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and LangSmith, available for Python and JS\u002FTS.","\u003Ch2 id=\"project-overview\">Project Overview\u003C\u002Fh2>\u003Cp>LangChain is an open-source framework for building AI agents and LLM applications. It chains together models, embeddings, vector stores, tools, and third-party integrations behind unified interfaces, lowering the cost of AI application development. A few lines of code invoke models from different providers and swap them freely without rewriting business logic. Modular components span high-level to low-level abstractions, fitting both rapid prototypes and complex production systems. LangGraph adds controllable agent orchestration, while Deep Agents ships built-in planning, subagents, and file system capabilities.\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Value\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Language\u003C\u002Ftd>\n\u003Ctd>Python (JS\u002FTS version available)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Type\u003C\u002Ftd>\n\u003Ctd>LLM app and agent framework\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Integrations\u003C\u002Ftd>\n\u003Ctd>major model providers, vector stores, toolkits\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>License\u003C\u002Ftd>\n\u003Ctd>MIT\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>Unify models, tools, and data sources behind one interface; swap models without touching business code.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"key-features\">Key Features\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Unified model interface\u003C\u002Fstrong>: init_chat_model connects OpenAI, Anthropic, Gemini, and other providers in one line\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Swappable components\u003C\u002Fstrong>: models, embeddings, vector stores, and retrievers all follow standard interfaces\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Rich integrations\u003C\u002Fstrong>: a large library of model and tool integrations connects internal and external data\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Real-time augmentation\u003C\u002Fstrong>: feed LLMs with retrieval (RAG) and external system data\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Rapid prototyping\u003C\u002Fstrong>: modular architecture speeds up building and iterating LLM apps\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Ecosystem synergy\u003C\u002Fstrong>: integrates seamlessly with LangGraph (orchestration) and LangSmith (evals and observability)\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"target-audience\">Target Audience\u003C\u002Fh2>\u003Cul>\n\u003Cli>Engineers building LLM applications\u003C\u002Fli>\n\u003Cli>Teams developing AI agents\u003C\u002Fli>\n\u003Cli>Developers wiring private data through RAG\u003C\u002Fli>\n\u003Cli>ML engineers evaluating multiple model providers\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"quick-start\">Quick Start\u003C\u002Fh2>\u003Col>\n\u003Cli>Install\u003Cdiv class=\"code-block\">\u003Cpre>\u003Ccode class=\"hljs language-sh\">uv add langchain\u003C\u002Fcode>\u003C\u002Fpre>\u003C\u002Fdiv>\u003C\u002Fli>\n\u003Cli>Invoke a model\u003Cdiv class=\"code-block\">\u003Cpre>\u003Ccode class=\"hljs language-python\">from langchain.chat_models import init_chat_model\n\nmodel = init_chat_model('openai:gpt-4o-mini')\nresult = model.invoke('Hello, world!')\u003C\u002Fcode>\u003C\u002Fpre>\u003C\u002Fdiv>\u003C\u002Fli>\n\u003Cli>Add LangGraph for complex agent orchestration\u003C\u002Fli>\n\u003Cli>Pair with LangSmith for debugging and evaluation during development\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"core-advantages\">Core Advantages\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Model interoperability\u003C\u002Fstrong>: abstractions hide provider differences so new frontier models slot right in\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Progressive abstraction\u003C\u002Fstrong>: choose high-level chains or low-level components as complexity grows\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Complete ecosystem\u003C\u002Fstrong>: rich integrations, templates, and community components\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"system-requirements\">System Requirements\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Requirement\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Language\u003C\u002Ftd>\n\u003Ctd>Python 3; JS\u002FTS version available\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Install\u003C\u002Ftd>\n\u003Ctd>pip \u002F uv and similar\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Model access\u003C\u002Ftd>\n\u003Ctd>provider API keys or a local model server\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"notes\">Notes\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Keys first\u003C\u002Fstrong>: cloud models require provider API keys configured in advance\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Version matching\u003C\u002Fstrong>: ecosystem products like LangGraph and LangSmith evolve independently; check compatibility\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Separate JS library\u003C\u002Fstrong>: the JS\u002FTS version lives in its own repo and its API differs from Python\u003C\u002Fli>\n\u003C\u002Ful>\n",1793197889349]