{"id":17965812,"url":"https://github.com/coslynx/ai-powered-request-response-system","last_synced_at":"2026-05-09T09:54:05.080Z","repository":{"id":259608340,"uuid":"879038992","full_name":"coslynx/AI-Powered-Request-Response-System","owner":"coslynx","description":"AI-powered system that responds to requests with helpful information and answers... 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class=\"hero-icon\" align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/PKief/vscode-material-icon-theme/ec559a9f6bfd399b82bb44393651661b08aaf7ba/icons/folder-markdown-open.svg\" width=\"100\" /\u003e\n\u003c/div\u003e\n\n\u003ch1 align=\"center\"\u003e\nAI Powered Request Response System\n\u003c/h1\u003e\n\u003ch4 align=\"center\"\u003eA Python backend application that serves as an AI wrapper, seamlessly connecting users to the power of OpenAI's language models.\u003c/h4\u003e\n\u003ch4 align=\"center\"\u003eDeveloped with the software and tools below.\u003c/h4\u003e\n\u003cdiv class=\"badges\" align=\"center\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Framework-FastAPI-blue\" alt=\"Framework used\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Backend-Python-red\" alt=\"Backend Language\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Database-PostgreSQL-blue\" alt=\"Database used\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/LLMs-OpenAI-black\" alt=\"LLMs used\"\u003e\n\u003c/div\u003e\n\u003cdiv class=\"badges\" align=\"center\"\u003e\n  \u003cimg src=\"https://img.shields.io/github/last-commit/coslynx/AI-Powered-Request-Response-System?style=flat-square\u0026color=5D6D7E\" alt=\"git-last-commit\" /\u003e\n  \u003cimg src=\"https://img.shields.io/github/commit-activity/m/coslynx/AI-Powered-Request-Response-System?style=flat-square\u0026color=5D6D7E\" alt=\"GitHub commit activity\" /\u003e\n  \u003cimg src=\"https://img.shields.io/github/languages/top/coslynx/AI-Powered-Request-Response-System?style=flat-square\u0026color=5D6D7E\" alt=\"GitHub top language\" /\u003e\n\u003c/div\u003e\n\n## 📑 Table of Contents\n- 📍 Overview\n- 📦 Features\n- 📂 Structure\n- 💻 Installation\n- 🏗️ Usage\n- 🌐 Hosting\n- 📄 License\n- 👏 Authors\n\n## 📍 Overview\nThe repository contains a Minimum Viable Product (MVP) called \"AI Powered Request Response System\" that acts as a Python backend application, bridging the gap between human communication and advanced AI technologies. Users can send requests to the system via a defined API endpoint, which then processes them using the OpenAI API and returns a comprehensive response. The system is built with scalability, security, and user experience in mind, using technologies like FastAPI, SQLAlchemy, and PostgreSQL.\n\n## 📦 Features\n|    | Feature            | Description                                                                                                        |\n|----|--------------------|--------------------------------------------------------------------------------------------------------------------|\n| ⚙️ | **Architecture**   | The system utilizes a REST API architecture based on FastAPI for handling requests and responses. SQLAlchemy is used for database interaction with PostgreSQL. |\n| 📄 | **Documentation**  | This README file provides a detailed overview of the MVP, its features, installation, usage, and deployment instructions.|\n| 🔗 | **Dependencies**   | The project utilizes packages such as FastAPI, SQLAlchemy, psycopg2-binary, OpenAI, and Pydantic for API development, database interaction, and data validation. |\n| 🧩 | **Modularity**     | The codebase is organized into modules for better organization and maintainability, with separate files for models, routers, and utilities. |\n| 🧪 | **Testing**        | Includes unit tests using `pytest` to ensure the robustness and reliability of the codebase. |\n| ⚡️  | **Performance**    | The backend is designed for efficient processing of user requests and returns responses promptly. Caching strategies are implemented for frequently asked questions. |\n| 🔐 | **Security**       | The backend utilizes robust authentication and authorization protocols. Input validation and data sanitization are implemented to prevent security vulnerabilities. |\n| 🔀 | **Version Control**| Utilizes Git for version control with a `startup.sh` script for managing the application startup process. |\n| 🔌 | **Integrations**   | The backend seamlessly integrates with the OpenAI API, securely communicating with it to process user requests and retrieve responses. |\n| 📶 | **Scalability**    | The system is designed for scalability with the use of PostgreSQL for data storage and efficient request handling techniques. |\n\n## 📂 Structure\n```text\n├── main.py                # Application entry point\n├── database.py            # Database setup and session management\n├── models\n│   └── models.py          # Database models\n├── routers\n│   └── requests.py        # API routes for handling user requests\n├── utils\n│   └── helpers.py         # Utility functions\n├── services\n│   └── openai_service.py  # OpenAI API interaction logic\n└── tests\n    └── test_main.py      # Unit tests for the main application logic\n```\n\n## 💻 Installation\n### 🔧 Prerequisites\n- Python 3.9+\n- PostgreSQL 14+\n- Docker (optional, for containerized deployment)\n\n### 🚀 Setup Instructions\n1. **Clone the repository:**\n   ```bash\n   git clone https://github.com/coslynx/AI-Powered-Request-Response-System.git\n   cd AI-Powered-Request-Response-System\n   ```\n2. **Install dependencies:**\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. **Set up the database:**\n   - Create a PostgreSQL database.