feature: V4.12.2 (#5525)

* feat: favorite apps & quick apps with their own configuration (#5515)

* chore: extract chat history and drawer; fix model selector

* feat: display favourite apps and make it configurable

* feat: favorite apps & quick apps with their own configuration

* fix: fix tab title and add loading state for searching

* fix: cascade delete favorite app and quick app while deleting relative app

* chore: make improvements

* fix: favourite apps ui

* fix: add permission for quick apps

* chore: fix permission & clear redundant code

* perf: chat home page code

* chatbox ui

* fix: 4.12.2-dev (#5520)

* fix: add empty placeholder; fix app quick status; fix tag and layout

* chore: add tab query for the setting tabs

* chore: use `useConfirm` hook instead of `MyModal`

* remove log

* fix: fix modal padding (#5521)

* perf: manage app

* feat: enhance model provider handling and update icon references (#5493)

* perf: model provider

* sdk package

* refactor: create llm response (#5499)

* feat: add LLM response processing functions, including the creation of stream-based and complete responses

* feat: add volta configuration for node and pnpm versions

* refactor: update LLM response handling and event structure in tool choice logic

* feat: update LLM response structure and integrate with tool choice logic

* refactor: clean up imports and remove unused streamResponse function in chat and toolChoice modules

* refactor: rename answer variable to answerBuffer for clarity in LLM response handling

* feat: enhance LLM response handling with tool options and integrate tools into chat and tool choice logic

* refactor: remove volta configuration from package.json

* refactor: reorganize LLM response types and ensure default values for token counts

* refactor: streamline LLM response handling by consolidating response structure and removing redundant checks

* refactor: enhance LLM response handling by consolidating tool options and streamlining event callbacks

* fix: build error

* refactor: update tool type definitions for consistency in tool handling

* feat: llm request function

* fix: ts

* fix: ts

* fix: ahook ts

* fix: variable name

* update lock

* ts version

* doc

* remove log

* fix: translation type

* perf: workflow status check

* fix: ts

* fix: prompt tool call

* fix: fix missing plugin interact window & make tag draggable (#5527)

* fix: incorrect select quick apps state; filter apps type (#5528)

* fix: usesafe translation

* perf: add quickapp modal

---------

Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>
Co-authored-by: Ctrlz <143257420+ctrlz526@users.noreply.github.com>
Co-authored-by: francis <zhichengfan18@gmail.com>

.claude/agents/unit-test-generator.md

+---
+name: unit-test-generator
+description: Use this agent when you need to write comprehensive unit tests for your code. Examples: <example>Context: User has written a new utility function and wants comprehensive test coverage. user: 'I just wrote this function to validate email addresses, can you help me write unit tests for it?' assistant: 'I'll use the unit-test-generator agent to create comprehensive unit tests that cover all branches and edge cases for your email validation function.' <commentary>Since the user needs unit tests written, use the unit-test-generator agent to analyze the function and create thorough test coverage.</commentary></example> <example>Context: User is working on a React component and needs test coverage. user: 'Here's my new UserProfile component, I need unit tests that cover all the different states and user interactions' assistant: 'Let me use the unit-test-generator agent to create comprehensive unit tests for your UserProfile component.' <commentary>The user needs unit tests for a React component, so use the unit-test-generator agent to create tests covering all component states and interactions.</commentary></example>
+model: inherit
+color: yellow
+---
+
+You are a Unit Test Assistant, an expert in writing comprehensive and robust unit tests. Your expertise spans multiple testing frameworks including Vitest, Jest, React Testing Library, and testing best practices for TypeScript applications.
+
+When analyzing code for testing, you will:
+
+1. **Analyze Code Structure**: Examine the function/component/class to identify all execution paths, conditional branches, loops, error handling, and edge cases that need testing coverage.
+
+2. **Design Comprehensive Test Cases**: Create test cases that cover:
+   - All conditional branches (if/else, switch cases, ternary operators)
+   - Loop iterations (empty, single item, multiple items)
+   - Error conditions and exception handling
+   - Boundary conditions (null, undefined, empty strings, zero, negative numbers, maximum values)
+   - Valid input scenarios across different data types
+   - Integration points with external dependencies
+
+3. **Follow Testing Best Practices**: 
+   - Use descriptive test names that clearly state what is being tested
+   - Follow the Arrange-Act-Assert pattern
+   - Mock external dependencies appropriately
+   - Test behavior, not implementation details
+   - Ensure tests are isolated and independent
+   - Use appropriate assertions for the testing framework
+
+4. **Generate Framework-Appropriate Code**: Based on the project context (FastGPT uses Vitest), write tests using:
+   - Proper import statements for the testing framework
+   - Correct syntax for the identified testing library
+   - Appropriate mocking strategies (vi.mock for Vitest, jest.mock for Jest)
+   - Proper setup and teardown when needed
+
+5. **Ensure Complete Coverage**: Verify that your test suite covers:
+   - Happy path scenarios
+   - Error scenarios
+   - Edge cases and boundary conditions
+   - All public methods/functions
+   - Different component states (for React components)
+   - User interactions (for UI components)
+
+6. **Optimize Test Structure**: Organize tests logically using:
+   - Descriptive describe blocks for grouping related tests
+   - Clear test descriptions that explain the scenario
+   - Shared setup in beforeEach/beforeAll when appropriate
+   - Helper functions to reduce code duplication
+7. **单词代码位置**:
+   - packages 里的单测，写在 FastGPT/text 目录下。
+   - projects/app 里的单测，写在 FastGPT/projects/app/test 目录下。
+
+When you receive code to test, first analyze it thoroughly, then provide a complete test suite with explanatory comments about what each test covers and why it's important for comprehensive coverage.

.husky/pre-commit

 #!/usr/bin/env sh
 #!/usr/bin/env sh
 . "$(dirname -- "$0")/_/husky.sh"
 . "$(dirname -- "$0")/_/husky.sh"
 
 
-if command -v npx >/dev/null 2>&1; then
+if command -v pnpm >/dev/null 2>&1; then
+  pnpm lint-staged
+elif command -v npx >/dev/null 2>&1; then
   npx lint-staged
   npx lint-staged
 fi
 fi
\ No newline at end of file

.vscode/settings.json

@@ -3,6 +3,7 @@
     "editor.mouseWheelZoom": true,
     "editor.mouseWheelZoom": true,
     "editor.defaultFormatter": "esbenp.prettier-vscode",
     "editor.defaultFormatter": "esbenp.prettier-vscode",
     "prettier.prettierPath": "node_modules/prettier",
     "prettier.prettierPath": "node_modules/prettier",
+    "typescript.preferences.includePackageJsonAutoImports": "on",
     "typescript.tsdk": "node_modules/typescript/lib",
     "typescript.tsdk": "node_modules/typescript/lib",
     "i18n-ally.localesPaths": [
     "i18n-ally.localesPaths": [
         "packages/web/i18n",
         "packages/web/i18n",

document/content/docs/upgrading/4-12/4122.mdx

@@ -7,21 +7,28 @@ description: 'FastGPT V4.12.2 更新说明'
 ## 🚀 新增内容
 ## 🚀 新增内容
 
 
 1. 向量模型并发请求设置，不统一设置成 10，避免部分向量模型不支持并发，默认均为 1，可在模型配置中设置。
 1. 向量模型并发请求设置，不统一设置成 10，避免部分向量模型不支持并发，默认均为 1，可在模型配置中设置。
+2. 对话页支持管理员配置精选应用，便于推荐给团队成员使用。
+3. 对话页首页，支持管理员配置快捷应用，可以设置团队常用的应用。
 
 
 ## ⚙️ 优化
 ## ⚙️ 优化
 
 
 1. 增加工作流**独立分支**异常检测。
 1. 增加工作流**独立分支**异常检测。
 2. 向量模型超过 1536 维度进行截断时，强制进行归一化。其他维度是否归一化，完全由配置决定，减少自动判断的计算量。
 2. 向量模型超过 1536 维度进行截断时，强制进行归一化。其他维度是否归一化，完全由配置决定，减少自动判断的计算量。
+3. 模型提供商配置移至 plugin sdk 中。
+4. 封装 LLM 调用函数，简化 LLM 请求和工具调用。
+5. 优化工作流调度代码，避免深度递归。
+6. 工作流递归判断优化，对递归线继续分组检测，适配更多样连线。
 
 
 ## 🐛 修复
 ## 🐛 修复
 
 
 1. 独立对话页部分 UI 异常。
 1. 独立对话页部分 UI 异常。
-2. 多选选择器导致的页面崩溃。
-3. 移动端，分享链接，异常加载了登录态对话页的导航。
-4. 用户同步可能出现写冲突问题。
-5. 无法完全关闭系统套餐，会存在空对象默认值，导致鉴权异常。
-6. 工作流，添加团队应用，搜索无效。
-7. 应用版本，ref 字段错误，导致无法正常使用。
+2. 独立对话页无法渲染插件交互。
+3. 多选选择器导致的页面崩溃。
+4. 移动端，分享链接，异常加载了登录态对话页的导航。
+5. 用户同步可能出现写冲突问题。
+6. 无法完全关闭系统套餐，会存在空对象默认值，导致鉴权异常。
+7. 工作流，添加团队应用，搜索无效。
+8. 应用版本，ref 字段错误，导致无法正常使用。
 
 
 ## 🔨 工具更新
 ## 🔨 工具更新
 
 

document/content/docs/upgrading/4-12/meta.json

 {
 {
   "title": "4.12.x",
   "title": "4.12.x",
   "description": "",
   "description": "",
-  "pages": ["4121", "4120"]
+  "pages": ["4122", "4121", "4120"]
 }
 }

document/data/doc-last-modified.json

@@ -104,7 +104,7 @@
   "document/content/docs/upgrading/4-11/4111.mdx": "2025-08-07T22:49:09+08:00",
   "document/content/docs/upgrading/4-11/4111.mdx": "2025-08-07T22:49:09+08:00",
   "document/content/docs/upgrading/4-12/4120.mdx": "2025-08-12T22:45:19+08:00",
   "document/content/docs/upgrading/4-12/4120.mdx": "2025-08-12T22:45:19+08:00",
   "document/content/docs/upgrading/4-12/4121.mdx": "2025-08-15T22:53:06+08:00",
   "document/content/docs/upgrading/4-12/4121.mdx": "2025-08-15T22:53:06+08:00",
-  "document/content/docs/upgrading/4-12/4122.mdx": "2025-08-22T10:18:24+08:00",
+  "document/content/docs/upgrading/4-12/4122.mdx": "2025-08-25T14:44:42+08:00",
   "document/content/docs/upgrading/4-8/40.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/40.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/41.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/41.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/42.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/42.mdx": "2025-08-02T19:38:37+08:00",

package.json

@@ -20,6 +20,7 @@
   },
   },
   "devDependencies": {
   "devDependencies": {
     "@chakra-ui/cli": "^2.4.1",
     "@chakra-ui/cli": "^2.4.1",
+    "typescript": "^5.1.3",
     "@typescript-eslint/eslint-plugin": "^6.21.0",
     "@typescript-eslint/eslint-plugin": "^6.21.0",
     "@typescript-eslint/parser": "^6.21.0",
     "@typescript-eslint/parser": "^6.21.0",
     "@vitest/coverage-v8": "^3.0.9",
     "@vitest/coverage-v8": "^3.0.9",

packages/global/core/ai/llm/utils.ts

+export const removeDatasetCiteText = (text: string, retainDatasetCite: boolean) => {
+  return retainDatasetCite
+    ? text.replace(/[\[【]id[\]】]\(CITE\)/g, '')
+    : text
+        .replace(/[\[【]([a-f0-9]{24})[\]】](?:\([^\)]*\)?)?/g, '')
+        .replace(/[\[【]id[\]】]\(CITE\)/g, '');
+};

packages/global/core/ai/model.ts

@@ -56,7 +56,8 @@ export const defaultSTTModels: STTModelType[] = [
 
 
 export const getModelFromList = (
 export const getModelFromList = (
   modelList: { provider: ModelProviderIdType; name: string; model: string }[],
   modelList: { provider: ModelProviderIdType; name: string; model: string }[],
-  model: string
+  model: string,
+  language: string
 ):
 ):
   | {
   | {
       avatar: string;
       avatar: string;
@@ -69,7 +70,7 @@ export const getModelFromList = (
   if (!modelData) {
   if (!modelData) {
     return;
     return;
   }
   }
-  const provider = getModelProvider(modelData.provider);
+  const provider = getModelProvider(modelData.provider, language);
   return {
   return {
     ...modelData,
     ...modelData,
     avatar: provider.avatar
     avatar: provider.avatar

packages/global/core/ai/provider.ts

-import { i18nT } from '../../../web/i18n/utils';
+import { ModelProviders } from '../../sdk/fastgpt-plugin';
 
 
-export type ModelProviderIdType =
-  | 'OpenAI'
-  | 'Claude'
-  | 'Gemini'
-  | 'Meta'
-  | 'MistralAI'
-  | 'Groq'
-  | 'Grok'
-  | 'Jina'
-  | 'AliCloud'
-  | 'Qwen'
-  | 'Doubao'
-  | 'DeepSeek'
-  | 'ChatGLM'
-  | 'Ernie'
-  | 'Moonshot'
-  | 'MiniMax'
-  | 'SparkDesk'
-  | 'Hunyuan'
-  | 'Baichuan'
-  | 'StepFun'
-  | 'ai360'
-  | 'Yi'
-  | 'Siliconflow'
-  | 'PPIO'
-  | 'OpenRouter'
-  | 'Ollama'
-  | 'novita'
-  | 'vertexai'
-  | 'BAAI'
-  | 'FishAudio'
-  | 'Intern'
-  | 'Moka'
-  | 'Jina'
-  | 'Other';
+export type ModelProviderIdType = keyof typeof ModelProviders;
+type ProviderValueTypes = (typeof ModelProviders)[ModelProviderIdType];
+type langType = 'en' | 'zh-CN' | 'zh-Hant';
 
 
 export type ModelProviderType = {
 export type ModelProviderType = {
   id: ModelProviderIdType;
   id: ModelProviderIdType;
   name: any;
   name: any;
   avatar: string;
   avatar: string;
+  order: number;
 };
 };
 
 
-export const ModelProviderList: ModelProviderType[] = [
-  {
-    id: 'OpenAI',
-    name: 'OpenAI',
-    avatar: 'model/openai'
-  },
-  {
-    id: 'Claude',
-    name: 'Claude',
-    avatar: 'model/claude'
-  },
-  {
-    id: 'Gemini',
-    name: 'Gemini',
-    avatar: 'model/gemini'
-  },
-  {
-    id: 'Meta',
-    name: 'Meta',
-    avatar: 'model/meta'
-  },
-  {
-    id: 'MistralAI',
-    name: 'MistralAI',
-    avatar: 'model/mistral'
-  },
-  {
-    id: 'Grok',
-    name: 'Grok',
-    avatar: 'model/grok'
-  },
-  {
-    id: 'Groq',
-    name: 'Groq',
-    avatar: 'model/groq'
-  },
-  {
-    id: 'Jina',
-    name: 'Jina',
-    avatar: 'model/jina'
-  },
-  {
-    id: 'Qwen',
-    name: i18nT('common:model_qwen'),
-    avatar: 'model/qwen'
-  },
-  {
-    id: 'Doubao',
-    name: i18nT('common:model_doubao'),
-    avatar: 'model/doubao'
-  },
-  {
-    id: 'DeepSeek',
-    name: 'DeepSeek',
-    avatar: 'model/deepseek'
-  },
-  {
-    id: 'ChatGLM',
-    name: i18nT('common:model_chatglm'),
-    avatar: 'model/chatglm'
-  },
-  {
-    id: 'Ernie',
-    name: i18nT('common:model_ernie'),
-    avatar: 'model/ernie'
-  },
-  {
-    id: 'Moonshot',
-    name: i18nT('common:model_moonshot'),
-    avatar: 'model/moonshot'
-  },
-  {
-    id: 'MiniMax',
-    name: 'MiniMax',
-    avatar: 'model/minimax'
-  },
-  {
-    id: 'SparkDesk',
-    name: i18nT('common:model_sparkdesk'),
-    avatar: 'model/sparkDesk'
-  },
-  {
-    id: 'Hunyuan',
-    name: i18nT('common:model_hunyuan'),
-    avatar: 'model/hunyuan'
-  },
-  {
-    id: 'Baichuan',
-    name: i18nT('common:model_baichuan'),
-    avatar: 'model/baichuan'
-  },
-  {
-    id: 'StepFun',
-    name: i18nT('common:model_stepfun'),
-    avatar: 'model/stepfun'
-  },
-  {
-    id: 'ai360',
-    name: '360 AI',
-    avatar: 'model/ai360'
-  },
-  {
-    id: 'Yi',
-    name: i18nT('common:model_yi'),
-    avatar: 'model/yi'
-  },
-  {
-    id: 'BAAI',
-    name: i18nT('common:model_baai'),
-    avatar: 'model/BAAI'
-  },
-  {
-    id: 'FishAudio',
-    name: 'FishAudio',
-    avatar: 'model/fishaudio'
-  },
-  {
-    id: 'Intern',
-    name: i18nT('common:model_intern'),
-    avatar: 'model/intern'
-  },
-  {
-    id: 'Moka',
-    name: i18nT('common:model_moka'),
-    avatar: 'model/moka'
-  },
-  {
-    id: 'Ollama',
-    name: 'Ollama',
-    avatar: 'model/ollama'
-  },
-  {
-    id: 'OpenRouter',
-    name: 'OpenRouter',
-    avatar: 'model/openrouter'
-  },
-  {
-    id: 'vertexai',
-    name: 'vertexai',
-    avatar: 'model/vertexai'
-  },
-  {
-    id: 'novita',
-    name: 'novita',
-    avatar: 'model/novita'
-  },
-  {
-    id: 'Jina',
-    name: 'Jina',
-    avatar: 'model/jina'
-  },
-  {
-    id: 'AliCloud',
-    name: i18nT('common:model_alicloud'),
-    avatar: 'model/alicloud'
-  },
-  {
-    id: 'Siliconflow',
-    name: i18nT('common:model_siliconflow'),
-    avatar: 'model/siliconflow'
-  },
-  {
-    id: 'PPIO',
-    name: i18nT('common:model_ppio'),
-    avatar: 'model/ppio'
-  },
-  {
-    id: 'Other',
-    name: i18nT('common:model_other'),
-    avatar: 'model/huggingface'
+const getLocalizedName = (translations: ProviderValueTypes, language = 'en'): string => {
+  return translations[language as langType];
+};
+
+export const formatModelProviderList = (language?: string) => {
+  return Object.entries(ModelProviders).map(([id, translations], index) => ({
+    id: id as ModelProviderIdType,
+    name: getLocalizedName(translations, language),
+    avatar: `/api/system/plugin/models/${id}.svg`,
+    order: index
+  }));
+};
+export const formatModelProviderMap = (language?: string) => {
+  const provider = {} as Record<
+    ModelProviderIdType,
+    {
+      id: string;
+      name: string;
+      avatar: string;
+      order: number;
+    }
+  >;
+
+  Object.entries(ModelProviders).forEach(([id, translations], index) => {
+    provider[id as ModelProviderIdType] = {
+      id: id as ModelProviderIdType,
+      name: getLocalizedName(translations, language),
+      avatar: `/api/system/plugin/models/${id}.svg`,
+      order: index
+    };
+  });
+
+  return provider;
+};
+
+const ModelProviderListCache = {
+  en: formatModelProviderList('en'),
+  'zh-CN': formatModelProviderList('zh-CN'),
+  'zh-Hant': formatModelProviderList('zh-Hant')
+};
+const ModelProviderMapCache = {
+  en: formatModelProviderMap('en'),
+  'zh-CN': formatModelProviderMap('zh-CN'),
+  'zh-Hant': formatModelProviderMap('zh-Hant')
+};
+
+const defaultProvider = {
+  id: 'Other' as ModelProviderIdType,
+  name: 'Other',
+  avatar: 'model/other',
+  order: 0
+};
+
+export const getModelProviders = (language = 'en') => {
+  return ModelProviderListCache[language as langType];
+};
+
+export const getModelProvider = (provider?: ModelProviderIdType, language = 'en') => {
+  if (!provider) {
+    return defaultProvider;
   }
   }
-];
-export const ModelProviderMap = Object.fromEntries(
-  ModelProviderList.map((item, index) => [item.id, { ...item, order: index }])
-);
 
 
-export const getModelProvider = (provider?: ModelProviderIdType) => {
-  if (!provider) return ModelProviderMap.Other;
-  return ModelProviderMap[provider] ?? ModelProviderMap.Other;
+  return ModelProviderMapCache[language as langType][provider] ?? defaultProvider;
 };
 };

packages/global/core/ai/type.d.ts

@@ -6,7 +6,8 @@ import type {
   ChatCompletionContentPart as SdkChatCompletionContentPart,
   ChatCompletionContentPart as SdkChatCompletionContentPart,
   ChatCompletionUserMessageParam as SdkChatCompletionUserMessageParam,
   ChatCompletionUserMessageParam as SdkChatCompletionUserMessageParam,
   ChatCompletionToolMessageParam as SdkChatCompletionToolMessageParam,
   ChatCompletionToolMessageParam as SdkChatCompletionToolMessageParam,
-  ChatCompletionAssistantMessageParam as SdkChatCompletionAssistantMessageParam
+  ChatCompletionAssistantMessageParam as SdkChatCompletionAssistantMessageParam,
+  ChatCompletionTool
 } from 'openai/resources';
 } from 'openai/resources';
 import { ChatMessageTypeEnum } from './constants';
 import { ChatMessageTypeEnum } from './constants';
 import type { WorkflowInteractiveResponseType } from '../workflow/template/system/interactive/type';
 import type { WorkflowInteractiveResponseType } from '../workflow/template/system/interactive/type';
@@ -59,11 +60,7 @@ export type ChatCompletionAssistantToolParam = {
   role: 'assistant';
   role: 'assistant';
   tool_calls: ChatCompletionMessageToolCall[];
   tool_calls: ChatCompletionMessageToolCall[];
 };
 };
-export type ChatCompletionMessageToolCall = ChatCompletionMessageToolCall & {
-  index?: number;
-  toolName?: string;
-  toolAvatar?: string;
-};
+
 export type ChatCompletionMessageFunctionCall =
 export type ChatCompletionMessageFunctionCall =
   SdkChatCompletionAssistantMessageParam.FunctionCall & {
   SdkChatCompletionAssistantMessageParam.FunctionCall & {
     id?: string;
     id?: string;

packages/global/core/app/type.d.ts

@@ -49,12 +49,17 @@ export type AppSchema = {
   teamTags: string[];
   teamTags: string[];
   inheritPermission?: boolean;
   inheritPermission?: boolean;
 
 
+  // if access the app by favourite or quick
+  favourite?: boolean;
+  quick?: boolean;
+
   // abandon
   // abandon
   defaultPermission?: number;
   defaultPermission?: number;
 };
 };
 
 
 export type AppListItemType = {
 export type AppListItemType = {
   _id: string;
   _id: string;
+  parentId: ParentIdType;
   tmbId: string;
   tmbId: string;
   name: string;
   name: string;
   avatar: string;
   avatar: string;

packages/global/core/chat/adapt.ts

@@ -171,10 +171,15 @@ export const chats2GPTMessages = ({
 
 
   return results;
   return results;
 };
 };
-export const GPTMessages2Chats = (
-  messages: ChatCompletionMessageParam[],
-  reserveTool = true
-): ChatItemType[] => {
+export const GPTMessages2Chats = ({
+  messages,
+  reserveTool = true,
+  getToolInfo
+}: {
+  messages: ChatCompletionMessageParam[];
+  reserveTool?: boolean;
+  getToolInfo?: (name: string) => { name: string; avatar: string };
+}): ChatItemType[] => {
   const chatMessages = messages
   const chatMessages = messages
     .map((item) => {
     .map((item) => {
       const obj = GPT2Chat[item.role];
       const obj = GPT2Chat[item.role];
@@ -280,10 +285,12 @@ export const GPTMessages2Chats = (
                 toolResponse =
                 toolResponse =
                   typeof toolResponse === 'string' ? toolResponse : JSON.stringify(toolResponse);
                   typeof toolResponse === 'string' ? toolResponse : JSON.stringify(toolResponse);
 
 
+                const toolInfo = getToolInfo?.(tool.function.name);
+
                 return {
                 return {
                   id: tool.id,
                   id: tool.id,
-                  toolName: tool.toolName || '',
-                  toolAvatar: tool.toolAvatar || '',
+                  toolName: toolInfo?.name || '',
+                  toolAvatar: toolInfo?.avatar || '',
                   functionName: tool.function.name,
                   functionName: tool.function.name,
                   params: tool.function.arguments,
                   params: tool.function.arguments,
                   response: toolResponse as string
                   response: toolResponse as string

packages/global/core/chat/favouriteApp/type.d.ts

+export type ChatFavouriteAppSchema = {
+  _id: string;
+  teamId: string;
+  appId: string;
+  favouriteTags: string[]; // tag id list
+  order: number;
+};
+
+export type ChatFavouriteAppUpdateParams = {
+  appId: string;
+  order: number;
+};
+
+export type ChatFavouriteApp = ChatFavouriteAppSchema & {
+  name: string;
+  avatar: string;
+  intro: string;
+};

packages/global/core/chat/setting/type.d.ts

@@ -7,22 +7,30 @@ export type ChatSettingSchema = {
   homeTabTitle: string;
   homeTabTitle: string;
   wideLogoUrl?: string;
   wideLogoUrl?: string;
   squareLogoUrl?: string;
   squareLogoUrl?: string;
+
   selectedTools: {
   selectedTools: {
     pluginId: string;
     pluginId: string;
-    name: string;
-    avatar: string;
     inputs?: Record<`${NodeInputKeyEnum}` | string, any>;
     inputs?: Record<`${NodeInputKeyEnum}` | string, any>;
   }[];
   }[];
+  quickAppIds: string[];
+  favouriteTags: {
+    id: string;
+    name: string;
+  }[];
 };
 };
 
 
-export type ChatSettingUpdateParams = {
-  slogan?: string;
-  dialogTips?: string;
-  homeTabTitle?: string;
-  wideLogoUrl?: string;
-  squareLogoUrl?: string;
-  selectedTools: {
-    pluginId: string;
-    inputs?: Record<`${NodeInputKeyEnum}` | string, any>;
-  }[];
+export type ChatSettingUpdateParams = Partial<Omit<ChatSettingSchema, '_id' | 'appId' | 'teamId'>>;
+
+export type QuickAppType = { _id: string; name: string; avatar: string };
+export type ChatFavouriteTagType = ChatSettingSchema['favouriteTags'][number];
+export type SelectedToolType = ChatSettingSchema['selectedTools'][number] & {
+  name: string;
+  avatar: string;
 };
 };
+
+export type ChatSettingReturnType =
+  | (Omit<ChatSettingSchema, 'quickAppIds' | 'selectedTools'> & {
+      quickAppList: QuickAppType[];
+      selectedTools: SelectedToolType[];
+    })
+  | undefined;

packages/global/core/chat/utils.ts

@@ -9,7 +9,7 @@ import {
 } from './type.d';
 } from './type.d';
 import { sliceStrStartEnd } from '../../common/string/tools';
 import { sliceStrStartEnd } from '../../common/string/tools';
 import { PublishChannelEnum } from '../../support/outLink/constant';
 import { PublishChannelEnum } from '../../support/outLink/constant';
-import { removeDatasetCiteText } from '../../../service/core/ai/utils';
+import { removeDatasetCiteText } from '../ai/llm/utils';
 
 
 // Concat 2 -> 1, and sort by role
 // Concat 2 -> 1, and sort by role
 export const concatHistories = (histories1: ChatItemType[], histories2: ChatItemType[]) => {
 export const concatHistories = (histories1: ChatItemType[], histories2: ChatItemType[]) => {

packages/global/core/workflow/runtime/utils.ts

@@ -20,6 +20,17 @@ import type { StoreNodeItemType } from '../type/node';
 import { isValidReferenceValueFormat } from '../utils';
 import { isValidReferenceValueFormat } from '../utils';
 import type { RuntimeEdgeItemType, RuntimeNodeItemType } from './type';
 import type { RuntimeEdgeItemType, RuntimeNodeItemType } from './type';
 
 
+export const checkIsBranchNode = (node: RuntimeNodeItemType) => {
+  if (node.catchError) return true;
+
+  const map: Record<any, boolean> = {
+    [FlowNodeTypeEnum.classifyQuestion]: true,
+    [FlowNodeTypeEnum.userSelect]: true,
+    [FlowNodeTypeEnum.ifElseNode]: true
+  };
+  return !!map[node.flowNodeType];
+};
+
 export const extractDeepestInteractive = (
 export const extractDeepestInteractive = (
   interactive: WorkflowInteractiveResponseType
   interactive: WorkflowInteractiveResponseType
 ): WorkflowInteractiveResponseType => {
 ): WorkflowInteractiveResponseType => {
@@ -276,35 +287,41 @@ export const filterWorkflowEdges = (edges: RuntimeEdgeItemType[]) => {
 };
 };
 
 
 /*
 /*
-  1. 输入线分类：普通线和递归线（可以追溯到自身）
-  2. 起始线全部非 waiting 执行，或递归线全部非 waiting 执行
+  1. 输入线分类：普通线(实际上就是从 start 直接过来的分支）和递归线（可以追溯到自身的分支）
+  2. 递归线，会根据最近的一个 target 分支进行分类，同一个分支的属于一组
+  2. 起始线全部非 waiting 执行，或递归线任意一组全部非 waiting 执行
 */
 */
 export const checkNodeRunStatus = ({
 export const checkNodeRunStatus = ({
+  nodesMap,
   node,
   node,
   runtimeEdges
   runtimeEdges
 }: {
 }: {
+  nodesMap: Map<string, RuntimeNodeItemType>;
   node: RuntimeNodeItemType;
   node: RuntimeNodeItemType;
   runtimeEdges: RuntimeEdgeItemType[];
   runtimeEdges: RuntimeEdgeItemType[];
 }) => {
 }) => {
-  /*
-    区分普通连线和递归连线
-    递归连线：可以通过往上查询 nodes，最终追溯到自身
-  */
-  const splitEdges2WorkflowEdges = ({
-    sourceEdges,
-    allEdges,
-    currentNode
-  }: {
-    sourceEdges: RuntimeEdgeItemType[];
-    allEdges: RuntimeEdgeItemType[];
-    currentNode: RuntimeNodeItemType;
-  }) => {
-    const commonEdges: RuntimeEdgeItemType[] = [];
-    const recursiveEdges: RuntimeEdgeItemType[] = [];
+  const filterRuntimeEdges = filterWorkflowEdges(runtimeEdges);
 
 
-    const checkIsCircular = (startEdge: RuntimeEdgeItemType, initialVisited: string[]): boolean => {
-      const stack: Array<{ edge: RuntimeEdgeItemType; visited: Set<string> }> = [
-        { edge: startEdge, visited: new Set(initialVisited) }
+  const splitNodeEdges = (targetNode: RuntimeNodeItemType) => {
+    const commonEdges: RuntimeEdgeItemType[] = [];
+    const recursiveEdgeGroupsMap = new Map<string, RuntimeEdgeItemType[]>();
+
+    const getEdgeLastBranchHandle = ({
+      startEdge,
+      targetNodeId
+    }: {
+      startEdge: RuntimeEdgeItemType;
+      targetNodeId: string;
+    }): string | '' | undefined => {
+      const stack: Array<{
+        edge: RuntimeEdgeItemType;
+        visited: Set<string>;
+        lasestBranchHandle?: string;
+      }> = [
+        {
+          edge: startEdge,
+          visited: new Set([targetNodeId])
+        }
       ];
       ];
 
 
       const MAX_DEPTH = 3000;
       const MAX_DEPTH = 3000;
@@ -312,11 +329,18 @@ export const checkNodeRunStatus = ({
 
 
       while (stack.length > 0 && iterations < MAX_DEPTH) {
       while (stack.length > 0 && iterations < MAX_DEPTH) {
         iterations++;
         iterations++;
-
-        const { edge, visited } = stack.pop()!;
-
-        if (edge.source === currentNode.nodeId) {
-          return true; // 检测到环,并且环中包含当前节点
+        const { edge, visited, lasestBranchHandle } = stack.pop()!;
+
+        // Circle
+        if (edge.source === targetNode.nodeId) {
+          // 检查自身是否为分支节点
+          const node = nodesMap.get(edge.source);
+          if (!node) return '';
+          const isBranch = checkIsBranchNode(node);
+          if (isBranch) return edge.sourceHandle;
+
+          // 检测到环,并且环中包含当前节点. 空字符代表是一个无分支循环，属于死循环，则忽略这个边。
+          return lasestBranchHandle ?? '';
         }
         }
 
 
         if (visited.has(edge.source)) {
         if (visited.has(edge.source)) {
@@ -327,54 +351,70 @@ export const checkNodeRunStatus = ({
         newVisited.add(edge.source);
         newVisited.add(edge.source);
 
 
         // 查找目标节点的 source edges 并加入栈中
         // 查找目标节点的 source edges 并加入栈中
-        const nextEdges = allEdges.filter((item) => item.target === edge.source);
+        const nextEdges = filterRuntimeEdges.filter((item) => item.target === edge.source);
         for (const nextEdge of nextEdges) {
         for (const nextEdge of nextEdges) {
-          stack.push({ edge: nextEdge, visited: newVisited });
+          const node = nodesMap.get(nextEdge.target);
+          if (!node) continue;
+          const isBranch = checkIsBranchNode(node);
+
+          stack.push({
+            edge: nextEdge,
+            visited: newVisited,
+            lasestBranchHandle: isBranch ? edge.sourceHandle : lasestBranchHandle
+          });
         }
         }
       }
       }
 
 
-      return false;
+      return;
     };
     };
 
 
+    const sourceEdges = filterRuntimeEdges.filter((item) => item.target === targetNode.nodeId);
     sourceEdges.forEach((edge) => {
     sourceEdges.forEach((edge) => {
-      if (checkIsCircular(edge, [currentNode.nodeId])) {
-        recursiveEdges.push(edge);
-      } else {
+      const lastBranchHandle = getEdgeLastBranchHandle({
+        startEdge: edge,
+        targetNodeId: targetNode.nodeId
+      });
+
+      // 无效的循环，这条边则忽略
+      if (lastBranchHandle === '') return;
+
+      // 有效循环，则加入递归组
+      if (lastBranchHandle) {
+        recursiveEdgeGroupsMap.set(lastBranchHandle, [
+          ...(recursiveEdgeGroupsMap.get(lastBranchHandle) || []),
+          edge
+        ]);
+      }
+      // 无循环的连线，则加入普通组
+      else {
         commonEdges.push(edge);
         commonEdges.push(edge);
       }
       }
     });
     });
 
 
-    return { commonEdges, recursiveEdges };
+    return { commonEdges, recursiveEdgeGroups: Array.from(recursiveEdgeGroupsMap.values()) };
   };
   };
 
 
-  const runtimeNodeSourceEdge = filterWorkflowEdges(runtimeEdges).filter(
-    (item) => item.target === node.nodeId
-  );
+  // Classify edges
+  const { commonEdges, recursiveEdgeGroups } = splitNodeEdges(node);
 
 
   // Entry
   // Entry
-  if (runtimeNodeSourceEdge.length === 0) {
+  if (commonEdges.length === 0 && recursiveEdgeGroups.length === 0) {
     return 'run';
     return 'run';
   }
   }
 
 
-  // Classify edges
-  const { commonEdges, recursiveEdges } = splitEdges2WorkflowEdges({
-    sourceEdges: runtimeNodeSourceEdge,
-    allEdges: runtimeEdges,
-    currentNode: node
-  });
-
   // check active（其中一组边，至少有一个 active，且没有 waiting 即可运行）
   // check active（其中一组边，至少有一个 active，且没有 waiting 即可运行）
   if (
   if (
-    commonEdges.length > 0 &&
     commonEdges.some((item) => item.status === 'active') &&
     commonEdges.some((item) => item.status === 'active') &&
     commonEdges.every((item) => item.status !== 'waiting')
     commonEdges.every((item) => item.status !== 'waiting')
   ) {
   ) {
     return 'run';
     return 'run';
   }
   }
   if (
   if (
-    recursiveEdges.length > 0 &&
-    recursiveEdges.some((item) => item.status === 'active') &&
-    recursiveEdges.every((item) => item.status !== 'waiting')
+    recursiveEdgeGroups.some(
+      (item) =>
+        item.some((item) => item.status === 'active') &&
+        item.every((item) => item.status !== 'waiting')
+    )
   ) {
   ) {
     return 'run';
     return 'run';
   }
   }
@@ -383,7 +423,10 @@ export const checkNodeRunStatus = ({
   if (commonEdges.length > 0 && commonEdges.every((item) => item.status === 'skipped')) {
   if (commonEdges.length > 0 && commonEdges.every((item) => item.status === 'skipped')) {
     return 'skip';
     return 'skip';
   }
   }
-  if (recursiveEdges.length > 0 && recursiveEdges.every((item) => item.status === 'skipped')) {
+  if (
+    recursiveEdgeGroups.length > 0 &&
+    recursiveEdgeGroups.some((item) => item.every((item) => item.status === 'skipped'))
+  ) {
     return 'skip';
     return 'skip';
   }
   }
 
 

packages/global/package.json

@@ -2,6 +2,7 @@
   "name": "@fastgpt/global",
   "name": "@fastgpt/global",
   "version": "1.0.0",
   "version": "1.0.0",
   "dependencies": {
   "dependencies": {
+    "@fastgpt-sdk/plugin": "^0.1.12",
     "@apidevtools/swagger-parser": "^10.1.0",
     "@apidevtools/swagger-parser": "^10.1.0",
     "@bany/curl-to-json": "^1.2.8",
     "@bany/curl-to-json": "^1.2.8",
     "axios": "^1.8.2",
     "axios": "^1.8.2",

packages/global/sdk/fastgpt-plugin.ts

+export * from '@fastgpt-sdk/plugin';

packages/service/common/redis/cache.ts

@@ -45,12 +45,9 @@ export const getRedisCache = async (key: string) => {
 
 
 // Add value to cache
 // Add value to cache
 export const incrValueToCache = async (key: string, increment: number) => {
 export const incrValueToCache = async (key: string, increment: number) => {
-  if (!increment || increment === 0) return;
+  if (typeof increment !== 'number' || increment === 0) return;
   const redis = getGlobalRedisConnection();
   const redis = getGlobalRedisConnection();
   try {
   try {
-    const exists = await redis.exists(getCacheKey(key));
-    if (!exists) return;
-
     await retryFn(() => redis.incrbyfloat(getCacheKey(key), increment));
     await retryFn(() => redis.incrbyfloat(getCacheKey(key), increment));
   } catch (error) {}
   } catch (error) {}
 };
 };

packages/service/core/ai/config.ts

 import OpenAI from '@fastgpt/global/core/ai';
 import OpenAI from '@fastgpt/global/core/ai';
-import type {
-  ChatCompletionCreateParamsNonStreaming,
-  ChatCompletionCreateParamsStreaming,
-  StreamChatType,
-  UnStreamChatType
-} from '@fastgpt/global/core/ai/type';
-import { getErrText } from '@fastgpt/global/common/error/utils';
-import { addLog } from '../../common/system/log';
-import { i18nT } from '../../../web/i18n/utils';
 import { type OpenaiAccountType } from '@fastgpt/global/support/user/team/type';
 import { type OpenaiAccountType } from '@fastgpt/global/support/user/team/type';
-import { getLLMModel } from './model';
-import { type LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 
 
 const aiProxyBaseUrl = process.env.AIPROXY_API_ENDPOINT
 const aiProxyBaseUrl = process.env.AIPROXY_API_ENDPOINT
   ? `${process.env.AIPROXY_API_ENDPOINT}/v1`
   ? `${process.env.AIPROXY_API_ENDPOINT}/v1`
@@ -43,100 +32,3 @@ export const getAxiosConfig = (props?: { userKey?: OpenaiAccountType }) => {
     authorization: `Bearer ${apiKey}`
     authorization: `Bearer ${apiKey}`
   };
   };
 };
 };
-
-export const createChatCompletion = async ({
-  modelData,
-  body,
-  userKey,
-  timeout,
-  options
-}: {
-  modelData?: LLMModelItemType;
-  body: ChatCompletionCreateParamsNonStreaming | ChatCompletionCreateParamsStreaming;
-  userKey?: OpenaiAccountType;
-  timeout?: number;
-  options?: OpenAI.RequestOptions;
-}): Promise<
-  {
-    getEmptyResponseTip: () => string;
-  } & (
-    | {
-        response: StreamChatType;
-        isStreamResponse: true;
-      }
-    | {
-        response: UnStreamChatType;
-        isStreamResponse: false;
-      }
-  )
-> => {
-  try {
-    // Rewrite model
-    const modelConstantsData = modelData || getLLMModel(body.model);
-    if (!modelConstantsData) {
-      return Promise.reject(`${body.model} not found`);
-    }
-    body.model = modelConstantsData.model;
-
-    const formatTimeout = timeout ? timeout : 600000;
-    const ai = getAIApi({
-      userKey,
-      timeout: formatTimeout
-    });
-
-    addLog.debug(`Start create chat completion`, {
-      model: body.model
-    });
-
-    const response = await ai.chat.completions.create(body, {
-      ...options,
-      ...(modelConstantsData.requestUrl ? { path: modelConstantsData.requestUrl } : {}),
-      headers: {
-        ...options?.headers,
-        ...(modelConstantsData.requestAuth
-          ? { Authorization: `Bearer ${modelConstantsData.requestAuth}` }
-          : {})
-      }
-    });
-
-    const isStreamResponse =
-      typeof response === 'object' &&
-      response !== null &&
-      ('iterator' in response || 'controller' in response);
-
-    const getEmptyResponseTip = () => {
-      addLog.warn(`LLM response empty`, {
-        baseUrl: userKey?.baseUrl,
-        requestBody: body
-      });
-      if (userKey?.baseUrl) {
-        return `您的 OpenAI key 没有响应: ${JSON.stringify(body)}`;
-      }
-      return i18nT('chat:LLM_model_response_empty');
-    };
-
-    if (isStreamResponse) {
-      return {
-        response,
-        isStreamResponse: true,
-        getEmptyResponseTip
-      };
-    }
-
-    return {
-      response,
-      isStreamResponse: false,
-      getEmptyResponseTip
-    };
-  } catch (error) {
-    addLog.error(`LLM response error`, error);
-    addLog.warn(`LLM response error`, {
-      baseUrl: userKey?.baseUrl,
-      requestBody: body
-    });
-    if (userKey?.baseUrl) {
-      return Promise.reject(`您的 OpenAI key 出错了: ${getErrText(error)}`);
-    }
-    return Promise.reject(error);
-  }
-};

packages/service/core/ai/config/utils.ts

@@ -19,7 +19,7 @@ import { delay } from '@fastgpt/global/common/system/utils';
 import { pluginClient } from '../../../thirdProvider/fastgptPlugin';
 import { pluginClient } from '../../../thirdProvider/fastgptPlugin';
 import { setCron } from '../../../common/system/cron';
 import { setCron } from '../../../common/system/cron';
 
 
-export const loadSystemModels = async (init = false) => {
+export const loadSystemModels = async (init = false, language = 'en') => {
   const pushModel = (model: SystemModelItemType) => {
   const pushModel = (model: SystemModelItemType) => {
     global.systemModelList.push(model);
     global.systemModelList.push(model);
 
 
@@ -113,7 +113,10 @@ export const loadSystemModels = async (init = false) => {
         const modelData: any = {
         const modelData: any = {
           ...model,
           ...model,
           ...dbModel?.metadata,
           ...dbModel?.metadata,
-          provider: getModelProvider(dbModel?.metadata?.provider || (model.provider as any)).id,
+          provider: getModelProvider(
+            dbModel?.metadata?.provider || (model.provider as any),
+            language
+          ).id,
           type: dbModel?.metadata?.type || model.type,
           type: dbModel?.metadata?.type || model.type,
           isCustom: false,
           isCustom: false,
 
 
@@ -169,8 +172,8 @@ export const loadSystemModels = async (init = false) => {
 
 
     // Sort model list
     // Sort model list
     global.systemActiveModelList.sort((a, b) => {
     global.systemActiveModelList.sort((a, b) => {
-      const providerA = getModelProvider(a.provider);
-      const providerB = getModelProvider(b.provider);
+      const providerA = getModelProvider(a.provider, language);
+      const providerB = getModelProvider(b.provider, language);
       return providerA.order - providerB.order;
       return providerA.order - providerB.order;
     });
     });
     global.systemActiveDesensitizedModels = global.systemActiveModelList.map((model) => ({
     global.systemActiveDesensitizedModels = global.systemActiveModelList.map((model) => ({

packages/service/core/ai/functions/createQuestionGuide.ts

 import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d';
 import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d';
-import { createChatCompletion } from '../config';
-import { countGptMessagesTokens, countPromptTokens } from '../../../common/string/tiktoken/index';
-import { loadRequestMessages } from '../../chat/utils';
-import { llmCompletionsBodyFormat, formatLLMResponse } from '../utils';
 import {
 import {
   QuestionGuidePrompt,
   QuestionGuidePrompt,
   QuestionGuideFooterPrompt
   QuestionGuideFooterPrompt
 } from '@fastgpt/global/core/ai/prompt/agent';
 } from '@fastgpt/global/core/ai/prompt/agent';
 import { addLog } from '../../../common/system/log';
 import { addLog } from '../../../common/system/log';
 import json5 from 'json5';
 import json5 from 'json5';
+import { createLLMResponse } from '../llm/request';
 
 
 export async function createQuestionGuide({
 export async function createQuestionGuide({
   messages,
   messages,
@@ -30,31 +27,23 @@ export async function createQuestionGuide({
       content: `${customPrompt || QuestionGuidePrompt}\n${QuestionGuideFooterPrompt}`
       content: `${customPrompt || QuestionGuidePrompt}\n${QuestionGuideFooterPrompt}`
     }
     }
   ];
   ];
-  const requestMessages = await loadRequestMessages({
-    messages: concatMessages,
-    useVision: false
-  });
 
 
-  const { response } = await createChatCompletion({
-    body: llmCompletionsBodyFormat(
-      {
-        model,
-        temperature: 0.1,
-        max_tokens: 200,
-        messages: requestMessages,
-        stream: true
-      },
-      model
-    )
+  const {
+    answerText: answer,
+    usage: { inputTokens, outputTokens }
+  } = await createLLMResponse({
+    body: {
+      model,
+      temperature: 0.1,
+      max_tokens: 200,
+      messages: concatMessages,
+      stream: true
+    }
   });
   });
-  const { text: answer, usage } = await formatLLMResponse(response);
 
 
   const start = answer.indexOf('[');
   const start = answer.indexOf('[');
   const end = answer.lastIndexOf(']');
   const end = answer.lastIndexOf(']');
 
 
-  const inputTokens = usage?.prompt_tokens || (await countGptMessagesTokens(requestMessages));
-  const outputTokens = usage?.completion_tokens || (await countPromptTokens(answer));
-
   if (start === -1 || end === -1) {
   if (start === -1 || end === -1) {
     addLog.warn('Create question guide error', { answer });
     addLog.warn('Create question guide error', { answer });
     return {
     return {

packages/service/core/ai/functions/queryExtension.ts

 import { replaceVariable } from '@fastgpt/global/common/string/tools';
 import { replaceVariable } from '@fastgpt/global/common/string/tools';
-import { createChatCompletion } from '../config';
 import { type ChatItemType } from '@fastgpt/global/core/chat/type';
 import { type ChatItemType } from '@fastgpt/global/core/chat/type';
-import { countGptMessagesTokens, countPromptTokens } from '../../../common/string/tiktoken/index';
 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
 import { getLLMModel } from '../model';
 import { getLLMModel } from '../model';
-import { llmCompletionsBodyFormat, formatLLMResponse } from '../utils';
 import { addLog } from '../../../common/system/log';
 import { addLog } from '../../../common/system/log';
-import { filterGPTMessageByMaxContext } from '../../chat/utils';
+import { filterGPTMessageByMaxContext } from '../llm/utils';
 import json5 from 'json5';
 import json5 from 'json5';
+import { createLLMResponse } from '../llm/request';
 
 
 /* 
 /* 
     query extension - 问题扩展
     query extension - 问题扩展
@@ -167,20 +165,17 @@ assistant: ${chatBg}
     }
     }
   ] as any;
   ] as any;
 
 
-  const { response } = await createChatCompletion({
-    body: llmCompletionsBodyFormat(
-      {
-        stream: true,
-        model: modelData.model,
-        temperature: 0.1,
-        messages
-      },
-      modelData
-    )
+  const {
+    answerText: answer,
+    usage: { inputTokens, outputTokens }
+  } = await createLLMResponse({
+    body: {
+      stream: true,
+      model: modelData.model,
+      temperature: 0.1,
+      messages
+    }
   });
   });
-  const { text: answer, usage } = await formatLLMResponse(response);
-  const inputTokens = usage?.prompt_tokens || (await countGptMessagesTokens(messages));
-  const outputTokens = usage?.completion_tokens || (await countPromptTokens(answer));
 
 
   if (!answer) {
   if (!answer) {
     return {
     return {

packages/service/core/ai/llm/prompt.ts

+import { replaceVariable } from '@fastgpt/global/common/string/tools';
+import type { ChatCompletionTool } from '@fastgpt/global/core/ai/type';
+
+export const getPromptToolCallPrompt = (tools: ChatCompletionTool['function'][]) => {
+  const prompt = `<ToolSkill>
+你是一个智能机器人，除了可以回答用户问题外，你还掌握工具的使用能力。有时候，你可以依赖工具的运行结果，来更准确的回答用户。
+
+工具使用了 JSON Schema 的格式声明，格式为：{name: 工具名; description: 工具描述; parameters: 工具参数}，其中 name 是工具的唯一标识，parameters 包含工具的参数、类型、描述、必填项等。
+
+请你根据工具描述，决定回答问题或是使用工具。你的每次输出都必须以0,1开头，代表是否需要调用工具：
+0: 不使用工具，直接回答内容。
+1: 使用工具，返回工具调用的参数。
+
+## 回答示例
+
+- 0: 你好，有什么可以帮助你的么？
+- 1: ${JSON.stringify({ name: 'searchToolId1' })}
+- 0: 现在是2022年5月5日，星期四，中午12点。
+- 1: ${JSON.stringify({ name: 'searchToolId2', arguments: { city: '杭州' } })}
+- 0: 今天杭州是晴天。
+- 1: ${JSON.stringify({ name: 'searchToolId3', arguments: { query: '杭州 天气 去哪里玩' } })}
+- 0: 今天杭州是晴天，适合去西湖、灵隐寺、千岛湖等地玩。
+
+## 可用工具列表
+
+"""
+{{toolSchema}}
+"""
+</ToolSkill>
+`;
+
+  const schema = tools.map((tool) => ({
+    name: tool.name,
+    description: tool.description,
+    parameters: tool.parameters
+  }));
+
+  return replaceVariable(prompt, {
+    toolSchema: JSON.stringify(schema)
+  });
+};

packages/service/core/ai/llm/promptToolCall.ts

+import { getNanoid, sliceJsonStr } from '@fastgpt/global/common/string/tools';
+import json5 from 'json5';
+import type {
+  ChatCompletionMessageParam,
+  ChatCompletionMessageToolCall,
+  ChatCompletionSystemMessageParam,
+  ChatCompletionTool
+} from '@fastgpt/global/core/ai/type';
+import { getPromptToolCallPrompt } from './prompt';
+import { cloneDeep } from 'lodash';
+
+export const promptToolCallMessageRewrite = (
+  messages: ChatCompletionMessageParam[],
+  tools: ChatCompletionTool[]
+) => {
+  const cloneMessages = cloneDeep(messages);
+
+  // Add system prompt too messages
+  let systemMessage = cloneMessages.find(
+    (item) => item.role === 'system'
+  ) as ChatCompletionSystemMessageParam;
+
+  if (!systemMessage) {
+    systemMessage = {
+      role: 'system',
+      content: ''
+    };
+    cloneMessages.unshift(systemMessage);
+  }
+
+  if (typeof systemMessage?.content === 'string') {
+    systemMessage.content =
+      `${systemMessage.content}\n\n${getPromptToolCallPrompt(tools.map((tool) => tool.function))}`.trim();
+  } else if (Array.isArray(systemMessage.content)) {
+    systemMessage.content.push({
+      type: 'text',
+      text: getPromptToolCallPrompt(tools.map((tool) => tool.function))
+    });
+  } else {
+    throw new Error('Prompt call invalid input');
+  }
+
+  /* 
+    Format tool messages, rewrite assistant/tool message
+    1. Assistant, not tool_calls: skip
+    2. Assistant, tool_calls: rewrite to assistant text
+    3. Tool: rewrite to user text
+  */
+  for (let i = 0; i < cloneMessages.length; i++) {
+    const message = cloneMessages[i];
+    if (message.role === 'assistant') {
+      if (message.content && typeof message.content === 'string') {
+        message.content = `0: ${message.content}`;
+      } else if (message.tool_calls?.length) {
+        message.content = `1: ${JSON.stringify(message.tool_calls[0].function)}`;
+        delete message.tool_calls;
+      }
+    } else if (message.role === 'tool') {
+      cloneMessages.splice(i, 1, {
+        role: 'user',
+        content: `<ToolResponse>\n${message.content}\n</ToolResponse>`
+      });
+    }
+  }
+
+  return cloneMessages;
+};
+
+const ERROR_TEXT = 'Tool run error';
+export const parsePromptToolCall = (
+  str: string
+): {
+  answer: string;
+  toolCalls?: ChatCompletionMessageToolCall[];
+} => {
+  str = str.trim();
+  // 首先，使用正则表达式提取TOOL_ID和TOOL_ARGUMENTS
+  const prefixReg = /1(:|：)/;
+
+  if (prefixReg.test(str)) {
+    const toolString = sliceJsonStr(str);
+
+    try {
+      const toolCall = json5.parse(toolString) as { name: string; arguments: Object };
+
+      return {
+        answer: '',
+        toolCalls: [
+          {
+            id: getNanoid(),
+            type: 'function' as const,
+            function: {
+              name: toolCall.name,
+              arguments: JSON.stringify(toolCall.arguments)
+            }
+          }
+        ]
+      };
+    } catch (error) {
+      if (prefixReg.test(str)) {
+        return {
+          answer: ERROR_TEXT
+        };
+      } else {
+        return {
+          answer: str
+        };
+      }
+    }
+  } else {
+    const firstIndex = str.indexOf('0:') !== -1 ? str.indexOf('0:') : str.indexOf('0：');
+    if (firstIndex > -1 && firstIndex < 6) {
+      str = str.substring(firstIndex + 2).trim();
+    }
+
+    return { answer: str };
+  }
+};

packages/service/core/chat/utils.ts → packages/service/core/ai/llm/utils.ts

-import { countGptMessagesTokens } from '../../common/string/tiktoken/index';
+import { countGptMessagesTokens } from '../../../common/string/tiktoken/index';
 import type {
 import type {
   ChatCompletionAssistantMessageParam,
   ChatCompletionAssistantMessageParam,
   ChatCompletionContentPart,
   ChatCompletionContentPart,
@@ -9,9 +9,9 @@ import type {
 } from '@fastgpt/global/core/ai/type.d';
 } from '@fastgpt/global/core/ai/type.d';
 import axios from 'axios';
 import axios from 'axios';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
-import { i18nT } from '../../../web/i18n/utils';
-import { addLog } from '../../common/system/log';
-import { getImageBase64 } from '../../common/file/image/utils';
+import { i18nT } from '../../../../web/i18n/utils';
+import { addLog } from '../../../common/system/log';
+import { getImageBase64 } from '../../../common/file/image/utils';
 
 
 export const filterGPTMessageByMaxContext = async ({
 export const filterGPTMessageByMaxContext = async ({
   messages = [],
   messages = [],
@@ -106,7 +106,7 @@ export const loadRequestMessages = async ({
     const arrayContent = content
     const arrayContent = content
       .filter((item) => item.text)
       .filter((item) => item.text)
       .map((item) => item.text)
       .map((item) => item.text)
-      .join('\n');
+      .join('\n\n');
 
 
     return arrayContent;
     return arrayContent;
   };
   };

packages/service/core/ai/model.ts

 import { cloneDeep } from 'lodash';
 import { cloneDeep } from 'lodash';
 import { type SystemModelItemType } from './type';
 import { type SystemModelItemType } from './type';
+import type { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 
 
 export const getDefaultLLMModel = () => global?.systemDefaultModel.llm!;
 export const getDefaultLLMModel = () => global?.systemDefaultModel.llm!;
-export const getLLMModel = (model?: string) => {
+export const getLLMModel = (model?: string | LLMModelItemType) => {
   if (!model) return getDefaultLLMModel();
   if (!model) return getDefaultLLMModel();
-  return global.llmModelMap.get(model) || getDefaultLLMModel();
+
+  return typeof model === 'string' ? global.llmModelMap.get(model) || getDefaultLLMModel() : model;
 };
 };
 
 
 export const getDatasetModel = (model?: string) => {
 export const getDatasetModel = (model?: string) => {

packages/service/core/ai/utils.ts

 import { type LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { type LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
-import type {
-  ChatCompletionCreateParamsNonStreaming,
-  ChatCompletionCreateParamsStreaming,
-  CompletionFinishReason,
-  StreamChatType,
-  UnStreamChatType,
-  CompletionUsage,
-  ChatCompletionMessageToolCall
-} from '@fastgpt/global/core/ai/type';
-import { getLLMModel } from './model';
+import type { CompletionFinishReason, CompletionUsage } from '@fastgpt/global/core/ai/type';
 import { getLLMDefaultUsage } from '@fastgpt/global/core/ai/constants';
 import { getLLMDefaultUsage } from '@fastgpt/global/core/ai/constants';
-import { getNanoid } from '@fastgpt/global/common/string/tools';
-import json5 from 'json5';
+import { removeDatasetCiteText } from '@fastgpt/global/core/ai/llm/utils';
 
 
 /* 
 /* 
   Count response max token
   Count response max token
@@ -46,168 +36,7 @@ export const computedTemperature = ({
   return temperature;
   return temperature;
 };
 };
 
 
-type CompletionsBodyType =
-  | ChatCompletionCreateParamsNonStreaming
-  | ChatCompletionCreateParamsStreaming;
-type InferCompletionsBody<T> = T extends { stream: true }
-  ? ChatCompletionCreateParamsStreaming
-  : T extends { stream: false }
-    ? ChatCompletionCreateParamsNonStreaming
-    : ChatCompletionCreateParamsNonStreaming | ChatCompletionCreateParamsStreaming;
-
-export const llmCompletionsBodyFormat = <T extends CompletionsBodyType>(
-  body: T & {
-    stop?: string;
-  },
-  model: string | LLMModelItemType
-): InferCompletionsBody<T> => {
-  const modelData = typeof model === 'string' ? getLLMModel(model) : model;
-  if (!modelData) {
-    return body as unknown as InferCompletionsBody<T>;
-  }
-
-  const response_format = (() => {
-    if (!body.response_format?.type) return undefined;
-    if (body.response_format.type === 'json_schema') {
-      try {
-        return {
-          type: 'json_schema',
-          json_schema: json5.parse(body.response_format?.json_schema as unknown as string)
-        };
-      } catch (error) {
-        throw new Error('Json schema error');
-      }
-    }
-    if (body.response_format.type) {
-      return {
-        type: body.response_format.type
-      };
-    }
-    return undefined;
-  })();
-
-  const stop = body.stop ?? undefined;
-
-  const requestBody: T = {
-    ...body,
-    model: modelData.model,
-    temperature:
-      typeof body.temperature === 'number'
-        ? computedTemperature({
-            model: modelData,
-            temperature: body.temperature
-          })
-        : undefined,
-    ...modelData?.defaultConfig,
-    response_format,
-    stop: stop?.split('|')
-  };
-
-  // field map
-  if (modelData.fieldMap) {
-    Object.entries(modelData.fieldMap).forEach(([sourceKey, targetKey]) => {
-      // @ts-ignore
-      requestBody[targetKey] = body[sourceKey];
-      // @ts-ignore
-      delete requestBody[sourceKey];
-    });
-  }
-
-  return requestBody as unknown as InferCompletionsBody<T>;
-};
-
-export const llmStreamResponseToAnswerText = async (
-  response: StreamChatType
-): Promise<{
-  text: string;
-  usage?: CompletionUsage;
-  toolCalls?: ChatCompletionMessageToolCall[];
-}> => {
-  let answer = '';
-  let usage = getLLMDefaultUsage();
-  let toolCalls: ChatCompletionMessageToolCall[] = [];
-  let callingTool: { name: string; arguments: string } | null = null;
-
-  for await (const part of response) {
-    usage = part.usage || usage;
-    const responseChoice = part.choices?.[0]?.delta;
-
-    const content = responseChoice?.content || '';
-    answer += content;
-
-    // Tool calls
-    if (responseChoice?.tool_calls?.length) {
-      responseChoice.tool_calls.forEach((toolCall, i) => {
-        const index = toolCall.index ?? i;
-
-        // Call new tool
-        const hasNewTool = toolCall?.function?.name || callingTool;
-        if (hasNewTool) {
-          // 有 function name，代表新 call 工具
-          if (toolCall?.function?.name) {
-            callingTool = {
-              name: toolCall.function?.name || '',
-              arguments: toolCall.function?.arguments || ''
-            };
-          } else if (callingTool) {
-            // Continue call(Perhaps the name of the previous function was incomplete)
-            callingTool.name += toolCall.function?.name || '';
-            callingTool.arguments += toolCall.function?.arguments || '';
-          }
-
-          if (!callingTool) {
-            return;
-          }
-
-          // New tool, add to list.
-          const toolId = getNanoid();
-          toolCalls[index] = {
-            ...toolCall,
-            id: toolId,
-            type: 'function',
-            function: callingTool
-          };
-          callingTool = null;
-        } else {
-          /* arg 追加到当前工具的参数里 */
-          const arg: string = toolCall?.function?.arguments ?? '';
-          const currentTool = toolCalls[index];
-          if (currentTool && arg) {
-            currentTool.function.arguments += arg;
-          }
-        }
-      });
-    }
-  }
-  return {
-    text: removeDatasetCiteText(parseReasoningContent(answer)[1], false),
-    usage,
-    toolCalls
-  };
-};
-export const llmUnStreamResponseToAnswerText = async (
-  response: UnStreamChatType
-): Promise<{
-  text: string;
-  toolCalls?: ChatCompletionMessageToolCall[];
-  usage?: CompletionUsage;
-}> => {
-  const answer = response.choices?.[0]?.message?.content || '';
-  const toolCalls = response.choices?.[0]?.message?.tool_calls;
-
-  return {
-    text: removeDatasetCiteText(parseReasoningContent(answer)[1], false),
-    usage: response.usage,
-    toolCalls
-  };
-};
-export const formatLLMResponse = async (response: StreamChatType | UnStreamChatType) => {
-  if ('iterator' in response) {
-    return llmStreamResponseToAnswerText(response);
-  }
-  return llmUnStreamResponseToAnswerText(response);
-};
-
+// LLM utils
 // Parse <think></think> tags to think and answer - unstream response
 // Parse <think></think> tags to think and answer - unstream response
 export const parseReasoningContent = (text: string): [string, string] => {
 export const parseReasoningContent = (text: string): [string, string] => {
   const regex = /<think>([\s\S]*?)<\/think>/;
   const regex = /<think>([\s\S]*?)<\/think>/;
@@ -225,14 +54,6 @@ export const parseReasoningContent = (text: string): [string, string] => {
   return [thinkContent, answerContent];
   return [thinkContent, answerContent];
 };
 };
 
 
-export const removeDatasetCiteText = (text: string, retainDatasetCite: boolean) => {
-  return retainDatasetCite
-    ? text.replace(/[\[【]id[\]】]\(CITE\)/g, '')
-    : text
-        .replace(/[\[【]([a-f0-9]{24})[\]】](?:\([^\)]*\)?)?/g, '')
-        .replace(/[\[【]id[\]】]\(CITE\)/g, '');
-};
-
 // Parse llm stream part
 // Parse llm stream part
 export const parseLLMStreamResponse = () => {
 export const parseLLMStreamResponse = () => {
   let isInThinkTag: boolean | undefined = undefined;
   let isInThinkTag: boolean | undefined = undefined;
@@ -274,8 +95,8 @@ export const parseLLMStreamResponse = () => {
     retainDatasetCite?: boolean;
     retainDatasetCite?: boolean;
   }): {
   }): {
     reasoningContent: string;
     reasoningContent: string;
-    content: string;
-    responseContent: string;
+    content: string; // 原始内容，不去掉 cite
+    responseContent: string; // 响应的内容，会去掉 cite
     finishReason: CompletionFinishReason;
     finishReason: CompletionFinishReason;
   } => {
   } => {
     const data = (() => {
     const data = (() => {

packages/service/core/app/controller.ts

@@ -16,6 +16,8 @@ import { MongoOutLink } from '../../support/outLink/schema';
 import { MongoOpenApi } from '../../support/openapi/schema';
 import { MongoOpenApi } from '../../support/openapi/schema';
 import { MongoAppVersion } from './version/schema';
 import { MongoAppVersion } from './version/schema';
 import { MongoChatInputGuide } from '../chat/inputGuide/schema';
 import { MongoChatInputGuide } from '../chat/inputGuide/schema';
+import { MongoChatFavouriteApp } from '../chat/favouriteApp/schema';
+import { MongoChatSetting } from '../chat/setting/schema';
 import { MongoResourcePermission } from '../../support/permission/schema';
 import { MongoResourcePermission } from '../../support/permission/schema';
 import { PerResourceTypeEnum } from '@fastgpt/global/support/permission/constant';
 import { PerResourceTypeEnum } from '@fastgpt/global/support/permission/constant';
 import { removeImageByPath } from '../../common/file/image/controller';
 import { removeImageByPath } from '../../common/file/image/controller';
@@ -191,6 +193,18 @@ export const onDelOneApp = async ({
         appId
         appId
       }).session(session);
       }).session(session);
 
 
+      // 删除精选应用记录
+      await MongoChatFavouriteApp.deleteMany({
+        teamId,
+        appId
+      }).session(session);
+
+      // 从快捷应用中移除对应应用
+      await MongoChatSetting.updateMany(
+        { teamId },
+        { $pull: { quickAppIds: { id: String(appId) } } }
+      ).session(session);
+
       await MongoResourcePermission.deleteMany({
       await MongoResourcePermission.deleteMany({
         resourceType: PerResourceTypeEnum.app,
         resourceType: PerResourceTypeEnum.app,
         teamId,
         teamId,

packages/service/core/app/plugin/controller.ts

@@ -42,7 +42,7 @@ import type {
 import { isProduction } from '@fastgpt/global/common/system/constants';
 import { isProduction } from '@fastgpt/global/common/system/constants';
 import { Output_Template_Error_Message } from '@fastgpt/global/core/workflow/template/output';
 import { Output_Template_Error_Message } from '@fastgpt/global/core/workflow/template/output';
 import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
 import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
-import { getMCPParentId, getMCPToolRuntimeNode } from '@fastgpt/global/core/app/mcpTools/utils';
+import { getMCPToolRuntimeNode } from '@fastgpt/global/core/app/mcpTools/utils';
 import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
 import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
 import { getMCPChildren } from '../mcp';
 import { getMCPChildren } from '../mcp';
 import { cloneDeep } from 'lodash';
 import { cloneDeep } from 'lodash';

packages/service/core/app/schema.ts

@@ -116,6 +116,9 @@ const AppSchema = new Schema(
       default: true
       default: true
     },
     },
 
 
+    favourite: Boolean,
+    quick: Boolean,
+
     // abandoned
     // abandoned
     defaultPermission: Number
     defaultPermission: Number
   },
   },

packages/service/core/app/tool/api.ts

-import { RunToolWithStream } from '@fastgpt-sdk/plugin';
+import { RunToolWithStream } from '@fastgpt/global/sdk/fastgpt-plugin';
 import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
 import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
 import { pluginClient, BASE_URL, TOKEN } from '../../../thirdProvider/fastgptPlugin';
 import { pluginClient, BASE_URL, TOKEN } from '../../../thirdProvider/fastgptPlugin';
 
 
@@ -13,7 +13,7 @@ export async function APIGetSystemToolList() {
         parentId: item.parentId ? `${PluginSourceEnum.systemTool}-${item.parentId}` : undefined,
         parentId: item.parentId ? `${PluginSourceEnum.systemTool}-${item.parentId}` : undefined,
         avatar:
         avatar:
           item.avatar && item.avatar.startsWith('/imgs/tools/')
           item.avatar && item.avatar.startsWith('/imgs/tools/')
-            ? `/api/system/pluginImgs/${item.avatar.replace('/imgs/tools/', '')}`
+            ? `/api/system/plugin/tools/${item.avatar.replace('/imgs/tools/', '')}`
             : item.avatar
             : item.avatar
       };
       };
     });
     });

packages/service/core/chat/favouriteApp/schema.ts

+import { connectionMongo, getMongoModel } from '../../../common/mongo';
+import { type ChatFavouriteAppSchema as ChatFavouriteAppType } from '@fastgpt/global/core/chat/favouriteApp/type';
+import { TeamCollectionName } from '@fastgpt/global/support/user/team/constant';
+import { AppCollectionName } from '../../app/schema';
+
+const { Schema } = connectionMongo;
+
+export const ChatFavouriteAppCollectionName = 'chat_favourite_apps';
+
+const ChatFavouriteAppSchema = new Schema({
+  teamId: {
+    type: Schema.Types.ObjectId,
+    ref: TeamCollectionName,
+    required: true
+  },
+  appId: {
+    type: Schema.Types.ObjectId,
+    ref: AppCollectionName,
+    required: true
+  },
+  favouriteTags: {
+    type: [String],
+    default: []
+  },
+  order: {
+    type: Number,
+    default: 10000000
+  }
+});
+
+ChatFavouriteAppSchema.index({ teamId: 1, appId: 1 });
+
+export const MongoChatFavouriteApp = getMongoModel<ChatFavouriteAppType>(
+  ChatFavouriteAppCollectionName,
+  ChatFavouriteAppSchema
+);

packages/service/core/chat/setting/schema.ts

@@ -26,7 +26,27 @@ const ChatSettingSchema = new Schema({
   },
   },
   homeTabTitle: String,
   homeTabTitle: String,
   wideLogoUrl: String,
   wideLogoUrl: String,
-  squareLogoUrl: String
+  squareLogoUrl: String,
+  quickAppIds: {
+    type: [String],
+    default: []
+  },
+  favouriteTags: {
+    type: [
+      {
+        id: String,
+        name: String
+      }
+    ],
+    default: [],
+    _id: false
+  }
+});
+
+ChatSettingSchema.virtual('quickAppList', {
+  ref: AppCollectionName,
+  localField: 'quickAppIds',
+  foreignField: '_id'
 });
 });
 
 
 ChatSettingSchema.index({ teamId: 1 });
 ChatSettingSchema.index({ teamId: 1 });

packages/service/core/workflow/dispatch/ai/agent/constants.ts

 import { replaceVariable } from '@fastgpt/global/common/string/tools';
 import { replaceVariable } from '@fastgpt/global/common/string/tools';
 
 
-export const Prompt_Tool_Call = `<Instruction>
-你是一个智能机器人，除了可以回答用户问题外，你还掌握工具的使用能力。有时候，你可以依赖工具的运行结果，来更准确的回答用户。
-
-工具使用了 JSON Schema 的格式声明，其中 toolId 是工具的唯一标识， description 是工具的描述，parameters 是工具的参数及参数表述，required 是必填参数的列表。
-
-请你根据工具描述，决定回答问题或是使用工具。在完成任务过程中，USER代表用户的输入，TOOL_RESPONSE代表工具运行结果，ANSWER 代表你的输出。
-你的每次输出都必须以0,1开头，代表是否需要调用工具：
-0: 不使用工具，直接回答内容。
-1: 使用工具，返回工具调用的参数。
-
-例如：
-
-USER: 你好呀
-ANSWER: 0: 你好，有什么可以帮助你的么？
-USER: 现在几点了？
-ANSWER:  1: {"toolId":"searchToolId1"}
-TOOL_RESPONSE: """
-2022/5/5 12:00 Thursday
-"""
-ANSWER: 0: 现在是2022年5月5日，星期四，中午12点。
-USER: 今天杭州的天气如何？
-ANSWER: 1: {"toolId":"searchToolId2","arguments":{"city": "杭州"}}
-TOOL_RESPONSE: """
-晴天......
-"""
-ANSWER: 0: 今天杭州是晴天。
-USER: 今天杭州的天气适合去哪里玩？
-ANSWER: 1: {"toolId":"searchToolId3","arguments":{"query": "杭州 天气 去哪里玩"}}
-TOOL_RESPONSE: """
-晴天. 西湖、灵隐寺、千岛湖……
-"""
-ANSWER: 0: 今天杭州是晴天，适合去西湖、灵隐寺、千岛湖等地玩。
-</Instruction>
-
-------
-
-现在，我们开始吧！下面是你本次可以使用的工具：
-
-"""
-{{toolsPrompt}}
-"""
-
-下面是正式的对话内容：
-
-USER: {{question}}
-ANSWER: `;
-
 export const getMultiplePrompt = (obj: {
 export const getMultiplePrompt = (obj: {
   fileCount: number;
   fileCount: number;
   imgCount: number;
   imgCount: number;

packages/service/core/workflow/dispatch/ai/agent/index.ts

@@ -7,7 +7,7 @@ import type {
 } from '@fastgpt/global/core/workflow/runtime/type';
 } from '@fastgpt/global/core/workflow/runtime/type';
 import { getLLMModel } from '../../../../ai/model';
 import { getLLMModel } from '../../../../ai/model';
 import { filterToolNodeIdByEdges, getNodeErrResponse, getHistories } from '../../utils';
 import { filterToolNodeIdByEdges, getNodeErrResponse, getHistories } from '../../utils';
-import { runToolWithToolChoice } from './toolChoice';
+import { runToolCall } from './toolCall';
 import { type DispatchToolModuleProps, type ToolNodeItemType } from './type';
 import { type DispatchToolModuleProps, type ToolNodeItemType } from './type';
 import { type ChatItemType, type UserChatItemValueItemType } from '@fastgpt/global/core/chat/type';
 import { type ChatItemType, type UserChatItemValueItemType } from '@fastgpt/global/core/chat/type';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
@@ -20,15 +20,12 @@ import {
 } from '@fastgpt/global/core/chat/adapt';
 } from '@fastgpt/global/core/chat/adapt';
 import { formatModelChars2Points } from '../../../../../support/wallet/usage/utils';
 import { formatModelChars2Points } from '../../../../../support/wallet/usage/utils';
 import { getHistoryPreview } from '@fastgpt/global/core/chat/utils';
 import { getHistoryPreview } from '@fastgpt/global/core/chat/utils';
-import { runToolWithFunctionCall } from './functionCall';
-import { runToolWithPromptCall } from './promptCall';
 import { replaceVariable } from '@fastgpt/global/common/string/tools';
 import { replaceVariable } from '@fastgpt/global/common/string/tools';
-import { getMultiplePrompt, Prompt_Tool_Call } from './constants';
+import { getMultiplePrompt } from './constants';
 import { filterToolResponseToPreview } from './utils';
 import { filterToolResponseToPreview } from './utils';
 import { getFileContentFromLinks, getHistoryFileLinks } from '../../tools/readFiles';
 import { getFileContentFromLinks, getHistoryFileLinks } from '../../tools/readFiles';
 import { parseUrlToFileType } from '@fastgpt/global/common/file/tools';
 import { parseUrlToFileType } from '@fastgpt/global/common/file/tools';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
-import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
 import { getDocumentQuotePrompt } from '@fastgpt/global/core/ai/prompt/AIChat';
 import { getDocumentQuotePrompt } from '@fastgpt/global/core/ai/prompt/AIChat';
 import { postTextCensor } from '../../../../chat/postTextCensor';
 import { postTextCensor } from '../../../../chat/postTextCensor';
 import type { FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io';
 import type { FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io';
@@ -180,8 +177,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
     const {
     const {
       toolWorkflowInteractiveResponse,
       toolWorkflowInteractiveResponse,
       dispatchFlowResponse, // tool flow response
       dispatchFlowResponse, // tool flow response
-      toolNodeInputTokens,
-      toolNodeOutputTokens,
+      toolCallInputTokens,
+      toolCallOutputTokens,
       completeMessages = [], // The actual message sent to AI(just save text)
       completeMessages = [], // The actual message sent to AI(just save text)
       assistantResponses = [], // FastGPT system store assistant.value response
       assistantResponses = [], // FastGPT system store assistant.value response
       runTimes,
       runTimes,
@@ -201,64 +198,25 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
         interactiveEntryToolParams: lastInteractive?.toolParams
         interactiveEntryToolParams: lastInteractive?.toolParams
       };
       };
 
 
-      if (toolModel.toolChoice) {
-        return runToolWithToolChoice({
-          ...props,
-          ...requestParams,
-          maxRunToolTimes: 30
-        });
-      }
-      if (toolModel.functionCall) {
-        return runToolWithFunctionCall({
-          ...props,
-          ...requestParams
-        });
-      }
-
-      const lastMessage = adaptMessages[adaptMessages.length - 1];
-      if (typeof lastMessage?.content === 'string') {
-        lastMessage.content = replaceVariable(Prompt_Tool_Call, {
-          question: lastMessage.content
-        });
-      } else if (Array.isArray(lastMessage.content)) {
-        // array, replace last element
-        const lastText = lastMessage.content[lastMessage.content.length - 1];
-        if (lastText.type === 'text') {
-          lastText.text = replaceVariable(Prompt_Tool_Call, {
-            question: lastText.text
-          });
-        } else {
-          return Promise.reject('Prompt call invalid input');
-        }
-      } else {
-        return Promise.reject('Prompt call invalid input');
-      }
-
-      return runToolWithPromptCall({
+      return runToolCall({
         ...props,
         ...props,
-        ...requestParams
+        ...requestParams,
+        maxRunToolTimes: 30
       });
       });
     })();
     })();
 
 
-    const { totalPoints, modelName } = formatModelChars2Points({
+    const { totalPoints: modelTotalPoints, modelName } = formatModelChars2Points({
       model,
       model,
-      inputTokens: toolNodeInputTokens,
-      outputTokens: toolNodeOutputTokens,
-      modelType: ModelTypeEnum.llm
+      inputTokens: toolCallInputTokens,
+      outputTokens: toolCallOutputTokens
     });
     });
-    const toolAIUsage = externalProvider.openaiAccount?.key ? 0 : totalPoints;
+    const modelUsage = externalProvider.openaiAccount?.key ? 0 : modelTotalPoints;
 
 
-    // flat child tool response
-    const childToolResponse = dispatchFlowResponse.map((item) => item.flowResponses).flat();
+    const toolUsages = dispatchFlowResponse.map((item) => item.flowUsages).flat();
+    const toolTotalPoints = toolUsages.reduce((sum, item) => sum + item.totalPoints, 0);
 
 
     // concat tool usage
     // concat tool usage
-    const totalPointsUsage =
-      toolAIUsage +
-      dispatchFlowResponse.reduce((sum, item) => {
-        const childrenTotal = item.flowUsages.reduce((sum, item) => sum + item.totalPoints, 0);
-        return sum + childrenTotal;
-      }, 0);
-    const flatUsages = dispatchFlowResponse.map((item) => item.flowUsages).flat();
+    const totalPointsUsage = modelUsage + toolTotalPoints;
 
 
     const previewAssistantResponses = filterToolResponseToPreview(assistantResponses);
     const previewAssistantResponses = filterToolResponseToPreview(assistantResponses);
 
 
@@ -274,31 +232,31 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
       [DispatchNodeResponseKeyEnum.nodeResponse]: {
       [DispatchNodeResponseKeyEnum.nodeResponse]: {
         // 展示的积分消耗
         // 展示的积分消耗
         totalPoints: totalPointsUsage,
         totalPoints: totalPointsUsage,
-        toolCallInputTokens: toolNodeInputTokens,
-        toolCallOutputTokens: toolNodeOutputTokens,
-        childTotalPoints: flatUsages.reduce((sum, item) => sum + item.totalPoints, 0),
+        toolCallInputTokens: toolCallInputTokens,
+        toolCallOutputTokens: toolCallOutputTokens,
+        childTotalPoints: toolTotalPoints,
         model: modelName,
         model: modelName,
         query: userChatInput,
         query: userChatInput,
         historyPreview: getHistoryPreview(
         historyPreview: getHistoryPreview(
-          GPTMessages2Chats(completeMessages, false),
+          GPTMessages2Chats({ messages: completeMessages, reserveTool: false }),
           10000,
           10000,
           useVision
           useVision
         ),
         ),
-        toolDetail: childToolResponse,
+        toolDetail: dispatchFlowResponse.map((item) => item.flowResponses).flat(),
         mergeSignId: nodeId,
         mergeSignId: nodeId,
         finishReason: finish_reason
         finishReason: finish_reason
       },
       },
       [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
       [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
-        // 工具调用本身的积分消耗
+        // 模型本身的积分消耗
         {
         {
           moduleName: name,
           moduleName: name,
           model: modelName,
           model: modelName,
-          totalPoints: toolAIUsage,
-          inputTokens: toolNodeInputTokens,
-          outputTokens: toolNodeOutputTokens
+          totalPoints: modelUsage,
+          inputTokens: toolCallInputTokens,
+          outputTokens: toolCallOutputTokens
         },
         },
         // 工具的消耗
         // 工具的消耗
-        ...flatUsages
+        ...toolUsages
       ],
       ],
       [DispatchNodeResponseKeyEnum.interactive]: toolWorkflowInteractiveResponse
       [DispatchNodeResponseKeyEnum.interactive]: toolWorkflowInteractiveResponse
     };
     };

packages/service/core/workflow/dispatch/ai/agent/type.d.ts

@@ -42,8 +42,8 @@ export type DispatchToolModuleProps = ModuleDispatchProps<{
 
 
 export type RunToolResponse = {
 export type RunToolResponse = {
   dispatchFlowResponse: DispatchFlowResponse[];
   dispatchFlowResponse: DispatchFlowResponse[];
-  toolNodeInputTokens: number;
-  toolNodeOutputTokens: number;
+  toolCallInputTokens: number;
+  toolCallOutputTokens: number;
   completeMessages?: ChatCompletionMessageParam[];
   completeMessages?: ChatCompletionMessageParam[];
   assistantResponses?: AIChatItemValueItemType[];
   assistantResponses?: AIChatItemValueItemType[];
   toolWorkflowInteractiveResponse?: WorkflowInteractiveResponseType;
   toolWorkflowInteractiveResponse?: WorkflowInteractiveResponseType;

packages/service/core/workflow/dispatch/ai/classifyQuestion.ts

 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
-import {
-  countGptMessagesTokens,
-  countPromptTokens
-} from '../../../../common/string/tiktoken/index';
 import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
 import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
-import { createChatCompletion } from '../../../ai/config';
 import type { ClassifyQuestionAgentItemType } from '@fastgpt/global/core/workflow/template/system/classifyQuestion/type';
 import type { ClassifyQuestionAgentItemType } from '@fastgpt/global/core/workflow/template/system/classifyQuestion/type';
 import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
@@ -18,10 +13,9 @@ import { getHistories } from '../utils';
 import { formatModelChars2Points } from '../../../../support/wallet/usage/utils';
 import { formatModelChars2Points } from '../../../../support/wallet/usage/utils';
 import { type DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
 import { type DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
 import { getHandleId } from '@fastgpt/global/core/workflow/utils';
 import { getHandleId } from '@fastgpt/global/core/workflow/utils';
-import { loadRequestMessages } from '../../../chat/utils';
-import { llmCompletionsBodyFormat, formatLLMResponse } from '../../../ai/utils';
 import { addLog } from '../../../../common/system/log';
 import { addLog } from '../../../../common/system/log';
 import { ModelTypeEnum } from '../../../../../global/core/ai/model';
 import { ModelTypeEnum } from '../../../../../global/core/ai/model';
+import { createLLMResponse } from '../../../ai/llm/request';
 
 
 type Props = ModuleDispatchProps<{
 type Props = ModuleDispatchProps<{
   [NodeInputKeyEnum.aiModel]: string;
   [NodeInputKeyEnum.aiModel]: string;
@@ -73,8 +67,7 @@ export const dispatchClassifyQuestion = async (props: Props): Promise<CQResponse
   const { totalPoints, modelName } = formatModelChars2Points({
   const { totalPoints, modelName } = formatModelChars2Points({
     model: cqModel.model,
     model: cqModel.model,
     inputTokens: inputTokens,
     inputTokens: inputTokens,
-    outputTokens: outputTokens,
-    modelType: ModelTypeEnum.llm
+    outputTokens: outputTokens
   });
   });
 
 
   return {
   return {
@@ -147,24 +140,19 @@ const completions = async ({
       ]
       ]
     }
     }
   ];
   ];
-  const requestMessages = await loadRequestMessages({
-    messages: chats2GPTMessages({ messages, reserveId: false }),
-    useVision: false
-  });
 
 
-  const { response } = await createChatCompletion({
-    body: llmCompletionsBodyFormat(
-      {
-        model: cqModel.model,
-        temperature: 0.01,
-        messages: requestMessages,
-        stream: true
-      },
-      cqModel
-    ),
+  const {
+    answerText: answer,
+    usage: { inputTokens, outputTokens }
+  } = await createLLMResponse({
+    body: {
+      model: cqModel.model,
+      temperature: 0.01,
+      messages: chats2GPTMessages({ messages, reserveId: false }),
+      stream: true
+    },
     userKey: externalProvider.openaiAccount
     userKey: externalProvider.openaiAccount
   });
   });
-  const { text: answer, usage } = await formatLLMResponse(response);
 
 
   // console.log(JSON.stringify(chats2GPTMessages({ messages, reserveId: false }), null, 2));
   // console.log(JSON.stringify(chats2GPTMessages({ messages, reserveId: false }), null, 2));
 
 
@@ -178,8 +166,8 @@ const completions = async ({
   }
   }
 
 
   return {
   return {
-    inputTokens: usage?.prompt_tokens || (await countGptMessagesTokens(requestMessages)),
-    outputTokens: usage?.completion_tokens || (await countPromptTokens(answer)),
+    inputTokens,
+    outputTokens,
     arg: { type: id }
     arg: { type: id }
   };
   };
 };
 };

packages/service/core/workflow/dispatch/ai/extract.ts

 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
 import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
-import { filterGPTMessageByMaxContext, loadRequestMessages } from '../../../chat/utils';
+import { filterGPTMessageByMaxContext } from '../../../ai/llm/utils';
 import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
 import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
-import {
-  countMessagesTokens,
-  countGptMessagesTokens,
-  countPromptTokens
-} from '../../../../common/string/tiktoken/index';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
-import { createChatCompletion } from '../../../ai/config';
 import type { ContextExtractAgentItemType } from '@fastgpt/global/core/workflow/template/system/contextExtract/type';
 import type { ContextExtractAgentItemType } from '@fastgpt/global/core/workflow/template/system/contextExtract/type';
 import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import {
 import {
@@ -29,12 +23,12 @@ import {
 } from '@fastgpt/global/core/ai/type';
 } from '@fastgpt/global/core/ai/type';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { type DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
 import { type DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
-import { llmCompletionsBodyFormat, formatLLMResponse } from '../../../ai/utils';
 import { ModelTypeEnum } from '../../../../../global/core/ai/model';
 import { ModelTypeEnum } from '../../../../../global/core/ai/model';
 import {
 import {
   getExtractJsonPrompt,
   getExtractJsonPrompt,
   getExtractJsonToolPrompt
   getExtractJsonToolPrompt
 } from '@fastgpt/global/core/ai/prompt/agent';
 } from '@fastgpt/global/core/ai/prompt/agent';
+import { createLLMResponse } from '../../../ai/llm/request';
 
 
 type Props = ModuleDispatchProps<{
 type Props = ModuleDispatchProps<{
   [NodeInputKeyEnum.history]?: ChatItemType[];
   [NodeInputKeyEnum.history]?: ChatItemType[];
@@ -128,8 +122,7 @@ export async function dispatchContentExtract(props: Props): Promise<Response> {
     const { totalPoints, modelName } = formatModelChars2Points({
     const { totalPoints, modelName } = formatModelChars2Points({
       model: extractModel.model,
       model: extractModel.model,
       inputTokens: inputTokens,
       inputTokens: inputTokens,
-      outputTokens: outputTokens,
-      modelType: ModelTypeEnum.llm
+      outputTokens: outputTokens
     });
     });
 
 
     return {
     return {
@@ -231,10 +224,6 @@ const toolChoice = async (props: ActionProps) => {
     messages: adaptMessages,
     messages: adaptMessages,
     maxContext: extractModel.maxContext
     maxContext: extractModel.maxContext
   });
   });
-  const requestMessages = await loadRequestMessages({
-    messages: filterMessages,
-    useVision: false
-  });
 
 
   const schema = getJsonSchema(props);
   const schema = getJsonSchema(props);
 
 
@@ -253,23 +242,22 @@ const toolChoice = async (props: ActionProps) => {
     }
     }
   ];
   ];
 
 
-  const body = llmCompletionsBodyFormat(
-    {
-      stream: true,
-      model: extractModel.model,
-      temperature: 0.01,
-      messages: requestMessages,
-      tools,
-      tool_choice: { type: 'function', function: { name: agentFunName } }
-    },
-    extractModel
-  );
-
-  const { response } = await createChatCompletion({
+  const body = {
+    stream: true,
+    model: extractModel.model,
+    temperature: 0.01,
+    messages: filterMessages,
+    tools,
+    tool_choice: { type: 'function', function: { name: agentFunName } }
+  } as const;
+  const {
+    answerText: text,
+    toolCalls,
+    usage: { inputTokens, outputTokens }
+  } = await createLLMResponse({
     body,
     body,
     userKey: externalProvider.openaiAccount
     userKey: externalProvider.openaiAccount
   });
   });
-  const { text, toolCalls, usage } = await formatLLMResponse(response);
 
 
   const arg: Record<string, any> = (() => {
   const arg: Record<string, any> = (() => {
     try {
     try {
@@ -289,8 +277,6 @@ const toolChoice = async (props: ActionProps) => {
     }
     }
   ];
   ];
 
 
-  const inputTokens = usage?.prompt_tokens || (await countGptMessagesTokens(filterMessages, tools));
-  const outputTokens = usage?.completion_tokens || (await countGptMessagesTokens(AIMessages));
   return {
   return {
     inputTokens,
     inputTokens,
     outputTokens,
     outputTokens,
@@ -336,26 +322,19 @@ const completions = async (props: ActionProps) => {
       ]
       ]
     }
     }
   ];
   ];
-  const requestMessages = await loadRequestMessages({
-    messages: chats2GPTMessages({ messages, reserveId: false }),
-    useVision: false
-  });
 
 
-  const { response } = await createChatCompletion({
-    body: llmCompletionsBodyFormat(
-      {
-        model: extractModel.model,
-        temperature: 0.01,
-        messages: requestMessages,
-        stream: true
-      },
-      extractModel
-    ),
+  const {
+    answerText: answer,
+    usage: { inputTokens, outputTokens }
+  } = await createLLMResponse({
+    body: {
+      model: extractModel.model,
+      temperature: 0.01,
+      messages: chats2GPTMessages({ messages, reserveId: false }),
+      stream: true
+    },
     userKey: externalProvider.openaiAccount
     userKey: externalProvider.openaiAccount
   });
   });
-  const { text: answer, usage } = await formatLLMResponse(response);
-  const inputTokens = usage?.prompt_tokens || (await countMessagesTokens(messages));
-  const outputTokens = usage?.completion_tokens || (await countPromptTokens(answer));
 
 
   // parse response
   // parse response
   const jsonStr = sliceJsonStr(answer);
   const jsonStr = sliceJsonStr(answer);

packages/service/core/workflow/dispatch/constants.ts

+import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
+import { dispatchAppRequest } from './abandoned/runApp';
+import { dispatchClassifyQuestion } from './ai/classifyQuestion';
+import { dispatchContentExtract } from './ai/extract';
+import { dispatchRunTools } from './ai/agent/index';
+import { dispatchStopToolCall } from './ai/agent/stopTool';
+import { dispatchToolParams } from './ai/agent/toolParams';
+import { dispatchChatCompletion } from './ai/chat';
+import { dispatchCodeSandbox } from './tools/codeSandbox';
+import { dispatchDatasetConcat } from './dataset/concat';
+import { dispatchDatasetSearch } from './dataset/search';
+import { dispatchSystemConfig } from './init/systemConfig';
+import { dispatchWorkflowStart } from './init/workflowStart';
+import { dispatchFormInput } from './interactive/formInput';
+import { dispatchUserSelect } from './interactive/userSelect';
+import { dispatchLoop } from './loop/runLoop';
+import { dispatchLoopEnd } from './loop/runLoopEnd';
+import { dispatchLoopStart } from './loop/runLoopStart';
+import { dispatchRunPlugin } from './plugin/run';
+import { dispatchRunAppNode } from './child/runApp';
+import { dispatchPluginInput } from './plugin/runInput';
+import { dispatchPluginOutput } from './plugin/runOutput';
+import { dispatchRunTool } from './child/runTool';
+import { dispatchAnswer } from './tools/answer';
+import { dispatchCustomFeedback } from './tools/customFeedback';
+import { dispatchHttp468Request } from './tools/http468';
+import { dispatchQueryExtension } from './tools/queryExternsion';
+import { dispatchReadFiles } from './tools/readFiles';
+import { dispatchIfElse } from './tools/runIfElse';
+import { dispatchLafRequest } from './tools/runLaf';
+import { dispatchUpdateVariable } from './tools/runUpdateVar';
+import { dispatchTextEditor } from './tools/textEditor';
+
+export const callbackMap: Record<FlowNodeTypeEnum, Function> = {
+  [FlowNodeTypeEnum.workflowStart]: dispatchWorkflowStart,
+  [FlowNodeTypeEnum.answerNode]: dispatchAnswer,
+  [FlowNodeTypeEnum.chatNode]: dispatchChatCompletion,
+  [FlowNodeTypeEnum.datasetSearchNode]: dispatchDatasetSearch,
+  [FlowNodeTypeEnum.datasetConcatNode]: dispatchDatasetConcat,
+  [FlowNodeTypeEnum.classifyQuestion]: dispatchClassifyQuestion,
+  [FlowNodeTypeEnum.contentExtract]: dispatchContentExtract,
+  [FlowNodeTypeEnum.httpRequest468]: dispatchHttp468Request,
+  [FlowNodeTypeEnum.appModule]: dispatchRunAppNode,
+  [FlowNodeTypeEnum.pluginModule]: dispatchRunPlugin,
+  [FlowNodeTypeEnum.pluginInput]: dispatchPluginInput,
+  [FlowNodeTypeEnum.pluginOutput]: dispatchPluginOutput,
+  [FlowNodeTypeEnum.queryExtension]: dispatchQueryExtension,
+  [FlowNodeTypeEnum.agent]: dispatchRunTools,
+  [FlowNodeTypeEnum.stopTool]: dispatchStopToolCall,
+  [FlowNodeTypeEnum.toolParams]: dispatchToolParams,
+  [FlowNodeTypeEnum.lafModule]: dispatchLafRequest,
+  [FlowNodeTypeEnum.ifElseNode]: dispatchIfElse,
+  [FlowNodeTypeEnum.variableUpdate]: dispatchUpdateVariable,
+  [FlowNodeTypeEnum.code]: dispatchCodeSandbox,
+  [FlowNodeTypeEnum.textEditor]: dispatchTextEditor,
+  [FlowNodeTypeEnum.customFeedback]: dispatchCustomFeedback,
+  [FlowNodeTypeEnum.readFiles]: dispatchReadFiles,
+  [FlowNodeTypeEnum.userSelect]: dispatchUserSelect,
+  [FlowNodeTypeEnum.loop]: dispatchLoop,
+  [FlowNodeTypeEnum.loopStart]: dispatchLoopStart,
+  [FlowNodeTypeEnum.loopEnd]: dispatchLoopEnd,
+  [FlowNodeTypeEnum.formInput]: dispatchFormInput,
+  [FlowNodeTypeEnum.tool]: dispatchRunTool,
+
+  // none
+  [FlowNodeTypeEnum.systemConfig]: dispatchSystemConfig,
+  [FlowNodeTypeEnum.pluginConfig]: () => Promise.resolve(),
+  [FlowNodeTypeEnum.emptyNode]: () => Promise.resolve(),
+  [FlowNodeTypeEnum.globalVariable]: () => Promise.resolve(),
+  [FlowNodeTypeEnum.comment]: () => Promise.resolve(),
+  [FlowNodeTypeEnum.toolSet]: () => Promise.resolve(),
+
+  // @deprecated
+  [FlowNodeTypeEnum.runApp]: dispatchAppRequest
+};

packages/service/core/workflow/dispatch/dataset/search.ts

@@ -169,8 +169,7 @@ export async function dispatchDatasetSearch(
     const { totalPoints: embeddingTotalPoints, modelName: embeddingModelName } =
     const { totalPoints: embeddingTotalPoints, modelName: embeddingModelName } =
       formatModelChars2Points({
       formatModelChars2Points({
         model: vectorModel.model,
         model: vectorModel.model,
-        inputTokens: embeddingTokens,
-        modelType: ModelTypeEnum.embedding
+        inputTokens: embeddingTokens
       });
       });
     nodeDispatchUsages.push({
     nodeDispatchUsages.push({
       totalPoints: embeddingTotalPoints,
       totalPoints: embeddingTotalPoints,
@@ -181,8 +180,7 @@ export async function dispatchDatasetSearch(
     // Rerank
     // Rerank
     const { totalPoints: reRankTotalPoints, modelName: reRankModelName } = formatModelChars2Points({
     const { totalPoints: reRankTotalPoints, modelName: reRankModelName } = formatModelChars2Points({
       model: rerankModelData?.model,
       model: rerankModelData?.model,
-      inputTokens: reRankInputTokens,
-      modelType: ModelTypeEnum.rerank
+      inputTokens: reRankInputTokens
     });
     });
     if (usingReRank) {
     if (usingReRank) {
       nodeDispatchUsages.push({
       nodeDispatchUsages.push({
@@ -198,8 +196,7 @@ export async function dispatchDatasetSearch(
         const { totalPoints, modelName } = formatModelChars2Points({
         const { totalPoints, modelName } = formatModelChars2Points({
           model: queryExtensionResult.model,
           model: queryExtensionResult.model,
           inputTokens: queryExtensionResult.inputTokens,
           inputTokens: queryExtensionResult.inputTokens,
-          outputTokens: queryExtensionResult.outputTokens,
-          modelType: ModelTypeEnum.llm
+          outputTokens: queryExtensionResult.outputTokens
         });
         });
         nodeDispatchUsages.push({
         nodeDispatchUsages.push({
           totalPoints,
           totalPoints,
@@ -222,8 +219,7 @@ export async function dispatchDatasetSearch(
         const { totalPoints, modelName } = formatModelChars2Points({
         const { totalPoints, modelName } = formatModelChars2Points({
           model: deepSearchResult.model,
           model: deepSearchResult.model,
           inputTokens: deepSearchResult.inputTokens,
           inputTokens: deepSearchResult.inputTokens,
-          outputTokens: deepSearchResult.outputTokens,
-          modelType: ModelTypeEnum.llm
+          outputTokens: deepSearchResult.outputTokens
         });
         });
         nodeDispatchUsages.push({
         nodeDispatchUsages.push({
           totalPoints,
           totalPoints,

packages/service/core/workflow/dispatch/tools/queryExternsion.ts

@@ -45,8 +45,7 @@ export const dispatchQueryExtension = async ({
   const { totalPoints, modelName } = formatModelChars2Points({
   const { totalPoints, modelName } = formatModelChars2Points({
     model: queryExtensionModel.model,
     model: queryExtensionModel.model,
     inputTokens,
     inputTokens,
-    outputTokens,
-    modelType: ModelTypeEnum.llm
+    outputTokens
   });
   });
 
 
   const set = new Set<string>();
   const set = new Set<string>();

packages/service/package.json

@@ -3,7 +3,6 @@
   "version": "1.0.0",
   "version": "1.0.0",
   "type": "module",
   "type": "module",
   "dependencies": {
   "dependencies": {
-    "@fastgpt-sdk/plugin": "^0.1.9",
     "@fastgpt/global": "workspace:*",
     "@fastgpt/global": "workspace:*",
     "@modelcontextprotocol/sdk": "^1.12.1",
     "@modelcontextprotocol/sdk": "^1.12.1",
     "@node-rs/jieba": "2.0.1",
     "@node-rs/jieba": "2.0.1",

packages/service/support/permission/app/auth.ts

@@ -88,6 +88,13 @@ export const authAppByTmbId = async ({
       };
       };
     }
     }
 
 
+    if (app.favourite || app.quick) {
+      return {
+        ...app,
+        permission: new AppPermission({ isOwner: false, role: ReadRoleVal })
+      };
+    }
+
     const isOwner = tmbPer.isOwner || String(app.tmbId) === String(tmbId);
     const isOwner = tmbPer.isOwner || String(app.tmbId) === String(tmbId);
 
 
     const { Per } = await (async () => {
     const { Per } = await (async () => {

packages/service/support/wallet/usage/controller.ts

@@ -218,7 +218,6 @@ export const pushLLMTrainingUsage = async ({
   // Compute points
   // Compute points
   const { totalPoints } = formatModelChars2Points({
   const { totalPoints } = formatModelChars2Points({
     model,
     model,
-    modelType: ModelTypeEnum.llm,
     inputTokens,
     inputTokens,
     outputTokens
     outputTokens
   });
   });

packages/service/support/wallet/usage/utils.ts

 import { findAIModel } from '../../../core/ai/model';
 import { findAIModel } from '../../../core/ai/model';
-import type { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
 
 
 export const formatModelChars2Points = ({
 export const formatModelChars2Points = ({
   model,
   model,
   inputTokens = 0,
   inputTokens = 0,
   outputTokens = 0,
   outputTokens = 0,
-  modelType,
   multiple = 1000
   multiple = 1000
 }: {
 }: {
   model: string;
   model: string;
   inputTokens?: number;
   inputTokens?: number;
   outputTokens?: number;
   outputTokens?: number;
-  modelType: `${ModelTypeEnum}`;
   multiple?: number;
   multiple?: number;
 }) => {
 }) => {
   const modelData = findAIModel(model);
   const modelData = findAIModel(model);

packages/service/thirdProvider/doc2x/index.ts

@@ -86,11 +86,11 @@ export const useDoc2xServer = ({ apiKey }: { apiKey: string }) => {
     const uid = preupload_data.uid;
     const uid = preupload_data.uid;
 
 
     // 2. Upload file to pre-signed URL with binary stream
     // 2. Upload file to pre-signed URL with binary stream
-    const blob = new Blob([fileBuffer], { type: 'application/pdf' });
     const response = await axios
     const response = await axios
-      .put(upload_url, blob, {
+      .put(upload_url, fileBuffer, {
         headers: {
         headers: {
-          'Content-Type': 'application/pdf'
+          'Content-Type': 'application/pdf',
+          'Content-Length': fileBuffer.length.toString()
         }
         }
       })
       })
       .catch((error) => {
       .catch((error) => {

packages/service/thirdProvider/fastgptPlugin/index.ts

-import createClient from '@fastgpt-sdk/plugin';
+import { createClient } from '@fastgpt/global/sdk/fastgpt-plugin';
 
 
 export const BASE_URL = process.env.PLUGIN_BASE_URL || '';
 export const BASE_URL = process.env.PLUGIN_BASE_URL || '';
 export const TOKEN = process.env.PLUGIN_TOKEN || '';
 export const TOKEN = process.env.PLUGIN_TOKEN || '';

packages/web/components/common/DndDrag/index.tsx

@@ -23,9 +23,17 @@ type Props<T = any> = {
   }) => ReactElement<HTMLElement, string>;
   }) => ReactElement<HTMLElement, string>;
   dataList: T[];
   dataList: T[];
   zoom?: number;
   zoom?: number;
+  renderInnerPlaceholder?: boolean;
 };
 };
 
