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src/lib/components/admin/Settings/Documents.svelte
899 строк
28 KB
Валерий Конюхов
first_commit
08 июл 2025, 22:20
08 июл 2025, 22:20
a4e8dc9
Код
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О чём код?
<script lang="ts"> import { toast } from 'svelte-sonner'; import { onMount, getContext, createEventDispatcher } from 'svelte'; const dispatch = createEventDispatcher(); import { getQuerySettings, updateQuerySettings, resetVectorDB, getEmbeddingConfig, updateEmbeddingConfig, getRerankingConfig, updateRerankingConfig, resetUploadDir, getRAGConfig, updateRAGConfig } from '$lib/apis/retrieval'; import { knowledge, models } from '$lib/stores'; import { getKnowledgeBases } from '$lib/apis/knowledge'; import { uploadDir, deleteAllFiles, deleteFileById } from '$lib/apis/files'; import ResetUploadDirConfirmDialog from '$lib/components/common/ConfirmDialog.svelte'; import ResetVectorDBConfirmDialog from '$lib/components/common/ConfirmDialog.svelte'; import SensitiveInput from '$lib/components/common/SensitiveInput.svelte'; import Tooltip from '$lib/components/common/Tooltip.svelte'; import Switch from '$lib/components/common/Switch.svelte'; import Textarea from '$lib/components/common/Textarea.svelte'; const i18n = getContext('i18n'); let scanDirLoading = false; let updateEmbeddingModelLoading = false; let updateRerankingModelLoading = false; let showResetConfirm = false; let showResetUploadDirConfirm = false; let embeddingEngine = ''; let embeddingModel = ''; let embeddingBatchSize = 1; let rerankingModel = ''; let fileMaxSize = null; let fileMaxCount = null; let contentExtractionEngine = 'default'; let tikaServerUrl = ''; let showTikaServerUrl = false; let documentIntelligenceEndpoint = ''; let documentIntelligenceKey = ''; let showDocumentIntelligenceConfig = false; let textSplitter = ''; let chunkSize = 0; let chunkOverlap = 0; let pdfExtractImages = true; let RAG_FULL_CONTEXT = false; let BYPASS_EMBEDDING_AND_RETRIEVAL = false; let enableGoogleDriveIntegration = false; let enableOneDriveIntegration = false; let OpenAIUrl = ''; let OpenAIKey = ''; let OllamaUrl = ''; let OllamaKey = ''; let querySettings = { template: '', r: 0.0, k: 4, hybrid: false }; const embeddingModelUpdateHandler = async () => { if (embeddingEngine === '' && embeddingModel.split('/').length - 1 > 1) { toast.error( $i18n.t( 'Model filesystem path detected. Model shortname is required for update, cannot continue.' ) ); return; } if (embeddingEngine === 'ollama' && embeddingModel === '') { toast.error( $i18n.t( 'Model filesystem path detected. Model shortname is required for update, cannot continue.' ) ); return; } if (embeddingEngine === 'openai' && embeddingModel === '') { toast.error( $i18n.t( 'Model filesystem path detected. Model shortname is required for update, cannot continue.' ) ); return; } if ((embeddingEngine === 'openai' && OpenAIKey === '') || OpenAIUrl === '') { toast.error($i18n.t('OpenAI URL/Key required.')); return; } console.log('Update embedding model attempt:', embeddingModel); updateEmbeddingModelLoading = true; const res = await updateEmbeddingConfig(localStorage.token, { embedding_engine: embeddingEngine, embedding_model: embeddingModel, embedding_batch_size: embeddingBatchSize, ollama_config: { key: OllamaKey, url: OllamaUrl }, openai_config: { key: OpenAIKey, url: OpenAIUrl } }).catch(async (error) => { toast.error(`${error}`); await setEmbeddingConfig(); return null; }); updateEmbeddingModelLoading = false; if (res) { console.log('embeddingModelUpdateHandler:', res); if (res.status === true) { toast.success($i18n.t('Embedding model set to "{{embedding_model}}"', res), { duration: 1000 * 10 }); } } }; const rerankingModelUpdateHandler = async () => { console.log('Update reranking model attempt:', rerankingModel); updateRerankingModelLoading = true; const res = await updateRerankingConfig(localStorage.token, { reranking_model: rerankingModel }).catch(async (error) => { toast.error(`${error}`); await setRerankingConfig(); return null; }); updateRerankingModelLoading = false; if (res) { console.log('rerankingModelUpdateHandler:', res); if (res.status === true) { if (rerankingModel === '') { toast.success($i18n.t('Reranking model disabled', res), { duration: 1000 * 10 }); } else { toast.success($i18n.t('Reranking model set to "{{reranking_model}}"', res), { duration: 1000 * 10 }); } } } }; const