235 lines
8.3 KiB
TypeScript
235 lines
8.3 KiB
TypeScript
import { Fragment, useCallback, useEffect } from 'react'
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import { Tooltip, Switch, Input } from '@janhq/joi'
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import { useAtom, useAtomValue } from 'jotai'
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import { InfoIcon } from 'lucide-react'
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import { useCreateNewThread } from '@/hooks/useCreateNewThread'
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import useRecommendedModel from '@/hooks/useRecommendedModel'
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import AssistantSetting from '@/screens/Thread/ThreadCenterPanel/AssistantSetting'
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import { getConfigurationsData } from '@/utils/componentSettings'
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import { experimentalFeatureEnabledAtom } from '@/helpers/atoms/AppConfig.atom'
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import { activeAssistantAtom } from '@/helpers/atoms/Assistant.atom'
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import { selectedModelAtom } from '@/helpers/atoms/Model.atom'
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import { activeThreadAtom } from '@/helpers/atoms/Thread.atom'
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const Tools = () => {
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const experimentalFeature = useAtomValue(experimentalFeatureEnabledAtom)
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const activeThread = useAtomValue(activeThreadAtom)
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const activeAssistant = useAtomValue(activeAssistantAtom)
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const [selectedModel, setSelectedModel] = useAtom(selectedModelAtom)
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const { updateThreadMetadata } = useCreateNewThread()
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const { recommendedModel, downloadedModels } = useRecommendedModel()
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const componentDataAssistantSetting = getConfigurationsData(
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(activeAssistant?.tools && activeAssistant?.tools[0]?.settings) ?? {}
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)
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useEffect(() => {
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if (!activeThread) return
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const model = downloadedModels.find(
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(model) => model.id === activeAssistant?.model.id
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)
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setSelectedModel(model)
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}, [
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recommendedModel,
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activeThread,
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downloadedModels,
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setSelectedModel,
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activeAssistant?.model.id,
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])
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const onRetrievalSwitchUpdate = useCallback(
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(enabled: boolean) => {
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if (!activeThread || !activeAssistant) return
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updateThreadMetadata({
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...activeThread,
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assistants: [
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{
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...activeAssistant,
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tools: [
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{
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type: 'retrieval',
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enabled: enabled,
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settings:
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(activeAssistant.tools &&
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activeAssistant.tools[0]?.settings) ??
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{},
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},
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],
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},
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],
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})
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},
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[activeAssistant, activeThread, updateThreadMetadata]
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)
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const onTimeWeightedRetrieverSwitchUpdate = useCallback(
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(enabled: boolean) => {
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if (!activeThread || !activeAssistant) return
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updateThreadMetadata({
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...activeThread,
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assistants: [
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{
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...activeAssistant,
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tools: [
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{
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type: 'retrieval',
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enabled: true,
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useTimeWeightedRetriever: enabled,
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settings:
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(activeAssistant.tools &&
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activeAssistant.tools[0]?.settings) ??
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{},
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},
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],
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},
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],
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})
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},
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[activeAssistant, activeThread, updateThreadMetadata]
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)
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if (!experimentalFeature) return null
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return (
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<Fragment>
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{activeAssistant?.tools && componentDataAssistantSetting.length > 0 && (
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<div className="p-4">
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<div className="mb-2">
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<div className="flex items-center justify-between">
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<label
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id="retrieval"
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className="inline-flex items-center font-medium"
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>
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Retrieval
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<Tooltip
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trigger={
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<InfoIcon
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size={16}
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className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
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/>
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}
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content="Retrieval helps the assistant use information from
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files you send to it. Once you share a file, the
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assistant automatically fetches the relevant content
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based on your request."
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/>
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</label>
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<div className="flex items-center justify-between">
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<Switch
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name="retrieval"
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checked={activeAssistant?.tools[0].enabled}
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onChange={(e) => onRetrievalSwitchUpdate(e.target.checked)}
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/>
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</div>
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</div>
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</div>
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{activeAssistant?.tools[0].enabled && (
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<div className="pb-4 pt-2">
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<div className="mb-4">
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<div className="item-center mb-2 flex">
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<label
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id="embedding-model"
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className="inline-flex font-medium"
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>
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Embedding Model
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</label>
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<Tooltip
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trigger={
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<InfoIcon
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size={16}
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className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
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/>
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}
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content="Embedding model is crucial for understanding and
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processing the input text effectively by
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converting text to numerical representations.
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Align the model choice with your task, evaluate
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its performance, and consider factors like
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resource availability. Experiment to find the best
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fit for your specific use case."
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/>
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</div>
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<div className="w-full">
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<Input value={selectedModel?.name || ''} disabled readOnly />
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</div>
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</div>
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<div className="mb-4">
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<div className="mb-2 flex items-center">
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<label
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id="vector-database"
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className="inline-flex items-center font-medium"
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>
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Vector Database
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<Tooltip
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trigger={
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<InfoIcon
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size={16}
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className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
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/>
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}
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content="Vector Database is crucial for efficient storage
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and retrieval of embeddings. Consider your
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specific task, available resources, and language
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requirements. Experiment to find the best fit for
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your specific use case."
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/>
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</label>
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</div>
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<div className="w-full">
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<Input value="HNSWLib" disabled readOnly />
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</div>
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</div>
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<div className="mb-4">
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<div className="mb-2 flex items-center">
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<label
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id="use-time-weighted-retriever"
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className="inline-block font-medium"
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>
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Time-Weighted Retrieval?
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</label>
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<Tooltip
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trigger={
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<InfoIcon
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size={16}
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className="ml-2 flex-shrink-0 text-[hsl(var(--text-secondary))]"
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/>
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}
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content="Time-Weighted Retriever looks at how similar
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they are and how new they are. It compares
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documents based on their meaning like usual, but
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also considers when they were added to give
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newer ones more importance."
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/>
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<div className="ml-auto flex items-center justify-between">
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<Switch
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name="use-time-weighted-retriever"
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checked={
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activeAssistant?.tools[0].useTimeWeightedRetriever ||
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false
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}
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onChange={(e) =>
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onTimeWeightedRetrieverSwitchUpdate(e.target.checked)
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}
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/>
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</div>
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</div>
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</div>
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<AssistantSetting componentData={componentDataAssistantSetting} />
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</div>
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)}
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</div>
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)}
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</Fragment>
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)
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}
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export default Tools
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