Merge branch 'main' into feature-featurecollections-messagestore

2026-06-16 21:04:09 +08:00 · 2025-11-24 14:09:06 +00:00
parent 9d86adfcb2 b66efcc09d
commit 93825265cf
362 changed files with 1767 additions and 1164 deletions
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,8 +13,11 @@
    <PackageReference Include="Azure.AI.OpenAI" />
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="Microsoft.Extensions.Hosting" />
-    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
-    <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
+  </ItemGroup>
+
+  <ItemGroup Condition="!$([MSBuild]::IsTargetFrameworkCompatible($(TargetFramework), 'net10.0'))">
+    <PackageReference Include="System.Net.ServerSentEvents" />
+    <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" />
  </ItemGroup>

  <ItemGroup>
@@ -7,7 +7,7 @@ and register these function tools with another AI agent so it can leverage the A

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Access to the A2A agent host service

 **Note**: These samples need to be run against a valid A2A server. If no A2A server is available, they can be run against the echo-agent that can be 
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -22,7 +22,6 @@
    <PackageReference Include="OpenTelemetry.Instrumentation.Http" />
    <PackageReference Include="OpenTelemetry.Instrumentation.Runtime" />
    <PackageReference Include="OpenTelemetry.Extensions.Hosting" />
-    <PackageReference Include="System.Diagnostics.DiagnosticSource" />
  </ItemGroup>

  <ItemGroup>
@@ -22,7 +22,7 @@ graph TD

 ## Prerequisites

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)
 - Docker installed (for running Aspire Dashboard)
@@ -71,7 +71,7 @@ If you prefer to run the components manually:
 #### Step 1: Start the Aspire Dashboard via Docker

 ```powershell
-docker run -d --name aspire-dashboard -p 4318:18888 -p 4317:18889 -e DOTNET_DASHBOARD_UNSECURED_ALLOW_ANONYMOUS=true mcr.microsoft.com/dotnet/aspire-dashboard:9.0
+docker run -d --name aspire-dashboard -p 4318:18888 -p 4317:18889 -e DOTNET_DASHBOARD_UNSECURED_ALLOW_ANONYMOUS=true mcr.microsoft.com/dotnet/aspire-dashboard:latest
 ```

 #### Step 2: Access the Dashboard
@@ -207,7 +207,7 @@ If you encounter port binding errors, try:
 - Ensure the Azure OpenAI deployment name matches your actual deployment

 ### Build Issues
- Ensure you're using .NET 9.0 SDK
+- Ensure you're using .NET 10.0 SDK
 - Run `dotnet restore` if you encounter package restore issues
 - Check that all project references are correctly resolved

@@ -65,7 +65,7 @@ $dockerResult = docker run -d `
    -p 4317:18889 `
    -e DOTNET_DASHBOARD_UNSECURED_ALLOW_ANONYMOUS=true `
    --restart unless-stopped `
-    mcr.microsoft.com/dotnet/aspire-dashboard:9.0
+    mcr.microsoft.com/dotnet/aspire-dashboard:latest

 if ($LASTEXITCODE -ne 0) {
    Write-Host "Failed to start Aspire Dashboard container" -ForegroundColor Red
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -10,8 +10,6 @@

  <ItemGroup>
    <PackageReference Include="A2A" />
-    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
-    <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
  </ItemGroup>

  <ItemGroup>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Access to the A2A agent host service

 **Note**: These samples need to be run against a valid A2A server. If no A2A server is available, they can be run against the echo-agent that can be spun up locally by following the guidelines at: https://github.com/a2aproject/a2a-dotnet/blob/main/samples/AgentServer/README.md
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -10,7 +10,7 @@ You could use models from Microsoft, OpenAI, DeepSeek, Hugging Face, Meta, xAI o

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure AI Foundry resource
 - A model deployment in your Azure AI Foundry resource. This example defaults to using the `Phi-4-mini-instruct` model,
 so if you want to use a different model, ensure that you set your `AZURE_FOUNDRY_MODEL_DEPLOYMENT` environment
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -4,7 +4,7 @@ WARNING: ONNX doesn't support function calling, so any function tools passed to

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - An ONNX model downloaded to your machine

 You can download an ONNX model from hugging face, using git clone:
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Docker installed and running on your machine
 - An Ollama model downloaded into Ollama

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -5,7 +5,7 @@ For more information see the OpenAI documentation: https://platform.openai.com/d

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - OpenAI API key

 Set the following environment variables:
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - OpenAI api key

 Set the following environment variables:
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - OpenAI api key

 Set the following environment variables:
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,7 +13,6 @@
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" />
-    <PackageReference Include="System.Linq.Async" />
  </ItemGroup>

  <ItemGroup>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -31,7 +31,7 @@ AIAgent agent = new AzureOpenAIClient(
    .CreateAIAgent(new ChatClientAgentOptions()
    {
        Instructions = "You are a friendly travel assistant. Use known memories about the user when responding, and do not invent details.",
-        AIContextProviderFactory = ctx => ctx.SerializedState.ValueKind is not JsonValueKind.Null or JsonValueKind.Undefined
+        AIContextProviderFactory = ctx => ctx.SerializedState.ValueKind is not JsonValueKind.Null and not JsonValueKind.Undefined
            // If each thread should have its own Mem0 scope, you can create a new id per thread here:
            // ? new Mem0Provider(mem0HttpClient, new Mem0ProviderScope() { ThreadId = Guid.NewGuid().ToString() })
            // In this case we are storing memories scoped by application and user instead so that memories are retained across threads.
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -98,8 +98,8 @@ public sealed partial class TextSearchStore : IDisposable
        // Create a definition so that we can use the dimensions provided at runtime.
        VectorStoreCollectionDefinition ragDocumentDefinition = new()
        {
-            Properties = new List<VectorStoreProperty>()
-            {
+            Properties =
+            [
                new VectorStoreKeyProperty("Key", this._options.KeyType ?? typeof(string)),
                new VectorStoreDataProperty("Namespaces", typeof(List<string>)) { IsIndexed = true },
                new VectorStoreDataProperty("SourceId", typeof(string)) { IsIndexed = true },
@@ -107,7 +107,7 @@ public sealed partial class TextSearchStore : IDisposable
                new VectorStoreDataProperty("SourceName", typeof(string)),
                new VectorStoreDataProperty("SourceLink", typeof(string)),
                new VectorStoreVectorProperty("TextEmbedding", typeof(string), vectorDimensions),
-            }
+            ]
        };

        this._vectorStoreRecordCollection = this._vectorStore.GetDynamicCollection(collectionName, ragDocumentDefinition);
@@ -267,7 +267,7 @@ public sealed partial class TextSearchStore : IDisposable
                cancellationToken: cancellationToken);

        // Retrieve the documents from the search results.
-        List<Dictionary<string, object?>> searchResponseDocs = new();
+        List<Dictionary<string, object?>> searchResponseDocs = [];
        await foreach (var searchResponseDoc in searchResult.WithCancellation(cancellationToken).ConfigureAwait(false))
        {
            searchResponseDocs.Add(searchResponseDoc.Record);
@@ -291,12 +291,8 @@ public sealed partial class TextSearchStore : IDisposable
        }

        // Retrieve the source text for the documents that need it.
-        var retrievalResponses = await this._options.SourceRetrievalCallback(sourceIdsToRetrieve).ConfigureAwait(false);
-
-        if (retrievalResponses is null)
-        {
+        var retrievalResponses = await this._options.SourceRetrievalCallback(sourceIdsToRetrieve).ConfigureAwait(false) ??
            throw new InvalidOperationException($"The {nameof(TextSearchStoreOptions.SourceRetrievalCallback)} must return a non-null value.");
-        }

        // Update the retrieved documents with the retrieved text.
        return searchResponseDocs.GroupJoin(
@@ -107,15 +107,8 @@ public sealed class TextSearchStoreOptions
        /// <param name="text">The source text that was retrieved.</param>
        public SourceRetrievalResponse(SourceRetrievalRequest request, string text)
        {
-            if (request == null)
-            {
-                throw new ArgumentNullException(nameof(request));
-            }
-
-            if (text == null)
-            {
-                throw new ArgumentNullException(nameof(text));
-            }
+            ArgumentNullException.ThrowIfNull(request);
+            ArgumentNullException.ThrowIfNull(text);

            this.SourceId = request.SourceId;
            this.SourceLink = request.SourceLink;
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -6,7 +6,7 @@ This sample uses Qdrant for the vector store, but this can easily be swapped out

 ## Prerequisites

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint
 - Both a chat completion and embedding deployment configured in the Azure OpenAI resource
 - Azure CLI installed and authenticated (for Azure credential authentication)
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -48,7 +48,7 @@ static Task<IEnumerable<TextSearchProvider.TextSearchResult>> MockSearchAsync(st
 {
    // The mock search inspects the user's question and returns pre-defined snippets
    // that resemble documents stored in an external knowledge source.
-    List<TextSearchProvider.TextSearchResult> results = new();
+    List<TextSearchProvider.TextSearchResult> results = [];

    if (query.Contains("return", StringComparison.OrdinalIgnoreCase) || query.Contains("refund", StringComparison.OrdinalIgnoreCase))
    {
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -32,7 +32,7 @@ string tempFilePath = Path.GetTempFileName();
 await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedThread));

 // Load the serialized thread from the temporary file (for demonstration purposes).
-JsonElement reloadedSerializedThread = JsonSerializer.Deserialize<JsonElement>(await File.ReadAllTextAsync(tempFilePath));
+JsonElement reloadedSerializedThread = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath));

