@@ -4,14 +4,14 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 12/11/2025
+ms.date: 01/07/2026
 ms.author: lajanuar
 ---
 [Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [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 an entity linking application with the client library for .NET. In the following example, you create a C# application that can identify and disambiguate entities found in text.
 
-[!INCLUDE [Use Microsoft Foundry](../../../includes/use-microsoft-foundry.md)]
+[!INCLUDE [Use Microsoft Foundry](../../../includes/microsoft-foundry/tip-you-can-use-foundry.md)]
 
 ## Prerequisites
 
@@ -33,12 +33,10 @@ Use this quickstart to create an entity linking application with the client libr
 
 ### 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 step creates a "Hello World" project with a single C# source file: *program.cs*.
 
 Install the client library by right-clicking 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).
 
-
-
 ## Code example
 
 Copy the following code into your *program.cs* file and run the code. 
@@ -141,11 +139,9 @@ Linked Entities:
 
 [!INCLUDE [clean up resources](../../../includes/clean-up-resources.md)]
 
-
-
 ## Next steps
 
 * [Entity linking language support](../../language-support.md)
 * [How to call the entity linking API](../../how-to/call-api.md)  
 * [Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet)
-* [Additional samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples)
+* [More samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples)

@@ -0,0 +1,18 @@
+---
+ title: include file
+ description: Microsoft foundry introductory paragraph
+ #services: cognitive-services
+ author: laujan
+ ms.service: azure-ai-language
+ ms.topic: include
+ ms.date: 12/18/2025
+ ms.author: lajanuar
+ms.custom: include
+---
+Microsoft Foundry offers a unified platform for building, managing, and deploying AI solutions with a wide array of models and tools. Foundry playgrounds are interactive environments within the Foundry portal designed for exploring, testing, and prototyping with various AI models and tools.
+
+> [!NOTE]
+>
+> * If you already have an Azure Language in Foundry Tools or multi-service resource—whether used on its own or through Language Studio—you can continue to use those existing Language resources within the Microsoft Foundry portal.
+> * For more information, see [How to use Foundry Tools in the Foundry portal](/azure/ai-services/connect-services-ai-foundry-portal).
+> * We highly recommended that you use a Foundry resource in the Foundry; however, you can also follow these instructions using a Language resource.
\ No newline at end of file

@@ -0,0 +1,22 @@
+---
+ title: include file
+ description: Language playground layout and page orientation
+ #services: cognitive-services
+ author: laujan
+ ms.service: azure-ai-language
+ ms.topic: include
+ ms.date: 01/07/2026
+ ms.author: lajanuar
+ms.custom: include
+---
+
+## Understanding the Language playground layout
+
+The Language playground consists of four primary sections:
+
+- **Top banner**: Select from the available Language capabilities including language detection, entity recognition, sentiment analysis, Personally Identifiable Information (PII) detection, summarization, and conversational language understanding.
+- **Left pane**: Configure service options such as API version, model version, and capability-specific parameters (language selection, entity types, redaction policies).
+- **Center pane**: Enter or upload text for processing. Results display here after you execute the operation.
+- **Right pane**: View detailed operation results including entity categories, confidence scores, offsets, and JSON-formatted responses.
+
+After processing your text, select **View code** to access multilingual code samples in Python, C#, JavaScript, and other languages for integration into your applications.

@@ -0,0 +1,19 @@
+## Prerequisites
+
+* An **Azure subscription**. If you don't have one, you can [create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
+
+* The **Requisite permissions**. Make sure the person establishing the account and project is assigned as the Azure AI Account Owner role at the subscription level. Alternatively, having either the **Contributor** or **Cognitive Services Contributor** role at the subscription scope also meets this requirement. For more information, *see* [Role based access control (RBAC)](/azure/ai-foundry/openai/how-to/role-based-access-control).
+
+*  An [**Language resource with a storage account**](https://portal.azure.com/?Microsoft_Azure_PIMCommon=true#create/Microsoft.CognitiveServicesTextAnalytics). On the **select additional features** page, select the **Custom text classification, Custom named entity recognition, Custom sentiment analysis & Custom Text Analytics for health** box to link a required storage account to this resource:
+
+    :::image type="content" source="../../media/foundry-next/select-additional-features.png" alt-text="Screenshot of the select additional features option in the Foundry.":::
+
+  > [!NOTE]
+  >  * You need to have an **owner** role assigned on the resource group to create a Language resource.
+  >  * If you're connecting a preexisting storage account, you should have an owner role assigned to it.
+  >  * Don't move the storage account to a different resource group or subscription once linked with Azure Language resource.
+
+
+* **A Foundry project created in the Foundry**. For more information, *see* [Create a Foundry project](/azure/ai-foundry/how-to/create-projects).
+
+* **A custom NER dataset uploaded to your storage container**. A custom named entity recognition (NER) dataset is the collection of labeled text documents used to train your custom NER model. You can [download our sample dataset](https://go.microsoft.com/fwlink/?linkid=2175226) for this quickstart. The source language is English.

@@ -0,0 +1,18 @@
+---
+ title: include file
+ description: Microsoft foundry prerequisites
+ #services: cognitive-services
+ author: laujan
+ ms.service: azure-ai-language
+ ms.topic: include
+ ms.date: 12/18/2025
+ ms.author: lajanuar
+ms.custom: include
+---
+
+## Prerequisites
+
+* **Azure subscription**. If you don't have one, you can [create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
+* **Requisite permissions**. Make sure the person establishing the account and project is assigned as the Azure AI Account Owner role at the subscription level. Alternatively, having either the **Contributor** or **Cognitive Services Contributor** role at the subscription scope also meets this requirement. For more information, *see* [Role based access control (RBAC)](/azure/ai-foundry/openai/how-to/role-based-access-control#cognitive-services-contributor).
+*  [Foundry resource](/azure/ai-services/multi-service-resource). For more information, *see* [Configure a Foundry resource](../../../concepts/configure-azure-resources.md). Alternately, you can use a [Language resource](https://portal.azure.com/?Microsoft_Azure_PIMCommon=true#create/Microsoft.CognitiveServicesTextAnalytics).
+* **A Foundry project created in the Foundry**. For more information, *see* [Create a Foundry project](/azure/ai-foundry/how-to/create-projects).

@@ -1,6 +1,6 @@
 ---
  title: include file
- description: include file
+ description: tip
  #services: cognitive-services
  author: laujan
  ms.service: azure-ai-language

@@ -2,36 +2,26 @@
 author: laujan
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 11/18/2025
+ms.date: 01/07/2026
 ms.author: lajanuar
 ---
-[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 create a Python application that can identify the language a text sample was written in.
-
-[!INCLUDE [Use Microsoft Foundry](../../../includes/use-microsoft-foundry.md)]
-
+<!-- markdownlint-disable MD041 -->
+[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 create a Python application that can identify the language a text sample was written in.
+[!INCLUDE [Use Microsoft Foundry](../../../includes/microsoft-foundry/tip-you-can-use-foundry.md)]
 
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn)
 * [Python 3.8 or later](https://www.python.org/)
 
-
 ## Setting up
 
 [!INCLUDE [Create an Azure resource](../../../includes/create-resource.md)]
 
-
-
 [!INCLUDE [Get your key and endpoint](../../../includes/get-key-endpoint.md)]
 
-
-
 [!INCLUDE [Create environment variables](../../../includes/environment-variables.md)]
 
-
 ### Install the client library
 
 After installing Python, you can install the client library with:
@@ -40,10 +30,9 @@ After installing Python, you can install the client library with:
 pip install azure-ai-textanalytics==5.2.0
 ```
 
-
 ## Code example
 
-Create a new Python file and copy the below code. Then run the code.  
+Create a new Python file and copy the below code. Then run the code.
 
 ```python
 # This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"
@@ -53,11 +42,11 @@ 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 
+# Authenticate the client using your key and endpoint
 def authenticate_client():
     ta_credential = AzureKeyCredential(language_key)
     text_analytics_client = TextAnalyticsClient(
-            endpoint=language_endpoint, 
+            endpoint=language_endpoint,
             credential=ta_credential)
     return text_analytics_client
 
@@ -75,7 +64,6 @@ def language_detection_example(client):
 language_detection_example(client)
 ```
 
-
 ### Output
 
 ```console

@@ -6,40 +6,32 @@ ms.topic: include
 ms.date: 11/18/2025
 ms.author: lajanuar
 ---
+<!-- markdownlint-disable MD041 -->
 [Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [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 Named Entity Recognition (NER) application with the client library for .NET. In the following example, you will create a C# application that can identify [recognized entities](../../concepts/named-entity-categories.md) in text.
+Use this quickstart to create a Named Entity Recognition (NER) application with the client library for .NET. In the following example, you create a C# application that can identify [recognized entities](../../concepts/named-entity-categories.md) in text.
 
-[!INCLUDE [Use Microsoft Foundry](../../../includes/use-microsoft-foundry.md)]
+[!INCLUDE [Use Microsoft Foundry](../../../includes/microsoft-foundry/tip-you-can-use-foundry.md)]
 
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn)
 * The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/)
 
-
-
 ## Setting up
 
-
 [!INCLUDE [Create an Azure resource](../../../includes/create-resource.md)]
 
-
-
 [!INCLUDE [Get your key and endpoint](../../../includes/get-key-endpoint.md)]
 
-
-
 [!INCLUDE [Create environment variables](../../../includes/environment-variables.md)]
 
-
 ### Create a new .NET Core application
 
-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*.
+Using the Visual Studio IDE, create a new .NET Core console app. This step creates a "Hello World" project with a single C# source file: *program.cs*.
 
 Install the client library by right-clicking 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).
 
-
 ## Code example
 
 Copy the following code into your *program.cs* file and run the code.
@@ -85,7 +77,6 @@ namespace Example
 }
 ```
 
-
 ## Output
 
 ```console

@@ -1,15 +1,17 @@
 ---
 title: Quickstart - Orchestration workflow
 titleSuffix: Foundry Tools
-description: Quickly start creating an AI model to connect your Conversational Language Understanding, question answering and LUIS applications.
+description: Quickly start creating an AI model to connect your Conversational Language Understanding, question answering applications.
 author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: quickstart
-ms.date: 11/18/2025
+ms.date: 01/07/2026
 ms.author: lajanuar
 ms.custom: language-service-clu, mode-other
 ---
+<!-- markdownlint-disable MD025 -->
+
 # Quickstart: Orchestration workflow
 
 Use this article to get started with Orchestration workflow projects using the REST API. Follow these steps to try out an example.

@@ -10,12 +10,12 @@ ms.custom:
   - ignite-2024
   - build-2025
 ---
+<!-- markdownlint-disable MD041 -->
 [Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [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 Personally Identifiable Information (PII) detection application with the client library for .NET. In the following example, you create a C# application that can identify [recognized sensitive information](../../concepts/entity-categories.md) in text.
 
-[!INCLUDE [Use Microsoft Foundry](../use-microsoft-foundry.md)]
-
+[!INCLUDE [Tip: use Microsoft Foundry](../use-microsoft-foundry.md)]
 
 ## Prerequisites
 
@@ -29,12 +29,10 @@ Use this quickstart to create a Personally Identifiable Information (PII) detect
 
 ### Create a new .NET Core application
 
-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*.
+Using the Visual Studio IDE, create a new .NET Core console app. This step creates a "Hello World" project with a single C# source file: *program.cs*.
 
 Install the client library by right-clicking 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).
 
-
-
 ## Code example
 
 Copy the following code into your *program.cs* file and run the code.
@@ -90,8 +88,6 @@ namespace Example
 }
 ```
 
-
-
 ## Output
 
 ```console

@@ -10,6 +10,7 @@ ms.custom:
   - ignite-2024
   - build-2025
 ---
+<!-- markdownlint-disable MD041 -->
 [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 Personally Identifiable Information (PII) detection application with the client library for Java. In the following example, you create a Java application that can identify [recognized sensitive information](../../concepts/entity-categories.md) in text.
@@ -40,11 +41,9 @@ Create a Maven project in your preferred IDE or development environment. Then ad
 </dependencies>
 ```
 
-
-
 ## Code example
 
-Create a Java file named `Example.java`. Open the file and copy the below code. Then run the code. 
+Create a Java file named `Example.java`. Open the file and copy the following code. Then run the code.
 
 ```java
 import com.azure.core.credential.AzureKeyCredential;
@@ -70,7 +69,7 @@ public class Example {
                 .buildClient();
     }
 
-    // Example method for detecting sensitive information (PII) from text 
+    // Example method for detecting sensitive information (PII) from text
     static void recognizePiiEntitiesExample(TextAnalyticsClient client)
     {
         // The text that need be analyzed.
@@ -86,8 +85,6 @@ public class Example {
 
 ```
 
-
-
 ## Output
 
 ```console

@@ -2,39 +2,40 @@
 author: laujan
 ms.author: lajanuar
 manager: nitinme
-ms.date: 11/18/2025
+ms.date: 01/07/2026
 ms.service: azure-ai-language
 ms.topic: include
 ms.custom:
   - devx-track-js
   - ignite-2024
   - build-2025
 ---
-[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) 
+<!-- markdownlint-disable MD041 -->
+[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 Personally Identifiable Information (PII) detection application with the client library for Node.js. In the following example, you create a JavaScript application that can identify [recognized sensitive information](../../concepts/entity-categories.md) in text.
 
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn)
 * Once you have your Azure subscription, [create a Foundry resource](../../../../../ai-services/multi-service-resource.md?pivots=azportal).
-* [Node.js](https://nodejs.org/) v14 LTS or later
+* [Node.js](https://nodejs.org/) v14 `LTS` or later
 
 ## Setting up
 
 [!INCLUDE [Create environment variables](../../../includes/environment-variables.md)]
 
 ### Create a new Node.js application
 
-In a console window (such as cmd, PowerShell, or Bash), create a new directory for your app, and navigate to it. 
+In a console window (such as cmd, PowerShell, or Bash), create a new directory for your app, and navigate to it.
 
 ```console
-mkdir myapp 
+mkdir myapp
 
 cd myapp
 ```
 
-Run the `npm init` command to create a node application with a `package.json` file. 
+Run the `npm init` command to create a node application with a `package.json` file.
 
 ```console
 npm init
@@ -48,11 +49,9 @@ Install the npm package:
 npm install @azure/ai-text-analytics
 ```
 
-
-
 ## Code example
 
-Open the file and copy the below code. Then run the code.
+Open the file and copy the following sample and run the code.
 
 ```javascript
 "use strict";
@@ -68,13 +67,13 @@ const documents = [ "The employee's phone number is (555) 555-5555." ];
 
 async function main() {
     console.log(`PII recognition sample`);
-  
+
     const client = new TextAnalyticsClient(endpoint, new AzureKeyCredential(key));
-  
+
     const documents = ["My phone number is 555-555-5555"];
-  
+
     const [result] = await client.analyze("PiiEntityRecognition", documents, "en");
-  
+
     if (!result.error) {
       console.log(`Redacted text: "${result.redactedText}"`);
       console.log("Pii Entities: ");
@@ -89,8 +88,6 @@ console.error("The sample encountered an error:", err);
 });
 ```
 
-
-
 ## Output
 
 ```console

@@ -6,5 +6,6 @@ ms.date: 12/11/2025
 ms.author: lajanuar
 ms.custom: include, ignite-2024
 ---
+<!-- markdownlint-disable MD041 -->
 > [!TIP]
-> You can use [**Microsoft Foundry**](https://ai.azure.com/) to try Azure Language features without needing to write code.
+> You can try the [**Microsoft Foundry**](https://ai.azure.com/) platform to perform Azure Language tasks without the need to write code.

@@ -10,6 +10,7 @@ ms.custom:
   - ignite-2024
   - build-2025
 ---
+<!-- markdownlint-disable MD041 -->
 [Reference documentation](/javascript/api/overview/azure/ai-language-text-readme?view=azure-node-latest&preserve-view=true) | [Additional samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-text-analytics/v/5.2.0-beta.1) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/textanalytics/ai-text-analytics) 
 
 Use this quickstart to create a text summarization application with the client library for Node.js. In the following example, you create a JavaScript application that can summarize documents.
@@ -21,18 +22,14 @@ Use this quickstart to create a text summarization application with the client l
 * Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn)
 * [Node.js](https://nodejs.org/) v16 LTS
 * Once you have your Azure subscription, [create a Foundry resource](../../../../../ai-services/multi-service-resource.md?pivots=azportal).
-    * 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.
+  * 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 need a Language resource with the standard (S) pricing tier.
 
-
-
 ## Setting up
 
 [!INCLUDE [Create environment variables](../../../includes/environment-variables.md)]
 
-
-
 ### Create a new Node.js application
 
 In a console window (such as cmd, PowerShell, or Bash), create a new directory for your app, and navigate to it. 

@@ -10,4 +10,4 @@
 ms.custom: include, build-2024, ignite-2024
 ---
 > [!TIP]
-> You can use [**Microsoft Foundry**](https://ai.azure.com/) to try summarization without needing to write code. 
+> You can try the [**Microsoft Foundry**](https://ai.azure.com/) platform to perform summarization tasks without the need to write code.

@@ -15,11 +15,12 @@ ms.custom: language-service-health, mode-api, devx-track-extended-java, devx-tra
 keywords: text mining, health, text analytics for health
 zone_pivot_groups: programming-languages-text-analytics
 ---
+<!-- markdownlint-disable MD025 -->
 # Quickstart: Using Text Analytics for health client library and REST API
 
 This article contains Text Analytics for health quickstarts that help with using the supported client libraries, C#, Java, NodeJS, and Python and the REST API.
 
-[!INCLUDE [Use Microsoft Foundry](../includes/use-microsoft-foundry.md)]
+[!INCLUDE [Use Microsoft Foundry](../includes/microsoft-foundry/tip-you-can-use-foundry.md)]
 ::: zone pivot="programming-language-csharp"
 
 [!INCLUDE [C# quickstart](includes/quickstarts/csharp-sdk.md)]
@@ -63,8 +64,6 @@ To clean up and remove an Azure AI resource, you can delete either the individua
 * [Azure portal](../../multi-service-resource.md?pivots=azportal#clean-up-resources)
 * [Azure CLI](../../multi-service-resource.md?pivots=azcli#clean-up-resources)
 
-
-
 ## Next steps
 
 * [How to call the hosted API](./how-to/call-api.md)