Merge branch 'main' into feat/user-groups

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

.env.example

@@ -175,7 +175,7 @@ GOOGLE_KEY=user_provided
 #============#
 
 OPENAI_API_KEY=user_provided
-# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,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=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
 
 DEBUG_OPENAI=false
 
@@ -248,6 +248,13 @@ AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
 # DALLE3_AZURE_API_VERSION=
 # DALLE2_AZURE_API_VERSION=
 
+# Flux
+#-----------------
+FLUX_API_BASE_URL=https://api.us1.bfl.ai
+# FLUX_API_BASE_URL = 'https://api.bfl.ml';
+
+# Get your API key at https://api.us1.bfl.ai/auth/profile
+# FLUX_API_KEY=
 
 # Google
 #-----------------
@@ -466,6 +473,15 @@ FIREBASE_STORAGE_BUCKET=
 FIREBASE_MESSAGING_SENDER_ID=
 FIREBASE_APP_ID=
 
+#========================#
+# S3 AWS Bucket          #
+#========================#
+
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
+AWS_REGION=
+AWS_BUCKET_NAME=
+
 #========================#
 # Shared Links           #
 #========================#

.github/workflows/backend-review.yml

@@ -39,6 +39,9 @@ jobs:
       - name: Install MCP Package
         run: npm run build:mcp
 
+      - name: Install Data Schemas Package
+        run: npm run build:data-schemas
+
       - name: Create empty auth.json file
         run: |
           mkdir -p api/data
@@ -61,4 +64,7 @@ jobs:
         run: cd api && npm run test:ci
 
       - name: Run librechat-data-provider unit tests
-        run: cd packages/data-provider && npm run test:ci
+        run: cd packages/data-provider && npm run test:ci
+
+      - name: Run librechat-mcp unit tests
+        run: cd packages/mcp && npm run test:ci

.github/workflows/data-schemas.yml

@@ -0,0 +1,58 @@
+name: Publish `@librechat/data-schemas` to NPM
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'packages/data-schemas/package.json'
+  workflow_dispatch:
+    inputs:
+      reason:
+        description: 'Reason for manual trigger'
+        required: false
+        default: 'Manual publish requested'
+
+jobs:
+  build-and-publish:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      
+      - name: Use Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '18.x'
+          
+      - name: Install dependencies
+        run: cd packages/data-schemas && npm ci
+        
+      - name: Build
+        run: cd packages/data-schemas && npm run build
+        
+      - name: Set up npm authentication
+        run: echo "//registry.npmjs.org/:_authToken=${{ secrets.PUBLISH_NPM_TOKEN }}" > ~/.npmrc
+        
+      - name: Check version change
+        id: check
+        working-directory: packages/data-schemas
+        run: |
+          PACKAGE_VERSION=$(node -p "require('./package.json').version")
+          PUBLISHED_VERSION=$(npm view @librechat/data-schemas version 2>/dev/null || echo "0.0.0")
+          if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
+            echo "No version change, skipping publish"
+            echo "skip=true" >> $GITHUB_OUTPUT
+          else
+            echo "Version changed, proceeding with publish"
+            echo "skip=false" >> $GITHUB_OUTPUT
+          fi
+            
+      - name: Pack package
+        if: steps.check.outputs.skip != 'true'
+        working-directory: packages/data-schemas
+        run: npm pack
+        
+      - name: Publish
+        if: steps.check.outputs.skip != 'true'
+        working-directory: packages/data-schemas
+        run: npm publish *.tgz --access public

.github/workflows/generate-release-changelog-pr.yml

@@ -84,11 +84,11 @@ jobs:
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
           sign-commits: true
-          commit-message: "chore: update CHANGELOG for release ${GITHUB_REF##*/}"
+          commit-message: "chore: update CHANGELOG for release ${{ github.ref_name }}"
           base: main
-          branch: "changelog/${GITHUB_REF##*/}"
+          branch: "changelog/${{ github.ref_name }}"
           reviewers: danny-avila
-          title: "chore: update CHANGELOG for release ${GITHUB_REF##*/}"
+          title: "chore: update CHANGELOG for release ${{ github.ref_name }}"
           body: |
             **Description**:
-            - This PR updates the CHANGELOG.md by removing the "Unreleased" section and adding new release notes for release ${GITHUB_REF##*/} above previous releases.
+            - This PR updates the CHANGELOG.md by removing the "Unreleased" section and adding new release notes for release ${{ github.ref_name }} above previous releases.

