langchain-classic1.0.0
Published
Building applications with LLMs through composability
pip install langchain-classic
Package Downloads
Authors
Requires Python
<4.0.0,>=3.10.0
Dependencies
- async-timeout
<5.0.0,>=4.0.0; python_version < "3.11" - langchain-core
<2.0.0,>=1.0.0 - langchain-text-splitters
<2.0.0,>=1.0.0 - langsmith
<1.0.0,>=0.1.17 - pydantic
<3.0.0,>=2.7.4 - pyyaml
<7.0.0,>=5.3.0 - requests
<3.0.0,>=2.0.0 - sqlalchemy
<3.0.0,>=1.4.0 - langchain-anthropic
; extra == "anthropic" - langchain-aws
; extra == "aws" - langchain-deepseek
; extra == "deepseek" - langchain-fireworks
; extra == "fireworks" - langchain-google-genai
; extra == "google-genai" - langchain-google-vertexai
; extra == "google-vertexai" - langchain-groq
; extra == "groq" - langchain-mistralai
; extra == "mistralai" - langchain-ollama
; extra == "ollama" - langchain-openai
; extra == "openai" - langchain-perplexity
; extra == "perplexity" - langchain-together
; extra == "together" - langchain-xai
; extra == "xai"
🦜️🔗 LangChain Classic
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-classic
🤔 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 package.
📖 Documentation
For full documentation, see the API reference.
📕 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.