Files
wehub-resource-sync b957a53def
CodeQL / Analyze (csharp) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

56 lines
2.0 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using Microsoft.SemanticKernel;
namespace Examples;
/// <summary>
/// This example demonstrates how to add AI services to a kernel as described at
/// https://learn.microsoft.com/semantic-kernel/agents/kernel/adding-services
/// </summary>
public class AIServices(ITestOutputHelper output) : BaseTest(output)
{
[Fact]
public async Task RunAsync()
{
Console.WriteLine("======== AI Services ========");
string? endpoint = TestConfiguration.AzureOpenAI.Endpoint;
string? modelId = TestConfiguration.AzureOpenAI.ChatModelId;
string? textModelId = TestConfiguration.AzureOpenAI.ChatModelId;
string? apiKey = TestConfiguration.AzureOpenAI.ApiKey;
if (endpoint is null || modelId is null || textModelId is null || apiKey is null)
{
Console.WriteLine("Azure OpenAI credentials not found. Skipping example.");
return;
}
string? openAImodelId = TestConfiguration.OpenAI.ChatModelId;
string? openAItextModelId = TestConfiguration.OpenAI.ChatModelId;
string? openAIapiKey = TestConfiguration.OpenAI.ApiKey;
if (openAImodelId is null || openAItextModelId is null || openAIapiKey is null)
{
Console.WriteLine("OpenAI credentials not found. Skipping example.");
return;
}
// Create a kernel with an Azure OpenAI chat completion service
// <TypicalKernelCreation>
Kernel kernel = Kernel.CreateBuilder()
.AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey)
.Build();
// </TypicalKernelCreation>
// You can also create a kernel with a (non-Azure) OpenAI chat completion service
// <OpenAIKernelCreation>
kernel = Kernel.CreateBuilder()
.AddOpenAIChatCompletion(openAImodelId, openAIapiKey)
.Build();
// </OpenAIKernelCreation>
}
}