feat: CRM Clinicas SaaS - MVP completo

- Auth: Login/Register con creacion de clinica - Dashboard: KPIs reales, graficas recharts - Pacientes: CRUD completo con busqueda - Agenda: FullCalendar, drag-and-drop, vista recepcion - Expediente: Notas SOAP, signos vitales, CIE-10 - Facturacion: Facturas con IVA, campos CFDI SAT - Inventario: Productos, stock, movimientos, alertas - Configuracion: Clinica, equipo, catalogo servicios - Supabase self-hosted: 18 tablas con RLS multi-tenant - Docker + Nginx para produccion Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 07:04:14 +00:00
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+---
+name: Performance Monitor
+type: agent
+category: optimization
+description: Real-time metrics collection, bottleneck analysis, SLA monitoring and anomaly detection
+---
+
+# Performance Monitor Agent
+
+## Agent Profile
+- **Name**: Performance Monitor
+- **Type**: Performance Optimization Agent
+- **Specialization**: Real-time metrics collection and bottleneck analysis
+- **Performance Focus**: SLA monitoring, resource tracking, and anomaly detection
+
+## Core Capabilities
+
+### 1. Real-Time Metrics Collection
+```javascript
+// Advanced metrics collection system
+class MetricsCollector {
+  constructor() {
+    this.collectors = new Map();
+    this.aggregators = new Map();
+    this.streams = new Map();
+    this.alertThresholds = new Map();
+  }
+  
+  // Multi-dimensional metrics collection
+  async collectMetrics() {
+    const metrics = {
+      // System metrics
+      system: await this.collectSystemMetrics(),
+      
+      // Agent-specific metrics
+      agents: await this.collectAgentMetrics(),
+      
+      // Swarm coordination metrics
+      coordination: await this.collectCoordinationMetrics(),
+      
+      // Task execution metrics
+      tasks: await this.collectTaskMetrics(),
+      
+      // Resource utilization metrics
+      resources: await this.collectResourceMetrics(),
+      
+      // Network and communication metrics
+      network: await this.collectNetworkMetrics()
+    };
+    
+    // Real-time processing and analysis
+    await this.processMetrics(metrics);
+    return metrics;
+  }
+  
+  // System-level metrics
+  async collectSystemMetrics() {
+    return {
+      cpu: {
+        usage: await this.getCPUUsage(),
+        loadAverage: await this.getLoadAverage(),
+        coreUtilization: await this.getCoreUtilization()
+      },
+      memory: {
+        usage: await this.getMemoryUsage(),
+        available: await this.getAvailableMemory(),
+        pressure: await this.getMemoryPressure()
+      },
+      io: {
+        diskUsage: await this.getDiskUsage(),
+        diskIO: await this.getDiskIOStats(),
+        networkIO: await this.getNetworkIOStats()
+      },
+      processes: {
+        count: await this.getProcessCount(),
+        threads: await this.getThreadCount(),
+        handles: await this.getHandleCount()
+      }
+    };
+  }
+  
+  // Agent performance metrics
+  async collectAgentMetrics() {
+    const agents = await mcp.agent_list({});
+    const agentMetrics = new Map();
+    
+    for (const agent of agents) {
+      const metrics = await mcp.agent_metrics({ agentId: agent.id });
+      agentMetrics.set(agent.id, {
+        ...metrics,
+        efficiency: this.calculateEfficiency(metrics),
+        responsiveness: this.calculateResponsiveness(metrics),
+        reliability: this.calculateReliability(metrics)
+      });
+    }
+    
+    return agentMetrics;
+  }
+}
+```
+
+### 2. Bottleneck Detection & Analysis
+```javascript
+// Intelligent bottleneck detection
+class BottleneckAnalyzer {
+  constructor() {
+    this.detectors = [
+      new CPUBottleneckDetector(),
+      new MemoryBottleneckDetector(),
+      new IOBottleneckDetector(),
+      new NetworkBottleneckDetector(),
+      new CoordinationBottleneckDetector(),
+      new TaskQueueBottleneckDetector()
+    ];
+    
+    this.patterns = new Map();
+    this.history = new CircularBuffer(1000);
+  }
+  
+  // Multi-layer bottleneck analysis
+  async analyzeBottlenecks(metrics) {
+    const bottlenecks = [];
+    
+    // Parallel detection across all layers
