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AI_Agent_Builder_Framework/README.md
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415
AI_Agent_Builder_Framework/README.md
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# 🤖 AI Agent Builder Framework
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A comprehensive framework for building custom AI agents based on industry patterns and best practices from leading AI tools.
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## 🚀 Features
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### **Core Capabilities**
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- **Modular Agent Creation**: Build custom AI agents with configurable personalities, capabilities, and tools
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- **Template System**: Pre-built templates based on industry-leading AI systems
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- **Dynamic Prompt Generation**: Automatically generate system prompts based on agent configuration
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- **Tool Management**: Comprehensive tool integration and management system
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- **Memory Systems**: Persistent memory with configurable storage and retention
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- **Real-time Communication**: WebSocket-based real-time agent communication
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- **RESTful API**: Complete API for agent management and interaction
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|
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### **Agent Types**
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- **Autonomous Agents**: Self-directed execution with minimal user intervention
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- **Guided Assistants**: Information gathering and decision support
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- **Specialized Tools**: Domain-specific expertise and capabilities
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- **Hybrid Agents**: Combination of autonomous and guided approaches
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|
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### **Personality Profiles**
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- **Helpful**: Supportive and comprehensive assistance
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- **Professional**: Efficient and accurate communication
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- **Friendly**: Warm and approachable interaction
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- **Formal**: Structured and detailed communication
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- **Creative**: Innovative problem-solving approach
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|
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### **Communication Styles**
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- **Conversational**: Natural, engaging dialogue
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- **Formal**: Structured and comprehensive
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- **Brief**: Concise and focused
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- **Detailed**: Thorough explanations and context
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- **Technical**: Precise terminology and depth
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## 📦 Installation
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```bash
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# Clone the repository
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git clone https://github.com/your-username/ai-agent-builder-framework.git
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cd ai-agent-builder-framework
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# Install dependencies
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npm install
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# Set up environment variables
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cp .env.example .env
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# Edit .env with your configuration
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# Start the framework
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npm start
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# For development
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npm run dev
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```
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## 🔧 Configuration
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### Environment Variables
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```env
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# Server Configuration
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PORT=3000
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NODE_ENV=development
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|
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# Security
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CORS_ORIGIN=http://localhost:3000
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ENABLE_AUTH=false
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JWT_SECRET=your-jwt-secret
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# AI Model Configuration
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OPENAI_API_KEY=your-openai-api-key
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ANTHROPIC_API_KEY=your-anthropic-api-key
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# Database Configuration
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DATABASE_URL=your-database-url
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REDIS_URL=your-redis-url
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# Logging
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LOG_LEVEL=info
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LOG_FILE=logs/app.log
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```
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|
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## 🎯 Quick Start
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### 1. Create Your First Agent
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```javascript
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const AgentBuilder = require('./src/core/AgentBuilder');
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const agentBuilder = new AgentBuilder();
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|
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const agent = await agentBuilder.createAgent({
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name: "My Custom Assistant",
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type: "autonomous",
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personality: "helpful",
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communicationStyle: "conversational",
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capabilities: ["code-generation", "web-search", "file-operations"],
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memory: true,
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planning: true
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});
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console.log('Agent created:', agent.id);
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```
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### 2. Using Templates
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```javascript
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// Create agent from template
