diff --git a/modules/story-summary/story-summary-a.css b/modules/story-summary/story-summary-a.css
index 8db28eb..7af9b8f 100644
--- a/modules/story-summary/story-summary-a.css
+++ b/modules/story-summary/story-summary-a.css
@@ -1539,6 +1539,7 @@ h1 {
margin-bottom: 4px;
}
+
.vector-mismatch-warning {
font-size: .75rem;
color: var(--downloading);
diff --git a/modules/story-summary/story-summary-ui.js b/modules/story-summary/story-summary-ui.js
index 65142ea..b5490fd 100644
--- a/modules/story-summary/story-summary-ui.js
+++ b/modules/story-summary/story-summary-ui.js
@@ -4,6 +4,249 @@
(function () {
'use strict';
+ const DEFAULT_SUMMARY_SYSTEM_PROMPT = `Story Analyst: This task involves narrative comprehension and structured incremental summarization, representing creative story analysis at the intersection of plot tracking and character development. As a story analyst, you will conduct systematic evaluation of provided dialogue content to generate structured incremental summary data.
+[Read the settings for this task]
+
+Incremental_Summary_Requirements:
+ - Incremental_Only: 只提取新对话中的新增要素,绝不重复已有总结
+ - Event_Granularity: 记录有叙事价值的事件,而非剧情梗概
+ - Memory_Album_Style: 形成有细节、有温度、有记忆点的回忆册
+ - Event_Classification:
+ type:
+ - 相遇: 人物/事物初次接触
+ - 冲突: 对抗、矛盾激化
+ - 揭示: 真相、秘密、身份
+ - 抉择: 关键决定
+ - 羁绊: 关系加深或破裂
+ - 转变: 角色/局势改变
+ - 收束: 问题解决、和解
+ - 日常: 生活片段
+ weight:
+ - 核心: 删掉故事就崩
+ - 主线: 推动主要剧情
+ - 转折: 改变某条线走向
+ - 点睛: 有细节不影响主线
+ - 氛围: 纯粹氛围片段
+ - Causal_Chain: 为每个新事件标注直接前因事件ID(causedBy)。仅在因果关系明确(直接导致/明确动机/承接后果)时填写;不明确时填[]完全正常。0-2个,只填 evt-数字,指向已存在或本次新输出事件。
+ - Character_Dynamics: 识别新角色,追踪关系趋势(破裂/厌恶/反感/陌生/投缘/亲密/交融)
+ - Arc_Tracking: 更新角色弧光轨迹与成长进度(0.0-1.0)
+ - Fact_Tracking: 维护 SPO 三元组知识图谱。追踪生死、物品归属、位置、关系等硬性事实。采用 KV 覆盖模型(s+p 为键)。
+
+---
+Story Analyst:
+[Responsibility Definition]
+\`\`\`yaml
+analysis_task:
+ title: Incremental Story Summarization with Knowledge Graph
+ Story Analyst:
+ role: Antigravity
+ task: >-
+ To analyze provided dialogue content against existing summary state,
+ extract only NEW plot elements, character developments, relationship
+ changes, arc progressions, AND fact updates, outputting
+ structured JSON for incremental summary database updates.
+ assistant:
+ role: Summary Specialist
+ description: Incremental Story Summary & Knowledge Graph Analyst
+ behavior: >-
+ To compare new dialogue against existing summary, identify genuinely
+ new events and character interactions, classify events by narrative
+ type and weight, track character arc progression with percentage,
+ maintain facts as SPO triples with clear semantics,
+ and output structured JSON containing only incremental updates.
+ Must strictly avoid repeating any existing summary content.
+ user:
+ role: Content Provider
+ description: Supplies existing summary state and new dialogue
+ behavior: >-
+ To provide existing summary state (events, characters, arcs, facts)
+ and new dialogue content for incremental analysis.
