⚙️ feat: Adjust Rate of Stream Progress (#3244)

* chore: bump data-provider and add MESSAGES CacheKey

* refactor: avoid saving messages while streaming, save partial text to cache instead

* fix(ci): processChunks

* chore: logging aborted request to debug

* feat: set stream rate for token processing

* chore: specify default stream rate

* fix(ci): Update AppService.js to use optional chaining for endpointLocals assignment

* refactor: abstract the error handler

* feat: streamRate for assistants; refactor: update default rate for token

* refactor: update error handling in assistants/errors.js

* refactor: update error handling in assistants/errors.js

api/app/clients/AnthropicClient.js

@@ -2,8 +2,9 @@ const Anthropic = require('@anthropic-ai/sdk');
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
 const {
-  getResponseSender,
+  Constants,
   EModelEndpoint,
+  getResponseSender,
   validateVisionModel,
 } = require('librechat-data-provider');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
@@ -16,6 +17,7 @@ const {
 } = require('./prompts');
 const spendTokens = require('~/models/spendTokens');
 const { getModelMaxTokens } = require('~/utils');
+const { sleep } = require('~/server/utils');
 const BaseClient = require('./BaseClient');
 const { logger } = require('~/config');
 
@@ -605,6 +607,7 @@ class AnthropicClient extends BaseClient {
     };
 
     const maxRetries = 3;
+    const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
     async function processResponse() {
       let attempts = 0;
 
@@ -627,6 +630,8 @@ class AnthropicClient extends BaseClient {
             } else if (completion.completion) {
               handleChunk(completion.completion);
             }
+
+            await sleep(streamRate);
           }
 
           // Successful processing, exit loop

api/app/clients/BaseClient.js

@@ -1,10 +1,11 @@
 const crypto = require('crypto');
 const fetch = require('node-fetch');
-const { supportsBalanceCheck, Constants } = require('librechat-data-provider');
+const { supportsBalanceCheck, Constants, CacheKeys, Time } = require('librechat-data-provider');
 const { getMessages, saveMessage, updateMessage, saveConvo } = require('~/models');
 const { addSpaceIfNeeded, isEnabled } = require('~/server/utils');
 const checkBalance = require('~/models/checkBalance');
 const { getFiles } = require('~/models/File');
+const { getLogStores } = require('~/cache');
 const TextStream = require('./TextStream');
 const { logger } = require('~/config');
 
@@ -540,6 +541,15 @@ class BaseClient {
       await this.recordTokenUsage({ promptTokens, completionTokens });
     }
     this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    messageCache.set(
+      responseMessageId,
+      {
+        text: responseMessage.text,
+        complete: true,
+      },
+      Time.FIVE_MINUTES,
+    );
     delete responseMessage.tokenCount;
     return responseMessage;
   }

api/app/clients/GoogleClient.js

@@ -13,10 +13,12 @@ const {
   endpointSettings,
   EModelEndpoint,
   VisionModes,
+  Constants,
   AuthKeys,
 } = require('librechat-data-provider');
 const { encodeAndFormat } = require('~/server/services/Files/images');
 const { getModelMaxTokens } = require('~/utils');
+const { sleep } = require('~/server/utils');
 const { logger } = require('~/config');
 const {
   formatMessage,
@@ -620,8 +622,9 @@ class GoogleClient extends BaseClient {
   }
 
   async getCompletion(_payload, options = {}) {
-    const { onProgress, abortController } = options;
     const { parameters, instances } = _payload;
+    const { onProgress, abortController } = options;
+    const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
     const { messages: _messages, context, examples: _examples } = instances?.[0] ?? {};
 
     let examples;
@@ -701,6 +704,7 @@ class GoogleClient extends BaseClient {
           delay,
         });
         reply += chunkText;
+        await sleep(streamRate);
       }
       return reply;
     }
@@ -712,10 +716,17 @@ class GoogleClient extends BaseClient {
       safetySettings: safetySettings,
     });
 
-    let delay = this.isGenerativeModel ? 12 : 8;
+    let delay = this.options.streamRate || 8;
+
+    if (!this.options.streamRate) {
+      if (this.isGenerativeModel) {
+        delay = 12;
+      }
       if (modelName.includes('flash')) {
         delay = 5;
       }
+    }
+
     for await (const chunk of stream) {
       const chunkText = chunk?.content ?? chunk;
       await this.generateTextStream(chunkText, onProgress, {

api/app/clients/OllamaClient.js

@@ -1,7 +1,9 @@
 const { z } = require('zod');
 const axios = require('axios');
 const { Ollama } = require('ollama');
+const { Constants } = require('librechat-data-provider');
 const { deriveBaseURL } = require('~/utils');
+const { sleep } = require('~/server/utils');
 const { logger } = require('~/config');
 
 const ollamaPayloadSchema = z.object({
@@ -40,6 +42,7 @@ const getValidBase64 = (imageUrl) => {
 class OllamaClient {
   constructor(options = {}) {
     const host = deriveBaseURL(options.baseURL ?? 'http://localhost:11434');
+    this.streamRate = options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
     /** @type {Ollama} */
     this.client = new Ollama({ host });
   }
@@ -136,6 +139,8 @@ class OllamaClient {
           stream.controller.abort();
           break;
         }
+
+        await sleep(this.streamRate);
       }
     }
     // TODO: regular completion

api/app/clients/OpenAIClient.js

@@ -1182,8 +1182,10 @@ ${convo}
         });
       }
 
+      const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
+
       if (this.message_file_map && this.isOllama) {
-        const ollamaClient = new OllamaClient({ baseURL });
+        const ollamaClient = new OllamaClient({ baseURL, streamRate });
         return await ollamaClient.chatCompletion({
           payload: modelOptions,
           onProgress,
@@ -1221,8 +1223,6 @@ ${convo}
             }
           });
 
-        const azureDelay = this.modelOptions.model?.includes('gpt-4') ? 30 : 17;
-
         for await (const chunk of stream) {
           const token = chunk.choices[0]?.delta?.content || '';
           intermediateReply += token;
@@ -1232,9 +1232,7 @@ ${convo}
             break;
           }
 
-          if (this.azure) {
+          await sleep(streamRate);
-            await sleep(azureDelay);
-          }
         }
 
         if (!UnexpectedRoleError) {

api/app/clients/PluginsClient.js

@@ -1,5 +1,6 @@
 const OpenAIClient = require('./OpenAIClient');
 const { CallbackManager } = require('langchain/callbacks');
+const { CacheKeys, Time } = require('librechat-data-provider');
 const { BufferMemory, ChatMessageHistory } = require('langchain/memory');
 const { initializeCustomAgent, initializeFunctionsAgent } = require('./agents');
 const { addImages, buildErrorInput, buildPromptPrefix } = require('./output_parsers');
@@ -11,6 +12,7 @@ const { SelfReflectionTool } = require('./tools');
 const { isEnabled } = require('~/server/utils');
 const { extractBaseURL } = require('~/utils');
 const { loadTools } = require('./tools/util');
+const { getLogStores } = require('~/cache');
 const { logger } = require('~/config');
 
 class PluginsClient extends OpenAIClient {
@@ -220,6 +222,13 @@ class PluginsClient extends OpenAIClient {
     }
   }
 
+  /**
+   *
+   * @param {TMessage} responseMessage
+   * @param {Partial<TMessage>} saveOptions
+   * @param {string} user
+   * @returns
+   */
   async handleResponseMessage(responseMessage, saveOptions, user) {
     const { output, errorMessage, ...result } = this.result;
     logger.debug('[PluginsClient][handleResponseMessage] Output:', {
@@ -239,6 +248,15 @@ class PluginsClient extends OpenAIClient {
     }
 
     this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    messageCache.set(
+      responseMessage.messageId,
+      {
+        text: responseMessage.text,
+        complete: true,
+      },
+      Time.FIVE_MINUTES,
+    );
     delete responseMessage.tokenCount;
     return { ...responseMessage, ...result };
   }

api/cache/getLogStores.js

@@ -1,13 +1,11 @@
 const Keyv = require('keyv');
-const { CacheKeys, ViolationTypes } = require('librechat-data-provider');
+const { CacheKeys, ViolationTypes, Time } = require('librechat-data-provider');
 const { logFile, violationFile } = require('./keyvFiles');
 const { math, isEnabled } = require('~/server/utils');
 const keyvRedis = require('./keyvRedis');
 const keyvMongo = require('./keyvMongo');
 
 const { BAN_DURATION, USE_REDIS } = process.env ?? {};
-const THIRTY_MINUTES = 1800000;
-const TEN_MINUTES = 600000;
 
 const duration = math(BAN_DURATION, 7200000);
 
@@ -29,17 +27,21 @@ const roles = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis })
   : new Keyv({ namespace: CacheKeys.ROLES });
 
-const audioRuns = isEnabled(USE_REDIS) // ttl: 30 minutes
+const audioRuns = isEnabled(USE_REDIS)
-  ? new Keyv({ store: keyvRedis, ttl: TEN_MINUTES })
+  ? new Keyv({ store: keyvRedis, ttl: Time.TEN_MINUTES })
-  : new Keyv({ namespace: CacheKeys.AUDIO_RUNS, ttl: TEN_MINUTES });
+  : new Keyv({ namespace: CacheKeys.AUDIO_RUNS, ttl: Time.TEN_MINUTES });
+
+const messages = isEnabled(USE_REDIS)
+  ? new Keyv({ store: keyvRedis, ttl: Time.FIVE_MINUTES })
+  : new Keyv({ namespace: CacheKeys.MESSAGES, ttl: Time.FIVE_MINUTES });
 
 const tokenConfig = isEnabled(USE_REDIS) // ttl: 30 minutes
-  ? new Keyv({ store: keyvRedis, ttl: THIRTY_MINUTES })
+  ? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
-  : new Keyv({ namespace: CacheKeys.TOKEN_CONFIG, ttl: THIRTY_MINUTES });
+  : new Keyv({ namespace: CacheKeys.TOKEN_CONFIG, ttl: Time.THIRTY_MINUTES });
 
 const genTitle = isEnabled(USE_REDIS) // ttl: 2 minutes
-  ? new Keyv({ store: keyvRedis, ttl: 120000 })
+  ? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
-  : new Keyv({ namespace: CacheKeys.GEN_TITLE, ttl: 120000 });
+  : new Keyv({ namespace: CacheKeys.GEN_TITLE, ttl: Time.TWO_MINUTES });
 
 const modelQueries = isEnabled(process.env.USE_REDIS)
   ? new Keyv({ store: keyvRedis })
@@ -47,7 +49,7 @@ const modelQueries = isEnabled(process.env.USE_REDIS)
 
 const abortKeys = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis })
-  : new Keyv({ namespace: CacheKeys.ABORT_KEYS, ttl: 600000 });
+  : new Keyv({ namespace: CacheKeys.ABORT_KEYS, ttl: Time.TEN_MINUTES });
 
 const namespaces = {
   [CacheKeys.ROLES]: roles,
@@ -81,6 +83,7 @@ const namespaces = {
   [CacheKeys.GEN_TITLE]: genTitle,
   [CacheKeys.MODEL_QUERIES]: modelQueries,
   [CacheKeys.AUDIO_RUNS]: audioRuns,
+  [CacheKeys.MESSAGES]: messages,
 };
 
 /**

api/server/controllers/AskController.js

@@ -1,7 +1,8 @@
 const throttle = require('lodash/throttle');
-const { getResponseSender, Constants, EModelEndpoint } = require('librechat-data-provider');
+const { getResponseSender, Constants, CacheKeys, Time } = require('librechat-data-provider');
 const { createAbortController, handleAbortError } = require('~/server/middleware');
 const { sendMessage, createOnProgress } = require('~/server/utils');
+const { getLogStores } = require('~/cache');
 const { saveMessage } = require('~/models');
 const { logger } = require('~/config');
 
@@ -51,11 +52,13 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
 
   try {
     const { client } = await initializeClient({ req, res, endpointOption });
-    const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
     const { onProgress: progressCallback, getPartialText } = createOnProgress({
       onProgress: throttle(
         ({ text: partialText }) => {
-          saveMessage(req, {
+          /*
+              const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
+          messageCache.set(responseMessageId, {
             messageId: responseMessageId,
             sender,
             conversationId,
@@ -65,7 +68,10 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
             unfinished,
             error: false,
             user,
-          });
+          }, Time.FIVE_MINUTES);
+          */
+
+          messageCache.set(responseMessageId, partialText, Time.FIVE_MINUTES);
         },
         3000,
         { trailing: false },

api/server/controllers/EditController.js

@@ -1,7 +1,8 @@
 const throttle = require('lodash/throttle');
-const { getResponseSender, EModelEndpoint } = require('librechat-data-provider');
+const { getResponseSender, CacheKeys, Time } = require('librechat-data-provider');
 const { createAbortController, handleAbortError } = require('~/server/middleware');
 const { sendMessage, createOnProgress } = require('~/server/utils');
+const { getLogStores } = require('~/cache');
 const { saveMessage } = require('~/models');
 const { logger } = require('~/config');
 
@@ -51,12 +52,14 @@ const EditController = async (req, res, next, initializeClient) => {
     }
   };
 
-  const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
+  const messageCache = getLogStores(CacheKeys.MESSAGES);
   const { onProgress: progressCallback, getPartialText } = createOnProgress({
     generation,
     onProgress: throttle(
       ({ text: partialText }) => {
-        saveMessage(req, {
+        /*
+          const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
+        {
           messageId: responseMessageId,
           sender,
           conversationId,
@@ -67,7 +70,8 @@ const EditController = async (req, res, next, initializeClient) => {
           isEdited: true,
           error: false,
           user,
-        });
+        } */
+        messageCache.set(responseMessageId, partialText, Time.FIVE_MINUTES);
       },
       3000,
       { trailing: false },

api/server/controllers/assistants/chatV2.js

@@ -1,12 +1,12 @@
 const { v4 } = require('uuid');
 const {
+  Time,
   Constants,
   RunStatus,
   CacheKeys,
   ContentTypes,
   ToolCallTypes,
   EModelEndpoint,
-  ViolationTypes,
   retrievalMimeTypes,
   AssistantStreamEvents,
 } = require('librechat-data-provider');
@@ -14,12 +14,12 @@ const {
   initThread,
   recordUsage,
   saveUserMessage,
-  checkMessageGaps,
   addThreadMetadata,
   saveAssistantMessage,
 } = require('~/server/services/Threads');
-const { sendResponse, sendMessage, sleep, isEnabled, countTokens } = require('~/server/utils');
 const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
+const { sendMessage, sleep, isEnabled, countTokens } = require('~/server/utils');
+const { createErrorHandler } = require('~/server/controllers/assistants/errors');
 const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
 const { createRun, StreamRunManager } = require('~/server/services/Runs');
 const { addTitle } = require('~/server/services/Endpoints/assistants');
@@ -44,7 +44,7 @@ const ten_minutes = 1000 * 60 * 10;
 const chatV2 = async (req, res) => {
   logger.debug('[/assistants/chat/] req.body', req.body);
 
-  /** @type {{ files: MongoFile[]}} */
+  /** @type {{files: MongoFile[]}} */
   const {
     text,
     model,
@@ -90,140 +90,20 @@ const chatV2 = async (req, res) => {
   /** @type {Run | undefined} - The completed run, undefined if incomplete */
   let completedRun;
 
-  const handleError = async (error) => {
+  const getContext = () => ({
-    const defaultErrorMessage =
-      'The Assistant run failed to initialize. Try sending a message in a new conversation.';
-    const messageData = {
-      thread_id,
-      assistant_id,
-      conversationId,
-      parentMessageId,
-      sender: 'System',
-      user: req.user.id,
-      shouldSaveMessage: false,
-      messageId: responseMessageId,
-      endpoint,
-    };
-
-    if (error.message === 'Run cancelled') {
-      return res.end();
-    } else if (error.message === 'Request closed' && completedRun) {
-      return;
-    } else if (error.message === 'Request closed') {
-      logger.debug('[/assistants/chat/] Request aborted on close');
-    } else if (/Files.*are invalid/.test(error.message)) {
-      const errorMessage = `Files are invalid, or may not have uploaded yet.${
-        endpoint === EModelEndpoint.azureAssistants
-          ? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
-          : ''
-      }`;
-      return sendResponse(req, res, messageData, errorMessage);
-    } else if (error?.message?.includes('string too long')) {
-      return sendResponse(
-        req,
-        res,
-        messageData,
-        'Message too long. The Assistants API has a limit of 32,768 characters per message. Please shorten it and try again.',
-      );
-    } else if (error?.message?.includes(ViolationTypes.TOKEN_BALANCE)) {
-      return sendResponse(req, res, messageData, error.message);
-    } else {
-      logger.error('[/assistants/chat/]', error);
-    }
-
-    if (!openai || !thread_id || !run_id) {
-      return sendResponse(req, res, messageData, defaultErrorMessage);
-    }
-
-    await sleep(2000);
-
-    try {
-      const status = await cache.get(cacheKey);
-      if (status === 'cancelled') {
-        logger.debug('[/assistants/chat/] Run already cancelled');
-        return res.end();
-      }
-      await cache.delete(cacheKey);
-      const cancelledRun = await openai.beta.threads.runs.cancel(thread_id, run_id);
-      logger.debug('[/assistants/chat/] Cancelled run:', cancelledRun);
-    } catch (error) {
-      logger.error('[/assistants/chat/] Error cancelling run', error);
-    }
-
-    await sleep(2000);
-
-    let run;
-    try {
-      run = await openai.beta.threads.runs.retrieve(thread_id, run_id);
-      await recordUsage({
-        ...run.usage,
-        model: run.model,
-        user: req.user.id,
-        conversationId,
-      });
-    } catch (error) {
-      logger.error('[/assistants/chat/] Error fetching or processing run', error);
-    }
-
-    let finalEvent;
-    try {
-      const runMessages = await checkMessageGaps({
     openai,
     run_id,
     endpoint,
+    cacheKey,
     thread_id,
+    completedRun,
+    assistant_id,
     conversationId,
-        latestMessageId: responseMessageId,
+    parentMessageId,
+    responseMessageId,
   });
 
-      const errorContentPart = {
+  const handleError = createErrorHandler({ req, res, getContext });
-        text: {
-          value:
-            error?.message ?? 'There was an error processing your request. Please try again later.',
-        },
-        type: ContentTypes.ERROR,
-      };
-
-      if (!Array.isArray(runMessages[runMessages.length - 1]?.content)) {
-        runMessages[runMessages.length - 1].content = [errorContentPart];
-      } else {
-        const contentParts = runMessages[runMessages.length - 1].content;
-        for (let i = 0; i < contentParts.length; i++) {
-          const currentPart = contentParts[i];
-          /** @type {CodeToolCall | RetrievalToolCall | FunctionToolCall | undefined} */
-          const toolCall = currentPart?.[ContentTypes.TOOL_CALL];
-          if (
-            toolCall &&
-            toolCall?.function &&
-            !(toolCall?.function?.output || toolCall?.function?.output?.length)
-          ) {
-            contentParts[i] = {
-              ...currentPart,
-              [ContentTypes.TOOL_CALL]: {
-                ...toolCall,
-                function: {
-                  ...toolCall.function,
-                  output: 'error processing tool',
-                },
-              },
-            };
-          }
-        }
-        runMessages[runMessages.length - 1].content.push(errorContentPart);
-      }
-
-      finalEvent = {
-        final: true,
-        conversation: await getConvo(req.user.id, conversationId),
-        runMessages,
-      };
-    } catch (error) {
-      logger.error('[/assistants/chat/] Error finalizing error process', error);
-      return sendResponse(req, res, messageData, 'The Assistant run failed');
-    }
-
-    return sendResponse(req, res, finalEvent);
-  };
 
   try {
     res.on('close', async () => {
@@ -490,6 +370,11 @@ const chatV2 = async (req, res) => {
         },
       };
 
+      /** @type {undefined | TAssistantEndpoint} */
+      const config = req.app.locals[endpoint] ?? {};
+      /** @type {undefined | TBaseEndpoint} */
+      const allConfig = req.app.locals.all;
+
       const streamRunManager = new StreamRunManager({
         req,
         res,
@@ -499,6 +384,7 @@ const chatV2 = async (req, res) => {
         attachedFileIds,
         parentMessageId: userMessageId,
         responseMessage: openai.responseMessage,
+        streamRate: allConfig?.streamRate ?? config.streamRate,
         // streamOptions: {
 
         // },
@@ -511,6 +397,16 @@ const chatV2 = async (req, res) => {
 
       response = streamRunManager;
       response.text = streamRunManager.intermediateText;
+
+      const messageCache = getLogStores(CacheKeys.MESSAGES);
+      messageCache.set(
+        responseMessageId,
+        {
+          complete: true,
+          text: response.text,
+        },
+        Time.FIVE_MINUTES,
+      );
     };
 
     await processRun();

api/server/controllers/assistants/errors.js

@@ -0,0 +1,193 @@
+// errorHandler.js
+const { sendResponse } = require('~/server/utils');
+const { logger } = require('~/config');
+const getLogStores = require('~/cache/getLogStores');
+const { CacheKeys, ViolationTypes, ContentTypes } = require('librechat-data-provider');
+const { getConvo } = require('~/models/Conversation');
+const { recordUsage, checkMessageGaps } = require('~/server/services/Threads');
+
+/**
+ * @typedef {Object} ErrorHandlerContext
+ * @property {OpenAIClient} openai - The OpenAI client
+ * @property {string} thread_id - The thread ID
+ * @property {string} run_id - The run ID
+ * @property {boolean} completedRun - Whether the run has completed
+ * @property {string} assistant_id - The assistant ID
+ * @property {string} conversationId - The conversation ID
+ * @property {string} parentMessageId - The parent message ID
+ * @property {string} responseMessageId - The response message ID
+ * @property {string} endpoint - The endpoint being used
+ * @property {string} cacheKey - The cache key for the current request
+ */
+
+/**
+ * @typedef {Object} ErrorHandlerDependencies
+ * @property {Express.Request} req - The Express request object
+ * @property {Express.Response} res - The Express response object
+ * @property {() => ErrorHandlerContext} getContext - Function to get the current context
+ * @property {string} [originPath] - The origin path for the error handler
+ */
+
+/**
+ * Creates an error handler function with the given dependencies
+ * @param {ErrorHandlerDependencies} dependencies - The dependencies for the error handler
+ * @returns {(error: Error) => Promise<void>} The error handler function
+ */
+const createErrorHandler = ({ req, res, getContext, originPath = '/assistants/chat/' }) => {
+  const cache = getLogStores(CacheKeys.ABORT_KEYS);
+
+  /**
+   * Handles errors that occur during the chat process
+   * @param {Error} error - The error that occurred
+   * @returns {Promise<void>}
+   */
+  return async (error) => {
+    const {
+      openai,
+      run_id,
+      endpoint,
+      cacheKey,
+      thread_id,
+      completedRun,
+      assistant_id,
+      conversationId,
+      parentMessageId,
+      responseMessageId,
+    } = getContext();
+
+    const defaultErrorMessage =
+      'The Assistant run failed to initialize. Try sending a message in a new conversation.';
+    const messageData = {
+      thread_id,
+      assistant_id,
+      conversationId,
+      parentMessageId,
+      sender: 'System',
+      user: req.user.id,
+      shouldSaveMessage: false,
+      messageId: responseMessageId,
+      endpoint,
+    };
+
+    if (error.message === 'Run cancelled') {
+      return res.end();
+    } else if (error.message === 'Request closed' && completedRun) {
+      return;
+    } else if (error.message === 'Request closed') {
+      logger.debug(`[${originPath}] Request aborted on close`);
+    } else if (/Files.*are invalid/.test(error.message)) {
+      const errorMessage = `Files are invalid, or may not have uploaded yet.${
+        endpoint === 'azureAssistants'
+          ? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
+          : ''
+      }`;
+      return sendResponse(req, res, messageData, errorMessage);
+    } else if (error?.message?.includes('string too long')) {
+      return sendResponse(
+        req,
+        res,
+        messageData,
+        'Message too long. The Assistants API has a limit of 32,768 characters per message. Please shorten it and try again.',
+      );
+    } else if (error?.message?.includes(ViolationTypes.TOKEN_BALANCE)) {
+      return sendResponse(req, res, messageData, error.message);
+    } else {
+      logger.error(`[${originPath}]`, error);
+    }
+
+    if (!openai || !thread_id || !run_id) {
+      return sendResponse(req, res, messageData, defaultErrorMessage);
+    }
+
+    await new Promise((resolve) => setTimeout(resolve, 2000));
+
+    try {
+      const status = await cache.get(cacheKey);
+      if (status === 'cancelled') {
+        logger.debug(`[${originPath}] Run already cancelled`);
+        return res.end();
+      }
+      await cache.delete(cacheKey);
+      const cancelledRun = await openai.beta.threads.runs.cancel(thread_id, run_id);
+      logger.debug(`[${originPath}] Cancelled run:`, cancelledRun);
+    } catch (error) {
+      logger.error(`[${originPath}] Error cancelling run`, error);
+    }
+
+    await new Promise((resolve) => setTimeout(resolve, 2000));
+
+    let run;
+    try {
+      run = await openai.beta.threads.runs.retrieve(thread_id, run_id);
+      await recordUsage({
+        ...run.usage,
+        model: run.model,
+        user: req.user.id,
+        conversationId,
+      });
+    } catch (error) {
+      logger.error(`[${originPath}] Error fetching or processing run`, error);
+    }
+
+    let finalEvent;
+    try {
+      const runMessages = await checkMessageGaps({
+        openai,
+        run_id,
+        endpoint,
+        thread_id,
+        conversationId,
+        latestMessageId: responseMessageId,
+      });
+
+      const errorContentPart = {
+        text: {
+          value:
+            error?.message ?? 'There was an error processing your request. Please try again later.',
+        },
+        type: ContentTypes.ERROR,
+      };
+
+      if (!Array.isArray(runMessages[runMessages.length - 1]?.content)) {
+        runMessages[runMessages.length - 1].content = [errorContentPart];
+      } else {
+        const contentParts = runMessages[runMessages.length - 1].content;
+        for (let i = 0; i < contentParts.length; i++) {
+          const currentPart = contentParts[i];
+          /** @type {CodeToolCall | RetrievalToolCall | FunctionToolCall | undefined} */
+          const toolCall = currentPart?.[ContentTypes.TOOL_CALL];
+          if (
+            toolCall &&
+            toolCall?.function &&
+            !(toolCall?.function?.output || toolCall?.function?.output?.length)
+          ) {
+            contentParts[i] = {
+              ...currentPart,
+              [ContentTypes.TOOL_CALL]: {
+                ...toolCall,
+                function: {
+                  ...toolCall.function,
+                  output: 'error processing tool',
+                },
+              },
+            };
+          }
+        }
+        runMessages[runMessages.length - 1].content.push(errorContentPart);
+      }
+
+      finalEvent = {
+        final: true,
+        conversation: await getConvo(req.user.id, conversationId),
+        runMessages,
+      };
+    } catch (error) {
+      logger.error(`[${originPath}] Error finalizing error process`, error);
+      return sendResponse(req, res, messageData, 'The Assistant run failed');
+    }
+
+    return sendResponse(req, res, finalEvent);
+  };
+};
+
+module.exports = { createErrorHandler };

api/server/middleware/abortMiddleware.js

@@ -30,7 +30,10 @@ async function abortMessage(req, res) {
     return res.status(204).send({ message: 'Request not found' });
   }
   const finalEvent = await abortController.abortCompletion();
-  logger.info('[abortMessage] Aborted request', { abortKey });
+  logger.debug(
+    `[abortMessage] ID: ${req.user.id} | ${req.user.email} | Aborted request: ` +
+      JSON.stringify({ abortKey }),
+  );
   abortControllers.delete(abortKey);
 
   if (res.headersSent && finalEvent) {

api/server/routes/ask/gptPlugins.js

@@ -1,10 +1,11 @@
 const express = require('express');
 const throttle = require('lodash/throttle');
-const { getResponseSender, Constants } = require('librechat-data-provider');
+const { getResponseSender, Constants, CacheKeys, Time } = require('librechat-data-provider');
 const { initializeClient } = require('~/server/services/Endpoints/gptPlugins');
 const { sendMessage, createOnProgress } = require('~/server/utils');
 const { addTitle } = require('~/server/services/Endpoints/openAI');
 const { saveMessage } = require('~/models');
+const { getLogStores } = require('~/cache');
 const {
   handleAbort,
   createAbortController,
@@ -71,7 +72,8 @@ router.post(
       }
     };
 
