AI-Powered-Request-Response-System-MVP

A Python backend that simplifies interaction with OpenAI's powerful language models.

Developed with the software and tools below.

📑 Table of Contents

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

📍 Overview

This repository contains the backend for an AI Powered Request Response System built with Python, FastAPI, and PostgreSQL. This MVP aims to provide a streamlined and efficient way to access OpenAI's powerful language models.

📦 Features

	Feature	Description
⚙️	Architecture	The backend follows a modular architecture with separate components for request handling, API interaction, response formatting, and database management, ensuring maintainability and scalability.
📄	Documentation	The repository includes a README file that provides a comprehensive overview of the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The codebase relies on various external libraries and packages, including FastAPI, OpenAI, SQLAlchemy, and PostgreSQL, which are essential for building the API, interacting with OpenAI, and managing data storage.
🧩	Modularity	The modular structure enables easier maintenance and reusability, with separate modules for different functionalities, ensuring a clean and organized codebase.
🧪	Testing	Unit tests are implemented using the pytest framework to ensure the reliability and robustness of the core functionalities.
⚡️	Performance	The backend is designed for efficient request handling and response processing, leveraging asynchronous operations and potential caching mechanisms.
🔐	Security	The backend prioritizes security through robust input validation, secure API key management, and adherence to best practices for data handling.
🔀	Version Control	The repository utilizes Git for version control, facilitating collaboration and tracking code changes.
🔌	Integrations	The backend seamlessly integrates with the OpenAI API using its Python library, enabling communication with powerful language models like GPT-3.
📶	Scalability	The backend is designed with scalability in mind, utilizing frameworks like FastAPI and PostgreSQL that offer horizontal scalability features for handling increased user load.

📂 Structure

├── config.py
├── startup.sh
├── commands.json
├── main.py
├── requirements.txt
├── database
│   ├── __init__.py
│   └── models.py
├── utils
│   ├── __init__.py
│   └── openai_api_call.py
└── routers
    └── process.py

💻 Installation

🔧 Prerequisites

• Python 3.9+
• Docker and Docker Compose
• PostgreSQL
• OpenAI API Key (obtain from https://platform.openai.com/account/api-keys)

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/coslynx/AI-Powered-Request-Response-System-MVP.git
   cd AI-Powered-Request-Response-System-MVP

2. Install dependencies:

   pip install -r requirements.txt

3. Set up the database:

   docker-compose up -d database
   alembic upgrade head

4. Configure environment variables:

   cp .env.example .env
   # Fill in the required environment variables: OPENAI_API_KEY, DATABASE_URL

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the development server:

   uvicorn main:app --reload

🌐 Hosting

🚀 Deployment Instructions

1. Build the Docker image:

   docker build -t ai-request-response-system .

2. Run the container:

   docker run -d -p 8000:8000 ai-request-response-system

📜 API Documentation

🔍 Endpoints

• POST /process
  • Description: Processes a user request using OpenAI's language models.
  • Request Body (JSON):

    {
      "text": "Your request to the AI",
      "model": "text-davinci-003" // Optional, defaults to text-davinci-003
    }

  • Response (JSON):

    {
      "response": "AI generated response"
    }

📄 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-Powered-Request-Response-System-MVP

📞 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!