Files
agent-framework/dotnet/samples/SemanticKernelMigration/AzureAIFoundry/Step02_ToolCall/Program.cs
T
Mark Wallace 32e054f1fe Rename AI Agent packages to use Microsoft.Agents.AI (#913)
* Rename AI Agent packages to use Microsoft.Agents.AI

* Fix for build

* Fix formatting

* Fix formatting

* Ignore in VSTHRD200 in migration samples

* Ignore in VSTHRD200 in migration samples

* Add some missing projects and run format

* Fix build errors

* Address code review feedback

* Fix merge issues

---------

Co-authored-by: Mark Wallace <markwallace@microsoft.com>
2025-09-25 19:31:25 +00:00

89 lines
3.3 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System.ComponentModel;
using Azure.AI.Agents.Persistent;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents.AzureAI;
#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var azureEndpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o";
var userInput = "What is the weather like in Amsterdam?";
Console.WriteLine($"User Input: {userInput}");
[KernelFunction]
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
=> $"The weather in {location} is cloudy with a high of 15°C.";
await SKAgentAsync();
await AFAgentAsync();
async Task SKAgentAsync()
{
Console.WriteLine("\n=== SK Agent ===\n");
var azureAgentClient = AzureAIAgent.CreateAgentsClient(azureEndpoint, new AzureCliCredential());
PersistentAgent definition = await azureAgentClient.Administration.CreateAgentAsync(deploymentName, instructions: "You are a helpful assistant");
AzureAIAgent agent = new(definition, azureAgentClient)
{
Kernel = Kernel.CreateBuilder().Build(),
Name = "Host",
Instructions = "You are a helpful assistant",
Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
};
var thread = new AzureAIAgentThread(azureAgentClient);
// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
agent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
var result = await agent.InvokeAsync(userInput).FirstAsync();
Console.WriteLine(result.Message);
Console.WriteLine("---");
await foreach (ChatMessageContent update in agent.InvokeAsync(userInput, thread))
{
Console.Write(update);
}
// Clean up
await thread.DeleteAsync();
await azureAgentClient.Administration.DeleteAgentAsync(agent.Id);
}
async Task AFAgentAsync()
{
Console.WriteLine("\n=== AF Agent ===\n");
var azureAgentClient = new PersistentAgentsClient(azureEndpoint, new AzureCliCredential());
var agent = await azureAgentClient.CreateAIAgentAsync(deploymentName, instructions: "Answer questions about the menu");
var thread = agent.GetNewThread();
var agentOptions = new ChatClientAgentRunOptions(new() { Tools = [AIFunctionFactory.Create(GetWeather)] });
var result = await agent.RunAsync(userInput, thread, agentOptions);
Console.WriteLine(result);
Console.WriteLine("---");
await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
{
Console.Write(update);
}
// Clean up
if (thread is ChatClientAgentThread chatThread)
{
await azureAgentClient.Threads.DeleteThreadAsync(chatThread.ConversationId);
}
await azureAgentClient.Administration.DeleteAgentAsync(agent.Id);
}