Langchain action agent. Apr 3, 2023 · Rather, we consider this the base abstraction for a family of agents that predicts a single action at a time. """ from __future__ import annotations import asyncio import builtins import contextlib import json import logging import time from abc import abstractmethod from collections. Class hierarchy: The core idea of agents is to use a language model to choose a sequence of actions to take. The log is used to pass along extra information about the action. LangChain is a framework for developing applications powered by large language models (LLMs). In this tutorial we Jun 25, 2025 · Secure LangChain Tool Calling with Python, FastAPI, and Auth0 Authentication Learn how to build a secure tool-calling AI agent using LangChain, FastAPI, and Python. Continuously improve your application with LangSmith's tools for LLM observability, evaluation, and prompt engineering. Parameters: tool – The name of the tool to execute. Jan 7, 2024 · LangChain also has another concept called Agent, that we can use to interpret the input from the user and determine which tool or tools to use to complete the task. agents # Agent is a class that uses an LLM to choose a sequence of actions to take. Learn the essentials of LangSmith — our platform for LLM application development, whether you're building with LangChain or not. 开发：使用 LangChain 的开源 组件 和 第三方集成 构建您的应用程序。 使用 LangGraph 来构建支持一流流式传输和人工干预的有状态智能体。 生产化：使用 LangSmith 来检查、监控和评估您的应用程序，以便您可以持续优化并自信地部署。 部署：使用 LangGraph Platform 将您的 LangGraph 应用程序转化为可用于生产的 API 和助手。 LangChain 为大型语言模型及相关技术（如嵌入模型和向量存储）实现了标准接口，并集成了数百家提供商。 有关更多信息，请参阅 集成 页面。. tool_input – The Sep 18, 2024 · This is the most basic type of Langchain Agent, ideal for simple tasks where the agent doesn’t need previous context or planning. They enable LLMs to choose actions, call tools, and perform reasoning steps dynamically — like autonomous copilots for your applications. Learn how to build 3 types of planning agents in LangGraph in this post. Feb 13, 2024 · Plan and execute agents promise faster, cheaper, and more performant task execution over previous agent designs. You’ll learn how to protect a FastAPI API with Auth0 and to implement agent frontend that uses LangChain tool calling to interact with it securely. Actions can include: Calling tools (APIs, functions, databases Jan 19, 2025 · A deep dive into LangChain's Agent Executor, exploring how to build your custom agent execution loop in LangChain v0. Agents select and use Tools and Toolkits for actions. 3. A SingleActionAgent is used in an our current AgentExecutor. This is often achieved via tool-calling. In Chains, a sequence of actions is hardcoded. Jul 23, 2025 · LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). AgentAction # class langchain_core. The action consists of the name of the tool to execute and the input to pass to the tool. abc import AsyncIterator, Iterator, Sequence from pathlib import Path from typing import ( Any LangChain's products work seamlessly together to provide an integrated solution for every step of the application development journey. Create an AgentAction. It handles direct user requests in a single action. 🤖 What Is an Agent in LangChain? An Agent uses an LLM to decide what action to take based on the input and intermediate results. """Chain that takes in an input and produces an action and action input. LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source components and third-party integrations. May 28, 2025 · Agents are the most powerful abstraction in LangChain. After executing actions, the results can be fed back into the LLM to determine whether more actions are needed, or whether it is okay to finish. We are excited to announce the launch of the LangChainHub, a place where you can find and submit commonly used prompts, chains, agents, and more! This obviously draws a lot of inspiration from Hugging Face's Hub, which we believe has done an incredible job of fostering an amazing community. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves. LangChain 是一个用于开发由语言模型驱动的应用程序的框架。 我们相信，最强大和不同的应用程序不仅将通过 API 调用语言模型，还将： 数据感知：将语言模型与其他数据源连接在一起。 主动性：允许语言模型与其环境进行交互。 因此，LangChain 框架的设计目标是为了实现这些类型的应用程序。 组件：LangChain 为处理语言模型所需的组件提供模块化的抽象。 LangChain 还为所有这些抽象提供了实现的集合。 这些组件旨在易于使用，无论您是否使用 LangChain 框架的其余部分。 用例特定链：链可以被看作是以特定方式组装这些组件，以便最好地完成特定用例。 这旨在成为一个更高级别的接口，使人们可以轻松地开始特定的用例。 这些链也旨在可定制化。 LangChain is a framework for building LLM-powered applications. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. Jul 1, 2025 · Learn how LangChain agents use reasoning-action loops to tackle complex tasks, integrate tools, and refine outputs in real time. AgentAction [source] # Bases: Serializable Represents a request to execute an action by an agent. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. Jun 17, 2025 · Build an Agent 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. LangChain 是一个用于开发由大型语言模型（LLMs）驱动的应用程序的框架。 LangChain 简化了 LLM 应用程序生命周期的每个阶段. It provides a standard interface for chains, many integrations with other tools, and end-to-end chains for common applications. When you use all LangChain products, you'll build better, get to production quicker, and grow visibility -- all with less set up and friction. agents. hzdl glwji sgoae vakw xzsva isg foegh swyi biha nvl
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