Metadata-Version: 2.4
Name: langchain
Version: 1.1.3
Summary: Building applications with LLMs through composability
Project-URL: Homepage, https://docs.langchain.com/
Project-URL: Documentation, https://reference.langchain.com/python/langchain/langchain/
Project-URL: Source, https://github.com/langchain-ai/langchain/tree/master/libs/langchain
Project-URL: Changelog, https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain%3D%3D1%22
Project-URL: Twitter, https://x.com/LangChainAI
Project-URL: Slack, https://www.langchain.com/join-community
Project-URL: Reddit, https://www.reddit.com/r/LangChain/
License: MIT
License-File: LICENSE
Requires-Python: <4.0.0,>=3.10.0
Requires-Dist: langchain-core<2.0.0,>=1.1.2
Requires-Dist: langgraph<1.1.0,>=1.0.2
Requires-Dist: pydantic<3.0.0,>=2.7.4
Provides-Extra: anthropic
Requires-Dist: langchain-anthropic; extra == 'anthropic'
Provides-Extra: aws
Requires-Dist: langchain-aws; extra == 'aws'
Provides-Extra: azure-ai
Requires-Dist: langchain-azure-ai; extra == 'azure-ai'
Provides-Extra: community
Requires-Dist: langchain-community; extra == 'community'
Provides-Extra: deepseek
Requires-Dist: langchain-deepseek; extra == 'deepseek'
Provides-Extra: fireworks
Requires-Dist: langchain-fireworks; extra == 'fireworks'
Provides-Extra: google-genai
Requires-Dist: langchain-google-genai; extra == 'google-genai'
Provides-Extra: google-vertexai
Requires-Dist: langchain-google-vertexai; extra == 'google-vertexai'
Provides-Extra: groq
Requires-Dist: langchain-groq; extra == 'groq'
Provides-Extra: huggingface
Requires-Dist: langchain-huggingface; extra == 'huggingface'
Provides-Extra: mistralai
Requires-Dist: langchain-mistralai; extra == 'mistralai'
Provides-Extra: ollama
Requires-Dist: langchain-ollama; extra == 'ollama'
Provides-Extra: openai
Requires-Dist: langchain-openai; extra == 'openai'
Provides-Extra: perplexity
Requires-Dist: langchain-perplexity; extra == 'perplexity'
Provides-Extra: together
Requires-Dist: langchain-together; extra == 'together'
Provides-Extra: xai
Requires-Dist: langchain-xai; extra == 'xai'
Description-Content-Type: text/markdown

# 🦜️🔗 LangChain

[![PyPI - Version](https://img.shields.io/pypi/v/langchain?label=%20)](https://pypi.org/project/langchain/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langchain)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain)](https://pypistats.org/packages/langchain)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI)](https://twitter.com/langchainai)

Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).

To help you ship LangChain apps to production faster, check out [LangSmith](https://smith.langchain.com).
[LangSmith](https://smith.langchain.com) is a unified developer platform for building, testing, and monitoring LLM applications.

## Quick Install

```bash
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](https://docs.langchain.com/oss/python/integrations/providers/overview). 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](https://docs.langchain.com/oss/python/langgraph/overview), 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](https://docs.langchain.com/oss/python/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](https://reference.langchain.com/python/langchain/langchain/). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).

## 📕 Releases & Versioning

See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/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](https://docs.langchain.com/oss/python/contributing/overview).