This package integrates Rivet backend to Chainlit frontend, using a Rivet Node.js server, a Python client, and a Chainlit app.

Create the root folder of the project (say, RivetChain), cd to it, then git clone the repository:

git clone https://github.com/igor2c/RivetChain.git

@ironclad/rivet-node requires Node.js 16 or higher.

cd to the root folder of the project, install the @ironclad/rivet-node Node.js library using NPM:

npm install @ironclad/rivet-node

cd to the root folder of the project, install the express Node.js library using NPM:

npm install express

Create and activate a conda environment:

conda create --name rivetchain_env python=3.11

conda activate rivetchain_env

chainlit requires python>=3.8.

In conda environment, install chainlit via pip as follows:

pip install chainlit

In the root folder of the project, create a .env file with the following contents:

OPENAI_API_KEY=
LITERAL_API_KEY=
CHAINLIT_AUTH_SECRET=

• OPENAI_API_KEY is generated here: https://platform.openai.com/api-keys
• LITERAL_API_KEY is generated following this: https://docs.chainlit.io/data-persistence/overview
• CHAINLIT_AUTH_SECRET is generate using chainlit create-secret

cd to the root folder of the project, and run:

conda activate rivetchain_env

chainlit run app.py -w

The -w flag tells Chainlit to enable auto-reloading, so you don’t need to restart the server every time you make changes to your application. Your chatbot UI should now be accessible at http://localhost:8000.

• RivetChain: cd to root folder of the project, git pull origin master
• Rivet: cd to root folder of the project (where package.json is located) and npm update @ironclad/rivet-node
• Chainlit: In conda environment, pip install chainlit --upgrade --upgrade-strategy only-if-needed (font)

• Rivet Integration Getting Started
  • Rivet GitHub
• Chainlit Documentation
  • Chainlit GitHub
  • Chainlit Cookbook