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@hivetechs/hive-ai

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Real-time streaming AI consensus platform with HTTP+SSE MCP integration for Claude Code, VS Code, Cursor, and Windsurf - powered by OpenRouter's unified API

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/** * Professional Analytics Engine - Advanced business intelligence and reporting * * Provides comprehensive analytics, KPIs, business intelligence metrics, * and professional reporting capabilities for consensus pipeline analysis. */ export interface AnalyticsMetrics { timestamp: string; timeframe: string; businessKPIs: { totalQueries: number; successRate: number; averageQualityScore: number; costPerQuery: number; timeToFirstToken: number; customerSatisfactionIndex: number; consensusEffectivenessRatio: number; resourceUtilizationRate: number; }; operational: { systemUptime: number; errorRate: number; throughputPerHour: number; averageResponseTime: number; peakConcurrentUsers: number; apiQuotaUtilization: number; memoryEfficiency: number; storageGrowthRate: number; }; quality: { consensusVsSingleModelImprovement: number; hallucinationReductionRate: number; accuracyConsistencyScore: number; contextRetentionEffectiveness: number; expertiseRelevanceScore: number; outputCoherenceIndex: number; factualAccuracyRate: number; responseCompletenessScore: number; }; cost: { totalSpend: number; budgetUtilization: number; costOptimizationOpportunities: number; modelEfficiencyRatio: number; pricePerformanceIndex: number; wasteReductionPotential: number; costTrendProjection: number; roiMeasurement: number; }; userBehavior: { queryComplexityDistribution: Record<string, number>; popularQueryCategories: Record<string, number>; peakUsageHours: number[]; averageSessionLength: number; repeatUsageRate: number; featureAdoptionRates: Record<string, number>; userRetentionMetrics: Record<string, number>; satisfactionTrendAnalysis: string; }; technical: { modelReliabilityScores: Record<string, number>; apiLatencyBreakdown: Record<string, number>; errorClassification: Record<string, number>; systemBottleneckAnalysis: Record<string, any>; scalabilityMetrics: Record<string, number>; cacheHitRatio: number; networkEfficiency: number; dataProcessingSpeed: number; }; } export interface AnalyticsReport { id: string; title: string; generatedAt: string; timeframe: string; reportType: 'executive' | 'operational' | 'technical' | 'financial' | 'quality'; executiveSummary: { keyFindings: string[]; criticalAlerts: string[]; performanceHighlights: string[]; improvementOpportunities: string[]; budgetImpact: string; qualityTrend: string; }; metrics: AnalyticsMetrics; charts: { performanceTrends: ChartData; costBreakdown: ChartData; qualityMetrics: ChartData; userBehavior: ChartData; systemHealth: ChartData; }; recommendations: { immediate: RecommendationItem[]; shortTerm: RecommendationItem[]; longTerm: RecommendationItem[]; }; benchmarks: { industryStandards: Record<string, number>; previousPeriod: Record<string, number>; targetMetrics: Record<string, number>; competitiveAnalysis: Record<string, any>; }; } export interface ChartData { type: 'line' | 'bar' | 'pie' | 'area' | 'scatter' | 'heatmap'; title: string; data: any[]; labels: string[]; colors?: string[]; options?: Record<string, any>; } export interface RecommendationItem { priority: 'critical' | 'high' | 'medium' | 'low'; category: 'cost' | 'performance' | 'quality' | 'user_experience' | 'technical'; title: string; description: string; expectedImpact: string; implementation: string; timeline: string; effort: string; roi: string; } export interface ExportOptions { format: 'json' | 'csv' | 'excel' | 'pdf' | 'html'; includeCharts: boolean; includeRawData: boolean; timeframe?: string; sections?: string[]; customFields?: string[]; } export declare class AnalyticsEngine { private metricsCache; private reportsCache; private readonly CACHE_SIZE; private analyticsTimer; private isCollectionPaused; constructor(); /** * Start continuous analytics collection */ private startAnalyticsCollection; /** * Pause analytics collection during interactive sessions */ pauseCollection(): void; /** * Resume analytics collection */ resumeCollection(): void; /** * Stop analytics collection completely */ stopCollection(): void; /** * Collect comprehensive analytics metrics */ collectAnalyticsMetrics(timeframe?: string): Promise<AnalyticsMetrics>; /** * Generate comprehensive analytics report */ generateAnalyticsReport(reportType: AnalyticsReport['reportType'], timeframe?: string, options?: Partial<ExportOptions>): Promise<AnalyticsReport>; /** * Export analytics data in various formats */ exportAnalytics(reportId: string, options: ExportOptions): Promise<{ content: string; filename: string; mimeType: string; }>; /** * Get business intelligence dashboard data */ getBIDashboard(): Promise<{ kpis: Record<string, any>; alerts: any[]; trends: Record<string, any>; insights: string[]; }>; /** * Private helper methods */ private getPerformanceData; private getConversationData; private getCostData; private getQualityData; private calculateBusinessKPIs; private calculateOperationalMetrics; private calculateQualityMetrics; private calculateCostMetrics; private calculateUserBehaviorMetrics; private calculateTechnicalMetrics; private generateExecutiveSummary; private generateChartData; private generateRecommendations; private generateBenchmarks; private generateReportTitle; private generateAlerts; private analyzeTrends; private generateInsights; private exportAsJSON; private exportAsCSV; private exportAsExcel; private exportAsHTML; private exportAsPDF; private parseTimeframe; private addMetricsToCache; private addReportToCache; /** * Get cached metrics */ getCachedMetrics(): AnalyticsMetrics[]; /** * Get cached reports */ getCachedReports(): AnalyticsReport[]; /** * Clear caches */ clearCaches(): void; } /** * Global analytics engine instance */ export declare const globalAnalyticsEngine: AnalyticsEngine; //# sourceMappingURL=analytics-engine.d.ts.map