submitHandler = async () => { if (contentExtractionEngine === 'tika' && tikaServerUrl === '') { toast.error($i18n.t('Tika Server URL required.')); return; } if ( contentExtractionEngine === 'document_intelligence' && (documentIntelligenceEndpoint === '' || documentIntelligenceKey === '') ) { toast.error($i18n.t('Document Intelligence endpoint and key required.')); return; } if (!BYPASS_EMBEDDING_AND_RETRIEVAL) { await embeddingModelUpdateHandler(); if (querySettings.hybrid) { await rerankingModelUpdateHandler(); } } const res = await updateRAGConfig(localStorage.token, { pdf_extract_images: pdfExtractImages, enable_google_drive_integration: enableGoogleDriveIntegration, enable_onedrive_integration: enableOneDriveIntegration, file: { max_size: fileMaxSize === '' ? null : fileMaxSize, max_count: fileMaxCount === '' ? null : fileMaxCount }, RAG_FULL_CONTEXT: RAG_FULL_CONTEXT, BYPASS_EMBEDDING_AND_RETRIEVAL: BYPASS_EMBEDDING_AND_RETRIEVAL, chunk: { text_splitter: textSplitter, chunk_overlap: chunkOverlap, chunk_size: chunkSize }, content_extraction: { engine: contentExtractionEngine, tika_server_url: tikaServerUrl, document_intelligence_config: { key: documentIntelligenceKey, endpoint: documentIntelligenceEndpoint } } }); await updateQuerySettings(localStorage.token, querySettings); dispatch('save'); }; const setEmbeddingConfig = async () => { const embeddingConfig = await getEmbeddingConfig(localStorage.token); if (embeddingConfig) { embeddingEngine = embeddingConfig.embedding_engine; embeddingModel = embeddingConfig.embedding_model; embeddingBatchSize = embeddingConfig.embedding_batch_size ?? 1; OpenAIKey = embeddingConfig.openai_config.key; OpenAIUrl = embeddingConfig.openai_config.url; OllamaKey = embeddingConfig.ollama_config.key; OllamaUrl = embeddingConfig.ollama_config.url; } }; const setRerankingConfig = async () => { const rerankingConfig = await getRerankingConfig(localStorage.token); if (rerankingConfig) { rerankingModel = rerankingConfig.reranking_model; } }; const toggleHybridSearch = async () => { querySettings = await updateQuerySettings(localStorage.token, querySettings); }; onMount(async () => { await setEmbeddingConfig(); await setRerankingConfig(); querySettings = await getQuerySettings(localStorage.token); const res = await getRAGConfig(localStorage.token); if (res) { pdfExtractImages = res.pdf_extract_images; textSplitter = res.chunk.text_splitter; chunkSize = res.chunk.chunk_size; chunkOverlap = res.chunk.chunk_overlap; RAG_FULL_CONTEXT = res.RAG_FULL_CONTEXT; BYPASS_EMBEDDING_AND_RETRIEVAL = res.BYPASS_EMBEDDING_AND_RETRIEVAL; contentExtractionEngine = res.content_extraction.engine; tikaServerUrl = res.content_extraction.tika_server_url; showTikaServerUrl = contentExtractionEngine === 'tika'; documentIntelligenceEndpoint = res.content_extraction.document_intelligence_config.endpoint; documentIntelligenceKey = res.content_extraction.document_intelligence_config.key; showDocumentIntelligenceConfig = contentExtractionEngine === 'document_intelligence'; fileMaxSize = res?.file.max_size ?? ''; fileMaxCount = res?.file.max_count ?? ''; enableGoogleDriveIntegration = res.enable_google_drive_integration; enableOneDriveIntegration = res.enable_onedrive_integration; } }); </script> <ResetUploadDirConfirmDialog bind:show={showResetUploadDirConfirm} on:confirm={async () => { const res = await deleteAllFiles(localStorage.token).catch((error) => { toast.error(`${error}`); return null; }); if (res) { toast.success($i18n.t('Success')); } }} /> <ResetVectorDBConfirmDialog bind:show={showResetConfirm} on:confirm={() => { const res = resetVectorDB(localStorage.token).catch((error) => { toast.error(`${error}`); return null; }); if (res) { toast.success($i18n.t('Success')); } }} /> <form class="flex flex-col h-full justify-between space-y-3 text-sm" on:submit|preventDefault={() => { submitHandler(); }} > <div class=" space-y-2.5 overflow-y-scroll scrollbar-hidden h-full pr-1.5"> <div class=""> <div class="mb-3"> <div class=" mb-2.5 text-base font-medium">{$i18n.t('General')}</div> <hr class=" border-gray-100 dark:border-gray-850 my-2" /> <div class=" mb-2.5 flex flex-col w-full justify-between"> <div class="flex w-full justify-between"> <div class=" self-center text-xs font-medium"> {$i18n.t('Content Extraction Engine')} </div> <div class=""> <select class="dark:bg-gray-900 w-fit pr-8 rounded-sm px-2 text-xs bg-transparent