docs(03-04): complete personality-driven resource communication plan
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Tasks completed: 2/2 - Implemented ResourcePersonality with dere-tsun gremlin persona - Integrated personality-aware model switching with degradation notifications SUMMARY: .planning/phases/03-resource-management/03-04-SUMMARY.md
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| **Milestone** | v1.0 Core (Phases 1-5) |
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| **Milestone** | v1.0 Core (Phases 1-5) |
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| **Current Phase** | 03: Resource Management |
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| **Current Phase** | 03: Resource Management |
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| **Current Plan** | 3 of 4 in current phase |
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| **Current Plan** | 4 of 4 in current phase |
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| **Overall Progress** | 3/15 phases complete |
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| **Overall Progress** | 3/15 phases complete |
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| **Progress Bar** | ███████░░░░░ 30% |
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| **Progress Bar** | ███████░░░░ 30% |
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| **Model Profile** | Budget (haiku priority) |
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| **Model Profile** | Budget (haiku priority) |
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- **2026-01-27**: **EXECUTED** Phase 2, Plan 04 - Implemented safety system integration and comprehensive testing
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- **2026-01-27**: **EXECUTED** Phase 2, Plan 04 - Implemented safety system integration and comprehensive testing
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- **2026-01-27**: Phase 2 complete - sandbox execution environment with security assessment, audit logging, and resource management fully implemented
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- **2026-01-27**: Phase 2 complete - sandbox execution environment with security assessment, audit logging, and resource management fully implemented
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- **2026-01-27**: **EXECUTED** Phase 3, Plan 3 - Implemented proactive scaling system with hybrid monitoring and graceful degradation
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- **2026-01-27**: **EXECUTED** Phase 3, Plan 3 - Implemented proactive scaling system with hybrid monitoring and graceful degradation
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- **2026-01-27**: **EXECUTED** Phase 3, Plan 4 - Implemented personality-driven resource communication with dere-tsun gremlin persona
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## What's Next
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## What's Next
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Phase 3 Plan 3 complete. Ready for Phase 3 Plan 4: Resource optimization algorithms.
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Phase 3 complete (all 4 plans executed). Ready for Phase 4: Memory & Context Management.
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Phase 3 requirements:
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Phase 3 requirements:
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- Detect available system resources (CPU, RAM, GPU) ✓
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- Detect available system resources (CPU, RAM, GPU) ✓
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- Select appropriate models based on resources ✓
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- Select appropriate models based on resources ✓
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- Request more resources when bottlenecks detected
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- Request more resources when bottlenecks detected
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- Graceful scaling from low-end hardware to high-end systems
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- Graceful scaling from low-end hardware to high-end systems
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Status: Phase 3 Plan 3 complete, 1 plan remaining.
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Status: Phase 3 complete - all 4 plans executed and verified.
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## Blockers & Concerns
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## Blockers & Concerns
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None — all Phase 3 Plan 3 deliverables complete and verified. Proactive scaling system with hybrid monitoring and graceful degradation cascades implemented and integrated.
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None — all Phase 3 deliverables complete and verified. Resource management with personality-driven communication, proactive scaling, hardware tier detection, and graceful degradation fully implemented.
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## Session Continuity
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## Session Continuity
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Last session: 2026-01-27T23:53:00Z
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Last session: 2026-01-27T23:53:00Z
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Stopped at: Completed 03-03-PLAN.md
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Stopped at: Completed 03-04-PLAN.md
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Resume file: None
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Resume file: None
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---
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phase: 03-resource-management
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plan: 04
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subsystem: resource-management
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tags: [personality, communication, resource-optimization, model-management]
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# Dependency graph
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requires:
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- phase: 03-resource-management
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provides: Resource monitoring, proactive scaling, hardware tier detection
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provides:
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- Personality-driven resource communication system
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- Model switching notifications with engaging dere-tsun gremlin persona
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- Optional technical tips for resource optimization
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affects: [04-memory-context, 05-conversation-engine, 09-personality-system]
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# Tech tracking
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tech-stack:
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added: [ResourcePersonality class, personality-aware model switching]
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patterns: [Personality-driven communication, degradation-only notifications, optional technical tips]
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key-files:
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created: [src/resource/personality.py]
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modified: [src/models/model_manager.py]
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key-decisions:
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- "Use Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona for engaging resource communication"
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- "Notify users only about capability downgrades, not upgrades (per CONTEXT.md requirements)"
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- "Include optional technical tips for resource optimization without being intrusive"
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- "Personality enhances rather than distracts from resource management"
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patterns-established:
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- "Pattern: Personality-driven communication with mood-based message generation"
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- "Pattern: Capability-aware notification system (degradation vs upgrade)"
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- "Pattern: Optional technical tips with hexadecimal/coding references"
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- "Pattern: Personality state management with mood transitions"
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# Metrics
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duration: 14min
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completed: 2026-01-28
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---
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# Phase 3: Resource Management - Plan 4 Summary
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**Personality-driven resource communication with dere-tsun gremlin persona, degradation-only notifications, and optional technical tips for enhanced user experience**
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## Performance
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- **Duration:** 14 minutes
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- **Started:** 2026-01-27T23:51:45Z
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- **Completed:** 2026-01-28T00:05:38Z
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- **Tasks:** 2
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- **Files modified:** 2
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## Accomplishments
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- **ResourcePersonality System**: Implemented "Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin" personality with mood-based communication, multiple personality vocabularies, and technical tip generation
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- **ModelManager Integration**: Enhanced ModelManager with personality-aware model switching that notifies users only about capability downgrades, not upgrades, per requirements
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- **Engaging Resource Communication**: Created personality-driven messages that enhance rather than distract from resource management experience
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## Task Commits
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Each task was committed atomically:
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1. **Task 1: Implement ResourcePersonality system** - `dd3a75f` (feat)
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2. **Task 2: Integrate personality with model management** - `1c97645` (feat)
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**Plan metadata:** (to be committed after summary)
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## Files Created/Modified
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- `src/resource/personality.py` - Complete personality system with Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona, mood states, message generation, and technical tips
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- `src/models/model_manager.py` - Enhanced with personality-aware model switching, degradation-only notifications, and integration with ResourcePersonality system
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## Decisions Made
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- **Personality Selection**: Chose complex "Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin" persona combining sleepy, tsundere, mentoring, and resource-hungry aspects for engaging communication
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- **Notification Strategy**: Implemented degradation-only notifications (users informed about capability downgrades, not upgrades) per CONTEXT.md requirements
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- **Technical Tips**: Included optional optimization tips with hexadecimal/coding references for users interested in technical details
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- **Integration Approach**: Added personality_aware_model_switch() method to ModelManager for graceful degradation notifications while maintaining silent upgrades
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## Deviations from Plan
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None - plan executed exactly as written.
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## Issues Encountered
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None - all components implemented and verified successfully.
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## User Setup Required
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None - no external service configuration required.
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## Next Phase Readiness
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- ResourcePersonality system fully implemented and integrated with ModelManager
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- Model switching notifications are engaging and informative with personality-driven communication
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- Technical tips available but not intrusive for resource optimization guidance
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- Ready for Phase 4: Memory & Context Management
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---
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*Phase: 03-resource-management*
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*Completed: 2026-01-28*
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