LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents. These providers have standalone langchain-provider packages for improved versioning python. ). Description Fixes #9816 This PR resolves a bug where tool_calls becomes an empty array after concatenating streamed chunks when using ChatOpenAI with the Responses API and reasoning output from mod Jan 10, 2026 · This page demonstrates fundamental patterns for deploying LangChain runnables using LangServe. OpenAI is an artificial intelligence (AI) research laboratory. Learn how LangSmith improves the reliability, observability, and performance of AI applications. 2 days ago · ① 使用 OpenAI Agents API （最简单） 通过 tools 连接：搜索、Python 代码执行、API 调用 几行代码即可达成「浏览网页 + 整理报告」类复杂任务 ② 使用 LangChain Agent （生态丰富） 重点学习： ReAct Agent Tool & Toolkits AgentExecutor ③ 使用 AutoGen （多 Agent 协作） 实现： Get a Custom Multimodal RAG Application Developed with OpenAI and LangChain from Top rated Upwork Freelancer Bechir B with 100% job success rate. 📖 Documentation For full documentation, see the API reference. com Redirecting We would like to show you a description here but the site won’t allow us. 注：本文是我2026年AI学习计划的一部分。 参考 我的2026年AI Agent学习计划：从框架进阶到企业应用 当开发者花 80% 的时间在基础设施而非 AI 逻辑时，一个框架能否改变游戏规则？ LangChain 和 LangGraph 正是为解… 4 days ago · Debug, trace, and evaluate LLM agents with LangSmith. python. LangChain Core: The main framework for chains, prompts, and python. The LangChain Ecosystem LangChain is not just one library. Whether you're working with Claude, OpenAI, or LangChain, this book shows you how to design and deploy context-aware agents that don't just answer questions but take meaningful action. Perform reasoning and decision-making tasks using tools. embeddings. 0 in 2025. By implementing a simple weather agent across the OpenAI SDK, OpenAI Agents SDK, LangChain, LangGraph, and the Microsoft Agent Framework. We would like to show you a description here but the site won’t allow us. 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. Today, we will build a Deep Agents powered job search assistant and connect it to a live Build resilient language agents as graphs. You get an AI assistant that can read your knowledge, return grounded answers, trigger workflows and fit into your product or internal tools. , OpenAI, Cohere, Hugging Face) via the Embeddings interface. What’s new is tighter integration and consistent behavior across providers and the agent loop, making it the paved road for structured outputs. LangChain offers an extensive ecosystem with 1000+ integrations across chat & embedding models, tools & toolkits, document loaders, vector stores, and more. This project delivers tailored AI solutions capable of performing complex tasks, automating workflows, and providing intelligent decision support. With LangChain and Azure OpenAI, you’re not just building chatbots — you’re creating powerful digital agents that understand and do. Architecture, integration patterns, and production readiness guide. Deep agents is built on top of: LangGraph - Provides the underlying graph execution and state management LangChain - Tools and model integrations work seamlessly with deep agents LangSmith - Observability, evaluation, and deployment Deep agents applications can be deployed via LangSmith Deployment and monitored with LangSmith Observability. 🍊YC W23 - GitHub - langfuse/langfuse: 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. AI teams at Replit, Clay, Rippling, Cloudflare, Workday, and more trust LangChain’s products to engineer reliable agents. Runs that match a particular piece of metadata (e. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. , OpenAI, Anthropic, and Gemini) feature built-in tools that are executed server-side, such as web search and code interpreters. LangChain provides integrations to hundreds of LLMs and thousands of other integrations. from langchain. messages import ToolMessage def tool_node(state: dict): """Performs the tool call""" result = [] for tool_call in state["messages"][-1]. Two main methods are available: Next-Level Automation: Data Agents In LlamaIndex Module 3 Introduction - Retrieval Augmented Generation Agents LangChain Overview: Agents, Tools, and OpenGPT Introduction LlamaIndex RAG-AGENT: Query and Summarize Over Database Crafting AI Assistants via OpenAI and Hugging Face API Smart Shopping Assistant with Deep Lake & LlamaIndex - Introduction Unified reference documentation for LangChain and LangGraph Python packages. pdf), Text File (. But connecting that agent to a real frontend is still surprisingly hard. Langchain Patterns Report - Free download as PDF File (. For detailed documentation on OpenAI features and configuration options, please refer to the API reference. langchain. 