Merge branch 'main' into eur/entra-full-text-qs-csharp

Author: eric-urban

articles/ai-foundry/model-inference/how-to/quickstart-ai-project.md

@@ -125,10 +125,10 @@ You can use any of the supported SDKs to get predictions out from the endpoint.
 
 * OpenAI SDK
 * Azure OpenAI SDK
-* Azure AI Inference SDK
-* Azure AI Foundry SDK
+* Azure AI Inference package
+* Azure AI Projects package
 
-See the [supported languages and SDKs](../supported-languages.md) section for more details and examples. The following example shows how to use the Azure AI model inference SDK with the newly deployed model:
+See the [supported languages and SDKs](../supported-languages.md) section for more details and examples. The following example shows how to use the Azure AI Inference package with the newly deployed model:
 
 [!INCLUDE [code-create-chat-client](../includes/code-create-chat-client.md)]
 

articles/ai-foundry/model-inference/includes/feature-preview.md

@@ -3,7 +3,7 @@ title: include file
 description: include file
 author: msakande
 ms.author: mopeakande
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: include
 ms.date: 1/28/2025
 ms.custom: include file

articles/ai-foundry/model-inference/reference/reference-model-inference-api.md

@@ -3,7 +3,7 @@ title: Azure AI Model Inference API
 titleSuffix: Azure AI Foundry
 description: Learn about how to use the Azure AI Model Inference API
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: conceptual
 ms.date: 01/31/2025
 ms.reviewer: fasantia 

articles/ai-foundry/model-inference/reference/reference-model-inference-chat-completions.md

@@ -3,7 +3,7 @@ title: Azure AI Model Inference Chat Completions
 titleSuffix: Azure AI Foundry
 description: Reference for Azure AI Model Inference Chat Completions API
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: conceptual
 ms.date: 01/28/2025
 ms.reviewer: fasantia 

articles/ai-foundry/model-inference/reference/reference-model-inference-embeddings.md

@@ -3,7 +3,7 @@ title: Azure AI Model Inference Embeddings API
 titleSuffix: Azure AI Foundry
 description: Reference for Azure AI Model Inference Embeddings API
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: conceptual
 ms.date: 01/28/2025
 ms.reviewer: fasantia 

articles/ai-foundry/model-inference/reference/reference-model-inference-images-embeddings.md

@@ -3,7 +3,7 @@ title: Azure AI Model Inference Image Embeddings
 titleSuffix: Azure AI Foundry
 description: Reference for Azure AI Model Inference Image Embeddings API
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: conceptual
 ms.date: 01/28/2025
 ms.reviewer: fasantia 

articles/ai-foundry/model-inference/reference/reference-model-inference-info.md

@@ -3,7 +3,7 @@ title: Azure AI Model Inference Get Info
 titleSuffix: Azure AI Foundry
 description: Reference for Azure AI Model Inference Get Info API
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: conceptual
 ms.date: 01/28/2025
 ms.reviewer: fasantia 

articles/ai-services/agents/includes/bicep-setup.md

@@ -31,12 +31,16 @@ The following section shows you how to set up the required resources for getting
 | -----------------------------------------------| -----------------------|----------------------|
 | Deploy a basic agent setup that uses Managed Identity authentication on the AI Services and storage account connections. | AI hub, AI project, AI Services | [![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2Fquickstarts%2Fmicrosoft.azure-ai-agent-service%2Fbasic-agent-identity%2Fazuredeploy.json) |
 | Deploy a standard agent setup that uses Managed Identity authentication on the AI Services, storage account, and Azure AI Search connections. |AI hub, AI project, storage account, key vault, Azure AI Search, AI Services | [![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Frefs%2Fheads%2Fmaster%2Fquickstarts%2Fmicrosoft.azure-ai-agent-service%2Fstandard-agent%2Fazuredeploy.json)|
+
+
+old url
+https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Frefs%2Fheads%2Fmaster%2Fquickstarts%2Fmicrosoft.azure-ai-agent-service%2Fstandard-agent%2Fazuredeploy.json
 -->
 
