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Chris 904a5b843e Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091)

* Moved by agent (#4094)

* Fix readme links

* .NET Samples - Create `04-hosting` learning path step (#4098)

* Agent move

* Agent reorderd

* Remove A2A section from README 

Removed A2A section from the Getting Started README.

* Agent fixed links

* Fix broken sample links in durable-agents README (#4101)

* Initial plan

* Fix broken internal links in documentation

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Revert template link changes; keep only durable-agents README fix

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* .NET Samples - Create `03-workflows` learning path step (#4102)

* Fix solution project path

* Python: Fix broken markdown links to repo resources (outside /docs) (#4105)

* Initial plan

* Fix broken markdown links to repo resources

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Update README to rename .NET Workflows Samples section

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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* .NET Samples - Create `02-agents` learning path step (#4107)

* .NET: Fix broken relative link in GroupChatToolApproval README (#4108)

* Initial plan

* Fix broken link in GroupChatToolApproval README

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Update labeler configuration for workflow samples

* .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110)

* Fix solution

* Resolve new sample paths

* Move new AgentSkills and AgentWithMemory_Step04 samples

* Fix link

* Fix readme path

* fix: update stale dotnet/samples/Durable path reference in AGENTS.md

Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

* Moved new sample

* Update solution

* Resolve merge (new sample)

* Sync to new sample - FoundryAgents_Step21_BingCustomSearch

* Updated README

* .NET Samples - Configuration Naming Update (#4149)

* .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221)

* Clean-up `05_host_your_agent`

* Config setting consistency

* Refine samples

* AGENTS.md

* Move new samples

* Re-order samples

* Move new project and fixup solution

* Fixup model config

* Fix up new UT project

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Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
2026-02-26 00:56:10 +00:00

