Launch the ReAct agent locally: Use the tool server URL and API key to launch the ReAct agent locally. Deploy on LangGraph Cloud: Follow the tutorial here: https://langchain-ai.github.io/langgraph/cloud/quick_start/, but fork this repository instead of the regular react agent template. De...
LangGraph template for a simple ReAct agent. Contribute to langchain-ai/react-agent development by creating an account on GitHub.
二、Langchain提供的Zero-shot ReAct Agent 三、关于”玩转Langchain“ 上节链接: Langchain Chain Agent - 不同类型的Agent (zsxq.com) 在上一节,我们介绍了 Langchain Agent模块提供的两大类Agent,它们分别有不同的行动逻辑,但都能完成分析问题、使用工具、输出结果的功能。 在本节,我们将介绍Action agents类...
5.2 根据LangChain+通义千问构建Agent 根据前面申请的通义千问KEY和LangChain调用LLMChain获取Agent模型调用。 新建agent02.py文件: import os from langchain_community.tools.tavily_search import TavilySearchResults from langgraph.prebuilt import create_react_agent from langchain_community.llms import Tongyi...
Zero-shot ReAct Agent是一种语言生成模型,即使不经过特定数据的训练,也可以创建真实的上下文。它可以用于各种任务,如生成创造性的文本格式、语言翻译和生成不同类型的创造性内容。 from langchain.agents import initialize_agent, load_tools, AgentType from langchain.llms import OpenAI llm = OpenAI(openai_api...
github.com/langchain-a… Agent类型 LangChain中有一个Agent的概念,就是通过创建一个Agent来去将任务拆解为Chain(链)的形式,帮你去进行工具调用,执行任务。 其中有一个Agent的类型为Structured input ReAct, 该类型是一个支持多输入的工具的类型,可以针对拆解出的任务逐步调用不同的工具完成一个复杂的...
ReAct: 结合推理(Reasoning)和行动(Action),动态与环境交互。简单的理解就是: 推理+动作。 Reflexion: 让 AI Agent 具备动态记忆和自我反思能力以提高推理能力的框架。简单的理解就是: 重复步骤(记忆+推理+动作)。 Hindsight: 利用已知结果优化过去决策,从失败经验中学习。简单理解就是: 根据已知结果...
from langchain.agents import AgentExecutor, create_react_agent from langchain_community.tools.tavily_search import TavilySearchResults from langchain_openai import OpenAI tools = [TavilySearchResults(max_results=1)] # Get the prompt to use - you can modify this!
ReAct Agents Overview ReAct agents in LangChain are designed to handle natural language inputs, process them, and determine the appropriate actions to take using a set of integrated tools. The agent operates by maintaining an internal state and iteratively performing actions based on the input and...
A template that deploys a ReAct agent with access to an [open-tool-server](https://github.com/langchain-ai/open-tool-server/). ## Getting Started 1. Deploy the LangChain Tool Server with configured tools. 2. Launch the ReAct agent with the `TOOL_SERVER_URL` environment variable set to...