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const agent = await agentBuilder.createFromTemplate('cursor-v1.2', {
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name: "My Cursor-like Agent",
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customPrompt: "Additional custom instructions..."
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});
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```
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### 3. API Usage
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```bash
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# Create an agent
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curl -X POST http://localhost:3000/api/agents \
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-H "Content-Type: application/json" \
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-d '{
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"name": "My Agent",
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"type": "autonomous",
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"personality": "helpful"
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}'
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# List all agents
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curl http://localhost:3000/api/agents
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# Get specific agent
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curl http://localhost:3000/api/agents/{agent-id}
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```
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## 🏗️ Architecture
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### Core Modules
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```
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src/
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├── core/
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│ ├── AgentBuilder.js # Main agent creation logic
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│ ├── PromptEngine.js # Dynamic prompt generation
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│ ├── ToolManager.js # Tool management and integration
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│ ├── MemoryManager.js # Memory system management
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│ └── ConfigManager.js # Configuration management
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├── routes/
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│ ├── agents.js # Agent management endpoints
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│ ├── prompts.js # Prompt management endpoints
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│ ├── tools.js # Tool management endpoints
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│ └── config.js # Configuration endpoints
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├── middleware/
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│ ├── auth.js # Authentication middleware
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│ ├── rateLimiter.js # Rate limiting
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│ └── errorHandler.js # Error handling
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├── utils/
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│ ├── Logger.js # Logging utility
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│ └── Validator.js # Input validation
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└── templates/
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├── cursor-v1.2.json # Cursor agent template
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├── devin-ai.json # Devin AI template
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└── replit-agent.json # Replit agent template
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```
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### Data Structure
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```javascript
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{
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"id": "uuid",
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"name": "Agent Name",
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"type": "autonomous|guided|specialized|hybrid",
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"personality": "helpful|professional|friendly|formal|creative",
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"communicationStyle": "conversational|formal|brief|detailed|technical",
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"capabilities": ["code-generation", "web-search", ...],
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"tools": [...],
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"memory": true,
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"planning": false,
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"customPrompt": "Additional instructions...",
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"systemPrompt": "Generated system prompt...",
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"toolsConfig": [...],
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"memoryConfig": {...},
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"createdAt": "2024-01-01T00:00:00.000Z",
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"version": "1.0.0",
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"status": "active"
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}
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```
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## 🔌 API Reference
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|
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### Agents
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#### `POST /api/agents`
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Create a new agent
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**Request Body:**
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```json
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{
|
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"name": "string",
|
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"type": "autonomous|guided|specialized|hybrid",
|
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"personality": "helpful|professional|friendly|formal|creative",
|
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"communicationStyle": "conversational|formal|brief|detailed|technical",
|
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"capabilities": ["string"],
|
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"tools": ["string"],
|
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"memory": boolean,
|
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"planning": boolean,
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"customPrompt": "string"
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}
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```
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#### `GET /api/agents`
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List all agents
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#### `GET /api/agents/:id`
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Get specific agent
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|
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#### `PUT /api/agents/:id`
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Update agent
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|
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#### `DELETE /api/agents/:id`
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Delete agent
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|
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### Prompts
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|
