import { LLMModel } from "../client/api"; import { DalleSize, DalleQuality, DalleStyle } from "../typing"; import { getClientConfig } from "../config/client"; import { DEFAULT_INPUT_TEMPLATE, DEFAULT_MODELS, DEFAULT_SIDEBAR_WIDTH, DEFAULT_TTS_ENGINE, DEFAULT_TTS_ENGINES, DEFAULT_TTS_MODEL, DEFAULT_TTS_MODELS, DEFAULT_TTS_VOICE, DEFAULT_TTS_VOICES, StoreKey, ServiceProvider, } from "../constant"; import { createPersistStore } from "../utils/store"; export type ModelType = (typeof DEFAULT_MODELS)[number]["name"]; export type TTSModelType = (typeof DEFAULT_TTS_MODELS)[number]; export type TTSVoiceType = (typeof DEFAULT_TTS_VOICES)[number]; export type TTSEngineType = (typeof DEFAULT_TTS_ENGINES)[number]; export enum SubmitKey { Enter = "Enter", CtrlEnter = "Ctrl + Enter", ShiftEnter = "Shift + Enter", AltEnter = "Alt + Enter", MetaEnter = "Meta + Enter", } export enum Theme { Auto = "auto", Dark = "dark", Light = "light", } const config = getClientConfig(); export const DEFAULT_CONFIG = { lastUpdate: Date.now(), // timestamp, to merge state submitKey: SubmitKey.Enter, avatar: "1f603", fontSize: 14, fontFamily: "", theme: Theme.Auto as Theme, tightBorder: !!config?.isApp, sendPreviewBubble: true, enableAutoGenerateTitle: true, sidebarWidth: DEFAULT_SIDEBAR_WIDTH, enableArtifacts: true, // show artifacts config disablePromptHint: false, dontShowMaskSplashScreen: false, // dont show splash screen when create chat hideBuiltinMasks: false, // dont add builtin masks customModels: "", models: DEFAULT_MODELS as any as LLMModel[], modelConfig: { model: "gpt-4o-mini" as ModelType, providerName: "OpenAI" as ServiceProvider, temperature: 0.5, top_p: 1, max_tokens: 4000, presence_penalty: 0, frequency_penalty: 0, sendMemory: true, historyMessageCount: 4, compressMessageLengthThreshold: 1000, compressModel: "", compressProviderName: "", enableInjectSystemPrompts: true, template: config?.template ?? DEFAULT_INPUT_TEMPLATE, size: "1024x1024" as DalleSize, quality: "standard" as DalleQuality, style: "vivid" as DalleStyle, }, ttsConfig: { enable: false, autoplay: false, engine: DEFAULT_TTS_ENGINE, model: DEFAULT_TTS_MODEL, voice: DEFAULT_TTS_VOICE, speed: 1.0, }, }; export type ChatConfig = typeof DEFAULT_CONFIG; export type ModelConfig = ChatConfig["modelConfig"]; export type TTSConfig = ChatConfig["ttsConfig"]; export function limitNumber( x: number, min: number, max: number, defaultValue: number, ) { if (isNaN(x)) { return defaultValue; } return Math.min(max, Math.max(min, x)); } export const TTSConfigValidator = { engine(x: string) { return x as TTSEngineType; }, model(x: string) { return x as TTSModelType; }, voice(x: string) { return x as TTSVoiceType; }, speed(x: number) { return limitNumber(x, 0.25, 4.0, 1.0); }, }; export const ModalConfigValidator = { model(x: string) { return x as ModelType; }, max_tokens(x: number) { return limitNumber(x, 0, 512000, 1024); }, presence_penalty(x: number) { return limitNumber(x, -2, 2, 0); }, frequency_penalty(x: number) { return limitNumber(x, -2, 2, 0); }, temperature(x: number) { return limitNumber(x, 0, 2, 1); }, top_p(x: number) { return limitNumber(x, 0, 1, 1); }, }; export const useAppConfig = createPersistStore( { ...DEFAULT_CONFIG }, (set, get) => ({ reset() { set(() => ({ ...DEFAULT_CONFIG })); }, mergeModels(newModels: LLMModel[]) { if (!newModels || newModels.length === 0) { return; } const oldModels = get().models; const modelMap: Record = {}; for (const model of oldModels) { model.available = false; modelMap[`${model.name}@${model?.provider?.id}`] = model; } for (const model of newModels) { model.available = true; modelMap[`${model.name}@${model?.provider?.id}`] = model; } set(() => ({ models: Object.values(modelMap), })); }, allModels() {}, }), { name: StoreKey.Config, version: 4.1, merge(persistedState, currentState) { const state = persistedState as ChatConfig | undefined; if (!state) return { ...currentState }; const models = currentState.models.slice(); state.models.forEach((pModel) => { const idx = models.findIndex( (v) => v.name === pModel.name && v.provider === pModel.provider, ); if (idx !== -1) models[idx] = pModel; else models.push(pModel); }); return { ...currentState, ...state, models: models }; }, migrate(persistedState, version) { const state = persistedState as ChatConfig; if (version < 3.4) { state.modelConfig.sendMemory = true; state.modelConfig.historyMessageCount = 4; state.modelConfig.compressMessageLengthThreshold = 1000; state.modelConfig.frequency_penalty = 0; state.modelConfig.top_p = 1; state.modelConfig.template = DEFAULT_INPUT_TEMPLATE; state.dontShowMaskSplashScreen = false; state.hideBuiltinMasks = false; } if (version < 3.5) { state.customModels = "claude,claude-100k"; } if (version < 3.6) { state.modelConfig.enableInjectSystemPrompts = true; } if (version < 3.7) { state.enableAutoGenerateTitle = true; } if (version < 3.8) { state.lastUpdate = Date.now(); } if (version < 3.9) { state.modelConfig.template = state.modelConfig.template !== DEFAULT_INPUT_TEMPLATE ? state.modelConfig.template : config?.template ?? DEFAULT_INPUT_TEMPLATE; } if (version < 4.1) { state.modelConfig.compressModel = DEFAULT_CONFIG.modelConfig.compressModel; state.modelConfig.compressProviderName = DEFAULT_CONFIG.modelConfig.compressProviderName; } return state as any; }, }, );