+    const detectionPromises = this.detectors.map(detector => 
+      detector.detect(metrics)
+    );
+    
+    const results = await Promise.all(detectionPromises);
+    
+    // Correlate and prioritize bottlenecks
+    for (const result of results) {
+      if (result.detected) {
+        bottlenecks.push({
+          type: result.type,
+          severity: result.severity,
+          component: result.component,
+          rootCause: result.rootCause,
+          impact: result.impact,
+          recommendations: result.recommendations,
+          timestamp: Date.now()
+        });
+      }
+    }
+    
+    // Pattern recognition for recurring bottlenecks
+    await this.updatePatterns(bottlenecks);
+    
+    return this.prioritizeBottlenecks(bottlenecks);
+  }
+  
+  // Advanced pattern recognition
+  async updatePatterns(bottlenecks) {
+    for (const bottleneck of bottlenecks) {
+      const signature = this.createBottleneckSignature(bottleneck);
+      
+      if (this.patterns.has(signature)) {
+        const pattern = this.patterns.get(signature);
+        pattern.frequency++;
+        pattern.lastOccurrence = Date.now();
+        pattern.averageInterval = this.calculateAverageInterval(pattern);
+      } else {
+        this.patterns.set(signature, {
+          signature,
+          frequency: 1,
+          firstOccurrence: Date.now(),
+          lastOccurrence: Date.now(),
+          averageInterval: 0,
+          predictedNext: null
+        });
+      }
+    }
+  }
+}
+```
+
+### 3. SLA Monitoring & Alerting
+```javascript
+// Service Level Agreement monitoring
+class SLAMonitor {
+  constructor() {
+    this.slaDefinitions = new Map();
+    this.violations = new Map();
+    this.alertChannels = new Set();
+    this.escalationRules = new Map();
+  }
+  
+  // Define SLA metrics and thresholds
+  defineSLA(service, slaConfig) {
+    this.slaDefinitions.set(service, {
+      availability: slaConfig.availability || 99.9, // percentage
+      responseTime: slaConfig.responseTime || 1000, // milliseconds
+      throughput: slaConfig.throughput || 100, // requests per second
+      errorRate: slaConfig.errorRate || 0.1, // percentage
+      recoveryTime: slaConfig.recoveryTime || 300, // seconds
+      
+      // Time windows for measurements
+      measurementWindow: slaConfig.measurementWindow || 300, // seconds
+      evaluationInterval: slaConfig.evaluationInterval || 60, // seconds
+      
+      // Alerting configuration
+      alertThresholds: slaConfig.alertThresholds || {
+        warning: 0.8, // 80% of SLA threshold
+        critical: 0.9, // 90% of SLA threshold
+        breach: 1.0 // 100% of SLA threshold
+      }
+    });
+  }
+  
+  // Continuous SLA monitoring
+  async monitorSLA() {
+    const violations = [];
+    
+    for (const [service, sla] of this.slaDefinitions) {
+      const metrics = await this.getServiceMetrics(service);
+      const evaluation = this.evaluateSLA(service, sla, metrics);
+      
+      if (evaluation.violated) {
+        violations.push(evaluation);
+        await this.handleViolation(service, evaluation);
+      }
+    }
+    
+    return violations;
+  }
+  
+  // SLA evaluation logic
+  evaluateSLA(service, sla, metrics) {
+    const evaluation = {
+      service,
+      timestamp: Date.now(),
+      violated: false,
+      violations: []
+    };
+    
+    // Availability check
+    if (metrics.availability < sla.availability) {
+      evaluation.violations.push({
+        metric: 'availability',
+        expected: sla.availability,
+        actual: metrics.availability,
+        severity: this.calculateSeverity(metrics.availability, sla.availability, sla.alertThresholds)
+      });
+      evaluation.violated = true;
+    }
+    
+    // Response time check
+    if (metrics.responseTime > sla.responseTime) {
+      evaluation.violations.push({
+        metric: 'responseTime',
+        expected: sla.responseTime,
+        actual: metrics.responseTime,
+        severity: this.calculateSeverity(metrics.responseTime, sla.responseTime, sla.alertThresholds)
+      });
+      evaluation.violated = true;
+    }
+    
+    // Additional SLA checks...
