# Voice AI Conversations Over WebSocket Now Available for Telnyx AI Assistants

> Source: <https://telnyx.com/release-notes/voice-ai-websocket-conversations>
> Published: 2026-08-03 00:00:00+00:00

[Contact us](https://telnyx.com/contact-us)

[Log in](https://portal.telnyx.com)

You can now talk to Telnyx AI Assistants over a direct WebSocket connection, with no telephony required. Stream PCM16 audio from any web or mobile client and receive real-time transcription, assistant audio, and tool-call events over the same connection.

`wss://api.telnyx.com/v2/ai/assistants/{assistant_id}/conversation`

and stream audio directly to your assistant, with no phone number or PSTN connection required.`conversation.item.create`

and the assistant responds as if the user spoke it. Useful for hybrid voice and text interfaces.`function_call_output`

. Build tools that access local device state or browser APIs.`session.created`

frame.`response.cancel`

for client-initiated barge-in without audio.`wss://api.telnyx.com/v2/ai/assistants/{assistant_id}/conversation`

with your Telnyx API v2 key as the Bearer token.`input_sample_rate`

and `output_sample_rate`

to match your audio capture and playback configuration.`input_audio_buffer.append`

and listen for `session.created`

, transcription, and assistant-audio events.

``` js
// Open a WebSocket connection to your Telnyx AI Assistant
const ws = new WebSocket(
  'wss://api.telnyx.com/v2/ai/assistants/ASSISTANT_ID/conversation'
  + '?input_sample_rate=16000&output_sample_rate=24000'
);

ws.onmessage = (event) => {
  const frame = JSON.parse(event.data);
  console.log(frame.type);
  // session.created: confirms session and negotiated audio formats
  // input_audio_buffer.speech_started: user started speaking (VAD)
  // conversation.item.input_audio_transcription.completed: user transcript
  // response.created: assistant turn starts
  // response.audio.delta: assistant audio chunk (base64 PCM16)
};

// Stream microphone audio as base64-encoded PCM16 frames
function sendAudioChunk(pcm16Buffer) {
  ws.send(JSON.stringify({
    type: 'input_audio_buffer.append',
    audio: arrayBufferToBase64(pcm16Buffer)
  }));
}

// Inject a text turn (assistant responds as if the user spoke it)
ws.send(JSON.stringify({
  type: 'conversation.item.create',
  item: {
    type: 'message',
    role: 'user',
    content: [{ type: 'input_text', text: 'What are your business hours?' }]
  }
}));

// Cancel the in-progress assistant response (barge-in)
ws.send(JSON.stringify({ type: 'response.cancel' }));
```

**Learn more** in the [Telnyx WebSocket API reference](https://developers.telnyx.com/api-reference/websockets/talk-to-an-ai-assistant-over-websocket) or the [Voice AI Assistants docs](https://telnyx.com/products/voice-ai).