https://github.com/Sh4yy/personal-ai

This is a personal AI assistant that works with Apple Shortcuts removing the need for a dedicated hardware device.

The assistant is run on Cloudflare Workers and can work with any LLM model. The code snippet here uses llama 3 as an example with a custom function calling for fetching weather data.

1. Clone the repository:

   • Clone this repository and navigate to the root directory.

2. Install dependencies:

   • Run npm install to install the necessary dependencies.

3. Authenticate with Cloudflare:

   • Run npx wrangler login to log in to your Cloudflare account.

4. Create KV namespaces:

   • Run npx wrangler kv:namespace create chats to create a KV namespace. Note down the ID.
   • Run npx wrangler kv:namespace create chats --preview to create a preview KV namespace. Note down the ID.

5. Configure the project:

   • Update wrangler.toml with the namespace IDs:

   kv_namespaces = [
    { binding = "personal_ai_chats", id = "<id>", preview_id = "<preview_id>"}
   ]

6. Set up API keys:

• Run npx wrangler secret put GROQ_API_KEY to set the GROQ API key.

• Run npx wrangler secret put OPENWEATHERMAP_API_KEY to set the OpenWeather API key.

  Note: You can get these keys by signing up on GroqCloud and OpenWeather respectively.

To deploy the worker, run npx wrangler deploy.

1. Install the shortcut:

   • Use this link to install the shortcut.

2. Configure the shortcut:

   • Open the shortcut and replace the URL field with your worker's URL.
   • If you didn't change the default name, the URL should be https://personal-ai.<your-username>.workers.dev.