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feat(story-summary): make vector APIs configurable

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This commit is contained in:
bielie
2026-04-03 15:31:13 +08:00
parent 5424dae2d6
commit af7e0f689d
9 changed files with 468 additions and 187 deletions
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76
modules/story-summary/data/config.js
View File

@@ -254,6 +254,12 @@ export const DEFAULT_SUMMARY_USER_CONFIRM_PROMPT = `怎么截断了！重新完
</Chat_History>`;
export const DEFAULT_SUMMARY_ASSISTANT_PREFILL_PROMPT = '下面重新生成完整JSON。';
const DEFAULT_VECTOR_PROVIDER = "siliconflow";
const DEFAULT_L0_URL = "https://api.siliconflow.cn/v1";
const DEFAULT_OPENROUTER_URL = "https://openrouter.ai/api/v1";
const DEFAULT_L0_MODEL = "Qwen/Qwen3-8B";
const DEFAULT_EMBEDDING_MODEL = "BAAI/bge-m3";
const DEFAULT_RERANK_MODEL = "BAAI/bge-reranker-v2-m3";
export function getSettings() {
const ext = (extension_settings[EXT_ID] ||= {});
@@ -261,6 +267,51 @@ export function getSettings() {
return ext;
}
function normalizeOpenAiCompatApiConfig(src, defaults = {}) {
const provider = String(src?.provider || defaults.provider || DEFAULT_VECTOR_PROVIDER).toLowerCase();
const defaultUrl = provider === "openrouter"
? DEFAULT_OPENROUTER_URL
: String(defaults.url || DEFAULT_L0_URL);
return {
provider,
url: String(src?.url || defaultUrl || "").trim(),
key: String(src?.key || defaults.key || "").trim(),
model: String(src?.model || defaults.model || "").trim(),
modelCache: Array.isArray(src?.modelCache) ? src.modelCache.filter(Boolean) : [],
};
}
function normalizeVectorConfig(rawVector = null) {
const legacyOnline = rawVector?.online || {};
const sharedProvider = String(legacyOnline.provider || DEFAULT_VECTOR_PROVIDER).toLowerCase();
const sharedUrl = String(legacyOnline.url || (sharedProvider === "openrouter" ? DEFAULT_OPENROUTER_URL : DEFAULT_L0_URL)).trim();
const sharedKey = String(legacyOnline.key || "").trim();
return {
enabled: !!rawVector?.enabled,
engine: "online",
l0Concurrency: Math.max(1, Math.min(50, Number(rawVector?.l0Concurrency) || 10)),
l0Api: normalizeOpenAiCompatApiConfig(rawVector?.l0Api, {
provider: sharedProvider,
url: sharedUrl,
key: sharedKey,
model: DEFAULT_L0_MODEL,
}),
embeddingApi: normalizeOpenAiCompatApiConfig(rawVector?.embeddingApi, {
provider: DEFAULT_VECTOR_PROVIDER,
url: DEFAULT_L0_URL,
key: sharedKey,
model: DEFAULT_EMBEDDING_MODEL,
}),
rerankApi: normalizeOpenAiCompatApiConfig(rawVector?.rerankApi, {
provider: DEFAULT_VECTOR_PROVIDER,
url: DEFAULT_L0_URL,
key: sharedKey,
model: DEFAULT_RERANK_MODEL,
}),
};
}
export function getSummaryPanelConfig() {
const clampKeepVisibleCount = (value) => {
const n = Number.parseInt(value, 10);
@@ -299,7 +350,7 @@ export function getSummaryPanelConfig() {
summaryAssistantPrefillPrompt: DEFAULT_SUMMARY_ASSISTANT_PREFILL_PROMPT,
memoryTemplate: DEFAULT_MEMORY_PROMPT_TEMPLATE,
},
vector: null,
vector: normalizeVectorConfig(),
};
try {
@@ -320,7 +371,7 @@ export function getSummaryPanelConfig() {
ui: { ...defaults.ui, ...(parsed.ui || {}) },
textFilterRules,
prompts: { ...defaults.prompts, ...(parsed.prompts || {}) },
vector: parsed.vector || null,
vector: normalizeVectorConfig(parsed.vector || null),
};
if (result.trigger.timing === "manual") result.trigger.enabled = false;
@@ -349,16 +400,7 @@ export function getVectorConfig() {
if (!raw) return null;
const parsed = JSON.parse(raw);
const cfg = parsed.vector || null;
if (!cfg) return null;
// Keep vector side normalized to online + siliconflow.
cfg.engine = "online";
cfg.online = cfg.online || {};
cfg.online.provider = "siliconflow";
cfg.online.model = "BAAI/bge-m3";
return cfg;
return parsed.vector ? normalizeVectorConfig(parsed.vector) : normalizeVectorConfig();
} catch {
return null;
}
@@ -376,15 +418,7 @@ export function saveVectorConfig(vectorCfg) {
const raw = localStorage.getItem("summary_panel_config") || "{}";
const parsed = JSON.parse(raw);
parsed.vector = {
enabled: !!vectorCfg?.enabled,
engine: "online",
online: {
provider: "siliconflow",
key: vectorCfg?.online?.key || "",
model: "BAAI/bge-m3",
},
};
parsed.vector = normalizeVectorConfig(vectorCfg || null);
localStorage.setItem("summary_panel_config", JSON.stringify(parsed));
CommonSettingStorage.set(SUMMARY_CONFIG_KEY, parsed);

205
modules/story-summary/story-summary-ui.js
View File

@@ -297,6 +297,11 @@ All checks passed. Beginning incremental extraction...
claude: { url: 'https://api.anthropic.com', needKey: true, canFetch: false },
custom: { url: '', needKey: true, canFetch: true }
};
const VECTOR_PROVIDER_DEFAULTS = {
siliconflow: { url: 'https://api.siliconflow.cn/v1', needKey: true, canFetch: true },
openrouter: { url: 'https://openrouter.ai/api/v1', needKey: true, canFetch: true },
custom: { url: '', needKey: true, canFetch: true }
};
const SECTION_META = {
keywords: { title: '编辑关键词', hint: '每行一个关键词，格式：关键词|权重（核心/重要/一般）' },
@@ -344,7 +349,14 @@ All checks passed. Beginning incremental extraction...
memoryTemplate: '',
},
textFilterRules: [...DEFAULT_FILTER_RULES],
vector: { enabled: false, engine: 'online', local: { modelId: 'bge-small-zh' }, online: { provider: 'siliconflow', url: '', key: '', model: '' } }
vector: {
enabled: false,
engine: 'online',
l0Concurrency: 10,
l0Api: { provider: 'siliconflow', url: 'https://api.siliconflow.cn/v1', key: '', model: 'Qwen/Qwen3-8B', modelCache: [] },
embeddingApi: { provider: 'siliconflow', url: 'https://api.siliconflow.cn/v1', key: '', model: 'BAAI/bge-m3', modelCache: [] },
rerankApi: { provider: 'siliconflow', url: 'https://api.siliconflow.cn/v1', key: '', model: 'BAAI/bge-reranker-v2-m3', modelCache: [] }
}
};
let summaryData = { keywords: [], events: [], characters: { main: [], relationships: [] }, arcs: [], facts: [] };
@@ -369,6 +381,42 @@ All checks passed. Beginning incremental extraction...
window.parent.postMessage({ source: 'LittleWhiteBox-StoryFrame', type, ...data }, PARENT_ORIGIN);
}
function normalizeVectorConfigUI(raw = null) {
const base = JSON.parse(JSON.stringify(config.vector));
const legacyOnline = raw?.online || {};
const sharedKey = String(legacyOnline.key || '').trim();
const sharedUrl = String(legacyOnline.url || '').trim();
if (raw) {
base.enabled = !!raw.enabled;
base.engine = 'online';
base.l0Concurrency = Math.max(1, Math.min(50, Number(raw.l0Concurrency) || 10));
Object.assign(base.l0Api, {
provider: raw.l0Api?.provider || legacyOnline.provider || base.l0Api.provider,
url: raw.l0Api?.url || sharedUrl || base.l0Api.url,
key: raw.l0Api?.key || sharedKey || base.l0Api.key,
model: raw.l0Api?.model || base.l0Api.model,
modelCache: Array.isArray(raw.l0Api?.modelCache) ? raw.l0Api.modelCache : [],
});
Object.assign(base.embeddingApi, {
provider: raw.embeddingApi?.provider || base.embeddingApi.provider,
url: raw.embeddingApi?.url || sharedUrl || base.embeddingApi.url,
key: raw.embeddingApi?.key || sharedKey || base.embeddingApi.key,
model: raw.embeddingApi?.model || legacyOnline.model || base.embeddingApi.model,
modelCache: Array.isArray(raw.embeddingApi?.modelCache) ? raw.embeddingApi.modelCache : [],
});
Object.assign(base.rerankApi, {
provider: raw.rerankApi?.provider || base.rerankApi.provider,
url: raw.rerankApi?.url || sharedUrl || base.rerankApi.url,
key: raw.rerankApi?.key || sharedKey || base.rerankApi.key,
model: raw.rerankApi?.model || base.rerankApi.model,
modelCache: Array.isArray(raw.rerankApi?.modelCache) ? raw.rerankApi.modelCache : [],
});
}
return base;
}
// ═══════════════════════════════════════════════════════════════════════════
// Config Management
// ═══════════════════════════════════════════════════════════════════════════
@@ -387,7 +435,7 @@ All checks passed. Beginning incremental extraction...
config.textFilterRules = Array.isArray(p.textFilterRules)
? p.textFilterRules
: (Array.isArray(p.vector?.textFilterRules) ? p.vector.textFilterRules : [...DEFAULT_FILTER_RULES]);
if (p.vector) config.vector = p.vector;
if (p.vector) config.vector = normalizeVectorConfigUI(p.vector);
if (config.trigger.timing === 'manual' && config.trigger.enabled) {
config.trigger.enabled = false;
saveConfig();
@@ -409,7 +457,7 @@ All checks passed. Beginning incremental extraction...
: (Array.isArray(cfg.vector?.textFilterRules)
? cfg.vector.textFilterRules
: (Array.isArray(config.textFilterRules) ? config.textFilterRules : [...DEFAULT_FILTER_RULES]));
if (cfg.vector) config.vector = cfg.vector;
if (cfg.vector) config.vector = normalizeVectorConfigUI(cfg.vector);
if (config.trigger.timing === 'manual') config.trigger.enabled = false;
localStorage.setItem('summary_panel_config', JSON.stringify(config));
}
@@ -422,7 +470,14 @@ All checks passed. Beginning incremental extraction...
config.textFilterRules = collectFilterRules();
}
if (!config.vector) {
config.vector = { enabled: false, engine: 'online', online: { provider: 'siliconflow', key: '', model: 'BAAI/bge-m3' } };
config.vector = {
enabled: false,
engine: 'online',
l0Concurrency: 10,
l0Api: { provider: 'siliconflow', url: 'https://api.siliconflow.cn/v1', key: '', model: 'Qwen/Qwen3-8B', modelCache: [] },
embeddingApi: { provider: 'siliconflow', url: 'https://api.siliconflow.cn/v1', key: '', model: 'BAAI/bge-m3', modelCache: [] },
rerankApi: { provider: 'siliconflow', url: 'https://api.siliconflow.cn/v1', key: '', model: 'BAAI/bge-reranker-v2-m3', modelCache: [] }
};
}
localStorage.setItem('summary_panel_config', JSON.stringify(config));
postMsg('SAVE_PANEL_CONFIG', { config });
@@ -435,15 +490,107 @@ All checks passed. Beginning incremental extraction...
// Vector Config UI
// ═══════════════════════════════════════════════════════════════════════════
function getVectorApiConfig(prefix) {
return {
provider: $(`${prefix}-api-provider`)?.value || 'siliconflow',
url: $(`${prefix}-api-url`)?.value?.trim() || '',
key: $(`${prefix}-api-key`)?.value?.trim() || '',
model: $(`${prefix}-api-model-text`)?.value?.trim() || '',
