2 Commits

Author	SHA1	Message	Date
Dom	38a1a5ddd8	feat(coaching): Implement complete COACHING mode infrastructure ... Add comprehensive COACHING mode system with: Backend: - core/coaching module with session persistence and metrics - CoachingSessionPersistence for pause/resume sessions - CoachingMetricsCollector with learning progress tracking - REST API blueprint for coaching sessions management - Execution integration with COACHING mode support Frontend: - CoachingPanel component with keyboard shortcuts - Decision buttons (accept/reject/correct/manual/skip) - Real-time stats display and correction editor - CorrectionPacksDashboard for pack visualization - WebSocket hooks for real-time COACHING events Metrics & Monitoring: - WorkflowLearningMetrics with confidence scoring - GlobalCoachingMetrics for system-wide analytics - AUTO mode readiness detection (85% acceptance threshold) - Learning progress levels (OBSERVATION → COACHING → AUTO) Tests: - E2E tests for complete OBSERVATION → AUTO journey - Session persistence and recovery tests - Metrics threshold validation tests Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-19 08:40:54 +01:00
Dom	c636f7f163	Feat: Intégration système d'apprentissage VWB ... - Création service learning_integration.py (pont VWB <-> LearningManager) - Enregistrement automatique des workflows à la création - Enregistrement des résultats d'exécution (succès/échec + confiance) - Endpoints API: /workflows/<id>/feedback et /workflows/<id>/learning - Boutons feedback (pouce vert/rouge) dans VWBExecutorExtension - Fix: VariableAutocomplete inputRef pour setSelectionRange - Amélioration: Chips cliquables pour insérer les variables Le système apprend maintenant des exécutions et feedbacks utilisateur. États: OBSERVATION -> COACHING -> AUTO_CANDIDATE -> AUTO_CONFIRMED Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-14 21:30:23 +01:00