Bot 🤖 generated CleanRepo tool run (#45615)

Co-authored-by: gewarren <[email protected]>

Author: github-actions[bot]

docs/ai/ai-extensions.md

@@ -99,5 +99,5 @@ For an end-to-end sample using `Microsoft.Extensions.AI`, see [eShopSupport](htt
 
 ## Next steps
 
-- [Build an AI chat app with .NET](/dotnet/ai/quickstarts/build-chat-app)
-- [Quickstart - Summarize text using Azure AI chat app with .NET](/dotnet/ai/quickstarts/prompt-model)
+- [Build an AI chat app with .NET](quickstarts/build-chat-app.md)
+- [Quickstart - Summarize text using Azure AI chat app with .NET](quickstarts/prompt-model.md)

docs/ai/azure-ai-services-authentication.md

@@ -15,7 +15,7 @@ Application requests to Azure AI Services must be authenticated. In this article
 
 The sections ahead provide conceptual overviews for these two approaches, rather than detailed implementation steps. For more detailed information about connecting to Azure services, visit the following resources:
 
-- [Authenticate .NET apps to Azure services](/dotnet/azure/sdk/authentication/)
+- [Authenticate .NET apps to Azure services](../azure/sdk/authentication/index.md)
 - [Identity fundamentals](/entra/fundamentals/identity-fundamental-concepts)
 - [What is Azure RBAC?](/azure/role-based-access-control/overview)
 

docs/ai/dotnet-ai-ecosystem.md

@@ -63,7 +63,7 @@ Azure offers many other AI services to build specific application capabilities a
 
 .NET apps can also connect to local AI models for many different development scenarios. [Semantic Kernel](https://github.com/microsoft/semantic-kernel) is the recommended tool to connect to local models using .NET. Semantic Kernel can connect to many different models hosted across a variety of platforms and abstracts away lower-level implementation details.
 
-For example, you can use [Ollama](https://ollama.com/) to [connect to local AI models with .NET](/dotnet/ai/quickstarts/chat-local-model), including several small language models (SLMs) developed by Microsoft:
+For example, you can use [Ollama](https://ollama.com/) to [connect to local AI models with .NET](quickstarts/chat-local-model.md), including several small language models (SLMs) developed by Microsoft:
 
 | Model               | Description                                               |
 |---------------------|-----------------------------------------------------------|
@@ -84,7 +84,7 @@ This article summarized the tools and SDKs in the .NET ecosystem, with a focus o
 ## Next steps
 
 - [What is Semantic Kernel?](/semantic-kernel/overview/)
-- [Quickstart - Summarize text using Azure AI chat app with .NET](/dotnet/ai/quickstarts/prompt-model)
+- [Quickstart - Summarize text using Azure AI chat app with .NET](quickstarts/prompt-model.md)
 
 [phi3]: https://azure.microsoft.com/products/phi-3
 [orca]: https://www.microsoft.com/research/project/orca/

docs/ai/get-started/dotnet-ai-overview.md

@@ -36,16 +36,16 @@ We recommend the following sequence of tutorials and articles for an introductio
 
 | Scenario | Tutorial |
 |----------|----------|
-| Create a chat application | [Build an Azure AI chat app with .NET](/dotnet/ai/quickstarts/build-chat-app)|
-| Summarize text | [Summarize text using Azure AI chat app with .NET](/dotnet/ai/quickstarts/prompt-model) |
-| Chat with your data     | [Get insight about your data from an .NET Azure AI chat app](/dotnet/ai/quickstarts/build-vector-search-app) |
-| Call .NET functions with AI | [Extend Azure AI using tools and execute a local function with .NET](/dotnet/ai/quickstarts/use-function-calling) |
-| Generate images | [Generate images using Azure AI with .NET](/dotnet/ai/quickstarts/generate-images) |
+| Create a chat application | [Build an Azure AI chat app with .NET](../quickstarts/build-chat-app.md)|
+| Summarize text | [Summarize text using Azure AI chat app with .NET](../quickstarts/prompt-model.md) |
+| Chat with your data     | [Get insight about your data from an .NET Azure AI chat app](../quickstarts/build-vector-search-app.md) |
+| Call .NET functions with AI | [Extend Azure AI using tools and execute a local function with .NET](../quickstarts/use-function-calling.md) |
+| Generate images | [Generate images using Azure AI with .NET](../quickstarts/generate-images.md) |
 | Train your own model |[ML.NET tutorial](https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro) |
 
 Browse the table of contents to learn more about the core concepts, starting with [How generative AI and LLMs work](../conceptual/how-genai-and-llms-work.md).
 
 ## Next steps
 
-- [Quickstart: Build an Azure AI chat app with .NET](/dotnet/ai/quickstarts/build-chat-app)
+- [Quickstart: Build an Azure AI chat app with .NET](../quickstarts/build-chat-app.md)
 - [Video series: Machine Learning and AI with .NET](/shows/machine-learning-and-ai-with-dotnet-for-beginners)

docs/ai/quickstarts/includes/ai-templates-azure-openai.md

@@ -88,9 +88,9 @@ The AI template uses Microsoft Entra ID for seamless, keyless authentication. It
 
     - In the Azure Portal, navigate to the overview page of your Azure OpenAI resource.
     - Select **Access control (IAM)** from the left navigation.
-    - [Add a role assignment](/dotnet/azure/sdk/authentication/local-development-dev-accounts#assign-roles-to-the-group) for the `Azure AI Developer` role to your Azure account.
+    - [Add a role assignment](../../../azure/sdk/authentication/local-development-dev-accounts.md#assign-roles-to-the-group) for the `Azure AI Developer` role to your Azure account.
 
-1. [Sign-in to a local development tool](/dotnet/azure/sdk/authentication/local-development-dev-accounts#sign-in-to-azure-using-developer-tooling) such as Visual Studio or the Azure CLI using the Azure account you assigned the `Azure AI Developer` role to.
+1. [Sign-in to a local development tool](../../../azure/sdk/authentication/local-development-dev-accounts.md#sign-in-to-azure-using-developer-tooling) such as Visual Studio or the Azure CLI using the Azure account you assigned the `Azure AI Developer` role to.
 
 ## Configure the app
 

docs/azure/sdk/includes/auth-visual-studio.md

@@ -6,7 +6,7 @@ ms.date: 03/19/2025
 Developers using Visual Studio 2017 or later can authenticate using their developer account through the IDE. Apps using <xref:Azure.Identity.DefaultAzureCredential> or <xref:Azure.Identity.VisualStudioCredential> can discover and use this account to authenticate app requests when running locally. This account is also used when you publish apps directly from Visual Studio to Azure.
 
 > [!IMPORTANT]
-> You'll need to [install the **Azure development** workload](/dotnet/azure/configure-visual-studio#install-azure-workloads) to enable Visual Studio tooling for Azure authentication, development, and deployment.
+> You'll need to [install the **Azure development** workload](../../configure-visual-studio.md#install-azure-workloads) to enable Visual Studio tooling for Azure authentication, development, and deployment.
 
 1. Inside Visual Studio, navigate to **Tools** > **Options** to open the options dialog.
 1. In the **Search Options** box at the top, type *Azure* to filter the available options.

docs/core/compatibility/windows-forms/10.0/menuitem-contextmenu.md

@@ -48,7 +48,7 @@ Use aliases to resolve conflicting namespaces. For example:
 using ContextMenu = System.Windows.Controls.ContextMenu;
 ```
 
-Refer to the [alias name conflicts documentation](/dotnet/csharp/language-reference/compiler-messages/using-directive-errors#alias-name-conflicts) for more details.
+Refer to the [alias name conflicts documentation](../../../../csharp/language-reference/compiler-messages/using-directive-errors.md#alias-name-conflicts) for more details.
 
 ## Affected APIs
 

docs/core/deploying/deploy-with-cli.md

@@ -166,7 +166,7 @@ You must use the following switches with the `dotnet publish` command to publish
 
 > [!TIP]
 >
-> - In .NET 6 and later versions, you can reduce the total size of compatible self-contained apps by [publishing trimmed](trimming/trim-self-contained.md). This enables the trimmer to remove parts of the framework and referenced assemblies that are not on any code path or potentially referenced in [runtime reflection](/dotnet/csharp/advanced-topics/reflection-and-attributes/). See [trimming incompatibilities](./trimming/incompatibilities.md) to determine if trimming makes sense for your application.
+> - In .NET 6 and later versions, you can reduce the total size of compatible self-contained apps by [publishing trimmed](trimming/trim-self-contained.md). This enables the trimmer to remove parts of the framework and referenced assemblies that are not on any code path or potentially referenced in [runtime reflection](../../csharp/advanced-topics/reflection-and-attributes/index.md). See [trimming incompatibilities](./trimming/incompatibilities.md) to determine if trimming makes sense for your application.
 > - You can reduce the total size of your deployment by enabling **globalization invariant mode**. This mode is useful for applications that are not globally aware and that can use the formatting conventions, casing conventions, and string comparison and sort order of the [invariant culture](xref:System.Globalization.CultureInfo.InvariantCulture). For more information about **globalization invariant mode** and how to enable it, see [.NET Core Globalization Invariant Mode](https://github.com/dotnet/runtime/blob/main/docs/design/features/globalization-invariant-mode.md).
 
 ## See also

docs/core/whats-new/dotnet-10/overview.md

@@ -183,7 +183,7 @@ The Visual Basic updates in .NET 10 include the following features and enhanceme
 
 These updates ensure that Visual Basic can consume updated features in C# and the runtime, improving compatibility and performance.
 
-For more information, see [What's new in Visual Basic](/dotnet/visual-basic/whats-new/).
+For more information, see [What's new in Visual Basic](../../../visual-basic/whats-new/index.md).
 
 ## Windows Forms
 

docs/csharp/advanced-topics/expression-trees/index.md

@@ -8,7 +8,7 @@ ms.custom: updateeachrelease
 
 *Expression trees* represent code in a tree-like data structure, where each node is an expression, for example, a method call or a binary operation such as `x < y`.
 
-If you used LINQ, you have experience with a rich library where the `Func` types are part of the API set. (If you aren't familiar with LINQ, you probably want to read [the LINQ tutorial](/dotnet/csharp/linq/) and the article about [lambda expressions](../../language-reference/operators/lambda-expressions.md) before this one.) Expression Trees provide richer interaction with the arguments that are functions.
+If you used LINQ, you have experience with a rich library where the `Func` types are part of the API set. (If you aren't familiar with LINQ, you probably want to read [the LINQ tutorial](../../linq/index.md) and the article about [lambda expressions](../../language-reference/operators/lambda-expressions.md) before this one.) Expression Trees provide richer interaction with the arguments that are functions.
 
 You write function arguments, typically using Lambda Expressions, when you create LINQ queries. In a typical LINQ query, those function arguments are transformed into a delegate the compiler creates.