Working with AI Agents

// Single Agent Configuration
import { MCPAgent } from '@mcpcodex/sdk';

const codeGenerator = new MCPAgent({
  name: 'code-generator',
  model: 'claude-3-opus',
  role: 'Generate production-ready code from requirements',
  capabilities: ['code_generation', 'documentation', 'testing'],
  context: {
    language: 'typescript',
    framework: 'react',
    standards: ['eslint', 'prettier'],
    patterns: ['functional-components', 'hooks']
  },
  temperature: 0.3, // Lower for more consistent code
  maxTokens: 8000
});

// Use the agent
const result = await codeGenerator.execute({
  prompt: "Create a user authentication component with email/password",
  requirements: {
    validation: true,
    errorHandling: true,
    accessibility: 'WCAG 2.1 AA',
    responsive: true
  }
});

console.log(result.code);
console.log(result.explanation);
console.log(result.tests);

// Multi-Agent Orchestration
import { MCPWorkflow } from '@mcpcodex/sdk';

const featureWorkflow = new MCPWorkflow('feature-implementation');

// Define specialized agents
featureWorkflow.addAgent({
  id: 'architect',
  name: 'system-architect',
  model: 'gpt-4',
  role: 'Design system architecture and API contracts',
  tools: ['diagram_generator', 'api_designer', 'database_modeler']
});

featureWorkflow.addAgent({
  id: 'frontend-dev',
  name: 'frontend-developer',
  model: 'claude-3-opus',
  role: 'Implement user interfaces and client-side logic',
  tools: ['component_generator', 'style_system', 'state_manager']
});

featureWorkflow.addAgent({
  id: 'backend-dev',
  name: 'backend-developer',
  model: 'claude-3-opus',
  role: 'Build API endpoints and server-side logic',
  tools: ['api_generator', 'database_query', 'auth_system']
});

featureWorkflow.addAgent({
  id: 'qa-engineer',
  name: 'quality-assurance',
  model: 'gpt-3.5-turbo',
  role: 'Write tests and ensure code quality',
  tools: ['test_generator', 'coverage_analyzer', 'security_scanner']
});

// Define workflow coordination
featureWorkflow.setCoordination({
  type: 'sequential_with_feedback',
  steps: [
    {
      agent: 'architect',
      output: ['api_spec', 'database_schema', 'component_hierarchy']
    },
    {
      agents: ['frontend-dev', 'backend-dev'],
      parallel: true,
      input: 'architect.output',
      output: ['components', 'api_endpoints']
    },
    {
      agent: 'qa-engineer',
      input: ['frontend-dev.output', 'backend-dev.output'],
      output: ['tests', 'coverage_report', 'security_report']
    }
  ],
  reviewCycles: 2,
  qualityThreshold: 0.95
});

// Execute the workflow
const feature = await featureWorkflow.execute({
  requirement: "User profile management system with avatar upload",
  context: {
    techStack: {
      frontend: 'React + TypeScript',
      backend: 'Node.js + Express',
      database: 'PostgreSQL',
      storage: 'AWS S3'
    },
    constraints: {
      responseTime: '<200ms',
      fileSize: '<5MB',
      accessibility: 'WCAG 2.1 AA'
    }
  }
});

// Monitor progress
featureWorkflow.on('agent:start', (data) => {
  console.log(`Agent ${data.agentId} started: ${data.task}`);
});

featureWorkflow.on('agent:thinking', (data) => {
  console.log(`${data.agentId} thinking: ${data.thought}`);
});

featureWorkflow.on('agent:complete', (data) => {
  console.log(`Agent ${data.agentId} completed with ${data.artifacts.length} artifacts`);
});

// Agent Communication Protocol
class AgentMessaging {
  constructor() {
    this.messageQueue = new Map();
    this.agents = new Map();
  }

  // Register an agent
  registerAgent(agent) {
    this.agents.set(agent.id, agent);
    
    // Set up message handlers
    agent.on('message', (msg) => this.handleMessage(agent.id, msg));
    agent.on('request', (req) => this.handleRequest(agent.id, req));
    agent.on('broadcast', (data) => this.handleBroadcast(agent.id, data));
  }