CHANGELOG.md

@@ -0,0 +1,16 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+## [Unreleased]
+
+### ✨ New Features
+
+- 🪄 feat: Agent Artifacts by **@danny-avila** in [#5804](https://github.com/danny-avila/LibreChat/pull/5804)
+
+### ⚙️ Other Changes
+
+- 🔄 chore: Enforce 18next Language Keys by **@rubentalstra** in [#5803](https://github.com/danny-avila/LibreChat/pull/5803)
+- 🔃 refactor: Parent Message ID Handling on Error, Update Translations, Bump Agents by **@danny-avila** in [#5833](https://github.com/danny-avila/LibreChat/pull/5833)
+
+---

Dockerfile

@@ -1,4 +1,4 @@
-# v0.7.7-rc1
+# v0.7.7
 
 # Base node image
 FROM node:20-alpine AS node

Dockerfile.multi

@@ -1,5 +1,5 @@
 # Dockerfile.multi
-# v0.7.7-rc1
+# v0.7.7
 
 # Base for all builds
 FROM node:20-alpine AS base-min
@@ -11,6 +11,7 @@ RUN npm config set fetch-retry-maxtimeout 600000 && \
 COPY package*.json ./
 COPY packages/data-provider/package*.json ./packages/data-provider/
 COPY packages/mcp/package*.json ./packages/mcp/
+COPY packages/data-schemas/package*.json ./packages/data-schemas/
 COPY client/package*.json ./client/
 COPY api/package*.json ./api/
 
@@ -32,6 +33,13 @@ COPY packages/mcp ./
 COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
 RUN npm run build
 
+# Build data-schemas
+FROM base AS data-schemas-build
+WORKDIR /app/packages/data-schemas
+COPY packages/data-schemas ./
+COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
+RUN npm run build
+
 # Client build
 FROM base AS client-build
 WORKDIR /app/client
@@ -49,8 +57,9 @@ COPY api ./api
 COPY config ./config
 COPY --from=data-provider-build /app/packages/data-provider/dist ./packages/data-provider/dist
 COPY --from=mcp-build /app/packages/mcp/dist ./packages/mcp/dist
+COPY --from=data-schemas-build /app/packages/data-schemas/dist ./packages/data-schemas/dist
 COPY --from=client-build /app/client/dist ./client/dist
 WORKDIR /app/api
 EXPOSE 3080
 ENV HOST=0.0.0.0
-CMD ["node", "server/index.js"]
+CMD ["node", "server/index.js"]

README.md

@@ -81,7 +81,7 @@
   - [Fork Messages & Conversations](https://www.librechat.ai/docs/features/fork) for Advanced Context control
 
 - 💬 **Multimodal & File Interactions**:  
-  - Upload and analyze images with Claude 3, GPT-4o, o1, Llama-Vision, and Gemini 📸  
+  - Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸  
   - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
 
 - 🌎 **Multilingual UI**:  
@@ -197,6 +197,6 @@ We thank [Locize](https://locize.com) for their translation management tools tha
 
 <p align="center">
   <a href="https://locize.com" target="_blank" rel="noopener noreferrer">
-    <img src="https://locize.com/img/locize_color.svg" alt="Locize Logo" height="50">
+    <img src="https://github.com/user-attachments/assets/d6b70894-6064-475e-bb65-92a9e23e0077" alt="Locize Logo" height="50">
   </a>
 </p>

api/app/clients/AnthropicClient.js

@@ -746,15 +746,6 @@ class AnthropicClient extends BaseClient {
       metadata,
     };
 
-    if (!/claude-3[-.]7/.test(model)) {
-      if (top_p !== undefined) {
-        requestOptions.top_p = top_p;
-      }
-      if (top_k !== undefined) {
-        requestOptions.top_k = top_k;
-      }
-    }
-
     if (this.useMessages) {
       requestOptions.messages = payload;
       requestOptions.max_tokens =
@@ -769,6 +760,14 @@ class AnthropicClient extends BaseClient {
       thinkingBudget: this.options.thinkingBudget,
     });
 
+    if (!/claude-3[-.]7/.test(model)) {
+      requestOptions.top_p = top_p;
+      requestOptions.top_k = top_k;
+    } else if (requestOptions.thinking == null) {
+      requestOptions.topP = top_p;
+      requestOptions.topK = top_k;
+    }
+
     if (this.systemMessage && this.supportsCacheControl === true) {
       requestOptions.system = [
         {

api/app/clients/BaseClient.js

@@ -5,6 +5,7 @@ const {
   isAgentsEndpoint,
   isParamEndpoint,
   EModelEndpoint,
+  ContentTypes,
   excludedKeys,
   ErrorTypes,
   Constants,
@@ -365,17 +366,14 @@ class BaseClient {
    *  context: TMessage[],
    *  remainingContextTokens: number,
    *  messagesToRefine: TMessage[],
-   *  summaryIndex: number,
-   * }>} An object with four properties: `context`, `summaryIndex`, `remainingContextTokens`, and `messagesToRefine`.
+   * }>} An object with three properties: `context`, `remainingContextTokens`, and `messagesToRefine`.
    *    `context` is an array of messages that fit within the token limit.
-   *    `summaryIndex` is the index of the first message in the `messagesToRefine` array.
    *    `remainingContextTokens` is the number of tokens remaining within the limit after adding the messages to the context.
    *    `messagesToRefine` is an array of messages that were not added to the context because they would have exceeded the token limit.
    */
   async getMessagesWithinTokenLimit({ messages: _messages, maxContextTokens, instructions }) {
     // Every reply is primed with <|start|>assistant<|message|>, so we
     // start with 3 tokens for the label after all messages have been counted.
-    let summaryIndex = -1;
     let currentTokenCount = 3;
     const instructionsTokenCount = instructions?.tokenCount ?? 0;
     let remainingContextTokens =
@@ -408,14 +406,12 @@ class BaseClient {
     }
 
     const prunedMemory = messages;
-    summaryIndex = prunedMemory.length - 1;
     remainingContextTokens -= currentTokenCount;
 
     return {
       context: context.reverse(),
       remainingContextTokens,
       messagesToRefine: prunedMemory,
-      summaryIndex,
     };
   }
 
@@ -458,7 +454,7 @@ class BaseClient {
 
     let orderedWithInstructions = this.addInstructions(orderedMessages, instructions);
 
-    let { context, remainingContextTokens, messagesToRefine, summaryIndex } =
+    let { context, remainingContextTokens, messagesToRefine } =
       await this.getMessagesWithinTokenLimit({
         messages: orderedWithInstructions,
         instructions,
@@ -528,7 +524,7 @@ class BaseClient {
     }
 
     // Make sure to only continue summarization logic if the summary message was generated
-    shouldSummarize = summaryMessage && shouldSummarize;
+    shouldSummarize = summaryMessage != null && shouldSummarize === true;
 
     logger.debug('[BaseClient] Context Count (2/2)', {
       remainingContextTokens,
@@ -538,17 +534,18 @@ class BaseClient {
     /** @type {Record<string, number> | undefined} */
     let tokenCountMap;
     if (buildTokenMap) {
-      tokenCountMap = orderedWithInstructions.reduce((map, message, index) => {
+      const currentPayload = shouldSummarize ? orderedWithInstructions : context;
+      tokenCountMap = currentPayload.reduce((map, message, index) => {
         const { messageId } = message;
         if (!messageId) {
           return map;
         }
 
