GPT for unity插件地址:GitHub – sunsvip/ChatGPTForUnity: ChatGPT for unity

用法:

  1. 打开Unity PackageManager界面.
  2. Add package from git URL
  3. 粘贴插件地址添加https://github.com/sunsvip/ChatGPTForUnity.git

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几个资本大佬花钱让一群程序员研发出了AI，砸了程序员的大锅。尤其是ChatGPT 4.0发布后，认识的同事朋友们都在恐慌AI的发展，甚至有不少人开始抗拒。我的观点是：人工智能是大势所趋，势不可挡，那就驾驭它吧！

我司已经在商业项目中实际使用了AI, 包括Stable Diffusion及其扩展插件，当然也有爆火的GPT。

Midjourney + Stable Diffusion + ControlNET + Lora以及Photoshop Stable Diffusion等插件的结合使用已经强大到基本取代初中级原画师；

GPT 4.0势头已经咄咄逼人，据说下一代会进化到运行时处理功能，比如对磁盘的读写等。用户让“创建一个cs代码”，它就能在电脑硬盘里创建一个代码文件。个人觉得任重道远，功能越强责任越大，如果没有有效解决安全问题之前，这一步很难到来。

GPT已经能全面应用到游戏开发的各个环节了，策划的剧情设定、技术的代码编写优化、测试的测试用例等。我从去年12月开始使用，完全把它当成了一个搜索引擎，自从有了它几乎没使用多少次谷歌百度。4.0的到来彻底激发了我对ChatGPT实际应用的思考。

首先第一步肯定是先把GPT接入Unity，先建立起通讯，以此为基础各种应用功能才能百花齐放。

工具效果预览：

将回答里的代码保存成文件

GPT接口实现：

用UnityWebRequest实现一个与ChatGPT通讯的类，之后的各种功能基于此类。

一，获取API Key

GPT提供了开放接口，仅需一个个人版的API Key即可, API Key获取入口:https://platform.openai.com/account/api-keys

二，使用UnityWebRequest发送Post请求和接收GPT返回信息

GPT URL:https://api.openai.com/v1/chat/completions

上行数据结构如下：

{"messages": [{"role": "user","content": "你是机器人吗"//要发送的问题}],"model": "gpt-3.5-turbo",//AI数据模型"temperature": 0.7 //默认是1, 数值越大结果随机性越高}

需要注意的是，messages是个数组，如果想连续对话就需要把发送历史塞到这个messages数组，gpt根据你的发送历史分析上下文给出处理结果。gpt消耗token不是根据发送请求次数计算，聊天历史越多单次发送请求消耗的token越多，所以及时清除历史(新建话题)可以节省token消耗。

下行数据结构如下：

{"id": "chatcmpl-xxxxxxxxxxxxxxxxxx","object": "chat.completion","created": 1678987654,"model": "gpt-3.5-turbo-0301","usage": {"prompt_tokens": 14,"completion_tokens": 23,"total_tokens": 37},"choices": [{"message": {"role": "assistant","content": "\n\n是的，我是一个AI语言模型，也可以被称为机器人。" //得到的回复},"finish_reason": "stop","index": 0}]}

使用UnityWebRequest发送Post请求：

private IEnumerator Request(string input, Action onComplete, Action onProgressUpdate){var msg = new Message(){role = UserId,content = input,};requestData.AppendChat(msg);messageHistory.Add(msg);using (webRequest = new UnityWebRequest(ChatgptUrl, "POST")){var jsonDt = UtilityBuiltin.Json.ToJson(requestData);Debug.Log(jsonDt);byte[] bodyRaw = Encoding.UTF8.GetBytes(jsonDt);webRequest.uploadHandler = new UploadHandlerRaw(bodyRaw);webRequest.downloadHandler = new DownloadHandlerBuffer();webRequest.SetRequestHeader("Content-Type", "application/json");webRequest.SetRequestHeader("Authorization", $"Bearer {this.ApiKey}");//webRequest.certificateHandler = new ChatGPTWebRequestCert();var req = webRequest.SendWebRequest();while (!webRequest.isDone){onProgressUpdate" />(json);int lastChoiceIdx = result.choices.Count - 1;var replyMsg = result.choices[lastChoiceIdx].message;replyMsg.content = replyMsg.content.Trim();messageHistory.Add(replyMsg);onComplete?.Invoke(true, replyMsg.content);}catch (System.Exception e){Debug.LogError($"---------ChatGPT返回数据解析失败:{e.Message}---------");onComplete?.Invoke(false, e.Message);}}webRequest.Dispose();webRequest = null;}}

