microsoft · westey-m · Feb 5, 2026 · Feb 4, 2026 · Feb 4, 2026 · Feb 4, 2026
diff --git a/dotnet/samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs b/dotnet/samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs
@@ -29,36 +29,34 @@ static string GetWeather([Description("The location to get the weather for.")] s
     .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.
+// Call the agent and check if there are any function approval requests to handle.
+// For simplicity, we are assuming here that only function approvals are pending.
 AgentSession session = await agent.CreateSessionAsync();
-var response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
-var userInputRequests = response.UserInputRequests.ToList();
+AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
+List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 
 // For streaming use:
 // var updates = await agent.RunStreamingAsync("What is the weather like in Amsterdam?", session).ToListAsync();
-// userInputRequests = updates.SelectMany(x => x.UserInputRequests).ToList();
+// approvalRequests = updates.SelectMany(x => x.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 
-while (userInputRequests.Count > 0)
+while (approvalRequests.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 =>
+    List<ChatMessage> userInputResponses = approvalRequests
+        .ConvertAll(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, session);
 
-    userInputRequests = response.UserInputRequests.ToList();
+    approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 
     // For streaming use:
     // updates = await agent.RunStreamingAsync(userInputResponses, session).ToListAsync();
-    // userInputRequests = updates.SelectMany(x => x.UserInputRequests).ToList();
+    // approvalRequests = updates.SelectMany(x => x.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 }
 
 Console.WriteLine($"\nAgent: {response}");

diff --git a/dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/Program.cs b/dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/Program.cs
@@ -210,28 +210,25 @@ static string FilterContent(string content)
 // This middleware handles Human in the loop console interaction for any user approval required during function calling.
 async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
 {
-    var response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
+    AgentResponse response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
 
-    var userInputRequests = response.UserInputRequests.ToList();
+    // For simplicity, we are assuming here that only function approvals are pending.
+    List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 
-    while (userInputRequests.Count > 0)
+    while (approvalRequests.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.
-
         // Pass the user input responses back to the agent for further processing.
-        response.Messages = userInputRequests
-            .OfType<FunctionApprovalRequestContent>()
-            .Select(functionApprovalRequest =>
+        response.Messages = approvalRequests
+            .ConvertAll(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();
+            });
 
         response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
 
-        userInputRequests = response.UserInputRequests.ToList();
+        approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
     }
 
     return response;

diff --git a/...tingStarted/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/Program.cs b/...tingStarted/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/Program.cs
@@ -35,27 +35,25 @@ static string GetWeather([Description("The location to get the weather for.")] s
 AgentSession session = await agent.CreateSessionAsync();
 AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
 
-// Check if there are any user input requests (approvals needed).
-List<UserInputRequestContent> userInputRequests = response.UserInputRequests.ToList();
+// Check if there are any approval requests.
+// For simplicity, we are assuming here that only function approvals are pending.
+List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 
-while (userInputRequests.Count > 0)
+while (approvalRequests.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.
-    List<ChatMessage> userInputMessages = userInputRequests
-        .OfType<FunctionApprovalRequestContent>()
-        .Select(functionApprovalRequest =>
+    List<ChatMessage> userInputMessages = approvalRequests
+        .ConvertAll(functionApprovalRequest =>
         {
             Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
             bool approved = Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false;
             return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(approved)]);
-        })
-        .ToList();
+        });
 
     // Pass the user input responses back to the agent for further processing.
     response = await agent.RunAsync(userInputMessages, session);
 
-    userInputRequests = response.UserInputRequests.ToList();
+    approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 }
 
 Console.WriteLine($"\nAgent: {response}");

diff --git a/dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step12_Middleware/Program.cs b/dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step12_Middleware/Program.cs
@@ -193,27 +193,24 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
 {
     AgentResponse response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
 
-    List<UserInputRequestContent> userInputRequests = response.UserInputRequests.ToList();
+    // For simplicity, we are assuming here that only function approvals are pending.
+    List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
 
-    while (userInputRequests.Count > 0)
+    while (approvalRequests.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.
-
         // Pass the user input responses back to the agent for further processing.
-        response.Messages = userInputRequests
-            .OfType<FunctionApprovalRequestContent>()
-            .Select(functionApprovalRequest =>
+        response.Messages = approvalRequests
+            .ConvertAll(functionApprovalRequest =>
             {
                 Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
                 bool approved = Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false;
                 return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(approved)]);
-            })
-            .ToList();
+            });
 
         response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
 
-        userInputRequests = response.UserInputRequests.ToList();
+        approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
     }
 
     return response;

diff --git a/dotnet/samples/GettingStarted/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs b/dotnet/samples/GettingStarted/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
@@ -75,17 +75,16 @@
     });
 
