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.NET: [BREAKING] Remove UserInputRequests property (#3682)

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* Remove UserInputRequests property

* Fix formatting issue.
This commit is contained in:
westey
2026-02-05 12:07:07 +00:00
committed by GitHub
Unverified
parent eaad042241
commit aa88195dcd
11 changed files with 92 additions and 186 deletions
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dotnet/samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs
+11 -13
View File
@@ -29,36 +29,34 @@ AIAgent agent = new AzureOpenAIClient(
.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}");
dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/Program.cs
+8 -11
View File
@@ -210,28 +210,25 @@ async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages,
// 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($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
})
.ToList();
});
response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
userInputRequests = response.UserInputRequests.ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
}
return response;
dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/Program.cs
+8 -10
View File
@@ -35,27 +35,25 @@ AIAgent agent = await aiProjectClient.CreateAIAgentAsync(name: AssistantName, mo
AgentSession session = await agent.CreateSessionAsync();
AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
// Check if there are any user input requests (approvals needed).
List<UserInputRequestContent> userInputRequests = response.UserInputRequests.ToList();
// Check if there are any approval requests.
// For simplicity, we are assuming here that only function approvals are pending.
List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
while (userInputRequests.Count > 0)
while (approvalRequests.Count > 0)
{
// Ask the user to approve each function call request.
// For simplicity, we are assuming here that only function approval requests are being made.
List<ChatMessage> userInputMessages = userInputRequests
.OfType<FunctionApprovalRequestContent>()
.Select(functionApprovalRequest =>
List<ChatMessage> userInputMessages = approvalRequests
.ConvertAll(functionApprovalRequest =>
{
Console.WriteLine($"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($"\nAgent: {response}");
dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step12_Middleware/Program.cs
+7 -10
View File
@@ -193,27 +193,24 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
{
AgentResponse response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
List<UserInputRequestContent> userInputRequests = response.UserInputRequests.ToList();
// For simplicity, we are assuming here that only function approvals are pending.
List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
while (userInputRequests.Count > 0)
while (approvalRequests.Count > 0)
{
// Ask the user to approve each function call request.
// For simplicity, we are assuming here that only function approval requests are being made.
// Pass the user input responses back to the agent for further processing.
response.Messages = userInputRequests
.OfType<FunctionApprovalRequestContent>()
.Select(functionApprovalRequest =>
response.Messages = approvalRequests
.ConvertAll(functionApprovalRequest =>
{
Console.WriteLine($"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;
dotnet/samples/GettingStarted/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
+9 -11
View File
@@ -75,17 +75,16 @@ AIAgent agentWithRequiredApproval = await persistentAgentsClient.CreateAIAgentAs
});
// 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 @@ while (userInputRequests.Count > 0)
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}");
dotnet/samples/GettingStarted/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs
+9 -11
View File
@@ -64,17 +64,16 @@ AIAgent agentWithRequiredApproval = new AzureOpenAIClient(
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 @@ while (userInputRequests.Count > 0)
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}");