Versions:

  • 1.2.5
  • 1.2.4
  • 1.2.3

Token Use is a desktop application published by Russ McKendrick that tracks token consumption and associated costs for local AI coding tools. Falling within the developer tools and AI utilities category, the software addresses a practical need for developers who work with locally run AI coding assistants: understanding exactly how many tokens are being used during coding sessions and what those tokens cost. The application is designed for individual developers, small teams, and anyone monitoring the efficiency of AI-assisted development workflows, making it useful for budgeting API-related expenses, comparing usage across projects, and identifying unusually expensive operations or prompts. Rather than relying on external dashboards or manual logging, Token Use brings this monitoring capability directly to the desktop environment, consolidating token and cost visibility into a dedicated local application. Typical use cases include daily usage monitoring during active development, reviewing historical consumption to inform cost decisions, and keeping track of spending when working with metered AI services. The current release of Token Use is version 1.2.5, and the catalog records a total of three versions of the software, indicating that the application has gone through multiple published iterations since its initial release. This version history reflects ongoing maintenance and refinement of the tool by its publisher. Users evaluating Token Use can refer to the version history to understand how the application has evolved over time. Overall, Token Use serves as a focused, single-purpose utility for gaining transparency into local AI coding tool token usage and the costs that usage generates.

Tags: