크리스마스를 저장하는 Microsoft의 에이전트 프레임워크

dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
dotnet add package Microsoft.Agents.AI.Workflows --prerelease
dotnet add package Azure.AI.OpenAI
dotnet add package Azure.Identity
dotnet add package Azure.AI.Agents.Persistent --prerelease

public class GiftRecipient
{
    public string Name { get; set; } = string.Empty;
    public int Age { get; set; }
    public List<string> Interests { get; set; } = [];
    public decimal Budget { get; set; }
}

public class GiftIdea
{
    public string Name { get; set; } = string.Empty;
    public string Description { get; set; } = string.Empty;
    public string Category { get; set; } = string.Empty;
    public decimal EstimatedPrice { get; set; }
}

public class PriceResult
{
    public string GiftName { get; set; } = string.Empty;
    public string Store { get; set; } = string.Empty;
    public decimal Price { get; set; }
    public string Url { get; set; } = string.Empty;
}

public class GiftRecommendation
{
    public GiftIdea Gift { get; set; } = new();
    public List<PriceResult> Prices { get; set; } = [];
    public PriceResult? BestDeal { get; set; }
}

using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;

public static class ChristmasAgentFactory
{
    public static AIAgent CreateGiftIdeaAgent(IChatClient chatClient)
    {
        return new ChatClientAgent(
            chatClient,
            @"You are a creative Christmas gift advisor. When given information about a person 
            (age, interests, budget), you suggest thoughtful and personalized gift ideas.
            
            For each suggestion, provide:
            - Gift name
            - Brief description of why it's a good fit
            - Category (Electronics, Books, Fashion, Home, Experience, etc.)
            - Estimated price range
            
            Always suggest 3-5 gift options within the specified budget.
            Format your response as a structured list.");
    }

    public static AIAgent CreatePriceComparisonAgent(IChatClient chatClient)
    {
        return new ChatClientAgent(
            chatClient,
            @"You are a price comparison specialist. Given a list of gift ideas, 
            you research and compare prices from different online retailers.
            
            For each gift, provide:
            - Store name (Amazon, Best Buy, Target, Walmart, etc.)
            - Current price
            - Any available discounts or deals
            
            Always highlight the best deal for each item.
            Consider shipping costs and delivery times for Christmas.");
    }

    public static AIAgent CreateSummaryAgent(IChatClient chatClient)
    {
        return new ChatClientAgent(
            chatClient,
            @"You are a gift recommendation summarizer. Take the gift ideas and price 
            comparisons and create a final recommendation report.
            
            Your summary should:
            - Rank gifts by value (quality vs price)
            - Highlight the top pick with reasoning
            - Include total cost estimate
            - Add any tips for holiday shopping
            
            Make the summary cheerful and festive!");
    }
}

public static class ChristmasGiftWorkflow
{
    public static async Task RunAsync()
    {
        // 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 DefaultAzureCredential())
            .GetChatClient(deploymentName)
            .AsIChatClient();

        // Create our specialized agents
        AIAgent giftIdeaAgent = ChristmasAgentFactory.CreateGiftIdeaAgent(chatClient);
        AIAgent priceAgent = ChristmasAgentFactory.CreatePriceComparisonAgent(chatClient);
        AIAgent summaryAgent = ChristmasAgentFactory.CreateSummaryAgent(chatClient);

        // Build a sequential workflow: Ideas -> Prices -> Summary
        var workflow = AgentWorkflowBuilder.BuildSequential(
            "ChristmasGiftFinder",
            [giftIdeaAgent, priceAgent, summaryAgent]);

        // Define our gift recipient
        var recipient = new GiftRecipient
        {
            Name = "Mom",
            Age = 55,
            Interests = ["gardening", "cooking", "reading", "yoga"],
            Budget = 100
        };

        var prompt = $@"Find Christmas gifts for {recipient.Name}, 
            age {recipient.Age}, who enjoys {string.Join(", ", recipient.Interests)}. 
            Budget: ${recipient.Budget}";

        // Execute the workflow with streaming
        await using StreamingRun run = await InProcessExecution.StreamAsync(
            workflow, 
            new ChatMessage(ChatRole.User, prompt));

        // Send the turn token to start processing
        await run.TrySendMessageAsync(new TurnToken(emitEvents: true));

        // Watch for workflow events
        await foreach (WorkflowEvent evt in run.WatchStreamAsync())
        {
            if (evt is AgentRunUpdateEvent agentUpdate)
            {
                Console.Write(agentUpdate.Data);
            }
            else if (evt is WorkflowOutputEvent outputEvent)
            {
                Console.WriteLine("\n🎄 Final Recommendations:");
                Console.WriteLine(outputEvent.Data);
            }
        }
    }
}

public static async Task FindGiftsForEveryoneAsync(IChatClient chatClient, List<GiftRecipient> recipients)
{
    // Create an agent for each recipient
    var agents = recipients.Select(r => new ChatClientAgent(
        chatClient,
        $@"Find the perfect Christmas gift for {r.Name} (age {r.Age}), 
           who loves {string.Join(", ", r.Interests)}. Budget: ${r.Budget}.
           Provide one well-researched recommendation with price."
    )).ToList();

