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README.md

@@ -1,39 +1,104 @@
 # OpenAI Realtime Console
 
-This is an example application showing how to use the [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime) with [WebRTC](https://platform.openai.com/docs/guides/realtime-webrtc).
-
-## Installation and usage
-
-Before you begin, you'll need an OpenAI API key - [create one in the dashboard here](https://platform.openai.com/settings/api-keys). Create a `.env` file from the example file and set your API key in there:
-
-```bash
-cp .env.example .env
+## Description
+This project is a web-based console designed to interact with the OpenAI Realtime API. It allows users to establish a real-time, bidirectional communication channel with OpenAI models, stream audio input/output, send and receive events, and manage session lifecycles. It serves as a demonstration and a development tool for building applications using the OpenAI Realtime API.
+
+## Features
+- **Real-time Audio Streaming:** Capture audio from the user's microphone and stream it to the OpenAI API, and play back audio responses from the model.
+- **Bidirectional Event Communication:** Send and receive JSON-based events to and from the OpenAI model via WebRTC data channels.
+- **Session Management:** Initiate and terminate sessions with the OpenAI Realtime API.
+- **Token Generation:** Backend endpoint (`/token`) to securely fetch session tokens from the OpenAI API.
+- **Event Logging:** Display a chronological log of all events exchanged with the model.
+- **Interactive UI:** User-friendly interface built with React for managing sessions, sending messages, and viewing events.
+- **Vite-powered Development:** Fast development server with Hot Module Replacement (HMR) and optimized builds.
+
+## Tech Stack
+- **Backend:** Node.js, Express.js
+- **Frontend:** React, Tailwind CSS
+- **Build Tool & Development Server:** Vite
+- **Real-time Communication:** WebRTC (RTCPeerConnection, RTCDataChannel)
+- **API Integration:** OpenAI Realtime API
+- **Environment Management:** dotenv
+
+## Project Structure
 ```
-
-Running this application locally requires [Node.js](https://nodejs.org/) to be installed. Install dependencies for the application with:
-
-```bash
-npm install
+/
+|-- client/         # Frontend React application
+|   |-- assets/       # Static assets (images, etc.)
+|   |-- components/   # React components
+|   |-- pages/        # Page components (if any, structure might vary)
+|   |-- entry-client.jsx # Client-side entry point
+|   |-- entry-server.jsx # Server-side rendering entry point
+|   |-- index.html    # Main HTML template
+|   |-- ...           # Other client-specific files
+|-- .env.example    # Example environment variables file
+|-- server.js       # Backend Express server
+|-- package.json    # Project dependencies and scripts
+|-- vite.config.js  # Vite configuration
+|-- README.md       # This file
+|-- ...             # Other project files (LICENSE, .gitignore, etc.)
 ```
 
-Start the application server with:
-
+## Setup and Installation
+1.  **Clone the repository:**
+    ```bash
+    git clone <repository-url>
+    cd <repository-directory>
+    ```
+2.  **Install dependencies:**
+    Make sure you have Node.js (preferably a recent LTS version) and npm installed.
+    ```bash
+    npm install
+    ```
+3.  **Set up environment variables:**
+    Copy the example environment file to a new `.env` file:
+    ```bash
+    cp .env.example .env
+    ```
+    Open the `.env` file and add your OpenAI API key:
+    ```
+    OPENAI_API_KEY=your_openai_api_key_here
+    ```
+    You will also need to specify the `PORT` if you want to use a port other than the default `3000`.
+
+## Running the Project
+
+### Development Mode
+To run the project in development mode with Vite's development server and Hot Module Replacement (HMR):
 ```bash
 npm run dev
 ```
+The application will typically be available at `http://localhost:3000` (or the port specified in your `.env` file or `server.js`).
 
-This should start the console application on [http://localhost:3000](http://localhost:3000).
+### Production Mode
+To run the project in production mode (after building it):
+```bash
+npm run start
+```
+This will start the Express server serving the optimized static assets. Ensure you have built the project first (see 'Building the Project' section).
 
-This application is a minimal template that uses [express](https://expressjs.com/) to serve the React frontend contained in the [`/client`](./client) folder. The server is configured to use [vite](https://vitejs.dev/) to build the React frontend.
+## Environment Variables
+The project requires the following environment variables to be set in a `.env` file in the project root:
 
-This application shows how to send and receive Realtime API events over the WebRTC data channel and configure client-side function calling. You can also view the JSON payloads for client and server events using the logging panel in the UI.
+-   `OPENAI_API_KEY`: **Required**. Your secret API key for accessing the OpenAI API.
+-   `PORT`: Optional. The port on which the Express server will run. Defaults to `3000` if not specified.
 
-For a more comprehensive example, see the [OpenAI Realtime Agents](https://github.com/openai/openai-realtime-agents) demo built with Next.js, using an agentic architecture inspired by [OpenAI Swarm](https://github.com/openai/swarm).
+Example `.env` file:
+```
+OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+PORT=3000
+```
+Refer to the `.env.example` file for a template.
 
-## Previous WebSockets version
+## Building the Project
+To create a production build of the application, run the following command:
+```bash
+npm run build
+```
+This command will:
+1.  Build the client-side React application using Vite (`vite build --outDir dist/client --ssrManifest`).
+2.  Build the server-side components using Vite (`vite build --outDir dist/server --ssr /index.js`).
 
-The previous version of this application that used WebSockets on the client (not recommended in browsers) [can be found here](https://github.com/openai/openai-realtime-console/tree/websockets).
+The optimized static assets and server build will be placed in the `dist/` directory. After building, you can start the server in production mode using `npm run start`.
 
 ## License
-
-MIT