In AgentGroupChat only One Agent is Participating out of three? My Code is in C# and uses Agentic Framework

[lovedeepatsgit]

In the Below Code Only One Agent (Agent_One) responds and the conversation stops, I have tried this code many times but still getting the same issue, If someone have some insights or solutions then please reply to this query.

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.ChatCompletion;
using Microsoft.SemanticKernel.Agents.Chat;
using Microsoft.SemanticKernel.Agents.History;
using System;


string AZURE_OPEN_AI_ENDPOINT = "ABC";
string AZURE_OPEN_AI_KEY = "XYZ";
string DEPLOYMENT_MODEL = "gpt-4o";

IKernelBuilder builder = Kernel.CreateBuilder();

builder.AddAzureOpenAIChatCompletion(
    DEPLOYMENT_MODEL,
    AZURE_OPEN_AI_ENDPOINT,
    AZURE_OPEN_AI_KEY);

Kernel kernel = builder.Build();

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
ChatCompletionAgent agent_teacher =
    new()
    {
        Name = "Agent_One",
        Instructions = "You are an Helpful Ai Teacher, who helps students to Learn Statistics.",
        Kernel = kernel
    };
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

ChatCompletionAgent beta_agent =
    new()
    {
        Name = "Agent_Two",
        Instructions = "Your are Assessment Teacher, Your task is listen to the conversation and ask questions to test the knowledge of students.",
        Kernel = kernel
    };
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
ChatCompletionAgent gamma_agent =
    new()
    {
        Name = "Agent_Three",
        Instructions = "You are an expert in Statistics, Your task is to provide the correct answers to the questions",
        Kernel = kernel
    };
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

//Defining the agent names for use in functions
#pragma warning disable CS0219 // Variable is assigned but its value is never used
const string Agent_One = "agent_teacher";
const string Agent_Two = "beta_agent";
const string Agent_Three = "gamma_agent";
#pragma warning restore CS0219 // Variable is assigned but its value is never used

// Defining a Kernel Function for Selection Strategy of Agents
#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
KernelFunction selectionFunction =
    AgentGroupChat.CreatePromptFunctionForStrategy(
        $$$"""
        Determine which participant to take the next turn in a conversation.

        Choose only from these participants:
        - {{Agent_One}}
        - {{Agent_Two}}
        - {{Agent_Three}}

        Always follow these rules when selecting the next participant:
        - After {{Agent_One}} takes a turn, {{Agent_Two}} should take the next turn.
        - After {{Agent_Two}} takes a turn, {{Agent_Three}} should take the next turn.

        History:
        {{$history}}
        """,
        safeParameterNames: "history");
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.


// Defining Selection staretgy for the agent group chat
#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
KernelFunctionSelectionStrategy selectionStrategy =
    new(selectionFunction, kernel)
    {
        // Always start with teacher_agent (agent_one)
        InitialAgent = agent_teacher,
        //Parse the function response.
        ResultParser = (result) => result.GetValue<string>() ?? Agent_One,
        // The prompt variable name for the history argument.
        HistoryVariableName = "history",
    };
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

// Defining a kernel function for the termination strategy of the agent group chat.
#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
KernelFunction terminationFunction =
    AgentGroupChat.CreatePromptFunctionForStrategy(
        $$$"""
        Determine if the conversation should be terminated.
        if the gamma_agent has spoken type 'terminate'.

