使用 ASP.NET Core 和 OpenAI 构建 AI 驱动的 API(.NET 8 指南)
📄 中文摘要
AI 功能逐渐成为后端工作的常态。过去,大多数 API 只是 CRUD 端点,主要用于获取和更新数据,返回 JSON。如今,越来越多的请求涉及 AI,例如添加聊天机器人端点、总结用户反馈和自动分类支持票据。这使得后端需要与 AI 模型进行交互。对于熟悉 ASP.NET Core 的开发者来说,最初的做法是直接从端点调用 OpenAI API 并返回结果。这种方法适合快速原型,但随着系统的扩展,会出现一些问题,例如 AI 逻辑应放在哪里,以及控制器是否应直接调用 AI 模型等。
📄 English Summary
Building AI-Powered APIs with ASP.NET Core and OpenAI (.NET 8 Guide)
AI features are becoming a standard part of backend development. In the past, most APIs were simple CRUD endpoints focused on data retrieval and updates, returning JSON. Nowadays, requests often involve AI capabilities, such as adding chatbot endpoints, summarizing user feedback, and automatically classifying support tickets. This shift necessitates backend systems to interact with AI models. For developers familiar with ASP.NET Core, the initial approach is typically to call the OpenAI API directly from an endpoint and return the results. While this works for quick prototypes, it raises questions as the system scales, such as where the AI logic should reside and whether controllers should directly invoke AI models.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等