This project is a command-line utility designed to monitor and analyze token consumption and financial expenditure for AI coding assistants. By parsing local session logs directly on the user's machine, it provides a privacy-focused way to track development activity without transmitting sensitive data to external servers.
The tool distinguishes itself through its ability to aggregate disparate log formats from multiple coding assistants into a unified, schema-agnostic representation. It features a decoupled pricing engine that allows users to apply custom model-specific cost multipliers, override default pricing, and account for different service tiers. This enables granular reporting across various dimensions, including individual interaction sessions, specific projects, or custom time-based billing windows.
Beyond core tracking, the utility supports a wide range of analytical capabilities such as trend visualization, currency conversion, and the ability to inspect individual conversation logs. Users can configure reporting parameters, define project aliases, and export findings into machine-readable formats for further integration. The entire analysis process operates locally, ensuring that usage telemetry remains private and accessible even without an active network connection.
