fix: plugin select files and ai response check (#3104)

* fix: plugin select files and ai response check * perf: text editor selector;tool call tip;remove invalid image url; * perf: select file * perf: drop files
2024-11-09 14:43:15 +08:00
parent 8bd0749afe
commit 72836402be
27 changed files with 162 additions and 80 deletions
--- a/packages/global/common/file/tools.ts
+++ b/packages/global/common/file/tools.ts
@@ -19,6 +19,7 @@ export const detectFileEncoding = (buffer: Buffer) => {

 // Url => user upload file type
 export const parseUrlToFileType = (url: string): UserChatItemValueItemType['file'] | undefined => {
+  if (typeof url !== 'string') return;
  const parseUrl = new URL(url, 'https://locaohost:3000');

  const filename = (() => {
--- a/packages/global/core/ai/prompt/AIChat.ts
+++ b/packages/global/core/ai/prompt/AIChat.ts
@@ -207,8 +207,8 @@ export const Prompt_systemQuotePromptList: PromptTemplateItem[] = [
 ];

 // Document quote prompt
-export const Prompt_DocumentQuote = `将 <Reference></Reference> 中的内容作为本次对话的参考:
-<Reference>
+export const Prompt_DocumentQuote = `将 <FilesContent></FilesContent> 中的内容作为本次对话的参考:
+<FilesContent>
 {{quote}}
-</Reference>
+</FilesContent>
 `;
--- a/packages/global/core/workflow/runtime/type.d.ts
+++ b/packages/global/core/workflow/runtime/type.d.ts
@@ -135,6 +135,9 @@ export type DispatchNodeResponseType = {
  extensionResult?: string;
  extensionTokens?: number;

+  // dataset concat
+  concatLength?: number;
+
  // cq
  cqList?: ClassifyQuestionAgentItemType[];
  cqResult?: string;
--- a/packages/global/core/workflow/runtime/utils.ts
+++ b/packages/global/core/workflow/runtime/utils.ts
@@ -335,7 +335,12 @@ export function replaceEditorVariable({
  for (const key in allVariables) {
    const variable = allVariables[key];
    const val = variable.value;
-    const formatVal = typeof val === 'object' ? JSON.stringify(val) : String(val);
+    const formatVal = (() => {
+      if (val === undefined) return '';
+      if (val === null) return 'null';
+
+      return typeof val === 'object' ? JSON.stringify(val) : String(val);
+    })();

    const regex = new RegExp(`\\{\\{\\$(${variable.nodeId}\\.${variable.id})\\$\\}\\}`, 'g');
    text = text.replace(regex, formatVal);
--- a/packages/global/core/workflow/template/system/aiChat/index.ts
+++ b/packages/global/core/workflow/template/system/aiChat/index.ts
@@ -90,7 +90,7 @@ export const AiChatModule: FlowNodeTemplateType = {
      renderTypeList: [FlowNodeInputTypeEnum.hidden],
      label: '',
      valueType: WorkflowIOValueTypeEnum.boolean,
-      value: false
+      value: true
    },
    // settings modal ---
    {
--- a/packages/global/core/workflow/template/system/datasetConcat.ts
+++ b/packages/global/core/workflow/template/system/datasetConcat.ts
@@ -25,7 +25,7 @@ export const getOneQuoteInputTemplate = ({
 }): FlowNodeInputItemType => ({
  key,
  renderTypeList: [FlowNodeInputTypeEnum.reference],
-  label: `${i18nT('workflow:quote_num')}`,
+  label: `${i18nT('workflow:quote_num')}-${index}`,
  debugLabel: i18nT('workflow:knowledge_base_reference'),
  canEdit: true,
  valueType: WorkflowIOValueTypeEnum.datasetQuote
--- a/packages/global/core/workflow/template/system/textEditor.ts
+++ b/packages/global/core/workflow/template/system/textEditor.ts
@@ -24,17 +24,8 @@ export const TextEditorNode: FlowNodeTemplateType = {
  name: i18nT('workflow:text_concatenation'),
  intro: i18nT('workflow:intro_text_concatenation'),
  courseUrl: '/docs/workflow/modules/text_editor/',
-  version: '486',
+  version: '4813',
  inputs: [
-    {
-      ...Input_Template_DynamicInput,
-      description: i18nT('workflow:dynamic_input_description_concat'),
-      customInputConfig: {
-        selectValueTypeList: Object.values(WorkflowIOValueTypeEnum),
-        showDescription: false,
-        showDefaultValue: false
-      }
-    },
    {
      key: NodeInputKeyEnum.textareaInput,
      renderTypeList: [FlowNodeInputTypeEnum.textarea],
--- a/packages/global/core/workflow/template/system/tools.ts
+++ b/packages/global/core/workflow/template/system/tools.ts
@@ -58,7 +58,7 @@ export const ToolModule: FlowNodeTemplateType = {
      renderTypeList: [FlowNodeInputTypeEnum.hidden],
      label: '',
      valueType: WorkflowIOValueTypeEnum.boolean,
-      value: false
+      value: true
    },

    {
--- a/packages/service/core/chat/utils.ts
+++ b/packages/service/core/chat/utils.ts
@@ -118,34 +118,47 @@ export const loadRequestMessages = async ({
            return item.image_url.url;
          })();

-          // If imgUrl is a local path, load image from local, and set url to base64
-          if (imgUrl.startsWith('/')) {
-            addLog.debug('Load image from local server', {
-              baseUrl: serverRequestBaseUrl,
-              requestUrl: imgUrl
-            });
-            const response = await axios.get(imgUrl, {
-              baseURL: serverRequestBaseUrl,
-              responseType: 'arraybuffer',
-              proxy: false
-            });
-            const base64 = Buffer.from(response.data, 'binary').toString('base64');
-            const imageType =
-              getFileContentTypeFromHeader(response.headers['content-type']) ||
-              guessBase64ImageType(base64);
+          try {
+            // If imgUrl is a local path, load image from local, and set url to base64
+            if (imgUrl.startsWith('/')) {
+              addLog.debug('Load image from local server', {
+                baseUrl: serverRequestBaseUrl,
+                requestUrl: imgUrl
+              });
+              const response = await axios.get(imgUrl, {
+                baseURL: serverRequestBaseUrl,
+                responseType: 'arraybuffer',
+                proxy: false
+              });
+              const base64 = Buffer.from(response.data, 'binary').toString('base64');
+              const imageType =
+                getFileContentTypeFromHeader(response.headers['content-type']) ||
+                guessBase64ImageType(base64);

-            return {
-              ...item,
-              image_url: {
-                ...item.image_url,
-                url: `data:${imageType};base64,${base64}`
-              }
-            };
+              return {
+                ...item,
+                image_url: {
+                  ...item.image_url,
+                  url: `data:${imageType};base64,${base64}`
+                }
+              };
+            }
+
+            // 检查下这个图片是否可以被访问，如果不行的话，则过滤掉
+            const response = await axios.head(imgUrl, {
+              timeout: 10000
+            });
+            if (response.status < 200 || response.status >= 400) {
+              addLog.info(`Filter invalid image: ${imgUrl}`);
+              return;
+            }
+          } catch (error) {
+            return;
          }
        }
        return item;
      })
-    );
+    ).then((res) => res.filter(Boolean) as ChatCompletionContentPart[]);
  };
  // Split question text and image
  const parseStringWithImages = (input: string): ChatCompletionContentPart[] => {
--- a/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
@@ -28,6 +28,7 @@ import { computedMaxToken, llmCompletionsBodyFormat } from '../../../../ai/utils
 import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
 import { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
+import { i18nT } from '../../../../../../web/i18n/utils';

 type FunctionRunResponseType = {
  toolRunResponse: DispatchFlowResponse;
@@ -549,7 +550,7 @@ async function streamResponse({
  }

  if (!textAnswer && functionCalls.length === 0) {
-    return Promise.reject('LLM api response empty');
+    return Promise.reject(i18nT('chat:LLM_model_response_empty'));
  }

  return { answer: textAnswer, functionCalls };
--- a/packages/service/core/workflow/dispatch/agent/runTool/index.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/index.ts
@@ -96,7 +96,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<

  const globalFiles = chatValue2RuntimePrompt(query).files;
  const { documentQuoteText, userFiles } = await getMultiInput({
-    histories,
+    histories: chatHistories,
    requestOrigin,
    maxFiles: chatConfig?.fileSelectConfig?.maxFiles || 20,
    teamId,
--- a/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
@@ -29,6 +29,7 @@ import { WorkflowResponseType } from '../../type';
 import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
 import { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
 import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
+import { i18nT } from '../../../../../../web/i18n/utils';

 type FunctionCallCompletion = {
  id: string;
@@ -537,7 +538,7 @@ async function streamResponse({
  }

  if (!textAnswer) {
-    return Promise.reject('LLM api response empty');
+    return Promise.reject(i18nT('chat:LLM_model_response_empty'));
  }
  return { answer: textAnswer.trim() };
 }
--- a/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
@@ -28,6 +28,7 @@ import { addLog } from '../../../../../common/system/log';
 import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
 import { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
 import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
+import { i18nT } from '../../../../../../web/i18n/utils';

 type ToolRunResponseType = {
  toolRunResponse: DispatchFlowResponse;
@@ -656,7 +657,7 @@ async function streamResponse({
  }

  if (!textAnswer && toolCalls.length === 0) {
-    return Promise.reject('LLM api response empty');
+    return Promise.reject(i18nT('chat:LLM_model_response_empty'));
  }

  return { answer: textAnswer, toolCalls };
--- a/packages/service/core/workflow/dispatch/chat/oneapi.ts
+++ b/packages/service/core/workflow/dispatch/chat/oneapi.ts
@@ -5,11 +5,7 @@ import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';
 import { textAdaptGptResponse } from '@fastgpt/global/core/workflow/runtime/utils';
 import { getAIApi } from '../../../ai/config';
-import type {
-  ChatCompletion,
-  ChatCompletionMessageParam,
-  StreamChatType
-} from '@fastgpt/global/core/ai/type.d';
+import type { ChatCompletion, StreamChatType } from '@fastgpt/global/core/ai/type.d';
 import { formatModelChars2Points } from '../../../../support/wallet/usage/utils';
 import type { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { postTextCensor } from '../../../../common/api/requestPlusApi';
@@ -48,6 +44,7 @@ import { AiChatQuoteRoleType } from '@fastgpt/global/core/workflow/template/syst
 import { getErrText } from '@fastgpt/global/common/error/utils';
 import { getFileContentFromLinks, getHistoryFileLinks } from '../tools/readFiles';
 import { parseUrlToFileType } from '@fastgpt/global/common/file/tools';
+import { i18nT } from '../../../../../web/i18n/utils';

 export type ChatProps = ModuleDispatchProps<
  AIChatNodeProps & {
@@ -93,9 +90,6 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
  } = props;
  const { files: inputFiles } = chatValue2RuntimePrompt(query); // Chat box input files

-  if (!userChatInput && inputFiles.length === 0) {
-    return Promise.reject('Question is empty');
-  }
  stream = stream && isResponseAnswerText;

  const chatHistories = getHistories(history, histories);
@@ -112,7 +106,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
      quoteTemplate
    }),
    getMultiInput({
-      histories,
+      histories: chatHistories,
      inputFiles,
      fileLinks,
      stringQuoteText,
@@ -122,6 +116,10 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    })
  ]);

+  if (!userChatInput && !documentQuoteText && userFiles.length === 0) {
+    return Promise.reject(i18nT('chat:AI_input_is_empty'));
+  }
+
  const [{ filterMessages }] = await Promise.all([
    getChatMessages({
      model: modelConstantsData,
@@ -198,7 +196,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
        });

        if (!answer) {
-          throw new Error('LLM model response empty');
+          return Promise.reject(i18nT('chat:LLM_model_response_empty'));
        }

        return {
--- a/packages/service/core/workflow/dispatch/dataset/concat.ts
+++ b/packages/service/core/workflow/dispatch/dataset/concat.ts
@@ -1,17 +1,21 @@
 import type { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
-import type { ModuleDispatchProps } from '@fastgpt/global/core/workflow/runtime/type';
+import type {
+  DispatchNodeResultType,
+  ModuleDispatchProps
+} from '@fastgpt/global/core/workflow/runtime/type';
 import { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
 import { datasetSearchResultConcat } from '@fastgpt/global/core/dataset/search/utils';
 import { filterSearchResultsByMaxChars } from '../../utils';
+import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';

 type DatasetConcatProps = ModuleDispatchProps<
  {
    [NodeInputKeyEnum.datasetMaxTokens]: number;
  } & { [key: string]: SearchDataResponseItemType[] }
 >;
-type DatasetConcatResponse = {
+type DatasetConcatResponse = DispatchNodeResultType<{
  [NodeOutputKeyEnum.datasetQuoteQA]: SearchDataResponseItemType[];
-};
+}>;

 export async function dispatchDatasetConcat(
  props: DatasetConcatProps
@@ -30,6 +34,12 @@ export async function dispatchDatasetConcat(
  );

  return {
-    [NodeOutputKeyEnum.datasetQuoteQA]: await filterSearchResultsByMaxChars(rrfConcatResults, limit)
+    [NodeOutputKeyEnum.datasetQuoteQA]: await filterSearchResultsByMaxChars(
+      rrfConcatResults,
+      limit
+    ),
+    [DispatchNodeResponseKeyEnum.nodeResponse]: {
+      concatLength: rrfConcatResults.length
+    }
  };
 }
--- a/packages/service/core/workflow/dispatch/dataset/search.ts
+++ b/packages/service/core/workflow/dispatch/dataset/search.ts
@@ -16,6 +16,7 @@ import { datasetSearchQueryExtension } from '../../../dataset/search/utils';
 import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
 import { checkTeamReRankPermission } from '../../../../support/permission/teamLimit';
 import { MongoDataset } from '../../../dataset/schema';
+import { i18nT } from '../../../../../web/i18n/utils';

 type DatasetSearchProps = ModuleDispatchProps<{
  [NodeInputKeyEnum.datasetSelectList]: SelectedDatasetType;
@@ -56,15 +57,15 @@ export async function dispatchDatasetSearch(
  } = props as DatasetSearchProps;

  if (!Array.isArray(datasets)) {
-    return Promise.reject('Quote type error');
+    return Promise.reject(i18nT('chat:dataset_quote_type error'));
  }

  if (datasets.length === 0) {
-    return Promise.reject('core.chat.error.Select dataset empty');
+    return Promise.reject(i18nT('common:core.chat.error.Select dataset empty'));
  }

  if (!userChatInput) {
-    return Promise.reject('core.chat.error.User input empty');
+    return Promise.reject(i18nT('common:core.chat.error.User input empty'));
  }

  // query extension
--- a/packages/service/core/workflow/dispatch/tools/readFiles.ts
+++ b/packages/service/core/workflow/dispatch/tools/readFiles.ts
@@ -112,15 +112,24 @@ export const getFileContentFromLinks = async ({
  teamId: string;
 }) => {
  const parseUrlList = urls
+    // Remove invalid urls
+    .filter((url) => {
+      if (typeof url !== 'string') return false;
+
+      // 检查相对路径
+      const validPrefixList = ['/', 'http', 'ws'];
+      if (validPrefixList.some((prefix) => url.startsWith(prefix))) {
+        return true;
+      }
+
+      return false;
+    })
+    // Just get the document type file
+    .filter((url) => parseUrlToFileType(url)?.type === 'file')
    .map((url) => {
      try {
        // Check is system upload file
        if (url.startsWith('/') || (requestOrigin && url.startsWith(requestOrigin))) {
-          // Parse url, get filename query. Keep only documents that can be parsed
-          if (parseUrlToFileType(url)?.type !== 'file') {
-            return '';
-          }
-
          //  Remove the origin(Make intranet requests directly)
          if (requestOrigin && url.startsWith(requestOrigin)) {
            url = url.replace(requestOrigin, '');
@@ -152,7 +161,7 @@ export const getFileContentFromLinks = async ({
        }

        try {
-          // Get file buffer
+          // Get file buffer data
          const response = await axios.get(url, {
            baseURL: serverRequestBaseUrl,
            responseType: 'arraybuffer'
--- a/packages/web/components/common/MySelect/MultipleRowSelect.tsx
+++ b/packages/web/components/common/MySelect/MultipleRowSelect.tsx
@@ -1,4 +1,4 @@
-import React, { useRef, useCallback, useState } from 'react';
+import React, { useRef, useCallback, useState, useMemo } from 'react';
 import { Button, useDisclosure, Box, Flex, useOutsideClick, Checkbox } from '@chakra-ui/react';
 import { ListItemType, MultipleArraySelectProps, MultipleSelectProps } from './type';
 import EmptyTip from '../EmptyTip';
@@ -177,6 +177,10 @@ export const MultipleRowArraySelect = ({

  const [navigationPath, setNavigationPath] = useState<string[]>([]);

+  const formatValue = useMemo(() => {
+    return Array.isArray(value) ? value : [];
+  }, [value]);
+
  // Close when clicking outside
  useOutsideClick({
    ref: ref,
@@ -198,7 +202,7 @@ export const MultipleRowArraySelect = ({
          setNavigationPath(newPath);
        } else {
          const parentValue = navigationPath[0];
-          const newValues = [...value];
+          const newValues = [...formatValue];
          const newValue = [parentValue, item.value];

          if (newValues.some((v) => v[0] === parentValue && v[1] === item.value)) {
@@ -225,7 +229,7 @@ export const MultipleRowArraySelect = ({
              const showCheckbox = !hasChildren;
              const isChecked =
                showCheckbox &&
-                value.some((v) => v[1] === item.value && v[0] === navigationPath[0]);
+                formatValue.some((v) => v[1] === item.value && v[0] === navigationPath[0]);

              return (
                <Flex
@@ -264,13 +268,13 @@ export const MultipleRowArraySelect = ({
        </>
      );
    },
-    [navigationPath, value, onSelect]
+    [navigationPath, formatValue, onSelect]
  );

  const onOpenSelect = useCallback(() => {
    setNavigationPath([]);
    onOpen();
-  }, [value, onOpen]);
+  }, []);

  return (
    <Box ref={ref} position={'relative'}>
--- a/packages/web/i18n/en/chat.json
+++ b/packages/web/i18n/en/chat.json
@@ -1,5 +1,7 @@
 {
+  "AI_input_is_empty": "The content passed to the AI node is empty",
  "Delete_all": "Clear All Lexicon",
+  "LLM_model_response_empty": "The model flow response is empty, please check whether the model flow output is normal.",
  "chat_history": "Conversation History",
  "chat_input_guide_lexicon_is_empty": "Lexicon not configured yet",
  "citations": "{{num}} References",
@@ -12,6 +14,7 @@
  "contextual_preview": "Contextual Preview {{num}} Items",
  "csv_input_lexicon_tip": "Only CSV batch import is supported, click to download the template",
  "custom_input_guide_url": "Custom Lexicon URL",
+  "dataset_quote_type error": "Knowledge base reference type is wrong, correct type: { datasetId: string }[]",
  "delete_all_input_guide_confirm": "Are you sure you want to clear the input guide lexicon?",
  "empty_directory": "This directory is empty~",
  "file_amount_over": "Exceeded maximum file quantity {{max}}",
@@ -32,12 +35,14 @@
  "not_select_file": "No file selected",
  "plugins_output": "Plugin Output",
  "question_tip": "From top to bottom, the response order of each module",
+  "response.dataset_concat_length": "Combined total",
  "response.node_inputs": "Node Inputs",
  "select": "Select",
  "select_file": "Upload File",
  "select_file_img": "Upload file / image",
  "select_img": "Upload Image",
  "stream_output": "Stream Output",
+  "unsupported_file_type": "Unsupported file types",
  "upload": "Upload",
  "view_citations": "View References",
  "web_site_sync": "Web Site Sync"
--- a/packages/web/i18n/en/workflow.json
+++ b/packages/web/i18n/en/workflow.json
@@ -131,7 +131,7 @@
  "question_optimization": "Question Optimization",
  "quote_content_placeholder": "The structure of the reference content can be customized to better suit different scenarios. \nSome variables can be used for template configuration\n\n{{q}} - main content\n\n{{a}} - auxiliary data\n\n{{source}} - source name\n\n{{sourceId}} - source ID\n\n{{index}} - nth reference",
  "quote_content_tip": "The structure of the reference content can be customized to better suit different scenarios. Some variables can be used for template configuration:\n\n{{q}} - main content\n{{a}} - auxiliary data\n{{source}} - source name\n{{sourceId}} - source ID\n{{index}} - nth reference\nThey are all optional and the following are the default values:\n\n{{default}}",
-  "quote_num": "Quote {{num}}",
+  "quote_num": "Dataset",
  "quote_prompt_tip": "You can use {{quote}} to insert a quote content template and {{question}} to insert a question (Role=user).\n\nThe following are the default values:\n\n{{default}}",
  "quote_role_system_tip": "Please note that the {{question}} variable is removed from the \"Quote Template Prompt Words\"",
  "quote_role_user_tip": "Please pay attention to adding the {{question}} variable in the \"Quote Template Prompt Word\"",
--- a/packages/web/i18n/zh/chat.json
+++ b/packages/web/i18n/zh/chat.json
@@ -1,5 +1,7 @@
 {
+  "AI_input_is_empty": "传入AI 节点的内容为空",
  "Delete_all": "清空词库",
+  "LLM_model_response_empty": "模型流响应为空，请检查模型流输出是否正常",
  "chat_history": "聊天记录",
  "chat_input_guide_lexicon_is_empty": "还没有配置词库",
  "citations": "{{num}}条引用",
@@ -12,6 +14,7 @@
  "contextual_preview": "上下文预览 {{num}} 条",
  "csv_input_lexicon_tip": "仅支持 CSV 批量导入，点击下载模板",
  "custom_input_guide_url": "自定义词库地址",
+  "dataset_quote_type error": "知识库引用类型错误，正确类型：{ datasetId: string }[]",
  "delete_all_input_guide_confirm": "确定要清空输入引导词库吗？",
  "empty_directory": "这个目录已经没东西可选了~",
  "file_amount_over": "超出最大文件数量 {{max}}",
@@ -33,12 +36,14 @@
  "plugins_output": "插件输出",
  "question_tip": "从上到下，为各个模块的响应顺序",
  "response.child total points": "子工作流积分消耗",
+  "response.dataset_concat_length": "合并后总数",
  "response.node_inputs": "节点输入",
  "select": "选择",
  "select_file": "上传文件",
  "select_file_img": "上传文件/图片",
  "select_img": "上传图片",
  "stream_output": "流输出",
+  "unsupported_file_type": "不支持的文件类型",
  "upload": "上传",
  "view_citations": "查看引用",
  "web_site_sync": "Web站点同步"
--- a/packages/web/i18n/zh/workflow.json
+++ b/packages/web/i18n/zh/workflow.json
@@ -132,7 +132,7 @@
  "question_optimization": "问题优化",
  "quote_content_placeholder": "可以自定义引用内容的结构，以更好的适配不同场景。可以使用一些变量来进行模板配置\n{{q}} - 主要内容\n{{a}} - 辅助数据\n{{source}} - 来源名\n{{sourceId}} - 来源ID\n{{index}} - 第 n 个引用",
  "quote_content_tip": "可以自定义引用内容的结构，以更好的适配不同场景。可以使用一些变量来进行模板配置\n{{q}} - 主要内容\n{{a}} - 辅助数据\n{{source}} - 来源名\n{{sourceId}} - 来源ID\n{{index}} - 第 n 个引用\n他们都是可选的，下面是默认值：\n{{default}}",
-  "quote_num": "引用{{num}}",
+  "quote_num": "引用",
  "quote_prompt_tip": "可以用 {{quote}} 来插入引用内容模板，使用 {{question}} 来插入问题(Role=user)。\n下面是默认值：\n{{default}}",
  "quote_role_system_tip": "请注意从“引用模板提示词”中移除 {{question}} 变量",
  "quote_role_user_tip": "请注意在“引用模板提示词”中添加 {{question}} 变量",
--- a/projects/app/src/components/core/chat/ChatContainer/ChatBox/Input/ChatInput.tsx
+++ b/projects/app/src/components/core/chat/ChatContainer/ChatBox/Input/ChatInput.tsx
@@ -17,6 +17,7 @@ import { documentFileType } from '@fastgpt/global/common/file/constants';
 import FilePreview from '../../components/FilePreview';
 import { useFileUpload } from '../hooks/useFileUpload';
 import ComplianceTip from '@/components/common/ComplianceTip/index';
+import { useToast } from '@fastgpt/web/hooks/useToast';

 const InputGuideBox = dynamic(() => import('./InputGuideBox'));

@@ -44,6 +45,7 @@ const ChatInput = ({
 }) => {
  const { isPc } = useSystem();
  const { t } = useTranslation();
+  const { toast } = useToast();

  const { setValue, watch, control } = chatForm;
  const inputValue = watch('input');
@@ -285,6 +287,7 @@ const ChatInput = ({
              onSelectFile({ files });

              if (files.length > 0) {
+                e.preventDefault();
                e.stopPropagation();
              }
            }
@@ -435,7 +438,36 @@ const ChatInput = ({
  );

  return (
-    <Box m={['0 auto', '10px auto']} w={'100%'} maxW={['auto', 'min(800px, 100%)']} px={[0, 5]}>
+    <Box
+      m={['0 auto', '10px auto']}
+      w={'100%'}
+      maxW={['auto', 'min(800px, 100%)']}
+      px={[0, 5]}
+      onDragOver={(e) => e.preventDefault()}
+      onDrop={(e) => {
+        e.preventDefault();
+
+        if (!(showSelectFile || showSelectImg)) return;
+        const files = Array.from(e.dataTransfer.files);
+
+        const droppedFiles = files.filter((file) => fileTypeFilter(file));
+        if (droppedFiles.length > 0) {
+          onSelectFile({ files: droppedFiles });
+        }
+
+        const invalidFileName = files
+          .filter((file) => !fileTypeFilter(file))
+          .map((file) => file.name)
+          .join(', ');
+        if (invalidFileName) {
+          toast({
+            status: 'warning',
+            title: t('chat:unsupported_file_type'),
+            description: invalidFileName
+          });
+        }
+      }}
+    >
      <Box
        pt={fileList.length > 0 ? '0' : ['14px', '18px']}
        pb={['14px', '18px']}
--- a/projects/app/src/components/core/chat/ChatContainer/ChatBox/index.tsx
+++ b/projects/app/src/components/core/chat/ChatContainer/ChatBox/index.tsx
@@ -527,7 +527,7 @@ const ChatBox = (
            });
            if (responseData?.[responseData.length - 1]?.error) {
              toast({
-                title: responseData[responseData.length - 1].error?.message,
+                title: t(responseData[responseData.length - 1].error?.message),
                status: 'error'
              });
            }
--- a/projects/app/src/components/core/chat/components/WholeResponseModal.tsx
+++ b/projects/app/src/components/core/chat/components/WholeResponseModal.tsx
@@ -237,6 +237,10 @@ export const WholeResponseContent = ({
          />
        )}
      </>
+      {/* dataset concat */}
+      <>
+        <Row label={t('chat:response.dataset_concat_length')} value={activeModule?.concatLength} />
+      </>
      {/* classify question */}
      <>
        <Row
--- a/projects/app/src/pages/app/detail/components/WorkflowComponents/Flow/index.tsx
+++ b/projects/app/src/pages/app/detail/components/WorkflowComponents/Flow/index.tsx
@@ -1,5 +1,5 @@
-import React, { useEffect, useRef } from 'react';
-import ReactFlow, { NodeProps, ReactFlowProvider, SelectionMode } from 'reactflow';
+import React from 'react';
+import ReactFlow, { NodeProps, SelectionMode } from 'reactflow';
 import { Box, IconButton, useDisclosure } from '@chakra-ui/react';
 import { SmallCloseIcon } from '@chakra-ui/icons';
 import { EDGE_TYPE, FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
@@ -13,7 +13,6 @@ import 'reactflow/dist/style.css';
 import { FlowNodeItemType } from '@fastgpt/global/core/workflow/type/node.d';
 import { connectionLineStyle, defaultEdgeOptions, maxZoom, minZoom } from '../constants';
 import { useContextSelector } from 'use-context-selector';
-import { WorkflowContext } from '../context';
 import { useWorkflow } from './hooks/useWorkflow';
 import HelperLines from './components/HelperLines';
 import FlowController from './components/FlowController';
--- a/projects/app/src/pages/app/detail/components/WorkflowComponents/Flow/nodes/NodeIfElse/ListItem.tsx
+++ b/projects/app/src/pages/app/detail/components/WorkflowComponents/Flow/nodes/NodeIfElse/ListItem.tsx
@@ -256,7 +256,6 @@ const ListItem = ({
            }}
            variant={'link'}
            leftIcon={<SmallAddIcon />}
-            my={3}
            color={'primary.600'}
          >
            {t('common:core.module.input.add')}