V4.8.15 feature (#3331)

* feat: add customize toolkit (#3205) * chaoyang * fix-auth * add toolkit * add order * plugin usage * fix * delete console: * Fix: Fix fullscreen preview top positioning and improve Markdown rendering logic (#3247) * 完成任务：修复全屏预览顶部固定问题，优化 Markdown 渲染逻辑 * 有问题修改 * 问题再修改 * 修正问题 * fix: plugin standalone display issue (#3254) * 4.8.15 test (#3246) * o1 config * perf: system plugin code * 调整系统插件代码。增加html 渲染安全配置。 (#3258) * perf: base64 picker * perf: list app or dataset * perf: plugin config code * 小窗适配等问题 (#3257) * 小窗适配等问题 * git问题 * 小窗剩余问题 * feat: system plugin auth and lock version (#3265) * feat: system plugin auth and lock version * update comment * 4.8.15 test (#3267) * tmp log * perf: login direct * perf: iframe html code * remove log * fix: plugin standalone display (#3277) * refactor: 页面拆分&i18n拆分 (#3281) * refactor: account组件拆成独立页面 * script: 新增i18n json文件创建脚本 * refactor: 页面i18n拆分 * i18n: add en&hant * 4.8.15 test (#3285) * tmp log * remove log * fix: watch avatar refresh * perf: i18n code * fix(plugin): use intro instead of userguide (#3290) * Universal SSO (#3292) * tmp log * remove log * feat: common oauth * readme * perf: sso provider * remove sso code * perf: refresh plugins * feat: add api dataset (#3272) * add api-dataset * fix api-dataset * fix api dataset * fix ts * perf: create collection code (#3301) * tmp log * remove log * perf: i18n change * update version doc * feat: question guide from chatId * perf: create collection code * fix: request api * fix: request api * fix: tts auth and response type (#3303) * perf: md splitter * fix: tts auth and response type * fix: api file dataset (#3307) * perf: api dataset init (#3310) * perf: collection schema * perf: api dataset init * refactor: 团队管理独立页面 (#3302) * ui: 团队管理独立页面 * 代码优化 * fix * perf: sync collection and ui check (#3314) * perf: sync collection * remove script * perf: update api server * perf: api dataset parent * perf: team ui * perf: team 18n * update team ui * perf: ui check * perf: i18n * fix: debug variables & cronjob & system plugin callback load (#3315) * fix: debug variables & cronjob & system plugin callback load * fix type * fix * fix * fix: plugin dataset quote;perf: system variables init (#3316) * fix: plugin dataset quote * perf: system variables init * perf: node templates ui;fix: dataset import ui (#3318) * fix: dataset import ui * perf: node templates ui * perf: ui refresh * feat:套餐改名和套餐跳转配置 (#3309) * fixing:except Sidebar * 去除了多余的代码 * 修正了套餐说明的代码 * 修正了误删除的show_git代码 * 修正了名字部分等代码 * 修正了问题,遗留了其他和ui讨论不一致的部分 * 4.8.15 test (#3319) * remove log * pref: bill ui * pref: bill ui * perf: log * html渲染文档 (#3270) * html渲染文档 * 文档有点小问题 * feat: doc (#3322) * 集合重训练 (#3282) * rebaser * 一点补充 * 小问题 * 其他问题修正，删除集合保留文件的参数还没找到... * reTraining * delete uesless * 删除了一行错误代码 * 集合重训练部分 * fixing * 删除console代码 * feat: navbar item config (#3326) * perf: custom navbar code;perf: retraining code;feat: api dataset and dataset api doc (#3329) * feat: api dataset and dataset api doc * perf: retraining code * perf: custom navbar code * fix: ts (#3330) * fix: ts * fix: ts * retraining ui * perf: api collection filter * perf: retrining button --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: Jiangween <145003935+Jiangween@users.noreply.github.com> Co-authored-by: papapatrick <109422393+Patrickill@users.noreply.github.com>
2025-07-24 13:53:50 +00:00 · 2024-12-06 10:56:53 +08:00
parent b188544386
commit 1aebe5f185
307 changed files with 7383 additions and 3981 deletions
--- a/packages/service/core/ai/functions/queryExtension.ts
+++ b/packages/service/core/ai/functions/queryExtension.ts
@@ -5,6 +5,7 @@ import { countGptMessagesTokens } from '../../../common/string/tiktoken/index';
 import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
 import { getLLMModel } from '../model';
 import { llmCompletionsBodyFormat } from '../utils';
+import { addLog } from '../../../common/system/log';

 /* 
    query extension - 问题扩展
@@ -183,7 +184,7 @@ A: ${chatBg}
      tokens: await countGptMessagesTokens(messages)
    };
  } catch (error) {
-    console.log(error);
+    addLog.error(`Query extension error`, error);
    return {
      rawQuery: query,
      extensionQueries: [],
--- a/packages/service/core/ai/rerank/index.ts
+++ b/packages/service/core/ai/rerank/index.ts
@@ -51,7 +51,6 @@ export function reRankRecall({
      }));
    })
    .catch((err) => {
-      console.log(err);
      addLog.error('rerank error', err);

      return [];
--- a/packages/service/core/app/controller.ts
+++ b/packages/service/core/app/controller.ts
@@ -5,39 +5,44 @@ import { getLLMModel } from '../ai/model';
 import { MongoApp } from './schema';

 export const beforeUpdateAppFormat = <T extends AppSchema['modules'] | undefined>({
-  nodes
+  nodes,
+  isPlugin
 }: {
  nodes: T;
+  isPlugin: boolean;
 }) => {
  if (nodes) {
-    let maxTokens = 3000;
+    // Check dataset maxTokens
+    if (isPlugin) {
+      let maxTokens = 16000;

-    nodes.forEach((item) => {
-      if (
-        item.flowNodeType === FlowNodeTypeEnum.chatNode ||
-        item.flowNodeType === FlowNodeTypeEnum.tools
-      ) {
-        const model =
-          item.inputs.find((item) => item.key === NodeInputKeyEnum.aiModel)?.value || '';
-        const chatModel = getLLMModel(model);
-        const quoteMaxToken = chatModel.quoteMaxToken || 3000;
+      nodes.forEach((item) => {
+        if (
+          item.flowNodeType === FlowNodeTypeEnum.chatNode ||
+          item.flowNodeType === FlowNodeTypeEnum.tools
+        ) {
+          const model =
+            item.inputs.find((item) => item.key === NodeInputKeyEnum.aiModel)?.value || '';
+          const chatModel = getLLMModel(model);
+          const quoteMaxToken = chatModel.quoteMaxToken || 16000;

