chore: import upstream snapshot with attribution

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj

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+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use an agent with function tools that require a human in the loop for approvals.
+
+using System.ComponentModel;
+using Azure.AI.Projects;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+
+[Description("Get the weather for a given location.")]
+static string GetWeather([Description("The location to get the weather for.")] string location)
+    => $"The weather in {location} is cloudy with a high of 15°C.";
+
+string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
+
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
+
+ApprovalRequiredAIFunction approvalTool = new(AIFunctionFactory.Create(GetWeather, name: nameof(GetWeather)));
+
+AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
+    instructions: "You are a helpful assistant that can get weather information.",
+    name: "WeatherAssistant",
+    tools: [approvalTool]);
+
+// Call the agent with approval-required function tools.
+AgentSession session = await agent.CreateSessionAsync();
+AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
+
+// Check if there are any approval requests.
+List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
+
+while (approvalRequests.Count > 0)
+{
+    // Ask the user to approve each function call request.
+    List<ChatMessage> userInputMessages = approvalRequests
+        .ConvertAll(functionApprovalRequest =>
+        {
+            Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {((FunctionCallContent)functionApprovalRequest.ToolCall).Name}");
+            bool approved = Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false;
+            return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(approved)]);
+        });
+
+    response = await agent.RunAsync(userInputMessages, session);
+    approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
+}
+
+Console.WriteLine($"\nAgent: {response}");

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md

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+# Using Function Tools with Approvals via the Responses API
+
+This sample demonstrates how to use function tools that require human-in-the-loop approval before execution.
+
+## What this sample demonstrates
+
+- Creating function tools that require approval using `ApprovalRequiredAIFunction`
+- Handling approval requests from the agent
+- Passing approval responses back to the agent
+- No server-side agent creation or cleanup required
+
+## Prerequisites
+
+- .NET 10 SDK or later
+- Microsoft Foundry service endpoint and deployment configured
+- An authenticated Azure identity (for example, sign in with `az login`)
+
+Set the following environment variables:
+
+```powershell
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
+```
+
+## Run the sample
+
+```powershell
+cd dotnet/samples/02-agents/AgentProviders/foundry
+dotnet run --project .\Agent_Step04_UsingFunctionToolsWithApprovals
+```
+