SvelteKit AI Chatbot

An open-source AI chatbot app template built with SvelteKit, the Vercel AI SDK, OpenAI, and Vercel KV.

FeaturesModel ProvidersDeploy Your OwnRunning locallyAuthors


This is an unofficial SvelteKit port of vercel-labs/ai-chatbot.

Support Development

If you find this template useful, please consider supporting me through GitHub Sponsorship or Ko-Fi to help with its development.

Features

Model Providers

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.

Deploy Your Own

You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:

Creating a KV Database Instance

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.

Running locally

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.

  1. Install Vercel CLI: npm i -g vercel
  2. Link local instance with Vercel and GitHub accounts (creates .vercel directory): vercel link
  3. Download your environment variables: 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.

Authors

This template is heavily based on the Next.js version, with contributions from:

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