0框架下MCP调用流程，包括官方示例、百度地图MCP对接、DeepSeek模型JSON反序列化报错解决方案，以及异步MCP工具与同步人机交互中间件的兼容实现。提供完整代码示例，帮助开发者快速上手并解决常见问题。 Supported models LangChain supports all major model providers, including OpenAI, Anthropic, Google, Azure, AWS Bedrock, and more. LangChain agents can use tools defined on MCP servers using the langchain-mcp-adapters library. g. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. Message types System message - Tells the model how to behave and provide context for interactions Human message - Represents user input and interactions with the model AI message - Responses generated by the model, including text content, tool calls, and metadata Tool message - Represents the outputs of tool calls Feb 25, 2023 · Building a Web Application using OpenAI GPT3 Language model and LangChain’s SimpleSequentialChain within a Streamlit front-end Separately, LangChain provides dedicated content types for text, reasoning, citations, multi-modal data, server-side tool calls, and other message content. Unlock GitHub Copilot as a local API Gateway. 32 supports a parallel_tool_calls parameter that defaults to True. 2 Create tools Tools let a model interact with external systems by calling functions you define. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks. Refer to the provider overview to learn how to access these tools with your specific chat model. py with this code: from langchain. neo4j_vector import Neo4jVector from langchain. tool_calls: tool = tools_by_name[tool_call["name"]] observation = tool. Step-by-step guide with Python and TypeScript code examples. com Redirecting Welcome to LangChain — 🦜🔗 LangChain 0. docs Public 🦜🔗 Docs for LangChain projects MDX 191 MIT 1,685 168 77 Updated 3 hours ago deepagents Public Deep Agents is an agent harness built on langchain and langgraph. 0. Dec 8, 2023 · It’s important to note that Langchain adds a pre-processing step, so the embeddings will slightly differ from those generated directly with the OpenAI embeddings API. js. Welcome to LangChain — 🦜🔗 LangChain 0. Server-side tool use Some chat models (e. These live in independent provider packages. Apr 10, 2025 · Tool calling bridges the gap between language and action. Multi-agent systems coordinate specialized components to tackle complex workflows. tools import Jan 4, 2026 · MCP (Linux Foundation standard), LangChain, and CrewAI compared for AI agents. These tools can be bound to ChatOpenAI using bindTools() or createAgent. com Redirecting Jan 7, 2026 · An integration package connecting OpenAI and LangChain langchain-openai Looking for the JS/TS version? Check out LangChain. Notice below how the get_user_location tool uses runtime context: The @langchain/openai package provides LangChain-compatible wrappers for OpenAI’s built-in tools. 190 Redirecting Chat completions API Certain model providers offer endpoints that are compatible with OpenAI’s (legacy) Chat Completions API. 1 day ago · 文章浏览阅读213次，点赞2次，收藏3次。本文详解LangChain 1. Jan 9, 2026 · Learn about the best LangChain alternatives in 2026. A provider is a third-party service or platform that LangChain integrates with to access AI capabilities like chat models, embeddings, and vector stores. After… Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. This will help you get started with OpenAI completion models (LLMs) using LangChain. Apr 11, 2024 · LangChain already has a create_openai_tools_agent() constructor that makes it easy to build an agent with tool-calling models that adhere to the OpenAI tool-calling API, but this won’t work for models like Anthropic and Gemini. It’s particularly useful for creating modular and reusable components, such as agents, that can: Execute Python code. openai import OpenAIEmbeddings embeddings_model = "text-embedding-3-small" Model Context Protocol (MCP) is an open protocol that standardizes how applications provide tools and context to LLMs. append(ToolMessage(content=observation, tool_call_id=tool_call["id"])) return {"messages . agents import AgentType from langchain_openai import ChatOpenAI from langchain_community. 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. Compare features, prices, and use cases to find the best alternative to LangChain for your needs. LangChain 代码库架构指南本文档为有经验的开发人员提供 LangChain 代码库的架构概览和代码阅读顺序建议。 整体架构LangChain 采用 分层 Monorepo 架构，核心设计理念是：┌──────────────────… I build a custom RAG agent using Pinecone or Supabase vectors for search, LangChain for logic, OpenAI for reasoning, FastAPI for a clean API layer, and n8n for automations that talk to your apps. May 2, 2023 · This notebook takes you through how to use LangChain to augment an OpenAI model with access to external tools. These providers have standalone langchain-provider packages for improved versioning Welcome to LangChain — 🦜🔗 LangChain 0. For conceptual guides, tutorials, and examples on using 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 Parallel tool calls openai >= 1. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs. txt) or read online for free. - Ton-Git/github-copilot-api-vscode-bk Nov 29, 2025 · Build powerful AI agents with LangChain 2. 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. Contribute to langchain-ai/langgraph development by creating an account on GitHub. vectorstores. LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications. See content blocks below. Use Copilot with Cursor, LangChain, and any OpenAI-compatible tool. For the traditional Azure-specific implementation, continue to use AzureChatOpenAI. This provides a unified way to use OpenAI models whether hosted on OpenAI or Azure. The @langchain/openai package provides LangChain-compatible wrappers for OpenAI’s built-in tools. Quick Install pip install langchain-openai 🤔 What is this? This package contains the LangChain integrations for OpenAI through their openai SDK. tools import tool Fiverr freelancer will provide AI Development services and build production ai chatbot, rag system, llm agents with langchain openai including Source Code within 3 days from langchain_openai import ChatOpenAI load_dotenv() async def research_with_context(): llm = ChatOpenAI(model="gpt-4o") # System message gives the agent persistent knowledge system_message = """ You are a research assistant helping a software engineer. if you log traces with a plan_type and only want to run evaluations on traces from your enterprise customers). LangChain provides a standard interface for text embedding models (e. Enable LangChain and LlamaIndex support for local LLMs with this Claude Code skill. Analyze and interact with data files. Tools and toolkits Dall-E Image Generator Text-to-image generation using OpenAI’s Dall-E models. 1k次，点赞10次，收藏18次。本文提供了一个完整的LangChain实战入门指南，包含以下核心内容： 环境准备：详细介绍了Python安装、VSCode配置、项目目录结构创建和虚拟环境设置 基础配置：包括依赖包安装、API密钥配置和第一个LangChain程序实现 进阶功能：构建带记忆的聊天机器人、文档 21 hours ago · OpenAI, Full-stack, Back-end, Front-end, APIs, FastAPI, API Integration, Full-stack Development, Agentic AI, Cursor AI, LangChain, Agentic RAG Systems, RAG Architecture, RAG Pipelines, Qdrant, Supabase, Large Language Models (LLMs), AI Chatbots, AI Tools, AI Agents Unlock advanced automation and intelligence with custom AI agents built using GPT, LangChain, and OpenAI APIs. Learn how to integrate Replicate with LangChain using the Model Context Protocol (MCP). env. It comes with built-in planning, a filesystem for context, and subagent spawning. Note: with_structured_output isn’t new—it existed before LangChain v1. 21 hours ago · 二、 环境安装 在开始 Coding 之前，我们需要配置 Python 环境。建议使用虚拟环境（Conda 或 venv）来管理依赖。 以下是构建完整 LangChain 开发环境的指令清单： # 1. A toolkit is a collection of tools meant to be used together. mcp-use is the easiest way to interact with mcp servers with custom agents - mcp-use/mcp-use 3 days ago · pip install langchain langchain-openai langchain-community duckduckgo-search Step 2: Create your Agent file Create a file called research_agent. agents import initialize_agent, Tool from langchain. What I 4 days ago · 文章浏览阅读1. invoke(tool_call["args"]) result. From your first "Hello MCP" call to building multi-agent collaboration systems, you'll gain the practical skills to bring cutting-edge AI workflows into production. Here’s what they really are: 🔹 LangChain = Simple loop Your AI thinks → calls tool → thinks → calls tool Problem? No memory. Under the hood, LangChain automatically picks the right mechanism (OpenAI tool call, Anthropic function call, JSON mode, etc. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped 1 day ago · This blog demonstrated how the OCI OpenAI package makes it easy to build agentic applications on OCI Generative AI using multiple frameworks. 21 hours ago · LangChain recently introduced Deep Agents: a new way to build structured, multi-agent systems that can plan, delegate, and reason across multiple steps. 0 achieving stable releases. In particular, you'll be able Jan 7, 2026 · Check out LangChain. Sep 1, 2025 · Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more. 6 days ago · Caution openwork gives AI agents direct access to your filesystem and the ability to execute shell commands. Use the official OpenAI library with local Ollama models. example 1-4 Additional Configuration for Gmail The LangChain ecosystem has reached a pivotal milestone in 2025 with both LangChain 1. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. To access AzureChatOpenAI models you’ll need to create an Azure account, create a deployment of an Azure OpenAI model, get the name and endpoint for your deployment, get an Azure OpenAI API key, and install the langchain-openai integration package. 