modelCache: Array.isArray(config.vector?.[`${prefix}Api`]?.modelCache)
? [...config.vector[`${prefix}Api`].modelCache]
: [],
};
}
function loadVectorApiConfig(prefix, cfg) {
const next = cfg || {};
$(`${prefix}-api-provider`).value = next.provider || 'siliconflow';
$(`${prefix}-api-url`).value = next.url || '';
$(`${prefix}-api-key`).value = next.key || '';
$(`${prefix}-api-model-text`).value = next.model || '';
const cache = Array.isArray(next.modelCache) ? next.modelCache : [];
setSelectOptions($(`${prefix}-api-model-select`), cache, '请选择');
$(`${prefix}-api-model-select`).value = cache.includes(next.model) ? next.model : '';
updateVectorProviderUI(prefix, next.provider || 'siliconflow');
}
function updateVectorProviderUI(prefix, provider) {
const pv = VECTOR_PROVIDER_DEFAULTS[provider] || VECTOR_PROVIDER_DEFAULTS.custom;
const cache = Array.isArray(config.vector?.[`${prefix}Api`]?.modelCache)
? config.vector[`${prefix}Api`].modelCache
: [];
const hasModelCache = cache.length > 0;
$(`${prefix}-api-url-row`).classList.toggle('hidden', false);
$(`${prefix}-api-key-row`).classList.toggle('hidden', !pv.needKey);
$(`${prefix}-api-model-manual-row`).classList.toggle('hidden', false);
$(`${prefix}-api-model-select-row`).classList.toggle('hidden', !hasModelCache);
$(`${prefix}-api-connect-row`).classList.toggle('hidden', !pv.canFetch);
$(`${prefix}-api-connect-status`).classList.toggle('hidden', !pv.canFetch);
const urlInput = $(`${prefix}-api-url`);
if (urlInput && !urlInput.value && pv.url) urlInput.value = pv.url;
}
async function fetchVectorModels(prefix) {
const provider = $(`${prefix}-api-provider`).value;
const pv = VECTOR_PROVIDER_DEFAULTS[provider] || VECTOR_PROVIDER_DEFAULTS.custom;
const statusEl = $(`${prefix}-api-connect-status`);
const btn = $(`${prefix}-btn-connect`);
if (!pv.canFetch) {
statusEl.textContent = '当前渠道不支持自动拉取模型';
return;
}
let baseUrl = $(`${prefix}-api-url`).value.trim().replace(/\/+$/, '');
const apiKey = $(`${prefix}-api-key`).value.trim();
if (!apiKey) {
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 => {
const res = await fetch(url, {
headers: { Authorization: `Bearer ${apiKey}`, Accept: 'application/json' }
});
return res.ok ? (await res.json())?.data?.map(m => m?.id).filter(Boolean) || null : null;
};
if (baseUrl.endsWith('/v1')) baseUrl = baseUrl.slice(0, -3);
let models = await tryFetch(`${baseUrl}/v1/models`);
if (!models) models = await tryFetch(`${baseUrl}/models`);
if (!models?.length) throw new Error('未获取到模型列表');
config.vector[`${prefix}Api`].modelCache = [...new Set(models)];
setSelectOptions($(`${prefix}-api-model-select`), config.vector[`${prefix}Api`].modelCache, '请选择');
$(`${prefix}-api-model-select-row`).classList.remove('hidden');
if (!$(`${prefix}-api-model-text`).value.trim()) {
$(`${prefix}-api-model-text`).value = models[0];
$(`${prefix}-api-model-select`).value = models[0];
}
statusEl.textContent = `拉取成功：${models.length} 个模型`;
} catch (e) {
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';
}
}
function getVectorConfig() {
return {
enabled: $('vector-enabled')?.checked || false,
engine: 'online',
online: {
provider: 'siliconflow',
key: $('vector-api-key')?.value?.trim() || '',
model: 'BAAI/bge-m3',
},
l0Concurrency: Math.max(1, Math.min(50, Number($('vector-l0-concurrency')?.value) || 10)),
l0Api: getVectorApiConfig('l0'),
embeddingApi: getVectorApiConfig('embedding'),
rerankApi: getVectorApiConfig('rerank'),
};
}
@@ -451,11 +598,10 @@ All checks passed. Beginning incremental extraction...
if (!cfg) return;
$('vector-enabled').checked = !!cfg.enabled;
$('vector-config-area').classList.toggle('hidden', !cfg.enabled);
if (cfg.online?.key) {
$('vector-api-key').value = cfg.online.key;
}
$('vector-l0-concurrency').value = String(Math.max(1, Math.min(50, Number(cfg.l0Concurrency) || 10)));
loadVectorApiConfig('l0', cfg.l0Api || {});
loadVectorApiConfig('embedding', cfg.embeddingApi || {});
loadVectorApiConfig('rerank', cfg.rerankApi || {});
}
// ═══════════════════════════════════════════════════════════════════════════
@@ -536,13 +682,6 @@ All checks passed. Beginning incremental extraction...
el.textContent = count;
}
function updateOnlineStatus(status, message) {
const dot = $('online-api-status').querySelector('.status-dot');
const text = $('online-api-status').querySelector('.status-text');
dot.className = 'status-dot ' + status;
text.textContent = message;
}
function updateVectorStats(stats) {
$('vector-atom-count').textContent = stats.stateVectors || 0;
$('vector-chunk-count').textContent = stats.chunkCount || 0;
@@ -649,14 +788,28 @@ All checks passed. Beginning incremental extraction...
$('btn-test-vector-api').onclick = () => {
saveConfig(); // 先保存新 Key 到 localStorage
postMsg('VECTOR_TEST_ONLINE', {
provider: 'siliconflow',
config: {
key: $('vector-api-key').value.trim(),
model: 'BAAI/bge-m3',
}
provider: getVectorConfig().embeddingApi.provider,
config: getVectorConfig().embeddingApi
});
};
['l0', 'embedding', 'rerank'].forEach(prefix => {
$(`${prefix}-api-provider`).onchange = e => {
const pv = VECTOR_PROVIDER_DEFAULTS[e.target.value] || VECTOR_PROVIDER_DEFAULTS.custom;
const target = config.vector[`${prefix}Api`] ||= { modelCache: [] };
target.provider = e.target.value;
if (!target.url && pv.url) target.url = pv.url;
if (!pv.canFetch) target.modelCache = [];
updateVectorProviderUI(prefix, e.target.value);
};
$(`${prefix}-api-model-select`).onchange = e => {
if (e.target.value) $(`${prefix}-api-model-text`).value = e.target.value;
};
$(`${prefix}-btn-connect`).onclick = () => fetchVectorModels(prefix);
});
$('btn-add-filter-rule').onclick = addFilterRule;
$('btn-gen-vectors').onclick = () => {

