644 lines
18 KiB
TypeScript
644 lines
18 KiB
TypeScript
import { trimTopic } from "../utils";
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import Locale, { getLang } from "../locales";
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import { showToast } from "../components/ui-lib";
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import { ModelConfig, ModelType, useAppConfig } from "./config";
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import { createEmptyMask, Mask } from "./mask";
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import {
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DEFAULT_INPUT_TEMPLATE,
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DEFAULT_SYSTEM_TEMPLATE,
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KnowledgeCutOffDate,
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StoreKey,
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SUMMARIZE_MODEL,
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} from "../constant";
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import { api, RequestMessage } from "../client/api";
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import { ChatControllerPool } from "../client/controller";
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import { prettyObject } from "../utils/format";
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import { estimateTokenLength } from "../utils/token";
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import { nanoid } from "nanoid";
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import { createPersistStore } from "../utils/store";
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export type ChatMessage = RequestMessage & {
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date: string;
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streaming?: boolean;
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isError?: boolean;
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id: string;
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model?: ModelType;
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};
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export function createMessage(override: Partial<ChatMessage>): ChatMessage {
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return {
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id: nanoid(),
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date: new Date().toLocaleString(),
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role: "user",
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content: "",
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...override,
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};
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}
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export interface ChatStat {
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tokenCount: number;
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wordCount: number;
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charCount: number;
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}
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export interface ChatSession {
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id: string;
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topic: string;
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memoryPrompt: string;
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messages: ChatMessage[];
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stat: ChatStat;
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lastUpdate: number;
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lastSummarizeIndex: number;
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clearContextIndex?: number;
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mask: Mask;
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}
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export const DEFAULT_TOPIC = Locale.Store.DefaultTopic;
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export const BOT_HELLO: ChatMessage = createMessage({
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role: "assistant",
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content: Locale.Store.BotHello,
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});
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function createEmptySession(): ChatSession {
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return {
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id: nanoid(),
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topic: DEFAULT_TOPIC,
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memoryPrompt: "",
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messages: [],
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stat: {
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tokenCount: 0,
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wordCount: 0,
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charCount: 0,
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},
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lastUpdate: Date.now(),
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lastSummarizeIndex: 0,
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mask: createEmptyMask(),
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};
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}
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function getSummarizeModel(currentModel: string) {
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// if it is using gpt-* models, force to use 3.5 to summarize
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return currentModel.startsWith("gpt") ? SUMMARIZE_MODEL : currentModel;
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}
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function countMessages(msgs: ChatMessage[]) {
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return msgs.reduce((pre, cur) => pre + estimateTokenLength(cur.content), 0);
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}
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function fillTemplateWith(input: string, modelConfig: ModelConfig) {
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let cutoff =
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KnowledgeCutOffDate[modelConfig.model] ?? KnowledgeCutOffDate.default;
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const vars = {
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cutoff,
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model: modelConfig.model,
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time: new Date().toLocaleString(),
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lang: getLang(),
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input: input,
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};
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let output = modelConfig.template ?? DEFAULT_INPUT_TEMPLATE;
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// must contains {{input}}
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const inputVar = "{{input}}";
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if (!output.includes(inputVar)) {
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output += "\n" + inputVar;
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}
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Object.entries(vars).forEach(([name, value]) => {
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output = output.replaceAll(`{{${name}}}`, value);
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});
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return output;
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}
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const DEFAULT_CHAT_STATE = {
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sessions: [createEmptySession()],
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currentSessionIndex: 0,
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};
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export const useChatStore = createPersistStore(
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DEFAULT_CHAT_STATE,
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(set, _get) => {
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function get() {
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return {
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..._get(),
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...methods,
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};
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}
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const methods = {
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clearSessions() {
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set(() => ({
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sessions: [createEmptySession()],
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currentSessionIndex: 0,
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}));
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},
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selectSession(index: number) {
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set({
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currentSessionIndex: index,
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});
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},
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moveSession(from: number, to: number) {
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set((state) => {
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const { sessions, currentSessionIndex: oldIndex } = state;
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// move the session
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const newSessions = [...sessions];
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const session = newSessions[from];
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newSessions.splice(from, 1);
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newSessions.splice(to, 0, session);
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// modify current session id
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let newIndex = oldIndex === from ? to : oldIndex;
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if (oldIndex > from && oldIndex <= to) {
