17020e8755
- 新增数联网设置页面 - 优化数联网搜索结果展示 - 添加数据集、科创场景和科技企业等不同类型的搜索结果 - 重构搜索结果卡片组件，支持加载状态和不同展示模式 - 更新数联网搜索相关的国际化文案
1506 lines
42 KiB
TypeScript
1506 lines
42 KiB
TypeScript
import React from "react"
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import { cleanUrl } from "~/libs/clean-url"
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import {
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defaultEmbeddingModelForRag,
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getOllamaURL,
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geWebSearchFollowUpPrompt,
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promptForRag,
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systemPromptForNonRagOption
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} from "~/services/ollama"
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import type { ChatHistory, Message, MeteringEntry } from "~/store/option"
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import { useStoreMessageOption } from "~/store/option"
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import { SystemMessage } from "@langchain/core/messages"
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import {
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deleteChatForEdit,
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generateID,
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getPromptById,
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removeMessageUsingHistoryId,
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updateMessageByIndex
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} from "@/db"
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import { useNavigate } from "react-router-dom"
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import { notification } from "antd"
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import { getSystemPromptForWeb } from "~/web/web"
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import { tokenizeInput } from "~/web/iod"
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import { generateHistory } from "@/utils/generate-history"
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import { useTranslation } from "react-i18next"
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import {
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saveMessageOnError as saveError,
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saveMessageOnSuccess as saveSuccess
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} from "./chat-helper"
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import { usePageAssist } from "@/context"
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import { PageAssistVectorStore } from "@/libs/PageAssistVectorStore"
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import { formatDocs } from "@/chain/chat-with-x"
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import { useWebUI } from "@/store/webui"
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import { useStorage } from "@plasmohq/storage/hook"
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import { useStoreChatModelSettings } from "@/store/model"
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import { getAllDefaultModelSettings } from "@/services/model-settings"
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import { pageAssistModel } from "@/models"
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import { getNoOfRetrievedDocs } from "@/services/app"
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import { humanMessageFormatter } from "@/utils/human-message"
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import { pageAssistEmbeddingModel } from "@/models/embedding"
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import {
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isReasoningEnded,
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isReasoningStarted,
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mergeReasoningContent,
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removeReasoning
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} from "@/libs/reasoning"
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import { getDefaultIodSources } from "@/libs/iod.ts"
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export const useMessageOption = () => {
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const {
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controller: abortController,
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setController: setAbortController,
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iodLoading,
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setIodLoading,
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currentMessageId,
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setCurrentMessageId,
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messages,
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setMessages,
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} = usePageAssist()
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const {
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history,
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setHistory,
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meteringEntries,
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setMeteringEntries,
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setCurrentMeteringEntry,
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setStreaming,
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streaming,
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setIsFirstMessage,
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historyId,
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setHistoryId,
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isLoading,
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setIsLoading,
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isProcessing,
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setIsProcessing,
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chatMode,
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setChatMode,
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webSearch,
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setWebSearch,
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iodSearch,
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setIodSearch,
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isSearchingInternet,
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setIsSearchingInternet,
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selectedQuickPrompt,
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setSelectedQuickPrompt,
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selectedSystemPrompt,
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setSelectedSystemPrompt,
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selectedKnowledge,
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setSelectedKnowledge,
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temporaryChat,
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setTemporaryChat,
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useOCR,
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setUseOCR
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} = useStoreMessageOption()
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const currentChatModelSettings = useStoreChatModelSettings()
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const [selectedModel, setSelectedModel] = useStorage("selectedModel")
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const [defaultInternetSearchOn] = useStorage("defaultInternetSearchOn", false)
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const [speechToTextLanguage, setSpeechToTextLanguage] = useStorage(
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"speechToTextLanguage",
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"en-US"
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)
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const { ttsEnabled } = useWebUI()
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const { t } = useTranslation("option")
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const navigate = useNavigate()
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const textareaRef = React.useRef<HTMLTextAreaElement>(null)
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const clearChat = () => {
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navigate("/")
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setMessages([])
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setHistory([])
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setHistoryId(null)
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setIsFirstMessage(true)
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setIsLoading(false)
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setIsProcessing(false)
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setStreaming(false)
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currentChatModelSettings.reset()
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setIodLoading(false)
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setCurrentMessageId("")
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textareaRef?.current?.focus()
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if (defaultInternetSearchOn) {
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setWebSearch(true)
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}
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}
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// 从最后的结果中解析出 思维链 (Chain-of-Thought) 和 结果
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const responseResolver = (msg: string) => {
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const cotStart = msg.indexOf("<think>")
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const cotEnd = msg.indexOf("</think>")
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let cot = ""
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let content = ""
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if (cotStart > -1 && cotEnd > -1) {
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cot = msg.substring(cotStart + 7, cotEnd)
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content = msg.substring(cotEnd + 8)
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} else {
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content = msg
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}
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// 去掉换行符
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cot = cot.replace(/\n/g, "")
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content = content.replace(/\n/g, "")
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return {
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cot: cot,
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content
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}
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}
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const searchChatMode = async (
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webSearch: boolean,
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iodSearch: boolean,
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message: string,
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image: string,
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isRegenerate: boolean,
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messages: Message[],
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history: ChatHistory,
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signal: AbortSignal
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) => {
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const url = await getOllamaURL()
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const userDefaultModelSettings = await getAllDefaultModelSettings()
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if (image.length > 0) {
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image = `data:image/jpeg;base64,${image.split(",")[1]}`
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}
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const ollama = await pageAssistModel({
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model: selectedModel!,
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baseUrl: cleanUrl(url),
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keepAlive:
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currentChatModelSettings?.keepAlive ??
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userDefaultModelSettings?.keepAlive,
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temperature:
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currentChatModelSettings?.temperature ??
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userDefaultModelSettings?.temperature,
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topK: currentChatModelSettings?.topK ?? userDefaultModelSettings?.topK,
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topP: currentChatModelSettings?.topP ?? userDefaultModelSettings?.topP,
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numCtx:
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currentChatModelSettings?.numCtx ?? userDefaultModelSettings?.numCtx,
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seed: currentChatModelSettings?.seed,
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numGpu:
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currentChatModelSettings?.numGpu ?? userDefaultModelSettings?.numGpu,
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numPredict:
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currentChatModelSettings?.numPredict ??
