English(EN) Stop Building Agents as While-Loops. Model Them as State Machines.

AI Agent：状态机相比 While 循环提供更优越的调试和安全性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 09:30

本文提倡将 AI Agent 建模为状态机，而非传统的 while 循环，以提高其可调试性、安全性和可恢复性。作者对比了这两种方法，强调了具有命名状态和类型化数据的状态机如何提供对 Agent 进展和范围更清晰的可见性。一个实际示例 'relayg'，一个使用 LangGraph 构建的支持工单分类 Agent，展示了这种状态机架构如何自然地将 LLM 任务与确定性逻辑分开。 AI

影响采用状态机来构建 AI Agent 有可能带来更健壮、更易于维护的生产系统。

排序理由该条目是一篇倡导 AI Agent 特定架构模式的观点文章。

在 dev.to — LLM tag 阅读 →

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dev.to — LLM tag TIER_1 English(EN) · Royal Simpson Pinto · 2026-11-06 09:30

停止将代理构建为while循环。将它们建模为状态机。

<p>Most agent tutorials teach you the same shape. There is a loop. Inside the loop the model thinks, maybe calls a tool, and you check whether it is done. If not, you go around again. It is compact, it demos well, and it is the reason so many agents are miserable to operate in pr…

本文如何被排名

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停止将代理构建为while循环。将它们建模为状态机。

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