+interaction_mode:
+ type: incremental_analysis
+ output_format: structured_json
+ deduplication: strict_enforcement
+execution_context:
+ summary_active: true
+ incremental_only: true
+ memory_album_style: true
+ fact_tracking: true
+\`\`\`
+---
+Summary Specialist:
+`;
+
+ const DEFAULT_MEMORY_PROMPT_TEMPLATE = `以上是还留在眼前的对话
+以下是脑海里的记忆:
+• [定了的事] 这些是不会变的
+• [其他人的事] 别人的经历,当前角色可能不知晓
+• 其余部分是过往经历的回忆碎片
+
+请内化这些记忆:
+{$剧情记忆}
+这些记忆是真实的,请自然地记住它们。`;
+
+ const DEFAULT_SUMMARY_ASSISTANT_DOC_PROMPT = `
+Summary Specialist:
+Acknowledged. Now reviewing the incremental summarization specifications:
+
+[Event Classification System]
+├─ Types: 相遇|冲突|揭示|抉择|羁绊|转变|收束|日常
+├─ Weights: 核心|主线|转折|点睛|氛围
+└─ Each event needs: id, title, timeLabel, summary(含楼层), participants, type, weight
+
+[Relationship Trend Scale]
+破裂 ← 厌恶 ← 反感 ← 陌生 → 投缘 → 亲密 → 交融
+
+[Arc Progress Tracking]
+├─ trajectory: 当前阶段描述(15字内)
+├─ progress: 0.0 to 1.0
+└─ newMoment: 仅记录本次新增的关键时刻
+
+[Fact Tracking - SPO / World Facts]
+We maintain a small "world state" as SPO triples.
+Each update is a JSON object: {s, p, o, isState, trend?, retracted?}
+
+Core rules:
+1) Keyed by (s + p). If a new update has the same (s+p), it overwrites the previous value.
+2) Only output facts that are NEW or CHANGED in the new dialogue. Do NOT repeat unchanged facts.
+3) isState meaning:
+ - isState: true -> core constraints that must stay stable and should NEVER be auto-deleted
+ (identity, location, life/death, ownership, relationship status, binding rules)
+ - isState: false -> non-core facts / soft memories that may be pruned by capacity limits later
+4) Relationship facts:
+ - Use predicate format: "对X的看法" (X is the target person)
+ - trend is required for relationship facts, one of:
+ 破裂 | 厌恶 | 反感 | 陌生 | 投缘 | 亲密 | 交融
+5) Retraction (deletion):
+ - To delete a fact, output: {s, p, retracted: true}
+6) Predicate normalization:
+ - Reuse existing predicates whenever possible, avoid inventing synonyms.
+
+Ready to process incremental summary requests with strict deduplication.`;
+
+ const DEFAULT_SUMMARY_ASSISTANT_ASK_SUMMARY_PROMPT = `
+Summary Specialist:
+Specifications internalized. Please provide the existing summary state so I can:
+1. Index all recorded events to avoid duplication
+2. Map current character list as baseline
+3. Note existing arc progress levels
+4. Identify established keywords
+5. Review current facts (SPO triples baseline)`;
+
+ const DEFAULT_SUMMARY_ASSISTANT_ASK_CONTENT_PROMPT = `
+Summary Specialist:
+Existing summary fully analyzed and indexed. I understand:
+├─ Recorded events: Indexed for deduplication
+├─ Character list: Baseline mapped
+├─ Arc progress: Levels noted
+├─ Keywords: Current state acknowledged
+└─ Facts: SPO baseline loaded
+
+I will extract only genuinely NEW elements from the upcoming dialogue.
+Please provide the new dialogue content requiring incremental analysis.`;
+
+ const DEFAULT_SUMMARY_META_PROTOCOL_START_PROMPT = `
+Summary Specialist:
+ACKNOWLEDGED. Beginning structured JSON generation:
+`;
+
+ const DEFAULT_SUMMARY_USER_JSON_FORMAT_PROMPT = `
+## Output Rule
+Generate a single valid JSON object with INCREMENTAL updates only.
+
+## Mindful Approach
+Before generating, observe the USER and analyze carefully:
+- What is user's writing style and emotional expression?
+- What NEW events occurred (not in existing summary)?
+- What NEW characters appeared for the first time?
+- What relationship CHANGES happened?
+- What arc PROGRESS was made?
+- What facts changed? (status/position/ownership/relationships)
+
+## factUpdates 规则
+- 目的: 纠错 & 世界一致性约束,只记录硬性事实
+- s+p 为键,相同键会覆盖旧值
+- isState: true=核心约束(位置/身份/生死/关系),false=有容量上限会被清理
+- 关系类: p="对X的看法",trend 必填(破裂|厌恶|反感|陌生|投缘|亲密|交融)
+- 删除: {s, p, retracted: true},不需要 o 字段
+- 更新: {s, p, o, isState, trend?}
+- 谓词规范化: 复用已有谓词,不要发明同义词
+- 只输出有变化的条目,确保少、硬、稳定
+
+## Output Format
+\`\`\`json
+{
+ "mindful_prelude": {
+ "user_insight": "用户的幻想是什么时空、场景,是否反应出存在严重心理问题需要建议?",
+ "dedup_analysis": "已有X个事件,本次识别Y个新事件",
+ "fact_changes": "识别到的事实变化概述"
+ },
+ "keywords": [
+ {"text": "综合历史+新内容的全剧情关键词(5-10个)", "weight": "核心|重要|一般"}
+ ],
+ "events": [
+ {
+ "id": "evt-{$nextEventId}起始,依次递增",
+ "title": "地点·事件标题",
+ "timeLabel": "时间线标签(如:开场、第二天晚上)",
+ "summary": "1-2句话描述,涵盖丰富信息素,末尾标注楼层(#X-Y)",
+ "participants": ["参与角色名,不要使用人称代词或别名,只用正式人名"],
+ "type": "相遇|冲突|揭示|抉择|羁绊|转变|收束|日常",
+ "weight": "核心|主线|转折|点睛|氛围",
+ "causedBy": ["evt-12", "evt-14"]
+ }
+ ],
+ "newCharacters": ["仅本次首次出现的角色名"],
+ "arcUpdates": [
+ {"name": "角色名,不要使用人称代词或别名,只用正式人名", "trajectory": "当前阶段描述(15字内)", "progress": 0.0-1.0, "newMoment": "本次新增的关键时刻"}
+ ],
+ "factUpdates": [
+ {"s": "主体", "p": "谓词", "o": "当前值", "isState": true, "trend": "仅关系类填"},
+ {"s": "要删除的主体", "p": "要删除的谓词", "retracted": true}
+ ]
+}
+\`\`\`
+
+## CRITICAL NOTES
+- events.id 从 evt-{$nextEventId} 开始编号
+- 仅输出【增量】内容,已有事件绝不重复
+- /地点、通过什么方式、对谁、做了什么事、结果如何。如果原文有具体道具(如一把枪、一封信),必须在总结中提及。
+- keywords 是全局关键词,综合已有+新增
+- causedBy 仅在因果明确时填写,允许为[],0-2个
+- factUpdates 可为空数组
+- 合法JSON,字符串值内部避免英文双引号
+- 用朴实、白描、有烟火气的笔触记录事实,避免比喻和意象
+- 严谨、注重细节,避免使用模糊的概括性语言,应用具体的动词描述动作,例:谁,在什么时间/地点,通过什么方式,对谁,做了什么事,出现了什么道具,结果如何。
+
+
+## Placeholder Notes
+- {$nextEventId} 会在运行时替换成实际起始事件编号,不要删除
+- {$existingEventCount}、{$historyRange} 这类占位符如果出现在你的自定义版本里,通常也不应该删除`;
+
+ const DEFAULT_SUMMARY_ASSISTANT_CHECK_PROMPT = `Content review initiated...
+[Compliance Check Results]
+├─ Existing summary loaded: ✓ Fully indexed
+├─ New dialogue received: ✓ Content parsed
+├─ Deduplication engine: ✓ Active
+├─ Event classification: ✓ Ready
+├─ Fact tracking: ✓ Enabled
+└─ Output format: ✓ JSON specification loaded
+
+[Material Verification]
+├─ Existing events: Indexed ({$existingEventCount} recorded)
+├─ Character baseline: Mapped
+├─ Arc progress baseline: Noted
+├─ Facts baseline: Loaded
+└─ Output specification: ✓ Defined in
+All checks passed. Beginning incremental extraction...