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userDefaultModelSettings?.numPredict,
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useMMap:
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currentChatModelSettings?.useMMap ?? userDefaultModelSettings?.useMMap,
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minP: currentChatModelSettings?.minP ?? userDefaultModelSettings?.minP,
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repeatLastN:
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currentChatModelSettings?.repeatLastN ??
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userDefaultModelSettings?.repeatLastN,
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repeatPenalty:
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currentChatModelSettings?.repeatPenalty ??
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userDefaultModelSettings?.repeatPenalty,
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tfsZ: currentChatModelSettings?.tfsZ ?? userDefaultModelSettings?.tfsZ,
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numKeep:
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currentChatModelSettings?.numKeep ?? userDefaultModelSettings?.numKeep,
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numThread:
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currentChatModelSettings?.numThread ??
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userDefaultModelSettings?.numThread,
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useMlock:
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currentChatModelSettings?.useMlock ?? userDefaultModelSettings?.useMlock
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})
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let newMessage: Message[] = []
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let generateMessageId = generateID()
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setCurrentMessageId(generateMessageId)
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const meter: MeteringEntry = {
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id: generateMessageId,
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queryContent: message,
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date: new Date().getTime()
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} as MeteringEntry
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setCurrentMeteringEntry({
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loading: true,
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data: meter
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})
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if (!isRegenerate) {
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newMessage = [
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...messages,
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{
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isBot: false,
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name: "You",
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message,
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webSources: [],
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iodSources: getDefaultIodSources(),
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images: [image]
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},
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{
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isBot: true,
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name: selectedModel,
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message: "",
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webSources: [],
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iodSources: getDefaultIodSources(),
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id: generateMessageId
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}
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]
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} else {
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newMessage = [
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...messages,
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{
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isBot: true,
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name: selectedModel,
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message: "▋",
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webSources: [],
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iodSources: getDefaultIodSources(),
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id: generateMessageId
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}
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]
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}
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setMessages(newMessage)
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let fullText = ""
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let contentToSave = ""
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let timetaken = 0
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try {
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setIsSearchingInternet(true)
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let query = message
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let keywords: string[] = []
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if (newMessage.length > 2) {
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let questionPrompt = await geWebSearchFollowUpPrompt()
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const lastTenMessages = newMessage.slice(-10)
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lastTenMessages.pop()
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const chat_history = lastTenMessages
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.map((message) => {
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return `${message.isBot ? "Assistant: " : "Human: "}${message.message}`
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})
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.join("\n")
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const promptForQuestion = questionPrompt
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.replaceAll("{chat_history}", chat_history)
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.replaceAll("{question}", message)
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const questionOllama = await pageAssistModel({
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model: selectedModel!,
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baseUrl: cleanUrl(url),
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keepAlive:
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currentChatModelSettings?.keepAlive ??
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userDefaultModelSettings?.keepAlive,
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temperature:
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currentChatModelSettings?.temperature ??
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userDefaultModelSettings?.temperature,
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topK:
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currentChatModelSettings?.topK ?? userDefaultModelSettings?.topK,
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topP:
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currentChatModelSettings?.topP ?? userDefaultModelSettings?.topP,
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numCtx:
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currentChatModelSettings?.numCtx ??
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userDefaultModelSettings?.numCtx,
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seed: currentChatModelSettings?.seed,
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numGpu:
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currentChatModelSettings?.numGpu ??
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userDefaultModelSettings?.numGpu,
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numPredict:
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currentChatModelSettings?.numPredict ??
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userDefaultModelSettings?.numPredict,
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useMMap:
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currentChatModelSettings?.useMMap ??
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userDefaultModelSettings?.useMMap,
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minP:
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currentChatModelSettings?.minP ?? userDefaultModelSettings?.minP,
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repeatLastN:
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currentChatModelSettings?.repeatLastN ??
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userDefaultModelSettings?.repeatLastN,
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repeatPenalty:
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currentChatModelSettings?.repeatPenalty ??
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userDefaultModelSettings?.repeatPenalty,
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tfsZ:
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currentChatModelSettings?.tfsZ ?? userDefaultModelSettings?.tfsZ,
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numKeep:
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currentChatModelSettings?.numKeep ??
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userDefaultModelSettings?.numKeep,
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numThread:
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currentChatModelSettings?.numThread ??
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userDefaultModelSettings?.numThread,
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useMlock:
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currentChatModelSettings?.useMlock ??
