Maintain Context with Multi-Turn Conversations Done

dotnet add package Microsoft.Agents.AI.OpenAI
dotnet add package OpenAI
dotnet restore

dotnet add package Microsoft.Agents.AI.OpenAI
dotnet add package Azure.AI.OpenAI
dotnet restore

using OpenAI;
using System.ClientModel;
using Microsoft.Agents.AI;
using OpenAI.Chat;
using System.ComponentModel;

// 1. Configure the Provider
var endpoint = Environment.GetEnvironmentVariable("OPENAI_ENDPOINT") ?? "http://localhost:1234/v1";
var modelName = Environment.GetEnvironmentVariable("OPENAI_MODEL_NAME") ?? "google/gemma-4-e4b";
var chatClient = new OpenAIClient(new ApiKeyCredential("dummy"), new OpenAIClientOptions { Endpoint = new Uri(endpoint) })
    .GetChatClient(modelName);

// 2. Initialize the Agent with Tools

AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
{
    Name = "TriageAgent",
    ChatOptions = new()
    {
        Instructions = """
        You are an enterprise incident triage assistant.
        Summarize the incident, identify likely severity, 
        and suggest the next investigation step.
        Always address the operator by their name and use their role to tailor your response.
        Keep answers concise and operational.
        """,
        Tools = [
            AIFunctionFactory.Create(GetServiceStatus, "GetServiceStatus"),
            AIFunctionFactory.Create(GetOnCallEngineer, "GetOnCallEngineer")
        ]
    }
});

// 3. Create the Session (Memory)
AgentSession session = await agent.CreateSessionAsync();

// 4. Turn 1: Providing Context
Console.WriteLine("--- Turn 1 ---");
var turn1 = "Checkout latency is above threshold in West Europe (4.8s).";
await foreach (var update in agent.RunStreamingAsync(turn1, session))
{
    Console.Write(update);
}
Console.WriteLine("\n");

// 5. Turn 2: Follow-up (Relies on Memory)
Console.WriteLine("--- Turn 2 ---");
var turn2 = "Who is on call for that?";
await foreach (var update in agent.RunStreamingAsync(turn2, session))
{
    Console.Write(update);
}
Console.WriteLine();

// Tool Definitions (from Module 2)
[Description("Gets the current health status for an enterprise service.")]
static string GetServiceStatus(
    [Description("The service name to check, such as checkout, payments, or inventory.")] string serviceName)
{
    return serviceName.ToLowerInvariant() switch
    {
        "checkout" => "Checkout is DEGRADED in West Europe. P95 latency is 4.8s. Payment retries are elevated.",
        "payments" => "Payments is HEALTHY. No active regional alerts.",
        "inventory" => "Inventory is HEALTHY. Last sync 2 minutes ago.",
        _ => $"{serviceName} has no active status record in the demo store."
    };
}

[Description("Gets the name of the engineer currently on-call.")]
static string GetOnCallEngineer(
    [Description("The service name to check.")] string serviceName) => "Taylor Vance (@tvance)";

using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using System.ComponentModel;

// 1. Configure the Provider
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!;
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME")!;

// 2. Initialize the Agent with Tools
var chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
    .GetChatClient(deploymentName);

AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
{
    Name = "TriageAgent",
    ChatOptions = new()
    {
        Instructions = """
        You are an enterprise incident triage assistant.
        Summarize the incident, identify likely severity, 
        and suggest the next investigation step.
        Always address the operator by their name and use their role to tailor your response.
        Keep answers concise and operational.
        """,
        Tools = [
            AIFunctionFactory.Create(GetServiceStatus, "GetServiceStatus"),
            AIFunctionFactory.Create(GetOnCallEngineer, "GetOnCallEngineer")
        ]
    }
  });

// 3. Create the Session (Memory)
AgentSession session = await agent.CreateSessionAsync();

// 4. Turn 1: Providing Context
Console.WriteLine("--- Turn 1 ---");
var turn1 = "Checkout latency is above threshold in West Europe (4.8s).";
await foreach (var update in agent.RunStreamingAsync(turn1, session))
{
    Console.Write(update);
}
Console.WriteLine("\n");

// 5. Turn 2: Follow-up (Relies on Memory)
Console.WriteLine("--- Turn 2 ---");
var turn2 = "Who is on call for that?";
await foreach (var update in agent.RunStreamingAsync(turn2, session))
{
    Console.Write(update);
}
Console.WriteLine();

// Tool Definitions (from Module 2)
[Description("Gets the current health status for an enterprise service.")]
static string GetServiceStatus(
    [Description("The service name to check, such as checkout, payments, or inventory.")] string serviceName)
{
    return serviceName.ToLowerInvariant() switch
    {
        "checkout" => "Checkout is DEGRADED in West Europe. P95 latency is 4.8s. Payment retries are elevated.",
        "payments" => "Payments is HEALTHY. No active regional alerts.",
        "inventory" => "Inventory is HEALTHY. Last sync 2 minutes ago.",
        _ => $"{serviceName} has no active status record in the demo store."
    };
}

[Description("Gets the name of the engineer currently on-call.")]
static string GetOnCallEngineer(
    [Description("The service name to check.")] string serviceName) => "Taylor Vance (@tvance)";

Deep History

Add a third turn to your code that asks for a summary of the entire conversation so far.

Console.WriteLine("--- Turn 3 ---");
await foreach (var update in agent.RunStreamingAsync("Summarize our discussion.", session))
{
    Console.Write(update);
}

Result: The agent will recount the specific incident details and the follow-up question you asked.

Break the Memory

Try running the second turn without passing the session object:

// Turn 2 without session
await foreach (var update in agent.RunStreamingAsync(turn2)) { ... }

Result: The agent will fail to answer the question, typically responding with something like “I don’t have information about a specific latency or region. Could you provide those details?”

Enforce a Protocol

Memory doesn’t just store facts; it stores behavioral rules established during the conversation. Update your turn1 variable in Program.cs to include a specific protocol:

var turn1 = """
Checkout latency is above threshold in West Europe (4.8s).
Also, for any incident in West Europe, you must always include 
a 'Directive' section at the end of your response that says 'Notify @emea-oncall'.
""";

Then ask an unrelated follow-up about the latency in Turn 2.

Result: The agent will remember the protocol established in the first turn and apply it to the second, proving that the Session maintains the “evolved” persona as well as the incident data.