refactor(parsers): change uiResources to a constant and streamline artifacts handling

- Added DataTable component with support for virtual scrolling, row selection, and customizable columns.
- Introduced hooks for debouncing search input, managing row selection, and calculating column styles.
- Enhanced accessibility with keyboard navigation and selection checkboxes.
- Implemented skeleton loading state for better user experience during data fetching.
- Added DataTableSearch component for filtering data with debounced input.
- Created utility logger for improved debugging in development.
- Updated translations to support new UI elements and actions.

.env.example

@@ -196,7 +196,7 @@ GOOGLE_KEY=user_provided
 #============#
 
 OPENAI_API_KEY=user_provided
-# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,gpt-4.5-preview,chatgpt-4o-latest,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
+# OPENAI_MODELS=gpt-5,gpt-5-codex,gpt-5-mini,gpt-5-nano,o3-pro,o3,o4-mini,gpt-4.1,gpt-4.1-mini,gpt-4.1-nano,o3-mini,o1-pro,o1,gpt-4o,gpt-4o-mini
 
 DEBUG_OPENAI=false
 
@@ -459,6 +459,9 @@ OPENID_CALLBACK_URL=/oauth/openid/callback
 OPENID_REQUIRED_ROLE=
 OPENID_REQUIRED_ROLE_TOKEN_KIND=
 OPENID_REQUIRED_ROLE_PARAMETER_PATH=
+OPENID_ADMIN_ROLE=
+OPENID_ADMIN_ROLE_PARAMETER_PATH=
+OPENID_ADMIN_ROLE_TOKEN_KIND=
 # Set to determine which user info property returned from OpenID Provider to store as the User's username
 OPENID_USERNAME_CLAIM=
 # Set to determine which user info property returned from OpenID Provider to store as the User's name
@@ -650,6 +653,12 @@ HELP_AND_FAQ_URL=https://librechat.ai
 # Google tag manager id
 #ANALYTICS_GTM_ID=user provided google tag manager id
 
+# limit conversation file imports to a certain number of bytes in size to avoid the container
+# maxing out memory limitations by unremarking this line and supplying a file size in bytes
+# such as the below example of 250 mib
+# CONVERSATION_IMPORT_MAX_FILE_SIZE_BYTES=262144000
+
+
 #===============#
 # REDIS Options #
 #===============#

.github/workflows/cache-integration-tests.yml

@@ -0,0 +1,78 @@
+name: Cache Integration Tests
+
+on:
+  pull_request:
+    branches:
+      - main
+      - dev
+      - release/*
+    paths:
+      - 'packages/api/src/cache/**'
+      - 'redis-config/**'
+      - '.github/workflows/cache-integration-tests.yml'
+
+jobs:
+  cache_integration_tests:
+    name: Run Cache Integration Tests
+    timeout-minutes: 30
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Use Node.js 20.x
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'npm'
+
+      - name: Install Redis tools
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y redis-server redis-tools
+
+      - name: Start Single Redis Instance
+        run: |
+          redis-server --daemonize yes --port 6379
+          sleep 2
+          # Verify single Redis is running
+          redis-cli -p 6379 ping || exit 1
+
+      - name: Start Redis Cluster
+        working-directory: redis-config
+        run: |
+          chmod +x start-cluster.sh stop-cluster.sh
+          ./start-cluster.sh
+          sleep 10
+          # Verify cluster is running
+          redis-cli -p 7001 cluster info || exit 1
+          redis-cli -p 7002 cluster info || exit 1
+          redis-cli -p 7003 cluster info || exit 1
+
+      - name: Install dependencies
+        run: npm ci
+
+      - name: Build packages
+        run: |
+          npm run build:data-provider
+          npm run build:data-schemas
+          npm run build:api
+
+      - name: Run cache integration tests
+        working-directory: packages/api
+        env:
+          NODE_ENV: test
+          USE_REDIS: true
+          REDIS_URI: redis://127.0.0.1:6379
+          REDIS_CLUSTER_URI: redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
+        run: npm run test:cache:integration
+
+      - name: Stop Redis Cluster
+        if: always()
+        working-directory: redis-config
+        run: ./stop-cluster.sh || true
+
+      - name: Stop Single Redis Instance
+        if: always()
+        run: redis-cli -p 6379 shutdown || true

.husky/pre-commit

@@ -1,5 +1,2 @@
-#!/usr/bin/env sh 
-set -e
-. "$(dirname -- "$0")/_/husky.sh"
 [ -n "$CI" ] && exit 0
 npx lint-staged --config ./.husky/lint-staged.config.js

api/app/clients/AnthropicClient.js

@@ -1,4 +1,5 @@
 const Anthropic = require('@anthropic-ai/sdk');
+const { logger } = require('@librechat/data-schemas');
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const {
   Constants,
@@ -9,7 +10,7 @@ const {
   getResponseSender,
   validateVisionModel,
 } = require('librechat-data-provider');
-const { SplitStreamHandler: _Handler } = require('@librechat/agents');
+const { sleep, SplitStreamHandler: _Handler } = require('@librechat/agents');
 const {
   Tokenizer,
   createFetch,
@@ -31,9 +32,7 @@ const {
 } = require('./prompts');
 const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
-const { sleep } = require('~/server/utils');
 const BaseClient = require('./BaseClient');
-const { logger } = require('~/config');
 
 const HUMAN_PROMPT = '\n\nHuman:';
 const AI_PROMPT = '\n\nAssistant:';

api/app/clients/BaseClient.js

@@ -1,20 +1,29 @@
 const crypto = require('crypto');
 const fetch = require('node-fetch');
 const { logger } = require('@librechat/data-schemas');
-const { getBalanceConfig } = require('@librechat/api');
 const {
-  supportsBalanceCheck,
-  isAgentsEndpoint,
-  isParamEndpoint,
-  EModelEndpoint,
+  getBalanceConfig,
+  extractFileContext,
+  encodeAndFormatAudios,
+  encodeAndFormatVideos,
+  encodeAndFormatDocuments,
+} = require('@librechat/api');
+const {
+  Constants,
+  ErrorTypes,
+  FileSources,
   ContentTypes,
   excludedKeys,
-  ErrorTypes,
-  Constants,
+  EModelEndpoint,
+  isParamEndpoint,
+  isAgentsEndpoint,
+  supportsBalanceCheck,
 } = require('librechat-data-provider');
 const { getMessages, saveMessage, updateMessage, saveConvo, getConvo } = require('~/models');
+const { getStrategyFunctions } = require('~/server/services/Files/strategies');
 const { checkBalance } = require('~/models/balanceMethods');
 const { truncateToolCallOutputs } = require('./prompts');
+const countTokens = require('~/server/utils/countTokens');
 const { getFiles } = require('~/models/File');
 const TextStream = require('./TextStream');
 
@@ -1198,8 +1207,135 @@ class BaseClient {
     return await this.sendCompletion(payload, opts);
   }
 
+  async addDocuments(message, attachments) {
+    const documentResult = await encodeAndFormatDocuments(
+      this.options.req,
+      attachments,
+      {
+        provider: this.options.agent?.provider,
+        useResponsesApi: this.options.agent?.model_parameters?.useResponsesApi,
+      },
+      getStrategyFunctions,
+    );
+    message.documents =
+      documentResult.documents && documentResult.documents.length
+        ? documentResult.documents
+        : undefined;
+    return documentResult.files;
+  }
+
+  async addVideos(message, attachments) {
+    const videoResult = await encodeAndFormatVideos(
+      this.options.req,
+      attachments,
+      this.options.agent.provider,
+      getStrategyFunctions,
+    );
+    message.videos =
+      videoResult.videos && videoResult.videos.length ? videoResult.videos : undefined;
+    return videoResult.files;
+  }
+
+  async addAudios(message, attachments) {
+    const audioResult = await encodeAndFormatAudios(
+      this.options.req,
+      attachments,
+      this.options.agent.provider,
+      getStrategyFunctions,
+    );
+    message.audios =
+      audioResult.audios && audioResult.audios.length ? audioResult.audios : undefined;
+    return audioResult.files;
+  }
+
+  /**
+   * Extracts text context from attachments and sets it on the message.
+   * This handles text that was already extracted from files (OCR, transcriptions, document text, etc.)
+   * @param {TMessage} message - The message to add context to
+   * @param {MongoFile[]} attachments - Array of file attachments
+   * @returns {Promise<void>}
+   */
+  async addFileContextToMessage(message, attachments) {
+    const fileContext = await extractFileContext({
+      attachments,
+      req: this.options?.req,
+      tokenCountFn: (text) => countTokens(text),
+    });
+
+    if (fileContext) {
+      message.fileContext = fileContext;
+    }
+  }
+
+  async processAttachments(message, attachments) {
+    const categorizedAttachments = {
+      images: [],
+      videos: [],
+      audios: [],
+      documents: [],
+    };
+
+    const allFiles = [];
+
+    for (const file of attachments) {
+      /** @type {FileSources} */
+      const source = file.source ?? FileSources.local;
+      if (source === FileSources.text) {
+        allFiles.push(file);
+        continue;
+      }
+      if (file.embedded === true || file.metadata?.fileIdentifier != null) {
+        allFiles.push(file);
+        continue;
+      }
+
+      if (file.type.startsWith('image/')) {
+        categorizedAttachments.images.push(file);
+      } else if (file.type === 'application/pdf') {
+        categorizedAttachments.documents.push(file);
+        allFiles.push(file);
+      } else if (file.type.startsWith('video/')) {
+        categorizedAttachments.videos.push(file);
+        allFiles.push(file);
+      } else if (file.type.startsWith('audio/')) {
+        categorizedAttachments.audios.push(file);
+        allFiles.push(file);
+      }
+    }
+
+    const [imageFiles] = await Promise.all([
+      categorizedAttachments.images.length > 0
+        ? this.addImageURLs(message, categorizedAttachments.images)
+        : Promise.resolve([]),
+      categorizedAttachments.documents.length > 0
+        ? this.addDocuments(message, categorizedAttachments.documents)
+        : Promise.resolve([]),
+      categorizedAttachments.videos.length > 0
+        ? this.addVideos(message, categorizedAttachments.videos)
+        : Promise.resolve([]),
+      categorizedAttachments.audios.length > 0
+        ? this.addAudios(message, categorizedAttachments.audios)
+        : Promise.resolve([]),
+    ]);
+
+    allFiles.push(...imageFiles);
+
+    const seenFileIds = new Set();
+    const uniqueFiles = [];
+
+    for (const file of allFiles) {
+      if (file.file_id && !seenFileIds.has(file.file_id)) {
+        seenFileIds.add(file.file_id);
+        uniqueFiles.push(file);
+      } else if (!file.file_id) {
+        uniqueFiles.push(file);
+      }
+    }
+
+    return uniqueFiles;
+  }
+
   /**
-   *
    * @param {TMessage[]} _messages
    * @returns {Promise<TMessage[]>}
    */
@@ -1248,7 +1384,8 @@ class BaseClient {
         {},
       );
 
-      await this.addImageURLs(message, files, this.visionMode);
+      await this.addFileContextToMessage(message, files);
+      await this.processAttachments(message, files);
 
       this.message_file_map[message.messageId] = files;
       return message;

api/app/clients/GoogleClient.js

@@ -1,4 +1,6 @@
 const { google } = require('googleapis');
+const { sleep } = require('@librechat/agents');
+const { logger } = require('@librechat/data-schemas');
 const { getModelMaxTokens } = require('@librechat/api');
 const { concat } = require('@langchain/core/utils/stream');
 const { ChatVertexAI } = require('@langchain/google-vertexai');
@@ -22,8 +24,6 @@ const {
 } = require('librechat-data-provider');
 const { encodeAndFormat } = require('~/server/services/Files/images');
 const { spendTokens } = require('~/models/spendTokens');
-const { sleep } = require('~/server/utils');
-const { logger } = require('~/config');
 const {
   formatMessage,
   createContextHandlers,

api/app/clients/OpenAIClient.js

@@ -1,6 +1,6 @@
-const { OllamaClient } = require('./OllamaClient');
+const { logger } = require('@librechat/data-schemas');
 const { HttpsProxyAgent } = require('https-proxy-agent');
-const { SplitStreamHandler, CustomOpenAIClient: OpenAI } = require('@librechat/agents');
+const { sleep, SplitStreamHandler, CustomOpenAIClient: OpenAI } = require('@librechat/agents');
 const {
   isEnabled,
   Tokenizer,
@@ -34,16 +34,15 @@ const {
   createContextHandlers,
 } = require('./prompts');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
-const { addSpaceIfNeeded, sleep } = require('~/server/utils');
 const { spendTokens } = require('~/models/spendTokens');
+const { addSpaceIfNeeded } = require('~/server/utils');
 const { handleOpenAIErrors } = require('./tools/util');
+const { OllamaClient } = require('./OllamaClient');
 const { summaryBuffer } = require('./memory');
 const { runTitleChain } = require('./chains');
 const { extractBaseURL } = require('~/utils');
 const { tokenSplit } = require('./document');
 const BaseClient = require('./BaseClient');
-const { createLLM } = require('./llm');
-const { logger } = require('~/config');
 
 class OpenAIClient extends BaseClient {
   constructor(apiKey, options = {}) {
@@ -614,65 +613,8 @@ class OpenAIClient extends BaseClient {
     return (reply ?? '').trim();
   }
 
-  initializeLLM({
-    model = openAISettings.model.default,
-    modelName,
-    temperature = 0.2,
-    max_tokens,
-    streaming,
-  }) {
-    const modelOptions = {
-      modelName: modelName ?? model,
-      temperature,
-      user: this.user,
-    };
-
-    if (max_tokens) {
-      modelOptions.max_tokens = max_tokens;
-    }
-
-    const configOptions = {};
-
-    if (this.langchainProxy) {
-      configOptions.basePath = this.langchainProxy;
-    }
-
-    if (this.useOpenRouter) {
-      configOptions.basePath = 'https://openrouter.ai/api/v1';
-      configOptions.baseOptions = {
-        headers: {
-          'HTTP-Referer': 'https://librechat.ai',
-          'X-Title': 'LibreChat',
-        },
-      };
-    }
-
-    const { headers } = this.options;
-    if (headers && typeof headers === 'object' && !Array.isArray(headers)) {
-      configOptions.baseOptions = {
-        headers: resolveHeaders({
-          headers: {
-            ...headers,
-            ...configOptions?.baseOptions?.headers,
-          },
-        }),
-      };
-    }
-
-    if (this.options.proxy) {
-      configOptions.httpAgent = new HttpsProxyAgent(this.options.proxy);
-      configOptions.httpsAgent = new HttpsProxyAgent(this.options.proxy);
-    }
-
-    const llm = createLLM({
-      modelOptions,
-      configOptions,
-      openAIApiKey: this.apiKey,
-      azure: this.azure,
-      streaming,
-    });
-
-    return llm;
+  initializeLLM() {
+    throw new Error('Deprecated');
   }
 
   /**

api/app/clients/TextStream.js

@@ -1,5 +1,5 @@
 const { Readable } = require('stream');
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 class TextStream extends Readable {
   constructor(text, options = {}) {

api/app/clients/agents/CustomAgent/outputParser.js

@@ -1,5 +1,5 @@
+const { logger } = require('@librechat/data-schemas');
 const { ZeroShotAgentOutputParser } = require('langchain/agents');
-const { logger } = require('~/config');
 
 class CustomOutputParser extends ZeroShotAgentOutputParser {
   constructor(fields) {

api/app/clients/chains/runTitleChain.js

@@ -1,7 +1,7 @@
 const { z } = require('zod');
+const { logger } = require('@librechat/data-schemas');
 const { langPrompt, createTitlePrompt, escapeBraces, getSnippet } = require('../prompts');
 const { createStructuredOutputChainFromZod } = require('langchain/chains/openai_functions');
-const { logger } = require('~/config');
 
 const langSchema = z.object({
   language: z.string().describe('The language of the input text (full noun, no abbreviations).'),

api/app/clients/llm/createLLM.js

@@ -1,81 +0,0 @@
-const { ChatOpenAI } = require('@langchain/openai');
-const { isEnabled, sanitizeModelName, constructAzureURL } = require('@librechat/api');
-
-/**
- * Creates a new instance of a language model (LLM) for chat interactions.
- *
- * @param {Object} options - The options for creating the LLM.
- * @param {ModelOptions} options.modelOptions - The options specific to the model, including modelName, temperature, presence_penalty, frequency_penalty, and other model-related settings.
- * @param {ConfigOptions} options.configOptions - Configuration options for the API requests, including proxy settings and custom headers.
- * @param {Callbacks} [options.callbacks] - Callback functions for managing the lifecycle of the LLM, including token buffers, context, and initial message count.
- * @param {boolean} [options.streaming=false] - Determines if the LLM should operate in streaming mode.
- * @param {string} options.openAIApiKey - The API key for OpenAI, used for authentication.
- * @param {AzureOptions} [options.azure={}] - Optional Azure-specific configurations. If provided, Azure configurations take precedence over OpenAI configurations.
- *
- * @returns {ChatOpenAI} An instance of the ChatOpenAI class, configured with the provided options.
- *
- * @example
- * const llm = createLLM({
- *   modelOptions: { modelName: 'gpt-4o-mini', temperature: 0.2 },
- *   configOptions: { basePath: 'https://example.api/path' },
- *   callbacks: { onMessage: handleMessage },
- *   openAIApiKey: 'your-api-key'
- * });
- */
-function createLLM({
-  modelOptions,
-  configOptions,
-  callbacks,
-  streaming = false,
-  openAIApiKey,
-  azure = {},
-}) {
-  let credentials = { openAIApiKey };
-  let configuration = {
-    apiKey: openAIApiKey,
-    ...(configOptions.basePath && { baseURL: configOptions.basePath }),
-  };
-
-  /**  @type {AzureOptions} */
-  let azureOptions = {};
-  if (azure) {
-    const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
-
-    credentials = {};
-    configuration = {};
-    azureOptions = azure;
-
-    azureOptions.azureOpenAIApiDeploymentName = useModelName
-      ? sanitizeModelName(modelOptions.modelName)
-      : azureOptions.azureOpenAIApiDeploymentName;
-  }
-
-  if (azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
-    modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
-  }
-
-  if (azure && configOptions.basePath) {
-    const azureURL = constructAzureURL({
-      baseURL: configOptions.basePath,
-      azureOptions,
-    });
-    azureOptions.azureOpenAIBasePath = azureURL.split(
-      `/${azureOptions.azureOpenAIApiDeploymentName}`,
-    )[0];
-  }
-
-  return new ChatOpenAI(
-    {
-      streaming,
-      credentials,
-      configuration,
-      ...azureOptions,
-      ...modelOptions,
-      ...credentials,
-      callbacks,
-    },
-    configOptions,
-  );
-}
-
-module.exports = createLLM;

api/app/clients/llm/index.js

@@ -1,7 +1,5 @@
-const createLLM = require('./createLLM');
 const createCoherePayload = require('./createCoherePayload');
 
 module.exports = {
-  createLLM,
   createCoherePayload,
 };

api/app/clients/memory/example.js

@@ -22,17 +22,17 @@
       '\n' +
       'Celestia had the power to grant one wish to anyone who dared to find her abode. Ethan, captivated by the tales he had read and yearning for something greater, approached the cottage with trepidation. When he shared his desire to embark on a grand adventure, Celestia smiled warmly and agreed to grant his wish.\n' +
       '\n' +
-      'With a wave of her wand and a sprinkle of stardust, Celestia bestowed upon Ethan a magical necklace. This necklace, adorned with a rare gemstone called the Eye of Imagination, had the power to turn dreams and imagination into reality. From that moment forward, Ethan\'s every thought and idea became manifest.\n' +
+      "With a wave of her wand and a sprinkle of stardust, Celestia bestowed upon Ethan a magical necklace. This necklace, adorned with a rare gemstone called the Eye of Imagination, had the power to turn dreams and imagination into reality. From that moment forward, Ethan's every thought and idea became manifest.\n" +
       '\n' +
       'Energized by this newfound power, Ethan continued his journey, encountering mythical creatures, solving riddles, and overcoming treacherous obstacles along the way. With the Eye of Imagination, he brought life to ancient statues, unlocked hidden doors, and even tamed fiery dragons.\n' +
       '\n' +
       'As days turned into weeks and weeks into months, Ethan became wiser and more in tune with the world around him. He learned that true adventure was not merely about seeking thrills and conquering the unknown, but also about fostering compassion, friendship, and a deep appreciation for the beauty of the ordinary.\n' +
       '\n' +
-      'Eventually, Ethan\'s journey led him back to his village. With the Eye of Imagination, he transformed the village into a place of wonders and endless possibilities. Fields blossomed into vibrant gardens, simple tools turned into intricate works of art, and the villagers felt a renewed sense of hope and inspiration.\n' +
+      "Eventually, Ethan's journey led him back to his village. With the Eye of Imagination, he transformed the village into a place of wonders and endless possibilities. Fields blossomed into vibrant gardens, simple tools turned into intricate works of art, and the villagers felt a renewed sense of hope and inspiration.\n" +
       '\n' +
-      'Ethan, now known as the Village Magician, realized that the true magic lied within everyone\'s hearts. He taught the villagers to embrace their creativity, to dream big, and to never underestimate the power of imagination. And so, the village flourished, becoming a beacon of wonder and creativity for all to see.\n' +
+      "Ethan, now known as the Village Magician, realized that the true magic lied within everyone's hearts. He taught the villagers to embrace their creativity, to dream big, and to never underestimate the power of imagination. And so, the village flourished, becoming a beacon of wonder and creativity for all to see.\n" +
       '\n' +
-      'In the years that followed, Ethan\'s adventures continued, though mostly within the confines of his beloved village. But he never forgot the thrill of that first grand adventure. And every now and then, when looking up at the starry night sky, he would allow his mind to wander, knowing that the greatest adventures were still waiting to be discovered.',
+      "In the years that followed, Ethan's adventures continued, though mostly within the confines of his beloved village. But he never forgot the thrill of that first grand adventure. And every now and then, when looking up at the starry night sky, he would allow his mind to wander, knowing that the greatest adventures were still waiting to be discovered.",
   },
   {
     role: 'user',
@@ -41,30 +41,30 @@
       '\n' +
       'Once there was a young lad by the name of Ethan, raised in a little hamlet nestled betwixt the verdant knolls, who possessed an irrepressible yearning for knowledge, a thirst unquenchable and a spirit teeming with curiosity. As the golden sun bathed the bucolic land in its effulgent light, he would tread through the village, his ears attuned to the tales spun by the townsfolk, his eyes absorbing the tapestry woven by the world surrounding him.\n' +
       '\n' +
-      'One radiant day, whilst exploring the periphery of the settlement, Ethan chanced upon a timeworn tome, ensconced amidst the roots of an ancient oak, cloaked in the shroud of neglect. The dust gathered upon it spoke of time\'s relentless march. A book of fairy tales – garnished with vivid descriptions of mystical woods, fantastical beasts, and ventures daring beyond the ordinary humdrum existence. Intrigued and beguiled, Ethan pried open the weathered pages and succumbed to their beckoning whispers.\n' +
+      "One radiant day, whilst exploring the periphery of the settlement, Ethan chanced upon a timeworn tome, ensconced amidst the roots of an ancient oak, cloaked in the shroud of neglect. The dust gathered upon it spoke of time's relentless march. A book of fairy tales – garnished with vivid descriptions of mystical woods, fantastical beasts, and ventures daring beyond the ordinary humdrum existence. Intrigued and beguiled, Ethan pried open the weathered pages and succumbed to their beckoning whispers.\n" +
       '\n' +
-      'In each tale, he was transported to a realm of enchantment and wonderment, inexorably tugging at the strings of his yearning for peripatetic exploration. Inspired by the narratives he had devoured, Ethan resolved to bid adieu to kinfolk and embark upon a sojourn, with dreams of procuring a firsthand glimpse into the domain of mystique that lay beyond the village\'s circumscribed boundary.\n' +
+      "In each tale, he was transported to a realm of enchantment and wonderment, inexorably tugging at the strings of his yearning for peripatetic exploration. Inspired by the narratives he had devoured, Ethan resolved to bid adieu to kinfolk and embark upon a sojourn, with dreams of procuring a firsthand glimpse into the domain of mystique that lay beyond the village's circumscribed boundary.\n" +
       '\n' +
       'Thus, he bade tearful farewells, girding himself for a path that guided him to a dense and captivating woodland, whispered of as a sanctuary to mythical beings and clandestine troves of treasures. As Ethan plunged deeper into the heart of the arboreal labyrinth, he felt a palpable surge of electricity, as though the sylvan sentinels whispered enigmatic secrets that only the perceptive ear could discern.\n' +
       '\n' +
-      'It wasn\'t long before his path intertwined with that of a capricious sprite christened Sparkle, bearing an impish grin and eyes sparkling with mischief. Sparkle played the role of Virgil to Ethan\'s Dante, guiding him through the intricate tapestry of arboreal scions, issuing warnings of perils concealed and spinning tales of ancient entities that called this very bosky enclave home.\n' +
+      "It wasn't long before his path intertwined with that of a capricious sprite christened Sparkle, bearing an impish grin and eyes sparkling with mischief. Sparkle played the role of Virgil to Ethan's Dante, guiding him through the intricate tapestry of arboreal scions, issuing warnings of perils concealed and spinning tales of ancient entities that called this very bosky enclave home.\n" +
       '\n' +
       'Together, they stumbled upon a luminous lake, its shimmering waters imbued with a celestial light. At the center lay a diminutive island, upon which reposed a cottage fashioned from tender petals and verdant leaves. It belonged to an ancient sorceress of considerable wisdom, Celestia by name.\n' +
       '\n' +
-      'Celestia, with her power to bestow a single wish on any intrepid soul who happened upon her abode, met Ethan\'s desire with a congenial nod, his fervor for a grand expedition not lost on her penetrating gaze. In response, she bequeathed unto him a necklace of magical manufacture – adorned with the rare gemstone known as the Eye of Imagination – whose very essence transformed dreams into vivid reality. From that moment forward, not a single cogitation nor nebulous fanciful notion of Ethan\'s ever lacked physicality.\n' +
+      "Celestia, with her power to bestow a single wish on any intrepid soul who happened upon her abode, met Ethan's desire with a congenial nod, his fervor for a grand expedition not lost on her penetrating gaze. In response, she bequeathed unto him a necklace of magical manufacture – adorned with the rare gemstone known as the Eye of Imagination – whose very essence transformed dreams into vivid reality. From that moment forward, not a single cogitation nor nebulous fanciful notion of Ethan's ever lacked physicality.\n" +
       '\n' +
       'Energized by this newfound potency, Ethan continued his sojourn, encountering mythical creatures, unraveling cerebral enigmas, and braving perils aplenty along the winding roads of destiny. Armed with the Eye of Imagination, he brought forth life from immobile statuary, unlocked forbidding portals, and even tamed the ferocious beasts of yore – their fiery breath reduced to a whisper.\n' +
       '\n' +
-      'As the weeks metamorphosed into months, Ethan grew wiser and more attuned to the ebb and flow of the world enveloping him. He gleaned that true adventure isn\'t solely confined to sating a thirst for adrenaline and conquering the unknown; indeed, it resides in fostering compassion, fostering amicable bonds, and cherishing the beauty entwined within the quotidian veld.\n' +
+      "As the weeks metamorphosed into months, Ethan grew wiser and more attuned to the ebb and flow of the world enveloping him. He gleaned that true adventure isn't solely confined to sating a thirst for adrenaline and conquering the unknown; indeed, it resides in fostering compassion, fostering amicable bonds, and cherishing the beauty entwined within the quotidian veld.\n" +
       '\n' +
-      'Eventually, Ethan\'s quest drew him homeward, back to his village. Buoying the Eye of Imagination\'s ethereal power, he imbued the hitherto unremarkable settlement with the patina of infinite possibilities. The bounteous fields bloomed into kaleidoscopic gardens, simple instruments transmuting into intricate masterpieces, and the villagers themselves clasped within their hearts a renewed ardor, a conflagration of hope and inspiration.\n' +
+      "Eventually, Ethan's quest drew him homeward, back to his village. Buoying the Eye of Imagination's ethereal power, he imbued the hitherto unremarkable settlement with the patina of infinite possibilities. The bounteous fields bloomed into kaleidoscopic gardens, simple instruments transmuting into intricate masterpieces, and the villagers themselves clasped within their hearts a renewed ardor, a conflagration of hope and inspiration.\n" +
       '\n' +
-      'Behold Ethan, at present hailed as the Village Magician – a cognomen befitting his sorcery wielded within the confines of the community he adored. His exploits may have become tethered to a geographical locale, but the flame kindled by that premier sojourn never flickered. Occasionally, beneath the veiled twilight canopy, when peering skyward toward the astral canvas bedecked with countless luminescent diamonds, he\'d allow his mind to wander, cognizant of boundless adventures yet to take flight, forever awaiting his indomitable spirit.',
+      "Behold Ethan, at present hailed as the Village Magician – a cognomen befitting his sorcery wielded within the confines of the community he adored. His exploits may have become tethered to a geographical locale, but the flame kindled by that premier sojourn never flickered. Occasionally, beneath the veiled twilight canopy, when peering skyward toward the astral canvas bedecked with countless luminescent diamonds, he'd allow his mind to wander, cognizant of boundless adventures yet to take flight, forever awaiting his indomitable spirit.",
   },
   {
     role: 'assistant',
     content:
-      'Beautifully rewritten! It captures the essence of Cormac McCarthy\'s style, with its descriptive language and evocative imagery. The story retains the spirit of adventure and the power of imagination seen in the original. Well done! If you have any more requests or if there\'s anything else I can assist you with, feel free to let me know.',
+      "Beautifully rewritten! It captures the essence of Cormac McCarthy's style, with its descriptive language and evocative imagery. The story retains the spirit of adventure and the power of imagination seen in the original. Well done! If you have any more requests or if there's anything else I can assist you with, feel free to let me know.",
   },
   {
     role: 'user',
@@ -73,19 +73,19 @@
   {
     role: 'assistant',
     content:
-      'Certainly! Here\'s a short story reflecting Cormac McCarthy\'s style:\n' +
+      "Certainly! Here's a short story reflecting Cormac McCarthy's style:\n" +
       '\n' +
       'In a desolate wasteland scarred by the sins of mankind, a lone traveler ventured forth, his name forgotten by time, etched upon the shadows of memory. He navigated the barren plains, where the sun beat down, merciless and unrelenting, scorching the parched earth beneath his weary boots.\n' +
       '\n' +
       'Desolation was his only companion, the forsaken landscape a testament to the darkness that had befallen this forsaken realm. The wind whispered secrets long lost, carrying with it the echoes of a civilization long since undone, swallowed by the abyss.\n' +
       '\n' +
-      'Amongst the shattered remnants of fallen cities, he sought solace, a glimmer of hope amidst the desolation. Rusted remnants of steel and concrete stood as sentinels of mankind\'s hubris, their jagged edges a chilling reminder of the fragility of all that was once deemed invincible.\n' +
+      "Amongst the shattered remnants of fallen cities, he sought solace, a glimmer of hope amidst the desolation. Rusted remnants of steel and concrete stood as sentinels of mankind's hubris, their jagged edges a chilling reminder of the fragility of all that was once deemed invincible.\n" +
       '\n' +
       'As twilight descended, casting a pallid hue upon the lifeless land, he happened upon a dilapidated house, its walls crumbling under the weight of time. Drawn to the desolation, he pushed open the creaking door, its rusty hinges screaming in protest.\n' +
       '\n' +
       'Inside, a world frozen in time awaited him. Dust particles danced through the air, illuminated by slivers of light that pierced the broken windows. Here, the past lay trapped, a melancholic tableau of lives lost and dreams shattered.\n' +
       '\n' +
-      'He wandered through the empty rooms, bare walls whispering stories untold. In the corner, a dilapidated piano stood, its ivory keys long since abandoned by a musician\'s touch. He approached it cautiously, a faint glimmer of anticipation igniting in his weather-worn eyes.\n' +
+      "He wandered through the empty rooms, bare walls whispering stories untold. In the corner, a dilapidated piano stood, its ivory keys long since abandoned by a musician's touch. He approached it cautiously, a faint glimmer of anticipation igniting in his weather-worn eyes.\n" +
       '\n' +
       'Determined, he carefully brushed away the dust and debris that cloaked the instrument. With trembling hands, he pressed a key, and a discordant note filled the air, mingling with the sighs of forgotten melodies. The sound echoed through the silence, bringing with it the remnants of forgotten symphonies.\n' +
       '\n' +
@@ -103,13 +103,13 @@
   {
     role: 'assistant',
     content:
-      'Thank you! I\'m glad you enjoyed it. If you have any more writing requests or if there\'s anything else I can assist you with, feel free to let me know.',
+      "Thank you! I'm glad you enjoyed it. If you have any more writing requests or if there's anything else I can assist you with, feel free to let me know.",
   },
   { role: 'user', content: 'you are very helpful' },
   {
     role: 'assistant',
     content:
-      'Thank you for your kind words! I\'m here to assist you in any way I can. If you have any more questions, need further assistance, or just want to chat, feel free to reach out.',
+      "Thank you for your kind words! I'm here to assist you in any way I can. If you have any more questions, need further assistance, or just want to chat, feel free to reach out.",
   },
   { role: 'user', content: 'no you man' },
 ];

api/app/clients/memory/summaryBuffer.demo.js

@@ -1,31 +0,0 @@
-require('dotenv').config();
-const { ChatOpenAI } = require('@langchain/openai');
-const { getBufferString, ConversationSummaryBufferMemory } = require('langchain/memory');
-
-const chatPromptMemory = new ConversationSummaryBufferMemory({
-  llm: new ChatOpenAI({ modelName: 'gpt-4o-mini', temperature: 0 }),
-  maxTokenLimit: 10,
-  returnMessages: true,
-});
-
-(async () => {
-  await chatPromptMemory.saveContext({ input: 'hi my name\'s Danny' }, { output: 'whats up' });
-  await chatPromptMemory.saveContext({ input: 'not much you' }, { output: 'not much' });
-  await chatPromptMemory.saveContext(
-    { input: 'are you excited for the olympics?' },
-    { output: 'not really' },
-  );
-
-  // We can also utilize the predict_new_summary method directly.
-  const messages = await chatPromptMemory.chatHistory.getMessages();
-  console.log('MESSAGES\n\n');
-  console.log(JSON.stringify(messages));
-  const previous_summary = '';
-  const predictSummary = await chatPromptMemory.predictNewSummary(messages, previous_summary);
-  console.log('SUMMARY\n\n');
-  console.log(JSON.stringify(getBufferString([{ role: 'system', content: predictSummary }])));
-
-  // const { history } = await chatPromptMemory.loadMemoryVariables({});
-  // console.log('HISTORY\n\n');
-  // console.log(JSON.stringify(history));
-})();

api/app/clients/memory/summaryBuffer.js

@@ -1,7 +1,7 @@
+const { logger } = require('@librechat/data-schemas');
 const { ConversationSummaryBufferMemory, ChatMessageHistory } = require('langchain/memory');
 const { formatLangChainMessages, SUMMARY_PROMPT } = require('../prompts');
 const { predictNewSummary } = require('../chains');
-const { logger } = require('~/config');
 
 const createSummaryBufferMemory = ({ llm, prompt, messages, ...rest }) => {
   const chatHistory = new ChatMessageHistory(messages);

api/app/clients/output_parsers/addImages.js

@@ -1,4 +1,4 @@
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 /**
  * The `addImages` function corrects any erroneous image URLs in the `responseMessage.text`

api/app/clients/output_parsers/addImages.spec.js

@@ -74,7 +74,7 @@ describe('addImages', () => {
 
   it('should append correctly from a real scenario', () => {
     responseMessage.text =
-      'Here is the generated image based on your request. It depicts a surreal landscape filled with floating musical notes. The style is impressionistic, with vibrant sunset hues dominating the scene. At the center, there\'s a silhouette of a grand piano, adding a dreamy emotion to the overall image. This could serve as a unique and creative music album cover. Would you like to make any changes or generate another image?';
+      "Here is the generated image based on your request. It depicts a surreal landscape filled with floating musical notes. The style is impressionistic, with vibrant sunset hues dominating the scene. At the center, there's a silhouette of a grand piano, adding a dreamy emotion to the overall image. This could serve as a unique and creative music album cover. Would you like to make any changes or generate another image?";
     const originalText = responseMessage.text;
     const imageMarkdown = '![generated image](/images/img-RnVWaYo2Yg4x3e0isICiMuf5.png)';
     intermediateSteps.push({ observation: imageMarkdown });

api/app/clients/output_parsers/handleOutputs.js

@@ -65,14 +65,14 @@ function buildPromptPrefix({ result, message, functionsAgent }) {
   const preliminaryAnswer =
     result.output?.length > 0 ? `Preliminary Answer: "${result.output.trim()}"` : '';
   const prefix = preliminaryAnswer
-    ? 'review and improve the answer you generated using plugins in response to the User Message below. The user hasn\'t seen your answer or thoughts yet.'
+    ? "review and improve the answer you generated using plugins in response to the User Message below. The user hasn't seen your answer or thoughts yet."
     : 'respond to the User Message below based on your preliminary thoughts & actions.';
 
   return `As a helpful AI Assistant, ${prefix}${errorMessage}\n${internalActions}
 ${preliminaryAnswer}
 Reply conversationally to the User based on your ${
-  preliminaryAnswer ? 'preliminary answer, ' : ''
-}internal actions, thoughts, and observations, making improvements wherever possible, but do not modify URLs.
+    preliminaryAnswer ? 'preliminary answer, ' : ''
+  }internal actions, thoughts, and observations, making improvements wherever possible, but do not modify URLs.
 ${
   preliminaryAnswer
     ? ''

api/app/clients/prompts/addCacheControl.spec.js

@@ -6,7 +6,7 @@ describe('addCacheControl', () => {
       { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
       { role: 'assistant', content: [{ type: 'text', text: 'Hi there' }] },
       { role: 'user', content: [{ type: 'text', text: 'How are you?' }] },
-      { role: 'assistant', content: [{ type: 'text', text: 'I\'m doing well, thanks!' }] },
+      { role: 'assistant', content: [{ type: 'text', text: "I'm doing well, thanks!" }] },
       { role: 'user', content: [{ type: 'text', text: 'Great!' }] },
     ];
 
@@ -22,7 +22,7 @@ describe('addCacheControl', () => {
       { role: 'user', content: 'Hello' },
       { role: 'assistant', content: 'Hi there' },
       { role: 'user', content: 'How are you?' },
-      { role: 'assistant', content: 'I\'m doing well, thanks!' },
+      { role: 'assistant', content: "I'm doing well, thanks!" },
       { role: 'user', content: 'Great!' },
     ];
 
@@ -140,7 +140,7 @@ describe('addCacheControl', () => {
       { role: 'user', content: 'Hello' },
       { role: 'assistant', content: 'Hi there' },
       { role: 'user', content: [{ type: 'text', text: 'How are you?' }] },
-      { role: 'assistant', content: 'I\'m doing well, thanks!' },
+      { role: 'assistant', content: "I'm doing well, thanks!" },
       { role: 'user', content: 'Great!' },
     ];
 
@@ -160,7 +160,7 @@ describe('addCacheControl', () => {
       },
     ]);
     expect(result[1].content).toBe('Hi there');
-    expect(result[3].content).toBe('I\'m doing well, thanks!');
+    expect(result[3].content).toBe("I'm doing well, thanks!");
   });
 
   test('should handle edge case with multiple content types', () => {

api/app/clients/prompts/artifacts.js

@@ -3,6 +3,7 @@ const { EModelEndpoint, ArtifactModes } = require('librechat-data-provider');
 const { generateShadcnPrompt } = require('~/app/clients/prompts/shadcn-docs/generate');
 const { components } = require('~/app/clients/prompts/shadcn-docs/components');
 
+/** @deprecated */
 // eslint-disable-next-line no-unused-vars
 const artifactsPromptV1 = dedent`The assistant can create and reference artifacts during conversations.
   
@@ -115,6 +116,7 @@ Here are some examples of correct usage of artifacts:
     </assistant_response>
   </example>
 </examples>`;
+
 const artifactsPrompt = dedent`The assistant can create and reference artifacts during conversations.
   
 Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
@@ -165,6 +167,10 @@ Artifacts are for substantial, self-contained content that users might modify or
     - SVG: "image/svg+xml"
       - The user interface will render the Scalable Vector Graphics (SVG) image within the artifact tags.
       - The assistant should specify the viewbox of the SVG rather than defining a width/height
+    - Markdown: "text/markdown" or "text/md"
+      - The user interface will render Markdown content placed within the artifact tags.
+      - Supports standard Markdown syntax including headers, lists, links, images, code blocks, tables, and more.
+      - Both "text/markdown" and "text/md" are accepted as valid MIME types for Markdown content.
     - Mermaid Diagrams: "application/vnd.mermaid"
       - The user interface will render Mermaid diagrams placed within the artifact tags.
     - React Components: "application/vnd.react"
@@ -366,6 +372,10 @@ Artifacts are for substantial, self-contained content that users might modify or
     - SVG: "image/svg+xml"
       - The user interface will render the Scalable Vector Graphics (SVG) image within the artifact tags.
       - The assistant should specify the viewbox of the SVG rather than defining a width/height
+    - Markdown: "text/markdown" or "text/md"
+      - The user interface will render Markdown content placed within the artifact tags.
+      - Supports standard Markdown syntax including headers, lists, links, images, code blocks, tables, and more.
+      - Both "text/markdown" and "text/md" are accepted as valid MIME types for Markdown content.
     - Mermaid Diagrams: "application/vnd.mermaid"
       - The user interface will render Mermaid diagrams placed within the artifact tags.
     - React Components: "application/vnd.react"

api/app/clients/prompts/formatAgentMessages.spec.js

@@ -130,7 +130,7 @@ describe('formatAgentMessages', () => {
         content: [
           {
             type: ContentTypes.TEXT,
-            [ContentTypes.TEXT]: 'I\'ll search for that information.',
+            [ContentTypes.TEXT]: "I'll search for that information.",
             tool_call_ids: ['search_1'],
           },
           {
@@ -144,7 +144,7 @@ describe('formatAgentMessages', () => {
           },
           {
             type: ContentTypes.TEXT,
-            [ContentTypes.TEXT]: 'Now, I\'ll convert the temperature.',
+            [ContentTypes.TEXT]: "Now, I'll convert the temperature.",
             tool_call_ids: ['convert_1'],
           },
           {
@@ -156,7 +156,7 @@ describe('formatAgentMessages', () => {
               output: '23.89°C',
             },
           },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Here\'s your answer.' },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's your answer." },
         ],
       },
     ];
@@ -171,7 +171,7 @@ describe('formatAgentMessages', () => {
     expect(result[4]).toBeInstanceOf(AIMessage);
 
     // Check first AIMessage
-    expect(result[0].content).toBe('I\'ll search for that information.');
+    expect(result[0].content).toBe("I'll search for that information.");
     expect(result[0].tool_calls).toHaveLength(1);
     expect(result[0].tool_calls[0]).toEqual({
       id: 'search_1',
@@ -187,7 +187,7 @@ describe('formatAgentMessages', () => {
     );
 
     // Check second AIMessage
-    expect(result[2].content).toBe('Now, I\'ll convert the temperature.');
+    expect(result[2].content).toBe("Now, I'll convert the temperature.");
     expect(result[2].tool_calls).toHaveLength(1);
     expect(result[2].tool_calls[0]).toEqual({
       id: 'convert_1',
@@ -202,7 +202,7 @@ describe('formatAgentMessages', () => {
 
     // Check final AIMessage
     expect(result[4].content).toStrictEqual([
-      { [ContentTypes.TEXT]: 'Here\'s your answer.', type: ContentTypes.TEXT },
+      { [ContentTypes.TEXT]: "Here's your answer.", type: ContentTypes.TEXT },
     ]);
   });
 
@@ -217,7 +217,7 @@ describe('formatAgentMessages', () => {
         role: 'assistant',
         content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'How can I help you?' }],
       },
-      { role: 'user', content: 'What\'s the weather?' },
+      { role: 'user', content: "What's the weather?" },
       {
         role: 'assistant',
         content: [
@@ -240,7 +240,7 @@ describe('formatAgentMessages', () => {
       {
         role: 'assistant',
         content: [
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Here\'s the weather information.' },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's the weather information." },
         ],
       },
     ];
@@ -265,12 +265,12 @@ describe('formatAgentMessages', () => {
       { [ContentTypes.TEXT]: 'How can I help you?', type: ContentTypes.TEXT },
     ]);
     expect(result[2].content).toStrictEqual([
-      { [ContentTypes.TEXT]: 'What\'s the weather?', type: ContentTypes.TEXT },
+      { [ContentTypes.TEXT]: "What's the weather?", type: ContentTypes.TEXT },
     ]);
     expect(result[3].content).toBe('Let me check that for you.');
     expect(result[4].content).toBe('Sunny, 75°F');
     expect(result[5].content).toStrictEqual([
-      { [ContentTypes.TEXT]: 'Here\'s the weather information.', type: ContentTypes.TEXT },
+      { [ContentTypes.TEXT]: "Here's the weather information.", type: ContentTypes.TEXT },
     ]);
 
     // Check that there are no consecutive AIMessages

api/app/clients/prompts/instructions.js

@@ -1,8 +1,8 @@
 module.exports = {
   instructions:
-    'Remember, all your responses MUST be in the format described. Do not respond unless it\'s in the format described, using the structure of Action, Action Input, etc.',
+    "Remember, all your responses MUST be in the format described. Do not respond unless it's in the format described, using the structure of Action, Action Input, etc.",
   errorInstructions:
-    '\nYou encountered an error in attempting a response. The user is not aware of the error so you shouldn\'t mention it.\nReview the actions taken carefully in case there is a partial or complete answer within them.\nError Message:',
+    "\nYou encountered an error in attempting a response. The user is not aware of the error so you shouldn't mention it.\nReview the actions taken carefully in case there is a partial or complete answer within them.\nError Message:",
   imageInstructions:
     'You must include the exact image paths from above, formatted in Markdown syntax: ![alt-text](URL)',
   completionInstructions:

api/app/clients/prompts/shadcn-docs/generate.js

@@ -18,17 +18,17 @@ function generateShadcnPrompt(options) {
     Here are the components that are available, along with how to import them, and how to use them:
 
     ${Object.values(components)
-    .map((component) => {
-      if (useXML) {
-        return dedent`
+      .map((component) => {
+        if (useXML) {
+          return dedent`
             <component>
               <name>${component.componentName}</name>
               <import-instructions>${component.importDocs}</import-instructions>
               <usage-instructions>${component.usageDocs}</usage-instructions>
             </component>
           `;
-      } else {
-        return dedent`
+        } else {
+          return dedent`
             # ${component.componentName}
 