        History:
        {{$history}}
        """,
        safeParameterNames: "history");
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

//Define the termination strategy for the agent group chat.
#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
KernelFunctionTerminationStrategy terminationStrategy =
    new(terminationFunction, kernel)
    {
        //Agents can approve.
        Agents =[agent_teacher,beta_agent,gamma_agent],
        //Parse the function response.
        ResultParser = (result) =>
        result.GetValue<string>()?.Contains("terminate", StringComparison.OrdinalIgnoreCase) ?? false,
        //The prompt variable name for the history argument.
        HistoryVariableName = "history",
        //Limit total number of turns to 10.
        MaximumIterations = 10,
    };
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
AgentGroupChat agentGroupChat = new(agent_teacher, beta_agent,gamma_agent)
{
    ExecutionSettings = new AgentGroupChatSettings
    {
        SelectionStrategy = selectionStrategy,
        TerminationStrategy = terminationStrategy,
    }
 };
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
agentGroupChat.AddChatMessage(new ChatMessageContent(AuthorRole.User, "What is the use statistics in real life?"));
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
await foreach (ChatMessageContent response in agentGroupChat.InvokeAsync())
{
    Console.WriteLine("**************************************************");
#pragma warning disable SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
    Console.WriteLine(value: $"[{response.AuthorName}] {response.Content}");
#pragma warning restore SKEXP0001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
}
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
ChatMessageContent[] history = await agentGroupChat.GetChatMessagesAsync().ToArrayAsync();
#pragma warning restore SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
foreach (var message in history)
{
    Console.WriteLine(message.ToString());
}

[moonbox3]

Tagging @crickman for visibility.

[crickman]

Thanks for your question and the clear code sample, @lovedeepatsgit.

A couple observations:

• You can include NoWarn property in your .csproj instead of placing #pragma statements in code:
  https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/GettingStartedWithAgents.csproj#L12
• You aren't assigning the agents the names you intended to use in the strategy
• The intended agent names aren't being propertly substited in your strategy prompt template (missing 3rd brace)
• Your termination logic will result in true for the following statement: The conversation should not be terminated, as gamma_agent has not spoken.
• You can inspect if termination criteria has been achieved via the IsComplete property on the AgentGroupChat
• Adding debug output on the result parsing of either strategy can provide insight as to how the model is responding
• You may want to consider using a history reducer for both strategies as your logic only relies upon the most recent message (will save tokens):
  https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/Step04_KernelFunctionStrategies.cs#L88
• You might employ a more strict approach to the strategy prompt result (i.e. structured output): { "shouldereminate": true }

Please try running this version to make progress on your starting point:

        //Defining the agent names for use in functions
        const string Agent_One = "agent_teacher";
        const string Agent_Two = "beta_agent";
        const string Agent_Three = "gamma_agent";

        ChatCompletionAgent agent_teacher =
            new()
            {
                //Name = "Agent_One",
                Name = Agent_One,
                Instructions = "You are an Helpful Ai Teacher, who helps students to Learn Statistics.",
                Kernel = kernel
            };

        ChatCompletionAgent beta_agent =
            new()
            {
                //Name = "Agent_Two",
                Name = Agent_Two,
                Instructions = "Your are Assessment Teacher, Your task is listen to the conversation and ask questions to test the knowledge of students.",
                Kernel = kernel
            };

        ChatCompletionAgent gamma_agent =
            new()
            {
                //Name = "Agent_Three",
                Name = Agent_Three,
                Instructions = "You are an expert in Statistics, Your task is to provide the correct answers to the questions",
                Kernel = kernel
            };

        // Defining a Kernel Function for Selection Strategy of Agents
        KernelFunction selectionFunction =
            AgentGroupChat.CreatePromptFunctionForStrategy(
                $$$"""
                Determine which participant to take the next turn in a conversation.

                Choose only from these participants:
                - {{{Agent_One}}}
                - {{{Agent_Two}}}
                - {{{Agent_Three}}}

                Always follow these rules when selecting the next participant:
                - After {{{Agent_One}}} takes a turn, {{{Agent_Two}}} should take the next turn.
                - After {{{Agent_Two}}} takes a turn, {{{Agent_Three}}} should take the next turn.

                Reply only with the agent name without explanation or formatting.

                History:
                {{$history}}
                """,
                safeParameterNames: "history");

        // Defining Selection staretgy for the agent group chat
        KernelFunctionSelectionStrategy selectionStrategy =
            new(selectionFunction, kernel)
            {
                // Always start with teacher_agent (agent_one)
                InitialAgent = agent_teacher,
                //Parse the function response.
                ResultParser = (result) =>
                {
                    Console.WriteLine("###: " + result);
                    return result.GetValue<string>() ?? Agent_One;
                },
                // The prompt variable name for the history argument.
                HistoryVariableName = "history",
            };
        // Defining a kernel function for the termination strategy of the agent group chat.
        KernelFunction terminationFunction =
            AgentGroupChat.CreatePromptFunctionForStrategy(
                $$$"""
                if {{{Agent_Three}}} has spoken respond with the single word: terminate.
                otherwise respond with the single word: continue.

                History:
                {{$history}}
                """,
                safeParameterNames: "history");

        //Define the termination strategy for the agent group chat.
        KernelFunctionTerminationStrategy terminationStrategy =
            new(terminationFunction, kernel)
            {
                //Agents can approve.
                Agents = [agent_teacher, beta_agent, gamma_agent],
                //Parse the function response.
                ResultParser = (result) =>
                {
                    Console.WriteLine("$$$: " + result);
                    return result.GetValue<string>()?.Contains("terminate", StringComparison.OrdinalIgnoreCase) ?? false;
                },
                //The prompt variable name for the history argument.
                HistoryVariableName = "history",
                //Limit total number of turns to 10.
                MaximumIterations = 10,
            };
        AgentGroupChat agentGroupChat = new(agent_teacher, beta_agent, gamma_agent)
        {
            ExecutionSettings = new AgentGroupChatSettings
            {
                SelectionStrategy = selectionStrategy,
                TerminationStrategy = terminationStrategy,
            }
        };

        agentGroupChat.AddChatMessage(new ChatMessageContent(AuthorRole.User, "What is the use statistics in real life?"));

        await foreach (ChatMessageContent response in agentGroupChat.InvokeAsync())
        {
            Console.WriteLine("**************************************************");
            Console.WriteLine(value: $"[{response.AuthorName}] {response.Content}");
        }
        Console.WriteLine(agentGroupChat.IsComplete);

[lovedeepatsgit]

Thanks a Lot @crickman ,but I am getting the below error, but can be the solution of this:

And, the out in CLI is as below:

[lovedeepatsgit]

When I changed the SelectStrategy as Below:

// Defining Selection staretgy for the agent group chat
KernelFunctionSelectionStrategy selectionStrategy =
new(selectionFunction, kernel)
{
// Always start with teacher_agent (agent_one)
InitialAgent = agent_teacher,
//Parse the function response.
ResultParser = (result) =>
{
Console.WriteLine("###: " + result);
return result.GetValue() ?? Agent_One;
},
// The prompt variable name for the history argument.
HistoryVariableName = "history",
// Only include the agent names and not the message content
EvaluateNameOnly = true,
};
---
I have added EvaluateNameOnly = true only, and due to this the error has changed to as below:
---

And The Cmd Shows:

---

For Referral Again the Complete code as below;

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.ChatCompletion;
using Microsoft.SemanticKernel.Agents.Chat;
using Microsoft.SemanticKernel.Agents.History;
using System;
using System.Runtime.CompilerServices;
using Azure;

internal class Program
{
private static async Task Main(string[] args)
{
string AZURE_OPEN_AI_ENDPOINT = "ABC";
string AZURE_OPEN_AI_KEY = "ABC";
string DEPLOYMENT_MODEL = "gpt-4o";

    IKernelBuilder builder = Kernel.CreateBuilder();

    builder.AddAzureOpenAIChatCompletion(
        DEPLOYMENT_MODEL,
        AZURE_OPEN_AI_ENDPOINT,
        AZURE_OPEN_AI_KEY);

    Kernel kernel = builder.Build();

