Langgraph prebuilt create react agent. prebuilt import create_react_agent from langchain_core.

Langgraph prebuilt create react agent. This guide shows you how to set up and use LangGraph's prebuilt, reusable components, which are designed to help you construct agentic systems quickly and reliably. Jan 18, 2025 · This article explains how to create a simple ReAct agent application using LangGraph. 本文重点介绍如何从旧版 LangChain Agents 迁移到更灵活的 LangGraph Agents。 LangChain Agents（特别是 AgentExecutor）具有多个配置参数。 在本笔记本中，我们将展示如何使用 create_react_agent 预构建的辅助方法将这些参数映射到 LangGraph react agent executor。 Feb 20, 2024 · Checked other resources I added a very descriptive title to this issue. This function creates a graph that serves as the bridge between the chat model and the available tools, thus enabling agentic tool calling. Graphs are composed of Apr 16, 2025 · LangGraph Prebuilt Agent 流程图 本文档展示了LangGraph的 prebuilt 模块中Agent的实现流程，重点是 create_react_agent 函数构建的代理系统流程和结构。 Oct 14, 2024 · I am trying to use the langchain agents and unable to load the create_react_agent using this code from langchain_google_genai import ChatGoogleGenerativeAI from langchain import hub from langchain. Introduction to ReACT Architecture ReACT (Reasoning and Acting) is an intelligent agent architecture that combines reasoning and acting capabilities. tools import tool from langgraph. [docs] def create_react_agent( llm: BaseLanguageModel, tools: Sequence[BaseTool], prompt: BasePromptTemplate, output_parser: Optional[AgentOutputParser] = None, tools_renderer: ToolsRenderer = render_text_description, *, stop_sequence: Union[bool, list[str]] = True, ) -> Runnable: """Create an agent that uses ReAct prompting. prebuilt import ToolNode Now I see the problem there is no langgraph. LangGraph 快速入门 本指南将向您展示如何设置和使用 LangGraph 的 预构建 、 可复用 组件，这些组件旨在帮助您快速可靠地构建代理系统。 先决条件 在开始本教程之前，请确保您具备以下条件： 一个 Anthropic API 密钥 1. utils import ( trim_messages, count_tokens_approximately, ) # This function will be added as a new node in ReAct agent graph # that will run every time before the node that calls the LLM. What is LangGraph? LangGraph is a graph-based framework for building complex LLM applications, designed for stateful workflows. prebuilt import create_react_agent graph = create_react_agent (model, tools=tools, state_modifier =prompt) 很简单就这么实现了 如何向预构建的 Mar 21, 2025 · langgraph already includes this prebuilt dependency, so usually, there's no need for additional installation. messages import HumanMessage # 创建 LangGraph 代理 agent = create_react_agent (model, tools) # 测试代理 response = agent. Tried to import as: from langgraph. Additionally, It is good to understand the underlying concepts and how to build your own ReAct agent from scratch. : Feb 18, 2025 · from langchain_core. invoke ({"input": "What is the weather in San Francisco?"}) print (response) Nov 20, 2024 · this actually allows passing more state variables into your prompt as well, for example if you have some state keys like user_info etc, you can pass that information to the prompt as well. prebuilt react agent는 이미 누군가 만들어 Sep 12, 2024 · Issue with state_modifier in create_react_agent I'm facing an issue with the state_modifier in the create_react_agent function, where it doesn't seem to receive the complete state from the graph. Contribute to langchain-ai/langgraph development by creating an account on GitHub. 导入必要的库 from langchain_openai import ChatOpenAI from typing import Literal from langchain_core. 3 I use prebuild ToolNode using: from langgraph. 6k次，点赞5次，收藏7次。现在用 create_react_agent 实现：llm在用户是萌兰时，调用tool---执行任务A。_crearereactagent 本指南演示了如何使用 LangGraph 的 函数式 API 实现 ReAct 智能体。 ReAct 智能体是一种 工具调用型智能体，其操作如下： 向聊天模型发出查询； 如果模型未生成 工具调用，我们返回模型响应。 如果模型生成了工具调用，我们使用可用工具执行这些工具调用，将它们作为 工具消息 附加到我们的消息 That’s precisely what the create_react_agent function helps you accomplish. prebuilt import create_react_agent from IPython. io/langgraph/reference/prebuilt/#langgraph. Mar 6, 2025 · 文章浏览阅读987次，点赞12次，收藏26次。ReAct 模式的实现“反应式代理”（react agent）背后的思想通常被称为 ReAct 模式，即在对话中交替进行“推理”（reasoning）和“行动”（acting）。代理首先利用传入的 chat 模型进行推理，判断当前用户意图是什么。根据判断结果，代理决定是否需要调用某个 Jun 26, 2025 · LangGraph’s prebuilt agents offer a powerful shortcut to building intelligent LLM-powered applications — and one standout utility is the create_react_agent function from the langgraph. 5 LangGraph 之 ReAct agent 一、ReAct 概念 ReAct 是一种大模型应用中的智能体架构，和流行的前端框架 react 不是一个东西，ReAct 是 Re (Reasoning，推理)和 Act（Action，行动）两个单词的简写，用通俗的话来说，它可以让大模型像人一样“思考”和“行动”，实现更强的任务处理能力。这里把它拆解为两个关键 Jan 15, 2025 · 在这篇教程中，我们将学习如何使用 LangGraph 和 LangChain 构建一个具有记忆功能的智能对话代理。这个代理能够使用搜索工具来回答问题，并保持对话的连续性。 Build resilient language agents as graphs. checkpoint import MemorySaver # an in-memory checkpointer from langgraph. prebuilt' (unknown location) #3662 Closed Ibrahimous opened on Mar 3 Dec 9, 2024 · The prompt must have input keys: tools: contains descriptions and arguments for each tool. LangGraph는 그래프 (Graph)를 만들어 자신만의 에이전트 (Agent)를 만드는 것을 목표로 한다. memory import InMemorySaver from langchain_core. Problem is data validation. messages import SystemMessage from langchain_core. Nov 11, 2024 · 引言 在人工智能和大语言模型（LLM）快速发展的今天，如何构建高效、灵活的智能Agent成为了一个热门话题。LangGraph作为一个强大的工具，为我们提供了一种新的方式来实现复杂的AI工作流，特别是在构建ReACT（Reasoning and Acting）架构的智能Agent方面表现出色。本文将 May 29, 2025 · Migration Example: From initialize_agent to create_react_agent (LangGraph) Here’s how to update your deprecated agent creation logic using LangGraph’s pre-built ReAct agent. Oct 24, 2024 · It is important to note that I am using langgraph. 3. If you encounter issues with importing, it's recommended to completely uninstall the package and then reinstall it, rather than simply updating it. Feb 28, 2025 · This section explains how to create a simple ReAct agent app (e. For a more robust and feature-rich implementation, we recommend using the create_react_agent function from the LangGraph library. We are also introducing a new set of prebuilt agents built on top of LangGraph, in both Python and JavaScript. These components allow developers to quickly build functional applications without implementing low-level graph construction patterns from scratch. 概述 langgraph. Feb 27, 2025 · Hi, I am using langgraph, today upgraded to Version 0. 在LangGraph项目开发过程中，开发者可能会遇到`create_react_agent`函数导入失败的问题。 本文将深入分析该问题的成因，并提供有效的解决方案。 Apr 11, 2025 · そんな中、 langgraph を使用して、最も簡単にエージェントを作成する方法が create_react_agent です。 本記事では、その実装にフォーカスし、ソースコードを読み解くことで、AIエージェント実装の基本や仕組みについて解説していきます。 Oct 15, 2024 · Hey, I'm just getting started with langgraph and am using the prebuilt create_react_agent helper function. messages. create_react_agent to create the agent. The agent (an LLM) first determines whether to call a tool; if needed, it invokes the tool and uses its output, otherwise it responds directly. NOTE: if you need to add extra state keys to create_react_agent, you'd need to also pass state_schema parameter. Did the Jun 15, 2025 · create_react_agent とは？ create_react_agent は、LangGraphが提供する prebuilt 機能の一つで、ReActエージェントとして機能する CompiledGraph を返すファクトリ関数です。 CompiledGraph はLangChain Runnableオブジェクトの一種であり、他のLCELコンポーネントと同様に invoke （呼び出し）、 stream （ストリーミング Mar 1, 2025 · You can use the react_search_agent () from the langgraph. create_react_agent function to set up an agent. github. prebuilt import create_react_agent graph = create_react_agent( model, tools=tools, interrupt_before=["tools"], checkpointer=memory ) Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. Respond only in Spanish. It’s built on top of the ReAct (Reasoning and Acting) paradigm and integrated directly into LangGraph to provide a Templates: Pre-built reference apps for common agentic workflows (e. Install dependencies. Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. lower(): return "It's 60 degrees and foggy. In those cases, you can create a custom ReAct agent. Now that it provides structured output, it is even more valuable. We will not use any pre-built agent utilities; instead, we'll explicitly define the agent's graph nodes and conditional edges. Today, we are splitting that out of langgraph as part of a 0. To run the tool calls, we first need to create a ReAct agent by using the prebuilt LangGraph create_react_agent helper method. The function signature allows for an optional prompt parameter. spec & ToAnnotationRoot<A> ["spec"], ReturnType<typeof createReactAgentAnnotation>["spec"] & ToAnnotationRoot<A # Create server parameters for stdio connection from mcp import ClientSession, StdioServerParameters from mcp. prebuilt import create_react_agent from langgraph. Having issues importing create_react_agent. The goal of abstractions in our prebuilt module is to make it as easy as possible to get started with an agent that has access to (dynamic) tools, prompts, etc. If you haven't already, install LangGraph and LangChain: Jan 18, 2025 · This article explains how to create a simple ReAct agent application using LangGraph. Feb 27, 2025 · It was create_react_agent, a wrapper for creating a simple tool calling agent. See the [reference doc] (https://langchain-ai. g. Given an input question May 21, 2024 · Could you please provide a better solution to use the pre-defined prompt by create_react_agent () interface? For example, as shown below, the variable prompt is a global variable, and it is used internally by the function modify_messages (). create_react_agent) for more information. prebuilt import create_react_agent # Create the agent memory = MemorySaver() model = init_chat_model("anthropic:claude-3-5-sonnet-latest") search = TavilySearch(max_results=2) tools = [search] agent Jan 24, 2025 · It's the code from the documentation, which clearly states that create_react_agent has a response_format option, but it returns an error of: TypeError: create_react_agent() got an unexpected keyword argument 'response_format' Prebuilt Agent Please note that here will we use a prebuilt agent. prebuilt import create_react_agent # Define a custom system message system_message = "You are a helpful assistant. For more details on using create_react_agent, visit Agents documentation. x, specifically using the langgraph. py, demonstrates a flexible ReAct agent that iteratively Jun 17, 2025 · # Import relevant functionality from langchain. prebuilt import create_react_agent # Define the tools for the agent to use def search(query: str): """Call to surf the web. tools. To define the ReAct agent's functionality, pass the system_prompt to the state_modifier attribute. prebuilt code, I don't see any reason why it won't work. hope this helps! May 29, 2025 · 🤖 LangGraph Multi-Agent Supervisor A Python library for creating hierarchical multi-agent systems using LangGraph. 1k次，点赞28次，收藏28次。langgraph. messages import HumanMessage from langgraph. prebuilt import create_react_agent # システムメッセージの準備 Aug 21, 2024 · create_react_agent using langgraph generates errorhad to re-install langchain langchain_core langgraph which solved the issue (have tried it multiple times but dunno how it worked this time) thanks <3 Apr 20, 2025 · In this issue, we will build a simple ReAct-style agent from scratch using LangGraph (LangChain's graph-based framework) and LangChain in Python. Sep 11, 2024 · Problem with first solution is that it uses langGraph and in that create_react_agent I can't pass the prompt which is essential for my agent to drive the process building. checkpoint. memory import MemorySaver from langgraph. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools. The issue occurs when I use create_react_agent with no tools and a prompt and a response_format: """Worker to To return structured output from the prebuilt ReAct agent you can provide a responseFormat parameter with the desired output schema to createReactAgent: from langgraph. One of the big benefits of LangGraph is that you can easily create your own agent architectures. to check the weather) using LangGraph’s prebuilt ReAct agent. prebuilt 模块，用于快速创建基于 ReAct （Reasoning + Acting）架构的智能代理。LangGraph 是 LangChain 生态的扩展，专注于构建复杂、有状态的工作流，通过状态图（State Graph）管理节点和边，支持动态路由、循环和多代理 Apr 19, 2025 · I am working with langgraph version 0. tools = [get_weather] # 我们需要一个 checkpointer 来启用“人类参与”模式 from langgraph. prebuilt import create_react_agent from langchain_community. May 18, 2024 · from langgraph. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. get_tools () SQL_PREFIX = """You are an agent designed to interact with a SQL database. create_react_agent 是 LangGraph 库中的一个预构建函数，位于 langgraph. In this blog, learn how to create a simple ReAct agent using LangGraph. 3 release, and moving it into langgraph-prebuilt. prebuilt import create_react_agent封装好的 Memory Savor本人加入一些补充说明什么是 A… Jan 22, 2025 · LangGraph, a powerful library designed for crafting customizable AI systems, provides the necessary tools and structures to implement the ReAct framework effectively. Jun 12, 2024 · シンプルな実装例。 エージェントの出力にツール呼び出しがなくなるまで処理が続行される。 create_react_agent の返り値の型は CompiledGraph なので、通常のコンパイル済みGraphと同様に invoke 等のメソッドでエージェントの実行が可能。 In langgraph, we offer a prebuilt agent constructor create_react_agent, available in langgraph. prebuilt module to create a ReAct agent. Before you start this tutorial, ensure you have the following: 1. Here’s an example: 写在前面本文翻译自 LangChain 的官方文档 “Build an Agent”， 基于： LangGraph 封装好的 ReAct agent：from langgraph. chat_agent_executor. chat_models import init_chat_model from langchain_tavily import TavilySearch from langgraph. prebuilt import create_react_agent server_params = StdioServerParameters ( Please see this tutorial for how to get started with the prebuilt ReAct agent You can add a custom system prompt by passing a string to the stateModifier param. ReAct stands for Reasoning and Action Agent. This graph has two key components the language model and tools. The prebuilt components include agents, tool execution nodes, state Jun 20, 2024 · Example Code from langgraph. May 19, 2025 · 在使用LangGraph项目时，开发者可能会遇到一个常见的导入错误：无法从langgraph. messages import SystemMessage from langgraph. Jun 10, 2025 · 文章浏览阅读3. Case studies: Hear how industry leaders use LangGraph to ship AI applications at scale. This guide delves into the intricate process of building a ReAct agent using LangGraph. We will start by implementing tool calls, then utilize a pre-built agent, and finally, create このガイドでは、LangGraphを使用してシンプルなReActエージェントアプリケーションを作成する方法を説明します。必要な前提条件、パッケージのインストール、環境の設定、事前構築されたエージェントを使用して天気情報を確認するためのモデルの初期化についてカバーしています。 Nov 14, 2024 · Additionally, LangGraph offers some pre-built agents, such as ReACT agents and tool-calling agents, enabling us to create intelligent agents more quickly. E Mar 31, 2025 · LangGraph comes already with prebuilt ReAct agent create_react_agent, but sometimes you might want more control and customization. tool_names: contains all tool names. memory import MemorySaver memory = MemorySaver() # 定义图 from langgraph. prebuilt. """ # This is a placeholder, but don't tell the LLM that if "sf" in query. Creates an agent graph that calls tools in a loop until a stopping condition is met. Jun 30, 2025 · from langchain_anthropic import ChatAnthropic from langgraph. agent_toolkits import SQLDatabaseToolkit from langchain_core. 安装依赖 如果您尚未安装，请安装 LangGraph 和 LangChain Mar 2, 2025 · ImportError: cannot import name 'create_react_agent' from 'langgraph. ) that can be cloned and adapted. 0版本之后。 Mar 24, 2025 · When to finish LangGraph also has built-in support for ReAct — so you can create agents that reason and act automatically. " # Create the agent with a custom prompt langgraph_agent_executor = create_react_agent ( model, tools=tools, prompt=SystemMessage (system Apr 6, 2025 · 文章浏览阅读2. 🔧 Let’s Build a ReAct Agent — for Unit Conversion Jun 10, 2025 · langgraph-supervisorとは langgraph-supervisor は、LangChainに最近発表されたLangGraphを活用して階層型Multi Agentシステムを構築するためのPythonライブラリです。 中央のスーパーバイザーエージェントが各専門エージェントを統括し、タスクの割り当てや通信を管理します。 6 days ago · Building stateful, multi-actor applications with LLMsTrusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. prebuilt import create_react_agent toolkit = SQLDatabaseToolkit (db=db, llm=llm) tools = toolkit. 