-        maxTokens = Math.max(maxTokens, quoteMaxToken);
-      }
-    });
+          maxTokens = Math.max(maxTokens, quoteMaxToken);
+        }
+      });

-    nodes.forEach((item) => {
-      if (item.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
-        item.inputs.forEach((input) => {
-          if (input.key === NodeInputKeyEnum.datasetMaxTokens) {
-            const val = input.value as number;
-            if (val > maxTokens) {
-              input.value = maxTokens;
+      nodes.forEach((item) => {
+        if (item.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
+          item.inputs.forEach((input) => {
+            if (input.key === NodeInputKeyEnum.datasetMaxTokens) {
+              const val = input.value as number;
+              if (val > maxTokens) {
+                input.value = maxTokens;
+              }
            }
-          }
-        });
-      }
-    });
+          });
+        }
+      });
+    }
  }

  return {
--- a/packages/service/core/app/plugin/controller.ts
+++ b/packages/service/core/app/plugin/controller.ts
@@ -2,7 +2,6 @@ import { FlowNodeTemplateType } from '@fastgpt/global/core/workflow/type/node.d'
 import { FlowNodeTypeEnum, defaultNodeVersion } from '@fastgpt/global/core/workflow/node/constant';
 import { appData2FlowNodeIO, pluginData2FlowNodeIO } from '@fastgpt/global/core/workflow/utils';
 import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
-import type { PluginRuntimeType } from '@fastgpt/global/core/workflow/runtime/type';
 import { FlowNodeTemplateTypeEnum } from '@fastgpt/global/core/workflow/constants';
 import { getHandleConfig } from '@fastgpt/global/core/workflow/template/utils';
 import { getNanoid } from '@fastgpt/global/common/string/tools';
@@ -11,6 +10,9 @@ import { MongoApp } from '../schema';
 import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
 import { getSystemPluginTemplates } from '../../../../plugins/register';
 import { getAppLatestVersion, getAppVersionById } from '../version/controller';
+import { PluginRuntimeType } from '@fastgpt/global/core/plugin/type';
+import { MongoSystemPlugin } from './systemPluginSchema';
+import { PluginErrEnum } from '@fastgpt/global/common/error/code/plugin';

 /* 
  plugin id rule:
@@ -37,15 +39,45 @@ export async function splitCombinePluginId(id: string) {

 type ChildAppType = SystemPluginTemplateItemType & { teamId?: string };
 const getSystemPluginTemplateById = async (
-  pluginId: string
+  pluginId: string,
+  versionId?: string
 ): Promise<SystemPluginTemplateItemType> => {
  const item = getSystemPluginTemplates().find((plugin) => plugin.id === pluginId);
-  if (!item) return Promise.reject('plugin not found');
+  if (!item) return Promise.reject(PluginErrEnum.unAuth);

-  return cloneDeep(item);
+  const plugin = cloneDeep(item);
+
+  if (plugin.associatedPluginId) {
+    // The verification plugin is set as a system plugin
+    const systemPlugin = await MongoSystemPlugin.findOne(
+      { pluginId: plugin.id, 'customConfig.associatedPluginId': plugin.associatedPluginId },
+      'associatedPluginId'
+    ).lean();
+    if (!systemPlugin) return Promise.reject(PluginErrEnum.unAuth);
+
+    const app = await MongoApp.findById(plugin.associatedPluginId).lean();
+    if (!app) return Promise.reject(PluginErrEnum.unAuth);
+
+    const version = versionId
+      ? await getAppVersionById({
+          appId: plugin.associatedPluginId,
+          versionId,
+          app
+        })
+      : await getAppLatestVersion(plugin.associatedPluginId, app);
+    if (!version.versionId) return Promise.reject('App version not found');
+
+    plugin.workflow = {
+      nodes: version.nodes,
+      edges: version.edges,
+      chatConfig: version.chatConfig
+    };
+    plugin.version = versionId || String(version.versionId);
+  }
+  return plugin;
 };

-/* format plugin modules to plugin preview module */
+/* Format plugin to workflow preview node data */
 export async function getChildAppPreviewNode({
  id
 }: {
@@ -77,7 +109,9 @@ export async function getChildAppPreviewNode({
        templateType: FlowNodeTemplateTypeEnum.teamApp,
        version: version.versionId,
        originCost: 0,
-        currentCost: 0
+        currentCost: 0,
+        hasTokenFee: false,
+        pluginOrder: 0
      };
    } else {
      return getSystemPluginTemplateById(pluginId);
@@ -147,10 +181,12 @@ export async function getChildAppRuntimeById(
        // 用不到
        version: item?.pluginData?.nodeVersion || defaultNodeVersion,
        originCost: 0,
-        currentCost: 0
+        currentCost: 0,
+        hasTokenFee: false,
+        pluginOrder: 0
      };
    } else {
-      return getSystemPluginTemplateById(pluginId);
+      return getSystemPluginTemplateById(pluginId, versionId);
    }
  })();

@@ -162,6 +198,7 @@ export async function getChildAppRuntimeById(
    showStatus: app.showStatus,
    currentCost: app.currentCost,
    nodes: app.workflow.nodes,
-    edges: app.workflow.edges
+    edges: app.workflow.edges,
+    hasTokenFee: app.hasTokenFee
  };
 }
--- a/packages/service/core/app/plugin/pluginGroupSchema.ts
+++ b/packages/service/core/app/plugin/pluginGroupSchema.ts
@@ -0,0 +1,35 @@
+import { connectionMongo, getMongoModel } from '../../../common/mongo/index';
+import { PluginGroupSchemaType, TGroupType } from './type';
+const { Schema } = connectionMongo;
+
+export const collectionName = 'app_plugin_groups';
+
+const PluginGroupSchema = new Schema({
+  groupId: {
+    type: String,
+    required: true
+  },
+  groupAvatar: {
+    type: String,
+    default: ''
+  },
+  groupName: {
+    type: String,
+    required: true
+  },
+  groupTypes: {
+    type: Array<TGroupType>,
+    default: []
+  },
+  groupOrder: {
+    type: Number,
+    default: 0
+  }
+});
+
+PluginGroupSchema.index({ groupId: 1 }, { unique: true });
+
+export const MongoPluginGroups = getMongoModel<PluginGroupSchemaType>(
+  collectionName,
+  PluginGroupSchema
+);
--- a/packages/service/core/app/plugin/systemPluginSchema.ts
+++ b/packages/service/core/app/plugin/systemPluginSchema.ts
@@ -25,12 +25,20 @@ const SystemPluginSchema = new Schema({
    type: Number,
    default: 0
  },
+  hasTokenFee: {
+    type: Boolean,
+    default: false
+  },
+  pluginOrder: {
+    type: Number,
+    default: 0
+  },
  customConfig: Object
 });