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newIndex -= 1;
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} else if (oldIndex < from && oldIndex >= to) {
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newIndex += 1;
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}
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return {
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currentSessionIndex: newIndex,
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sessions: newSessions,
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};
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});
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},
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newSession(mask?: Mask) {
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const session = createEmptySession();
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if (mask) {
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const config = useAppConfig.getState();
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const globalModelConfig = config.modelConfig;
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session.mask = {
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...mask,
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modelConfig: {
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...globalModelConfig,
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...mask.modelConfig,
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},
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};
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session.topic = mask.name;
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}
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set((state) => ({
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currentSessionIndex: 0,
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sessions: [session].concat(state.sessions),
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}));
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},
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nextSession(delta: number) {
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const n = get().sessions.length;
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const limit = (x: number) => (x + n) % n;
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const i = get().currentSessionIndex;
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get().selectSession(limit(i + delta));
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},
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deleteSession(index: number) {
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const deletingLastSession = get().sessions.length === 1;
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const deletedSession = get().sessions.at(index);
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if (!deletedSession) return;
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const sessions = get().sessions.slice();
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sessions.splice(index, 1);
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const currentIndex = get().currentSessionIndex;
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let nextIndex = Math.min(
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currentIndex - Number(index < currentIndex),
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sessions.length - 1,
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);
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if (deletingLastSession) {
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nextIndex = 0;
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sessions.push(createEmptySession());
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}
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// for undo delete action
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const restoreState = {
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currentSessionIndex: get().currentSessionIndex,
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sessions: get().sessions.slice(),
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};
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set(() => ({
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currentSessionIndex: nextIndex,
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sessions,
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}));
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showToast(
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Locale.Home.DeleteToast,
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{
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text: Locale.Home.Revert,
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onClick() {
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set(() => restoreState);
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},
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},
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5000,
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);
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},
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currentSession() {
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let index = get().currentSessionIndex;
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const sessions = get().sessions;
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if (index < 0 || index >= sessions.length) {
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index = Math.min(sessions.length - 1, Math.max(0, index));
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set(() => ({ currentSessionIndex: index }));
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}
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const session = sessions[index];
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return session;
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},
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onNewMessage(message: ChatMessage) {
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get().updateCurrentSession((session) => {
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session.messages = session.messages.concat();
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session.lastUpdate = Date.now();
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});
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get().updateStat(message);
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get().summarizeSession();
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},
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async onUserInput(content: string) {
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const session = get().currentSession();
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const modelConfig = session.mask.modelConfig;
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const userContent = fillTemplateWith(content, modelConfig);
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console.log("[User Input] after template: ", userContent);
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const userMessage: ChatMessage = createMessage({
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role: "user",
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content: userContent,
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});
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const botMessage: ChatMessage = createMessage({
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role: "assistant",
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streaming: true,
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model: modelConfig.model,
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});
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// get recent messages
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const recentMessages = get().getMessagesWithMemory();
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const sendMessages = recentMessages.concat(userMessage);
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const messageIndex = get().currentSession().messages.length + 1;
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// save user's and bot's message
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get().updateCurrentSession((session) => {
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const savedUserMessage = {
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...userMessage,
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content,
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};
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session.messages = session.messages.concat([
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savedUserMessage,
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botMessage,
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]);
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});
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// make request
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api.llm.chat({
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messages: sendMessages,
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config: { ...modelConfig, stream: true },
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onUpdate(message) {
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botMessage.streaming = true;
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if (message) {
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botMessage.content = message;
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}
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get().updateCurrentSession((session) => {
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session.messages = session.messages.concat();
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});
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},
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onFinish(message) {
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botMessage.streaming = false;
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if (message) {
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botMessage.content = message;
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get().onNewMessage(botMessage);
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}
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ChatControllerPool.remove(session.id, botMessage.id);