306 lines
12 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json;
using System.Text.Json.Serialization;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
namespace WorkflowSwitchCaseSample;
/// <summary>
/// This sample introduces conditional routing using switch-case logic for complex decision trees.
///
/// Building on the previous email automation examples, this workflow adds a third decision path
/// to handle ambiguous cases where spam detection is uncertain. Now the workflow can route emails
/// three ways based on the detection result:
///
/// 1. Not Spam → Email Assistant → Send Email
/// 2. Spam → Handle Spam Executor
/// 3. Uncertain → Handle Uncertain Executor (default case)
///
/// The switch-case pattern provides cleaner syntax than multiple individual edge conditions,
/// especially when dealing with multiple possible outcomes. This approach scales well for
/// workflows that need to handle many different scenarios.
/// </summary>
/// <remarks>
/// Pre-requisites:
/// - Foundational samples should be completed first.
/// - Shared state is used in this sample to persist email data between executors.
/// - An Azure OpenAI chat completion deployment that supports structured outputs must be configured.
/// </remarks>
public static class Program
{
private static async Task Main()
{
// Set up the Azure OpenAI client
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";
var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
// Create agents
AIAgent spamDetectionAgent = GetSpamDetectionAgent(chatClient);
AIAgent emailAssistantAgent = GetEmailAssistantAgent(chatClient);
// Create executors
var spamDetectionExecutor = new SpamDetectionExecutor(spamDetectionAgent);
var emailAssistantExecutor = new EmailAssistantExecutor(emailAssistantAgent);
var sendEmailExecutor = new SendEmailExecutor();
var handleSpamExecutor = new HandleSpamExecutor();
var handleUncertainExecutor = new HandleUncertainExecutor();
// Build the workflow by adding executors and connecting them
WorkflowBuilder builder = new(spamDetectionExecutor);
builder.AddSwitch(spamDetectionExecutor, switchBuilder =>
switchBuilder
.AddCase(
GetCondition(expectedDecision: SpamDecision.NotSpam),
emailAssistantExecutor
)
.AddCase(
GetCondition(expectedDecision: SpamDecision.Spam),
handleSpamExecutor
)
.WithDefault(
handleUncertainExecutor
)
)
// After the email assistant writes a response, it will be sent to the send email executor
.AddEdge(emailAssistantExecutor, sendEmailExecutor)
.WithOutputFrom(handleSpamExecutor, sendEmailExecutor, handleUncertainExecutor);
var workflow = builder.Build();
// Read a email from a text file
string email = Resources.Read("ambiguous_email.txt");
// Execute the workflow
await using StreamingRun run = await InProcessExecution.RunStreamingAsync(workflow, new ChatMessage(ChatRole.User, email));
await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
if (evt is WorkflowOutputEvent outputEvent)
{
Console.WriteLine($"{outputEvent}");
}
}
}
/// <summary>
/// Creates a condition for routing messages based on the expected spam detection result.
/// </summary>
/// <param name="expectedDecision">The expected spam detection decision</param>
/// <returns>A function that evaluates whether a message meets the expected result</returns>
private static Func<object?, bool> GetCondition(SpamDecision expectedDecision) => detectionResult => detectionResult is DetectionResult result && result.spamDecision == expectedDecision;
/// <summary>
/// Creates a spam detection agent.
/// </summary>
/// <returns>A ChatClientAgent configured for spam detection</returns>
private static ChatClientAgent GetSpamDetectionAgent(IChatClient chatClient) =>
new(chatClient, new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = "You are a spam detection assistant that identifies spam emails. Be less confident in your assessments.",
ResponseFormat = ChatResponseFormat.ForJsonSchema<DetectionResult>()
}
});
/// <summary>
/// Creates an email assistant agent.
/// </summary>
/// <returns>A ChatClientAgent configured for email assistance</returns>
private static ChatClientAgent GetEmailAssistantAgent(IChatClient chatClient) =>
new(chatClient, new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = "You are an email assistant that helps users draft responses to emails with professionalism.",
ResponseFormat = ChatResponseFormat.ForJsonSchema<EmailResponse>()
}
});
}
/// <summary>
/// Constants for shared email state.
/// </summary>
internal static class EmailStateConstants
{
public const string EmailStateScope = "EmailState";
}
/// <summary>
/// Represents the possible decisions for spam detection.
/// </summary>
public enum SpamDecision
{
NotSpam,
Spam,
Uncertain
}
/// <summary>
/// Represents the result of spam detection.
/// </summary>
public sealed class DetectionResult
{
[JsonPropertyName("spam_decision")]
[JsonConverter(typeof(JsonStringEnumConverter))]
public SpamDecision spamDecision { get; set; }
[JsonPropertyName("reason")]
public string Reason { get; set; } = string.Empty;
[JsonIgnore]
public string EmailId { get; set; } = string.Empty;
}
/// <summary>
/// Represents an email.
/// </summary>
internal sealed class Email
{
[JsonPropertyName("email_id")]
public string EmailId { get; set; } = string.Empty;
[JsonPropertyName("email_content")]
public string EmailContent { get; set; } = string.Empty;
}
/// <summary>
/// Executor that detects spam using an AI agent.
/// </summary>
internal sealed class SpamDetectionExecutor : Executor<ChatMessage, DetectionResult>
{
private readonly AIAgent _spamDetectionAgent;
/// <summary>
/// Creates a new instance of the <see cref="SpamDetectionExecutor"/> class.
/// </summary>
/// <param name="spamDetectionAgent">The AI agent used for spam detection</param>
public SpamDetectionExecutor(AIAgent spamDetectionAgent) : base("SpamDetectionExecutor")
{
this._spamDetectionAgent = spamDetectionAgent;
}
public override async ValueTask<DetectionResult> HandleAsync(ChatMessage message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Generate a random email ID and store the email content
var newEmail = new Email
{
EmailId = Guid.NewGuid().ToString("N"),
EmailContent = message.Text
};
await context.QueueStateUpdateAsync(newEmail.EmailId, newEmail, scopeName: EmailStateConstants.EmailStateScope, cancellationToken);
// Invoke the agent
var response = await this._spamDetectionAgent.RunAsync(message, cancellationToken: cancellationToken);
var detectionResult = JsonSerializer.Deserialize<DetectionResult>(response.Text);
detectionResult!.EmailId = newEmail.EmailId;
return detectionResult;
}
}
/// <summary>
/// Represents the response from the email assistant.
/// </summary>
public sealed class EmailResponse
{
[JsonPropertyName("response")]
public string Response { get; set; } = string.Empty;
}
/// <summary>
/// Executor that assists with email responses using an AI agent.
/// </summary>
internal sealed class EmailAssistantExecutor : Executor<DetectionResult, EmailResponse>
{
private readonly AIAgent _emailAssistantAgent;
/// <summary>
/// Creates a new instance of the <see cref="EmailAssistantExecutor"/> class.
/// </summary>
/// <param name="emailAssistantAgent">The AI agent used for email assistance</param>
public EmailAssistantExecutor(AIAgent emailAssistantAgent) : base("EmailAssistantExecutor")
{
this._emailAssistantAgent = emailAssistantAgent;
}
public override async ValueTask<EmailResponse> HandleAsync(DetectionResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
if (message.spamDecision == SpamDecision.Spam)
{
throw new InvalidOperationException("This executor should only handle non-spam messages.");
}
// Retrieve the email content from the context
var email = await context.ReadStateAsync<Email>(message.EmailId, scopeName: EmailStateConstants.EmailStateScope, cancellationToken);
// Invoke the agent
var response = await this._emailAssistantAgent.RunAsync(email!.EmailContent, cancellationToken: cancellationToken);
var emailResponse = JsonSerializer.Deserialize<EmailResponse>(response.Text);
return emailResponse!;
}
}
/// <summary>
/// Executor that sends emails.
/// </summary>
internal sealed class SendEmailExecutor() : Executor<EmailResponse>("SendEmailExecutor")
{
/// <summary>
/// Simulate the sending of an email.
/// </summary>
public override async ValueTask HandleAsync(EmailResponse message, IWorkflowContext context, CancellationToken cancellationToken = default) =>
await context.YieldOutputAsync($"Email sent: {message.Response}", cancellationToken);
}
/// <summary>
/// Executor that handles spam messages.
/// </summary>
internal sealed class HandleSpamExecutor() : Executor<DetectionResult>("HandleSpamExecutor")
{
/// <summary>
/// Simulate the handling of a spam message.
/// </summary>
public override async ValueTask HandleAsync(DetectionResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
if (message.spamDecision == SpamDecision.Spam)
{
await context.YieldOutputAsync($"Email marked as spam: {message.Reason}", cancellationToken);
}
else
{
throw new InvalidOperationException("This executor should only handle spam messages.");
}
}
}
/// <summary>
/// Executor that handles uncertain emails.
/// </summary>
internal sealed class HandleUncertainExecutor() : Executor<DetectionResult>("HandleUncertainExecutor")
{
/// <summary>
/// Simulate the handling of an uncertain spam decision.
/// </summary>
public override async ValueTask HandleAsync(DetectionResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
if (message.spamDecision == SpamDecision.Uncertain)
{
var email = await context.ReadStateAsync<Email>(message.EmailId, scopeName: EmailStateConstants.EmailStateScope, cancellationToken);
await context.YieldOutputAsync($"Email marked as uncertain: {message.Reason}. Email content: {email?.EmailContent}", cancellationToken);
}
else
{
throw new InvalidOperationException("This executor should only handle uncertain spam decisions.");
}
}
}