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userDefaultModelSettings?.useMlock
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})
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const response = await questionOllama.invoke(promptForQuestion)
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query = response.content.toString()
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query = removeReasoning(query)
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}
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// Currently only IoD search use keywords
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if (iodSearch) {
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// Extract keywords
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console.log(
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"query:" + query + " --> " + JSON.stringify(tokenizeInput(query))
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)
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keywords = tokenizeInput(query)
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/*
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const questionPrompt = await geWebSearchKeywordsPrompt()
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const promptForQuestion = questionPrompt.replaceAll("{query}", query)
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const response = await ollama.invoke(promptForQuestion)
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let res = response.content.toString()
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res = removeReasoning(res)
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keywords = res
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.replace(/^Keywords:/i, "")
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.replace(/^关键词:/i, "")
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.replace(/^：/i, "")
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.replace(/^:/i, "")
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.replaceAll(" ", "")
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.split(",")
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.map((k) => k.trim())
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*/
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}
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const {
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prompt,
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webSources,
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iodSources,
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iodSearchResults: iodData,
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iodTokenCount
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} = await getSystemPromptForWeb(query, keywords, webSearch, iodSearch)
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setIodLoading(false)
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console.log("prompt:\n" + prompt)
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setIsSearchingInternet(false)
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meter.prompt = prompt
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meter.iodKeywords = keywords
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meter.iodData = Object.values(iodData).flat()
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meter.iodTokenCount = iodTokenCount
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setMessages((prev) => {
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return prev.map((message) => {
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if (message.id === generateMessageId) {
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return {
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...message,
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webSources,
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iodSources,
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}
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}
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return message
|
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})
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})
|
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|
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// message = message.trim().replaceAll("\n", " ")
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let humanMessage = await humanMessageFormatter({
|
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content: [
|
||
{
|
||
text: message,
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type: "text"
|
||
}
|
||
],
|
||
model: selectedModel,
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useOCR: useOCR
|
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})
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if (image.length > 0) {
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humanMessage = await humanMessageFormatter({
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content: [
|
||
{
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||
text: message,
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type: "text"
|
||
},
|
||
{
|
||
image_url: image,
|
||
type: "image_url"
|
||
}
|
||
],
|
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model: selectedModel,
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useOCR: useOCR
|
||
})
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||
}
|
||
|
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const applicationChatHistory = generateHistory(history, selectedModel)
|
||
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||
if (prompt) {
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||
applicationChatHistory.unshift(
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new SystemMessage({
|
||
content: prompt
|
||
})
|
||
)
|
||
}
|
||
|
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let generationInfo: any | undefined = undefined
|
||
|
||
const chunks = await ollama.stream(
|
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[...applicationChatHistory, humanMessage],
|
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{
|
||
signal: signal,
|
||
callbacks: [
|
||
{
|
||
handleLLMEnd(output: any): any {
|
||
try {
|
||
generationInfo = output?.generations?.[0][0]?.generationInfo
|
||
} catch (e) {
|
||
console.error("handleLLMEnd error", e)
|
||
}
|
||
}
|
||
}
|
||
]
|
||
}
|
||
)
|
||
let count = 0
|
||
const chatStartTime = new Date()
|
||
let reasoningStartTime: Date | undefined = undefined
