context-x-mcp/src/agents/coordinator/index.js

Multi-agent context enrichment system with auto-topic detection, auto-tool selection, and distributed specialized roles - A Model Context Provider (MCP) server for intelligent context management

/**
 * Context Coordinator Agent
 * Main orchestration agent for Context[X]MCP
 */

export class ContextCoordinator {
  constructor(config, logger) {
    this.config = config;
    this.logger = logger;
    this.agents = new Map();
    this.isInitialized = false;
  }

  async initialize() {
    try {
      this.logger.info('Initializing Context Coordinator...');
      
      // TODO: Initialize all agent modules
      // - Browser Research Agent
      // - Memory Agent  
      // - Tool Orchestrator Agent
      // - Quality Assessment Agent
      
      this.isInitialized = true;
      this.logger.info('Context Coordinator initialized successfully');
    } catch (error) {
      this.logger.error('Failed to initialize Context Coordinator:', error);
      throw error;
    }
  }

  async enrichContext(args) {
    const { query, depth = 'detailed', sources = ['web', 'memory', 'tools'], enableBrowserResearch = true } = args;
    
    this.logger.info(`Enriching context for query: "${query}"`);
    this.logger.debug(`Depth: ${depth}, Sources: ${sources.join(', ')}, Browser: ${enableBrowserResearch}`);

    try {
      // TODO: Implement multi-agent context enrichment
      // 1. Topic detection and classification
      // 2. Agent selection based on query type
      // 3. Parallel execution of selected agents
      // 4. Result aggregation and quality assessment
      // 5. Return enriched context

      return {
        content: [
          {
            type: 'text',
            text: `Context enrichment for "${query}" (${depth} level)\n\nThis is a placeholder response. Multi-agent context enrichment will be implemented in the next development phase.\n\nRequested sources: ${sources.join(', ')}\nBrowser research: ${enableBrowserResearch ? 'enabled' : 'disabled'}`,
          },
        ],
      };
    } catch (error) {
      this.logger.error('Context enrichment failed:', error);
      throw error;
    }
  }

  async detectTopic(args) {
    const { text, confidence = 0.75 } = args;
    
    this.logger.info('Detecting topic for text analysis');
    this.logger.debug(`Text length: ${text.length}, Confidence threshold: ${confidence}`);

    try {
      // TODO: Implement NLP-based topic detection
      // 1. Text preprocessing
      // 2. Feature extraction
      // 3. Classification using ML models
      // 4. Confidence scoring
      
      return {
        content: [
          {
            type: 'text', 
            text: `Topic detection for text analysis\n\nText: "${text.substring(0, 100)}${text.length > 100 ? '...' : ''}"\nConfidence threshold: ${confidence}\n\nThis is a placeholder response. Topic detection will be implemented in the next development phase.`,
          },
        ],
      };
    } catch (error) {
      this.logger.error('Topic detection failed:', error);
      throw error;
    }
  }

  async searchHistory(args) {
    const { query, limit = 10, similarity = 0.8 } = args;
    
    this.logger.info(`Searching context history for: "${query}"`);
    this.logger.debug(`Limit: ${limit}, Similarity threshold: ${similarity}`);

    try {
      // TODO: Implement vector-based context history search
      // 1. Query embedding generation
      // 2. Vector similarity search
      // 3. Result ranking and filtering
      // 4. Context retrieval and formatting

      return {
        content: [
          {
            type: 'text',
            text: `Context history search for "${query}"\n\nLimit: ${limit} results\nSimilarity threshold: ${similarity}\n\nThis is a placeholder response. Context history search will be implemented in the next development phase.`,
          },
        ],
      };
    } catch (error) {
      this.logger.error('History search failed:', error);
      throw error;
    }
  }

  getActiveAgents() {
    return Array.from(this.agents.keys());
  }

  async shutdown() {
    this.logger.info('Shutting down Context Coordinator...');
    
    try {
      // TODO: Gracefully shutdown all agents
      for (const [name, agent] of this.agents) {
        if (agent.shutdown) {
          await agent.shutdown();
          this.logger.debug(`Agent ${name} shutdown completed`);
        }
      }
      
      this.agents.clear();
      this.isInitialized = false;
      this.logger.info('Context Coordinator shutdown completed');
    } catch (error) {
      this.logger.error('Error during coordinator shutdown:', error);
      throw error;
    }
  }
}