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Tasks completed: 4/4 - Created Python project foundation with dependencies - Implemented LM Studio adapter with model discovery - Implemented system resource monitoring with trend analysis - Created model configuration system with fallback chains SUMMARY: .planning/phases/01-model-interface/01-01-SUMMARY.md STATE: Updated to reflect plan completion
114 lines
4.3 KiB
Markdown
114 lines
4.3 KiB
Markdown
---
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phase: 01-model-interface
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plan: 01
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subsystem: models
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tags: lmstudio, psutil, pydantic, resource-monitoring, model-configuration
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# Dependency graph
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requires:
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- phase: None
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provides: Initial project structure and dependencies
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provides:
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- LM Studio client adapter for model discovery and inference
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- System resource monitoring for intelligent model selection
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- Model configuration system with resource requirements and fallback chains
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affects: 01-model-interface (subsequent plans)
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# Tech tracking
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tech-stack:
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added: ["lmstudio>=1.0.1", "psutil>=6.1.0", "pydantic>=2.10", "pyyaml>=6.0", "gpu-tracker>=5.0.1"]
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patterns: ["Model Client Factory", "Resource-Aware Model Selection", "Configuration-driven model management"]
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key-files:
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created: ["src/models/lmstudio_adapter.py", "src/models/resource_monitor.py", "config/models.yaml", "pyproject.toml", "requirements.txt", "src/models/__init__.py", "src/__init__.py"]
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modified: [".gitignore"]
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key-decisions:
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- "Used context manager pattern for safe LM Studio client handling"
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- "Implemented graceful fallback for missing optional dependencies (gpu-tracker)"
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- "Created mock modules for testing without full dependency installation"
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- "Designed comprehensive model configuration with fallback chains"
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patterns-established:
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- "Pattern 1: Model Client Factory - Centralized LM Studio client with automatic reconnection"
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- "Pattern 2: Resource-Aware Model Selection - Choose models based on current system resources"
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- "Configuration-driven architecture - Model definitions, requirements, and switching rules in YAML"
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- "Graceful degradation - Fallback chains for resource-constrained environments"
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# Metrics
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duration: 8 min
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completed: 2026-01-27
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---
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# Phase 1 Plan 1 Summary
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**LM Studio connectivity and resource monitoring foundation with Python package structure**
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## Performance
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- **Duration:** 8 min
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- **Started:** 2026-01-27T16:53:24Z
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- **Completed:** 2026-01-27T17:01:23Z
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- **Tasks:** 4
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- **Files modified:** 8
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## Accomplishments
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- Created Python project structure with PEP 518 compliant pyproject.toml
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- Implemented LM Studio adapter with model discovery and management capabilities
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- Built comprehensive system resource monitoring with trend analysis
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- Created model configuration system with fallback chains and selection rules
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## Task Commits
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Each task was committed atomically:
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1. **Task 1: Create project foundation and dependencies** - `de6058f` (feat)
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2. **Task 2: Implement LM Studio adapter and model discovery** - `f5ffb72` (feat)
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3. **Task 3: Implement system resource monitoring** - `e6f072a` (feat)
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4. **Task 4: Create model configuration system** - `446b9ba` (feat)
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**Plan metadata:** completed successfully
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## Files Created/Modified
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- `pyproject.toml` - Python package metadata and dependencies
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- `requirements.txt` - Fallback pip requirements
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- `src/__init__.py` - Main package initialization
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- `src/models/__init__.py` - Models module exports
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- `src/models/lmstudio_adapter.py` - LM Studio client adapter
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- `src/models/mock_lmstudio.py` - Mock for testing without dependencies
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- `src/models/resource_monitor.py` - System resource monitoring
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- `config/models.yaml` - Model definitions and configuration
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- `.gitignore` - Fixed to allow src/models/ directory
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## Decisions Made
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- Used context manager pattern for safe LM Studio client handling to ensure proper cleanup
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- Implemented graceful fallback for missing optional dependencies to maintain functionality
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- Created comprehensive model configuration with resource requirements and fallback chains
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- Followed research patterns: Model Client Factory and Resource-Aware Model Selection
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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 verification tests passed 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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Core infrastructure ready for model management:
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- LM Studio client connects and discovers models (adapter works with fallback)
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- System resources are monitored in real-time with trend analysis
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- Model configuration defines resource requirements and fallback chains
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- Foundation supports intelligent model switching for next phase
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Ready for 01-02-PLAN.md: Conversation context management and memory system.
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---
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*Phase: 01-model-interface*
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*Completed: 2026-01-27* |