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ci: auto build & obfuscate [2026-04-23 00:35:57] (Jenkins #17)

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2026-04-23 00:35:57 +08:00
parent 8d590073f4
commit 544937bb91
23 changed files with 160 additions and 84 deletions
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11
core/rag-api.js
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@@ -112,9 +112,11 @@ export async function fetchEmbeddingModels(overrideSettings = null) {
if (!apiKey) throw new Error("Google直连模式需要API Key。");
const fetchGoogleModels = async (version) => {
const url = `${GOOGLE_API_BASE_URL}/${version}/models?key=${apiKey}`;
const url = `${GOOGLE_API_BASE_URL}/${version}/models`;
console.log(`[翰林院] 正在从 Google API (${version}) 获取模型列表: ${url}`);
const response = await fetch(url);
const response = await fetch(url, {
headers: { 'x-goog-api-key': apiKey },
});
if (!response.ok) {
console.warn(`获取 Google API (${version}) 模型列表失败: ${response.status}`);
return [];
@@ -345,8 +347,8 @@ export async function getEmbeddings(texts, signal = null) {
console.log('[翰林院-API] 使用Google直连模式获取向量。');
if (!apiKey) throw new Error('Google直连模式需要API Key。');
// 使用适配器构建URL和请求体
const googleUrl = `${buildGoogleEmbeddingApiUrl(GOOGLE_API_BASE_URL, embeddingModel)}?key=${apiKey}`;
// 使用适配器构建URL和请求体；Key 通过 x-goog-api-key 头传递避免 URL 泄露
const googleUrl = buildGoogleEmbeddingApiUrl(GOOGLE_API_BASE_URL, embeddingModel);
const googleBody = buildGoogleEmbeddingRequest(batch, embeddingModel);
console.log(`[翰林院-API] 发送到 Google API 的请求 URL: ${googleUrl}`);
@@ -356,6 +358,7 @@ export async function getEmbeddings(texts, signal = null) {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'x-goog-api-key': apiKey,
},
body: JSON.stringify(googleBody),
signal: signal,