    //Defining the agent names for use in functions
    const string Agent_One = "agent_teacher";
    const string Agent_Two = "beta_agent";
    const string Agent_Three = "gamma_agent";

    ChatCompletionAgent agent_teacher =
        new()
        {
            Name = "Agent_One",
            Instructions = "You are an Helpful Ai Teacher, who helps students to Learn Statistics.",
            Kernel = kernel
        };

    ChatCompletionAgent beta_agent =
        new()
        {
            Name = "Agent_Two",
            Instructions = "Your are Assessment Teacher, Your task is listen to the conversation and ask questions to test the knowledge of students.",
            Kernel = kernel
        };

    ChatCompletionAgent gamma_agent =
        new()
        {
            Name = "Agent_Three",
            Instructions = "You are an expert in Statistics, Your task is to provide the correct answers to the questions",
            Kernel = kernel
        };

    // Defining a Kernel Function for Selection Strategy of Agents
    KernelFunction selectionFunction =
        AgentGroupChat.CreatePromptFunctionForStrategy(
            $$$"""
            Determine which participant to take the next turn in a conversation.

            Choose only from these participants:
            - {{{Agent_One}}}
            - {{{Agent_Two}}}
            - {{{Agent_Three}}}

            Always follow these rules when selecting the next participant:
            - After {{{Agent_One}}} takes a turn, {{{Agent_Two}}} should take the next turn.
            - After {{{Agent_Two}}} takes a turn, {{{Agent_Three}}} should take the next turn.

            Reply only with the agent name without explanation or formatting.

            History:
            {{$history}}
            """,
            safeParameterNames: "history");

    // Defining Selection staretgy for the agent group chat
    KernelFunctionSelectionStrategy selectionStrategy =
        new(selectionFunction, kernel)
        {
            // Always start with teacher_agent (agent_one)
            InitialAgent = agent_teacher,
            //Parse the function response.
            ResultParser = (result) =>
            {
                Console.WriteLine("###: " + result);
                return result.GetValue<string>() ?? Agent_One;
            },
            // The prompt variable name for the history argument.
            HistoryVariableName = "history",
            // Only include the agent names and not the message content
            EvaluateNameOnly = true,
        };

    // Defining a kernel function for the termination strategy of the agent group chat.
    KernelFunction terminationFunction =
        AgentGroupChat.CreatePromptFunctionForStrategy(
            $$$"""
            If {{{Agent_Three}}} has spoken respond with the single word: terminate.
            otherwise respond with the single word: continue.

            History:
            {{$history}}
            """,
            safeParameterNames: "history");

    //Define the termination strategy for the agent group chat.
    KernelFunctionTerminationStrategy terminationStrategy =
        new(terminationFunction, kernel)
        {
            //Agents can approve.
            Agents = [agent_teacher, beta_agent, gamma_agent],
            //Parse the function response.
            ResultParser = (result) =>
            {
                Console.WriteLine("$$$: " + result);
                return result.GetValue<string>()?.Contains("terminate", StringComparison.OrdinalIgnoreCase) ?? false;
            },
            //The prompt variable name for the history argument.
            HistoryVariableName = "history",
            //Limit total number of turns to 10.
            MaximumIterations = 10,
        };

    AgentGroupChat agentGroupChat = new(agent_teacher, beta_agent, gamma_agent)
    {
        ExecutionSettings = new AgentGroupChatSettings
        {
            SelectionStrategy = selectionStrategy,
            TerminationStrategy = terminationStrategy,
        }
    };

    // Start the conversation
    agentGroupChat.AddChatMessage(new ChatMessageContent(AuthorRole.User, "What is the use statistics in real life? in 100 words."));

    await foreach (ChatMessageContent response in agentGroupChat.InvokeAsync())
    {
        Console.WriteLine("**************************************************");
        Console.WriteLine(value: $"[{response.AuthorName}] {response.Content}");
    }
}

}

[lovedeepatsgit]

@crickman Please Provide some details