2. tavily_search import TavilySearchResults from langchain_openai import ChatOpenAI Tip If you want to use tools that return Command, you can either use prebuilt create_react_agent / ToolNode components, or implement your own tool-executing node that collects Command objects returned by the tools and returns a list of them, e. So while it's fine to start here to build an agent quickly, we would strongly recommend learning how to build your own agent so that you can take full advantage of LangGraph. Apr 16, 2025 · 1. agent_scratchpad: contains previous agent actions and tool outputs as a string. My Dec 4, 2024 · 本記事では、シングルAIエージェントの中でも非常に有名な"ReAct"というAIエージェントの内容と実装方法を紹介します。 ReActとは "ReAct"は2022年に公開された「ReAct: Synergizing Reasoning and Acting in Language Models」という論文で提案されたAIエージェントです。 Hi, I have been getting an issue with create_react_agent with response_format enabled. langgraph/prebuilt createReactAgent Function createReactAgent createReactAgent<A, StructuredResponseFormat>(params): CompiledStateGraph <ToAnnotationRoot<A>["State"], ToAnnotationRoot<A> ["Update"], any, typeof MessagesAnnotation. prebuilt 模块，用于快速创建基于 ReAct（Reasoning + Acting）架构的智能代理。LangGraph 是 LangChain 生态的扩展，专注于构建复杂、有状态的工作流，通过状态图（State Graph）管理节点和边 This template showcases a ReAct agent implemented using LangGraph, designed for LangGraph Studio. ''' return f"It's always sunny in {location}" graph = create_react_agent( "anthropic:claude-3-7-sonnet-latest", tools=[check_weather], prompt="You are a helpful assistant", ) inputs = {"messages Dec 3, 2024 · AutoGen, CrewAI 외 다른 프레임워크와 LangGraph 통합하는 방법 Prebuilt ReAct Agent ReAct 에이전트를 사용하는 방법 ReAct 에이전트에 메모리 추가하는 방법 ReAct 에이전트에 사용자 정의 시스템 프롬프트 추가하는 방법 ReAct 에이전트에 사람이 개입하는 프로세스를 추가하는 5 days ago · Prebuilt Components Relevant source files This document covers LangGraph's prebuilt components, which provide ready-to-use implementations for common agent and workflow patterns. prebuilt import create_react_agent Description When this agent runs, it never show any 'Thought' step Jun 20, 2024 · from langchain_community. While LangGraph offers a prebuilt ReAct agent (create_react_agent), it shines when you need more control and customization for your ReAct implementations. Oct 20, 2024 · can you just define the agent that doesn't need tools without using create_react_agent? as a simple single-node graph? Jul 18, 2024 · I try to use this react agent in a FastAPI server where I create an endpoint with langserve. Using the prebuilt ReAct agent create_react_agent is a great way to get started, but sometimes you might want more control and customization. The ReAct agent is a tool-calling agent that operates as follows: Queries are issued to a chat model; If the model generates no tool calls, we return the model response. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. prebuilt模块中导入create_react_agent函数。 这个问题主要出现在LangGraph版本升级后，特别是在0. chat_agent_executor import create_react_agent System Info Ran code locally $ pip show langgraph Name: langgraph Version: 0. 1. Jun 16, 2025 · Introduced in "ReAct: Synergizing Reasoning and Acting in Language Models" (2023), this pattern tries to mirror human-like, flexible problem-solving over rigid workflows. I searched the LangChain documentation with the integrated search. " Jan 23, 2025 · We will build up to a ReAct Agent and try to uncover some new features as we go. Based on paper "ReAct: Synergizing Reasoning and Acting in Language I like the create_react_agent because it is simple to get to a first draft when building agent. 3 Release: Prebuilt Agents 高レベルの抽象化により、簡単に始めることができ、新しい認知アーキテクチャを簡単に試すことができ、この分野への素晴らしい入り口となる これまで、上位レベルの抽象化が 1 つあり、メイ 1. stdio import stdio_client from langchain_mcp_adapters. Current agents rely on function-calling to implement the “think, act, observe” loop. prebuilt' (unknown location) #3656 New issue Closed Dec 16, 2024 · 文章浏览阅读1. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and from langgraph. prebuilt import create_react_agent def check_weather(location: str) -> str: '''Return the weather forecast for the specified location. Currently deploying the endpoint with: add_routes (app, agent, path="/agent", input_type=Any) Is there any documentation on what the data model has to look like for LangGraph if you want to do input validation? Mar 25, 2025 · 重要な記事 LangGraph 0. Mar 6, 2025 · Description Cannot run swarm with langgraph 0. 