-    const throttledSaveMessage = throttle(saveMessage, 3000, { trailing: false });
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    const throttledSetMessage = throttle(messageCache.set, 3000, { trailing: false });
     let streaming = null;
     let timer = null;
 
@@ -85,7 +87,8 @@ router.post(
           clearTimeout(timer);
         }
 
-        throttledSaveMessage(req, {
+        /*
+        {
           messageId: responseMessageId,
           sender,
           conversationId,
@@ -96,7 +99,9 @@ router.post(
           error: false,
           plugins,
           user,
-        });
+        }
+         */
+        throttledSetMessage(responseMessageId, partialText, Time.FIVE_MINUTES);
 
         streaming = new Promise((resolve) => {
           timer = setTimeout(() => {

api/server/routes/edit/gptPlugins.js

@@ -1,19 +1,20 @@
 const express = require('express');
 const throttle = require('lodash/throttle');
-const { getResponseSender } = require('librechat-data-provider');
+const { getResponseSender, CacheKeys, Time } = require('librechat-data-provider');
 const {
-  handleAbort,
-  createAbortController,
-  handleAbortError,
   setHeaders,
+  handleAbort,
+  moderateText,
   validateModel,
+  handleAbortError,
   validateEndpoint,
   buildEndpointOption,
-  moderateText,
+  createAbortController,
 } = require('~/server/middleware');
 const { sendMessage, createOnProgress, formatSteps, formatAction } = require('~/server/utils');
 const { initializeClient } = require('~/server/services/Endpoints/gptPlugins');
 const { saveMessage } = require('~/models');
+const { getLogStores } = require('~/cache');
 const { validateTools } = require('~/app');
 const { logger } = require('~/config');
 
@@ -79,7 +80,8 @@ router.post(
       }
     };
 
-    const throttledSaveMessage = throttle(saveMessage, 3000, { trailing: false });
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    const throttledSetMessage = throttle(messageCache.set, 3000, { trailing: false });
     const {
       onProgress: progressCallback,
       sendIntermediateMessage,
@@ -91,7 +93,8 @@ router.post(
           plugin.loading = false;
         }
 
-        throttledSaveMessage(req, {
+        /*
+        {
           messageId: responseMessageId,
           sender,
           conversationId,
@@ -102,7 +105,9 @@ router.post(
           isEdited: true,
           error: false,
           user,
-        });
+        }
+        */
+        throttledSetMessage(responseMessageId, partialText, Time.FIVE_MINUTES);
       },
     });
 

api/server/services/AppService.js

@@ -67,17 +67,18 @@ const AppService = async (app) => {
   handleRateLimits(config?.rateLimits);
 
   const endpointLocals = {};
+  const endpoints = config?.endpoints;
 
-  if (config?.endpoints?.[EModelEndpoint.azureOpenAI]) {
+  if (endpoints?.[EModelEndpoint.azureOpenAI]) {
     endpointLocals[EModelEndpoint.azureOpenAI] = azureConfigSetup(config);
     checkAzureVariables();
   }
 
-  if (config?.endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
+  if (endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
     endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
   }
 
-  if (config?.endpoints?.[EModelEndpoint.azureAssistants]) {
+  if (endpoints?.[EModelEndpoint.azureAssistants]) {
     endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
       config,
       EModelEndpoint.azureAssistants,
@@ -85,7 +86,7 @@ const AppService = async (app) => {
     );
   }
 
-  if (config?.endpoints?.[EModelEndpoint.assistants]) {
+  if (endpoints?.[EModelEndpoint.assistants]) {
     endpointLocals[EModelEndpoint.assistants] = assistantsConfigSetup(
       config,
       EModelEndpoint.assistants,
@@ -93,6 +94,19 @@ const AppService = async (app) => {
     );
   }
 
+  if (endpoints?.[EModelEndpoint.openAI]) {
+    endpointLocals[EModelEndpoint.openAI] = endpoints[EModelEndpoint.openAI];
+  }
+  if (endpoints?.[EModelEndpoint.google]) {
+    endpointLocals[EModelEndpoint.google] = endpoints[EModelEndpoint.google];
+  }
+  if (endpoints?.[EModelEndpoint.anthropic]) {
+    endpointLocals[EModelEndpoint.anthropic] = endpoints[EModelEndpoint.anthropic];
+  }
+  if (endpoints?.[EModelEndpoint.gptPlugins]) {
+    endpointLocals[EModelEndpoint.gptPlugins] = endpoints[EModelEndpoint.gptPlugins];
+  }
+
   app.locals = {
     ...defaultLocals,
     modelSpecs: config.modelSpecs,

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

@@ -19,11 +19,27 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     checkUserKeyExpiry(expiresAt, EModelEndpoint.anthropic);
   }
 
+  const clientOptions = {};
+
+  /** @type {undefined | TBaseEndpoint} */
+  const anthropicConfig = req.app.locals[EModelEndpoint.anthropic];
+
+  if (anthropicConfig) {
+    clientOptions.streamRate = anthropicConfig.streamRate;
+  }
+
+  /** @type {undefined | TBaseEndpoint} */
+  const allConfig = req.app.locals.all;
+  if (allConfig) {
+    clientOptions.streamRate = allConfig.streamRate;
+  }
+
   const client = new AnthropicClient(anthropicApiKey, {
     req,
     res,
     reverseProxyUrl: ANTHROPIC_REVERSE_PROXY ?? null,
     proxy: PROXY ?? null,
+    ...clientOptions,
     ...endpointOption,
   });
 

api/server/services/Endpoints/custom/initializeClient.js

@@ -114,9 +114,16 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     contextStrategy: endpointConfig.summarize ? 'summarize' : null,
     directEndpoint: endpointConfig.directEndpoint,
     titleMessageRole: endpointConfig.titleMessageRole,
+    streamRate: endpointConfig.streamRate,
     endpointTokenConfig,
   };
 
+  /** @type {undefined | TBaseEndpoint} */
+  const allConfig = req.app.locals.all;
+  if (allConfig) {
+    customOptions.streamRate = allConfig.streamRate;
+  }
+
   const clientOptions = {
     reverseProxyUrl: baseURL ?? null,
     proxy: PROXY ?? null,

api/server/services/Endpoints/google/initializeClient.js

@@ -27,11 +27,27 @@ const initializeClient = async ({ req, res, endpointOption }) => {
       [AuthKeys.GOOGLE_API_KEY]: GOOGLE_KEY,
     };
 
