transcript chunking with block-aligned chunk generation.
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- Whisper JSON cleanup support.
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- Local Ollama-based chunk extraction flow.
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- Interim Markdown meeting protocol builder for technical validation.
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- Initial and windowed topic segmentation prototypes plus review tooling.
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- Gold Standard extraction corpus and gold-test runner.
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- Prompt loading support and common/decision prompt baseline.
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- Output-view architecture documentation for Canonical Meeting Knowledge,
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Working Protocol / Arbeitsprotokoll, Distribution Protocol /
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Verteilerprotokoll and Knowledge Objects / Wissensdatenbankeintrag.
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- Working Protocol Synthesizer V0 benchmark artifact for future
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canonicalizer/consolidator comparisons.
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- Canonicalizer V1 deterministic CLI for canonicalizing chunk extraction JSON.
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- Non-LLM Canonicalizer V1 tests covering ordering, validation, IDs, parsing,
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source references, exact duplicates, invalid JSON and empty categories.
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- Semantic Consolidator V0 CLI for conservative facts-only semantic duplicate
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detection using local Ollama.
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- Consolidation prompt and non-LLM tests for payload construction, grouping
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validation and source fact coverage.
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- Semantic Consolidator V0 benchmark report and consolidated extraction JSON.
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- Gold regression scenario for responsibility attribution integrity.
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- Meeting Context V1 YAML scaffold, generic template and documentation for
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manually maintained meeting metadata.
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- Meeting Context V1 loader, validator, deterministic prompt representation,
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optional `--meeting-context` extraction CLI integration and extraction
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context provenance.
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- PyYAML project dependency for Meeting Context YAML loading.
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- Focused Gold scenarios for responsibility attribution and explicit position
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extraction.
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### Changed
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- Refined the architecture from a single meeting protocol toward Canonical
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Meeting Knowledge as the planned semantic source of truth.
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- Clarified that Working Protocol, Distribution Protocol and Knowledge Objects
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are parallel renderings, not derived from one another.
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- Documented the planned Deterministic Canonicalizer and Semantic Consolidator
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stages before Canonical Meeting Knowledge.
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- Clarified that Semantic Consolidator V0 is implemented only for fact
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duplicate detection; broader semantic synthesis and Canonical Meeting
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Knowledge remain planned.
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- Documented that rendered protocol language should normally match the source
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transcript or consolidated meeting knowledge unless explicitly requested
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otherwise.
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- Added the Responsibility Attribution Invariant across extraction,
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canonicalization, consolidation, Canonical Meeting Knowledge and output
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views.
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- Updated decision extraction semantics to include explicit process decisions
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and deferrals.
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- Shared extraction prompt assembly now loads `common.md`, `decisions.md` and
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`todos.md`.
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- Added explicit action-item responsibility attribution rules and clarified
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the decision/todo boundary, including duplicate-classification handling.
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- Marked Meeting Context integration with later pipeline stages as planned
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while extraction-stage integration is implemented.
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### Fixed
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- Fixed Whisper JSON chunk extraction to prefer `segments[*].text` over the
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aggregate top-level `text` field.
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- Added chunking tests to ensure chunks do not duplicate later blocks when no
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overlap is requested.
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- Added parser handling for model responses that contain thinking text before
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the final JSON object.
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### Documentation
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- Added architecture, pipeline and data-model documentation.
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- Added output-view documentation.
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- Added Gold Standard prompt-engineering methodology.
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- Added formal decision-definition documentation.
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- Added scenario README files for the Gold Standard corpus.
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