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-1.3.2.tar.gz (600.6 kB view details)

Uploaded Source

Built Distribution

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

langchain-1.3.2-py3-none-any.whl (121.2 kB view details)

Uploaded Python 3

File details

Details for the file langchain-1.3.2.tar.gz.

File metadata

  • Download URL: langchain-1.3.2.tar.gz
  • Upload date:
  • Size: 600.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.2.tar.gz
Algorithm Hash digest
SHA256 ffd5f204a46b5fa1a38bf89ba3b45ca0902c02d18fa7d2a2eaeaeb1f5bf19d0a
MD5 f2a8c931ad9e5d09bb8454a142f5d213
BLAKE2b-256 d5d0c7f9d3d26c0e3f8bb146c6d707ee0fc1d30d8da65a59626e8a580085e929

See more details on using hashes here.

File details

Details for the file langchain-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: langchain-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 121.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 900f6b3f4ee08b9ba3cdbe667dbf42525bd6f66a4a07a7f1db26262673e41ed6
MD5 e54820cab3a4eee1afdfc50195243a16
BLAKE2b-256 f882a54edcd1c48163de5642eb10fa2cb58b13a8889c659964f63f0306b58b1e

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