test

dotnet/samples/GettingStarted/Agents/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>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use a ChatClientAgent with function tools that require a human in the loop for approvals.
+// It shows both non-streaming and streaming agent interactions using menu-related tools.
+// If the agent is hosted in a service, with a remote user, combine this sample with the Persisted Conversations sample to persist the chat history
+// while the agent is waiting for user input.
+
+using System.ComponentModel;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using OpenAI.Chat;
+using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+// Create a sample function tool that the agent can use.
+[Description("Get the weather for a given location.")]
+static string GetWeather([Description("The location to get the weather for.")] string location)
+    => $"The weather in {location} is cloudy with a high of 15°C.";
+
+// Create the chat client and agent.
+// Note that we are wrapping the function tool with ApprovalRequiredAIFunction to require user approval before invoking it.
+AIAgent agent = new AzureOpenAIClient(
+    new Uri(endpoint),
+    new AzureCliCredential())
+    .GetChatClient(deploymentName)
+    .AsAIAgent(instructions: "You are a helpful assistant", tools: [new ApprovalRequiredAIFunction(AIFunctionFactory.Create(GetWeather))]);
+
+// Call the agent and check if there are any user input requests to handle.
+AgentThread thread = await agent.GetNewThreadAsync();
+var response = await agent.RunAsync("What is the weather like in Amsterdam?", thread);
+var userInputRequests = response.UserInputRequests.ToList();
+
+// For streaming use:
+// var updates = await agent.RunStreamingAsync("What is the weather like in Amsterdam?", thread).ToListAsync();
+// userInputRequests = updates.SelectMany(x => x.UserInputRequests).ToList();
+
+while (userInputRequests.Count > 0)
+{
+    // Ask the user to approve each function call request.
+    // For simplicity, we are assuming here that only function approval requests are being made.
+    var userInputResponses = userInputRequests
+        .OfType<FunctionApprovalRequestContent>()
+        .Select(functionApprovalRequest =>
+        {
+            Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
+            return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
+        })
+        .ToList();
+
+    // Pass the user input responses back to the agent for further processing.
+    response = await agent.RunAsync(userInputResponses, thread);
+
+    userInputRequests = response.UserInputRequests.ToList();
+
+    // For streaming use:
+    // updates = await agent.RunStreamingAsync(userInputResponses, thread).ToListAsync();
+    // userInputRequests = updates.SelectMany(x => x.UserInputRequests).ToList();
+}
+
+Console.WriteLine($"\nAgent: {response}");
+
+// For streaming use:
+// Console.WriteLine($"\nAgent: {updates.ToAgentResponse()}");