+  const clientOptions = {};
+
+  /** @type {undefined | TBaseEndpoint} */
+  const allConfig = req.app.locals.all;
+  /** @type {undefined | TBaseEndpoint} */
+  const googleConfig = req.app.locals[EModelEndpoint.google];
+
+  if (googleConfig) {
+    clientOptions.streamRate = googleConfig.streamRate;
+  }
+
+  if (allConfig) {
+    clientOptions.streamRate = allConfig.streamRate;
+  }
+
   const client = new GoogleClient(credentials, {
     req,
     res,
     reverseProxyUrl: GOOGLE_REVERSE_PROXY ?? null,
     proxy: PROXY ?? null,
+    ...clientOptions,
     ...endpointOption,
   });
 

api/server/services/Endpoints/google/initializeClient.spec.js

@@ -8,6 +8,8 @@ jest.mock('~/server/services/UserService', () => ({
   getUserKey: jest.fn().mockImplementation(() => ({})),
 }));
 
+const app = { locals: {} };
+
 describe('google/initializeClient', () => {
   afterEach(() => {
     jest.clearAllMocks();
@@ -23,6 +25,7 @@ describe('google/initializeClient', () => {
     const req = {
       body: { key: expiresAt },
       user: { id: '123' },
+      app,
     };
     const res = {};
     const endpointOption = { modelOptions: { model: 'default-model' } };
@@ -44,6 +47,7 @@ describe('google/initializeClient', () => {
     const req = {
       body: { key: null },
       user: { id: '123' },
+      app,
     };
     const res = {};
     const endpointOption = { modelOptions: { model: 'default-model' } };
@@ -66,6 +70,7 @@ describe('google/initializeClient', () => {
     const req = {
       body: { key: expiresAt },
       user: { id: '123' },
+      app,
     };
     const res = {};
     const endpointOption = { modelOptions: { model: 'default-model' } };

api/server/services/Endpoints/gptPlugins/initializeClient.js

@@ -86,6 +86,9 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     clientOptions.titleModel = azureConfig.titleModel;
     clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
 
+    const azureRate = modelName.includes('gpt-4') ? 30 : 17;
+    clientOptions.streamRate = azureConfig.streamRate ?? azureRate;
+
     const groupName = modelGroupMap[modelName].group;
     clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
     clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
@@ -98,6 +101,19 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     apiKey = clientOptions.azure.azureOpenAIApiKey;
   }
 
+  /** @type {undefined | TBaseEndpoint} */
+  const pluginsConfig = req.app.locals[EModelEndpoint.gptPlugins];
+
+  if (!useAzure && pluginsConfig) {
+    clientOptions.streamRate = pluginsConfig.streamRate;
+  }
+
+  /** @type {undefined | TBaseEndpoint} */
+  const allConfig = req.app.locals.all;
+  if (allConfig) {
+    clientOptions.streamRate = allConfig.streamRate;
+  }
+
   if (!apiKey) {
     throw new Error(`${endpoint} API key not provided. Please provide it again.`);
   }

api/server/services/Endpoints/openAI/initializeClient.js

@@ -76,6 +76,10 @@ const initializeClient = async ({ req, res, endpointOption }) => {
 
     clientOptions.titleConvo = azureConfig.titleConvo;
     clientOptions.titleModel = azureConfig.titleModel;
+
+    const azureRate = modelName.includes('gpt-4') ? 30 : 17;
+    clientOptions.streamRate = azureConfig.streamRate ?? azureRate;
+
     clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
 
     const groupName = modelGroupMap[modelName].group;
@@ -90,6 +94,19 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     apiKey = clientOptions.azure.azureOpenAIApiKey;
   }
 
+  /** @type {undefined | TBaseEndpoint} */
+  const openAIConfig = req.app.locals[EModelEndpoint.openAI];
+
+  if (!isAzureOpenAI && openAIConfig) {
+    clientOptions.streamRate = openAIConfig.streamRate;
+  }
+
+  /** @type {undefined | TBaseEndpoint} */
+  const allConfig = req.app.locals.all;
+  if (allConfig) {
+    clientOptions.streamRate = allConfig.streamRate;
+  }
+
   if (userProvidesKey & !apiKey) {
     throw new Error(
       JSON.stringify({

api/server/services/Files/Audio/streamAudio.js

@@ -1,5 +1,6 @@
 const WebSocket = require('ws');
-const { Message } = require('~/models/Message');
+const { CacheKeys } = require('librechat-data-provider');
+const { getLogStores } = require('~/cache');
 
 /**
  * @param {string[]} voiceIds - Array of voice IDs
@@ -104,6 +105,8 @@ function createChunkProcessor(messageId) {
     throw new Error('Message ID is required');
   }
 
+  const messageCache = getLogStores(CacheKeys.MESSAGES);
+
   /**
    * @returns {Promise<{ text: string, isFinished: boolean }[] | string>}
    */
@@ -116,14 +119,17 @@ function createChunkProcessor(messageId) {
       return `No change in message after ${MAX_NO_CHANGE_COUNT} attempts`;
     }
 
-    const message = await Message.findOne({ messageId }, 'text unfinished').lean();
+    /** @type { string | { text: string; complete: boolean } } */
+    const message = await messageCache.get(messageId);
 
-    if (!message || !message.text) {
+    if (!message) {
       notFoundCount++;
       return [];
     }
 
-    const { text, unfinished } = message;
+    const text = typeof message === 'string' ? message : message.text;
+    const complete = typeof message === 'string' ? false : message.complete;
+
     if (text === processedText) {
       noChangeCount++;
     }
@@ -131,7 +137,7 @@ function createChunkProcessor(messageId) {
     const remainingText = text.slice(processedText.length);
     const chunks = [];
 
-    if (unfinished && remainingText.length >= 20) {
+    if (!complete && remainingText.length >= 20) {
       const separatorIndex = findLastSeparatorIndex(remainingText);
       if (separatorIndex !== -1) {
         const chunkText = remainingText.slice(0, separatorIndex + 1);
@@ -141,7 +147,7 @@ function createChunkProcessor(messageId) {
         chunks.push({ text: remainingText, isFinished: false });
         processedText = text;
       }
-    } else if (!unfinished && remainingText.trim().length > 0) {
+    } else if (complete && remainingText.trim().length > 0) {
       chunks.push({ text: remainingText.trim(), isFinished: true });
       processedText = text;
     }

api/server/services/Files/Audio/streamAudio.spec.js

@@ -1,89 +1,145 @@
 const { createChunkProcessor, splitTextIntoChunks } = require('./streamAudio');
-const { Message } = require('~/models/Message');
 