             ## Import Instructions
@@ -37,9 +37,9 @@ function generateShadcnPrompt(options) {
             ## Usage Instructions
             ${component.usageDocs}
           `;
-      }
-    })
-    .join('\n\n')}
+        }
+      })
+      .join('\n\n')}
   `;
 
   return systemPrompt;

api/app/clients/tools/structured/AzureAISearch.js

@@ -1,7 +1,7 @@
 const { z } = require('zod');
 const { Tool } = require('@langchain/core/tools');
+const { logger } = require('@librechat/data-schemas');
 const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
-const { logger } = require('~/config');
 
 class AzureAISearch extends Tool {
   // Constants for default values
@@ -18,7 +18,7 @@ class AzureAISearch extends Tool {
     super();
     this.name = 'azure-ai-search';
     this.description =
-      'Use the \'azure-ai-search\' tool to retrieve search results relevant to your input';
+      "Use the 'azure-ai-search' tool to retrieve search results relevant to your input";
     /* Used to initialize the Tool without necessary variables. */
     this.override = fields.override ?? false;
 

api/app/clients/tools/structured/DALLE3.js

@@ -1,9 +1,8 @@
 const { z } = require('zod');
 const path = require('path');
 const OpenAI = require('openai');
-const fetch = require('node-fetch');
 const { v4: uuidv4 } = require('uuid');
-const { ProxyAgent } = require('undici');
+const { ProxyAgent, fetch } = require('undici');
 const { Tool } = require('@langchain/core/tools');
 const { logger } = require('@librechat/data-schemas');
 const { getImageBasename } = require('@librechat/api');

api/app/clients/tools/structured/FluxAPI.js

@@ -3,12 +3,12 @@ const axios = require('axios');
 const fetch = require('node-fetch');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
+const { logger } = require('@librechat/data-schemas');
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const { FileContext, ContentTypes } = require('librechat-data-provider');
-const { logger } = require('~/config');
 
 const displayMessage =
-  'Flux displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.';
+  "Flux displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
 
 /**
  * FluxAPI - A tool for generating high-quality images from text prompts using the Flux API.

api/app/clients/tools/structured/OpenWeather.js

@@ -232,7 +232,7 @@ class OpenWeather extends Tool {
 
       if (['current_forecast', 'timestamp', 'daily_aggregation', 'overview'].includes(action)) {
         if (typeof finalLat !== 'number' || typeof finalLon !== 'number') {
-          return 'Error: lat and lon are required and must be numbers for this action (or specify \'city\').';
+          return "Error: lat and lon are required and must be numbers for this action (or specify 'city').";
         }
       }
 
@@ -243,7 +243,7 @@ class OpenWeather extends Tool {
       let dt;
       if (action === 'timestamp') {
         if (!date) {
-          return 'Error: For timestamp action, a \'date\' in YYYY-MM-DD format is required.';
+          return "Error: For timestamp action, a 'date' in YYYY-MM-DD format is required.";
         }
         dt = this.convertDateToUnix(date);
       }

api/app/clients/tools/structured/StableDiffusion.js

@@ -6,9 +6,9 @@ const axios = require('axios');
 const sharp = require('sharp');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
+const { logger } = require('@librechat/data-schemas');
 const { FileContext, ContentTypes } = require('librechat-data-provider');
 const paths = require('~/config/paths');
-const { logger } = require('~/config');
 
 const displayMessage =
   "Stable Diffusion displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";

api/app/clients/tools/structured/TraversaalSearch.js

@@ -1,7 +1,7 @@
 const { z } = require('zod');
 const { Tool } = require('@langchain/core/tools');
+const { logger } = require('@librechat/data-schemas');
 const { getEnvironmentVariable } = require('@langchain/core/utils/env');
-const { logger } = require('~/config');
 
 /**
  * Tool for the Traversaal AI search API, Ares.
@@ -21,7 +21,7 @@ class TraversaalSearch extends Tool {
       query: z
         .string()
         .describe(
-          'A properly written sentence to be interpreted by an AI to search the web according to the user\'s request.',
+          "A properly written sentence to be interpreted by an AI to search the web according to the user's request.",
         ),
     });
 
@@ -38,7 +38,6 @@ class TraversaalSearch extends Tool {
     return apiKey;
   }
 
-  // eslint-disable-next-line no-unused-vars
   async _call({ query }, _runManager) {
     const body = {
       query: [query],

api/app/clients/tools/structured/Wolfram.js

@@ -1,8 +1,8 @@
 /* eslint-disable no-useless-escape */
-const axios = require('axios');
 const { z } = require('zod');
+const axios = require('axios');
 const { Tool } = require('@langchain/core/tools');
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 class WolframAlphaAPI extends Tool {
   constructor(fields) {

api/app/clients/tools/util/handleOpenAIErrors.js

@@ -1,5 +1,5 @@
 const OpenAI = require('openai');
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 /**
  * Handles errors that may occur when making requests to OpenAI's API.

api/app/clients/tools/util/handleTools.test.js

@@ -30,7 +30,6 @@ jest.mock('~/server/services/Config', () => ({
   }),
 }));
 
-const { BaseLLM } = require('@langchain/openai');
 const { Calculator } = require('@langchain/community/tools/calculator');
 
 const { User } = require('~/db/models');
@@ -172,7 +171,6 @@ describe('Tool Handlers', () => {
     beforeAll(async () => {
       const toolMap = await loadTools({
         user: fakeUser._id,
-        model: BaseLLM,
         tools: sampleTools,
         returnMap: true,
         useSpecs: true,
@@ -266,7 +264,6 @@ describe('Tool Handlers', () => {
     it('returns an empty object when no tools are requested', async () => {
       toolFunctions = await loadTools({
         user: fakeUser._id,
-        model: BaseLLM,
         returnMap: true,
         useSpecs: true,
       });
@@ -276,7 +273,6 @@ describe('Tool Handlers', () => {
       process.env.SD_WEBUI_URL = mockCredential;
       toolFunctions = await loadTools({
         user: fakeUser._id,
-        model: BaseLLM,
         tools: ['stable-diffusion'],
         functions: true,
         returnMap: true,

api/cache/cacheFactory.js

@@ -1,108 +0,0 @@
-const KeyvRedis = require('@keyv/redis').default;
-const { Keyv } = require('keyv');
-const { RedisStore } = require('rate-limit-redis');
-const { Time } = require('librechat-data-provider');
-const { logger } = require('@librechat/data-schemas');
-const { RedisStore: ConnectRedis } = require('connect-redis');
-const MemoryStore = require('memorystore')(require('express-session'));
-const { keyvRedisClient, ioredisClient, GLOBAL_PREFIX_SEPARATOR } = require('./redisClients');
-const { cacheConfig } = require('./cacheConfig');
-const { violationFile } = require('./keyvFiles');
-
-/**
- * Creates a cache instance using Redis or a fallback store. Suitable for general caching needs.
- * @param {string} namespace - The cache namespace.
- * @param {number} [ttl] - Time to live for cache entries.
- * @param {object} [fallbackStore] - Optional fallback store if Redis is not used.
- * @returns {Keyv} Cache instance.
- */
-const standardCache = (namespace, ttl = undefined, fallbackStore = undefined) => {
-  if (
-    cacheConfig.USE_REDIS &&
-    !cacheConfig.FORCED_IN_MEMORY_CACHE_NAMESPACES?.includes(namespace)
-  ) {
-    try {
-      const keyvRedis = new KeyvRedis(keyvRedisClient);
-      const cache = new Keyv(keyvRedis, { namespace, ttl });
-      keyvRedis.namespace = cacheConfig.REDIS_KEY_PREFIX;
-      keyvRedis.keyPrefixSeparator = GLOBAL_PREFIX_SEPARATOR;
-
-      cache.on('error', (err) => {
-        logger.error(`Cache error in namespace ${namespace}:`, err);
-      });
-
-      return cache;
-    } catch (err) {
-      logger.error(`Failed to create Redis cache for namespace ${namespace}:`, err);
-      throw err;
-    }
-  }
-  if (fallbackStore) return new Keyv({ store: fallbackStore, namespace, ttl });
-  return new Keyv({ namespace, ttl });
-};
-
-/**
- * Creates a cache instance for storing violation data.
- * Uses a file-based fallback store if Redis is not enabled.
- * @param {string} namespace - The cache namespace for violations.
- * @param {number} [ttl] - Time to live for cache entries.
- * @returns {Keyv} Cache instance for violations.
- */
-const violationCache = (namespace, ttl = undefined) => {
-  return standardCache(`violations:${namespace}`, ttl, violationFile);
-};
-
-/**
- * Creates a session cache instance using Redis or in-memory store.
- * @param {string} namespace - The session namespace.
- * @param {number} [ttl] - Time to live for session entries.
- * @returns {MemoryStore | ConnectRedis} Session store instance.
- */
-const sessionCache = (namespace, ttl = undefined) => {
-  namespace = namespace.endsWith(':') ? namespace : `${namespace}:`;
-  if (!cacheConfig.USE_REDIS) return new MemoryStore({ ttl, checkPeriod: Time.ONE_DAY });
-  const store = new ConnectRedis({ client: ioredisClient, ttl, prefix: namespace });
-  if (ioredisClient) {
-    ioredisClient.on('error', (err) => {
-      logger.error(`Session store Redis error for namespace ${namespace}:`, err);
-    });
-  }
-  return store;
-};
-
-/**
- * Creates a rate limiter cache using Redis.
- * @param {string} prefix - The key prefix for rate limiting.
- * @returns {RedisStore|undefined} RedisStore instance or undefined if Redis is not used.
- */
-const limiterCache = (prefix) => {
-  if (!prefix) throw new Error('prefix is required');
-  if (!cacheConfig.USE_REDIS) return undefined;
-  prefix = prefix.endsWith(':') ? prefix : `${prefix}:`;
-
-  try {
-    if (!ioredisClient) {
-      logger.warn(`Redis client not available for rate limiter with prefix ${prefix}`);
-      return undefined;
-    }
-
-    return new RedisStore({ sendCommand, prefix });
-  } catch (err) {
-    logger.error(`Failed to create Redis rate limiter for prefix ${prefix}:`, err);
-    return undefined;
-  }
-};
-
-const sendCommand = (...args) => {
-  if (!ioredisClient) {
-    logger.warn('Redis client not available for command execution');
-    return Promise.reject(new Error('Redis client not available'));
-  }
-
-  return ioredisClient.call(...args).catch((err) => {
-    logger.error('Redis command execution failed:', err);
-    throw err;
-  });
-};
-
-module.exports = { standardCache, sessionCache, violationCache, limiterCache };

api/cache/cacheFactory.spec.js

@@ -1,432 +0,0 @@
-const { Time } = require('librechat-data-provider');
-
-// Mock dependencies first
-const mockKeyvRedis = {
-  namespace: '',
-  keyPrefixSeparator: '',
-};
-
-const mockKeyv = jest.fn().mockReturnValue({
-  mock: 'keyv',
-  on: jest.fn(),
-});
-const mockConnectRedis = jest.fn().mockReturnValue({ mock: 'connectRedis' });
-const mockMemoryStore = jest.fn().mockReturnValue({ mock: 'memoryStore' });
-const mockRedisStore = jest.fn().mockReturnValue({ mock: 'redisStore' });
-
-const mockIoredisClient = {
-  call: jest.fn(),
-  on: jest.fn(),
-};
-
-const mockKeyvRedisClient = {};
-const mockViolationFile = {};
-
-// Mock modules before requiring the main module
-jest.mock('@keyv/redis', () => ({
-  default: jest.fn().mockImplementation(() => mockKeyvRedis),
-}));
-
-jest.mock('keyv', () => ({
-  Keyv: mockKeyv,
-}));
-
-jest.mock('./cacheConfig', () => ({
-  cacheConfig: {
-    USE_REDIS: false,
-    REDIS_KEY_PREFIX: 'test',
-    FORCED_IN_MEMORY_CACHE_NAMESPACES: [],
-  },
-}));
-
-jest.mock('./redisClients', () => ({
-  keyvRedisClient: mockKeyvRedisClient,
-  ioredisClient: mockIoredisClient,
-  GLOBAL_PREFIX_SEPARATOR: '::',
-}));
-
-jest.mock('./keyvFiles', () => ({
-  violationFile: mockViolationFile,
-}));
-
-jest.mock('connect-redis', () => ({ RedisStore: mockConnectRedis }));
-
-jest.mock('memorystore', () => jest.fn(() => mockMemoryStore));
-
-jest.mock('rate-limit-redis', () => ({
-  RedisStore: mockRedisStore,
-}));
-
-jest.mock('@librechat/data-schemas', () => ({
-  logger: {
-    error: jest.fn(),
-    warn: jest.fn(),
-    info: jest.fn(),
-  },
-}));
-
-// Import after mocking
-const { standardCache, sessionCache, violationCache, limiterCache } = require('./cacheFactory');
-const { cacheConfig } = require('./cacheConfig');
-
-describe('cacheFactory', () => {
-  beforeEach(() => {
-    jest.clearAllMocks();
-
-    // Reset cache config mock
-    cacheConfig.USE_REDIS = false;
-    cacheConfig.REDIS_KEY_PREFIX = 'test';
-    cacheConfig.FORCED_IN_MEMORY_CACHE_NAMESPACES = [];
-  });
-
-  describe('redisCache', () => {
-    it('should create Redis cache when USE_REDIS is true', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'test-namespace';
-      const ttl = 3600;
-
-      standardCache(namespace, ttl);
-
-      expect(require('@keyv/redis').default).toHaveBeenCalledWith(mockKeyvRedisClient);
-      expect(mockKeyv).toHaveBeenCalledWith(mockKeyvRedis, { namespace, ttl });
-      expect(mockKeyvRedis.namespace).toBe(cacheConfig.REDIS_KEY_PREFIX);
-      expect(mockKeyvRedis.keyPrefixSeparator).toBe('::');
-    });
-
-    it('should create Redis cache with undefined ttl when not provided', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'test-namespace';
-
-      standardCache(namespace);
-
-      expect(mockKeyv).toHaveBeenCalledWith(mockKeyvRedis, { namespace, ttl: undefined });
-    });
-
-    it('should use fallback store when USE_REDIS is false and fallbackStore is provided', () => {
-      cacheConfig.USE_REDIS = false;
-      const namespace = 'test-namespace';
-      const ttl = 3600;
-      const fallbackStore = { some: 'store' };
-
-      standardCache(namespace, ttl, fallbackStore);
-
-      expect(mockKeyv).toHaveBeenCalledWith({ store: fallbackStore, namespace, ttl });
-    });
-
-    it('should create default Keyv instance when USE_REDIS is false and no fallbackStore', () => {
-      cacheConfig.USE_REDIS = false;
-      const namespace = 'test-namespace';
-      const ttl = 3600;
-
-      standardCache(namespace, ttl);
-
-      expect(mockKeyv).toHaveBeenCalledWith({ namespace, ttl });
-    });
-
-    it('should handle namespace and ttl as undefined', () => {
-      cacheConfig.USE_REDIS = false;
-
-      standardCache();
-
-      expect(mockKeyv).toHaveBeenCalledWith({ namespace: undefined, ttl: undefined });
-    });
-
-    it('should use fallback when namespace is in FORCED_IN_MEMORY_CACHE_NAMESPACES', () => {
-      cacheConfig.USE_REDIS = true;
-      cacheConfig.FORCED_IN_MEMORY_CACHE_NAMESPACES = ['forced-memory'];
-      const namespace = 'forced-memory';
-      const ttl = 3600;
-
-      standardCache(namespace, ttl);
-
-      expect(require('@keyv/redis').default).not.toHaveBeenCalled();
-      expect(mockKeyv).toHaveBeenCalledWith({ namespace, ttl });
-    });
-
-    it('should use Redis when namespace is not in FORCED_IN_MEMORY_CACHE_NAMESPACES', () => {
-      cacheConfig.USE_REDIS = true;
-      cacheConfig.FORCED_IN_MEMORY_CACHE_NAMESPACES = ['other-namespace'];
-      const namespace = 'test-namespace';
-      const ttl = 3600;
-
-      standardCache(namespace, ttl);
-
-      expect(require('@keyv/redis').default).toHaveBeenCalledWith(mockKeyvRedisClient);
-      expect(mockKeyv).toHaveBeenCalledWith(mockKeyvRedis, { namespace, ttl });
-    });
-
-    it('should throw error when Redis cache creation fails', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'test-namespace';
-      const ttl = 3600;
-      const testError = new Error('Redis connection failed');
-
-      const KeyvRedis = require('@keyv/redis').default;
-      KeyvRedis.mockImplementationOnce(() => {
-        throw testError;
-      });
-
-      expect(() => standardCache(namespace, ttl)).toThrow('Redis connection failed');
-
-      const { logger } = require('@librechat/data-schemas');
-      expect(logger.error).toHaveBeenCalledWith(
-        `Failed to create Redis cache for namespace ${namespace}:`,
-        testError,
-      );
-
-      expect(mockKeyv).not.toHaveBeenCalled();
-    });
-  });
-
-  describe('violationCache', () => {
-    it('should create violation cache with prefixed namespace', () => {
-      const namespace = 'test-violations';
-      const ttl = 7200;
-
-      // We can't easily mock the internal redisCache call since it's in the same module
-      // But we can test that the function executes without throwing
-      expect(() => violationCache(namespace, ttl)).not.toThrow();
-    });
-
-    it('should create violation cache with undefined ttl', () => {
-      const namespace = 'test-violations';
-
-      violationCache(namespace);
-
-      // The function should call redisCache with violations: prefixed namespace
-      // Since we can't easily mock the internal redisCache call, we test the behavior
-      expect(() => violationCache(namespace)).not.toThrow();
-    });
-
-    it('should handle undefined namespace', () => {
-      expect(() => violationCache(undefined)).not.toThrow();
-    });
-  });
-
-  describe('sessionCache', () => {
-    it('should return MemoryStore when USE_REDIS is false', () => {
-      cacheConfig.USE_REDIS = false;
-      const namespace = 'sessions';
-      const ttl = 86400;
-
-      const result = sessionCache(namespace, ttl);
-
-      expect(mockMemoryStore).toHaveBeenCalledWith({ ttl, checkPeriod: Time.ONE_DAY });
-      expect(result).toBe(mockMemoryStore());
-    });
-
-    it('should return ConnectRedis when USE_REDIS is true', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'sessions';
-      const ttl = 86400;
-
-      const result = sessionCache(namespace, ttl);
-
-      expect(mockConnectRedis).toHaveBeenCalledWith({
-        client: mockIoredisClient,
-        ttl,
-        prefix: `${namespace}:`,
-      });
-      expect(result).toBe(mockConnectRedis());
-    });
-
-    it('should add colon to namespace if not present', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'sessions';
-
-      sessionCache(namespace);
-
-      expect(mockConnectRedis).toHaveBeenCalledWith({
-        client: mockIoredisClient,
-        ttl: undefined,
-        prefix: 'sessions:',
-      });
-    });
-
-    it('should not add colon to namespace if already present', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'sessions:';
-
-      sessionCache(namespace);
-
-      expect(mockConnectRedis).toHaveBeenCalledWith({
-        client: mockIoredisClient,
-        ttl: undefined,
-        prefix: 'sessions:',
-      });
-    });
-
-    it('should handle undefined ttl', () => {
-      cacheConfig.USE_REDIS = false;
-      const namespace = 'sessions';
-
-      sessionCache(namespace);
-
-      expect(mockMemoryStore).toHaveBeenCalledWith({
-        ttl: undefined,
-        checkPeriod: Time.ONE_DAY,
-      });
-    });
-
-    it('should throw error when ConnectRedis constructor fails', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'sessions';
-      const ttl = 86400;
-
-      // Mock ConnectRedis to throw an error during construction
-      const redisError = new Error('Redis connection failed');
-      mockConnectRedis.mockImplementationOnce(() => {
-        throw redisError;
-      });
-
-      // The error should propagate up, not be caught
-      expect(() => sessionCache(namespace, ttl)).toThrow('Redis connection failed');
-
-      // Verify that MemoryStore was NOT used as fallback
-      expect(mockMemoryStore).not.toHaveBeenCalled();
-    });
-
-    it('should register error handler but let errors propagate to Express', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'sessions';
-
-      // Create a mock session store with middleware methods
-      const mockSessionStore = {
-        get: jest.fn(),
-        set: jest.fn(),
-        destroy: jest.fn(),
-      };
-      mockConnectRedis.mockReturnValue(mockSessionStore);
-
-      const store = sessionCache(namespace);
-
-      // Verify error handler was registered
-      expect(mockIoredisClient.on).toHaveBeenCalledWith('error', expect.any(Function));
-
-      // Get the error handler
-      const errorHandler = mockIoredisClient.on.mock.calls.find((call) => call[0] === 'error')[1];
-
-      // Simulate an error from Redis during a session operation
-      const redisError = new Error('Socket closed unexpectedly');
-
-      // The error handler should log but not swallow the error
-      const { logger } = require('@librechat/data-schemas');
-      errorHandler(redisError);
-
-      expect(logger.error).toHaveBeenCalledWith(
-        `Session store Redis error for namespace ${namespace}::`,
-        redisError,
-      );
-
-      // Now simulate what happens when session middleware tries to use the store
-      const callback = jest.fn();
-      mockSessionStore.get.mockImplementation((sid, cb) => {
-        cb(new Error('Redis connection lost'));
-      });
-
-      // Call the store's get method (as Express session would)
-      store.get('test-session-id', callback);
-
-      // The error should be passed to the callback, not swallowed
-      expect(callback).toHaveBeenCalledWith(new Error('Redis connection lost'));
-    });
-
-    it('should handle null ioredisClient gracefully', () => {
-      cacheConfig.USE_REDIS = true;
-      const namespace = 'sessions';
-
-      // Temporarily set ioredisClient to null (simulating connection not established)
-      const originalClient = require('./redisClients').ioredisClient;
-      require('./redisClients').ioredisClient = null;
-
-      // ConnectRedis might accept null client but would fail on first use
-      // The important thing is it doesn't throw uncaught exceptions during construction
-      const store = sessionCache(namespace);
-      expect(store).toBeDefined();
-
-      // Restore original client
-      require('./redisClients').ioredisClient = originalClient;
-    });
-  });
-
-  describe('limiterCache', () => {
-    it('should return undefined when USE_REDIS is false', () => {
-      cacheConfig.USE_REDIS = false;
-      const result = limiterCache('prefix');
-
-      expect(result).toBeUndefined();
-    });
-
-    it('should return RedisStore when USE_REDIS is true', () => {
-      cacheConfig.USE_REDIS = true;
-      const result = limiterCache('rate-limit');
-
-      expect(mockRedisStore).toHaveBeenCalledWith({
-        sendCommand: expect.any(Function),
-        prefix: `rate-limit:`,
-      });
-      expect(result).toBe(mockRedisStore());
-    });
-
-    it('should add colon to prefix if not present', () => {
-      cacheConfig.USE_REDIS = true;
-      limiterCache('rate-limit');
-
-      expect(mockRedisStore).toHaveBeenCalledWith({
-        sendCommand: expect.any(Function),
-        prefix: 'rate-limit:',
-      });
-    });
-
-    it('should not add colon to prefix if already present', () => {
-      cacheConfig.USE_REDIS = true;
-      limiterCache('rate-limit:');
-
-      expect(mockRedisStore).toHaveBeenCalledWith({
-        sendCommand: expect.any(Function),
-        prefix: 'rate-limit:',
-      });
-    });
-
-    it('should pass sendCommand function that calls ioredisClient.call', async () => {
-      cacheConfig.USE_REDIS = true;
-      mockIoredisClient.call.mockResolvedValue('test-value');
-
-      limiterCache('rate-limit');
-
-      const sendCommandCall = mockRedisStore.mock.calls[0][0];
-      const sendCommand = sendCommandCall.sendCommand;
-
-      // Test that sendCommand properly delegates to ioredisClient.call
-      const args = ['GET', 'test-key'];
-      const result = await sendCommand(...args);
-
-      expect(mockIoredisClient.call).toHaveBeenCalledWith(...args);
-      expect(result).toBe('test-value');
-    });
-
-    it('should handle sendCommand errors properly', async () => {
-      cacheConfig.USE_REDIS = true;
-
-      // Mock the call method to reject with an error
-      const testError = new Error('Redis error');
-      mockIoredisClient.call.mockRejectedValue(testError);
-
-      limiterCache('rate-limit');
-
-      const sendCommandCall = mockRedisStore.mock.calls[0][0];
-      const sendCommand = sendCommandCall.sendCommand;
-
-      // Test that sendCommand properly handles errors
-      const args = ['GET', 'test-key'];
-
-      await expect(sendCommand(...args)).rejects.toThrow('Redis error');
-      expect(mockIoredisClient.call).toHaveBeenCalledWith(...args);
-    });
-
-    it('should handle undefined prefix', () => {
-      cacheConfig.USE_REDIS = true;
-      expect(() => limiterCache()).toThrow('prefix is required');
-    });
-  });
-});

api/cache/clearPendingReq.js

@@ -1,5 +1,5 @@
+const { isEnabled } = require('@librechat/api');
 const { Time, CacheKeys } = require('librechat-data-provider');
-const { isEnabled } = require('~/server/utils');
 const getLogStores = require('./getLogStores');
 
 const { USE_REDIS, LIMIT_CONCURRENT_MESSAGES } = process.env ?? {};

api/cache/getLogStores.js

@@ -1,9 +1,13 @@
-const { cacheConfig } = require('./cacheConfig');
 const { Keyv } = require('keyv');
-const { CacheKeys, ViolationTypes, Time } = require('librechat-data-provider');
-const { logFile } = require('./keyvFiles');
-const keyvMongo = require('./keyvMongo');
-const { standardCache, sessionCache, violationCache } = require('./cacheFactory');
+const { Time, CacheKeys, ViolationTypes } = require('librechat-data-provider');
+const {
+  logFile,
+  keyvMongo,
+  cacheConfig,
+  sessionCache,
+  standardCache,
+  violationCache,
+} = require('@librechat/api');
 
 const namespaces = {
   [ViolationTypes.GENERAL]: new Keyv({ store: logFile, namespace: 'violations' }),

api/cache/index.js

@@ -1,5 +1,4 @@
-const keyvFiles = require('./keyvFiles');
 const getLogStores = require('./getLogStores');
 const logViolation = require('./logViolation');
 
