- Chat History, rate limiting, and session storage with [Vercel KV](https://vercel.com/storage/kv)
- [Next Auth](https://github.com/nextauthjs/next-auth) for authentication
## Model Providers
This template ships with OpenAI `gpt-3.5-turbo` as the default. However, thanks to the [Vercel AI SDK](https://sdk.vercel.ai/docs), switching LLM providers to [Anthropic](https://anthropic.com), [HuggingFace](https://huggingface.co), or using [LangChain](https://js.langchain.com) with just a few lines of code.
## Running locally
You will need to use the environment variables [defined in `.env.example`](.env.example) to run Next.js AI Chatbot. It's recommended you use [Vercel Environment Variables](https://vercel.com/docs/concepts/projects/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`
```bash
pnpm install
pnpm dev
```
Your app should now be running on [localhost:3000](http://localhost:3000/).
## Authors
This library is created by [Vercel](https://vercel.com) and [Next.js](https://nextjs.org) team members, with contributions from:
- Jared Palmer ([@jaredpalmer](https://twitter.com/jaredpalmer)) - [Vercel](https://vercel.com)
- Shu Ding ([@shuding\_](https://twitter.com/shuding_)) - [Vercel](https://vercel.com)
