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. for example: from langchain. LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents. tools import tool, ToolRuntime from langgraph. agents import AgentState, create_agent from langchain. Your community starts here. 4，2. They support continuous improvement, pre-deployment testing, structured experiments, flexible evaluation, and seamless integration with frameworks like LangChain and LlamaIndex. 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 A practical guide to structured outputs in LangChain v1 If your prompts still include “Please return your answer as JSON”, it’s time to stop. Jan 13, 2026 · This document details the tool system architecture used throughout the email assistant implementations. 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. It involves linking multiple prompts in a logical sequence, where the output of one prompt serves as the input for the next. . com/). Personal AI Assistant with Tools -LangChain agents, tool calling (calculator, search, file readers) -Tech Stack: LangChain Agents, OpenAI, SerpAPI, Python -Skills: Multi-step reasoning, agent actions, chaining 4. types import Command from typing_extensions import NotRequired # 1. agents in recent version. from_template("Tell me about {topic}") model = ChatOpenAI() chain = prompt | model # Invoke with config result = chain Jan 6, 2026 · AI Framework Integration LangChain Integration LangChain provides MCP tool integration through the langchain-mcp package: Framework: rectalogic/langchain-mcp (Python) This integration enables: Automatic conversion of MCP tools to LangChain tools Use of MCP servers within LangChain agents Seamless integration with LangChain's agent frameworks To stream agent progress, use the stream or astream methods with stream_mode="updates". tl;dr LangChain v1 refines and standardizes with_structured_output so it works consistently across providers that support it and falls back to tool calling elsewhere. Under the hood, tools are callable functions with well-defined inputs and outputs that get passed to a chat model. For questions, please use the LangChain Forum (https://forum. 0 and LangGraph 1. 1 day ago · Integrating Oracle Cloud Infrastructure (OCI) Generative AI with LangChain unlocks powerful Tagged with langchain, ocigenai, oracledatabase23ai, rag. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. runnables import RunnableConfig # Create config with callbacks config = RunnableConfig(callbacks=[handler]) # Use with LCEL chains from langchain_core. 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. Instead of calling a model directly, you can Powerful tools including open source LLMs, the Langchain tools ecosystem, and standardized protocols like MCP are driving this new gold rush. I added a very descriptive Jan 13, 2026 · LangChain has moved its LangSmith Agent Builder from public beta to general availability, roughly six weeks after launching the no-code AI agent platform in early December 2025. That is exactly where LangChain fits. This book will help you earn your seat at the table. Prompt chaining is a foundational concept in building advanced workflows using large language models (LLMs). It provides a standard interface for integrating with other tools and end-to-end chains for common applications. Jul 6, 2025 · LangChain is a modular, open-source Python framework to simplify the building of advanced LLM applications. 22 hours ago · I’m trying AI Agent in LangChain and build a very basic agent with HuggingFace free model. Its modular design allowed the team to integrate multiple model providers and build on a standard interface instead of rolling out their own. LangChain agents can use tools defined on MCP servers using the langchain-mcp-adapters library. AI Agents and Applications is your hands-on guide to developing cutting-edge language model solutions for real business needs. messages import AIMessage, ToolMessage from langchain. It runs on LangGraph under the hood and supports the ReAct loop for tool calling. 22 hours ago · from typing import Literal from langchain. It provides standardized interfaces for models, embeddings, vector stores, tools, and memory. Share solutions, influence AWS product development, and access useful content that accelerates your growth. You’ll only see the tools that are compatible with the provider and model you’ve chosen. Deep Agents is an agent harness built on langchain and langgraph. 2+ and is not available in langchain. 22 hours ago · Subagent middleware - adds the task tool, allowing the main agent to delegate work to subagents with isolated context and their own prompts/tools. 0 achieving stable releases. May 29, 2024 · Tool calling agents in langchian can be defined with the function: It takes as input a LLM and the tools you defined combined with a prompt template, there’s an example in the langchain Jun 29, 2025 · Every core component in LangChain – from your prompts to your LLMs and output parsers – implements the Runnable protocol, making them perfectly compatible with this chaining mechanism. Contribute to patterns-ai-core/langchainrb development by creating an account on GitHub. LangChain controversially calls this a "quasi-multi-agent architecture. Model Context Protocol (MCP) is an open protocol that standardizes how applications provide tools and context to LLMs. The LangChain ecosystem has reached a pivotal milestone in 2025 with both LangChain 1. This is what makes Deep Agents feel “pre-wired” without introducing a new runtime. 1 day ago · Why LangChain and LangGraph Remote chose LangChain because its ecosystem offers mature abstractions for prompt handling and tool invocation. The agent loads specialized prompts and knowledge on-demand rather than managing multiple agent instances. 4 days ago · LangChain is the easiest way to start building agents and applications powered by LLMs. Build LLM-powered applications in Ruby. Jan 13, 2026 · create_tool_calling_agent was removed in LangChain v0. In the tool section, select the built-in tool you want to use. tools import tool from langchain. Can be used as a decorator with or without arguments to create tools from functions. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped 22 hours ago · Subagent middleware - adds the task tool, allowing the main agent to delegate work to subagents with isolated context and their own prompts/tools. Apr 11, 2024 · LangChain is a popular framework for creating LLM-powered apps. To add a tool to your prompt, click the + Tool button at the bottom of the prompt editor. Convert Python functions and Runnables to LangChain tools. 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. This emits an event after every agent step. AI teams at Replit, Clay, Rippling, Cloudflare, Workday, and more trust LangChain’s products to engineer reliable agents. from langchain_core. This project creates an intelligent chatbot that can interact with Workato's MCP server to query customer data, retrieve 4 days ago · You have to manage prompts, memory, tools, retrieval, structured outputs, retries, streaming, observability, and cost or latency controls. LangChain is a framework for building agents and LLM-powered applications. LLM Playground is a tool for testing and iterating on your prompts and model configurations, shortening the feedback loop and accelerating development. Compare features, prices, and use cases to find the best alternative to LangChain for your needs. What is Langchain? LangChain is a framework for developing applications powered by language models. LangChain is the platform for agent engineering. agents instead, which is the new standard for building tool-calling agents in LangChain v1. Functions can have any signature - the tool will automatically infer input schemas unless disabled. Define state with active LlamaIndex brings together VLM-powered and an enterprise‑grade framework for building, serving, and deploying agents. 5 days ago · Skills take a lighter approach—progressive disclosure for agent capabilities. 4 days ago · A Chain in LangChain is a sequence (or pipeline) of components — like LLMs, prompts, retrievers, and tools — that work together to complete a task. graph import StateGraph, START, END from langgraph. If you want to go deeper, the linked middleware docs show the exact implementation details. Jan 9, 2026 · Learn about the best LangChain alternatives in 2026. What are we building? Elastic’s AI security assistant, built with LangSmith and LangGraph, cut alert response times for 20,000+ customers. But when I run the code I got the following error. In particular, you’ll be able to create LLM agents that use custom tools to answer user queries. 0正式开源。记得收藏哦 目录1 The LangChain ecosystem has reached a pivotal milestone in 2025 with both LangChain 1. Flowise is an open source no-code UI visual tool to build 🦜🔗LangChain applications - YouTube 5 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. This comprehensive Connect with builders who understand your journey. The tool lets users create autonomous AI agents through natural language prompts rather than traditional programming. Jan 13, 2026 · Checked other resources This is a bug, not a usage question. You can use create_agent from langchain. prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI prompt = ChatPromptTemplate. Tools extend what agents can do—letting them fetch real-time data, execute code, query external databases, and take actions in the world. Aug 22, 2025 · LangChain prompt templates are a tool that allows developers to create reusable, dynamic prompts for language models. could you help me to 3 days ago · What began as simple prompt–response interactions has grown into multi-step workflows involving retrieval systems, tool usage, autonomous agents, and long-running processes. langchain. 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. May 2, 2023 · This notebook takes you through how to use LangChain to augment an OpenAI model with access to external tools. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. Quickly get started building agents, with any model provider of your choice. The tool system provides the assistant with concrete capabilities to interact with emails, calen 22 hours ago · Easy chaining of prompts, tools, retrievers Strong community momentum Where it struggles: Hidden control flow Debugging is painful at scale Abstractions leak under complex logic Performance tuning is hard When to use LangChain MVPs Hackathons POCs Teams new to LLMs When to avoid Complex, stateful workflows Systems needing precise control or 1 day ago · Today, both LangChain and LangGraph rely on ad‑hoc PyTest patterns, manual mocks, and custom assertions. By replacing static prompts with templates that use placeholders, developers can generate more consistent and efficient outputs. See the docs for conceptual guides, tutorials, and examples on using Tools. " A conversational AI chatbot that integrates Workato's Model Context Protocol (MCP) server with LangChain, enabling natural language interactions with Workato data and tools. LangChain is an open source orchestration framework for application development using large language models (LLMs). Dec 12, 2025 · LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). " Works well for coding agents where context accumulates but capabilities stay fluid. There is no unified, first‑class testing framework that supports deterministic LLM mocking, chain/graph assertions, snapshot testing, or workflow‑level validation. It was built with these and other factors in mind, and provides a wide range of integrations with closed-source model providers (like OpenAI, Anthropic, and Google), open source models, and other third-party components like vectorstores. Let's see how this works in practice with a real-world example. After… In AI terms, LangChain lets you connect prompts, models, and tools in a straight line — ideal for quick chatbots, RAG (retrieval-augmented generation), and simple workflows.

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