136
modules/story-summary/story-summary.html
View File

@@ -414,31 +414,139 @@
<div id="vector-config-area" class="hidden">
<!-- Step 0: API Key -->
<!-- Step 0: API Config -->
<div class="neo-card" style="margin-top: 24px;">
<div class="neo-card-title">
<span class="neo-badge">Step.0</span>
<span>填写 API Key</span>
<span>配置模型 API</span>
</div>
<div class="settings-row">
<div class="settings-field full">
<label>硅基流动 API Key</label>
<input type="password" id="vector-api-key" placeholder="sk-xxx">
<div class="settings-hint">
💡 <a href="https://siliconflow.cn" target="_blank">硅基流动</a>
内置使用的模型完全免费。建议实名认证以获得更高并发。
</div>
</div>
<div class="settings-hint" style="margin-bottom:12px;">
推荐给 L0 使用便宜或免费的大批量模型，不建议直接消耗酒馆主 API。推荐：硅基流动 / OpenRouter / 自定义 OpenAI 兼容接口。
</div>
<label>L0 并发数</label>
<input type="number" id="vector-l0-concurrency" min="1" max="50" step="1" value="10">
<div class="settings-hint" style="margin-bottom:16px;">默认 10。免费账号可调低到 1-3，线路稳定时可自行调高。</div>
<div class="settings-section-title" style="margin-bottom:8px;">L0 锚点提取模型</div>
<div class="settings-row">
<div class="settings-field">
<label>渠道</label>
<select id="l0-api-provider">
<option value="siliconflow">硅基流动</option>
<option value="openrouter">OpenRouter</option>
<option value="custom">自定义</option>
</select>
</div>
</div>
<div class="settings-row" id="l0-api-url-row">
<div class="settings-field full">
<div class="engine-status-row" style="margin-top: 0;">
<div class="engine-status" id="online-api-status">
<span class="status-dot"></span>
<span class="status-text">未测试</span>
<label>API URL</label>
<input type="text" id="l0-api-url" placeholder="https://api.siliconflow.cn/v1">
</div>
<button class="btn btn-sm" id="btn-test-vector-api">测试连接</button>
</div>
<div class="settings-row" id="l0-api-key-row">
<div class="settings-field full">
<label>API KEY</label>
<input type="password" id="l0-api-key" placeholder="sk-xxx">
</div>
</div>
<div class="settings-row" id="l0-api-model-manual-row">
<div class="settings-field full">
<label>模型名</label>
<input type="text" id="l0-api-model-text" placeholder="可手动填写，如 Qwen/Qwen3-8B">
</div>
</div>
<div class="settings-row hidden" id="l0-api-model-select-row">
<div class="settings-field full">
<label>已拉取模型</label>
<select id="l0-api-model-select"><option value="">请选择</option></select>
</div>
</div>
<div class="settings-btn-row" id="l0-api-connect-row" style="margin-bottom:8px;">
<button class="btn btn-sm" id="l0-btn-connect" style="flex:1">连接 / 拉取模型列表</button>
</div>
<div class="settings-hint" id="l0-api-connect-status" style="margin-bottom:16px;"></div>
<div class="settings-section-title" style="margin-bottom:8px;">Embedding 模型</div>
<div class="settings-row">
<div class="settings-field">
<label>渠道</label>
<select id="embedding-api-provider">
<option value="siliconflow">硅基流动</option>
<option value="custom">自定义</option>
</select>
</div>
</div>
<div class="settings-row" id="embedding-api-url-row">
<div class="settings-field full">
<label>API URL</label>
<input type="text" id="embedding-api-url" placeholder="https://api.siliconflow.cn/v1">
</div>
</div>
<div class="settings-row" id="embedding-api-key-row">
<div class="settings-field full">
<label>API KEY</label>
<input type="password" id="embedding-api-key" placeholder="sk-xxx">
</div>
</div>
<div class="settings-row" id="embedding-api-model-manual-row">
<div class="settings-field full">
<label>模型名</label>
<input type="text" id="embedding-api-model-text" placeholder="如 BAAI/bge-m3">
</div>
</div>
<div class="settings-row hidden" id="embedding-api-model-select-row">
<div class="settings-field full">
<label>已拉取模型</label>
<select id="embedding-api-model-select"><option value="">请选择</option></select>
</div>
</div>
<div class="settings-btn-row" id="embedding-api-connect-row" style="margin-bottom:8px;">
<button class="btn btn-sm" id="embedding-btn-connect" style="flex:1">连接 / 拉取模型列表</button>
<button class="btn btn-sm" id="btn-test-vector-api" style="flex:1">测试 Embedding</button>
</div>
<div class="settings-hint" id="embedding-api-connect-status" style="margin-bottom:16px;"></div>
<div class="settings-section-title" style="margin-bottom:8px;">Rerank 模型</div>
<div class="settings-row">
<div class="settings-field">
<label>渠道</label>
<select id="rerank-api-provider">
<option value="siliconflow">硅基流动</option>
<option value="custom">自定义</option>
</select>
</div>
</div>
<div class="settings-row" id="rerank-api-url-row">
<div class="settings-field full">
<label>API URL</label>
<input type="text" id="rerank-api-url" placeholder="https://api.siliconflow.cn/v1">
</div>
</div>
<div class="settings-row" id="rerank-api-key-row">
<div class="settings-field full">
<label>API KEY</label>
<input type="password" id="rerank-api-key" placeholder="sk-xxx">
</div>
</div>
<div class="settings-row" id="rerank-api-model-manual-row">
<div class="settings-field full">
<label>模型名</label>
<input type="text" id="rerank-api-model-text" placeholder="如 BAAI/bge-reranker-v2-m3">
</div>
</div>
<div class="settings-row hidden" id="rerank-api-model-select-row">
<div class="settings-field full">
<label>已拉取模型</label>
<select id="rerank-api-model-select"><option value="">请选择</option></select>
</div>
</div>
<div class="settings-btn-row" id="rerank-api-connect-row">
<button class="btn btn-sm" id="rerank-btn-connect" style="flex:1">连接 / 拉取模型列表</button>
</div>
<div class="settings-hint" id="rerank-api-connect-status"></div>
</div>
</div>
</div>

8
modules/story-summary/story-summary.js
View File

@@ -356,8 +356,8 @@ async function handleAnchorGenerate() {
return;
}
if (!vectorCfg.online?.key) {
postToFrame({ type: "VECTOR_ONLINE_STATUS", status: "error", message: "请配置 API Key" });
if (!vectorCfg.l0Api?.key) {
postToFrame({ type: "VECTOR_ONLINE_STATUS", status: "error", message: "请配置 L0 API Key" });
return;
}
@@ -448,8 +448,8 @@ async function handleGenerateVectors(vectorCfg) {
const { chatId, chat } = getContext();
if (!chatId || !chat?.length) return;
if (!vectorCfg.online?.key) {
postToFrame({ type: "VECTOR_ONLINE_STATUS", status: "error", message: "请配置 API Key" });
if (!vectorCfg.embeddingApi?.key) {
postToFrame({ type: "VECTOR_ONLINE_STATUS", status: "error", message: "请配置 Embedding API Key" });
return;
}