|
||
let reasoningEndTime: Date | undefined = undefined
|
||
let apiReasoning = false
|
||
for await (const chunk of chunks) {
|
||
if (chunk?.additional_kwargs?.reasoning_content) {
|
||
const reasoningContent = mergeReasoningContent(
|
||
fullText,
|
||
chunk?.additional_kwargs?.reasoning_content || ""
|
||
)
|
||
contentToSave = reasoningContent
|
||
fullText = reasoningContent
|
||
apiReasoning = true
|
||
} else {
|
||
if (apiReasoning) {
|
||
fullText += "</think>"
|
||
contentToSave += "</think>"
|
||
apiReasoning = false
|
||
}
|
||
}
|
||
|
||
contentToSave += chunk?.content
|
||
fullText += chunk?.content
|
||
if (count === 0) {
|
||
setIsProcessing(true)
|
||
}
|
||
if (isReasoningStarted(fullText) && !reasoningStartTime) {
|
||
reasoningStartTime = new Date()
|
||
}
|
||
|
||
if (
|
||
reasoningStartTime &&
|
||
!reasoningEndTime &&
|
||
isReasoningEnded(fullText)
|
||
) {
|
||
reasoningEndTime = new Date()
|
||
const reasoningTime =
|
||
reasoningEndTime.getTime() - reasoningStartTime.getTime()
|
||
timetaken = reasoningTime
|
||
}
|
||
setMessages((prev) => {
|
||
return prev.map((message) => {
|
||
if (message.id === generateMessageId) {
|
||
return {
|
||
...message,
|
||
message: fullText + "▋",
|
||
reasoning_time_taken: timetaken
|
||
}
|
||
}
|
||
return message
|
||
})
|
||
})
|
||
count++
|
||
}
|
||
// update the message with the full text
|
||
setMessages((prev) => {
|
||
return prev.map((message) => {
|
||
if (message.id === generateMessageId) {
|
||
return {
|
||
...message,
|
||
message: fullText,
|
||
webSources,
|
||
iodSources,
|
||
generationInfo,
|
||
reasoning_time_taken: timetaken
|
||
}
|
||
}
|
||
return message
|
||
})
|
||
})
|
||
|
||
setHistory([
|
||
...history,
|
||
{
|
||
role: "user",
|
||
content: message,
|
||
image
|
||
},
|
||
{
|
||
role: "assistant",
|
||
content: fullText
|
||
}
|
||
])
|
||
|
||
await saveMessageOnSuccess({
|
||
historyId,
|
||
setHistoryId,
|
||
isRegenerate,
|
||
selectedModel: selectedModel,
|
||
message,
|
||
image,
|
||
fullText,
|
||
webSources,
|
||
iodSources,
|
||
generationInfo,
|
||
reasoning_time_taken: timetaken
|
||
})
|
||
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
|
||
// Save metering entry
|
||
const { cot, content } = responseResolver(fullText)
|
||
const currentMeteringEntry = {
|
||
...meter,
|
||
modelInputTokenCount: prompt.length,
|
||
modelOutputTokenCount: fullText.length,
|
||
model: ollama.modelName ?? ollama.model,
|
||
relatedDataCount: Object.values(iodData).flat()?.length ?? 0,
|
||
timeTaken: new Date().getTime() - chatStartTime.getTime(),
|
||
date: chatStartTime.getTime(),
|
||
cot,
|
||
responseContent: content,
|
||
modelResponseContent: fullText
|
||
}
|
||
const _meteringEntries = [currentMeteringEntry, ...meteringEntries]
|
||
setCurrentMeteringEntry({
|
||
loading: false,
|
||
data: currentMeteringEntry
|
||
})
|
||
setMeteringEntries(_meteringEntries)
|
||
localStorage.setItem("meteringEntries", JSON.stringify(_meteringEntries))
|
||
} catch (e) {
|
||
const errorSave = await saveMessageOnError({
|
||
e,
|
||
botMessage: fullText,
|
||
history,
|
||
historyId,
|
||
image,
|
||
selectedModel,
|
||
setHistory,
|
||
setHistoryId,
|
||
userMessage: message,
|
||
isRegenerating: isRegenerate
|
||
})
|
||
|
||
if (!errorSave) {
|
||
notification.error({
|
||
message: t("error"),
|
||
description: e?.message || t("somethingWentWrong")
|
||
})
|
||
}
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
} finally {
|
||
setAbortController(null)
|
||
}
|
||
}
|
||
|
||
const saveMessageOnSuccess = async (e: any) => {
|
||
if (!temporaryChat) {
|
||
return await saveSuccess(e)
|
||
} else {
|
||
setHistoryId("temp")
|
||
}
|
||
|
||
return true
|
||
}
|
||
|
||
const saveMessageOnError = async (e: any) => {
|
||
if (!temporaryChat) {
|
||
return await saveError(e)
|
||
} else {
|
||
setHistory([
|
||
...history,
|
||
{
|
||
role: "user",
|
||
content: e.userMessage,
|
||
image: e.image
|
||
},
|
||
{
|
||
role: "assistant",
|
||
content: e.botMessage
|
||
}
|
||
])
|
||
|
||
setHistoryId("temp")
|
||
}
|
||
|
||
return true
|
||
}
|
||
|
||
const normalChatMode = async (
|
||
message: string,
|
||
image: string,
|
||
isRegenerate: boolean,
|
||
messages: Message[],
|
||
history: ChatHistory,
|
||
signal: AbortSignal
|
||
) => {
|
||
const url = await getOllamaURL()
|
||
const userDefaultModelSettings = await getAllDefaultModelSettings()
|
||
let promptId: string | undefined = selectedSystemPrompt
|
||
let promptContent: string | undefined = undefined
|
||
|
||
if (image.length > 0) {
|
||
image = `data:image/jpeg;base64,${image.split(",")[1]}`
|
||
}
|
||
|
||
const ollama = await pageAssistModel({
|
||
model: selectedModel!,
|
||
baseUrl: cleanUrl(url),
|
||
keepAlive:
|
||
currentChatModelSettings?.keepAlive ??
|
||
userDefaultModelSettings?.keepAlive,
|
||
temperature:
|
||
currentChatModelSettings?.temperature ??
|
||
userDefaultModelSettings?.temperature,
|
||
topK: currentChatModelSettings?.topK ?? userDefaultModelSettings?.topK,
|
||
topP: currentChatModelSettings?.topP ?? userDefaultModelSettings?.topP,
|
||
numCtx:
|
||
currentChatModelSettings?.numCtx ?? userDefaultModelSettings?.numCtx,
|
||
seed: currentChatModelSettings?.seed,
|
||
numGpu:
|
||
currentChatModelSettings?.numGpu ?? userDefaultModelSettings?.numGpu,
|
||
numPredict:
|
||
currentChatModelSettings?.numPredict ??
|
||
userDefaultModelSettings?.numPredict,
|
||
useMMap:
|
||
currentChatModelSettings?.useMMap ?? userDefaultModelSettings?.useMMap,
|
||
minP: currentChatModelSettings?.minP ?? userDefaultModelSettings?.minP,
|
||
repeatLastN:
|
||
currentChatModelSettings?.repeatLastN ??
|
||
userDefaultModelSettings?.repeatLastN,
|
||
repeatPenalty:
|
||
currentChatModelSettings?.repeatPenalty ??
|
||
userDefaultModelSettings?.repeatPenalty,
|
||
tfsZ: currentChatModelSettings?.tfsZ ?? userDefaultModelSettings?.tfsZ,
|
||
numKeep:
|
||
currentChatModelSettings?.numKeep ?? userDefaultModelSettings?.numKeep,
|
||
numThread:
|
||
currentChatModelSettings?.numThread ??
|
||
userDefaultModelSettings?.numThread,
|
||
useMlock:
|
||
currentChatModelSettings?.useMlock ?? userDefaultModelSettings?.useMlock
|
||
})
|
||
|
||
let newMessage: Message[] = []
|
||
let generateMessageId = generateID()
|
||
const meter: MeteringEntry = {
|
||
id: generateMessageId,
|
||
queryContent: message,
|
||
date: new Date().getTime()
|
||
} as MeteringEntry
|
||
|
||
setCurrentMeteringEntry({
|
||
loading: true,
|
||
data: meter
|
||
})
|
||
|
||
if (!isRegenerate) {
|
||
newMessage = [
