add gemini model

comment
fix interactive edge (#3659 )
2025-01-25 14:25:10 +08:00 · 2025-01-25 14:21:21 +08:00 · 2025-01-25 14:12:12 +08:00 · 2025-01-25 14:10:56 +08:00 · 2025-01-25 13:12:21 +08:00 · 2025-01-24 23:42:04 +08:00
78 changed files with 644 additions and 1410 deletions
--- a/.github/workflows/docs-deploy-vercel.yml
+++ b/.github/workflows/docs-deploy-vercel.yml
@@ -58,7 +58,7 @@ jobs:

      # Step 4 - Builds the site using Hugo
      - name: Build
-        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs@6d0568e && hugo -v --minify
+        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify

      # Step 5 - Push our generated site to Vercel
      - name: Deploy to Vercel
--- a/.github/workflows/docs-preview.yml
+++ b/.github/workflows/docs-preview.yml
@@ -58,7 +58,7 @@ jobs:

      # Step 4 - Builds the site using Hugo
      - name: Build
-        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs@6d0568e && hugo -v --minify
+        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify

      # Step 5 - Push our generated site to Vercel
      - name: Deploy to Vercel
--- a/README.md
+++ b/README.md
@@ -83,7 +83,6 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
   - [x] 统一查阅对话记录，并对数据进行标注
   
 `6` 其他
-   - [x] 可视化模型配置。
   - [x] 支持语音输入和输出 (可配置语音输入语音回答)
   - [x] 模糊输入提示
   - [x] 模板市场
--- a/docSite/Dockerfile
+++ b/docSite/Dockerfile
@@ -3,7 +3,7 @@ FROM hugomods/hugo:0.117.0 AS builder
 WORKDIR /app

 ADD ./docSite hugo
-RUN cd /app/hugo && hugo mod get -u github.com/colinwilson/lotusdocs@6d0568e && hugo -v --minify
+RUN cd /app/hugo && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify

 FROM fholzer/nginx-brotli:latest

--- a/docSite/assets/imgs/image-106.png
+++ b/docSite/assets/imgs/image-106.png
--- a/docSite/assets/imgs/image-107.png
+++ b/docSite/assets/imgs/image-107.png
--- a/docSite/content/zh-cn/docs/development/docker.md
+++ b/docSite/content/zh-cn/docs/development/docker.md
@@ -7,13 +7,6 @@ toc: true
 weight: 707
 ---

-## 前置知识
-
-1. 基础的网络知识：端口，防火墙……  
-2. Docker 和 Docker Compose 基础知识  
-3. 大模型相关接口和参数
-4. RAG 相关知识：向量模型，向量数据库，向量检索
-
 ## 部署架构图

 ![](/imgs/sealos-fastgpt.webp)
--- a/docSite/content/zh-cn/docs/development/modelConfig/intro.md
+++ b/docSite/content/zh-cn/docs/development/modelConfig/intro.md
@@ -11,9 +11,7 @@ weight: 744

 从 4.8.20 版本开始，你可以直接在 FastGPT 页面中进行模型配置，并且系统内置了大量模型，无需从 0 开始配置。下面介绍模型配置的基本流程：

-## 配置模型
-
-### 1. 使用 OneAPI 对接模型提供商
+## 1. 使用 OneAPI 对接模型提供商

 可以使用 [OneAPI 接入教程](/docs/development/modelconfig/one-api) 来进行模型聚合，从而可以对接更多模型提供商。你需要先在各服务商申请好 API 接入 OneAPI 后，才能在 FastGPT 中使用这些模型。示例流程如下：

@@ -28,46 +26,44 @@ weight: 744

 在 OneAPI 配置好模型后，你就可以打开 FastGPT 页面，启用对应模型了。

-### 2. 登录 root 用户
+## 2. 登录 root 用户

 仅 root 用户可以进行模型配置。

-### 3. 进入模型配置页面
+## 3. 进入模型配置页面

 登录 root 用户后，在`账号-模型提供商-模型配置`中，你可以看到所有内置的模型和自定义模型，以及哪些模型启用了。

 ![alt text](/image-90.png)

-### 4. 配置介绍
+## 4. 配置介绍

 {{% alert icon="🤖 " context="success" %}}
-注意：
-1. 目前语音识别模型和重排模型仅会生效一个，所以配置时候，只需要配置一个即可。  
-2. 用于知识库文件处理的语言模型，至少需要开启一个，否则知识库会报错。
+注意：目前语音识别模型和重排模型仅会生效一个，所以配置时候，只需要配置一个即可。
 {{% /alert %}}

-#### 核心配置
+### 核心配置

- 模型 ID：接口请求时候，Body 中`model`字段的值，全局唯一。
- 自定义请求地址/Key：如果需要绕过`OneAPI`，可以设置自定义请求地址和 Token。一般情况下不需要，如果 OneAPI 不支持某些模型，可以使用该特性。
+- 模型 ID：实际发出请求的`model`值，全局唯一。
+- 自定义请求地址/Token：如果需要绕过`OneAPI`，可以设置自定义请求地址和 Token。一般情况下不需要，如果 OneAPI 不支持某些模型，可以使用该特性。

-#### 模型类型
+### 模型类型

 1. 语言模型 - 进行文本对话，多模态模型支持图片识别。
 2. 索引模型 - 对文本块进行索引，用于相关文本检索。
-3. 重排模型 - 对检索结果进行重排，用于优化检索排名。
-4. 语音合成 - 将文本转换为语音。
-5. 语音识别 - 将语音转换为文本。
+3. 语音合成 - 将文本转换为语音。
+4. 语音识别 - 将语音转换为文本。
+5. 重排模型 - 对文本进行重排，用于优化文本质量。

-#### 启用模型
+### 启用模型

-系统内置了目前主流厂商的模型，如果你不熟悉配置，直接点击`启用`即可，需要注意的是，`模型 ID`需要和 OneAPI 中渠道的`模型`一致。
+系统内置了目前主流厂商的模型，如果你不熟悉配置，直接点击`启用`即可，需要注意到是，模型 ID 需要和 OneAPI 中渠道的`模型`一致。

 | | |
 | --- | --- |
 | ![alt text](/imgs/image-91.png) | ![alt text](/imgs/image-92.png) |

-#### 修改模型配置
+### 修改模型配置

 点击模型右侧的齿轮即可进行模型配置，不同类型模型的配置有区别。

@@ -75,7 +71,7 @@ weight: 744
 | --- | --- |
 | ![alt text](/imgs/image-93.png) | ![alt text](/imgs/image-94.png) |

-## 新增自定义模型
+### 新增自定义模型

 如果系统内置的模型无法满足你的需求，你可以添加自定义模型。自定义模型中，如果`模型 ID`与系统内置的模型 ID 一致，则会被认为是修改系统模型。

@@ -83,7 +79,7 @@ weight: 744
 | --- | --- |
 | ![alt text](/imgs/image-96.png) | ![alt text](/imgs/image-97.png) |

-#### 通过配置文件配置
+### 通过配置文件配置

 如果你觉得通过页面配置模型比较麻烦，你也可以通过配置文件来配置模型。或者希望快速将一个系统的配置，复制到另一个系统，也可以通过配置文件来实现。

@@ -210,7 +206,7 @@ FastGPT 页面上提供了每类模型的简单测试，可以初步检查模型

 ![alt text](/imgs/image-105.png)

-## 特殊接入示例
+## 模型接入示例

 ### ReRank 模型接入

@@ -231,60 +227,6 @@ FastGPT 页面上提供了每类模型的简单测试，可以初步检查模型

 [点击查看部署 ReRank 模型教程](/docs/development/custom-models/bge-rerank/)

-### 接入语音识别模型
-
-OneAPI 的语言识别接口，无法正确的识别其他模型（会始终识别成 whisper-1），所以如果想接入其他模型，可以通过自定义请求地址来实现。例如，接入硅基流动的 `FunAudioLLM/SenseVoiceSmall` 模型，可以参考如下配置：
-
-点击模型编辑：
-
-![alt text](/imgs/image-106.png)
-
-填写硅基流动的地址：`https://api.siliconflow.cn/v1/audio/transcriptions`，并填写硅基流动的 API Key。
-
-![alt text](/imgs/image-107.png)
-
-## 其他配置项说明
-
-### 自定义请求地址
-
-如果填写了该值，则可以允许你绕过 OneAPI，直接向自定义请求地址发起请求。需要填写完整的请求地址，例如：
-
- LLM: {{host}}/v1/chat/completions
- Embedding: {{host}}/v1/embeddings
- STT: {{host}}/v1/audio/transcriptions
- TTS: {{host}}/v1/audio/speech
- Rerank: {{host}}/v1/rerank
-
-自定义请求 Key，则是向自定义请求地址发起请求时候，携带请求头：Authorization: Bearer xxx 进行请求。
-
-所有接口均遵循 OpenAI 提供的模型格式，可参考 [OpenAI API 文档](https://platform.openai.com/docs/api-reference/introduction) 进行配置。
-
-由于 OpenAI 没有提供 ReRank 模型，遵循的是 Cohere 的格式。[点击查看接口请求示例](/docs/development/faq/#如何检查模型问题)
-
-
-### 模型价格配置
-
-商业版用户可以通过配置模型价格，来进行账号计费。系统包含两种计费模式：按总 tokens 计费和输入输出 Tokens 分开计费。
-
-如果需要配置`输入输出 Tokens 分开计费模式`，则填写`模型输入价格`和`模型输出价格`两个值。
-如果需要配置`按总 tokens 计费模式`，则填写`模型综合价格`一个值。
-
-## 如何提交内置模型
-
-由于模型更新非常频繁，官方不一定及时更新，如果未能找到你期望的内置模型，你可以[提交 Issue](https://github.com/labring/FastGPT/issues)，提供模型的名字和对应官网。或者直接[提交 PR](https://github.com/labring/FastGPT/pulls)，提供模型配置。
-
-
-### 添加模型提供商
-
-如果你需要添加模型提供商，需要修改以下代码：
-
-1. FastGPT/packages/web/components/common/Icon/icons/model - 在此目录下，添加模型提供商的 svg 头像地址。
-2. 在 FastGPT 根目录下，运行`pnpm initIcon`，将图片加载到配置文件中。
-3. FastGPT/packages/global/core/ai/provider.ts - 在此文件中，追加模型提供商的配置。
-
-### 添加模型
-
-你可以在`FastGPT/packages/service/core/ai/config/provider`目录下，找对应模型提供商的配置文件，并追加模型配置。请自行全文检查，`model`字段，必须在所有模型中唯一。具体配置字段说明，参考[模型配置字段说明](/docs/development/modelconfig/intro/#通过配置文件配置)

 ## 旧版模型配置说明

--- a/docSite/content/zh-cn/docs/development/upgrading/4819.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/4819.md
@@ -1,5 +1,5 @@
 ---
-title: 'V4.8.19(包含升级脚本)'
+title: 'V4.8.19(进行中)'
 description: 'FastGPT V4.8.19 更新说明'
 icon: 'upgrade'
 draft: false
--- a/docSite/content/zh-cn/docs/development/upgrading/4820.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/4820.md
@@ -1,5 +1,5 @@
 ---
-title: 'V4.8.20(包含升级脚本)'
+title: 'V4.8.20(进行中)'
 description: 'FastGPT V4.8.20 更新说明'
 icon: 'upgrade'
 draft: false
@@ -9,19 +9,14 @@ weight: 804

 ## 更新指南

-### 1. 做好数据库备份
-
-### 2. 更新环境变量
+### 1. 更新环境变量

 如果有很早版本用户，配置了`ONEAPI_URL`的，需要统一改成`OPENAI_BASE_URL`

-### 3. 更新镜像：
+### 1. 更新镜像：

- 更新 fastgpt 镜像 tag: v4.8.20-fix
- 更新 fastgpt-pro 商业版镜像 tag: v4.8.20-fix
- Sandbox 镜像无需更新

-### 4. 运行升级脚本
+### 2. 运行升级脚本

 从任意终端，发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`；{{host}} 替换成**FastGPT 域名**。

@@ -31,20 +26,13 @@ curl --location --request POST 'https://{{host}}/api/admin/initv4820' \
 --header 'Content-Type: application/json'
 ```

-脚本会自动把原配置文件的模型加载到新版模型配置中。
+自动把原配置文件的模型加载到新版模型配置中

 ## 完整更新内容

 1. 新增 - 可视化模型参数配置。预设超过 100 个模型配置。同时支持所有类型模型的一键测试。（预计下个版本会完全支持在页面上配置渠道）。
-2. 新增 - DeepSeek resoner 模型支持输出思考过程。
-3. 新增 - 使用记录导出和仪表盘。
-4. 新增 - markdown 语法扩展，支持音视频（代码块 audio 和 video）。
-5. 新增 - 调整 max_tokens 计算逻辑。优先保证 max_tokens 为配置值，如超出最大上下文，则减少历史记录。例如：如果申请 8000 的 max_tokens，则上下文长度会减少 8000。
-6. 优化 - 问题优化增加上下文过滤，避免超出上下文。
-7. 优化 - 页面组件抽离，减少页面组件路由。
-8. 优化 - 全文检索，忽略大小写。
-9. 优化 - 问答生成和增强索引改成流输出，避免部分模型超时。
-10. 优化 - 自动给 assistant 空 content，补充 null，同时合并连续的 text assistant，避免部分模型抛错。
-11. 优化 - 调整图片 Host， 取消上传时补充 FE_DOMAIN，改成发送对话前补充，避免替换域名后原图片无法正常使用。
-12. 修复 - 部分场景成员列表无法触底加载。
-13. 修复 - 工作流递归执行，部分条件下无法正常运行。
+2. 新增 - 使用记录导出和仪表盘。
+3. 新增 - markdown 语法扩展，支持音视频（代码块 audio 和 video）。
+4. 优化 - 页面组件抽离，减少页面组件路由。
+5. 优化 - 全文检索，忽略大小写。
+6. 优化 - 问答生成和增强索引改成流输出，避免部分模型超时。
--- a/files/docker/docker-compose-milvus.yml
+++ b/files/docker/docker-compose-milvus.yml
@@ -114,15 +114,15 @@ services:
  # fastgpt
  sandbox:
    container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.8.20-fix # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.20-fix # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.8.17 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.17 # 阿里云
    networks:
      - fastgpt
    restart: always
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.20-fix # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.20-fix # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.17 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.17 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/files/docker/docker-compose-pgvector.yml
+++ b/files/docker/docker-compose-pgvector.yml
@@ -72,15 +72,15 @@ services:
  # fastgpt
  sandbox:
    container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.8.20-fix # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.20-fix # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.8.17 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.17 # 阿里云
    networks:
      - fastgpt
    restart: always
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.20-fix # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.20-fix # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.17 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.17 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/files/docker/docker-compose-zilliz.yml
+++ b/files/docker/docker-compose-zilliz.yml
@@ -53,15 +53,15 @@ services:
        wait $$!
  sandbox:
    container_name: sandbox
-    image: ghcr.io/labring/fastgpt-sandbox:v4.8.20-fix # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.20-fix # 阿里云
+    image: ghcr.io/labring/fastgpt-sandbox:v4.8.17 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.8.17 # 阿里云
    networks:
      - fastgpt
    restart: always
  fastgpt:
    container_name: fastgpt
-    image: ghcr.io/labring/fastgpt:v4.8.20-fix # git
-    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.20-fix # 阿里云
+    image: ghcr.io/labring/fastgpt:v4.8.17 # git
+    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.17 # 阿里云
    ports:
      - 3000:3000
    networks:
--- a/packages/global/core/ai/model.d.ts
+++ b/packages/global/core/ai/model.d.ts
@@ -29,11 +29,10 @@ export type LLMModelItemType = PriceType &
    maxContext: number;
    maxResponse: number;
    quoteMaxToken: number;
-    maxTemperature?: number;
+    maxTemperature: number;

    censor?: boolean;
    vision?: boolean;
-    reasoning?: boolean;

    // diff function model
    datasetProcess?: boolean; // dataset
--- a/packages/global/core/ai/model.ts
+++ b/packages/global/core/ai/model.ts
@@ -61,9 +61,6 @@ export const getModelFromList = (
  model: string
 ) => {
  const modelData = modelList.find((item) => item.model === model) ?? modelList[0];
-  if (!modelData) {
-    throw new Error('No Key model is configured');
-  }
  const provider = getModelProvider(modelData.provider);
  return {
    ...modelData,
--- a/packages/global/core/ai/provider.ts
+++ b/packages/global/core/ai/provider.ts
@@ -11,8 +11,8 @@ export type ModelProviderIdType =
  | 'AliCloud'
  | 'Qwen'
  | 'Doubao'
-  | 'DeepSeek'
  | 'ChatGLM'
+  | 'DeepSeek'
  | 'Ernie'
  | 'Moonshot'
  | 'MiniMax'
--- a/packages/global/core/app/type.d.ts
+++ b/packages/global/core/app/type.d.ts
@@ -80,7 +80,6 @@ export type AppSimpleEditFormType = {
    maxToken?: number;
    isResponseAnswerText: boolean;
    maxHistories: number;
-    [NodeInputKeyEnum.aiChatReasoning]?: boolean;
  };
  dataset: {
    datasets: SelectedDatasetType;
@@ -118,7 +117,6 @@ export type SettingAIDataType = {
  isResponseAnswerText?: boolean;
  maxHistories?: number;
  [NodeInputKeyEnum.aiChatVision]?: boolean; // Is open vision mode
-  [NodeInputKeyEnum.aiChatReasoning]?: boolean; // Is open reasoning mode
 };

 // variable
--- a/packages/global/core/app/utils.ts
+++ b/packages/global/core/app/utils.ts
@@ -16,8 +16,7 @@ export const getDefaultAppForm = (): AppSimpleEditFormType => {
      temperature: 0,
      isResponseAnswerText: true,
      maxHistories: 6,
-      maxToken: 4000,
-      aiChatReasoning: true
+      maxToken: 4000
    },
    dataset: {
      datasets: [],
--- a/packages/global/core/chat/constants.ts
+++ b/packages/global/core/chat/constants.ts
@@ -25,8 +25,7 @@ export enum ChatItemValueTypeEnum {
  text = 'text',
  file = 'file',
  tool = 'tool',
-  interactive = 'interactive',
-  reasoning = 'reasoning'
+  interactive = 'interactive'
 }

 export enum ChatSourceEnum {
--- a/packages/global/core/chat/type.d.ts
+++ b/packages/global/core/chat/type.d.ts
@@ -70,23 +70,14 @@ export type SystemChatItemType = {
  obj: ChatRoleEnum.System;
  value: SystemChatItemValueItemType[];
 };
-
 export type AIChatItemValueItemType = {
-  type:
-    | ChatItemValueTypeEnum.text
-    | ChatItemValueTypeEnum.reasoning
-    | ChatItemValueTypeEnum.tool
-    | ChatItemValueTypeEnum.interactive;
+  type: ChatItemValueTypeEnum.text | ChatItemValueTypeEnum.tool | ChatItemValueTypeEnum.interactive;
  text?: {
    content: string;
  };
-  reasoning?: {
-    content: string;
-  };
  tools?: ToolModuleResponseItemType[];
  interactive?: WorkflowInteractiveResponseType;
 };
-
 export type AIChatItemType = {
  obj: ChatRoleEnum.AI;
  value: AIChatItemValueItemType[];
--- a/packages/global/core/workflow/constants.ts
+++ b/packages/global/core/workflow/constants.ts
@@ -141,7 +141,6 @@ export enum NodeInputKeyEnum {
  aiChatDatasetQuote = 'quoteQA',
  aiChatVision = 'aiChatVision',
  stringQuoteText = 'stringQuoteText',
-  aiChatReasoning = 'aiChatReasoning',

  // dataset
  datasetSelectList = 'datasets',
@@ -221,8 +220,7 @@ export enum NodeOutputKeyEnum {
  // common
  userChatInput = 'userChatInput',
  history = 'history',
-  answerText = 'answerText', // node answer. the value will be show and save to history
-  reasoningText = 'reasoningText', // node reasoning. the value will be show but not save to history
+  answerText = 'answerText', // module answer. the value will be show and save to history
  success = 'success',
  failed = 'failed',
  error = 'error',
--- a/packages/global/core/workflow/runtime/type.d.ts
+++ b/packages/global/core/workflow/runtime/type.d.ts
@@ -220,7 +220,6 @@ export type AIChatNodeProps = {
  [NodeInputKeyEnum.aiChatMaxToken]?: number;
  [NodeInputKeyEnum.aiChatIsResponseText]: boolean;
  [NodeInputKeyEnum.aiChatVision]?: boolean;
-  [NodeInputKeyEnum.aiChatReasoning]?: boolean;

  [NodeInputKeyEnum.aiChatQuoteRole]?: AiChatQuoteRoleType;
  [NodeInputKeyEnum.aiChatQuoteTemplate]?: string;
--- a/packages/global/core/workflow/runtime/utils.ts
+++ b/packages/global/core/workflow/runtime/utils.ts
@@ -364,14 +364,12 @@ export function replaceEditorVariable({

 export const textAdaptGptResponse = ({
  text,
-  reasoning_content,
  model = '',
  finish_reason = null,
  extraData = {}
 }: {
  model?: string;
-  text?: string | null;
-  reasoning_content?: string | null;
+  text: string | null;
  finish_reason?: null | 'stop';
  extraData?: Object;
 }) => {
@@ -383,11 +381,10 @@ export const textAdaptGptResponse = ({
    model,
    choices: [
      {
-        delta: {
-          role: ChatCompletionRequestMessageRoleEnum.Assistant,
-          content: text,
-          ...(reasoning_content && { reasoning_content })
-        },
+        delta:
+          text === null
+            ? {}
+            : { role: ChatCompletionRequestMessageRoleEnum.Assistant, content: text },
        index: 0,
        finish_reason
      }
--- a/packages/global/core/workflow/template/system/aiChat/index.ts
+++ b/packages/global/core/workflow/template/system/aiChat/index.ts
@@ -63,14 +63,14 @@ export const AiChatModule: FlowNodeTemplateType = {
      key: NodeInputKeyEnum.aiChatTemperature,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
+      value: 0,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
      key: NodeInputKeyEnum.aiChatMaxToken,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
+      value: 2000,
      valueType: WorkflowIOValueTypeEnum.number
    },

@@ -91,13 +91,6 @@ export const AiChatModule: FlowNodeTemplateType = {
      valueType: WorkflowIOValueTypeEnum.boolean,
      value: true
    },
-    {
-      key: NodeInputKeyEnum.aiChatReasoning,
-      renderTypeList: [FlowNodeInputTypeEnum.hidden],
-      label: '',
-      valueType: WorkflowIOValueTypeEnum.boolean,
-      value: true
-    },
    // settings modal ---
    {
      ...Input_Template_System_Prompt,
--- a/packages/global/core/workflow/template/system/tools.ts
+++ b/packages/global/core/workflow/template/system/tools.ts
@@ -43,14 +43,14 @@ export const ToolModule: FlowNodeTemplateType = {
      key: NodeInputKeyEnum.aiChatTemperature,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
+      value: 0,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
      key: NodeInputKeyEnum.aiChatMaxToken,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
+      value: 2000,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
--- a/packages/plugins/package.json
+++ b/packages/plugins/package.json
@@ -10,7 +10,6 @@
    "echarts": "5.4.1",
    "expr-eval": "^2.0.2",
    "lodash": "^4.17.21",
-    "mssql": "^11.0.1",
    "mysql2": "^3.11.3",
    "json5": "^2.2.3",
    "pg": "^8.10.0",
--- a/packages/plugins/src/databaseConnection/index.ts
+++ b/packages/plugins/src/databaseConnection/index.ts
@@ -1,6 +1,5 @@
 import { Client as PgClient } from 'pg'; // PostgreSQL 客户端
 import mysql from 'mysql2/promise'; // MySQL 客户端
-import mssql from 'mssql'; // SQL Server 客户端

 type Props = {
  databaseType: string;
@@ -53,20 +52,6 @@ const main = async ({
      const [rows] = await connection.execute(sql);
      result = rows;
      await connection.end();
-    } else if (databaseType === 'Microsoft SQL Server') {
-      const pool = await mssql.connect({
-        server: host,
-        port: parseInt(port, 10),
-        database: databaseName,
-        user,
-        password,
-        options: {
-          trustServerCertificate: true
-        }
-      });
-
-      result = await pool.query(sql);
-      await pool.close();
    }
    return {
      result
--- a/packages/plugins/src/databaseConnection/template.json
+++ b/packages/plugins/src/databaseConnection/template.json
@@ -42,10 +42,6 @@
              {
                "label": "PostgreSQL",
                "value": "PostgreSQL"
-              },
-              {
-                "label": "Microsoft SQL Server",
-                "value": "Microsoft SQL Server"
              }
            ],
            "required": true
--- a/packages/service/common/file/image/controller.ts
+++ b/packages/service/common/file/image/controller.ts
@@ -40,7 +40,7 @@ export async function uploadMongoImg({
    expiredTime: forever ? undefined : addHours(new Date(), 1)
  });

-  return `${process.env.NEXT_PUBLIC_BASE_URL || ''}${imageBaseUrl}${String(_id)}.${extension}`;
+  return `${process.env.FE_DOMAIN || ''}${process.env.NEXT_PUBLIC_BASE_URL || ''}${imageBaseUrl}${String(_id)}.${extension}`;
 }

 const getIdFromPath = (path?: string) => {
--- a/packages/service/common/mongo/index.ts
+++ b/packages/service/common/mongo/index.ts
@@ -63,13 +63,6 @@ export const getMongoModel = <T>(name: string, schema: mongoose.Schema) => {

  const model = connectionMongo.model<T>(name, schema);

-  // Sync index
-  syncMongoIndex(model);
-
-  return model;
-};
-
-const syncMongoIndex = async (model: Model<any>) => {
  if (process.env.SYNC_INDEX !== '0' && process.env.NODE_ENV !== 'test') {
    try {
      model.syncIndexes({ background: true });
@@ -77,6 +70,8 @@ const syncMongoIndex = async (model: Model<any>) => {
      addLog.error('Create index error', error);
    }
  }
+
+  return model;
 };

 export const ReadPreference = connectionMongo.mongo.ReadPreference;
--- a/packages/service/core/ai/audio/transcriptions.ts
+++ b/packages/service/core/ai/audio/transcriptions.ts
@@ -24,7 +24,7 @@ export const aiTranscriptions = async ({
      ? { url: modelData.requestUrl }
      : {
          baseURL: aiAxiosConfig.baseUrl,
-          url: '/audio/transcriptions'
+          url: modelData.requestUrl || '/audio/transcriptions'
        }),
    headers: {
      Authorization: modelData.requestAuth
--- a/packages/service/core/ai/config/provider/DeepSeek.json
+++ b/packages/service/core/ai/config/provider/DeepSeek.json
@@ -27,9 +27,8 @@
      "maxContext": 64000,
      "maxResponse": 4096,
      "quoteMaxToken": 60000,
-      "maxTemperature": null,
+      "maxTemperature": 1.5,
      "vision": false,
-      "reasoning": true,
      "toolChoice": false,
      "functionCall": false,
      "defaultSystemChatPrompt": "",
@@ -40,9 +39,11 @@
      "usedInQueryExtension": true,
      "customExtractPrompt": "",
      "usedInToolCall": true,
-      "defaultConfig": {},
+      "defaultConfig": {
+        "temperature": null
+      },
      "fieldMap": {},
      "type": "llm"
    }
  ]
-}
+}
--- a/packages/service/core/ai/config/provider/OpenAI.json
+++ b/packages/service/core/ai/config/provider/OpenAI.json
@@ -44,42 +44,16 @@
      "fieldMap": {},
      "type": "llm"
    },
-    {
-      "model": "o3-mini",
-      "name": "o3-mini",
-      "maxContext": 200000,
-      "maxResponse": 100000,
-      "quoteMaxToken": 120000,
-      "maxTemperature": null,
-      "vision": false,
-      "toolChoice": true,
-      "functionCall": false,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "usedInQueryExtension": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {
-        "stream": false
-      },
-      "fieldMap": {
-        "max_tokens": "max_completion_tokens"
-      },
-      "type": "llm"
-    },
    {
      "model": "o1-mini",
      "name": "o1-mini",
      "maxContext": 128000,
      "maxResponse": 4000,
      "quoteMaxToken": 120000,
-      "maxTemperature": null,
+      "maxTemperature": 1.2,
      "vision": false,
      "toolChoice": false,
-      "functionCall": false,
+      "functionCall": true,
      "defaultSystemChatPrompt": "",
      "datasetProcess": true,
      "usedInClassify": true,
@@ -89,36 +63,8 @@
      "customExtractPrompt": "",
      "usedInToolCall": true,
      "defaultConfig": {
-        "stream": false
-      },
-      "fieldMap": {
-        "max_tokens": "max_completion_tokens"
-      },
-      "type": "llm"
-    },
-    {
-      "model": "o1",
-      "name": "o1",
-      "maxContext": 195000,
-      "maxResponse": 8000,
-      "quoteMaxToken": 120000,
-      "maxTemperature": null,
-      "vision": true,
-      "toolChoice": false,
-      "functionCall": false,
-      "defaultSystemChatPrompt": "",
-      "datasetProcess": true,
-      "usedInClassify": true,
-      "customCQPrompt": "",
-      "usedInExtractFields": true,
-      "usedInQueryExtension": true,
-      "customExtractPrompt": "",
-      "usedInToolCall": true,
-      "defaultConfig": {
-        "stream": false
-      },
-      "fieldMap": {
-        "max_tokens": "max_completion_tokens"
+        "temperature": 1,
+        "max_tokens": null
      },
      "type": "llm"
    },
@@ -128,10 +74,10 @@
      "maxContext": 128000,
      "maxResponse": 4000,
      "quoteMaxToken": 120000,
-      "maxTemperature": null,
+      "maxTemperature": 1.2,
      "vision": false,
      "toolChoice": false,
-      "functionCall": false,
+      "functionCall": true,
      "defaultSystemChatPrompt": "",
      "datasetProcess": true,
      "usedInClassify": true,
@@ -141,10 +87,34 @@
      "customExtractPrompt": "",
      "usedInToolCall": true,
      "defaultConfig": {
+        "temperature": 1,
+        "max_tokens": null,
        "stream": false
      },
-      "fieldMap": {
-        "max_tokens": "max_completion_tokens"
+      "type": "llm"
+    },
+    {
+      "model": "o1",
+      "name": "o1",
+      "maxContext": 195000,
+      "maxResponse": 8000,
+      "quoteMaxToken": 120000,
+      "maxTemperature": 1.2,
+      "vision": false,
+      "toolChoice": false,
+      "functionCall": true,
+      "defaultSystemChatPrompt": "",
+      "datasetProcess": true,
+      "usedInClassify": true,
+      "customCQPrompt": "",
+      "usedInExtractFields": true,
+      "usedInQueryExtension": true,
+      "customExtractPrompt": "",
+      "usedInToolCall": true,
+      "defaultConfig": {
+        "temperature": 1,
+        "max_tokens": null,
+        "stream": false
      },
      "type": "llm"
    },
--- a/packages/service/core/ai/config/utils.ts
+++ b/packages/service/core/ai/config/utils.ts
@@ -11,11 +11,7 @@ import {
  ReRankModelItemType
 } from '@fastgpt/global/core/ai/model.d';
 import { debounce } from 'lodash';
-import {
-  getModelProvider,
-  ModelProviderIdType,
-  ModelProviderType
-} from '@fastgpt/global/core/ai/provider';
+import { ModelProviderType } from '@fastgpt/global/core/ai/provider';
 import { findModelFromAlldata } from '../model';
 import {
  reloadFastGPTConfigBuffer,
@@ -95,7 +91,7 @@ export const loadSystemModels = async (init = false) => {
    await Promise.all(
      providerList.map(async (name) => {
        const fileContent = (await import(`./provider/${name}`))?.default as {
-          provider: ModelProviderIdType;
+          provider: ModelProviderType;
          list: SystemModelItemType[];
        };

@@ -105,7 +101,7 @@ export const loadSystemModels = async (init = false) => {
          const modelData: any = {
            ...fileModel,
            ...dbModel?.metadata,
-            provider: getModelProvider(dbModel?.metadata?.provider || fileContent.provider).id,
+            provider: dbModel?.metadata?.provider || fileContent.provider,
            type: dbModel?.metadata?.type || fileModel.type,
            isCustom: false
          };
--- a/packages/service/core/ai/embedding/index.ts
+++ b/packages/service/core/ai/embedding/index.ts
@@ -32,14 +32,12 @@ export async function getVectorsByText({ model, input, type }: GetVectorProps) {
          model: model.model,
          input: [input]
        },
-        model.requestUrl
+        model.requestUrl && model.requestAuth
          ? {
              path: model.requestUrl,
-              headers: model.requestAuth
-                ? {
-                    Authorization: `Bearer ${model.requestAuth}`
-                  }
-                : undefined
+              headers: {
+                Authorization: `Bearer ${model.requestAuth}`
+              }
            }
          : {}
      )
--- a/packages/service/core/ai/functions/queryExtension.ts
+++ b/packages/service/core/ai/functions/queryExtension.ts
@@ -2,12 +2,10 @@ import { replaceVariable } from '@fastgpt/global/common/string/tools';
 import { createChatCompletion } from '../config';
 import { ChatItemType } from '@fastgpt/global/core/chat/type';
 import { countGptMessagesTokens, countPromptTokens } from '../../../common/string/tiktoken/index';
-import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
+import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
 import { getLLMModel } from '../model';
 import { llmCompletionsBodyFormat } from '../utils';
 import { addLog } from '../../../common/system/log';
-import { filterGPTMessageByMaxContext } from '../../chat/utils';
-import json5 from 'json5';

 /* 
    query extension - 问题扩展
@@ -15,73 +13,72 @@ import json5 from 'json5';
 */

 const title = global.feConfigs?.systemTitle || 'FastAI';
-const defaultPrompt = `## 你的任务
-你作为一个向量检索助手，你的任务是结合历史记录，从不同角度，为“原问题”生成个不同版本的“检索词”，从而提高向量检索的语义丰富度，提高向量检索的精度。
+const defaultPrompt = `作为一个向量检索助手，你的任务是结合历史记录，从不同角度，为“原问题”生成个不同版本的“检索词”，从而提高向量检索的语义丰富度，提高向量检索的精度。
 生成的问题要求指向对象清晰明确，并与“原问题语言相同”。

-## 参考示例
+参考 <Example></Example> 标中的示例来完成任务。

+<Example>
 历史记录: 
 """
-null
 """
 原问题: 介绍下剧情。
 检索词: ["介绍下故事的背景。","故事的主题是什么？","介绍下故事的主要人物。"]
 ----------------
 历史记录: 
 """
-user: 对话背景。
-assistant: 当前对话是关于 Nginx 的介绍和使用等。
+Q: 对话背景。
+A: 当前对话是关于 Nginx 的介绍和使用等。
 """
 原问题: 怎么下载
 检索词: ["Nginx 如何下载？","下载 Nginx 需要什么条件？","有哪些渠道可以下载 Nginx？"]
 ----------------
 历史记录: 
 """
-user: 对话背景。
-assistant: 当前对话是关于 Nginx 的介绍和使用等。
-user: 报错 "no connection"
-assistant: 报错"no connection"可能是因为……
+Q: 对话背景。
+A: 当前对话是关于 Nginx 的介绍和使用等。
+Q: 报错 "no connection"
+A: 报错"no connection"可能是因为……
 """
 原问题: 怎么解决
 检索词: ["Nginx报错"no connection"如何解决？","造成'no connection'报错的原因。","Nginx提示'no connection'，要怎么办？"]
 ----------------
 历史记录: 
 """
-user: How long is the maternity leave?
-assistant: The number of days of maternity leave depends on the city in which the employee is located. Please provide your city so that I can answer your questions.
+Q: 护产假多少天?
+A: 护产假的天数根据员工所在的城市而定。请提供您所在的城市，以便我回答您的问题。
 """
-原问题: ShenYang
-检索词: ["How many days is maternity leave in Shenyang?","Shenyang's maternity leave policy.","The standard of maternity leave in Shenyang."]
+原问题: 沈阳
+检索词: ["沈阳的护产假多少天？","沈阳的护产假政策。","沈阳的护产假标准。"]
 ----------------
 历史记录: 
 """
-user: 作者是谁？
-assistant: ${title} 的作者是 labring。
+Q: 作者是谁？
+A: ${title} 的作者是 labring。
 """
 原问题: Tell me about him
 检索词: ["Introduce labring, the author of ${title}." ," Background information on author labring." "," Why does labring do ${title}?"]
 ----------------
 历史记录:
 """
-user: 对话背景。
-assistant: 关于 ${title} 的介绍和使用等问题。
+Q: 对话背景。
+A: 关于 ${title} 的介绍和使用等问题。
 """
 原问题: 你好。
 检索词: ["你好"]
 ----------------
 历史记录:
 """
-user: ${title} 如何收费？
-assistant: ${title} 收费可以参考……
+Q: ${title} 如何收费？
+A: ${title} 收费可以参考……
 """
 原问题: 你知道 laf 么？
 检索词: ["laf 的官网地址是多少？","laf 的使用教程。","laf 有什么特点和优势。"]
 ----------------
 历史记录:
 """
-user: ${title} 的优势
-assistant: 1. 开源
+Q: ${title} 的优势
+A: 1. 开源
   2. 简便
   3. 扩展性强
 """
@@ -90,20 +87,18 @@ assistant: 1. 开源
 ----------------
 历史记录:
 """
-user: 什么是 ${title}？
-assistant: ${title} 是一个 RAG 平台。
-user: 什么是 Laf？
-assistant: Laf 是一个云函数开发平台。
+Q: 什么是 ${title}？
+A: ${title} 是一个 RAG 平台。
+Q: 什么是 Laf？
+A: Laf 是一个云函数开发平台。
 """
 原问题: 它们有什么关系？
 检索词: ["${title}和Laf有什么关系？","介绍下${title}","介绍下Laf"]
+</Example>

-## 输出要求
+-----

-1. 输出格式为 JSON 数组，数组中每个元素为字符串。无需对输出进行任何解释。
-2. 输出语言与原问题相同。原问题为中文则输出中文；原问题为英文则输出英文。
-
-## 开始任务
+下面是正式的任务：

 历史记录:
 """
@@ -130,39 +125,26 @@ export const queryExtension = async ({
  outputTokens: number;
 }> => {
  const systemFewShot = chatBg
-    ? `user: 对话背景。
-assistant: ${chatBg}
+    ? `Q: 对话背景。
+A: ${chatBg}
 `
    : '';
-
-  const modelData = getLLMModel(model);
-  const filterHistories = await filterGPTMessageByMaxContext({
-    messages: chats2GPTMessages({ messages: histories, reserveId: false }),
-    maxContext: modelData.maxContext - 1000
-  });
-
-  const historyFewShot = filterHistories
+  const historyFewShot = histories
    .map((item) => {
-      const role = item.role;
-      const content = item.content;
-      if ((role === 'user' || role === 'assistant') && content) {
-        if (typeof content === 'string') {
-          return `${role}: ${content}`;
-        } else {
-          return `${role}: ${content.map((item) => (item.type === 'text' ? item.text : '')).join('\n')}`;
-        }
-      }
+      const role = item.obj === 'Human' ? 'Q' : 'A';
+      return `${role}: ${chatValue2RuntimePrompt(item.value).text}`;
    })
-    .filter(Boolean)
    .join('\n');
  const concatFewShot = `${systemFewShot}${historyFewShot}`.trim();

+  const modelData = getLLMModel(model);
+
  const messages = [
    {
      role: 'user',
      content: replaceVariable(defaultPrompt, {
        query: `${query}`,
-        histories: concatFewShot || 'null'
+        histories: concatFewShot
      })
    }
  ] as any;
@@ -172,7 +154,7 @@ assistant: ${chatBg}
      {
        stream: false,
        model: modelData.model,
-        temperature: 0.1,
+        temperature: 0.01,
        messages
      },
      modelData
@@ -190,41 +172,22 @@ assistant: ${chatBg}
    };
  }

-  const start = answer.indexOf('[');
-  const end = answer.lastIndexOf(']');
-  if (start === -1 || end === -1) {
-    addLog.warn('Query extension failed, not a valid JSON', {
-      answer
-    });
-    return {
-      rawQuery: query,
-      extensionQueries: [],
-      model,
-      inputTokens: 0,
-      outputTokens: 0
-    };
-  }
-
  // Intercept the content of [] and retain []
-  const jsonStr = answer
-    .substring(start, end + 1)
-    .replace(/(\\n|\\)/g, '')
-    .replace(/  /g, '');
+  answer = answer.match(/\[.*?\]/)?.[0] || '';
+  answer = answer.replace(/\\"/g, '"');

  try {
-    const queries = json5.parse(jsonStr) as string[];
+    const queries = JSON.parse(answer) as string[];

    return {
      rawQuery: query,
-      extensionQueries: (Array.isArray(queries) ? queries : []).slice(0, 5),
+      extensionQueries: Array.isArray(queries) ? queries : [],
      model,
      inputTokens: await countGptMessagesTokens(messages),
      outputTokens: await countPromptTokens(answer)
    };
  } catch (error) {
-    addLog.warn('Query extension failed, not a valid JSON', {
-      answer
-    });
+    addLog.error(`Query extension error`, error);
    return {
      rawQuery: query,
      extensionQueries: [],
--- a/packages/service/core/ai/rerank/index.ts
+++ b/packages/service/core/ai/rerank/index.ts
@@ -26,7 +26,7 @@ export function reRankRecall({
    return Promise.reject('no rerank model');
  }

-  const { baseUrl, authorization } = getAxiosConfig();
+  const { baseUrl, authorization } = getAxiosConfig({});

  let start = Date.now();
  return POST<PostReRankResponse>(
@@ -38,7 +38,7 @@ export function reRankRecall({
    },
    {
      headers: {
-        Authorization: model.requestAuth ? `Bearer ${model.requestAuth}` : authorization
+        Authorization: model.requestAuth ? model.requestAuth : authorization
      },
      timeout: 30000
    }
--- a/packages/service/core/ai/utils.ts
+++ b/packages/service/core/ai/utils.ts
@@ -2,23 +2,33 @@ import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import {
  ChatCompletionCreateParamsNonStreaming,
  ChatCompletionCreateParamsStreaming,
+  ChatCompletionMessageParam,
  StreamChatType
 } from '@fastgpt/global/core/ai/type';
+import { countGptMessagesTokens } from '../../common/string/tiktoken';
 import { getLLMModel } from './model';

-/* 
-  Count response max token
-*/
-export const computedMaxToken = ({
+export const computedMaxToken = async ({
  maxToken,
-  model
+  model,
+  filterMessages = []
 }: {
  maxToken?: number;
  model: LLMModelItemType;
+  filterMessages: ChatCompletionMessageParam[];
 }) => {
  if (maxToken === undefined) return;

  maxToken = Math.min(maxToken, model.maxResponse);
+  const tokensLimit = model.maxContext;
+
+  /* count response max token */
+  const promptsToken = await countGptMessagesTokens(filterMessages);
+  maxToken = promptsToken + maxToken > tokensLimit ? tokensLimit - promptsToken : maxToken;
+
+  if (maxToken <= 0) {
+    maxToken = 200;
+  }
  return maxToken;
 };

@@ -30,7 +40,6 @@ export const computedTemperature = ({
  model: LLMModelItemType;
  temperature: number;
 }) => {
-  if (typeof model.maxTemperature !== 'number') return undefined;
  temperature = +(model.maxTemperature * (temperature / 10)).toFixed(2);
  temperature = Math.max(temperature, 0.01);

--- a/packages/service/core/chat/utils.ts
+++ b/packages/service/core/chat/utils.ts
@@ -1,9 +1,6 @@
 import { countGptMessagesTokens } from '../../common/string/tiktoken/index';
 import type {
-  ChatCompletionAssistantMessageParam,
  ChatCompletionContentPart,
-  ChatCompletionContentPartRefusal,
-  ChatCompletionContentPartText,
  ChatCompletionMessageParam,
  SdkChatCompletionMessageParam
 } from '@fastgpt/global/core/ai/type.d';
@@ -14,19 +11,36 @@ import { serverRequestBaseUrl } from '../../common/api/serverRequest';
 import { i18nT } from '../../../web/i18n/utils';
 import { addLog } from '../../common/system/log';

-export const filterGPTMessageByMaxContext = async ({
+export const filterGPTMessageByMaxTokens = async ({
  messages = [],
-  maxContext
+  maxTokens
 }: {
  messages: ChatCompletionMessageParam[];
-  maxContext: number;
+  maxTokens: number;
 }) => {
  if (!Array.isArray(messages)) {
    return [];
  }
+  const rawTextLen = messages.reduce((sum, item) => {
+    if (typeof item.content === 'string') {
+      return sum + item.content.length;
+    }
+    if (Array.isArray(item.content)) {
+      return (
+        sum +
+        item.content.reduce((sum, item) => {
+          if (item.type === 'text') {
+            return sum + item.text.length;
+          }
+          return sum;
+        }, 0)
+      );
+    }
+    return sum;
+  }, 0);

  // If the text length is less than half of the maximum token, no calculation is required
-  if (messages.length < 4) {
+  if (rawTextLen < maxTokens * 0.5) {
    return messages;
  }

@@ -38,7 +52,7 @@ export const filterGPTMessageByMaxContext = async ({
  const chatPrompts: ChatCompletionMessageParam[] = messages.slice(chatStartIndex);

  // reduce token of systemPrompt
-  maxContext -= await countGptMessagesTokens(systemPrompts);
+  maxTokens -= await countGptMessagesTokens(systemPrompts);

  // Save the last chat prompt(question)
  const question = chatPrompts.pop();
@@ -56,9 +70,9 @@ export const filterGPTMessageByMaxContext = async ({
    }

    const tokens = await countGptMessagesTokens([assistant, user]);
-    maxContext -= tokens;
+    maxTokens -= tokens;
    /* 整体 tokens 超出范围，截断  */
-    if (maxContext < 0) {
+    if (maxTokens < 0) {
      break;
    }

@@ -88,327 +102,223 @@ export const loadRequestMessages = async ({
  useVision?: boolean;
  origin?: string;
 }) => {
-  const replaceLinkUrl = (text: string) => {
-    const baseURL = process.env.FE_DOMAIN;
-    if (!baseURL) return text;
-    // 匹配 /api/system/img/xxx.xx 的图片链接，并追加 baseURL
-    return text.replace(
-      /(?<!https?:\/\/[^\s]*)(?:\/api\/system\/img\/[^\s.]*\.[^\s]*)/g,
-      (match) => `${baseURL}${match}`
-    );
+  // Load image to base64
+  const loadImageToBase64 = async (messages: ChatCompletionContentPart[]) => {
+    return Promise.all(
+      messages.map(async (item) => {
+        if (item.type === 'image_url') {
+          // Remove url origin
+          const imgUrl = (() => {
+            if (origin && item.image_url.url.startsWith(origin)) {
+              return item.image_url.url.replace(origin, '');
+            }
+            return item.image_url.url;
+          })();
+
+          // base64 image
+          if (imgUrl.startsWith('data:image/')) {
+            return item;
+          }
+
+          try {
+            // If imgUrl is a local path, load image from local, and set url to base64
+            if (imgUrl.startsWith('/') || process.env.MULTIPLE_DATA_TO_BASE64 === 'true') {
+              addLog.debug('Load image from local server', {
+                baseUrl: serverRequestBaseUrl,
+                requestUrl: imgUrl
+              });
+              const response = await axios.get(imgUrl, {
+                baseURL: serverRequestBaseUrl,
+                responseType: 'arraybuffer',
+                proxy: false
+              });
+              const base64 = Buffer.from(response.data, 'binary').toString('base64');
+              const imageType =
+                getFileContentTypeFromHeader(response.headers['content-type']) ||
+                guessBase64ImageType(base64);
+
+              return {
+                ...item,
+                image_url: {
+                  ...item.image_url,
+                  url: `data:${imageType};base64,${base64}`
+                }
+              };
+            }
+
+            // 检查下这个图片是否可以被访问，如果不行的话，则过滤掉
+            const response = await axios.head(imgUrl, {
+              timeout: 10000
+            });
+            if (response.status < 200 || response.status >= 400) {
+              addLog.info(`Filter invalid image: ${imgUrl}`);
+              return;
+            }
+          } catch (error) {
+            return;
+          }
+        }
+        return item;
+      })
+    ).then((res) => res.filter(Boolean) as ChatCompletionContentPart[]);
  };
-  const parseSystemMessage = (
-    content: string | ChatCompletionContentPartText[]
-  ): string | ChatCompletionContentPartText[] | undefined => {
-    if (typeof content === 'string') {
-      if (!content) return;
-      return replaceLinkUrl(content);
+  // Split question text and image
+  const parseStringWithImages = (input: string): ChatCompletionContentPart[] => {
+    if (!useVision || input.length > 500) {
+      return [{ type: 'text', text: input || '' }];
    }

-    const arrayContent = content
-      .filter((item) => item.text)
-      .map((item) => ({ ...item, text: replaceLinkUrl(item.text) }));
-    if (arrayContent.length === 0) return;
-    return arrayContent;
+    // 正则表达式匹配图片URL
+    const imageRegex =
+      /(https?:\/\/[^\s/$.?#].[^\s]*\.(?:png|jpe?g|gif|webp|bmp|tiff?|svg|ico|heic|avif))/gi;
+
+    const result: ChatCompletionContentPart[] = [];
+
+    // 提取所有HTTPS图片URL并添加到result开头
+    const httpsImages = [...new Set(Array.from(input.matchAll(imageRegex), (m) => m[0]))];
+    httpsImages.forEach((url) => {
+      result.push({
+        type: 'image_url',
+        image_url: {
+          url: url
+        }
+      });
+    });
+
+    // Too many images return text
+    if (httpsImages.length > 4) {
+      return [{ type: 'text', text: input || '' }];
+    }
+
+    // 添加原始input作为文本
+    result.push({ type: 'text', text: input });
+    return result;
  };
  // Parse user content(text and img) Store history => api messages
  const parseUserContent = async (content: string | ChatCompletionContentPart[]) => {
-    // Split question text and image
-    const parseStringWithImages = (input: string): ChatCompletionContentPart[] => {
-      if (!useVision || input.length > 500) {
-        return [{ type: 'text', text: input }];
-      }
-
-      // 正则表达式匹配图片URL
-      const imageRegex =
-        /(https?:\/\/[^\s/$.?#].[^\s]*\.(?:png|jpe?g|gif|webp|bmp|tiff?|svg|ico|heic|avif))/gi;
-
-      const result: ChatCompletionContentPart[] = [];
-
-      // 提取所有HTTPS图片URL并添加到result开头
-      const httpsImages = [...new Set(Array.from(input.matchAll(imageRegex), (m) => m[0]))];
-      httpsImages.forEach((url) => {
-        result.push({
-          type: 'image_url',
-          image_url: {
-            url: url
-          }
-        });
-      });
-
-      // Too many images return text
-      if (httpsImages.length > 4) {
-        return [{ type: 'text', text: input }];
-      }
-
-      // 添加原始input作为文本
-      result.push({ type: 'text', text: input });
-      return result;
-    };
-    // Load image to base64
-    const loadUserContentImage = async (content: ChatCompletionContentPart[]) => {
-      return Promise.all(
-        content.map(async (item) => {
-          if (item.type === 'image_url') {
-            // Remove url origin
-            const imgUrl = (() => {
-              if (origin && item.image_url.url.startsWith(origin)) {
-                return item.image_url.url.replace(origin, '');
-              }
-              return item.image_url.url;
-            })();
-
-            // base64 image
-            if (imgUrl.startsWith('data:image/')) {
-              return item;
-            }
-
-            try {
-              // If imgUrl is a local path, load image from local, and set url to base64
-              if (imgUrl.startsWith('/') || process.env.MULTIPLE_DATA_TO_BASE64 === 'true') {
-                addLog.debug('Load image from local server', {
-                  baseUrl: serverRequestBaseUrl,
-                  requestUrl: imgUrl
-                });
-                const response = await axios.get(imgUrl, {
-                  baseURL: serverRequestBaseUrl,
-                  responseType: 'arraybuffer',
-                  proxy: false
-                });
-                const base64 = Buffer.from(response.data, 'binary').toString('base64');
-                const imageType =
-                  getFileContentTypeFromHeader(response.headers['content-type']) ||
-                  guessBase64ImageType(base64);
-
-                return {
-                  ...item,
-                  image_url: {
-                    ...item.image_url,
-                    url: `data:${imageType};base64,${base64}`
-                  }
-                };
-              }
-
-              // 检查下这个图片是否可以被访问，如果不行的话，则过滤掉
-              const response = await axios.head(imgUrl, {
-                timeout: 10000
-              });
-              if (response.status < 200 || response.status >= 400) {
-                addLog.info(`Filter invalid image: ${imgUrl}`);
-                return;
-              }
-            } catch (error) {
-              return;
-            }
-          }
-          return item;
-        })
-      ).then((res) => res.filter(Boolean) as ChatCompletionContentPart[]);
-    };
-
-    if (content === undefined) return;
    if (typeof content === 'string') {
-      if (content === '') return;
-
-      const loadImageContent = await loadUserContentImage(parseStringWithImages(content));
-      if (loadImageContent.length === 0) return;
-      return loadImageContent;
+      return loadImageToBase64(parseStringWithImages(content));
    }

-    const result = (
-      await Promise.all(
-        content.map(async (item) => {
-          if (item.type === 'text') {
-            if (item.text) return parseStringWithImages(item.text);
-            return;
-          }
-          if (item.type === 'file_url') return; // LLM not support file_url
-          if (item.type === 'image_url') {
-            // close vision, remove image_url
-            if (!useVision) return;
-            // remove empty image_url
-            if (!item.image_url.url) return;
+    const result = await Promise.all(
+      content.map(async (item) => {
+        if (item.type === 'text') return parseStringWithImages(item.text);
+        if (item.type === 'file_url') return; // LLM not support file_url
+
+        if (!item.image_url.url) return item;
+
+        return item;
+      })
+    );
+
+    return loadImageToBase64(result.flat().filter(Boolean) as ChatCompletionContentPart[]);
+  };
+
+  // format GPT messages, concat text messages
+  const clearInvalidMessages = (messages: ChatCompletionMessageParam[]) => {
+    return messages
+      .map((item) => {
+        if (item.role === ChatCompletionRequestMessageRoleEnum.System && !item.content) {
+          return;
+        }
+        if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
+          if (item.content === undefined) return;
+
+          if (typeof item.content === 'string') {
+            return {
+              ...item,
+              content: item.content.trim()
+            };
          }

-          return item;
-        })
-      )
-    )
-      .flat()
-      .filter(Boolean) as ChatCompletionContentPart[];
+          // array
+          if (item.content.length === 0) return;
+          if (item.content.length === 1 && item.content[0].type === 'text') {
+            return {
+              ...item,
+              content: item.content[0].text
+            };
+          }
+        }
+        if (item.role === ChatCompletionRequestMessageRoleEnum.Assistant) {
+          if (item.content === undefined && !item.tool_calls && !item.function_call) return;
+        }

-    const loadImageContent = await loadUserContentImage(result);
-
-    if (loadImageContent.length === 0) return;
-    return loadImageContent;
+        return item;
+      })
+      .filter(Boolean) as ChatCompletionMessageParam[];
  };
-
-  const formatAssistantItem = (item: ChatCompletionAssistantMessageParam) => {
-    return {
-      role: item.role,
-      content: item.content,
-      function_call: item.function_call,
-      name: item.name,
-      refusal: item.refusal,
-      tool_calls: item.tool_calls
-    };
-  };
-  const parseAssistantContent = (
-    content:
-      | string
-      | (ChatCompletionContentPartText | ChatCompletionContentPartRefusal)[]
-      | null
-      | undefined
-  ) => {
-    if (typeof content === 'string') {
-      return content || '';
-    }
-    // 交互节点
-    if (!content) return '';
-
-    const result = content.filter((item) => item?.type === 'text');
-    if (result.length === 0) return '';
-
-    return result.map((item) => item.text).join('\n');
-  };
-
-  if (messages.length === 0) {
-    return Promise.reject(i18nT('common:core.chat.error.Messages empty'));
-  }
-
-  // 合并相邻 role 的内容，只保留一个 role， content 变成数组。 assistant 的话，工具调用不合并。
-  const mergeMessages = ((messages: ChatCompletionMessageParam[]): ChatCompletionMessageParam[] => {
+  /* 
+    Merge data for some consecutive roles
+    1. Contiguous assistant and both have content, merge content
+  */
+  const mergeConsecutiveMessages = (
+    messages: ChatCompletionMessageParam[]
+  ): ChatCompletionMessageParam[] => {
    return messages.reduce((mergedMessages: ChatCompletionMessageParam[], currentMessage) => {
      const lastMessage = mergedMessages[mergedMessages.length - 1];

-      if (!lastMessage) {
-        return [currentMessage];
-      }
-
      if (
-        lastMessage.role === ChatCompletionRequestMessageRoleEnum.System &&
-        currentMessage.role === ChatCompletionRequestMessageRoleEnum.System
-      ) {
-        const lastContent: ChatCompletionContentPartText[] = Array.isArray(lastMessage.content)
-          ? lastMessage.content
-          : [{ type: 'text', text: lastMessage.content || '' }];
-        const currentContent: ChatCompletionContentPartText[] = Array.isArray(
-          currentMessage.content
-        )
-          ? currentMessage.content
-          : [{ type: 'text', text: currentMessage.content || '' }];
-        lastMessage.content = [...lastContent, ...currentContent];
-      } // Handle user messages
-      else if (
-        lastMessage.role === ChatCompletionRequestMessageRoleEnum.User &&
-        currentMessage.role === ChatCompletionRequestMessageRoleEnum.User
-      ) {
-        const lastContent: ChatCompletionContentPart[] = Array.isArray(lastMessage.content)
-          ? lastMessage.content
-          : [{ type: 'text', text: lastMessage.content }];
-        const currentContent: ChatCompletionContentPart[] = Array.isArray(currentMessage.content)
-          ? currentMessage.content
-          : [{ type: 'text', text: currentMessage.content }];
-        lastMessage.content = [...lastContent, ...currentContent];
-      } else if (
+        lastMessage &&
+        currentMessage.role === ChatCompletionRequestMessageRoleEnum.Assistant &&
        lastMessage.role === ChatCompletionRequestMessageRoleEnum.Assistant &&
-        currentMessage.role === ChatCompletionRequestMessageRoleEnum.Assistant
+        typeof lastMessage.content === 'string' &&
+        typeof currentMessage.content === 'string'
      ) {
-        // Content 不为空的对象，或者是交互节点
-        if (
-          (typeof lastMessage.content === 'string' ||
-            Array.isArray(lastMessage.content) ||
-            lastMessage.interactive) &&
-          (typeof currentMessage.content === 'string' ||
-            Array.isArray(currentMessage.content) ||
-            currentMessage.interactive)
-        ) {
-          const lastContent: (ChatCompletionContentPartText | ChatCompletionContentPartRefusal)[] =
-            Array.isArray(lastMessage.content)
-              ? lastMessage.content
-              : [{ type: 'text', text: lastMessage.content || '' }];
-          const currentContent: (
-            | ChatCompletionContentPartText
-            | ChatCompletionContentPartRefusal
-          )[] = Array.isArray(currentMessage.content)
-            ? currentMessage.content
-            : [{ type: 'text', text: currentMessage.content || '' }];
-
-          lastMessage.content = [...lastContent, ...currentContent];
-        } else {
-          // 有其中一个没有 content，说明不是连续的文本输出
-          mergedMessages.push(currentMessage);
-        }
+        lastMessage.content += currentMessage ? `\n${currentMessage.content}` : '';
      } else {
        mergedMessages.push(currentMessage);
      }

      return mergedMessages;
    }, []);
-  })(messages);
+  };

-  const loadMessages = (
-    await Promise.all(
-      mergeMessages.map(async (item, i) => {
-        if (item.role === ChatCompletionRequestMessageRoleEnum.System) {
-          const content = parseSystemMessage(item.content);
-          if (!content) return;
-          return {
-            ...item,
-            content
-          };
-        } else if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
-          const content = await parseUserContent(item.content);
-          if (!content) {
-            return {
-              ...item,
-              content: 'null'
-            };
-          }
+  if (messages.length === 0) {
+    return Promise.reject(i18nT('common:core.chat.error.Messages empty'));
+  }

-          const formatContent = (() => {
-            if (Array.isArray(content) && content.length === 1 && content[0].type === 'text') {
-              return content[0].text;
-            }
-            return content;
-          })();
+  // filter messages file
+  const filterMessages = messages.map((item) => {
+    // If useVision=false, only retain text.
+    if (
+      item.role === ChatCompletionRequestMessageRoleEnum.User &&
+      Array.isArray(item.content) &&
+      !useVision
+    ) {
+      return {
+        ...item,
+        content: item.content.filter((item) => item.type === 'text')
+      };
+    }

-          return {
-            ...item,
-            content: formatContent
-          };
-        } else if (item.role === ChatCompletionRequestMessageRoleEnum.Assistant) {
-          if (item.tool_calls || item.function_call) {
-            return formatAssistantItem(item);
-          }
+    return item;
+  });

-          const parseContent = parseAssistantContent(item.content);
+  const loadMessages = (await Promise.all(
+    filterMessages.map(async (item) => {
+      if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
+        return {
+          ...item,
+          content: await parseUserContent(item.content)
+        };
+      } else if (item.role === ChatCompletionRequestMessageRoleEnum.Assistant) {
+        // remove invalid field
+        return {
+          role: item.role,
+          content: item.content,
+          function_call: item.function_call,
+          name: item.name,
+          refusal: item.refusal,
+          tool_calls: item.tool_calls
+        };
+      } else {
+        return item;
+      }
+    })
+  )) as ChatCompletionMessageParam[];

-          // 如果内容为空，且前后不再是 assistant，需要补充成 null，避免丢失 user-assistant 的交互
-          const formatContent = (() => {
-            const lastItem = mergeMessages[i - 1];
-            const nextItem = mergeMessages[i + 1];
-            if (
-              parseContent === '' &&
-              (lastItem?.role === ChatCompletionRequestMessageRoleEnum.Assistant ||
-                nextItem?.role === ChatCompletionRequestMessageRoleEnum.Assistant)
-            ) {
-              return;
-            }
-            return parseContent || 'null';
-          })();
-          if (!formatContent) return;
-
-          return {
-            ...formatAssistantItem(item),
-            content: formatContent
-          };
-        } else {
-          return item;
-        }
-      })
-    )
-  ).filter(Boolean) as ChatCompletionMessageParam[];
-
-  return loadMessages as SdkChatCompletionMessageParam[];
+  return mergeConsecutiveMessages(
+    clearInvalidMessages(loadMessages)
+  ) as SdkChatCompletionMessageParam[];
 };
--- a/packages/service/core/dataset/data/dataTextSchema.ts
+++ b/packages/service/core/dataset/data/dataTextSchema.ts
@@ -37,7 +37,12 @@ try {
    { teamId: 1, datasetId: 1, fullTextToken: 'text' },
    {
      name: 'teamId_1_datasetId_1_fullTextToken_text',
-      default_language: 'none'
+      default_language: 'none',
+      collation: {
+        locale: 'simple', // 使用简单匹配规则
+        strength: 2, //  忽略大小写
+        caseLevel: false // 进一步确保大小写不敏感
+      }
    }
  );
  DatasetDataTextSchema.index({ dataId: 1 }, { unique: true });
--- a/packages/service/core/workflow/dispatch/agent/extract.ts
+++ b/packages/service/core/workflow/dispatch/agent/extract.ts
@@ -1,5 +1,5 @@
 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
-import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../chat/utils';
 import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
 import {
  countMessagesTokens,
@@ -175,9 +175,9 @@ ${description ? `- ${description}` : ''}
    }
  ];
  const adaptMessages = chats2GPTMessages({ messages, reserveId: false });
-  const filterMessages = await filterGPTMessageByMaxContext({
+  const filterMessages = await filterGPTMessageByMaxTokens({
    messages: adaptMessages,
-    maxContext: extractModel.maxContext
+    maxTokens: extractModel.maxContext
  });
  const requestMessages = await loadRequestMessages({
    messages: filterMessages,
--- a/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
@@ -1,5 +1,5 @@
 import { createChatCompletion } from '../../../../ai/config';
-import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
  ChatCompletion,
  StreamChatType,
@@ -172,14 +172,10 @@ export const runToolWithFunctionCall = async (
    };
  });

-  const max_tokens = computedMaxToken({
-    model: toolModel,
-    maxToken
-  });
  const filterMessages = (
-    await filterGPTMessageByMaxContext({
+    await filterGPTMessageByMaxTokens({
      messages,
-      maxContext: toolModel.maxContext - (max_tokens || 0) // filter token. not response maxToken
+      maxTokens: toolModel.maxContext - 300 // filter token. not response maxToken
    })
  ).map((item) => {
    if (item.role === ChatCompletionRequestMessageRoleEnum.Assistant && item.function_call) {
@@ -194,11 +190,16 @@ export const runToolWithFunctionCall = async (
    }
    return item;
  });
-  const [requestMessages] = await Promise.all([
+  const [requestMessages, max_tokens] = await Promise.all([
    loadRequestMessages({
      messages: filterMessages,
      useVision: toolModel.vision && aiChatVision,
      origin: requestOrigin
+    }),
+    computedMaxToken({
+      model: toolModel,
+      maxToken,
+      filterMessages
    })
  ]);
  const requestBody = llmCompletionsBodyFormat(
--- a/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
@@ -1,5 +1,5 @@
 import { createChatCompletion } from '../../../../ai/config';
-import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
  ChatCompletion,
  StreamChatType,
@@ -196,20 +196,21 @@ export const runToolWithPromptCall = async (
    return Promise.reject('Prompt call invalid input');
  }

-  const max_tokens = computedMaxToken({
-    model: toolModel,
-    maxToken
-  });
-  const filterMessages = await filterGPTMessageByMaxContext({
+  const filterMessages = await filterGPTMessageByMaxTokens({
    messages,
-    maxContext: toolModel.maxContext - (max_tokens || 0) // filter token. not response maxToken
+    maxTokens: toolModel.maxContext - 500 // filter token. not response maxToken
  });

-  const [requestMessages] = await Promise.all([
+  const [requestMessages, max_tokens] = await Promise.all([
    loadRequestMessages({
      messages: filterMessages,
      useVision: toolModel.vision && aiChatVision,
      origin: requestOrigin
+    }),
+    computedMaxToken({
+      model: toolModel,
+      maxToken,
+      filterMessages
    })
  ]);
  const requestBody = llmCompletionsBodyFormat(
--- a/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
@@ -1,5 +1,5 @@
 import { createChatCompletion } from '../../../../ai/config';
-import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../../chat/utils';
 import {
  ChatCompletion,
  ChatCompletionMessageToolCall,
@@ -228,16 +228,11 @@ export const runToolWithToolChoice = async (
    };
  });

-  const max_tokens = computedMaxToken({
-    model: toolModel,
-    maxToken
-  });
-
  // Filter histories by maxToken
  const filterMessages = (
-    await filterGPTMessageByMaxContext({
+    await filterGPTMessageByMaxTokens({
      messages,
-      maxContext: toolModel.maxContext - (max_tokens || 0) // filter token. not response maxToken
+      maxTokens: toolModel.maxContext - 300 // filter token. not response maxToken
    })
  ).map((item) => {
    if (item.role === 'assistant' && item.tool_calls) {
@@ -253,11 +248,16 @@ export const runToolWithToolChoice = async (
    return item;
  });

-  const [requestMessages] = await Promise.all([
+  const [requestMessages, max_tokens] = await Promise.all([
    loadRequestMessages({
      messages: filterMessages,
      useVision: toolModel.vision && aiChatVision,
      origin: requestOrigin
+    }),
+    computedMaxToken({
+      model: toolModel,
+      maxToken,
+      filterMessages
    })
  ]);
  const requestBody = llmCompletionsBodyFormat(
@@ -272,7 +272,7 @@ export const runToolWithToolChoice = async (
    },
    toolModel
  );
-  // console.log(JSON.stringify(requestMessages, null, 2), '==requestBody');
+  // console.log(JSON.stringify(requestBody, null, 2), '==requestBody');
  /* Run llm */
  const {
    response: aiResponse,
--- a/packages/service/core/workflow/dispatch/chat/oneapi.ts
+++ b/packages/service/core/workflow/dispatch/chat/oneapi.ts
@@ -1,5 +1,5 @@
 import type { NextApiResponse } from 'next';
-import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../chat/utils';
+import { filterGPTMessageByMaxTokens, loadRequestMessages } from '../../../chat/utils';
 import type { ChatItemType, UserChatItemValueItemType } from '@fastgpt/global/core/chat/type.d';
 import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';
@@ -58,7 +58,6 @@ export type ChatProps = ModuleDispatchProps<
 >;
 export type ChatResponse = DispatchNodeResultType<{
  [NodeOutputKeyEnum.answerText]: string;
-  [NodeOutputKeyEnum.reasoningText]?: string;
  [NodeOutputKeyEnum.history]: ChatItemType[];
 }>;

@@ -88,24 +87,22 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
      quoteTemplate,
      quotePrompt,
      aiChatVision,
-      aiChatReasoning = true,
      fileUrlList: fileLinks, // node quote file links
      stringQuoteText //abandon
    }
  } = props;
  const { files: inputFiles } = chatValue2RuntimePrompt(query); // Chat box input files

+  stream = stream && isResponseAnswerText;
+
+  const chatHistories = getHistories(history, histories);
+  quoteQA = checkQuoteQAValue(quoteQA);
+
  const modelConstantsData = getLLMModel(model);
  if (!modelConstantsData) {
    return Promise.reject('The chat model is undefined, you need to select a chat model.');
  }

-  stream = stream && isResponseAnswerText;
-  aiChatReasoning = !!aiChatReasoning && !!modelConstantsData.reasoning;
-
-  const chatHistories = getHistories(history, histories);
-  quoteQA = checkQuoteQAValue(quoteQA);
-
  const [{ datasetQuoteText }, { documentQuoteText, userFiles }] = await Promise.all([
    filterDatasetQuote({
      quoteQA,
@@ -127,15 +124,9 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    return Promise.reject(i18nT('chat:AI_input_is_empty'));
  }

-  const max_tokens = computedMaxToken({
-    model: modelConstantsData,
-    maxToken
-  });
-
  const [{ filterMessages }] = await Promise.all([
    getChatMessages({
      model: modelConstantsData,
-      maxTokens: max_tokens,
      histories: chatHistories,
      useDatasetQuote: quoteQA !== undefined,
      datasetQuoteText,
@@ -146,8 +137,8 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
      userFiles,
      documentQuoteText
    }),
-    // Censor = true and system key, will check content
    (() => {
+      // censor model and system key
      if (modelConstantsData.censor && !externalProvider.openaiAccount?.key) {
        return postTextCensor({
          text: `${systemPrompt}
@@ -158,11 +149,18 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    })()
  ]);

-  const requestMessages = await loadRequestMessages({
-    messages: filterMessages,
-    useVision: modelConstantsData.vision && aiChatVision,
-    origin: requestOrigin
-  });
+  const [requestMessages, max_tokens] = await Promise.all([
+    loadRequestMessages({
+      messages: filterMessages,
+      useVision: modelConstantsData.vision && aiChatVision,
+      origin: requestOrigin
+    }),
+    computedMaxToken({
+      model: modelConstantsData,
+      maxToken,
+      filterMessages
+    })
+  ]);

  const requestBody = llmCompletionsBodyFormat(
    {
@@ -185,41 +183,34 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    }
  });

-  const { answerText, reasoningText } = await (async () => {
+  const { answerText } = await (async () => {
    if (res && isStreamResponse) {
      // sse response
-      const { answer, reasoning } = await streamResponse({
+      const { answer } = await streamResponse({
        res,
        stream: response,
-        aiChatReasoning,
        workflowStreamResponse
      });

      return {
-        answerText: answer,
-        reasoningText: reasoning
+        answerText: answer
      };
    } else {
      const unStreamResponse = response as ChatCompletion;
      const answer = unStreamResponse.choices?.[0]?.message?.content || '';
-      const reasoning = aiChatReasoning
-        ? // @ts-ignore
-          unStreamResponse.choices?.[0]?.message?.reasoning_content || ''
-        : '';
+
      if (stream) {
        // Some models do not support streaming
        workflowStreamResponse?.({
          event: SseResponseEventEnum.fastAnswer,
          data: textAdaptGptResponse({
-            text: answer,
-            reasoning_content: reasoning
+            text: answer
          })
        });
      }

      return {
-        answerText: answer,
-        reasoningText: reasoning
+        answerText: answer
      };
    }
  })();
@@ -250,7 +241,6 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp

  return {
    answerText,
-    reasoningText,
    [DispatchNodeResponseKeyEnum.nodeResponse]: {
      totalPoints: externalProvider.openaiAccount?.key ? 0 : totalPoints,
      model: modelName,
@@ -377,7 +367,6 @@ async function getMultiInput({

 async function getChatMessages({
  model,
-  maxTokens = 0,
  aiChatQuoteRole,
  datasetQuotePrompt = '',
  datasetQuoteText,
@@ -389,7 +378,6 @@ async function getChatMessages({
  documentQuoteText
 }: {
  model: LLMModelItemType;
-  maxTokens?: number;
  // dataset quote
  aiChatQuoteRole: AiChatQuoteRoleType; // user: replace user prompt; system: replace system prompt
  datasetQuotePrompt?: string;
@@ -456,9 +444,9 @@ async function getChatMessages({

  const adaptMessages = chats2GPTMessages({ messages, reserveId: false });

-  const filterMessages = await filterGPTMessageByMaxContext({
+  const filterMessages = await filterGPTMessageByMaxTokens({
    messages: adaptMessages,
-    maxContext: model.maxContext - maxTokens // filter token. not response maxToken
+    maxTokens: model.maxContext - 300 // filter token. not response maxToken
  });

  return {
@@ -469,43 +457,33 @@ async function getChatMessages({
 async function streamResponse({
  res,
  stream,
-  workflowStreamResponse,
-  aiChatReasoning
+  workflowStreamResponse
 }: {
  res: NextApiResponse;
  stream: StreamChatType;
  workflowStreamResponse?: WorkflowResponseType;
-  aiChatReasoning?: boolean;
 }) {
  const write = responseWriteController({
    res,
    readStream: stream
  });
  let answer = '';
-  let reasoning = '';
  for await (const part of stream) {
    if (res.closed) {
      stream.controller?.abort();
      break;
    }
-
    const content = part.choices?.[0]?.delta?.content || '';
    answer += content;

-    const reasoningContent = aiChatReasoning
-      ? part.choices?.[0]?.delta?.reasoning_content || ''
-      : '';
-    reasoning += reasoningContent;
-
    workflowStreamResponse?.({
      write,
      event: SseResponseEventEnum.answer,
      data: textAdaptGptResponse({
-        text: content,
-        reasoning_content: reasoningContent
+        text: content
      })
    });
  }

-  return { answer, reasoning };
+  return { answer };
 }
--- a/packages/service/core/workflow/dispatch/index.ts
+++ b/packages/service/core/workflow/dispatch/index.ts
@@ -204,7 +204,6 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
    { inputs = [] }: RuntimeNodeItemType,
    {
      answerText = '',
-      reasoningText,
      responseData,
      nodeDispatchUsages,
      toolResponses,
@@ -214,7 +213,6 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
    }: Omit<
      DispatchNodeResultType<{
        [NodeOutputKeyEnum.answerText]?: string;
-        [NodeOutputKeyEnum.reasoningText]?: string;
        [DispatchNodeResponseKeyEnum.nodeResponse]?: ChatHistoryItemResType;
      }>,
      'nodeResponse'
@@ -241,28 +239,18 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
    // Histories store
    if (assistantResponses) {
      chatAssistantResponse = chatAssistantResponse.concat(assistantResponses);
-    } else {
-      if (reasoningText) {
+    } else if (answerText) {
+      // save assistant text response
+      const isResponseAnswerText =
+        inputs.find((item) => item.key === NodeInputKeyEnum.aiChatIsResponseText)?.value ?? true;
+      if (isResponseAnswerText) {
        chatAssistantResponse.push({
-          type: ChatItemValueTypeEnum.reasoning,
-          reasoning: {
-            content: reasoningText
+          type: ChatItemValueTypeEnum.text,
+          text: {
+            content: answerText
          }
        });
      }
-      if (answerText) {
-        // save assistant text response
-        const isResponseAnswerText =
-          inputs.find((item) => item.key === NodeInputKeyEnum.aiChatIsResponseText)?.value ?? true;
-        if (isResponseAnswerText) {
-          chatAssistantResponse.push({
-            type: ChatItemValueTypeEnum.text,
-            text: {
-              content: answerText
-            }
-          });
-        }
-      }
    }

    if (rewriteHistories) {
--- a/packages/service/core/workflow/dispatch/tools/http468.ts
+++ b/packages/service/core/workflow/dispatch/tools/http468.ts
@@ -244,6 +244,7 @@ export const dispatchHttp468Request = async (props: HttpRequestProps): Promise<H
      if (!httpJsonBody) return {};
      if (httpContentType === ContentTypes.json) {
        httpJsonBody = replaceJsonBodyString(httpJsonBody);
+        console.log(httpJsonBody);
        return json5.parse(httpJsonBody);
      }

--- a/packages/web/components/common/Icon/constants.ts
+++ b/packages/web/components/common/Icon/constants.ts
@@ -178,7 +178,6 @@ export const iconPaths = {
  'core/chat/sideLine': () => import('./icons/core/chat/sideLine.svg'),
  'core/chat/speaking': () => import('./icons/core/chat/speaking.svg'),
  'core/chat/stopSpeech': () => import('./icons/core/chat/stopSpeech.svg'),
-  'core/chat/think': () => import('./icons/core/chat/think.svg'),
  'core/dataset/commonDataset': () => import('./icons/core/dataset/commonDataset.svg'),
  'core/dataset/commonDatasetColor': () => import('./icons/core/dataset/commonDatasetColor.svg'),
  'core/dataset/commonDatasetOutline': () =>
--- a/packages/web/components/common/Icon/icons/core/chat/think.svg
+++ b/packages/web/components/common/Icon/icons/core/chat/think.svg
@@ -1 +0,0 @@
-<svg t="1737983662269" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="6134" width="64" height="64"><path d="M512 512m-91.264 0a91.264 91.264 0 1 0 182.528 0 91.264 91.264 0 1 0-182.528 0Z" fill="" p-id="6135"></path><path d="M256.341333 693.546667l-20.138666-5.12C86.101333 650.496 0 586.112 0 511.829333s86.101333-138.666667 236.202667-176.597333l20.138666-5.077333 5.674667 19.968a1003.946667 1003.946667 0 0 0 58.154667 152.661333l4.309333 9.088-4.309333 9.088a994.432 994.432 0 0 0-58.154667 152.661333l-5.674667 19.925334zM226.858667 381.866667c-114.090667 32.042667-184.106667 81.066667-184.106667 129.962666 0 48.853333 70.016 97.877333 184.106667 129.962667a1064.533333 1064.533333 0 0 1 50.432-129.962667A1056.085333 1056.085333 0 0 1 226.858667 381.866667z m540.8 311.68l-5.674667-20.010667a996.565333 996.565333 0 0 0-58.197333-152.618667l-4.309334-9.088 4.309334-9.088a999.253333 999.253333 0 0 0 58.197333-152.661333l5.674667-19.968 20.181333 5.077333c150.058667 37.930667 236.16 102.314667 236.16 176.64s-86.101333 138.666667-236.16 176.597334l-20.181333 5.12z m-20.949334-181.717334c20.48 44.330667 37.418667 87.893333 50.432 129.962667 114.133333-32.085333 184.106667-81.109333 184.106667-129.962667 0-48.896-70.016-97.877333-184.106667-129.962666a1057.621333 1057.621333 0 0 1-50.432 129.962666z" fill="" p-id="6136"></path><path d="M226.56 381.653333l-5.674667-19.925333C178.688 212.992 191.488 106.410667 256 69.205333c63.274667-36.522667 164.864 6.613333 271.317333 115.882667l14.506667 14.890667-14.506667 14.890666a1004.885333 1004.885333 0 0 0-103.338666 126.592l-5.76 8.234667-10.026667 0.853333a1009.365333 1009.365333 0 0 0-161.493333 26.026667l-20.138667 5.077333z m80.896-282.88c-11.434667 0-21.546667 2.474667-30.08 7.381334-42.410667 24.448-49.92 109.44-20.693333 224.128a1071.872 1071.872 0 0 1 137.941333-21.376 1060.138667 1060.138667 0 0 1 87.552-108.544c-66.56-64.810667-129.578667-101.589333-174.72-101.589334z m409.130667 868.778667c-0.042667 0-0.042667 0 0 0-60.8 0-138.88-45.781333-219.904-128.981333l-14.506667-14.890667 14.506667-14.890667a1003.946667 1003.946667 0 0 0 103.296-126.634666l5.76-8.234667 9.984-0.853333a1008.213333 1008.213333 0 0 0 161.578666-25.984l20.138667-5.077334 5.717333 19.968c42.112 148.650667 29.354667 255.274667-35.157333 292.437334a101.546667 101.546667 0 0 1-51.413333 13.141333z m-174.762667-144.256c66.56 64.810667 129.578667 101.589333 174.72 101.589333h0.042667c11.392 0 21.546667-2.474667 30.037333-7.381333 42.410667-24.448 49.962667-109.482667 20.693333-224.170667a1067.52 1067.52 0 0 1-137.984 21.376 1052.757333 1052.757333 0 0 1-87.509333 108.586667z" fill="" p-id="6137"></path><path d="M797.44 381.653333l-20.138667-5.077333a1001.770667 1001.770667 0 0 0-161.578666-26.026667l-9.984-0.853333-5.76-8.234667a998.997333 998.997333 0 0 0-103.296-126.592l-14.506667-14.890666 14.506667-14.890667C603.093333 75.861333 704.64 32.725333 768 69.205333c64.512 37.205333 77.312 143.786667 35.157333 292.48l-5.717333 19.968zM629.333333 308.906667c48.725333 4.437333 95.018667 11.648 137.984 21.376 29.269333-114.688 21.717333-199.68-20.693333-224.128-42.154667-24.362667-121.386667 12.970667-204.8 94.208A1060.224 1060.224 0 0 1 629.333333 308.906667zM307.456 967.552A101.546667 101.546667 0 0 1 256 954.410667c-64.512-37.162667-77.312-143.744-35.114667-292.437334l5.632-19.968 20.138667 5.077334c49.28 12.416 103.637333 21.162667 161.493333 25.984l10.026667 0.853333 5.717333 8.234667a1006.762667 1006.762667 0 0 0 103.338667 126.634666l14.506667 14.890667-14.506667 14.890667c-80.981333 83.2-159.061333 128.981333-219.776 128.981333z m-50.773333-274.218667c-29.269333 114.688-21.717333 199.722667 20.693333 224.170667 42.112 24.021333 121.301333-13.013333 204.8-94.208a1066.581333 1066.581333 0 0 1-87.552-108.586667 1065.642667 1065.642667 0 0 1-137.941333-21.376z" fill="" p-id="6138"></path><path d="M512 720.128c-35.114667 0-71.210667-1.536-107.349333-4.522667l-10.026667-0.853333-5.76-8.234667a1296.554667 1296.554667 0 0 1-57.6-90.538666 1295.104 1295.104 0 0 1-49.749333-95.061334l-4.266667-9.088 4.266667-9.088a1292.8 1292.8 0 0 1 49.749333-95.061333c17.664-30.549333 37.077333-61.013333 57.6-90.538667l5.76-8.234666 10.026667-0.853334a1270.826667 1270.826667 0 0 1 214.741333 0l9.984 0.853334 5.717333 8.234666a1280.256 1280.256 0 0 1 107.392 185.6l4.309334 9.088-4.309334 9.088a1262.933333 1262.933333 0 0 1-107.392 185.6l-5.717333 8.234667-9.984 0.853333c-36.138667 2.986667-72.277333 4.522667-107.392 4.522667z m-93.738667-46.250667c63.146667 4.736 124.330667 4.736 187.52 0a1237.589333 1237.589333 0 0 0 93.696-162.048 1219.626667 1219.626667 0 0 0-93.738666-162.048 1238.656 1238.656 0 0 0-187.477334 0 1215.018667 1215.018667 0 0 0-93.738666 162.048 1242.197333 1242.197333 0 0 0 93.738666 162.048z"  p-id="6139"></path></svg>
--- a/packages/web/hooks/useScrollPagination.tsx
+++ b/packages/web/hooks/useScrollPagination.tsx
@@ -304,7 +304,7 @@ export function useScrollPagination<
      );

      return (
-        <MyBox ref={ref} h={'100%'} overflow={'auto'} isLoading={isLoading} {...props}>
+        <MyBox {...props} ref={ref} overflow={'overlay'} isLoading={isLoading}>
          {scrollLoadType === 'top' && total > 0 && isLoading && (
            <Box mt={2} fontSize={'xs'} color={'blackAlpha.500'} textAlign={'center'}>
              {t('common:common.is_requesting')}
--- a/packages/web/i18n/en/account.json
+++ b/packages/web/i18n/en/account.json
@@ -20,9 +20,9 @@
  "model.charsPointsPrice": "Chars Price",
  "model.charsPointsPrice_tip": "Combine the model input and output for Token billing. If the language model is configured with input and output billing separately, the input and output will be calculated separately.",
  "model.custom_cq_prompt": "Custom question classification prompt words",
-  "model.custom_cq_prompt_tip": "Override the system's default question classification prompt words, which default to:\n\"\"\"\n{{prompt}}\n\"\"\"",
+  "model.custom_cq_prompt_tip": "Override the system's default question classification prompt words, which default to:\n\"\"\"\n请帮我执行一个“问题分类”任务，将问题分类为以下几种类型之一：\n\n\"\"\"\n{{typeList}}\n\"\"\"\n\n## 背景知识\n{{systemPrompt}}\n\n## 对话记录\n{{history}}\n\n## 开始任务\n\n现在，我们开始分类，我会给你一个\"问题\"，请结合背景知识和对话记录，将问题分类到对应的类型中，并返回类型ID。\n\n问题：\"{{question}}\"\n类型ID=\n\"\"\"",
  "model.custom_extract_prompt": "Custom content extraction prompt words",
-  "model.custom_extract_prompt_tip": "The reminder word of the coverage of the system, the default:\n\"\"\"\n{{prompt}}\n\"\"\"",
+  "model.custom_extract_prompt_tip": "Override system prompt word, default is:\n\"\"\"\n你可以从 <对话记录></对话记录> 中提取指定 Json 信息，你仅需返回 Json 字符串，无需回答问题。\n<提取要求>\n{{description}}\n</提取要求>\n\n<提取规则>\n- 本次需提取的 json 字符串，需符合 JsonSchema 的规则。\n- type 代表数据类型; key 代表字段名; description 代表字段的描述; enum 是枚举值，代表可选的 value。\n- 如果没有可提取的内容，忽略该字段。\n</提取规则>\n\n<JsonSchema>\n{{json}}\n</JsonSchema>\n\n<对话记录>\n{{text}}\n</对话记录>\n\n提取的 json 字符串:\n\"\"\"",
  "model.dataset_process": "Dataset file parse",
  "model.defaultConfig": "Additional Body parameters",
  "model.defaultConfig_tip": "Each request will carry this additional Body parameter.",
@@ -49,12 +49,10 @@
  "model.output_price": "Output price",
  "model.output_price_tip": "The language model output price. If this item is configured, the model comprehensive price will be invalid.",
  "model.param_name": "Parameter name",
-  "model.reasoning": "Support output thinking",
-  "model.reasoning_tip": "For example, Deepseek-reasoner can output the thinking process.",
-  "model.request_auth": "Custom key",
+  "model.request_auth": "Custom token",
  "model.request_auth_tip": "When making a request to a custom request address, carry the request header: Authorization: Bearer xxx to make the request.",
  "model.request_url": "Custom url",
-  "model.request_url_tip": "If you fill in this value, you will initiate a request directly without passing. \nYou need to follow the API format of Openai and fill in the full request address, such as\n\nLLM: {Host}}/v1/Chat/Completions\n\nEmbedding: {host}}/v1/embeddings\n\nSTT: {Host}/v1/Audio/Transcriptions\n\nTTS: {Host}}/v1/Audio/Speech\n\nRERARARARARARARANK: {Host}}/v1/RERARARARARARARARARARANK",
+  "model.request_url_tip": "If this value is filled in, a request will be made directly to this address without going through OneAPI",
  "model.test_model": "Model testing",
  "model.tool_choice": "Tool choice",
  "model.tool_choice_tag": "ToolCall",
--- a/packages/web/i18n/en/app.json
+++ b/packages/web/i18n/en/app.json
@@ -109,7 +109,6 @@
  "publish_channel": "Publish",
  "publish_success": "Publish Successful",
  "question_guide_tip": "After the conversation, 3 guiding questions will be generated for you.",
-  "reasoning_response": "Output thinking",
  "saved_success": "Saved successfully! \nTo use this version externally, click Save and Publish",
  "search_app": "Search apps",
  "setting_app": "Workflow",
--- a/packages/web/i18n/en/chat.json
+++ b/packages/web/i18n/en/chat.json
@@ -2,7 +2,6 @@
  "AI_input_is_empty": "The content passed to the AI node is empty",
  "Delete_all": "Clear All Lexicon",
  "LLM_model_response_empty": "The model flow response is empty, please check whether the model flow output is normal.",
-  "ai_reasoning": "Thinking process",
  "chat_history": "Conversation History",
  "chat_input_guide_lexicon_is_empty": "Lexicon not configured yet",
  "chat_test_app": "Debug-{{name}}",
--- a/packages/web/i18n/zh-CN/account.json
+++ b/packages/web/i18n/zh-CN/account.json
@@ -20,9 +20,9 @@
  "model.charsPointsPrice": "模型综合价格",
  "model.charsPointsPrice_tip": "将模型输入和输出合并起来进行 Token 计费，语言模型如果单独配置了输入和输出计费，则按输入和输出分别计算",
  "model.custom_cq_prompt": "自定义问题分类提示词",
-  "model.custom_cq_prompt_tip": "覆盖系统默认的问题分类提示词，默认为：\n\"\"\"\n{{prompt}}\n\"\"\"",
+  "model.custom_cq_prompt_tip": "覆盖系统默认的问题分类提示词，默认为：\n",
  "model.custom_extract_prompt": "自定义内容提取提示词",
-  "model.custom_extract_prompt_tip": "覆盖系统的提示词，默认为：\n\"\"\"\n{{prompt}}\n\"\"\"",
+  "model.custom_extract_prompt_tip": "覆盖系统的提示词，默认为：\n\"\"\"\n你可以从 <对话记录></对话记录> 中提取指定 Json 信息，你仅需返回 Json 字符串，无需回答问题。\n<提取要求>\n{{description}}\n</提取要求>\n\n<提取规则>\n- 本次需提取的 json 字符串，需符合 JsonSchema 的规则。\n- type 代表数据类型; key 代表字段名; description 代表字段的描述; enum 是枚举值，代表可选的 value。\n- 如果没有可提取的内容，忽略该字段。\n</提取规则>\n\n<JsonSchema>\n{{json}}\n</JsonSchema>\n\n<对话记录>\n{{text}}\n</对话记录>\n\n提取的 json 字符串:\n\"\"\"",
  "model.dataset_process": "用于知识库文件处理",
  "model.defaultConfig": "额外 Body 参数",
  "model.defaultConfig_tip": "每次请求时候，都会携带该额外 Body 参数",
@@ -49,12 +49,10 @@
  "model.output_price": "模型输出价格",
  "model.output_price_tip": "语言模型输出价格，如果配置了该项，则模型综合价格会失效",
  "model.param_name": "参数名",
-  "model.reasoning": "支持输出思考",
-  "model.reasoning_tip": "例如 Deepseek-reasoner，可以输出思考过程。",
-  "model.request_auth": "自定义请求 Key",
+  "model.request_auth": "自定义请求 Tokens",
  "model.request_auth_tip": "向自定义请求地址发起请求时候，携带请求头：Authorization: Bearer xxx 进行请求",
  "model.request_url": "自定义请求地址",
-  "model.request_url_tip": "如果填写该值，则会直接向该地址发起请求，不经过 OneAPI。需要遵循 OpenAI 的 API格式，并填写完整请求地址，例如：\nLLM: {{host}}/v1/chat/completions\nEmbedding: {{host}}/v1/embeddings\nSTT: {{host}}/v1/audio/transcriptions\nTTS: {{host}}/v1/audio/speech\nRerank: {{host}}/v1/rerank",
+  "model.request_url_tip": "如果填写该值，则会直接向该地址发起请求，不经过 OneAPI",
  "model.test_model": "模型测试",
  "model.tool_choice": "支持工具调用",
  "model.tool_choice_tag": "工具调用",
--- a/packages/web/i18n/zh-CN/app.json
+++ b/packages/web/i18n/zh-CN/app.json
@@ -109,7 +109,6 @@
  "publish_channel": "发布渠道",
  "publish_success": "发布成功",
  "question_guide_tip": "对话结束后，会为你生成 3 个引导性问题。",
-  "reasoning_response": "输出思考",
  "saved_success": "保存成功！如需在外部使用该版本，请点击“保存并发布”",
  "search_app": "搜索应用",
  "setting_app": "应用配置",
--- a/packages/web/i18n/zh-CN/chat.json
+++ b/packages/web/i18n/zh-CN/chat.json
@@ -2,7 +2,6 @@
  "AI_input_is_empty": "传入AI 节点的内容为空",
  "Delete_all": "清空词库",
  "LLM_model_response_empty": "模型流响应为空，请检查模型流输出是否正常",
-  "ai_reasoning": "思考过程",
  "chat_history": "聊天记录",
  "chat_input_guide_lexicon_is_empty": "还没有配置词库",
  "chat_test_app": "调试-{{name}}",
--- a/packages/web/i18n/zh-Hant/account.json
+++ b/packages/web/i18n/zh-Hant/account.json
@@ -19,9 +19,9 @@
  "model.charsPointsPrice": "模型綜合價格",
  "model.charsPointsPrice_tip": "將模型輸入和輸出合併起來進行 Token 計費，語言模型如果單獨配置了輸入和輸出計費，則按輸入和輸出分別計算",
  "model.custom_cq_prompt": "自訂問題分類提示詞",
-  "model.custom_cq_prompt_tip": "覆蓋系統預設的問題分類提示詞，預設為：\n\"\"\"\n{{prompt}}\n\"\"\"",
+  "model.custom_cq_prompt_tip": "覆蓋系統預設的問題分類提示詞，預設為：\n\"\"\"\n请帮我执行一个“问题分类”任务，将问题分类为以下几种类型之一：\n\n\"\"\"\n{{typeList}}\n\"\"\"\n\n## 背景知识\n{{systemPrompt}}\n\n## 对话记录\n{{history}}\n\n## 开始任务\n\n现在，我们开始分类，我会给你一个\"问题\"，请结合背景知识和对话记录，将问题分类到对应的类型中，并返回类型ID。\n\n问题：\"{{question}}\"\n类型ID=\n\"\"\"",
  "model.custom_extract_prompt": "自訂內容提取提示詞",
-  "model.custom_extract_prompt_tip": "覆蓋系統的提示詞，默認為：\n\"\"\"\n{{prompt}}\n\"\"\"",
+  "model.custom_extract_prompt_tip": "覆蓋系統的提示詞，預設為：\n\"\"\"\n你可以从 <对话记录></对话记录> 中提取指定 Json 信息，你仅需返回 Json 字符串，无需回答问题。\n<提取要求>\n{{description}}\n</提取要求>\n\n<提取规则>\n- 本次需提取的 json 字符串，需符合 JsonSchema 的规则。\n- type 代表数据类型; key 代表字段名; description 代表字段的描述; enum 是枚举值，代表可选的 value。\n- 如果没有可提取的内容，忽略该字段。\n</提取规则>\n\n<JsonSchema>\n{{json}}\n</JsonSchema>\n\n<对话记录>\n{{text}}\n</对话记录>\n\n提取的 json 字符串:\n\"\"\"",
  "model.dataset_process": "用於知識庫文件處理",
  "model.defaultConfig": "額外 Body 參數",
  "model.defaultConfig_tip": "每次請求時候，都會攜帶該額外 Body 參數",
@@ -48,12 +48,10 @@
  "model.output_price": "模型輸出價格",
  "model.output_price_tip": "語言模型輸出價格，如果配置了該項，則模型綜合價格會失效",
  "model.param_name": "參數名",
-  "model.reasoning": "支持輸出思考",
-  "model.reasoning_tip": "例如 Deepseek-reasoner，可以輸出思考過程。",
-  "model.request_auth": "自訂請求 Key",
+  "model.request_auth": "自訂請求 Tokens",
  "model.request_auth_tip": "向自訂請求地址發起請求時候，攜帶請求頭：Authorization: Bearer xxx 進行請求",
  "model.request_url": "自訂請求地址",
-  "model.request_url_tip": "如果填寫該值，則會直接向該地址發起請求，不經過 OneAPI。\n需要遵循 OpenAI 的 API格式，並填寫完整請求地址，例如：\n\nLLM: {{host}}/v1/chat/completions\n\nEmbedding: {{host}}/v1/embeddings\n\nSTT: {{host}}/v1/audio/transcriptions\n\nTTS: {{host}}/v1/audio/speech\n\nRerank: {{host}}/v1/rerank",
+  "model.request_url_tip": "如果填入該值，則會直接向該位址發起請求，不經過 OneAPI",
  "model.test_model": "模型測試",
  "model.tool_choice": "支援工具調用",
  "model.tool_choice_tag": "工具調用",
--- a/packages/web/i18n/zh-Hant/app.json
+++ b/packages/web/i18n/zh-Hant/app.json
@@ -109,7 +109,6 @@
  "publish_channel": "發布通道",
  "publish_success": "發布成功",
  "question_guide_tip": "對話結束後，會為你產生 3 個引導性問題。",
-  "reasoning_response": "輸出思考",
  "saved_success": "保存成功！\n如需在外部使用該版本，請點擊“儲存並發布”",
  "search_app": "搜尋應用程式",
  "setting_app": "應用程式設定",
--- a/packages/web/i18n/zh-Hant/chat.json
+++ b/packages/web/i18n/zh-Hant/chat.json
@@ -2,7 +2,6 @@
  "AI_input_is_empty": "傳送至 AI 節點的內容為空",
  "Delete_all": "清除所有詞彙",
  "LLM_model_response_empty": "模型流程回應為空，請檢查模型流程輸出是否正常",
-  "ai_reasoning": "思考過程",
  "chat_history": "對話紀錄",
  "chat_input_guide_lexicon_is_empty": "尚未設定詞彙庫",
  "chat_test_app": "調試-{{name}}",
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -22,7 +22,7 @@ importers:
        version: 13.3.0
      next-i18next:
        specifier: 15.3.0
-        version: 15.3.0(i18next@23.11.5)(next@14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react-i18next@14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react@18.3.1)
+        version: 15.3.0(i18next@23.11.5)(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react-i18next@14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react@18.3.1)
      prettier:
        specifier: 3.2.4
        version: 3.2.4
@@ -67,7 +67,7 @@ importers:
        version: 4.0.2
      next:
        specifier: 14.2.5
-        version: 14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
+        version: 14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
      openai:
        specifier: 4.61.0
        version: 4.61.0(encoding@0.1.13)
@@ -111,9 +111,6 @@ importers:
      lodash:
        specifier: ^4.17.21
        version: 4.17.21
-      mssql:
-        specifier: ^11.0.1
-        version: 11.0.1
      mysql2:
        specifier: ^3.11.3
        version: 3.11.3
@@ -213,7 +210,7 @@ importers:
        version: 1.4.5-lts.1
      next:
        specifier: 14.2.5
-        version: 14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
+        version: 14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
      nextjs-cors:
        specifier: ^2.2.0
        version: 2.2.0(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))
@@ -298,7 +295,7 @@ importers:
        version: 2.1.1(@chakra-ui/system@2.6.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(react@18.3.1))(react@18.3.1)
      '@chakra-ui/next-js':
        specifier: 2.1.5
-        version: 2.1.5(@chakra-ui/react@2.8.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(framer-motion@9.1.7(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(next@14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react@18.3.1)
+        version: 2.1.5(@chakra-ui/react@2.8.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(framer-motion@9.1.7(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react@18.3.1)
      '@chakra-ui/react':
        specifier: 2.8.1
        version: 2.8.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(framer-motion@9.1.7(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
@@ -361,7 +358,7 @@ importers:
        version: 4.17.21
      next-i18next:
        specifier: 15.3.0
-        version: 15.3.0(i18next@23.11.5)(next@14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react-i18next@14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react@18.3.1)
+        version: 15.3.0(i18next@23.11.5)(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react-i18next@14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react@18.3.1)
      papaparse:
        specifier: ^5.4.1
        version: 5.4.1
@@ -792,74 +789,6 @@ packages:
    peerDependencies:
      openapi-types: '>=7'

-  '@azure/abort-controller@2.1.2':
-    resolution: {integrity: sha512-nBrLsEWm4J2u5LpAPjxADTlq3trDgVZZXHNKabeXZtpq3d3AbN/KGO82R87rdDz5/lYB024rtEf10/q0urNgsA==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-auth@1.9.0':
-    resolution: {integrity: sha512-FPwHpZywuyasDSLMqJ6fhbOK3TqUdviZNF8OqRGA4W5Ewib2lEEZ+pBsYcBa88B2NGO/SEnYPGhyBqNlE8ilSw==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-client@1.9.2':
-    resolution: {integrity: sha512-kRdry/rav3fUKHl/aDLd/pDLcB+4pOFwPPTVEExuMyaI5r+JBbMWqRbCY1pn5BniDaU3lRxO9eaQ1AmSMehl/w==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-http-compat@2.1.2':
-    resolution: {integrity: sha512-5MnV1yqzZwgNLLjlizsU3QqOeQChkIXw781Fwh1xdAqJR5AA32IUaq6xv1BICJvfbHoa+JYcaij2HFkhLbNTJQ==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-lro@2.7.2':
-    resolution: {integrity: sha512-0YIpccoX8m/k00O7mDDMdJpbr6mf1yWo2dfmxt5A8XVZVVMz2SSKaEbMCeJRvgQ0IaSlqhjT47p4hVIRRy90xw==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-paging@1.6.2':
-    resolution: {integrity: sha512-YKWi9YuCU04B55h25cnOYZHxXYtEvQEbKST5vqRga7hWY9ydd3FZHdeQF8pyh+acWZvppw13M/LMGx0LABUVMA==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-rest-pipeline@1.18.2':
-    resolution: {integrity: sha512-IkTf/DWKyCklEtN/WYW3lqEsIaUDshlzWRlZNNwSYtFcCBQz++OtOjxNpm8rr1VcbMS6RpjybQa3u6B6nG0zNw==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-tracing@1.2.0':
-    resolution: {integrity: sha512-UKTiEJPkWcESPYJz3X5uKRYyOcJD+4nYph+KpfdPRnQJVrZfk0KJgdnaAWKfhsBBtAf/D58Az4AvCJEmWgIBAg==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/core-util@1.11.0':
-    resolution: {integrity: sha512-DxOSLua+NdpWoSqULhjDyAZTXFdP/LKkqtYuxxz1SCN289zk3OG8UOpnCQAz/tygyACBtWp/BoO72ptK7msY8g==}
-    engines: {node: '>=18.0.0'}
-
-  '@azure/identity@4.6.0':
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-
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    engines: {node: '>=12.0.0'}
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-    engines: {node: '>=18'}
-    hasBin: true
-
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    engines: {node: '>= 6.0.0'}
@@ -7251,9 +7141,6 @@ packages:
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-
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@@ -7453,10 +7340,6 @@ packages:
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    engines: {node: '>=12'}

-  open@8.4.2:
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-    engines: {node: '>=12'}
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    hasBin: true
@@ -7883,7 +7766,6 @@ packages:

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-    deprecated: 'react-beautiful-dnd is now deprecated. Context and options: https://github.com/atlassian/react-beautiful-dnd/issues/2672'
    peerDependencies:
      react: ^16.8.5 || ^17.0.0 || ^18.0.0
      react-dom: ^16.8.5 || ^17.0.0 || ^18.0.0
@@ -8483,10 +8365,6 @@ packages:
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-  stoppable@1.1.0:
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-    engines: {node: '>=4', npm: '>=6'}
-
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@@ -8666,14 +8544,6 @@ packages:
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-  tarn@3.0.2:
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-    engines: {node: '>=8.0.0'}
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-  tedious@18.6.1:
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-    engines: {node: '>=18'}
-
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    engines: {node: '>= 10.13.0'}
@@ -9543,136 +9413,6 @@ snapshots:
      call-me-maybe: 1.0.2
      openapi-types: 12.1.3

-  '@azure/abort-controller@2.1.2':
-    dependencies:
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-
-  '@azure/core-auth@1.9.0':
-    dependencies:
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-      '@azure/core-util': 1.11.0
-      tslib: 2.8.0
-
-  '@azure/core-client@1.9.2':
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-      '@azure/core-auth': 1.9.0
-      '@azure/core-rest-pipeline': 1.18.2
-      '@azure/core-tracing': 1.2.0
-      '@azure/core-util': 1.11.0
-      '@azure/logger': 1.1.4
-      tslib: 2.8.0
-    transitivePeerDependencies:
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-
-  '@azure/core-http-compat@2.1.2':
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-      '@azure/core-client': 1.9.2
-      '@azure/core-rest-pipeline': 1.18.2
-    transitivePeerDependencies:
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-
-  '@azure/core-lro@2.7.2':
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-      '@azure/core-util': 1.11.0
-      '@azure/logger': 1.1.4
-      tslib: 2.8.0
-
-  '@azure/core-paging@1.6.2':
-    dependencies:
-      tslib: 2.8.0
-
-  '@azure/core-rest-pipeline@1.18.2':
-    dependencies:
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-      '@azure/core-auth': 1.9.0
-      '@azure/core-tracing': 1.2.0
-      '@azure/core-util': 1.11.0
-      '@azure/logger': 1.1.4
-      http-proxy-agent: 7.0.2
-      https-proxy-agent: 7.0.5
-      tslib: 2.8.0
-    transitivePeerDependencies:
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-
-  '@azure/core-tracing@1.2.0':
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-
-  '@azure/core-util@1.11.0':
-    dependencies:
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-      tslib: 2.8.0
-
-  '@azure/identity@4.6.0':
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-      '@azure/core-auth': 1.9.0
-      '@azure/core-client': 1.9.2
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-      '@azure/core-tracing': 1.2.0
-      '@azure/core-util': 1.11.0
-      '@azure/logger': 1.1.4
-      '@azure/msal-browser': 4.0.2
-      '@azure/msal-node': 2.16.2
-      events: 3.3.0
-      jws: 4.0.0
-      open: 8.4.2
-      stoppable: 1.1.0
-      tslib: 2.8.0
-    transitivePeerDependencies:
-      - supports-color
-
-  '@azure/keyvault-common@2.0.0':
-    dependencies:
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-      '@azure/core-auth': 1.9.0
-      '@azure/core-client': 1.9.2
-      '@azure/core-rest-pipeline': 1.18.2
-      '@azure/core-tracing': 1.2.0
-      '@azure/core-util': 1.11.0
-      '@azure/logger': 1.1.4
-      tslib: 2.8.0
-    transitivePeerDependencies:
-      - supports-color
-
-  '@azure/keyvault-keys@4.9.0':
-    dependencies:
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-      '@azure/core-auth': 1.9.0
-      '@azure/core-client': 1.9.2
-      '@azure/core-http-compat': 2.1.2
-      '@azure/core-lro': 2.7.2
-      '@azure/core-paging': 1.6.2
-      '@azure/core-rest-pipeline': 1.18.2
-      '@azure/core-tracing': 1.2.0
-      '@azure/core-util': 1.11.0
-      '@azure/keyvault-common': 2.0.0
-      '@azure/logger': 1.1.4
-      tslib: 2.8.0
-    transitivePeerDependencies:
-      - supports-color
-
-  '@azure/logger@1.1.4':
-    dependencies:
-      tslib: 2.8.0
-
-  '@azure/msal-browser@4.0.2':
-    dependencies:
-      '@azure/msal-common': 15.0.2
-
-  '@azure/msal-common@14.16.0': {}
-
-  '@azure/msal-common@15.0.2': {}
-
-  '@azure/msal-node@2.16.2':
-    dependencies:
-      '@azure/msal-common': 14.16.0
-      jsonwebtoken: 9.0.2
-      uuid: 8.3.2
-
  '@babel/code-frame@7.24.7':
    dependencies:
      '@babel/highlight': 7.24.7
@@ -9693,7 +9433,7 @@ snapshots:
      '@babel/traverse': 7.25.6
      '@babel/types': 7.25.6
      convert-source-map: 2.0.0
-      debug: 4.3.7
+      debug: 4.3.5
      gensync: 1.0.0-beta.2
      json5: 2.2.3
      semver: 6.3.1
@@ -10545,7 +10285,7 @@ snapshots:
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      '@babel/template': 7.25.0
      '@babel/types': 7.25.6
-      debug: 4.3.7
+      debug: 4.3.5
      globals: 11.12.0
    transitivePeerDependencies:
      - supports-color
@@ -10842,6 +10582,14 @@ snapshots:
      next: 14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
      react: 18.3.1

+  '@chakra-ui/next-js@2.1.5(@chakra-ui/react@2.8.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(framer-motion@9.1.7(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react@18.3.1)':
+    dependencies:
+      '@chakra-ui/react': 2.8.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(framer-motion@9.1.7(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@emotion/cache': 11.11.0
+      '@emotion/react': 11.11.1(@types/react@18.3.1)(react@18.3.1)
+      next: 14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
+      react: 18.3.1
+
  '@chakra-ui/number-input@2.1.1(@chakra-ui/system@2.6.1(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@emotion/styled@11.11.0(@emotion/react@11.11.1(@types/react@18.3.1)(react@18.3.1))(@types/react@18.3.1)(react@18.3.1))(react@18.3.1))(react@18.3.1)':
    dependencies:
      '@chakra-ui/counter': 2.1.0(react@18.3.1)
@@ -11867,8 +11615,6 @@ snapshots:
      '@jridgewell/resolve-uri': 3.1.2
      '@jridgewell/sourcemap-codec': 1.5.0

-  '@js-joda/core@5.6.4': {}
-
  '@js-sdsl/ordered-map@4.4.2': {}

  '@jsdevtools/ono@7.1.3': {}
@@ -12599,8 +12345,6 @@ snapshots:
    optionalDependencies:
      react-dom: 18.3.1(react@18.3.1)

-  '@tediousjs/connection-string@0.5.0': {}
-
  '@tokenizer/token@0.3.0': {}

  '@trysound/sax@0.2.0': {}
@@ -12971,11 +12715,6 @@ snapshots:
      '@types/prop-types': 15.7.12
      csstype: 3.1.3

-  '@types/readable-stream@4.0.18':
-    dependencies:
-      '@types/node': 20.14.11
-      safe-buffer: 5.1.2
-
  '@types/request-ip@0.0.37':
    dependencies:
      '@types/node': 20.14.11
@@ -13091,7 +12830,7 @@ snapshots:
    dependencies:
      '@typescript-eslint/types': 6.21.0
      '@typescript-eslint/visitor-keys': 6.21.0
-      debug: 4.3.7
+      debug: 4.3.5
      globby: 11.1.0
      is-glob: 4.0.3
      minimatch: 9.0.3
@@ -13557,7 +13296,7 @@ snapshots:

  async-mutex@0.4.1:
    dependencies:
-      tslib: 2.8.0
+      tslib: 2.6.3

  async-mutex@0.5.0:
    dependencies:
@@ -13594,7 +13333,7 @@ snapshots:

  axios@1.7.7:
    dependencies:
-      follow-redirects: 1.15.9(debug@4.3.7)
+      follow-redirects: 1.15.9
      form-data: 4.0.1
      proxy-from-env: 1.1.0
    transitivePeerDependencies:
@@ -13714,13 +13453,6 @@ snapshots:
      inherits: 2.0.4
      readable-stream: 3.6.2

-  bl@6.0.19:
-    dependencies:
-      '@types/readable-stream': 4.0.18
-      buffer: 6.0.3
-      inherits: 2.0.4
-      readable-stream: 4.5.2
-
  bluebird@3.4.7: {}

  body-parser@1.20.2:
@@ -14556,8 +14288,6 @@ snapshots:
      es-errors: 1.3.0
      gopd: 1.0.1

-  define-lazy-prop@2.0.0: {}
-
  define-properties@1.2.1:
    dependencies:
      define-data-property: 1.1.4
@@ -14913,7 +14643,7 @@ snapshots:
      eslint: 8.56.0
      eslint-import-resolver-node: 0.3.9
      eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.56.0))(eslint@8.56.0)
-      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.56.0))(eslint@8.56.0))(eslint@8.56.0)
+      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
      eslint-plugin-jsx-a11y: 6.9.0(eslint@8.56.0)
      eslint-plugin-react: 7.34.4(eslint@8.56.0)
      eslint-plugin-react-hooks: 4.6.2(eslint@8.56.0)
@@ -14933,11 +14663,11 @@ snapshots:

  eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.56.0))(eslint@8.56.0):
    dependencies:
-      debug: 4.3.7
+      debug: 4.3.5
      enhanced-resolve: 5.17.0
      eslint: 8.56.0
      eslint-module-utils: 2.8.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.56.0))(eslint@8.56.0))(eslint@8.56.0)
-      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.56.0))(eslint@8.56.0))(eslint@8.56.0)
+      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
      fast-glob: 3.3.2
      get-tsconfig: 4.7.5
      is-core-module: 2.14.0
@@ -14959,7 +14689,7 @@ snapshots:
    transitivePeerDependencies:
      - supports-color

-  eslint-plugin-import@2.29.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1(eslint@8.56.0))(eslint@8.56.0))(eslint@8.56.0):
+  eslint-plugin-import@2.29.1(@typescript-eslint/parser@6.21.0(eslint@8.56.0)(typescript@5.5.3))(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0):
    dependencies:
      array-includes: 3.1.8
      array.prototype.findlastindex: 1.2.5
@@ -15407,6 +15137,12 @@ snapshots:

  follow-redirects@1.15.6: {}

+  follow-redirects@1.15.9: {}
+
+  follow-redirects@1.15.9(debug@4.3.4):
+    optionalDependencies:
+      debug: 4.3.4
+
  follow-redirects@1.15.9(debug@4.3.7):
    optionalDependencies:
      debug: 4.3.7
@@ -16014,8 +15750,6 @@ snapshots:

  is-decimal@2.0.1: {}

-  is-docker@2.2.1: {}
-
  is-extglob@2.1.1: {}

  is-finalizationregistry@1.0.2:
@@ -16112,10 +15846,6 @@ snapshots:

  is-word-character@1.0.4: {}

-  is-wsl@2.2.0:
-    dependencies:
-      is-docker: 2.2.1
-
  isarray@1.0.0: {}

  isarray@2.0.5: {}
@@ -16521,8 +16251,6 @@ snapshots:

  js-cookie@3.0.5: {}

-  js-md4@0.3.2: {}
-
  js-tokens@4.0.0: {}

  js-tokens@9.0.0: {}
@@ -16621,22 +16349,11 @@ snapshots:
      ecdsa-sig-formatter: 1.0.11
      safe-buffer: 5.2.1

-  jwa@2.0.0:
-    dependencies:
-      buffer-equal-constant-time: 1.0.1
-      ecdsa-sig-formatter: 1.0.11
-      safe-buffer: 5.2.1
-
  jws@3.2.2:
    dependencies:
      jwa: 1.4.1
      safe-buffer: 5.2.1

-  jws@4.0.0:
-    dependencies:
-      jwa: 2.0.0
-      safe-buffer: 5.2.1
-
  kareem@2.5.1: {}

  katex@0.16.11:
@@ -17608,9 +17325,9 @@ snapshots:
    dependencies:
      async-mutex: 0.4.1
      camelcase: 6.3.0
-      debug: 4.3.7
+      debug: 4.3.4
      find-cache-dir: 3.3.2
-      follow-redirects: 1.15.9(debug@4.3.7)
+      follow-redirects: 1.15.9(debug@4.3.4)
      https-proxy-agent: 7.0.5
      mongodb: 5.9.2
      new-find-package-json: 2.0.0
@@ -17701,17 +17418,6 @@ snapshots:

  ms@2.1.3: {}

-  mssql@11.0.1:
-    dependencies:
-      '@tediousjs/connection-string': 0.5.0
-      commander: 11.0.0
-      debug: 4.3.7
-      rfdc: 1.4.1
-      tarn: 3.0.2
-      tedious: 18.6.1
-    transitivePeerDependencies:
-      - supports-color
-
  multer@1.4.5-lts.1:
    dependencies:
      append-field: 1.0.0
@@ -17751,8 +17457,6 @@ snapshots:

  napi-build-utils@1.0.2: {}

-  native-duplexpair@1.0.0: {}
-
  natural-compare@1.4.0: {}

  needle@3.3.1:
@@ -17782,6 +17486,18 @@ snapshots:
      react: 18.3.1
      react-i18next: 14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)

+  next-i18next@15.3.0(i18next@23.11.5)(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8))(react-i18next@14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react@18.3.1):
+    dependencies:
+      '@babel/runtime': 7.24.8
+      '@types/hoist-non-react-statics': 3.3.5
+      core-js: 3.37.1
+      hoist-non-react-statics: 3.3.2
+      i18next: 23.11.5
+      i18next-fs-backend: 2.3.1
+      next: 14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
+      react: 18.3.1
+      react-i18next: 14.1.2(i18next@23.11.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+
  next@14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8):
    dependencies:
      '@next/env': 14.2.5
@@ -17808,10 +17524,36 @@ snapshots:
      - '@babel/core'
      - babel-plugin-macros

+  next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8):
+    dependencies:
+      '@next/env': 14.2.5
+      '@swc/helpers': 0.5.5
+      busboy: 1.6.0
+      caniuse-lite: 1.0.30001669
+      graceful-fs: 4.2.11
+      postcss: 8.4.31
+      react: 18.3.1
+      react-dom: 18.3.1(react@18.3.1)
+      styled-jsx: 5.1.1(react@18.3.1)
+    optionalDependencies:
+      '@next/swc-darwin-arm64': 14.2.5
+      '@next/swc-darwin-x64': 14.2.5
+      '@next/swc-linux-arm64-gnu': 14.2.5
+      '@next/swc-linux-arm64-musl': 14.2.5
+      '@next/swc-linux-x64-gnu': 14.2.5
+      '@next/swc-linux-x64-musl': 14.2.5
+      '@next/swc-win32-arm64-msvc': 14.2.5
+      '@next/swc-win32-ia32-msvc': 14.2.5
+      '@next/swc-win32-x64-msvc': 14.2.5
+      sass: 1.77.8
+    transitivePeerDependencies:
+      - '@babel/core'
+      - babel-plugin-macros
+
  nextjs-cors@2.2.0(next@14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)):
    dependencies:
      cors: 2.8.5
-      next: 14.2.5(@babel/core@7.24.9)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)
+      next: 14.2.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.77.8)

  nextjs-node-loader@1.1.5(webpack@5.92.1):
    dependencies:
@@ -17967,12 +17709,6 @@ snapshots:
    dependencies:
      mimic-fn: 4.0.0

-  open@8.4.2:
-    dependencies:
-      define-lazy-prop: 2.0.0
-      is-docker: 2.2.1
-      is-wsl: 2.2.0
-
  openai@4.61.0(encoding@0.1.13):
    dependencies:
      '@types/node': 18.19.40
@@ -18519,7 +18255,7 @@ snapshots:
    dependencies:
      react: 18.3.1
      react-style-singleton: 2.2.1(@types/react@18.3.1)(react@18.3.1)
-      tslib: 2.8.0
+      tslib: 2.6.3
    optionalDependencies:
      '@types/react': 18.3.1

@@ -18547,7 +18283,7 @@ snapshots:
      get-nonce: 1.0.1
      invariant: 2.2.4
      react: 18.3.1
-      tslib: 2.8.0
+      tslib: 2.6.3
    optionalDependencies:
      '@types/react': 18.3.1

@@ -19132,8 +18868,6 @@ snapshots:
    dependencies:
      internal-slot: 1.0.7

-  stoppable@1.1.0: {}
-
  streamsearch@1.1.0: {}

  streamx@2.20.0:
@@ -19265,6 +18999,11 @@ snapshots:
      '@babel/core': 7.24.9
      babel-plugin-macros: 3.1.0

+  styled-jsx@5.1.1(react@18.3.1):
+    dependencies:
+      client-only: 0.0.1
+      react: 18.3.1
+
  stylis@4.2.0: {}

  stylis@4.3.2: {}
@@ -19363,23 +19102,6 @@ snapshots:
      mkdirp: 1.0.4
      yallist: 4.0.0

-  tarn@3.0.2: {}
-
-  tedious@18.6.1:
-    dependencies:
-      '@azure/core-auth': 1.9.0
-      '@azure/identity': 4.6.0
-      '@azure/keyvault-keys': 4.9.0
-      '@js-joda/core': 5.6.4
-      '@types/node': 20.14.11
-      bl: 6.0.19
-      iconv-lite: 0.6.3
-      js-md4: 0.3.2
-      native-duplexpair: 1.0.0
-      sprintf-js: 1.1.3
-    transitivePeerDependencies:
-      - supports-color
-
  terser-webpack-plugin@5.3.10(webpack@5.92.1):
    dependencies:
      '@jridgewell/trace-mapping': 0.3.25
@@ -19888,7 +19610,7 @@ snapshots:
  vite-node@1.6.0(@types/node@22.7.8)(sass@1.77.8)(terser@5.31.3):
    dependencies:
      cac: 6.7.14
-      debug: 4.3.7
+      debug: 4.3.5
      pathe: 1.1.2
      picocolors: 1.0.1
      vite: 5.3.4(@types/node@22.7.8)(sass@1.77.8)(terser@5.31.3)
--- a/projects/app/public/docs/chatProblem.md
+++ b/projects/app/public/docs/chatProblem.md
@@ -1,8 +1,11 @@
 ### 常见问题

 - [**Git 地址**，点击查看项目地址](https://github.com/labring/FastGPT)
- [点击查看官方文档](https://doc.tryfastgpt.ai/docs/)
- [点击查看商业版文档](https://doc.tryfastgpt.ai/docs/shopping_cart/intro/)
+- [本地部署 FastGPT](https://doc.tryfastgpt.ai/docs/installation)
+- [API 文档](https://doc.tryfastgpt.ai/docs/development/openapi?pre_pathname=%2Fdrive%2Fhome%2F)
+- **反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
+- **问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [点击查看商业版文档](https://doc.tryfastgpt.ai/docs/commercial)
 - [计费规则](https://doc.tryfastgpt.ai/docs/pricing/)

 **其他问题**
--- a/projects/app/public/docs/versionIntro.md
+++ b/projects/app/public/docs/versionIntro.md
@@ -1,13 +1,12 @@
 ### FastGPT V4.8.20 更新说明

 1. 新增 - 使用记录导出和仪表盘。
-2. 新增 - DeepSeek resoner 模型支持输出思考过程。
-3. 新增 - markdown 语法扩展，支持音视频（代码块 audio 和 video）。
-4. 新增 - 飞书/语雀知识库。
-5. 新增 - 工作流知识库检索支持按知识库权限进行过滤。
-6. 新增 - 流程等待插件，可以等待 n 毫秒后继续执行流程。
-7. 新增 - 飞书机器人接入，支持配置私有化飞书地址。
-8. 新增 - 支持通过 JSON 配置直接创建应用。
-9. 新增 - 支持通过 CURL 脚本快速创建 HTTP 插件。
-10. 新增 - 支持部门架构权限模式。
+2. 新增 - markdown 语法扩展，支持音视频（代码块 audio 和 video）。
+3. 新增 - 飞书/语雀知识库。
+4. 新增 - 工作流知识库检索支持按知识库权限进行过滤。
+5. 新增 - 流程等待插件，可以等待 n 毫秒后继续执行流程。
+6. 新增 - 飞书机器人接入，支持配置私有化飞书地址。
+7. 新增 - 支持通过 JSON 配置直接创建应用。
+8. 新增 - 支持通过 CURL 脚本快速创建 HTTP 插件。
+9. 新增 - 支持部门架构权限模式。

--- a/projects/app/src/components/Layout/index.tsx
+++ b/projects/app/src/components/Layout/index.tsx
@@ -73,8 +73,6 @@ const Layout = ({ children }: { children: JSX.Element }) => {

  const showUpdateNotification =
    isUpdateNotification &&
-    feConfigs?.bind_notification_method &&
-    feConfigs?.bind_notification_method.length > 0 &&
    !userInfo?.team.notificationAccount &&
    !!userInfo?.team.permission.isOwner;

--- a/projects/app/src/components/core/ai/AISettingModal/index.tsx
+++ b/projects/app/src/components/core/ai/AISettingModal/index.tsx
@@ -72,7 +72,6 @@ const AIChatSettingsModal = ({
    defaultValues: defaultData
  });
  const model = watch('model');
-  const reasoning = watch(NodeInputKeyEnum.aiChatReasoning);
  const showResponseAnswerText = watch(NodeInputKeyEnum.aiChatIsResponseText) !== undefined;
  const showVisionSwitch = watch(NodeInputKeyEnum.aiChatVision) !== undefined;
  const showMaxHistoriesSlider = watch('maxHistories') !== undefined;
@@ -85,8 +84,6 @@ const AIChatSettingsModal = ({
    return getWebLLMModel(model);
  }, [model]);
  const llmSupportVision = !!selectedModel?.vision;
-  const llmSupportTemperature = typeof selectedModel?.maxTemperature === 'number';
-  const llmSupportReasoning = !!selectedModel?.reasoning;

  const tokenLimit = useMemo(() => {
    return selectedModel?.maxResponse || 4096;
@@ -261,51 +258,36 @@ const AIChatSettingsModal = ({
            />
          </Box>
        </Flex>
-        {llmSupportTemperature && (
-          <Flex {...FlexItemStyles}>
-            <Box {...LabelStyles}>
-              <Flex alignItems={'center'}>
-                {t('app:temperature')}
-                <QuestionTip label={t('app:temperature_tip')} />
-              </Flex>
-              <Switch
-                isChecked={temperature !== undefined}
-                size={'sm'}
-                onChange={(e) => {
-                  setValue('temperature', e.target.checked ? 0 : undefined);
-                }}
-              />
-            </Box>
-            <Box flex={'1 0 0'}>
-              <InputSlider
-                min={0}
-                max={10}
-                step={1}
-                value={temperature}
-                isDisabled={temperature === undefined}
-                onChange={(e) => {
-                  setValue(NodeInputKeyEnum.aiChatTemperature, e);
-                  setRefresh(!refresh);
-                }}
-              />
-            </Box>
-          </Flex>
-        )}
-        {llmSupportReasoning && (
-          <Flex {...FlexItemStyles} h={'25px'}>
-            <Box {...LabelStyles}>
-              <Flex alignItems={'center'}>{t('app:reasoning_response')}</Flex>
-              <Switch
-                isChecked={reasoning || false}
-                size={'sm'}
-                onChange={(e) => {
-                  const value = e.target.checked;
-                  setValue(NodeInputKeyEnum.aiChatReasoning, value);
-                }}
-              />
-            </Box>
-          </Flex>
-        )}
+        <Flex {...FlexItemStyles}>
+          <Box {...LabelStyles}>
+            <Flex alignItems={'center'}>
+              {t('app:temperature')}
+              <QuestionTip label={t('app:temperature_tip')} />
+            </Flex>
+            <Switch
+              isChecked={temperature !== undefined}
+              size={'sm'}
+              onChange={(e) => {
+                setValue('temperature', e.target.checked ? 0 : undefined);
+              }}
+            />
+          </Box>
+
+          <Box flex={'1 0 0'}>
+            <InputSlider
+              min={0}
+              max={10}
+              step={1}
+              value={temperature}
+              isDisabled={temperature === undefined}
+              onChange={(e) => {
+                setValue(NodeInputKeyEnum.aiChatTemperature, e);
+                setRefresh(!refresh);
+              }}
+            />
+          </Box>
+        </Flex>
+
        {showResponseAnswerText && (
          <Flex {...FlexItemStyles} h={'25px'}>
            <Box {...LabelStyles}>
--- a/projects/app/src/components/core/chat/ChatContainer/ChatBox/index.tsx
+++ b/projects/app/src/components/core/chat/ChatContainer/ChatBox/index.tsx
@@ -201,7 +201,6 @@ const ChatBox = ({
    ({
      event,
      text = '',
-      reasoningText,
      status,
      name,
      tool,
@@ -226,25 +225,6 @@ const ChatBox = ({
              status,
              moduleName: name
            };
-          } else if (event === SseResponseEventEnum.answer && reasoningText) {
-            if (lastValue.type === ChatItemValueTypeEnum.reasoning && lastValue.reasoning) {
-              lastValue.reasoning.content += reasoningText;
-              return {
-                ...item,
-                value: item.value.slice(0, -1).concat(lastValue)
-              };
-            } else {
-              const val: AIChatItemValueItemType = {
-                type: ChatItemValueTypeEnum.reasoning,
-                reasoning: {
-                  content: reasoningText
-                }
-              };
-              return {
-                ...item,
-                value: item.value.concat(val)
-              };
-            }
          } else if (
            (event === SseResponseEventEnum.answer || event === SseResponseEventEnum.fastAnswer) &&
            text
--- a/projects/app/src/components/core/chat/ChatContainer/type.d.ts
+++ b/projects/app/src/components/core/chat/ChatContainer/type.d.ts
@@ -6,7 +6,6 @@ import { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/t
 export type generatingMessageProps = {
  event: SseResponseEventEnum;
  text?: string;
-  reasoningText?: string;
  name?: string;
  status?: 'running' | 'finish';
  tool?: ToolModuleResponseItemType;
--- a/projects/app/src/components/core/chat/components/AIResponseBox.tsx
+++ b/projects/app/src/components/core/chat/components/AIResponseBox.tsx
@@ -8,7 +8,6 @@ import {
  Box,
  Button,
  Flex,
-  HStack,
  Textarea
 } from '@chakra-ui/react';
 import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
@@ -140,58 +139,6 @@ ${toolResponse}`}
  },
  (prevProps, nextProps) => isEqual(prevProps, nextProps)
 );
-const RenderResoningContent = React.memo(function RenderResoningContent({
-  content,
-  isChatting,
-  isLastResponseValue
-}: {
-  content: string;
-  isChatting: boolean;
-  isLastResponseValue: boolean;
-}) {
-  const { t } = useTranslation();
-  const showAnimation = isChatting && isLastResponseValue;
-
-  return (
-    <Accordion allowToggle defaultIndex={isLastResponseValue ? 0 : undefined}>
-      <AccordionItem borderTop={'none'} borderBottom={'none'}>
-        <AccordionButton
-          w={'auto'}
-          bg={'white'}
-          borderRadius={'md'}
-          borderWidth={'1px'}
-          borderColor={'myGray.200'}
-          boxShadow={'1'}
-          pl={3}
-          pr={2.5}
-          py={1}
-          _hover={{
-            bg: 'auto'
-          }}
-        >
-          <HStack mr={2} spacing={1}>
-            <MyIcon name={'core/chat/think'} w={'0.85rem'} />
-            <Box fontSize={'sm'}>{t('chat:ai_reasoning')}</Box>
-          </HStack>
-
-          {showAnimation && <MyIcon name={'common/loading'} w={'0.85rem'} />}
-          <AccordionIcon color={'myGray.600'} ml={5} />
-        </AccordionButton>
-        <AccordionPanel
-          py={0}
-          pr={0}
-          pl={3}
-          mt={2}
-          borderLeft={'2px solid'}
-          borderColor={'myGray.300'}
-          color={'myGray.500'}
-        >
-          <Markdown source={content} showAnimation={showAnimation} />
-        </AccordionPanel>
-      </AccordionItem>
-    </Accordion>
-  );
-});
 const RenderUserSelectInteractive = React.memo(function RenderInteractive({
  interactive
 }: {
@@ -343,14 +290,6 @@ const AIResponseBox = ({ value, isLastResponseValue, isChatting }: props) => {
    return (
      <RenderText showAnimation={isChatting && isLastResponseValue} text={value.text.content} />
    );
-  if (value.type === ChatItemValueTypeEnum.reasoning && value.reasoning)
-    return (
-      <RenderResoningContent
-        isChatting={isChatting}
-        isLastResponseValue={isLastResponseValue}
-        content={value.reasoning.content}
-      />
-    );
  if (value.type === ChatItemValueTypeEnum.tool && value.tools)
    return <RenderTool showAnimation={isChatting} tools={value.tools} />;
  if (value.type === ChatItemValueTypeEnum.interactive && value.interactive) {
--- a/projects/app/src/pageComponents/account/model/ModelConfigTable.tsx
+++ b/projects/app/src/pageComponents/account/model/ModelConfigTable.tsx
@@ -58,7 +58,6 @@ import CopyBox from '@fastgpt/web/components/common/String/CopyBox';
 import MyIcon from '@fastgpt/web/components/common/Icon';
 import AIModelSelector from '@/components/Select/AIModelSelector';
 import { useRefresh } from '../../../../../../packages/web/hooks/useRefresh';
-import { Prompt_CQJson, Prompt_ExtractJson } from '@fastgpt/global/core/ai/prompt/agent';

 const MyModal = dynamic(() => import('@fastgpt/web/components/common/MyModal'));

@@ -804,10 +803,6 @@ const ModelEditModal = ({
                          <JsonEditor
                            value={JSON.stringify(getValues('defaultConfig'), null, 2)}
                            onChange={(e) => {
-                              if (!e) {
-                                setValue('defaultConfig', {});
-                                return;
-                              }
                              try {
                                setValue('defaultConfig', JSON.parse(e));
                              } catch (error) {
@@ -922,19 +917,6 @@ const ModelEditModal = ({
                      </Flex>
                    </Td>
                  </Tr>
-                  <Tr>
-                    <Td>
-                      <HStack spacing={1}>
-                        <Box>{t('account:model.reasoning')}</Box>
-                        <QuestionTip label={t('account:model.reasoning_tip')} />
-                      </HStack>
-                    </Td>
-                    <Td textAlign={'right'}>
-                      <Flex justifyContent={'flex-end'}>
-                        <Switch {...register('reasoning')} />
-                      </Flex>
-                    </Td>
-                  </Tr>
                  {feConfigs?.isPlus && (
                    <Tr>
                      <Td>
@@ -997,9 +979,7 @@ const ModelEditModal = ({
                    <Td>
                      <HStack spacing={1}>
                        <Box>{t('account:model.custom_cq_prompt')}</Box>
-                        <QuestionTip
-                          label={t('account:model.custom_cq_prompt_tip', { prompt: Prompt_CQJson })}
-                        />
+                        <QuestionTip label={t('account:model.custom_cq_prompt_tip')} />
                      </HStack>
                    </Td>
                    <Td textAlign={'right'}>
@@ -1010,11 +990,7 @@ const ModelEditModal = ({
                    <Td>
                      <HStack spacing={1}>
                        <Box>{t('account:model.custom_extract_prompt')}</Box>
-                        <QuestionTip
-                          label={t('account:model.custom_extract_prompt_tip', {
-                            prompt: Prompt_ExtractJson
-                          })}
-                        />
+                        <QuestionTip label={t('account:model.custom_extract_prompt_tip')} />
                      </HStack>
                    </Td>
                    <Td textAlign={'right'}>
@@ -1033,10 +1009,6 @@ const ModelEditModal = ({
                        value={JSON.stringify(getValues('defaultConfig'), null, 2)}
                        resize
                        onChange={(e) => {
-                          if (!e) {
-                            setValue('defaultConfig', {});
-                            return;
-                          }
                          try {
                            setValue('defaultConfig', JSON.parse(e));
                          } catch (error) {
--- a/projects/app/src/pageComponents/account/team/GroupManage/GroupManageMember.tsx
+++ b/projects/app/src/pageComponents/account/team/GroupManage/GroupManageMember.tsx
@@ -14,7 +14,7 @@ import Avatar from '@fastgpt/web/components/common/Avatar';
 import Tag from '@fastgpt/web/components/common/Tag';

 import { useTranslation } from 'next-i18next';
-import React, { useMemo, useRef, useState } from 'react';
+import React, { useMemo, useState } from 'react';
 import { useRequest2 } from '@fastgpt/web/hooks/useRequest';
 import { useContextSelector } from 'use-context-selector';
 import { TeamContext } from '../context';
@@ -50,8 +50,6 @@ function GroupEditModal({ onClose, editGroupId }: { onClose: () => void; editGro
  const refetchMembers = useContextSelector(TeamContext, (v) => v.refetchMembers);
  const MemberScrollData = useContextSelector(TeamContext, (v) => v.MemberScrollData);
  const [hoveredMemberId, setHoveredMemberId] = useState<string>();
-
-  const selectedMembersRef = useRef<HTMLDivElement>(null);
  const [members, setMembers] = useState(group?.members || []);

  const [searchKey, setSearchKey] = useState('');
@@ -157,7 +155,7 @@ function GroupEditModal({ onClose, editGroupId }: { onClose: () => void; editGro
                setSearchKey(e.target.value);
              }}
            />
-            <MemberScrollData mt={3} flexGrow="1" overflow={'auto'} maxH={'400px'}>
+            <MemberScrollData mt={3} flex={'1 0 0'} h={0}>
              {filtered.map((member) => {
                return (
                  <HStack
@@ -187,7 +185,7 @@ function GroupEditModal({ onClose, editGroupId }: { onClose: () => void; editGro
          </Flex>
          <Flex borderLeft="1px" borderColor="myGray.200" flexDirection="column" p="4" h={'100%'}>
            <Box mt={2}>{t('common:chosen') + ': ' + members.length}</Box>
-            <MemberScrollData ScrollContainerRef={selectedMembersRef} mt={3} flex={'1 0 0'} h={0}>
+            <MemberScrollData mt={3} flex={'1 0 0'} h={0}>
              {members.map((member) => {
                return (
                  <HStack
--- a/projects/app/src/pageComponents/account/team/MemberTable.tsx
+++ b/projects/app/src/pageComponents/account/team/MemberTable.tsx
@@ -169,8 +169,8 @@ function MemberTable({ Tabs }: { Tabs: React.ReactNode }) {
      </Flex>

      <Box flex={'1 0 0'} overflow={'auto'}>
-        <MemberScrollData>
-          <TableContainer overflow={'unset'} fontSize={'sm'}>
+        <TableContainer overflow={'unset'} fontSize={'sm'}>
+          <MemberScrollData>
            <Table overflow={'unset'}>
              <Thead>
                <Tr bgColor={'white !important'}>
@@ -246,9 +246,9 @@ function MemberTable({ Tabs }: { Tabs: React.ReactNode }) {
                ))}
              </Tbody>
            </Table>
-            <ConfirmRemoveMemberModal />
-          </TableContainer>
-        </MemberScrollData>
+          </MemberScrollData>
+          <ConfirmRemoveMemberModal />
+        </TableContainer>
      </Box>

      <ConfirmLeaveTeamModal />
--- a/projects/app/src/pageComponents/account/team/OrgManage/OrgMemberManageModal.tsx
+++ b/projects/app/src/pageComponents/account/team/OrgManage/OrgMemberManageModal.tsx
@@ -121,34 +121,36 @@ function OrgMemberManageModal({
                setSearchKey(e.target.value);
              }}
            />
-            <MemberScrollData mt={3} flexGrow="1" overflow={'auto'} maxH={'400px'}>
-              {filterMembers.map((member) => {
-                return (
-                  <HStack
-                    py="2"
-                    px={3}
-                    borderRadius={'md'}
-                    alignItems="center"
-                    key={member.tmbId}
-                    cursor={'pointer'}
-                    _hover={{
-                      bg: 'myGray.50',
-                      ...(!isSelected(member.tmbId) ? { svg: { color: 'myGray.50' } } : {})
-                    }}
-                    _notLast={{ mb: 2 }}
-                    onClick={() => handleToggleSelect(member.tmbId)}
-                  >
-                    <Checkbox
-                      isChecked={!!isSelected(member.tmbId)}
-                      icon={<CheckboxIcon name={'common/check'} />}
-                      pointerEvents="none"
-                    />
-                    <Avatar src={member.avatar} w="1.5rem" borderRadius={'50%'} />
-                    <Box>{member.memberName}</Box>
-                  </HStack>
-                );
-              })}
-            </MemberScrollData>
+            <Flex flexDirection="column" mt={3} flexGrow="1" overflow={'auto'} maxH={'400px'}>
+              <MemberScrollData>
+                {filterMembers.map((member) => {
+                  return (
+                    <HStack
+                      py="2"
+                      px={3}
+                      borderRadius={'md'}
+                      alignItems="center"
+                      key={member.tmbId}
+                      cursor={'pointer'}
+                      _hover={{
+                        bg: 'myGray.50',
+                        ...(!isSelected(member.tmbId) ? { svg: { color: 'myGray.50' } } : {})
+                      }}
+                      _notLast={{ mb: 2 }}
+                      onClick={() => handleToggleSelect(member.tmbId)}
+                    >
+                      <Checkbox
+                        isChecked={!!isSelected(member.tmbId)}
+                        icon={<CheckboxIcon name={'common/check'} />}
+                        pointerEvents="none"
+                      />
+                      <Avatar src={member.avatar} w="1.5rem" borderRadius={'50%'} />
+                      <Box>{member.memberName}</Box>
+                    </HStack>
+                  );
+                })}
+              </MemberScrollData>
+            </Flex>
          </Flex>
          <Flex borderLeft="1px" borderColor="myGray.200" flexDirection="column" p="4" h={'100%'}>
            <Box mt={2}>{`${t('common:chosen')}:${selectedMembers.length}`}</Box>
--- a/projects/app/src/pageComponents/app/detail/SimpleApp/EditForm.tsx
+++ b/projects/app/src/pageComponents/app/detail/SimpleApp/EditForm.tsx
@@ -138,16 +138,9 @@ const EditForm = ({
                  model: appForm.aiSettings.model,
                  temperature: appForm.aiSettings.temperature,
                  maxToken: appForm.aiSettings.maxToken,
-                  maxHistories: appForm.aiSettings.maxHistories,
-                  aiChatReasoning: appForm.aiSettings.aiChatReasoning ?? true
+                  maxHistories: appForm.aiSettings.maxHistories
                }}
-                onChange={({
-                  model,
-                  temperature,
-                  maxToken,
-                  maxHistories,
-                  aiChatReasoning = false
-                }) => {
+                onChange={({ model, temperature, maxToken, maxHistories }: SettingAIDataType) => {
                  setAppForm((state) => ({
                    ...state,
                    aiSettings: {
@@ -155,8 +148,7 @@ const EditForm = ({
                      model,
                      temperature,
                      maxToken,
-                      maxHistories: maxHistories ?? 6,
-                      aiChatReasoning
+                      maxHistories: maxHistories ?? 6
                    }
                  }));
                }}
--- a/projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/render/RenderInput/templates/SettingLLMModel.tsx
+++ b/projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/render/RenderInput/templates/SettingLLMModel.tsx
@@ -38,9 +38,7 @@ const SelectAiModelRender = ({ item, inputs = [], nodeId }: RenderInputProps) =>
        (input) => input.key === NodeInputKeyEnum.aiChatIsResponseText
      )?.value,
      aiChatVision:
-        inputs.find((input) => input.key === NodeInputKeyEnum.aiChatVision)?.value ?? true,
-      aiChatReasoning:
-        inputs.find((input) => input.key === NodeInputKeyEnum.aiChatReasoning)?.value ?? true
+        inputs.find((input) => input.key === NodeInputKeyEnum.aiChatVision)?.value ?? true
    }),
    [inputs]
  );
--- a/projects/app/src/pages/api/core/ai/model/test.ts
+++ b/projects/app/src/pages/api/core/ai/model/test.ts
@@ -66,11 +66,9 @@ const testLLMModel = async (model: LLMModelItemType) => {
    },
    {
      ...(model.requestUrl ? { path: model.requestUrl } : {}),
-      headers: model.requestAuth
-        ? {
-            Authorization: `Bearer ${model.requestAuth}`
-          }
-        : undefined
+      headers: {
+        ...(model.requestAuth ? { Authorization: `Bearer ${model.requestAuth}` } : {})
+      }
    }
  );

@@ -100,14 +98,12 @@ const testTTSModel = async (model: TTSModelType) => {
      response_format: 'mp3',
      speed: 1
    },
-    model.requestUrl
+    model.requestUrl && model.requestAuth
      ? {
          path: model.requestUrl,
-          headers: model.requestAuth
-            ? {
-                Authorization: `Bearer ${model.requestAuth}`
-              }
-            : undefined
+          headers: {
+            Authorization: `Bearer ${model.requestAuth}`
+          }
        }
      : {}
  );
--- a/projects/app/src/service/core/app/workflow.ts
+++ b/projects/app/src/service/core/app/workflow.ts
@@ -6,7 +6,7 @@ export const getChatModelNameListByModules = (nodes: StoreNodeItemType[]): strin
  const modelList = nodes
    .map((item) => {
      const model = item.inputs.find((input) => input.key === NodeInputKeyEnum.aiModel)?.value;
-      return model ? getLLMModel(model)?.name : '';
+      return getLLMModel(model)?.name || '';
    })
    .filter(Boolean);

--- a/projects/app/src/web/common/api/fetch.ts
+++ b/projects/app/src/web/common/api/fetch.ts
@@ -186,12 +186,6 @@ export const streamFetch = ({
                text: item
              });
            }
-
-            const reasoningText = parseJson.choices?.[0]?.delta?.reasoning_content || '';
-            onMessage({
-              event,
-              reasoningText
-            });
          } else if (event === SseResponseEventEnum.fastAnswer) {
            const text = parseJson.choices?.[0]?.delta?.content || '';
            pushDataToQueue({
--- a/projects/app/src/web/core/app/templates.ts
+++ b/projects/app/src/web/core/app/templates.ts
@@ -1,7 +1,7 @@
 import { parseCurl } from '@fastgpt/global/common/string/http';
 import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
 import { AppSchema } from '@fastgpt/global/core/app/type';
-import { NodeInputKeyEnum, WorkflowIOValueTypeEnum } from '@fastgpt/global/core/workflow/constants';
+import { WorkflowIOValueTypeEnum } from '@fastgpt/global/core/workflow/constants';
 import {
  FlowNodeInputTypeEnum,
  FlowNodeOutputTypeEnum,
@@ -150,7 +150,7 @@ export const emptyTemplates: Record<
            key: 'temperature',
            renderTypeList: [FlowNodeInputTypeEnum.hidden],
            label: '',
-            value: undefined,
+            value: 0,
            valueType: WorkflowIOValueTypeEnum.number,
            min: 0,
            max: 10,
@@ -160,7 +160,7 @@ export const emptyTemplates: Record<
            key: 'maxToken',
            renderTypeList: [FlowNodeInputTypeEnum.hidden],
            label: '',
-            value: undefined,
+            value: 2000,
            valueType: WorkflowIOValueTypeEnum.number,
            min: 100,
            max: 4000,
@@ -221,13 +221,6 @@ export const emptyTemplates: Record<
            debugLabel: i18nT('common:core.module.Dataset quote.label'),
            description: '',
            valueType: WorkflowIOValueTypeEnum.datasetQuote
-          },
-          {
-            key: NodeInputKeyEnum.aiChatReasoning,
-            renderTypeList: [FlowNodeInputTypeEnum.hidden],
-            label: '',
-            valueType: WorkflowIOValueTypeEnum.boolean,
-            value: true
          }
        ],
        outputs: [
--- a/projects/app/src/web/core/app/utils.ts
+++ b/projects/app/src/web/core/app/utils.ts
@@ -190,13 +190,6 @@ export function form2AppWorkflow(
          label: '',
          valueType: WorkflowIOValueTypeEnum.boolean,
          value: true
-        },
-        {
-          key: NodeInputKeyEnum.aiChatReasoning,
-          renderTypeList: [FlowNodeInputTypeEnum.hidden],
-          label: '',
-          valueType: WorkflowIOValueTypeEnum.boolean,
-          value: formData.aiSettings.aiChatReasoning
        }
      ],
      outputs: AiChatModule.outputs
Author	SHA1	Message	Date
archer	8af3d85b8a	add gemini model	2025-01-25 14:25:10 +08:00
archer	fcf14af64d	comment	2025-01-25 14:21:21 +08:00
heheer	991fbe254c	fix interactive edge (#3659 ) * fix interactive edge * fix	2025-01-25 14:12:12 +08:00
Archer	ab0fc517dc	fix: err tip (#3666 ) * fix: err tip * perf: training queue * doc	2025-01-25 14:10:56 +08:00
Archer	92105e9a0b	reload buffer (#3665 ) * reload buffer * reload buffer * tts selector	2025-01-25 13:12:21 +08:00
Archer	d2948d7e57	feat: markdown extension (#3663 ) * feat: markdown extension * media cros * rerank test * default price * perf: default model * fix: cannot custom provider * fix: default model select * update bg * perf: default model selector * fix: usage export * i18n * fix: rerank * update init extension * perf: ip limit check * doubao model order * web default modle * perf: tts selector * perf: tts error * qrcode package	2025-01-24 23:42:04 +08:00
heheer	02fcb6a61e	export usage csv i18n (#3660 ) * export usage csv i18n * fix build	2025-01-24 19:09:08 +08:00
a.e.	4f5a12f33b	fix: false triggerd org selection (#3661 )	2025-01-24 19:07:36 +08:00
Archer	38efa3e050	feat: default model (#3662 ) * move model config * feat: default model	2025-01-24 18:44:43 +08:00
a.e.	5ce889942a	fix: POST 500 error on dingtalk bot (#3655 )	2025-01-24 14:10:40 +08:00
Archer	60c72d05d1	model perf (#3657 ) * fix: model * dataset quote * perf: model config * model tag * doubao model config * perf: config model * feat: model test	2025-01-24 14:10:14 +08:00
Archer	99ce976b06	4.8.20 test (#3656 ) * provider * perf: model config	2025-01-23 18:32:45 +08:00
heheer	2c03abc6e1	add default model config (#3653 )	2025-01-23 18:19:57 +08:00
Archer	34b510cba1	perf: usages list；perf: move components (#3654 ) * perf: usages list * team sub plan load * perf: usage dashboard code * perf: dashboard ui * perf: move components	2025-01-23 17:29:39 +08:00
heheer	0c05add8b2	feat: usage filter & export & dashbord (#3538 ) * feat: usage filter & export & dashbord * adjust ui * fix tmb scroll * fix code & selecte all * merge	2025-01-23 10:54:30 +08:00
Archer	e009be51e7	Aiproxy (#3649 ) * model config * feat: model config ui * perf: rename variable * feat: custom request url * perf: model buffer * perf: init model * feat: json model config * auto login * fix: ts * update packages * package * fix: dockerfile	2025-01-22 22:59:28 +08:00
				`@@ -1 +0,0 @@`
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