Sudoku Backend

Backend project for Sudoku made using Genkit, and deployed on Vercel.

✨ Checkout the frontend application made using Flutter in this Github Repository.

🚀 Getting Started

To run this project, genkit is required to be installed. Read through the documentation for more information.

npm install -g genkit

The next step is to set-up the environment variables. Checkout the .env.example file and copy the content over to a .env file.

The GOOGLE_API_KEY represents the AI API Key that can be created from Google AI Studio.
The API_KEY represents a random key used for authorization. The frontend or the client is expected to send this key via x-api-key header.

Read more about Non-Firebase HTTP Authorization in the documentation.

This project can be run via Genkit Developer UI. To start the UI, use the following command:

genkit start
# or
npm run genkit

Review the documentation for detailed explanation and samples.

Alternatively, this project can be run as an express project. Follow the below commands:

npm run build
npm start

This project is deployed on Vercel.

Checkout the vercel.json file that holds the configurations used for the vercel deployment.

Additionally, go through this official documentation on how to deploy a Firebase Genkit app on any Node.js platform.

Update generate-hint prompt to make better hints. [In current scenario, sometimes it generates invalid hints (in terms of wrong answer, incorrect cell co-ordinates, less meaningful logic explanations)]
Add a better authentication and authorization logic.