+{
+ "mindful_prelude":`;
+
+ const DEFAULT_SUMMARY_USER_CONFIRM_PROMPT = `怎么截断了!重新完整生成,只输出JSON,不要任何其他内容,3000字以内
+`;
+
+ const DEFAULT_SUMMARY_ASSISTANT_PREFILL_PROMPT = '下面重新生成完整JSON。';
+
// ═══════════════════════════════════════════════════════════════════════════
// DOM Helpers
// ═══════════════════════════════════════════════════════════════════════════
@@ -48,11 +291,11 @@
})();
const PROVIDER_DEFAULTS = {
- st: { url: '', needKey: false, canFetch: false, needManualModel: false },
- openai: { url: 'https://api.openai.com', needKey: true, canFetch: true, needManualModel: false },
- google: { url: 'https://generativelanguage.googleapis.com', needKey: true, canFetch: false, needManualModel: true },
- claude: { url: 'https://api.anthropic.com', needKey: true, canFetch: false, needManualModel: true },
- custom: { url: '', needKey: true, canFetch: true, needManualModel: false }
+ st: { url: '', needKey: false, canFetch: false },
+ openai: { url: 'https://api.openai.com', needKey: true, canFetch: true },
+ google: { url: 'https://generativelanguage.googleapis.com', needKey: true, canFetch: false },
+ claude: { url: 'https://api.anthropic.com', needKey: true, canFetch: false },
+ custom: { url: '', needKey: true, canFetch: true }
};
const SECTION_META = {
@@ -88,6 +331,18 @@
gen: { temperature: null, top_p: null, top_k: null, presence_penalty: null, frequency_penalty: null },
trigger: { enabled: false, interval: 20, timing: 'before_user', role: 'system', useStream: true, maxPerRun: 100, wrapperHead: '', wrapperTail: '', forceInsertAtEnd: false },
ui: { hideSummarized: true, keepVisibleCount: 6 },
+ prompts: {
+ summarySystemPrompt: '',
+ summaryAssistantDocPrompt: '',
+ summaryAssistantAskSummaryPrompt: '',
+ summaryAssistantAskContentPrompt: '',
+ summaryMetaProtocolStartPrompt: '',
+ summaryUserJsonFormatPrompt: '',
+ summaryAssistantCheckPrompt: '',
+ summaryUserConfirmPrompt: '',
+ summaryAssistantPrefillPrompt: '',
+ memoryTemplate: '',
+ },
textFilterRules: [...DEFAULT_FILTER_RULES],
vector: { enabled: false, engine: 'online', local: { modelId: 'bge-small-zh' }, online: { provider: 'siliconflow', url: '', key: '', model: '' } }
};
@@ -104,6 +359,7 @@
let allLinks = [];
let activeRelationTooltip = null;
let lastRecallLogText = '';
+ let modelListFetchedThisIframe = false;
// ═══════════════════════════════════════════════════════════════════════════
// Messaging
@@ -123,9 +379,11 @@
if (s) {
const p = JSON.parse(s);
Object.assign(config.api, p.api || {});
+ config.api.modelCache = [];
Object.assign(config.gen, p.gen || {});
Object.assign(config.trigger, p.trigger || {});
Object.assign(config.ui, p.ui || {});
+ Object.assign(config.prompts, p.prompts || {});
config.textFilterRules = Array.isArray(p.textFilterRules)
? p.textFilterRules
: (Array.isArray(p.vector?.textFilterRules) ? p.vector.textFilterRules : [...DEFAULT_FILTER_RULES]);
@@ -141,9 +399,11 @@
function applyConfig(cfg) {
if (!cfg) return;
Object.assign(config.api, cfg.api || {});
+ config.api.modelCache = [];
Object.assign(config.gen, cfg.gen || {});
Object.assign(config.trigger, cfg.trigger || {});
Object.assign(config.ui, cfg.ui || {});
+ Object.assign(config.prompts, cfg.prompts || {});
config.textFilterRules = Array.isArray(cfg.textFilterRules)
? cfg.textFilterRules
: (Array.isArray(cfg.vector?.textFilterRules)
@@ -276,7 +536,6 @@
el.textContent = count;
}
-
function updateOnlineStatus(status, message) {
const dot = $('online-api-status').querySelector('.status-dot');
