An open-source AI chatbot app template built with SvelteKit, the Vercel AI SDK, OpenAI, and Vercel KV.
Features 路 Model Providers 路 Deploy Your Own 路 Running locally 路 Authors
This is an unofficial SvelteKit port of vercel-labs/ai-chatbot.
If you find this template useful, please consider supporting me through GitHub Sponsorship or Ko-Fi to help with its development.
This template ships with OpenAI gpt-3.5-turbo
as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to Anthropic, HuggingFace, or using LangChain with just a few lines of code.
You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:
Follow the steps outlined in the quick start guide provided by Vercel. This guide will assist you in creating and configuring your KV database instance on Vercel, enabling your application to interact with it.
Remember to update your environment variables (KV_URL
, KV_REST_API_URL
, KV_REST_API_TOKEN
, KV_REST_API_READ_ONLY_TOKEN
) in the .env
file with the appropriate credentials provided during the KV database setup.
You will need to use the environment variables defined in .env.example
to run Next.js AI Chatbot. It's recommended you use Vercel Environment Variables for this, but a .env
file is all that is necessary.
Note: You should not commit your
.env
file or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts.
npm i -g vercel
.vercel
directory): vercel link
vercel env pull
npm install
npm run dev
# or start the server and open the app in a new browser tab
npm run dev -- --open
Your app template should now be running on localhost:5173.
This template is heavily based on the Next.js version, with contributions from: