OpenAI-API-Wrapper-MVP

Simplified Python backend for OpenAI API access

Developed with the software and tools below.

📑 Table of Contents

• 📍 Overview
• 📦 Features
• 📂 Structure
• 💻 Installation
• 🏗️ Usage
• 🌐 Hosting
• 📄 License
• 👏 Authors

📍 Overview

This repository contains a Minimum Viable Product (MVP) that simplifies access to OpenAI's API. It provides a Python-based RESTful API built with FastAPI, handling requests, interacting with the OpenAI API, and returning processed responses. The MVP focuses on ease of use and reliability, abstracting away the complexities of direct API interaction.

📦 Features

	Feature	Description
1	Request Handling & Validation	Accepts user prompts, validates input length and format, and prepares data for the OpenAI API.
2	OpenAI API Interaction	Sends requests to the OpenAI API, handles API key authentication, manages rate limits using exponential backoff, and handles API errors gracefully.
3	Response Processing	Receives and parses JSON responses, extracts generated text, and formats it for user consumption. Handles potential parsing errors.
4	Comprehensive Error Handling	Provides informative error messages to the user and detailed logging for debugging. Distinguishes between client-side and server-side errors.

📂 Structure

openai-wrapper-mvp/
├── src/
│   ├── main.py
│   ├── api/
│   │   └── routes.py
│   ├── openai_service.py
│   ├── utils.py
│   └── __init__.py
├── .env
├── requirements.txt
├── Dockerfile
└── tests/
    └── test_api.py
    └── test_services.py

💻 Installation

🔧 Prerequisites

• Python 3.9+
• pip

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/YOUR_GITHUB_USERNAME/OpenAI-API-Wrapper-MVP.git
   cd OpenAI-API-Wrapper-MVP

2. Create a .env file and add your OpenAI API key:

   OPENAI_API_KEY=your-api-key-here
   

3. Install dependencies:

   pip install -r requirements.txt

🏗️ Usage

🏃‍♂️ Running the MVP

python src/main.py

The API will be available at http://localhost:8000.

⚙️ Configuration

The API key is loaded from the .env file. The port can be changed by setting the PORT environment variable.

📚 Examples

• Text Generation: POST /generate with a JSON body like {"prompt": "Write a short story"}

🌐 Hosting

Deploy using Docker:

1. Build the Docker image: docker build -t openai-api-wrapper .
2. Run the container: docker run -p 8000:8000 openai-api-wrapper

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👏 Authors

• YOUR_NAME

🌐 CosLynx.com

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