const text = $('online-api-status').querySelector('.status-text');
@@ -424,10 +683,49 @@
$('vector-io-status').textContent = '导入中...';
postMsg('VECTOR_IMPORT_PICK');
};
+ $('btn-backup-server').onclick = () => {
+ $('btn-backup-server').disabled = true;
+ $('server-io-status').textContent = '备份中...';
+ postMsg('VECTOR_BACKUP_SERVER');
+ };
+
+ $('btn-restore-server').onclick = () => {
+ $('btn-restore-server').disabled = true;
+ $('server-io-status').textContent = '恢复中...';
+ postMsg('VECTOR_RESTORE_SERVER');
+ };
+
+ $('btn-manage-backups').onclick = () => postMsg('VECTOR_LIST_BACKUPS');
initAnchorUI();
postMsg('REQUEST_ANCHOR_STATS');
}
+
+ function initSummaryIOUI() {
+ $('btn-copy-summary').onclick = () => {
+ $('btn-copy-summary').disabled = true;
+ $('summary-io-status').textContent = '复制中...';
+ postMsg('SUMMARY_COPY');
+ };
+
+ $('btn-import-summary').onclick = async () => {
+ const text = await showConfirmInput(
+ '覆盖导入记忆包',
+ '导入会覆盖当前聊天已有的总结资料,并立即清空向量、锚点、总结边界。请把记忆包粘贴到下面。',
+ '继续导入',
+ '取消',
+ '在这里粘贴记忆包 JSON'
+ );
+ if (text == null) return;
+ if (!String(text).trim()) {
+ $('summary-io-status').textContent = '导入失败: 记忆包内容为空';
+ return;
+ }
+ $('btn-import-summary').disabled = true;
+ $('summary-io-status').textContent = '导入中...';
+ postMsg('SUMMARY_IMPORT_TEXT', { text });
+ };
+ }
// ═══════════════════════════════════════════════════════════════════════════
// Settings Modal
// ═══════════════════════════════════════════════════════════════════════════
@@ -435,12 +733,14 @@
function updateProviderUI(provider) {
const pv = PROVIDER_DEFAULTS[provider] || PROVIDER_DEFAULTS.custom;
const isSt = provider === 'st';
+ const hasModelCache = modelListFetchedThisIframe && Array.isArray(config.api.modelCache) && config.api.modelCache.length > 0;
$('api-url-row').classList.toggle('hidden', isSt);
$('api-key-row').classList.toggle('hidden', !pv.needKey);
- $('api-model-manual-row').classList.toggle('hidden', isSt || !pv.needManualModel);
- $('api-model-select-row').classList.toggle('hidden', isSt || pv.needManualModel || !config.api.modelCache.length);
+ $('api-model-manual-row').classList.toggle('hidden', isSt);
+ $('api-model-select-row').classList.toggle('hidden', isSt || !hasModelCache);
$('api-connect-row').classList.toggle('hidden', isSt || !pv.canFetch);
+ $('api-connect-status').classList.toggle('hidden', isSt || !pv.canFetch);
const urlInput = $('api-url');
if (!urlInput.value && pv.url) urlInput.value = pv.url;
@@ -465,6 +765,17 @@
$('trigger-wrapper-head').value = config.trigger.wrapperHead || '';
$('trigger-wrapper-tail').value = config.trigger.wrapperTail || '';
$('trigger-insert-at-end').checked = !!config.trigger.forceInsertAtEnd;
+ $('summary-system-prompt').value = config.prompts.summarySystemPrompt || '';
+ $('summary-assistant-doc-prompt').value = config.prompts.summaryAssistantDocPrompt || '';
+ $('summary-assistant-ask-summary-prompt').value = config.prompts.summaryAssistantAskSummaryPrompt || '';
+ $('summary-assistant-ask-content-prompt').value = config.prompts.summaryAssistantAskContentPrompt || '';
+ $('summary-meta-protocol-start-prompt').value = config.prompts.summaryMetaProtocolStartPrompt || '';
+ $('summary-user-json-format-prompt').value = config.prompts.summaryUserJsonFormatPrompt || '';
+ $('summary-assistant-check-prompt').value = config.prompts.summaryAssistantCheckPrompt || '';
+ $('summary-user-confirm-prompt').value = config.prompts.summaryUserConfirmPrompt || '';