36
modules/story-summary/vector/llm/llm-service.js
View File

@@ -2,14 +2,15 @@
// vector/llm/llm-service.js - 修复 prefill 传递方式
// ═══════════════════════════════════════════════════════════════════════════
import { xbLog } from '../../../../core/debug-core.js';
import { getApiKey } from './siliconflow.js';
import { getVectorConfig } from '../../data/config.js';
const MODULE_ID = 'vector-llm-service';
const SILICONFLOW_API_URL = 'https://api.siliconflow.cn/v1';
const DEFAULT_L0_MODEL = 'Qwen/Qwen3-8B';
const DEFAULT_L0_API_URL = 'https://api.siliconflow.cn/v1';
let callCounter = 0;
const activeL0SessionIds = new Set();
let l0KeyIndex = 0;
function getStreamingModule() {
const mod = window.xiaobaixStreamingGeneration;
@@ -28,6 +29,28 @@ function b64UrlEncode(str) {
return btoa(bin).replace(/\+/g, '-').replace(/\//g, '_').replace(/=+$/, '');
}
function getL0ApiConfig() {
const cfg = getVectorConfig() || {};
return cfg.l0Api || {
provider: 'siliconflow',
url: DEFAULT_L0_API_URL,
key: '',
model: DEFAULT_L0_MODEL,
};
}
function getNextKey(rawKey) {
const keys = String(rawKey || '')
.split(/[,;|\n]+/)
.map(k => k.trim())
.filter(Boolean);
if (!keys.length) return '';
if (keys.length === 1) return keys[0];
const idx = l0KeyIndex % keys.length;
l0KeyIndex = (l0KeyIndex + 1) % keys.length;
return keys[idx];
}
/**
* 统一LLM调用 - 走酒馆后端（非流式）
* 临时改为标准 messages 调用，避免 bottomassistant prefill 兼容性问题。
@@ -42,7 +65,8 @@ export async function callLLM(messages, options = {}) {
const mod = getStreamingModule();
if (!mod) throw new Error('Streaming module not ready');
const apiKey = getApiKey() || '';
const apiCfg = getL0ApiConfig();
const apiKey = getNextKey(apiCfg.key);
if (!apiKey) {
throw new Error('L0 requires siliconflow API key');
}
@@ -60,11 +84,11 @@ export async function callLLM(messages, options = {}) {
temperature: String(temperature),
max_tokens: String(max_tokens),
api: 'openai',
apiurl: SILICONFLOW_API_URL,
apiurl: String(apiCfg.url || DEFAULT_L0_API_URL).trim(),
apipassword: apiKey,
model: DEFAULT_L0_MODEL,
model: String(apiCfg.model || DEFAULT_L0_MODEL).trim(),
};
const isQwen3 = String(DEFAULT_L0_MODEL || '').includes('Qwen3');
const isQwen3 = String(args.model || '').includes('Qwen3');
if (isQwen3) {
args.enable_thinking = 'false';
}

35
modules/story-summary/vector/llm/reranker.js
View File

@@ -4,15 +4,38 @@
// ═══════════════════════════════════════════════════════════════════════════
import { xbLog } from '../../../../core/debug-core.js';
import { getApiKey } from './siliconflow.js';
import { getVectorConfig } from '../../data/config.js';
const MODULE_ID = 'reranker';
const RERANK_URL = 'https://api.siliconflow.cn/v1/rerank';
const DEFAULT_RERANK_URL = 'https://api.siliconflow.cn/v1';
const RERANK_MODEL = 'BAAI/bge-reranker-v2-m3';
const DEFAULT_TIMEOUT = 15000;
const MAX_DOCUMENTS = 100; // API 限制
const RERANK_BATCH_SIZE = 20;
const RERANK_MAX_CONCURRENCY = 5;
let rerankKeyIndex = 0;
function getRerankApiConfig() {
const cfg = getVectorConfig() || {};
return cfg.rerankApi || {
provider: 'siliconflow',
url: DEFAULT_RERANK_URL,
key: '',
model: RERANK_MODEL,
};
}
function getNextRerankKey(rawKey) {
const keys = String(rawKey || '')
.split(/[,;|\n]+/)
.map(k => k.trim())
.filter(Boolean);
if (!keys.length) return '';
if (keys.length === 1) return keys[0];
const idx = rerankKeyIndex % keys.length;
rerankKeyIndex = (rerankKeyIndex + 1) % keys.length;
return keys[idx];
}
/**
* 对文档列表进行 Rerank 精排
@@ -37,7 +60,8 @@ export async function rerank(query, documents, options = {}) {
return { results: [], failed: false };
}
const key = getApiKey();
const apiCfg = getRerankApiConfig();
const key = getNextRerankKey(apiCfg.key);
if (!key) {
xbLog.warn(MODULE_ID, '未配置 API Key，跳过 rerank');
return { results: documents.map((_, i) => ({ index: i, relevance_score: 0 })), failed: true };
@@ -72,14 +96,15 @@ export async function rerank(query, documents, options = {}) {
try {
const T0 = performance.now();
const response = await fetch(RERANK_URL, {
const baseUrl = String(apiCfg.url || DEFAULT_RERANK_URL).replace(/\/+$/, '');
const response = await fetch(`${baseUrl}/rerank`, {
method: 'POST',
headers: {
'Authorization': `Bearer ${key}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: RERANK_MODEL,
model: String(apiCfg.model || RERANK_MODEL),
// Zero-darkbox: do not silently truncate query.
query,
documents: validDocs,

