- Add ConversationMetadata to imports
- Fix metadata initialization in create_conversation()
- Resolve type error for conversation metadata
File: src/models/context_manager.py
- Define Message, Conversation, ContextBudget, and ContextWindow classes
- Implement MessageRole and MessageType enums for classification
- Add Pydantic models for validation and serialization
- Include importance scoring and token estimation utilities
- Support system, user, assistant, and tool message types
File: src/models/conversation.py (147 lines)
- Created ResourceMonitor class with psutil integration
- Monitor CPU usage, memory availability, and GPU VRAM
- Added resource trend analysis for load prediction
- Implemented should_switch_model() logic based on thresholds
- Added can_load_model() method with safety margins
- Follow Pattern 2 from research: Resource-Aware Model Selection
- Graceful handling of missing gpu-tracker dependency
- Created LMStudioAdapter class using lmstudio-python SDK
- Added context manager get_client() for safe client handling
- Implemented list_available_models() with size estimation
- Added load_model(), unload_model(), get_model_info() methods
- Created mock_lmstudio.py for graceful fallback when lmstudio not installed
- Included error handling for LM Studio not running and model loading failures
- Implemented Pattern 1 from research: Model Client Factory
- Created pyproject.toml with lmstudio, psutil, pydantic dependencies
- Created requirements.txt as fallback for pip install
- Created src/models/__init__.py with proper imports
- Set up PEP 518 compliant package structure
- Fixed .gitignore to allow src/models/ directory