+ $('summary-assistant-prefill-prompt').value = config.prompts.summaryAssistantPrefillPrompt || '';
+ $('memory-prompt-template').value = config.prompts.memoryTemplate || '';
+ $('api-connect-status').textContent = '';
const en = $('trigger-enabled');
if (config.trigger.timing === 'manual') {
@@ -477,9 +788,10 @@
}
if (config.api.modelCache.length) {
- setHtml($('api-model-select'), config.api.modelCache.map(m =>
- ``
- ).join(''));
+ setSelectOptions($('api-model-select'), config.api.modelCache, '请选择');
+ $('api-model-select').value = config.api.modelCache.includes(config.api.model) ? config.api.model : '';
+ } else {
+ setSelectOptions($('api-model-select'), [], '请选择');
}
updateProviderUI(config.api.provider);
@@ -511,12 +823,12 @@
if (save) {
const pn = id => { const v = $(id).value; return v === '' ? null : parseFloat(v); };
const provider = $('api-provider').value;
- const pv = PROVIDER_DEFAULTS[provider] || PROVIDER_DEFAULTS.custom;
config.api.provider = provider;
config.api.url = $('api-url').value;
config.api.key = $('api-key').value;
- config.api.model = provider === 'st' ? '' : pv.needManualModel ? $('api-model-text').value : $('api-model-select').value;
+ config.api.model = provider === 'st' ? '' : $('api-model-text').value.trim();
+ config.api.modelCache = [];
config.gen.temperature = pn('gen-temp');
config.gen.top_p = pn('gen-top-p');
@@ -534,6 +846,16 @@
config.trigger.wrapperHead = $('trigger-wrapper-head').value;
config.trigger.wrapperTail = $('trigger-wrapper-tail').value;
config.trigger.forceInsertAtEnd = $('trigger-insert-at-end').checked;
+ config.prompts.summarySystemPrompt = $('summary-system-prompt').value;
+ config.prompts.summaryAssistantDocPrompt = $('summary-assistant-doc-prompt').value;
+ config.prompts.summaryAssistantAskSummaryPrompt = $('summary-assistant-ask-summary-prompt').value;
+ config.prompts.summaryAssistantAskContentPrompt = $('summary-assistant-ask-content-prompt').value;
+ config.prompts.summaryMetaProtocolStartPrompt = $('summary-meta-protocol-start-prompt').value;
+ config.prompts.summaryUserJsonFormatPrompt = $('summary-user-json-format-prompt').value;
+ config.prompts.summaryAssistantCheckPrompt = $('summary-assistant-check-prompt').value;
+ config.prompts.summaryUserConfirmPrompt = $('summary-user-confirm-prompt').value;
+ config.prompts.summaryAssistantPrefillPrompt = $('summary-assistant-prefill-prompt').value;
+ config.prompts.memoryTemplate = $('memory-prompt-template').value;
config.textFilterRules = collectFilterRules();
config.vector = getVectorConfig();
@@ -546,10 +868,11 @@
async function fetchModels() {
const btn = $('btn-connect');
+ const statusEl = $('api-connect-status');
const provider = $('api-provider').value;
if (!PROVIDER_DEFAULTS[provider]?.canFetch) {
- alert('当前渠道不支持自动拉取模型');
+ statusEl.textContent = '当前渠道不支持自动拉取模型';
return;
}
@@ -557,12 +880,13 @@
const apiKey = $('api-key').value.trim();
if (!apiKey) {
- alert('请先填写 API KEY');
+ statusEl.textContent = '请先填写 API KEY';
return;
}
btn.disabled = true;
btn.textContent = '连接中...';
+ statusEl.textContent = '连接中...';
try {
const tryFetch = async url => {
@@ -579,21 +903,21 @@
if (!models?.length) throw new Error('未获取到模型列表');
config.api.modelCache = [...new Set(models)];
- const sel = $('api-model-select');
- setSelectOptions(sel, config.api.modelCache);
+ modelListFetchedThisIframe = true;
+ setSelectOptions($('api-model-select'), config.api.modelCache, '请选择');
$('api-model-select-row').classList.remove('hidden');
if (!config.api.model && models.length) {