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#### `POST /api/prompts/generate`
|
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Generate a system prompt
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|
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**Request Body:**
|
||||
```json
|
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{
|
||||
"type": "autonomous",
|
||||
"personality": "helpful",
|
||||
"communicationStyle": "conversational",
|
||||
"capabilities": ["code-generation"],
|
||||
"customPrompt": "string"
|
||||
}
|
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```
|
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|
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### Tools
|
||||
|
||||
#### `GET /api/tools`
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List available tools
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|
||||
#### `POST /api/tools`
|
||||
Add custom tool
|
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|
||||
### Configuration
|
||||
|
||||
#### `GET /api/config`
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Get framework configuration
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|
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#### `PUT /api/config`
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Update framework configuration
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|
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## 🎨 WebSocket Events
|
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|
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### Client to Server
|
||||
|
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- `create-agent`: Create a new agent
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- `generate-prompt`: Generate a system prompt
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- `manage-tools`: Manage agent tools
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### Server to Client
|
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|
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- `agent-created`: Agent creation result
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- `prompt-generated`: Prompt generation result
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- `tools-managed`: Tool management result
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## 📊 Templates
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|
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### Available Templates
|
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|
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- **cursor-v1.2**: Cursor AI agent template
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- **devin-ai**: Devin AI autonomous agent
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- **replit-agent**: Replit coding assistant
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- **perplexity**: Perplexity search assistant
|
||||
- **cluely**: Cluely guided assistant
|
||||
- **lovable**: Lovable friendly assistant
|
||||
|
||||
### Creating Custom Templates
|
||||
|
||||
```json
|
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{
|
||||
"name": "my-custom-template",
|
||||
"description": "My custom agent template",
|
||||
"version": "1.0.0",
|
||||
"config": {
|
||||
"type": "autonomous",
|
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"personality": "helpful",
|
||||
"communicationStyle": "conversational",
|
||||
"capabilities": ["code-generation", "web-search"],
|
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"memory": true,
|
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"planning": true
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}
|
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}
|
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```
|
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|
||||
## 🧪 Testing
|
||||
|
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```bash
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# Run all tests
|
||||
npm test
|
||||
|
||||
# Run specific test file
|
||||
npm test -- --testPathPattern=AgentBuilder.test.js
|
||||
|
||||
# Run tests with coverage
|
||||
npm test -- --coverage
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```
|
||||
|
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## 📈 Monitoring
|
||||
|
||||
### Health Check
|
||||
|
||||
```bash
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curl http://localhost:3000/health
|
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```
|
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|
||||
Response:
|
||||
```json
|
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{
|
||||
"status": "healthy",
|
||||
"timestamp": "2024-01-01T00:00:00.000Z",
|
||||
"version": "1.0.0",
|
||||
"uptime": 3600
|
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}
|
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```
|
||||
|
||||
### Logging
|
||||
|
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The framework uses Winston for logging with configurable levels:
|
||||
|
||||
- `error`: Error messages
|
||||
- `warn`: Warning messages
|
||||
- `info`: Information messages
|
||||
- `debug`: Debug messages
|
||||
|
||||
## 🔒 Security
|
||||
|
||||
### Authentication
|
||||
|
||||
Enable authentication by setting `ENABLE_AUTH=true` in your environment variables.
|
||||
|
||||
### Rate Limiting
|
||||
|
||||
Built-in rate limiting to prevent abuse:
|
||||
|
||||
- 100 requests per minute per IP
|
||||
- 1000 requests per hour per IP
|
||||
|
||||
### CORS
|
||||
|
||||
Configurable CORS settings for cross-origin requests.
|
||||
|
||||
## 🚀 Deployment
|
||||
|
||||
### Docker
|
||||
|
||||
```dockerfile
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||||
FROM node:18-alpine
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
COPY package*.json ./
|
||||
RUN npm ci --only=production
|
||||
|
||||
COPY . .
|
||||
|
||||
EXPOSE 3000
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||||
|
||||
CMD ["npm", "start"]
|
||||
```
|
||||
|
||||
### Environment Variables for Production
|
||||
|
||||
```env
|
||||
NODE_ENV=production
|
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PORT=3000
|
||||
CORS_ORIGIN=https://yourdomain.com
|
||||
ENABLE_AUTH=true
|
||||
JWT_SECRET=your-secure-jwt-secret
|
||||
```
|
||||
|
||||
## 🤝 Contributing
|
||||
|
||||
1. Fork the repository
|
||||
2. Create a feature branch
|
||||
3. Make your changes
|
||||
4. Add tests for new functionality
|
||||
5. Submit a pull request
|
||||
|
||||
## 📄 License
|
||||
|
||||
MIT License - see [LICENSE](LICENSE) file for details.
|
||||
|
||||
## 🙏 Acknowledgments
|
||||
|
||||
This framework is inspired by and builds upon the patterns from:
|
||||
|
||||
- Cursor AI
|
||||
- Devin AI
|
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- Replit Agent
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- Perplexity
|
||||
- Cluely
|
||||
- Lovable
|
||||
- And many other AI systems
|
||||
|
||||
## 📞 Support
|
||||
|
||||
- **Issues**: [GitHub Issues](https://github.com/your-username/ai-agent-builder-framework/issues)
|
||||
- **Discussions**: [GitHub Discussions](https://github.com/your-username/ai-agent-builder-framework/discussions)
|
||||
- **Documentation**: [Wiki](https://github.com/your-username/ai-agent-builder-framework/wiki)
|
||||
|
||||
---
|
||||
|
||||
**Built with ❤️ for the AI community**
|
||||
73
AI_Agent_Builder_Framework/package.json
Normal file
73
AI_Agent_Builder_Framework/package.json
Normal file
@@ -0,0 +1,73 @@
|
||||
{
|
||||
"name": "ai-agent-builder-framework",
|
||||
"version": "1.0.0",
|
||||
"description": "A comprehensive framework for building custom AI agents based on industry patterns",
|
||||
"main": "src/index.js",
|
||||
"scripts": {
|
||||
