ΠΡΠΎΡ ΠΏΡΠΈΠΌΠ΅Ρ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΠ΅Ρ ΡΠ°Π±Π»ΠΎΠ½Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ Π°Π³Π΅Π½ΡΠΎΠ² Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Microsoft Agent Framework Π² .NET Ρ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠ΅ΠΉ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ GitHub. ΠΡ ΡΠ·Π½Π°Π΅ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Ρ ΠΈ Π°ΡΡ ΠΈΡΠ΅ΠΊΡΡΡΠ½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ Π΄Π΅Π»Π°ΡΡ Π°Π³Π΅Π½ΡΠΎΠ² Π³ΠΎΡΠΎΠ²ΡΠΌΠΈ ΠΊ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Ρ, ΡΠ΄ΠΎΠ±Π½ΡΠΌΠΈ Π΄Π»Ρ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΡΠ΅ΠΌΡΠΌΠΈ.
graph LR
A[IServiceCollection] --> B[Agent Builder]
B --> C[Configuration]
C --> D[Tool Registry]
D --> E[AI Agent]
ΠΠΎΡΠΎΠ²Ρ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ Π°Π³Π΅Π½ΡΠΎΠ² ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ Ρ .NET? ΠΠ°Π²Π°ΠΉΡΠ΅ ΡΠΏΡΠΎΠ΅ΠΊΡΠΈΡΡΠ΅ΠΌ ΡΡΠΎ-ΡΠΎ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΠ΅! π’β¨
# 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"
Π§ΡΠΎΠ±Ρ Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΏΡΠΈΠΌΠ΅Ρ ΠΊΠΎΠ΄Π°,
# zsh/bash
chmod +x ./03-dotnet-agent-framework.cs
./03-dotnet-agent-framework.cs
ΠΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ CLI dotnet:
dotnet run ./03-dotnet-agent-framework.cs
Π‘ΠΌΠΎΡΡΠΈΡΠ΅ 03-dotnet-agent-framework.cs Π΄Π»Ρ ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ΄Π°.
#!/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 β Chat client β 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);
}
ΠΡΠΊΠ°Π· ΠΎΡ ΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ:
ΠΡΠΎΡ Π΄ΠΎΠΊΡΠΌΠ΅Π½Ρ Π±ΡΠ» ΠΏΠ΅ΡΠ΅Π²Π΅Π΄Π΅Π½ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠ΅ΡΠ²ΠΈΡΠ° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄Π° Co-op Translator. Π₯ΠΎΡΡ ΠΌΡ ΡΡΡΠ΅ΠΌΠΈΠΌΡΡ ΠΊ ΡΠΎΡΠ½ΠΎΡΡΠΈ, ΠΏΠΎΠΆΠ°Π»ΡΠΉΡΡΠ°, ΡΡΠΈΡΡΠ²Π°ΠΉΡΠ΅, ΡΡΠΎ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄Ρ ΠΌΠΎΠ³ΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΡ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΈΠ»ΠΈ Π½Π΅ΡΠΎΡΠ½ΠΎΡΡΠΈ. ΠΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΡΠΉ Π΄ΠΎΠΊΡΠΌΠ΅Π½Ρ Π½Π° Π΅Π³ΠΎ ΡΠΎΠ΄Π½ΠΎΠΌ ΡΠ·ΡΠΊΠ΅ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΡΡΠΈΡΠ°ΡΡ Π°Π²ΡΠΎΡΠΈΡΠ΅ΡΠ½ΡΠΌ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠΌ. ΠΠ»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡΠ΅ΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠΎΠΌ. ΠΡ Π½Π΅ Π½Π΅ΡΠ΅ΠΌ ΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ Π·Π° Π»ΡΠ±ΡΠ΅ Π½Π΅Π΄ΠΎΡΠ°Π·ΡΠΌΠ΅Π½ΠΈΡ ΠΈΠ»ΠΈ Π½Π΅ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ, Π²ΠΎΠ·Π½ΠΈΠΊΡΠΈΠ΅ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΎΠ³ΠΎ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄Π°.