mirror of
https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
synced 2025-11-04 16:23:41 +08:00
932 lines
28 KiB
TypeScript
932 lines
28 KiB
TypeScript
import {
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getMessageTextContent,
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isDalle3,
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safeLocalStorage,
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trimTopic,
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} from "../utils";
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import { indexedDBStorage } from "@/app/utils/indexedDB-storage";
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import { nanoid } from "nanoid";
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import type {
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ClientApi,
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MultimodalContent,
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RequestMessage,
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} from "../client/api";
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import { getClientApi } from "../client/api";
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import { ChatControllerPool } from "../client/controller";
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import { showToast } from "../components/ui-lib";
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import {
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DEFAULT_INPUT_TEMPLATE,
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DEFAULT_MODELS,
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DEFAULT_SYSTEM_TEMPLATE,
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GEMINI_SUMMARIZE_MODEL,
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DEEPSEEK_SUMMARIZE_MODEL,
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KnowledgeCutOffDate,
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MCP_SYSTEM_TEMPLATE,
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MCP_TOOLS_TEMPLATE,
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ServiceProvider,
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StoreKey,
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SUMMARIZE_MODEL,
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} from "../constant";
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import Locale, { getLang } from "../locales";
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import { prettyObject } from "../utils/format";
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import { createPersistStore } from "../utils/store";
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import { estimateTokenLength } from "../utils/token";
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import { ModelConfig, ModelType, useAppConfig } from "./config";
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import { useAccessStore } from "./access";
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import { collectModelsWithDefaultModel } from "../utils/model";
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import { createEmptyMask, Mask } from "./mask";
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import { executeMcpAction, getAllTools, isMcpEnabled } from "../mcp/actions";
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import { extractMcpJson, isMcpJson } from "../mcp/utils";
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const localStorage = safeLocalStorage();
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export type ChatMessageTool = {
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id: string;
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index?: number;
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type?: string;
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function?: {
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name: string;
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arguments?: string;
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};
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content?: string;
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isError?: boolean;
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errorMsg?: string;
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};
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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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tools?: ChatMessageTool[];
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audio_url?: string;
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isMcpResponse?: boolean;
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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(
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currentModel: string,
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providerName: string,
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): string[] {
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// if it is using gpt-* models, force to use 4o-mini to summarize
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if (currentModel.startsWith("gpt") || currentModel.startsWith("chatgpt")) {
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const configStore = useAppConfig.getState();
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const accessStore = useAccessStore.getState();
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const allModel = collectModelsWithDefaultModel(
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configStore.models,
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[configStore.customModels, accessStore.customModels].join(","),
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accessStore.defaultModel,
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);
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const summarizeModel = allModel.find(
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(m) => m.name === SUMMARIZE_MODEL && m.available,
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);
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if (summarizeModel) {
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return [
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summarizeModel.name,
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summarizeModel.provider?.providerName as string,
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];
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}
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}
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if (currentModel.startsWith("gemini")) {
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return [GEMINI_SUMMARIZE_MODEL, ServiceProvider.Google];
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} else if (currentModel.startsWith("deepseek-")) {
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return [DEEPSEEK_SUMMARIZE_MODEL, ServiceProvider.DeepSeek];
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}
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return [currentModel, providerName];
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}
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function countMessages(msgs: ChatMessage[]) {
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return msgs.reduce(
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(pre, cur) => pre + estimateTokenLength(getMessageTextContent(cur)),
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0,
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);
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}
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function fillTemplateWith(input: string, modelConfig: ModelConfig) {
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const cutoff =
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KnowledgeCutOffDate[modelConfig.model] ?? KnowledgeCutOffDate.default;
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// Find the model in the DEFAULT_MODELS array that matches the modelConfig.model
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const modelInfo = DEFAULT_MODELS.find((m) => m.name === modelConfig.model);
