A Activity diagram used in UML 6/9 and SysML B Bachman diagram Booch used in software engineering Block diagram Block Definition Diagram BDD used in SysML C Carroll diagram Cartogram Catalytic cycle Chemical equation Curly arrow diagram Category theory diagrams Cause-and-effect diagram Chord diagram Circuit diagram Class diagram from UML 1/9 Collaboration diagram from UML 2.0 Communication diagram from UML 2.0 Commutative diagram Comparison diagram Component diagram from UML 3/9 Composite structure diagram from UML 2.0 Concept map Constellation diagram Context diagram Control flow diagram Contour diagram Cordier diagram Cross functional flowchart D Data model diagram Data flow diagram Data structure diagram Dendrogram Dependency diagram Deployment diagram from UML 9/9 Dot and cross diagram Double bubble map used in education Drakon-chart E Entity-Relationship diagram ERD Event-driven process chain Euler diagram Eye diagram a diagram of a received telecommunications signal Express-G Extended Functional Flow Block Diagram EFFBD F Family tree Feynman diagram Flow chart Flow process chart Flow diagram Fusion diagram Free body diagram G Gantt chart shows the timing of tasks or activities used in project management Grotrian diagram Goodman diagram shows the fatigue data example: for a wind turbine blades H Hasse diagram HIPO diagram I Internal Block Diagram IBD used in SysML IDEF0 IDEF1 entity relations Interaction overview diagram from UML Ishikawa diagram J Jackson diagram K Karnaugh map Kinematic diagram L Ladder diagram Line of balance Link grammar diagram M Martin ERD Message Sequence Chart Mind map used for learning, brainstorming, memory, visual thinking and problem solving Minkowski spacetime diagram Molecular orbital diagram N N2 Nassi Shneiderman diagram or structogram a representation for structured programming Nomogram Network diagram O Object diagram from UML 2/9 Organigram Onion diagram also known as "stacked Venn diagram" P Package diagram from UML 4/9 and SysML Parametric diagram from SysML PERT Petri net shows the structure of a distributed system as a directed bipartite graph with annotations Phylogenetic tree - represents a phylogeny evolutionary relationships among groups of organisms Piping and instrumentation diagram P&ID Phase diagram used to present solid/liquid/gas information Plant Diagram Pressure volume diagram used to analyse engines Pourbaix diagram Process flow diagram or PFD used in chemical engineering Program structure diagram R Radar chart Radial Diagram Requirement Diagram Used in SysML Rich Picture R-diagram Routing diagram S Sankey diagram represents material, energy or cost flows with quantity proportional arrows in a process network. Sentence diagram represents the grammatical structure of a natural language sentence. Sequence diagram from UML 8/9 and SysML SDL/GR diagram Specification and Description Language. SDL is a formal language used in computer science. Smith chart Spider chart Spray diagram SSADM Structured Systems Analysis and Design Methodology used in software engineering Star chart/Celestial sphere State diagram are used for state machines in software engineering from UML 7/9 Swim lane Syntax diagram used in software engineering to represent a context-free grammar Systems Biology Graphical Notation a graphical notation used in diagrams of biochemical and cellular processes studied in Systems biology System context diagram System structure Systematic layout planning T Timing Diagram: Digital Timing Diagram Timing Diagram: UML 2.0 TQM Diagram Treemap U UML diagram Unified Modeling Language used in software engineering Use case diagram from UML 5/9 and SysML V Value Stream Mapping Venn diagram Voronoi diagram W Warnier-Orr Williot diagram Y Yourdon-Coad see Edward Yourdon, used in software engineering
而在众多 Agent 架构中， ReAct 框架 （Reasoning Acting）是一种非常经典的思维方式——它让大语言模型一边推理 （用 Thought 表达思考过程），一边 行动 （用 Action 执行操作），并根据返回结果（Observation）继续决策，直到给出最终的答案。
大模型Agent的ReAct框架全解析 你希望全面了解大模型Agent的ReAct框架，接下来我会按照「是什么→为什么需要→核心工作模式→工作流程→入门实操→常见问题及解决方案」的逻辑层层拆解，确保内容易懂、体系完整。 1. 是什么：ReAct框架的核心定义与特征
ReAct框架（Reasoning Acting）应运而生，通过将 链式推理（Reasoning） 与 环境行动（Acting） 结合，构建出能主动思考、决策并执行复杂任务的智能体（Agent）。 一、ReAct的核心设计思想 1. 推理（Reasoning）模块
看看现在这AI的浪潮：从只会陪你唠两句的“聊天崽”，到能搬砖的“小助手”，再到现在能自己动脑子、做决策、搞执行的真Agent，这步子迈得贼快！ 而“ReAct框架”，就是让AI Agent“开窍”、能自主思考和行动的关键钥匙。
传统Agent可能盲目执行错误指令，而ReAct的 显式推理步骤 让决策过程可追溯，减少无依据输出。 例如，当用户询问"爱因斯坦最近的推特说了什么？ "，ReAct会先推理：“爱因斯坦已去世，需搜索历史资料库而非实时社交媒体”，从而避免产生荒谬回答。
ReAct范式通过"推理 行动 观察"闭环机制，将大语言模型与外部工具结合，解决了AI系统的幻觉、僵化、不可解释等痛点。 本文深入解析ReAct的技术原理、架构设计及代码实现，展示其在知识问答、智能规划等场景的应用优势。
Agent 看起来是一个非常复杂的系统，但是实际上有一种快速的实现方式，那就是 LLM ReAct 框架 。 那么什么是 ReAct 呢？ ReAct 实际上是两个单词的缩写：Reasoning Acting，也就是推理 行动，它是一个引导大语言模型进行推理和行动的思维框架。 在《ReAct: Synergizing Reasoning and Acting in Language Models》这篇论文中首次提出。 我们引用论文中的示例来解释一下。 假设我们想要问大模型这样一个问题：
Agent智能体技术解析：揭秘AI自主思考与任务执行的核心原理。 本文深度剖析Agent分层架构设计、ReAct推理框架及工具调用协议，提供5个实战代码示例与3个架构图解，详解从模糊需求处理到错误恢复的完整工作流。
下面将探讨ReAct框架的概念、原理、优势，并通过代码示例展示如何在LangChain中使用ReAct构建AI Agent。 2. ReAct概念和原理. 我们知道，LLM在训练完毕后，会具备较强的推理能力，但是他的知识随着时间的推移会过时，但是又不可能经常性的去训练LLM，毕竟每次训练的成本太高了。 那怎么解决这个问题？ 机器可以像人一样自己主动去学习和搜索新知识呀。 那机器怎么知道什么时候该去搜索知识？ 什么时候时候该去调用什么样的工具解决当前的问题呢？ ReAct应运而生。 ReAct的核心在于，推理和行动。
在AI领域， 智能体（AI Agent） 早已不是新鲜概念，它本质是具备自主“感知环境 逻辑推理 执行动作”能力的智能实体，能接收复杂任务后，无需人工干预即可拆解步骤、调用工具完成目标。 而在众多Agent架构中， ReAct框架 （融合Reasoning推理与Acting行动）凭借其贴近人类思考的特性成为经典——它让大语言 模型 （LLM）在处理任务时，同步输出“思考过程（Thought）”与“执行动作（Action）”，再根据外部工具返回的结果（Observation）动态调整决策，直至生成最终答案。
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