Add custom chain of thought feature and max thought tag depth setting
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@@ -485,4 +485,7 @@ export const languageEnglish = {
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exportAsDataset: "Export Save as Dataset",
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editTranslationDisplay: "Edit Translation Display",
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selectModel: "Select Model",
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autoRemoveThoughtTag: "Remove Thought Tag",
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customChainOfThought: "Custom Chain of Thoughts",
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maxThoughtTagDepth: "Max Thought Tag Depth",
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}
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@@ -7,6 +7,7 @@
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import { DataBase } from "src/ts/storage/database";
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import Check from "src/lib/UI/GUI/CheckInput.svelte";
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import TextInput from "src/lib/UI/GUI/TextInput.svelte";
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import NumberInput from "src/lib/UI/GUI/NumberInput.svelte";
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let sorted = 0
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let opened = 0
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@@ -111,4 +112,9 @@
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<Check bind:check={$DataBase.proomptSettings.sendChatAsSystem} name={language.sendChatAsSystem} className="mt-4"/>
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<Check bind:check={$DataBase.proomptSettings.sendName} name={language.sendName} className="mt-4"/>
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<Check bind:check={$DataBase.proomptSettings.utilOverride} name={language.utilOverride} className="mt-4"/>
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<Check bind:check={$DataBase.proomptSettings.customChainOfThought} name={language.customChainOfThought} className="mt-4"/>
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{#if $DataBase.proomptSettings.customChainOfThought}
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<span class="text-textcolor mt-4">{language.maxThoughtTagDepth}</span>
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<NumberInput bind:value={$DataBase.proomptSettings.maxThoughtTagDepth}/>
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{/if}
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{/if}
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@@ -25,7 +25,7 @@
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<span>{language.type}
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</span>
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<SelectInput bind:value={proompt.type} on:change={() => {
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if(proompt.type === 'plain' || proompt.type === 'jailbreak'){
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if(proompt.type === 'plain' || proompt.type === 'jailbreak' || proompt.type === 'cot'){
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proompt.text = ""
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proompt.role = "system"
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}
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@@ -42,7 +42,9 @@
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<OptionInput value="authornote">{language.formating.authorNote}</OptionInput>
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<OptionInput value="lorebook">{language.formating.lorebook}</OptionInput>
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<OptionInput value="memory">{language.formating.memory}</OptionInput>
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{#if $DataBase.proomptSettings.customChainOfThought}
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<OptionInput value="cot">{language.cot}</OptionInput>
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{/if}
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</SelectInput>
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{#if proompt.type === 'plain' || proompt.type === 'jailbreak'}
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@@ -3,7 +3,6 @@ import { unzip } from 'fflate';
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import { loadAsset, saveAsset } from 'src/ts/storage/globalApi';
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import { selectSingleFile } from 'src/ts/util';
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import { v4 } from 'uuid';
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let tfCache:Cache = null
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let tfLoaded = false
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let tfMap:{[key:string]:string} = {}
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@@ -262,7 +262,7 @@ export async function sendChat(chatProcessIndex = -1,arg:{chatAdditonalTokens?:n
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})
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}
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if(db.chainOfThought){
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if(db.chainOfThought && (!(usingPromptTemplate && db.proomptSettings.customChainOfThought))){
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unformated.postEverything.push({
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role: 'system',
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content: `<instruction> - before respond everything, Think step by step as a ai assistant how would you respond inside <Thoughts> xml tag. this must be less than 5 paragraphs.</instruction>`
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@@ -403,10 +403,14 @@ export async function sendChat(chatProcessIndex = -1,arg:{chatAdditonalTokens?:n
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break
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}
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case 'plain':
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case 'jailbreak':{
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case 'jailbreak':
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case 'cot':{
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if((!db.jailbreakToggle) && (card.type === 'jailbreak')){
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continue
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}
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if((!db.chainOfThought) && (card.type === 'cot')){
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continue
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}
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const convertRole = {
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"system": "system",
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@@ -521,8 +525,9 @@ export async function sendChat(chatProcessIndex = -1,arg:{chatAdditonalTokens?:n
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currentTokens += triggerResult.tokens
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}
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let index = 0
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for(const msg of ms){
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let formedChat = await processScript(nowChatroom,risuChatParser(msg.data, {chara: currentChar, rmVar: true}), 'editprocess')
