llm-via-api

A boilerplate repository for connecting to Google Gemini via API.

Flow Diagram

Features

• Simple integration with Google Gemini API
• Easy setup and configuration
• Ready-to-use Python environment

Limitation

• The model doesn't keep the memory or maintains any session so each prompt is a whole new conversation

Setup

1. Navigate to Google AI Studio and get a API Key

2. Clone the repository

   git clone <repository-url>
   cd llm-via-api

3. Create a virtual environment

   python -m venv venv

4. Activate the virtual environment

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

5. Install dependencies

   pip install -r requirements.txt

6. Set up environment variables

   • On Windows(powershell):

     $env:GEMINI_API_KEY="YOUR_API_KEY_HERE"

   • On macOS/Linux:

     export GEMINI_API_KEY='YOUR_API_KEY_HERE'

Usage

Run the main program:

python main.py

Notes

• Ensure you have a valid Google Gemini API key.
• For more details, refer to the code and comments.