以上就是向ChatGPT发送请求并接受回复的核心代码，非常简单。然而不出意外的话会出现请求报错：Cert verify failed: UNITYTLS_X509VERIFY_FLAG_CN_MISMATCH， https证书验证失败。

所以还需要自定义验证类，直接跳过验证返回true：

class ChatGPTWebRequestCert : UnityEngine.Networking.CertificateHandler{protected override bool ValidateCertificate(byte[] certificateData){//return base.ValidateCertificate(certificateData);return true;}}

然后为UnityWebRequest势力指定验证Handler：

webRequest.certificateHandler = new ChatGPTWebRequestCert();

再次运行就能正常接收数据了。

完整代码：

using System;using System.Collections;using System.Collections.Generic;using System.Text;using System.Threading.Tasks;using Unity.EditorCoroutines.Editor;using UnityEditor;using UnityEngine;using UnityEngine.Networking;namespace UnityGameFramework.Editor.AIAssistant{public class ChatGPT{const string ChatgptUrl = "https://api.openai.com/v1/chat/completions";const string DefaultAPIKey = "替换自己的ChatGPT API Key";const string DefaultModel = "gpt-3.5-turbo";const float DefaultTemperature = 0;const string DefaultUserId = "user";string ApiKey;string UserId;List messageHistory;public List MessageHistory => messageHistory;ChatGPTRequestData requestData;UnityWebRequest webRequest;public float ChatGPTRandomness { get => requestData.temperature; set { requestData.temperature = Mathf.Clamp(value, 0, 2); } }public bool IsRequesting => webRequest != null && !webRequest.isDone;public float RequestProgress => IsRequesting ? (webRequest.uploadProgress + webRequest.downloadProgress) / 2f : 0f;public ChatGPT(string apiKey = DefaultAPIKey, string userId = DefaultUserId, string model = DefaultModel, float temperature = DefaultTemperature){this.ApiKey = apiKey;this.UserId = string.IsNullOrWhiteSpace(userId) ? DefaultUserId : userId;messageHistory = new List();requestData = new ChatGPTRequestData(model, temperature);}/// /// 接着上次的话题/// public void RestoreChatHistory(){var chatHistoryJson = EditorPrefs.GetString("ChatGPT.Settings.ChatHistory", string.Empty);var requestDataJson = EditorPrefs.GetString("ChatGPT.Settings.RequestData", string.Empty);if (!string.IsNullOrEmpty(chatHistoryJson)){var jsonObj = UtilityBuiltin.Json.ToObject(requestDataJson);if (jsonObj != null){requestData.messages = jsonObj.messages;}}if (!string.IsNullOrEmpty(requestDataJson)){var jsonObj = UtilityBuiltin.Json.ToObject<List>(chatHistoryJson);if (jsonObj != null){messageHistory = jsonObj;}}}public void SaveChatHistory(){var chatHistoryJson = UtilityBuiltin.Json.ToJson(messageHistory);var requestDataJson = UtilityBuiltin.Json.ToJson(requestData);EditorPrefs.SetString("ChatGPT.Settings.ChatHistory", chatHistoryJson);EditorPrefs.SetString("ChatGPT.Settings.RequestData", requestDataJson);}public void Send(string message, Action onComplete = null, Action onProgressUpdate = null){EditorCoroutineUtility.StartCoroutine(Request(message, onComplete, onProgressUpdate), this);}public async Task SendAsync(string message){bool isCompleted = false;string result = string.Empty;Action onComplete = (success, str) =>{isCompleted = true;if (success) result = str;};EditorCoroutineUtility.StartCoroutine(Request(message, onComplete, null), this);while (!isCompleted){await Task.Delay(10);}return result;}private IEnumerator Request(string