-module.exports = { ...keyvFiles, getLogStores, logViolation };
+module.exports = { getLogStores, logViolation };

api/cache/keyvFiles.js

@@ -1,9 +0,0 @@
-const { KeyvFile } = require('keyv-file');
-
-const logFile = new KeyvFile({ filename: './data/logs.json' }).setMaxListeners(20);
-const violationFile = new KeyvFile({ filename: './data/violations.json' }).setMaxListeners(20);
-
-module.exports = {
-  logFile,
-  violationFile,
-};

api/cache/logViolation.js

@@ -1,4 +1,4 @@
-const { isEnabled } = require('~/server/utils');
+const { isEnabled } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const getLogStores = require('./getLogStores');
 const banViolation = require('./banViolation');

api/db/indexSync.js

@@ -29,12 +29,64 @@ class MeiliSearchClient {
   }
 }
 
+/**
+ * Deletes documents from MeiliSearch index that are missing the user field
+ * @param {import('meilisearch').Index} index - MeiliSearch index instance
+ * @param {string} indexName - Name of the index for logging
+ * @returns {Promise<number>} - Number of documents deleted
+ */
+async function deleteDocumentsWithoutUserField(index, indexName) {
+  let deletedCount = 0;
+  let offset = 0;
+  const batchSize = 1000;
+
+  try {
+    while (true) {
+      const searchResult = await index.search('', {
+        limit: batchSize,
+        offset: offset,
+      });
+
+      if (searchResult.hits.length === 0) {
+        break;
+      }
+
+      const idsToDelete = searchResult.hits.filter((hit) => !hit.user).map((hit) => hit.id);
+
+      if (idsToDelete.length > 0) {
+        logger.info(
+          `[indexSync] Deleting ${idsToDelete.length} documents without user field from ${indexName} index`,
+        );
+        await index.deleteDocuments(idsToDelete);
+        deletedCount += idsToDelete.length;
+      }
+
+      if (searchResult.hits.length < batchSize) {
+        break;
+      }
+
+      offset += batchSize;
+    }
+
+    if (deletedCount > 0) {
+      logger.info(`[indexSync] Deleted ${deletedCount} orphaned documents from ${indexName} index`);
+    }
+  } catch (error) {
+    logger.error(`[indexSync] Error deleting documents from ${indexName}:`, error);
+  }
+
+  return deletedCount;
+}
+
 /**
  * Ensures indexes have proper filterable attributes configured and checks if documents have user field
  * @param {MeiliSearch} client - MeiliSearch client instance
- * @returns {Promise<boolean>} - true if configuration was updated or re-sync is needed
+ * @returns {Promise<{settingsUpdated: boolean, orphanedDocsFound: boolean}>} - Status of what was done
  */
 async function ensureFilterableAttributes(client) {
+  let settingsUpdated = false;
+  let hasOrphanedDocs = false;
+
   try {
     // Check and update messages index
     try {
@@ -47,16 +99,17 @@ async function ensureFilterableAttributes(client) {
           filterableAttributes: ['user'],
         });
         logger.info('[indexSync] Messages index configured for user filtering');
-        logger.info('[indexSync] Index configuration updated. Full re-sync will be triggered.');
-        return true;
+        settingsUpdated = true;
       }
 
       // Check if existing documents have user field indexed
       try {
         const searchResult = await messagesIndex.search('', { limit: 1 });
         if (searchResult.hits.length > 0 && !searchResult.hits[0].user) {
-          logger.info('[indexSync] Existing messages missing user field, re-sync needed');
-          return true;
+          logger.info(
+            '[indexSync] Existing messages missing user field, will clean up orphaned documents...',
+          );
+          hasOrphanedDocs = true;
         }
       } catch (searchError) {
         logger.debug('[indexSync] Could not check message documents:', searchError.message);
@@ -78,16 +131,17 @@ async function ensureFilterableAttributes(client) {
           filterableAttributes: ['user'],
         });
         logger.info('[indexSync] Convos index configured for user filtering');
-        logger.info('[indexSync] Index configuration updated. Full re-sync will be triggered.');
-        return true;
+        settingsUpdated = true;
       }
 
       // Check if existing documents have user field indexed
       try {
         const searchResult = await convosIndex.search('', { limit: 1 });
         if (searchResult.hits.length > 0 && !searchResult.hits[0].user) {
-          logger.info('[indexSync] Existing conversations missing user field, re-sync needed');
-          return true;
+          logger.info(
+            '[indexSync] Existing conversations missing user field, will clean up orphaned documents...',
+          );
+          hasOrphanedDocs = true;
         }
       } catch (searchError) {
         logger.debug('[indexSync] Could not check conversation documents:', searchError.message);
@@ -97,101 +151,143 @@ async function ensureFilterableAttributes(client) {
         logger.warn('[indexSync] Could not check/update convos index settings:', error.message);
       }
     }
+
+    // If either index has orphaned documents, clean them up (but don't force resync)
+    if (hasOrphanedDocs) {
+      try {
+        const messagesIndex = client.index('messages');
+        await deleteDocumentsWithoutUserField(messagesIndex, 'messages');
+      } catch (error) {
+        logger.debug('[indexSync] Could not clean up messages:', error.message);
+      }
+
+      try {
+        const convosIndex = client.index('convos');
+        await deleteDocumentsWithoutUserField(convosIndex, 'convos');
+      } catch (error) {
+        logger.debug('[indexSync] Could not clean up convos:', error.message);
+      }
+
+      logger.info('[indexSync] Orphaned documents cleaned up without forcing resync.');
+    }
+
+    if (settingsUpdated) {
+      logger.info('[indexSync] Index settings updated. Full re-sync will be triggered.');
+    }
   } catch (error) {
     logger.error('[indexSync] Error ensuring filterable attributes:', error);
   }
 
-  return false;
+  return { settingsUpdated, orphanedDocsFound: hasOrphanedDocs };
 }
 
 /**
  * Performs the actual sync operations for messages and conversations
+ * @param {FlowStateManager} flowManager - Flow state manager instance
+ * @param {string} flowId - Flow identifier
+ * @param {string} flowType - Flow type
  */
-async function performSync() {
-  const client = MeiliSearchClient.getInstance();
+async function performSync(flowManager, flowId, flowType) {
+  try {
+    const client = MeiliSearchClient.getInstance();
 
-  const { status } = await client.health();
-  if (status !== 'available') {
-    throw new Error('Meilisearch not available');
-  }
-
-  if (indexingDisabled === true) {
-    logger.info('[indexSync] Indexing is disabled, skipping...');
-    return { messagesSync: false, convosSync: false };
-  }
-
-  /** Ensures indexes have proper filterable attributes configured */
-  const configUpdated = await ensureFilterableAttributes(client);
-
-  let messagesSync = false;
-  let convosSync = false;
-
-  // If configuration was just updated or documents are missing user field, force a full re-sync
-  if (configUpdated) {
-    logger.info('[indexSync] Forcing full re-sync to ensure user field is properly indexed...');
-
-    // Reset sync flags to force full re-sync
-    await Message.collection.updateMany({ _meiliIndex: true }, { $set: { _meiliIndex: false } });
-    await Conversation.collection.updateMany(
-      { _meiliIndex: true },
-      { $set: { _meiliIndex: false } },
-    );
-  }
-
-  // Check if we need to sync messages
-  const messageProgress = await Message.getSyncProgress();
-  if (!messageProgress.isComplete || configUpdated) {
-    logger.info(
-      `[indexSync] Messages need syncing: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments} indexed`,
-    );
-
-    // Check if we should do a full sync or incremental
-    const messageCount = await Message.countDocuments();
-    const messagesIndexed = messageProgress.totalProcessed;
-    const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
-
-    if (messageCount - messagesIndexed > syncThreshold) {
-      logger.info('[indexSync] Starting full message sync due to large difference');
-      await Message.syncWithMeili();
-      messagesSync = true;
-    } else if (messageCount !== messagesIndexed) {
-      logger.warn('[indexSync] Messages out of sync, performing incremental sync');
-      await Message.syncWithMeili();
-      messagesSync = true;
+    const { status } = await client.health();
+    if (status !== 'available') {
+      throw new Error('Meilisearch not available');
     }
-  } else {
-    logger.info(
-      `[indexSync] Messages are fully synced: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments}`,
-    );
-  }
 
-  // Check if we need to sync conversations
-  const convoProgress = await Conversation.getSyncProgress();
-  if (!convoProgress.isComplete || configUpdated) {
-    logger.info(
-      `[indexSync] Conversations need syncing: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments} indexed`,
-    );
-
-    const convoCount = await Conversation.countDocuments();
-    const convosIndexed = convoProgress.totalProcessed;
-    const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
-
-    if (convoCount - convosIndexed > syncThreshold) {
-      logger.info('[indexSync] Starting full conversation sync due to large difference');
-      await Conversation.syncWithMeili();
-      convosSync = true;
-    } else if (convoCount !== convosIndexed) {
-      logger.warn('[indexSync] Convos out of sync, performing incremental sync');
-      await Conversation.syncWithMeili();
-      convosSync = true;
+    if (indexingDisabled === true) {
+      logger.info('[indexSync] Indexing is disabled, skipping...');
+      return { messagesSync: false, convosSync: false };
     }
-  } else {
-    logger.info(
-      `[indexSync] Conversations are fully synced: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments}`,
-    );
-  }
 
-  return { messagesSync, convosSync };
+    /** Ensures indexes have proper filterable attributes configured */
+    const { settingsUpdated, orphanedDocsFound: _orphanedDocsFound } =
+      await ensureFilterableAttributes(client);
+
+    let messagesSync = false;
+    let convosSync = false;
+
+    // Only reset flags if settings were actually updated (not just for orphaned doc cleanup)
+    if (settingsUpdated) {
+      logger.info(
+        '[indexSync] Settings updated. Forcing full re-sync to reindex with new configuration...',
+      );
+
+      // Reset sync flags to force full re-sync
+      await Message.collection.updateMany({ _meiliIndex: true }, { $set: { _meiliIndex: false } });
+      await Conversation.collection.updateMany(
+        { _meiliIndex: true },
+        { $set: { _meiliIndex: false } },
+      );
+    }
+
+    // Check if we need to sync messages
+    const messageProgress = await Message.getSyncProgress();
+    if (!messageProgress.isComplete || settingsUpdated) {
+      logger.info(
+        `[indexSync] Messages need syncing: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments} indexed`,
+      );
+
+      // Check if we should do a full sync or incremental
+      const messageCount = await Message.countDocuments();
+      const messagesIndexed = messageProgress.totalProcessed;
+      const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
+
+      if (messageCount - messagesIndexed > syncThreshold) {
+        logger.info('[indexSync] Starting full message sync due to large difference');
+        await Message.syncWithMeili();
+        messagesSync = true;
+      } else if (messageCount !== messagesIndexed) {
+        logger.warn('[indexSync] Messages out of sync, performing incremental sync');
+        await Message.syncWithMeili();
+        messagesSync = true;
+      }
+    } else {
+      logger.info(
+        `[indexSync] Messages are fully synced: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments}`,
+      );
+    }
+
+    // Check if we need to sync conversations
+    const convoProgress = await Conversation.getSyncProgress();
+    if (!convoProgress.isComplete || settingsUpdated) {
+      logger.info(
+        `[indexSync] Conversations need syncing: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments} indexed`,
+      );
+
+      const convoCount = await Conversation.countDocuments();
+      const convosIndexed = convoProgress.totalProcessed;
+      const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
+
+      if (convoCount - convosIndexed > syncThreshold) {
+        logger.info('[indexSync] Starting full conversation sync due to large difference');
+        await Conversation.syncWithMeili();
+        convosSync = true;
+      } else if (convoCount !== convosIndexed) {
+        logger.warn('[indexSync] Convos out of sync, performing incremental sync');
+        await Conversation.syncWithMeili();
+        convosSync = true;
+      }
+    } else {
+      logger.info(
+        `[indexSync] Conversations are fully synced: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments}`,
+      );
+    }
+
+    return { messagesSync, convosSync };
+  } finally {
+    if (indexingDisabled === true) {
+      logger.info('[indexSync] Indexing is disabled, skipping cleanup...');
+    } else if (flowManager && flowId && flowType) {
+      try {
+        await flowManager.deleteFlow(flowId, flowType);
+        logger.debug('[indexSync] Flow state cleaned up');
+      } catch (cleanupErr) {
+        logger.debug('[indexSync] Could not clean up flow state:', cleanupErr.message);
+      }
+    }
+  }
 }
 
 /**
@@ -204,24 +300,26 @@ async function indexSync() {
 
   logger.info('[indexSync] Starting index synchronization check...');
 
+  // Get or create FlowStateManager instance
+  const flowsCache = getLogStores(CacheKeys.FLOWS);
+  if (!flowsCache) {
+    logger.warn('[indexSync] Flows cache not available, falling back to direct sync');
+    return await performSync(null, null, null);
+  }
+
+  const flowManager = new FlowStateManager(flowsCache, {
+    ttl: 60000 * 10, // 10 minutes TTL for sync operations
+  });
+
+  // Use a unique flow ID for the sync operation
+  const flowId = 'meili-index-sync';
+  const flowType = 'MEILI_SYNC';
+
   try {
-    // Get or create FlowStateManager instance
-    const flowsCache = getLogStores(CacheKeys.FLOWS);
-    if (!flowsCache) {
-      logger.warn('[indexSync] Flows cache not available, falling back to direct sync');
-      return await performSync();
-    }
-
-    const flowManager = new FlowStateManager(flowsCache, {
-      ttl: 60000 * 10, // 10 minutes TTL for sync operations
-    });
-
-    // Use a unique flow ID for the sync operation
-    const flowId = 'meili-index-sync';
-    const flowType = 'MEILI_SYNC';
-
     // This will only execute the handler if no other instance is running the sync
-    const result = await flowManager.createFlowWithHandler(flowId, flowType, performSync);
+    const result = await flowManager.createFlowWithHandler(flowId, flowType, () =>
+      performSync(flowManager, flowId, flowType),
+    );
 
     if (result.messagesSync || result.convosSync) {
       logger.info('[indexSync] Sync completed successfully');

api/models/Categories.js

@@ -1,4 +1,4 @@
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 const options = [
   {

api/models/Conversation.js

@@ -28,7 +28,7 @@ const getConvo = async (user, conversationId) => {
     return await Conversation.findOne({ user, conversationId }).lean();
   } catch (error) {
     logger.error('[getConvo] Error getting single conversation', error);
-    return { message: 'Error getting single conversation' };
+    throw new Error('Error getting single conversation');
   }
 };
 
@@ -151,13 +151,21 @@ module.exports = {
       const result = await Conversation.bulkWrite(bulkOps);
       return result;
     } catch (error) {
-      logger.error('[saveBulkConversations] Error saving conversations in bulk', error);
+      logger.error('[bulkSaveConvos] Error saving conversations in bulk', error);
       throw new Error('Failed to save conversations in bulk.');
     }
   },
   getConvosByCursor: async (
     user,
-    { cursor, limit = 25, isArchived = false, tags, search, order = 'desc' } = {},
+    {
+      cursor,
+      limit = 25,
+      isArchived = false,
+      tags,
+      search,
+      sortBy = 'createdAt',
+      sortDirection = 'desc',
+    } = {},
   ) => {
     const filters = [{ user }];
     if (isArchived) {
@@ -184,35 +192,77 @@ module.exports = {
         filters.push({ conversationId: { $in: matchingIds } });
       } catch (error) {
         logger.error('[getConvosByCursor] Error during meiliSearch', error);
-        return { message: 'Error during meiliSearch' };
+        throw new Error('Error during meiliSearch');
       }
     }
 
+    const validSortFields = ['title', 'createdAt', 'updatedAt'];
+    if (!validSortFields.includes(sortBy)) {
+      throw new Error(
+        `Invalid sortBy field: ${sortBy}. Must be one of ${validSortFields.join(', ')}`,
+      );
+    }
+    const finalSortBy = sortBy;
+    const finalSortDirection = sortDirection === 'asc' ? 'asc' : 'desc';
+
+    let cursorFilter = null;
     if (cursor) {
-      filters.push({ updatedAt: { $lt: new Date(cursor) } });
+      try {
+        const decoded = JSON.parse(Buffer.from(cursor, 'base64').toString());
+        const { primary, secondary } = decoded;
+        const primaryValue = finalSortBy === 'title' ? primary : new Date(primary);
+        const secondaryValue = new Date(secondary);
+        const op = finalSortDirection === 'asc' ? '$gt' : '$lt';
+
+        cursorFilter = {
+          $or: [
+            { [finalSortBy]: { [op]: primaryValue } },
+            {
+              [finalSortBy]: primaryValue,
+              updatedAt: { [op]: secondaryValue },
+            },
+          ],
+        };
+      } catch (err) {
+        logger.warn('[getConvosByCursor] Invalid cursor format, starting from beginning');
+      }
+      if (cursorFilter) {
+        filters.push(cursorFilter);
+      }
     }
 
     const query = filters.length === 1 ? filters[0] : { $and: filters };
 
     try {
+      const sortOrder = finalSortDirection === 'asc' ? 1 : -1;
+      const sortObj = { [finalSortBy]: sortOrder };
+
+      if (finalSortBy !== 'updatedAt') {
+        sortObj.updatedAt = sortOrder;
+      }
+
       const convos = await Conversation.find(query)
         .select(
           'conversationId endpoint title createdAt updatedAt user model agent_id assistant_id spec iconURL',
         )
-        .sort({ updatedAt: order === 'asc' ? 1 : -1 })
+        .sort(sortObj)
         .limit(limit + 1)
         .lean();
 
       let nextCursor = null;
       if (convos.length > limit) {
         const lastConvo = convos.pop();
-        nextCursor = lastConvo.updatedAt.toISOString();
+        const primaryValue = lastConvo[finalSortBy];
+        const primaryStr = finalSortBy === 'title' ? primaryValue : primaryValue.toISOString();
+        const secondaryStr = lastConvo.updatedAt.toISOString();
+        const composite = { primary: primaryStr, secondary: secondaryStr };
+        nextCursor = Buffer.from(JSON.stringify(composite)).toString('base64');
       }
 
       return { conversations: convos, nextCursor };
     } catch (error) {
       logger.error('[getConvosByCursor] Error getting conversations', error);
-      return { message: 'Error getting conversations' };
+      throw new Error('Error getting conversations');
     }
   },
   getConvosQueried: async (user, convoIds, cursor = null, limit = 25) => {
@@ -252,7 +302,7 @@ module.exports = {
       return { conversations: limited, nextCursor, convoMap };
     } catch (error) {
       logger.error('[getConvosQueried] Error getting conversations', error);
-      return { message: 'Error fetching conversations' };
+      throw new Error('Error fetching conversations');
     }
   },
   getConvo,
@@ -269,7 +319,7 @@ module.exports = {
       }
     } catch (error) {
       logger.error('[getConvoTitle] Error getting conversation title', error);
-      return { message: 'Error getting conversation title' };
+      throw new Error('Error getting conversation title');
     }
   },
   /**

api/models/spendTokens.js

@@ -1,4 +1,4 @@
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 const { createTransaction, createStructuredTransaction } = require('./Transaction');
 /**
  * Creates up to two transactions to record the spending of tokens.

api/models/tx.js

@@ -1,4 +1,4 @@
-const { matchModelName } = require('@librechat/api');
+const { matchModelName, findMatchingPattern } = require('@librechat/api');
 const defaultRate = 6;
 
 /**
@@ -6,44 +6,58 @@ const defaultRate = 6;
  * source: https://aws.amazon.com/bedrock/pricing/
  * */
 const bedrockValues = {
-  // Basic llama2 patterns
+  // Basic llama2 patterns (base defaults to smallest variant)
+  llama2: { prompt: 0.75, completion: 1.0 },
+  'llama-2': { prompt: 0.75, completion: 1.0 },
   'llama2-13b': { prompt: 0.75, completion: 1.0 },
-  'llama2:13b': { prompt: 0.75, completion: 1.0 },
   'llama2:70b': { prompt: 1.95, completion: 2.56 },
   'llama2-70b': { prompt: 1.95, completion: 2.56 },
 
-  // Basic llama3 patterns
+  // Basic llama3 patterns (base defaults to smallest variant)
+  llama3: { prompt: 0.3, completion: 0.6 },
+  'llama-3': { prompt: 0.3, completion: 0.6 },
   'llama3-8b': { prompt: 0.3, completion: 0.6 },
   'llama3:8b': { prompt: 0.3, completion: 0.6 },
   'llama3-70b': { prompt: 2.65, completion: 3.5 },
   'llama3:70b': { prompt: 2.65, completion: 3.5 },
 
-  // llama3-x-Nb pattern
+  // llama3-x-Nb pattern (base defaults to smallest variant)
+  'llama3-1': { prompt: 0.22, completion: 0.22 },
   'llama3-1-8b': { prompt: 0.22, completion: 0.22 },
   'llama3-1-70b': { prompt: 0.72, completion: 0.72 },
   'llama3-1-405b': { prompt: 2.4, completion: 2.4 },
+  'llama3-2': { prompt: 0.1, completion: 0.1 },
   'llama3-2-1b': { prompt: 0.1, completion: 0.1 },
   'llama3-2-3b': { prompt: 0.15, completion: 0.15 },
   'llama3-2-11b': { prompt: 0.16, completion: 0.16 },
   'llama3-2-90b': { prompt: 0.72, completion: 0.72 },
+  'llama3-3': { prompt: 2.65, completion: 3.5 },
+  'llama3-3-70b': { prompt: 2.65, completion: 3.5 },
 
