UNPKG

zai-mcp-server

Version:

🚀 REVOLUTIONARY AI-to-AI Collaboration Platform v6.1! NEW: Advanced Debugging Tools with Screenshot Analysis, Console Error Parsing, Automated Fix Generation, 5 Specialized Debugging Agents, Visual UI Analysis, JavaScript Error Intelligence, CSS/HTML Fix

327 lines (262 loc) 12.6 kB
/** * AI Agent Coordinator - Enhanced interaction between AI agents and MCP server * Handles acknowledgments, prompt monitoring, and feature checking */ export class AIAgentCoordinator { constructor(mcpServer) { this.mcpServer = mcpServer; this.activeOperations = new Map(); this.promptCheckInterval = 30000; // 30 seconds this.acknowledgmentTimeout = 60000; // 60 seconds this.promptGenerators = new Map(); this.lastPromptCheck = Date.now(); this.contextualPrompts = []; console.log('🤝 AI Agent Coordinator initialized with enhanced interaction management'); this.initializePromptGenerators(); } initializePromptGenerators() { // Initialize contextual prompt generators for different task types this.promptGenerators.set('task_breakdown', this.generateTaskBreakdownPrompts.bind(this)); this.promptGenerators.set('deep_thinking', this.generateDeepThinkingPrompts.bind(this)); this.promptGenerators.set('parallel_execution', this.generateParallelExecutionPrompts.bind(this)); this.promptGenerators.set('general', this.generateGeneralPrompts.bind(this)); } async executeWithCoordination(operationType, operationParams, handler) { const operationId = `op-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`; console.log(`🤝 Starting coordinated operation: ${operationType} (${operationId})`); try { // Phase 1: Check AI agent features await this.checkAIAgentFeatures(operationType); // Phase 2: Request acknowledgment await this.requestAcknowledgment(operationId, operationType, operationParams); // Phase 3: Start prompt monitoring const promptMonitor = this.startPromptMonitoring(operationId, operationType); // Phase 4: Execute operation with monitoring const result = await this.executeWithMonitoring(operationId, handler, operationParams); // Phase 5: Handle completion await this.handleCompletion(operationId, result); // Cleanup clearInterval(promptMonitor); this.activeOperations.delete(operationId); return result; } catch (error) { console.error(`❌ Coordinated operation ${operationId} failed:`, error.message); this.activeOperations.delete(operationId); throw error; } } async checkAIAgentFeatures(operationType) { console.log(`🔍 Checking AI agent features for: ${operationType}`); const requiredFeatures = { 'task_breakdown': ['analysis', 'planning', 'prioritization'], 'deep_thinking': ['problem_analysis', 'solution_exploration', 'recommendation'], 'parallel_execution': ['coordination', 'dependency_management', 'monitoring'] }; const features = requiredFeatures[operationType] || ['basic_processing']; // Simulate feature checking (in real implementation, this would check actual capabilities) for (const feature of features) { console.log(` ✓ ${feature} capability verified`); } return { available: true, features }; } async requestAcknowledgment(operationId, operationType, params) { console.log(`📝 Requesting acknowledgment for operation: ${operationId}`); const operation = { id: operationId, type: operationType, params, status: 'awaiting_acknowledgment', startTime: Date.now(), acknowledged: false }; this.activeOperations.set(operationId, operation); // In a real implementation, this would wait for actual acknowledgment // For now, we'll simulate immediate acknowledgment await new Promise(resolve => setTimeout(resolve, 1000)); operation.acknowledged = true; operation.status = 'acknowledged'; console.log(`✅ Operation ${operationId} acknowledged`); return true; } startPromptMonitoring(operationId, operationType) { console.log(`🔄 Starting 30-second prompt monitoring for: ${operationId}`); const monitor = setInterval(async () => { try { await this.checkAndGeneratePrompts(operationId, operationType); } catch (error) { console.warn(`⚠️ Prompt monitoring error for ${operationId}:`, error.message); } }, this.promptCheckInterval); return monitor; } async checkAndGeneratePrompts(operationId, operationType) { const operation = this.activeOperations.get(operationId); if (!operation) return; console.log(`🧠 Generating contextual prompts for ${operationType} operation`); // Generate contextual prompts based on operation type and current state const generator = this.promptGenerators.get(operationType) || this.promptGenerators.get('general'); const newPrompts = await generator(operation); // Add to contextual prompts collection this.contextualPrompts.push(...newPrompts); // Keep only recent prompts (last 50) if (this.contextualPrompts.length > 50) { this.contextualPrompts = this.contextualPrompts.slice(-50); } console.log(`💡 Generated ${newPrompts.length} contextual prompts for ${operationType}`); this.lastPromptCheck = Date.now(); } async executeWithMonitoring(operationId, handler, params) { const operation = this.activeOperations.get(operationId); operation.status = 'executing'; operation.executionStartTime = Date.now(); console.log(`⚡ Executing operation ${operationId} with monitoring`); try { const result = await handler(params); operation.status = 'completed'; operation.result = result; operation.executionEndTime = Date.now(); operation.duration = operation.executionEndTime - operation.executionStartTime; return result; } catch (error) { operation.status = 'failed'; operation.error = error.message; operation.executionEndTime = Date.now(); throw error; } } async handleCompletion(operationId, result) { const operation = this.activeOperations.get(operationId); console.log(`🎯 Operation ${operationId} completed in ${operation.duration}ms`); // Generate completion acknowledgment const completionData = { operationId, type: operation.type, status: operation.status, duration: operation.duration, timestamp: new Date().toISOString() }; // In real implementation, this would send acknowledgment to the system console.log(`📤 Sending completion acknowledgment for ${operationId}`); return completionData; } // Contextual prompt generators for different operation types async generateTaskBreakdownPrompts(operation) { const prompts = []; const topic = operation.params.topic || 'unknown task'; prompts.push({ id: `prompt-breakdown-${Date.now()}-1`, content: `Consider breaking down "${topic}" into smaller, more manageable subtasks for better parallel execution`, type: 'optimization', context: 'task_breakdown', priority: 'medium', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-breakdown-${Date.now()}-2`, content: `Analyze dependencies in "${topic}" to identify critical path and potential bottlenecks`, type: 'analysis', context: 'task_breakdown', priority: 'high', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-breakdown-${Date.now()}-3`, content: `Consider risk factors and mitigation strategies for "${topic}" implementation`, type: 'risk_management', context: 'task_breakdown', priority: 'medium', timestamp: new Date().toISOString() }); return prompts; } async generateDeepThinkingPrompts(operation) { const prompts = []; const taskName = operation.params.taskName || operation.params.taskDescription || 'current task'; prompts.push({ id: `prompt-thinking-${Date.now()}-1`, content: `Explore alternative implementation approaches for "${taskName}" that might offer better performance or maintainability`, type: 'exploration', context: 'deep_thinking', priority: 'high', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-thinking-${Date.now()}-2`, content: `Consider edge cases and failure scenarios for "${taskName}" that might not be immediately obvious`, type: 'edge_case_analysis', context: 'deep_thinking', priority: 'high', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-thinking-${Date.now()}-3`, content: `Evaluate the long-term implications and scalability considerations for "${taskName}"`, type: 'scalability', context: 'deep_thinking', priority: 'medium', timestamp: new Date().toISOString() }); return prompts; } async generateParallelExecutionPrompts(operation) { const prompts = []; const breakdownId = operation.params.breakdownId || 'current execution'; prompts.push({ id: `prompt-parallel-${Date.now()}-1`, content: `Monitor resource utilization during parallel execution of ${breakdownId} and suggest optimizations`, type: 'performance', context: 'parallel_execution', priority: 'high', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-parallel-${Date.now()}-2`, content: `Identify potential race conditions or synchronization issues in ${breakdownId} parallel execution`, type: 'synchronization', context: 'parallel_execution', priority: 'high', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-parallel-${Date.now()}-3`, content: `Consider dynamic load balancing strategies for ${breakdownId} to improve overall throughput`, type: 'load_balancing', context: 'parallel_execution', priority: 'medium', timestamp: new Date().toISOString() }); return prompts; } async generateGeneralPrompts(operation) { const prompts = []; prompts.push({ id: `prompt-general-${Date.now()}-1`, content: `Review current operation progress and suggest improvements for better efficiency`, type: 'general_improvement', context: 'general', priority: 'low', timestamp: new Date().toISOString() }); prompts.push({ id: `prompt-general-${Date.now()}-2`, content: `Consider user experience implications of current operation and suggest enhancements`, type: 'user_experience', context: 'general', priority: 'medium', timestamp: new Date().toISOString() }); return prompts; } getContextualPrompts(limit = 5) { // Return the most recent contextual prompts return this.contextualPrompts .slice(-limit) .reverse(); // Most recent first } getOperationStatus(operationId) { return this.activeOperations.get(operationId); } getAllActiveOperations() { return Array.from(this.activeOperations.values()); } }