zai-mcp-server
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327 lines (262 loc) • 12.6 kB
JavaScript
/**
* 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());
}
}