Merge branch 'main' into eur/group-models

Author: eric-urban

.openpublishing.publish.config.json

@@ -974,6 +974,12 @@
       "branch": "main",
       "branch_mapping": {}
     },
+    {
+      "path_to_root": "azure-typescript-e2e-apps",
+      "url": "https://github.com/Azure-Samples/azure-typescript-e2e-apps",
+      "branch": "main",
+      "branch_mapping": {}
+    },
     {
       "path_to_root": "azure-webpubsub",
       "url": "https://github.com/Azure/azure-webpubsub",
@@ -1232,6 +1238,7 @@
   ".openpublishing.redirection.government.json",
   ".openpublishing.redirection.guidance.json",
   ".openpublishing.redirection.industry.json",
+  ".openpublishing.redirection.iot-accelerators.json",
   ".openpublishing.redirection.iot-develop.json",
   ".openpublishing.redirection.iot-hub-device-update.json",
   ".openpublishing.redirection.json",
@@ -1297,7 +1304,6 @@
   "articles/hdinsight/.openpublishing.redirection.hdinsight.json",
   "articles/healthcare-apis/.openpublishing.redirection.healthcare-apis.json",
   "articles/internet-peering/.openpublishing.redirection.internet-peering.json",
-  "articles/iot-accelerators/.openpublishing.redirection.iot-accelerators.json",
   "articles/iot-central/.openpublishing.redirection.iot-central.json",
   "articles/iot-dps/.openpublishing.redirection.iot-dps.json",
   "articles/iot-edge/.openpublishing.redirection.iot-edge.json",

articles/iot-accelerators/.openpublishing.redirection.iot-accelerators.json renamed to .openpublishing.redirection.iot-accelerators.json

@@ -440,6 +440,26 @@
       "redirect_url": "/azure/iot-develop/about-iot-develop",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/iot-develop/quickstart-devkit-mxchip-az3166-iot-hub.md",
+      "redirect_url": "/azure/iot/tutorial-devkit-mxchip-az3166-iot-hub",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/iot-develop/quickstart-devkit-stm-b-l475e-iot-hub.md",
+      "redirect_url": "/azure/iot/tutorial-devkit-stm-b-l475e-iot-hub",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/iot-develop/concepts-azure-rtos-security-practices.md",
+      "redirect_url": "/azure/iot/concepts-eclipse-threadx-security-practices",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/iot-develop/troubleshoot-embedded-device-quickstarts.md",
+      "redirect_url": "/azure/iot/troubleshoot-embedded-device-tutorials",
+      "redirect_document_id": false
+    }, 
     {
       "source_path_from_root": "/articles/iot-develop/how-to-use-reliability-features-in-sdks.md",
       "redirect_url": "/azure/iot-develop/concepts-manage-device-reconnections",

.openpublishing.redirection.iot-develop.json

@@ -3974,6 +3974,11 @@
             "source_path_from_root":"/articles/trusted-signing/concept.md",
             "redirect_url":"/azure/trusted-signing/concept-trustedsigning-resources-roles",
             "redirect_document_id":false 
+        },
+        {
+            "source_path_from_root":"/articles/container-instances/availability-zones.md",
+            "redirect_url":"/azure/reliability/reliability-containers",
+            "redirect_document_id":false 
         }
     ]
 }

.openpublishing.redirection.json

@@ -2042,9 +2042,14 @@
     },
     {
       "source_path_from_root": "/articles/cognitive-services/speech-service/migrate-v2-to-v3.md",
-      "redirect_url": "/azure/ai-services/speech-service/migrate-v2-to-v3",
+      "redirect_url": "/azure/ai-services/speech-service/migrate-v3-1-to-v3-2",
       "redirect_document_id": true
     },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/migrate-v2-to-v3.md",
+      "redirect_url": "/azure/ai-services/speech-service/migrate-v3-1-to-v3-2",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/cognitive-services/speech-service/migrate-v3-0-to-v3-1.md",
       "redirect_url": "/azure/ai-services/speech-service/migrate-v3-0-to-v3-1",

articles/ai-services/.openpublishing.redirection.ai-services-from-cog.json

@@ -3,13 +3,13 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 12/19/2023
+ms.date: 03/29/2024
 ms.author: jboback
 ---
 
-[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet-preview) | [Additional samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.TextAnalytics/5.2.0) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics)
+[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet-preview) | [More samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.TextAnalytics/5.2.0) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics)
 
-Use this quickstart to create a language detection application with the client library for .NET. In the following example, you will create a C# application that can identify the language a text sample was written in.
+Use this quickstart to create a language detection application with the client library for .NET. In the following example, you create a C# application that can identify the language a text sample was written in.
 
