<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>工程化 on 1630.top 技术博客</title><link>https://www.1630.top/tags/%E5%B7%A5%E7%A8%8B%E5%8C%96.html</link><description>Recent content in 工程化 on 1630.top 技术博客</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 13 Jul 2026 08:00:00 +0800</lastBuildDate><atom:link href="https://www.1630.top/tags/%E5%B7%A5%E7%A8%8B%E5%8C%96/rss.xml" rel="self" type="application/rss+xml"/><item><title>大模型API工程化实战：限流、缓存、降级与成本优化完整指南</title><link>https://www.1630.top/articles/llm-api-engineering-production-guide.html</link><pubDate>Mon, 13 Jul 2026 08:00:00 +0800</pubDate><guid>https://www.1630.top/articles/llm-api-engineering-production-guide.html</guid><description>从单体API调用到企业级LLM网关，本文系统讲解大模型API工程化的六大核心模块：限流策略、语义缓存、故障降级、成本控制、重试机制与可观测性，附完整Python代码示例。</description></item></channel></rss>