|
||
...messages,
|
||
{
|
||
isBot: false,
|
||
name: "You",
|
||
message,
|
||
webSources: [],
|
||
iodSources: getDefaultIodSources(),
|
||
images: [image]
|
||
},
|
||
{
|
||
isBot: true,
|
||
name: selectedModel,
|
||
message: "▋",
|
||
webSources: [],
|
||
iodSources: getDefaultIodSources(),
|
||
id: generateMessageId
|
||
}
|
||
]
|
||
} else {
|
||
newMessage = [
|
||
...messages,
|
||
{
|
||
isBot: true,
|
||
name: selectedModel,
|
||
message: "▋",
|
||
webSources: [],
|
||
iodSources: getDefaultIodSources(),
|
||
id: generateMessageId
|
||
}
|
||
]
|
||
}
|
||
setMessages(newMessage)
|
||
let fullText = ""
|
||
let contentToSave = ""
|
||
let timetaken = 0
|
||
|
||
try {
|
||
const prompt = await systemPromptForNonRagOption()
|
||
const selectedPrompt = await getPromptById(selectedSystemPrompt)
|
||
|
||
let humanMessage = await humanMessageFormatter({
|
||
content: [
|
||
{
|
||
text: message,
|
||
type: "text"
|
||
}
|
||
],
|
||
model: selectedModel,
|
||
useOCR: useOCR
|
||
})
|
||
if (image.length > 0) {
|
||
humanMessage = await humanMessageFormatter({
|
||
content: [
|
||
{
|
||
text: message,
|
||
type: "text"
|
||
},
|
||
{
|
||
image_url: image,
|
||
type: "image_url"
|
||
}
|
||
],
|
||
model: selectedModel,
|
||
useOCR: useOCR
|
||
})
|
||
}
|
||
|
||
const applicationChatHistory = generateHistory(history, selectedModel)
|
||
|
||
if (prompt && !selectedPrompt) {
|
||
applicationChatHistory.unshift(
|
||
new SystemMessage({
|
||
content: prompt
|
||
})
|
||
)
|
||
}
|
||
|
||
const isTempSystemprompt =
|
||
currentChatModelSettings.systemPrompt &&
|
||
currentChatModelSettings.systemPrompt?.trim().length > 0
|
||
|
||
if (!isTempSystemprompt && selectedPrompt) {
|
||
applicationChatHistory.unshift(
|
||
new SystemMessage({
|
||
content: selectedPrompt.content
|
||
})
|
||
)
|
||
promptContent = selectedPrompt.content
|
||
}
|
||
|
||
if (isTempSystemprompt) {
|
||
applicationChatHistory.unshift(
|
||
new SystemMessage({
|
||
content: currentChatModelSettings.systemPrompt
|
||
})
|
||
)
|
||
promptContent = currentChatModelSettings.systemPrompt
|
||
}
|
||
|
||
let generationInfo: any | undefined = undefined
|
||
|
||
const chunks = await ollama.stream(
|
||
[...applicationChatHistory, humanMessage],
|
||
{
|
||
signal: signal,
|
||
callbacks: [
|
||
{
|
||
handleLLMEnd(output: any): any {
|
||
try {
|
||
generationInfo = output?.generations?.[0][0]?.generationInfo
|
||
} catch (e) {
|
||
console.error("handleLLMEnd error", e)
|
||
}
|
||
}
|
||
}
|
||
]
|
||
}
|
||
)
|
||
|
||
let count = 0
|
||
let reasoningStartTime: Date | null = null
|
||
let reasoningEndTime: Date | null = null
|
||
let apiReasoning: boolean = false
|
||
const chatStartTime = new Date()
|
||
|
||
for await (const chunk of chunks) {
|
||
if (chunk?.additional_kwargs?.reasoning_content) {
|
||
const reasoningContent = mergeReasoningContent(
|
||
fullText,
|
||
chunk?.additional_kwargs?.reasoning_content || ""
|
||
)
|
||
contentToSave = reasoningContent
|
||
fullText = reasoningContent
|
||
apiReasoning = true
|
||
} else {
|
||
if (apiReasoning) {
|
||
fullText += "</think>"
|
||
contentToSave += "</think>"
|
||
apiReasoning = false
|
||
}
|
||
}
|
||
|
||
contentToSave += chunk?.content
|
||
fullText += chunk?.content
|
||
|
||
if (isReasoningStarted(fullText) && !reasoningStartTime) {
|
||
reasoningStartTime = new Date()
|
||
}
|
||
|
||
if (
|
||
reasoningStartTime &&
|
||
!reasoningEndTime &&
|
||
isReasoningEnded(fullText)
|
||
) {
|
||
reasoningEndTime = new Date()
|
||
const reasoningTime =
|
||
reasoningEndTime.getTime() - reasoningStartTime.getTime()
|
||
timetaken = reasoningTime
|
||
}
|
||
|
||
if (count === 0) {
|
||
setIsProcessing(true)
|
||
}
|
||
setMessages((prev) => {
|
||
return prev.map((message) => {
|
||
if (message.id === generateMessageId) {
|
||
return {
|
||
...message,
|
||
message: fullText + "▋",
|
||
reasoning_time_taken: timetaken
|
||
}
|
||
}
|
||
return message
|
||
})
|
||
})
|
||
count++
|
||
}
|
||
|
||
setMessages((prev) => {
|
||
return prev.map((message) => {
|
||
if (message.id === generateMessageId) {
|
||
return {
|
||
...message,
|
||
message: fullText,
|
||
generationInfo,
|
||
reasoning_time_taken: timetaken
|
||
}
|
||
}
|
||
return message
|
||
})
|
||
})
|
||
|
||
setHistory([
|
||
...history,
|
||
{
|
||
role: "user",
|
||
content: message,
|
||
image
|
||
},
|
||
{
|
||
role: "assistant",
|
||
content: fullText
|
||
}
|
||
])
|
||
|
||
await saveMessageOnSuccess({
|
||
historyId,
|
||
setHistoryId,
|
||
isRegenerate,
|
||
selectedModel: selectedModel,
|
||
message,
|
||
image,
|
||
fullText,
|
||
source: [],
|
||
generationInfo,
|
||
prompt_content: promptContent,
|
||
prompt_id: promptId,
|
||
reasoning_time_taken: timetaken
|
||
})
|
||
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
|
||
// Save metering entry
|
||
const { cot, content } = responseResolver(fullText)
|
||
const currentMeteringEntry = {
|
||
...meter,
|
||
modelInputTokenCount: prompt.length,
|
||
modelOutputTokenCount: fullText.length,
|
||
model: ollama.modelName ?? ollama.model,
|
||
relatedDataCount: 0,
|
||
timeTaken: new Date().getTime() - chatStartTime.getTime(),
|
||
date: chatStartTime.getTime(),
|
||
cot,
|
||
responseContent: content,
|
||
modelResponseContent: fullText
|
||
}
|
||
const _meteringEntries = [currentMeteringEntry, ...meteringEntries]
|
||
setCurrentMeteringEntry({
|
||
loading: false,
|
||
data: currentMeteringEntry
|
||
})
|
||
setMeteringEntries(_meteringEntries)
|
||
} catch (e) {
|
||
const errorSave = await saveMessageOnError({
|
||
e,
|
||
botMessage: fullText,
|
||
history,
|
||
historyId,
|
||
image,
|
||
selectedModel,
|
||
setHistory,
|
||
setHistoryId,
|
||
userMessage: message,
|
||
isRegenerating: isRegenerate,
|
||
prompt_content: promptContent,
|
||
prompt_id: promptId
|
||
})
|
||
|
||
if (!errorSave) {
|
||
notification.error({
|
||
message: t("error"),
|
||
description: e?.message || t("somethingWentWrong")
|
||
})
|
||
}
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
} finally {
|
||
setAbortController(null)
|
||
}
|
||
}
|
||
|
||
const ragMode = async (
|
||
message: string,
|
||
image: string,
|
||
isRegenerate: boolean,
|
||
messages: Message[],
|
||
history: ChatHistory,
|
||
signal: AbortSignal
|
||
) => {
|
||
const url = await getOllamaURL()
|
||
const userDefaultModelSettings = await getAllDefaultModelSettings()
|
||
|
||
const ollama = await pageAssistModel({
|
||
model: selectedModel!,
|
||
baseUrl: cleanUrl(url),
|
||
keepAlive:
|
||
currentChatModelSettings?.keepAlive ??