input, Action onComplete, Action onProgressUpdate){var msg = new Message(){role = UserId,content = input,};requestData.AppendChat(msg);messageHistory.Add(msg);using (webRequest = new UnityWebRequest(ChatgptUrl, "POST")){var jsonDt = UtilityBuiltin.Json.ToJson(requestData);Debug.Log(jsonDt);byte[] bodyRaw = Encoding.UTF8.GetBytes(jsonDt);webRequest.uploadHandler = new UploadHandlerRaw(bodyRaw);webRequest.downloadHandler = new DownloadHandlerBuffer();webRequest.SetRequestHeader("Content-Type", "application/json");webRequest.SetRequestHeader("Authorization", $"Bearer {this.ApiKey}");webRequest.certificateHandler = new ChatGPTWebRequestCert();var req = webRequest.SendWebRequest();while (!webRequest.isDone){onProgressUpdate?.Invoke((webRequest.downloadProgress + webRequest.uploadProgress) / 2f);yield return null;}if (webRequest.result != UnityWebRequest.Result.Success){Debug.LogError($"---------ChatGPT请求失败:{webRequest.error}---------");onComplete?.Invoke(false, string.Empty);}else{var json = webRequest.downloadHandler.text;Debug.Log(json);try{ChatCompletion result = UtilityBuiltin.Json.ToObject(json);int lastChoiceIdx = result.choices.Count - 1;var replyMsg = result.choices[lastChoiceIdx].message;replyMsg.content = replyMsg.content.Trim();messageHistory.Add(replyMsg);onComplete?.Invoke(true, replyMsg.content);}catch (System.Exception e){Debug.LogError($"---------ChatGPT返回数据解析失败:{e.Message}---------");onComplete?.Invoke(false, e.Message);}}webRequest.Dispose();webRequest = null;}}public void NewChat(){requestData.ClearChat();messageHistory.Clear();}public bool IsSelfMessage(Message msg){return this.UserId.CompareTo(msg.role) == 0;}}class ChatGPTRequestData{public List messages;public string model;public float temperature;public ChatGPTRequestData(string model, float temper){this.model = model;this.temperature = temper;this.messages = new List();}/// /// 同一话题追加会话内容/// /// /// public ChatGPTRequestData AppendChat(Message msg){this.messages.Add(msg);return this;}/// /// 清除聊天历史(结束一个话题), 相当于新建一个聊天话题/// public void ClearChat(){this.messages.Clear();}}class ChatGPTWebRequestCert : UnityEngine.Networking.CertificateHandler{protected override bool ValidateCertificate(byte[] certificateData){//return base.ValidateCertificate(certificateData);return true;}}class Usage{public int prompt_tokens;public int completion_tokens;public int total_tokens;}public class Message{public string role;public string content;}class Choice{public Message message;public string finish_reason;public int index;}class ChatCompletion{public string id;public string @object;public int created;public string model;public Usage usage;public List choices;}}

使用方法一, 同步获取结果：

var ai = new ChatGPT();var str = await ai.SendAsync("你好");Debug.Log(str);

使用方法二, 异步获取结果:

new ChatGPT().Send("你好", (success, message) => { if (success) Debug.Log(message); }, requestProgress => { Debug.Log($"Request progress:{requestProgress}"); });

三，基于上面的类实现一个AI聊天窗口

为什么要写个聊天窗口：

1.https://chat.openai.com/chat网页版登陆锁IP，并且会验证时区，如果用美国的节点时区时间对不上拒绝登录。

2. 虽然登录成功后不科学也能用，但是同一话题很快就会超时无法应答，刷新界面或新建话题才能正常使用，总之非常鸡肋。

而通过开放接口就没有这些问题，API请求会更加爽快。

聊天窗口功能设计：

1. 需要一个滚动列表展示双方对话记录，对话文本内容支持选择复制。

2. 问题输入框和发送按钮、新建话题(清除话题对话)

3. 对话历史存档。

代码实现，比较简单就不解释了，直接上源码：

using System;using UnityEditor;using UnityEngine;namespace UnityGameFramework.Editor.AIAssistant{[EditorToolMenu("AI助手/ChatGPT", 5)]public class ChatGPTWindow : EditorToolBase{public override string ToolName => "ChatGPT";Vector2 scrollPos = Vector2.zero;ChatGPT ai;private bool settingFoldout = false;string message;const string aiRoleName = "AI";private float chatBoxWidthRatio = 0.85f;private float iconSizeRatio = 0.6f;private float chatBoxPadding = 20;private float chatBoxEdgePadding = 10;GUIStyle myChatStyle;GUIStyle aiChatStyle;GUIStyle aiIconStyle;GUIStyle myIconStyle;GUIStyle txtAreaStyle;GUIContent chatContent;bool isEditorInitialized = false;private float scrollViewHeight;private void OnEnable(){EditorApplication.update += OnEditorUpdate;ai = new ChatGPT(AppBuildSettings.Instance.ChatGPTKey);ai.ChatGPTRandomness = AppBuildSettings.Instance.ChatGPTRandomness;chatContent = new GUIContent();ai.RestoreChatHistory();}private void OnEditorUpdate(){if (EditorApplication.isCompiling || EditorApplication.isUpdating){return;}try{InitGUIStyles();isEditorInitialized = true;EditorApplication.update -= OnEditorUpdate;}catch (Exception){}}private void InitGUIStyles(){aiChatStyle = new GUIStyle(EditorStyles.selectionRect);aiChatStyle.wordWrap = true;aiChatStyle.normal.textColor = Color.white;aiChatStyle.fontSize = 18;aiChatStyle.alignment = TextAnchor.MiddleLeft;myChatStyle = new GUIStyle(EditorStyles.helpBox);myChatStyle.wordWrap = true;myChatStyle.normal.textColor = Color.white;myChatStyle.fontSize = 18;myChatStyle.alignment = TextAnchor.MiddleLeft;txtAreaStyle = new GUIStyle(EditorStyles.textArea);txtAreaStyle.fontSize = 18;aiIconStyle = new GUIStyle();aiIconStyle.wordWrap = true;aiIconStyle.alignment = TextAnchor.MiddleCenter;aiIconStyle.fontSize = 18;aiIconStyle.fontStyle = FontStyle.Bold;aiIconStyle.normal.textColor = Color.black;aiIconStyle.normal.background = EditorGUIUtility.FindTexture("sv_icon_dot5_pix16_gizmo");myIconStyle = new GUIStyle(aiIconStyle);myIconStyle.normal.background = EditorGUIUtility.FindTexture("sv_icon_dot2_pix16_gizmo");}private void OnDisable(){ai.SaveChatHistory();}private void OnGUI(){if (!isEditorInitialized) return;EditorGUILayout.BeginVertical();{scrollPos = EditorGUILayout.BeginScrollView(scrollPos);{scrollViewHeight = 0;foreach (var msg in ai.MessageHistory){var msgRect = EditorGUILayout.BeginVertical();{EditorGUILayout.BeginHorizontal();{bool isMyMsg = ai.IsSelfMessage(msg);var labelStyle = isMyMsg ? myChatStyle : aiChatStyle;chatContent.text = msg.content;float chatBoxWidth = this.position.width * chatBoxWidthRatio;float iconSize = (this.position.width - chatBoxWidth) * iconSizeRatio;float chatBoxHeight = Mathf.Max(iconSize, chatBoxEdgePadding + labelStyle.CalcHeight(chatContent, chatBoxWidth - chatBoxEdgePadding));if (isMyMsg) { GUILayout.FlexibleSpace(); }else{EditorGUILayout.LabelField(aiRoleName, aiIconStyle, GUILayout.Width(iconSize), GUILayout.Height(iconSize));}EditorGUILayout.SelectableLabel(msg.content, labelStyle, GUILayout.Width(chatBoxWidth), GUILayout.Height(chatBoxHeight));if (!isMyMsg) { GUILayout.FlexibleSpace(); }else{EditorGUILayout.LabelField(msg.role, myIconStyle, GUILayout.Width(iconSize), GUILayout.Height(iconSize));}EditorGUILayout.EndHorizontal();}EditorGUILayout.EndVertical();}EditorGUILayout.Space(chatBoxPadding);scrollViewHeight += msgRect.height;}EditorGUILayout.EndScrollView();}if (ai.IsRequesting){var barWidth = position.width * 0.8f;var pBarRect = new Rect((position.width - barWidth) * 0.5f, (position.height - 30f) * 0.5f, barWidth, 30f);EditorGUI.ProgressBar(pBarRect, ai.RequestProgress, $"请求进度:{ai.RequestProgress:P2}");}GUILayout.FlexibleSpace();if (settingFoldout = EditorGUILayout.Foldout(settingFoldout, "展开设置项:")){EditorGUILayout.BeginVertical("box");{EditorGUILayout.BeginHorizontal();{EditorGUILayout.LabelField("ChatGPT API Key:", GUILayout.Width(170));AppBuildSettings.Instance.ChatGPTKey = EditorGUILayout.TextField(AppBuildSettings.Instance.ChatGPTKey);EditorGUILayout.EndHorizontal();}EditorGUILayout.BeginHorizontal();{EditorGUILayout.LabelField("结果随机性:", GUILayout.Width(170));ai.ChatGPTRandomness = AppBuildSettings.Instance.ChatGPTRandomness = EditorGUILayout.Slider(AppBuildSettings.Instance.ChatGPTRandomness, 0, 2);EditorGUILayout.EndHorizontal();}EditorGUILayout.EndVertical();}}//EditorGUILayout.LabelField(scrollPos.ToString());EditorGUILayout.BeginHorizontal();{message = EditorGUILayout.TextArea(message, txtAreaStyle, GUILayout.MinHeight(80));EditorGUI.BeginDisabledGroup(ai.IsRequesting);{if (GUILayout.Button("发送消息", GUILayout.MaxWidth(120), GUILayout.Height(80))){if (!string.IsNullOrWhiteSpace(message)){ai.Send(message, OnChatGPTMessage);}}if (GUILayout.Button("新话题", GUILayout.MaxWidth(80), GUILayout.Height(80))){ai.NewChat();}EditorGUI.EndDisabledGroup();}EditorGUILayout.EndHorizontal();}EditorGUILayout.EndVertical();}}private void OnChatGPTMessage(bool arg1, string arg2){scrollPos.y = scrollViewHeight;if (arg1){message = string.Empty;}Repaint();}}}

