// 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 WorkflowEdgeConditionSample;
///
/// This sample introduces conditional routing using edge conditions to create decision-based workflows.
///
/// This workflow creates an automated email response system that routes emails down different paths based
/// on spam detection results:
///
/// 1. Spam Detection Agent analyzes incoming emails and classifies them as spam or legitimate
/// 2. Based on the classification:
/// - Legitimate emails → Email Assistant Agent → Send Email Executor
/// - Spam emails → Handle Spam Executor (marks as spam)
///
/// Edge conditions enable workflows to make intelligent routing decisions, allowing you to
/// build sophisticated automation that responds differently based on the data being processed.
///
///
/// 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.
///
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-5.4-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();
// Build the workflow by adding executors and connecting them
var workflow = new WorkflowBuilder(spamDetectionExecutor)
.AddEdge(spamDetectionExecutor, emailAssistantExecutor, condition: GetCondition(expectedResult: false))
.AddEdge(emailAssistantExecutor, sendEmailExecutor)
.AddEdge(spamDetectionExecutor, handleSpamExecutor, condition: GetCondition(expectedResult: true))
.WithOutputFrom(handleSpamExecutor, sendEmailExecutor)
.Build();
// Read a email from a text file
string email = Resources.Read("spam.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($"{outputEvent}");
}
else if (evt is WorkflowErrorEvent workflowError)
{
Console.ForegroundColor = ConsoleColor.Red;
Console.Error.WriteLine(workflowError.Exception?.ToString() ?? "Unknown workflow error occurred.");
Console.ResetColor();
}
else if (evt is ExecutorFailedEvent executorFailed)
{
Console.ForegroundColor = ConsoleColor.Red;
Console.Error.WriteLine($"Executor '{executorFailed.ExecutorId}' failed with {(executorFailed.Data == null ? "unknown error" : $"exception {executorFailed.Data}")}.");
Console.ResetColor();
}
}
}
///
/// Creates a condition for routing messages based on the expected spam detection result.
///
/// The expected spam detection result
/// A function that evaluates whether a message meets the expected result
private static Func