38
modules/story-summary/vector/llm/siliconflow.js
View File

@@ -1,31 +1,39 @@
// ═══════════════════════════════════════════════════════════════════════════
// siliconflow.js - Embedding + 多 Key 轮询
// siliconflow.js - OpenAI-compatible Embedding + 多 Key 轮询
//
// 在 API Key 输入框中用逗号、分号、竖线或换行分隔多个 Key，例如：
// sk-aaa,sk-bbb,sk-ccc
// 每次调用自动轮询到下一个 Key，并发请求会均匀分布到所有 Key 上。
// ═══════════════════════════════════════════════════════════════════════════
import { getVectorConfig } from '../../data/config.js';
const BASE_URL = 'https://api.siliconflow.cn';
const EMBEDDING_MODEL = 'BAAI/bge-m3';
// ★ 多 Key 轮询状态
let _keyIndex = 0;
function getEmbeddingApiConfig() {
const cfg = getVectorConfig() || {};
return cfg.embeddingApi || {
provider: 'siliconflow',
url: `${BASE_URL}/v1`,
key: '',
model: EMBEDDING_MODEL,
};
}
/**
* 从 localStorage 解析所有 Key（支持逗号、分号、竖线、换行分隔）
*/
function parseKeys() {
function parseKeys(rawKey) {
try {
const raw = localStorage.getItem('summary_panel_config');
if (raw) {
const parsed = JSON.parse(raw);
const keyStr = parsed.vector?.online?.key || '';
const keyStr = String(rawKey || '');
return keyStr
.split(/[,;|\n]+/)
.map(k => k.trim())
.filter(k => k.length > 0);
}
} catch { }
return [];
}
@@ -34,8 +42,8 @@ function parseKeys() {
* 获取下一个可用的 API Key（轮询）
* 每次调用返回不同的 Key，自动循环
*/
export function getApiKey() {
const keys = parseKeys();
export function getApiKey(rawKey = null) {
const keys = parseKeys(rawKey ?? getEmbeddingApiConfig().key);
if (!keys.length) return null;
if (keys.length === 1) return keys[0];
@@ -51,7 +59,7 @@ export function getApiKey() {
* 获取当前配置的 Key 数量（供外部模块动态调整并发用）
*/
export function getKeyCount() {
return Math.max(1, parseKeys().length);
return Math.max(1, parseKeys(getEmbeddingApiConfig().key).length);
}
// ═══════════════════════════════════════════════════════════════════════════
@@ -61,22 +69,24 @@ export function getKeyCount() {
export async function embed(texts, options = {}) {
if (!texts?.length) return [];
const key = getApiKey();
if (!key) throw new Error('未配置硅基 API Key');
const apiCfg = options.apiConfig || getEmbeddingApiConfig();
const key = getApiKey(apiCfg.key);
if (!key) throw new Error('未配置 Embedding API Key');
const { timeout = 30000, signal } = options;
const controller = new AbortController();
const timeoutId = setTimeout(() => controller.abort(), timeout);
try {
const response = await fetch(`${BASE_URL}/v1/embeddings`, {
const baseUrl = String(apiCfg.url || `${BASE_URL}/v1`).replace(/\/+$/, '');
const response = await fetch(`${baseUrl}/embeddings`, {
method: 'POST',
headers: {
'Authorization': `Bearer ${key}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: EMBEDDING_MODEL,
model: String(apiCfg.model || EMBEDDING_MODEL),
input: texts,
}),
signal: signal || controller.signal,

85
modules/story-summary/vector/pipeline/state-integration.js
View File

@@ -29,7 +29,7 @@ import { filterText } from '../utils/text-filter.js';
const MODULE_ID = 'state-integration';
// ★ 并发配置
const CONCURRENCY = 10;
const DEFAULT_CONCURRENCY = 10;
const STAGGER_DELAY = 15;
const DEBUG_CONCURRENCY = true;
const R_AGG_MAX_CHARS = 256;
@@ -168,7 +168,9 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
return { built: 0 };
}
xbLog.info(MODULE_ID, `增量 L0 提取：pending=${pendingPairs.length}, concurrency=${CONCURRENCY}`);
const concurrency = Math.max(1, Math.min(50, Number(vectorCfg?.l0Concurrency) || DEFAULT_CONCURRENCY));
xbLog.info(MODULE_ID, `增量 L0 提取：pending=${pendingPairs.length}, concurrency=${concurrency}`);
let completed = 0;
let failed = 0;
@@ -181,14 +183,6 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
// ★ Phase 1: 收集所有新提取的 atoms（不向量化）
