āĻāĻđ āĻāĻĶāĻūāĻđāĻ°āĻĢ Microsoft Agent Framework āĻĻāĐāĐ° .NET āĻĩāĻŋāĐąāĻ āĻ āĻāĻžāĻēāĻ° āĻāĻŠāĻĻāĻāĻāĻ (Responses API) āĻāĐ°āĻāĐāĻāĐāĻ°āĐāĻļāĻžāĻĻ āĻĻāĻūāĻē āĻĩāĻ°āĻĪ āĻāĐ āĻŽāĐāĐąāĻ§āĐāĻŪāĻūāĻĻ āĻāĻāĐ°āĻ āĻŽāĻĢāĻūāĻāĻĢ āĻēāĻ āĻāĻĶāĻŊāĐāĻ āĻŪāĻŋāĻāĻ°āĐ āĻĄāĻŋāĻāĻžāĻūāĻāĻĻ āĻŠāĐāĻāĻ°āĻĻāĻāĻž āĻĻāĐāĐ° āĻĶāĻ°āĻļāĻūāĻāĻāĻĶāĻū āĻđāĐāĨĪ āĻĪāĐāĻļāĐāĻ āĻāĻđ āĻŠāĐāĻļāĻžāĻūāĻĩāĻ° āĻŠāĐāĻāĻ°āĻĻ āĻ āĻĪāĐ āĻāĻ°āĻāĐāĻāĐāĻāĻāĻ°āĻē āĻĪāĻ°āĐāĻāĐ āĻļāĻŋāĐąāĻāĐāĻāĐ āĻāĐ āĻāĻāĐ°āĻāĻūāĻ āĻĻāĐāĐ° āĻŠāĐāĻ°āĐāĻĄāĻāĻļāĻžāĻĻ-āĻĪāĻŋāĻāĻ°, āĻļāĐ°āĻāĻūāĻēāĻĢ āĻŊāĐāĻ āĻ āĻĪāĐ āĻĩāĐąāĻĄāĐ āĻŠāĐāĻŪāĻūāĻĻāĐ âāĻĪāĐ āĻāĻēāĻūāĻāĻĢ āĻŊāĐāĻ āĻŽāĻĢāĻūāĻāĻāĻĶāĐ āĻđāĻĻāĨĪ
graph LR
A[IServiceCollection] --> B[āĻāĻāĐ°āĻ āĻŽāĻŋāĻēāĻĄāĻ°]
B --> C[āĻļāĐ°āĻ°āĻāĻĻāĻū]
C --> D[āĻāĐāĻē āĻ°āĻāĻŋāĻļāĻāĻ°āĐ]
D --> E[āĻāĻāĻ āĻāĻāĐ°āĻ]
.NET āĻĻāĻūāĻē āĻāĻĶāĻŊāĐāĻ-āĻŪāĻŋāĻāĻ°āĐ āĻŽāĐāĐąāĻ§āĐāĻŪāĻūāĻĻ āĻāĻāĐ°āĻ āĻŽāĻĻāĻūāĻāĻĢ āĻēāĻ āĻĪāĻŋāĻāĻ°? āĻāĻ āĻāĐāĻ āĻŪāĻāĻžāĻŽāĐāĻĪ āĻĪāĻ°āĐāĻāĻŋāĻāĻ āĻĻāĻūāĻē āĻāĻ°āĻāĐāĻāĐāĻāĻ āĻāĻ°āĐāĻ! ðĒâĻ
az login āĻĻāĻūāĻē āĻļāĻūāĻāĻĻ āĻāĻĻ āĻāĻ°āĐ# zsh/bash
export AZURE_OPENAI_ENDPOINT=https://<your-resource>.openai.azure.com
export AZURE_OPENAI_DEPLOYMENT=gpt-5-mini
# āĻŦāĻŋāĻ° āĻļāĻūāĻāĻĻ āĻāĻĻ āĻāĻ°āĐ āĻĪāĻūāĻ āĻāĐ AzureCliCredential āĻāĐāĻāĻĻ āĻŠāĐāĻ°āĻūāĻŠāĻĪ āĻāĻ° āĻļāĻāĐ
az login
# ŲūاŲØą ØīÛŲ
$env:AZURE_OPENAI_ENDPOINT = "https://<your-resource>.openai.azure.com"
$env:AZURE_OPENAI_DEPLOYMENT = "gpt-5-mini"
# ŲūÚūØą ØģاØĶŲ اŲ ÚĐØąÛÚš ؊اÚĐÛ AzureCliCredential ŲđŲÚĐŲ ØاØĩŲ ÚĐØą ØģÚĐÛ
az login