outline-hidden text-right" bind:value={contentExtractionEngine} > <option value="">{$i18n.t('Default')} </option> <option value="tika">{$i18n.t('Tika')}</option> <option value="document_intelligence">{$i18n.t('Document Intelligence')}</option> </select> </div> </div> {#if contentExtractionEngine === 'tika'} <div class="flex w-full mt-1"> <div class="flex-1 mr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" placeholder={$i18n.t('Enter Tika Server URL')} bind:value={tikaServerUrl} /> </div> </div> {:else if contentExtractionEngine === 'document_intelligence'} <div class="my-0.5 flex gap-2 pr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" placeholder={$i18n.t('Enter Document Intelligence Endpoint')} bind:value={documentIntelligenceEndpoint} /> <SensitiveInput placeholder={$i18n.t('Enter Document Intelligence Key')} bind:value={documentIntelligenceKey} /> </div> {/if} </div> {#if contentExtractionEngine === ''} <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium"> {$i18n.t('PDF Extract Images (OCR)')} </div> <div class="flex items-center relative"> <Switch bind:state={pdfExtractImages} /> </div> </div> {/if} <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium"> <Tooltip content={$i18n.t('Full Context Mode')} placement="top-start"> {$i18n.t('Bypass Embedding and Retrieval')} </Tooltip> </div> <div class="flex items-center relative"> <Tooltip content={BYPASS_EMBEDDING_AND_RETRIEVAL ? 'Inject the entire content as context for comprehensive processing, this is recommended for complex queries.' : 'Default to segmented retrieval for focused and relevant content extraction, this is recommended for most cases.'} > <Switch bind:state={BYPASS_EMBEDDING_AND_RETRIEVAL} /> </Tooltip> </div> </div> {#if !BYPASS_EMBEDDING_AND_RETRIEVAL} <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Text Splitter')}</div> <div class="flex items-center relative"> <select class="dark:bg-gray-900 w-fit pr-8 rounded-sm px-2 text-xs bg-transparent outline-hidden text-right" bind:value={textSplitter} > <option value="">{$i18n.t('Default')} ({$i18n.t('Character')})</option> <option value="token">{$i18n.t('Token')} ({$i18n.t('Tiktoken')})</option> </select> </div> </div> <div class=" mb-2.5 flex w-full justify-between"> <div class=" flex gap-1.5 w-full"> <div class=" w-full justify-between"> <div class="self-center text-xs font-medium min-w-fit mb-1"> {$i18n.t('Chunk Size')} </div> <div class="self-center"> <input class=" w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-hidden" type="number" placeholder={$i18n.t('Enter Chunk Size')} bind:value={chunkSize} autocomplete="off" min="0" /> </div> </div> <div class="w-full"> <div class=" self-center text-xs font-medium min-w-fit mb-1"> {$i18n.t('Chunk Overlap')} </div> <div class="self-center"> <input class="w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-hidden" type="number" placeholder={$i18n.t('Enter Chunk Overlap')} bind:value={chunkOverlap} autocomplete="off" min="0" /> </div> </div> </div> </div> {/if} </div> {#if !BYPASS_EMBEDDING_AND_RETRIEVAL} <div class="mb-3"> <div class=" mb-2.5 text-base font-medium">{$i18n.t('Embedding')}</div> <hr class=" border-gray-100 dark:border-gray-850 my-2" /> <div class=" mb-2.5 flex flex-col w-full justify-between"> <div class="flex w-full justify-between"> <div class=" self-center text-xs font-medium"> {$i18n.t('Embedding Model Engine')} </div> <div class="flex items-center relative"> <select class="dark:bg-gray-900 w-fit pr-8 rounded-sm px-2 p-1 text-xs bg-transparent outline-hidden text-right" bind:value={embeddingEngine} placeholder="Select an embedding model engine" on:change={(e) => { if (e.target.value === 'ollama') { embeddingModel = ''; } else if (e.target.value === 'openai') { embeddingModel = 'text-embedding-3-small'; } else if (e.target.value === '') { embeddingModel = 'sentence-transformers/all-MiniLM-L6-v2'; } }} > <option value="">{$i18n.t('Default (SentenceTransformers)')}</option> <option value="ollama">{$i18n.t('Ollama')}</option> <option value="openai">{$i18n.t('OpenAI')}</option> </select> </div> </div> {#if embeddingEngine === 'openai'} <div class="my-0.5 flex gap-2 pr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" placeholder={$i18n.t('API Base URL')} bind:value={OpenAIUrl} required /> <SensitiveInput placeholder={$i18n.t('API Key')} bind:value={OpenAIKey} /> </div> {:else if embeddingEngine === 'ollama'} <div class="my-0.5 