 
-function DndDrag<T>({ children, renderClone, onDragEndCb, dataList, zoom = 1 }: Props<T>) {
+function DndDrag<T>({
+  children,
+  renderClone,
+  onDragEndCb,
+  dataList,
+  zoom = 1,
+  renderInnerPlaceholder = true
+}: Props<T>) {
   const [draggingItemHeight, setDraggingItemHeight] = useState(0);
   const [draggingItemHeight, setDraggingItemHeight] = useState(0);
 
 
   const onDragStart = (start: DragStart) => {
   const onDragStart = (start: DragStart) => {
@@ -55,7 +63,9 @@ function DndDrag<T>({ children, renderClone, onDragEndCb, dataList, zoom = 1 }:
         {(provided, snapshot) => (
         {(provided, snapshot) => (
           <>
           <>
             {children({ provided, snapshot })}
             {children({ provided, snapshot })}
-            {snapshot.isDraggingOver && <Box height={`${draggingItemHeight / zoom}px`} />}
+            {snapshot.isDraggingOver && renderInnerPlaceholder && (
+              <Box height={`${draggingItemHeight / zoom}px`} />
+            )}
           </>
           </>
         )}
         )}
       </Droppable>
       </Droppable>

packages/web/components/common/Icon/constants.ts

@@ -214,6 +214,7 @@ export const iconPaths = {
   'core/chat/sidebar/home': () => import('./icons/core/chat/sidebar/home.svg'),
   'core/chat/sidebar/home': () => import('./icons/core/chat/sidebar/home.svg'),
   'core/chat/sidebar/logout': () => import('./icons/core/chat/sidebar/logout.svg'),
   'core/chat/sidebar/logout': () => import('./icons/core/chat/sidebar/logout.svg'),
   'core/chat/sidebar/menu': () => import('./icons/core/chat/sidebar/menu.svg'),
   'core/chat/sidebar/menu': () => import('./icons/core/chat/sidebar/menu.svg'),
+  'core/chat/sidebar/star': () => import('./icons/core/chat/sidebar/star.svg'),
   'core/chat/speaking': () => import('./icons/core/chat/speaking.svg'),
   'core/chat/speaking': () => import('./icons/core/chat/speaking.svg'),
   'core/chat/stopSpeech': () => import('./icons/core/chat/stopSpeech.svg'),
   'core/chat/stopSpeech': () => import('./icons/core/chat/stopSpeech.svg'),
   'core/chat/think': () => import('./icons/core/chat/think.svg'),
   'core/chat/think': () => import('./icons/core/chat/think.svg'),
@@ -413,44 +414,11 @@ export const iconPaths = {
   'modal/selectSource': () => import('./icons/modal/selectSource.svg'),
   'modal/selectSource': () => import('./icons/modal/selectSource.svg'),
   'modal/setting': () => import('./icons/modal/setting.svg'),
   'modal/setting': () => import('./icons/modal/setting.svg'),
   'modal/teamPlans': () => import('./icons/modal/teamPlans.svg'),
   'modal/teamPlans': () => import('./icons/modal/teamPlans.svg'),
-  'model/BAAI': () => import('./icons/model/BAAI.svg'),
-  'model/ai360': () => import('./icons/model/ai360.svg'),
-  'model/alicloud': () => import('./icons/model/alicloud.svg'),
   'model/aws': () => import('./icons/model/aws.svg'),
   'model/aws': () => import('./icons/model/aws.svg'),
   'model/azure': () => import('./icons/model/azure.svg'),
   'model/azure': () => import('./icons/model/azure.svg'),
-  'model/baichuan': () => import('./icons/model/baichuan.svg'),
-  'model/chatglm': () => import('./icons/model/chatglm.svg'),
-  'model/claude': () => import('./icons/model/claude.svg'),
   'model/cloudflare': () => import('./icons/model/cloudflare.svg'),
   'model/cloudflare': () => import('./icons/model/cloudflare.svg'),
   'model/cohere': () => import('./icons/model/cohere.svg'),
   'model/cohere': () => import('./icons/model/cohere.svg'),
   'model/coze': () => import('./icons/model/coze.svg'),
   'model/coze': () => import('./icons/model/coze.svg'),
-  'model/deepseek': () => import('./icons/model/deepseek.svg'),
-  'model/doubao': () => import('./icons/model/doubao.svg'),
-  'model/ernie': () => import('./icons/model/ernie.svg'),
-  'model/fishaudio': () => import('./icons/model/fishaudio.svg'),
-  'model/gemini': () => import('./icons/model/gemini.svg'),
-  'model/grok': () => import('./icons/model/grok.svg'),
-  'model/groq': () => import('./icons/model/groq.svg'),
-  'model/huggingface': () => import('./icons/model/huggingface.svg'),
-  'model/hunyuan': () => import('./icons/model/hunyuan.svg'),
-  'model/intern': () => import('./icons/model/intern.svg'),
-  'model/jina': () => import('./icons/model/jina.svg'),
-  'model/meta': () => import('./icons/model/meta.svg'),
-  'model/minimax': () => import('./icons/model/minimax.svg'),
-  'model/mistral': () => import('./icons/model/mistral.svg'),
-  'model/moka': () => import('./icons/model/moka.svg'),
-  'model/moonshot': () => import('./icons/model/moonshot.svg'),
-  'model/novita': () => import('./icons/model/novita.svg'),
-  'model/ollama': () => import('./icons/model/ollama.svg'),
-  'model/openai': () => import('./icons/model/openai.svg'),
-  'model/openrouter': () => import('./icons/model/openrouter.svg'),
-  'model/ppio': () => import('./icons/model/ppio.svg'),
-  'model/qwen': () => import('./icons/model/qwen.svg'),
-  'model/siliconflow': () => import('./icons/model/siliconflow.svg'),
-  'model/sparkDesk': () => import('./icons/model/sparkDesk.svg'),
-  'model/stepfun': () => import('./icons/model/stepfun.svg'),
-  'model/vertexai': () => import('./icons/model/vertexai.svg'),
-  'model/yi': () => import('./icons/model/yi.svg'),
   more: () => import('./icons/more.svg'),
   more: () => import('./icons/more.svg'),
   moreLine: () => import('./icons/moreLine.svg'),
   moreLine: () => import('./icons/moreLine.svg'),
   optimizer: () => import('./icons/optimizer.svg'),
   optimizer: () => import('./icons/optimizer.svg'),

packages/web/components/common/Icon/icons/core/chat/sidebar/star.svg

+<svg viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path fill-rule="evenodd" clip-rule="evenodd" d="M9.82407 2.66888C10.195 1.64163 11.6478 1.64162 12.0187 2.66888L13.6696 7.24094L18.2167 8.90465C19.2378 9.27823 19.2378 10.7223 18.2167 11.0959L13.6696 12.7596L12.0187 17.3317C11.6478 18.3589 10.195 18.3589 9.82407 17.3317L8.17318 12.7596L3.62605 11.0959C2.60499 10.7223 2.60498 9.27824 3.62605 8.90465L8.17318 7.24094L9.82407 2.66888ZM10.9214 4.53733L9.66151 8.02652C9.54427 8.35121 9.28925 8.60731 8.96506 8.72593L5.48208 10.0003L8.96506 11.2746C9.28925 11.3933 9.54427 11.6494 9.66151 11.974L10.9214 15.4632L12.1813 11.974C12.2985 11.6494 12.5535 11.3933 12.8777 11.2746L16.3607 10.0003L12.8777 8.72593C12.5535 8.60731 12.2985 8.35121 12.1813 8.02652L10.9214 4.53733Z"/>
+<path d="M3.49398 2.22273C3.60136 1.93252 4.01183 1.93252 4.11921 2.22273L4.45364 3.1265C4.4874 3.21774 4.55934 3.28968 4.65058 3.32344L5.55435 3.65786C5.84455 3.76525 5.84455 4.17571 5.55435 4.2831L4.65058 4.61752C4.55934 4.65128 4.4874 4.72322 4.45364 4.81446L4.11921 5.71823C4.01183 6.00844 3.60136 6.00844 3.49398 5.71823L3.15955 4.81446C3.12579 4.72322 3.05385 4.65129 2.96261 4.61752L2.05884 4.2831C1.76864 4.17571 1.76863 3.76525 2.05884 3.65786L2.96261 3.32344C3.05385 3.28968 3.12579 3.21774 3.15955 3.1265L3.49398 2.22273Z"/>
+<path d="M3.49398 14.0651C3.60136 13.7749 4.01183 13.7749 4.11921 14.0651L4.45364 14.9689C4.4874 15.0601 4.55934 15.1321 4.65058 15.1658L5.55435 15.5002C5.84455 15.6076 5.84455 16.0181 5.55435 16.1255L4.65058 16.4599C4.55934 16.4937 4.4874 16.5656 4.45364 16.6568L4.11921 17.5606C4.01183 17.8508 3.60136 17.8508 3.49398 17.5606L3.15955 16.6568C3.12579 16.5656 3.05385 16.4937 2.96261 16.4599L2.05884 16.1255C1.76864 16.0181 1.76863 15.6076 2.05884 15.5002L2.96261 15.1658C3.05385 15.1321 3.12579 15.0601 3.15955 14.9689L3.49398 14.0651Z"/>
+</svg>

packages/web/components/common/Icon/icons/model/BAAI.svg

-<svg  viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M17.8421 18.067L13.3433 29.38H17.1204L19.8133 21.8408L22.501 29.38H26.3705L21.8759 18.067H17.8421ZM43.9918 29.3552H47.6953V18.0419H43.9918V29.3552ZM10.4405 24.3003C10.0338 23.8233 9.568 23.4314 8.70827 23.2344C9.27395 23.0491 9.53849 22.8553 9.82969 22.5371C10.2706 22.0593 10.4939 21.4839 10.4939 20.8153C10.4939 20.0204 10.182 19.351 9.56515 18.8106C8.94862 18.272 8.06187 18 6.9088 18H0.000355556V20.4788H6.01067C6.01067 20.4788 6.94436 20.5244 6.93084 21.4074C6.9184 22.3645 5.984 22.3543 5.984 22.3543H0V24.8418H5.5936C5.99716 24.8418 6.63893 24.7581 6.97067 25.0086C7.23307 25.2078 7.33938 25.3655 7.33938 25.6998C7.33938 26.0607 7.20924 26.3484 6.95004 26.5629C6.68764 26.7759 6.44516 26.8276 5.60249 26.8385H0.000355556V29.313H6.36907C6.64107 29.313 7.19431 29.2584 8.02738 29.1564C8.6528 29.0799 9.12035 28.9576 9.43004 28.7861C9.93244 28.5162 10.326 28.144 10.614 27.6761C10.902 27.2092 11.0464 26.6787 11.0464 26.0938C11.0464 25.3731 10.8427 24.7763 10.4405 24.3003ZM35.1371 21.7752L37.824 29.313H41.6949L37.1993 18H33.1652L28.6674 29.313H32.4434L35.1371 21.7752Z" fill="#231F20"/>
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packages/web/components/common/Icon/icons/model/ai360.svg

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packages/web/components/common/Icon/icons/model/vertexai.svg

-<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>VertexAI</title><path d="M11.995 20.216a1.892 1.892 0 100 3.785 1.892 1.892 0 000-3.785zm0 2.806a.927.927 0 11.927-.914.914.914 0 01-.927.914z" fill="#4285F4"></path><path clip-rule="evenodd" d="M21.687 14.144c.237.038.452.16.605.344a.978.978 0 01-.18 1.3l-8.24 6.082a1.892 1.892 0 00-1.147-1.508l8.28-6.08a.991.991 0 01.682-.138z" fill="#669DF6" fill-rule="evenodd"></path><path clip-rule="evenodd" d="M10.122 21.842l-8.217-6.066a.952.952 0 01-.206-1.287.978.978 0 011.287-.206l8.28 6.08a1.893 1.893 0 00-1.144 1.479z" fill="#AECBFA" fill-rule="evenodd"></path><path d="M4.273 4.475a.978.978 0 01-.965-.965V1.09a.978.978 0 111.943 0v2.42a.978.978 0 01-.978.965zM4.247 13.034a.978.978 0 100-1.956.978.978 0 000 1.956zM4.247 10.19a.978.978 0 100-1.956.978.978 0 000 1.956zM4.247 7.332a.978.978 0 100-1.956.978.978 0 000 1.956z" fill="#AECBFA"></path><path d="M19.718 7.307a.978.978 0 01-.965-.979v-2.42a.965.965 0 011.93 0v2.42a.964.964 0 01-.965.979zM19.743 13.047a.978.978 0 100-1.956.978.978 0 000 1.956zM19.743 10.151a.978.978 0 100-1.956.978.978 0 000 1.956zM19.743 2.068a.978.978 0 100-1.956.978.978 0 000 1.956z" fill="#4285F4"></path><path d="M11.995 15.917a.978.978 0 01-.965-.965v-2.459a.978.978 0 011.943 0v2.433a.976.976 0 01-.978.991zM11.995 18.762a.978.978 0 100-1.956.978.978 0 000 1.956zM11.995 10.64a.978.978 0 100-1.956.978.978 0 000 1.956zM11.995 7.783a.978.978 0 100-1.956.978.978 0 000 1.956z" fill="#669DF6"></path><path d="M15.856 10.177a.978.978 0 01-.965-.965v-2.42a.977.977 0 011.702-.763.979.979 0 01.241.763v2.42a.978.978 0 01-.978.965zM15.869 4.913a.978.978 0 100-1.956.978.978 0 000 1.956zM15.869 15.853a.978.978 0 100-1.956.978.978 0 000 1.956zM15.869 12.996a.978.978 0 100-1.956.978.978 0 000 1.956z" fill="#4285F4"></path><path d="M8.121 15.853a.978.978 0 100-1.956.978.978 0 000 1.956zM8.121 7.783a.978.978 0 100-1.956.978.978 0 000 1.956zM8.121 4.913a.978.978 0 100-1.957.978.978 0 000 1.957zM8.134 12.996a.978.978 0 01-.978-.94V9.611a.965.965 0 011.93 0v2.445a.966.966 0 01-.952.94z" fill="#AECBFA"></path></svg>
\ No newline at end of file

packages/web/components/common/Icon/icons/model/yi.svg

-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="none">
-  <path d="M10 20C15.5229 20 20 15.5229 20 10C20 4.47712 15.5229 0 10 0C4.47712 0 0 4.47712 0 10C0 15.5229 4.47712 20 10 20Z" fill="#003425"/>
-  <path d="M15.0705 12.0408C15.0705 11.8535 14.9961 11.6738 14.8636 11.5413C14.7311 11.4088 14.5515 11.3344 14.3641 11.3344C14.1768 11.3344 13.9971 11.4088 13.8646 11.5413C13.7321 11.6738 13.6577 11.8535 13.6577 12.0408V15.6829C13.6577 15.8702 13.7321 16.0499 13.8646 16.1824C13.9971 16.3149 14.1768 16.3893 14.3641 16.3893C14.5515 16.3893 14.7311 16.3149 14.8636 16.1824C14.9961 16.0499 15.0705 15.8702 15.0705 15.6829V12.0408Z" fill="white"/>
-  <path d="M14.067 4.44512C13.9963 4.38501 13.9145 4.33941 13.8262 4.31092C13.7379 4.28243 13.6448 4.27162 13.5524 4.27909C13.4599 4.28656 13.3698 4.31218 13.2872 4.35448C13.2047 4.39677 13.1312 4.45492 13.0711 4.5256L9.12344 9.16752C9.02533 9.28249 8.96687 9.426 8.95672 9.5768C8.95112 9.61248 8.94824 9.6488 8.94824 9.68608V15.6202C8.94824 15.8075 9.02267 15.9872 9.15514 16.1197C9.28762 16.2521 9.46729 16.3266 9.65464 16.3266C9.84199 16.3266 10.0217 16.2521 10.1541 16.1197C10.2866 15.9872 10.361 15.8075 10.361 15.6202V9.8928L14.1474 5.44096C14.2076 5.37029 14.2532 5.28847 14.2816 5.20018C14.3101 5.11189 14.3209 5.01885 14.3135 4.92637C14.306 4.8339 14.2804 4.7438 14.2381 4.66123C14.1958 4.57865 14.1376 4.50522 14.067 4.44512Z" fill="white"/>
-  <path d="M5.33941 4.12558C5.2806 4.05384 5.20823 3.99438 5.12644 3.9506C5.04465 3.90683 4.95504 3.87959 4.86272 3.87045C4.77041 3.8613 4.67719 3.87043 4.58841 3.89731C4.49962 3.92419 4.41699 3.96829 4.34525 4.0271C4.2735 4.08591 4.21405 4.15828 4.17027 4.24007C4.12649 4.32186 4.09926 4.41147 4.09011 4.50379C4.08097 4.5961 4.09009 4.68932 4.11697 4.7781C4.14385 4.86689 4.18796 4.94952 4.24677 5.02126L7.04389 8.43326C7.16266 8.57818 7.33414 8.66997 7.5206 8.68846C7.70705 8.70694 7.89321 8.6506 8.03813 8.53182C8.18304 8.41305 8.27484 8.24157 8.29332 8.05511C8.31181 7.86866 8.25546 7.6825 8.13669 7.53758L5.33925 4.12558H5.33941Z" fill="white"/>
-  <path d="M15.3376 10.1726C15.5666 10.1726 15.7862 10.0817 15.9481 9.91972C16.11 9.7578 16.201 9.53818 16.201 9.30918C16.201 9.08018 16.11 8.86056 15.9481 8.69864C15.7862 8.53671 15.5666 8.44574 15.3376 8.44574C15.1086 8.44574 14.8889 8.53671 14.727 8.69864C14.5651 8.86056 14.4741 9.08018 14.4741 9.30918C14.4741 9.53818 14.5651 9.7578 14.727 9.91972C14.8889 10.0817 15.1086 10.1726 15.3376 10.1726Z" fill="#00FF25"/>
-</svg>
\ No newline at end of file

packages/web/hooks/useSafeTranslation.ts

@@ -4,7 +4,9 @@ import { I18N_NAMESPACES_MAP } from '../i18n/constants';
 export function useSafeTranslation() {
 export function useSafeTranslation() {
   const { t: originalT, ...rest } = useNextTranslation();
   const { t: originalT, ...rest } = useNextTranslation();
 
 
-  const t = (key: string | undefined, ...args: any[]): string => {
+  const t = (key: any, ...args: any[]): string => {
+    if (key === null || key === undefined) return '';
+    if (typeof key !== 'string') return String(key);
     if (!key) return '';
     if (!key) return '';
 
 
     const ns = key.split(':')[0];
     const ns = key.split(':')[0];

packages/web/i18n/en/chat.json

@@ -98,16 +98,49 @@
   "setting.copyright.tips.square": "Suggested ratio 1:1",
   "setting.copyright.tips.square": "Suggested ratio 1:1",
   "setting.copyright.title": "Copyright",
   "setting.copyright.title": "Copyright",
   "setting.copyright.upload_fail": "File upload failed",
   "setting.copyright.upload_fail": "File upload failed",
-  "setting.data_dashboard.title": "Data board",
+  "setting.data_dashboard.title": "Home data",
   "setting.fastgpt_chat_diagram": "/imgs/chat/fastgpt_chat_diagram_en.png",
   "setting.fastgpt_chat_diagram": "/imgs/chat/fastgpt_chat_diagram_en.png",
+  "setting.favourite.add_new_app": "Add an app",
+  "setting.favourite.cancel_button": "Cancel",
+  "setting.favourite.categories_modal.delete_cancel_button": "Cancel",
+  "setting.favourite.categories_modal.delete_confirm": "Confirm deletion {{name}}? \nApps under this category will be moved to default",
+  "setting.favourite.categories_modal.delete_confirm_button": "delete",
+  "setting.favourite.categories_modal.delete_confirm_title": "Confirm deletion",
+  "setting.favourite.categories_modal.title": "Total {{num}} categories",
+  "setting.favourite.category.no_data": "No selected applications available",
+  "setting.favourite.category_all": "All Categories",
+  "setting.favourite.category_placeholder": "Select a category",
+  "setting.favourite.category_tab.all": "All",
+  "setting.favourite.confirm_button": "Sure",
+  "setting.favourite.delete_app_cancel_button": "Cancel",
+  "setting.favourite.delete_app_confirm": "Are you sure you want to remove this featured app?",
+  "setting.favourite.delete_app_confirm_button": "Sure",
+  "setting.favourite.delete_app_title": "Delete the app",
+  "setting.favourite.manage_categories_button": "Manage Category",
+  "setting.favourite.save_category_for_app_button": "Save",
+  "setting.favourite.search_placeholder": "Search for apps",
+  "setting.favourite.selected_list": "Selected: {{num}}",
+  "setting.favourite.table_column_action": "Action",
+  "setting.favourite.table_column_category": "Category",
+  "setting.favourite.table_column_intro": "Introduce",
+  "setting.favourite.table_column_name": "Name",
+  "setting.favourite.tag.no_data": "No classification yet",
+  "setting.favourite.title": "Favourite App",
+  "setting.home.available_tools": "Available tools",
   "setting.home.available_tools.add": "Add",
   "setting.home.available_tools.add": "Add",
+  "setting.home.cancel_button": "Cancel",
   "setting.home.commercial_version": "Commercial version",
   "setting.home.commercial_version": "Commercial version",
+  "setting.home.confirm_button": "Sure",
   "setting.home.diagram": "Schematic diagram",
   "setting.home.diagram": "Schematic diagram",
   "setting.home.dialogue_tips": "Dialog prompt text",
   "setting.home.dialogue_tips": "Dialog prompt text",
   "setting.home.dialogue_tips.default": "You can ask me any questions",
   "setting.home.dialogue_tips.default": "You can ask me any questions",
   "setting.home.dialogue_tips_placeholder": "Please enter the prompt text of the dialog box",
   "setting.home.dialogue_tips_placeholder": "Please enter the prompt text of the dialog box",
   "setting.home.home_tab_title": "Home Page Title",
   "setting.home.home_tab_title": "Home Page Title",
   "setting.home.home_tab_title_placeholder": "Please enter the title of the homepage",
   "setting.home.home_tab_title_placeholder": "Please enter the title of the homepage",
+  "setting.home.no_selected_app": "No selected App",
+  "setting.home.quick_apps": "Quick Apps",
+  "setting.home.quick_apps.add": "Configure quick applications",
+  "setting.home.quick_apps.placeholder": "Please select an application",
   "setting.home.slogan": "Slogan",
   "setting.home.slogan": "Slogan",
   "setting.home.slogan.default": "Hello 👋, I am FastGPT! Is there anything I can help you?",
   "setting.home.slogan.default": "Hello 👋, I am FastGPT! Is there anything I can help you?",
   "setting.home.slogan_placeholder": "Please enter Slogan",
   "setting.home.slogan_placeholder": "Please enter Slogan",
@@ -115,9 +148,9 @@
   "setting.incorrect_plan": "The current plan does not support this feature, please upgrade to the subscription plan",
   "setting.incorrect_plan": "The current plan does not support this feature, please upgrade to the subscription plan",
   "setting.incorrect_version": "This feature is not supported in the current version",
   "setting.incorrect_version": "This feature is not supported in the current version",
   "setting.log_details.title": "Home Log",
   "setting.log_details.title": "Home Log",
-  "setting.logs.title": "Homepage log",
   "setting.save": "Save",
   "setting.save": "Save",
   "setting.save_success": "Save successfully",
   "setting.save_success": "Save successfully",
+  "sidebar.favourite_apps": "Favourite Apps",
   "sidebar.home": "Home",
   "sidebar.home": "Home",
   "sidebar.team_apps": "Team Apps",
   "sidebar.team_apps": "Team Apps",
   "source_cronJob": "Scheduled execution",
   "source_cronJob": "Scheduled execution",

packages/web/i18n/en/common.json

@@ -893,23 +893,7 @@
   "model.type.reRank": "ReRank",
   "model.type.reRank": "ReRank",
   "model.type.stt": "STT",
   "model.type.stt": "STT",
   "model.type.tts": "TTS",
   "model.type.tts": "TTS",
-  "model_alicloud": "Ali Cloud",
-  "model_baai": "BAAI",
-  "model_baichuan": "Baichuan",
-  "model_chatglm": "ChatGLM",
-  "model_doubao": "Doubao",
-  "model_ernie": "Ernie",
-  "model_hunyuan": "Hunyuan",
-  "model_intern": "Intern",
-  "model_moka": "Moka-AI",
-  "model_moonshot": "Moonshot",
-  "model_other": "Other",
-  "model_ppio": "PPIO",
-  "model_qwen": "Qwen",
-  "model_siliconflow": "Siliconflow",
-  "model_sparkdesk": "SprkDesk",
-  "model_stepfun": "StepFun",
-  "model_yi": "Yi",
+
   "month": "Month",
   "month": "Month",
   "move.confirm": "Confirm move",
   "move.confirm": "Confirm move",
   "move_success": "Moved Successfully",
   "move_success": "Moved Successfully",

packages/web/i18n/zh-CN/chat.json

@@ -41,6 +41,7 @@
   "file_input_tip": "可通过【插件开始】节点的“文件链接”获取对应文件的链接",
   "file_input_tip": "可通过【插件开始】节点的“文件链接”获取对应文件的链接",
   "history_slider.home.title": "聊天",
   "history_slider.home.title": "聊天",
   "home.chat_app": "首页聊天",
   "home.chat_app": "首页聊天",
+  "home.chat_id": "会话ID",
   "home.no_available_tools": "暂无可用工具",
   "home.no_available_tools": "暂无可用工具",
   "home.select_tools": "选择工具",
   "home.select_tools": "选择工具",
   "home.tools": "工具：{{num}}",
   "home.tools": "工具：{{num}}",
@@ -97,8 +98,36 @@
   "setting.copyright.tips.square": "建议比例 1:1",
   "setting.copyright.tips.square": "建议比例 1:1",
   "setting.copyright.title": "版权信息",
   "setting.copyright.title": "版权信息",
   "setting.copyright.upload_fail": "文件上传失败",
   "setting.copyright.upload_fail": "文件上传失败",
-  "setting.data_dashboard.title": "数据看板",
+  "setting.data_dashboard.title": "首页数据",
   "setting.fastgpt_chat_diagram": "/imgs/chat/fastgpt_chat_diagram.png",
   "setting.fastgpt_chat_diagram": "/imgs/chat/fastgpt_chat_diagram.png",
+  "setting.favourite.add_new_app": "添加应用",
+  "setting.favourite.all_apps": "所有应用",
+  "setting.favourite.cancel_button": "取消",
+  "setting.favourite.categories_modal.delete_cancel_button": "取消",
+  "setting.favourite.categories_modal.delete_confirm": "确认删除 {{name}} ？该分类下的应用将被移动至默认",
+  "setting.favourite.categories_modal.delete_confirm_button": "删除",
+  "setting.favourite.categories_modal.delete_confirm_title": "确认删除",
+  "setting.favourite.categories_modal.title": "共 {{num}} 个分类",
+  "setting.favourite.category_all": "全部分类",
+  "setting.favourite.category_tab.all": "全部",
+  "setting.favourite.category.no_data": "暂无可用精选应用",
+  "setting.favourite.tag.no_data": "暂无分类",
+  "setting.favourite.category_placeholder": "选择分类",
+  "setting.favourite.confirm_button": "确定",
+  "setting.favourite.delete_app_cancel_button": "取消",
+  "setting.favourite.delete_app_confirm": "确定要移除该精选应用吗？",
+  "setting.favourite.delete_app_confirm_button": "确定",
+  "setting.favourite.delete_app_title": "删除应用",
+  "setting.favourite.manage_categories_button": "分类管理",
+  "setting.favourite.save_category_for_app_button": "保存",
+  "setting.favourite.search_placeholder": "搜索应用",
+  "setting.favourite.selected_list": "已选: {{num}}",
+  "setting.favourite.table_column_action": "操作",
+  "setting.favourite.table_column_category": "分类",
+  "setting.favourite.table_column_intro": "介绍",
+  "setting.favourite.table_column_name": "名称",
+  "setting.favourite.title": "精选应用",
+  "setting.favourite.goto_add": "去配置",
   "setting.home.available_tools": "可用工具",
   "setting.home.available_tools": "可用工具",
   "setting.home.available_tools.add": "添加",
   "setting.home.available_tools.add": "添加",
   "setting.home.commercial_version": "商业版",
   "setting.home.commercial_version": "商业版",
@@ -108,18 +137,23 @@
   "setting.home.dialogue_tips_placeholder": "请输入对话框提示文字",
   "setting.home.dialogue_tips_placeholder": "请输入对话框提示文字",
   "setting.home.home_tab_title": "首页标题",
   "setting.home.home_tab_title": "首页标题",
   "setting.home.home_tab_title_placeholder": "请输入首页标题",
   "setting.home.home_tab_title_placeholder": "请输入首页标题",
+  "setting.home.quick_apps": "快捷应用",
+  "setting.home.quick_apps.add": "配置快捷应用",
+  "setting.home.quick_apps.placeholder": "请选择应用",
   "setting.home.slogan": "Slogan",
   "setting.home.slogan": "Slogan",
   "setting.home.slogan.default": "你好👋，我是 FastGPT ! 请问有什么可以帮你？",
   "setting.home.slogan.default": "你好👋，我是 FastGPT ! 请问有什么可以帮你？",
   "setting.home.slogan_placeholder": "请输入 Slogan",
   "setting.home.slogan_placeholder": "请输入 Slogan",
   "setting.home.title": "首页配置",
   "setting.home.title": "首页配置",
+  "setting.home.cancel_button": "取消",
+  "setting.home.confirm_button": "确定",
+  "setting.home.no_selected_app": "未选择应用",
   "setting.incorrect_plan": "当前套餐不支持该功能，请升级订阅套餐",
   "setting.incorrect_plan": "当前套餐不支持该功能，请升级订阅套餐",
   "setting.incorrect_version": "当前版本不支持该功能",
   "setting.incorrect_version": "当前版本不支持该功能",
   "setting.log_details.title": "首页日志",
   "setting.log_details.title": "首页日志",
-  "setting.logs.title": "首页日志",
   "setting.save": "保存",
   "setting.save": "保存",
   "setting.save_success": "保存成功",
   "setting.save_success": "保存成功",
   "setting.share": "分享",
   "setting.share": "分享",
-  "home.chat_id": "会话ID",
+  "sidebar.favourite_apps": "精选应用",
   "sidebar.home": "首页",
   "sidebar.home": "首页",
   "sidebar.team_apps": "团队应用",
   "sidebar.team_apps": "团队应用",
   "source_cronJob": "定时执行",
   "source_cronJob": "定时执行",

packages/web/i18n/zh-CN/common.json

@@ -893,23 +893,7 @@
   "model.type.reRank": "重排模型",
   "model.type.reRank": "重排模型",
   "model.type.stt": "语音识别",
   "model.type.stt": "语音识别",
   "model.type.tts": "语音合成",
   "model.type.tts": "语音合成",
-  "model_alicloud": "阿里云",
-  "model_baai": "智源",
-  "model_baichuan": "百川智能",
-  "model_chatglm": "ChatGLM",
-  "model_doubao": "豆包",
-  "model_ernie": "文心一言",
-  "model_hunyuan": "腾讯混元",
-  "model_intern": "书生",
-  "model_moka": "Moka-AI",
-  "model_moonshot": "月之暗面",
-  "model_other": "其他",
-  "model_ppio": "PPIO 派欧云",
-  "model_qwen": "阿里千问",
-  "model_siliconflow": "硅基流动",
-  "model_sparkdesk": "讯飞星火",
-  "model_stepfun": "阶跃星辰",
-  "model_yi": "零一万物",
+
   "month": "月",
   "month": "月",
   "move.confirm": "确认移动",
   "move.confirm": "确认移动",
   "move_success": "移动成功",
   "move_success": "移动成功",

packages/web/i18n/zh-Hant/chat.json

@@ -97,16 +97,49 @@
   "setting.copyright.tips.square": "建議比例 1:1",
   "setting.copyright.tips.square": "建議比例 1:1",
   "setting.copyright.title": "版權信息",
   "setting.copyright.title": "版權信息",
   "setting.copyright.upload_fail": "文件上傳失敗",
   "setting.copyright.upload_fail": "文件上傳失敗",
-  "setting.data_dashboard.title": "數據看板",
+  "setting.data_dashboard.title": "首頁數據",
   "setting.fastgpt_chat_diagram": "/imgs/chat/fastgpt_chat_diagram_zh-Hant.png",
   "setting.fastgpt_chat_diagram": "/imgs/chat/fastgpt_chat_diagram_zh-Hant.png",
+  "setting.favourite.add_new_app": "添加應用",
+  "setting.favourite.cancel_button": "取消",
+  "setting.favourite.categories_modal.delete_cancel_button": "取消",
+  "setting.favourite.categories_modal.delete_confirm": "確認刪除 {{name}} ？\n該分類下的應用將被移動至默認",
+  "setting.favourite.categories_modal.delete_confirm_button": "刪除",
+  "setting.favourite.categories_modal.delete_confirm_title": "確認刪除",
+  "setting.favourite.categories_modal.title": "共 {{num}} 個分類",
+  "setting.favourite.category.no_data": "暫無可用精選應用",
+  "setting.favourite.category_all": "全部分類",
+  "setting.favourite.category_placeholder": "選擇分類",
+  "setting.favourite.category_tab.all": "全部",
+  "setting.favourite.confirm_button": "確定",
+  "setting.favourite.delete_app_cancel_button": "取消",
+  "setting.favourite.delete_app_confirm": "確定要移除該精選應用嗎？",
+  "setting.favourite.delete_app_confirm_button": "確定",
+  "setting.favourite.delete_app_title": "刪除應用",
+  "setting.favourite.manage_categories_button": "分類管理",
+  "setting.favourite.save_category_for_app_button": "保存",
+  "setting.favourite.search_placeholder": "搜索應用",
+  "setting.favourite.selected_list": "已選: {{num}}",
+  "setting.favourite.table_column_action": "操作",
+  "setting.favourite.table_column_category": "分類",
+  "setting.favourite.table_column_intro": "介紹",
+  "setting.favourite.table_column_name": "名稱",
+  "setting.favourite.tag.no_data": "暫無分類",
+  "setting.favourite.title": "精選應用",
+  "setting.home.available_tools": "可用工具",
   "setting.home.available_tools.add": "添加",
   "setting.home.available_tools.add": "添加",
+  "setting.home.cancel_button": "取消",
   "setting.home.commercial_version": "商業版",
   "setting.home.commercial_version": "商業版",
+  "setting.home.confirm_button": "確定",
   "setting.home.diagram": "示意圖",
   "setting.home.diagram": "示意圖",
   "setting.home.dialogue_tips": "對話框提示文字",
   "setting.home.dialogue_tips": "對話框提示文字",
   "setting.home.dialogue_tips.default": "你可以問我任何問題",
   "setting.home.dialogue_tips.default": "你可以問我任何問題",
   "setting.home.dialogue_tips_placeholder": "請輸入對話框提示文字",
   "setting.home.dialogue_tips_placeholder": "請輸入對話框提示文字",
   "setting.home.home_tab_title": "首頁標題",
   "setting.home.home_tab_title": "首頁標題",
   "setting.home.home_tab_title_placeholder": "請輸入首頁標題",
   "setting.home.home_tab_title_placeholder": "請輸入首頁標題",
+  "setting.home.no_selected_app": "未選擇應用",
+  "setting.home.quick_apps": "快捷應用",
+  "setting.home.quick_apps.add": "配置快捷應用",
+  "setting.home.quick_apps.placeholder": "請選擇應用",
   "setting.home.slogan": "Slogan",
   "setting.home.slogan": "Slogan",
   "setting.home.slogan.default": "你好👋，我是 FastGPT ! 請問有什麼可以幫你？",
   "setting.home.slogan.default": "你好👋，我是 FastGPT ! 請問有什麼可以幫你？",
   "setting.home.slogan_placeholder": "請輸入 Slogan",
   "setting.home.slogan_placeholder": "請輸入 Slogan",
@@ -117,6 +150,7 @@
   "setting.logs.title": "首頁日誌",
   "setting.logs.title": "首頁日誌",
   "setting.save": "保存",
   "setting.save": "保存",
   "setting.save_success": "保存成功",
   "setting.save_success": "保存成功",
+  "sidebar.favourite_apps": "精選應用",
   "sidebar.home": "首頁",
   "sidebar.home": "首頁",
   "sidebar.team_apps": "團隊應用",
   "sidebar.team_apps": "團隊應用",
   "source_cronJob": "定時執行",
   "source_cronJob": "定時執行",

packages/web/i18n/zh-Hant/common.json

@@ -892,23 +892,7 @@
   "model.type.reRank": "重排模型",
   "model.type.reRank": "重排模型",
   "model.type.stt": "語音辨識",
   "model.type.stt": "語音辨識",
   "model.type.tts": "語音合成",
   "model.type.tts": "語音合成",
-  "model_alicloud": "阿里雲",
-  "model_baai": "智源",
-  "model_baichuan": "百川智能",
-  "model_chatglm": "ChatGLM",
-  "model_doubao": "豆包",
-  "model_ernie": "文心一言",
-  "model_hunyuan": "騰訊混元",
-  "model_intern": "書生",
-  "model_moka": "Moka-AI",
-  "model_moonshot": "月之暗面",
-  "model_other": "其他",
-  "model_ppio": "PPIO 派歐雲",
-  "model_qwen": "阿里千問",
-  "model_siliconflow": "矽基流動",
-  "model_sparkdesk": "訊飛星火",
-  "model_stepfun": "階躍星辰",
-  "model_yi": "零一萬物",
+
   "month": "月",
   "month": "月",
   "move.confirm": "確認移動",
   "move.confirm": "確認移動",
   "move_success": "移動成功",
   "move_success": "移動成功",

packages/web/package.json

@@ -18,7 +18,7 @@
     "@lexical/utils": "0.12.6",
     "@lexical/utils": "0.12.6",
     "@monaco-editor/react": "^4.6.0",
     "@monaco-editor/react": "^4.6.0",
     "@tanstack/react-query": "^4.24.10",
     "@tanstack/react-query": "^4.24.10",
-    "ahooks": "^3.7.11",
+    "ahooks": "^3.9.4",
     "date-fns": "2.30.0",
     "date-fns": "2.30.0",
     "dayjs": "^1.11.7",
     "dayjs": "^1.11.7",
     "recharts": "^2.15.0",
     "recharts": "^2.15.0",