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-1.2.15.tar.gz (574.7 kB view details)

Uploaded Source

Built Distribution

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

langchain-1.2.15-py3-none-any.whl (112.7 kB view details)

Uploaded Python 3

File details

Details for the file langchain-1.2.15.tar.gz.

File metadata

  • Download URL: langchain-1.2.15.tar.gz
  • Upload date:
  • Size: 574.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain-1.2.15.tar.gz
Algorithm Hash digest
SHA256 1717b6719daefae90b2728314a5e2a117ff916291e2862595b6c3d6fba33d652
MD5 99c101b655f471b1e6baeb8400ef63d6
BLAKE2b-256 983f888a7099d2bd2917f8b0c3ffc7e347f1e664cf64267820b0b923c4f339fc

See more details on using hashes here.

File details

Details for the file langchain-1.2.15-py3-none-any.whl.

File metadata

  • Download URL: langchain-1.2.15-py3-none-any.whl
  • Upload date:
  • Size: 112.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain-1.2.15-py3-none-any.whl
Algorithm Hash digest
SHA256 e349db349cb3e9550c4044077cf90a1717691756cc236438404b23500e615874
MD5 ddc012f873d909cd0451e873289607a0
BLAKE2b-256 3fe8a3b8cb0005553f6a876865073c81ef93bd7c5b18381bcb9ba4013af96ebc

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