perf: 优化系统提示消息

src/pages/api/chat/chatGpt.ts

@@ -35,9 +35,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     // 上下文长度过滤
     const maxContext = model.security.contextMaxLen;
     const filterPrompts =
-      prompts.length > maxContext + 2
-        ? [prompts[0], ...prompts.slice(prompts.length - maxContext)]
-        : prompts.slice(0, prompts.length);
+      prompts.length > maxContext ? prompts.slice(prompts.length - maxContext) : prompts;
 
     // 格式化文本内容
     const map = {
@@ -51,11 +49,13 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         content: item.value
       })
     );
-    // 第一句话，强调代码类型
-    formatPrompts.unshift({
-      role: ChatCompletionRequestMessageRoleEnum.System,
-      content: '如果你想返回代码，请务必声明代码的类型！并且在代码块前加一个换行符。'
-    });
+    // 如果有系统提示词，自动插入
+    if (model.systemPrompt) {
+      formatPrompts.unshift({
+        role: 'system',
+        content: model.systemPrompt
+      });
+    }
 
     // 获取 chatAPI
     const chatAPI = getOpenAIApi(userApiKey);
@@ -77,8 +77,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     );
     console.log(
       'response success',
-      `${(Date.now() - startTime) / 1000}s`,
-      formatPrompts.reduce((sum, item) => sum + item.content.length, 0)
+      `time: ${(Date.now() - startTime) / 1000}s`,
+      `promptLen: ${formatPrompts.length}`,
+      `contentLen: ${formatPrompts.reduce((sum, item) => sum + item.content.length, 0)}`
     );
 
     // 创建响应流

src/pages/api/chat/init.ts

@@ -49,21 +49,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       error;
     }
 
-    const defaultContent = model.systemPrompt
-      ? [
-          {
-            obj: 'SYSTEM',
-            value: model.systemPrompt
-          }
-        ]
-      : [];
-
     if (!history) {
       // 没有记录，创建一个
       const response = await ChatWindow.create({
         chatId,
         updateTime: Date.now(),
-        content: defaultContent
+        content: []
       });
       responseId = response._id;
     }
@@ -78,7 +69,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
           secret: model.security,
           chatModel: model.service.chatModel
         },
-        history: history ? history.content : defaultContent
+        history: history ? history.content : []
       }
     });
   } catch (err) {

src/pages/chat/index.tsx

@@ -249,9 +249,9 @@ const Chat = ({
       /* 对长度进行限制 */
       const maxContext = chatSiteData.secret.contextMaxLen;
       const requestPrompt =
-        newChatList.length > maxContext + 2
-          ? [newChatList[0], ...newChatList.slice(newChatList.length - maxContext - 1, -1)]
-          : newChatList.slice(0, newChatList.length - 1);
+        newChatList.length > maxContext + 1
+          ? newChatList.slice(newChatList.length - maxContext - 1, -1)
+          : newChatList.slice(0, -1);
 
       if (typeof fnMap[chatSiteData.chatModel] === 'function') {
         await fnMap[chatSiteData.chatModel](requestPrompt);

src/pages/model/components/ModelEditForm.tsx

@@ -99,7 +99,9 @@ const ModelEditForm = ({ model }: { model?: ModelType }) => {
             rows={4}
             maxLength={500}
             {...register('systemPrompt')}
-            placeholder={'系统的提示词，会在进入聊天时放置在第一句，用于限定模型的聊天范围'}
+            placeholder={
+              '模型默认的 prompt 词，可以通过调整该内容，生成一个限定范围的模型，更方便的去使用。'
+            }
           />
         </FormControl>
       </Card>

src/service/errorCode.ts

@@ -2,7 +2,8 @@ export const openaiError: Record<string, string> = {
   context_length_exceeded: '内容超长了，请重置对话',
   Unauthorized: 'API-KEY 不合法',
   rate_limit_reached: '同时访问用户过多，请稍后再试',
-  'Bad Request': '上下文太多了，请重开对话~'
+  'Bad Request': '上下文太多了，请重开对话~',
+  'Too Many Requests': '请求次数太多了，请慢点~'
 };
 export const proxyError: Record<string, boolean> = {
   ECONNABORTED: true,

src/service/response.ts

@@ -28,8 +28,11 @@ export const jsonRes = (
     } else if (openaiError[error?.response?.statusText]) {
       msg = openaiError[error.response.statusText];
     }
-    // console.log(error?.response)
-    console.log('error->', error.code, error?.response?.statusText, msg);
+    // console.log(error?.response);
+    console.log('error->');
+    console.log('code:', error.code);
+    console.log('statusText:', error?.response?.statusText);
+    console.log('msg:', msg);
   }
 
   res.json({