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* 🗑️ chore: Remove unused Legacy Provider clients and related helpers * Deleted OpenAIClient and GoogleClient files along with their associated tests. * Removed references to these clients in the clients index file. * Cleaned up typedefs by removing the OpenAISpecClient export. * Updated chat controllers to use the OpenAI SDK directly instead of the removed client classes. * chore/remove-openapi-specs * 🗑️ chore: Remove unused mergeSort and misc utility functions * Deleted mergeSort.js and misc.js files as they are no longer needed. * Removed references to cleanUpPrimaryKeyValue in messages.js and adjusted related logic. * Updated mongoMeili.ts to eliminate local implementations of removed functions. * chore: remove legacy endpoints * chore: remove all plugins endpoint related code * chore: remove unused prompt handling code and clean up imports * Deleted handleInputs.js and instructions.js files as they are no longer needed. * Removed references to these files in the prompts index.js. * Updated docker-compose.yml to simplify reverse proxy configuration. * chore: remove unused LightningIcon import from Icons.tsx * chore: clean up translation.json by removing deprecated and unused keys * chore: update Jest configuration and remove unused mock file * Simplified the setupFiles array in jest.config.js by removing the fetchEventSource mock. * Deleted the fetchEventSource.js mock file as it is no longer needed. * fix: simplify endpoint type check in Landing and ConversationStarters components * Updated the endpoint type check to use strict equality for better clarity and performance. * Ensured consistency in the handling of the azureOpenAI endpoint across both components. * chore: remove unused dependencies from package.json and package-lock.json * chore: remove legacy EditController, associated routes and imports * chore: update banResponse logic to refine request handling for banned users * chore: remove unused validateEndpoint middleware and its references * chore: remove unused 'res' parameter from initializeClient in multiple endpoint files * chore: remove unused 'isSmallScreen' prop from BookmarkNav and NewChat components; clean up imports in ArchivedChatsTable and useSetIndexOptions hooks; enhance localization in PromptVersions * chore: remove unused import of Constants and TMessage from MobileNav; retain only necessary QueryKeys import * chore: remove unused TResPlugin type and related references; clean up imports in types and schemas
113 lines
3.6 KiB
JavaScript
113 lines
3.6 KiB
JavaScript
const { isUserProvided } = require('@librechat/api');
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const {
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EModelEndpoint,
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extractEnvVariable,
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normalizeEndpointName,
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} = require('librechat-data-provider');
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const { fetchModels } = require('~/server/services/ModelService');
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const { getAppConfig } = require('./app');
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/**
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* Load config endpoints from the cached configuration object
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* @function loadConfigModels
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* @param {ServerRequest} req - The Express request object.
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*/
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async function loadConfigModels(req) {
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const appConfig = await getAppConfig({ role: req.user?.role });
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if (!appConfig) {
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return {};
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}
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const modelsConfig = {};
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const azureConfig = appConfig.endpoints?.[EModelEndpoint.azureOpenAI];
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const { modelNames } = azureConfig ?? {};
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if (modelNames && azureConfig) {
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modelsConfig[EModelEndpoint.azureOpenAI] = modelNames;
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}
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if (azureConfig?.assistants && azureConfig.assistantModels) {
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modelsConfig[EModelEndpoint.azureAssistants] = azureConfig.assistantModels;
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}
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if (!Array.isArray(appConfig.endpoints?.[EModelEndpoint.custom])) {
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return modelsConfig;
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}
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const customEndpoints = appConfig.endpoints[EModelEndpoint.custom].filter(
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(endpoint) =>
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endpoint.baseURL &&
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endpoint.apiKey &&
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endpoint.name &&
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endpoint.models &&
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(endpoint.models.fetch || endpoint.models.default),
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);
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/**
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* @type {Record<string, Promise<string[]>>}
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* Map for promises keyed by unique combination of baseURL and apiKey */
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const fetchPromisesMap = {};
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/**
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* @type {Record<string, string[]>}
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* Map to associate unique keys with endpoint names; note: one key may can correspond to multiple endpoints */
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const uniqueKeyToEndpointsMap = {};
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/**
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* @type {Record<string, Partial<TEndpoint>>}
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* Map to associate endpoint names to their configurations */
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const endpointsMap = {};
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for (let i = 0; i < customEndpoints.length; i++) {
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const endpoint = customEndpoints[i];
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const { models, name: configName, baseURL, apiKey, headers: endpointHeaders } = endpoint;
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const name = normalizeEndpointName(configName);
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endpointsMap[name] = endpoint;
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const API_KEY = extractEnvVariable(apiKey);
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const BASE_URL = extractEnvVariable(baseURL);
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const uniqueKey = `${BASE_URL}__${API_KEY}`;
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modelsConfig[name] = [];
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if (models.fetch && !isUserProvided(API_KEY) && !isUserProvided(BASE_URL)) {
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fetchPromisesMap[uniqueKey] =
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fetchPromisesMap[uniqueKey] ||
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fetchModels({
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name,
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apiKey: API_KEY,
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baseURL: BASE_URL,
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user: req.user.id,
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userObject: req.user,
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headers: endpointHeaders,
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direct: endpoint.directEndpoint,
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userIdQuery: models.userIdQuery,
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});
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uniqueKeyToEndpointsMap[uniqueKey] = uniqueKeyToEndpointsMap[uniqueKey] || [];
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uniqueKeyToEndpointsMap[uniqueKey].push(name);
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continue;
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}
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if (Array.isArray(models.default)) {
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modelsConfig[name] = models.default.map((model) =>
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typeof model === 'string' ? model : model.name,
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);
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}
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}
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const fetchedData = await Promise.all(Object.values(fetchPromisesMap));
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const uniqueKeys = Object.keys(fetchPromisesMap);
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for (let i = 0; i < fetchedData.length; i++) {
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const currentKey = uniqueKeys[i];
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const modelData = fetchedData[i];
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const associatedNames = uniqueKeyToEndpointsMap[currentKey];
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for (const name of associatedNames) {
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const endpoint = endpointsMap[name];
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modelsConfig[name] = !modelData?.length ? (endpoint.models.default ?? []) : modelData;
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}
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}
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return modelsConfig;
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}
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module.exports = loadConfigModels;
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