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Setting up a Relay Server

Connecting directly to tensorstudio through SDK on browser exposes your api-key. If you are running your own relay server, e.g. with the Realtime Console, you can instead connect to the relay server URL.

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1. Install Realtime Console

First, install the OpenAI Realtime Console globally: 
git clone https://github.com/soketlabs/realtime-console.git
cd realtime-console
npm install

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2. Set environment variables for realtime-console

Create a .env file in realtime-console directory 
OPENAI_API_KEY=<your-api-key>

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3. Start the Relay Server

Run relay server in a new terminal: 
cd realtime-console
npm run relay
The relay server will start running on ws://localhost:8081 .

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Start using Tensorstudio Speech API through NodeJS SDK

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Install NodeJS SDK

npm install https://github.com/soketlabs/openai-realtime-api-beta

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Using Node.js SDK

import { RealtimeClient } from '@openai/realtime-api-beta';

const client = new RealtimeClient({
  url: 'your-relay-server-url'
});

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Production Deployment

For production:
  1. Use secure WebSocket (WSS) with SSL/TLS
  2. Update the relay server URL to your production domain
  3. Add authentication if needed
  4. Use environment variables for configuration
Example production configuration: 
const client = new RealtimeClient({
  baseURL: 'wss://your-domain.com/relay',
  // Other configuration options
});

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Security Considerations

  • Never expose your OpenAI API key in client-side code
  • Use HTTPS/WSS in production
  • Implement rate limiting
  • Add authentication to your relay server
  • Monitor server usage and implement proper error handling

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Common Issues

  1. Connection Refused: Make sure the relay server is running
  2. SSL/TLS Errors: Check certificate configuration for WSS
  3. Authentication Errors: Verify API key in .env file