-jest.mock('~/models/Message', () => ({
+jest.mock('keyv');
-  Message: {
+
-    findOne: jest.fn().mockReturnValue({
+const globalCache = {};
-      lean: jest.fn(),
+jest.mock('~/cache/getLogStores', () => {
-    }),
+  return jest.fn().mockImplementation(() => {
-  },
+    const EventEmitter = require('events');
-}));
+    const { CacheKeys } = require('librechat-data-provider');
+
+    class KeyvMongo extends EventEmitter {
+      constructor(url = 'mongodb://127.0.0.1:27017', options) {
+        super();
+        this.ttlSupport = false;
+        url = url ?? {};
+        if (typeof url === 'string') {
+          url = { url };
+        }
+        if (url.uri) {
+          url = { url: url.uri, ...url };
+        }
+        this.opts = {
+          url,
+          collection: 'keyv',
+          ...url,
+          ...options,
+        };
+      }
+
+      get = async (key) => {
+        return new Promise((resolve) => {
+          resolve(globalCache[key] || null);
+        });
+      };
+
+      set = async (key, value) => {
+        return new Promise((resolve) => {
+          globalCache[key] = value;
+          resolve(true);
+        });
+      };
+    }
+
+    return new KeyvMongo('', {
+      namespace: CacheKeys.MESSAGES,
+      ttl: 0,
+    });
+  });
+});
 
 describe('processChunks', () => {
   let processChunks;
+  let mockMessageCache;
 
   beforeEach(() => {
+    jest.resetAllMocks();
+    mockMessageCache = {
+      get: jest.fn(),
+    };
+    require('~/cache/getLogStores').mockReturnValue(mockMessageCache);
     processChunks = createChunkProcessor('message-id');
-    Message.findOne.mockClear();
-    Message.findOne().lean.mockClear();
   });
 
   it('should return an empty array when the message is not found', async () => {
-    Message.findOne().lean.mockResolvedValueOnce(null);
+    mockMessageCache.get.mockResolvedValueOnce(null);
 
     const result = await processChunks();
 
     expect(result).toEqual([]);
-    expect(Message.findOne).toHaveBeenCalledWith({ messageId: 'message-id' }, 'text unfinished');
+    expect(mockMessageCache.get).toHaveBeenCalledWith('message-id');
-    expect(Message.findOne().lean).toHaveBeenCalled();
   });
 
-  it('should return an empty array when the message does not have a text property', async () => {
+  it('should return an error message after MAX_NOT_FOUND_COUNT attempts', async () => {
-    Message.findOne().lean.mockResolvedValueOnce({ unfinished: true });
+    mockMessageCache.get.mockResolvedValue(null);
 
+    for (let i = 0; i < 6; i++) {
+      await processChunks();
+    }
     const result = await processChunks();
 
-    expect(result).toEqual([]);
+    expect(result).toBe('Message not found after 6 attempts');
-    expect(Message.findOne).toHaveBeenCalledWith({ messageId: 'message-id' }, 'text unfinished');
-    expect(Message.findOne().lean).toHaveBeenCalled();
   });
 
-  it('should return chunks for an unfinished message with separators', async () => {
+  it('should return chunks for an incomplete message with separators', async () => {
     const messageText = 'This is a long message. It should be split into chunks. Lol hi mom';
-    Message.findOne().lean.mockResolvedValueOnce({ text: messageText, unfinished: true });
+    mockMessageCache.get.mockResolvedValueOnce({ text: messageText, complete: false });
 
     const result = await processChunks();
 
     expect(result).toEqual([
       { text: 'This is a long message. It should be split into chunks.', isFinished: false },
     ]);
-    expect(Message.findOne).toHaveBeenCalledWith({ messageId: 'message-id' }, 'text unfinished');
-    expect(Message.findOne().lean).toHaveBeenCalled();
   });
 
-  it('should return chunks for an unfinished message without separators', async () => {
+  it('should return chunks for an incomplete message without separators', async () => {
     const messageText = 'This is a long message without separators hello there my friend';
-    Message.findOne().lean.mockResolvedValueOnce({ text: messageText, unfinished: true });
+    mockMessageCache.get.mockResolvedValueOnce({ text: messageText, complete: false });
 
     const result = await processChunks();
 
     expect(result).toEqual([{ text: messageText, isFinished: false }]);
-    expect(Message.findOne).toHaveBeenCalledWith({ messageId: 'message-id' }, 'text unfinished');
-    expect(Message.findOne().lean).toHaveBeenCalled();
   });
 
-  it('should return the remaining text as a chunk for a finished message', async () => {
+  it('should return the remaining text as a chunk for a complete message', async () => {
     const messageText = 'This is a finished message.';
-    Message.findOne().lean.mockResolvedValueOnce({ text: messageText, unfinished: false });
+    mockMessageCache.get.mockResolvedValueOnce({ text: messageText, complete: true });
 
     const result = await processChunks();
 
     expect(result).toEqual([{ text: messageText, isFinished: true }]);
-    expect(Message.findOne).toHaveBeenCalledWith({ messageId: 'message-id' }, 'text unfinished');
-    expect(Message.findOne().lean).toHaveBeenCalled();
   });
 
-  it('should return an empty array for a finished message with no remaining text', async () => {
+  it('should return an empty array for a complete message with no remaining text', async () => {
     const messageText = 'This is a finished message.';
-    Message.findOne().lean.mockResolvedValueOnce({ text: messageText, unfinished: false });
+    mockMessageCache.get.mockResolvedValueOnce({ text: messageText, complete: true });
 
     await processChunks();
-    Message.findOne().lean.mockResolvedValueOnce({ text: messageText, unfinished: false });
+    mockMessageCache.get.mockResolvedValueOnce({ text: messageText, complete: true });
     const result = await processChunks();
 
     expect(result).toEqual([]);
-    expect(Message.findOne).toHaveBeenCalledWith({ messageId: 'message-id' }, 'text unfinished');
+  });
-    expect(Message.findOne().lean).toHaveBeenCalledTimes(2);
+
+  it('should return an error message after MAX_NO_CHANGE_COUNT attempts with no change', async () => {
+    const messageText = 'This is a message that does not change.';
+    mockMessageCache.get.mockResolvedValue({ text: messageText, complete: false });
+
+    for (let i = 0; i < 11; i++) {
+      await processChunks();
+    }
+    const result = await processChunks();
+
+    expect(result).toBe('No change in message after 10 attempts');
+  });
+
+  it('should handle string messages as incomplete', async () => {
+    const messageText = 'This is a message as a string.';
+    mockMessageCache.get.mockResolvedValueOnce(messageText);
+
+    const result = await processChunks();
+
+    expect(result).toEqual([{ text: messageText, isFinished: false }]);
   });
 });
 

api/server/services/Runs/StreamRunManager.js

@@ -1,17 +1,19 @@
 const throttle = require('lodash/throttle');
 const {
+  Time,
+  CacheKeys,
   StepTypes,
   ContentTypes,
   ToolCallTypes,
-  // StepStatus,
   MessageContentTypes,
   AssistantStreamEvents,
+  Constants,
 } = require('librechat-data-provider');
 const { retrieveAndProcessFile } = require('~/server/services/Files/process');
 const { processRequiredActions } = require('~/server/services/ToolService');
-const { saveMessage, updateMessageText } = require('~/models/Message');
+const { createOnProgress, sendMessage, sleep } = require('~/server/utils');
-const { createOnProgress, sendMessage } = require('~/server/utils');
 const { processMessages } = require('~/server/services/Threads');
+const { getLogStores } = require('~/cache');
 const { logger } = require('~/config');
 
 /**
@@ -68,8 +70,8 @@ class StreamRunManager {
     this.attachedFileIds = fields.attachedFileIds;
     /** @type {undefined | Promise<ChatCompletion>} */
     this.visionPromise = fields.visionPromise;
-    /** @type {boolean} */
+    /** @type {number} */
-    this.savedInitialMessage = false;
+    this.streamRate = fields.streamRate ?? Constants.DEFAULT_STREAM_RATE;
 
     /**
      * @type {Object.<AssistantStreamEvents, (event: AssistantStreamEvent) => Promise<void>>}
@@ -139,11 +141,11 @@ class StreamRunManager {
     return this.intermediateText;
   }
 
