Langchain agent types github. To improve your LLM application development, pair LangChain with: LangSmith - Helpful for agent evals and observability. LangGraph offers a more flexible and full-featured framework for building agents, including support for tool-calling, persistence of state, and human-in-the-loop workflows. An agent that breaks down a complex question into a series of simpler questions. agents. This repository is a practical resource for learning, experimenting, and creating LLM-powered applications using LangChain. LangChain Agents and Workflows 馃殌 A hands-on collection of projects demonstrating the power of the LangChain framework to build AI-driven workflows and intelligent agents. This document explains the purpose of the protocol and makes the case for each of the endpoints in the spec. I have some custom tools and created a chatbot. py, finance_agent. agents import load_tools from langchain. py). Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. Having an LLM call multiple tools at the same time can greatly speed up agents whether there are tasks that are assisted by doing so. It's suitable for scenarios where an immediate response is required without prior training. LangChain’s ecosystem While the LangChain framework can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools when building LLM applications. Was trying to create an agent that has 2 routes (The first one being an LLMChain and the second being a ConversationalRelationChain). py, math_agent. 馃馃敆 Build context-aware reasoning applications. URL https://python. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. This agent uses a search tool to look up answers to the simpler questions in order to answer the original complex question. note Apr 4, 2023 路 when I follow the guide of agent part to run the code below: from langchain. For details, refer to the LangGraph documentation as well as guides for Migrating from AgentExecutor and LangGraph’s Pre-built ReAct agent. html Checklist I added a very descriptive title to this issue. Each agent is implemented in a separate Python file (music_agent. Contribute to langchain-ai/langchain development by creating an account on GitHub. agent_types import AgentType Dec 21, 2023 路 Hello Everyone, I am using LLAMA 2 70 B and Langchain . Open Agent Platform is a no-code agent building platform. Dec 9, 2024 路 An agent that breaks down a complex question into a series of simpler questions. These agents can be connected to a wide range of tools, RAG servers, and even other agents through an Agent Supervisor! Open Agent Platform provides a modern, web-based interface for creating, managing, and interacting with LangGraph agents. The first issue was that each one expected a different type of input. agent_types. It works fine . To read more about how the interrupt function works, see the LangGraph documentation: conceptual guide how-to guide (TypeScript docs coming soon, but the concepts & implementation are the same). I want to use mlflow. Here's a brief overview: ZERO_SHOT_REACT_DESCRIPTION: This is a zero-shot agent that performs a reasoning step before acting. com/api_reference/langchain/agents/langchain. Nov 4, 2023 路 In the LangChain framework, each AgentType is designed for different scenarios. Jul 20, 2023 路 I just realized that using routing with different type of agents or chains is simply impossible (at least for now). You can run these files individually to interact with the respective agents. langchain. However, it is much more challenging for LLMs to do this, so some agent types do not support this. Check out some other full examples of apps that utilize LangChain + Streamlit: Auto-graph - Build knowledge graphs from user-input text (Source code) Web Explorer - Retrieve and summarize insights from the web (Source code) LangChain Teacher - Learn LangChain from an LLM tutor (Source code) Text Splitter Playground - Play with various types of text splitting for RAG (Source code) Tweet . To use the Agent Inbox, you'll have to use the interrupt function, instead of raising a NodeInterrupt exception in your codebase. I found the below Jun 17, 2025 路 LangChain supports the creation of agents, or systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. Feb 16, 2025 路 Types of LangChain Agents Reactive Agents — Select and execute tools based on user input without long-term memory. Agent Protocol is our attempt at codifying the framework-agnostic APIs that are needed to serve LLM agents in production. log_model and log the model. AgentType. agents import initialize_agent from langchain. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. zlcdjt rdjwq wwkb pxjk bpzd pmyzxmnf exicq nywt azqwgr vzd