前言

上篇文章介紹了要怎麼將 LightsPlugin 添加到 Spring 上，今天我們來嘗是將架構餵給 AI，讓他幫忙我們將架構生好，細部的設定在去微調到自己想要的就可以了

架構

這次我們要生成的功能會是前幾篇有生成過的提示詞的功能，嘗試餵給 AI 後的結果

將前幾篇的提示詞跟昨天介紹的架構一起餵給 AI 讓他幫忙生成的結果如下

public class SmartHomeAssistant {  

    private boolean lightIsOn = false;  
    private boolean acIsOn = false;  
    private int acTemperature = 24; // Default temperature  

    @DefineKernelFunction(name = "change_light_state", description = "Changes the state of the room light")  
    public String changeLightState(  
        @KernelFunctionParameter(name = "action", description = "1 for turn on, 2 for turn off") int action) {  
        
        if (action == 1) {  
            lightIsOn = true;  
            return "A-1-1"; // Turn on light  
        } else if (action == 2) {  
            lightIsOn = false;  
            return "A-1-2"; // Turn off light  
        } else if (action == 3 && lightIsOn) {  
            return "A-1-3"; // Light is on  
        } else if (action == 4 && !lightIsOn) {  
            return "A-1-4"; // Light is off  
        }  
        return "Invalid action"; // Error case  
    }  

    @DefineKernelFunction(name = "change_ac_state", description = "Changes the state of the air conditioner")  
    public String changeAcState(  
        @KernelFunctionParameter(name = "action", description = "1 for turn on, 2 for turn off, 5 for increase temp, 6 for decrease temp, 7 for current temp") int action) {  
        
        if (action == 1) {  
            acIsOn = true;  
            return "A-2-1"; // Turn on AC  
        } else if (action == 2) {  
            acIsOn = false;  
            return "A-2-2"; // Turn off AC  
        } else if (action == 5) {  
            acTemperature++;  
            return "A-2-5"; // Increase temperature  
        } else if (action == 6) {  
            acTemperature--;  
            return "A-2-6"; // Decrease temperature  
        } else if (action == 7) {  
            return "A-2-7-" + acTemperature; // Current temperature  
        }  
        return "Invalid action"; // Error case  
    }  

    @DefineKernelFunction(name = "general_chat", description = "Handles general chat responses")  
    public String generalChatResponse(@KernelFunctionParameter(name = "message", description = "User input message") String message) {  
        return "T-1-Text: " + handleUnknownRequest(message); // Responds as a chat bot  
    }  

    private String handleUnknownRequest(String message) {  
        // Logic to handle unknown requests, returning a general response  
        return "I'm sorry, I can't help with that.";  
    }  
}

基本上就跟我們想要的功能差不多，只要再將部分的內容做微調就完成了！

總結

這次利用 AI 幫忙寫結構，省去了不少時間需要想結構的寫法，我們就可以更加專注於將這個功能完善，花更多時間去想還可以添加的功能。