Your MeshAdmin Performance Analytics Dashboard now includes a complete LLM model management system with all the features you requested:
- ✅ Automatic model scanning from
/Volumes/Seagate-5TB/models - ✅ 92 models detected and displayed in a responsive grid
- ✅ Model cards showing name, size, format, and status
- ✅ Real-time status indicators (Loaded/Available)
- ✅ Load models with one-click buttons
- ✅ Unload models to free memory
- ✅ Status tracking showing which model is currently loaded
- ✅ Error handling with user-friendly messages
- ✅ Change models directory through the dashboard
- ✅ Configuration modal with all LLM settings:
- Models Directory Path
- Default Model
- Max Tokens (1-8192)
- Temperature (0-2.0)
- Context Window (512-32768)
- GPU Enable/Disable
- ✅ Real-time directory rescanning when path changes
- ✅ Drag & drop upload interface
- ✅ Click to browse file selection
- ✅ Supported formats: .gguf, .bin, .safetensors, .pt, .pth
- ✅ Upload progress tracking
- ✅ Automatic model refresh after upload
- ✅ Delete models directly from the dashboard
- ✅ Confirmation dialog to prevent accidental deletion
- ✅ Automatic grid refresh after deletion
- ✅ Safety checks and error handling
- ✅ Professional dark theme throughout
- ✅ Smooth animations and hover effects
- ✅ Color-coded status indicators
- ✅ Responsive grid layout for models
- ✅ Modal dialogs for configuration and upload
- ✅ Form validation for all settings
- ✅ Real-time feedback and status updates
- ✅ Drag & drop visual feedback
GET /api/llm/status - Get LLM integration status
GET /api/llm/models - List all available models
POST /api/llm/load - Load a specific model
POST /api/llm/unload - Unload current model
GET /api/llm/config - Get current configuration
POST /api/llm/config - Update configuration
POST /api/llm/upload - Upload new model file
POST /api/llm/delete - Delete existing model
python enhanced_dashboard.py
# Open http://localhost:8080- Scroll down to the "🤖 LLM Model Management" section
- View all 92 models in the grid layout
- Load/Unload models with the action buttons
- Configure settings with the ⚙️ Configuration button
- Upload new models with the 📤 Upload Model button
- Change models directory to any path you prefer
- Adjust LLM parameters for optimal performance
- Save settings and see immediate updates
- Drag files directly onto the upload area
- Click to browse for model files
- Watch upload progress in real-time
- See new models appear automatically
- Click 🗑️ Delete on any model card
- Confirm deletion in the safety dialog
- Models removed from filesystem and grid
Each model card shows:
- 📝 Model Name (clickable for actions)
- 📊 File Size in MB
- 📁 Format (.gguf, .bin, etc.)
- ⚡ Status (Loaded/Available)
- 🎯 Action Buttons (Load/Unload/Delete)
The LLM models can be used for:
- 🧠 Intelligent performance analysis
- 📊 Natural language insights
- 🚨 AI-powered alert explanations
- 💡 Smart optimization suggestions
- 📈 Predictive analytics descriptions
- Uses llama-cpp-python for optimal performance
- GPU acceleration support (configurable)
- Memory management with load/unload capability
- Error handling for unsupported models
- Safe deletion with confirmation
- Atomic uploads with progress tracking
- Automatic directory scanning
- Format validation for supported types
- Real-time updates to LLM settings
- Directory path changes trigger model rescanning
- Parameter validation for all inputs
- Graceful error handling
Your dashboard now has complete LLM model management capabilities:
✅ Change models directory - Switch between drives/folders
✅ Load/unload models - Manage memory and performance
✅ Upload new models - Add models via drag & drop
✅ Delete models - Remove unwanted files safely
✅ Configure parameters - Optimize for your use case
✅ Beautiful dark UI - Professional and easy on the eyes
✅ Real-time updates - Immediate feedback on all actions
Access your enhanced dashboard at: http://localhost:8080
The LLM Model Management section is at the bottom of the page with full functionality for all your model management needs!