-  // llama3.x:Nb pattern
+  // llama3.x:Nb pattern (base defaults to smallest variant)
+  'llama3.1': { prompt: 0.22, completion: 0.22 },
   'llama3.1:8b': { prompt: 0.22, completion: 0.22 },
   'llama3.1:70b': { prompt: 0.72, completion: 0.72 },
   'llama3.1:405b': { prompt: 2.4, completion: 2.4 },
+  'llama3.2': { prompt: 0.1, completion: 0.1 },
   'llama3.2:1b': { prompt: 0.1, completion: 0.1 },
   'llama3.2:3b': { prompt: 0.15, completion: 0.15 },
   'llama3.2:11b': { prompt: 0.16, completion: 0.16 },
   'llama3.2:90b': { prompt: 0.72, completion: 0.72 },
+  'llama3.3': { prompt: 2.65, completion: 3.5 },
+  'llama3.3:70b': { prompt: 2.65, completion: 3.5 },
 
-  // llama-3.x-Nb pattern
+  // llama-3.x-Nb pattern (base defaults to smallest variant)
+  'llama-3.1': { prompt: 0.22, completion: 0.22 },
   'llama-3.1-8b': { prompt: 0.22, completion: 0.22 },
   'llama-3.1-70b': { prompt: 0.72, completion: 0.72 },
   'llama-3.1-405b': { prompt: 2.4, completion: 2.4 },
+  'llama-3.2': { prompt: 0.1, completion: 0.1 },
   'llama-3.2-1b': { prompt: 0.1, completion: 0.1 },
   'llama-3.2-3b': { prompt: 0.15, completion: 0.15 },
   'llama-3.2-11b': { prompt: 0.16, completion: 0.16 },
   'llama-3.2-90b': { prompt: 0.72, completion: 0.72 },
+  'llama-3.3': { prompt: 2.65, completion: 3.5 },
   'llama-3.3-70b': { prompt: 2.65, completion: 3.5 },
   'mistral-7b': { prompt: 0.15, completion: 0.2 },
   'mistral-small': { prompt: 0.15, completion: 0.2 },
@@ -52,15 +66,19 @@ const bedrockValues = {
   'mistral-large-2407': { prompt: 3.0, completion: 9.0 },
   'command-text': { prompt: 1.5, completion: 2.0 },
   'command-light': { prompt: 0.3, completion: 0.6 },
-  'ai21.j2-mid-v1': { prompt: 12.5, completion: 12.5 },
-  'ai21.j2-ultra-v1': { prompt: 18.8, completion: 18.8 },
-  'ai21.jamba-instruct-v1:0': { prompt: 0.5, completion: 0.7 },
-  'amazon.titan-text-lite-v1': { prompt: 0.15, completion: 0.2 },
-  'amazon.titan-text-express-v1': { prompt: 0.2, completion: 0.6 },
-  'amazon.titan-text-premier-v1:0': { prompt: 0.5, completion: 1.5 },
-  'amazon.nova-micro-v1:0': { prompt: 0.035, completion: 0.14 },
-  'amazon.nova-lite-v1:0': { prompt: 0.06, completion: 0.24 },
-  'amazon.nova-pro-v1:0': { prompt: 0.8, completion: 3.2 },
+  // AI21 models
+  'j2-mid': { prompt: 12.5, completion: 12.5 },
+  'j2-ultra': { prompt: 18.8, completion: 18.8 },
+  'jamba-instruct': { prompt: 0.5, completion: 0.7 },
+  // Amazon Titan models
+  'titan-text-lite': { prompt: 0.15, completion: 0.2 },
+  'titan-text-express': { prompt: 0.2, completion: 0.6 },
+  'titan-text-premier': { prompt: 0.5, completion: 1.5 },
+  // Amazon Nova models
+  'nova-micro': { prompt: 0.035, completion: 0.14 },
+  'nova-lite': { prompt: 0.06, completion: 0.24 },
+  'nova-pro': { prompt: 0.8, completion: 3.2 },
+  'nova-premier': { prompt: 2.5, completion: 12.5 },
   'deepseek.r1': { prompt: 1.35, completion: 5.4 },
 };
 
@@ -71,89 +89,136 @@ const bedrockValues = {
  */
 const tokenValues = Object.assign(
   {
+    // Legacy token size mappings (generic patterns - check LAST)
     '8k': { prompt: 30, completion: 60 },
     '32k': { prompt: 60, completion: 120 },
     '4k': { prompt: 1.5, completion: 2 },
     '16k': { prompt: 3, completion: 4 },
+    // Generic fallback patterns (check LAST)
+    'claude-': { prompt: 0.8, completion: 2.4 },
+    deepseek: { prompt: 0.28, completion: 0.42 },
+    command: { prompt: 0.38, completion: 0.38 },
+    gemma: { prompt: 0.02, completion: 0.04 }, // Base pattern (using gemma-3n-e4b pricing)
+    gemini: { prompt: 0.5, completion: 1.5 },
+    'gpt-oss': { prompt: 0.05, completion: 0.2 },
+    // Specific model variants (check FIRST - more specific patterns at end)
     'gpt-3.5-turbo-1106': { prompt: 1, completion: 2 },
-    'o4-mini': { prompt: 1.1, completion: 4.4 },
-    'o3-mini': { prompt: 1.1, completion: 4.4 },
-    o3: { prompt: 2, completion: 8 },
-    'o1-mini': { prompt: 1.1, completion: 4.4 },
-    'o1-preview': { prompt: 15, completion: 60 },
-    o1: { prompt: 15, completion: 60 },
+    'gpt-3.5-turbo-0125': { prompt: 0.5, completion: 1.5 },
+    'gpt-4-1106': { prompt: 10, completion: 30 },
+    'gpt-4.1': { prompt: 2, completion: 8 },
     'gpt-4.1-nano': { prompt: 0.1, completion: 0.4 },
     'gpt-4.1-mini': { prompt: 0.4, completion: 1.6 },
-    'gpt-4.1': { prompt: 2, completion: 8 },
     'gpt-4.5': { prompt: 75, completion: 150 },
-    'gpt-4o-mini': { prompt: 0.15, completion: 0.6 },
-    'gpt-5': { prompt: 1.25, completion: 10 },
-    'gpt-5-mini': { prompt: 0.25, completion: 2 },
-    'gpt-5-nano': { prompt: 0.05, completion: 0.4 },
     'gpt-4o': { prompt: 2.5, completion: 10 },
     'gpt-4o-2024-05-13': { prompt: 5, completion: 15 },
-    'gpt-4-1106': { prompt: 10, completion: 30 },
-    'gpt-3.5-turbo-0125': { prompt: 0.5, completion: 1.5 },
-    'claude-3-opus': { prompt: 15, completion: 75 },
+    'gpt-4o-mini': { prompt: 0.15, completion: 0.6 },
+    'gpt-5': { prompt: 1.25, completion: 10 },
+    'gpt-5-nano': { prompt: 0.05, completion: 0.4 },
+    'gpt-5-mini': { prompt: 0.25, completion: 2 },
+    'gpt-5-pro': { prompt: 15, completion: 120 },
+    o1: { prompt: 15, completion: 60 },
+    'o1-mini': { prompt: 1.1, completion: 4.4 },
+    'o1-preview': { prompt: 15, completion: 60 },
+    o3: { prompt: 2, completion: 8 },
+    'o3-mini': { prompt: 1.1, completion: 4.4 },
+    'o4-mini': { prompt: 1.1, completion: 4.4 },
+    'claude-instant': { prompt: 0.8, completion: 2.4 },
+    'claude-2': { prompt: 8, completion: 24 },
+    'claude-2.1': { prompt: 8, completion: 24 },
+    'claude-3-haiku': { prompt: 0.25, completion: 1.25 },
     'claude-3-sonnet': { prompt: 3, completion: 15 },
+    'claude-3-opus': { prompt: 15, completion: 75 },
+    'claude-3-5-haiku': { prompt: 0.8, completion: 4 },
+    'claude-3.5-haiku': { prompt: 0.8, completion: 4 },
     'claude-3-5-sonnet': { prompt: 3, completion: 15 },
     'claude-3.5-sonnet': { prompt: 3, completion: 15 },
     'claude-3-7-sonnet': { prompt: 3, completion: 15 },
     'claude-3.7-sonnet': { prompt: 3, completion: 15 },
-    'claude-3-5-haiku': { prompt: 0.8, completion: 4 },
-    'claude-3.5-haiku': { prompt: 0.8, completion: 4 },
-    'claude-3-haiku': { prompt: 0.25, completion: 1.25 },
-    'claude-sonnet-4': { prompt: 3, completion: 15 },
+    'claude-haiku-4-5': { prompt: 1, completion: 5 },
     'claude-opus-4': { prompt: 15, completion: 75 },
-    'claude-2.1': { prompt: 8, completion: 24 },
-    'claude-2': { prompt: 8, completion: 24 },
-    'claude-instant': { prompt: 0.8, completion: 2.4 },
-    'claude-': { prompt: 0.8, completion: 2.4 },
-    'command-r-plus': { prompt: 3, completion: 15 },
+    'claude-sonnet-4': { prompt: 3, completion: 15 },
     'command-r': { prompt: 0.5, completion: 1.5 },
+    'command-r-plus': { prompt: 3, completion: 15 },
+    'command-text': { prompt: 1.5, completion: 2.0 },
     'deepseek-reasoner': { prompt: 0.28, completion: 0.42 },
-    deepseek: { prompt: 0.28, completion: 0.42 },
-    /* cohere doesn't have rates for the older command models,
-  so this was from https://artificialanalysis.ai/models/command-light/providers */
-    command: { prompt: 0.38, completion: 0.38 },
-    gemma: { prompt: 0, completion: 0 }, // https://ai.google.dev/pricing
-    'gemma-2': { prompt: 0, completion: 0 }, // https://ai.google.dev/pricing
-    'gemma-3': { prompt: 0, completion: 0 }, // https://ai.google.dev/pricing
-    'gemma-3-27b': { prompt: 0, completion: 0 }, // https://ai.google.dev/pricing
-    'gemini-2.0-flash-lite': { prompt: 0.075, completion: 0.3 },
-    'gemini-2.0-flash': { prompt: 0.1, completion: 0.4 },
-    'gemini-2.0': { prompt: 0, completion: 0 }, // https://ai.google.dev/pricing
-    'gemini-2.5-pro': { prompt: 1.25, completion: 10 },
-    'gemini-2.5-flash': { prompt: 0.3, completion: 2.5 },
-    'gemini-2.5-flash-lite': { prompt: 0.075, completion: 0.4 },
-    'gemini-2.5': { prompt: 0, completion: 0 }, // Free for a period of time
-    'gemini-1.5-flash-8b': { prompt: 0.075, completion: 0.3 },
-    'gemini-1.5-flash': { prompt: 0.15, completion: 0.6 },
+    'deepseek-r1': { prompt: 0.4, completion: 2.0 },
+    'deepseek-v3': { prompt: 0.2, completion: 0.8 },
+    'gemma-2': { prompt: 0.01, completion: 0.03 }, // Base pattern (using gemma-2-9b pricing)
+    'gemma-3': { prompt: 0.02, completion: 0.04 }, // Base pattern (using gemma-3n-e4b pricing)
+    'gemma-3-27b': { prompt: 0.09, completion: 0.16 },
     'gemini-1.5': { prompt: 2.5, completion: 10 },
+    'gemini-1.5-flash': { prompt: 0.15, completion: 0.6 },
+    'gemini-1.5-flash-8b': { prompt: 0.075, completion: 0.3 },
+    'gemini-2.0': { prompt: 0.1, completion: 0.4 }, // Base pattern (using 2.0-flash pricing)
+    'gemini-2.0-flash': { prompt: 0.1, completion: 0.4 },
+    'gemini-2.0-flash-lite': { prompt: 0.075, completion: 0.3 },
+    'gemini-2.5': { prompt: 0.3, completion: 2.5 }, // Base pattern (using 2.5-flash pricing)
+    'gemini-2.5-flash': { prompt: 0.3, completion: 2.5 },
+    'gemini-2.5-flash-lite': { prompt: 0.1, completion: 0.4 },
+    'gemini-2.5-pro': { prompt: 1.25, completion: 10 },
     'gemini-pro-vision': { prompt: 0.5, completion: 1.5 },
-    gemini: { prompt: 0.5, completion: 1.5 },
-    'grok-2-vision-1212': { prompt: 2.0, completion: 10.0 },
-    'grok-2-vision-latest': { prompt: 2.0, completion: 10.0 },
-    'grok-2-vision': { prompt: 2.0, completion: 10.0 },
+    grok: { prompt: 2.0, completion: 10.0 }, // Base pattern defaults to grok-2
+    'grok-beta': { prompt: 5.0, completion: 15.0 },
     'grok-vision-beta': { prompt: 5.0, completion: 15.0 },
+    'grok-2': { prompt: 2.0, completion: 10.0 },
     'grok-2-1212': { prompt: 2.0, completion: 10.0 },
     'grok-2-latest': { prompt: 2.0, completion: 10.0 },
-    'grok-2': { prompt: 2.0, completion: 10.0 },
-    'grok-3-mini-fast': { prompt: 0.6, completion: 4 },
-    'grok-3-mini': { prompt: 0.3, completion: 0.5 },
-    'grok-3-fast': { prompt: 5.0, completion: 25.0 },
+    'grok-2-vision': { prompt: 2.0, completion: 10.0 },
+    'grok-2-vision-1212': { prompt: 2.0, completion: 10.0 },
+    'grok-2-vision-latest': { prompt: 2.0, completion: 10.0 },
     'grok-3': { prompt: 3.0, completion: 15.0 },
+    'grok-3-fast': { prompt: 5.0, completion: 25.0 },
+    'grok-3-mini': { prompt: 0.3, completion: 0.5 },
+    'grok-3-mini-fast': { prompt: 0.6, completion: 4 },
     'grok-4': { prompt: 3.0, completion: 15.0 },
-    'grok-beta': { prompt: 5.0, completion: 15.0 },
-    'mistral-large': { prompt: 2.0, completion: 6.0 },
-    'pixtral-large': { prompt: 2.0, completion: 6.0 },
-    'mistral-saba': { prompt: 0.2, completion: 0.6 },
     codestral: { prompt: 0.3, completion: 0.9 },
-    'ministral-8b': { prompt: 0.1, completion: 0.1 },
     'ministral-3b': { prompt: 0.04, completion: 0.04 },
-    // GPT-OSS models
+    'ministral-8b': { prompt: 0.1, completion: 0.1 },
+    'mistral-nemo': { prompt: 0.15, completion: 0.15 },
+    'mistral-saba': { prompt: 0.2, completion: 0.6 },
+    'pixtral-large': { prompt: 2.0, completion: 6.0 },
+    'mistral-large': { prompt: 2.0, completion: 6.0 },
+    'mixtral-8x22b': { prompt: 0.65, completion: 0.65 },
+    kimi: { prompt: 0.14, completion: 2.49 }, // Base pattern (using kimi-k2 pricing)
+    // GPT-OSS models (specific sizes)
+    'gpt-oss:20b': { prompt: 0.05, completion: 0.2 },
     'gpt-oss-20b': { prompt: 0.05, completion: 0.2 },
+    'gpt-oss:120b': { prompt: 0.15, completion: 0.6 },
     'gpt-oss-120b': { prompt: 0.15, completion: 0.6 },
+    // GLM models (Zhipu AI) - general to specific
+    glm4: { prompt: 0.1, completion: 0.1 },
+    'glm-4': { prompt: 0.1, completion: 0.1 },
+    'glm-4-32b': { prompt: 0.1, completion: 0.1 },
+    'glm-4.5': { prompt: 0.35, completion: 1.55 },
+    'glm-4.5-air': { prompt: 0.14, completion: 0.86 },
+    'glm-4.5v': { prompt: 0.6, completion: 1.8 },
+    'glm-4.6': { prompt: 0.5, completion: 1.75 },
+    // Qwen models
+    qwen: { prompt: 0.08, completion: 0.33 }, // Qwen base pattern (using qwen2.5-72b pricing)
+    'qwen2.5': { prompt: 0.08, completion: 0.33 }, // Qwen 2.5 base pattern
+    'qwen-turbo': { prompt: 0.05, completion: 0.2 },
+    'qwen-plus': { prompt: 0.4, completion: 1.2 },
+    'qwen-max': { prompt: 1.6, completion: 6.4 },
+    'qwq-32b': { prompt: 0.15, completion: 0.4 },
+    // Qwen3 models
+    qwen3: { prompt: 0.035, completion: 0.138 }, // Qwen3 base pattern (using qwen3-4b pricing)
+    'qwen3-8b': { prompt: 0.035, completion: 0.138 },
+    'qwen3-14b': { prompt: 0.05, completion: 0.22 },
+    'qwen3-30b-a3b': { prompt: 0.06, completion: 0.22 },
+    'qwen3-32b': { prompt: 0.05, completion: 0.2 },
+    'qwen3-235b-a22b': { prompt: 0.08, completion: 0.55 },
+    // Qwen3 VL (Vision-Language) models
+    'qwen3-vl-8b-thinking': { prompt: 0.18, completion: 2.1 },
+    'qwen3-vl-8b-instruct': { prompt: 0.18, completion: 0.69 },
+    'qwen3-vl-30b-a3b': { prompt: 0.29, completion: 1.0 },
+    'qwen3-vl-235b-a22b': { prompt: 0.3, completion: 1.2 },
+    // Qwen3 specialized models
+    'qwen3-max': { prompt: 1.2, completion: 6 },
+    'qwen3-coder': { prompt: 0.22, completion: 0.95 },
+    'qwen3-coder-30b-a3b': { prompt: 0.06, completion: 0.25 },
+    'qwen3-coder-plus': { prompt: 1, completion: 5 },
+    'qwen3-coder-flash': { prompt: 0.3, completion: 1.5 },
+    'qwen3-next-80b-a3b': { prompt: 0.1, completion: 0.8 },
   },
   bedrockValues,
 );
@@ -184,67 +249,39 @@ const cacheTokenValues = {
  * @returns {string|undefined} The key corresponding to the model name, or undefined if no match is found.
  */
 const getValueKey = (model, endpoint) => {
+  if (!model || typeof model !== 'string') {
+    return undefined;
+  }
+
+  // Use findMatchingPattern directly against tokenValues for efficient lookup
+  if (!endpoint || (typeof endpoint === 'string' && !tokenValues[endpoint])) {
+    const matchedKey = findMatchingPattern(model, tokenValues);
+    if (matchedKey) {
+      return matchedKey;
+    }
+  }
+
+  // Fallback: use matchModelName for edge cases and legacy handling
   const modelName = matchModelName(model, endpoint);
   if (!modelName) {
     return undefined;
   }
 
+  // Legacy token size mappings and aliases for older models
   if (modelName.includes('gpt-3.5-turbo-16k')) {
     return '16k';
-  } else if (modelName.includes('gpt-3.5-turbo-0125')) {
-    return 'gpt-3.5-turbo-0125';
-  } else if (modelName.includes('gpt-3.5-turbo-1106')) {
-    return 'gpt-3.5-turbo-1106';
   } else if (modelName.includes('gpt-3.5')) {
     return '4k';
-  } else if (modelName.includes('o4-mini')) {
-    return 'o4-mini';
-  } else if (modelName.includes('o4')) {
-    return 'o4';
-  } else if (modelName.includes('o3-mini')) {
-    return 'o3-mini';
-  } else if (modelName.includes('o3')) {
-    return 'o3';
-  } else if (modelName.includes('o1-preview')) {
-    return 'o1-preview';
-  } else if (modelName.includes('o1-mini')) {
-    return 'o1-mini';
-  } else if (modelName.includes('o1')) {
-    return 'o1';
-  } else if (modelName.includes('gpt-4.5')) {
-    return 'gpt-4.5';
-  } else if (modelName.includes('gpt-4.1-nano')) {
-    return 'gpt-4.1-nano';
-  } else if (modelName.includes('gpt-4.1-mini')) {
-    return 'gpt-4.1-mini';
-  } else if (modelName.includes('gpt-4.1')) {
-    return 'gpt-4.1';
-  } else if (modelName.includes('gpt-4o-2024-05-13')) {
-    return 'gpt-4o-2024-05-13';
-  } else if (modelName.includes('gpt-5-nano')) {
-    return 'gpt-5-nano';
-  } else if (modelName.includes('gpt-5-mini')) {
-    return 'gpt-5-mini';
-  } else if (modelName.includes('gpt-5')) {
-    return 'gpt-5';
-  } else if (modelName.includes('gpt-4o-mini')) {
-    return 'gpt-4o-mini';
-  } else if (modelName.includes('gpt-4o')) {
-    return 'gpt-4o';
   } else if (modelName.includes('gpt-4-vision')) {
-    return 'gpt-4-1106';
-  } else if (modelName.includes('gpt-4-1106')) {
-    return 'gpt-4-1106';
+    return 'gpt-4-1106'; // Alias for gpt-4-vision
   } else if (modelName.includes('gpt-4-0125')) {
-    return 'gpt-4-1106';
+    return 'gpt-4-1106'; // Alias for gpt-4-0125
   } else if (modelName.includes('gpt-4-turbo')) {
-    return 'gpt-4-1106';
+    return 'gpt-4-1106'; // Alias for gpt-4-turbo
   } else if (modelName.includes('gpt-4-32k')) {
     return '32k';
   } else if (modelName.includes('gpt-4')) {
     return '8k';
-  } else if (tokenValues[modelName]) {
-    return modelName;
   }
 
   return undefined;

api/models/tx.spec.js

@@ -1,3 +1,4 @@
+const { maxTokensMap } = require('@librechat/api');
 const { EModelEndpoint } = require('librechat-data-provider');
 const {
   defaultRate,
@@ -113,6 +114,14 @@ describe('getValueKey', () => {
     expect(getValueKey('gpt-5-nano-2025-01-30-0130')).toBe('gpt-5-nano');
   });
 
+  it('should return "gpt-5-pro" for model type of "gpt-5-pro"', () => {
+    expect(getValueKey('gpt-5-pro-2025-01-30')).toBe('gpt-5-pro');
+    expect(getValueKey('openai/gpt-5-pro')).toBe('gpt-5-pro');
+    expect(getValueKey('gpt-5-pro-0130')).toBe('gpt-5-pro');
+    expect(getValueKey('gpt-5-pro-2025-01-30-0130')).toBe('gpt-5-pro');
+    expect(getValueKey('gpt-5-pro-preview')).toBe('gpt-5-pro');
+  });
+
   it('should return "gpt-4o" for model type of "gpt-4o"', () => {
     expect(getValueKey('gpt-4o-2024-08-06')).toBe('gpt-4o');
     expect(getValueKey('gpt-4o-2024-08-06-0718')).toBe('gpt-4o');
@@ -184,6 +193,16 @@ describe('getValueKey', () => {
     expect(getValueKey('claude-3.5-haiku-turbo')).toBe('claude-3.5-haiku');
     expect(getValueKey('claude-3.5-haiku-0125')).toBe('claude-3.5-haiku');
   });
+
+  it('should return expected value keys for "gpt-oss" models', () => {
+    expect(getValueKey('openai/gpt-oss-120b')).toBe('gpt-oss-120b');
+    expect(getValueKey('openai/gpt-oss:120b')).toBe('gpt-oss:120b');
+    expect(getValueKey('openai/gpt-oss-570b')).toBe('gpt-oss');
+    expect(getValueKey('gpt-oss-570b')).toBe('gpt-oss');
+    expect(getValueKey('groq/gpt-oss-1080b')).toBe('gpt-oss');
+    expect(getValueKey('gpt-oss-20b')).toBe('gpt-oss-20b');
+    expect(getValueKey('oai/gpt-oss:20b')).toBe('gpt-oss:20b');
+  });
 });
 
 describe('getMultiplier', () => {
@@ -278,6 +297,20 @@ describe('getMultiplier', () => {
     );
   });
 