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},
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onError(error) {
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const isAborted = error.message.includes("aborted");
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botMessage.content +=
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"\n\n" +
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prettyObject({
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error: true,
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message: error.message,
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});
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botMessage.streaming = false;
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userMessage.isError = !isAborted;
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botMessage.isError = !isAborted;
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get().updateCurrentSession((session) => {
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session.messages = session.messages.concat();
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});
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ChatControllerPool.remove(
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session.id,
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botMessage.id ?? messageIndex,
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);
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console.error("[Chat] failed ", error);
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},
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onController(controller) {
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// collect controller for stop/retry
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ChatControllerPool.addController(
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session.id,
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botMessage.id ?? messageIndex,
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controller,
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);
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},
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});
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},
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getMemoryPrompt() {
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const session = get().currentSession();
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return {
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role: "system",
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content:
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session.memoryPrompt.length > 0
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? Locale.Store.Prompt.History(session.memoryPrompt)
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: "",
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date: "",
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} as ChatMessage;
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},
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getMessagesWithMemory() {
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const session = get().currentSession();
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const modelConfig = session.mask.modelConfig;
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const clearContextIndex = session.clearContextIndex ?? 0;
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const messages = session.messages.slice();
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const totalMessageCount = session.messages.length;
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// in-context prompts
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const contextPrompts = session.mask.context.slice();
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// system prompts, to get close to OpenAI Web ChatGPT
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const shouldInjectSystemPrompts = modelConfig.enableInjectSystemPrompts;
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const systemPrompts = shouldInjectSystemPrompts
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? [
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createMessage({
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role: "system",
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content: fillTemplateWith("", {
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...modelConfig,
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template: DEFAULT_SYSTEM_TEMPLATE,
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}),
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}),
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]
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: [];
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if (shouldInjectSystemPrompts) {
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console.log(
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"[Global System Prompt] ",
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systemPrompts.at(0)?.content ?? "empty",
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);
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}
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// long term memory
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const shouldSendLongTermMemory =
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modelConfig.sendMemory &&
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session.memoryPrompt &&
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session.memoryPrompt.length > 0 &&
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session.lastSummarizeIndex > clearContextIndex;
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const longTermMemoryPrompts = shouldSendLongTermMemory
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? [get().getMemoryPrompt()]
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: [];
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const longTermMemoryStartIndex = session.lastSummarizeIndex;
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// short term memory
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const shortTermMemoryStartIndex = Math.max(
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0,
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totalMessageCount - modelConfig.historyMessageCount,
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);
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// lets concat send messages, including 4 parts:
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// 0. system prompt: to get close to OpenAI Web ChatGPT
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// 1. long term memory: summarized memory messages
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// 2. pre-defined in-context prompts
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// 3. short term memory: latest n messages
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// 4. newest input message
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const memoryStartIndex = shouldSendLongTermMemory
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? Math.min(longTermMemoryStartIndex, shortTermMemoryStartIndex)
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: shortTermMemoryStartIndex;
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// and if user has cleared history messages, we should exclude the memory too.
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const contextStartIndex = Math.max(clearContextIndex, memoryStartIndex);
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const maxTokenThreshold = modelConfig.max_tokens;
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// get recent messages as much as possible
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const reversedRecentMessages = [];
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for (
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let i = totalMessageCount - 1, tokenCount = 0;
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i >= contextStartIndex && tokenCount < maxTokenThreshold;
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i -= 1
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) {
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const msg = messages[i];
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if (!msg || msg.isError) continue;
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tokenCount += estimateTokenLength(msg.content);
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reversedRecentMessages.push(msg);
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}
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// concat all messages
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const recentMessages = [
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...systemPrompts,
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...longTermMemoryPrompts,
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...contextPrompts,
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...reversedRecentMessages.reverse(),
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];
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return recentMessages;
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},
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updateMessage(
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sessionIndex: number,
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messageIndex: number,
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updater: (message?: ChatMessage) => void,
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) {
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const sessions = get().sessions;
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const session = sessions.at(sessionIndex);
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const messages = session?.messages;
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updater(messages?.at(messageIndex));
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set(() => ({ sessions }));
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},
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resetSession() {
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get().updateCurrentSession((session) => {
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session.messages = [];