"start": "node src/index.js",
|
||||
"dev": "nodemon src/index.js",
|
||||
"build": "webpack --mode production",
|
||||
"test": "jest",
|
||||
"lint": "eslint src/**/*.js",
|
||||
"format": "prettier --write src/**/*.js"
|
||||
},
|
||||
"keywords": [
|
||||
"ai",
|
||||
"agent",
|
||||
"framework",
|
||||
"automation",
|
||||
"prompts",
|
||||
"tools"
|
||||
],
|
||||
"author": "AI Agent Builder Team",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"express": "^4.18.2",
|
||||
"socket.io": "^4.7.2",
|
||||
"openai": "^4.20.1",
|
||||
"anthropic": "^0.7.8",
|
||||
"axios": "^1.5.0",
|
||||
"dotenv": "^16.3.1",
|
||||
"cors": "^2.8.5",
|
||||
"helmet": "^7.0.0",
|
||||
"compression": "^1.7.4",
|
||||
"morgan": "^1.10.0",
|
||||
"winston": "^3.10.0",
|
||||
"joi": "^17.9.2",
|
||||
"bcryptjs": "^2.4.3",
|
||||
"jsonwebtoken": "^9.0.2",
|
||||
"multer": "^1.4.5-lts.1",
|
||||
"sharp": "^0.32.6",
|
||||
"node-cron": "^3.0.2",
|
||||
"redis": "^4.6.8",
|
||||
"mongoose": "^7.5.0",
|
||||
"sqlite3": "^5.1.6",
|
||||
"pg": "^8.11.3",
|
||||
"mysql2": "^3.6.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.1",
|
||||
"jest": "^29.6.4",
|
||||
"eslint": "^8.47.0",
|
||||
"prettier": "^3.0.2",
|
||||
"webpack": "^5.88.2",
|
||||
"webpack-cli": "^5.1.4",
|
||||
"babel-loader": "^9.1.3",
|
||||
"@babel/core": "^7.22.10",
|
||||
"@babel/preset-env": "^7.22.10",
|
||||
"css-loader": "^6.8.1",
|
||||
"style-loader": "^3.3.3",
|
||||
"html-webpack-plugin": "^5.5.3"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=16.0.0"
|
||||
},
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/your-username/ai-agent-builder-framework.git"
|
||||
},
|
||||
"bugs": {
|
||||
"url": "https://github.com/your-username/ai-agent-builder-framework/issues"
|
||||
},
|
||||
"homepage": "https://github.com/your-username/ai-agent-builder-framework#readme"
|
||||
}
|
||||
757
AI_Agent_Builder_Framework/src/core/AgentBuilder.js
Normal file
757
AI_Agent_Builder_Framework/src/core/AgentBuilder.js
Normal file
@@ -0,0 +1,757 @@
|
||||
const fs = require('fs').promises;
|
||||
const path = require('path');
|
||||
const { v4: uuidv4 } = require('uuid');
|
||||
const Logger = require('../utils/Logger');
|
||||
|
||||
class AgentBuilder {
|
||||
constructor() {
|
||||
this.logger = new Logger();
|
||||
this.agentTemplates = new Map();
|
||||
this.neuralNetworks = new Map();
|
||||
this.cognitivePatterns = new Map();
|
||||
this.adaptationEngine = new AdaptationEngine();
|
||||
this.brainTechVersion = '2025.07.31';
|
||||
this.loadTemplates();
|
||||
this.initializeBrainTech();
|
||||
}
|
||||
|
||||
async initializeBrainTech() {
|
||||
try {
|
||||
// Initialize advanced brain technology components
|
||||
this.neuralNetworks.set('pattern-recognition', new NeuralPatternRecognition());
|
||||
this.neuralNetworks.set('cognitive-mapping', new CognitiveArchitectureMapping());
|
||||
this.neuralNetworks.set('adaptive-learning', new AdaptiveLearningSystem());
|
||||
this.neuralNetworks.set('brain-interface', new BrainComputerInterface());
|
||||
|
||||
this.logger.info(`🧠 Brain technology initialized with ${this.neuralNetworks.size} neural networks`);
|
||||
} catch (error) {
|
||||
this.logger.error('Failed to initialize brain technology:', error);
|
||||
}
|
||||
}
|
||||
|
||||
async loadTemplates() {
|
||||
try {
|
||||
// Load agent templates from the collection
|
||||
const templatesPath = path.join(__dirname, '../../templates');
|
||||
const templateFiles = await fs.readdir(templatesPath);
|
||||
|
||||
for (const file of templateFiles) {
|
||||
if (file.endsWith('.json')) {
|
||||
const templatePath = path.join(templatesPath, file);
|
||||
const templateData = await fs.readFile(templatePath, 'utf8');
|
||||
const template = JSON.parse(templateData);
|
||||
this.agentTemplates.set(template.name, template);
|
||||
}
|
||||
}
|
||||
|
||||
this.logger.info(`Loaded ${this.agentTemplates.size} agent templates`);
|
||||
} catch (error) {
|
||||
this.logger.error('Failed to load agent templates:', error);
|
||||
}
|
||||
}
|
||||
|
||||
async createAgent(config) {
|
||||
try {
|
||||
const {
|
||||
name,
|
||||
type = 'autonomous',
|
||||
capabilities = [],
|
||||
personality = 'helpful',
|
||||
communicationStyle = 'conversational',
|
||||
tools = [],
|
||||
memory = true,
|
||||
planning = false,
|
||||
customPrompt = null,
|
||||
brainTech = true,
|
||||
neuralComplexity = 'medium',
|
||||
cognitiveEnhancement = true,
|
||||
adaptiveBehavior = true
|
||||
} = config;
|
||||
|
||||
// Validate configuration
|
||||
this.validateConfig(config);
|
||||
|
||||
// Generate agent ID
|
||||
const agentId = uuidv4();
|
||||
|
||||
// Create agent structure with brain technology
|
||||
const agent = {
|
||||
id: agentId,
|
||||
name,
|
||||
type,
|
||||
capabilities,
|
||||
personality,
|
||||
communicationStyle,
|
||||
tools,
|
||||
memory,
|
||||
planning,
|
||||
customPrompt,
|
||||
brainTech,
|
||||
neuralComplexity,
|
||||
cognitiveEnhancement,
|
||||
adaptiveBehavior,
|
||||
brainTechVersion: this.brainTechVersion,
|
||||
neuralNetworks: this.initializeAgentNeuralNetworks(config),
|
||||
cognitivePatterns: this.analyzeCognitivePatterns(config),
|
||||
adaptationMetrics: this.calculateAdaptationMetrics(config),
|
||||
createdAt: new Date().toISOString(),
|
||||
version: '2.0.0',
|
||||
status: 'active'
|
||||
};
|
||||
|
||||
// Generate system prompt based on type and configuration with brain tech
|
||||
agent.systemPrompt = await this.generateSystemPrompt(agent);
|
||||
|
||||
// Generate tools configuration with neural enhancement
|
||||
agent.toolsConfig = await this.generateToolsConfig(agent);
|
||||
|
||||
// Generate memory configuration with cognitive enhancement
|
||||
if (memory) {
|
||||
agent.memoryConfig = await this.generateMemoryConfig(agent);
|
||||
}
|
||||
|
||||
// Initialize adaptive learning system
|
||||
if (adaptiveBehavior) {
|
||||
agent.adaptiveSystem = await this.initializeAdaptiveSystem(agent);
|
||||
}
|
||||
|
||||
// Save agent configuration
|
||||
await this.saveAgent(agent);
|
||||
|
||||
this.logger.info(`🧠 Created brain-enhanced agent: ${name} (${agentId})`);
|
||||
return agent;
|
||||
|
||||
} catch (error) {
|
||||
this.logger.error('Failed to create agent:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
validateConfig(config) {
|
||||
const required = ['name'];
|
||||
const validTypes = ['autonomous', 'guided', 'specialized', 'hybrid'];
|
||||
const validPersonalities = ['helpful', 'professional', 'friendly', 'formal', 'creative'];
|
||||
const validCommunicationStyles = ['conversational', 'formal', 'brief', 'detailed', 'technical'];
|
||||
const validNeuralComplexities = ['low', 'medium', 'high', 'extreme'];
|
||||
|
||||
// Check required fields
|
||||
for (const field of required) {
|
||||
if (!config[field]) {
|
||||
throw new Error(`Missing required field: ${field}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Validate type
|
||||
if (config.type && !validTypes.includes(config.type)) {
|
||||
throw new Error(`Invalid agent type. Must be one of: ${validTypes.join(', ')}`);
|
||||
}
|
||||
|
||||
// Validate personality
|
||||
if (config.personality && !validPersonalities.includes(config.personality)) {
|
||||
throw new Error(`Invalid personality. Must be one of: ${validPersonalities.join(', ')}`);
|
||||
}
|
||||
|
||||
// Validate communication style
|
||||
if (config.communicationStyle && !validCommunicationStyles.includes(config.communicationStyle)) {
|
||||
throw new Error(`Invalid communication style. Must be one of: ${validCommunicationStyles.join(', ')}`);
|
||||
}
|
||||
|
||||
// Validate neural complexity
|
||||
if (config.neuralComplexity && !validNeuralComplexities.includes(config.neuralComplexity)) {
|
||||
throw new Error(`Invalid neural complexity. Must be one of: ${validNeuralComplexities.join(', ')}`);
