---
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*