diff --git a/.planning/STATE.md b/.planning/STATE.md index f1876bb..509c189 100644 --- a/.planning/STATE.md +++ b/.planning/STATE.md @@ -1,7 +1,7 @@ # Project State & Progress **Last Updated:** 2026-01-27 -**Current Status:** Phase 3 Plan 2 complete - hardware tier detection implemented +**Current Status:** Phase 3 Plan 3 complete - proactive scaling with hybrid monitoring implemented --- @@ -11,7 +11,7 @@ |--------|-------| | **Milestone** | v1.0 Core (Phases 1-5) | | **Current Phase** | 03: Resource Management | -| **Current Plan** | 2 of 4 in current phase | +| **Current Plan** | 3 of 4 in current phase | | **Overall Progress** | 3/15 phases complete | | **Progress Bar** | ███████░░░░░ 30% | | **Model Profile** | Budget (haiku priority) | @@ -34,6 +34,14 @@ - **Discretion**: Claude determines capability tiers, compression algorithms, and degradation specifics - **Implementation**: All three plans executed with comprehensive model switching, resource monitoring, and CLI interface +### Phase 3 Complete (Resource Management) +- **Proactive scaling strategy**: Scale at 80% resource usage for upgrades, 90% for immediate degradation +- **Hybrid monitoring**: Combined continuous background monitoring with pre-flight checks for comprehensive coverage +- **Graceful degradation**: Complete current tasks before switching models to maintain user experience +- **Stabilization periods**: 5-minute cooldowns prevent model switching thrashing during volatile conditions +- **Performance tracking**: Use actual response times and failure rates for data-driven scaling decisions +- **Implementation**: ProactiveScaler integrated into ModelManager with seamless scaling callbacks + --- ## Recent Work @@ -51,25 +59,26 @@ - **2026-01-27**: **EXECUTED** Phase 2, Plan 03 - Created tamper-proof audit logging system with SHA-256 hash chains - **2026-01-27**: **EXECUTED** Phase 2, Plan 04 - Implemented safety system integration and comprehensive testing - **2026-01-27**: Phase 2 complete - sandbox execution environment with security assessment, audit logging, and resource management fully implemented +- **2026-01-27**: **EXECUTED** Phase 3, Plan 3 - Implemented proactive scaling system with hybrid monitoring and graceful degradation --- ## What's Next -Phase 3 Plan 2 complete. Ready for Phase 3 Plan 3: Proactive scaling with hybrid monitoring. +Phase 3 Plan 3 complete. Ready for Phase 3 Plan 4: Resource optimization algorithms. Phase 3 requirements: - Detect available system resources (CPU, RAM, GPU) ✓ - Select appropriate models based on resources ✓ - Request more resources when bottlenecks detected - Graceful scaling from low-end hardware to high-end systems -Status: Phase 3 Plan 2 complete, 2 plans remaining. +Status: Phase 3 Plan 3 complete, 1 plan remaining. --- ## Blockers & Concerns -None — all Phase 3 Plan 2 deliverables complete and verified. Hardware tier detection and classification system implemented with configurable YAML definitions. +None — all Phase 3 Plan 3 deliverables complete and verified. Proactive scaling system with hybrid monitoring and graceful degradation cascades implemented and integrated. --- @@ -88,6 +97,6 @@ None — all Phase 3 Plan 2 deliverables complete and verified. Hardware tier de ## Session Continuity -Last session: 2026-01-27T23:32:51Z -Stopped at: Completed 03-02-PLAN.md +Last session: 2026-01-27T23:53:00Z +Stopped at: Completed 03-03-PLAN.md Resume file: None diff --git a/.planning/phases/03-resource-management/03-03-SUMMARY.md b/.planning/phases/03-resource-management/03-03-SUMMARY.md new file mode 100644 index 0000000..436a7bf --- /dev/null +++ b/.planning/phases/03-resource-management/03-03-SUMMARY.md @@ -0,0 +1,114 @@ +--- +phase: 03-resource-management +plan: 03 +subsystem: resource-management +tags: [proactive-scaling, hybrid-monitoring, resource-management, graceful-degradation] + +# Dependency graph +requires: + - phase: 03-01 + provides: Resource monitoring foundation + - phase: 03-02 + provides: Hardware tier detection and classification +provides: + - Proactive scaling system with hybrid monitoring and graceful degradation + - Integration between ModelManager and ProactiveScaler + - Pre-flight resource checks for model operations + - Performance tracking for scaling decisions +affects: [04-memory-management, 05-conversation-engine] + +# Tech tracking +tech-stack: + added: [] + patterns: [hybrid-monitoring, proactive-scaling, graceful-degradation, stabilization-periods] + +key-files: + created: [src/resource/scaling.py] + modified: [src/models/model_manager.py] + +key-decisions: + - "Proactive scaling prevents performance degradation before it impacts users" + - "Hybrid monitoring combines continuous checks with pre-flight validation" + - "Graceful degradation completes current tasks before model switching" + - "Stabilization periods prevent model switching thrashing" + +patterns-established: + - "Pattern 1: Hybrid monitoring with background threads and pre-flight checks" + - "Pattern 2: Graceful degradation cascades with immediate and planned switches" + - "Pattern 3: Performance trend analysis for predictive scaling decisions" + - "Pattern 4: Hysteresis and stabilization periods to prevent thrashing" + +# Metrics +duration: 15min +completed: 2026-01-27 +--- + +# Phase 3: Resource Management Summary + +**Proactive scaling system with hybrid monitoring, graceful degradation cascades, and intelligent stabilization periods for resource-aware model management** + +## Performance + +- **Duration:** 15 minutes +- **Started:** 2026-01-27T23:38:00Z +- **Completed:** 2026-01-27T23:53:00Z +- **Tasks:** 2 +- **Files modified:** 2 + +## Accomplishments + +- **Created comprehensive ProactiveScaler class** with hybrid monitoring architecture combining continuous background monitoring with pre-flight checks +- **Implemented graceful degradation cascades** that complete current tasks before switching to smaller models +- **Added intelligent stabilization periods** (5 minutes for upgrades) to prevent model switching thrashing +- **Integrated ProactiveScaler into ModelManager** with seamless scaling callbacks and performance tracking +- **Enhanced model selection logic** to consider scaling recommendations and resource trends +- **Implemented performance metrics tracking** for data-driven scaling decisions + +## Task Commits + +Each task was committed atomically: + +1. **Task 1: Implement ProactiveScaler class** - `4d7749d` (feat) +2. **Task 2: Integrate proactive scaling into ModelManager** - `53b8ef7` (feat) + +**Plan metadata:** N/A (will be committed with summary) + +## Files Created/Modified + +- `src/resource/scaling.py` - Complete ProactiveScaler implementation with hybrid monitoring, trend analysis, and graceful degradation +- `src/models/model_manager.py` - Enhanced ModelManager with ProactiveScaler integration, pre-flight checks, and performance tracking + +## Decisions Made + +- **Hybrid monitoring approach**: Combined continuous background monitoring with pre-flight checks for comprehensive resource awareness +- **Proactive scaling thresholds**: Scale at 80% resource usage for upgrades, 90% for immediate degradation +- **Stabilization periods**: 5-minute cooldowns prevent model switching thrashing during volatile resource conditions +- **Graceful degradation**: Complete current tasks before switching models to maintain user experience +- **Performance-driven scaling**: Use actual response times and failure rates for intelligent scaling decisions + +## Deviations from Plan + +None - plan executed exactly as written. + +## Issues Encountered + +None - all implementation completed successfully with full verification passing. + +## User Setup Required + +None - no external service configuration required. + +## Next Phase Readiness + +Proactive scaling system is complete and ready for integration with memory management and conversation engine phases. The hybrid monitoring approach provides: + +- Resource-aware model selection with tier-based optimization +- Predictive scaling based on usage trends and performance metrics +- Graceful degradation that maintains conversation flow during resource constraints +- Stabilization periods that prevent unnecessary model switching + +The system maintains backward compatibility with existing ModelManager functionality while adding intelligent resource management capabilities. + +--- +*Phase: 03-resource-management* +*Completed: 2026-01-27* \ No newline at end of file