remove references to preview/prerelease (#46236)

gewarren · web-flow · commit 9b61aa6d71cd · 2025-05-16T16:20:21.000-07:00
diff --git a/docs/ai/conceptual/evaluation-libraries.md b/docs/ai/conceptual/evaluation-libraries.md
@@ -4,9 +4,9 @@ description: Learn about the Microsoft.Extensions.AI.Evaluation libraries, which
 ms.topic: concept-article
 ms.date: 05/13/2025
 ---
-# The Microsoft.Extensions.AI.Evaluation libraries (Preview)
+# The Microsoft.Extensions.AI.Evaluation libraries
 
-The Microsoft.Extensions.AI.Evaluation libraries (currently in preview) simplify the process of evaluating the quality and accuracy of responses generated by AI models in .NET intelligent apps. Various metrics measure aspects like relevance, truthfulness, coherence, and completeness of the responses. Evaluations are crucial in testing, because they help ensure that the AI model performs as expected and provides reliable and accurate results.
+The Microsoft.Extensions.AI.Evaluation libraries simplify the process of evaluating the quality and accuracy of responses generated by AI models in .NET intelligent apps. Various metrics measure aspects like relevance, truthfulness, coherence, and completeness of the responses. Evaluations are crucial in testing, because they help ensure that the AI model performs as expected and provides reliable and accurate results.
 
 The evaluation libraries, which are built on top of the [Microsoft.Extensions.AI abstractions](../microsoft-extensions-ai.md), are composed of the following NuGet packages:
 
diff --git a/docs/ai/quickstarts/build-chat-app.md b/docs/ai/quickstarts/build-chat-app.md
@@ -14,9 +14,6 @@ zone_pivot_groups: openai-library
 
 In this quickstart, you learn how to create a conversational .NET console chat app using an OpenAI or Azure OpenAI model. The app uses the <xref:Microsoft.Extensions.AI> library so you can write code using AI abstractions rather than a specific SDK. AI abstractions enable you to change the underlying AI model with minimal code changes.
 
-> [!NOTE]
-> The [`Microsoft.Extensions.AI`](https://www.nuget.org/packages/Microsoft.Extensions.AI/) library is currently in Preview.
-
 :::zone target="docs" pivot="openai"
 
 [!INCLUDE [openai-prereqs](includes/prerequisites-openai.md)]
diff --git a/docs/ai/quickstarts/evaluate-ai-response.md b/docs/ai/quickstarts/evaluate-ai-response.md
@@ -11,9 +11,7 @@ ms.custom: devx-track-dotnet, devx-track-dotnet-ai
 In this quickstart, you create an MSTest app to evaluate the chat response of an OpenAI model. The test app uses the [Microsoft.Extensions.AI.Evaluation](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation) libraries.
 
 > [!NOTE]
->
-> - The `Microsoft.Extensions.AI.Evaluation` library is currently in Preview.
-> - This quickstart demonstrates the simplest usage of the evaluation API. Notably, it doesn't demonstrate use of the [response caching](../conceptual/evaluation-libraries.md#cached-responses) and [reporting](../conceptual/evaluation-libraries.md#reporting) functionality, which are important if you're authoring unit tests that run as part of an "offline" evaluation pipeline. The scenario shown in this quickstart is suitable in use cases such as "online" evaluation of AI responses within production code and logging scores to telemetry, where caching and reporting aren't relevant. For a tutorial that demonstrates the caching and reporting functionality, see [Tutorial: Evaluate a model's response with response caching and reporting](../tutorials/evaluate-with-reporting.md)
+> This quickstart demonstrates the simplest usage of the evaluation API. Notably, it doesn't demonstrate use of the [response caching](../conceptual/evaluation-libraries.md#cached-responses) and [reporting](../conceptual/evaluation-libraries.md#reporting) functionality, which are important if you're authoring unit tests that run as part of an "offline" evaluation pipeline. The scenario shown in this quickstart is suitable in use cases such as "online" evaluation of AI responses within production code and logging scores to telemetry, where caching and reporting aren't relevant. For a tutorial that demonstrates the caching and reporting functionality, see [Tutorial: Evaluate a model's response with response caching and reporting](../tutorials/evaluate-with-reporting.md)
 
 ## Prerequisites
 
@@ -39,9 +37,9 @@ Complete the following steps to create an MSTest project that connects to the `g
     ```dotnetcli
     dotnet add package Azure.AI.OpenAI
     dotnet add package Azure.Identity
-    dotnet add package Microsoft.Extensions.AI.Abstractions --prerelease
-    dotnet add package Microsoft.Extensions.AI.Evaluation --prerelease
-    dotnet add package Microsoft.Extensions.AI.Evaluation.Quality --prerelease
+    dotnet add package Microsoft.Extensions.AI.Abstractions
+    dotnet add package Microsoft.Extensions.AI.Evaluation
+    dotnet add package Microsoft.Extensions.AI.Evaluation.Quality
     dotnet add package Microsoft.Extensions.AI.OpenAI --prerelease
     dotnet add package Microsoft.Extensions.Configuration
     dotnet add package Microsoft.Extensions.Configuration.UserSecrets
diff --git a/docs/ai/quickstarts/prompt-model.md b/docs/ai/quickstarts/prompt-model.md
@@ -14,9 +14,6 @@ zone_pivot_groups: openai-library
 
 In this quickstart, you learn how to create a .NET console chat app to connect to and prompt an OpenAI or Azure OpenAI model. The app uses the <xref:Microsoft.Extensions.AI> library so you can write code using AI abstractions rather than a specific SDK. AI abstractions enable you to change the underlying AI model with minimal code changes.
 