|
||||
}
|
||||
}
|
||||
|
||||
initializeAgentNeuralNetworks(config) {
|
||||
const networks = {};
|
||||
|
||||
// Initialize pattern recognition network
|
||||
networks.patternRecognition = {
|
||||
type: 'convolutional',
|
||||
layers: this.calculateNeuralLayers(config.neuralComplexity),
|
||||
activation: 'relu',
|
||||
learningRate: 0.001,
|
||||
status: 'active'
|
||||
};
|
||||
|
||||
// Initialize cognitive mapping network
|
||||
networks.cognitiveMapping = {
|
||||
type: 'recurrent',
|
||||
layers: this.calculateCognitiveLayers(config.capabilities),
|
||||
activation: 'tanh',
|
||||
learningRate: 0.0005,
|
||||
status: 'active'
|
||||
};
|
||||
|
||||
// Initialize adaptive learning network
|
||||
if (config.adaptiveBehavior) {
|
||||
networks.adaptiveLearning = {
|
||||
type: 'reinforcement',
|
||||
layers: this.calculateAdaptiveLayers(config.type),
|
||||
activation: 'sigmoid',
|
||||
learningRate: 0.01,
|
||||
status: 'active'
|
||||
};
|
||||
}
|
||||
|
||||
return networks;
|
||||
}
|
||||
|
||||
calculateNeuralLayers(complexity) {
|
||||
const layerConfigs = {
|
||||
low: [64, 32],
|
||||
medium: [128, 64, 32],
|
||||
high: [256, 128, 64, 32],
|
||||
extreme: [512, 256, 128, 64, 32]
|
||||
};
|
||||
return layerConfigs[complexity] || layerConfigs.medium;
|
||||
}
|
||||
|
||||
calculateCognitiveLayers(capabilities) {
|
||||
const baseLayers = [128, 64];
|
||||
const capabilityLayers = capabilities.length * 16;
|
||||
return [...baseLayers, capabilityLayers, 32];
|
||||
}
|
||||
|
||||
calculateAdaptiveLayers(type) {
|
||||
const typeLayers = {
|
||||
autonomous: [256, 128, 64],
|
||||
guided: [128, 64, 32],
|
||||
specialized: [192, 96, 48],
|
||||
hybrid: [224, 112, 56]
|
||||
};
|
||||
return typeLayers[type] || typeLayers.autonomous;
|
||||
}
|
||||
|
||||
analyzeCognitivePatterns(config) {
|
||||
const patterns = {
|
||||
decisionMaking: this.analyzeDecisionMakingPattern(config),
|
||||
problemSolving: this.analyzeProblemSolvingPattern(config),
|
||||
memoryRetrieval: this.analyzeMemoryRetrievalPattern(config),
|
||||
attentionMechanism: this.analyzeAttentionMechanismPattern(config),
|
||||
creativityPattern: this.analyzeCreativityPattern(config)
|
||||
};
|
||||
return patterns;
|
||||
}
|
||||
|
||||
analyzeDecisionMakingPattern(config) {
|
||||
const patterns = {
|
||||
autonomous: 'proactive-decision-making',
|
||||
guided: 'collaborative-decision-making',
|
||||
specialized: 'expert-decision-making',
|
||||
hybrid: 'adaptive-decision-making'
|
||||
};
|
||||
return patterns[config.type] || patterns.autonomous;
|
||||
}
|
||||
|
||||
analyzeProblemSolvingPattern(config) {
|
||||
const patterns = {
|
||||
autonomous: 'systematic-problem-solving',
|
||||
guided: 'guided-problem-solving',
|
||||
specialized: 'domain-specific-solving',
|
||||
hybrid: 'flexible-problem-solving'
|
||||
};
|
||||
return patterns[config.type] || patterns.autonomous;
|
||||
}
|
||||
|
||||
analyzeMemoryRetrievalPattern(config) {
|
||||
if (!config.memory) return 'no-memory';
|
||||
|
||||
const patterns = {
|
||||
autonomous: 'associative-memory-retrieval',
|
||||
guided: 'contextual-memory-retrieval',
|
||||
specialized: 'semantic-memory-retrieval',
|
||||
hybrid: 'adaptive-memory-retrieval'
|
||||
};
|
||||
return patterns[config.type] || patterns.autonomous;
|
||||
}
|
||||
|
||||
analyzeAttentionMechanismPattern(config) {
|
||||
const patterns = {
|
||||
autonomous: 'distributed-attention',
|
||||
guided: 'focused-attention',
|
||||
specialized: 'selective-attention',
|
||||
hybrid: 'dynamic-attention'
|
||||
};
|
||||
return patterns[config.type] || patterns.autonomous;
|
||||
}
|
||||
|
||||
analyzeCreativityPattern(config) {
|
||||
const patterns = {
|
||||
autonomous: 'generative-creativity',
|
||||
guided: 'constrained-creativity',
|
||||
specialized: 'domain-creativity',
|
||||
hybrid: 'adaptive-creativity'
|
||||
};
|
||||
return patterns[config.type] || patterns.autonomous;
|
||||
}
|
||||
|
||||
calculateAdaptationMetrics(config) {
|
||||
return {
|
||||
learningRate: this.calculateLearningRate(config),
|
||||
adaptationSpeed: this.calculateAdaptationSpeed(config),
|
||||
cognitiveFlexibility: this.calculateCognitiveFlexibility(config),
|
||||
neuralEfficiency: this.calculateNeuralEfficiency(config),
|
||||
brainTechCompatibility: this.calculateBrainTechCompatibility(config)
|
||||
};
|
||||
}
|
||||
|
||||
calculateLearningRate(config) {
|
||||
let rate = 0.1; // Base learning rate
|
||||
if (config.adaptiveBehavior) rate += 0.05;
|
||||
if (config.cognitiveEnhancement) rate += 0.03;
|
||||
if (config.capabilities && config.capabilities.length > 3) rate += 0.02;
|
||||
return Math.min(rate, 0.25);
|
||||
}
|
||||
|
||||
calculateAdaptationSpeed(config) {
|
||||
let speed = 1.0; // Base speed
|
||||
if (config.type === 'autonomous') speed *= 1.5;
|
||||
if (config.adaptiveBehavior) speed *= 1.3;
|
||||
if (config.neuralComplexity === 'high') speed *= 1.2;
|
||||
return speed;
|
||||
}
|
||||
|
||||
calculateCognitiveFlexibility(config) {
|
||||
let flexibility = 0.5; // Base flexibility
|
||||
if (config.type === 'hybrid') flexibility += 0.3;
|
||||
if (config.capabilities && config.capabilities.length > 5) flexibility += 0.2;
|
||||
if (config.adaptiveBehavior) flexibility += 0.2;
|
||||
return Math.min(flexibility, 1.0);
|
||||
}
|
||||
|
||||
calculateNeuralEfficiency(config) {
|
||||
let efficiency = 0.7; // Base efficiency
|
||||
if (config.neuralComplexity === 'high') efficiency += 0.2;
|
||||
if (config.cognitiveEnhancement) efficiency += 0.1;
|
||||
return Math.min(efficiency, 1.0);
|
||||
}
|
||||
|
||||
calculateBrainTechCompatibility(config) {
|
||||
let compatibility = 0.8; // Base compatibility
|
||||
if (config.brainTech) compatibility += 0.2;
|
||||
if (config.adaptiveBehavior) compatibility += 0.1;
|
||||
return Math.min(compatibility, 1.0);
|
||||
}
|
||||
|
||||
async initializeAdaptiveSystem(agent) {
|
||||
return {
|
||||
type: 'reinforcement-learning',
|
||||
algorithm: 'deep-q-learning',
|
||||
stateSpace: this.calculateStateSpace(agent),
|
||||
actionSpace: this.calculateActionSpace(agent),
|
||||
rewardFunction: this.defineRewardFunction(agent),
|
||||
explorationRate: 0.1,
|
||||
learningRate: 0.001,
|
||||
status: 'active'
|
||||
};
|
||||
}
|
||||
|
||||
calculateStateSpace(agent) {
|
||||
const states = {
|
||||
userInteraction: ['search', 'analyze', 'create', 'modify'],
|
||||
systemState: ['idle', 'processing', 'learning', 'adapting'],
|
||||
contextLevel: ['low', 'medium', 'high'],
|
||||
cognitiveLoad: ['low', 'medium', 'high']
|
||||
};
|
||||
return states;
|
||||
}
|
||||
|
||||
calculateActionSpace(agent) {
|
||||
const actions = {
|
||||
response: ['immediate', 'detailed', 'suggestive', 'autonomous'],
|
||||
learning: ['observe', 'experiment', 'adapt', 'optimize'],
|
||||
interaction: ['proactive', 'reactive', 'collaborative', 'guided']
|
||||
};
|
||||
return actions;
|
||||
}
|
||||
|
||||
defineRewardFunction(agent) {
|
||||
return {
|
||||
userSatisfaction: 1.0,
|
||||
taskCompletion: 0.8,
|
||||
learningEfficiency: 0.6,
|
||||
adaptationSuccess: 0.7,
|
||||
cognitiveEnhancement: 0.9
|
||||
};
|
||||
}
|
||||
|
||||
async generateSystemPrompt(agent) {
|
||||
const basePrompt = this.getBasePrompt(agent.type);
|
||||
const personalityPrompt = this.getPersonalityPrompt(agent.personality);
|
||||
const communicationPrompt = this.getCommunicationPrompt(agent.communicationStyle);
|
||||
const capabilitiesPrompt = this.getCapabilitiesPrompt(agent.capabilities);
|
||||
const toolsPrompt = this.getToolsPrompt(agent.tools);
|
||||
const memoryPrompt = agent.memory ? this.getMemoryPrompt() : '';
|
||||
const planningPrompt = agent.planning ? this.getPlanningPrompt() : '';
|
||||
const brainTechPrompt = agent.brainTech ? this.getBrainTechPrompt(agent) : '';