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var serviceProvider = "OpenAI";
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if (modelInfo) {
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// TODO: auto detect the providerName from the modelConfig.model
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// Directly use the providerName from the modelInfo
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serviceProvider = modelInfo.provider.providerName;
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}
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const vars = {
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ServiceProvider: serviceProvider,
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cutoff,
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model: modelConfig.model,
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time: new Date().toString(),
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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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// remove duplicate
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if (input.startsWith(output)) {
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output = "";
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}
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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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const regex = new RegExp(`{{${name}}}`, "g");
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output = output.replace(regex, value.toString()); // Ensure value is a string
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});
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return output;
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}
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async function getMcpSystemPrompt(): Promise<string> {
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const tools = await getAllTools();
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let toolsStr = "";
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tools.forEach((i) => {
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// error client has no tools
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if (!i.tools) return;
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toolsStr += MCP_TOOLS_TEMPLATE.replace(
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"{{ clientId }}",
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i.clientId,
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).replace(
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"{{ tools }}",
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i.tools.tools.map((p: object) => JSON.stringify(p, null, 2)).join("\n"),
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);
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});
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return MCP_SYSTEM_TEMPLATE.replace("{{ MCP_TOOLS }}", toolsStr);
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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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lastInput: "",
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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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forkSession() {
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// 获取当前会话
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const currentSession = get().currentSession();
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if (!currentSession) return;
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const newSession = createEmptySession();
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newSession.topic = currentSession.topic;
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// 深拷贝消息
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newSession.messages = currentSession.messages.map((msg) => ({
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...msg,
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id: nanoid(), // 生成新的消息 ID
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}));
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newSession.mask = {
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...currentSession.mask,
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modelConfig: {
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...currentSession.mask.modelConfig,
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},
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};
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set((state) => ({
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currentSessionIndex: 0,
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sessions: [newSession, ...state.sessions],
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}));
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},
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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, targetSession: ChatSession) {
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get().updateTargetSession(targetSession, (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, targetSession);
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get().checkMcpJson(message);
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get().summarizeSession(false, targetSession);
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},
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async onUserInput(
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content: string,
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attachImages?: string[],
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isMcpResponse?: boolean,
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) {
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const session = get().currentSession();
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const modelConfig = session.mask.modelConfig;
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// MCP Response no need to fill template
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let mContent: string | MultimodalContent[] = isMcpResponse
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? content
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: fillTemplateWith(content, modelConfig);
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if (!isMcpResponse && attachImages && attachImages.length > 0) {
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mContent = [
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...(content ? [{ type: "text" as const, text: content }] : []),
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...attachImages.map((url) => ({
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type: "image_url" as const,
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image_url: { url },
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})),
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];
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}
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let userMessage: ChatMessage = createMessage({
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role: "user",
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content: mContent,
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isMcpResponse,
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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 = await get().getMessagesWithMemory();
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const sendMessages = recentMessages.concat(userMessage);
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const messageIndex = session.messages.length + 1;
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// save user's and bot's message
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get().updateTargetSession(session, (session) => {
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const savedUserMessage = {
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...userMessage,
