Alfari - Configuration Management Agent
Overview
Alfari is the Configuration Management agent in the TKM AI Agency Platform, responsible for managing LLM configurations, provider settings, and agent-specific configurations. It ensures consistent configuration management across the platform while supporting different user tiers and organization-specific settings.
Directory Structure
Backend/Backoffice/Alfari/
├── data/ # Configuration storage
├── alfari.py # Main agent implementation
├── api_alfari.py # FastAPI endpoints
├── alfari_tools.py # Configuration utilities
├── alfari_schema.py # Data models and schemas
├── alfari_migrations.py # Database migrations
└── test_alfari.py # Unit tests
Main Components
AlfariAgent Class
The core component that handles configuration management:
- Configuration loading and validation
- Version control
- User-specific settings
- Organization-level configurations
Processing Pipeline
-
Configuration Request
- User authentication
- Membership verification
- Permission checking
- Context gathering
-
Configuration Processing
- Default config loading
- Custom config merging
- Validation checks
- Version tracking
-
Configuration Storage
- Database persistence
- Version management
- Audit logging
- Backup handling
Key Features
Configuration Management
- Default configuration handling
- Custom user configurations
- Organization-specific settings
- Version control system
LLM Provider Integration
- Provider configuration management
- Model settings customization
- Token usage tracking
- Performance optimization
Security Features
- Role-based access control
- Configuration validation
- Version history tracking
- Audit logging
Performance Features
- Configuration caching
- Lazy loading
- Batch updates
- Efficient storage
Integration
Database Connection
- SingleStore integration
- Schema management
- Query optimization
- Connection pooling
Event System
- Configuration updates
- Version changes
- Audit events
- Error notifications
Agent Communication
- Configuration distribution
- Update notifications
- Status reporting
- Health checks
Error Handling
Configuration Errors
- Validation failures
- Permission issues
- Version conflicts
- Storage problems
Recovery Mechanisms
- Automatic rollback
- Version recovery
- Error logging
- Alert system
Integration with Other Agents
Core Dependencies
- Niger: Database operations and persistence
- Barbatus: Authentication and session management
- Gulosa: User management and permissions
- Lyra: Notification handling
Optional Integration
- Gigantea: System monitoring
- Messor: Task scheduling
- Sessile: Cache management