|
||
userDefaultModelSettings?.keepAlive,
|
||
temperature:
|
||
currentChatModelSettings?.temperature ??
|
||
userDefaultModelSettings?.temperature,
|
||
topK: currentChatModelSettings?.topK ?? userDefaultModelSettings?.topK,
|
||
topP: currentChatModelSettings?.topP ?? userDefaultModelSettings?.topP,
|
||
numCtx:
|
||
currentChatModelSettings?.numCtx ?? userDefaultModelSettings?.numCtx,
|
||
seed: currentChatModelSettings?.seed,
|
||
numGpu:
|
||
currentChatModelSettings?.numGpu ?? userDefaultModelSettings?.numGpu,
|
||
numPredict:
|
||
currentChatModelSettings?.numPredict ??
|
||
userDefaultModelSettings?.numPredict,
|
||
useMMap:
|
||
currentChatModelSettings?.useMMap ?? userDefaultModelSettings?.useMMap,
|
||
minP: currentChatModelSettings?.minP ?? userDefaultModelSettings?.minP,
|
||
repeatLastN:
|
||
currentChatModelSettings?.repeatLastN ??
|
||
userDefaultModelSettings?.repeatLastN,
|
||
repeatPenalty:
|
||
currentChatModelSettings?.repeatPenalty ??
|
||
userDefaultModelSettings?.repeatPenalty,
|
||
tfsZ: currentChatModelSettings?.tfsZ ?? userDefaultModelSettings?.tfsZ,
|
||
numKeep:
|
||
currentChatModelSettings?.numKeep ?? userDefaultModelSettings?.numKeep,
|
||
numThread:
|
||
currentChatModelSettings?.numThread ??
|
||
userDefaultModelSettings?.numThread,
|
||
useMlock:
|
||
currentChatModelSettings?.useMlock ?? userDefaultModelSettings?.useMlock
|
||
})
|
||
|
||
let newMessage: Message[] = []
|
||
let generateMessageId = generateID()
|
||
|
||
if (!isRegenerate) {
|
||
newMessage = [
|
||
...messages,
|
||
{
|
||
isBot: false,
|
||
name: "You",
|
||
message,
|
||
webSources: [],
|
||
iodSources: getDefaultIodSources(),
|
||
images: []
|
||
},
|
||
{
|
||
isBot: true,
|
||
name: selectedModel,
|
||
message: "▋",
|
||
webSources: [],
|
||
iodSources: getDefaultIodSources(),
|
||
id: generateMessageId
|
||
}
|
||
]
|
||
} else {
|
||
newMessage = [
|
||
...messages,
|
||
{
|
||
isBot: true,
|
||
name: selectedModel,
|
||
message: "▋",
|
||
webSources: [],
|
||
iodSources: getDefaultIodSources(),
|
||
id: generateMessageId
|
||
}
|
||
]
|
||
}
|
||
setMessages(newMessage)
|
||
let fullText = ""
|
||
let contentToSave = ""
|
||
|
||
const embeddingModle = await defaultEmbeddingModelForRag()
|
||
const ollamaUrl = await getOllamaURL()
|
||
const ollamaEmbedding = await pageAssistEmbeddingModel({
|
||
model: embeddingModle || selectedModel,
|
||
baseUrl: cleanUrl(ollamaUrl),
|
||
keepAlive:
|
||
currentChatModelSettings?.keepAlive ??
|
||
userDefaultModelSettings?.keepAlive
|
||
})
|
||
|
||
let vectorstore = await PageAssistVectorStore.fromExistingIndex(
|
||
ollamaEmbedding,
|
||
{
|
||
file_id: null,
|
||
knownledge_id: selectedKnowledge.id
|
||
}
|
||
)
|
||
let timetaken = 0
|
||
try {
|
||
let query = message
|
||
const { ragPrompt: systemPrompt, ragQuestionPrompt: questionPrompt } =
|
||
await promptForRag()
|
||
if (newMessage.length > 2) {
|
||
const lastTenMessages = newMessage.slice(-10)
|
||
lastTenMessages.pop()
|
||
const chat_history = lastTenMessages
|
||
.map((message) => {
|
||
return `${message.isBot ? "Assistant: " : "Human: "}${message.message}`
|
||
})
|
||
.join("\n")
|
||
const promptForQuestion = questionPrompt
|
||
.replaceAll("{chat_history}", chat_history)
|
||
.replaceAll("{question}", message)
|
||
const questionOllama = await pageAssistModel({
|
||
model: selectedModel!,
|
||
baseUrl: cleanUrl(url),
|
||
keepAlive:
|
||
currentChatModelSettings?.keepAlive ??
|
||
userDefaultModelSettings?.keepAlive,
|
||
temperature:
|
||
currentChatModelSettings?.temperature ??
|
||
userDefaultModelSettings?.temperature,
|
||
topK:
|
||
currentChatModelSettings?.topK ?? userDefaultModelSettings?.topK,
|
||
topP:
|
||
currentChatModelSettings?.topP ?? userDefaultModelSettings?.topP,
|
||
numCtx:
|
||
currentChatModelSettings?.numCtx ??
|
||
userDefaultModelSettings?.numCtx,
|
||
seed: currentChatModelSettings?.seed,
|
||
numGpu:
|
||
currentChatModelSettings?.numGpu ??
|
||
userDefaultModelSettings?.numGpu,
|
||
numPredict:
|
||
currentChatModelSettings?.numPredict ??
|
||
userDefaultModelSettings?.numPredict,
|
||
useMMap:
|
||
currentChatModelSettings?.useMMap ??
