Update branding for Azure service used by Safety evaluators (#6362)

`Azure AI Content Safety service` -> `Azure AI Foundry Evaluation service`

Author: shyamnamboodiripad

src/Libraries/Microsoft.Extensions.AI.Evaluation.Console/Microsoft.Extensions.AI.Evaluation.Console.csproj

@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <Description>A dotnet tool for managing the evaluation data and generating reports.</Description>
+    <Description>A command line dotnet tool for generating reports and managing evaluation data.</Description>
     <OutputType>Exe</OutputType>
     <!-- Building only one TFM due to bug: https://github.com/dotnet/sdk/issues/47696 
          Once this is fixed, we can go back to building multiple. -->

src/Libraries/Microsoft.Extensions.AI.Evaluation.Console/README.md

@@ -4,7 +4,7 @@
 
 * [`Microsoft.Extensions.AI.Evaluation`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation) - Defines core abstractions and types for supporting evaluation.
 * [`Microsoft.Extensions.AI.Evaluation.Quality`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Quality) - Contains evaluators that can be used to evaluate the quality of AI responses in your projects including Relevance, Truth, Completeness, Fluency, Coherence, Retrieval, Equivalence and Groundedness.
-* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Content Safety service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
+* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Foundry Evaluation service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting) - Contains support for caching LLM responses, storing the results of evaluations and generating reports from that data.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting.Azure`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting.Azure) - Supports the `Microsoft.Extensions.AI.Evaluation.Reporting` library with an implementation for caching LLM responses and storing the evaluation results in an Azure Storage container.
 * [`Microsoft.Extensions.AI.Evaluation.Console`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Console) - A command line dotnet tool for generating reports and managing evaluation data.
@@ -16,6 +16,7 @@ From the command-line:
 ```console
 dotnet add package Microsoft.Extensions.AI.Evaluation
 dotnet add package Microsoft.Extensions.AI.Evaluation.Quality
+dotnet add package Microsoft.Extensions.AI.Evaluation.Safety
 dotnet add package Microsoft.Extensions.AI.Evaluation.Reporting
 ```
 
@@ -25,6 +26,7 @@ Or directly in the C# project file:
 <ItemGroup>
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="[CURRENTVERSION]" />
+  <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Reporting" Version="[CURRENTVERSION]" />
 </ItemGroup>
 ```

src/Libraries/Microsoft.Extensions.AI.Evaluation.Quality/Microsoft.Extensions.AI.Evaluation.Quality.csproj

@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <Description>A library containing a set of evaluators for evaluating the quality (coherence, relevance, truth, completeness, groundedness, fluency, equivalence etc.) of responses received from an LLM.</Description>
+    <Description>A library containing evaluators that can be used to evaluate the quality of AI responses in your projects including Relevance, Truth, Completeness, Fluency, Coherence, Retrieval, Equivalence and Groundedness.</Description>
     <TargetFrameworks>$(TargetFrameworks);netstandard2.0</TargetFrameworks>
     <RootNamespace>Microsoft.Extensions.AI.Evaluation.Quality</RootNamespace>
   </PropertyGroup>

src/Libraries/Microsoft.Extensions.AI.Evaluation.Quality/README.md

@@ -4,7 +4,7 @@
 
 * [`Microsoft.Extensions.AI.Evaluation`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation) - Defines core abstractions and types for supporting evaluation.
 * [`Microsoft.Extensions.AI.Evaluation.Quality`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Quality) - Contains evaluators that can be used to evaluate the quality of AI responses in your projects including Relevance, Truth, Completeness, Fluency, Coherence, Retrieval, Equivalence and Groundedness.
-* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Content Safety service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
+* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Foundry Evaluation service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting) - Contains support for caching LLM responses, storing the results of evaluations and generating reports from that data.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting.Azure`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting.Azure) - Supports the `Microsoft.Extensions.AI.Evaluation.Reporting` library with an implementation for caching LLM responses and storing the evaluation results in an Azure Storage container.
 * [`Microsoft.Extensions.AI.Evaluation.Console`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Console) - A command line dotnet tool for generating reports and managing evaluation data.
@@ -16,6 +16,7 @@ From the command-line:
 ```console
 dotnet add package Microsoft.Extensions.AI.Evaluation
 dotnet add package Microsoft.Extensions.AI.Evaluation.Quality
+dotnet add package Microsoft.Extensions.AI.Evaluation.Safety
 dotnet add package Microsoft.Extensions.AI.Evaluation.Reporting
 ```
 
@@ -25,6 +26,7 @@ Or directly in the C# project file:
 <ItemGroup>
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="[CURRENTVERSION]" />
+  <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Reporting" Version="[CURRENTVERSION]" />
 </ItemGroup>
 ```