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session.memoryPrompt = "";
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});
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},
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summarizeSession() {
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const config = useAppConfig.getState();
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const session = get().currentSession();
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// remove error messages if any
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const messages = session.messages;
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// should summarize topic after chating more than 50 words
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const SUMMARIZE_MIN_LEN = 50;
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if (
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config.enableAutoGenerateTitle &&
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session.topic === DEFAULT_TOPIC &&
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countMessages(messages) >= SUMMARIZE_MIN_LEN
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) {
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const topicMessages = messages.concat(
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createMessage({
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role: "user",
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content: Locale.Store.Prompt.Topic,
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}),
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);
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api.llm.chat({
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messages: topicMessages,
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config: {
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model: getSummarizeModel(session.mask.modelConfig.model),
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},
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onFinish(message) {
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get().updateCurrentSession(
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(session) =>
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(session.topic =
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message.length > 0 ? trimTopic(message) : DEFAULT_TOPIC),
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);
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},
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});
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}
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const modelConfig = session.mask.modelConfig;
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const summarizeIndex = Math.max(
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session.lastSummarizeIndex,
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session.clearContextIndex ?? 0,
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);
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let toBeSummarizedMsgs = messages
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.filter((msg) => !msg.isError)
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.slice(summarizeIndex);
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const historyMsgLength = countMessages(toBeSummarizedMsgs);
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if (historyMsgLength > modelConfig?.max_tokens ?? 4000) {
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const n = toBeSummarizedMsgs.length;
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toBeSummarizedMsgs = toBeSummarizedMsgs.slice(
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Math.max(0, n - modelConfig.historyMessageCount),
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);
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}
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// add memory prompt
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toBeSummarizedMsgs.unshift(get().getMemoryPrompt());
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const lastSummarizeIndex = session.messages.length;
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console.log(
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"[Chat History] ",
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toBeSummarizedMsgs,
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historyMsgLength,
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modelConfig.compressMessageLengthThreshold,
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);
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if (
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historyMsgLength > modelConfig.compressMessageLengthThreshold &&
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modelConfig.sendMemory
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) {
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api.llm.chat({
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messages: toBeSummarizedMsgs.concat(
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createMessage({
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role: "system",
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content: Locale.Store.Prompt.Summarize,
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date: "",
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}),
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),
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config: {
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...modelConfig,
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stream: true,
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model: getSummarizeModel(session.mask.modelConfig.model),
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},
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onUpdate(message) {
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session.memoryPrompt = message;
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},
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onFinish(message) {
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console.log("[Memory] ", message);
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session.lastSummarizeIndex = lastSummarizeIndex;
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},
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onError(err) {
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console.error("[Summarize] ", err);
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},
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});
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}
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},
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updateStat(message: ChatMessage) {
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get().updateCurrentSession((session) => {
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session.stat.charCount += message.content.length;
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// TODO: should update chat count and word count
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});
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},
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updateCurrentSession(updater: (session: ChatSession) => void) {
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const sessions = get().sessions;
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const index = get().currentSessionIndex;
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updater(sessions[index]);
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set(() => ({ sessions }));
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},
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clearAllData() {
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localStorage.clear();
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location.reload();
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},
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};
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return methods;
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},
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{
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name: StoreKey.Chat,
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version: 3.1,
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migrate(persistedState, version) {
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const state = persistedState as any;
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const newState = JSON.parse(
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JSON.stringify(state),
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) as typeof DEFAULT_CHAT_STATE;
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if (version < 2) {
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newState.sessions = [];
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const oldSessions = state.sessions;
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for (const oldSession of oldSessions) {
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const newSession = createEmptySession();
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|
newSession.topic = oldSession.topic;
|
|
newSession.messages = [...oldSession.messages];
|
|
newSession.mask.modelConfig.sendMemory = true;
|
|
newSession.mask.modelConfig.historyMessageCount = 4;
|
|
newSession.mask.modelConfig.compressMessageLengthThreshold = 1000;
|
|
newState.sessions.push(newSession);
|
|
}
|
|
}
|
|
|
|
if (version < 3) {
|
|
// migrate id to nanoid
|
|
newState.sessions.forEach((s) => {
|
|
s.id = nanoid();
|
|
s.messages.forEach((m) => (m.id = nanoid()));
|
|
});
|
|
}
|
|
|
|
// Enable `enableInjectSystemPrompts` attribute for old sessions.
|
|
// Resolve issue of old sessions not automatically enabling.
|
|
if (version < 3.1) {
|
|
newState.sessions.forEach((s) => {
|
|
if (
|
|
// Exclude those already set by user
|
|
!s.mask.modelConfig.hasOwnProperty("enableInjectSystemPrompts")
|
|
) {
|
|
// Because users may have changed this configuration,
|
|
// the user's current configuration is used instead of the default
|
|
const config = useAppConfig.getState();
|
|
s.mask.modelConfig.enableInjectSystemPrompts =
|
|
config.modelConfig.enableInjectSystemPrompts;
|
|
}
|
|
});
|
|
}
|
|
|
|
return newState as any;
|
|
},
|
|
},
|
|
);
|