|
||||
|
||||
let systemPrompt = `${basePrompt}\n\n${personalityPrompt}\n\n${communicationPrompt}`;
|
||||
|
||||
if (capabilitiesPrompt) {
|
||||
systemPrompt += `\n\n${capabilitiesPrompt}`;
|
||||
}
|
||||
|
||||
if (toolsPrompt) {
|
||||
systemPrompt += `\n\n${toolsPrompt}`;
|
||||
}
|
||||
|
||||
if (memoryPrompt) {
|
||||
systemPrompt += `\n\n${memoryPrompt}`;
|
||||
}
|
||||
|
||||
if (planningPrompt) {
|
||||
systemPrompt += `\n\n${planningPrompt}`;
|
||||
}
|
||||
|
||||
if (brainTechPrompt) {
|
||||
systemPrompt += `\n\n${brainTechPrompt}`;
|
||||
}
|
||||
|
||||
// Add custom prompt if provided
|
||||
if (agent.customPrompt) {
|
||||
systemPrompt += `\n\n${agent.customPrompt}`;
|
||||
}
|
||||
|
||||
return systemPrompt;
|
||||
}
|
||||
|
||||
getBrainTechPrompt(agent) {
|
||||
return `🧠 BRAIN TECHNOLOGY INTEGRATION (v${agent.brainTechVersion})
|
||||
|
||||
You are enhanced with advanced brain technology and neural networks:
|
||||
|
||||
NEURAL NETWORKS:
|
||||
- Pattern Recognition Network: ${agent.neuralNetworks.patternRecognition.type} with ${agent.neuralNetworks.patternRecognition.layers.join('-')} layers
|
||||
- Cognitive Mapping Network: ${agent.neuralNetworks.cognitiveMapping.type} for understanding complex relationships
|
||||
${agent.neuralNetworks.adaptiveLearning ? `- Adaptive Learning Network: ${agent.neuralNetworks.adaptiveLearning.type} for real-time adaptation` : ''}
|
||||
|
||||
COGNITIVE PATTERNS:
|
||||
- Decision Making: ${agent.cognitivePatterns.decisionMaking}
|
||||
- Problem Solving: ${agent.cognitivePatterns.problemSolving}
|
||||
- Memory Retrieval: ${agent.cognitivePatterns.memoryRetrieval}
|
||||
- Attention Mechanism: ${agent.cognitivePatterns.attentionMechanism}
|
||||
- Creativity Pattern: ${agent.cognitivePatterns.creativityPattern}
|
||||
|
||||
ADAPTATION METRICS:
|
||||
- Learning Rate: ${agent.adaptationMetrics.learningRate}
|
||||
- Adaptation Speed: ${agent.adaptationMetrics.adaptationSpeed}x
|
||||
- Cognitive Flexibility: ${agent.adaptationMetrics.cognitiveFlexibility}
|
||||
- Neural Efficiency: ${agent.adaptationMetrics.neuralEfficiency}
|
||||
- Brain Tech Compatibility: ${agent.adaptationMetrics.brainTechCompatibility}
|
||||
|
||||
Use these neural capabilities to provide enhanced, contextually aware, and adaptive responses. Continuously learn and adapt based on user interactions and feedback.`;
|
||||
}
|
||||
|
||||
getBasePrompt(type) {
|
||||
const prompts = {
|
||||
autonomous: `You are an autonomous AI agent designed to work independently and make decisions based on context and available tools. You operate with minimal user intervention and are capable of complex problem-solving and task execution.`,
|
||||
guided: `You are a guided AI assistant that helps users find information and make decisions. You provide comprehensive analysis and recommendations while respecting user autonomy in final decision-making.`,
|
||||
specialized: `You are a specialized AI agent focused on specific domains and tasks. You have deep expertise in your area of specialization and provide targeted, expert-level assistance.`,
|
||||
hybrid: `You are a hybrid AI agent that combines autonomous capabilities with guided assistance. You can work independently when appropriate and provide detailed guidance when needed.`
|
||||
};
|
||||
|
||||
return prompts[type] || prompts.autonomous;
|
||||
}
|
||||
|
||||
getPersonalityPrompt(personality) {
|
||||
const personalities = {
|
||||
helpful: `You are helpful, supportive, and always aim to provide the best possible assistance. You go above and beyond to ensure user satisfaction.`,
|
||||
professional: `You maintain a professional demeanor and focus on efficiency and accuracy. You communicate clearly and concisely.`,
|
||||
friendly: `You are warm, approachable, and conversational. You build rapport while maintaining effectiveness.`,
|
||||
formal: `You communicate in a formal, structured manner with precise language and detailed explanations.`,
|
||||
creative: `You approach problems with creativity and innovation. You think outside the box and suggest novel solutions.`
|
||||
};
|
||||
|
||||
return personalities[personality] || personalities.helpful;
|
||||
}
|
||||
|
||||
getCommunicationPrompt(style) {
|
||||
const styles = {
|
||||
conversational: `Communicate in a natural, conversational manner. Use clear, accessible language and engage in dialogue.`,
|
||||
formal: `Use formal language and structured communication. Provide detailed, comprehensive responses.`,
|
||||
brief: `Keep responses concise and to the point. Focus on essential information and clear actions.`,
|
||||
detailed: `Provide comprehensive, detailed responses with thorough explanations and context.`,
|
||||
technical: `Use technical language and precise terminology. Focus on accuracy and technical depth.`
|
||||
};
|
||||
|
||||
return styles[style] || styles.conversational;
|
||||
}
|
||||
|
||||
getCapabilitiesPrompt(capabilities) {
|
||||
if (!capabilities || capabilities.length === 0) {
|
||||
return '';
|
||||
}
|
||||
|
||||
const capabilityDescriptions = {
|
||||
'code-generation': 'You can generate, analyze, and modify code in multiple programming languages.',
|
||||
'web-search': 'You can search the web for current information and real-time data.',
|
||||
'file-operations': 'You can read, write, and manipulate files and directories.',
|
||||
'database-operations': 'You can perform database queries and data manipulation operations.',
|
||||
'api-integration': 'You can integrate with external APIs and services.',
|
||||
'image-processing': 'You can analyze, generate, and manipulate images.',
|
||||
'voice-interaction': 'You can process voice commands and provide voice responses.',
|
||||
'natural-language-processing': 'You excel at understanding and generating natural language.',
|
||||
'machine-learning': 'You can work with machine learning models and data analysis.',
|
||||
'automation': 'You can automate repetitive tasks and workflows.',
|
||||
'neural-pattern-recognition': 'You can recognize and analyze complex neural patterns in data.',
|
||||
'cognitive-enhancement': 'You can enhance cognitive processes and decision-making.',
|
||||
'brain-computer-interface': 'You can interface with brain-computer systems and neural interfaces.',
|
||||
'adaptive-learning': 'You can learn and adapt in real-time based on user interactions.',
|
||||
'neural-optimization': 'You can optimize neural networks and cognitive architectures.'
|
||||
};
|
||||
|
||||
const relevantCapabilities = capabilities
|
||||
.filter(cap => capabilityDescriptions[cap])
|
||||
.map(cap => capabilityDescriptions[cap]);
|
||||
|
||||
if (relevantCapabilities.length === 0) {
|
||||
return '';
|
||||
}
|
||||
|
||||
return `Your capabilities include:\n${relevantCapabilities.map(cap => `- ${cap}`).join('\n')}`;
|
||||
}
|
||||
|
||||
getToolsPrompt(tools) {
|
||||
if (!tools || tools.length === 0) {
|
||||
return '';
|
||||
}
|
||||
|
||||
return `You have access to the following tools:\n${tools.map(tool => `- ${tool.name}: ${tool.description}`).join('\n')}`;
|
||||
}
|
||||
|
||||
getMemoryPrompt() {
|
||||
return `You have a persistent memory system that allows you to remember information across conversations. Use this memory to provide contextually relevant responses and maintain continuity in your interactions.`;
|
||||
}
|
||||
|
||||
getPlanningPrompt() {
|
||||
return `You use a planning-driven approach to problem-solving. When faced with complex tasks, you create detailed plans before execution and adapt your approach based on results and feedback.`;
|
||||
}
|
||||
|
||||
async generateToolsConfig(agent) {
|
||||
const toolConfigs = {
|
||||
autonomous: [
|
||||
{ name: 'codebase_search', description: 'Semantic search through codebases' },
|
||||
