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- Introduced the Scenario Pipeline for planning exercises, allowing for more nuanced query handling and exercise suggestions based on user intent. - Enhanced the `suggestPlanningExercises` API to include `include_llm_intent`, `scenario_kind`, and `query_intent_summary`, improving the context provided to the frontend. - Updated the `ExercisePickerModal` to display new information related to query intent and scenario classification, enhancing user experience during exercise selection. - Incremented application version to 0.8.171 and updated changelog to document the new features and improvements in the planning AI capabilities. |
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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 | ||
| 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 | ||