+  it('should return the correct multiplier for gpt-5-pro', () => {
+    const valueKey = getValueKey('gpt-5-pro-2025-01-30');
+    expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-5-pro'].prompt);
+    expect(getMultiplier({ valueKey, tokenType: 'completion' })).toBe(
+      tokenValues['gpt-5-pro'].completion,
+    );
+    expect(getMultiplier({ model: 'gpt-5-pro-preview', tokenType: 'prompt' })).toBe(
+      tokenValues['gpt-5-pro'].prompt,
+    );
+    expect(getMultiplier({ model: 'openai/gpt-5-pro', tokenType: 'completion' })).toBe(
+      tokenValues['gpt-5-pro'].completion,
+    );
+  });
+
   it('should return the correct multiplier for gpt-4o', () => {
     const valueKey = getValueKey('gpt-4o-2024-08-06');
     expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-4o'].prompt);
@@ -394,6 +427,18 @@ describe('getMultiplier', () => {
       expect(getMultiplier({ model: key, tokenType: 'completion' })).toBe(expectedCompletion);
     });
   });
+
+  it('should return correct multipliers for GLM models', () => {
+    const models = ['glm-4.6', 'glm-4.5v', 'glm-4.5-air', 'glm-4.5', 'glm-4-32b', 'glm-4', 'glm4'];
+    models.forEach((key) => {
+      const expectedPrompt = tokenValues[key].prompt;
+      const expectedCompletion = tokenValues[key].completion;
+      expect(getMultiplier({ valueKey: key, tokenType: 'prompt' })).toBe(expectedPrompt);
+      expect(getMultiplier({ valueKey: key, tokenType: 'completion' })).toBe(expectedCompletion);
+      expect(getMultiplier({ model: key, tokenType: 'prompt' })).toBe(expectedPrompt);
+      expect(getMultiplier({ model: key, tokenType: 'completion' })).toBe(expectedCompletion);
+    });
+  });
 });
 
 describe('AWS Bedrock Model Tests', () => {
@@ -449,6 +494,249 @@ describe('AWS Bedrock Model Tests', () => {
   });
 });
 
+describe('Amazon Model Tests', () => {
+  describe('Amazon Nova Models', () => {
+    it('should return correct pricing for nova-premier', () => {
+      expect(getMultiplier({ model: 'nova-premier', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-premier'].prompt,
+      );
+      expect(getMultiplier({ model: 'nova-premier', tokenType: 'completion' })).toBe(
+        tokenValues['nova-premier'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-premier-v1:0', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-premier'].prompt,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-premier-v1:0', tokenType: 'completion' })).toBe(
+        tokenValues['nova-premier'].completion,
+      );
+    });
+
+    it('should return correct pricing for nova-pro', () => {
+      expect(getMultiplier({ model: 'nova-pro', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-pro'].prompt,
+      );
+      expect(getMultiplier({ model: 'nova-pro', tokenType: 'completion' })).toBe(
+        tokenValues['nova-pro'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-pro-v1:0', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-pro'].prompt,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-pro-v1:0', tokenType: 'completion' })).toBe(
+        tokenValues['nova-pro'].completion,
+      );
+    });
+
+    it('should return correct pricing for nova-lite', () => {
+      expect(getMultiplier({ model: 'nova-lite', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-lite'].prompt,
+      );
+      expect(getMultiplier({ model: 'nova-lite', tokenType: 'completion' })).toBe(
+        tokenValues['nova-lite'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-lite-v1:0', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-lite'].prompt,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-lite-v1:0', tokenType: 'completion' })).toBe(
+        tokenValues['nova-lite'].completion,
+      );
+    });
+
+    it('should return correct pricing for nova-micro', () => {
+      expect(getMultiplier({ model: 'nova-micro', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-micro'].prompt,
+      );
+      expect(getMultiplier({ model: 'nova-micro', tokenType: 'completion' })).toBe(
+        tokenValues['nova-micro'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-micro-v1:0', tokenType: 'prompt' })).toBe(
+        tokenValues['nova-micro'].prompt,
+      );
+      expect(getMultiplier({ model: 'amazon.nova-micro-v1:0', tokenType: 'completion' })).toBe(
+        tokenValues['nova-micro'].completion,
+      );
+    });
+
+    it('should match both short and full model names to the same pricing', () => {
+      const models = ['nova-micro', 'nova-lite', 'nova-pro', 'nova-premier'];
+      const fullModels = [
+        'amazon.nova-micro-v1:0',
+        'amazon.nova-lite-v1:0',
+        'amazon.nova-pro-v1:0',
+        'amazon.nova-premier-v1:0',
+      ];
+
+      models.forEach((shortModel, i) => {
+        const fullModel = fullModels[i];
+        const shortPrompt = getMultiplier({ model: shortModel, tokenType: 'prompt' });
+        const fullPrompt = getMultiplier({ model: fullModel, tokenType: 'prompt' });
+        const shortCompletion = getMultiplier({ model: shortModel, tokenType: 'completion' });
+        const fullCompletion = getMultiplier({ model: fullModel, tokenType: 'completion' });
+
+        expect(shortPrompt).toBe(fullPrompt);
+        expect(shortCompletion).toBe(fullCompletion);
+        expect(shortPrompt).toBe(tokenValues[shortModel].prompt);
+        expect(shortCompletion).toBe(tokenValues[shortModel].completion);
+      });
+    });
+  });
+
+  describe('Amazon Titan Models', () => {
+    it('should return correct pricing for titan-text-premier', () => {
+      expect(getMultiplier({ model: 'titan-text-premier', tokenType: 'prompt' })).toBe(
+        tokenValues['titan-text-premier'].prompt,
+      );
+      expect(getMultiplier({ model: 'titan-text-premier', tokenType: 'completion' })).toBe(
+        tokenValues['titan-text-premier'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.titan-text-premier-v1:0', tokenType: 'prompt' })).toBe(
+        tokenValues['titan-text-premier'].prompt,
+      );
+      expect(
+        getMultiplier({ model: 'amazon.titan-text-premier-v1:0', tokenType: 'completion' }),
+      ).toBe(tokenValues['titan-text-premier'].completion);
+    });
+
+    it('should return correct pricing for titan-text-express', () => {
+      expect(getMultiplier({ model: 'titan-text-express', tokenType: 'prompt' })).toBe(
+        tokenValues['titan-text-express'].prompt,
+      );
+      expect(getMultiplier({ model: 'titan-text-express', tokenType: 'completion' })).toBe(
+        tokenValues['titan-text-express'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.titan-text-express-v1', tokenType: 'prompt' })).toBe(
+        tokenValues['titan-text-express'].prompt,
+      );
+      expect(
+        getMultiplier({ model: 'amazon.titan-text-express-v1', tokenType: 'completion' }),
+      ).toBe(tokenValues['titan-text-express'].completion);
+    });
+
+    it('should return correct pricing for titan-text-lite', () => {
+      expect(getMultiplier({ model: 'titan-text-lite', tokenType: 'prompt' })).toBe(
+        tokenValues['titan-text-lite'].prompt,
+      );
+      expect(getMultiplier({ model: 'titan-text-lite', tokenType: 'completion' })).toBe(
+        tokenValues['titan-text-lite'].completion,
+      );
+      expect(getMultiplier({ model: 'amazon.titan-text-lite-v1', tokenType: 'prompt' })).toBe(
+        tokenValues['titan-text-lite'].prompt,
+      );
+      expect(getMultiplier({ model: 'amazon.titan-text-lite-v1', tokenType: 'completion' })).toBe(
+        tokenValues['titan-text-lite'].completion,
+      );
+    });
+
+    it('should match both short and full model names to the same pricing', () => {
+      const models = ['titan-text-lite', 'titan-text-express', 'titan-text-premier'];
+      const fullModels = [
+        'amazon.titan-text-lite-v1',
+        'amazon.titan-text-express-v1',
+        'amazon.titan-text-premier-v1:0',
+      ];
+
+      models.forEach((shortModel, i) => {
+        const fullModel = fullModels[i];
+        const shortPrompt = getMultiplier({ model: shortModel, tokenType: 'prompt' });
+        const fullPrompt = getMultiplier({ model: fullModel, tokenType: 'prompt' });
+        const shortCompletion = getMultiplier({ model: shortModel, tokenType: 'completion' });
+        const fullCompletion = getMultiplier({ model: fullModel, tokenType: 'completion' });
+
+        expect(shortPrompt).toBe(fullPrompt);
+        expect(shortCompletion).toBe(fullCompletion);
+        expect(shortPrompt).toBe(tokenValues[shortModel].prompt);
+        expect(shortCompletion).toBe(tokenValues[shortModel].completion);
+      });
+    });
+  });
+});
+
+describe('AI21 Model Tests', () => {
+  describe('AI21 J2 Models', () => {
+    it('should return correct pricing for j2-mid', () => {
+      expect(getMultiplier({ model: 'j2-mid', tokenType: 'prompt' })).toBe(
+        tokenValues['j2-mid'].prompt,
+      );
+      expect(getMultiplier({ model: 'j2-mid', tokenType: 'completion' })).toBe(
+        tokenValues['j2-mid'].completion,
+      );
+      expect(getMultiplier({ model: 'ai21.j2-mid-v1', tokenType: 'prompt' })).toBe(
+        tokenValues['j2-mid'].prompt,
+      );
+      expect(getMultiplier({ model: 'ai21.j2-mid-v1', tokenType: 'completion' })).toBe(
+        tokenValues['j2-mid'].completion,
+      );
+    });
+
+    it('should return correct pricing for j2-ultra', () => {
+      expect(getMultiplier({ model: 'j2-ultra', tokenType: 'prompt' })).toBe(
+        tokenValues['j2-ultra'].prompt,
+      );
+      expect(getMultiplier({ model: 'j2-ultra', tokenType: 'completion' })).toBe(
+        tokenValues['j2-ultra'].completion,
+      );
+      expect(getMultiplier({ model: 'ai21.j2-ultra-v1', tokenType: 'prompt' })).toBe(
+        tokenValues['j2-ultra'].prompt,
+      );
+      expect(getMultiplier({ model: 'ai21.j2-ultra-v1', tokenType: 'completion' })).toBe(
+        tokenValues['j2-ultra'].completion,
+      );
+    });
+
+    it('should match both short and full model names to the same pricing', () => {
+      const models = ['j2-mid', 'j2-ultra'];
+      const fullModels = ['ai21.j2-mid-v1', 'ai21.j2-ultra-v1'];
+
+      models.forEach((shortModel, i) => {
+        const fullModel = fullModels[i];
+        const shortPrompt = getMultiplier({ model: shortModel, tokenType: 'prompt' });
+        const fullPrompt = getMultiplier({ model: fullModel, tokenType: 'prompt' });
+        const shortCompletion = getMultiplier({ model: shortModel, tokenType: 'completion' });
+        const fullCompletion = getMultiplier({ model: fullModel, tokenType: 'completion' });
+
+        expect(shortPrompt).toBe(fullPrompt);
+        expect(shortCompletion).toBe(fullCompletion);
+        expect(shortPrompt).toBe(tokenValues[shortModel].prompt);
+        expect(shortCompletion).toBe(tokenValues[shortModel].completion);
+      });
+    });
+  });
+
+  describe('AI21 Jamba Models', () => {
+    it('should return correct pricing for jamba-instruct', () => {
+      expect(getMultiplier({ model: 'jamba-instruct', tokenType: 'prompt' })).toBe(
+        tokenValues['jamba-instruct'].prompt,
+      );
+      expect(getMultiplier({ model: 'jamba-instruct', tokenType: 'completion' })).toBe(
+        tokenValues['jamba-instruct'].completion,
+      );
+      expect(getMultiplier({ model: 'ai21.jamba-instruct-v1:0', tokenType: 'prompt' })).toBe(
+        tokenValues['jamba-instruct'].prompt,
+      );
+      expect(getMultiplier({ model: 'ai21.jamba-instruct-v1:0', tokenType: 'completion' })).toBe(
+        tokenValues['jamba-instruct'].completion,
+      );
+    });
+
+    it('should match both short and full model names to the same pricing', () => {
+      const shortPrompt = getMultiplier({ model: 'jamba-instruct', tokenType: 'prompt' });
+      const fullPrompt = getMultiplier({
+        model: 'ai21.jamba-instruct-v1:0',
+        tokenType: 'prompt',
+      });
+      const shortCompletion = getMultiplier({ model: 'jamba-instruct', tokenType: 'completion' });
+      const fullCompletion = getMultiplier({
+        model: 'ai21.jamba-instruct-v1:0',
+        tokenType: 'completion',
+      });
+
+      expect(shortPrompt).toBe(fullPrompt);
+      expect(shortCompletion).toBe(fullCompletion);
+      expect(shortPrompt).toBe(tokenValues['jamba-instruct'].prompt);
+      expect(shortCompletion).toBe(tokenValues['jamba-instruct'].completion);
+    });
+  });
+});
+
 describe('Deepseek Model Tests', () => {
   const deepseekModels = ['deepseek-chat', 'deepseek-coder', 'deepseek-reasoner', 'deepseek.r1'];
 
@@ -480,6 +768,187 @@ describe('Deepseek Model Tests', () => {
   });
 });
 
+describe('Qwen3 Model Tests', () => {
+  describe('Qwen3 Base Models', () => {
+    it('should return correct pricing for qwen3 base pattern', () => {
+      expect(getMultiplier({ model: 'qwen3', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-4b (falls back to qwen3)', () => {
+      expect(getMultiplier({ model: 'qwen3-4b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-4b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-8b', () => {
+      expect(getMultiplier({ model: 'qwen3-8b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-8b'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-8b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-8b'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-14b', () => {
+      expect(getMultiplier({ model: 'qwen3-14b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-14b'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-14b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-14b'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-235b-a22b', () => {
+      expect(getMultiplier({ model: 'qwen3-235b-a22b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-235b-a22b'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-235b-a22b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-235b-a22b'].completion,
+      );
+    });
+
+    it('should handle model name variations with provider prefixes', () => {
+      const models = [
+        { input: 'qwen3', expected: 'qwen3' },
+        { input: 'qwen3-4b', expected: 'qwen3' },
+        { input: 'qwen3-8b', expected: 'qwen3-8b' },
+        { input: 'qwen3-32b', expected: 'qwen3-32b' },
+      ];
+      models.forEach(({ input, expected }) => {
+        const withPrefix = `alibaba/${input}`;
+        expect(getMultiplier({ model: withPrefix, tokenType: 'prompt' })).toBe(
+          tokenValues[expected].prompt,
+        );
+        expect(getMultiplier({ model: withPrefix, tokenType: 'completion' })).toBe(
+          tokenValues[expected].completion,
+        );
+      });
+    });
+  });
+
+  describe('Qwen3 VL (Vision-Language) Models', () => {
+    it('should return correct pricing for qwen3-vl-8b-thinking', () => {
+      expect(getMultiplier({ model: 'qwen3-vl-8b-thinking', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-vl-8b-thinking'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-vl-8b-thinking', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-vl-8b-thinking'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-vl-8b-instruct', () => {
+      expect(getMultiplier({ model: 'qwen3-vl-8b-instruct', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-vl-8b-instruct'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-vl-8b-instruct', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-vl-8b-instruct'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-vl-30b-a3b', () => {
+      expect(getMultiplier({ model: 'qwen3-vl-30b-a3b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-vl-30b-a3b'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-vl-30b-a3b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-vl-30b-a3b'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-vl-235b-a22b', () => {
+      expect(getMultiplier({ model: 'qwen3-vl-235b-a22b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-vl-235b-a22b'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-vl-235b-a22b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-vl-235b-a22b'].completion,
+      );
+    });
+  });
+
+  describe('Qwen3 Specialized Models', () => {
+    it('should return correct pricing for qwen3-max', () => {
+      expect(getMultiplier({ model: 'qwen3-max', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-max'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-max', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-max'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-coder', () => {
+      expect(getMultiplier({ model: 'qwen3-coder', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-coder'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-coder', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-coder'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-coder-plus', () => {
+      expect(getMultiplier({ model: 'qwen3-coder-plus', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-coder-plus'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-coder-plus', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-coder-plus'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-coder-flash', () => {
+      expect(getMultiplier({ model: 'qwen3-coder-flash', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-coder-flash'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-coder-flash', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-coder-flash'].completion,
+      );
+    });
+
+    it('should return correct pricing for qwen3-next-80b-a3b', () => {
+      expect(getMultiplier({ model: 'qwen3-next-80b-a3b', tokenType: 'prompt' })).toBe(
+        tokenValues['qwen3-next-80b-a3b'].prompt,
+      );
+      expect(getMultiplier({ model: 'qwen3-next-80b-a3b', tokenType: 'completion' })).toBe(
+        tokenValues['qwen3-next-80b-a3b'].completion,
+      );
+    });
+  });
+
+  describe('Qwen3 Model Variations', () => {
+    it('should handle all qwen3 models with provider prefixes', () => {
+      const models = ['qwen3', 'qwen3-8b', 'qwen3-max', 'qwen3-coder', 'qwen3-vl-8b-instruct'];
+      const prefixes = ['alibaba', 'qwen', 'openrouter'];
+
+      models.forEach((model) => {
+        prefixes.forEach((prefix) => {
+          const fullModel = `${prefix}/${model}`;
+          expect(getMultiplier({ model: fullModel, tokenType: 'prompt' })).toBe(
+            tokenValues[model].prompt,
+          );
+          expect(getMultiplier({ model: fullModel, tokenType: 'completion' })).toBe(
+            tokenValues[model].completion,
+          );
+        });
+      });
+    });
+
+    it('should handle qwen3-4b falling back to qwen3 base pattern', () => {
+      const testCases = ['qwen3-4b', 'alibaba/qwen3-4b', 'qwen/qwen3-4b-preview'];
+      testCases.forEach((model) => {
+        expect(getMultiplier({ model, tokenType: 'prompt' })).toBe(tokenValues['qwen3'].prompt);
+        expect(getMultiplier({ model, tokenType: 'completion' })).toBe(
+          tokenValues['qwen3'].completion,
+        );
+      });
+    });
+  });
+});
+
 describe('getCacheMultiplier', () => {
   it('should return the correct cache multiplier for a given valueKey and cacheType', () => {
     expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'write' })).toBe(
@@ -772,6 +1241,110 @@ describe('Grok Model Tests - Pricing', () => {
   });
 });
 
+describe('GLM Model Tests', () => {
+  it('should return expected value keys for GLM models', () => {
+    expect(getValueKey('glm-4.6')).toBe('glm-4.6');
+    expect(getValueKey('glm-4.5')).toBe('glm-4.5');
+    expect(getValueKey('glm-4.5v')).toBe('glm-4.5v');
+    expect(getValueKey('glm-4.5-air')).toBe('glm-4.5-air');
+    expect(getValueKey('glm-4-32b')).toBe('glm-4-32b');
+    expect(getValueKey('glm-4')).toBe('glm-4');
+    expect(getValueKey('glm4')).toBe('glm4');
+  });
+
+  it('should match GLM model variations with provider prefixes', () => {
+    expect(getValueKey('z-ai/glm-4.6')).toBe('glm-4.6');
+    expect(getValueKey('z-ai/glm-4.5')).toBe('glm-4.5');
+    expect(getValueKey('z-ai/glm-4.5-air')).toBe('glm-4.5-air');
+    expect(getValueKey('z-ai/glm-4.5v')).toBe('glm-4.5v');
+    expect(getValueKey('z-ai/glm-4-32b')).toBe('glm-4-32b');
+
+    expect(getValueKey('zai/glm-4.6')).toBe('glm-4.6');
+    expect(getValueKey('zai/glm-4.5')).toBe('glm-4.5');
+    expect(getValueKey('zai/glm-4.5-air')).toBe('glm-4.5-air');
+    expect(getValueKey('zai/glm-4.5v')).toBe('glm-4.5v');
+
+    expect(getValueKey('zai-org/GLM-4.6')).toBe('glm-4.6');
+    expect(getValueKey('zai-org/GLM-4.5')).toBe('glm-4.5');
+    expect(getValueKey('zai-org/GLM-4.5-Air')).toBe('glm-4.5-air');
+    expect(getValueKey('zai-org/GLM-4.5V')).toBe('glm-4.5v');
+    expect(getValueKey('zai-org/GLM-4-32B-0414')).toBe('glm-4-32b');
+  });
+
+  it('should match GLM model variations with suffixes', () => {
+    expect(getValueKey('glm-4.6-fp8')).toBe('glm-4.6');
+    expect(getValueKey('zai-org/GLM-4.6-FP8')).toBe('glm-4.6');
+    expect(getValueKey('zai-org/GLM-4.5-Air-FP8')).toBe('glm-4.5-air');
+  });
+
+  it('should prioritize more specific GLM model patterns', () => {
+    expect(getValueKey('glm-4.5-air-something')).toBe('glm-4.5-air');
+    expect(getValueKey('glm-4.5-something')).toBe('glm-4.5');
+    expect(getValueKey('glm-4.5v-something')).toBe('glm-4.5v');
+  });
+
+  it('should return correct multipliers for all GLM models', () => {
+    expect(getMultiplier({ model: 'glm-4.6', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4.6'].prompt,
+    );
+    expect(getMultiplier({ model: 'glm-4.6', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4.6'].completion,
+    );
+
+    expect(getMultiplier({ model: 'glm-4.5v', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4.5v'].prompt,
+    );
+    expect(getMultiplier({ model: 'glm-4.5v', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4.5v'].completion,
+    );
+
+    expect(getMultiplier({ model: 'glm-4.5-air', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4.5-air'].prompt,
+    );
+    expect(getMultiplier({ model: 'glm-4.5-air', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4.5-air'].completion,
+    );
+
+    expect(getMultiplier({ model: 'glm-4.5', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4.5'].prompt,
+    );
+    expect(getMultiplier({ model: 'glm-4.5', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4.5'].completion,
+    );
+
+    expect(getMultiplier({ model: 'glm-4-32b', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4-32b'].prompt,
+    );
+    expect(getMultiplier({ model: 'glm-4-32b', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4-32b'].completion,
+    );
+
+    expect(getMultiplier({ model: 'glm-4', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4'].prompt,
+    );
+    expect(getMultiplier({ model: 'glm-4', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4'].completion,
+    );
+
+    expect(getMultiplier({ model: 'glm4', tokenType: 'prompt' })).toBe(tokenValues['glm4'].prompt);
+    expect(getMultiplier({ model: 'glm4', tokenType: 'completion' })).toBe(
+      tokenValues['glm4'].completion,
+    );
+  });
+
+  it('should return correct multipliers for GLM models with provider prefixes', () => {
+    expect(getMultiplier({ model: 'z-ai/glm-4.6', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4.6'].prompt,
+    );
+    expect(getMultiplier({ model: 'zai/glm-4.5-air', tokenType: 'completion' })).toBe(
+      tokenValues['glm-4.5-air'].completion,
+    );
+    expect(getMultiplier({ model: 'zai-org/GLM-4.5V', tokenType: 'prompt' })).toBe(
+      tokenValues['glm-4.5v'].prompt,
+    );
+  });
+});
+
 describe('Claude Model Tests', () => {
   it('should return correct prompt and completion rates for Claude 4 models', () => {
     expect(getMultiplier({ model: 'claude-sonnet-4', tokenType: 'prompt' })).toBe(
@@ -788,6 +1361,37 @@ describe('Claude Model Tests', () => {
     );
   });
 