const allNewAtoms = [];
// ★ 限流检测：连续失败 N 次后暂停并降速
let consecutiveFailures = 0;
let rateLimited = false;
const RATE_LIMIT_THRESHOLD = 6; // 连续失败多少次触发限流保护
const RATE_LIMIT_WAIT_MS = 60000; // 限流后等待时间（60 秒）
const RETRY_INTERVAL_MS = 1000; // 降速模式下每次请求间隔（1 秒）
const RETRY_CONCURRENCY = 1; // ★ 降速模式下的并发数（默认1，建议不要超过5）
// ★ 通用处理单个 pair 的逻辑（复用于正常模式和降速模式）
const processPair = async (pair, idx, workerId) => {
const floor = pair.aiFloor;
@@ -209,9 +203,6 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
throw new Error('llm_failed');
}
// ★ 成功：重置连续失败计数
consecutiveFailures = 0;
if (!atoms.length) {
setL0FloorStatus(floor, { status: 'empty', reason: 'llm_empty', atoms: 0 });
} else {
@@ -231,13 +222,6 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
reason: String(e?.message || e).replace(/\s+/g, ' ').slice(0, 120),
});
failed++;
// ★ 限流检测：连续失败累加
consecutiveFailures++;
if (consecutiveFailures >= RATE_LIMIT_THRESHOLD && !rateLimited) {
rateLimited = true;
xbLog.warn(MODULE_ID, `连续失败 ${consecutiveFailures} 次，疑似触发 API 限流，将暂停所有并发`);
}
} finally {
active--;
if (!extractionCancelled) {
@@ -252,12 +236,12 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
};
// ★ 并发池处理（保持固定并发度）
const poolSize = Math.min(CONCURRENCY, pendingPairs.length);
const poolSize = Math.min(concurrency, pendingPairs.length);
let nextIndex = 0;
let started = 0;
const runWorker = async (workerId) => {
while (true) {
if (extractionCancelled || rateLimited) return;
if (extractionCancelled) return;
const idx = nextIndex++;
if (idx >= pendingPairs.length) return;
@@ -267,7 +251,7 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
await new Promise(r => setTimeout(r, stagger * STAGGER_DELAY));
}
if (extractionCancelled || rateLimited) return;
if (extractionCancelled) return;
await processPair(pair, idx, workerId);
}
@@ -279,61 +263,6 @@ export async function incrementalExtractAtoms(chatId, chat, onProgress, options
xbLog.info(MODULE_ID, `L0 pool done completed=${completed}/${total} failed=${failed} peakActive=${peakActive} elapsedMs=${elapsed}`);
}
// ═════════════════════════════════════════════════════════════════════
// ★ 限流恢复：重置进度，从头开始以限速模式慢慢跑
// ═════════════════════════════════════════════════════════════════════
if (rateLimited && !extractionCancelled) {
const waitSec = RATE_LIMIT_WAIT_MS / 1000;
xbLog.info(MODULE_ID, `限流保护：将重置进度并从头开始降速重来（并发=${RETRY_CONCURRENCY}, 间隔=${RETRY_INTERVAL_MS}ms）`);
onProgress?.(`疑似限流，${waitSec}s 后降速重头开始...`, completed, total);
await new Promise(r => setTimeout(r, RATE_LIMIT_WAIT_MS));
if (!extractionCancelled) {
// ★ 核心逻辑：重置计数器，让 UI 从 0 开始跑，给用户“重头开始”的反馈
rateLimited = false;
consecutiveFailures = 0;
completed = 0;
failed = 0;
let retryNextIdx = 0;
xbLog.info(MODULE_ID, `限流恢复：开始降速模式扫描 ${pendingPairs.length} 个楼层`);
const retryWorkers = Math.min(RETRY_CONCURRENCY, pendingPairs.length);
const runRetryWorker = async (wid) => {
while (true) {
if (extractionCancelled) return;
const idx = retryNextIdx++;
if (idx >= pendingPairs.length) return;
const pair = pendingPairs[idx];
const floor = pair.aiFloor;
// ★ 检查该楼层状态
const st = getL0FloorStatus(floor);
if (st?.status === 'ok' || st?.status === 'empty') {
// 刚才已经成功了，直接跳过（仅增加进度计数）
completed++;
onProgress?.(`提取: ${completed}/${total} (跳过已完成)`, completed, total);
continue;
}
// ★ 没做过的，用 slow 模式处理
await processPair(pair, idx, `retry-${wid}`);
// 每个请求后休息，避免再次触发限流
if (idx < pendingPairs.length - 1 && RETRY_INTERVAL_MS > 0) {
await new Promise(r => setTimeout(r, RETRY_INTERVAL_MS));
}
}
};
await Promise.all(Array.from({ length: retryWorkers }, (_, i) => runRetryWorker(i)));
xbLog.info(MODULE_ID, `降速重头开始阶段结束`);
}
}
try {
saveMetadataDebounced?.();
} catch { }

