claude-usage-tracker/dist/predictive-analytics.d.ts

Advanced analytics for Claude Code usage with cost optimization, conversation length analysis, and rate limit tracking

import type { UsageEntry } from "./types.js";
export interface BudgetPrediction {
    currentSpend: number;
    projectedMonthlySpend: number;
    daysUntilBudgetExhausted: number;
    confidenceLevel: number;
    trendDirection: "increasing" | "decreasing" | "stable";
    recommendations: string[];
}
export interface UsageAnomaly {
    type: "cost_spike" | "efficiency_drop" | "unusual_pattern";
    severity: "low" | "medium" | "high";
    description: string;
    detectedAt: Date;
    metric: number;
    baseline: number;
    deviation: number;
}
export interface ModelSuggestion {
    currentModel: string;
    suggestedModel: string;
    potentialSavings: number;
    confidence: number;
    reasoning: string;
    conversationContext: string;
}
export declare class PredictiveAnalyzer {
    private readonly ANOMALY_THRESHOLD;
    predictBudgetBurn(entries: UsageEntry[], monthlyBudget?: number): BudgetPrediction;
    detectUsageAnomalies(entries: UsageEntry[]): UsageAnomaly[];
    generateModelSuggestions(entries: UsageEntry[]): ModelSuggestion[];
    private getEntriesInRange;
    private getDailyCosts;
    private calculateStandardDeviation;
    private calculatePredictionConfidence;
    private generateBudgetRecommendations;
    private getConversationEfficiency;
    private getWeekendUsage;
    private getWeekdayUsage;
    private groupByConversation;
    private inferCodeContext;
    private calculateComplexityScore;
    private getSuggestionForConversation;
}
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