JavaScript & TypeScript
Auth0 AI for LangChain
This SDK provides building blocks for using Auth for GenAI with LangChain and LangGraph. It supports:- A RAG Retriever for using OpenFGA
- Tools for implementing asynchronous user authentication
- Tools for getting access tokens for third-party connections
- OpenFGA-based tool authorizers
Python
Auth0 AI for LangChain
This SDK provides building blocks for using Auth for GenAI with LangChain and LangGraph. Includes a RAG Retriever for using OpenFGA, tools for implementing asynchronous user authentication, tools for getting access tokens for third-party connections, and OpenFGA-based tool authorizers. It supports:- A RAG Retriever for using OpenFGA,
- Tools for getting access tokens for third-party connections,
- OpenFGA-based tool authorizers.
Sample applications
Checkout our sample applications built with LangChain and LangGraph.Assistant0 (Next.js)
A fullstack AI personal assistant with pre-configured tools that demonstrate different Auth for GenAI features like User Authentication, Calling APIs (Gmail, Google Calendar, etc) securely using Token Vault, Human-in-the-loop interactions using Asynchronous Authorization, and using Auth0 FGA for securing RAG tools.
Assistant0 (FastAPI)
A fullstack AI personal assistant with pre-configured tools that demonstrate different Auth for GenAI features like User Authentication, Calling APIs (Gmail, Google Calendar, etc) securely using Token Vault, Human-in-the-loop interactions using Asynchronous Authorization, and using Auth0 FGA for securing RAG tools.
AI Samples
Explore our repository of standalone sample applications that showcase
Auth0’s authentication and authorization capabilities in generative AI
applications. Each sample demonstrates a specific Auth for GenAI feature.
Auth0 AI SDK TypeScript Samples
Explore example applications that accompany Auth0’s JavaScript AI SDKs.
These demonstrate recommended implementation patterns for the SDKs.
Auth0 AI SDK Python Samples
Explore example applications that accompany Auth0’s Python AI SDKs.
These demonstrate recommended implementation patterns for the SDKs.