LLM Session Cost Dashboards - Monitors token consumption and API costs for Claude Code sessions with real-time dashboards and historical analysis.
AI Token Budget Controllers - Sets and tracks token usage limits across sessions with cost projections and burn rate calculations.
Timeframe-Based Usage Views - Presents token and cost data in real-time, daily, and monthly aggregated views for trend analysis.
ML-Based Session Limit Predictors - Analyzes historical Claude Code session data to predict when sessions will expire using machine learning.
Live Session Displays - Displays live token consumption, message count, and cost with configurable refresh rates and intelligent display updates.
Real-Time Session Monitors - Monitors real-time token consumption and cost for Claude Code sessions with configurable display and alerting.
Token Cost Calculators - Computes per-model token costs by applying cache-aware pricing formulas to raw consumption metrics.
Token Velocity Calculators - Computes token velocity and model-specific cost projections including cache token calculations.
Token Consumption Progress Bars - Provides color-coded progress bars that visually indicate token consumption levels in real-time.
Terminal-Based Dashboards - Renders color-coded progress bars and sortable data tables that adapt to terminal size and theme.
Terminal UI Layouts - Renders color-coded progress bars, sortable data tables, and responsive layouts that adapt to terminal size and theme.
Session Expiration Forecasters - Analyzes historical usage patterns with linear regression to forecast session expiration and personalized token limits.
ML-Based Forecasting Models - Uses machine learning on historical session data to predict session expiration times and optimal plan selection.
Multi-View Usage Aggregators - Provides real-time, daily, and monthly aggregated views of token consumption and cost data for budget planning.
Timeframe Aggregation Pipelines - Transforms raw session data into real-time, daily, and monthly summaries through map-reduce operations.
Multi-Timeframe Usage Reports - Views token and cost data across real-time, daily, and monthly timeframes for comprehensive budget planning.
Terminal Layout Engines - Renders UI components that automatically resize and reposition based on detected terminal dimensions and color scheme.
ML-Based Limit Forecasters - Analyzes historical usage patterns to forecast session expiration and personalized token limits.
Session Pattern Analyzers - Analyzes historical Claude Code session data to identify usage patterns and predict future token consumption.
Asynchronous Polling Timers - Fetches token usage data at configurable intervals using asynchronous timers that update without blocking input.
