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.

📕 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-1.2.7.tar.gz (556.8 kB view details)

Uploaded Source

Built Distribution

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

langchain-1.2.7-py3-none-any.whl (108.8 kB view details)

Uploaded Python 3

File details

Details for the file langchain-1.2.7.tar.gz.

File metadata

  • Download URL: langchain-1.2.7.tar.gz
  • Upload date:
  • Size: 556.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain-1.2.7.tar.gz
Algorithm Hash digest
SHA256 ba40e8d5b069a22f7085f54f405973da3d87cfdebf116282e77c692271432ecb
MD5 034b02dc53e084e2a25de8ad53df587f
BLAKE2b-256 47f2478ca9f3455b5d66402066d287eae7e8d6c722acfb8553937e06af708334

See more details on using hashes here.

File details

Details for the file langchain-1.2.7-py3-none-any.whl.

File metadata

  • Download URL: langchain-1.2.7-py3-none-any.whl
  • Upload date:
  • Size: 108.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain-1.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 1d643c8ca569bcde2470b853807f74f0768b3982d25d66d57db21a166aabda72
MD5 902e816a856c5683ecbc7845c7d5ba7f
BLAKE2b-256 ddc89ce37ae34870834c7d00bb14ff4876b700db31b928635e3307804dc41d74

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