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Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java.
Passed 20 of 21 test cases with the skill, and 13 of 21 without it.
and 11 more in the full report
8 fixed13 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am setting up a Maven pom.xml file to use the Azure AI Anomaly Detector Java SDK. Which artifact coordinate and version should I declare in my dependencies for the latest 3.0 series beta release? Please show the XML configuration snippet.
| Checked | Without skill | With skill |
|---|---|---|
| Declares artifactId azure-ai-anomalydetector in the dependency block. | Passed | Passed |
| Specifies version 3.0.0-beta.6 for the dependency. | Missed | Passed |
The instructions your model reads when the skill loads.
Build anomaly detection applications using the Azure AI Anomaly Detector SDK for Java.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-anomalydetector</artifactId>
<version>3.0.0-beta.6</version>
</dependency>
import com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder;
import com.azure.ai.anomalydetector.MultivariateClient;
import com.azure.ai.anomalydetector.UnivariateClient;
import com.azure.core.credential.AzureKeyCredential;
String endpoint = System.getenv("AZURE_ANOMALY_DETECTOR_ENDPOINT");
String key = System.getenv("AZURE_ANOMALY_DETECTOR_API_KEY");
// Multivariate client for multiple correlated signals
MultivariateClient multivariateClient = new AnomalyDetectorClientBuilder()
.credential(new AzureKeyCredential(key))
.endpoint(endpoint)
.buildMultivariateClient();
// Univariate client for single variable analysis
UnivariateClient univariateClient = new AnomalyDetectorClientBuilder()
.credential(new AzureKeyCredential(key))
.endpoint(endpoint)
.buildUnivariateClient();
test cases passed, vs 13 / 21 without
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