229 lines
9.0 KiB
TypeScript
229 lines
9.0 KiB
TypeScript
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export default {
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title: 'APP',
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createApplication: 'Create APP',
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importApplication: 'Import APP',
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copyApplication: 'Copy APP',
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workflow: 'WORKFLOW',
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simple: 'SIMPLE',
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searchBar: {
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placeholder: 'Search by name'
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},
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setting: {
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demo: 'Demo'
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},
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delete: {
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confirmTitle: 'Are you sure you want to delete this APP: ',
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confirmMessage:
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'Deleting this APP will no longer provide its services. Please proceed with caution.'
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},
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tip: {
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ExportError: 'Export Failed',
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professionalMessage:
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'The Community Edition supports up to 5 APP. If you need more APP, please upgrade to the Professional Edition.',
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saveErrorMessage: 'Saving failed, please check your input or try again later',
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loadingErrorMessage: 'Failed to load configuration, please check your input or try again later'
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},
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applicationForm: {
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title: {
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appTest: 'Debug Preview',
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copy: 'copy'
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},
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form: {
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appName: {
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label: 'Name',
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placeholder: 'Please enter the APP name',
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requiredMessage: 'APP name is required'
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},
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appDescription: {
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label: 'Description',
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placeholder:
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'Describe the APP scenario and use, e.g.: XXX assistant answering user questions about XXX product usage'
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},
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appType: {
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label: 'Type',
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simplePlaceholder: 'Suitable for beginners to create assistant.',
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workflowPlaceholder: 'Suitable for advanced users to customize the workflow of assistant'
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},
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appTemplate: {
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blankApp: 'Blank APP',
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assistantApp: 'Knowledge Assistant'
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},
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aiModel: {
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label: 'AI Model',
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placeholder: 'Please select an AI model'
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},
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roleSettings: {
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label: 'System Role',
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placeholder: 'You are xxx assistant'
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},
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prompt: {
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label: 'Prompt',
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noReferences: '（No references Knowledge）',
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references: ' (References Knowledge)',
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placeholder: 'Please enter prompt',
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requiredMessage: 'Please enter prompt',
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tooltip:
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'By adjusting the content of the prompt, you can guide the direction of the large model chat.',
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noReferencesTooltip:
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'By adjusting the content of the prompt, you can guide the direction of the large model chat. This prompt will be fixed at the beginning of the context. Variables used: {question} is the question posed by the user.',
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referencesTooltip:
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'By adjusting the content of the prompt, you can guide the direction of the large model chat. This prompt will be fixed at the beginning of the context. Variables used: {data} carries known information from the knowledge; {question} is the question posed by the user.',
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defaultPrompt: `Known information: {data}
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Question: {question}
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Response requirements:
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- Please use concise and professional language to answer the user's question.
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`
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},
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historyRecord: {
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label: 'Chat History'
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},
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relatedKnowledge: {
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label: 'Related Knowledge',
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placeholder: 'Related knowledge are displayed here'
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},
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multipleRoundsDialogue: 'Multiple Rounds Dialogue',
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prologue: 'Prologue',
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defaultPrologue:
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'Hello, I am XXX Assistant. You can ask me questions about using XXX.\n- What are the main features of XXX?\n- Which LLM does XXX support?\n- What document types does XXX support?',
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problemOptimization: {
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label: 'Questions Optimization',
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tooltip:
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'Optimize the current question based on historical chat to better match knowledge points.'
