Semantic Kernel - Using a local (OpenAI API compatible) model

Example.cs

using Microsoft.Extensions.DependencyInjection;
using Microsoft.SemanticKernel;

var kernelBuilder = Kernel.CreateBuilder()
      .AddOpenAIChatCompletion(
        modelId: "ollama-model-name"
        apiKey: "can-be-what-ever");

kernelBuilder.Services.ConfigureHttpClientDefaults(e =>
    e.ConfigurePrimaryHttpMessagehandler(() => new ExampleRedirectHandler()));


sealed class ExampleRedirectHandler : DelegatingHandler(new HttpClientHandler())
{
    protected override async Task<HttpResponseMessage> SendAsync(
        HttpRequestMessage request,
        CancellationToken cancellationToken)
    {
        Console.WriteLine($"[INFO] Original url {request.RequestUri}");

        var newUrl = new UriBuilder(request.RequestUri!)
        {
            Host = "localhost"
        }.Uri;

        request.RequestUri = new Uri(newUrl.ToString().Replace("https://localhost", "http://localhost:11434"));
        Console.WriteLine($"[INFO] New url {request.RequestUri}");

        return await base.SendAsync(request, cancellationToken);
    }
}