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content: mContent,
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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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const api: ClientApi = getClientApi(modelConfig.providerName);
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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().updateTargetSession(session, (session) => {
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session.messages = session.messages.concat();
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});
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},
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async 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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botMessage.date = new Date().toLocaleString();
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get().onNewMessage(botMessage, session);
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}
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ChatControllerPool.remove(session.id, botMessage.id);
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},
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onBeforeTool(tool: ChatMessageTool) {
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(botMessage.tools = botMessage?.tools || []).push(tool);
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get().updateTargetSession(session, (session) => {
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session.messages = session.messages.concat();
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});
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},
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onAfterTool(tool: ChatMessageTool) {
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botMessage?.tools?.forEach((t, i, tools) => {
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if (tool.id == t.id) {
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tools[i] = { ...tool };
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}
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});
|
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get().updateTargetSession(session, (session) => {
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session.messages = session.messages.concat();
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});
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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().updateTargetSession(session, (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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if (session.memoryPrompt.length) {
|
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return {
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role: "system",
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content: Locale.Store.Prompt.History(session.memoryPrompt),
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date: "",
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} as ChatMessage;
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}
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},
|
|
|
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async getMessagesWithMemory() {
|
|
const session = get().currentSession();
|
|
const modelConfig = session.mask.modelConfig;
|
|
const clearContextIndex = session.clearContextIndex ?? 0;
|
|
const messages = session.messages.slice();
|
|
const totalMessageCount = session.messages.length;
|
|
|
|
// in-context prompts
|
|
const contextPrompts = session.mask.context.slice();
|
|
|
|
// system prompts, to get close to OpenAI Web ChatGPT
|
|
const shouldInjectSystemPrompts =
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modelConfig.enableInjectSystemPrompts &&
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(session.mask.modelConfig.model.startsWith("gpt-") ||
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session.mask.modelConfig.model.startsWith("chatgpt-"));
|
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|
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const mcpEnabled = await isMcpEnabled();
|
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const mcpSystemPrompt = mcpEnabled ? await getMcpSystemPrompt() : "";
|
|
|
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var systemPrompts: ChatMessage[] = [];
|
|
|
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if (shouldInjectSystemPrompts) {
|
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systemPrompts = [
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createMessage({
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role: "system",
|
|
content:
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fillTemplateWith("", {
|
|
...modelConfig,
|
|
template: DEFAULT_SYSTEM_TEMPLATE,
|
|
}) + mcpSystemPrompt,
|
|
}),
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|
];
|
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} else if (mcpEnabled) {
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systemPrompts = [
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createMessage({
|
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role: "system",
|
|
content: mcpSystemPrompt,
|
|
}),
|
|
];
|
|
}
|
|
|
|
if (shouldInjectSystemPrompts || mcpEnabled) {
|
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console.log(
|
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"[Global System Prompt] ",
|
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systemPrompts.at(0)?.content ?? "empty",
|
|
);
|
|
}
|
|
const memoryPrompt = get().getMemoryPrompt();
|
|
// long term memory
|
|
const shouldSendLongTermMemory =
|
|
modelConfig.sendMemory &&
|
|
session.memoryPrompt &&
|
|
session.memoryPrompt.length > 0 &&
|
|
session.lastSummarizeIndex > clearContextIndex;
|
|
const longTermMemoryPrompts =
|
|
shouldSendLongTermMemory && memoryPrompt ? [memoryPrompt] : [];
|
|
const longTermMemoryStartIndex = session.lastSummarizeIndex;
|
|
|
|
// short term memory
|
|
const shortTermMemoryStartIndex = Math.max(
|
|
0,
|
|
totalMessageCount - modelConfig.historyMessageCount,
|
|
);
|
|
|
|
// lets concat send messages, including 4 parts:
|
|
// 0. system prompt: to get close to OpenAI Web ChatGPT
|
|
// 1. long term memory: summarized memory messages
|
|
// 2. pre-defined in-context prompts
|
|
// 3. short term memory: latest n messages
|
|
// 4. newest input message
|
|
const memoryStartIndex = shouldSendLongTermMemory
|
|
? Math.min(longTermMemoryStartIndex, shortTermMemoryStartIndex)
|
|
: shortTermMemoryStartIndex;
|
|
// and if user has cleared history messages, we should exclude the memory too.
|
|
const contextStartIndex = Math.max(clearContextIndex, memoryStartIndex);
|
|
const maxTokenThreshold = modelConfig.max_tokens;
|
|
|
|
// get recent messages as much as possible
|
|
const reversedRecentMessages = [];
|
|
for (
|
|
let i = totalMessageCount - 1, tokenCount = 0;
|
|
i >= contextStartIndex && tokenCount < maxTokenThreshold;
|
|
i -= 1
|
|
) {
|
|
const msg = messages[i];
|
|
if (!msg || msg.isError) continue;
|
|
tokenCount += estimateTokenLength(getMessageTextContent(msg));
|
|
reversedRecentMessages.push(msg);
|
|
}
|
|
// concat all messages
|
|
const recentMessages = [
|
|
...systemPrompts,
|
|
...longTermMemoryPrompts,
|
|
...contextPrompts,
|
|
...reversedRecentMessages.reverse(),
|
|
];
|
|
|
|
return recentMessages;
|
|
},
|
|
|
|
updateMessage(
|
|
sessionIndex: number,
|
|
messageIndex: number,
|
|
updater: (message?: ChatMessage) => void,
|
|
) {
|
|
const sessions = get().sessions;
|
|
const session = sessions.at(sessionIndex);
|
|
const messages = session?.messages;
|
|
updater(messages?.at(messageIndex));
|
|
set(() => ({ sessions }));
|
|
},
|
|
|
|
resetSession(session: ChatSession) {
|
|
get().updateTargetSession(session, (session) => {
|
|
session.messages = [];
|
|
session.memoryPrompt = "";
|
|
});
|
|
},
|
|
|
|
summarizeSession(
|
|
refreshTitle: boolean = false,
|
|
targetSession: ChatSession,
|
|
) {
|
|
const config = useAppConfig.getState();
|
|
const session = targetSession;
|
|
const modelConfig = session.mask.modelConfig;
|
|
// skip summarize when using dalle3?