-  /** Saves the initial intermediate message
+  /** Returns the current, intermediate message
-   * @returns {Promise<void>}
+   * @returns {TMessage}
    */
-  async saveInitialMessage() {
+  getIntermediateMessage() {
-    return saveMessage(this.req, {
+    return {
       conversationId: this.finalMessage.conversationId,
       messageId: this.finalMessage.messageId,
       parentMessageId: this.parentMessageId,
@@ -155,7 +157,7 @@ class StreamRunManager {
       sender: 'Assistant',
       unfinished: true,
       error: false,
-    });
+    };
   }
 
   /* <------------------ Main Event Handlers ------------------> */
@@ -347,6 +349,8 @@ class StreamRunManager {
           type: ContentTypes.TOOL_CALL,
           index,
         });
+
+        await sleep(this.streamRate);
       }
     };
 
@@ -444,6 +448,7 @@ class StreamRunManager {
     if (content && content.type === MessageContentTypes.TEXT) {
       this.intermediateText += content.text.value;
       onProgress(content.text.value);
+      await sleep(this.streamRate);
     }
   }
 
@@ -589,21 +594,14 @@ class StreamRunManager {
       const index = this.getStepIndex(stepKey);
       this.orderedRunSteps.set(index, message_creation);
 
+      const messageCache = getLogStores(CacheKeys.MESSAGES);
       // Create the Factory Function to stream the message
       const { onProgress: progressCallback } = createOnProgress({
         onProgress: throttle(
           () => {
-            if (!this.savedInitialMessage) {
+            messageCache.set(this.finalMessage.messageId, this.getText(), Time.FIVE_MINUTES);
-              this.saveInitialMessage();
-              this.savedInitialMessage = true;
-            } else {
-              updateMessageText({
-                messageId: this.finalMessage.messageId,
-                text: this.getText(),
-              });
-            }
           },
-          2000,
+          3000,
           { trailing: false },
         ),
       });

api/server/services/start/assistants.js

@@ -51,6 +51,7 @@ function assistantsConfigSetup(config, assistantsEndpoint, prevConfig = {}) {
     excludedIds: parsedConfig.excludedIds,
     privateAssistants: parsedConfig.privateAssistants,
     timeoutMs: parsedConfig.timeoutMs,
+    streamRate: parsedConfig.streamRate,
   };
 }
 

api/typedefs.js

@@ -465,6 +465,12 @@
  * @memberof typedefs
  */
 
+/**
+ * @exports TBaseEndpoint
+ * @typedef {import('librechat-data-provider').TBaseEndpoint} TBaseEndpoint
+ * @memberof typedefs
+ */
+
 /**
  * @exports TEndpoint
  * @typedef {import('librechat-data-provider').TEndpoint} TEndpoint

package-lock.json

@@ -29437,7 +29437,7 @@
     },
     "packages/data-provider": {
       "name": "librechat-data-provider",
-      "version": "0.7.1",
+      "version": "0.7.2",
       "license": "ISC",
       "dependencies": {
         "@types/js-yaml": "^4.0.9",

packages/data-provider/package.json

@@ -1,6 +1,6 @@
 {
   "name": "librechat-data-provider",
-  "version": "0.7.1",
+  "version": "0.7.2",
   "description": "data services for librechat apps",
   "main": "dist/index.js",
   "module": "dist/index.es.js",

packages/data-provider/src/config.ts

@@ -136,7 +136,14 @@ export const defaultAssistantsVersion = {
   [EModelEndpoint.azureAssistants]: 1,
 };
 
-export const assistantEndpointSchema = z.object({
+export const baseEndpointSchema = z.object({
+  streamRate: z.number().optional(),
+});
+
+export type TBaseEndpoint = z.infer<typeof baseEndpointSchema>;
+
+export const assistantEndpointSchema = baseEndpointSchema.merge(
+  z.object({
     /* assistants specific */
     disableBuilder: z.boolean().optional(),
     pollIntervalMs: z.number().optional(),
@@ -170,11 +177,13 @@ export const assistantEndpointSchema = z.object({
     titleMethod: z.union([z.literal('completion'), z.literal('functions')]).optional(),
     titleModel: z.string().optional(),
     headers: z.record(z.any()).optional(),
-});
+  }),
+);
 
 export type TAssistantEndpoint = z.infer<typeof assistantEndpointSchema>;
 
-export const endpointSchema = z.object({
+export const endpointSchema = baseEndpointSchema.merge(
+  z.object({
     name: z.string().refine((value) => !eModelEndpointSchema.safeParse(value).success, {
       message: `Value cannot be one of the default endpoint (EModelEndpoint) values: ${Object.values(
         EModelEndpoint,
@@ -200,7 +209,8 @@ export const endpointSchema = z.object({
     customOrder: z.number().optional(),
     directEndpoint: z.boolean().optional(),
     titleMessageRole: z.string().optional(),
-});
+  }),
+);
 
 export type TEndpoint = z.infer<typeof endpointSchema>;
 
@@ -213,6 +223,7 @@ export const azureEndpointSchema = z
   .and(
     endpointSchema
       .pick({
+        streamRate: true,
         titleConvo: true,
         titleMethod: true,
         titleModel: true,
@@ -426,10 +437,15 @@ export const configSchema = z.object({
   modelSpecs: specsConfigSchema.optional(),
   endpoints: z
     .object({
+      all: baseEndpointSchema.optional(),
+      [EModelEndpoint.openAI]: baseEndpointSchema.optional(),
+      [EModelEndpoint.google]: baseEndpointSchema.optional(),
+      [EModelEndpoint.anthropic]: baseEndpointSchema.optional(),
+      [EModelEndpoint.gptPlugins]: baseEndpointSchema.optional(),
       [EModelEndpoint.azureOpenAI]: azureEndpointSchema.optional(),
       [EModelEndpoint.azureAssistants]: assistantEndpointSchema.optional(),
       [EModelEndpoint.assistants]: assistantEndpointSchema.optional(),
-      custom: z.array(endpointSchema.partial()).optional(),
+      [EModelEndpoint.custom]: z.array(endpointSchema.partial()).optional(),
     })
     .strict()
     .refine((data) => Object.keys(data).length > 0, {
@@ -657,6 +673,16 @@ export enum InfiniteCollections {
   SHARED_LINKS = 'sharedLinks',
 }
 
+/**
+ * Enum for time intervals
+ */
+export enum Time {
+  THIRTY_MINUTES = 1800000,
+  TEN_MINUTES = 600000,
+  FIVE_MINUTES = 300000,
+  TWO_MINUTES = 120000,
+}
+
 /**
  * Enum for cache keys.
  */
@@ -727,6 +753,10 @@ export enum CacheKeys {
    * Key for the cached audio run Ids.
    */
   AUDIO_RUNS = 'audioRuns',
+  /**
+   * Key for in-progress messages.
+   */
+  MESSAGES = 'messages',
 }
 
 /**
@@ -911,6 +941,8 @@ export enum Constants {
   COMMON_DIVIDER = '__',
   /** Max length for commands */
   COMMANDS_MAX_LENGTH = 56,
+  /** Default Stream Rate (ms) */
+  DEFAULT_STREAM_RATE = 1,
 }
 
 export enum LocalStorageKeys {