 | Description and Autodeploy  |  Diagram (click to zoom in) |
 | -----------------------------------------------| -----------------------|
 | Deploy a basic agent setup that uses Managed Identity for authentication. Resources for the AI hub, AI project, storage account, and AI Services are created for you. <br><br> The AI Services account is connected to your project and hub, and a gpt-4o-mini model is deployed in the eastus region. A Microsoft-managed key vault is used by default. <br><br> [![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2Fquickstarts%2Fmicrosoft.azure-ai-agent-service%2Fbasic-agent-identity%2Fazuredeploy.json) |  :::image type="content" source="../media/quickstart/basic-agent-setup-resources.png" alt-text="An architecture diagram for basic agent setup." lightbox="../media/quickstart/basic-agent-setup-resources.png"::: | 
-| Deploy a standard agent setup that uses Managed Identity for authentication. <br><br> Resources for the AI hub, AI project, key vault, storage account, AI Services, and AI Search are created for you. <br><br>The AI Services, AI Search, key vault, and storage account are connected to your project and hub. A gpt-4o-mini model is deployed in eastus region. <br><br> [![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Frefs%2Fheads%2Fmaster%2Fquickstarts%2Fmicrosoft.azure-ai-agent-service%2Fstandard-agent%2Fazuredeploy.json) | :::image type="content" source="../media/quickstart/standard-agent-setup-resources.png" alt-text="An architecture diagram for standard agent setup." lightbox="../media/quickstart/standard-agent-setup-resources.png"::: |
+| Deploy a standard agent setup that uses Managed Identity for authentication. <br><br> Resources for the AI hub, AI project, key vault, storage account, AI Services, and AI Search are created for you. <br><br>The AI Services, AI Search, key vault, and storage account are connected to your project and hub. A gpt-4o-mini model is deployed in eastus region. <br><br> [![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Ffosteramanda%2Fazure-agent-quickstart-templates%2Frefs%2Fheads%2Fmaster%2Fquickstarts%2Fmicrosoft.azure-ai-agent-service%2Fstandard-agent%2Fazuredeploy.json) | :::image type="content" source="../media/quickstart/standard-agent-setup-resources.png" alt-text="An architecture diagram for standard agent setup." lightbox="../media/quickstart/standard-agent-setup-resources.png"::: |
 
 
 ### [Optional] Model selection in autodeploy template

articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-csharp.md

@@ -10,7 +10,7 @@ ms.date: 01/18/2024
 ms.author: mbullwin
 ---
 
-<a href="https://aka.ms/anomaly-detector-dotnet-ref" target="_blank">Library reference documentation</a> |<a href="https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/anomalydetector" target="_blank">Library source code</a> | <a href="https://www.nuget.org/packages/Azure.AI.AnomalyDetector/3.0.0-preview.5" target="_blank">Package (NuGet)</a> |<a href="https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/anomalydetector/Azure.AI.AnomalyDetector/samples" target="_blank">Find the sample code on GitHub</a>
+<a href="/dotnet/api/overview/azure/ai.anomalydetector-readme" target="_blank">Library reference documentation</a> |<a href="https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/anomalydetector" target="_blank">Library source code</a> | <a href="https://www.nuget.org/packages/Azure.AI.AnomalyDetector/3.0.0-preview.5" target="_blank">Package (NuGet)</a> |<a href="https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/anomalydetector/Azure.AI.AnomalyDetector/samples" target="_blank">Find the sample code on GitHub</a>
 
 Get started with the Anomaly Detector client library for C#. Follow these steps to install the package start using the algorithms provided by the service. The Anomaly Detector service enables you to find abnormalities in your time series data by automatically using the best-fitting models on it, regardless of industry, scenario, or data volume.
 

articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-javascript.md

@@ -11,7 +11,7 @@ ms.author: mbullwin
 ms.custom: devx-track-js
 ---
 
-<a href="https://go.microsoft.com/fwlink/?linkid=2090788" target="_blank">Library reference documentation</a> |<a href="https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/anomalydetector" target="_blank">Library source code</a> | <a href="https://www.npmjs.com/package/%40azure/ai-anomaly-detector" target="_blank">Package (npm)</a> |<a href="https://github.com/Azure-Samples/cognitive-services-quickstart-code/tree/master/javascript/AnomalyDetector" target="_blank">Find the sample code on GitHub</a>
+<a href="/javascript/api/overview/azure/ai-anomaly-detector-readme" target="_blank">Library reference documentation</a> |<a href="https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/anomalydetector" target="_blank">Library source code</a> | <a href="https://www.npmjs.com/package/%40azure/ai-anomaly-detector" target="_blank">Package (npm)</a> |<a href="https://github.com/Azure-Samples/cognitive-services-quickstart-code/tree/master/javascript/AnomalyDetector" target="_blank">Find the sample code on GitHub</a>
 
 Get started with the Anomaly Detector client library for JavaScript. Follow these steps to install the package, and start using the algorithms provided by the service. The Anomaly Detector service enables you to find abnormalities in your time series data by automatically using the best-fitting model on it, regardless of industry, scenario, or data volume.