  // Direct agent-to-agent communication
  async sendMessage(fromAgent, toAgent, message) {
    const msg = {
      id: this.generateMessageId(),
      from: fromAgent,
      to: toAgent,
      content: message,
      timestamp: Date.now()
    };

    // Route message
    const recipient = this.agents.get(toAgent);
    if (recipient) {
      const response = await recipient.receiveMessage(msg);
      return response;
    }
    
    throw new Error(`Agent ${toAgent} not found`);
  }

  // Broadcast to all agents
  broadcast(fromAgent, message) {
    this.agents.forEach((agent, id) => {
      if (id !== fromAgent) {
        agent.receiveMessage({
          from: fromAgent,
          content: message,
          type: 'broadcast'
        });
      }
    });
  }

  // Request-response pattern
  async request(fromAgent, toAgent, query) {
    const request = {
      id: this.generateRequestId(),
      from: fromAgent,
      query,
      timestamp: Date.now()
    };

    const recipient = this.agents.get(toAgent);
    if (recipient) {
      const response = await recipient.processRequest(request);
      return {
        request,
        response,
        latency: Date.now() - request.timestamp
      };
    }
  }
}

// Example: Agents collaborating on code review
const messaging = new AgentMessaging();

messaging.registerAgent(codeGeneratorAgent);
messaging.registerAgent(codeReviewerAgent);
messaging.registerAgent(securityAuditorAgent);

// Code generator requests review
const reviewRequest = await messaging.request(
  'code-generator',
  'code-reviewer',
  {
    type: 'review_code',
    code: generatedCode,
    context: 'User authentication module'
  }
);

// Reviewer broadcasts concerns to security auditor
if (reviewRequest.response.securityConcerns) {
  messaging.broadcast('code-reviewer', {
    type: 'security_alert',
    concerns: reviewRequest.response.securityConcerns,
    priority: 'high'
  });
}

// Creating a Custom Specialized Agent
class BlockchainAgent extends MCPAgent {
  constructor(config) {
    super({
      ...config,
      name: 'blockchain-specialist',
      model: 'gpt-4',
      specialization: 'blockchain'
    });

    this.setupBlockchainTools();
  }

  setupBlockchainTools() {
    this.addTool('deploy_contract', async (params) => {
      // Deploy smart contract logic
      const contract = await this.compileContract(params.code);
      const deployed = await this.deployToNetwork(contract, params.network);
      return { address: deployed.address, txHash: deployed.transactionHash };
    });

    this.addTool('audit_contract', async (params) => {
      // Security audit logic
      const vulnerabilities = await this.scanForVulnerabilities(params.code);
      const gasOptimizations = await this.analyzeGasUsage(params.code);
      return { vulnerabilities, gasOptimizations };
    });

    this.addTool('generate_tests', async (params) => {
      // Generate comprehensive tests
      const unitTests = await this.generateUnitTests(params.contract);
      const integrationTests = await this.generateIntegrationTests(params.contract);
      return { unitTests, integrationTests };
    });
  }

  async generateSmartContract(requirements) {
    const prompt = this.buildPrompt(requirements);
    
    const result = await this.execute({
      prompt,
      tools: ['deploy_contract', 'audit_contract', 'generate_tests'],
      context: {
        network: requirements.network || 'ethereum',
        standards: requirements.standards || ['ERC-20', 'ERC-721'],
        security: requirements.security || 'high'
      }
    });

    // Post-process for blockchain specifics
    result.code = this.optimizeForGas(result.code);
    result.audit = await this.tools.audit_contract({ code: result.code });
    
    return result;
  }

  optimizeForGas(code) {
    // Gas optimization logic
    return code.replace(/memory/g, 'calldata')
               .replace(/public/g, 'external');
  }
}

// Use the custom agent
const blockchainAgent = new BlockchainAgent({
  apiKey: process.env.MCP_API_KEY
});

const contract = await blockchainAgent.generateSmartContract({
  type: 'NFT',
  features: ['minting', 'burning', 'royalties'],
  network: 'ethereum',
  security: 'maximum'
});