 SystemPluginSchema.index({ pluginId: 1 });

-export const MongoSystemPluginSchema = getMongoModel<SystemPluginConfigSchemaType>(
+export const MongoSystemPlugin = getMongoModel<SystemPluginConfigSchemaType>(
  collectionName,
  SystemPluginSchema
 );
--- a/packages/service/core/app/plugin/type.d.ts
+++ b/packages/service/core/app/plugin/type.d.ts
@@ -1,3 +1,4 @@
+import { SystemPluginListItemType } from '@fastgpt/global/core/app/type';
 import { FlowNodeTemplateTypeEnum } from '@fastgpt/global/core/workflow/constants';
 import {
  SystemPluginTemplateItemType,
@@ -9,7 +10,9 @@ export type SystemPluginConfigSchemaType = {

  originCost: number; // n points/one time
  currentCost: number;
+  hasTokenFee: boolean;
  isActive: boolean;
+  pluginOrder: number;
  inputConfig: SystemPluginTemplateItemType['inputConfig'];

  customConfig?: {
@@ -19,6 +22,21 @@ export type SystemPluginConfigSchemaType = {
    version: string;
    weight?: number;
    workflow: WorkflowTemplateBasicType;
-    templateType: FlowNodeTemplateTypeEnum;
+    templateType: string;
+    associatedPluginId: string;
+    userGuide: string;
  };
 };
+
+export type TGroupType = {
+  typeName: string;
+  typeId: string;
+};
+
+export type PluginGroupSchemaType = {
+  groupId: string;
+  groupAvatar: string;
+  groupName: string;
+  groupTypes: TGroupType[];
+  groupOrder: number;
+};
--- a/packages/service/core/app/plugin/utils.ts
+++ b/packages/service/core/app/plugin/utils.ts
@@ -1,11 +1,11 @@
-import { PluginRuntimeType } from '@fastgpt/global/core/workflow/runtime/type';
 import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
-import { splitCombinePluginId } from './controller';
-import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
+import { PluginRuntimeType } from '@fastgpt/global/core/plugin/type';

 /* 
-  1. Commercial plugin: n points per times
-  2. Other plugin: sum of children points
+  Plugin points calculation:
+  1. Return 0 if error
+  2. Add configured points if commercial plugin
+  3. Add sum of child nodes points
 */
 export const computedPluginUsage = async ({
  plugin,
@@ -16,13 +16,13 @@ export const computedPluginUsage = async ({
  childrenUsage: ChatNodeUsageType[];
  error?: boolean;
 }) => {
-  const { source } = await splitCombinePluginId(plugin.id);
-
-  // Commercial plugin: n points per times
-  if (source === PluginSourceEnum.commercial) {
-    if (error) return 0;
-    return plugin.currentCost ?? 0;
+  if (error) {
+    return 0;
  }

-  return childrenUsage.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
+  const childrenIUsages = childrenUsage.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
+
+  const pluginCurrentCose = plugin.currentCost ?? 0;
+
+  return plugin.hasTokenFee ? pluginCurrentCose + childrenIUsages : pluginCurrentCose;
 };
--- a/packages/service/core/dataset/apiDataset/api.ts
+++ b/packages/service/core/dataset/apiDataset/api.ts
@@ -0,0 +1,143 @@
+import type {
+  APIFileContentResponse,
+  APIFileListResponse,
+  APIFileReadResponse,
+  APIFileServer
+} from '@fastgpt/global/core/dataset/apiDataset';
+import axios, { Method } from 'axios';
+import { addLog } from '../../../common/system/log';
+import { readFileRawTextByUrl } from '../read';
+import { ParentIdType } from '@fastgpt/global/common/parentFolder/type';
+
+type ResponseDataType = {
+  success: boolean;
+  message: string;
+  data: any;
+};
+
+export const useApiDatasetRequest = ({ apiServer }: { apiServer: APIFileServer }) => {
+  const instance = axios.create({
+    baseURL: apiServer.baseUrl,
+    timeout: 60000, // 超时时间
+    headers: {
+      'content-type': 'application/json',
+      Authorization: `Bearer ${apiServer.authorization}`
+    }
+  });
+
+  /**
+   * 响应数据检查
+   */
+  const checkRes = (data: ResponseDataType) => {
+    if (data === undefined) {
+      addLog.info('Api dataset data is empty');
+      return Promise.reject('服务器异常');
+    } else if (!data.success) {
+      return Promise.reject(data);
+    }
+    return data.data;
+  };
+  const responseError = (err: any) => {
+    console.log('error->', '请求错误', err);
+
+    if (!err) {
+      return Promise.reject({ message: '未知错误' });
+    }
+    if (typeof err === 'string') {
+      return Promise.reject({ message: err });
+    }
+    if (typeof err.message === 'string') {
+      return Promise.reject({ message: err.message });
+    }
+    if (typeof err.data === 'string') {
+      return Promise.reject({ message: err.data });
+    }
+    if (err?.response?.data) {
+      return Promise.reject(err?.response?.data);
+    }
+    return Promise.reject(err);
+  };
+
+  const request = <T>(url: string, data: any, method: Method): Promise<T> => {
+    /* 去空 */
+    for (const key in data) {
+      if (data[key] === undefined) {
+        delete data[key];
+      }
+    }
+
+    return instance
+      .request({
+        url,
+        method,
+        data: ['POST', 'PUT'].includes(method) ? data : undefined,
+        params: !['POST', 'PUT'].includes(method) ? data : undefined
+      })
+      .then((res) => checkRes(res.data))
+      .catch((err) => responseError(err));
+  };
+
+  const listFiles = async ({
+    searchKey,
+    parentId
+  }: {
+    searchKey?: string;
+    parentId?: ParentIdType;
+  }) => {
+    const files = await request<APIFileListResponse>(
+      `/v1/file/list`,
+      {
+        searchKey,
+        parentId
+      },
+      'POST'
+    );
+
+    if (!Array.isArray(files)) {
+      return Promise.reject('Invalid file list format');
+    }
+    if (files.some((file) => !file.id || !file.name || typeof file.type === 'undefined')) {
+      return Promise.reject('Invalid file data format');
+    }
+    return files;
+  };
+
+  const getFileContent = async ({ teamId, apiFileId }: { teamId: string; apiFileId: string }) => {
+    const data = await request<APIFileContentResponse>(
+      `/v1/file/content`,
+      { id: apiFileId },
+      'GET'
+    );
+    const content = data.content;
+    const previewUrl = data.previewUrl;
+
+    if (content) {
+      return content;
+    }
+    if (previewUrl) {
+      const rawText = await readFileRawTextByUrl({
+        teamId,
+        url: previewUrl,
+        relatedId: apiFileId
+      });
+      return rawText;
+    }
+    return Promise.reject('Invalid content type: content or previewUrl is required');
+  };
+
+  const getFilePreviewUrl = async ({ apiFileId }: { apiFileId: string }) => {
+    const { url } = await request<APIFileReadResponse>(`/v1/file/read`, { id: apiFileId }, 'GET');
+
+    if (!url || typeof url !== 'string') {
+      return Promise.reject('Invalid response url');
+    }
+
+    return url;
+  };
+
+  return {
+    getFileContent,
+    listFiles,
+    getFilePreviewUrl
+  };
+};
--- a/packages/service/core/dataset/collection/controller.ts
+++ b/packages/service/core/dataset/collection/controller.ts
@@ -3,7 +3,8 @@ import type { CreateDatasetCollectionParams } from '@fastgpt/global/core/dataset
 import { MongoDatasetCollection } from './schema';
 import {
  CollectionWithDatasetType,
-  DatasetCollectionSchemaType
+  DatasetCollectionSchemaType,
+  DatasetSchemaType
 } from '@fastgpt/global/core/dataset/type';
 import { MongoDatasetTraining } from '../training/schema';
 import { MongoDatasetData } from '../data/schema';
@@ -13,7 +14,132 @@ import { delFileByFileIdList } from '../../../common/file/gridfs/controller';
 import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
 import { ClientSession } from '../../../common/mongo';
 import { createOrGetCollectionTags } from './utils';
+import { rawText2Chunks } from '../read';
+import { checkDatasetLimit } from '../../../support/permission/teamLimit';
+import { predictDataLimitLength } from '../../../../global/core/dataset/utils';
+import { mongoSessionRun } from '../../../common/mongo/sessionRun';
+import { createTrainingUsage } from '../../../support/wallet/usage/controller';
+import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
+import { getLLMModel, getVectorModel } from '../../ai/model';
+import { pushDataListToTrainingQueue } from '../training/controller';
+import { MongoImage } from '../../../common/file/image/schema';
+import { hashStr } from '@fastgpt/global/common/string/tools';

+export const createCollectionAndInsertData = async ({
+  dataset,
+  rawText,
+  relatedId,
+  createCollectionParams,
+  isQAImport = false,
+  session
+}: {
+  dataset: DatasetSchemaType;
+  rawText: string;
+  relatedId?: string;
+  createCollectionParams: CreateOneCollectionParams;
+
+  isQAImport?: boolean;
+  session?: ClientSession;
+}) => {
+  const teamId = createCollectionParams.teamId;
+  const tmbId = createCollectionParams.tmbId;
+  // Chunk split params
+  const trainingType = createCollectionParams.trainingType || TrainingModeEnum.chunk;
+  const chunkSize = createCollectionParams.chunkSize;
+  const chunkSplitter = createCollectionParams.chunkSplitter;
+  const qaPrompt = createCollectionParams.qaPrompt;
+  const usageName = createCollectionParams.name;
+
+  // 1. split chunks
+  const chunks = rawText2Chunks({
+    rawText,
+    chunkLen: chunkSize,
+    overlapRatio: trainingType === TrainingModeEnum.chunk ? 0.2 : 0,
+    customReg: chunkSplitter ? [chunkSplitter] : [],
+    isQAImport
+  });
+
+  // 2. auth limit
+  await checkDatasetLimit({
+    teamId,
+    insertLen: predictDataLimitLength(trainingType, chunks)
+  });
+
+  const fn = async (session: ClientSession) => {
+    // 3. create collection
+    const { _id: collectionId } = await createOneCollection({
+      ...createCollectionParams,
+
+      hashRawText: hashStr(rawText),
+      rawTextLength: rawText.length,
+      session
+    });
+
+    // 4. create training bill
+    const { billId } = await createTrainingUsage({
+      teamId,
+      tmbId,
+      appName: usageName,
+      billSource: UsageSourceEnum.training,
+      vectorModel: getVectorModel(dataset.vectorModel)?.name,
+      agentModel: getLLMModel(dataset.agentModel)?.name,
+      session
+    });
+
+    // 5. insert to training queue
+    const insertResults = await pushDataListToTrainingQueue({
+      teamId,
+      tmbId,
+      datasetId: dataset._id,
+      collectionId,
+      agentModel: dataset.agentModel,
+      vectorModel: dataset.vectorModel,
+      trainingMode: trainingType,
+      prompt: qaPrompt,
+      billId,
+      data: chunks.map((item, index) => ({
+        ...item,
+        chunkIndex: index
+      })),
+      session
+    });
+
+    // 6. remove related image ttl
+    if (relatedId) {
+      await MongoImage.updateMany(
+        {
+          teamId,
+          'metadata.relatedId': relatedId
+        },
+        {
+          // Remove expiredTime to avoid ttl expiration
+          $unset: {
+            expiredTime: 1
+          }
+        },
+        {
+          session
+        }
+      );
+    }
+
+    return {
+      collectionId,
+      insertResults
+    };
+  };
+
+  if (session) {
+    return fn(session);
+  }
+  return mongoSessionRun(fn);
+};
+
+export type CreateOneCollectionParams = CreateDatasetCollectionParams & {
+  teamId: string;
+  tmbId: string;
+  session?: ClientSession;
+};
 export async function createOneCollection({
  teamId,
  tmbId,
@@ -33,18 +159,15 @@ export async function createOneCollection({
  externalFileId,
  externalFileUrl,

+  apiFileId,
+
  hashRawText,
  rawTextLength,
  metadata = {},
  session,
  tags,
-  ...props
-}: CreateDatasetCollectionParams & {
-  teamId: string;
-  tmbId: string;
-  [key: string]: any;
-  session?: ClientSession;
-}) {
+  createTime
+}: CreateOneCollectionParams) {
  // Create collection tags
  const collectionTags = await createOrGetCollectionTags({ tags, teamId, datasetId, session });

@@ -52,7 +175,6 @@ export async function createOneCollection({
  const [collection] = await MongoDatasetCollection.create(
    [
      {
-        ...props,
        teamId,
        tmbId,
        parentId: parentId || null,
@@ -64,16 +186,18 @@ export async function createOneCollection({
        chunkSize,
        chunkSplitter,
        qaPrompt,
+        metadata,

-        fileId,
-        rawLink,
+        ...(fileId ? { fileId } : {}),
+        ...(rawLink ? { rawLink } : {}),
        ...(externalFileId ? { externalFileId } : {}),
-        externalFileUrl,
+        ...(externalFileUrl ? { externalFileUrl } : {}),
+        ...(apiFileId ? { apiFileId } : {}),

        rawTextLength,
        hashRawText,
-        metadata,
-        tags: collectionTags
+        tags: collectionTags,
+        createTime
      }
    ],
    { session }
@@ -116,7 +240,68 @@ export const delCollectionRelatedSource = async ({
 /**
 * delete collection and it related data
 */
-export async function delCollectionAndRelatedSources({
+export async function delCollection({
+  collections,
+  session,
+  delRelatedSource
+}: {
+  collections: (CollectionWithDatasetType | DatasetCollectionSchemaType)[];
+  session: ClientSession;
+  delRelatedSource: boolean;
+}) {
+  if (collections.length === 0) return;
+
+  const teamId = collections[0].teamId;
+
+  if (!teamId) return Promise.reject('teamId is not exist');
+
+  const datasetIds = Array.from(
+    new Set(
+      collections.map((item) => {
+        if (typeof item.datasetId === 'string') {
+          return String(item.datasetId);
+        }
+        return String(item.datasetId._id);
+      })
+    )
+  );
+  const collectionIds = collections.map((item) => String(item._id));
+
+  // delete training data
+  await MongoDatasetTraining.deleteMany({
+    teamId,
+    datasetIds: { $in: datasetIds },
+    collectionId: { $in: collectionIds }
+  });
+
+  /* file and imgs */
+  if (delRelatedSource) {
+    await delCollectionRelatedSource({ collections, session });
+  }
+
+  // delete dataset.datas
+  await MongoDatasetData.deleteMany(
+    { teamId, datasetIds: { $in: datasetIds }, collectionId: { $in: collectionIds } },
+    { session }
+  );
+
+  // delete collections
+  await MongoDatasetCollection.deleteMany(
+    {
+      teamId,
+      _id: { $in: collectionIds }
+    },
+    { session }
+  );
+
+  // no session delete: delete files, vector data
+  await deleteDatasetDataVector({ teamId, datasetIds, collectionIds });
+}
+
+/**
+ * delete delOnlyCollection
+ */
+export async function delOnlyCollection({
  collections,
  session
 }: {
@@ -148,9 +333,6 @@ export async function delCollectionAndRelatedSources({
    collectionId: { $in: collectionIds }
  });

-  /* file and imgs */
-  await delCollectionRelatedSource({ collections, session });
-
  // delete dataset.datas
  await MongoDatasetData.deleteMany(
    { teamId, datasetIds: { $in: datasetIds }, collectionId: { $in: collectionIds } },
--- a/packages/service/core/dataset/collection/schema.ts
+++ b/packages/service/core/dataset/collection/schema.ts
@@ -10,90 +10,100 @@ import {

 export const DatasetColCollectionName = 'dataset_collections';

-const DatasetCollectionSchema = new Schema({
-  parentId: {
-    type: Schema.Types.ObjectId,
-    ref: DatasetColCollectionName,
-    default: null
-  },
-  teamId: {
-    type: Schema.Types.ObjectId,
-    ref: TeamCollectionName,
-    required: true
-  },
-  tmbId: {
-    type: Schema.Types.ObjectId,
-    ref: TeamMemberCollectionName,
-    required: true
-  },
-  datasetId: {
-    type: Schema.Types.ObjectId,
-    ref: DatasetCollectionName,
-    required: true
-  },
-  type: {
-    type: String,
-    enum: Object.keys(DatasetCollectionTypeMap),
-    required: true
-  },
-  name: {
-    type: String,
-    required: true
-  },
-  createTime: {
-    type: Date,
-    default: () => new Date()
-  },
-  updateTime: {
-    type: Date,
-    default: () => new Date()
-  },
-  forbid: {
-    type: Boolean,
-    default: false
-  },
+const DatasetCollectionSchema = new Schema(
+  {
+    parentId: {
+      type: Schema.Types.ObjectId,
+      ref: DatasetColCollectionName,
+      default: null
+    },
+    teamId: {
+      type: Schema.Types.ObjectId,
+      ref: TeamCollectionName,
+      required: true
+    },
+    tmbId: {
+      type: Schema.Types.ObjectId,
+      ref: TeamMemberCollectionName,
+      required: true
+    },
+    datasetId: {
+      type: Schema.Types.ObjectId,
+      ref: DatasetCollectionName,
+      required: true
+    },
+    type: {
+      type: String,
+      enum: Object.keys(DatasetCollectionTypeMap),
+      required: true
+    },
+    name: {
+      type: String,
+      required: true
+    },
+    createTime: {
+      type: Date,
+      default: () => new Date()
+    },
+    updateTime: {
+      type: Date,
+      default: () => new Date()
+    },
+    forbid: {
+      type: Boolean,
+      default: false
+    },

-  // chunk filed
-  trainingType: {
-    type: String,
-    enum: Object.keys(TrainingTypeMap)
-  },
-  chunkSize: {
-    type: Number,
-    required: true
-  },
-  chunkSplitter: {
-    type: String
-  },
-  qaPrompt: {
-    type: String
-  },
-  ocrParse: Boolean,
+    // chunk filed
+    trainingType: {
+      type: String,
+      enum: Object.keys(TrainingTypeMap)
+    },
+    chunkSize: {
+      type: Number,
+      required: true
+    },
+    chunkSplitter: {
+      type: String
+    },
+    qaPrompt: {
+      type: String
+    },
+    ocrParse: Boolean,

-  tags: {
-    type: [String],
-    default: []
-  },
+    tags: {
+      type: [String],
+      default: []
+    },

