<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Asyncio on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/asyncio/</link><description>Recent content in Asyncio on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Fri, 22 Nov 2024 12:44:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/asyncio/index.xml" rel="self" type="application/rss+xml"/><item><title>Python 异步编程实战：asyncio 在 AI 应用中的使用</title><link>https://socake.github.io/posts/python-async-programming/</link><pubDate>Fri, 22 Nov 2024 12:44:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/python-async-programming/</guid><description>AI 应用天然是 I/O 密集型的：等 LLM 响应、等向量数据库检索、等多个工具调用返回。同步写法在这里是性能杀手。这篇文章从 event loop 原理讲到实际的 AI 应用模式，重点是 asyncio.gather 并发调用、SSE 流式输出处理和常见陷阱排查。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/python-async-programming/featured.jpg"/></item></channel></rss>