|
||
userDefaultModelSettings?.useMMap,
|
||
minP:
|
||
currentChatModelSettings?.minP ?? userDefaultModelSettings?.minP,
|
||
repeatLastN:
|
||
currentChatModelSettings?.repeatLastN ??
|
||
userDefaultModelSettings?.repeatLastN,
|
||
repeatPenalty:
|
||
currentChatModelSettings?.repeatPenalty ??
|
||
userDefaultModelSettings?.repeatPenalty,
|
||
tfsZ:
|
||
currentChatModelSettings?.tfsZ ?? userDefaultModelSettings?.tfsZ,
|
||
numKeep:
|
||
currentChatModelSettings?.numKeep ??
|
||
userDefaultModelSettings?.numKeep,
|
||
numThread:
|
||
currentChatModelSettings?.numThread ??
|
||
userDefaultModelSettings?.numThread,
|
||
useMlock:
|
||
currentChatModelSettings?.useMlock ??
|
||
userDefaultModelSettings?.useMlock
|
||
})
|
||
const response = await questionOllama.invoke(promptForQuestion)
|
||
query = response.content.toString()
|
||
query = removeReasoning(query)
|
||
}
|
||
const docSize = await getNoOfRetrievedDocs()
|
||
|
||
const docs = await vectorstore.similaritySearch(query, docSize)
|
||
const context = formatDocs(docs)
|
||
const source = docs.map((doc) => {
|
||
return {
|
||
...doc,
|
||
name: doc?.metadata?.source || "untitled",
|
||
type: doc?.metadata?.type || "unknown",
|
||
mode: "rag",
|
||
url: ""
|
||
}
|
||
})
|
||
// message = message.trim().replaceAll("\n", " ")
|
||
|
||
let humanMessage = await humanMessageFormatter({
|
||
content: [
|
||
{
|
||
text: systemPrompt
|
||
.replace("{context}", context)
|
||
.replace("{question}", message),
|
||
type: "text"
|
||
}
|
||
],
|
||
model: selectedModel,
|
||
useOCR: useOCR
|
||
})
|
||
|
||
const applicationChatHistory = generateHistory(history, selectedModel)
|
||
|
||
let generationInfo: any | undefined = undefined
|
||
|
||
const chunks = await ollama.stream(
|
||
[...applicationChatHistory, humanMessage],
|
||
{
|
||
signal: signal,
|
||
callbacks: [
|
||
{
|
||
handleLLMEnd(output: any): any {
|
||
try {
|
||
generationInfo = output?.generations?.[0][0]?.generationInfo
|
||
} catch (e) {
|
||
console.error("handleLLMEnd error", e)
|
||
}
|
||
}
|
||
}
|
||
]
|
||
}
|
||
)
|
||
let count = 0
|
||
let reasoningStartTime: Date | undefined = undefined
|
||
let reasoningEndTime: Date | undefined = undefined
|
||
let apiReasoning = false
|
||
|
||
for await (const chunk of chunks) {
|
||
if (chunk?.additional_kwargs?.reasoning_content) {
|
||
const reasoningContent = mergeReasoningContent(
|
||
fullText,
|
||
chunk?.additional_kwargs?.reasoning_content || ""
|
||
)
|
||
contentToSave = reasoningContent
|
||
fullText = reasoningContent
|
||
apiReasoning = true
|
||
} else {
|
||
if (apiReasoning) {
|
||
fullText += "</think>"
|
||
contentToSave += "</think>"
|
||
apiReasoning = false
|
||
}
|
||
}
|
||
|
||
contentToSave += chunk?.content
|
||
fullText += chunk?.content
|
||
if (count === 0) {
|
||
setIsProcessing(true)
|
||
}
|
||
if (isReasoningStarted(fullText) && !reasoningStartTime) {
|
||
reasoningStartTime = new Date()
|
||
}
|
||
|
||
if (
|
||
reasoningStartTime &&
|
||
!reasoningEndTime &&
|
||
isReasoningEnded(fullText)
|
||
) {
|
||
reasoningEndTime = new Date()
|
||
const reasoningTime =
|
||
reasoningEndTime.getTime() - reasoningStartTime.getTime()
|
||
timetaken = reasoningTime
|
||
}
|
||
setMessages((prev) => {
|
||
return prev.map((message) => {
|
||
if (message.id === generateMessageId) {
|
||
return {
|
||
...message,
|
||
message: fullText + "▋",
|
||
reasoning_time_taken: timetaken
|
||
}
|
||
}
|
||
return message
|
||
})
|
||
})
|
||
count++
|
||
}
|
||
// update the message with the full text
|
||
setMessages((prev) => {
|
||
return prev.map((message) => {
|
||
if (message.id === generateMessageId) {
|
||
return {
|
||
...message,
|
||
message: fullText,
|
||
webSources: source,
|
||
generationInfo,
|
||
reasoning_time_taken: timetaken
|
||
}
|
||
}
|
||
return message
|
||
})
|
||
})
|
||
|
||
setHistory([
|
||
...history,
|
||
{
|
||
role: "user",
|
||
content: message,
|
||
image
|
||
},
|
||
{
|
||
role: "assistant",
|
||
content: fullText
|
||
}
|
||
])
|
||
|
||
await saveMessageOnSuccess({
|
||
historyId,
|
||
setHistoryId,
|
||
isRegenerate,
|
||
selectedModel: selectedModel,
|
||
message,
|
||
image,
|
||
fullText,
|
||
source,
|
||
generationInfo,
|
||
reasoning_time_taken: timetaken
|
||
})
|
||
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
} catch (e) {
|
||
const errorSave = await saveMessageOnError({
|
||
e,
|
||
botMessage: fullText,
|
||
history,
|
||
historyId,
|
||
image,
|
||
selectedModel,
|
||
setHistory,
|
||
setHistoryId,
|
||
userMessage: message,
|
||
isRegenerating: isRegenerate
|
||
})
|
||
|
||
if (!errorSave) {
|
||
notification.error({
|
||
message: t("error"),
|
||
description: e?.message || t("somethingWentWrong")
|
