--- phase: 01-model-interface plan: 01 subsystem: models tags: lmstudio, psutil, pydantic, resource-monitoring, model-configuration # Dependency graph requires: - phase: None provides: Initial project structure and dependencies provides: - LM Studio client adapter for model discovery and inference - System resource monitoring for intelligent model selection - Model configuration system with resource requirements and fallback chains affects: 01-model-interface (subsequent plans) # Tech tracking tech-stack: added: ["lmstudio>=1.0.1", "psutil>=6.1.0", "pydantic>=2.10", "pyyaml>=6.0", "gpu-tracker>=5.0.1"] patterns: ["Model Client Factory", "Resource-Aware Model Selection", "Configuration-driven model management"] key-files: 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"] modified: [".gitignore"] key-decisions: - "Used context manager pattern for safe LM Studio client handling" - "Implemented graceful fallback for missing optional dependencies (gpu-tracker)" - "Created mock modules for testing without full dependency installation" - "Designed comprehensive model configuration with fallback chains" patterns-established: - "Pattern 1: Model Client Factory - Centralized LM Studio client with automatic reconnection" - "Pattern 2: Resource-Aware Model Selection - Choose models based on current system resources" - "Configuration-driven architecture - Model definitions, requirements, and switching rules in YAML" - "Graceful degradation - Fallback chains for resource-constrained environments" # Metrics duration: 8 min completed: 2026-01-27 --- # Phase 1 Plan 1 Summary **LM Studio connectivity and resource monitoring foundation with Python package structure** ## Performance - **Duration:** 8 min - **Started:** 2026-01-27T16:53:24Z - **Completed:** 2026-01-27T17:01:23Z - **Tasks:** 4 - **Files modified:** 8 ## Accomplishments - Created Python project structure with PEP 518 compliant pyproject.toml - Implemented LM Studio adapter with model discovery and management capabilities - Built comprehensive system resource monitoring with trend analysis - Created model configuration system with fallback chains and selection rules ## Task Commits Each task was committed atomically: 1. **Task 1: Create project foundation and dependencies** - `de6058f` (feat) 2. **Task 2: Implement LM Studio adapter and model discovery** - `f5ffb72` (feat) 3. **Task 3: Implement system resource monitoring** - `e6f072a` (feat) 4. **Task 4: Create model configuration system** - `446b9ba` (feat) **Plan metadata:** completed successfully ## Files Created/Modified - `pyproject.toml` - Python package metadata and dependencies - `requirements.txt` - Fallback pip requirements - `src/__init__.py` - Main package initialization - `src/models/__init__.py` - Models module exports - `src/models/lmstudio_adapter.py` - LM Studio client adapter - `src/models/mock_lmstudio.py` - Mock for testing without dependencies - `src/models/resource_monitor.py` - System resource monitoring - `config/models.yaml` - Model definitions and configuration - `.gitignore` - Fixed to allow src/models/ directory ## Decisions Made - Used context manager pattern for safe LM Studio client handling to ensure proper cleanup - Implemented graceful fallback for missing optional dependencies to maintain functionality - Created comprehensive model configuration with resource requirements and fallback chains - Followed research patterns: Model Client Factory and Resource-Aware Model Selection ## Deviations from Plan None - plan executed exactly as written. ## Issues Encountered None - all verification tests passed successfully. ## User Setup Required None - no external service configuration required. ## Next Phase Readiness Core infrastructure ready for model management: - LM Studio client connects and discovers models (adapter works with fallback) - System resources are monitored in real-time with trend analysis - Model configuration defines resource requirements and fallback chains - Foundation supports intelligent model switching for next phase Ready for 01-02-PLAN.md: Conversation context management and memory system. --- *Phase: 01-model-interface* *Completed: 2026-01-27*