<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/agent/</link><description>Recent content in Agent 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>Mon, 09 Feb 2026 11:01:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/agent/index.xml" rel="self" type="application/rss+xml"/><item><title>LangChain 从入门到实战：构建 LLM 应用的工程框架</title><link>https://socake.github.io/posts/langchain-practical-guide/</link><pubDate>Mon, 09 Feb 2026 11:01:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/langchain-practical-guide/</guid><description>LangChain 是构建 LLM 应用最流行的框架，但也是踩坑最多的框架之一。本文从 LCEL 表达式、ReAct Agent、LangGraph 工作流到生产部署，梳理真正有用的部分，并指出哪些功能实际工程中应该避免。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/langchain-practical-guide/featured.jpg"/></item><item><title>LLM Tool Use 完全指南：Function Calling 设计模式与生产实践</title><link>https://socake.github.io/posts/llm-tool-use-function-calling/</link><pubDate>Sun, 18 Jan 2026 12:36:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/llm-tool-use-function-calling/</guid><description>从工程视角深入 LLM Tool Use：覆盖 OpenAI 与 Claude API 差异、工具 Schema 设计、并发调用、错误恢复，附完整运维助手代码示例</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/llm-tool-use-function-calling/featured.jpg"/></item><item><title>2026 大模型全景：主力模型横评与选型指南</title><link>https://socake.github.io/posts/llm-landscape-2025/</link><pubDate>Fri, 09 Jan 2026 13:50:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/llm-landscape-2025/</guid><description>GPT-5.4、Claude Opus 4.6、Gemini 2.5 Pro、Llama 4 Scout、DeepSeek V3.2——2026年4月的大模型格局已经和一年前完全不同。本文从工程师视角梳理当前主力模型的真实规格与适用边界，给出场景化选型矩阵，并讨论开源追平闭源、推理模型标配化、agent workload 崛起这三个2026年的核心判断。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/llm-landscape-2025/featured.jpg"/></item></channel></rss>