using System.ComponentModel;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;

const string api_key = "__API_KEY__";
const string model = "gemini-2.5-pro";

var builder = Kernel.CreateBuilder()
    .AddGoogleAIGeminiChatCompletion(model, api_key);

var kernel = builder.Build();

kernel.Plugins.Add(KernelPluginFactory.CreateFromType<LightsController>());

ChatCompletionAgent agent = new()
{
    Kernel = kernel,
    Name = "Lights Agent",
    Description = "An agent that can provide information about available lights.",
    Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()})
};

await foreach (var response in agent.InvokeAsync("Get a list of available lights"))
{
    Console.WriteLine(response.Message);
}

public class LightsController
{
    private readonly Dictionary<int,string> _lights = new()
    {
        { 1, "Table Lamp" },
        { 2, "Floor Lamp" },
        { 3, "Ceiling Light" }
    };
    
    [KernelFunction]
    [Description("Get a list of available lights")]
    public string GetLights()
    {
        return string.Join(", ", _lights.Select(kv => $"{kv.Key}: {kv.Value}"));
    }
}