- Introduced new catalog context handling in planning prompt functions, allowing for improved integration of planning variables.
- Added optional catalog context parameters in various functions to streamline the merging of planning prompt variables.
- Updated frontend components to include CatalogPromptSlotsEditor for managing prompt slots across different catalog types.
- Enhanced API utilities to support fetching and updating catalog prompt slots, improving backend functionality for catalog management.
- Incremented version numbers and updated changelog to reflect the new features and improvements.
- Added `_safe_tsquery_fragment` to sanitize learning goal input for SQL queries, improving query safety.
- Introduced `_fetch_learning_goal_library_candidate_ids` to retrieve exercise IDs matching learning goals, enhancing exercise relevance in roadmap suggestions.
- Enhanced `_match_roadmap_slot` to utilize learning goal candidates, improving the accuracy of supplemental exercise selection.
- Implemented `_pick_roadmap_rank_fallback` to provide a fallback mechanism for selecting the best exercise when strict matching fails, ensuring better exercise retrieval.
- Updated tests to validate the new learning goal retrieval and fallback logic, ensuring robustness in exercise selection processes.
- Introduced `resolve_path_primary_topic` function to enhance the determination of primary topics from goal queries and semantic briefs, improving exercise relevance.
- Updated `_match_roadmap_slot` and `detect_off_topic_steps` functions to utilize the new primary topic resolution logic, ensuring accurate topic identification.
- Enhanced tests to validate the functionality of primary topic resolution and its impact on exercise selection and off-topic detection.
- Improved handling of primary topics in the `ExerciseProgressionPathBuilder` and related components for better integration with the overall path-building process.
- 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.
- Introduced `resolve_path_anti_patterns` to improve handling of path exclusions based on explicit negations and semantic briefs.
- Updated `enrich_brief_with_path_constraints` to incorporate path-specific exclusions into semantic briefs, enhancing exercise relevance.
- Modified roadmap step annotation to allow for anti-pattern overrides, improving flexibility in exercise selection.
- Enhanced tests to validate new path exclusion features and ensure correct functionality against learning goals.
- Incremented application version to reflect these updates.
- Introduced `build_progression_gap_snapshot` function to create a compact roadmap context for gap exercises, integrating start situation, target state, and stage specifications.
- Updated `build_gap_fill_goal_text` to include roadmap snapshot details, enhancing the context for AI-generated exercises.
- Enhanced `ProgressionPathSuggestRequest` and related components to support new structured inputs for start/target analysis, improving user experience and AI suggestions.
- Incremented application version to 0.8.212 to reflect these changes.
- Added `include_llm_start_target` option to `ProgressionPathSuggestRequest` for improved roadmap suggestions.
- Introduced new classes `StartTargetExtractArtifact` and `StartTargetResolveMeta` to handle LLM extraction results and metadata.
- Implemented `try_llm_start_target_extract` function to extract start and target states from goal queries using LLM.
- Updated `resolve_roadmap_structured_input` to prioritize user inputs, LLM extractions, and regex parsing for start/target resolution.
- Enhanced `ExerciseProgressionPathBuilder` to utilize new structured inputs and display extraction sources.
- Incremented application version to 0.8.211 to reflect these changes.
- Introduced `RoadmapStructuredInput` to encapsulate structured inputs for start situation, target state, and roadmap notes.
- Updated `ProgressionPathSuggestRequest` to include new fields for structured roadmap inputs.
- Implemented parsing logic for goal queries to extract start and target states, enhancing the goal analysis process.
- Enhanced `build_goal_analysis` to utilize structured inputs, improving the clarity and relevance of generated goals.
- Updated the `ExerciseProgressionPathBuilder` component to support new structured input fields, enhancing user experience.
- Incremented application version to 0.8.210 to reflect these changes.
- Added support for editable major steps in the roadmap, allowing users to modify phase, learning goals, and order before exercise matching.
- Introduced a new `roadmap_override` feature to facilitate customized retrieval without re-invoking the roadmap AI.
- Updated the `ExerciseProgressionPathBuilder` component to incorporate these new features, enhancing user interaction and flexibility.
- Incremented application version to 0.8.207 to reflect these changes.
- Introduced a roadmap-first approach for retrieval, allowing for structured exercise suggestions based on stage specifications and major steps.
- Added functionality to generate gap-fill offers for unfilled roadmap stages, improving the relevance of exercise recommendations.
- Updated the `ExerciseProgressionPathBuilder` to support the new roadmap-first feature, enhancing user experience with clearer exercise paths.
- Incremented application version to 0.8.206 and updated the database schema version to reflect these changes.
- Introduced a roadmap-first approach for the planning AI, allowing for a structured progression graph that aligns with the overall project roadmap.
- Added new functionality to strip off-topic steps from exercise paths, improving the relevance of generated exercise suggestions.
- Implemented a detailed goal text generation for AI proposals, enhancing the context provided for new exercises.
- Updated the ExerciseProgressionPathBuilder component to support new features, including roadmap previews and improved focus area handling.
- Incremented application version to 0.8.205 and updated database schema version to 20260606086 to reflect these changes.