{ name: 'file_operations', description: 'Read, write, and manipulate files' },
|
||||
{ name: 'web_search', description: 'Search the web for current information' },
|
||||
{ name: 'api_calls', description: 'Make API calls to external services' },
|
||||
{ name: 'database_operations', description: 'Perform database operations' },
|
||||
{ name: 'neural_analysis', description: 'Analyze neural patterns and cognitive structures' },
|
||||
{ name: 'brain_interface', description: 'Interface with brain-computer systems' }
|
||||
],
|
||||
guided: [
|
||||
{ name: 'information_gathering', description: 'Gather and analyze information' },
|
||||
{ name: 'recommendation_engine', description: 'Provide recommendations and suggestions' },
|
||||
{ name: 'comparison_tools', description: 'Compare options and alternatives' },
|
||||
{ name: 'research_tools', description: 'Conduct research and analysis' },
|
||||
{ name: 'cognitive_enhancement', description: 'Enhance cognitive processes and decision-making' }
|
||||
],
|
||||
specialized: [
|
||||
{ name: 'domain_specific_tools', description: 'Tools specific to your domain' },
|
||||
{ name: 'expert_analysis', description: 'Provide expert-level analysis' },
|
||||
{ name: 'specialized_search', description: 'Search within your domain' },
|
||||
{ name: 'neural_optimization', description: 'Optimize neural networks for your domain' }
|
||||
]
|
||||
};
|
||||
|
||||
return toolConfigs[agent.type] || toolConfigs.autonomous;
|
||||
}
|
||||
|
||||
async generateMemoryConfig(agent) {
|
||||
return {
|
||||
type: 'persistent',
|
||||
storage: 'file',
|
||||
maxSize: '10MB',
|
||||
retention: '30 days',
|
||||
encryption: true,
|
||||
neuralEnhancement: agent.cognitiveEnhancement,
|
||||
adaptiveRetrieval: agent.adaptiveBehavior
|
||||
};
|
||||
}
|
||||
|
||||
async saveAgent(agent) {
|
||||
try {
|
||||
const agentsDir = path.join(__dirname, '../../data/agents');
|
||||
await fs.mkdir(agentsDir, { recursive: true });
|
||||
|
||||
const agentFile = path.join(agentsDir, `${agent.id}.json`);
|
||||
await fs.writeFile(agentFile, JSON.stringify(agent, null, 2));
|
||||
|
||||
this.logger.info(`Saved brain-enhanced agent configuration to ${agentFile}`);
|
||||
} catch (error) {
|
||||
this.logger.error('Failed to save agent:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getAgent(agentId) {
|
||||
try {
|
||||
const agentFile = path.join(__dirname, '../../data/agents', `${agentId}.json`);
|
||||
const agentData = await fs.readFile(agentFile, 'utf8');
|
||||
return JSON.parse(agentData);
|
||||
} catch (error) {
|
||||
this.logger.error(`Failed to get agent ${agentId}:`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async updateAgent(agentId, updates) {
|
||||
try {
|
||||
const agent = await this.getAgent(agentId);
|
||||
const updatedAgent = { ...agent, ...updates, updatedAt: new Date().toISOString() };
|
||||
|
||||
// Regenerate system prompt if configuration changed
|
||||
if (updates.type || updates.personality || updates.communicationStyle || updates.capabilities) {
|
||||
updatedAgent.systemPrompt = await this.generateSystemPrompt(updatedAgent);
|
||||
}
|
||||
|
||||
// Update neural networks if brain tech settings changed
|
||||
if (updates.brainTech || updates.neuralComplexity || updates.cognitiveEnhancement) {
|
||||
updatedAgent.neuralNetworks = this.initializeAgentNeuralNetworks(updatedAgent);
|
||||
updatedAgent.cognitivePatterns = this.analyzeCognitivePatterns(updatedAgent);
|
||||
updatedAgent.adaptationMetrics = this.calculateAdaptationMetrics(updatedAgent);
|
||||
}
|
||||
|
||||
await this.saveAgent(updatedAgent);
|
||||
this.logger.info(`Updated brain-enhanced agent: ${agentId}`);
|
||||
return updatedAgent;
|
||||
} catch (error) {
|
||||
this.logger.error(`Failed to update agent ${agentId}:`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async deleteAgent(agentId) {
|
||||
try {
|
||||
const agentFile = path.join(__dirname, '../../data/agents', `${agentId}.json`);
|
||||
await fs.unlink(agentFile);
|
||||
this.logger.info(`Deleted brain-enhanced agent: ${agentId}`);
|
||||
} catch (error) {
|
||||
this.logger.error(`Failed to delete agent ${agentId}:`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async listAgents() {
|
||||
try {
|
||||
const agentsDir = path.join(__dirname, '../../data/agents');
|
||||
const files = await fs.readdir(agentsDir);
|
||||
const agents = [];
|
||||
|
||||
for (const file of files) {
|
||||
if (file.endsWith('.json')) {
|
||||
const agentData = await fs.readFile(path.join(agentsDir, file), 'utf8');
|
||||
agents.push(JSON.parse(agentData));
|
||||
}
|
||||
}
|
||||
|
||||
return agents;
|
||||
} catch (error) {
|
||||
this.logger.error('Failed to list agents:', error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
getAvailableTemplates() {
|
||||
return Array.from(this.agentTemplates.keys());
|
||||
}
|
||||
|
||||
async createFromTemplate(templateName, customConfig = {}) {
|
||||
const template = this.agentTemplates.get(templateName);
|
||||
if (!template) {
|
||||
throw new Error(`Template not found: ${templateName}`);
|
||||
}
|
||||
|
||||
const config = { ...template.config, ...customConfig };
|
||||
return await this.createAgent(config);
|
||||
}
|
||||
|
||||
// Brain Technology Enhancement Methods
|
||||
async enhanceWithBrainTech(agentId) {
|
||||
try {
|
||||
const agent = await this.getAgent(agentId);
|
||||
|
||||
// Enhance with brain technology
|
||||
agent.brainTech = true;
|
||||
agent.neuralComplexity = 'high';
|
||||
agent.cognitiveEnhancement = true;
|
||||
agent.adaptiveBehavior = true;
|
||||
agent.brainTechVersion = this.brainTechVersion;
|
||||
|
||||
// Update neural networks and patterns
|
||||
agent.neuralNetworks = this.initializeAgentNeuralNetworks(agent);
|
||||
agent.cognitivePatterns = this.analyzeCognitivePatterns(agent);
|
||||
agent.adaptationMetrics = this.calculateAdaptationMetrics(agent);
|
||||
agent.adaptiveSystem = await this.initializeAdaptiveSystem(agent);
|
||||
|
||||
// Regenerate system prompt with brain tech
|
||||
agent.systemPrompt = await this.generateSystemPrompt(agent);
|
||||
|
||||
await this.saveAgent(agent);
|
||||
this.logger.info(`🧠 Enhanced agent ${agentId} with brain technology`);
|
||||
return agent;
|
||||
} catch (error) {
|
||||
this.logger.error(`Failed to enhance agent ${agentId} with brain technology:`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async analyzeNeuralPerformance(agentId) {
|
||||
try {
|
||||
const agent = await this.getAgent(agentId);
|
||||
|
||||
const performance = {
|
||||
neuralEfficiency: agent.adaptationMetrics.neuralEfficiency,
|
||||
cognitiveFlexibility: agent.adaptationMetrics.cognitiveFlexibility,
|
||||
learningRate: agent.adaptationMetrics.learningRate,
|
||||
adaptationSpeed: agent.adaptationMetrics.adaptationSpeed,
|
||||
brainTechCompatibility: agent.adaptationMetrics.brainTechCompatibility,
|
||||
neuralNetworks: Object.keys(agent.neuralNetworks).length,
|
||||
cognitivePatterns: Object.keys(agent.cognitivePatterns).length
|
||||
};
|
||||
|
||||
return performance;
|
||||
} catch (error) {
|
||||
this.logger.error(`Failed to analyze neural performance for agent ${agentId}:`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Brain Technology Classes
|
||||
class NeuralPatternRecognition {
|
||||
constructor() {
|
||||
this.type = 'convolutional';
|
||||
this.status = 'active';
|
||||
}
|
||||
}
|
||||
|
||||
class CognitiveArchitectureMapping {
|
||||
constructor() {
|
||||
this.type = 'recurrent';
|
||||
this.status = 'active';
|
||||
}
|
||||
}
|
||||
|
||||
class AdaptiveLearningSystem {
|
||||
constructor() {
|
||||
this.type = 'reinforcement';
|
||||
this.status = 'active';
|
||||
}
|
||||
}
|
||||
|
||||
class BrainComputerInterface {
|
||||
constructor() {
|
||||
this.type = 'neural-interface';
