Agent and Tools
Last updated
Last updated
Dotbase provides a comprehensive suite of agent types and tools for building sophisticated AI workforces. Built on Microsoft's Autogen framework, our components enable seamless integration and collaboration between different AI agents.
A configurable ConversableAgent subclass designed for specialized tasks and workflows. This agent type serves as the foundation for creating specialized AI workers with defined roles and capabilities.
Dynamic system prompt configuration for role definition
Custom tool integration for enhanced capabilities
Adjustable model parameters for response control
Memory management for conversation context
Task specialization through prompt engineering
Real-time learning and adaptation
Multi-step reasoning capabilities
Error recovery and fallback strategies
Data analysis and processing
Content generation and editing
Research assistance
Code generation and review
Technical documentation
Problem-solving tasks
Integration with NovaMind Assistant API for enhanced capabilities. This agent type leverages NovaMind specialized assistants with their unique capabilities and knowledge bases.
NovaMind Assistant integration with custom configurations
Specialized function support for complex tasks
Advanced knowledge retrieval using NovaMind systems
Code interpretation and execution
File handling and analysis
Multi-modal input processing
Dynamic context management
Integration with external tools and APIs
Complex data analysis
Natural language processing
Code generation and debugging
Document analysis and summary
Mathematical computations
API integration tasks
Interface between human operators and AI agents. This component manages all human-AI interactions and feedback loops.
Real-time feedback handling for continuous improvement
Task delegation with priority management
Result verification and quality assurance
Error management and recovery
Input validation and preprocessing
Output formatting and presentation
Session management and context preservation
User preference handling
Synchronous communication
Asynchronous batch processing
Interactive debugging
Multi-step validation
Progress monitoring
Orchestration hub for multi-agent collaboration. This central component manages agent interactions and workflow coordination.
Agent communication routing
Task distribution and load balancing
Conversation flow management
Memory synchronization
Error handling and recovery
Performance monitoring
Resource allocation
State management
Dynamic agent allocation
Priority-based scheduling
Conflict resolution
Conversation checkpointing
Performance optimization
Security enforcement
Extensible function integration for enhanced agent capabilities. Functions serve as modular tools that agents can use to perform specific tasks.
Custom Python function integration
NovaMind function calling support
Error handling and validation
Input/output type safety
Performance monitoring
Resource management
Asynchronous execution
Retry mechanisms
Authentication
OAuth 2.0 / JWT
Rate Limiting
Token bucket algorithm
Monitoring
Prometheus metrics
Logging
Structured JSON logs
Caching
Redis with LRU policy