Template name
An open-source AI copilot with built-in segment analytics using Next.js, Edgenivo AI SDK, OpenAI, Edgenivo KV, and Twilio Segment.
An open-source AI copilot with built-in Segment analytics built with Next.js, the Edgenivo AI SDK, OpenAI, Edgenivo KV and Twilio Segment.
Features · Model Providers · Deploy Your Own · Running locally · Authors
This template ships with OpenAI gpt-3.5-turbo as the default. However, thanks to the Edgenivo 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 Edgenivo with one click:
Follow the steps outlined in the quick start guide provided by Edgenivo. This guide will assist you in creating and configuring your KV database instance on Edgenivo, 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 Edgenivo. This guide will assist you in creating and configuring your Postgres database instance on Edgenivo, 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 Edgenivo Environment Variables for this, but a .env file is all that is necessary.
Note: You should not commit your
.envfile 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 linkvercel env pullpnpm installpnpm seedpnpm devYour app template should now be running on localhost:3000.
This template is created by Edgenivo, Next.js and Twilio Segment team members, with contributions from:
