рдпрд╣ рдиреЛрдЯрдмреБрдХ Microsoft Agent Framework рдХрд╛ рдЙрдкрдпреЛрдЧ рдХрд░рддреЗ рд╣реБрдП .NET рдореЗрдВ Azure OpenAI (Responses API) рдХреЗ рд╕рд╛рде рдПрдВрдЯрд░рдкреНрд░рд╛рдЗрдЬрд╝-рдЧреНрд░реЗрдб рдЯреВрд▓ рдЗрдВрдЯреАрдЧреНрд░реЗрд╢рди рдкреИрдЯрд░реНрди рдХреЛ рдкреНрд░рджрд░реНрд╢рд┐рдд рдХрд░рддрд╛ рд╣реИред рдЖрдк рдХрдИ рд╡рд┐рд╢рд┐рд╖реНрдЯ рдЯреВрд▓ рдХреЗ рд╕рд╛рде рдкрд░рд┐рд╖реНрдХреГрдд рдПрдЬреЗрдВрдЯ рдмрдирд╛рдиреЗ рд╕реАрдЦреЗрдВрдЧреЗ, C# рдХреА рдордЬрдмреВрдд рдЯрд╛рдЗрдкрд┐рдВрдЧ рдФрд░ .NET рдХреЗ рдПрдВрдЯрд░рдкреНрд░рд╛рдЗрдЬрд╝ рдлреАрдЪрд░реНрд╕ рдХрд╛ рд▓рд╛рдн рдЙрдард╛рддреЗ рд╣реБрдПред
graph LR
A[рдЙрдкрдпреЛрдЧрдХрд░реНрддрд╛ рдЕрдиреБрд░реЛрдз] --> B[рдПрдЬреЗрдВрдЯ рд╡рд┐рд╢реНрд▓реЗрд╖рдг]
B --> C[рдЙрдкрдХрд░рдг рдЪрдпрди]
C --> D[рдкреНрд░рдХрд╛рд░ рдорд╛рдиреНрдпрдХрд░рдг]
B --> E[рдкреИрд░рд╛рдореАрдЯрд░ рдмрд╛рдЗрдВрдбрд┐рдВрдЧ]
E --> F[рдЙрдкрдХрд░рдг рдирд┐рд╖реНрдкрд╛рджрди]
C --> F
F --> G[рдкрд░рд┐рдгрд╛рдо рдкреНрд░рд╕рдВрд╕реНрдХрд░рдг]
D --> G
G --> H[рдкреНрд░рддрд┐рдХреНрд░рд┐рдпрд╛]
рдХреНрдпрд╛ рдЖрдк .NET рдореЗрдВ рд╢рдХреНрддрд┐рд╢рд╛рд▓реА, рдЯрд╛рдЗрдк-рд╕реЗрдл рдЯреВрд▓ рдХреНрд╖рдорддрд╛рдУрдВ рдХреЗ рд╕рд╛рде рдПрдВрдЯрд░рдкреНрд░рд╛рдЗрдЬрд╝-рдЧреНрд░реЗрдб рдПрдЬреЗрдВрдЯ рдмрдирд╛рдиреЗ рдХреЗ рд▓рд┐рдП рддреИрдпрд╛рд░ рд╣реИрдВ? рдЪрд▓рд┐рдП рдХреБрдЫ рдкреЗрд╢реЗрд╡рд░-рдЧреНрд░реЗрдб рд╕рдорд╛рдзрд╛рди рдмрдирд╛рддреЗ рд╣реИрдВ! ЁЯПвтЪб
az login рдХреЗ рд╕рд╛рде рд╕рд╛рдЗрди рдЗрди рдХрд░реЗрдВ# zsh/bash
export AZURE_OPENAI_ENDPOINT=https://<your-resource>.openai.azure.com
export AZURE_OPENAI_DEPLOYMENT=gpt-5-mini
# рдлрд┐рд░ рд╕рд╛рдЗрди рдЗрди рдХрд░реЗрдВ рддрд╛рдХрд┐ AzureCliCredential рдЯреЛрдХрди рдкреНрд░рд╛рдкреНрдд рдХрд░ рд╕рдХреЗ
az login
