Skip to main content

Building applications with LLMs through composability

Project description

🦜️🔗 LangChain

PyPI - Version PyPI - License PyPI - Downloads Twitter

Looking for the JS/TS version? Check out LangChain.js.

To help you ship LangChain apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.

Quick Install

pip install langchain

🤔 What is this?

LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. 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.

We recommend you use LangChain if you want to quickly build agents and autonomous applications. Use LangGraph, our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency.

LangChain agents are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs. You can also chat with the docs using Chat LangChain.

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langchain-1.3.0.tar.gz (580.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

langchain-1.3.0-py3-none-any.whl (114.1 kB view details)

Uploaded Python 3

File details

Details for the file langchain-1.3.0.tar.gz.

File metadata

  • Download URL: langchain-1.3.0.tar.gz
  • Upload date:
  • Size: 580.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.0.tar.gz
Algorithm Hash digest
SHA256 8ec70ee0cef94255f3e522423b254093a3dd34509638d353c50f3d9dd498debc
MD5 b47a67337f6d30d88d7b604b8010e1a9
BLAKE2b-256 a67403fd4c07993c49c4b80635bb4c723643ff78af81c9471d1266f879f68df1

See more details on using hashes here.

File details

Details for the file langchain-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: langchain-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 114.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9ce48828c706c00c586304b519fbd910e75d9f5ab3f319c31834e42107437f43
MD5 b05254fe38ba3b92f9bb4531a48cb05c
BLAKE2b-256 7b6fb9a9721c27fbb6d29a6a7cd89d6a41eeffc7c79b49b9a5cf5beb1d60952d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page