Onboarding

Complete these prerequisite steps before starting the integration process:

Ensure you have a Twilio account set up and log into the Twilio Console.

Set up a WebSocket server to handle communication with Conversation Relay.

You can set up a WebSocket server using various frameworks and programming languages, such as Node.js with Fastify, Python with FastAPI, or others that support WebSocket protocols.

Note: Ensure your WebSocket server is accessible via a wss:// URL.

Conversation Relay includes an X-Twilio-Signature header in the initial WebSocket handshake request. This signature allows you to validate that requests are genuinely coming from Twilio, following the same verification mechanism used for standard Twilio webhooks.

To validate this signature:

1. Extract the X-Twilio-Signature header from the incoming WebSocket connection request.
2. Use your Twilio auth token and the request URL to validate this signature.
3. Only accept connections with valid signatures to prevent spoofed requests.

For detailed implementation guidance, refer to Twilio's webhook security documentation.

Once you've completed the prerequisites, follow these steps to integrate your Twilio application with Conversation Relay.

1. Log in to your Twilio Console.
2. Navigate to the Voice section, select General under Settings, and turn on the Predictive and Generative AI/ML Features Addendum in order to use Conversation Relay.
3. Navigate to the Voice section and select TwiML Apps under Manage.
4. Create a new TwiML App or select an existing one.
5. In the TwiML App settings, configure the Voice URL to point to your application's endpoint (for example, https://yourserver.com/voice) where Twilio can retrieve the TwiML containing the <ConversationRelay> instructions.
6. Save your changes.

After configuring your TwiML App, update your application to handle Conversation Relay interactions:

• Use the <Connect><ConversationRelay> TwiML noun to route calls to the Conversation Relay service.
• Specify the WebSocket URL and any additional attributes needed for your use case.

Example TwiML:

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<?xml version="1.0" encoding="UTF-8"?>
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<Response>
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  <Connect action="https://myhttpserver.com/connect_action">
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    <ConversationRelay url="wss://mywebsocketserver.com/websocket" welcomeGreeting="Hi! Ask me anything!" />
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  </Connect>
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</Response>

Once you've integrated Conversation Relay, you can enhance your application with advanced voice capabilities. Consider the following features:

Use Conversation Relay's real-time speech recognition to process caller input and respond dynamically.

Use Conversation Relay to convert text responses into natural-sounding speech, providing a seamless conversational experience.

For optimal speech quality, apply proper text normalization techniques (such as writing out numbers as words or spelling out abbreviations). See the Conversation Relay documentation for detailed text normalization best practices.

Pass custom parameters to Conversation Relay to tailor interactions based on specific use cases.

Learn more about building applications with Conversation Relay by exploring the following tutorials:

• Integrate OpenAI with Twilio Voice Using Conversation Relay
• Building Voice Bots with Twilio's Conversation Relay
• Conversation Relay Application and Architecture for Voice AI Applications Built on AWS