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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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@ -31,12 +31,8 @@ const buildDefaultConvo = ({
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const availableModels = models;
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const model = lastConversationSetup?.model ?? lastSelectedModel?.[endpoint] ?? '';
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const secondaryModel: string | null =
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endpoint === EModelEndpoint.gptPlugins
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? (lastConversationSetup?.agentOptions?.model ?? lastSelectedModel?.secondaryModel ?? null)
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: null;
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let possibleModels: string[], secondaryModels: string[];
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let possibleModels: string[];
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if (availableModels.includes(model)) {
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possibleModels = [model, ...availableModels];
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@ -44,19 +40,12 @@ const buildDefaultConvo = ({
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possibleModels = [...availableModels];
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}
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if (secondaryModel != null && secondaryModel !== '' && availableModels.includes(secondaryModel)) {
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secondaryModels = [secondaryModel, ...availableModels];
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} else {
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secondaryModels = [...availableModels];
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}
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const convo = parseConvo({
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endpoint: endpoint as EndpointSchemaKey,
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endpointType: endpointType as EndpointSchemaKey,
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conversation: lastConversationSetup,
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possibleValues: {
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models: possibleModels,
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secondaryModels,
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},
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});
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@ -539,19 +539,6 @@ describe('Conversation Utilities', () => {
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expect([undefined, 'gpt-3']).toContain(stored.openAI);
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});
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it('stores secondaryModel for gptPlugins endpoint', () => {
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const conversation = {
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conversationId: '1',
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endpoint: 'gptPlugins',
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model: 'gpt-4',
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agentOptions: { model: 'plugin-model' },
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};
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storeEndpointSettings(conversation as any);
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const stored = JSON.parse(localStorage.getItem('lastModel') || '{}');
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expect([undefined, 'gpt-4']).toContain(stored.gptPlugins);
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expect([undefined, 'plugin-model']).toContain(stored.secondaryModel);
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});
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it('does nothing if conversation is null', () => {
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storeEndpointSettings(null);
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expect(localStorage.getItem('lastModel')).toBeNull();
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@ -1,3 +1,5 @@
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import { QueryClient } from '@tanstack/react-query';
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import { LocalStorageKeys, QueryKeys } from 'librechat-data-provider';
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import {
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format,
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isToday,
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@ -8,8 +10,6 @@ import {
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startOfYear,
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isWithinInterval,
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} from 'date-fns';
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import { QueryClient } from '@tanstack/react-query';
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import { EModelEndpoint, LocalStorageKeys, QueryKeys } from 'librechat-data-provider';
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import type { TConversation, GroupedConversations } from 'librechat-data-provider';
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import type { InfiniteData } from '@tanstack/react-query';
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@ -306,15 +306,12 @@ export function storeEndpointSettings(conversation: TConversation | null) {
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if (!conversation) {
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return;
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}
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const { endpoint, model, agentOptions } = conversation;
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const { endpoint, model } = conversation;
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if (!endpoint) {
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return;
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}
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const lastModel = JSON.parse(localStorage.getItem(LocalStorageKeys.LAST_MODEL) ?? '{}');
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lastModel[endpoint] = model;
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if (endpoint === EModelEndpoint.gptPlugins) {
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lastModel.secondaryModel = agentOptions?.model ?? model ?? '';
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}
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localStorage.setItem(LocalStorageKeys.LAST_MODEL, JSON.stringify(lastModel));
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}
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