Sure, here's a README.md file for the provided TypeScript code files:

This is a TypeScript application that provides a session management system for interacting with an AI chatbot using the OpenAI GPT-3 API.

• Session Manager
  • Table of Contents
  • Overview
  • Files
    • Session.class.ts
      • Capabilities
      • Examples
    • index.ts
  • Usage
  • Prerequisites
  • Installation
  • Getting Started
  • Contributing
  • License

The Session class in Session.class.ts is a fundamental part of the session management system. It allows you to create, save, and delete chat sessions with the AI chatbot. You can also interact with the chatbot by sending and receiving messages.

The index.ts file provides a command-line interface (CLI) to interact with and manage these chat sessions.

This TypeScript file contains the Session class, which is the core component of the session management system. It includes methods for creating sessions, saving sessions to disk, deleting sessions, and interacting with the AI chatbot.

The Session.Class.ts module is designed to manage chat sessions with an AI chatbot, utilizing the OpenAI GPT-3 API. It provides the following capabilities:

1. Session Creation: You can create new chat sessions using the generateSession function. It allows you to specify an optional ChatLog object to initialize the session with specific parameters. If not provided, a default session is created.

2. Session Persistence: The module allows you to save sessions to the local file system using the saveSession function. This is useful for keeping a record of your interactions with the chatbot.

3. Session Deletion: You can delete a session using the deleteSession function. This removes the session file from the local file system.

4. Interacting with the Chatbot: The Session class enables you to interact with the chatbot by sending messages and receiving responses. You can use the ask method to send a user message to the chatbot and get a response.

5. Session Information Retrieval: You can retrieve various information about the session, such as the chat log, title, ID, start date, and more.

Here are some examples of how to use the Session.Class.ts module:

1. Creating a New Session:

import { generateSession } from "./Session.class.ts";

// Create a new session
const session = generateSession();

// Optionally, you can specify initial chat messages when creating the session:
const initialMessages = [
  { role: "user", content: "Hello, chatbot!" },
  { role: "assistant", content: "Hi there! How can I assist you?" },
];

const sessionWithInitialMessages = generateSession({
  messages: initialMessages,
});

2. Sending a Message to the Chatbot:

import Session from "./Session.class.ts";

// Assuming you have an existing session
const session = new Session();

// Send a message to the chatbot
const userMessage = "Tell me a joke!";
const response = await session.ask(userMessage);

console.log("Chatbot's response:", response.content);

3. Retrieving Session Information:

// Assuming you have an existing session
const session = new Session();

// Get session information
const chatLog = session.getLog();
const sessionTitle = session.getTitle();
const sessionId = session.getID();
const startDate = session.getStartDate();

console.log("Session Title:", sessionTitle);
console.log("Session ID:", sessionId);
console.log("Session Start Date:", new Date(startDate).toLocaleString());
console.log("Chat Log:", chatLog);

4. Saving and Deleting Sessions:

import Session, { saveSession, deleteSession } from "./Session.class.ts";

// Assuming you have an existing session
const session = new Session();

// Save the session to the local file system
const isSaved = saveSession(session);

if (isSaved) {
  console.log("Session saved successfully.");
} else {
  console.error("Failed to save the session.");
}

// Delete the session from the local file system
const isDeleted = deleteSession(session);

if (isDeleted) {
  console.log("Session deleted successfully.");
} else {
  console.error("Failed to delete the session.");
}

These examples demonstrate how to create, interact with, and manage chat sessions using the Session.Class.ts module. You can customize your sessions, send messages to the chatbot, and persist session data as needed.

This file is the entry point for the application and provides a command-line interface (CLI) for managing and interacting with chat sessions. It includes functionality for loading existing sessions, starting new sessions, and quitting the program.

To use this session management system, follow the instructions below.

Before using this system, make sure you have the following prerequisites:

• Node.js: Ensure that Node.js is installed on your system. You can download it from https://nodejs.org/.

1. Clone this repository to your local machine:

   git clone https://github.com/your-username/session-manager.git

2. Navigate to the project directory:

   cd session-manager

3. Install the project dependencies using npm:

   npm install

To start using the session management system, follow these steps:

1. Run the application:

   npm run start

2. The CLI will provide you with options to load existing sessions, start new sessions, and interact with the chatbot.

3. Follow the on-screen instructions to choose a session or start a new one.

4. Interact with the chatbot by entering text messages.

5. You can save your session or quit the program at any time.

If you'd like to contribute to this project, please follow these steps:

1. Fork the repository on GitHub.

2. Clone your forked repository to your local machine.

3. Create a new branch for your feature or bug fix.

4. Make your changes and commit them with descriptive commit messages.

5. Push your changes to your forked repository on GitHub.

6. Create a pull request to the original repository with a clear description of your changes.

7. Wait for the maintainers to review your pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

Feel free to reach out if you have any questions or need further assistance with this session management system.