
Script Tracks Multiple AI Model Quotas
TL;DR: A developer created a script to monitor daily usage quotas for Claude, Codex, and Gemini from a single place. The tool runs hourly, collecting data from all three services and writing it to a JSON file to prevent unexpected lockouts when hitting rate limits during coding tasks.
Key facts
- Category
- AI
- Impact
- Low
- Published
- Source
- Dev.to
Full summary
A developer built a script to track Claude, Codex, and Gemini usage quotas, preventing unexpected lockouts from hitting rate limits mid-task.
A developer who relies on multiple AI coding assistants—including Claude, Codex, and Gemini—has created a script to solve a common frustration: hitting usage limits without warning. They were frequently locked out of the services mid-task, leading to lost time and productivity. The custom script automates the process of checking API quotas for all three models simultaneously. It collects the relevant usage data from each service's API and consolidates it into a single, unified JSON file. This provides a clear, centralized overview of the remaining capacity for each tool. The script is set to run automatically every hour using a cron job, ensuring the data is always up-to-date.
This approach is highly relevant for developers, researchers, and small teams who leverage a mix of AI models in their workflows. Juggling different rate limits, billing cycles, and reset periods for each service is often a manual and inefficient process. By automating quota tracking, developers can avoid unexpected interruptions and make more informed decisions about which model to use at any given time. The creator of the script integrated its output directly into their code editor's status line, providing an at-a-glance visual indicator of their remaining session capacity. This practical solution demonstrates a simple yet effective way to manage the operational overhead of using multiple AI services.
Tags
Primary source: Dev.to