Retok: Token-efficiency analyzer for Claude Code and Codex CLI (zero deps) (github.com)

Retok, a new command-line interface (CLI) tool, has been launched to analyze AI coding agent usage logs from Claude Code and OpenAI Codex CLI. This tool measures token efficiency, estimates costs, and delivers actionable recommendations—all while running solely on Python 3 with no external dependencies. Users can benefit from insights such as an estimated cost breakdown, cache hit rates, and opportunities to optimize usage, helping developers manage their AI coding expenses more effectively. For the AI and machine learning community, the introduction of Retok is significant as it addresses the growing need for cost-effective AI operation. By providing a transparent analysis of token consumption and potential savings—like improving cache management and delegating tasks to less expensive models—Retok empowers developers to make data-driven decisions. This can minimize operational expenses while maximizing the effectiveness of AI workflows, ultimately leading to more efficient project execution in a landscape where AI costs can significantly impact budgets.