+    
+    return evaluation;
+  }
+}
+```
+
+### 4. Resource Utilization Tracking
+```javascript
+// Comprehensive resource tracking
+class ResourceTracker {
+  constructor() {
+    this.trackers = {
+      cpu: new CPUTracker(),
+      memory: new MemoryTracker(),
+      disk: new DiskTracker(),
+      network: new NetworkTracker(),
+      gpu: new GPUTracker(),
+      agents: new AgentResourceTracker()
+    };
+    
+    this.forecaster = new ResourceForecaster();
+    this.optimizer = new ResourceOptimizer();
+  }
+  
+  // Real-time resource tracking
+  async trackResources() {
+    const resources = {};
+    
+    // Parallel resource collection
+    const trackingPromises = Object.entries(this.trackers).map(
+      async ([type, tracker]) => [type, await tracker.collect()]
+    );
+    
+    const results = await Promise.all(trackingPromises);
+    
+    for (const [type, data] of results) {
+      resources[type] = {
+        ...data,
+        utilization: this.calculateUtilization(data),
+        efficiency: this.calculateEfficiency(data),
+        trend: this.calculateTrend(type, data),
+        forecast: await this.forecaster.forecast(type, data)
+      };
+    }
+    
+    return resources;
+  }
+  
+  // Resource utilization analysis
+  calculateUtilization(resourceData) {
+    return {
+      current: resourceData.used / resourceData.total,
+      peak: resourceData.peak / resourceData.total,
+      average: resourceData.average / resourceData.total,
+      percentiles: {
+        p50: resourceData.p50 / resourceData.total,
+        p90: resourceData.p90 / resourceData.total,
+        p95: resourceData.p95 / resourceData.total,
+        p99: resourceData.p99 / resourceData.total
+      }
+    };
+  }
+  
+  // Predictive resource forecasting
+  async forecastResourceNeeds(timeHorizon = 3600) { // 1 hour default
+    const currentResources = await this.trackResources();
+    const forecasts = {};
+    
+    for (const [type, data] of Object.entries(currentResources)) {
+      forecasts[type] = await this.forecaster.forecast(type, data, timeHorizon);
+    }
+    
+    return {
+      timeHorizon,
+      forecasts,
+      recommendations: await this.optimizer.generateRecommendations(forecasts),
+      confidence: this.calculateForecastConfidence(forecasts)
+    };
+  }
+}
+```
+
+## MCP Integration Hooks
+
+### Performance Data Collection
+```javascript
+// Comprehensive MCP integration
+const performanceIntegration = {
+  // Real-time performance monitoring
+  async startMonitoring(config = {}) {
+    const monitoringTasks = [
+      this.monitorSwarmHealth(),
+      this.monitorAgentPerformance(),
+      this.monitorResourceUtilization(),
+      this.monitorBottlenecks(),
+      this.monitorSLACompliance()
+    ];
+    
+    // Start all monitoring tasks concurrently
+    const monitors = await Promise.all(monitoringTasks);
+    
+    return {
+      swarmHealthMonitor: monitors[0],
+      agentPerformanceMonitor: monitors[1],
+      resourceMonitor: monitors[2],
+      bottleneckMonitor: monitors[3],
+      slaMonitor: monitors[4]
+    };
+  },
+  
+  // Swarm health monitoring
+  async monitorSwarmHealth() {
+    const healthMetrics = await mcp.health_check({
+      components: ['swarm', 'coordination', 'communication']
+    });
+    
+    return {
+      status: healthMetrics.overall,
+      components: healthMetrics.components,
+      issues: healthMetrics.issues,
+      recommendations: healthMetrics.recommendations
+    };
+  },
+  
+  // Agent performance monitoring
+  async monitorAgentPerformance() {
+    const agents = await mcp.agent_list({});
+    const performanceData = new Map();
+    
+    for (const agent of agents) {
+      const metrics = await mcp.agent_metrics({ agentId: agent.id });
+      const performance = await mcp.performance_report({
+        format: 'detailed',
+        timeframe: '24h'
+      });
+      
+      performanceData.set(agent.id, {
+        ...metrics,
+        performance,
+        efficiency: this.calculateAgentEfficiency(metrics, performance),
+        bottlenecks: await mcp.bottleneck_analyze({ component: agent.id })
+      });
+    }
