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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.
Passed 23 of 24 test cases with the skill, and 6 of 24 without it.
and 24 more in the full report
17 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a Java code line to stop an active AI assistant on a Telnyx call using call control ID 'v3:550e8400-e29b-41d4-a716-446655440000_gRU1OGRkYQ'.
| Checked | Without skill | With skill |
|---|---|---|
| Calls client.calls().actions().stopAiAssistant with the call control ID. | Missed | Passed |
The instructions your model reads when the skill loads.
<!-- Maven -->
<dependency>
<groupId>com.telnyx.sdk</groupId>
<artifactId>telnyx</artifactId>
<version>6.89.0</version>
</dependency>
// Gradle
implementation("com.telnyx.sdk:telnyx:6.89.0")
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.
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) {
test cases passed, vs 6 / 24 without
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