AI Backend Server (Groq Edition)

A simple Express.js backend server that connects to Groq API (llama-3.3-70b-versatile) for ultra-fast, terminal-based code generation.

Features

• Groq API Integration: Uses the fast Llama 3 models.
• Client Script: ask.js handles output formatting and prevents truncation in PowerShell.
• File Download Support: Support for saving generated code to a file via Vercel or local server.
• Vercel Ready: Includes configuration for easy deployment.

Setup

1. Install dependencies:

   npm install

2. Configure API key:

   • Create .env file
   • Add your Groq API key:

   GROQ_API_KEY=your_groq_api_key
   

3. Start the server:

   npm start

Usage

1. Terminal Query

Use the included ask.js script to get clean, full output:

node ask.js "write a factorial function in python"

2. Save Code to File (Vercel & Local)

To download the generated code to a file:

Git Bash / Mac / Linux:

curl -OJ "https://your-app.vercel.app/ask?q=write%20function&filename=code.py"

Windows PowerShell: Use curl.exe explicitly to avoid the PowerShell alias:

curl.exe -OJ "https://your-app.vercel.app/ask?q=write%20function&filename=code.py"

Or use the PowerShell native command:

Invoke-WebRequest "https://your-app.vercel.app/ask?q=write%20function&filename=code.py" -OutFile "code.py"

Vercel Deployment

1. Push this repository to GitHub.
2. Import the project into Vercel.
3. Add the environment variable GROQ_API_KEY in Vercel project settings.
4. Redeploy.

API Endpoints

• GET /ask?q=question - Returns plain text answer.
• GET /ask?q=question&filename=file.ext - Downloads the answer as a file.