AI Wrapper for OpenAI Responses

A Python backend service that simplifies and enhances interactions with OpenAI's powerful AI models.

Developed with the software and tools below.

📑 Table of Contents

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

📍 Overview

This repository houses the AI Wrapper for OpenAI Responses, a Python-based backend service designed to streamline and enhance interactions with OpenAI's powerful AI models. It addresses the challenge of interacting directly with the OpenAI API, which can be complex for developers due to the need for managing API keys, handling authentication, and processing raw JSON responses.

📦 Features

	Feature	Description
⚙️	Architecture	The codebase follows a modular architectural pattern with separate directories for different functionalities, ensuring easier maintenance and scalability.
📄	Documentation	This README file provides a detailed overview of the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The codebase relies on various external libraries and packages such as fastapi, openai, sqlalchemy, pyjwt, psycopg2-binary, pydantic, pytest, black, dotenv, and requests, which are essential for building and styling the UI components, and handling external services.
🧩	Modularity	The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities such as api, routers, models, utils, database, middleware, scripts, and tests.
🧪	Testing	Implement unit tests using frameworks like pytest to ensure the reliability and robustness of the codebase.
⚡️	Performance	The performance of the system can be optimized based on factors such as the browser and hardware being used. Consider implementing performance optimizations for better efficiency.
🔐	Security	Enhance security by implementing measures such as input validation, data encryption, and secure communication protocols.
🔀	Version Control	Utilizes Git for version control with GitHub Actions workflow files for automated build and release processes.
🔌	Integrations	Interacts with browser APIs, external services through HTTP requests, and includes integrations with speech recognition and synthesis APIs.
📶	Scalability	Design the system to handle increased user load and data volume, utilizing caching strategies and cloud-based solutions for better scalability.

📂 Structure

ai-wrapper/
├── requirements.txt
├── .env
├── config
│   └── settings.py
├── api
│   └── main.py
├── routers
│   └── ai_router.py
├── models
│   ├── generate_request.py
│   └── generate_response.py
├── utils
│   ├── generate_text.py
│   └── config.py
├── database
│   ├── models.py
│   └── engine.py
├── middleware
│   ├── auth.py
│   └── error_handler.py
├── scripts
│   └── create_database.py
├── startup.sh
├── commands.json
└── tests
    ├── test_ai_router.py
    ├── test_utils.py
    └── test_database.py

💻 Installation

🔧 Prerequisites

• Python 3.9+
• PostgreSQL (database server)

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/coslynx/AI-Wrapper-for-OpenAI-Responses.git
   cd AI-Wrapper-for-OpenAI-Responses

2. Install dependencies:

   pip install -r requirements.txt

3. Set up the database:

   python scripts/create_database.py

4. Configure environment variables:

   cp .env.example .env
   # Fill in the necessary environment variables

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the FastAPI server:

   uvicorn api.main:app --host 0.0.0.0 --port 8000 --reload

🌐 Hosting

🚀 Deployment Instructions

Deploying to Heroku

1. Install the Heroku CLI:

   pip install heroku

2. Login to Heroku:

   heroku login

3. Create a new Heroku app:

   heroku create AI-Wrapper-for-OpenAI-Responses-production

4. Set up environment variables:

   heroku config:set OPENAI_API_KEY=sk-YOUR_API_KEY_HERE
   heroku config:set DATABASE_URL=postgresql://user:password@host:port/database_name
   heroku config:set JWT_SECRET_KEY=YOUR_SECRET_KEY_HERE

5. Deploy the code:

   git push heroku main

6. Run database migrations (if applicable):

   heroku run python scripts/create_database.py

🔑 Environment Variables

Provide a comprehensive list of all required environment variables, their purposes, and example values:

• OPENAI_API_KEY: Your OpenAI API key. Example: sk-YOUR_API_KEY_HERE
• DATABASE_URL: Connection string for the PostgreSQL database. Example: postgresql://user:password@host:port/database_name
• JWT_SECRET_KEY: Secret key for JWT token generation. Example: YOUR_SECRET_KEY_HERE

📜 API Documentation

🔍 Endpoints

• POST /api/v1/ai/generate
  • Description: Generates text using the OpenAI API.
  • Request Body:

    {
      "model": "text-davinci-003", // OpenAI model name
      "prompt": "Write a short story about a cat.",
      "temperature": 0.7, // (Optional) Controls randomness
      "max_tokens": 100 // (Optional) Limits response length
    }

  • Response Body:

    {
      "success": true,
      "result": "This is the generated text."
    }

📜 License & Attribution

📄 License

This Minimum Viable Product (MVP) is licensed under the GNU AGPLv3 license.

🤖 AI-Generated MVP

This MVP was entirely generated using artificial intelligence through CosLynx.com.

No human was directly involved in the coding process of the repository: AI-Wrapper-for-OpenAI-Responses

📞 Contact

For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:

• Website: CosLynx.com
• Twitter: @CosLynxAI

🌐 CosLynx.com

Create Your Custom MVP in Minutes With CosLynxAI!