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/telnyx-voice-gather-java

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 Java SDK examples.

From plugin
team-telnyx-ai
207200 skills3 agents
Install
$ npx -y skills add team-telnyx/ai --skill telnyx-voice-gather-java --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/telnyx-voice-gather-java

Context preview

The summary Claude sees to decide when to auto-load this skill.

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 Java SDK examples.

SKILL.md

telnyx-voice-gather-java.SKILL.md
name: telnyx-voice-gather-java
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 Java SDK examples.
metadata:
  author: telnyx
  product: voice-gather
  language: java
  generated_by: telnyx-openapi-pipeline

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

Telnyx Voice Gather - Java

Installation

<!-- Maven -->
<dependency>
    <groupId>com.telnyx.sdk</groupId>
    <artifactId>telnyx</artifactId>
    <version>6.84.0</version>
</dependency>

// Gradle
implementation("com.telnyx.sdk:telnyx:6.84.0")

Setup

import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;

TelnyxClient client = TelnyxOkHttpClient.fromEnv();

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:

import com.telnyx.sdk.errors.TelnyxServiceException;

try {
    var result = client.messages().send(params);
} catch (TelnyxServiceException e) {
    System.err.println("API error " + e.statusCode() + ": " + e.getMessage());
    if (e.statusCode() == 422) {
        System.err.println("Validation error — check required fields and formats");
    } else if (e.statusCode() == 429) {
        // Rate limited — wait and retry with exponential backoff
        Thread.sleep(1000);
    }
}

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])

import com.telnyx.sdk.models.calls.actions.ActionAddAiAssistantMessagesParams;
import com.telnyx.sdk.models.calls.actions.ActionAddAiAssistantMessagesResponse;

ActionAddAiAssistantMessagesResponse response = client.calls().actions().addAiAssistantMessages("v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ");

Returns: `result` (string)

Start AI Assistant

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

  • `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), `voice` (string), `voice_settings` (object)

import com.telnyx.sdk.models.calls.actions.ActionStartAiAssistantParams;
import com.telnyx.sdk.models.calls.actions.ActionStartAiAssistantResponse;

ActionStartAiAssistantResponse response = client.calls().actions().startAiAssistant("v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ");

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

Stop AI Assistant

Stop an AI assistant on the call.

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

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

import com.telnyx.sdk.models.calls.actions.ActionStopAiAssistantParams;
import com.telnyx.sdk.models.calls.actions.ActionStopAiAssistantResponse;

ActionStopAiAssistantResponse response = client.calls().actions().stopAiAssistant("v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ");

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)

import com.telnyx.sdk.models.calls.actions.ActionGatherParams;
import com.telnyx.sdk.models.calls.actions.ActionGatherResponse;

ActionGatherResponse response = client.calls().actions().gather("v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ");

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)

import com.telnyx.sdk.models.calls.actions.ActionStopGatherParams;
import com.telnyx.sdk.models.calls.actions.ActionStopGatherResponse;

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

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)

import com.telnyx.sdk.core.JsonValue;
import com.telnyx.sdk.models.calls.actions.ActionGatherUsingAiParams;
import com.telnyx.sdk.models.calls.actions.ActionGatherUsingAiResponse;

ActionGatherUs
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