--- id: langchain-classic version: "1.0.8" license: MIT license_treatment: permissive maintenance: active --- # langchain-classic โ€” Building applications with LLMs through composability License: permissive ยท Maintenance: active ยท Popularity: top 1,000 on PyPI ## Install pip install langchain-classic uv add langchain-classic poetry add langchain-classic ## Description # ๐Ÿฆœ๏ธ๐Ÿ”— LangChain Classic [![PyPI - Version](https://img.shields.io/pypi/v/langchain-classic?label=%20)](https://pypi.org/project/langchain-classic/#history) [![PyPI - License](https://img.shields.io/pypi/l/langchain-classic)](https://opensource.org/licenses/MIT) [![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain-classic)](https://pypistats.org/packages/langchain-classic) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss) 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://www.langchain.com/langsmith). [LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications. ## Quick Install ```bash pip install langchain-classic ``` ## ๐Ÿค” What is this? Legacy chains, `langchain-community` re-exports, indexing API, deprecated functionality, and more. In most cases, you should be using the main [`langchain`](https://pypi.org/project/langchain/) package. ## ๐Ÿ“–... ## AI interpretation โ€” verify before relying LangChain Classic provides legacy chains, community re-exports, indexing APIs, and deprecated functionality for LLM application development, intended as a compatibility layer rather than primary entry point. Verdict: Actively maintained compatibility package for legacy LangChain code with permissive MIT licensing and low install friction. Suitable for projects requiring deprecated functionality or community re-exports, but new development should prefer the main langchain package. No known vulnerabilities. [View on SkillFed](https://skillfed.io/packages/langchain-classic) ยท [View on PyPI](https://pypi.org/project/langchain-classic/)