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let formatedChat = await processScript(nowChatroom,risuChatParser(msg.data, {chara: currentChar, rmVar: true}), 'editprocess')
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let name = ''
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if(msg.role === 'char'){
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if(msg.saying){
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@@ -541,10 +546,10 @@ export async function sendChat(chatProcessIndex = -1,arg:{chatAdditonalTokens?:n
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let inlays:string[] = []
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if(db.inlayImage){
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if(msg.role === 'char'){
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formedChat = formedChat.replace(/{{inlay::(.+?)}}/g, '')
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formatedChat = formatedChat.replace(/{{inlay::(.+?)}}/g, '')
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}
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else{
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const inlayMatch = formedChat.match(/{{inlay::(.+?)}}/g)
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const inlayMatch = formatedChat.match(/{{inlay::(.+?)}}/g)
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if(inlayMatch){
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for(const inlay of inlayMatch){
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inlays.push(inlay)
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@@ -568,25 +573,32 @@ export async function sendChat(chatProcessIndex = -1,arg:{chatAdditonalTokens?:n
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currentTokens += await tokenizer.tokenizeChat(imgchat)
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}
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}
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formedChat = formedChat.replace(inlay, '')
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formatedChat = formatedChat.replace(inlay, '')
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}
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}
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let attr:string[] = []
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if(nowChatroom.type === 'group' || (usingPromptTemplate && db.proomptSettings.sendName)){
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formedChat = name + ': ' + formedChat
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formatedChat = name + ': ' + formatedChat
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attr.push('nameAdded')
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}
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if(usingPromptTemplate && db.proomptSettings.customChainOfThought && db.proomptSettings.maxThoughtTagDepth !== -1){
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const depth = ms.length - index
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if(depth >= db.proomptSettings.maxThoughtTagDepth){
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formatedChat = formatedChat.replace(/<Thoughts>(.+?)<\/Thoughts>/gm, '')
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}
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}
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const chat:OpenAIChat = {
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role: msg.role === 'user' ? 'user' : 'assistant',
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content: formedChat,
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content: formatedChat,
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memo: msg.chatId,
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attr: attr
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}
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chats.push(chat)
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currentTokens += await tokenizer.tokenizeChat(chat)
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index++
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}
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if(nowChatroom.supaMemory && db.supaMemoryType !== 'none'){
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@@ -762,10 +774,14 @@ export async function sendChat(chatProcessIndex = -1,arg:{chatAdditonalTokens?:n
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break
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}
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case 'plain':
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case 'jailbreak':{
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case 'jailbreak':
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case 'cot':{
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if((!db.jailbreakToggle) && (card.type === 'jailbreak')){
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continue
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}
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if((!db.chainOfThought) && (card.type === 'cot')){
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continue
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}
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const convertRole = {
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"system": "system",
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@@ -8,10 +8,12 @@ export type ProomptSettings = {
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sendChatAsSystem: boolean
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sendName: boolean
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utilOverride: boolean
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customChainOfThought?: boolean
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maxThoughtTagDepth?: number
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}
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export interface ProomptPlain {
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type: 'plain'|'jailbreak';
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type: 'plain'|'jailbreak'|'cot';
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type2: 'normal'|'globalNote'|'main'
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text: string;
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role: 'user'|'bot'|'system';
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@@ -367,10 +367,13 @@ export function setDatabase(data:Database){
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postEndInnerFormat: '',
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sendChatAsSystem: false,
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sendName: false,
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utilOverride: false
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utilOverride: false,
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customChainOfThought: false,
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maxThoughtTagDepth: -1
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}
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data.keiServerURL ??= ''
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data.top_k ??= 0
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data.proomptSettings.maxThoughtTagDepth ??= -1
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changeLanguage(data.language)
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DataBase.set(data)
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