/telnyx-voice-gather-javascript

name: telnyx-voice-gather-javascript
description: >-
  Collect DTMF input and speech from callers using standard gather or AI-powered
  gather. Build interactive voice menus and AI voice assistants. This skill
  provides JavaScript SDK examples.
metadata:
  author: telnyx
  product: voice-gather
  language: javascript
  generated_by: telnyx-openapi-pipeline

<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->

Telnyx Voice Gather - JavaScript

Installation

npm install telnyx@6.74.2

Setup

import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
  publicKey: process.env['TELNYX_PUBLIC_KEY'], // Required for client.webhooks.unwrap() (webhook verification)
});

All examples below assume `client` is already initialized as shown above.

Error Handling

All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:

try {
  const result = await client.messages.send({ to: '+13125550001', from: '+13125550002', text: 'Hello' });
} catch (err) {
  if (err instanceof Telnyx.APIConnectionError) {
    console.error('Network error — check connectivity and retry');
  } else if (err instanceof Telnyx.RateLimitError) {
    // 429: rate limited — wait, then retry the request (bounded exponential backoff)
    const retryAfter = err.headers?.['retry-after'] || 1;
    await new Promise(r => setTimeout(r, retryAfter * 1000));
    // ...retry the call here (give up after a few attempts)
  } else if (err instanceof Telnyx.APIError) {
    console.error(`API error ${err.status}: ${err.message}`);
    if (err.status === 422) {
      console.error('Validation error — check required fields and formats');
    }
  }
  throw err; // Re-throw: a failed request must never look like success to the caller
}

Common error codes: `401` invalid API key, `403` insufficient permissions, `404` resource not found, `422` validation error (check field formats), `429` rate limited (retry with exponential backoff).

Add messages to AI Assistant

Add messages to the conversation started by an AI assistant on the call.

`POST /calls/{call_control_id}/actions/ai_assistant_add_messages`

Optional: `client_state` (string), `command_id` (string), `messages` (array[object]), `trigger_response` (boolean)

const response = await client.calls.actions.addAIAssistantMessages('v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ');

console.log(response.data);

Returns: `result` (string)

Start AI Assistant

Start an AI assistant on the call. **Expected Webhooks:**

• [`call.conversation.created`](/api-reference/callbacks/call-conversation-created) includes `conversation_id` during startup
• `call.conversation.ended`
• `call.conversation_insights.generated`

`POST /calls/{call_control_id}/actions/ai_assistant_start`

Optional: `assistant` (object), `client_state` (string), `command_id` (string), `greeting` (string), `interruption_settings` (object), `message_history` (array[object]), `participants` (array[object]), `send_message_history_updates` (boolean), `transcription` (object)

const response = await client.calls.actions.startAIAssistant('v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ');

console.log(response.data);

Returns: `conversation_id` (uuid), `result` (string)

Stop AI Assistant

Stops the AI assistant currently engaged on the call. The call remains active and can continue with other call control commands.

`POST /calls/{call_control_id}/actions/ai_assistant_stop`

Optional: `client_state` (string), `command_id` (string)

const response = await client.calls.actions.stopAIAssistant('v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ');

console.log(response.data);

Returns: `result` (string)

Gather

Gather DTMF signals to build interactive menus. You can pass a list of valid digits. The `Answer` command must be issued before the `gather` command.

`POST /calls/{call_control_id}/actions/gather`

Optional: `client_state` (string), `command_id` (string), `gather_id` (string), `initial_timeout_millis` (int32), `inter_digit_timeout_millis` (int32), `maximum_digits` (int32), `minimum_digits` (int32), `terminating_digit` (string), `timeout_millis` (int32), `valid_digits` (string)

const response = await client.calls.actions.gather('v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ', {
    minimum_digits: 1,
    maximum_digits: 4,
});

console.log(response.data);

Returns: `result` (string)

Gather stop

Stop current gather. **Expected Webhooks:**

• `call.gather.ended`

`POST /calls/{call_control_id}/actions/gather_stop`

Optional: `client_state` (string), `command_id` (string)

const response = await client.calls.actions.stopGather('v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ');

console.log(response.data);

Returns: `result` (string)

Gather using AI

Gather parameters defined in the request payload using a voice assistant. You can pass parameters described as a JSON Schema object and the voice assistant will attempt to gather these informations.

`POST /calls/{call_control_id}/actions/gather_using_ai` — Required: `parameters`

Optional: `assistant` (object), `client_state` (string), `command_id` (string), `gather_ended_speech` (string), `greeting` (string), `interruption_settings` (object), `language` (object), `message_history` (array[object]), `send_message_history_updates` (boolean), `send_partial_results` (boolean), `transcription` (object), `user_response_timeout_ms` (integer), `voice` (string), `voice_settings` (object)

const response = await client.calls.actions.gatherUsingAI('v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ', {
  parameters: {
    properties: 'bar',
    required: 'bar',
    type: 'bar',
  },
});

console.log(response.data)