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-1.3.7.tar.gz (621.1 kB view details)

Uploaded Source

Built Distribution

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

langchain-1.3.7-py3-none-any.whl (131.4 kB view details)

Uploaded Python 3

File details

Details for the file langchain-1.3.7.tar.gz.

File metadata

  • Download URL: langchain-1.3.7.tar.gz
  • Upload date:
  • Size: 621.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.7.tar.gz
Algorithm Hash digest
SHA256 49e1dd3a4ec96a09a2d901b5de4cf8cc69cf6bc41be76d9a838ad67a2af7982c
MD5 f9cfe6958768ac792f459c02485d088c
BLAKE2b-256 cd9e9354114081622b077e215a3ce66be6231cbe80ee022cdd7b30056749a2c5

See more details on using hashes here.

File details

Details for the file langchain-1.3.7-py3-none-any.whl.

File metadata

  • Download URL: langchain-1.3.7-py3-none-any.whl
  • Upload date:
  • Size: 131.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.7-py3-none-any.whl
Algorithm Hash digest
SHA256 7f6e13f6681068e3fb2323f9905c1f41da261c02f55337e23250de3e51d1f325
MD5 2098ae340987e8b5a27c7df7188c80a9
BLAKE2b-256 80b812d4dce378eff231ef6a5db751380607b15d4b1feeb3397fbec043bf5f5e

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