# рдкреЙрд╡рд░рд╢реЗрд▓
$env:AZURE_OPENAI_ENDPOINT = "https://<your-resource>.openai.azure.com"
$env:AZURE_OPENAI_DEPLOYMENT = "gpt-5-mini"
# рдлрд┐рд░ рд╕рд╛рдЗрди рдЗрди рдХрд░реЗрдВ рддрд╛рдХрд┐ AzureCliCredential рдЯреЛрдХрди рдкреНрд░рд╛рдкреНрдд рдХрд░ рд╕рдХреЗ
az login
рдХреЛрдб рдЙрджрд╛рд╣рд░рдг рдЪрд▓рд╛рдиреЗ рдХреЗ рд▓рд┐рдП,
# рдЬрд╝рд╢/рдмреИрд╢
chmod +x ./04-dotnet-agent-framework.cs
./04-dotnet-agent-framework.cs
рдпрд╛ dotnet CLI рдХрд╛ рдЙрдкрдпреЛрдЧ рдХрд░рдХреЗ:
dotnet run ./04-dotnet-agent-framework.cs
рдкреВрд░реНрдг рдХреЛрдб рдХреЗ рд▓рд┐рдП 04-dotnet-agent-framework.cs рджреЗрдЦреЗрдВред
#!/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);
}
рдЕрд╕реНрд╡реАрдХрд░рдг: рдЗрд╕ рджрд╕реНрддрд╛рд╡реЗрдЬрд╝ рдХрд╛ рдЕрдиреБрд╡рд╛рдж AI рдЕрдиреБрд╡рд╛рдж рд╕реЗрд╡рд╛ Co-op Translator рдХрд╛ рдЙрдкрдпреЛрдЧ рдХрд░рдХреЗ рдХрд┐рдпрд╛ рдЧрдпрд╛ рд╣реИред рдЬрдмрдХрд┐ рд╣рдо рд╕рдЯреАрдХрддрд╛ рдХреЗ рд▓рд┐рдП рдкреНрд░рдпрд╛рд╕ рдХрд░рддреЗ рд╣реИрдВ, рдХреГрдкрдпрд╛ рдзреНрдпрд╛рди рджреЗрдВ рдХрд┐ рд╕реНрд╡рдЪрд╛рд▓рд┐рдд рдЕрдиреБрд╡рд╛рджреЛрдВ рдореЗрдВ рддреНрд░реБрдЯрд┐рдпрд╛рдБ рдпрд╛ рдЕрд╢реБрджреНрдзрд┐рдпрд╛рдБ рд╣реЛ рд╕рдХрддреА рд╣реИрдВред рдореВрд▓ рджрд╕реНрддрд╛рд╡реЗрдЬрд╝ рдЕрдкрдиреА рдореВрд▓ рднрд╛рд╖рд╛ рдореЗрдВ рд╣реА рдкреНрд░рд╛рдорд╛рдгрд┐рдХ рд╕реНрд░реЛрдд рдорд╛рдирд╛ рдЬрд╛рдирд╛ рдЪрд╛рд╣рд┐рдПред рдорд╣рддреНрд╡рдкреВрд░реНрдг рдЬрд╛рдирдХрд╛рд░реА рдХреЗ рд▓рд┐рдП, рдкреЗрд╢реЗрд╡рд░ рдорд╛рдирд╡ рдЕрдиреБрд╡рд╛рдж рдХреА рд╕рд┐рдлрд╛рд░рд┐рд╢ рдХреА рдЬрд╛рддреА рд╣реИред рдЗрд╕ рдЕрдиреБрд╡рд╛рдж рдХреЗ рдЙрдкрдпреЛрдЧ рд╕реЗ рдЙрддреНрдкрдиреНрди рдХрд┐рд╕реА рднреА рдЧрд▓рддрдлрд╣рдореА рдпрд╛ рдЧрд▓рдд рд╡реНрдпрд╛рдЦреНрдпрд╛ рдХреЗ рд▓рд┐рдП рд╣рдо рдЙрддреНрддрд░рджрд╛рдпреА рдирд╣реАрдВ рд╣реИрдВред