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      <title>SGLang 结构化生成实战：RadixAttention、约束解码与多轮对话优化</title>
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      <author>17691281867@163.com (Wenzhuo Huang)</author>
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      <description>SGLang 是被低估的 LLM 推理框架，RadixAttention 对多轮对话和 Agent 场景收益巨大。本文讲清 SGLang 的核心机制、前端 DSL、约束解码、部署方式和踩坑。</description>
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