📄 中文摘要
一位维护经理在其首个 SaaS 项目中，针对计算机化维护管理系统（CMMS）需求，构建了一个缓存代理，以应对 OpenAI API 费用高昂的问题。该项目的主要应用包括自动生成工单、预测性维护警报、供应商沟通及培训文档等。然而，频繁使用相同的提示导致了重复付费的问题。通过实现缓存代理，成功减少了 40% 的 API 开支，分享了具体的实现方式、所遇到的挑战以及代码示例。
为 OpenAI 构建缓存代理 — 节省 40% 的 API 费用
出处: Built a Caching Proxy for OpenAI — Saved 40% on API Bills
发布: 2026年3月28日
📄 English Summary
Built a Caching Proxy for OpenAI — Saved 40% on API Bills
A maintenance manager developed a caching proxy for their first SaaS project to address the high costs associated with the OpenAI API for their Computerized Maintenance Management System (CMMS). The AI was utilized for auto-generating work orders, predictive maintenance alerts, vendor communications, and training documents. However, the repetitive use of the same prompts resulted in constant charges. By implementing the caching proxy, the manager achieved a 40% reduction in API costs, sharing insights on the implementation process, challenges faced, and actual code examples.