    // Build a concurrent workflow - all agents run in parallel
    var workflow = AgentWorkflowBuilder.BuildConcurrent(
        "FamilyGiftFinder",
        agents);

    await using StreamingRun run = await InProcessExecution.StreamAsync(
        workflow, 
        new ChatMessage(ChatRole.User, "Find gifts now!"));

    await run.TrySendMessageAsync(new TurnToken(emitEvents: true));

    await foreach (WorkflowEvent evt in run.WatchStreamAsync())
    {
        if (evt is WorkflowOutputEvent output)
        {
            Console.WriteLine("🎁 All gift recommendations ready!");
            Console.WriteLine(output.Data);
        }
    }
}

public sealed class GiftValidatorExecutor : Executor<List<ChatMessage>, List<ChatMessage>>
{
    public GiftValidatorExecutor() : base("GiftValidator") { }

    public override async ValueTask<List<ChatMessage>> HandleAsync(
        List<ChatMessage> messages,
        IWorkflowContext context,
        CancellationToken cancellationToken = default)
    {
        var lastMessage = messages.LastOrDefault()?.Text ?? "";
        
        // Validate that suggestions are within budget
        if (lastMessage.Contains("over budget", StringComparison.OrdinalIgnoreCase))
        {
            Console.WriteLine("⚠️ Some suggestions exceeded budget, filtering...");
            // Add validation logic here
        }

        Console.WriteLine("✅ Gift suggestions validated!");
        return messages;
    }
}

var validator = new GiftValidatorExecutor();

var workflow = new WorkflowBuilder(giftIdeaAgent)
    .AddEdge(giftIdeaAgent, validator)
    .AddEdge(validator, priceAgent)
    .AddEdge(priceAgent, summaryAgent)
    .WithOutputFrom(summaryAgent)
    .Build();

using Azure.AI.Agents.Persistent;
using Azure.Identity;

public static class BingGroundingSetup
{
    public static async Task<PersistentAgent> CreateAgentWithBingGroundingAsync(
        string projectEndpoint,
        string modelDeploymentName,
        string bingConnectionId)
    {
        // Create the Persistent Agents client
        var agentClient = new PersistentAgentsClient(projectEndpoint, new DefaultAzureCredential());

        // Configure the Bing Grounding tool
        var bingGroundingTool = new BingGroundingToolDefinition(
            new BingGroundingSearchToolParameters(
                [new BingGroundingSearchConfiguration(bingConnectionId)]
            )
        );

        // Create the agent with Bing Grounding enabled
        var agent = await agentClient.Administration.CreateAgentAsync(
            model: modelDeploymentName,
            name: "ChristmasPriceHunter",
            instructions: @"You are a Christmas gift price comparison specialist.
                
                When given gift ideas, use Bing to search for:
                - Current prices at major retailers (Amazon, Best Buy, Target, Walmart)
                - Available discounts and holiday deals
                - Shipping times to ensure delivery before Christmas
                
                Always provide URLs to the products you find.
                Highlight the best deals and recommend where to buy.",
            tools: [bingGroundingTool]
        );

        return agent;
    }
}

using Azure.AI.Agents.Persistent;
using Azure.Identity;

public class ChristmasPriceAgent
{
    private readonly PersistentAgentsClient _client;
    private readonly string _modelDeployment;
    private readonly string _bingConnectionId;

    public ChristmasPriceAgent(string projectEndpoint, string modelDeployment, string bingConnectionId)
    {
        _client = new PersistentAgentsClient(projectEndpoint, new DefaultAzureCredential());
        _modelDeployment = modelDeployment;
        _bingConnectionId = bingConnectionId;
    }

    public async Task<string> FindGiftPricesAsync(string giftIdeas)
    {
        // Create agent with Bing Grounding
        var bingTool = new BingGroundingToolDefinition(
            new BingGroundingSearchToolParameters(
                [new BingGroundingSearchConfiguration(_bingConnectionId)]
            )
        );

        var agent = await _client.Administration.CreateAgentAsync(
            model: _modelDeployment,
            name: "PriceHunter",
            instructions: @"Search the web for current prices on the given gift ideas. 
                For each gift, find prices from at least 2-3 different stores.
                Include direct links to the products.
                Note any Christmas sales or discounts available.",
            tools: [bingTool]
        );

        try
        {
            // Create a thread for the conversation
            var thread = await _client.Threads.CreateThreadAsync();

