slvccans/ST-Amily2-Chat-Optimisation
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Update summarizer.js

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Wx-2025
2026-01-12 23:28:52 +08:00
committed by GitHub
parent acd56d59fe
commit b58cb1e227
1 changed files with 28 additions and 4 deletions
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32
core/summarizer.js
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@@ -300,6 +300,7 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
let worldbookContent = await getPlotOptimizedWorldbookContent(context, settings, false); // Explicitly mark as not concurrent
onProgress(getRandomText(['正在检索核心记忆碎片...', '正在唤醒沉睡的过往...', '正在回溯时间线...']), true);
// --- EJS 預處理（劇情優化專用）---
onProgress(getRandomText(['正在解析多维剧情逻辑...', '正在构建动态世界观...', '正在编译因果律...']), false);
try {
if (settings.plotOpt_ejsEnabled !== false && globalThis.EjsTemplate?.evalTemplate && globalThis.EjsTemplate?.prepareContext) {
@@ -393,11 +394,21 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
return null; // 直接中止，不送出訊息
}
onProgress(getRandomText(['正在解析多维剧情逻辑...', '正在构建动态世界观...', '正在编译因果律...']), true);
// 虚构步骤：记忆校准
onProgress(getRandomText(['正在校准记忆偏差...', '正在强化神经突触连接...', '正在同步灵魂共鸣率...']), false);
onProgress(getRandomText(['正在校准记忆偏差...', '正在强化神经突触连接...', '正在同步灵魂共鸣率...']), true);
let tableContent = '';
if (settings.plotOpt_tableEnabled) {
// Handle table enabled setting which can be boolean (legacy) or string
let tableEnabledValue = settings.plotOpt_tableEnabled;
if (tableEnabledValue === true) {
tableEnabledValue = 'main';
} else if (tableEnabledValue === false || tableEnabledValue === undefined) {
tableEnabledValue = 'disabled';
}
if (tableEnabledValue !== 'disabled') {
try {
const { convertTablesToCsvStringForContentOnly } = await import('./table-system/manager.js');
const contentOnlyTemplate = "##以下内容是故事发生的剧情中提取出的内容，已经转化为表格形式呈现给你，请将以下内容作为后续剧情的一部分参考：<表格内容>\n{{{Amily2TableDataContent}}}</表格内容>";
@@ -449,7 +460,12 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
if (settings.plotOpt_concurrentEnabled) {
onProgress(getRandomText(['正在编织思维导图 (LLM-A)...', '正在重构对话上下文 (LLM-A)...']), false);
const mainMessages = await buildPlotOptimizationMessages(mainPrompt, systemPrompt, worldbookContent, '', history, currentUserMessage);
// Determine where to send table content
const mainTableContent = tableEnabledValue === 'main' ? tableContent : '';
const concurrentTableContent = tableEnabledValue === 'concurrent' ? tableContent : '';
const mainMessages = await buildPlotOptimizationMessages(mainPrompt, systemPrompt, worldbookContent, mainTableContent, history, currentUserMessage);
onProgress(getRandomText(['正在编织思维导图 (LLM-A)...', '正在重构对话上下文 (LLM-A)...']), true);
console.groupCollapsed(`[${extensionName}] 发送给主AI的最终请求内容`);
@@ -464,6 +480,8 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
onProgress(getRandomText(['正在与核心意识同步 (LLM-A)...', '正在等待灵魂共鸣 (LLM-A)...']), true);
return res;
});
// 为并发LLM (LLM-B) 准备独立的世界书设置
const concurrentApiSettings = {
plotOpt_worldbook_enabled: settings.plotOpt_concurrentWorldbookEnabled,
plotOpt_worldbook_source: settings.plotOpt_concurrentWorldbookSource,
@@ -478,7 +496,8 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
const concurrentMainPrompt = settings.plotOpt_concurrentMainPrompt || mainPrompt;
const concurrentSystemPrompt = settings.plotOpt_concurrentSystemPrompt || systemPrompt;
const concurrentMessages = await buildPlotOptimizationMessages(concurrentMainPrompt, concurrentSystemPrompt, concurrentWorldbookContent, tableContent, history, currentUserMessage, 'concurrent_plot_optimization');
// LLM-B 的消息构建，包含表格内容和独立的世界书
const concurrentMessages = await buildPlotOptimizationMessages(concurrentMainPrompt, concurrentSystemPrompt, concurrentWorldbookContent, concurrentTableContent, history, currentUserMessage, 'concurrent_plot_optimization');
onProgress(getRandomText(['正在构建辅助思维模型 (LLM-B)...', '正在解析潜意识逻辑 (LLM-B)...']), true);
console.groupCollapsed(`[${extensionName}] 发送给并发AI的最终请求内容`);
@@ -502,12 +521,15 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
return null;
}
// Directly combine the raw text responses.
apiResponse = [mainResponse, concurrentResponse].filter(Boolean).join('\n\n');
} else {
onProgress('未启用 LLM-B (并发模型)', false, true);
onProgress(getRandomText(['正在编织思维导图...', '正在重构对话上下文...']), false);
const mainMessages = await buildPlotOptimizationMessages(mainPrompt, systemPrompt, worldbookContent, tableContent, history, currentUserMessage);
const mainTableContent = tableEnabledValue === 'main' ? tableContent : '';
const mainMessages = await buildPlotOptimizationMessages(mainPrompt, systemPrompt, worldbookContent, mainTableContent, history, currentUserMessage);
onProgress(getRandomText(['正在编织思维导图...', '正在重构对话上下文...']), true);
console.groupCollapsed(`[${extensionName}] 发送给主AI的最终请求内容`);
@@ -565,6 +587,8 @@ export async function processPlotOptimization(currentUserMessage, contextMessage
console.log(apiResponse);
console.groupEnd();
// In concurrent mode, apiResponse is the combined pure text.
// In single mode, we still need to extract the plot tag if it exists.
const optimizedContent = settings.plotOpt_concurrentEnabled
? apiResponse
: (extractContentByTag(apiResponse, 'plot') || apiResponse).trim();