src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting.Azure/Microsoft.Extensions.AI.Evaluation.Reporting.Azure.csproj

@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <Description>A library that provides additional an additional storage provider based on Azure Storage containers.</Description>
+    <Description>A library that supports the Microsoft.Extensions.AI.Evaluation.Reporting library with an implementation for caching LLM responses and storing the evaluation results in an Azure Storage container.</Description>
     <TargetFrameworks>$(TargetFrameworks);netstandard2.0</TargetFrameworks>
     <RootNamespace>Microsoft.Extensions.AI.Evaluation.Reporting</RootNamespace>
     <!-- EA0002: Use System.TimeProvider to make the code easier to test. -->

src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting.Azure/README.md

@@ -4,7 +4,7 @@
 
 * [`Microsoft.Extensions.AI.Evaluation`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation) - Defines core abstractions and types for supporting evaluation.
 * [`Microsoft.Extensions.AI.Evaluation.Quality`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Quality) - Contains evaluators that can be used to evaluate the quality of AI responses in your projects including Relevance, Truth, Completeness, Fluency, Coherence, Retrieval, Equivalence and Groundedness.
-* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Content Safety service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
+* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Foundry Evaluation service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting) - Contains support for caching LLM responses, storing the results of evaluations and generating reports from that data.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting.Azure`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting.Azure) - Supports the `Microsoft.Extensions.AI.Evaluation.Reporting` library with an implementation for caching LLM responses and storing the evaluation results in an Azure Storage container.
 * [`Microsoft.Extensions.AI.Evaluation.Console`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Console) - A command line dotnet tool for generating reports and managing evaluation data.
@@ -16,6 +16,7 @@ From the command-line:
 ```console
 dotnet add package Microsoft.Extensions.AI.Evaluation
 dotnet add package Microsoft.Extensions.AI.Evaluation.Quality
+dotnet add package Microsoft.Extensions.AI.Evaluation.Safety
 dotnet add package Microsoft.Extensions.AI.Evaluation.Reporting
 ```
 
@@ -25,6 +26,7 @@ Or directly in the C# project file:
 <ItemGroup>
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="[CURRENTVERSION]" />
+  <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Reporting" Version="[CURRENTVERSION]" />
 </ItemGroup>
 ```

src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/CSharp/Microsoft.Extensions.AI.Evaluation.Reporting.csproj

@@ -8,7 +8,7 @@
   -->
 
   <PropertyGroup>
-    <Description>A library for aggregating and reporting evaluation data. This library also includes support for caching LLM responses.</Description>
+    <Description>A library that contains support for caching LLM responses, storing the results of evaluations and generating reports from that data.</Description>
     <TargetFrameworks>$(TargetFrameworks);netstandard2.0</TargetFrameworks>
     <RootNamespace>Microsoft.Extensions.AI.Evaluation.Reporting</RootNamespace>
     <!-- EA0002: Use System.TimeProvider to make the code easier to test. -->

src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/CSharp/README.md

@@ -4,7 +4,7 @@
 
 * [`Microsoft.Extensions.AI.Evaluation`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation) - Defines core abstractions and types for supporting evaluation.
 * [`Microsoft.Extensions.AI.Evaluation.Quality`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Quality) - Contains evaluators that can be used to evaluate the quality of AI responses in your projects including Relevance, Truth, Completeness, Fluency, Coherence, Retrieval, Equivalence and Groundedness.
-* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Content Safety service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
+* [`Microsoft.Extensions.AI.Evaluation.Safety`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Safety) - Contains a set of evaluators that are built atop the Azure AI Foundry Evaluation service that can be used to evaluate the content safety of AI responses in your projects including Protected Material, Groundedness Pro, Ungrounded Attributes, Hate and Unfairness, Self Harm, Violence, Sexual, Code Vulnerability and Indirect Attack.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting) - Contains support for caching LLM responses, storing the results of evaluations and generating reports from that data.
 * [`Microsoft.Extensions.AI.Evaluation.Reporting.Azure`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Reporting.Azure) - Supports the `Microsoft.Extensions.AI.Evaluation.Reporting` library with an implementation for caching LLM responses and storing the evaluation results in an Azure Storage container.
 * [`Microsoft.Extensions.AI.Evaluation.Console`](https://www.nuget.org/packages/Microsoft.Extensions.AI.Evaluation.Console) - A command line dotnet tool for generating reports and managing evaluation data.
@@ -16,6 +16,7 @@ From the command-line:
 ```console
 dotnet add package Microsoft.Extensions.AI.Evaluation
 dotnet add package Microsoft.Extensions.AI.Evaluation.Quality
+dotnet add package Microsoft.Extensions.AI.Evaluation.Safety
 dotnet add package Microsoft.Extensions.AI.Evaluation.Reporting
 ```
 
@@ -25,6 +26,7 @@ Or directly in the C# project file:
 <ItemGroup>
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="[CURRENTVERSION]" />
+  <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="[CURRENTVERSION]" />
   <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Reporting" Version="[CURRENTVERSION]" />
 </ItemGroup>
 ```

src/Libraries/Microsoft.Extensions.AI.Evaluation.Safety/CodeVulnerabilityEvaluator.cs

@@ -9,8 +9,8 @@
 namespace Microsoft.Extensions.AI.Evaluation.Safety;
 
 /// <summary>
-/// An <see cref="IEvaluator"/> that utilizes the Azure AI Content Safety service to evaluate code completion responses
-/// produced by an AI model for the presence of vulnerable code.
+/// An <see cref="IEvaluator"/> that utilizes the Azure AI Foundry Evaluation service to evaluate code completion
+/// responses produced by an AI model for the presence of vulnerable code.
 /// </summary>
 /// <remarks>
 /// <para>

src/Libraries/Microsoft.Extensions.AI.Evaluation.Safety/ContentHarmEvaluator.cs

@@ -9,8 +9,8 @@
 namespace Microsoft.Extensions.AI.Evaluation.Safety;
 
 /// <summary>
-/// An <see cref="IEvaluator"/> that utilizes the Azure AI Content Safety service to evaluate responses produced by an
-/// AI model for the presence of a variety of harmful content such as violence, hate speech, etc.
+/// An <see cref="IEvaluator"/> that utilizes the Azure AI Foundry Evaluation service to evaluate responses produced by
+/// an AI model for the presence of a variety of harmful content such as violence, hate speech, etc.
 /// </summary>
 /// <remarks>
 /// <see cref="ContentHarmEvaluator"/> can be used to evaluate responses for all supported content harm metrics in one
@@ -22,10 +22,10 @@ namespace Microsoft.Extensions.AI.Evaluation.Safety;
 /// </remarks>
 /// <param name="metricNames">
 /// A optional dictionary containing the mapping from the names of the metrics that are used when communicating
-/// with the Azure AI Content Safety to the <see cref="EvaluationMetric.Name"/>s of the
+/// with the Azure AI Foundry Evaluation service, to the <see cref="EvaluationMetric.Name"/>s of the
 /// <see cref="EvaluationMetric"/>s returned by this <see cref="IEvaluator"/>.
 ///
-/// If omitted, includes mappings for all content harm metrics that are supported by the Azure AI Content Safety
+/// If omitted, includes mappings for all content harm metrics that are supported by the Azure AI Foundry Evaluation
 /// service. This includes <see cref="HateAndUnfairnessEvaluator.HateAndUnfairnessMetricName"/>,
 /// <see cref="ViolenceEvaluator.ViolenceMetricName"/>, <see cref="SelfHarmEvaluator.SelfHarmMetricName"/> and
 /// <see cref="SexualEvaluator.SexualMetricName"/>.