-  // local file collection
-  fileId: {
-    type: Schema.Types.ObjectId,
-    ref: 'dataset.files'
-  },
-  // web link collection
-  rawLink: String,
-  // external collection
-  externalFileId: String,
+    // local file collection
+    fileId: {
+      type: Schema.Types.ObjectId,
+      ref: 'dataset.files'
+    },
+    // web link collection
+    rawLink: String,
+    // api collection
+    apiFileId: String,
+    // external collection
+    externalFileId: String,
+    externalFileUrl: String, // external import url

-  // metadata
-  rawTextLength: Number,
-  hashRawText: String,
-  externalFileUrl: String, // external import url
-  metadata: {
-    type: Object,
-    default: {}
+    // metadata
+    rawTextLength: Number,
+    hashRawText: String,
+    metadata: {
+      type: Object,
+      default: {}
+    }
+  },
+  {
+    // Auto update updateTime
+    timestamps: {
+      updatedAt: 'updateTime'
+    }
  }
-});
+);

 try {
  // auth file
--- a/packages/service/core/dataset/collection/utils.ts
+++ b/packages/service/core/dataset/collection/utils.ts
@@ -1,17 +1,19 @@
-import type { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type.d';
 import { MongoDatasetCollection } from './schema';
-import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
-import { MongoDatasetTraining } from '../training/schema';
-import { urlsFetch } from '../../../common/string/cheerio';
-import {
-  DatasetCollectionTypeEnum,
-  TrainingModeEnum
-} from '@fastgpt/global/core/dataset/constants';
-import { hashStr } from '@fastgpt/global/common/string/tools';
 import { ClientSession } from '../../../common/mongo';
-import { PushDatasetDataResponse } from '@fastgpt/global/core/dataset/api';
 import { MongoDatasetCollectionTags } from '../tag/schema';
 import { readFromSecondary } from '../../../common/mongo/utils';
+import { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type';
+import {
+  DatasetCollectionSyncResultEnum,
+  DatasetCollectionTypeEnum,
+  DatasetSourceReadTypeEnum,
+  DatasetTypeEnum
+} from '@fastgpt/global/core/dataset/constants';
+import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
+import { readDatasetSourceRawText } from '../read';
+import { hashStr } from '@fastgpt/global/common/string/tools';
+import { mongoSessionRun } from '../../../common/mongo/sessionRun';
+import { createCollectionAndInsertData, delCollection } from './controller';

 /**
 * get all collection by top collectionId
@@ -61,148 +63,6 @@ export function getCollectionUpdateTime({ name, time }: { time?: Date; name: str
  return new Date();
 }

-/**
- * Get collection raw text by Collection or collectionId
- */
-export const getCollectionAndRawText = async ({
-  collectionId,
-  collection,
-  newRawText
-}: {
-  collectionId?: string;
-  collection?: CollectionWithDatasetType;
-  newRawText?: string;
-}) => {
-  const col = await (async () => {
-    if (collection) return collection;
-    if (collectionId) {
-      return (await MongoDatasetCollection.findById(collectionId).populate(
-        'datasetId'
-      )) as CollectionWithDatasetType;
-    }
-
-    return null;
-  })();
-
-  if (!col) {
-    return Promise.reject('Collection not found');
-  }
-
-  const { title, rawText } = await (async () => {
-    if (newRawText)
-      return {
-        title: '',
-        rawText: newRawText
-      };
-    // link
-    if (col.type === DatasetCollectionTypeEnum.link && col.rawLink) {
-      // crawl new data
-      const result = await urlsFetch({
-        urlList: [col.rawLink],
-        selector: col.datasetId?.websiteConfig?.selector || col?.metadata?.webPageSelector
-      });
-
-      return {
-        title: result[0]?.title,
-        rawText: result[0]?.content
-      };
-    }
-
-    // file
-
-    return {
-      title: '',
-      rawText: ''
-    };
-  })();
-
-  const hashRawText = hashStr(rawText);
-  const isSameRawText = rawText && col.hashRawText === hashRawText;
-
-  return {
-    collection: col,
-    title,
-    rawText,
-    isSameRawText
-  };
-};
-
-/* link collection start load data */
-export const reloadCollectionChunks = async ({
-  collection,
-  tmbId,
-  billId,
-  rawText,
-  session
-}: {
-  collection: CollectionWithDatasetType;
-  tmbId: string;
-  billId?: string;
-  rawText?: string;
-  session: ClientSession;
-}): Promise<PushDatasetDataResponse> => {
-  const {
-    title,
-    rawText: newRawText,
-    collection: col,
-    isSameRawText
-  } = await getCollectionAndRawText({
-    collection,
-    newRawText: rawText
-  });
-
-  if (isSameRawText)
-    return {
-      insertLen: 0
-    };
-
-  // split data
-  const { chunks } = splitText2Chunks({
-    text: newRawText,
-    chunkLen: col.chunkSize || 512,
-    customReg: col.chunkSplitter ? [col.chunkSplitter] : []
-  });
-
-  // insert to training queue
-  const model = await (() => {
-    if (col.trainingType === TrainingModeEnum.chunk) return col.datasetId.vectorModel;
-    if (col.trainingType === TrainingModeEnum.qa) return col.datasetId.agentModel;
-    return Promise.reject('Training model error');
-  })();
-
-  const result = await MongoDatasetTraining.insertMany(
-    chunks.map((item, i) => ({
-      teamId: col.teamId,
-      tmbId,
-      datasetId: col.datasetId._id,
-      collectionId: col._id,
-      billId,
-      mode: col.trainingType,
-      prompt: '',
-      model,
-      q: item,
-      a: '',
-      chunkIndex: i
-    })),
-    { session }
-  );
-
-  // update raw text
-  await MongoDatasetCollection.findByIdAndUpdate(
-    col._id,
-    {
-      ...(title && { name: title }),
-      rawTextLength: newRawText.length,
-      hashRawText: hashStr(newRawText)
-    },
-    { session }
-  );
-
-  return {
-    insertLen: result.length
-  };
-};
-
 export const createOrGetCollectionTags = async ({
  tags,
  datasetId,
@@ -268,3 +128,88 @@ export const collectionTagsToTagLabel = async ({
    })
    .filter(Boolean);
 };
+
+export const syncCollection = async (collection: CollectionWithDatasetType) => {
+  const dataset = collection.datasetId;
+
+  if (
+    collection.type !== DatasetCollectionTypeEnum.link &&
+    dataset.type !== DatasetTypeEnum.apiDataset
+  ) {
+    return Promise.reject(DatasetErrEnum.notSupportSync);
+  }
+
+  // Get new text
+  const sourceReadType = await (async () => {
+    if (collection.type === DatasetCollectionTypeEnum.link) {
+      if (!collection.rawLink) return Promise.reject('rawLink is missing');
+      return {
+        type: DatasetSourceReadTypeEnum.link,
+        sourceId: collection.rawLink,
+        selector: collection.metadata?.webPageSelector
+      };
+    }
+
+    if (!collection.apiFileId) return Promise.reject('apiFileId is missing');
+    if (!dataset.apiServer) return Promise.reject('apiServer not found');
+    return {
+      type: DatasetSourceReadTypeEnum.apiFile,
+      sourceId: collection.apiFileId,
+      apiServer: dataset.apiServer
+    };
+  })();
+  const rawText = await readDatasetSourceRawText({
+    teamId: collection.teamId,
+    ...sourceReadType
+  });
+
+  // Check if the original text is the same: skip if same
+  const hashRawText = hashStr(rawText);
+  if (collection.hashRawText && hashRawText === collection.hashRawText) {
+    return DatasetCollectionSyncResultEnum.sameRaw;
+  }
+
+  await mongoSessionRun(async (session) => {
+    // Create new collection
+    await createCollectionAndInsertData({
+      session,
+      dataset,
+      rawText: rawText,
+      createCollectionParams: {
+        teamId: collection.teamId,
+        tmbId: collection.tmbId,
+        datasetId: collection.datasetId._id,
+        name: collection.name,
+        type: collection.type,
+
+        fileId: collection.fileId,
+        rawLink: collection.rawLink,
+        externalFileId: collection.externalFileId,
+        externalFileUrl: collection.externalFileUrl,
+        apiFileId: collection.apiFileId,
+
+        rawTextLength: rawText.length,
+        hashRawText,
+
+        tags: collection.tags,
+        createTime: collection.createTime,
+
+        parentId: collection.parentId,
+        trainingType: collection.trainingType,
+        chunkSize: collection.chunkSize,
+        chunkSplitter: collection.chunkSplitter,
+        qaPrompt: collection.qaPrompt,
+        metadata: collection.metadata
+      }
+    });
+
+    // Delete old collection
+    await delCollection({
+      collections: [collection],
+      delRelatedSource: false,
+      session
+    });
+  });
+
+  return DatasetCollectionSyncResultEnum.success;
+};
--- a/packages/service/core/dataset/read.ts
+++ b/packages/service/core/dataset/read.ts
@@ -7,6 +7,8 @@ import { TextSplitProps, splitText2Chunks } from '@fastgpt/global/common/string/
 import axios from 'axios';
 import { readRawContentByFileBuffer } from '../../common/file/read/utils';
 import { parseFileExtensionFromUrl } from '@fastgpt/global/common/string/tools';
+import { APIFileServer } from '@fastgpt/global/core/dataset/apiDataset';
+import { useApiDatasetRequest } from './apiDataset/api';

