AI Powered OpenAI Request Wrapper Service - README.md Implementation Instructions

This comprehensive guide will guide you through implementing the README.md file for the AI Powered OpenAI Request Wrapper Service MVP. This file serves as the primary documentation for the project, providing a clear and concise overview for users and developers.

1. Project Overview

1.1. Introduction

Welcome to the AI Powered OpenAI Request Wrapper Service, a Python-based backend API that simplifies interactions with the OpenAI API. This service aims to democratize access to powerful AI technology by making it easy for developers and businesses to integrate OpenAI models into their applications.

1.2. Key Features

The AI Powered OpenAI Request Wrapper Service provides a user-friendly interface for making requests to OpenAI models, including:

• Request Handling: The service accepts user requests, specifying the desired OpenAI model (e.g., GPT-3, Codex, DALL-E), the input prompt, and any necessary parameters.
• API Call Generation: The service automatically translates user requests into valid OpenAI API calls that adhere to the OpenAI API specifications.
• Response Processing: The service retrieves responses from the OpenAI API and processes them into a structured format for easy understanding.
• Response Formatting: The service formats processed responses for display or use in other applications, making them easily digestible.
• Authentication and Authorization: The service implements a robust authentication system using JWT (JSON Web Tokens) or OAuth 2.0 to ensure secure access.

1.3. Benefits

This service offers numerous benefits for developers and businesses:

• Performance: Streamlined request processing and efficient response handling result in reduced latency and quicker response times.
• Security: Secure authentication and communication with the OpenAI API protect sensitive information and ensure reliable service.
• Cost-Efficiency: Optimized API calls and efficient resource utilization reduce API usage costs.
• Scalability: A flexible architecture designed to handle increasing workloads makes the service adaptable to evolving demands.
• Integration: Seamless integration with various applications and frameworks allows for wide applicability across diverse projects.

2. Installation and Setup

2.1. Prerequisites

To set up and run the AI Powered OpenAI Request Wrapper Service, you'll need the following:

• Python 3.9+: Ensure you have Python 3.9 or a later version installed on your system.
• PostgreSQL: The service requires PostgreSQL as its database. You may need to install PostgreSQL if it's not already available on your system.
• OpenAI API Key: Obtain an OpenAI API key from the OpenAI website. You can find the instructions here.

2.2. Installation Steps

Follow these steps to install and configure the service:

1. Clone the Repository:

   git clone https://github.com/coslynx/OpenAI-Request-Wrapper-Service.git
   cd OpenAI-Request-Wrapper-Service

2. Install Dependencies:

   pip install -r requirements.txt

3. Configure Environment Variables:

   cp .env.example .env

   • Update the following environment variables in the .env file with your specific values:
     • DATABASE_URL: Your PostgreSQL database connection string.
     • OPENAI_API_KEY: Your OpenAI API key.
     • JWT_SECRET: A secret key for JWT token generation.

4. Create the Database:

   createdb openai_wrapper
   psql -U user -d openai_wrapper -c "CREATE EXTENSION pgcrypto;"

5. Start the Service:

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

3. Usage Guide

3.1. Making OpenAI Requests

Here's how to make requests to OpenAI models using the service:

1. Choose a Model: Select the desired OpenAI model (e.g., gpt-3.5-turbo, text-davinci-003) for your request.
2. Formulate a Prompt: Write a clear and concise prompt that describes what you want the model to generate.
3. Specify Parameters (Optional): Use optional parameters (e.g., temperature, max_tokens) to control the model's behavior.
4. Send the Request: Send the request to the API endpoint /requests/create using your preferred method, such as curl.

Example using curl:

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-3.5-turbo", "prompt": "Write a short poem about a cat.", "parameters": {"temperature": 0.7}}' \
  http://localhost:8000/requests/create

3.2. User Authentication

The service provides basic user authentication and authorization using JWT tokens. Here's how it works:

1. Register a New User:

   • Send a POST request to the /users/register endpoint to register a new user account. You'll need to provide a username, email, and password.

2. Login:

   • Send a POST request to the /users/login endpoint to log in to your account. You'll need to provide your username and password. Upon successful login, you'll receive a JWT access token.

3. Using the Access Token:

   • Include the JWT access token in the Authorization header of your API requests using the Bearer scheme. For example:

   Authorization: Bearer YOUR_JWT_TOKEN 

4. Contributing

4.1. Development Process

We welcome contributions to the AI Powered OpenAI Request Wrapper Service. Here's how you can contribute:

1. Fork the Repository: Create a fork of the repository on GitHub.
2. Create a Branch: Create a new branch in your forked repository for your changes.
3. Submit a Pull Request: Once you've made your changes, submit a pull request to the main repository.

4.2. Coding Style and Standards

The project follows the following coding style and standards:

• Linting: flake8 is used for code style checking.
• Type Checking: mypy is used for type checking.
• Documentation: Python docstrings are used to document code.
• Testing: We encourage writing unit tests and integration tests for all components.

5. Contact and Support

5.1. Issue Tracker

If you encounter any issues or have suggestions, please use the project's issue tracker on GitHub to report them: Link to GitHub issues

5.2. Other Support Channels

You can also reach out for support via:

• Twitter: @CosLynxAI

6. License

This project is licensed under the MIT License.

7. Acknowledgements

We would like to acknowledge the contributions of the following individuals and projects:

• OpenAI: For providing the powerful AI models and API.
• FastAPI: For the excellent web framework used to build the service.
• SQLAlchemy: For simplifying database interactions.
• PyJWT: For handling JWT authentication.
• PostgreSQL: For the robust and scalable database.

8. Additional Notes

• The README.md file is regularly updated to reflect the latest project changes.
• For more detailed information, please refer to the project documentation.

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