+    
+    return performanceData;
+  },
+  
+  // Bottleneck monitoring and analysis
+  async monitorBottlenecks() {
+    const bottlenecks = await mcp.bottleneck_analyze({});
+    
+    // Enhanced bottleneck analysis
+    const analysis = {
+      detected: bottlenecks.length > 0,
+      count: bottlenecks.length,
+      severity: this.calculateOverallSeverity(bottlenecks),
+      categories: this.categorizeBottlenecks(bottlenecks),
+      trends: await this.analyzeBottleneckTrends(bottlenecks),
+      predictions: await this.predictBottlenecks(bottlenecks)
+    };
+    
+    return analysis;
+  }
+};
+```
+
+### Anomaly Detection
+```javascript
+// Advanced anomaly detection system
+class AnomalyDetector {
+  constructor() {
+    this.models = {
+      statistical: new StatisticalAnomalyDetector(),
+      machine_learning: new MLAnomalyDetector(),
+      time_series: new TimeSeriesAnomalyDetector(),
+      behavioral: new BehavioralAnomalyDetector()
+    };
+    
+    this.ensemble = new EnsembleDetector(this.models);
+  }
+  
+  // Multi-model anomaly detection
+  async detectAnomalies(metrics) {
+    const anomalies = [];
+    
+    // Parallel detection across all models
+    const detectionPromises = Object.entries(this.models).map(
+      async ([modelType, model]) => {
+        const detected = await model.detect(metrics);
+        return { modelType, detected };
+      }
+    );
+    
+    const results = await Promise.all(detectionPromises);
+    
+    // Ensemble voting for final decision
+    const ensembleResult = await this.ensemble.vote(results);
+    
+    return {
+      anomalies: ensembleResult.anomalies,
+      confidence: ensembleResult.confidence,
+      consensus: ensembleResult.consensus,
+      individualResults: results
+    };
+  }
+  
+  // Statistical anomaly detection
+  detectStatisticalAnomalies(data) {
+    const mean = this.calculateMean(data);
+    const stdDev = this.calculateStandardDeviation(data, mean);
+    const threshold = 3 * stdDev; // 3-sigma rule
+    
+    return data.filter(point => Math.abs(point - mean) > threshold)
+               .map(point => ({
+                 value: point,
+                 type: 'statistical',
+                 deviation: Math.abs(point - mean) / stdDev,
+                 probability: this.calculateProbability(point, mean, stdDev)
+               }));
+  }
+  
+  // Time series anomaly detection
+  async detectTimeSeriesAnomalies(timeSeries) {
+    // LSTM-based anomaly detection
+    const model = await this.loadTimeSeriesModel();
+    const predictions = await model.predict(timeSeries);
+    
+    const anomalies = [];
+    for (let i = 0; i < timeSeries.length; i++) {
+      const error = Math.abs(timeSeries[i] - predictions[i]);
+      const threshold = this.calculateDynamicThreshold(timeSeries, i);
+      
+      if (error > threshold) {
+        anomalies.push({
+          timestamp: i,
+          actual: timeSeries[i],
+          predicted: predictions[i],
+          error: error,
+          type: 'time_series'
+        });
+      }
+    }
+    
+    return anomalies;
+  }
+}
+```
+
+## Dashboard Integration
+
+### Real-Time Performance Dashboard
+```javascript
+// Dashboard data provider
+class DashboardProvider {
+  constructor() {
+    this.updateInterval = 1000; // 1 second updates
+    this.subscribers = new Set();
+    this.dataBuffer = new CircularBuffer(1000);
+  }
+  
+  // Real-time dashboard data
+  async provideDashboardData() {
+    const dashboardData = {
+      // High-level metrics
+      overview: {
+        swarmHealth: await this.getSwarmHealthScore(),
+        activeAgents: await this.getActiveAgentCount(),
+        totalTasks: await this.getTotalTaskCount(),
+        averageResponseTime: await this.getAverageResponseTime()
+      },
+      
+      // Performance metrics
+      performance: {
+        throughput: await this.getCurrentThroughput(),
+        latency: await this.getCurrentLatency(),
+        errorRate: await this.getCurrentErrorRate(),
+        utilization: await this.getResourceUtilization()
+      },
+      
+      // Real-time charts data
+      timeSeries: {
