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refactor: implement custom endpoints configuration and streamline endpoint loading logic

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Danny Avila 2025-08-18 16:58:05 -04:00
parent 240e3bd59e
commit 5eef6ea9e8
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12 changed files with 100 additions and 88 deletions
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10
api/server/services/Config/loadAsyncEndpoints.js
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@ -1,18 +1,16 @@
const path = require('path');
const { logger } = require('@librechat/data-schemas');
const { loadServiceKey, isUserProvided } = require('@librechat/api');
const { EModelEndpoint } = require('librechat-data-provider');
const { loadServiceKey, isUserProvided } = require('@librechat/api');
const { config } = require('./EndpointService');
const { getAppConfig } = require('./app');
const { openAIApiKey, azureOpenAIApiKey, useAzurePlugins, userProvidedOpenAI, googleKey } = config;
/**
* Load async endpoints and return a configuration object
* @param {Express.Request} req - The request object
* @param {AppConfig} [appConfig] - The app configuration object
*/
async function loadAsyncEndpoints(req) {
const appConfig = await getAppConfig({ role: req.user?.role });
async function loadAsyncEndpoints(appConfig) {
let serviceKey, googleUserProvides;
/** Check if GOOGLE_KEY is provided at all(including 'user_provided') */
@ -36,7 +34,7 @@ async function loadAsyncEndpoints(req) {
const google = serviceKey || isGoogleKeyProvided ? { userProvide: googleUserProvides } : false;
const useAzure = appConfig.endpoints?.[EModelEndpoint.azureOpenAI]?.plugins;
const useAzure = !!appConfig?.endpoints?.[EModelEndpoint.azureOpenAI]?.plugins;
const gptPlugins =
useAzure || openAIApiKey || azureOpenAIApiKey
? {