āĻāĐāĻĄ āĻāĻĶāĻūāĻđāĻ°āĻĢ āĻāĻēāĻūāĻāĻĢ āĻēāĻ,
# zsh/bash
chmod +x ./03-dotnet-agent-framework.cs
./03-dotnet-agent-framework.cs
āĻāĻūāĻ dotnet CLI āĻĩāĻ°āĻĪāĐāĻ āĻāĻ°āĻāĐ:
dotnet run ./03-dotnet-agent-framework.cs
āĻŠāĐāĻ°āĻū āĻāĐāĻĄ āĻĩāĐāĻāĻĢ āĻēāĻ 03-dotnet-agent-framework.cs āĻĻāĐāĐ° āĻĶāĐāĻāĐāĨĪ
#!/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
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);
}
āĻ āĻļāĻĩāĐāĻāĻūāĻ°āĐāĻŠāĻĢ: āĻāĻļ āĻĶāĻļāĻĪāĻūāĻĩāĐāĻāĻž āĻĶāĻū āĻ āĻĻāĐāĻĩāĻūāĻĶ āĻāĻāĻ āĻ āĻĻāĐāĻĩāĻūāĻĶ āĻļāĐāĻĩāĻū Co-op Translator āĻĶāĐ āĻĩāĻ°āĻĪāĐāĻ āĻāĻ°āĻāĐ āĻāĐāĻĪāĻū āĻāĻŋāĻ āĻđāĐāĨĪ āĻāĻĶāĐāĻ āĻāĻŋ āĻ āĻļāĐāĻ āĻļāĻđāĐāĻĪāĻūāĻĩāĻūāĻ āĻēāĻ āĻŊāĻĪāĻĻāĻļāĻžāĐāĻē āĻđāĻūāĻ, āĻāĻŋāĻ°āĻŠāĻū āĻāĻ°āĻāĐ āĻ§āĻŋāĻāĻĻ āĻ°āĐąāĻāĐ āĻāĻŋ āĻļāĻĩāĐāĻāĻūāĻēāĻŋāĻĪ āĻ āĻĻāĐāĻĩāĻūāĻĶāĻūāĻ āĻĩāĻŋāĐąāĻ āĻāĻēāĻĪāĐāĻāĻ āĻāĻūāĻ āĻ āĻļāĻŪāĐąāĻĪāĻŋāĻāĻĩāĻūāĻ āĻđāĐ āĻļāĻāĻĶāĐāĻāĻ āĻđāĻĻāĨĪ āĻŪāĐāĻē āĻĶāĻļāĻĪāĻūāĻĩāĐāĻāĻž āĻāĻŠāĻĢāĐ āĻŪāĐāĻē āĻāĻūāĻļāĻžāĻū āĻĩāĻŋāĐąāĻ āĻ āĻ§āĻŋāĻāĻūāĻ°āĻ āĻļāĻ°āĐāĻĪ āĻŪāĐ°āĻĻāĻŋāĻ āĻāĻūāĻĢāĻū āĻāĻūāĻđāĐāĻĶāĻū āĻđāĐāĨĪ āĻāĻ°āĐāĻ°āĐ āĻāĻūāĻĢāĻāĻūāĻ°āĐ āĻēāĻ, āĻŠāĐāĻļāĻžāĐāĻĩāĻ° āĻŪāĻĻāĐāĐąāĻāĐ āĻ āĻĻāĐāĻĩāĻūāĻĶ āĻĶāĐ āĻļāĻŋāĻŦāĻžāĻūāĻ°āĻļāĻž āĻāĐāĻĪāĐ āĻāĻūāĻāĻĶāĐ āĻđāĐāĨĪ āĻ āĻļāĐāĻ āĻāĻļ āĻ āĻĻāĐāĻĩāĻūāĻĶ āĻĶāĐ āĻāĻŠāĻŊāĐāĻ āĻĪāĐāĻ āĻŠāĐāĻĶāĻū āĻđāĐāĻĢ āĻĩāĻūāĻēāĐāĻāĻ āĻāĻŋāĻļāĐ āĻĩāĐ āĻāĻēāĻĪāĻŦāĻđāĻŋāĻŪāĐāĻāĻ āĻāĻūāĻ āĻāĻēāĻĪ āĻĩāĻŋāĻāĻāĻŋāĻāĻĩāĻūāĻ āĻēāĻ āĻāĻĩāĻūāĻŽāĻĶāĐāĻđ āĻĻāĻđāĐāĻ āĻđāĻūāĻāĨĪ