# Agents & Tools

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.

```mermaid
graph LR
    A[Interface] --> B[Hub]
    C[Agent] --> B
    D[GPTAgent] --> B
    E[Function] --> C & D
    style B fill:#2563eb,stroke:#1e40af,color:#fff
    style A fill:#059669,stroke:#047857,color:#fff
    style C fill:#7c3aed,stroke:#6d28d9,color:#fff
    style D fill:#7c3aed,stroke:#6d28d9,color:#fff
    style E fill:#ea580c,stroke:#c2410c,color:#fff
```

### Agent Types

**Nexus**

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.

```typescript
interface AgentConfig {
    name: string;
    systemPrompt: string;
    model: string;
    temperature?: number;
    maxTokens?: number;
    tools?: Function[];
}
```

**Key Features**

* 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

**Use Cases**

* Data analysis and processing
* Content generation and editing
* Research assistance
* Code generation and review
* Technical documentation
* Problem-solving tasks

**Lumina**

Integration with NovaMind Assistant API for enhanced capabilities. This agent type leverages NovaMind specialized assistants with their unique capabilities and knowledge bases.

```typescript
interface NovaMindAgentConfig {
    assistantId: string;
    name: string;
    tools: string[];
    model?: string;
    metadata?: Record<string, unknown>;
}
```

**Capabilities**

* 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

**Applications**

* Complex data analysis
* Natural language processing
* Code generation and debugging
* Document analysis and summary
* Mathematical computations
* API integration tasks

**Bridge**

Interface between human operators and AI agents. This component manages all human-AI interactions and feedback loops.

```typescript
interface InterfaceConfig {
    name: string;
    humanFeedback: boolean;
    maxRetries?: number;
    feedbackType?: 'immediate' | 'batched';
}
```

**Features**

* 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

**Interaction Modes**

* Synchronous communication
* Asynchronous batch processing
* Interactive debugging
* Multi-step validation
* Progress monitoring

**Synergy Hub**

Orchestration hub for multi-agent collaboration. This central component manages agent interactions and workflow coordination.

```typescript
interface HubConfig {
    agents: string[];
    maxRounds: number;
    enableMemory: boolean;
    timeoutSeconds?: number;
    adminAgent?: string;
}
```

**Core Functions**

* Agent communication routing
* Task distribution and load balancing
* Conversation flow management
* Memory synchronization
* Error handling and recovery
* Performance monitoring
* Resource allocation
* State management

**Advanced Features**

* Dynamic agent allocation
* Priority-based scheduling
* Conflict resolution
* Conversation checkpointing
* Performance optimization
* Security enforcement

### Tools

**Spark**

Extensible function integration for enhanced agent capabilities. Functions serve as modular tools that agents can use to perform specific tasks.

```python
def function(
    param1: str,
    param2: List[str],
    **kwargs
) -> Dict[str, Any]:
    """
    Function template for custom tool integration.
    
    Args:
        param1: Primary parameter
        param2: List of secondary parameters
        **kwargs: Additional parameters
        
    Returns:
        Dict containing operation results
    """
    results = {}
    # Implementation
    return results
```

**Features**

* Custom Python function integration
* NovaMind function calling support
* Error handling and validation
* Input/output type safety
* Performance monitoring
* Resource management
* Asynchronous execution
* Retry mechanisms

### Implementation Examples

#### Data Analysis Pipeline

```mermaid
sequenceDiagram
    participant I as Interface
    participant H as Hub
    participant A as Agent
    participant F as Function
    
    I->>H: Analysis Request
    H->>A: Delegate Task
    A->>F: Process Data
    F-->>A: Results
    A->>H: Analysis
    H->>I: Final Report
```

#### Configuration Best Practices

```python
# Agent Configuration
agent_config = {
    "system_prompt": """
    Role: Data Analysis Specialist
    Objective: Process and analyze complex datasets
    Constraints:
    - Validate input data
    - Handle missing values
    - Provide statistical significance
    """,
    "model": "gpt-4",
    "temperature": 0.7,
    "tools": ["data_processor", "statistical_analyzer"]
}

# Error Handling
error_config = {
    "max_retries": 3,
    "retry_delay": "exponential",
    "fallback_strategy": "default_response",
    "logging": "verbose"
}
```

### Security & Performance

| Feature        | Implementation         |
| -------------- | ---------------------- |
| Authentication | OAuth 2.0 / JWT        |
| Rate Limiting  | Token bucket algorithm |
| Monitoring     | Prometheus metrics     |
| Logging        | Structured JSON logs   |
| Caching        | Redis with LRU policy  |