@azure-rest/ai-anomaly-detector

Azure AnomalyDetectorRest REST client library for JavaScript

AnomalyDetector Rest Client

Please rely heavily on our REST client docs to use this library

Key links:

• Source code
• Package (NPM)
• API reference documentation
• Samples

Getting started

Currently supported environments

• LTS versions of Node.js

Prerequisites

• You must have an Azure subscription to use this package.

Install the @azure-rest/ai-anomaly-detector package

Install the Azure AnomalyDetectorRest REST client REST client library for JavaScript with npm:

npm install @azure-rest/ai-anomaly-detector

Create and authenticate a AnomalyDetectorRestClient

To use an Azure Active Directory (AAD) token credential, provide an instance of the desired credential type obtained from the @azure/identity library.

To authenticate with AAD, you must first npm install @azure/identity

After setup, you can choose which type of credential from @azure/identity to use. As an example, DefaultAzureCredential can be used to authenticate the client.

Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET

Troubleshooting

Logging

Enabling logging may help uncover useful information about failures. In order to see a log of HTTP requests and responses, set the AZURE_LOG_LEVEL environment variable to info. Alternatively, logging can be enabled at runtime by calling setLogLevel in the @azure/logger:

const { setLogLevel } = require("@azure/logger");

setLogLevel("info");

For more detailed instructions on how to enable logs, you can look at the @azure/logger package docs.