flex gap-2 pr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" placeholder={$i18n.t('API Base URL')} bind:value={OllamaUrl} required /> <SensitiveInput placeholder={$i18n.t('API Key')} bind:value={OllamaKey} required={false} /> </div> {/if} </div> <div class=" mb-2.5 flex flex-col w-full"> <div class=" mb-1 text-xs font-medium">{$i18n.t('Embedding Model')}</div> <div class=""> {#if embeddingEngine === 'ollama'} <div class="flex w-full"> <div class="flex-1 mr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" bind:value={embeddingModel} placeholder={$i18n.t('Set embedding model')} required /> </div> </div> {:else} <div class="flex w-full"> <div class="flex-1 mr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" placeholder={$i18n.t('Set embedding model (e.g. {{model}})', { model: embeddingModel.slice(-40) })} bind:value={embeddingModel} /> </div> {#if embeddingEngine === ''} <button class="px-2.5 bg-transparent text-gray-800 dark:bg-transparent dark:text-gray-100 rounded-lg transition" on:click={() => { embeddingModelUpdateHandler(); }} disabled={updateEmbeddingModelLoading} > {#if updateEmbeddingModelLoading} <div class="self-center"> <svg class=" w-4 h-4" viewBox="0 0 24 24" fill="currentColor" xmlns="http://www.w3.org/2000/svg" > <style> .spinner_ajPY { transform-origin: center; animation: spinner_AtaB 0.75s infinite linear; } @keyframes spinner_AtaB { 100% { transform: rotate(360deg); } } </style> <path d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z" opacity=".25" /> <path d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z" class="spinner_ajPY" /> </svg> </div> {:else} <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" fill="currentColor" class="w-4 h-4" > <path d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z" /> <path d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z" /> </svg> {/if} </button> {/if} </div> {/if} </div> <div class="mt-1 mb-1 text-xs text-gray-400 dark:text-gray-500"> {$i18n.t( 'Warning: If you update or change your embedding model, you will need to re-import all documents.' )} </div> </div> {#if embeddingEngine === 'ollama' || embeddingEngine === 'openai'} <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Embedding Batch Size')}</div> <div class=""> <input bind:value={embeddingBatchSize} type="number" class=" bg-transparent text-center w-14 outline-none" min="-2" max="16000" step="1" /> </div> </div> {/if} <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Full Context Mode')}</div> <div class="flex items-center relative"> <Tooltip content={RAG_FULL_CONTEXT ? 'Inject entire contents as context for comprehensive processing, this is recommended for complex queries.' : 'Default to segmented retrieval for focused and relevant content extraction, this is recommended for most cases.'} > <Switch bind:state={RAG_FULL_CONTEXT} /> </Tooltip> </div> </div> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Hybrid Search')}</div> <div class="flex items-center relative"> <Switch bind:state={querySettings.hybrid} on:change={() => { toggleHybridSearch(); }} /> </div> </div> {#if querySettings.hybrid === true} <div class=" mb-2.5 flex flex-col w-full"> <div class=" mb-1 text-xs font-medium">{$i18n.t('Reranking Model')}</div> <div class=""> <div class="flex w-full"> <div class="flex-1 mr-2"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" placeholder={$i18n.t('Set reranking model (e.g. {{model}})', { model: 'BAAI/bge-reranker-v2-m3' })} bind:value={rerankingModel} /> </div> <button class="px-2.5 bg-transparent text-gray-800 dark:bg-transparent dark:text-gray-100 rounded-lg transition" on:click={() => { rerankingModelUpdateHandler(); }} disabled={updateRerankingModelLoading} > {#if updateRerankingModelLoading} <div class="self-center"> <svg class=" w-4 h-4" viewBox="0 0 24 24" fill="currentColor" xmlns="http://www.w3.org/2000/svg" > <style> .spinner_ajPY { transform-origin: center; animation: spinner_AtaB 0.75s infinite linear; } @keyframes spinner_AtaB { 100% { transform: rotate(360deg); } } </style> <path d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z" opacity=".25" /> <path d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z" class="spinner_ajPY" /> </svg> </div> {:else} <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" fill="currentColor" class="w-4 h-4" > <path d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z" /> <path