ai-agents-for-beginners

🛠️ Advanced Tool Use with Azure OpenAI (Responses API) (.NET)

📋 Mga Layunin sa Pag-aaral

Ipinapakita ng notebook na ito ang mga pattern ng enterprise-grade tool integration gamit ang Microsoft Agent Framework sa .NET kasama ang Azure OpenAI (Responses API). Matututuhan mong bumuo ng mga sopistikadong ahente na may maraming espesyal na kasangkapan, gamit ang malakas na type ng C# at mga tampok sa enterprise ng .NET.

Mga Advanced na Kakayahan sa Tool na Iyong Mahahawakan

🎯 Mga Benepisyo ng .NET Tool Architecture

Mga Tampok ng Enterprise Tool

Mga Pattern na Handang-Gamitin sa Produksyon

🔧 Teknikal na Arkitektura

Mga Pangunahing Komponent ng .NET Tool

Pipeline ng Pagpapatupad ng Tool

graph LR
    A[Kahilingan ng Gumagamit] --> B[Pagsusuri ng Ahente]
    B --> C[Pagpili ng Kasangkapan]
    C --> D[Pagpapatunay ng Uri]
    B --> E[Pagbubuklod ng Parameter]
    E --> F[Pagsasagawa ng Kasangkapan]
    C --> F
    F --> G[Pagproseso ng Resulta]
    D --> G
    G --> H[Tugon]

🛠️ Mga Kategorya at Pattern ng Tool

1. Mga Tool sa Pagproseso ng Data

2. Mga Tool sa Integrasyon

3. Mga Utility Tool

Handa ka na bang bumuo ng mga enterprise-grade na ahente na may makapangyarihan at type-safe na mga kakayahan sa tool sa .NET? Gawin nating arkitektura ang mga propesyonal na solusyon! 🏢⚡

🚀 Pagsisimula

Mga Kinakailangan

Kinakailangang Mga Variable sa Kapaligiran

# zsh/bash
export AZURE_OPENAI_ENDPOINT=https://<your-resource>.openai.azure.com
export AZURE_OPENAI_DEPLOYMENT=gpt-5-mini
# Mag-sign in muna upang makakuha ng token ang AzureCliCredential
az login
# PowerShell
$env:AZURE_OPENAI_ENDPOINT = "https://<your-resource>.openai.azure.com"
$env:AZURE_OPENAI_DEPLOYMENT = "gpt-5-mini"
# Mag-sign in muna upang makakuha ng token ang AzureCliCredential
az login

Halimbawang Code

Upang patakbuhin ang halimbawa ng code,

# zsh/bash
chmod +x ./04-dotnet-agent-framework.cs
./04-dotnet-agent-framework.cs

O gamit ang dotnet CLI:

dotnet run ./04-dotnet-agent-framework.cs

Tingnan ang 04-dotnet-agent-framework.cs para sa kompletong code.

#!/usr/bin/dotnet run

#:package Microsoft.Extensions.AI@10.*
#:package Microsoft.Agents.AI.OpenAI@1.*-*
#:package Azure.AI.OpenAI@2.1.0
#:package Azure.Identity@1.13.1

using System.ComponentModel;

using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;

using Azure.AI.OpenAI;
using Azure.Identity;

// Tool Function: Random Destination Generator
// This static method will be available to the agent as a callable tool
// The [Description] attribute helps the AI understand when to use this function
// This demonstrates how to create custom tools for AI agents
[Description("Provides a random vacation destination.")]
static string GetRandomDestination()
{
    // List of popular vacation destinations around the world
    // The agent will randomly select from these options
    var destinations = new List<string>
    {
        "Paris, France",
        "Tokyo, Japan",
        "New York City, USA",
        "Sydney, Australia",
        "Rome, Italy",
        "Barcelona, Spain",
        "Cape Town, South Africa",
        "Rio de Janeiro, Brazil",
        "Bangkok, Thailand",
        "Vancouver, Canada"
    };

    // Generate random index and return selected destination
    // Uses System.Random for simple random selection
    var random = new Random();
    int index = random.Next(destinations.Count);
    return destinations[index];
}

// Azure OpenAI with the Responses API (stable v1 endpoint). Sign in with `az login`.
var azureEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deployment = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") ?? "gpt-5-mini";

var azureClient = new AzureOpenAIClient(new Uri(azureEndpoint), new AzureCliCredential());

// Define Agent Identity and Comprehensive Instructions
// Agent name for identification and logging purposes
var AGENT_NAME = "TravelAgent";

// Detailed instructions that define the agent's personality, capabilities, and behavior
// This system prompt shapes how the agent responds and interacts with users
var AGENT_INSTRUCTIONS = """
You are a helpful AI Agent that can help plan vacations for customers.

Important: When users specify a destination, always plan for that location. Only suggest random destinations when the user hasn't specified a preference.

When the conversation begins, introduce yourself with this message:
"Hello! I'm your TravelAgent assistant. I can help plan vacations and suggest interesting destinations for you. Here are some things you can ask me:
1. Plan a day trip to a specific location
2. Suggest a random vacation destination
3. Find destinations with specific features (beaches, mountains, historical sites, etc.)
4. Plan an alternative trip if you don't like my first suggestion

What kind of trip would you like me to help you plan today?"

Always prioritize user preferences. If they mention a specific destination like "Bali" or "Paris," focus your planning on that location rather than suggesting alternatives.
""";

// Create AI Agent with Advanced Travel Planning Capabilities
// Get the Responses client for the deployment and create the AI agent
// Configure agent with name, detailed instructions, and available tools
// This demonstrates the .NET agent creation pattern with full configuration
AIAgent agent = azureClient
    .GetChatClient(deployment)
    .AsAIAgent(
        name: AGENT_NAME,
        instructions: AGENT_INSTRUCTIONS,
        tools: [AIFunctionFactory.Create(GetRandomDestination)]
    );

// Create New Conversation Session for Context Management
// Initialize a new conversation session to maintain context across multiple interactions
// Sessions enable the agent to remember previous exchanges and maintain conversational state
// This is essential for multi-turn conversations and contextual understanding
await using var session = await agent.CreateSessionAsync();

// Execute Agent: First Travel Planning Request
// Run the agent with an initial request that will likely trigger the random destination tool
// The agent will analyze the request, use the GetRandomDestination tool, and create an itinerary
// Using the session parameter maintains conversation context for subsequent interactions
await foreach (var update in agent.RunStreamingAsync("Plan me a day trip", session))
{
    await Task.Delay(10);
    Console.Write(update);
}

Console.WriteLine();

// Execute Agent: Follow-up Request with Context Awareness
// Demonstrate contextual conversation by referencing the previous response
// The agent remembers the previous destination suggestion and will provide an alternative
// This showcases the power of conversation sessions and contextual understanding in .NET agents
await foreach (var update in agent.RunStreamingAsync("I don't like that destination. Plan me another vacation.", session))
{
    await Task.Delay(10);
    Console.Write(update);
}

Pagtatanggi: Ang dokumentong ito ay isinalin gamit ang serbisyo ng AI translation na Co-op Translator. Bagama’t nagsusumikap kami para sa katumpakan, pakatandaan na ang awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa orihinal nitong wika ang dapat ituring na pangunahing sanggunian. Para sa mahahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang maling pagkakaintindi o maling interpretasyon na nagmula sa paggamit ng pagsasaling ito.