An open-source AI copilot with built-in segment analytics using Next.js, Vercel AI SDK, OpenAI, Vercel KV, and Twilio Segment.
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, Cohere, Hugging Face, or using LangChain with just a few lines of code.
You can deploy your own version of the Next.js AI Chatbot with Twilio Segment observability 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.
Similarly, follow the steps outline in the quick start guide provided by Vercel. This guide will assist you in creating and configuring your Postgres database instance on Vercel, enabling your application to interact with it.
Remember to update your environment variables (POSTGRES_URL
, POSTGRES_PRISMA_URL
, POSTGRES_URL_NO_SSL
, POSTGRES_URL_NON_POOLING
, POSTGRES_USER
, POSTGRES_HOST
, POSTGRES_PASSWORD
, POSTGRES_DATABASE
) in the .env
file with the appropriate credentials provided during the Postgres database setup.
For the full guided walkthrough, follow the blog post here.
Use your existing Twilio Segment account or create a free one here. Create a new node.js
source by following the instructions here and record your write key.
Remember to update the segment write key in your environment .env
file (NEXT_PUBLIC_SEGMENT_WRITE_KEY
) with the write key to your node.js Segment source.
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, Twilio Segment and authentication provider accounts.
npm i -g vercel
.vercel
directory): vercel link
vercel env pull
pnpm installpnpm seedpnpm dev
Your app template should now be running on localhost:3000.
This template is created by Vercel, Next.js and Twilio Segment team members, with contributions from:
An open-source AI copilot with built-in segment analytics using Next.js, Vercel AI SDK, OpenAI, Vercel KV, and Twilio Segment.
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, Cohere, Hugging Face, or using LangChain with just a few lines of code.
You can deploy your own version of the Next.js AI Chatbot with Twilio Segment observability 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.
Similarly, follow the steps outline in the quick start guide provided by Vercel. This guide will assist you in creating and configuring your Postgres database instance on Vercel, enabling your application to interact with it.
Remember to update your environment variables (POSTGRES_URL
, POSTGRES_PRISMA_URL
, POSTGRES_URL_NO_SSL
, POSTGRES_URL_NON_POOLING
, POSTGRES_USER
, POSTGRES_HOST
, POSTGRES_PASSWORD
, POSTGRES_DATABASE
) in the .env
file with the appropriate credentials provided during the Postgres database setup.
For the full guided walkthrough, follow the blog post here.
Use your existing Twilio Segment account or create a free one here. Create a new node.js
source by following the instructions here and record your write key.
Remember to update the segment write key in your environment .env
file (NEXT_PUBLIC_SEGMENT_WRITE_KEY
) with the write key to your node.js Segment source.
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, Twilio Segment and authentication provider accounts.
npm i -g vercel
.vercel
directory): vercel link
vercel env pull
pnpm installpnpm seedpnpm dev
Your app template should now be running on localhost:3000.
This template is created by Vercel, Next.js and Twilio Segment team members, with contributions from: