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- Introduced path reordering functionality using LLM with `ordered_step_indices`, allowing for dynamic adjustment of exercise progression paths. - Added AI gap filling capabilities, enabling the system to propose new exercises when unbridgeable gaps are detected. - Updated the backend to support new request parameters for path reordering and AI gap filling. - Enhanced frontend components to reflect these new features, including alerts for AI proposals and adjustments in exercise display. - Incremented version to 0.8.187 and updated changelog to document these significant enhancements in planning AI functionality. |
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| .. | ||
| ACCESS_LAYER_ENDPOINT_AUDIT.md | ||
| AI_EXERCISE_IMPLEMENTATION_PLAN.md | ||
| AI_PLANNING_KI_MULTISTAGE_FORECAST.md | ||
| AI_SKILL_RETRIEVAL_PROFILES_SPEC.md | ||
| COMBINATION_TIMING_PROFILE_PLAN.md | ||
| EXERCISE_ENRICHMENT_ADMIN.md | ||
| FRAMEWORK_PROGRAM_FILTER_AND_SKILLS_ROADMAP.md | ||
| HANDOVER_NEXT_SESSION.md | ||
| PARALLEL_TRAINING_STREAMS_ANALYSIS_AND_IMPLEMENTATION_PLAN.md | ||
| PARALLEL_TRAINING_STREAMS_PREREQ_PROMPT.md | ||
| PLANNING_EXERCISE_SUGGEST_CONTEXT.md | ||
| PRODUCTION_READINESS_AUDIT_2026-05.md | ||
| SHINKAN_PROJECT_SETUP.md | ||
| SMW_IMPORTER_GAP_ANALYSIS.md | ||
| TRAINING_MODULES_IMPLEMENTATION_PLAN.md | ||