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🪦 refactor: Remove Legacy Code (#10533)
* 🗑️ 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
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161 changed files with 256 additions and 10511 deletions
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@ -9,6 +9,7 @@ const {
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EModelEndpoint,
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} = require('librechat-data-provider');
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const { OllamaClient } = require('~/app/clients/OllamaClient');
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const { config } = require('./Config/EndpointService');
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const getLogStores = require('~/cache/getLogStores');
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const { extractBaseURL } = require('~/utils');
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@ -27,8 +28,6 @@ const splitAndTrim = (input) => {
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.filter(Boolean);
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};
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const { openAIApiKey, userProvidedOpenAI } = require('./Config/EndpointService').config;
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/**
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* Fetches OpenAI models from the specified base API path or Azure, based on the provided configuration.
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*
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@ -138,11 +137,11 @@ const fetchModels = async ({
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* @param {string} opts.user - The user ID to send to the API.
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* @param {boolean} [opts.azure=false] - Whether to fetch models from Azure.
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* @param {boolean} [opts.assistants=false] - Whether to fetch models from Azure.
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* @param {boolean} [opts.plugins=false] - Whether to fetch models from the plugins.
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* @param {string[]} [_models=[]] - The models to use as a fallback.
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*/
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const fetchOpenAIModels = async (opts, _models = []) => {
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let models = _models.slice() ?? [];
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const { openAIApiKey } = config;
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let apiKey = openAIApiKey;
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const openaiBaseURL = 'https://api.openai.com/v1';
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let baseURL = openaiBaseURL;
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@ -204,7 +203,6 @@ const fetchOpenAIModels = async (opts, _models = []) => {
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* @param {object} opts - The options for fetching the models.
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* @param {string} opts.user - The user ID to send to the API.
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* @param {boolean} [opts.azure=false] - Whether to fetch models from Azure.
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* @param {boolean} [opts.plugins=false] - Whether to fetch models for the plugins endpoint.
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* @param {boolean} [opts.assistants=false] - Whether to fetch models for the Assistants endpoint.
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*/
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const getOpenAIModels = async (opts) => {
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@ -216,24 +214,11 @@ const getOpenAIModels = async (opts) => {
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models = defaultModels[EModelEndpoint.azureAssistants];
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}
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if (opts.plugins) {
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models = models.filter(
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(model) =>
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!model.includes('text-davinci') &&
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!model.includes('instruct') &&
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!model.includes('0613') &&
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!model.includes('0314') &&
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!model.includes('0301'),
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);
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}
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let key;
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if (opts.assistants) {
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key = 'ASSISTANTS_MODELS';
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} else if (opts.azure) {
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key = 'AZURE_OPENAI_MODELS';
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} else if (opts.plugins) {
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key = 'PLUGIN_MODELS';
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} else {
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key = 'OPENAI_MODELS';
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}
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@ -243,22 +228,13 @@ const getOpenAIModels = async (opts) => {
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return models;
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}
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if (userProvidedOpenAI) {
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if (config.userProvidedOpenAI) {
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return models;
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}
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return await fetchOpenAIModels(opts, models);
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};
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const getChatGPTBrowserModels = () => {
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let models = ['text-davinci-002-render-sha', 'gpt-4'];
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if (process.env.CHATGPT_MODELS) {
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models = splitAndTrim(process.env.CHATGPT_MODELS);
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}
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return models;
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};
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/**
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* Fetches models from the Anthropic API.
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* @async
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@ -348,8 +324,7 @@ module.exports = {
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fetchModels,
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splitAndTrim,
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getOpenAIModels,
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getBedrockModels,
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getChatGPTBrowserModels,
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getAnthropicModels,
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getGoogleModels,
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getBedrockModels,
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getAnthropicModels,
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};
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