📄 中文摘要
通过提示缓存技术，可以显著提升 OpenAI 应用的速度、降低成本并提高效率。教程详细介绍了如何实现这一技术，包括设置环境、编写代码以及优化性能的具体步骤。通过示例代码，读者能够快速掌握如何在自己的项目中应用提示缓存，从而减少 API 调用次数，提高响应速度。该方法不仅适用于开发者，也为企业在使用 AI 技术时提供了实用的解决方案。
使用 OpenAI API 的提示缓存：完整的 Python 实践教程
出处: Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial
发布: 2026年3月22日
📄 English Summary
Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial
Prompt caching technology can significantly enhance the speed, reduce costs, and improve the efficiency of OpenAI applications. The tutorial provides a detailed guide on how to implement this technology, including setting up the environment, writing code, and optimizing performance. Through example code, readers can quickly learn how to apply prompt caching in their own projects, thereby reducing the number of API calls and improving response times. This approach is beneficial not only for developers but also offers practical solutions for businesses utilizing AI technologies.