Core Features
Headlamp-KAITO provides a comprehensive set of features designed to simplify AI model deployment and management in Kubernetes environments.
Model Catalog Management
Dynamic Model Discovery
- Real-time Model Loading: Automatically discovers and displays available KAITO preset models from the official repository
- Smart Filtering: Filter models by company, use case, or specific requirements
- Search Functionality: Quickly find models using the integrated search feature
- Model Information: View detailed information about each model including resource requirements and capabilities
One-Click Deployment
- Visual YAML Editor: Interactive YAML editor with syntax highlighting and validation
- Auto-Configuration: Automatically selects appropriate instance types based on model requirements
- Template Generation: Generates complete Workspace YAML configurations with best practices
- Validation: Real-time validation of YAML configurations before deployment
Workspace Management
Comprehensive Monitoring
- Real-time Status Updates: Monitor deployment progress with live status indicators
- Resource Tracking: View GPU node provisioning and resource allocation
- Health Monitoring: Track inference readiness and job execution status
- Event Logging: Access detailed event logs for troubleshooting
Visual Status Indicators
- Color-coded Status: Intuitive visual indicators for different deployment states
- Progress Tracking: Clear visibility into deployment phases
- Error Reporting: Detailed error messages and resolution guidance
- Performance Metrics: Monitor resource utilization and performance
Interactive Chat Interface
Advanced Chat Features
- Streaming Responses: Real-time message streaming for natural conversation flow
- Message History: Persistent conversation history during sessions
- Markdown Support: Rich text formatting with code syntax highlighting
- Error Handling: Robust error handling with automatic retry mechanisms
Model Configuration
- Model Selection: Choose from available deployed models
- Parameter Tuning: Adjust temperature, max tokens, top P, top K
- Session Management: Manage multiple chat sessions with different models
- Response Formatting: Customizable response formatting and display options
Port Forwarding Integration
Seamless Connectivity
- Automatic Port Forwarding: Built-in port forwarding to model inference endpoints
- Connection Status: Real-time connection status monitoring
- Error Recovery: Automatic reconnection and error recovery
- Security: Secure tunneling through Kubernetes API server
GPU Resource Management
Intelligent Provisioning
- Auto-scaling: Automatic GPU node provisioning based on model requirements
- Resource Optimization: Intelligent resource allocation and optimization
- Multi-tenant Support: Support for multiple workspaces and users
- Cost Management: Efficient resource utilization to minimize costs
Instance Type Selection
- Smart Recommendations: Automatic instance type recommendations based on model size
- Custom Configuration: Override default instance types for specific requirements
- Resource Validation: Validate resource availability before deployment
- Performance Optimization: Optimize instance selection for best performance
Integration Capabilities
Kubernetes Native
- CRD Integration: Native integration with KAITO Custom Resource Definitions
- RBAC Support: Role-based access control integration
- Namespace Isolation: Multi-tenant namespace support
- API Compatibility: Full compatibility with Kubernetes API standards
Headlamp Plugin Architecture
- Plugin Framework: Built on Headlamp's extensible plugin architecture
- Theme Integration: Seamless integration with Headlamp themes and styling
- Navigation: Integrated navigation with Headlamp's sidebar and routing
- State Management: Consistent state management with Headlamp's React context
Developer Experience
Modern UI/UX
- Dark/Light Mode: Support for both dark and light themes
- Accessibility: WCAG compliant accessibility features
- Intuitive Navigation: User-friendly navigation and workflow design
Documentation Integration
- Contextual Help: Built-in help and documentation links
- Tooltips: Helpful tooltips and guidance throughout the interface
- Best Practices: Embedded best practices and recommendations
- Troubleshooting: Integrated troubleshooting guides and error resolution