- Introduced `_annotate_slot_diffs` to mark trivial ID swaps in slot differences, improving clarity in comparison results.
- Added `_actionable_slot_diffs` to filter out non-actionable differences, streamlining the evaluation process.
- Implemented `_build_rematch_suggestion_diffs` to generate suggestions based on rematch logs, enhancing the path optimization workflow.
- Updated `_build_progression_compare_response` to incorporate actionable slot differences and rematch suggestions, improving the response structure.
- Enhanced frontend components to display rematch suggestions and handle trivial differences more effectively.
- Bumped version to reflect the new features and improvements.
- Updated `PROJECT_STATUS.md` to reflect the addition of the Planning AI Progression Graph and its context in the roadmap.
- Enhanced `DOMAIN_MODEL.md` with details on the new `planning_catalog_context` features, allowing trainers to manage curriculum stages and context.
- Added tests in `test_planning_catalog_context.py` to validate the separation of LLM highlights from fix hints during QA processes.
- Updated `HANDOVER.md` and `PLANNING_KI_ROADMAP.md` to reflect the latest app version and improvements in the planning context.
- Enhanced frontend components to support the new planning catalog context, including updates to `ExerciseProgressionPathBuilder` and `ProgressionGraphEditor`.
- Bumped version to 0.8.233 to reflect the new features and improvements.
- Introduced multistage path quality assurance (QA) functionality to improve exercise relevance and feedback through structured tiers and optimization hints.
- Updated stage specifications to include `start_state` and `target_state` for better contextualization in roadmap matching.
- Enhanced semantic brief construction with technique sibling exclusions to refine exercise selection based on primary topics.
- Improved path retrieval logic to incorporate new parameters for nuanced matching against learning goals.
- Incremented application version to reflect these updates.
- Introduced `intent_context` and `semantic_brief` parameters in `try_llm_stage_specs` to improve context handling for stage specifications.
- Updated `build_goal_analysis` to extract explicit exclusions from goal queries, enhancing constraint management.
- Enhanced `roadmap_context_from_override` to enrich semantic briefs with path constraints and finalize stage specifications with intent context.
- Incremented application version to reflect these updates.
- Added `semantic_brief_for_stage` function to enhance semantic briefs with stage learning goals for improved roadmap matching.
- Introduced `exercise_passes_stage_learning_goal_gate` to validate exercises against stage learning goals, enhancing relevance checks.
- Updated path retrieval and scoring logic to incorporate stage learning goals, allowing for more nuanced exercise selection.
- Enhanced UI to indicate weak matches with stage learning goals, improving user feedback on exercise relevance.
- Incremented application version to reflect these updates.
- Updated the `CLAUDE.md` to reflect changes in the Progression Graph, including the new Ist-Stand and roadmap specifications.
- Enhanced `PLANNING_EXERCISE_SUGGEST_CONTEXT.md` with detailed descriptions of the current state and features of the planning exercise.
- Revised `PLANNING_PROGRESSION_ROADMAP_SPEC.md` to document the implementation status of various phases and their corresponding migrations.
- Incremented application version to 0.8.217 to incorporate recent updates and improvements in the planning context and roadmap functionalities.
