LlamaTutor powered by LlamaEdge/Gaia

This project is a fork of the Original Project.

Changes in This Fork

In this fork, I have introduced several enhancements to allow the customization of the server and model used by the application. The primary changes are as follows:

Environment Variables

Three new environment variables have been added to the .env file:

• SERPER_API_KEY: The serach API key for searching content online. You can also use BING_API_KEY here.
• HELICONE_API_KEY: The Helicone API key for observability.
• LLAMAEDGE_BASE_URL: URL for the LLM API base URL.
• LLAMAEDGE_MODEL_NAME: Name of the model to be used.
• LLAMAEDGE_API_KEY: API key for accessing the LLM services.

These variables allow you to customize the URL and use your own server and model. The default values for these variables are:

LLAMAEDGE_BASE_URL=https://llama.us.gaianet.network/v1
LLAMAEDGE_MODEL_NAME=llama
LLAMAEDGE_API_KEY=LlamaEdge

How to Use

1. Clone the Repository and navigate to the Project Directory:

git clone https://github.com/second-state/llamatutor.git
cd llamatutor

2. Create and Configure the .env File:

cp .example.env .env

Update the .env file with your desired values for the new variables:

LLAMAEDGE_BASE_URL=https://your-custom-url/v1
LLAMAEDGE_MODEL_NAME=your-custom-model
LLAMAEDGE_API_KEY=your-api-key

Apply for Serpre API key here and Helicone API key here.

4. Install Dependencies:

npm install

or

yarn

5. Run the Application:

npm run dev

or

yarn start

By configuring these environment variables, you can point the application to your own LLM server and model, providing greater flexibility and customization.