Program.cs

using System.Text;
using System.Text.Json;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.ChatCompletion;
using Microsoft.SemanticKernel.Connectors.OpenAI;

AppSetting? appSetting=null;
try
{
    appSetting =JsonSerializer.Deserialize<AppSetting>(File.ReadAllText("appsetting.json"));
}
catch
{
    
}
if (appSetting==null)
{
    appSetting=new AppSetting();
    Console.WriteLine("请填写必要信息");
    Console.WriteLine("请输入ApiUrl（需要兼容OpenAI的接口）:");
    appSetting.ApiUrl=Console.ReadLine()?.Trim();
    Console.WriteLine("请输入ModelId:");
    appSetting.ModelId=Console.ReadLine()?.Trim();
    Console.WriteLine("请输入ApiKey（如果是本地部署则可能没有，可以直接回车不填）:");
    appSetting.ApiKey=Console.ReadLine()?.Trim();
}
if (string.IsNullOrEmpty(appSetting.ApiKey)) appSetting.ApiKey="xxxxxxx";//不填会报错，所以没有就填一个无效的

string modelId= appSetting.ModelId?.Trim();
string apiKey = appSetting.ApiKey?.Trim();
string uri = appSetting.ApiUrl?.Trim();
var builder = Kernel.CreateBuilder();
var kernel = builder.AddOpenAIChatCompletion(
        modelId: modelId,
        apiKey: apiKey,
        httpClient: new HttpClient(new OpenAIHttpClientHandler(uri)))
    .Build();
ChatHistory chatHistory = new ChatHistory();
var agent = CreateDefaultAgent(kernel);
string? readText;
Console.Write("提问：");
while (!string.IsNullOrEmpty(readText=Console.ReadLine()))
{
    chatHistory.AddUserMessage(readText);
    StringBuilder sb = new StringBuilder();
    Console.Write("回答：");
    await foreach(var item in agent.InvokeStreamingAsync(chatHistory))
    {
        var text = item.Content;
        sb.Append(text);
        Console.Write(text);
    }
    chatHistory.AddAssistantMessage(sb.ToString());
    Console.WriteLine();
    Console.Write("提问：");
}
ChatCompletionAgent CreateDefaultAgent(Kernel kernel)
{
    string promptTemplate = File.ReadAllText("PromptTemplate.txt");
    var newKernel = kernel.Clone();
    newKernel.Plugins.AddRange([
            KernelPluginFactory.CreateFromFunctions("datetime_plugin", [
                KernelFunctionFactory.CreateFromMethod(() =>
                    {
                        return DateTime.Now.ToString();
                    },"get_datetime_now","获取当前系统日期时间")

            ]),
            KernelPluginFactory.CreateFromType<CMDPlugin>("cmd_plugin")
        ]
       
    );
    return new ChatCompletionAgent()
    {
        Name = "电脑管家",
        Instructions = promptTemplate,
        Kernel = newKernel,
        Arguments = new KernelArguments(new OpenAIPromptExecutionSettings()
        {
            FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()
        })
    };

}