Langchain Tools List. You need control, logging, retries, dynamic behaviours, caching, met

You need control, logging, retries, dynamic behaviours, caching, metrics, and enforcement of policies. The model decides when to invoke a tool based on the conversation context, and what input arguments to provide. Server-side tool use Some chat models (e. 0. Think of them as plugins or functions… Unified reference documentation for LangChain and LangGraph Python packages. Jan 9, 2026 · Learn about the best LangChain alternatives in 2026. Contribute to langchain-ai/mcpdoc development by creating an account on GitHub. tools import tool from langchain. 0 achieving stable releases. Tools are utilities designed to be called by a model: their inputs are designed to be generated by models, and their outputs are designed to be passed back to models. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. com Redirecting May 24, 2024 · Discover how LangChain empowers developers to create sophisticated AI agents by integrating with 10 powerful tools, from financial data analysis and image generation to SEO optimization and biomedical research. LangChain is a powerful and extensible framework for building applications with large language models (LLMs), integrating tools, memory, chains, agents, and data sources. from langchain_core. If the resulting AIMessage contains tool_calls, the graph will then call the tools. . This page documents the tool implementations that wrap memgraph-toolbox core tools into LangChain's BaseTool interface, and the MemgraphToolkit that bundles these tools for agent use. Ship reliable agents with our open source JS frameworks – LangChain, LangGraph, and Deep Agents. Instead of treating an LLM as a black box, LangChain lets you: Define tools the model can call Structure multi-step reasoning flows Maintain state across interactions Enable LangChain agents to make autonomous cryptocurrency payments on Solana. Dec 12, 2025 · LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). , OpenAI, Anthropic, and Gemini) feature built-in tools that are executed server-side, such as web search and code interpreters. runnables import RunnableConfig # Create config with callbacks config = RunnableConfig(callbacks=[handler]) # Use with LCEL chains from langchain_core. Among its many modules, the langchain_community. We would like to show you a description here but the site won’t allow us. 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. Tool call limit Control agent execution by limiting the number of tool calls, either globally across all tools or for specific tools. LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves LangChain provides integrations to hundreds of LLMs and thousands of other integrations. It provides a standard interface for integrating with other tools and end-to-end chains for common applications. Tools extend what agents can do—letting them fetch real-time data, execute code, query external databases, and take actions in the world. 4 days ago · 今晚20:30，想看真实效果的，晚上准点来，下方预约，开播有提醒哦！！！目前版本是1. 8, and prior to langchain versions 0. Quickly get started building agents, with any model provider of your choice. Prior to @langchain/core versions 0. AI teams at Replit, Clay, Rippling, Cloudflare, Workday, and more trust LangChain’s products to engineer reliable agents. Tools extend the capabilities of LLMs, while agents orchestrate tools to solve complex tasks intelligently. langchain. Document loaders provide a standard interface for reading data from different sources (such as Slack, Notion, or Google Drive) into LangChain’s Document format. What is Langchain? LangChain is a framework for developing applications powered by language models. LangChain ZendFi provides production-ready tools for AI agents to 1 day ago · 十、学习路径建议 第1周：掌握LangChain基础（Chains, Agents, Tools） 第2周：用LangChain构建简单智能体 第3周：学习LangGraph核心概念（StateGraph, Checkpoints） 第4周：用LangGraph重构之前的智能体 第5周+：深入LangGraph高级特性（多智能体、持久化） 总结 选择LangChain如果： 你需要快速原型 工作流主要是线性的 Buy a cheap copy of Advanced Agentic AI with LangChain, MCP, book by Howard Cull. By the end, you'll have a working Google Calendar agent that can create a meeting with the marketing team, list all events scheduled for next week, delete tomorrow’s canceled event from my calendar, update the time for friday’s project sync Deep Agents is an agent harness built on langchain and langgraph. com Redirecting This is particularly difficult when using tools that return variable-length results (for example, web_search and RAG), as long tool results can quickly fill your context window. tool_calls: tool = tools_by_name[tool_call["name"]] observation = tool. 4，2. agents import create_agent tools = [retrieve_context] # If desired, specify custom instructions prompt = ( "You have access to a tool that retrieves context from a blog post. Their framework enables you to build layered LLM-powered applications that are context-aware and able to interact dynamically with their environment as agents, leading to simplified code for you and a more dynamic user experience for your customers. LangChain is a framework for building agents and LLM-powered applications. agent_toolkits package stands out because it provides a ready-to-use collection of built-in tools that can be loaded and used with minimal setup. 