@GitHub_Daily: An open-source tool called 9router recently went viral, adding an intelligent dispatch center to all AI coding tools. Usually, when using Claude Code, API quotas deplete rapidly, and encountering lengthy error logs instantly burns through tokens. But 9router has built-in smart compression...

Recently, an open-source tool called 9router has become quite popular, adding a smart dispatch center to all AI coding tools. Normally, when using Claude Code, API quotas get consumed very quickly, and encountering long error logs instantly burns through tokens. 9router, however, has a built-in intelligent compression algorithm that automatically trims redundant information from terminal logs or code diffs, saving us a significant amount of token consumption per request. Its core highlight is the practical three-tier fallback mechanism. When the primary model's quota is exhausted or an error occurs, it seamlessly switches to backup cheaper or free models, ensuring uninterrupted development. It natively supports Claude Code, Codex, Cursor and other mainstream AI coding tools, easily routing requests to dozens of different model providers. GitHub: http://github.com/decolua/9router . It also provides out-of-the-box deployment options, which can be quickly run via global npm installation or Docker. It comes with an intuitive local dashboard, allowing us to monitor quota consumption and flexibly configure model combinations anytime. It's perfect for those who heavily rely on AI-assisted programming, as it effectively reduces API call costs and is well worth deploying and experiencing.