ai-agents-for-beginners

🔍 āļŠāļģāļĢāļ§āļˆ Microsoft Agent Framework - Basic Agent (.NET)

📋 āļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāļāļēāļĢāđ€āļĢāļĩāļĒāļ™āļĢāļđāđ‰

āļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āļ™āļĩāđ‰āļˆāļ°āļŠāđˆāļ§āļĒāđƒāļŦāđ‰āļ„āļļāļ“āđ€āļ‚āđ‰āļēāđƒāļˆāđāļ™āļ§āļ„āļīāļ”āļžāļ·āđ‰āļ™āļāļēāļ™āļ‚āļ­āļ‡ Microsoft Agent Framework āļœāđˆāļēāļ™āļāļēāļĢāļŠāļĢāđ‰āļēāļ‡āļ•āļąāļ§āđāļ—āļ™ (Agent) āđāļšāļšāļ‡āđˆāļēāļĒāđƒāļ™ .NET āļ„āļļāļ“āļˆāļ°āđ„āļ”āđ‰āđ€āļĢāļĩāļĒāļ™āļĢāļđāđ‰āļĢāļđāļ›āđāļšāļšāļāļēāļĢāļ—āļģāļ‡āļēāļ™āļ‚āļ­āļ‡āļ•āļąāļ§āđāļ—āļ™āđāļĨāļ°āđ€āļ‚āđ‰āļēāđƒāļˆāļ§āļīāļ˜āļĩāļāļēāļĢāļ—āļģāļ‡āļēāļ™āļ‚āļ­āļ‡āļ•āļąāļ§āđāļ—āļ™āļ­āļąāļˆāļ‰āļĢāļīāļĒāļ°āđƒāļ™āđ€āļšāļ·āđ‰āļ­āļ‡āļŦāļĨāļąāļ‡āđ‚āļ”āļĒāđƒāļŠāđ‰ C# āđāļĨāļ°āļĢāļ°āļšāļšāļ™āļīāđ€āļ§āļĻ .NET

āļŠāļīāđˆāļ‡āļ—āļĩāđˆāļ„āļļāļ“āļˆāļ°āđ„āļ”āđ‰āđ€āļĢāļĩāļĒāļ™āļĢāļđāđ‰

ðŸŽŊ āđāļ™āļ§āļ„āļīāļ”āļŠāļģāļ„āļąāļāļ—āļĩāđˆāļ„āļĢāļ­āļšāļ„āļĨāļļāļĄ

āļŦāļĨāļąāļāļāļēāļĢāļ‚āļ­āļ‡ Agentic Framework

āļŠāđˆāļ§āļ™āļ›āļĢāļ°āļāļ­āļšāļ—āļēāļ‡āđ€āļ—āļ„āļ™āļīāļ„

🔧 āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļ—āļĩāđˆāđƒāļŠāđ‰

āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļŦāļĨāļąāļ

āļ„āļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļ–āļ‚āļ­āļ‡āļ•āļąāļ§āđāļ—āļ™

📚 āļāļēāļĢāđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļš Framework

āļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āļ™āļĩāđ‰āđāļŠāļ”āļ‡āđƒāļŦāđ‰āđ€āļŦāđ‡āļ™āļ–āļķāļ‡āļ§āļīāļ˜āļĩāļāļēāļĢāļ‚āļ­āļ‡ Microsoft Agent Framework āđ€āļĄāļ·āđˆāļ­āđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļāļąāļš Framework āļ•āļąāļ§āđāļ—āļ™āļ­āļ·āđˆāļ™ āđ†:

āļ„āļļāļ“āļŠāļĄāļšāļąāļ•āļī Microsoft Agent Framework Framework āļ­āļ·āđˆāļ™ āđ†
āļāļēāļĢāļĢāļ§āļĄāļĢāļ°āļšāļš āļĢāļ°āļšāļšāļ™āļīāđ€āļ§āļĻāļ‚āļ­āļ‡ Microsoft āđ‚āļ”āļĒāļ•āļĢāļ‡ āļ„āļ§āļēāļĄāđ€āļ‚āđ‰āļēāļāļąāļ™āđ„āļ”āđ‰āļŦāļĨāļēāļāļŦāļĨāļēāļĒ
āļ„āļ§āļēāļĄāđ€āļĢāļĩāļĒāļšāļ‡āđˆāļēāļĒ API āļ—āļĩāđˆāļŠāļ°āļ­āļēāļ”āđāļĨāļ°āđ€āļ‚āđ‰āļēāđƒāļˆāļ‡āđˆāļēāļĒ āļāļēāļĢāļ•āļąāđ‰āļ‡āļ„āđˆāļēāļ—āļĩāđˆāļ‹āļąāļšāļ‹āđ‰āļ­āļ™āļšāđˆāļ­āļĒāļ„āļĢāļąāđ‰āļ‡
āļāļēāļĢāļ‚āļĒāļēāļĒāļ•āļąāļ§ āļāļēāļĢāļĢāļ§āļĄāđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļĄāļ·āļ­āļ—āļĩāđˆāļ‡āđˆāļēāļĒ āļ‚āļķāđ‰āļ™āļ­āļĒāļđāđˆāļāļąāļš Framework
āļžāļĢāđ‰āļ­āļĄāļŠāļģāļŦāļĢāļąāļšāļ­āļ‡āļ„āđŒāļāļĢ āļŠāļĢāđ‰āļēāļ‡āđ€āļžāļ·āđˆāļ­āļāļēāļĢāđƒāļŠāđ‰āļ‡āļēāļ™āļˆāļĢāļīāļ‡ āđāļ•āļāļ•āđˆāļēāļ‡āļāļąāļ™āļ•āļēāļĄ Framework

🚀 āđ€āļĢāļīāđˆāļĄāļ•āđ‰āļ™āđƒāļŠāđ‰āļ‡āļēāļ™

āļŠāļīāđˆāļ‡āļ—āļĩāđˆāļ•āđ‰āļ­āļ‡āđ€āļ•āļĢāļĩāļĒāļĄ

āļ•āļąāļ§āđāļ›āļĢāļŠāļīāđˆāļ‡āđāļ§āļ”āļĨāđ‰āļ­āļĄāļ—āļĩāđˆāļˆāļģāđ€āļ›āđ‡āļ™

# zsh/bash
export GH_TOKEN=<your_github_token>
export GH_ENDPOINT=https://models.github.ai/inference
export GH_MODEL_ID=openai/gpt-5-mini
# PowerShell
$env:GH_TOKEN = "<your_github_token>"
$env:GH_ENDPOINT = "https://models.github.ai/inference"
$env:GH_MODEL_ID = "openai/gpt-5-mini"

āļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āđ‚āļ„āđ‰āļ”

āđ€āļžāļ·āđˆāļ­āļĢāļąāļ™āļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āđ‚āļ„āđ‰āļ”,

# zsh/bash
chmod +x ./02-dotnet-agent-framework.cs
./02-dotnet-agent-framework.cs

āļŦāļĢāļ·āļ­āđƒāļŠāđ‰ dotnet CLI:

dotnet run ./02-dotnet-agent-framework.cs

āļ”āļđ 02-dotnet-agent-framework.cs āļŠāļģāļŦāļĢāļąāļšāđ‚āļ„āđ‰āļ”āļ—āļąāđ‰āļ‡āļŦāļĄāļ”

#!/usr/bin/dotnet run

#:package Microsoft.Extensions.AI@10.*
#:package Microsoft.Agents.AI.OpenAI@1.*-*

using System.ClientModel;
using System.ComponentModel;

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

using OpenAI;

// 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];
}

// Extract configuration from environment variables
// Retrieve the GitHub Models API endpoint, defaults to https://models.github.ai/inference if not specified
// Retrieve the model ID, defaults to openai/gpt-5-mini if not specified
// Retrieve the GitHub token for authentication, throws exception if not specified
var github_endpoint = Environment.GetEnvironmentVariable("GH_ENDPOINT") ?? "https://models.github.ai/inference";
var github_model_id = Environment.GetEnvironmentVariable("GH_MODEL_ID") ?? "openai/gpt-5-mini";
var github_token = Environment.GetEnvironmentVariable("GH_TOKEN") ?? throw new InvalidOperationException("GH_TOKEN is not set.");

// Configure OpenAI Client Options
// Create configuration options to point to GitHub Models endpoint
// This redirects OpenAI client calls to GitHub's model inference service
var openAIOptions = new OpenAIClientOptions()
{
    Endpoint = new Uri(github_endpoint)
};

// Initialize OpenAI Client with GitHub Models Configuration
// Create OpenAI client using GitHub token for authentication
// Configure it to use GitHub Models endpoint instead of OpenAI directly
var openAIClient = new OpenAIClient(new ApiKeyCredential(github_token), openAIOptions);

// 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
// Initialize complete agent pipeline: OpenAI client → Chat client → AI agent
// Configure agent with name, detailed instructions, and available tools
// This demonstrates the .NET agent creation pattern with full configuration
AIAgent agent = openAIClient
    .GetChatClient(github_model_id)
    .CreateAIAgent(
        name: AGENT_NAME,
        instructions: AGENT_INSTRUCTIONS,
        tools: [AIFunctionFactory.Create(GetRandomDestination)]
    );

// Create New Conversation Thread for Context Management
// Initialize a new conversation thread to maintain context across multiple interactions
// Threads enable the agent to remember previous exchanges and maintain conversational state
// This is essential for multi-turn conversations and contextual understanding
AgentThread thread = agent.GetNewThread();

// 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 thread parameter maintains conversation context for subsequent interactions
await foreach (var update in agent.RunStreamingAsync("Plan me a day trip", thread))
{
    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 threads and contextual understanding in .NET agents
await foreach (var update in agent.RunStreamingAsync("I don't like that destination. Plan me another vacation.", thread))
{
    await Task.Delay(10);
    Console.Write(update);
}

🎓 āļŠāļīāđˆāļ‡āļ—āļĩāđˆāļ„āļ§āļĢāļˆāļ”āļˆāļģ

  1. āļŠāļ–āļēāļ›āļąāļ•āļĒāļāļĢāļĢāļĄāļ•āļąāļ§āđāļ—āļ™: Microsoft Agent Framework āđƒāļŦāđ‰āļ§āļīāļ˜āļĩāļāļēāļĢāļ—āļĩāđˆāļŠāļ°āļ­āļēāļ”āđāļĨāļ°āļ›āļĨāļ­āļ”āļ āļąāļĒāđƒāļ™āļāļēāļĢāļŠāļĢāđ‰āļēāļ‡āļ•āļąāļ§āđāļ—āļ™ AI āđƒāļ™ .NET
  2. āļāļēāļĢāļĢāļ§āļĄāđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļĄāļ·āļ­: āļŸāļąāļ‡āļāđŒāļŠāļąāļ™āļ—āļĩāđˆāļ•āļāđāļ•āđˆāļ‡āļ”āđ‰āļ§āļĒāđāļ­āļ•āļ—āļĢāļīāļšāļīāļ§āļ•āđŒ [Description] āļˆāļ°āļāļĨāļēāļĒāđ€āļ›āđ‡āļ™āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļĄāļ·āļ­āļ—āļĩāđˆāļ•āļąāļ§āđāļ—āļ™āļŠāļēāļĄāļēāļĢāļ–āđƒāļŠāđ‰āđ„āļ”āđ‰
  3. āļšāļĢāļīāļšāļ—āļāļēāļĢāļŠāļ™āļ—āļ™āļē: āļāļēāļĢāļˆāļąāļ”āļāļēāļĢāđ€āļ˜āļĢāļ”āļŠāđˆāļ§āļĒāđƒāļŦāđ‰āļāļēāļĢāļŠāļ™āļ—āļ™āļēāđāļšāļšāļŦāļĨāļēāļĒāļĢāļ­āļšāļĄāļĩāļāļēāļĢāļĢāļąāļšāļĢāļđāđ‰āļšāļĢāļīāļšāļ—āļ­āļĒāđˆāļēāļ‡āđ€āļ•āđ‡āļĄāļ—āļĩāđˆ
  4. āļāļēāļĢāļˆāļąāļ”āļāļēāļĢāļāļēāļĢāļ•āļąāđ‰āļ‡āļ„āđˆāļē: āļ•āļąāļ§āđāļ›āļĢāļŠāļīāđˆāļ‡āđāļ§āļ”āļĨāđ‰āļ­āļĄāđāļĨāļ°āļāļēāļĢāļˆāļąāļ”āļāļēāļĢāļ‚āđ‰āļ­āļĄāļđāļĨāļĢāļąāļšāļĢāļ­āļ‡āļ—āļĩāđˆāļ›āļĨāļ­āļ”āļ āļąāļĒāļ•āļēāļĄāđāļ™āļ§āļ—āļēāļ‡āļ›āļāļīāļšāļąāļ•āļīāļ—āļĩāđˆāļ”āļĩāļ—āļĩāđˆāļŠāļļāļ”āļ‚āļ­āļ‡ .NET
  5. āļ„āļ§āļēāļĄāđ€āļ‚āđ‰āļēāļāļąāļ™āđ„āļ”āđ‰āļāļąāļš OpenAI: āļāļēāļĢāļĢāļ§āļĄ GitHub Models āļ—āļģāļ‡āļēāļ™āđ„āļ”āđ‰āļ­āļĒāđˆāļēāļ‡āļĢāļēāļšāļĢāļ·āđˆāļ™āļœāđˆāļēāļ™ API āļ—āļĩāđˆāđ€āļ‚āđ‰āļēāļāļąāļ™āđ„āļ”āđ‰āļāļąāļš OpenAI

🔗 āđāļŦāļĨāđˆāļ‡āļ‚āđ‰āļ­āļĄāļđāļĨāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄ


āļ‚āđ‰āļ­āļˆāļģāļāļąāļ”āļ„āļ§āļēāļĄāļĢāļąāļšāļœāļīāļ”āļŠāļ­āļš:
āđ€āļ­āļāļŠāļēāļĢāļ™āļĩāđ‰āđ„āļ”āđ‰āļĢāļąāļšāļāļēāļĢāđāļ›āļĨāđ‚āļ”āļĒāđƒāļŠāđ‰āļšāļĢāļīāļāļēāļĢāđāļ›āļĨāļ āļēāļĐāļē AI Co-op Translator āđāļĄāđ‰āļ§āđˆāļēāđ€āļĢāļēāļˆāļ°āļžāļĒāļēāļĒāļēāļĄāđƒāļŦāđ‰āļāļēāļĢāđāļ›āļĨāļĄāļĩāļ„āļ§āļēāļĄāļ–āļđāļāļ•āđ‰āļ­āļ‡ āđāļ•āđˆāđ‚āļ›āļĢāļ”āļ—āļĢāļēāļšāļ§āđˆāļēāļāļēāļĢāđāļ›āļĨāđ‚āļ”āļĒāļ­āļąāļ•āđ‚āļ™āļĄāļąāļ•āļīāļ­āļēāļˆāļĄāļĩāļ‚āđ‰āļ­āļœāļīāļ”āļžāļĨāļēāļ”āļŦāļĢāļ·āļ­āļ„āļ§āļēāļĄāđ„āļĄāđˆāļ–āļđāļāļ•āđ‰āļ­āļ‡ āđ€āļ­āļāļŠāļēāļĢāļ•āđ‰āļ™āļ‰āļšāļąāļšāđƒāļ™āļ āļēāļĐāļēāļ”āļąāđ‰āļ‡āđ€āļ”āļīāļĄāļ„āļ§āļĢāļ–āļ·āļ­āđ€āļ›āđ‡āļ™āđāļŦāļĨāđˆāļ‡āļ‚āđ‰āļ­āļĄāļđāļĨāļ—āļĩāđˆāđ€āļŠāļ·āđˆāļ­āļ–āļ·āļ­āđ„āļ”āđ‰ āļŠāļģāļŦāļĢāļąāļšāļ‚āđ‰āļ­āļĄāļđāļĨāļ—āļĩāđˆāļŠāļģāļ„āļąāļ āļ‚āļ­āđāļ™āļ°āļ™āļģāđƒāļŦāđ‰āđƒāļŠāđ‰āļšāļĢāļīāļāļēāļĢāđāļ›āļĨāļ āļēāļĐāļēāļĄāļ·āļ­āļ­āļēāļŠāļĩāļž āđ€āļĢāļēāđ„āļĄāđˆāļĢāļąāļšāļœāļīāļ”āļŠāļ­āļšāļ•āđˆāļ­āļ„āļ§āļēāļĄāđ€āļ‚āđ‰āļēāđƒāļˆāļœāļīāļ”āļŦāļĢāļ·āļ­āļāļēāļĢāļ•āļĩāļ„āļ§āļēāļĄāļœāļīāļ”āļ—āļĩāđˆāđ€āļāļīāļ”āļˆāļēāļāļāļēāļĢāđƒāļŠāđ‰āļāļēāļĢāđāļ›āļĨāļ™āļĩāđ‰