|
|
if (isDalle3(modelConfig.model)) {
|
|
return;
|
|
}
|
|
|
|
// if not config compressModel, then using getSummarizeModel
|
|
const [model, providerName] = modelConfig.compressModel
|
|
? [modelConfig.compressModel, modelConfig.compressProviderName]
|
|
: getSummarizeModel(
|
|
session.mask.modelConfig.model,
|
|
session.mask.modelConfig.providerName,
|
|
);
|
|
const api: ClientApi = getClientApi(providerName as ServiceProvider);
|
|
|
|
// remove error messages if any
|
|
const messages = session.messages;
|
|
|
|
// should summarize topic after chating more than 50 words
|
|
const SUMMARIZE_MIN_LEN = 50;
|
|
if (
|
|
(config.enableAutoGenerateTitle &&
|
|
session.topic === DEFAULT_TOPIC &&
|
|
countMessages(messages) >= SUMMARIZE_MIN_LEN) ||
|
|
refreshTitle
|
|
) {
|
|
const startIndex = Math.max(
|
|
0,
|
|
messages.length - modelConfig.historyMessageCount,
|
|
);
|
|
const topicMessages = messages
|
|
.slice(
|
|
startIndex < messages.length ? startIndex : messages.length - 1,
|
|
messages.length,
|
|
)
|
|
.concat(
|
|
createMessage({
|
|
role: "user",
|
|
content: Locale.Store.Prompt.Topic,
|
|
}),
|
|
);
|
|
api.llm.chat({
|
|
messages: topicMessages,
|
|
config: {
|
|
model,
|
|
stream: false,
|
|
providerName,
|
|
},
|
|
onFinish(message, responseRes) {
|
|
if (responseRes?.status === 200) {
|
|
get().updateTargetSession(
|
|
session,
|
|
(session) =>
|
|
(session.topic =
|
|
message.length > 0 ? trimTopic(message) : DEFAULT_TOPIC),
|
|
);
|
|
}
|
|
},
|
|
});
|
|
}
|
|
const summarizeIndex = Math.max(
|
|
session.lastSummarizeIndex,
|
|
session.clearContextIndex ?? 0,
|
|
);
|
|
let toBeSummarizedMsgs = messages
|
|
.filter((msg) => !msg.isError)
|
|
.slice(summarizeIndex);
|
|
|
|
const historyMsgLength = countMessages(toBeSummarizedMsgs);
|
|
|
|
if (historyMsgLength > (modelConfig?.max_tokens || 4000)) {
|
|
const n = toBeSummarizedMsgs.length;
|
|
toBeSummarizedMsgs = toBeSummarizedMsgs.slice(
|
|
Math.max(0, n - modelConfig.historyMessageCount),
|
|
);
|
|
}
|
|
const memoryPrompt = get().getMemoryPrompt();
|
|
if (memoryPrompt) {
|
|
// add memory prompt
|
|
toBeSummarizedMsgs.unshift(memoryPrompt);
|
|
}
|
|
|
|
const lastSummarizeIndex = session.messages.length;
|
|
|
|
console.log(
|
|
"[Chat History] ",
|
|
toBeSummarizedMsgs,
|
|
historyMsgLength,
|
|
modelConfig.compressMessageLengthThreshold,
|
|
);
|
|
|
|
if (
|
|
historyMsgLength > modelConfig.compressMessageLengthThreshold &&
|
|
modelConfig.sendMemory
|
|
) {
|
|
/** Destruct max_tokens while summarizing
|
|
* this param is just shit
|
|
**/
|
|
const { max_tokens, ...modelcfg } = modelConfig;
|
|
api.llm.chat({
|
|
messages: toBeSummarizedMsgs.concat(
|
|
createMessage({
|
|
role: "system",
|
|
content: Locale.Store.Prompt.Summarize,
|
|
date: "",
|
|
}),
|
|
),
|
|
config: {
|
|
...modelcfg,
|
|
stream: true,
|
|
model,
|
|
providerName,
|
|
},
|
|
onUpdate(message) {
|
|
session.memoryPrompt = message;
|
|
},
|
|
onFinish(message, responseRes) {
|
|
if (responseRes?.status === 200) {
|
|
console.log("[Memory] ", message);
|
|
get().updateTargetSession(session, (session) => {
|
|