2. 😎 Awesome list of tools and projects with the awesome LangChain framework - Cdaprod/awesome-langchain-public 😎 Awesome list of tools and projects with the awesome LangChain framework - jcarlosneto/LangChain-Awesome Sep 1, 2025 · LangChain is a framework for building applications with Large Language Models (LLMs). Mar 18, 2025 · Expose llms-txt to IDEs for development. May 20, 2024 · Simplifying, enhancing, and extending the LangChain library functionality Project description LangChain Tools Welcome to LangChain Tools, a Python library designed to simplify, enhance, and extend the functionality of the LangChain library. They cover various categories, such as search, code interpreter, productivity, web browsing, database, finance, and more. Limiting web searches or database queries. The LangChain ecosystem has reached a pivotal milestone in 2025 with both LangChain 1. Maintained by @LangChain. Each provider offers a variety of models with different capabilities. Jun 7, 2025 · The Top 5 LangChain Tools You Should Know LangChain offers dozens of built-in tools, but here are 5 must-know tools that will instantly level up your LLM-powered applications. Supported models LangChain supports all major model providers, including OpenAI, Anthropic, Google, Azure, AWS Bedrock, and more. Jun 29, 2025 · In LangChain, tools are like skills or abilities that an AI agent can use to perform specific tasks. invoke(tool_call["args"]) result. A toolkit is a collection of tools meant to be used together. append(ToolMessage(content=observation, tool_call_id=tool_call["id"])) return {"messages We would like to show you a description here but the site won’t allow us. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped Learn how to integrate Reddit with LangChain using the Model Context Protocol (MCP). Enforcing rate limits on specific tool usage. May 12, 2025 · In LangChain, tools act like the “arms and legs” of an agent, enabling it to interact with external systems—whether it’s performing a web search, calling an API, doing math, or querying a database. 190 Redirecting Cole Stryker Staff Editor, AI Models IBM Think LangChain overview LangChain is an open source orchestration framework for application development using large language models (LLMs). 190 Redirecting LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves from langchain. LangChain is the platform for agent engineering. Functions can have any signature - the tool will automatically infer input schemas unless disabled. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. FilesystemMiddleware provides four tools for interacting with both short-term and long-term memory: ls: List the files in the filesystem Dec 30, 2024 · Unpacking Tools and Chains with LangChain Data Mastery Series — Episode 42: LangChain Website (Part 17) Connect with me and follow our journey: Linkedin, Facebook Welcome back to the Data Welcome to LangChain — 🦜🔗 LangChain 0. 190 Redirecting Elastic’s AI security assistant, built with LangSmith and LangGraph, cut alert response times for 20,000+ customers. 0 and LangGraph 1. Tool call limits are useful for the following: Preventing excessive calls to expensive external APIs. LangChain is an open source orchestration framework for application development using large language models (LLMs). Integrations – List of LangChain integrations, including chat & embedding models, tools & toolkits, and more LangSmith – Helpful for agent evals and observability. Model Context Protocol (MCP) is an open protocol that standardizes how applications provide tools and context to LLMs. stringify (). Sep 1, 2025 · LangChain is a framework for building applications with Large Language Models (LLMs). But here’s the big question: 👉 What LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves Tools Tools give agents the ability to take actions. Step-by-step guide with Python and TypeScript code examples. For a full list of supported models in LangChain, see the integrations page. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. LangChain offers an extensive ecosystem with 1000+ integrations across chat & embedding models, tools & toolkits, document loaders, vector stores, and more. 190 Redirecting Welcome to LangChain — 🦜🔗 LangChain 0. Learn how to integrate Replicate with LangChain using the Model Context Protocol (MCP). LangChain agents can use tools defined on MCP servers using the langchain-mcp-adapters library. messages import ToolMessage def tool_node(state: dict): """Performs the tool call""" result = [] for tool_call in state["messages"][-1]. Useful for when you need to answer general questions about people, places, companies, historical events, or other subjects. Jul 6, 2025 · LangChain is a modular, open-source Python framework to simplify the building of advanced LLM applications. These providers have standalone langchain-provider packages for improved versioning Explore content of LangChain JS @LangChain_JS X profile. Great agents require context engineering: getting the right information to the model at the right time. Under the hood, tools are callable functions with well-defined inputs and outputs that get passed to a chat model. This comprehensive May 2, 2023 · What is Langchain? LangChain is a framework for developing applications powered by language models. CloudVoyager is an interactive cloud platform comparison tool that transforms the complex decision-making process of choosing between AWS, Google Cloud, and Microsoft Azure into an intuitive, visually stunning experience. In this comprehensive course, you will embark on a transformative journey through the realms of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by experts in the field. This ensures that data can be handled consistently regardless of the source. GitHub is where people build software. Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. Compare features, prices, and use cases to find the best alternative to LangChain for your needs. If the LLM is the raw intellect, Middleware is the Executive Function. - Ton-Git/github-copilot-api-vscode-bk Implementation Hospital Database with the help of MCP Server , langchain , agents and tools - shubhamdhiman-crossml/MCP_Assignment Here are the Top 7 Python Frameworks every developer must know in 2025! From LangChain to SuperAGI – these tools are changing the AI game 🤯💻 🚀 Learn, build, and innovate faster than ever! Save this reel for later & share it with your dev squad! 👨‍💻 Comment “AI 🔥” if you want a Part 2! Dec 26, 2025 · Explore AI Agent Frameworks like Langchain, CrewAI, and Microsoft Semantic Kernel. 3 days ago · LangChain is the easiest way to start building agents and applications powered by LLMs. It is the part of the brain responsible for self-regulation, safety checks, and memory management. To stream agent progress, use the stream or astream methods with stream_mode="updates". 0正式开源。记得收藏哦 目录1 2 days ago · When building real-world agent systems, you often need more than the default agent pipeline. In this course, you will embark on a journey through a diverse range of projects designed to deepen your Welcome to LangChain — 🦜🔗 LangChain 0. Available in both Python- and Javascript-based libraries, LangChain’s tools and APIs simplify the process of building LLM-driven applications like chatbots and AI Feb 16, 2025 · LangChain, an open-source framework, has emerged as a powerful tool for developing applications that integrate language models with external tools, knowledge bases, and APIs. com Redirecting Aug 3, 2024 · Langchain Tools are designed to fit seamlessly into the Langchain framework, providing a cohesive environment for developing and deploying NLP and ML applications. messages import HumanMessage from langchain_google_genai import ChatGoogleGenerativeAI # Define the tool @tool(description="Get the current weather in a given location") def get_weather(location: str) -> str: return "It's sunny. Free Shipping on all orders over $15. Agents go beyond simple model-only tool binding by facilitating: Multiple tool calls in sequence (triggered by a single prompt) Parallel tool calls when appropriate Dynamic tool selection based on previous results Tool retry logic and error handling State persistence across tool calls from langchain. 5 days ago · In this blog post, we’ll explore the core components of LangChain, specifically focusing on its powerful tools and agents that make it a game-changer for developers and businesses alike. May 2, 2023 · This notebook takes you through how to use LangChain to augment an OpenAI model with access to external tools. This page provides an overview of the core tools architecture and the various tool categories available in LangChain. Middleware helps you control dynamic prompts, conversation summarization, selective tool access, state management, and guardrails through a LangChainTool CrewAI seamlessly integrates with LangChain’s comprehensive list of tools, all of which can be used with CrewAI. Sep 23, 2025 · LangChain is one of the most popular frameworks for building LLM-powered applications, and its true power comes from the ability to extend agents with tools. 80 and 1. 1. The agent node then calls the language model again. Tools: External functions, APIs or logic that an agent can call. 1 day ago · Around tool execution: Deciding whether a tool is actually safe to run, or retrying it automatically if it fails. | Muskviewer 18 hours ago · 文章浏览阅读186次，点赞4次，收藏4次。