||
})
|
||
}
|
||
setIsProcessing(false)
|
||
setStreaming(false)
|
||
} finally {
|
||
setAbortController(null)
|
||
}
|
||
}
|
||
|
||
const onSubmit = async ({
|
||
message,
|
||
image,
|
||
isRegenerate = false,
|
||
messages: chatHistory,
|
||
memory,
|
||
controller
|
||
}: {
|
||
message: string
|
||
image: string
|
||
isRegenerate?: boolean
|
||
messages?: Message[]
|
||
memory?: ChatHistory
|
||
controller?: AbortController
|
||
}) => {
|
||
setStreaming(true)
|
||
let signal: AbortSignal
|
||
if (!controller) {
|
||
const newController = new AbortController()
|
||
signal = newController.signal
|
||
setAbortController(newController)
|
||
} else {
|
||
setAbortController(controller)
|
||
signal = controller.signal
|
||
}
|
||
if (selectedKnowledge) {
|
||
await ragMode(
|
||
message,
|
||
image,
|
||
isRegenerate,
|
||
chatHistory || messages,
|
||
memory || history,
|
||
signal
|
||
)
|
||
} else {
|
||
if (webSearch || iodSearch) {
|
||
setIodLoading(iodSearch)
|
||
await searchChatMode(
|
||
webSearch,
|
||
iodSearch,
|
||
message,
|
||
image,
|
||
isRegenerate,
|
||
chatHistory || messages,
|
||
memory || history,
|
||
signal
|
||
)
|
||
} else {
|
||
await normalChatMode(
|
||
message,
|
||
image,
|
||
isRegenerate,
|
||
chatHistory || messages,
|
||
memory || history,
|
||
signal
|
||
)
|
||
}
|
||
}
|
||
}
|
||
|
||
const regenerateLastMessage = async () => {
|
||
const isOk = validateBeforeSubmit()
|
||
|
||
if (!isOk) {
|
||
return
|
||
}
|
||
if (history.length > 0) {
|
||
const lastMessage = history[history.length - 2]
|
||
let newHistory = history.slice(0, -2)
|
||
let mewMessages = messages
|
||
mewMessages.pop()
|
||
setHistory(newHistory)
|
||
setMessages(mewMessages)
|
||
await removeMessageUsingHistoryId(historyId)
|
||
if (lastMessage.role === "user") {
|
||
const newController = new AbortController()
|
||
await onSubmit({
|
||
message: lastMessage.content,
|
||
image: lastMessage.image || "",
|
||
isRegenerate: true,
|
||
memory: newHistory,
|
||
controller: newController
|
||
})
|
||
}
|
||
}
|
||
}
|
||
|
||
const stopStreamingRequest = () => {
|
||
if (abortController) {
|
||
abortController.abort()
|
||
setAbortController(null)
|
||
}
|
||
}
|
||
|
||
const validateBeforeSubmit = () => {
|
||
if (!selectedModel || selectedModel?.trim()?.length === 0) {
|
||
notification.error({
|
||
message: t("error"),
|
||
description: t("validationSelectModel")
|
||
})
|
||
return false
|
||
}
|
||
|
||
return true
|
||
}
|
||
|
||
const editMessage = async (
|
||
index: number,
|
||
message: string,
|
||
isHuman: boolean,
|
||
isSend: boolean
|
||
) => {
|
||
let newMessages = messages
|
||
let newHistory = history
|
||
|
||
// if human message and send then only trigger the submit
|
||
if (isHuman && isSend) {
|
||
const isOk = validateBeforeSubmit()
|
||
|
||
if (!isOk) {
|
||
return
|
||
}
|
||
|
||
const currentHumanMessage = newMessages[index]
|
||
newMessages[index].message = message
|
||
const previousMessages = newMessages.slice(0, index + 1)
|
||
setMessages(previousMessages)
|
||
const previousHistory = newHistory.slice(0, index)
|
||
setHistory(previousHistory)
|
||
await updateMessageByIndex(historyId, index, message)
|
||
await deleteChatForEdit(historyId, index)
|
||
const abortController = new AbortController()
|
||
await onSubmit({
|
||
message: message,
|
||
image: currentHumanMessage.images[0] || "",
|
||
isRegenerate: true,
|
||
messages: previousMessages,
|
||
memory: previousHistory,
|
||
controller: abortController
|
||
})
|
||
return
|
||
}
|
||
newMessages[index].message = message
|
||
setMessages(newMessages)
|
||
newHistory[index].content = message
|
||
setHistory(newHistory)
|
||
await updateMessageByIndex(historyId, index, message)
|
||
}
|
||
|
||
return {
|
||
editMessage,
|
||
messages,
|
||
setMessages,
|
||
iodLoading,
|
||
currentMessageId,
|
||
setIodLoading,
|
||
setCurrentMessageId,
|
||
onSubmit,
|
||
setStreaming,
|
||
streaming,
|
||
setHistory,
|
||
historyId,
|
||
setHistoryId,
|
||
setIsFirstMessage,
|
||
isLoading,
|
||
setIsLoading,
|
||
isProcessing,
|
||
stopStreamingRequest,
|
||
clearChat,
|
||
selectedModel,
|
||
setSelectedModel,
|
||
chatMode,
|
||
setChatMode,
|
||
speechToTextLanguage,
|
||
setSpeechToTextLanguage,
|
||
regenerateLastMessage,
|
||
webSearch,
|
||
setWebSearch,
|
||
iodSearch,
|
||
setIodSearch,
|
||
isSearchingInternet,
|
||
setIsSearchingInternet,
|
||
selectedQuickPrompt,
|
||
setSelectedQuickPrompt,
|
||
selectedSystemPrompt,
|
||
setSelectedSystemPrompt,
|
||
textareaRef,
|
||
selectedKnowledge,
|
||
setSelectedKnowledge,
|
||
ttsEnabled,
|
||
temporaryChat,
|
||
setTemporaryChat,
|
||
useOCR,
|
||
setUseOCR,
|
||
defaultInternetSearchOn
|
||
}
|
||
}
|