\n   - Update the `DATABASE_URL` in the `.env` file with your database connection string.\n4. **Configure environment variables:**\n   ```bash\n   cp .env.example .env\n   ```\n   Replace `sk-YOUR_API_KEY_HERE` with your actual OpenAI API key.\n\n## 🏗️ Usage\n### 🏃‍♂️ Running the MVP\n1. **Start the application:**\n   ```bash\n   python main.py\n   ```\n\n### ⚙️ Configuration\n- The `.env` file contains environment variables like the OpenAI API key and database connection string.\n\n### 📚 Examples\n- **Sending a request:**\n    ```bash\n    curl -X POST http://localhost:8000/requests -H \"Content-Type: application/json\" -d '{\"text\": \"What is the meaning of life?\"}'\n    ```\n- **Response:**\n    ```json\n    {\n        \"id\": 1,\n        \"text\": \"What is the meaning of life?\",\n        \"response\": \"The meaning of life is a question that has been pondered by philosophers and theologians for centuries. There is no one definitive answer, and the meaning of life may be different for each individual. Some people find meaning in their relationships, their work, their faith, or their hobbies. Ultimately, the meaning of life is up to each individual to decide.\",\n        \"created_at\": \"2023-12-18T15:10:10.123456Z\"\n    }\n    ```\n\n## 🌐 Hosting\n### 🚀 Deployment Instructions\n1. **Build a Docker image (optional):**\n   ```bash\n   docker build -t ai-request-response-system:latest .\n   ```\n2. **Run the Docker container (optional):**\n   ```bash\n   docker run -p 8000:8000 ai-request-response-system:latest\n   ```\n3. **Deploy to a cloud platform (e.g., Heroku):**\n    - Create a new Heroku app:\n    ```bash\n    heroku create ai-request-response-system-production\n    ```\n    - Set environment variables:\n    ```bash\n    heroku config:set OPENAI_API_KEY=your_openai_api_key\n    heroku config:set DATABASE_URL=your_database_url\n    ```\n    - Deploy the code:\n    ```bash\n    git push heroku main\n    ```\n\n### 🔑 Environment Variables\n- `OPENAI_API_KEY`: Your OpenAI API key\n- `DATABASE_URL`: Your PostgreSQL database connection string (e.g., `postgresql://user:password@host:port/database`)\n\n## 📜 API Documentation\n### 🔍 Endpoints\n- **POST /requests**\n    - Description: Create a new request to the OpenAI API.\n    - Request Body: \n        ```json\n        {\n            \"text\": \"Your request here\"\n        }\n        ```\n    - Response:\n        ```json\n        {\n            \"id\": 1,\n            \"text\": \"Your request here\",\n            \"response\": \"The response from OpenAI\",\n            \"created_at\": \"2023-12-18T15:10:10.123456Z\"\n        }\n        ```\n\n## 📜 License \u0026 Attribution\n\n### 📄 License\nThis Minimum Viable Product (MVP) is licensed under the [GNU AGPLv3](https://choosealicense.com/licenses/agpl-3.0/) license.\n\n### 🤖 AI-Generated MVP\nThis MVP was entirely generated using artificial intelligence through [CosLynx.com](https://coslynx.com).\n\nNo human was directly involved in the coding process of the repository: AI-Powered-Request-Response-System\n\n### 📞 Contact\nFor any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:\n- Website: [CosLynx.com](https://coslynx.com)\n- Twitter: [@CosLynxAI](https://x.com/CosLynxAI)\n\n\u003cp align=\"center\"\u003e\n  \u003ch1 align=\"center\"\u003e🌐 CosLynx.com\u003c/h1\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n  \u003cem\u003eCreate Your Custom MVP in Minutes With CosLynxAI!\u003c/em\u003e\n\u003c/p\u003e\n\u003cdiv class=\"badges\" align=\"center\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Developers-Drix10,_Kais_Radwan-red\" alt=\"\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Website-CosLynx.com-blue\" alt=\"\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Backed_by-Google,_Microsoft_\u0026_Amazon_for_Startups-red\" alt=\"\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Finalist-Backdrop_Build_v4,_v6-black\" alt=\"\"\u003e\n\u003c/div\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoslynx%2Fai-powered-request-response-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoslynx%2Fai-powered-request-response-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoslynx%2Fai-powered-request-response-system/lists"}