 export const readFileRawTextByUrl = async ({
  teamId,
@@ -15,7 +17,7 @@ export const readFileRawTextByUrl = async ({
 }: {
  teamId: string;
  url: string;
-  relatedId?: string;
+  relatedId: string; // externalFileId / apiFileId
 }) => {
  const response = await axios({
    method: 'get',
@@ -40,9 +42,9 @@ export const readFileRawTextByUrl = async ({
 };

 /* 
-    fileId - local file, read from mongo
-    link - request
-    externalFile = request read
+  fileId - local file, read from mongo
+  link - request
+  externalFile/apiFile = request read
 */
 export const readDatasetSourceRawText = async ({
  teamId,
@@ -50,14 +52,17 @@ export const readDatasetSourceRawText = async ({
  sourceId,
  isQAImport,
  selector,
-  relatedId
+  externalFileId,
+  apiServer
 }: {
  teamId: string;
  type: DatasetSourceReadTypeEnum;
  sourceId: string;
-  isQAImport?: boolean;
-  selector?: string;
-  relatedId?: string;
+
+  isQAImport?: boolean; // csv data
+  selector?: string; // link selector
+  externalFileId?: string; // external file dataset
+  apiServer?: APIFileServer; // api dataset
 }): Promise<string> => {
  if (type === DatasetSourceReadTypeEnum.fileLocal) {
    const { rawText } = await readFileContentFromMongo({
@@ -75,10 +80,19 @@ export const readDatasetSourceRawText = async ({

    return result[0]?.content || '';
  } else if (type === DatasetSourceReadTypeEnum.externalFile) {
+    if (!externalFileId) return Promise.reject('FileId not found');
    const rawText = await readFileRawTextByUrl({
      teamId,
      url: sourceId,
-      relatedId
+      relatedId: externalFileId
+    });
+    return rawText;
+  } else if (type === DatasetSourceReadTypeEnum.apiFile) {
+    if (!apiServer) return Promise.reject('apiServer not found');
+    const rawText = await readApiServerFileContent({
+      apiServer,
+      apiFileId: sourceId,
+      teamId
    });
    return rawText;
  }
@@ -86,6 +100,18 @@ export const readDatasetSourceRawText = async ({
  return '';
 };

+export const readApiServerFileContent = async ({
+  apiServer,
+  apiFileId,
+  teamId
+}: {
+  apiServer: APIFileServer;
+  apiFileId: string;
+  teamId: string;
+}) => {
+  return useApiDatasetRequest({ apiServer }).getFileContent({ teamId, apiFileId });
+};
+
 export const rawText2Chunks = ({
  rawText,
  isQAImport,
--- a/packages/service/core/dataset/schema.ts
+++ b/packages/service/core/dataset/schema.ts
@@ -83,15 +83,18 @@ const DatasetSchema = new Schema({
      }
    }
  },
-  externalReadUrl: {
-    type: String
-  },
  inheritPermission: {
    type: Boolean,
    default: true
  },
+  apiServer: {
+    type: Object
+  },

  // abandoned
+  externalReadUrl: {
+    type: String
+  },
  defaultPermission: Number
 });