添加代码后，Toolbar的Tools工具栏会自动识别这个工具菜单，点击即可打开AI对话窗口：

AI的应用展望：

下一步就是为GPT赋予双手，添加各种指令Handler。比如生成json文件、生成语言国际化Excel文件、修改优化代码、生成代码文件、生成Shader、一键拼UI等等。

分为三个模块：

1. 描述文本(发送给GPT)

2. 动态追加描述内容：有时需要追加一些文本数据，比如让GPT优化一段代码，需要动态追加把代码补充到描述文本。

3. 结果解析。得到目标结果，使用Handler解析GPT返回结果，达成某种功能。GPT返回的代码或json等数据都会用标签包住，通过解析标签就可以生成各种类型的文件。

最终就可以不用写程序，只写问题的描述文本，确保能从GPT得到满意答案就可以实现某项功能。想要新增新的工具，扩展新的功能只需要在文件中添加修改问题描述文本即可。

比如语言国际化，我通过问题描述让GPT从工程代码中扫描所有语言本地化函数GF.Localization.GetText()传入的国际化文本，并且把文本翻译成中文，把结果以key，value键值对保存输出json文件。最后我得到了GPT返回的诸如{“Hello”:”你好“}的所有国际化文本和翻译结果。

然后我只需要解析GPT返回结果，生成语言国际化文件到工程中就完成了AI自动处理语言国际化的问题。