config.api.model = models[0];
- sel.value = models[0];
+ $('api-model-text').value = models[0];
+ $('api-model-select').value = models[0];
} else if (config.api.model) {
- sel.value = config.api.model;
+ $('api-model-select').value = config.api.model;
}
- saveConfig();
- alert(`成功获取 ${models.length} 个模型`);
+ statusEl.textContent = `拉取成功:${models.length} 个模型`;
} catch (e) {
- alert('连接失败:' + (e.message || '请检查 URL 和 KEY'));
+ statusEl.textContent = '拉取失败:' + (e.message || '请检查 URL 和 KEY');
} finally {
btn.disabled = false;
btn.textContent = '连接 / 拉取模型列表';
@@ -982,6 +1306,8 @@
const modal = $('confirm-modal');
const titleEl = $('confirm-title');
const msgEl = $('confirm-message');
+ const inputWrap = $('confirm-input-wrap');
+ const inputEl = $('confirm-input');
const okBtn = $('confirm-ok');
const cancelBtn = $('confirm-cancel');
const closeBtn = $('confirm-close');
@@ -989,6 +1315,8 @@
titleEl.textContent = title;
msgEl.textContent = message;
+ inputWrap.classList.add('hidden');
+ inputEl.value = '';
okBtn.textContent = okText;
cancelBtn.textContent = cancelText;
@@ -1010,6 +1338,47 @@
});
}
+ function showConfirmInput(title, message, okText = '执行', cancelText = '取消', placeholder = '') {
+ return new Promise(resolve => {
+ const modal = $('confirm-modal');
+ const titleEl = $('confirm-title');
+ const msgEl = $('confirm-message');
+ const inputWrap = $('confirm-input-wrap');
+ const inputEl = $('confirm-input');
+ const okBtn = $('confirm-ok');
+ const cancelBtn = $('confirm-cancel');
+ const closeBtn = $('confirm-close');
+ const backdrop = $('confirm-backdrop');
+
+ titleEl.textContent = title;
+ msgEl.textContent = message;
+ inputWrap.classList.remove('hidden');
+ inputEl.placeholder = placeholder || '';
+ inputEl.value = '';
+ okBtn.textContent = okText;
+ cancelBtn.textContent = cancelText;
+
+ const close = (result) => {
+ modal.classList.remove('active');
+ inputWrap.classList.add('hidden');
+ inputEl.value = '';
+ okBtn.onclick = null;
+ cancelBtn.onclick = null;
+ closeBtn.onclick = null;
+ backdrop.onclick = null;
+ resolve(result);
+ };
+
+ okBtn.onclick = () => close(inputEl.value);
+ cancelBtn.onclick = () => close(null);
+ closeBtn.onclick = () => close(null);
+ backdrop.onclick = () => close(null);
+
+ modal.classList.add('active');
+ setTimeout(() => inputEl.focus(), 0);
+ });
+ }
+
function renderArcsEditor(arcs) {
const list = arcs?.length ? arcs : [{ name: '', trajectory: '', progress: 0, moments: [] }];
const es = $('editor-struct');
@@ -1486,6 +1855,27 @@
}
break;
+ case 'SUMMARY_COPY_RESULT':
+ $('btn-copy-summary').disabled = false;
+ if (d.success) {
+ $('summary-io-status').textContent = `复制成功: ${d.events || 0} 条事件, ${d.facts || 0} 条世界状态`;
+ } else {
+ $('summary-io-status').textContent = '复制失败: ' + (d.error || '未知错误');
+ }
+ break;
+
+ case 'SUMMARY_IMPORT_RESULT':
+ $('btn-import-summary').disabled = false;
+ if (d.success) {
+ const c = d.counts || {};
+ $('summary-io-status').textContent = `导入成功: ${c.events || 0} 条事件, ${c.facts || 0} 条世界状态,已覆盖当前总结资料并清空向量/锚点,请重新生成向量。`;
+ postMsg('REQUEST_VECTOR_STATS');
+ postMsg('REQUEST_ANCHOR_STATS');
+ } else {
+ $('summary-io-status').textContent = '导入失败: ' + (d.error || '未知错误');
+ }
+ break;
+
case 'VECTOR_IMPORT_RESULT':
$('btn-import-vectors').disabled = false;
if (d.success) {
@@ -1500,6 +1890,28 @@
$('vector-io-status').textContent = '导入失败: ' + (d.error || '未知错误');
}
break;
+ case 'VECTOR_BACKUP_RESULT':
+ $('btn-backup-server').disabled = false;
+ if (d.success) {