            // Add the gift ideas as a message
            await _client.Messages.CreateMessageAsync(
                thread.Id,
                MessageRole.User,
                $"Find current prices for these gift ideas: {giftIdeas}"
            );

            // Run the agent
            var run = await _client.Runs.CreateRunAsync(thread.Id, agent.Id);

            // Wait for completion
            do
            {
                await Task.Delay(500);
                run = await _client.Runs.GetRunAsync(thread.Id, run.Id);
            }
            while (run.Status == RunStatus.Queued || run.Status == RunStatus.InProgress);

            // Get the response
            var messages = _client.Messages.GetMessages(thread.Id);
            var response = messages
                .Where(m => m.Role == MessageRole.Agent)
                .SelectMany(m => m.ContentItems)
                .OfType<MessageTextContent>()
                .FirstOrDefault();

            // Clean up
            await _client.Threads.DeleteThreadAsync(thread.Id);

            return response?.Text ?? "No results found.";
        }
        finally
        {
            // Clean up the agent
            await _client.Administration.DeleteAgentAsync(agent.Id);
        }
    }
}

public static async Task RunWithBingGroundingAsync()
{
    var projectEndpoint = Environment.GetEnvironmentVariable("PROJECT_ENDPOINT")!;
    var modelDeployment = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o";
    var bingConnectionId = Environment.GetEnvironmentVariable("BING_CONNECTION_ID")!;
    // Connection ID format: /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}/connections/{connection}

    Console.WriteLine("🔍 Searching the web for real prices with Bing Grounding...\n");

    var priceAgent = new ChristmasPriceAgent(projectEndpoint, modelDeployment, bingConnectionId);

    // First, generate gift ideas (could come from another agent)
    var giftIdeas = "1. Milwaukee cordless drill set, 2. Weber portable grill, 3. Carhartt beanie";

    // Search for real prices
    var priceResults = await priceAgent.FindGiftPricesAsync(giftIdeas);

    Console.WriteLine("📊 Price Comparison Results:");
    Console.WriteLine(priceResults);
    Console.WriteLine("\n🎁 Happy Shopping! 🎁");
}

public static void ProcessBingGroundingResponse(IEnumerable<PersistentThreadMessage> messages)
{
    foreach (var message in messages.Where(m => m.Role == MessageRole.Agent))
    {
        foreach (var content in message.ContentItems)
        {
            if (content is MessageTextContent textContent)
            {
                var response = textContent.Text;

                // Process URL citations
                if (textContent.Annotations != null)
                {
                    foreach (var annotation in textContent.Annotations)
                    {
                        if (annotation is MessageTextUriCitationAnnotation uriAnnotation)
                        {
                            // Replace citation placeholder with markdown link
                            response = response.Replace(
                                uriAnnotation.Text,
                                $" [{uriAnnotation.UriCitation.Title}]({uriAnnotation.UriCitation.Uri})"
                            );
                        }
                    }
                }

                Console.WriteLine(response);
            }
        }
    }
}

using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;

Console.WriteLine("🎄 Christmas Gift Finder - Powered by AI Agents 🎄\n");

var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!;
var deployment = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";

var chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
    .GetChatClient(deployment)
    .AsIChatClient();

// Create the agent team
var ideaAgent = ChristmasAgentFactory.CreateGiftIdeaAgent(chatClient);
var priceAgent = ChristmasAgentFactory.CreatePriceComparisonAgent(chatClient);
var summaryAgent = ChristmasAgentFactory.CreateSummaryAgent(chatClient);

// Build the workflow
var workflow = AgentWorkflowBuilder.BuildSequential(
    "ChristmasGiftWorkflow",
    [ideaAgent, priceAgent, summaryAgent]);

Console.Write("Who are you shopping for? ");
var recipientName = Console.ReadLine() ?? "Someone special";

Console.Write("What are their interests? ");
var interests = Console.ReadLine() ?? "general";

Console.Write("What's your budget? $");
var budget = Console.ReadLine() ?? "50";

var prompt = $"Find Christmas gifts for {recipientName} who enjoys {interests}. Budget: ${budget}";

Console.WriteLine("\n🔍 Searching for the perfect gifts...\n");

await using var run = await InProcessExecution.StreamAsync(
    workflow,
    new ChatMessage(ChatRole.User, prompt));

await run.TrySendMessageAsync(new TurnToken(emitEvents: true));

await foreach (var evt in run.WatchStreamAsync())
{
    switch (evt)
    {
        case AgentRunUpdateEvent update:
            Console.Write(update.Update.Text);
            break;
        case WorkflowOutputEvent output:
            Console.WriteLine("\n\n🎁 Happy Shopping! 🎁");
            break;
    }
}