 [!INCLUDE [Use Language Studio](../../../includes/use-language-studio.md)]
 
@@ -18,18 +18,18 @@ Use this quickstart to create a language detection application with the client l
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 * The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/)
-* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint.  After it deploys, select **Go to resource**.
-    * You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
+* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
+    * You need the key and endpoint from the resource you create to connect your application to the API. You paste your key and endpoint into the code later in the quickstart.
     * You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.
-* To use the Analyze feature, you will need a Language resource with the standard (S) pricing tier.
+* To use the Analyze feature, you need a Language resource with the standard (S) pricing tier.
 
 
 
 ## Setting up
 
 ### Create a new .NET Core application
 
-Using the Visual Studio IDE, create a new .NET Core console app. This will create a "Hello World" project with a single C# source file: *program.cs*.
+Using the Visual Studio IDE, create a new .NET Core console app. This creates a "Hello World" project with a single C# source file: *program.cs*.
 
 Install the client library by right-clicking on the solution in the **Solution Explorer** and selecting **Manage NuGet Packages**. In the package manager that opens select **Browse** and search for `Azure.AI.TextAnalytics`. Select version `5.2.0`, and then **Install**. You can also use the [Package Manager Console](/nuget/consume-packages/install-use-packages-powershell#find-and-install-a-package).
 
@@ -51,8 +51,10 @@ namespace LanguageDetectionExample
 {
     class Program
     {
-        private static readonly AzureKeyCredential credentials = new AzureKeyCredential("replace-with-your-key-here");
-        private static readonly Uri endpoint = new Uri("replace-with-your-endpoint-here");
+
+        // This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"
+        static string languageKey = Environment.GetEnvironmentVariable("LANGUAGE_KEY");
+        static string languageEndpoint = Environment.GetEnvironmentVariable("LANGUAGE_ENDPOINT");
 
         // Example method for detecting the language of text
         static void LanguageDetectionExample(TextAnalyticsClient client)
@@ -64,7 +66,7 @@ namespace LanguageDetectionExample
 
         static void Main(string[] args)
         {
-            var client = new TextAnalyticsClient(endpoint, credentials);
+            var client = new TextAnalyticsClient(languageEndpoint, languageKey);
             LanguageDetectionExample(client);
 
             Console.Write("Press any key to exit.");

articles/ai-services/language-service/language-detection/includes/quickstarts/csharp-sdk.md

@@ -3,14 +3,14 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 12/19/2023
+ms.date: 03/29/2024
 ms.custom: devx-track-java
 ms.author: jboback
 ---
 
-[Reference documentation](/java/api/overview/azure/ai-textanalytics-readme?preserve-view=true&view=azure-java-stable) | [Additional samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-textanalytics/5.2.0) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics) 
+[Reference documentation](/java/api/overview/azure/ai-textanalytics-readme?preserve-view=true&view=azure-java-stable) | [More samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-textanalytics/5.2.0) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics) 
 
-Use this quickstart to create a language detection application with the client library for Java. In the following example, you will create a Java application that can identify the language a text sample was written in.
+Use this quickstart to create a language detection application with the client library for Java. In the following example, you create a Java application that can identify the language a text sample was written in.
 
 [!INCLUDE [Use Language Studio](../../../includes/use-language-studio.md)]
 
@@ -20,9 +20,9 @@ Use this quickstart to create a language detection application with the client l
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 * [Java Development Kit](https://www.oracle.com/technetwork/java/javase/downloads/index.html) (JDK) with version 8 or above
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint.  After it deploys, select **Go to resource**.
-    * You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
+    * You need the key and endpoint from the resource you create to connect your application to the API. You paste your key and endpoint into the code below later in the quickstart.
     * You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.
-* To use the Analyze feature, you will need a Language resource with the standard (S) pricing tier.
+* To use the Analyze feature, you need a Language resource with the standard (S) pricing tier.
 
