abstract-server

abstract Server

Table of Contents

• Introduction
• Installation
• Getting Started
• Documentation
• Contact
• License

Introduction

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Installation of abstract-server

To install abstract_server, you can either use pip or manually set it up by cloning the repository:

Using pip:

pip install abstract-server

Note: abstract_server requires Python 3.6 or later. Ensure you meet this requirement before proceeding with the installation.

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Getting Started

Here is a basic example of using abstract_server:

Documentation

abstract_server consists of the following Python files and their corresponding functionalities:

1. response_handling.py:

2. api_call.py:

Sure, here's an exhaustive readme.md for the api_calls.py component of the abstract_ai module:

api_calls.py - Abstract AI Module

api_calls.py is a component of the Abstract AI module, designed to facilitate API calls to OpenAI's GPT-3 model. This module is intended to simplify the interaction with the GPT-3 API and handle responses in a structured manner.

Table of Contents

• Overview
• Installation
• Usage
• Classes and Functions
  • PromptManager
  • hard_request
  • quick_request
• Examples
• Contributing
• License

Overview

api_calls.py serves as a bridge between your application and the OpenAI GPT-3 API. It provides a convenient interface to send requests, manage responses, and control the behavior of the API calls. This module is highly customizable, allowing you to define prompts, instructions, and response handling logic.

Installation

1. Install the required Python packages:

   pip install openai
   

2. Set your OpenAI API key as an environment variable. By default, the module looks for an environment variable named OPENAI_API_KEY to authenticate API calls.

Usage

Classes and Functions

PromptManager Class

hard_request Function

The hard_request function sends a hard request to the OpenAI API with the provided parameters. It is a simplified way to make API calls.

quick_request Function

The quick_request function sends a quick request to the OpenAI API with simple configurations and prints the result. It is a convenient shortcut for quick API interactions.

Examples

For detailed examples and usage scenarios, refer to the examples directory in this repository. You'll find practical code samples demonstrating how to use the abstract_server.py module for various tasks.

Contributing

If you'd like to contribute to the development of the abstract_server module or report issues, please refer to the Contributing Guidelines.

License

This module is licensed under the MIT License, which means you are free to use and modify it as per the terms of the license. Make sure to review the license file for complete details.

Feel free to use api_calls.py to enhance your interactions with OpenAI's GPT-3 model in your projects.

3. endpoints.py:

4. tokenization.py

Contact

Should you have any issues, suggestions or contributions, please feel free to create a new issue on our Github repository.

License

abstract_server is released under the MIT License.