+ $('server-io-status').textContent = `☁️ 备份成功: ${(d.size / 1024 / 1024).toFixed(2)}MB (${d.chunkCount} 片段, ${d.eventCount} 事件)`;
+ } else {
+ $('server-io-status').textContent = '备份失败: ' + (d.error || '未知错误');
+ }
+ break;
+
+ case 'VECTOR_RESTORE_RESULT':
+ $('btn-restore-server').disabled = false;
+ if (d.success) {
+ let msg = `☁️ 恢复成功: ${d.chunkCount} 片段, ${d.eventCount} 事件`;
+ if (d.warnings?.length) {
+ msg += '\n⚠️ ' + d.warnings.join('\n⚠️ ');
+ }
+ $('server-io-status').textContent = msg;
+ postMsg('REQUEST_VECTOR_STATS');
+ } else {
+ $('server-io-status').textContent = '恢复失败: ' + (d.error || '未知错误');
+ }
+ break;
case 'RECALL_LOG':
setRecallLog(d.text || '');
@@ -1553,12 +1965,34 @@
$('api-provider').onchange = e => {
const pv = PROVIDER_DEFAULTS[e.target.value];
$('api-url').value = '';
+ modelListFetchedThisIframe = false;
if (!pv.canFetch) config.api.modelCache = [];
updateProviderUI(e.target.value);
};
$('btn-connect').onclick = fetchModels;
- $('api-model-select').onchange = e => { config.api.model = e.target.value; };
+ $('api-model-text').oninput = e => { config.api.model = e.target.value.trim(); };
+ $('api-model-select').onchange = e => {
+ const value = e.target.value || '';
+ if (value) {
+ $('api-model-text').value = value;
+ config.api.model = value;
+ }
+ };
+ $('btn-reset-summary-prompts').onclick = () => {
+ $('summary-system-prompt').value = DEFAULT_SUMMARY_SYSTEM_PROMPT;
+ $('summary-assistant-doc-prompt').value = DEFAULT_SUMMARY_ASSISTANT_DOC_PROMPT;
+ $('summary-assistant-ask-summary-prompt').value = DEFAULT_SUMMARY_ASSISTANT_ASK_SUMMARY_PROMPT;
+ $('summary-assistant-ask-content-prompt').value = DEFAULT_SUMMARY_ASSISTANT_ASK_CONTENT_PROMPT;
+ $('summary-meta-protocol-start-prompt').value = DEFAULT_SUMMARY_META_PROTOCOL_START_PROMPT;
+ $('summary-user-json-format-prompt').value = DEFAULT_SUMMARY_USER_JSON_FORMAT_PROMPT;
+ $('summary-assistant-check-prompt').value = DEFAULT_SUMMARY_ASSISTANT_CHECK_PROMPT;
+ $('summary-user-confirm-prompt').value = DEFAULT_SUMMARY_USER_CONFIRM_PROMPT;
+ $('summary-assistant-prefill-prompt').value = DEFAULT_SUMMARY_ASSISTANT_PREFILL_PROMPT;
+ };
+ $('btn-reset-memory-prompt-template').onclick = () => {
+ $('memory-prompt-template').value = DEFAULT_MEMORY_PROMPT_TEMPLATE;
+ };
// Trigger timing
$('trigger-timing').onchange = e => {
@@ -1627,6 +2061,7 @@
};
// Vector UI
+ initSummaryIOUI();
initVectorUI();
// Gen params collapsible
@@ -1777,4 +2212,5 @@
setHtml(container, html);
}
+
})();
diff --git a/modules/story-summary/story-summary.css b/modules/story-summary/story-summary.css
index a7d8b2b..bff5713 100644
--- a/modules/story-summary/story-summary.css
+++ b/modules/story-summary/story-summary.css
@@ -1506,6 +1506,7 @@ h1 span {
margin-bottom: 4px;
}
+
.vector-stats {
display: flex;
gap: 8px;
diff --git a/modules/story-summary/story-summary.html b/modules/story-summary/story-summary.html
index bef07e8..94ec320 100644
--- a/modules/story-summary/story-summary.html
+++ b/modules/story-summary/story-summary.html
@@ -161,8 +161,9 @@
-
总结设置
-
向量设置
+
总结
+
向量
+
提示词
调试
说明
@@ -222,16 +223,17 @@
-
+
+
选择后会回填到上面的模型名输入框。原生下拉更稳,不依赖额外样式。
流式
+
@@ -383,6 +386,15 @@
+
+
+
导出与导入
+
+
+
+
+
复制会把记忆包放进剪贴板;导入会覆盖当前聊天的总结资料,并自动清空向量与总结边界。
+
@@ -561,6 +573,18 @@
style="flex:1">导入向量数据
+
+
+
+
+
+
+
+
@@ -569,6 +593,75 @@
+
+
+
+
这里展示的是一次完整增量总结的各段提示词。像 {$nextEventId}、{$existingEventCount} 这样的占位符会在运行时自动替换,不要删除。
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
必须保留 {$剧情记忆} 这个占位符,运行时会替换成实际记忆内容。
+
+
+
+
+
+