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### What problem does this PR solve? Feat: Add Tavily Api Key to chat configuration modal. #5198 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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@ -176,6 +176,7 @@ const MessageItem = ({
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documentId={item.doc_id}
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documentName={item.doc_name}
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prefix="document"
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link={item.url}
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>
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{item.doc_name}
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</NewDocumentLink>
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@ -107,6 +107,7 @@ export interface Docagg {
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count: number;
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doc_id: string;
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doc_name: string;
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url?: string;
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}
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// interface Chunk {
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@ -531,6 +531,10 @@ This procedure will improve precision of retrieval by adding more information to
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reasoning: 'Reasoning',
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reasoningTip:
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'It will trigger reasoning process like Deepseek-R1/OpenAI o1. Integrates an agentic search process into the reasoning workflow, allowing models itself to dynamically retrieve external knowledge whenever they encounter uncertain information.',
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tavilyApiKeyTip:
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'If API key is set correctly, it will utilize Tavily to do web search as a supplement to knowledge bases.',
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tavilyApiKeyMessage: 'Please enter your Tavily Api Key',
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tavilyApiKeyHelp: 'How to get it?',
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},
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setting: {
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profile: 'Profile',
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@ -148,7 +148,8 @@ export default {
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selectFiles: '選擇文件',
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changeSpecificCategory: '更改特定類別',
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uploadTitle: '點擊或拖拽文件至此區域即可上傳',
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uploadDescription: '支持單次或批量上傳。單個檔案大小不超過10MB,最多上傳128份檔案。',
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uploadDescription:
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'支持單次或批量上傳。單個檔案大小不超過10MB,最多上傳128份檔案。',
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chunk: '解析塊',
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bulk: '批量',
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cancel: '取消',
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@ -510,6 +511,10 @@ export default {
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reasoning: '推理',
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reasoningTip:
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'它將觸發類似Deepseek-R1/OpenAI o1的推理過程。將代理搜尋過程整合到推理工作流程中,使得模型本身能夠在遇到不確定資訊時動態地檢索外部知識。',
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tavilyApiKeyTip:
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'如果 API 金鑰設定正確,它將利用 Tavily 進行網路搜尋作為知識庫的補充。',
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tavilyApiKeyMessage: '請輸入你的 Tavily Api Key',
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tavilyApiKeyHelp: '如何獲取?',
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},
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setting: {
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profile: '概述',
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@ -703,7 +708,8 @@ export default {
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newFolder: '新建文件夾',
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uploadFile: '上傳文件',
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uploadTitle: '點擊或拖拽文件至此區域即可上傳',
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uploadDescription: '支持單次或批量上傳。單個檔案大小不超過10MB,最多上傳128份檔案。',
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uploadDescription:
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'支持單次或批量上傳。單個檔案大小不超過10MB,最多上傳128份檔案。',
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file: '文件',
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directory: '文件夾',
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local: '本地上傳',
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@ -527,6 +527,10 @@ General:实体和关系提取提示来自 GitHub - microsoft/graphrag:基于
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reasoning: '推理',
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reasoningTip:
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'它将像Deepseek-R1 / OpenAI o1一样触发推理过程。将代理搜索过程集成到推理工作流中,允许模型本身在遇到不确定信息时动态地检索外部知识。',
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tavilyApiKeyTip:
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'如果 API 密钥设置正确,它将利用 Tavily 进行网络搜索作为知识库的补充。',
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tavilyApiKeyMessage: '请输入你的 Tavily Api Key',
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tavilyApiKeyHelp: '如何获取?',
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},
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setting: {
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profile: '概要',
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@ -2,7 +2,7 @@ import KnowledgeBaseItem from '@/components/knowledge-base-item';
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import { useTranslate } from '@/hooks/common-hooks';
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import { useFetchTenantInfo } from '@/hooks/user-setting-hooks';
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import { PlusOutlined } from '@ant-design/icons';
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import { Form, Input, message, Select, Switch, Upload } from 'antd';
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import { Form, Input, message, Select, Switch, Typography, Upload } from 'antd';
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import classNames from 'classnames';
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import { useCallback } from 'react';
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import { ISegmentedContentProps } from '../interface';
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@ -147,6 +147,16 @@ const AssistantSetting = ({
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>
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<Switch onChange={handleTtsChange} />
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</Form.Item>
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<Form.Item label={'Tavily Api Key'} tooltip={t('tavilyApiKeyTip')}>
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<div className="flex flex-col gap-1">
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<Form.Item name={['prompt_config', 'tavily_api_key']} noStyle>
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<Input.Password placeholder={t('tavilyApiKeyMessage')} />
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</Form.Item>
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<Typography.Link href="https://app.tavily.com/home" target={'_blank'}>
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{t('tavilyApiKeyHelp')}
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</Typography.Link>
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</div>
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</Form.Item>
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<KnowledgeBaseItem
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required={false}
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onChange={handleChange}
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@ -59,12 +59,22 @@ const MarkdownContent = ({
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}, [reference, setDocumentIds]);
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const handleDocumentButtonClick = useCallback(
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(documentId: string, chunk: IReferenceChunk, isPdf: boolean) => () => {
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if (!isPdf) {
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return;
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}
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clickDocumentButton?.(documentId, chunk);
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},
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(
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documentId: string,
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chunk: IReferenceChunk,
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isPdf: boolean,
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documentUrl?: string,
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) =>
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() => {
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if (!isPdf) {
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if (!documentUrl) {
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return;
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}
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window.open(documentUrl, '_blank');
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} else {
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clickDocumentButton?.(documentId, chunk);
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}
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},
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[clickDocumentButton],
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);
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@ -93,6 +103,7 @@ const MarkdownContent = ({
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(x) => x?.doc_id === chunkItem?.document_id,
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);
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const documentId = document?.doc_id;
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const documentUrl = document?.url;
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const fileThumbnail = documentId ? fileThumbnails[documentId] : '';
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const fileExtension = documentId ? getExtension(document?.doc_name) : '';
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const imageId = chunkItem?.image_id;
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@ -146,6 +157,7 @@ const MarkdownContent = ({
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documentId,
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chunkItem,
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fileExtension === 'pdf',
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documentUrl,
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)}
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>
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{document?.doc_name}
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