Agents et multi-agents

LangChain

langchain-ai/langchain

An open-source Python framework for building LLM-powered applications and agents through interoperable, chainable components and third-party integrations.

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⑂ 23,9KForks
451Problèmes ouverts
PythonLangue
MITLicence
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Vue d’ensemble

LangChain is a framework for building agents and LLM-powered applications. It helps developers chain together interoperable components and third-party integrations to simplify AI application development while aiming to future-proof decisions as the underlying technology evolves. The framework provides a standard interface for models, embeddings, vector stores, and more, allowing developers to work at different levels of abstraction. It is part of a broader ecosystem that includes Deep Agents, LangGraph, and LangSmith.

Fonctionnalités clés

  • Real-time data augmentation via integrations with model providers, tools, vector stores, and retrievers
  • Model interoperability allowing models to be swapped during experimentation
  • Modular, component-based architecture for rapid prototyping
  • Production-ready features with support for monitoring, evaluation, and debugging
  • Flexible abstraction layers from high-level chains to low-level components
  • Seamless integration with the LangChain ecosystem including Deep Agents, LangGraph, and LangSmith

Prérequis, installation et démarrage rapide

The quickstart recommends using the `uv` package manager with the command: `uv add langchain`.

Utilisation

A basic quickstart involves importing `init_chat_model` from `langchain.chat_models`, initializing a model (e.g., `init_chat_model("openai:gpt-5.5")`), and invoking it with a text prompt like `model.invoke("Hello, world!")`.

Compatibilité des modèles et cas d’usage

The framework supports model interoperability and integrates with various model providers. Repository topics indicate relevance to Anthropic, ChatGPT, Gemini, and OpenAI.

Licence et notes sur les risques

The repository is licensed under the MIT license.

Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: MIT. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.

Publication et maintenance

Not stated in the repository metadata.

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