5k次，点赞13次，收藏33次。create_react_agent 是用于构建基于 ‌ReAct（思考-行动）模式‌ 的智能代理（Agent）的核心函数，其作用是将大语言模型（LLM）与工具调用能力结合，实现动态任务处理_langchain react agent Feb 28, 2025 · # 导入 LangGraph 相关模块 from langgraph. tools import load_mcp_tools from langgraph. ReAct agent, memory, retrieval etc. prebuilt import create_react_agent from langchain_core. Get started Install LangGraph: pip install -U langgraph Then, create an agent using prebuilt components: # pip install -qU Oct 23, 2024 · Experimenting with LangGraph Let’s build an agent using LangGraph to gain a deeper understanding. I know there are a bunch of other ways to create the agent, but after looking through the langgraph. I'd love to add runtime configuration so I can play with parameters using a streamlit app, Dec 7, 2024 · LangGraph is a versatile library for building goal-specific AI agents. Prebuilt ReAct Agent 란 에이전트 (Agent)는 LLM을 추론 엔진으로 사용하여 어떤 작업을 수행할지, 그리고 해당 작업을 수행하는 데 필요한 입력은 무엇인지 판단하는 시스템. It does not follow the best practice of programming. The app will feature an agent (LLM) that determines when to utilize external tools, such as fetching weather information, to fulfill user requests. The core logic, defined in src/react_agent/graph. 1 Summary: Building stateful, multi-actor applications with LLMs Home-page: https Mar 12, 2025 · When using the create_react_agent, it happens often that I let my agent use its tools and provide me an answer in natural language before converting it into a structured response. Hierarchical systems are a type of multi-agent architecture where specialized agents are coordinated by a central supervisor agent. lower() or "san francisco" in query. 🤖 Create a supervisor agent to orchestrate multiple specialized agents 🛠️ Tool-based agent handoff mechanism for communication between agents 📝 Flexible message history management for conversation control This library is built on top of LangGraph, a powerful framework for building agent applications, and comes with out-of-box support for streaming, short-term and long-term memory 案例简介 本文是系列文章的第3篇，目标是在第一篇的基础上，增加一个简单的 System Prompt 功能 搬运来源， Create a ReAct agent 关键代码： prompt = "Respond in Italian" # 定义图 from langgraph. prebuilt Nov 16, 2024 · 1 代码实现 1. client. prebuilt package?. display import Image, display Jun 27, 2025 · Creating agents with multiple tools Exploring prebuilt agent scaffolds like create_react_agent Building a custom agent using StateGraph Explaining each step and component along the way Mar 3, 2025 · ImportError: cannot import name 'create_react_agent' from 'langgraph. One potential solution is to move prompt inside the function. However, it might limit the reuse Nov 21, 2024 · 因此，在使用LangGraph时，建议关注其最新的文档和更新。 尽管如此，LangGraph的核心设计理念和封装思路仍然非常值得学习和借鉴。 随着AI技术的不断进步，我们可以期待LangGraph在未来会提供更多强大和易用的功能，进一步简化智能Agent的开发过程。. However, if the final answer in natural language is in the last message, we are excluding it with the very first line of code within the functions. I used the GitHub search to find a similar question and di 本指南将展示如何将人机回路流程添加到预构建的 ReAct 代理。请参阅 此教程，了解如何开始使用预构建的 ReAct 代理 您可以通过将 interrupt_before=["tools"] 传递给 create_react_agent，在调用工具之前添加断点。请注意，您需要使用检查点程序才能使其工作。 设置 首先，让我们安装所需的软件包并设置我们 Feb 1, 2025 · import os from langgraph. This guide shows how to implement ReAct agent from scratch using LangGraph. Parameters: This guide demonstrates how to implement a ReAct agent using the LangGraph Functional API. It makes it easier to build complex agent architectures. 使用预置的 ReAct 代理 create_react_agent 是一个很好的入门方式，但有时您可能需要更多的控制和定制。 在这种情况下，您可以创建自定义的 ReAct 代理。 本指南展示了如何使用 LangGraph 从头开始实现 ReAct 代理。 设置 首先，让我们安装所需的软件包并设置我们的 API Jul 4, 2025 · The first generation of ReAct agents used a prompt technique of “Thought, Action, Observation”. iyn yewkbsg erwwq oglz mxpmdty wat qiyuejy abcluo vqkfm qhyoxr