- Remove auto-detection logic, just use download_model from cache
- User can specify --download-file-pattern for non-GGUF models

- Scan HuggingFace repo to detect available file patterns
- Try multiple patterns (.gguf, .safetensors, .bin, .pt, .pth)
- Default to .gguf if nothing found

- **Model Manager**: Central coordinator for model lifecycle, alias resolution, loading/unloading
- **Cache Module**: Handles downloading, caching, and storage of models
- **API Modules**: Request models from Model Manager (not directly from cache)

Key changes:
- Removed resolve_and_load_model() from cache - moved logic to Model Manager
- Model Manager now downloads/caches models at startup when registered
- API modules use multi_model_manager.load_model() instead of cache functions
- Proper separation: Cache=storage, Manager=lifecycle coordination, APIs=requests

This fixes the incorrect direct API-to-cache coupling and establishes proper architectural boundaries.

- Updated load_model() to handle three input types:
  1. Local files: Use directly without caching
  2. URLs: Download to cache if not cached, then use
  3. HF model IDs: Download via HF API if not cached, then use
- Updated get_cached_model_path() to validate local files
- Enhanced module documentation to reflect new capabilities
- All model types (text, image, audio, etc.) can now use any input type

- Updated remove_cached_model() to remove entire repo directories when matching by repo_id
- Previously only removed individual files, now removes complete repository cache
- Handles both files and directories in removal process
- More thorough cleanup of HuggingFace cached models

- Added unified load_model() function as main entry point for model loading
- Updated WhisperServerManager to use centralized load_model() instead of inline logic
- Removed proxy methods from MultiModelManager - use cache module directly
- All cache functions now work seamlessly with both GGUF and HF model caches
- Improved separation of concerns: cache module handles all caching/downloading

- Updated get_cached_model_path() to check both coderai and HF caches
- Updated download_model() to handle both URLs and HF model IDs automatically
- Made download_huggingface_model() consistent with unified API
- Updated module docstring to reflect unified cache functionality
- All cache functions now work seamlessly with both cache types

- Updated remove_cached_model() to search by repo_id for HuggingFace models
- Moved cache management options (--list-cached-models, --remove-model, --remove-all-models) to run before heavy imports
- Improved cache operations to use centralized functions in codai.models.cache module
- Fixed model removal to work with full repo IDs like 'TheBloke/Llama-2-7B-GGUF'

- Add list_cached_models_info() function to codai.models.cache module
- Move cache listing logic from main.py to the cache module
- Update main.py to use the centralized function early (before heavy imports)
- Improves code organization and avoids unnecessary imports for --list-cached-models

- Updated get_all_cache_dirs() to properly find HuggingFace hub directory
- Now checks for ~/.cache/huggingface/hub/ instead of just ~/.cache/huggingface/
- This fixes --list-cached-models not showing HuggingFace cached models

Created codai/models/cache/__init__.py with:
- get_model_cache_dir()
- get_all_cache_dirs()
- get_cached_model_path()
- is_huggingface_model_id()
- download_huggingface_model()
- download_model()
- list_cached_models()
- remove_cached_model()
- remove_all_cached_models()

This extracts the cache-related functionality into a separate module.