 // You can then invoke the agent like any other AIAgent.
-var sessionWithRequiredApproval = await agentWithRequiredApproval.CreateSessionAsync();
-var response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
-var userInputRequests = response.UserInputRequests.ToList();
+// For simplicity, we are assuming here that only mcp tool approvals are pending.
+AgentSession sessionWithRequiredApproval = await agentWithRequiredApproval.CreateSessionAsync();
+AgentResponse response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
+List<McpServerToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
 
-while (userInputRequests.Count > 0)
+while (approvalRequests.Count > 0)
 {
     // Ask the user to approve each MCP call request.
-    // For simplicity, we are assuming here that only MCP approval requests are being made.
-    var userInputResponses = userInputRequests
-        .OfType<McpServerToolApprovalRequestContent>()
-        .Select(approvalRequest =>
+    List<ChatMessage> userInputResponses = approvalRequests
+        .ConvertAll(approvalRequest =>
         {
             Console.WriteLine($"""
                 The agent would like to invoke the following MCP Tool, please reply Y to approve.
@@ -94,13 +93,12 @@
                 Arguments: {string.Join(", ", approvalRequest.ToolCall.Arguments?.Select(x => $"{x.Key}: {x.Value}") ?? [])}
                 """);
             return new ChatMessage(ChatRole.User, [approvalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
-        })
-        .ToList();
+        });
 
     // Pass the user input responses back to the agent for further processing.
     response = await agentWithRequiredApproval.RunAsync(userInputResponses, sessionWithRequiredApproval);
 
-    userInputRequests = response.UserInputRequests.ToList();
+    approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
 }
 
 Console.WriteLine($"\nAgent: {response}");
diff --git a/dotnet/samples/GettingStarted/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs b/dotnet/samples/GettingStarted/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs
@@ -64,17 +64,16 @@
         tools: [mcpToolWithApproval]);
 
 // You can then invoke the agent like any other AIAgent.
-var sessionWithRequiredApproval = await agentWithRequiredApproval.CreateSessionAsync();
-var response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
-var userInputRequests = response.UserInputRequests.ToList();
+// For simplicity, we are assuming here that only mcp tool approvals are pending.
+AgentSession sessionWithRequiredApproval = await agentWithRequiredApproval.CreateSessionAsync();
+AgentResponse response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
+List<McpServerToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
 
-while (userInputRequests.Count > 0)
+while (approvalRequests.Count > 0)
 {
     // Ask the user to approve each MCP call request.
-    // For simplicity, we are assuming here that only MCP approval requests are being made.
-    var userInputResponses = userInputRequests
-        .OfType<McpServerToolApprovalRequestContent>()
-        .Select(approvalRequest =>
+    List<ChatMessage> userInputResponses = approvalRequests
+        .ConvertAll(approvalRequest =>
         {
             Console.WriteLine($"""
                 The agent would like to invoke the following MCP Tool, please reply Y to approve.
@@ -83,13 +82,12 @@
                 Arguments: {string.Join(", ", approvalRequest.ToolCall.Arguments?.Select(x => $"{x.Key}: {x.Value}") ?? [])}
                 """);
             return new ChatMessage(ChatRole.User, [approvalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
-        })
-        .ToList();
+        });
 
     // Pass the user input responses back to the agent for further processing.
     response = await agentWithRequiredApproval.RunAsync(userInputResponses, sessionWithRequiredApproval);
 
-    userInputRequests = response.UserInputRequests.ToList();
+    approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
 }
 
 Console.WriteLine($"\nAgent: {response}");
diff --git a/dotnet/samples/M365Agent/AFAgentApplication.cs b/dotnet/samples/M365Agent/AFAgentApplication.cs
@@ -131,58 +131,54 @@ private static ChatMessage HandleUserInput(ITurnContext turnContext)
     }
 
     /// <summary>
-    /// When the agent returns any user input requests, this method converts them into adaptive cards that
+    /// When the agent returns any function approval requests, this method converts them into adaptive cards that
     /// asks the user to approve or deny the requests.
     /// </summary>
-    /// <param name="response">The <see cref="AgentResponse"/> that may contain the user input requests.</param>
+    /// <param name="response">The <see cref="AgentResponse"/> that may contain the function approval requests.</param>
     /// <param name="attachments">The list of <see cref="Attachment"/> to which the adaptive cards will be added.</param>
     private static void HandleUserInputRequests(AgentResponse response, ref List<Attachment>? attachments)
     {
-        var userInputRequests = response.UserInputRequests.ToList();
-        if (userInputRequests.Count > 0)
+        foreach (FunctionApprovalRequestContent functionApprovalRequest in response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>())
         {
-            foreach (var functionApprovalRequest in userInputRequests.OfType<FunctionApprovalRequestContent>())
+            var functionApprovalRequestJson = JsonSerializer.Serialize(functionApprovalRequest, JsonUtilities.DefaultOptions);
+
+            var card = new AdaptiveCard("1.5");
+            card.Body.Add(new AdaptiveTextBlock
             {
-                var functionApprovalRequestJson = JsonSerializer.Serialize(functionApprovalRequest, JsonUtilities.DefaultOptions);
-
-                var card = new AdaptiveCard("1.5");
-                card.Body.Add(new AdaptiveTextBlock
-                {
-                    Text = "Function Call Approval Required",
-                    Size = AdaptiveTextSize.Large,
-                    Weight = AdaptiveTextWeight.Bolder,
-                    HorizontalAlignment = AdaptiveHorizontalAlignment.Center
-                });
-                card.Body.Add(new AdaptiveTextBlock
-                {
-                    Text = $"Function: {functionApprovalRequest.FunctionCall.Name}"
-                });
-                card.Body.Add(new AdaptiveActionSet()
-                {
-                    Actions =
-                    [
-                        new AdaptiveSubmitAction
-                        {
-                            Id = "Approve",
-                            Title = "Approve",
-                            Data = new { type = "functionApproval", approved = true, requestJson = functionApprovalRequestJson }
-                        },
-                        new AdaptiveSubmitAction
-                        {
-                            Id = "Deny",
-                            Title = "Deny",
-                            Data = new { type = "functionApproval", approved = false, requestJson = functionApprovalRequestJson }
-                        }
-                    ]
-                });
-
-                attachments ??= [];
-                attachments.Add(new Attachment()
-                {
-                    ContentType = "application/vnd.microsoft.card.adaptive",
-                    Content = card.ToJson(),
-                });
-            }
+                Text = "Function Call Approval Required",
+                Size = AdaptiveTextSize.Large,
+                Weight = AdaptiveTextWeight.Bolder,
+                HorizontalAlignment = AdaptiveHorizontalAlignment.Center
+            });
+            card.Body.Add(new AdaptiveTextBlock
+            {
+                Text = $"Function: {functionApprovalRequest.FunctionCall.Name}"
+            });
+            card.Body.Add(new AdaptiveActionSet()
+            {
+                Actions =
+                [
+                    new AdaptiveSubmitAction
+                    {
+                        Id = "Approve",
+                        Title = "Approve",
+                        Data = new { type = "functionApproval", approved = true, requestJson = functionApprovalRequestJson }
+                    },
+                    new AdaptiveSubmitAction
+                    {
+                        Id = "Deny",
+                        Title = "Deny",
+                        Data = new { type = "functionApproval", approved = false, requestJson = functionApprovalRequestJson }
+                    }
+                ]
+            });
+
+            attachments ??= [];
+            attachments.Add(new Attachment()
+            {
+                ContentType = "application/vnd.microsoft.card.adaptive",
+                Content = card.ToJson(),
+            });
         }
     }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/AgentResponse.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/AgentResponse.cs
@@ -6,7 +6,6 @@
 #endif
 using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
-using System.Linq;
 
 #if NET
 using System.Text;
@@ -125,21 +124,6 @@ public IList<ChatMessage> Messages
     [JsonIgnore]
     public string Text => this._messages?.ConcatText() ?? string.Empty;
 
-    /// <summary>
-    /// Gets all user input requests present in the response messages.
-    /// </summary>
-    /// <value>
-    /// An enumerable collection of <see cref="UserInputRequestContent"/> instances found
-    /// across all messages in the response.
-    /// </value>
-    /// <remarks>
-    /// User input requests indicate that the agent is asking for additional information
-    /// from the user before it can continue processing. This property aggregates all such
-    /// requests across all messages in the response.
-    /// </remarks>
-    [JsonIgnore]
-    public IEnumerable<UserInputRequestContent> UserInputRequests => this._messages?.SelectMany(x => x.Contents).OfType<UserInputRequestContent>() ?? [];
-
     /// <summary>
     /// Gets or sets the identifier of the agent that generated this response.
     /// </summary>