24
modules/story-summary/vector/utils/embedder.js
View File

@@ -1,15 +1,13 @@
// ═══════════════════════════════════════════════════════════════════════════
// Story Summary - Embedder (v2 - 统一硅基)
// 所有 embedding 请求转发到 siliconflow.js
// Story Summary - Embedder
// ═══════════════════════════════════════════════════════════════════════════
import { embed as sfEmbed, getApiKey } from '../llm/siliconflow.js';
import { embed as sfEmbed } from '../llm/siliconflow.js';
// ═══════════════════════════════════════════════════════════════════════════
// 统一 embed 接口
// ═══════════════════════════════════════════════════════════════════════════
export async function embed(texts, config, options = {}) {
// 忽略旧的 config 参数，统一走硅基
return await sfEmbed(texts, options);
}
@@ -18,8 +16,10 @@ export async function embed(texts, config, options = {}) {
// ═══════════════════════════════════════════════════════════════════════════
export function getEngineFingerprint(config) {
// 统一使用硅基 bge-m3
return 'siliconflow:bge-m3:1024';
const api = config?.embeddingApi || {};
const provider = String(api.provider || 'siliconflow').toLowerCase();
const model = String(api.model || 'BAAI/bge-m3').trim() || 'BAAI/bge-m3';
return `${provider}:${model}:1024`;
}
// ═══════════════════════════════════════════════════════════════════════════
@@ -47,14 +47,13 @@ export async function deleteLocalModelCache() { }
// 在线服务测试
// ═══════════════════════════════════════════════════════════════════════════
export async function testOnlineService() {
const key = getApiKey();
if (!key) {
throw new Error('请配置硅基 API Key');
export async function testOnlineService(_provider, config = {}) {
if (!config?.key) {
throw new Error('请配置 Embedding API Key');
}
try {
const [vec] = await sfEmbed(['测试连接']);
const [vec] = await sfEmbed(['测试连接'], { apiConfig: config });
return { success: true, dims: vec?.length || 0 };
} catch (e) {
throw new Error(`连接失败: ${e.message}`);
@@ -62,7 +61,6 @@ export async function testOnlineService() {
}
export async function fetchOnlineModels() {
// 硅基模型固定
return ['BAAI/bge-m3'];
}
@@ -78,6 +76,6 @@ export const ONLINE_PROVIDERS = {
siliconflow: {
id: 'siliconflow',
name: '硅基流动',
baseUrl: 'https://api.siliconflow.cn',
baseUrl: 'https://api.siliconflow.cn/v1',
},
};