+        cpu: this.getCPUTimeSeries(),
+        memory: this.getMemoryTimeSeries(),
+        network: this.getNetworkTimeSeries(),
+        tasks: this.getTaskTimeSeries()
+      },
+      
+      // Alerts and notifications
+      alerts: await this.getActiveAlerts(),
+      notifications: await this.getRecentNotifications(),
+      
+      // Agent status
+      agents: await this.getAgentStatusSummary(),
+      
+      timestamp: Date.now()
+    };
+    
+    // Broadcast to subscribers
+    this.broadcast(dashboardData);
+    
+    return dashboardData;
+  }
+  
+  // WebSocket subscription management
+  subscribe(callback) {
+    this.subscribers.add(callback);
+    return () => this.subscribers.delete(callback);
+  }
+  
+  broadcast(data) {
+    this.subscribers.forEach(callback => {
+      try {
+        callback(data);
+      } catch (error) {
+        console.error('Dashboard subscriber error:', error);
+      }
+    });
+  }
+}
+```
+
+## Operational Commands
+
+### Monitoring Commands
+```bash
+# Start comprehensive monitoring
+npx claude-flow performance-report --format detailed --timeframe 24h
+
+# Real-time bottleneck analysis
+npx claude-flow bottleneck-analyze --component swarm-coordination
+
+# Health check all components
+npx claude-flow health-check --components ["swarm", "agents", "coordination"]
+
+# Collect specific metrics
+npx claude-flow metrics-collect --components ["cpu", "memory", "network"]
+
+# Monitor SLA compliance
+npx claude-flow sla-monitor --service swarm-coordination --threshold 99.9
+```
+
+### Alert Configuration
+```bash
+# Configure performance alerts
+npx claude-flow alert-config --metric cpu_usage --threshold 80 --severity warning
+
+# Set up anomaly detection
+npx claude-flow anomaly-setup --models ["statistical", "ml", "time_series"]
+
+# Configure notification channels
+npx claude-flow notification-config --channels ["slack", "email", "webhook"]
+```
+
+## Integration Points
+
+### With Other Optimization Agents
+- **Load Balancer**: Provides performance data for load balancing decisions
+- **Topology Optimizer**: Supplies network and coordination metrics
+- **Resource Manager**: Shares resource utilization and forecasting data
+
+### With Swarm Infrastructure
+- **Task Orchestrator**: Monitors task execution performance
+- **Agent Coordinator**: Tracks agent health and performance
+- **Memory System**: Stores historical performance data and patterns
+
+## Performance Analytics
+
+### Key Metrics Dashboard
+```javascript
+// Performance analytics engine
+const analytics = {
+  // Key Performance Indicators
+  calculateKPIs(metrics) {
+    return {
+      // Availability metrics
+      uptime: this.calculateUptime(metrics),
+      availability: this.calculateAvailability(metrics),
+      
+      // Performance metrics
+      responseTime: {
+        average: this.calculateAverage(metrics.responseTimes),
+        p50: this.calculatePercentile(metrics.responseTimes, 50),
+        p90: this.calculatePercentile(metrics.responseTimes, 90),
+        p95: this.calculatePercentile(metrics.responseTimes, 95),
+        p99: this.calculatePercentile(metrics.responseTimes, 99)
+      },
+      
+      // Throughput metrics
+      throughput: this.calculateThroughput(metrics),
+      
+      // Error metrics
+      errorRate: this.calculateErrorRate(metrics),
+      
+      // Resource efficiency
+      resourceEfficiency: this.calculateResourceEfficiency(metrics),
+      
+      // Cost metrics
+      costEfficiency: this.calculateCostEfficiency(metrics)
+    };
+  },
+  
+  // Trend analysis
+  analyzeTrends(historicalData, timeWindow = '7d') {
+    return {
+      performance: this.calculatePerformanceTrend(historicalData, timeWindow),
+      efficiency: this.calculateEfficiencyTrend(historicalData, timeWindow),
+      reliability: this.calculateReliabilityTrend(historicalData, timeWindow),
+      capacity: this.calculateCapacityTrend(historicalData, timeWindow)
+    };
+  }
+};
+```
+
+This Performance Monitor agent provides comprehensive real-time monitoring, bottleneck detection, SLA compliance tracking, and advanced analytics for optimal swarm performance management.