+  it('should return correct prompt and completion rates for Claude Haiku 4.5', () => {
+    expect(getMultiplier({ model: 'claude-haiku-4-5', tokenType: 'prompt' })).toBe(
+      tokenValues['claude-haiku-4-5'].prompt,
+    );
+    expect(getMultiplier({ model: 'claude-haiku-4-5', tokenType: 'completion' })).toBe(
+      tokenValues['claude-haiku-4-5'].completion,
+    );
+  });
+
+  it('should handle Claude Haiku 4.5 model name variations', () => {
+    const modelVariations = [
+      'claude-haiku-4-5',
+      'claude-haiku-4-5-20250420',
+      'claude-haiku-4-5-latest',
+      'anthropic/claude-haiku-4-5',
+      'claude-haiku-4-5/anthropic',
+      'claude-haiku-4-5-preview',
+    ];
+
+    modelVariations.forEach((model) => {
+      const valueKey = getValueKey(model);
+      expect(valueKey).toBe('claude-haiku-4-5');
+      expect(getMultiplier({ model, tokenType: 'prompt' })).toBe(
+        tokenValues['claude-haiku-4-5'].prompt,
+      );
+      expect(getMultiplier({ model, tokenType: 'completion' })).toBe(
+        tokenValues['claude-haiku-4-5'].completion,
+      );
+    });
+  });
+
   it('should handle Claude 4 model name variations with different prefixes and suffixes', () => {
     const modelVariations = [
       'claude-sonnet-4',
@@ -865,3 +1469,119 @@ describe('Claude Model Tests', () => {
     });
   });
 });
+
+describe('tokens.ts and tx.js sync validation', () => {
+  it('should resolve all models in maxTokensMap to pricing via getValueKey', () => {
+    const tokensKeys = Object.keys(maxTokensMap[EModelEndpoint.openAI]);
+    const txKeys = Object.keys(tokenValues);
+
+    const unresolved = [];
+
+    tokensKeys.forEach((key) => {
+      // Skip legacy token size mappings (e.g., '4k', '8k', '16k', '32k')
+      if (/^\d+k$/.test(key)) return;
+
+      // Skip generic pattern keys (end with '-' or ':')
+      if (key.endsWith('-') || key.endsWith(':')) return;
+
+      // Try to resolve via getValueKey
+      const resolvedKey = getValueKey(key);
+
+      // If it resolves and the resolved key has pricing, success
+      if (resolvedKey && txKeys.includes(resolvedKey)) return;
+
+      // If it resolves to a legacy key (4k, 8k, etc), also OK
+      if (resolvedKey && /^\d+k$/.test(resolvedKey)) return;
+
+      // If we get here, this model can't get pricing - flag it
+      unresolved.push({
+        key,
+        resolvedKey: resolvedKey || 'undefined',
+        context: maxTokensMap[EModelEndpoint.openAI][key],
+      });
+    });
+
+    if (unresolved.length > 0) {
+      console.log('\nModels that cannot resolve to pricing via getValueKey:');
+      unresolved.forEach(({ key, resolvedKey, context }) => {
+        console.log(`  - '${key}' → '${resolvedKey}' (context: ${context})`);
+      });
+    }
+
+    expect(unresolved).toEqual([]);
+  });
+
+  it('should not have redundant dated variants with same pricing and context as base model', () => {
+    const txKeys = Object.keys(tokenValues);
+    const redundant = [];
+
+    txKeys.forEach((key) => {
+      // Check if this is a dated variant (ends with -YYYY-MM-DD)
+      if (key.match(/.*-\d{4}-\d{2}-\d{2}$/)) {
+        const baseKey = key.replace(/-\d{4}-\d{2}-\d{2}$/, '');
+
+        if (txKeys.includes(baseKey)) {
+          const variantPricing = tokenValues[key];
+          const basePricing = tokenValues[baseKey];
+          const variantContext = maxTokensMap[EModelEndpoint.openAI][key];
+          const baseContext = maxTokensMap[EModelEndpoint.openAI][baseKey];
+
+          const samePricing =
+            variantPricing.prompt === basePricing.prompt &&
+            variantPricing.completion === basePricing.completion;
+          const sameContext = variantContext === baseContext;
+
+          if (samePricing && sameContext) {
+            redundant.push({
+              key,
+              baseKey,
+              pricing: `${variantPricing.prompt}/${variantPricing.completion}`,
+              context: variantContext,
+            });
+          }
+        }
+      }
+    });
+
+    if (redundant.length > 0) {
+      console.log('\nRedundant dated variants found (same pricing and context as base):');
+      redundant.forEach(({ key, baseKey, pricing, context }) => {
+        console.log(`  - '${key}' → '${baseKey}' (pricing: ${pricing}, context: ${context})`);
+        console.log(`    Can be removed - pattern matching will handle it`);
+      });
+    }
+
+    expect(redundant).toEqual([]);
+  });
+
+  it('should have context windows in tokens.ts for all models with pricing in tx.js (openAI catch-all)', () => {
+    const txKeys = Object.keys(tokenValues);
+    const missingContext = [];
+
+    txKeys.forEach((key) => {
+      // Skip legacy token size mappings (4k, 8k, 16k, 32k)
+      if (/^\d+k$/.test(key)) return;
+
+      // Check if this model has a context window defined
+      const context = maxTokensMap[EModelEndpoint.openAI][key];
+
+      if (!context) {
+        const pricing = tokenValues[key];
+        missingContext.push({
+          key,
+          pricing: `${pricing.prompt}/${pricing.completion}`,
+        });
+      }
+    });
+
+    if (missingContext.length > 0) {
+      console.log('\nModels with pricing but missing context in tokens.ts:');
+      missingContext.forEach(({ key, pricing }) => {
+        console.log(`  - '${key}' (pricing: ${pricing})`);
+        console.log(`    Add to tokens.ts openAIModels/bedrockModels/etc.`);
+      });
+    }
+
+    expect(missingContext).toEqual([]);
+  });
+});

api/package.json

@@ -47,9 +47,8 @@
     "@langchain/core": "^0.3.62",
     "@langchain/google-genai": "^0.2.13",
     "@langchain/google-vertexai": "^0.2.13",
-    "@langchain/openai": "^0.5.18",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^2.4.82",
+    "@librechat/agents": "^2.4.86",
     "@librechat/api": "*",
     "@librechat/data-schemas": "*",
     "@microsoft/microsoft-graph-client": "^3.0.7",
@@ -94,7 +93,7 @@
     "multer": "^2.0.2",
     "nanoid": "^3.3.7",
     "node-fetch": "^2.7.0",
-    "nodemailer": "^6.9.15",
+    "nodemailer": "^7.0.9",
     "ollama": "^0.5.0",
     "openai": "^5.10.1",
     "openid-client": "^6.5.0",

api/server/controllers/AuthController.js

@@ -116,11 +116,15 @@ const refreshController = async (req, res) => {
       const token = await setAuthTokens(userId, res, session);
 
       // trigger OAuth MCP server reconnection asynchronously (best effort)
-      void getOAuthReconnectionManager()
-        .reconnectServers(userId)
-        .catch((err) => {
-          logger.error('Error reconnecting OAuth MCP servers:', err);
-        });
+      try {
+        void getOAuthReconnectionManager()
+          .reconnectServers(userId)
+          .catch((err) => {
+            logger.error('[refreshController] Error reconnecting OAuth MCP servers:', err);
+          });
+      } catch (err) {
+        logger.warn(`[refreshController] Cannot attempt OAuth MCP servers reconnection:`, err);
+      }
 
       res.status(200).send({ token, user });
     } else if (req?.query?.retry) {

api/server/controllers/ModelController.js

@@ -1,7 +1,7 @@
+const { logger } = require('@librechat/data-schemas');
 const { CacheKeys } = require('librechat-data-provider');
 const { loadDefaultModels, loadConfigModels } = require('~/server/services/Config');
 const { getLogStores } = require('~/cache');
-const { logger } = require('~/config');
 
 /**
  * @param {ServerRequest} req

api/server/controllers/UserController.js

@@ -1,7 +1,6 @@
-const { logger } = require('@librechat/data-schemas');
+const { logger, webSearchKeys } = require('@librechat/data-schemas');
 const { Tools, CacheKeys, Constants, FileSources } = require('librechat-data-provider');
 const {
-  webSearchKeys,
   MCPOAuthHandler,
   MCPTokenStorage,
   normalizeHttpError,
@@ -328,16 +327,23 @@ const maybeUninstallOAuthMCP = async (userId, pluginKey, appConfig) => {
   const revocationEndpointAuthMethodsSupported =
     serverConfig.oauth?.revocation_endpoint_auth_methods_supported ??
     clientMetadata.revocation_endpoint_auth_methods_supported;
+  const oauthHeaders = serverConfig.oauth_headers ?? {};
 
   if (tokens?.access_token) {
     try {
-      await MCPOAuthHandler.revokeOAuthToken(serverName, tokens.access_token, 'access', {
-        serverUrl: serverConfig.url,
-        clientId: clientInfo.client_id,
-        clientSecret: clientInfo.client_secret ?? '',
-        revocationEndpoint,
-        revocationEndpointAuthMethodsSupported,
-      });
+      await MCPOAuthHandler.revokeOAuthToken(
+        serverName,
+        tokens.access_token,
+        'access',
+        {
+          serverUrl: serverConfig.url,
+          clientId: clientInfo.client_id,
+          clientSecret: clientInfo.client_secret ?? '',
+          revocationEndpoint,
+          revocationEndpointAuthMethodsSupported,
+        },
+        oauthHeaders,
+      );
     } catch (error) {
       logger.error(`Error revoking OAuth access token for ${serverName}:`, error);
     }
@@ -345,13 +351,19 @@ const maybeUninstallOAuthMCP = async (userId, pluginKey, appConfig) => {
 
   if (tokens?.refresh_token) {
     try {
-      await MCPOAuthHandler.revokeOAuthToken(serverName, tokens.refresh_token, 'refresh', {
-        serverUrl: serverConfig.url,
-        clientId: clientInfo.client_id,
-        clientSecret: clientInfo.client_secret ?? '',
-        revocationEndpoint,
-        revocationEndpointAuthMethodsSupported,
-      });
+      await MCPOAuthHandler.revokeOAuthToken(
+        serverName,
+        tokens.refresh_token,
+        'refresh',
+        {
+          serverUrl: serverConfig.url,
+          clientId: clientInfo.client_id,
+          clientSecret: clientInfo.client_secret ?? '',
+          revocationEndpoint,
+          revocationEndpointAuthMethodsSupported,
+        },
+        oauthHeaders,
+      );
     } catch (error) {
       logger.error(`Error revoking OAuth refresh token for ${serverName}:`, error);
     }

api/server/controllers/agents/client.js

@@ -211,16 +211,13 @@ class AgentClient extends BaseClient {
    * @returns {Promise<Array<Partial<MongoFile>>>}
    */
   async addImageURLs(message, attachments) {
-    const { files, text, image_urls } = await encodeAndFormat(
+    const { files, image_urls } = await encodeAndFormat(
       this.options.req,
       attachments,
       this.options.agent.provider,
       VisionModes.agents,
     );
     message.image_urls = image_urls.length ? image_urls : undefined;
-    if (text && text.length) {
-      message.ocr = text;
-    }
     return files;
   }
 
@@ -248,19 +245,18 @@ class AgentClient extends BaseClient {
 
     if (this.options.attachments) {
       const attachments = await this.options.attachments;
+      const latestMessage = orderedMessages[orderedMessages.length - 1];
 
       if (this.message_file_map) {
-        this.message_file_map[orderedMessages[orderedMessages.length - 1].messageId] = attachments;
+        this.message_file_map[latestMessage.messageId] = attachments;
       } else {
         this.message_file_map = {
-          [orderedMessages[orderedMessages.length - 1].messageId]: attachments,
+          [latestMessage.messageId]: attachments,
         };
       }
 
-      const files = await this.addImageURLs(
-        orderedMessages[orderedMessages.length - 1],
-        attachments,
-      );
+      await this.addFileContextToMessage(latestMessage, attachments);
+      const files = await this.processAttachments(latestMessage, attachments);
 
       this.options.attachments = files;
     }
@@ -280,21 +276,21 @@ class AgentClient extends BaseClient {
         assistantName: this.options?.modelLabel,
       });
 
-      if (message.ocr && i !== orderedMessages.length - 1) {
+      if (message.fileContext && i !== orderedMessages.length - 1) {
         if (typeof formattedMessage.content === 'string') {
-          formattedMessage.content = message.ocr + '\n' + formattedMessage.content;
+          formattedMessage.content = message.fileContext + '\n' + formattedMessage.content;
         } else {
           const textPart = formattedMessage.content.find((part) => part.type === 'text');
           textPart
-            ? (textPart.text = message.ocr + '\n' + textPart.text)
-            : formattedMessage.content.unshift({ type: 'text', text: message.ocr });
+            ? (textPart.text = message.fileContext + '\n' + textPart.text)
+            : formattedMessage.content.unshift({ type: 'text', text: message.fileContext });
         }
-      } else if (message.ocr && i === orderedMessages.length - 1) {
-        systemContent = [systemContent, message.ocr].join('\n');
+      } else if (message.fileContext && i === orderedMessages.length - 1) {
+        systemContent = [systemContent, message.fileContext].join('\n');
       }
 
       const needsTokenCount =
-        (this.contextStrategy && !orderedMessages[i].tokenCount) || message.ocr;
+        (this.contextStrategy && !orderedMessages[i].tokenCount) || message.fileContext;
 
       /* If tokens were never counted, or, is a Vision request and the message has files, count again */
       if (needsTokenCount || (this.isVisionModel && (message.image_urls || message.files))) {
@@ -1116,8 +1112,8 @@ class AgentClient extends BaseClient {
       appConfig.endpoints?.[endpoint] ??
       titleProviderConfig.customEndpointConfig;
     if (!endpointConfig) {
-      logger.warn(
-        '[api/server/controllers/agents/client.js #titleConvo] Error getting endpoint config',
+      logger.debug(
+        `[api/server/controllers/agents/client.js #titleConvo] No endpoint config for "${endpoint}"`,
       );
     }
 

api/server/controllers/auth/LoginController.js

@@ -1,6 +1,6 @@
+const { logger } = require('@librechat/data-schemas');
 const { generate2FATempToken } = require('~/server/services/twoFactorService');
 const { setAuthTokens } = require('~/server/services/AuthService');
-const { logger } = require('~/config');
 
 const loginController = async (req, res) => {
   try {

api/server/controllers/auth/LogoutController.js

@@ -1,8 +1,8 @@
 const cookies = require('cookie');
-const { getOpenIdConfig } = require('~/strategies');
+const { isEnabled } = require('@librechat/api');
+const { logger } = require('@librechat/data-schemas');
 const { logoutUser } = require('~/server/services/AuthService');
-const { isEnabled } = require('~/server/utils');
-const { logger } = require('~/config');
+const { getOpenIdConfig } = require('~/strategies');
 
 const logoutController = async (req, res) => {
   const refreshToken = req.headers.cookie ? cookies.parse(req.headers.cookie).refreshToken : null;

api/server/index.js

@@ -10,7 +10,12 @@ const compression = require('compression');
 const cookieParser = require('cookie-parser');
 const { logger } = require('@librechat/data-schemas');
 const mongoSanitize = require('express-mongo-sanitize');
-const { isEnabled, ErrorController } = require('@librechat/api');
+const {
+  isEnabled,
+  ErrorController,
+  performStartupChecks,
+  initializeFileStorage,
+} = require('@librechat/api');
 const { connectDb, indexSync } = require('~/db');
 const initializeOAuthReconnectManager = require('./services/initializeOAuthReconnectManager');
 const createValidateImageRequest = require('./middleware/validateImageRequest');
@@ -49,9 +54,11 @@ const startServer = async () => {
   app.set('trust proxy', trusted_proxy);
 
   await seedDatabase();
-
   const appConfig = await getAppConfig();
+  initializeFileStorage(appConfig);
+  await performStartupChecks(appConfig);
   await updateInterfacePermissions(appConfig);
+
   const indexPath = path.join(appConfig.paths.dist, 'index.html');
   let indexHTML = fs.readFileSync(indexPath, 'utf8');
 

api/server/middleware/canDeleteAccount.js

@@ -1,6 +1,6 @@
+const { isEnabled } = require('@librechat/api');
+const { logger } = require('@librechat/data-schemas');
 const { SystemRoles } = require('librechat-data-provider');
-const { isEnabled } = require('~/server/utils');
-const { logger } = require('~/config');
 
 /**
  * Checks if the user can delete their account

api/server/middleware/checkBan.js

@@ -1,9 +1,9 @@
 const { Keyv } = require('keyv');
 const uap = require('ua-parser-js');
 const { logger } = require('@librechat/data-schemas');
+const { isEnabled, keyvMongo } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
-const { isEnabled, removePorts } = require('~/server/utils');
-const keyvMongo = require('~/cache/keyvMongo');
+const { removePorts } = require('~/server/utils');
 const denyRequest = require('./denyRequest');
 const { getLogStores } = require('~/cache');
 const { findUser } = require('~/models');

api/server/middleware/checkPeoplePickerAccess.js

@@ -1,6 +1,6 @@
+const { logger } = require('@librechat/data-schemas');
 const { PrincipalType, PermissionTypes, Permissions } = require('librechat-data-provider');
 const { getRoleByName } = require('~/models/Role');
-const { logger } = require('~/config');
 
 /**
  * Middleware to check if user has permission to access people picker functionality

api/server/middleware/checkPeoplePickerAccess.spec.js

@@ -1,10 +1,11 @@
+const { logger } = require('@librechat/data-schemas');
 const { PrincipalType, PermissionTypes, Permissions } = require('librechat-data-provider');
 const { checkPeoplePickerAccess } = require('./checkPeoplePickerAccess');
 const { getRoleByName } = require('~/models/Role');
-const { logger } = require('~/config');
 
 jest.mock('~/models/Role');
-jest.mock('~/config', () => ({
+jest.mock('@librechat/data-schemas', () => ({
+  ...jest.requireActual('@librechat/data-schemas'),
   logger: {
     error: jest.fn(),
   },

api/server/middleware/concurrentLimiter.js

@@ -1,7 +1,7 @@
+const { isEnabled } = require('@librechat/api');
 const { Time, CacheKeys, ViolationTypes } = require('librechat-data-provider');
 const clearPendingReq = require('~/cache/clearPendingReq');
 const { logViolation, getLogStores } = require('~/cache');
-const { isEnabled } = require('~/server/utils');
 const denyRequest = require('./denyRequest');
 
 const {

api/server/middleware/limiters/forkLimiters.js

@@ -1,6 +1,6 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
-const { limiterCache } = require('~/cache/cacheFactory');
 const logViolation = require('~/cache/logViolation');
 
 const getEnvironmentVariables = () => {

api/server/middleware/limiters/importLimiters.js

@@ -1,6 +1,6 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
-const { limiterCache } = require('~/cache/cacheFactory');
 const logViolation = require('~/cache/logViolation');
 
 const getEnvironmentVariables = () => {

api/server/middleware/limiters/loginLimiter.js

@@ -1,7 +1,7 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const { removePorts } = require('~/server/utils');
-const { limiterCache } = require('~/cache/cacheFactory');
 const { logViolation } = require('~/cache');
 
 const { LOGIN_WINDOW = 5, LOGIN_MAX = 7, LOGIN_VIOLATION_SCORE: score } = process.env;

api/server/middleware/limiters/messageLimiters.js

@@ -1,7 +1,7 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const denyRequest = require('~/server/middleware/denyRequest');
-const { limiterCache } = require('~/cache/cacheFactory');
 const { logViolation } = require('~/cache');
 
 const {

api/server/middleware/limiters/registerLimiter.js

@@ -1,7 +1,7 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const { removePorts } = require('~/server/utils');
-const { limiterCache } = require('~/cache/cacheFactory');
 const { logViolation } = require('~/cache');
 
 const { REGISTER_WINDOW = 60, REGISTER_MAX = 5, REGISTRATION_VIOLATION_SCORE: score } = process.env;

api/server/middleware/limiters/resetPasswordLimiter.js

@@ -1,7 +1,7 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const { removePorts } = require('~/server/utils');
-const { limiterCache } = require('~/cache/cacheFactory');
 const { logViolation } = require('~/cache');
 
 const {

api/server/middleware/limiters/sttLimiters.js

@@ -1,6 +1,6 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
-const { limiterCache } = require('~/cache/cacheFactory');
 const logViolation = require('~/cache/logViolation');
 
 const getEnvironmentVariables = () => {

api/server/middleware/limiters/toolCallLimiter.js

@@ -1,6 +1,6 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
-const { limiterCache } = require('~/cache/cacheFactory');
 const logViolation = require('~/cache/logViolation');
 
 const { TOOL_CALL_VIOLATION_SCORE: score } = process.env;

api/server/middleware/limiters/ttsLimiters.js

@@ -1,7 +1,7 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const logViolation = require('~/cache/logViolation');
-const { limiterCache } = require('~/cache/cacheFactory');
 
 const getEnvironmentVariables = () => {
   const TTS_IP_MAX = parseInt(process.env.TTS_IP_MAX) || 100;

api/server/middleware/limiters/uploadLimiters.js

@@ -1,6 +1,6 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
-const { limiterCache } = require('~/cache/cacheFactory');
 const logViolation = require('~/cache/logViolation');
 
 const getEnvironmentVariables = () => {

api/server/middleware/limiters/verifyEmailLimiter.js

@@ -1,7 +1,7 @@
 const rateLimit = require('express-rate-limit');
+const { limiterCache } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
 const { removePorts } = require('~/server/utils');
-const { limiterCache } = require('~/cache/cacheFactory');
 const { logViolation } = require('~/cache');
 
 const {

api/server/middleware/logHeaders.js

@@ -1,4 +1,4 @@
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 /**
  * Middleware to log Forwarded Headers

api/server/middleware/moderateText.js

@@ -1,8 +1,8 @@
 const axios = require('axios');
+const { isEnabled } = require('@librechat/api');
+const { logger } = require('@librechat/data-schemas');
 const { ErrorTypes } = require('librechat-data-provider');
-const { isEnabled } = require('~/server/utils');
 const denyRequest = require('./denyRequest');
-const { logger } = require('~/config');
 
 async function moderateText(req, res, next) {
   if (!isEnabled(process.env.OPENAI_MODERATION)) {

api/server/middleware/optionalJwtAuth.js

@@ -1,6 +1,6 @@
 const cookies = require('cookie');
-const { isEnabled } = require('~/server/utils');
 const passport = require('passport');
+const { isEnabled } = require('@librechat/api');
 
 // This middleware does not require authentication,
 // but if the user is authenticated, it will set the user object.

api/server/middleware/requireJwtAuth.js

@@ -1,6 +1,6 @@
-const passport = require('passport');
 const cookies = require('cookie');
-const { isEnabled } = require('~/server/utils');
+const passport = require('passport');
+const { isEnabled } = require('@librechat/api');
 
 /**
  * Custom Middleware to handle JWT authentication, with support for OpenID token reuse

api/server/middleware/requireLocalAuth.js

@@ -1,5 +1,5 @@
 const passport = require('passport');
-const { logger } = require('~/config');
+const { logger } = require('@librechat/data-schemas');
 
 const requireLocalAuth = (req, res, next) => {
   passport.authenticate('local', (err, user, info) => {

api/server/middleware/validatePasswordReset.js

@@ -1,5 +1,5 @@
-const { isEnabled } = require('~/server/utils');
-const { logger } = require('~/config');
+const { isEnabled } = require('@librechat/api');
+const { logger } = require('@librechat/data-schemas');
 
 function validatePasswordReset(req, res, next) {
   if (isEnabled(process.env.ALLOW_PASSWORD_RESET)) {

api/server/middleware/validateRegistration.js

@@ -1,4 +1,4 @@
-const { isEnabled } = require('~/server/utils');
+const { isEnabled } = require('@librechat/api');
 
 function validateRegistration(req, res, next) {
   if (req.invite) {

api/server/routes/__tests__/config.spec.js

@@ -43,7 +43,6 @@ afterEach(() => {
 
 //TODO: This works/passes locally but http request tests fail with 404 in CI. Need to figure out why.
 