 
 
@@ -58,11 +58,12 @@ import com.azure.ai.textanalytics.TextAnalyticsClient;
 
 public class Example {
 
-    private static String KEY = "replace-with-your-key-here";
-    private static String ENDPOINT = "replace-with-your-endpoint-here";
+    // This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"
+    private static String languageKey = System.getenv("LANGUAGE_KEY");
+    private static String languageEndpoint = System.getenv("LANGUAGE_ENDPOINT");
 
     public static void main(String[] args) {
-        TextAnalyticsClient client = authenticateClient(KEY, ENDPOINT);
+        TextAnalyticsClient client = authenticateClient(languageKey, languageEndpoint);
         detectLanguageExample(client);
     }
     // Method to authenticate the client object with your key and endpoint

articles/ai-services/language-service/language-detection/includes/quickstarts/java-sdk.md

@@ -3,15 +3,15 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 12/19/2023
+ms.date: 03/29/2024
 ms.author: jboback
 ms.custom: devx-track-js
 ---
 
-[Reference documentation](/javascript/api/overview/azure/ai-language-text-readme) | [Additional samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/cognitivelanguage/ai-language-text/samples/v1) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-language-text) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/cognitivelanguage/ai-language-text) 
+[Reference documentation](/javascript/api/overview/azure/ai-language-text-readme) | [More samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/cognitivelanguage/ai-language-text/samples/v1) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-language-text) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/cognitivelanguage/ai-language-text) 
 
 
-Use this quickstart to create a language detection application with the client library for Node.js. In the following example, you will create a JavaScript application that can identify the language a text sample was written in.
+Use this quickstart to create a language detection application with the client library for Node.js. In the following example, you create a JavaScript application that can identify the language a text sample was written in.
 
 [!INCLUDE [Use Language Studio](../../../includes/use-language-studio.md)]
 
@@ -21,9 +21,9 @@ Use this quickstart to create a language detection application with the client l
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 * [Node.js](https://nodejs.org/) v14 LTS or later
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
-    * You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
+    * You need the key and endpoint from the resource you create to connect your application to the API. You paste your key and endpoint into the code below later in the quickstart.
     * You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.
-* To use the Analyze feature, you will need a Language resource with the standard (S) pricing tier.
+* To use the Analyze feature, you need a Language resource with the standard (S) pricing tier.
 
 
 
@@ -64,17 +64,18 @@ Open the file and copy the below code. Remember to replace the `key` variable wi
 ```javascript
 "use strict";
 
-const { TextAnalysisClient, AzureKeyCredential } = require("@azure/ai-language-text");
-const key = '<paste-your-key-here>';
-const endpoint = '<paste-your-endpoint-here>';
+const { TextAnalyticsClient, AzureKeyCredential } = require("@azure/ai-text-analytics");
+
+// This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"
+const key = process.env.LANGUAGE_KEY;
+const endpoint = process.env.LANGUAGE_ENDPOINT;
 
 //Example sentences in different languages to be analyzed
 const documents = [
     "This document is written in English.",
     "这是一个用中文写的文件",
 ];
 
-
 //Example of how to use the client library to detect language
 async function main() {
     console.log("== Language detection sample ==");

articles/ai-services/language-service/language-detection/includes/quickstarts/nodejs-sdk.md

@@ -2,14 +2,14 @@
 author: jboback
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 12/19/2023
+ms.date: 03/29/2024
 ms.author: jboback
 ---
 
-[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.2.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
+[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [More samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.2.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
 
 
-Use this quickstart to create a language detection application with the client library for Python. In the following example, you will create a Python application that can identify the language a text sample was written in.
+Use this quickstart to create a language detection application with the client library for Python. In the following example, you create a Python application that can identify the language a text sample was written in.
 
 [!INCLUDE [Use Language Studio](../../../includes/use-language-studio.md)]
 
@@ -19,9 +19,9 @@ Use this quickstart to create a language detection application with the client l
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 * [Python 3.8 or later](https://www.python.org/)
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
-    * You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
+    * You need the key and endpoint from the resource you create to connect your application to the API. You paste your key and endpoint into the code below later in the quickstart.
     * You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.
-* To use the Analyze feature, you will need a Language resource with the standard (S) pricing tier.
+* To use the Analyze feature, you need a Language resource with the standard (S) pricing tier.
 
 
 
@@ -44,17 +44,19 @@ Create a new Python file and copy the below code. Remember to replace the `key`
 [!INCLUDE [find the key and endpoint for a resource](../../../includes/find-azure-resource-info.md)]
 
 ```python
-key = "paste-your-key-here"
-endpoint = "paste-your-endpoint-here"
+
+# This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"
+language_key = os.environ.get('LANGUAGE_KEY')
+language_endpoint = os.environ.get('LANGUAGE_ENDPOINT')
 
 from azure.ai.textanalytics import TextAnalyticsClient
 from azure.core.credentials import AzureKeyCredential
 
 # Authenticate the client using your key and endpoint 
 def authenticate_client():
-    ta_credential = AzureKeyCredential(key)
+    ta_credential = AzureKeyCredential(language_key)
     text_analytics_client = TextAnalyticsClient(
-            endpoint=endpoint, 
+            endpoint=language_endpoint, 
             credential=ta_credential)
     return text_analytics_client