 // Deserialize the thread state after loading from storage.
 AgentThread resumedThread = agent.DeserializeThread(reloadedSerializedThread);
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,7 +13,6 @@
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" />
-    <PackageReference Include="System.Linq.Async" />
  </ItemGroup>

  <ItemGroup>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,10 @@
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="Microsoft.Extensions.Hosting" />
    <PackageReference Include="ModelContextProtocol" />
-    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
+  </ItemGroup>
+
+  <ItemGroup Condition="!$([MSBuild]::IsTargetFrameworkCompatible($(TargetFramework), 'net10.0'))">
+    <PackageReference Include="System.Net.ServerSentEvents" />
  </ItemGroup>

  <ItemGroup>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
 <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ For more information, see the [official documentation](https://learn.microsoft.c

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>
    
    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -154,10 +154,11 @@ async Task<AgentRunResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, Ag
    static string FilterPii(string content)
    {
        // Regex patterns for PII detection (simplified for demonstration)
-        Regex[] piiPatterns = [
+        Regex[] piiPatterns =
+        [
            new(@"\b\d{3}-\d{3}-\d{4}\b", RegexOptions.Compiled), // Phone number (e.g., 123-456-7890)
-                    new(@"\b[\w\.-]+@[\w\.-]+\.\w+\b", RegexOptions.Compiled), // Email address
-                    new(@"\b[A-Z][a-z]+\s[A-Z][a-z]+\b", RegexOptions.Compiled) // Full name (e.g., John Doe)
+            new(@"\b[\w\.-]+@[\w\.-]+\.\w+\b", RegexOptions.Compiled), // Email address
+            new(@"\b[A-Z][a-z]+\s[A-Z][a-z]+\b", RegexOptions.Compiled) // Full name (e.g., John Doe)
        ];

        foreach (var pattern in piiPatterns)
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,7 +13,7 @@ For more information, see the [official documentation](https://learn.microsoft.c

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,7 +13,7 @@ see the [How to create an agent for each provider](../AgentProviders/README.md)

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure OpenAI service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)
 - User has the `Cognitive Services OpenAI Contributor` role for the Azure OpenAI resource.
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
    <RootNamespace>DevUI_Step01_BasicUsage</RootNamespace>
@@ -19,7 +19,6 @@
    <PackageReference Include="Azure.AI.OpenAI" />
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
  </ItemGroup>

 </Project>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -10,7 +10,7 @@ This sample demonstrates how to create and manage AI agents with Azure Foundry A

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,7 +13,7 @@ This sample demonstrates how to create and run a simple AI agent with Azure Foun

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to implement multi-turn conversations with AI agent

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to use function tools with AI agents, allowing agen

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to use function tools that require human approval b

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to configure AI agents to produce structured output

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -32,7 +32,7 @@ string tempFilePath = Path.GetTempFileName();
 await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedThread));

 // Load the serialized thread from the temporary file (for demonstration purposes).
-JsonElement reloadedSerializedThread = JsonSerializer.Deserialize<JsonElement>(await File.ReadAllTextAsync(tempFilePath))!;
+JsonElement reloadedSerializedThread = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath))!;

 // Deserialize the thread state after loading from storage.
 AgentThread resumedThread = agent.DeserializeThread(reloadedSerializedThread);
@@ -14,7 +14,7 @@ This sample demonstrates how to serialize and persist agent conversation threads

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -15,7 +15,7 @@ This sample demonstrates how to add observability to AI agents using OpenTelemet

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)
 - (Optional) Application Insights connection string for Azure Monitor integration
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -15,7 +15,7 @@ This sample demonstrates how to use dependency injection to register and manage

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to use Model Context Protocol (MCP) client tools wi

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)
 - Node.js and npm installed (for running the GitHub MCP server)
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to expose an AI agent as a function tool, enabling

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>
    
    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -21,7 +21,7 @@ Attempting to use function middleware on agents that do not wrap a ChatClientAge

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -14,7 +14,7 @@ This sample demonstrates how to use plugins with AI agents, where plugins are se

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -15,7 +15,7 @@ This sample demonstrates how to use the code interpreter tool with AI agents. Th

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -15,7 +15,7 @@ This sample demonstrates how to use the computer use tool with AI agents. The co

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and deployment configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -10,7 +10,7 @@ versioning, multi-turn conversations, and advanced features like code interpreta

 Before you begin, ensure you have the following prerequisites:

- .NET 8.0 SDK or later
+- .NET 10 SDK or later
 - Azure Foundry service endpoint and project configured
 - Azure CLI installed and authenticated (for Azure credential authentication)

@@ -2,7 +2,7 @@

  <PropertyGroup>
    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
+    <TargetFrameworks>net10.0</TargetFrameworks>

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
@@ -13,7 +13,6 @@
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
    <PackageReference Include="ModelContextProtocol" />
-    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
  </ItemGroup>

  <ItemGroup>
--- a/Show More
+++ b/Show More