perf log

document/content/docs/toc.mdx

@@ -116,6 +116,7 @@ description: FastGPT 文档目录
 - [/docs/upgrading/4-14/4142](/docs/upgrading/4-14/4142)
 - [/docs/upgrading/4-14/4143](/docs/upgrading/4-14/4143)
 - [/docs/upgrading/4-14/4144](/docs/upgrading/4-14/4144)
+- [/docs/upgrading/4-14/4145](/docs/upgrading/4-14/4145)
 - [/docs/upgrading/4-8/40](/docs/upgrading/4-8/40)
 - [/docs/upgrading/4-8/41](/docs/upgrading/4-8/41)
 - [/docs/upgrading/4-8/42](/docs/upgrading/4-8/42)

document/content/docs/upgrading/4-14/4145.mdx

@@ -0,0 +1,19 @@
+---
+title: 'V4.14.5(进行中)'
+description: 'FastGPT V4.14.5 更新说明'
+---
+
+
+## 🚀 新增内容
+
+
+
+## ⚙️ 优化
+
+
+## 🐛 修复
+
+1. MCP 工具创建时，使用自定义鉴权头会报错。
+
+
+## 插件

document/content/docs/upgrading/4-14/meta.json

@@ -1,5 +1,5 @@
 {
   "title": "4.14.x",
   "description": "",
-  "pages": ["4144", "4143", "4142", "4141", "4140"]
+  "pages": ["4145", "4144", "4143", "4142", "4141", "4140"]
 }

document/data/doc-last-modified.json

@@ -119,7 +119,7 @@
   "document/content/docs/upgrading/4-14/4141.mdx": "2025-11-19T10:15:27+08:00",
   "document/content/docs/upgrading/4-14/4142.mdx": "2025-11-18T19:27:14+08:00",
   "document/content/docs/upgrading/4-14/4143.mdx": "2025-11-26T20:52:05+08:00",
-  "document/content/docs/upgrading/4-14/4144.mdx": "2025-12-16T01:50:09+08:00",
+  "document/content/docs/upgrading/4-14/4144.mdx": "2025-12-16T14:56:04+08:00",
   "document/content/docs/upgrading/4-8/40.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/41.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/42.mdx": "2025-08-02T19:38:37+08:00",

packages/global/package.json

@@ -13,7 +13,7 @@
     "jschardet": "3.1.1",
     "json5": "^2.2.3",
     "nanoid": "^5.1.3",
-    "next": "14.2.32",
+    "next": "14.2.35",
     "openai": "4.61.0",
     "openapi-types": "^12.1.3",
     "timezones-list": "^3.0.2",

packages/service/common/api/frequencyLimit.ts

@@ -63,9 +63,7 @@ export const teamFrequencyLimit = async ({
 
   if (currentCount > limit) {
     const remainingTime = await redis.ttl(key);
-    addLog.info(
-      `[Completion Limit] Team ${teamId} reached the limit of ${limit} requests per ${seconds} seconds. Remaining time: ${remainingTime} seconds.`
-    );
+    addLog.info(`[Completion Limit] Over qpm limit`, { teamId, currentCount, limit });
     jsonRes(res, {
       code: 429,
       error: `Rate limit exceeded. Maximum ${limit} requests per ${seconds} seconds for this team. Please try again in ${remainingTime} seconds.`

packages/service/common/string/utils.ts

@@ -1,4 +1,3 @@
-import { simpleMarkdownText } from '@fastgpt/global/common/string/markdown';
 import { WorkerNameEnum, runWorker } from '../../worker/utils';
 import { type ImageType } from '../../worker/readFile/type';
 
@@ -8,5 +7,5 @@ export const htmlToMarkdown = async (html?: string | null) => {
     imageList: ImageType[];
   }>(WorkerNameEnum.htmlStr2Md, { html: html || '' });
 
-  return simpleMarkdownText(md.rawText);
+  return md.rawText;
 };

packages/service/common/system/log.ts

@@ -150,6 +150,7 @@ export const addLog = {
   },
   error(msg: string, error?: any) {
     this.log(LogLevelEnum.error, msg, {
+      ...(error?.data && { data: error?.data }),
       message: error?.message || error,
       stack: error?.stack,
       ...(error?.config && {

packages/service/core/ai/embedding/index.ts

@@ -59,13 +59,17 @@ export async function getVectorsByText({ model, input, type, headers }: GetVecto
         )
         .then(async (res) => {
           if (!res.data) {
-            addLog.error('Embedding API is not responding', res);
+            addLog.error('[Embedding] API is not responding', res);
             return Promise.reject('Embedding API is not responding');
           }
           if (!res?.data?.[0]?.embedding) {
-            console.log(res);
             // @ts-ignore
-            return Promise.reject(res.data?.err?.message || 'Embedding API Error');
+            const msg = res.data?.err?.message || 'Embedding API Error';
+            addLog.error('[Embedding] API Error', {
+              message: msg,
+              data: res
+            });
+            return Promise.reject(msg);
           }
 
           const [tokens, vectors] = await Promise.all([
@@ -93,7 +97,7 @@ export async function getVectorsByText({ model, input, type, headers }: GetVecto
       vectors: allVectors
     };
   } catch (error) {
-    addLog.error(`Embedding Error`, error);
+    addLog.error(`[Embedding] request error`, error);
 
     return Promise.reject(error);
   }

packages/service/core/ai/rerank/index.ts

@@ -35,7 +35,7 @@ export function reRankRecall({
   headers?: Record<string, string>;
 }): Promise<ReRankCallResult> {
   if (!model) {
-    return Promise.reject('no rerank model');
+    return Promise.reject('[Rerank] No rerank model');
   }
   if (documents.length === 0) {
     return Promise.resolve({
@@ -67,7 +67,7 @@ export function reRankRecall({
       addLog.info('ReRank finish:', { time: Date.now() - start });
 
       if (!data?.results || data?.results?.length === 0) {
-        addLog.error('ReRank error, empty result', data);
+        addLog.error('[Rerank] Empty result', { data });
       }
 
       return {
@@ -81,7 +81,7 @@ export function reRankRecall({
       };
     })
     .catch((err) => {
-      addLog.error('rerank error', err);
+      addLog.error('[Rerank] request error', err);
 
       return Promise.reject(err);
     });

packages/service/core/app/logs/chatLogsSchema.ts

@@ -75,6 +75,9 @@ ChatLogSchema.index({ isFirstChat: 1, teamId: 1, appId: 1, source: 1, createTime
 // Get userStats
 ChatLogSchema.index({ teamId: 1, appId: 1, userId: 1 });
 
+// Admin get chat form data - optimized for aggregation with appId/chatId grouping
+ChatLogSchema.index({ createTime: -1, appId: 1, chatId: 1 });
+
 // Init shell
 ChatLogSchema.index({ teamId: 1, appId: 1, chatId: 1 });
 

packages/service/core/chat/chatItemSchema.ts

@@ -99,7 +99,4 @@ ChatItemSchema.index({ appId: 1, chatId: 1, _id: -1 });
 // timer, clear history
 ChatItemSchema.index({ teamId: 1, time: -1 });
 
-// Admin charts
-ChatItemSchema.index({ obj: 1, time: -1 }, { partialFilterExpression: { obj: 'Human' } });
-
 export const MongoChatItem = getMongoModel<ChatItemType>(ChatItemCollectionName, ChatItemSchema);

packages/service/package.json

@@ -42,7 +42,7 @@
     "mongoose": "^8.10.1",
     "multer": "2.0.2",
     "mysql2": "^3.11.3",
-    "next": "14.2.32",
+    "next": "14.2.35",
     "nextjs-cors": "^2.2.0",
     "node-cron": "^3.0.3",
     "node-xlsx": "^0.24.0",

packages/service/worker/htmlStr2Md/utils.ts

@@ -1,6 +1,7 @@
 import TurndownService from 'turndown';
 import { type ImageType } from '../readFile/type';
 import { getNanoid } from '@fastgpt/global/common/string/tools';
+import { simpleMarkdownText } from '@fastgpt/global/common/string/markdown';
 // @ts-ignore
 const turndownPluginGfm = require('joplin-turndown-plugin-gfm');
 
@@ -78,7 +79,7 @@ export const html2md = (
     // const { text, imageList } = matchMdImg(md);
 
     return {
-      rawText: md,
+      rawText: simpleMarkdownText(md),
       imageList: images
     };
   } catch (error) {

packages/web/package.json

@@ -25,7 +25,7 @@
     "ahooks": "^3.9.5",
     "date-fns": "2.30.0",
     "dayjs": "^1.11.7",
-    "next": "14.2.32",
+    "next": "14.2.35",
     "i18next": "23.16.8",
     "js-cookie": "^3.0.5",
     "lexical": "0.12.6",