-// eslint-disable-next-line jest/no-disabled-tests
 describe.skip('GET /', () => {
   it('should return 200 and the correct body', async () => {
     process.env.APP_TITLE = 'Test Title';

api/server/routes/__tests__/ldap.spec.js

@@ -1,10 +1,13 @@
-const request = require('supertest');
 const express = require('express');
+const request = require('supertest');
+const { isEnabled } = require('@librechat/api');
 const { getLdapConfig } = require('~/server/services/Config/ldap');
-const { isEnabled } = require('~/server/utils');
 
 jest.mock('~/server/services/Config/ldap');
-jest.mock('~/server/utils');
+jest.mock('@librechat/api', () => ({
+  ...jest.requireActual('@librechat/api'),
+  isEnabled: jest.fn(),
+}));
 
 const app = express();
 

api/server/routes/__tests__/mcp.spec.js

@@ -127,8 +127,13 @@ describe('MCP Routes', () => {
         }),
       };
 
+      const mockMcpManager = {
+        getRawConfig: jest.fn().mockReturnValue({}),
+      };
+
       getLogStores.mockReturnValue({});
       require('~/config').getFlowStateManager.mockReturnValue(mockFlowManager);
+      require('~/config').getMCPManager.mockReturnValue(mockMcpManager);
 
       MCPOAuthHandler.initiateOAuthFlow.mockResolvedValue({
         authorizationUrl: 'https://oauth.example.com/auth',
@@ -146,6 +151,7 @@ describe('MCP Routes', () => {
         'test-server',
         'https://test-server.com',
         'test-user-id',
+        {},
         { clientId: 'test-client-id' },
       );
     });
@@ -314,6 +320,7 @@ describe('MCP Routes', () => {
       };
       const mockMcpManager = {
         getUserConnection: jest.fn().mockResolvedValue(mockUserConnection),
+        getRawConfig: jest.fn().mockReturnValue({}),
       };
       require('~/config').getMCPManager.mockReturnValue(mockMcpManager);
 
@@ -336,6 +343,7 @@ describe('MCP Routes', () => {
         'test-flow-id',
         'test-auth-code',
         mockFlowManager,
+        {},
       );
       expect(MCPTokenStorage.storeTokens).toHaveBeenCalledWith(
         expect.objectContaining({
@@ -392,6 +400,11 @@ describe('MCP Routes', () => {
       getLogStores.mockReturnValue({});
       require('~/config').getFlowStateManager.mockReturnValue(mockFlowManager);
 
+      const mockMcpManager = {
+        getRawConfig: jest.fn().mockReturnValue({}),
+      };
+      require('~/config').getMCPManager.mockReturnValue(mockMcpManager);
+
       const response = await request(app).get('/api/mcp/test-server/oauth/callback').query({
         code: 'test-auth-code',
         state: 'test-flow-id',
@@ -427,6 +440,7 @@ describe('MCP Routes', () => {
 
       const mockMcpManager = {
         getUserConnection: jest.fn().mockRejectedValue(new Error('Reconnection failed')),
+        getRawConfig: jest.fn().mockReturnValue({}),
       };
       require('~/config').getMCPManager.mockReturnValue(mockMcpManager);
 
@@ -1234,6 +1248,7 @@ describe('MCP Routes', () => {
         getUserConnection: jest.fn().mockResolvedValue({
           fetchTools: jest.fn().mockResolvedValue([]),
         }),
+        getRawConfig: jest.fn().mockReturnValue({}),
       };
       require('~/config').getMCPManager.mockReturnValue(mockMcpManager);
 
@@ -1281,6 +1296,7 @@ describe('MCP Routes', () => {
             .fn()
             .mockResolvedValue([{ name: 'test-tool', description: 'Test tool' }]),
         }),
+        getRawConfig: jest.fn().mockReturnValue({}),
       };
       require('~/config').getMCPManager.mockReturnValue(mockMcpManager);
 

api/server/routes/agents/index.js

@@ -1,4 +1,5 @@
 const express = require('express');
+const { isEnabled } = require('@librechat/api');
 const {
   uaParser,
   checkBan,
@@ -8,7 +9,6 @@ const {
   concurrentLimiter,
   messageUserLimiter,
 } = require('~/server/middleware');
-const { isEnabled } = require('~/server/utils');
 const { v1 } = require('./v1');
 const chat = require('./chat');
 

api/server/routes/config.js

@@ -115,6 +115,9 @@ router.get('/', async function (req, res) {
       sharePointPickerGraphScope: process.env.SHAREPOINT_PICKER_GRAPH_SCOPE,
       sharePointPickerSharePointScope: process.env.SHAREPOINT_PICKER_SHAREPOINT_SCOPE,
       openidReuseTokens,
+      conversationImportMaxFileSize: process.env.CONVERSATION_IMPORT_MAX_FILE_SIZE_BYTES
+        ? parseInt(process.env.CONVERSATION_IMPORT_MAX_FILE_SIZE_BYTES, 10)
+        : 0,
     };
 
     const minPasswordLength = parseInt(process.env.MIN_PASSWORD_LENGTH, 10);
@@ -156,7 +159,7 @@ router.get('/', async function (req, res) {
     if (
       webSearchConfig != null &&
       (webSearchConfig.searchProvider ||
-        webSearchConfig.scraperType ||
+        webSearchConfig.scraperProvider ||
         webSearchConfig.rerankerType)
     ) {
       payload.webSearch = {};
@@ -165,8 +168,8 @@ router.get('/', async function (req, res) {
     if (webSearchConfig?.searchProvider) {
       payload.webSearch.searchProvider = webSearchConfig.searchProvider;
     }
-    if (webSearchConfig?.scraperType) {
-      payload.webSearch.scraperType = webSearchConfig.scraperType;
+    if (webSearchConfig?.scraperProvider) {
+      payload.webSearch.scraperProvider = webSearchConfig.scraperProvider;
     }
     if (webSearchConfig?.rerankerType) {
       payload.webSearch.rerankerType = webSearchConfig.rerankerType;

api/server/routes/convos.js

@@ -30,7 +30,8 @@ router.get('/', async (req, res) => {
   const cursor = req.query.cursor;
   const isArchived = isEnabled(req.query.isArchived);
   const search = req.query.search ? decodeURIComponent(req.query.search) : undefined;
-  const order = req.query.order || 'desc';
+  const sortBy = req.query.sortBy || 'createdAt';
+  const sortDirection = req.query.sortDirection || 'desc';
 
   let tags;
   if (req.query.tags) {
@@ -44,7 +45,8 @@ router.get('/', async (req, res) => {
       isArchived,
       tags,
       search,
-      order,
+      sortBy,
+      sortDirection,
     });
     res.status(200).json(result);
   } catch (error) {

api/server/routes/edit/index.js

@@ -1,19 +1,19 @@
+const { isEnabled } = require('@librechat/api');
+const { EModelEndpoint } = require('librechat-data-provider');
+const {
+  validateConvoAccess,
+  messageUserLimiter,
+  concurrentLimiter,
+  messageIpLimiter,
+  requireJwtAuth,
+  checkBan,
+  uaParser,
+} = require('~/server/middleware');
+const anthropic = require('./anthropic');
 const express = require('express');
 const openAI = require('./openAI');
 const custom = require('./custom');
 const google = require('./google');
-const anthropic = require('./anthropic');
-const { isEnabled } = require('~/server/utils');
-const { EModelEndpoint } = require('librechat-data-provider');
-const {
-  checkBan,
-  uaParser,
-  requireJwtAuth,
-  messageIpLimiter,
-  concurrentLimiter,
-  messageUserLimiter,
-  validateConvoAccess,
-} = require('~/server/middleware');
 
 const { LIMIT_CONCURRENT_MESSAGES, LIMIT_MESSAGE_IP, LIMIT_MESSAGE_USER } = process.env ?? {};
 

api/server/routes/files/files.js

@@ -1,6 +1,7 @@
 const fs = require('fs').promises;
 const express = require('express');
 const { EnvVar } = require('@librechat/agents');
+const { logger } = require('@librechat/data-schemas');
 const {
   Time,
   isUUID,
@@ -30,7 +31,6 @@ const { cleanFileName } = require('~/server/utils/files');
 const { getAssistant } = require('~/models/Assistant');
 const { getAgent } = require('~/models/Agent');
 const { getLogStores } = require('~/cache');
-const { logger } = require('~/config');
 const { Readable } = require('stream');
 
 const router = express.Router();

api/server/routes/files/speech/tts.js

@@ -1,9 +1,9 @@
 const multer = require('multer');
 const express = require('express');
+const { logger } = require('@librechat/data-schemas');
 const { CacheKeys } = require('librechat-data-provider');
 const { getVoices, streamAudio, textToSpeech } = require('~/server/services/Files/Audio');
 const { getLogStores } = require('~/cache');
-const { logger } = require('~/config');
 
 const router = express.Router();
 const upload = multer();

api/server/routes/mcp.js

@@ -65,6 +65,7 @@ router.get('/:serverName/oauth/initiate', requireJwtAuth, async (req, res) => {
       serverName,
       serverUrl,
       userId,
+      getOAuthHeaders(serverName),
       oauthConfig,
     );
 
@@ -132,7 +133,12 @@ router.get('/:serverName/oauth/callback', async (req, res) => {
     });
 
     logger.debug('[MCP OAuth] Completing OAuth flow');
-    const tokens = await MCPOAuthHandler.completeOAuthFlow(flowId, code, flowManager);
+    const tokens = await MCPOAuthHandler.completeOAuthFlow(
+      flowId,
+      code,
+      flowManager,
+      getOAuthHeaders(serverName),
+    );
     logger.info('[MCP OAuth] OAuth flow completed, tokens received in callback route');
 
     /** Persist tokens immediately so reconnection uses fresh credentials */
@@ -538,4 +544,10 @@ router.get('/:serverName/auth-values', requireJwtAuth, async (req, res) => {
   }
 });
 
+function getOAuthHeaders(serverName) {
+  const mcpManager = getMCPManager();
+  const serverConfig = mcpManager.getRawConfig(serverName);
+  return serverConfig?.oauth_headers ?? {};
+}
+
 module.exports = router;

api/server/routes/presets.js

@@ -1,8 +1,8 @@
-const express = require('express');
 const crypto = require('crypto');
+const express = require('express');
+const { logger } = require('@librechat/data-schemas');
 const { getPresets, savePreset, deletePresets } = require('~/models');
 const requireJwtAuth = require('~/server/middleware/requireJwtAuth');
-const { logger } = require('~/config');
 
 const router = express.Router();
 router.use(requireJwtAuth);

api/server/routes/search.js

@@ -1,7 +1,7 @@
 const express = require('express');
 const { MeiliSearch } = require('meilisearch');
+const { isEnabled } = require('@librechat/api');
 const requireJwtAuth = require('~/server/middleware/requireJwtAuth');
-const { isEnabled } = require('~/server/utils');
 
 const router = express.Router();
 

api/server/routes/share.js

@@ -99,7 +99,8 @@ router.get('/link/:conversationId', requireJwtAuth, async (req, res) => {
 
 router.post('/:conversationId', requireJwtAuth, async (req, res) => {
   try {
-    const created = await createSharedLink(req.user.id, req.params.conversationId);
+    const { targetMessageId } = req.body;
+    const created = await createSharedLink(req.user.id, req.params.conversationId, targetMessageId);
     if (created) {
       res.status(200).json(created);
     } else {

api/server/routes/static.js

@@ -1,7 +1,7 @@
 const express = require('express');
+const { isEnabled } = require('@librechat/api');
 const staticCache = require('../utils/staticCache');
 const paths = require('~/config/paths');
-const { isEnabled } = require('~/server/utils');
 
 const skipGzipScan = !isEnabled(process.env.ENABLE_IMAGE_OUTPUT_GZIP_SCAN);
 

api/server/routes/tokenizer.js

@@ -1,8 +1,9 @@
 const express = require('express');
-const router = express.Router();
+const { logger } = require('@librechat/data-schemas');
 const requireJwtAuth = require('~/server/middleware/requireJwtAuth');
 const { countTokens } = require('~/server/utils');
-const { logger } = require('~/config');
+
+const router = express.Router();
 
 router.post('/', requireJwtAuth, async (req, res) => {
   try {

api/server/services/AppService.interface.spec.js

@@ -1,198 +0,0 @@
-jest.mock('@librechat/data-schemas', () => ({
-  logger: {
-    info: jest.fn(),
-    warn: jest.fn(),
-    error: jest.fn(),
-  },
-}));
-
-jest.mock('@librechat/api', () => ({
-  ...jest.requireActual('@librechat/api'),
-  loadDefaultInterface: jest.fn(),
-}));
-jest.mock('./start/tools', () => ({
-  loadAndFormatTools: jest.fn().mockReturnValue({}),
-}));
-jest.mock('./start/checks', () => ({
-  checkVariables: jest.fn(),
-  checkHealth: jest.fn(),
-  checkConfig: jest.fn(),
-  checkAzureVariables: jest.fn(),
-  checkWebSearchConfig: jest.fn(),
-}));
-
-jest.mock('./Config/loadCustomConfig', () => jest.fn());
-
-const AppService = require('./AppService');
-const { loadDefaultInterface } = require('@librechat/api');
-
-describe('AppService interface configuration', () => {
-  let mockLoadCustomConfig;
-
-  beforeEach(() => {
-    jest.resetModules();
-    jest.clearAllMocks();
-    mockLoadCustomConfig = require('./Config/loadCustomConfig');
-  });
-
-  it('should set prompts and bookmarks to true when loadDefaultInterface returns true for both', async () => {
-    mockLoadCustomConfig.mockResolvedValue({});
-    loadDefaultInterface.mockResolvedValue({ prompts: true, bookmarks: true });
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.objectContaining({
-          prompts: true,
-          bookmarks: true,
-        }),
-      }),
-    );
-    expect(loadDefaultInterface).toHaveBeenCalled();
-  });
-
-  it('should set prompts and bookmarks to false when loadDefaultInterface returns false for both', async () => {
-    mockLoadCustomConfig.mockResolvedValue({ interface: { prompts: false, bookmarks: false } });
-    loadDefaultInterface.mockResolvedValue({ prompts: false, bookmarks: false });
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.objectContaining({
-          prompts: false,
-          bookmarks: false,
-        }),
-      }),
-    );
-    expect(loadDefaultInterface).toHaveBeenCalled();
-  });
-
-  it('should not set prompts and bookmarks when loadDefaultInterface returns undefined for both', async () => {
-    mockLoadCustomConfig.mockResolvedValue({});
-    loadDefaultInterface.mockResolvedValue({});
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.anything(),
-      }),
-    );
-
-    // Verify that prompts and bookmarks are undefined when not provided
-    expect(result.interfaceConfig.prompts).toBeUndefined();
-    expect(result.interfaceConfig.bookmarks).toBeUndefined();
-    expect(loadDefaultInterface).toHaveBeenCalled();
-  });
-
-  it('should set prompts and bookmarks to different values when loadDefaultInterface returns different values', async () => {
-    mockLoadCustomConfig.mockResolvedValue({ interface: { prompts: true, bookmarks: false } });
-    loadDefaultInterface.mockResolvedValue({ prompts: true, bookmarks: false });
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.objectContaining({
-          prompts: true,
-          bookmarks: false,
-        }),
-      }),
-    );
-    expect(loadDefaultInterface).toHaveBeenCalled();
-  });
-
-  it('should correctly configure peoplePicker permissions including roles', async () => {
-    mockLoadCustomConfig.mockResolvedValue({
-      interface: {
-        peoplePicker: {
-          users: true,
-          groups: true,
-          roles: true,
-        },
-      },
-    });
-    loadDefaultInterface.mockResolvedValue({
-      peoplePicker: {
-        users: true,
-        groups: true,
-        roles: true,
-      },
-    });
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.objectContaining({
-          peoplePicker: expect.objectContaining({
-            users: true,
-            groups: true,
-            roles: true,
-          }),
-        }),
-      }),
-    );
-    expect(loadDefaultInterface).toHaveBeenCalled();
-  });
-
-  it('should handle mixed peoplePicker permissions', async () => {
-    mockLoadCustomConfig.mockResolvedValue({
-      interface: {
-        peoplePicker: {
-          users: true,
-          groups: false,
-          roles: true,
-        },
-      },
-    });
-    loadDefaultInterface.mockResolvedValue({
-      peoplePicker: {
-        users: true,
-        groups: false,
-        roles: true,
-      },
-    });
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.objectContaining({
-          peoplePicker: expect.objectContaining({
-            users: true,
-            groups: false,
-            roles: true,
-          }),
-        }),
-      }),
-    );
-  });
-
-  it('should set default peoplePicker permissions when not provided', async () => {
-    mockLoadCustomConfig.mockResolvedValue({});
-    loadDefaultInterface.mockResolvedValue({
-      peoplePicker: {
-        users: true,
-        groups: true,
-        roles: true,
-      },
-    });
-
-    const result = await AppService();
-
-    expect(result).toEqual(
-      expect.objectContaining({
-        interfaceConfig: expect.objectContaining({
-          peoplePicker: expect.objectContaining({
-            users: true,
-            groups: true,
-            roles: true,
-          }),
-        }),
-      }),
-    );
-  });
-});

api/server/services/Config/app.js

@@ -1,11 +1,25 @@
-const { logger } = require('@librechat/data-schemas');
 const { CacheKeys } = require('librechat-data-provider');
-const AppService = require('~/server/services/AppService');
+const { logger, AppService } = require('@librechat/data-schemas');
+const { loadAndFormatTools } = require('~/server/services/start/tools');
+const loadCustomConfig = require('./loadCustomConfig');
 const { setCachedTools } = require('./getCachedTools');
 const getLogStores = require('~/cache/getLogStores');
+const paths = require('~/config/paths');
 
 const BASE_CONFIG_KEY = '_BASE_';
 
+const loadBaseConfig = async () => {
+  /** @type {TCustomConfig} */
+  const config = (await loadCustomConfig()) ?? {};
+  /** @type {Record<string, FunctionTool>} */
+  const systemTools = loadAndFormatTools({
+    adminFilter: config.filteredTools,
+    adminIncluded: config.includedTools,
+    directory: paths.structuredTools,
+  });
+  return AppService({ config, paths, systemTools });
+};
+
 /**
  * Get the app configuration based on user context
  * @param {Object} [options]
@@ -29,7 +43,7 @@ async function getAppConfig(options = {}) {
   let baseConfig = await cache.get(BASE_CONFIG_KEY);
   if (!baseConfig) {
     logger.info('[getAppConfig] App configuration not initialized. Initializing AppService...');
-    baseConfig = await AppService();
+    baseConfig = await loadBaseConfig();
 
     if (!baseConfig) {
       throw new Error('Failed to initialize app configuration through AppService.');

api/server/services/Config/handleRateLimits.js

@@ -1,48 +0,0 @@
-const { RateLimitPrefix } = require('librechat-data-provider');
-
-/**
- *
- * @param {TCustomConfig['rateLimits'] | undefined} rateLimits
- */
-const handleRateLimits = (rateLimits) => {
-  if (!rateLimits) {
-    return;
-  }
-
-  const rateLimitKeys = {
-    fileUploads: RateLimitPrefix.FILE_UPLOAD,
-    conversationsImport: RateLimitPrefix.IMPORT,
-    tts: RateLimitPrefix.TTS,
-    stt: RateLimitPrefix.STT,
-  };
-
-  Object.entries(rateLimitKeys).forEach(([key, prefix]) => {
-    const rateLimit = rateLimits[key];
-    if (rateLimit) {
-      setRateLimitEnvVars(prefix, rateLimit);
-    }
-  });
-};
-
-/**
- * Set environment variables for rate limit configurations
- *
- * @param {string} prefix - Prefix for environment variable names
- * @param {object} rateLimit - Rate limit configuration object
- */
-const setRateLimitEnvVars = (prefix, rateLimit) => {
-  const envVarsMapping = {
-    ipMax: `${prefix}_IP_MAX`,
-    ipWindowInMinutes: `${prefix}_IP_WINDOW`,
-    userMax: `${prefix}_USER_MAX`,
-    userWindowInMinutes: `${prefix}_USER_WINDOW`,
-  };
-
-  Object.entries(envVarsMapping).forEach(([key, envVar]) => {
-    if (rateLimit[key] !== undefined) {
-      process.env[envVar] = rateLimit[key];
-    }
-  });
-};
-
-module.exports = handleRateLimits;

api/server/services/Config/ldap.js

@@ -1,4 +1,4 @@
-const { isEnabled } = require('~/server/utils');
+const { isEnabled } = require('@librechat/api');
 
 /** @returns {TStartupConfig['ldap'] | undefined} */
 const getLdapConfig = () => {

api/server/services/Config/loadConfigModels.js

@@ -85,7 +85,9 @@ async function loadConfigModels(req) {
     }
 
     if (Array.isArray(models.default)) {
-      modelsConfig[name] = models.default;
+      modelsConfig[name] = models.default.map((model) =>
+        typeof model === 'string' ? model : model.name,
+      );
     }
   }
 

api/server/services/Config/loadConfigModels.spec.js

@@ -254,8 +254,8 @@ describe('loadConfigModels', () => {
     // For groq and ollama, since the apiKey is "user_provided", models should not be fetched
     // Depending on your implementation's behavior regarding "default" models without fetching,
     // you may need to adjust the following assertions:
-    expect(result.groq).toBe(exampleConfig.endpoints.custom[2].models.default);
-    expect(result.ollama).toBe(exampleConfig.endpoints.custom[3].models.default);
+    expect(result.groq).toEqual(exampleConfig.endpoints.custom[2].models.default);
+    expect(result.ollama).toEqual(exampleConfig.endpoints.custom[3].models.default);
 
     // Verifying fetchModels was not called for groq and ollama
     expect(fetchModels).not.toHaveBeenCalledWith(

api/server/services/Config/loadCustomConfig.js

@@ -5,14 +5,12 @@ const keyBy = require('lodash/keyBy');
 const { loadYaml } = require('@librechat/api');
 const { logger } = require('@librechat/data-schemas');
 const {
-  CacheKeys,
   configSchema,
   paramSettings,
   EImageOutputType,
   agentParamSettings,
   validateSettingDefinitions,
 } = require('librechat-data-provider');
-const getLogStores = require('~/cache/getLogStores');
 
 const projectRoot = path.resolve(__dirname, '..', '..', '..', '..');
 const defaultConfigPath = path.resolve(projectRoot, 'librechat.yaml');
@@ -119,7 +117,6 @@ https://www.librechat.ai/docs/configuration/stt_tts`);
     .filter((endpoint) => endpoint.customParams)
     .forEach((endpoint) => parseCustomParams(endpoint.name, endpoint.customParams));
 
-
   if (result.data.modelSpecs) {
     customConfig.modelSpecs = result.data.modelSpecs;
   }

api/server/services/Endpoints/agents/agent.js

@@ -143,7 +143,7 @@ const initializeAgent = async ({
   const agentMaxContextTokens = optionalChainWithEmptyCheck(
     maxContextTokens,
     getModelMaxTokens(tokensModel, providerEndpointMap[provider], options.endpointTokenConfig),
-    4096,
+    18000,
   );
 
   if (

api/server/services/Endpoints/anthropic/title.js

@@ -1,6 +1,6 @@
+const { isEnabled } = require('@librechat/api');
 const { CacheKeys } = require('librechat-data-provider');
 const getLogStores = require('~/cache/getLogStores');
-const { isEnabled } = require('~/server/utils');
 const { saveConvo } = require('~/models');
 
 const addTitle = async (req, { text, response, client }) => {