LangChain的代理生态系统通过将大语言模型 (LLM)的认知能力与工具库的执行功能相结合，构建出可自主行动的智能体系统。该系统包含三大核心组件：Agent作为决策大脑负责意图识别和任务规划，Tools作为执行工具提供具体操作能力，Environment则作为交互对象产生 LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents. Available in both Python- and Javascript-based libraries, LangChain’s tools and APIs simplify the process of building LLM-driven applications like chatbots and AI agents. For example, if you have an agent that calls a tool once, you should see the following updates: LLM node: AIMessage with tool call requests Tool node: ToolMessage with execution result LLM node: Final AI response Jan 6, 2026 · LangChain Tools and Toolkit Relevant source files The LangChain integration provides a set of tools and a toolkit for using Memgraph with LangChain agents and chains. 37 and 1. " from langchain. The tools node executes the tools and adds the responses to the messages list as ToolMessage objects. Refer to the provider overview to learn how to access these tools with your specific chat model. Unlock GitHub Copilot as a local API Gateway. A provider is a third-party service or platform that LangChain integrates with to access AI capabilities like chat models, embeddings, and vector stores. It ensures the problem is solved safely, reliably, and 更易于交互和维护：通过 LangChain，你可以更方便地管理和维护你的工具和模型。 LangChain 提供的工具和代理（Agent）抽象使得开发者可以将关注点从底层实现细节转 向实现应用的高层逻辑。 而且，LangChain 封装了像模型的加载、输入输出的处理、工具 Convert Python functions and Runnables to LangChain tools. from_template("Tell me about {topic}") model = ChatOpenAI() chain = prompt | model # Invoke with config result = chain This guide walks you through connecting Google Calendar to LangChain using the Composio tool router. It provides standardized interfaces for models, embeddings, vector stores, tools, and memory. After years of rapid iteration and community feedback, these frameworks have evolved from experimental tools into production-ready platforms powering mission-critical AI applications at companies like Uber, LinkedIn, Klarna, and JP Morgan. Learn how to integrate Airtable with LangChain using the Model Context Protocol (MCP). LangChain Tools are utilities designed to be called by a model, such as a language model or an agent. 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 provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents. tools import create_code_interpreter_toolkit # Create toolkit and get tools (async) toolkit, code_tools = await create_code_interpreter_toolkit(region="us-west-2") LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. In particular, you’ll be able to create LLM agents that use custom tools to answer user queries. prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI prompt = ChatPromptTemplate. May 16, 2025 · Relevant source files Overview The LangChain ecosystem provides a rich collection of tools and utilities that enable AI systems to interact with external services, process and transform data, and perform specialized operations. Advanced Agentic AI with LangChain, MCP, RAG, and Ollama is your complete guide to building high-performance AI agents that think, plan, and act with autonomy. python. mcp-use is the easiest way to interact with mcp servers with custom agents - mcp-use/mcp-use 2 days ago · What Is LangChain? LangChain is a framework for building applications around large language models that go beyond simple prompt → response interactions. Middleware Middleware is the defining feature of create_agent. These live in independent provider packages. All document loaders implement the BaseLoader interface. Understand their key importance in AI development. Its core components are Tools and Agents. It offers a highly customizable entry-point, raising the ceiling for what you can build. Welcome to LangChain — 🦜🔗 LangChain 0. Whether you’re a seasoned developer or just starting, LangChain provides the tools and resources you need to build powerful language model applications. 3. Use Copilot with Cursor, LangChain, and any OpenAI-compatible tool. This emits an event after every agent step. g. Tool Description: A wrapper around Wikipedia. com Redirecting The agent node calls the language model with the messages list (after applying the system prompt). 190 Redirecting Jun 28, 2025 · A curated list of resources, tools, examples, and projects using LangChain, the framework for developing applications powered by language models. from langchain_aws. 3, a serialization injection vulnerability exists in LangChain JS's toJSON () method (and subsequently when string-ifying objects using JSON. Can be used as a decorator with or without arguments to create tools from functions. Dec 23, 2025 · Description LangChain is a framework for building LLM-powered applications.

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