d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z" /> </svg> {/if} </button> </div> </div> </div> {/if} </div> <div class="mb-3"> <div class=" mb-2.5 text-base font-medium">{$i18n.t('Retrieval')}</div> <hr class=" border-gray-100 dark:border-gray-850 my-2" /> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Top K')}</div> <div class="flex items-center relative"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" type="number" placeholder={$i18n.t('Enter Top K')} bind:value={querySettings.k} autocomplete="off" min="0" /> </div> </div> {#if querySettings.hybrid === true} <div class=" mb-2.5 flex flex-col w-full justify-between"> <div class=" flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Minimum Score')}</div> <div class="flex items-center relative"> <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" type="number" step="0.01" placeholder={$i18n.t('Enter Score')} bind:value={querySettings.r} autocomplete="off" min="0.0" title={$i18n.t('The score should be a value between 0.0 (0%) and 1.0 (100%).')} /> </div> </div> <div class="mt-1 text-xs text-gray-400 dark:text-gray-500"> {$i18n.t( 'Note: If you set a minimum score, the search will only return documents with a score greater than or equal to the minimum score.' )} </div> </div> {/if} <div class=" mb-2.5 flex flex-col w-full justify-between"> <div class=" mb-1 text-xs font-medium">{$i18n.t('RAG Template')}</div> <div class="flex w-full items-center relative"> <Tooltip content={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')} placement="top-start" className="w-full" > <Textarea bind:value={querySettings.template} placeholder={$i18n.t( 'Leave empty to use the default prompt, or enter a custom prompt' )} /> </Tooltip> </div> </div> </div> {/if} <div class="mb-3"> <div class=" mb-2.5 text-base font-medium">{$i18n.t('Files')}</div> <hr class=" border-gray-100 dark:border-gray-850 my-2" /> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Max Upload Size')}</div> <div class="flex items-center relative"> <Tooltip content={$i18n.t( 'The maximum file size in MB. If the file size exceeds this limit, the file will not be uploaded.' )} placement="top-start" > <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" type="number" placeholder={$i18n.t('Leave empty for unlimited')} bind:value={fileMaxSize} autocomplete="off" min="0" /> </Tooltip> </div> </div> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Max Upload Count')}</div> <div class="flex items-center relative"> <Tooltip content={$i18n.t( 'The maximum number of files that can be used at once in chat. If the number of files exceeds this limit, the files will not be uploaded.' )} placement="top-start" > <input class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden" type="number" placeholder={$i18n.t('Leave empty for unlimited')} bind:value={fileMaxCount} autocomplete="off" min="0" /> </Tooltip> </div> </div> </div> <div class="mb-3"> <div class=" mb-2.5 text-base font-medium">{$i18n.t('Integration')}</div> <hr class=" border-gray-100 dark:border-gray-850 my-2" /> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Google Drive')}</div> <div class="flex items-center relative"> <Switch bind:state={enableGoogleDriveIntegration} /> </div> </div> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('OneDrive')}</div> <div class="flex items-center relative"> <Switch bind:state={enableOneDriveIntegration} /> </div> </div> </div> <div class="mb-3"> <div class=" mb-2.5 text-base font-medium">{$i18n.t('Danger Zone')}</div> <hr class=" border-gray-100 dark:border-gray-850 my-2" /> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium">{$i18n.t('Reset Upload Directory')}</div> <div class="flex items-center relative"> <button class="text-xs" on:click={() => { showResetUploadDirConfirm = true; }} > {$i18n.t('Reset')} </button> </div> </div> <div class=" mb-2.5 flex w-full justify-between"> <div class=" self-center text-xs font-medium"> {$i18n.t('Reset Vector Storage/Knowledge')} </div> <div class="flex items-center relative"> <button class="text-xs" on:click={() => { showResetConfirm = true; }} > {$i18n.t('Reset')} </button> </div> </div> </div> </div> </div> <div class="flex justify-end pt-3 text-sm font-medium"> <button class="px-3.5 py-1.5 text-sm font-medium bg-black hover:bg-gray-900 text-white dark:bg-white dark:text-black dark:hover:bg-gray-100 transition rounded-full" type="submit" > {$i18n.t('Save')} </button> </div> </form>