AI Agent System Overview

class Agent {
  constructor(db, credentials) {
    this.db = db;                    // Database connection
    this.credentials = credentials;   // API credentials
    this.logger = new Logger(name);  // Logging system
  }
  
  async initialize() {
    // Setup and initialization logic
  }
  
  async execute() {
    // Core agent functionality
  }
}

// Content Strategy Agent generates strategy
const strategy = await contentStrategyAgent.generateContentStrategy();
await db.saveContentStrategy(strategy);

// Script Writer Agent retrieves strategy
const strategy = await db.getLatestStrategy();
const script = await scriptWriterAgent.generateScript(strategy);

// Next agent in pipeline retrieves script...

// Run independent agents in parallel
const [strategy, trends, competitors] = await Promise.all([
  contentStrategyAgent.generateContentStrategy(),
  contentStrategyAgent.fetchYouTubeTrends(),
  contentStrategyAgent.analyzeCompetitors()
]);

try {
  const result = await agent.execute();
  return result;
} catch (error) {
  logger.error('Agent execution failed:', error);
  // Implement fallback logic or retry
  return await agent.executeWithFallback();
}

// Agent logs provide real-time insights
[ContentStrategy] Initializing Content Strategy Agent...
[ContentStrategy] Identified 50 trending topics
[ContentStrategy] Generated strategy for: AI Technology Trends
[ScriptWriter] Generating script for: AI Technology Trends
[ScriptWriter] Script generated: 8:45 duration