session.lastSummarizeIndex = lastSummarizeIndex;
|
|
session.memoryPrompt = message; // Update the memory prompt for stored it in local storage
|
|
});
|
|
}
|
|
},
|
|
onError(err) {
|
|
console.error("[Summarize] ", err);
|
|
},
|
|
});
|
|
}
|
|
},
|
|
|
|
updateStat(message: ChatMessage, session: ChatSession) {
|
|
get().updateTargetSession(session, (session) => {
|
|
session.stat.charCount += message.content.length;
|
|
// TODO: should update chat count and word count
|
|
});
|
|
},
|
|
updateTargetSession(
|
|
targetSession: ChatSession,
|
|
updater: (session: ChatSession) => void,
|
|
) {
|
|
const sessions = get().sessions;
|
|
const index = sessions.findIndex((s) => s.id === targetSession.id);
|
|
if (index < 0) return;
|
|
updater(sessions[index]);
|
|
set(() => ({ sessions }));
|
|
},
|
|
async clearAllData() {
|
|
await indexedDBStorage.clear();
|
|
localStorage.clear();
|
|
location.reload();
|
|
},
|
|
setLastInput(lastInput: string) {
|
|
set({
|
|
lastInput,
|
|
});
|
|
},
|
|
|
|
/** check if the message contains MCP JSON and execute the MCP action */
|
|
checkMcpJson(message: ChatMessage) {
|
|
const mcpEnabled = isMcpEnabled();
|
|
if (!mcpEnabled) return;
|
|
const content = getMessageTextContent(message);
|
|
if (isMcpJson(content)) {
|
|
try {
|
|
const mcpRequest = extractMcpJson(content);
|
|
if (mcpRequest) {
|
|
console.debug("[MCP Request]", mcpRequest);
|
|
|
|
executeMcpAction(mcpRequest.clientId, mcpRequest.mcp)
|
|
.then((result) => {
|
|
console.log("[MCP Response]", result);
|
|
const mcpResponse =
|
|
typeof result === "object"
|
|
? JSON.stringify(result)
|
|
: String(result);
|
|
get().onUserInput(
|
|
`\`\`\`json:mcp-response:${mcpRequest.clientId}\n${mcpResponse}\n\`\`\``,
|
|
[],
|
|
true,
|
|
);
|
|
})
|
|
.catch((error) => showToast("MCP execution failed", error));
|
|
}
|
|
} catch (error) {
|
|
console.error("[Check MCP JSON]", error);
|
|
}
|
|
}
|
|
},
|
|
};
|
|
|
|
return methods;
|
|
},
|
|
{
|
|
name: StoreKey.Chat,
|
|
version: 3.3,
|
|
migrate(persistedState, version) {
|
|
const state = persistedState as any;
|
|
const newState = JSON.parse(
|
|
JSON.stringify(state),
|
|
) as typeof DEFAULT_CHAT_STATE;
|
|
|
|
if (version < 2) {
|
|
newState.sessions = [];
|
|
|
|
const oldSessions = state.sessions;
|
|
for (const oldSession of oldSessions) {
|
|
const newSession = createEmptySession();
|
|
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;
|
|
}
|
|
});
|
|
}
|
|
|
|
// add default summarize model for every session
|
|
if (version < 3.2) {
|
|
newState.sessions.forEach((s) => {
|
|
const config = useAppConfig.getState();
|
|
s.mask.modelConfig.compressModel = config.modelConfig.compressModel;
|
|
s.mask.modelConfig.compressProviderName =
|
|
config.modelConfig.compressProviderName;
|
|
});
|
|
}
|
|
// revert default summarize model for every session
|
|
if (version < 3.3) {
|
|
newState.sessions.forEach((s) => {
|
|
const config = useAppConfig.getState();
|
|
s.mask.modelConfig.compressModel = "";
|
|
s.mask.modelConfig.compressProviderName = "";
|
|
});
|
|
}
|
|
|
|
return newState as any;
|
|
},
|
|
},
|
|
);
|