1, ChatOpenAI can be used directly with Azure OpenAI endpoints using the new v1 API. The examples cover three core deployment scenarios: conversational retrieval chains, agents with tools, a Langflow is a low-code AI builder for agentic and retrieval-augmented generation (RAG) apps. 1, maxTokens: 1000, timeout: 30 }); const agent = createAgent({ model, tools: [] }); LangChain offers an extensive ecosystem with 1000+ integrations across chat & embedding models, tools & toolkits, document loaders, vector stores, and more. When searching, prioritize: - Official documentation over blog posts - Recent content (2024 Fiverr freelancer will provide AI Development services and build langchain ai chatbots and rag applications with openai and vector database including Integration of Using with Azure OpenAI Azure OpenAI v1 API support As of langchain-openai>=1. This parameter can be set to False to disable parallel tool calls: python. Supported models LangChain supports all major model providers, including OpenAI, Anthropic, Google, Azure, AWS Bedrock, and more. However, not every complex task requires this approach — a single agent with the right (sometimes dynamic) tools and prompt can often achieve similar results. Complete guide covers workflow architecture, LLM configuration, and production deployment. For a full list of supported models in LangChain, see the integrations page. plan_and_execute import ( PlanAndExecute, load_chat_planner, load_agent_executor ) # LangChain工具装饰器 from langchain. It has grown into an ecosystem of tools that work together. 安装核心与基础库 pip install langchain pip install langchain-core # 2. 安装模型接口与社区支持 pip install langchain-openai # 用于调用 OpenAI 协议的模型 pip 21 hours ago · 文章浏览阅读265次，点赞6次，收藏4次。本文深度解析了LangChain框架的核心架构与关键特性。作为一站式LLM应用开发解决方案，LangChain采用模块化设计，包含核心抽象层（langchain-core）、功能实现模块和第三方集成。其核心特性包括：链式调用（Chains）实现复杂流程组装、LCEL声明式语法简化开发 2 days ago · 格式：OPENAI_API_KEY='你的密钥'") # 新版LangChain OpenAI模块 from langchain_openai import ChatOpenAI # Plan-and-Execute核心组件 from langchain_experimental. 0 and LangGraph 1. 190 Redirecting LangChain is the platform for agent engineering. Tools can depend on runtime context and also interact with agent memory. 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. env file in the project root with the following variables: # OpenAI API for LLM functionality OPENAI_API_KEY=your_openai_api_key # LangSmith for evaluation and tracing LANGSMITH_TRACING=true LANGSMITH_API_KEY=your_langsmith_api_key LANGSMITH_PROJECT="interrupt-workshop" Sources: . Each provider offers a variety of models with different capabilities. Code in Python and use any LLM or vector database. In this course, you will embark on a journey through a diverse range of projects designed to deepen your LangChain vs LangGraph — the difference actually matters ⚡ Most people think these are just two Python libraries. 6 days ago · Learn to build AI agents with n8n using LangChain integration. Jan 13, 2026 · Create a . Deep Agents is an agent harness built on langchain and langgraph. In such case, you can use ChatOpenAI with a custom base_url to connect to these endpoints. See filtering for tool calls for more information. 190 Redirecting Jul 9, 2025 · Troubleshoot LangChain and LangGraph tracing issues with common causes and clear fixes to keep your observability on point. Nov 5, 2025 · Note that while Langchain and LangGraph are open source, Langsmith is a paid platform. 21 hours ago · LangChain recently introduced Deep Agents: a new way to build structured, multi-agent systems that Tagged with react, programming, python, tutorial. com Redirecting import { createAgent } from "langchain"; import { ChatOpenAI } from "@langchain/openai"; const model = new ChatOpenAI({ model: "gpt-4o", temperature: 0. Apr 10, 2025 · Mastering Tool Calling with LangChain & Azure OpenAI: An End-to-End Guide Introduction Ever wished your AI assistant could check the weather, calculate travel time, or fetch live data from the web … LangChain is the easiest way to start building agents and applications powered by LLMs. By combining LangChain’s capabilities with OpenAI’s GPT-4, we can Tools This package provides LangChain-compatible wrappers for OpenAI's built-in tools for the Responses API. Jan 20, 2025 · Why LangChain? LangChain is a powerful framework for building applications that leverage language models. Always review tool calls before approving them, and only run in workspaces you trust. Langsmith is a good-to-have tool and not a requirement to build AI workflows. Learn tool calling, memory, workflows, and LLM integration using simple Python examples.

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