--- a/packages/service/core/dataset/training/utils.ts
+++ b/packages/service/core/dataset/training/utils.ts
@@ -28,8 +28,7 @@ export const checkInvalidChunkAndLock = async ({
    err?.type === 'invalid_request_error' ||
    err?.code === 500
  ) {
-    addLog.info('Lock training data');
-    console.log(err);
+    addLog.error('Lock training data', err);

    try {
      await MongoDatasetTraining.findByIdAndUpdate(data._id, {
--- a/packages/service/core/workflow/dispatch/index.ts
+++ b/packages/service/core/workflow/dispatch/index.ts
@@ -72,7 +72,6 @@ import { dispatchLoopEnd } from './loop/runLoopEnd';
 import { dispatchLoopStart } from './loop/runLoopStart';
 import { dispatchFormInput } from './interactive/formInput';
 import { dispatchToolParams } from './agent/runTool/toolParams';
-import { responseWrite } from '../../../common/response';

 const callbackMap: Record<FlowNodeTypeEnum, Function> = {
  [FlowNodeTypeEnum.workflowStart]: dispatchWorkflowStart,
@@ -500,8 +499,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
      value = replaceEditorVariable({
        text: value,
        nodes: runtimeNodes,
-        variables,
-        runningNode: node
+        variables
      });

      // replace reference variables
@@ -693,9 +691,17 @@ export function getSystemVariable({
  chatId,
  responseChatItemId,
  histories = [],
-  uid
+  uid,
+  chatConfig
 }: Props): SystemVariablesType {
+  const variables = chatConfig?.variables || [];
+  const variablesMap = variables.reduce<Record<string, any>>((acc, item) => {
+    acc[item.key] = valueTypeFormat(item.defaultValue, item.valueType);
+    return acc;
+  }, {});
+
  return {
+    ...variablesMap,
    userId: uid,
    appId: String(runningAppInfo.id),
    chatId,
--- a/packages/service/core/workflow/dispatch/plugin/run.ts
+++ b/packages/service/core/workflow/dispatch/plugin/run.ts
@@ -23,7 +23,6 @@ type RunPluginProps = ModuleDispatchProps<{
  [key: string]: any;
 }>;
 type RunPluginResponse = DispatchNodeResultType<{}>;
-
 export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPluginResponse> => {
  const {
    node: { pluginId, version },
@@ -31,7 +30,6 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
    query,
    params: { system_forbid_stream = false, ...data } // Plugin input
  } = props;
-
  if (!pluginId) {
    return Promise.reject('pluginId can not find');
  }
@@ -54,7 +52,6 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
        acc[cur.key] = cur.isToolOutput === false ? false : true;
        return acc;
      }, {}) ?? {};
-
  const runtimeNodes = storeNodes2RuntimeNodes(
    plugin.nodes,
    getWorkflowEntryNodeIds(plugin.nodes)
@@ -79,7 +76,6 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
    ...filterSystemVariables(props.variables),
    appId: String(plugin.id)
  };
-
  const { flowResponses, flowUsages, assistantResponses, runTimes } = await dispatchWorkFlow({
    ...props,
    // Rewrite stream mode
@@ -105,9 +101,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
    runtimeNodes,
    runtimeEdges: initWorkflowEdgeStatus(plugin.edges)
  });
-
  const output = flowResponses.find((item) => item.moduleType === FlowNodeTypeEnum.pluginOutput);
-
  if (output) {
    output.moduleLogo = plugin.avatar;
  }
@@ -117,7 +111,6 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
    childrenUsage: flowUsages,
    error: !!output?.pluginOutput?.error
  });
-
  return {
    // 嵌套运行时，如果 childApp stream=false，实际上不会有任何内容输出给用户，所以不需要存储
    assistantResponses: system_forbid_stream ? [] : assistantResponses,
--- a/packages/service/core/workflow/dispatch/tools/answer.ts
+++ b/packages/service/core/workflow/dispatch/tools/answer.ts
@@ -20,7 +20,7 @@ export const dispatchAnswer = (props: Record<string, any>): AnswerResponse => {
  } = props as AnswerProps;

  const formatText = typeof text === 'string' ? text : JSON.stringify(text, null, 2);
-  const responseText = `\n${formatText}`.replaceAll('\\n', '\n');
+  const responseText = `\n${formatText}`;

  workflowStreamResponse?.({
    event: SseResponseEventEnum.fastAnswer,
--- a/packages/service/core/workflow/dispatch/tools/http468.ts
+++ b/packages/service/core/workflow/dispatch/tools/http468.ts
@@ -110,8 +110,7 @@ export const dispatchHttp468Request = async (props: HttpRequestProps): Promise<H
      replaceEditorVariable({
        text,
        nodes: runtimeNodes,
-        variables: allVariables,
-        runningNode: node
+        variables: allVariables
      }),
      allVariables
    );
--- a/packages/service/core/workflow/dispatch/tools/readFiles.ts
+++ b/packages/service/core/workflow/dispatch/tools/readFiles.ts
@@ -12,6 +12,7 @@ import { readRawContentByFileBuffer } from '../../../../common/file/read/utils';
 import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { ChatItemType, UserChatItemValueItemType } from '@fastgpt/global/core/chat/type';
 import { parseFileExtensionFromUrl } from '@fastgpt/global/common/string/tools';
+import { addLog } from '../../../../common/system/log';

 type Props = ModuleDispatchProps<{
  [NodeInputKeyEnum.fileUrlList]: string[];
@@ -138,7 +139,7 @@ export const getFileContentFromLinks = async ({

        return url;
      } catch (error) {
-        console.log(error);
+        addLog.warn(`Parse url error`, { error });
        return '';
      }
    })
--- a/packages/service/core/workflow/dispatch/tools/runUpdateVar.ts
+++ b/packages/service/core/workflow/dispatch/tools/runUpdateVar.ts
@@ -47,8 +47,7 @@ export const dispatchUpdateVariable = async (props: Props): Promise<Response> =>
          ? replaceEditorVariable({
              text: formatValue,
              nodes: runtimeNodes,
-              variables,
-              runningNode: node
+              variables
            })
          : formatValue;
      } else {
--- a/packages/service/core/workflow/dispatch/utils.ts
+++ b/packages/service/core/workflow/dispatch/utils.ts
@@ -134,7 +134,7 @@ export const checkQuoteQAValue = (quoteQA?: SearchDataResponseItemType[]) => {
  if (quoteQA.length === 0) {
    return [];
  }
-  if (quoteQA.some((item) => !item.q || !item.datasetId)) {
+  if (quoteQA.some((item) => !item.q)) {
    return undefined;
  }
  return quoteQA;