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},
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voiceInput: {
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label: 'Voice Input',
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placeholder: 'Please select a speech recognition model',
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requiredMessage: 'Please select a speech input model',
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autoSend: 'Automatic Sending'
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},
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voicePlay: {
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label: 'Voice Playback',
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placeholder: 'Please select a speech synthesis model',
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requiredMessage: 'Please select a speech playback model',
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autoPlay: 'Automatic Playback',
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browser: 'Browser Playback (free)',
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tts: 'TTS Model',
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listeningTest: 'Preview'
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},
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reasoningContent: {
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label: 'Output Thinking',
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tooltip:
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"Please set the thinking label based on the model's return, and the content in the middle of the label will be recognized as the thinking process.",
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start: 'Start',
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end: 'End'
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}
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},
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buttons: {
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publish: 'Save&Publish',
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addModel: 'Add Model'
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},
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dialog: {
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addDataset: 'Add Related Knowledge',
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addDatasetPlaceholder: 'The selected knowledge must use the same embedding model',
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selected: 'Selected',
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countDataset: 'Knowledge',
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selectSearchMode: 'Retrieval Mode',
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vectorSearch: 'Vector Search',
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vectorSearchTooltip:
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'Vector search is a retrieval method based on vector distance calculations, suitable for large data volumes in the knowledge.',
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fullTextSearch: 'Full-text Search',
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fullTextSearchTooltip:
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'Full-text search is a retrieval method based on text similarity, suitable for small data volumes in the knowledge.',
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hybridSearch: 'Hybrid Search',
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hybridSearchTooltip:
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'Hybrid search is a retrieval method based on both vector and text similarity, suitable for medium data volumes in the knowledge.',
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similarityThreshold: 'Similarity higher than',
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similarityTooltip: 'The higher the similarity, the stronger the correlation.',
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topReferences: 'Top N Segments',
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maxCharacters: 'Maximum Characters per Reference',
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noReferencesAction: 'When there are no knowledge references',
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continueQuestioning: 'Continue to ask questions to the Al model',
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provideAnswer: 'Specify Reply Content',
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designated_answer:
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'Hello, I am XXX Assistant. My knowledge only contains information related to XXX products. Please rephrase your question.',
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defaultPrompt1:
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"The content inside the parentheses () represents the user's question. Based on the context, please speculate and complete the user's question ({question}). The requirement is to output a completed question and place it",
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defaultPrompt2: 'tag'
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}
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},
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applicationAccess: {
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title: 'APP Access',
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wecom: 'WeCom',
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wecomTip: 'Create WeCom intelligent APP',
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dingtalk: 'DingTalk',
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dingtalkTip: 'Create DingTalk intelligent APP',
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wechat: 'WeChat',
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wechatTip: 'Create WeChat intelligent APP',
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lark: 'Lark',
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larkTip: 'Create Lark intelligent APP',
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setting: 'Setting',
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callback: 'Callback Address',
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callbackTip: 'Please fill in the callback address',
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wecomPlatform: 'WeCom Open Platform',
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wechatPlatform: 'WeChat Open Platform',
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dingtalkPlatform: 'DingTalk Open Platform',
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larkPlatform: 'Lark Open Platform',
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slack: 'Slack',
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slackTip: 'Create Slack intelligent APP',
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wecomSetting: {
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title: 'WeCom Configuration',
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cropId: 'Crop ID',
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cropIdPlaceholder: 'Please enter crop ID',
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agentIdPlaceholder: 'Please enter agent ID',
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secretPlaceholder: 'Please enter secret',
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tokenPlaceholder: 'Please enter token',
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encodingAesKeyPlaceholder: 'Please enter EncodingAESKey',
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authenticationSuccessful: 'Successful',
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urlInfo:
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'-APP management-Self-built-Created APP-Receive messages-Set the "URL" received by the API'
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},
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dingtalkSetting: {
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title: 'DingTalk Configuration',
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clientIdPlaceholder: 'Please enter client ID',
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clientSecretPlaceholder: 'Please enter client secret',
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urlInfo:
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'-On the robot page, set the "Message Receiving Mode" to HTTP mode, and fill in the above URL into the "Message Receiving Address"'
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},
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wechatSetting: {
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title: 'WeChat Configuration',
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appId: 'APP ID',
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appIdPlaceholder: 'Please enter APP ID',
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appSecret: 'APP SECRET',
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appSecretPlaceholder: 'Please enter APP SECRET',
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token: 'TOKEN',
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tokenPlaceholder: 'Please enter TOKEN',
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aesKey: 'Message Encryption Key',
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aesKeyPlaceholder: 'Please enter the message encryption key',
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urlInfo:
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'-Settings and Development-Basic Configuration-"Server Address URL" in server configuration'
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},
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larkSetting: {
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title: 'Lark Configuration',
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appIdPlaceholder: 'Please enter APP ID',
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appSecretPlaceholder: 'Please enter APP secret',
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verificationTokenPlaceholder: 'Please enter verification token',
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urlInfo:
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'-Events and callbacks - event configuration - configure the "request address" of the subscription method'
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},
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slackSetting: {
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title: 'Slack Configuration',
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signingSecretPlaceholder: 'Please enter signing secret',
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botUserTokenPlaceholder: 'Please enter bot user token'
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},
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copyUrl: 'Copy the link and fill it in'
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},
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hitTest: {
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title: 'Retrieval Testing',
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text: 'Test the hitting effect of the Knowledge based on the given query text.',
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emptyMessage1: 'Retrieval Testing results will show here',
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emptyMessage2: 'No matching sections found'
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}
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}
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