docs(03-02): complete hardware tier detection plan
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Tasks completed: 3/3
- Resource module structure with proper exports
- Configurable hardware tier definitions in YAML
- HardwareTierDetector class with classification logic

SUMMARY: .planning/phases/03-resource-management/03-02-SUMMARY.md
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Mai Development
2026-01-27 18:35:41 -05:00
parent 8857ced92a
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# Project State & Progress # Project State & Progress
**Last Updated:** 2026-01-27 **Last Updated:** 2026-01-27
**Current Status:** Phase 3 Plan 1 complete - enhanced GPU detection implemented **Current Status:** Phase 3 Plan 2 complete - hardware tier detection implemented
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|--------|-------| |--------|-------|
| **Milestone** | v1.0 Core (Phases 1-5) | | **Milestone** | v1.0 Core (Phases 1-5) |
| **Current Phase** | 03: Resource Management | | **Current Phase** | 03: Resource Management |
| **Current Plan** | 1 of 4 in current phase | | **Current Plan** | 2 of 4 in current phase |
| **Overall Progress** | 3/15 phases complete | | **Overall Progress** | 3/15 phases complete |
| **Progress Bar** | ███████░░░░░ 30% | | **Progress Bar** | ███████░░░░░ 30% |
| **Model Profile** | Budget (haiku priority) | | **Model Profile** | Budget (haiku priority) |
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## What's Next ## What's Next
Phase 3 Plan 1 complete. Ready for Phase 3 Plan 2: Hardware tier detection and management system. Phase 3 Plan 2 complete. Ready for Phase 3 Plan 3: Proactive scaling with hybrid monitoring.
Phase 3 requirements: Phase 3 requirements:
- Detect available system resources (CPU, RAM, GPU) ✓ - Detect available system resources (CPU, RAM, GPU) ✓
- Select appropriate models based on resources - Select appropriate models based on resources
- Request more resources when bottlenecks detected - Request more resources when bottlenecks detected
- Graceful scaling from low-end hardware to high-end systems - Graceful scaling from low-end hardware to high-end systems
Status: Phase 3 Plan 1 complete, 3 plans remaining. Status: Phase 3 Plan 2 complete, 2 plans remaining.
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## Blockers & Concerns ## Blockers & Concerns
None — all Phase 3 Plan 1 deliverables complete and verified. Enhanced GPU detection with pynvml support implemented. None — all Phase 3 Plan 2 deliverables complete and verified. Hardware tier detection and classification system implemented with configurable YAML definitions.
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## Session Continuity ## Session Continuity
Last session: 2026-01-27T23:21:29Z Last session: 2026-01-27T23:32:51Z
Stopped at: Completed 03-01-PLAN.md Stopped at: Completed 03-02-PLAN.md
Resume file: None Resume file: None

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---
phase: 03-resource-management
plan: 02
subsystem: resource-management
tags: [yaml, hardware-detection, tier-classification, model-selection]
# Dependency graph
requires:
- phase: 03-01
provides: enhanced ResourceMonitor with pynvml GPU support
provides:
- Hardware tier detection and classification system
- Configurable tier definitions via YAML
- Model recommendation engine based on hardware capabilities
- Performance characteristics mapping for each tier
affects: [03-03, 03-04, model-interface, conversation-engine]
# Tech tracking
tech-stack:
added: [yaml, pathlib, hardware-tiering]
patterns: [configuration-driven-hardware-detection, tier-based-model-selection]
key-files:
created: [src/resource/__init__.py, src/resource/tiers.py, src/config/resource_tiers.yaml]
modified: []
key-decisions:
- "Three-tier system: low_end, mid_range, high_end provides clear hardware classification"
- "YAML-driven configuration enables threshold adjustments without code changes"
- "Integration with existing ResourceMonitor leverages enhanced GPU detection"
patterns-established:
- "Pattern: Configuration-driven hardware classification using YAML thresholds"
- "Pattern: Tier-based model selection with fallback mechanisms"
- "Pattern: Performance characteristic mapping per hardware tier"
# Metrics
duration: 4min
completed: 2026-01-27
---
# Phase 3: Hardware Tier Detection Summary
**Hardware tier classification system with configurable YAML definitions and intelligent model mapping**
## Performance
- **Duration:** 4 min
- **Started:** 2026-01-27T23:29:04Z
- **Completed:** 2026-01-27T23:32:51Z
- **Tasks:** 3
- **Files modified:** 3
## Accomplishments
- Created resource management module with proper exports and documentation
- Implemented configurable hardware tier definitions with comprehensive thresholds
- Built HardwareTierDetector class with intelligent classification logic
- Established model recommendation system based on detected capabilities
- Integrated with existing ResourceMonitor for real-time hardware monitoring
## Task Commits
Each task was committed atomically:
1. **Task 1: Create resource module structure** - `5d93e97` (feat)
2. **Task 2: Create configurable hardware tier definitions** - `0b4c270` (feat)
3. **Task 3: Implement HardwareTierDetector class** - `8857ced` (feat)
**Plan metadata:** (to be committed after summary)
## Files Created/Modified
- `src/resource/__init__.py` - Resource management module initialization with exports
- `src/config/resource_tiers.yaml` - Comprehensive tier definitions with thresholds and performance characteristics
- `src/resource/tiers.py` - HardwareTierDetector class implementing tier classification logic
## Decisions Made
- Three-tier classification system provides clear boundaries: low_end (1B-3B), mid_range (3B-7B), high_end (7B-70B)
- YAML configuration enables runtime adjustment of thresholds without code changes
- Integration with existing ResourceMonitor leverages enhanced GPU detection from Plan 01
- Conservative fallback to low_end tier ensures stability on uncertain systems
## Deviations from Plan
None - plan executed exactly as written.
## Issues Encountered
None - all components implemented and verified successfully.
## User Setup Required
None - no external service configuration required.
## Next Phase Readiness
Hardware tier detection system complete and ready for integration with:
- Proactive scaling system (Plan 03-03)
- Resource personality communication (Plan 03-04)
- Model interface selection system
- Conversation engine optimization
---
*Phase: 03-resource-management*
*Completed: 2026-01-27*