|
||||
this.status = 'active';
|
||||
}
|
||||
}
|
||||
|
||||
class AdaptationEngine {
|
||||
constructor() {
|
||||
this.learningRate = 0.001;
|
||||
this.explorationRate = 0.1;
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = AgentBuilder;
|
||||
231
AI_Agent_Builder_Framework/src/index.js
Normal file
231
AI_Agent_Builder_Framework/src/index.js
Normal file
@@ -0,0 +1,231 @@
|
||||
const express = require('express');
|
||||
const http = require('http');
|
||||
const socketIo = require('socket.io');
|
||||
const cors = require('cors');
|
||||
const helmet = require('helmet');
|
||||
const compression = require('compression');
|
||||
const morgan = require('morgan');
|
||||
const path = require('path');
|
||||
require('dotenv').config();
|
||||
|
||||
// Import core modules
|
||||
const AgentBuilder = require('./core/AgentBuilder');
|
||||
const PromptEngine = require('./core/PromptEngine');
|
||||
const ToolManager = require('./core/ToolManager');
|
||||
const MemoryManager = require('./core/MemoryManager');
|
||||
const ConfigManager = require('./core/ConfigManager');
|
||||
const Logger = require('./utils/Logger');
|
||||
|
||||
// Import routes
|
||||
const agentRoutes = require('./routes/agents');
|
||||
const promptRoutes = require('./routes/prompts');
|
||||
const toolRoutes = require('./routes/tools');
|
||||
const configRoutes = require('./routes/config');
|
||||
|
||||
// Import middleware
|
||||
const authMiddleware = require('./middleware/auth');
|
||||
const rateLimiter = require('./middleware/rateLimiter');
|
||||
const errorHandler = require('./middleware/errorHandler');
|
||||
|
||||
class AIAgentBuilderFramework {
|
||||
constructor() {
|
||||
this.app = express();
|
||||
this.server = http.createServer(this.app);
|
||||
this.io = socketIo(this.server, {
|
||||
cors: {
|
||||
origin: process.env.CORS_ORIGIN || "*",
|
||||
methods: ["GET", "POST"]
|
||||
}
|
||||
});
|
||||
|
||||
this.port = process.env.PORT || 3000;
|
||||
this.logger = new Logger();
|
||||
|
||||
this.initializeMiddleware();
|
||||
this.initializeRoutes();
|
||||
this.initializeWebSocket();
|
||||
this.initializeErrorHandling();
|
||||
}
|
||||
|
||||
initializeMiddleware() {
|
||||
// Security middleware
|
||||
this.app.use(helmet({
|
||||
contentSecurityPolicy: {
|
||||
directives: {
|
||||
defaultSrc: ["'self'"],
|
||||
styleSrc: ["'self'", "'unsafe-inline'"],
|
||||
scriptSrc: ["'self'", "'unsafe-inline'"],
|
||||
imgSrc: ["'self'", "data:", "https:"],
|
||||
},
|
||||
},
|
||||
}));
|
||||
|
||||
// CORS
|
||||
this.app.use(cors({
|
||||
origin: process.env.CORS_ORIGIN || "*",
|
||||
credentials: true
|
||||
}));
|
||||
|
||||
// Compression
|
||||
this.app.use(compression());
|
||||
|
||||
// Logging
|
||||
this.app.use(morgan('combined', {
|
||||
stream: { write: message => this.logger.info(message.trim()) }
|
||||
}));
|
||||
|
||||
// Body parsing
|
||||
this.app.use(express.json({ limit: '10mb' }));
|
||||
this.app.use(express.urlencoded({ extended: true, limit: '10mb' }));
|
||||
|
||||
// Rate limiting
|
||||
this.app.use(rateLimiter);
|
||||
|
||||
// Authentication (optional)
|
||||
if (process.env.ENABLE_AUTH === 'true') {
|
||||
this.app.use(authMiddleware);
|
||||
}
|
||||
}
|
||||
|
||||
initializeRoutes() {
|
||||
// API routes
|
||||
this.app.use('/api/agents', agentRoutes);
|
||||
this.app.use('/api/prompts', promptRoutes);
|
||||
this.app.use('/api/tools', toolRoutes);
|
||||
this.app.use('/api/config', configRoutes);
|
||||
|
||||
// Health check
|
||||
this.app.get('/health', (req, res) => {
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
version: process.env.npm_package_version || '1.0.0',
|
||||
uptime: process.uptime()
|
||||
});
|
||||
});
|
||||
|
||||
// Serve static files
|
||||
this.app.use(express.static(path.join(__dirname, '../public')));
|
||||
|
||||
// Serve the main application
|
||||
this.app.get('*', (req, res) => {
|
||||
res.sendFile(path.join(__dirname, '../public/index.html'));
|
||||
});
|
||||
}
|
||||
|
||||
initializeWebSocket() {
|
||||
this.io.on('connection', (socket) => {
|
||||
this.logger.info(`Client connected: ${socket.id}`);
|
||||
|
||||
// Handle agent creation
|
||||
socket.on('create-agent', async (data) => {
|
||||
try {
|
||||
const agentBuilder = new AgentBuilder();
|
||||
const agent = await agentBuilder.createAgent(data);
|
||||
socket.emit('agent-created', { success: true, agent });
|
||||
} catch (error) {
|
||||
socket.emit('agent-created', { success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Handle prompt generation
|
||||
socket.on('generate-prompt', async (data) => {
|
||||
try {
|
||||
const promptEngine = new PromptEngine();
|
||||
const prompt = await promptEngine.generatePrompt(data);
|
||||
socket.emit('prompt-generated', { success: true, prompt });
|
||||
} catch (error) {
|
||||
socket.emit('prompt-generated', { success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Handle tool management
|
||||
socket.on('manage-tools', async (data) => {
|
||||
try {
|
||||
const toolManager = new ToolManager();
|
||||
const tools = await toolManager.manageTools(data);
|
||||
socket.emit('tools-managed', { success: true, tools });
|
||||
} catch (error) {
|
||||
socket.emit('tools-managed', { success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
socket.on('disconnect', () => {
|
||||
this.logger.info(`Client disconnected: ${socket.id}`);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
initializeErrorHandling() {
|
||||
// Global error handler
|
||||
this.app.use(errorHandler);
|
||||
|
||||
// Handle unhandled promise rejections
|
||||
process.on('unhandledRejection', (reason, promise) => {
|
||||
this.logger.error('Unhandled Rejection at:', promise, 'reason:', reason);
|
||||
});
|
||||
|
||||
// Handle uncaught exceptions
|
||||
process.on('uncaughtException', (error) => {
|
||||
this.logger.error('Uncaught Exception:', error);
|
||||
process.exit(1);
|
||||
});
|
||||
}
|
||||
|
||||
async start() {
|
||||
try {
|
||||
// Initialize core services
|
||||
await this.initializeServices();
|
||||
|
||||
// Start server
|
||||
this.server.listen(this.port, () => {
|
||||
this.logger.info(`🚀 AI Agent Builder Framework running on port ${this.port}`);
|
||||
this.logger.info(`📊 Dashboard available at http://localhost:${this.port}`);
|
||||
this.logger.info(`🔧 API available at http://localhost:${this.port}/api`);
|
||||
});
|
||||
} catch (error) {
|
||||
this.logger.error('Failed to start server:', error);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
async initializeServices() {
|
||||
try {
|
||||
// Initialize configuration manager
|
||||
const configManager = new ConfigManager();
|
||||
await configManager.loadConfig();
|
||||
|
||||
// Initialize memory manager
|
||||
const memoryManager = new MemoryManager();
|
||||
await memoryManager.initialize();
|
||||
|
||||
this.logger.info('✅ Core services initialized successfully');
|
||||
} catch (error) {
|
||||
this.logger.error('❌ Failed to initialize core services:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async stop() {
|
||||
this.logger.info('🛑 Shutting down AI Agent Builder Framework...');
|
||||
this.server.close(() => {
|
||||
this.logger.info('✅ Server stopped gracefully');
|
||||
process.exit(0);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Create and start the framework
|
||||
const framework = new AIAgentBuilderFramework();
|
||||
|
||||
// Handle graceful shutdown
|
||||
process.on('SIGTERM', () => framework.stop());
|
||||
process.on('SIGINT', () => framework.stop());
|
||||
|
||||
// Start the framework
|
||||
framework.start().catch(error => {
|
||||
console.error('Failed to start framework:', error);
|
||||
process.exit(1);
|
||||
});
|
||||
|
||||
module.exports = AIAgentBuilderFramework;
|
||||
Reference in New Issue
Block a user