-> [!NOTE]
-> The <xref:Microsoft.Extensions.AI> library is currently in Preview.
-
 :::zone target="docs" pivot="openai"
 
 [!INCLUDE [openai-prereqs](includes/prerequisites-openai.md)]
diff --git a/docs/ai/quickstarts/structured-output.md b/docs/ai/quickstarts/structured-output.md
@@ -10,9 +10,6 @@ ms.custom: devx-track-dotnet, devx-track-dotnet-ai
 
 In this quickstart, you create a chat app that requests a response with *structured output*. A structured output response is a chat response that's of a type you specify instead of just plain text. The chat app you create in this quickstart analyzes sentiment of various product reviews, categorizing each review according to the values of a custom enumeration.
 
-> [!NOTE]
-> The <xref:Microsoft.Extensions.AI> library, which is used in this quickstart, is currently in Preview.
-
 ## Prerequisites
 
 - [.NET 8 or a later version](https://dotnet.microsoft.com/download)
@@ -37,7 +34,7 @@ Complete the following steps to create a console app that connects to the `gpt-4
     ```dotnetcli
     dotnet add package Azure.AI.OpenAI
     dotnet add package Azure.Identity
-    dotnet add package Microsoft.Extensions.AI --prerelease
+    dotnet add package Microsoft.Extensions.AI
     dotnet add package Microsoft.Extensions.AI.OpenAI --prerelease
     dotnet add package Microsoft.Extensions.Configuration
     dotnet add package Microsoft.Extensions.Configuration.UserSecrets
diff --git a/docs/ai/quickstarts/use-function-calling.md b/docs/ai/quickstarts/use-function-calling.md
@@ -14,9 +14,6 @@ zone_pivot_groups: openai-library
 
 In this quickstart, you create a .NET console AI chat app to connect to an AI model with local function calling enabled. The app uses the <xref:Microsoft.Extensions.AI> library so you can write code using AI abstractions rather than a specific SDK. AI abstractions enable you to change the underlying AI model with minimal code changes.
 
-> [!NOTE]
-> The [`Microsoft.Extensions.AI`](https://www.nuget.org/packages/Microsoft.Extensions.AI/) library is currently in Preview.
-
 :::zone target="docs" pivot="openai"
 
 [!INCLUDE [openai-prereqs](includes/prerequisites-openai.md)]
@@ -54,7 +51,7 @@ Complete the following steps to create a .NET console app to connect to an AI mo
     ```bash
     dotnet add package Azure.Identity
     dotnet add package Azure.AI.OpenAI
-    dotnet add package Microsoft.Extensions.AI --prerelease
+    dotnet add package Microsoft.Extensions.AI
     dotnet add package Microsoft.Extensions.AI.OpenAI --prerelease
     dotnet add package Microsoft.Extensions.Configuration
     dotnet add package Microsoft.Extensions.Configuration.UserSecrets
@@ -65,7 +62,7 @@ Complete the following steps to create a .NET console app to connect to an AI mo
     :::zone target="docs" pivot="openai"
 
     ```bash
-    dotnet add package Microsoft.Extensions.AI --prerelease
+    dotnet add package Microsoft.Extensions.AI
     dotnet add package Microsoft.Extensions.AI.OpenAI --prerelease
     dotnet add package Microsoft.Extensions.Configuration
     dotnet add package Microsoft.Extensions.Configuration.UserSecrets
diff --git a/docs/ai/tutorials/evaluate-with-reporting.md b/docs/ai/tutorials/evaluate-with-reporting.md
@@ -34,10 +34,10 @@ Complete the following steps to create an MSTest project that connects to the `g
    ```dotnetcli
    dotnet add package Azure.AI.OpenAI
    dotnet add package Azure.Identity
-   dotnet add package Microsoft.Extensions.AI.Abstractions --prerelease
-   dotnet add package Microsoft.Extensions.AI.Evaluation --prerelease
-   dotnet add package Microsoft.Extensions.AI.Evaluation.Quality --prerelease
-   dotnet add package Microsoft.Extensions.AI.Evaluation.Reporting --prerelease
+   dotnet add package Microsoft.Extensions.AI.Abstractions
+   dotnet add package Microsoft.Extensions.AI.Evaluation
+   dotnet add package Microsoft.Extensions.AI.Evaluation.Quality
+   dotnet add package Microsoft.Extensions.AI.Evaluation.Reporting
    dotnet add package Microsoft.Extensions.AI.OpenAI --prerelease
    dotnet add package Microsoft.Extensions.Configuration
    dotnet add package Microsoft.Extensions.Configuration.UserSecrets
@@ -153,7 +153,7 @@ Run the test using your preferred test workflow, for example, by using the CLI c
 1. Install the [Microsoft.Extensions.AI.Evaluation.Console](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Console) .NET tool by running the following command from a terminal window (update the version as necessary):
 
    ```dotnetcli
-   dotnet tool install --local Microsoft.Extensions.AI.Evaluation.Console --version 9.3.0-preview.1.25164.6
+   dotnet tool install --local Microsoft.Extensions.AI.Evaluation.Console
    ```
 
 1. Generate a report by running the following command:
