V4.8.20 feature (#3686)

* Aiproxy (#3649) * model config * feat: model config ui * perf: rename variable * feat: custom request url * perf: model buffer * perf: init model * feat: json model config * auto login * fix: ts * update packages * package * fix: dockerfile * feat: usage filter & export & dashbord (#3538) * feat: usage filter & export & dashbord * adjust ui * fix tmb scroll * fix code & selecte all * merge * perf: usages list；perf: move components (#3654) * perf: usages list * team sub plan load * perf: usage dashboard code * perf: dashboard ui * perf: move components * add default model config (#3653) * 4.8.20 test (#3656) * provider * perf: model config * model perf (#3657) * fix: model * dataset quote * perf: model config * model tag * doubao model config * perf: config model * feat: model test * fix: POST 500 error on dingtalk bot (#3655) * feat: default model (#3662) * move model config * feat: default model * fix: false triggerd org selection (#3661) * export usage csv i18n (#3660) * export usage csv i18n * fix build * feat: markdown extension (#3663) * feat: markdown extension * media cros * rerank test * default price * perf: default model * fix: cannot custom provider * fix: default model select * update bg * perf: default model selector * fix: usage export * i18n * fix: rerank * update init extension * perf: ip limit check * doubao model order * web default modle * perf: tts selector * perf: tts error * qrcode package * reload buffer (#3665) * reload buffer * reload buffer * tts selector * fix: err tip (#3666) * fix: err tip * perf: training queue * doc * fix interactive edge (#3659) * fix interactive edge * fix * comment * add gemini model * fix: chat model select * perf: supplement assistant empty response (#3669) * perf: supplement assistant empty response * check array * perf: max_token count;feat: support resoner output;fix: member scroll (#3681) * perf: supplement assistant empty response * check array * perf: max_token count * feat: support resoner output * member scroll * update provider order * i18n * fix: stream response (#3682) * perf: supplement assistant empty response * check array * fix: stream response * fix: model config cannot set to null * fix: reasoning response (#3684) * perf: supplement assistant empty response * check array * fix: reasoning response * fix: reasoning response * doc (#3685) * perf: supplement assistant empty response * check array * doc * lock * animation * update doc * update compose * doc * doc --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>
2025-07-25 06:14:06 +00:00 · 2025-02-05 00:10:47 +08:00
parent c393002f1d
commit db2c0a0bdb
496 changed files with 9031 additions and 4726 deletions
--- a/packages/global/core/ai/constants.ts
+++ b/packages/global/core/ai/constants.ts
@@ -15,15 +15,13 @@ export enum LLMModelTypeEnum {
  all = 'all',
  classify = 'classify',
  extractFields = 'extractFields',
-  toolCall = 'toolCall',
-  queryExtension = 'queryExtension'
+  toolCall = 'toolCall'
 }
 export const llmModelTypeFilterMap = {
  [LLMModelTypeEnum.all]: 'model',
  [LLMModelTypeEnum.classify]: 'usedInClassify',
  [LLMModelTypeEnum.extractFields]: 'usedInExtractFields',
-  [LLMModelTypeEnum.toolCall]: 'usedInToolCall',
-  [LLMModelTypeEnum.queryExtension]: 'usedInQueryExtension'
+  [LLMModelTypeEnum.toolCall]: 'usedInToolCall'
 };

 export enum EmbeddingTypeEnm {
--- a/packages/global/core/ai/model.d.ts
+++ b/packages/global/core/ai/model.d.ts
@@ -1,3 +1,4 @@
+import { ModelTypeEnum } from './model';
 import type { ModelProviderIdType } from './provider';

 type PriceType = {
@@ -7,68 +8,74 @@ type PriceType = {
  inputPrice?: number; // 1k tokens=n points
  outputPrice?: number; // 1k tokens=n points
 };
-export type LLMModelItemType = PriceType & {
+type BaseModelItemType = {
  provider: ModelProviderIdType;
  model: string;
  name: string;
  avatar?: string; // model icon, from provider
-  maxContext: number;
-  maxResponse: number;
-  quoteMaxToken: number;
-  maxTemperature: number;

-  censor?: boolean;
-  vision?: boolean;
+  isActive?: boolean;
+  isCustom?: boolean;
+  isDefault?: boolean;

-  // diff function model
-  datasetProcess?: boolean; // dataset
-  usedInClassify?: boolean; // classify
-  usedInExtractFields?: boolean; // extract fields
-  usedInToolCall?: boolean; // tool call
-  usedInQueryExtension?: boolean; // query extension
-
-  functionCall: boolean;
-  toolChoice: boolean;
-
-  customCQPrompt: string;
-  customExtractPrompt: string;
-
-  defaultSystemChatPrompt?: string;
-  defaultConfig?: Record<string, any>;
-  fieldMap?: Record<string, string>;
+  // If has requestUrl, it will request the model directly
+  requestUrl?: string;
+  requestAuth?: string;
 };

-export type VectorModelItemType = PriceType & {
-  provider: ModelProviderIdType;
-  model: string; // model name
-  name: string; // show name
-  avatar?: string;
-  defaultToken: number; // split text default token
-  maxToken: number; // model max token
-  weight: number; // training weight
-  hidden?: boolean; // Disallow creation
-  defaultConfig?: Record<string, any>; // post request config
-  dbConfig?: Record<string, any>; // Custom parameters for storage
-  queryConfig?: Record<string, any>; // Custom parameters for query
-};
+export type LLMModelItemType = PriceType &
+  BaseModelItemType & {
+    type: ModelTypeEnum.llm;
+    maxContext: number;
+    maxResponse: number;
+    quoteMaxToken: number;
+    maxTemperature?: number;

-export type ReRankModelItemType = PriceType & {
-  provider: ModelProviderIdType;
-  model: string;
-  name: string;
-  requestUrl: string;
-  requestAuth: string;
-};
+    censor?: boolean;
+    vision?: boolean;
+    reasoning?: boolean;

-export type AudioSpeechModelType = PriceType & {
-  provider: ModelProviderIdType;
-  model: string;
-  name: string;
-  voices: { label: string; value: string; bufferId: string }[];
-};
+    // diff function model
+    datasetProcess?: boolean; // dataset
+    usedInClassify?: boolean; // classify
+    usedInExtractFields?: boolean; // extract fields
+    usedInToolCall?: boolean; // tool call

-export type STTModelType = PriceType & {
-  provider: ModelProviderIdType;
-  model: string;
-  name: string;
-};
+    functionCall: boolean;
+    toolChoice: boolean;
+
+    customCQPrompt: string;
+    customExtractPrompt: string;
+
+    defaultSystemChatPrompt?: string;
+    defaultConfig?: Record<string, any>;
+    fieldMap?: Record<string, string>;
+  };
+
+export type EmbeddingModelItemType = PriceType &
+  BaseModelItemType & {
+    type: ModelTypeEnum.embedding;
+    defaultToken: number; // split text default token
+    maxToken: number; // model max token
+    weight: number; // training weight
+    hidden?: boolean; // Disallow creation
+    defaultConfig?: Record<string, any>; // post request config
+    dbConfig?: Record<string, any>; // Custom parameters for storage
+    queryConfig?: Record<string, any>; // Custom parameters for query
+  };
+
+export type ReRankModelItemType = PriceType &
+  BaseModelItemType & {
+    type: ModelTypeEnum.rerank;
+  };
+
+export type TTSModelType = PriceType &
+  BaseModelItemType & {
+    type: ModelTypeEnum.tts;
+    voices: { label: string; value: string }[];
+  };
+
+export type STTModelType = PriceType &
+  BaseModelItemType & {
+    type: ModelTypeEnum.stt;
+  };
--- a/packages/global/core/ai/model.ts
+++ b/packages/global/core/ai/model.ts
@@ -1,9 +1,18 @@
 import { i18nT } from '../../../web/i18n/utils';
-import type { LLMModelItemType, STTModelType, VectorModelItemType } from './model.d';
+import type { LLMModelItemType, STTModelType, EmbeddingModelItemType } from './model.d';
 import { getModelProvider, ModelProviderIdType } from './provider';

+export enum ModelTypeEnum {
+  llm = 'llm',
+  embedding = 'embedding',
+  tts = 'tts',
+  stt = 'stt',
+  rerank = 'rerank'
+}
+
 export const defaultQAModels: LLMModelItemType[] = [
  {
+    type: ModelTypeEnum.llm,
    provider: 'OpenAI',
    model: 'gpt-4o-mini',
    name: 'gpt-4o-mini',
@@ -24,8 +33,9 @@ export const defaultQAModels: LLMModelItemType[] = [
  }
 ];

-export const defaultVectorModels: VectorModelItemType[] = [
+export const defaultVectorModels: EmbeddingModelItemType[] = [
  {
+    type: ModelTypeEnum.embedding,
    provider: 'OpenAI',
    model: 'text-embedding-3-small',
    name: 'Embedding-2',
@@ -36,12 +46,15 @@ export const defaultVectorModels: VectorModelItemType[] = [
  }
 ];

-export const defaultWhisperModel: STTModelType = {
-  provider: 'OpenAI',
-  model: 'whisper-1',
-  name: 'whisper-1',
-  charsPointsPrice: 0
-};
+export const defaultSTTModels: STTModelType[] = [
+  {
+    type: ModelTypeEnum.stt,
+    provider: 'OpenAI',
+    model: 'whisper-1',
+    name: 'whisper-1',
+    charsPointsPrice: 0
+  }
+];

 export const getModelFromList = (
  modelList: { provider: ModelProviderIdType; name: string; model: string }[],
@@ -55,15 +68,10 @@ export const getModelFromList = (
  };
 };

-export enum ModelTypeEnum {
-  chat = 'chat',
-  embedding = 'embedding',
-  tts = 'tts',
-  stt = 'stt'
-}
 export const modelTypeList = [
-  { label: i18nT('common:model.type.chat'), value: ModelTypeEnum.chat },
+  { label: i18nT('common:model.type.chat'), value: ModelTypeEnum.llm },
  { label: i18nT('common:model.type.embedding'), value: ModelTypeEnum.embedding },
  { label: i18nT('common:model.type.tts'), value: ModelTypeEnum.tts },
-  { label: i18nT('common:model.type.stt'), value: ModelTypeEnum.stt }
+  { label: i18nT('common:model.type.stt'), value: ModelTypeEnum.stt },
+  { label: i18nT('common:model.type.reRank'), value: ModelTypeEnum.rerank }
 ];
--- a/packages/global/core/ai/provider.ts
+++ b/packages/global/core/ai/provider.ts
@@ -7,11 +7,12 @@ export type ModelProviderIdType =
  | 'Meta'
  | 'MistralAI'
  | 'Groq'
+  | 'Grok'
  | 'AliCloud'
  | 'Qwen'
  | 'Doubao'
-  | 'ChatGLM'
  | 'DeepSeek'
+  | 'ChatGLM'
  | 'Ernie'
  | 'Moonshot'
  | 'MiniMax'
@@ -20,6 +21,7 @@ export type ModelProviderIdType =
  | 'Baichuan'
  | 'StepFun'
  | 'Yi'
+  | 'Siliconflow'
  | 'Ollama'
  | 'BAAI'
  | 'FishAudio'
@@ -29,7 +31,7 @@ export type ModelProviderIdType =

 export type ModelProviderType = {
  id: ModelProviderIdType;
-  name: string;
+  name: any;
  avatar: string;
 };

@@ -59,6 +61,11 @@ export const ModelProviderList: ModelProviderType[] = [
    name: 'MistralAI',
    avatar: 'model/mistral'
  },
+  {
+    id: 'Grok',
+    name: 'Grok',
+    avatar: 'model/grok'
+  },
  {
    id: 'Groq',
    name: 'Groq',
@@ -155,6 +162,11 @@ export const ModelProviderList: ModelProviderType[] = [
    name: i18nT('common:model_moka'),
    avatar: 'model/moka'
  },
+  {
+    id: 'Siliconflow',
+    name: i18nT('common:model_siliconflow'),
+    avatar: 'model/siliconflow'
+  },
  {
    id: 'Other',
    name: i18nT('common:model_other'),
@@ -165,6 +177,7 @@ export const ModelProviderMap = Object.fromEntries(
  ModelProviderList.map((item, index) => [item.id, { ...item, order: index }])
 );

-export const getModelProvider = (provider: ModelProviderIdType) => {
+export const getModelProvider = (provider?: ModelProviderIdType) => {
+  if (!provider) return ModelProviderMap.Other;
  return ModelProviderMap[provider] ?? ModelProviderMap.Other;
 };
--- a/packages/global/core/app/type.d.ts
+++ b/packages/global/core/app/type.d.ts
@@ -80,6 +80,7 @@ export type AppSimpleEditFormType = {
    maxToken?: number;
    isResponseAnswerText: boolean;
    maxHistories: number;
+    [NodeInputKeyEnum.aiChatReasoning]?: boolean;
  };
  dataset: {
    datasets: SelectedDatasetType;
@@ -117,6 +118,7 @@ export type SettingAIDataType = {
  isResponseAnswerText?: boolean;
  maxHistories?: number;
  [NodeInputKeyEnum.aiChatVision]?: boolean; // Is open vision mode
+  [NodeInputKeyEnum.aiChatReasoning]?: boolean; // Is open reasoning mode
 };

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

 export enum ChatSourceEnum {
@@ -75,5 +76,3 @@ export enum ChatStatusEnum {
  running = 'running',
  finish = 'finish'
 }
-
-export const MARKDOWN_QUOTE_SIGN = 'QUOTE SIGN';
--- a/packages/global/core/chat/type.d.ts
+++ b/packages/global/core/chat/type.d.ts
@@ -70,14 +70,23 @@ export type SystemChatItemType = {
  obj: ChatRoleEnum.System;
  value: SystemChatItemValueItemType[];
 };
+
 export type AIChatItemValueItemType = {
-  type: ChatItemValueTypeEnum.text | ChatItemValueTypeEnum.tool | ChatItemValueTypeEnum.interactive;
+  type:
+    | ChatItemValueTypeEnum.text
+    | ChatItemValueTypeEnum.reasoning
+    | ChatItemValueTypeEnum.tool
+    | ChatItemValueTypeEnum.interactive;
  text?: {
    content: string;
  };
+  reasoning?: {
+    content: string;
+  };
  tools?: ToolModuleResponseItemType[];
  interactive?: WorkflowInteractiveResponseType;
 };
+
 export type AIChatItemType = {
  obj: ChatRoleEnum.AI;
  value: AIChatItemValueItemType[];
--- a/packages/global/core/dataset/type.d.ts
+++ b/packages/global/core/dataset/type.d.ts
@@ -1,4 +1,4 @@
-import type { LLMModelItemType, VectorModelItemType } from '../../core/ai/model.d';
+import type { LLMModelItemType, EmbeddingModelItemType } from '../../core/ai/model.d';
 import { PermissionTypeEnum } from '../../support/permission/constant';
 import { PushDatasetDataChunkProps } from './api';
 import {
@@ -152,7 +152,7 @@ export type DatasetSimpleItemType = {
  _id: string;
  avatar: string;
  name: string;
-  vectorModel: VectorModelItemType;
+  vectorModel: EmbeddingModelItemType;
 };
 export type DatasetListItemType = {
  _id: string;
@@ -163,14 +163,14 @@ export type DatasetListItemType = {
  intro: string;
  type: `${DatasetTypeEnum}`;
  permission: DatasetPermission;
-  vectorModel: VectorModelItemType;
+  vectorModel: EmbeddingModelItemType;
  inheritPermission: boolean;
  private?: boolean;
  sourceMember?: SourceMemberType;
 };

 export type DatasetItemType = Omit<DatasetSchemaType, 'vectorModel' | 'agentModel'> & {
-  vectorModel: VectorModelItemType;
+  vectorModel: EmbeddingModelItemType;
  agentModel: LLMModelItemType;
  permission: DatasetPermission;
 };
--- a/packages/global/core/workflow/api.d.ts
+++ b/packages/global/core/workflow/api.d.ts
@@ -1,4 +1,4 @@
-import { VectorModelItemType } from '../ai/model.d';
+import { EmbeddingModelItemType } from '../ai/model.d';
 import { NodeInputKeyEnum } from './constants';

 export type SelectedDatasetType = { datasetId: string }[];
--- a/packages/global/core/workflow/constants.ts
+++ b/packages/global/core/workflow/constants.ts
@@ -141,6 +141,7 @@ export enum NodeInputKeyEnum {
  aiChatDatasetQuote = 'quoteQA',
  aiChatVision = 'aiChatVision',
  stringQuoteText = 'stringQuoteText',
+  aiChatReasoning = 'aiChatReasoning',

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

  [NodeInputKeyEnum.aiChatQuoteRole]?: AiChatQuoteRoleType;
  [NodeInputKeyEnum.aiChatQuoteTemplate]?: string;
--- a/packages/global/core/workflow/runtime/utils.ts
+++ b/packages/global/core/workflow/runtime/utils.ts
@@ -176,6 +176,7 @@ export const checkNodeRunStatus = ({
      }
      visited.add(edge.source);

+      // 递归检测后面的 edge，如果有其中一个成环，则返回 true
      const nextEdges = allEdges.filter((item) => item.target === edge.source);
      return nextEdges.some((nextEdge) => checkIsCircular(nextEdge, new Set(visited)));
    };
@@ -207,7 +208,23 @@ export const checkNodeRunStatus = ({
    currentNode: node
  });

-  // check skip（其中一组边，全 skip）
+  // check active（其中一组边，至少有一个 active，且没有 waiting 即可运行）
+  if (
+    commonEdges.length > 0 &&
+    commonEdges.some((item) => item.status === 'active') &&
+    commonEdges.every((item) => item.status !== 'waiting')
+  ) {
+    return 'run';
+  }
+  if (
+    recursiveEdges.length > 0 &&
+    recursiveEdges.some((item) => item.status === 'active') &&
+    recursiveEdges.every((item) => item.status !== 'waiting')
+  ) {
+    return 'run';
+  }
+
+  // check skip（其中一组边，全是 skiped 则跳过运行）
  if (commonEdges.length > 0 && commonEdges.every((item) => item.status === 'skipped')) {
    return 'skip';
  }
@@ -215,14 +232,6 @@ export const checkNodeRunStatus = ({
    return 'skip';
  }

-  // check active（有一类边，不全是 wait 即可运行）
-  if (commonEdges.length > 0 && commonEdges.every((item) => item.status !== 'waiting')) {
-    return 'run';
-  }
-  if (recursiveEdges.length > 0 && recursiveEdges.every((item) => item.status !== 'waiting')) {
-    return 'run';
-  }
-
  return 'wait';
 };

@@ -355,12 +364,14 @@ export function replaceEditorVariable({

 export const textAdaptGptResponse = ({
  text,
+  reasoning_content,
  model = '',
  finish_reason = null,
  extraData = {}
 }: {
  model?: string;
-  text: string | null;
+  text?: string | null;
+  reasoning_content?: string | null;
  finish_reason?: null | 'stop';
  extraData?: Object;
 }) => {
@@ -372,10 +383,11 @@ export const textAdaptGptResponse = ({
    model,
    choices: [
      {
-        delta:
-          text === null
-            ? {}
-            : { role: ChatCompletionRequestMessageRoleEnum.Assistant, content: text },
+        delta: {
+          role: ChatCompletionRequestMessageRoleEnum.Assistant,
+          content: text,
+          ...(reasoning_content && { reasoning_content })
+        },
        index: 0,
        finish_reason
      }
--- a/packages/global/core/workflow/template/system/aiChat/index.ts
+++ b/packages/global/core/workflow/template/system/aiChat/index.ts
@@ -63,14 +63,14 @@ export const AiChatModule: FlowNodeTemplateType = {
      key: NodeInputKeyEnum.aiChatTemperature,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: 0,
+      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
      key: NodeInputKeyEnum.aiChatMaxToken,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: 2000,
+      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },

@@ -91,6 +91,13 @@ export const AiChatModule: FlowNodeTemplateType = {
      valueType: WorkflowIOValueTypeEnum.boolean,
      value: true
    },
+    {
+      key: NodeInputKeyEnum.aiChatReasoning,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.boolean,
+      value: true
+    },
    // settings modal ---
    {
      ...Input_Template_System_Prompt,
--- a/packages/global/core/workflow/template/system/queryExtension.ts
+++ b/packages/global/core/workflow/template/system/queryExtension.ts
@@ -31,10 +31,7 @@ export const AiQueryExtension: FlowNodeTemplateType = {
  showStatus: true,
  version: '481',
  inputs: [
-    {
-      ...Input_Template_SelectAIModel,
-      llmModelType: LLMModelTypeEnum.queryExtension
-    },
+    Input_Template_SelectAIModel,
    {
      key: NodeInputKeyEnum.aiSystemPrompt,
      renderTypeList: [FlowNodeInputTypeEnum.textarea, FlowNodeInputTypeEnum.reference],
--- a/packages/global/core/workflow/template/system/tools.ts
+++ b/packages/global/core/workflow/template/system/tools.ts
@@ -43,14 +43,14 @@ export const ToolModule: FlowNodeTemplateType = {
      key: NodeInputKeyEnum.aiChatTemperature,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: 0,
+      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
      key: NodeInputKeyEnum.aiChatMaxToken,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: 2000,
+      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {