🪦 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

packages/data-provider/src/schemas.ts

@@ -25,10 +25,6 @@ export enum EModelEndpoint {
   agents = 'agents',
   custom = 'custom',
   bedrock = 'bedrock',
-  /** @deprecated */
-  chatGPTBrowser = 'chatGPTBrowser',
-  /** @deprecated */
-  gptPlugins = 'gptPlugins',
 }
 
 /** Mirrors `@librechat/agents` providers */
@@ -529,16 +525,6 @@ export type TInput = {
   inputStr: string;
 };
 
-export type TResPlugin = {
-  plugin: string;
-  input: string;
-  thought: string;
-  loading?: boolean;
-  outputs?: string;
-  latest?: string;
-  inputs?: TInput[];
-};
-
 export const tExampleSchema = z.object({
   input: z.object({
     content: z.string(),
@@ -550,39 +536,6 @@ export const tExampleSchema = z.object({
 
 export type TExample = z.infer<typeof tExampleSchema>;
 
-export enum EAgent {
-  functions = 'functions',
-  classic = 'classic',
-}
-
-export const agentOptionSettings = {
-  model: {
-    default: 'gpt-4o-mini',
-  },
-  temperature: {
-    min: 0,
-    max: 1,
-    step: 0.01,
-    default: 0,
-  },
-  agent: {
-    default: EAgent.functions,
-    options: [EAgent.functions, EAgent.classic],
-  },
-  skipCompletion: {
-    default: true,
-  },
-};
-
-export const eAgentOptionsSchema = z.nativeEnum(EAgent);
-
-export const tAgentOptionsSchema = z.object({
-  agent: z.string().default(EAgent.functions),
-  skipCompletion: z.boolean().default(agentOptionSettings.skipCompletion.default),
-  model: z.string(),
-  temperature: z.number().default(agentOptionSettings.temperature.default),
-});
-
 export const tMessageSchema = z.object({
   messageId: z.string(),
   endpoint: z.string().optional(),
@@ -659,8 +612,6 @@ export type TAttachment =
 
 export type TMessage = z.input<typeof tMessageSchema> & {
   children?: TMessage[];
-  plugin?: TResPlugin | null;
-  plugins?: TResPlugin[];
   content?: TMessageContentParts[];
   files?: Partial<TFile>[];
   depth?: number;
@@ -775,8 +726,6 @@ export const tConversationSchema = z.object({
   fileTokenLimit: coerceNumber.optional(),
   /** @deprecated */
   resendImages: z.boolean().optional(),
-  /** @deprecated */
-  agentOptions: tAgentOptionsSchema.nullable().optional(),
   /** @deprecated Prefer `modelLabel` over `chatGptLabel` */
   chatGptLabel: z.string().nullable().optional(),
 });
@@ -982,75 +931,6 @@ export const googleGenConfigSchema = z
   .strip()
   .optional();
 
-const gptPluginsBaseSchema = tConversationSchema.pick({
-  model: true,
-  modelLabel: true,
-  chatGptLabel: true,
-  promptPrefix: true,
-  temperature: true,
-  artifacts: true,
-  top_p: true,
-  presence_penalty: true,
-  frequency_penalty: true,
-  tools: true,
-  agentOptions: true,
-  iconURL: true,
-  greeting: true,
-  spec: true,
-  maxContextTokens: true,
-});
-
-export const gptPluginsSchema = gptPluginsBaseSchema
-  .transform((obj) => {
-    const result = {
-      ...obj,
-      model: obj.model ?? 'gpt-3.5-turbo',
-      chatGptLabel: obj.chatGptLabel ?? obj.modelLabel ?? null,
-      promptPrefix: obj.promptPrefix ?? null,
-      temperature: obj.temperature ?? 0.8,
-      top_p: obj.top_p ?? 1,
-      presence_penalty: obj.presence_penalty ?? 0,
-      frequency_penalty: obj.frequency_penalty ?? 0,
-      tools: obj.tools ?? [],
-      agentOptions: obj.agentOptions ?? {
-        agent: EAgent.functions,
-        skipCompletion: true,
-        model: 'gpt-3.5-turbo',
-        temperature: 0,
-      },
-      iconURL: obj.iconURL ?? undefined,
-      greeting: obj.greeting ?? undefined,
-      spec: obj.spec ?? undefined,
-      maxContextTokens: obj.maxContextTokens ?? undefined,
-    };
-
-    if (obj.modelLabel != null && obj.modelLabel !== '') {
-      result.modelLabel = null;
-    }
-
-    return result;
-  })
-  .catch(() => ({
-    model: 'gpt-3.5-turbo',
-    chatGptLabel: null,
-    promptPrefix: null,
-    temperature: 0.8,
-    top_p: 1,
-    presence_penalty: 0,
-    frequency_penalty: 0,
-    tools: [],
-    agentOptions: {
-      agent: EAgent.functions,
-      skipCompletion: true,
-      model: 'gpt-3.5-turbo',
-      temperature: 0,
-    },
-    iconURL: undefined,
-    greeting: undefined,
-    spec: undefined,
-    maxContextTokens: undefined,
-  }));
-
 export function removeNullishValues<T extends Record<string, unknown>>(
   obj: T,
   removeEmptyStrings?: boolean,
@@ -1251,48 +1131,6 @@ export const anthropicSchema = anthropicBaseSchema
   .transform((obj) => removeNullishValues(obj))
   .catch(() => ({}));
 
-export const compactPluginsSchema = gptPluginsBaseSchema
-  .transform((obj) => {
-    const newObj: Partial<TConversation> = { ...obj };
-    if (newObj.modelLabel === null) {
-      delete newObj.modelLabel;
-    }
-    if (newObj.chatGptLabel === null) {
-      delete newObj.chatGptLabel;
-    }
-    if (newObj.promptPrefix === null) {
-      delete newObj.promptPrefix;
-    }
-    if (newObj.temperature === 0.8) {
-      delete newObj.temperature;
-    }
-    if (newObj.top_p === 1) {
-      delete newObj.top_p;
-    }
-    if (newObj.presence_penalty === 0) {
-      delete newObj.presence_penalty;
-    }
-    if (newObj.frequency_penalty === 0) {
-      delete newObj.frequency_penalty;
-    }
-    if (newObj.tools?.length === 0) {
-      delete newObj.tools;
-    }
-
-    if (
-      newObj.agentOptions &&
-      newObj.agentOptions.agent === EAgent.functions &&
-      newObj.agentOptions.skipCompletion === true &&
-      newObj.agentOptions.model === 'gpt-3.5-turbo' &&
-      newObj.agentOptions.temperature === 0
-    ) {
-      delete newObj.agentOptions;
-    }
-
-    return removeNullishValues(newObj);
-  })
-  .catch(() => ({}));
-
 export const tBannerSchema = z.object({
   bannerId: z.string(),
   message: z.string(),