-        if (shouldSummarize && index === summaryIndex && !usePrevSummary) {
+        if (shouldSummarize && index === messagesToRefine.length - 1 && !usePrevSummary) {
           map.summaryMessage = { ...summaryMessage, messageId, tokenCount: summaryTokenCount };
         }
 
-        map[messageId] = orderedWithInstructions[index].tokenCount;
+        map[messageId] = currentPayload[index].tokenCount;
         return map;
       }, {});
     }
@@ -1021,11 +1018,17 @@ class BaseClient {
     const processValue = (value) => {
       if (Array.isArray(value)) {
         for (let item of value) {
-          if (!item || !item.type || item.type === 'image_url') {
+          if (
+            !item ||
+            !item.type ||
+            item.type === ContentTypes.THINK ||
+            item.type === ContentTypes.ERROR ||
+            item.type === ContentTypes.IMAGE_URL
+          ) {
             continue;
           }
 
-          if (item.type === 'tool_call' && item.tool_call != null) {
+          if (item.type === ContentTypes.TOOL_CALL && item.tool_call != null) {
             const toolName = item.tool_call?.name || '';
             if (toolName != null && toolName && typeof toolName === 'string') {
               numTokens += this.getTokenCount(toolName);
@@ -1121,9 +1124,13 @@ class BaseClient {
         return message;
       }
 
-      const files = await getFiles({
-        file_id: { $in: fileIds },
-      });
+      const files = await getFiles(
+        {
+          file_id: { $in: fileIds },
+        },
+        {},
+        {},
+      );
 
       await this.addImageURLs(message, files, this.visionMode);
 

api/app/clients/GoogleClient.js

@@ -827,7 +827,8 @@ class GoogleClient extends BaseClient {
     let reply = '';
     const { abortController } = options;
 
-    const model = this.modelOptions.modelName ?? this.modelOptions.model ?? '';
+    const model =
+      this.options.titleModel ?? this.modelOptions.modelName ?? this.modelOptions.model ?? '';
     const safetySettings = getSafetySettings(model);
     if (!EXCLUDED_GENAI_MODELS.test(model) && !this.project_id) {
       logger.debug('Identified titling model as GenAI version');

api/app/clients/OpenAIClient.js

@@ -112,7 +112,12 @@ class OpenAIClient extends BaseClient {
     const { OPENAI_FORCE_PROMPT } = process.env ?? {};
     const { reverseProxyUrl: reverseProxy } = this.options;
 
-    if (!this.useOpenRouter && reverseProxy && reverseProxy.includes(KnownEndpoints.openrouter)) {
+    if (
+      !this.useOpenRouter &&
+      ((reverseProxy && reverseProxy.includes(KnownEndpoints.openrouter)) ||
+        (this.options.endpoint &&
+          this.options.endpoint.toLowerCase().includes(KnownEndpoints.openrouter)))
+    ) {
       this.useOpenRouter = true;
     }
 
@@ -298,7 +303,9 @@ class OpenAIClient extends BaseClient {
   }
 
   getEncoding() {
-    return this.model?.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
+    return this.modelOptions?.model && /gpt-4[^-\s]/.test(this.modelOptions.model)
+      ? 'o200k_base'
+      : 'cl100k_base';
   }
 
   /**
@@ -605,7 +612,7 @@ class OpenAIClient extends BaseClient {
   }
 
   initializeLLM({
-    model = 'gpt-4o-mini',
+    model = openAISettings.model.default,
     modelName,
     temperature = 0.2,
     max_tokens,
@@ -706,7 +713,7 @@ class OpenAIClient extends BaseClient {
 
     const { OPENAI_TITLE_MODEL } = process.env ?? {};
 
-    let model = this.options.titleModel ?? OPENAI_TITLE_MODEL ?? 'gpt-4o-mini';
+    let model = this.options.titleModel ?? OPENAI_TITLE_MODEL ?? openAISettings.model.default;
     if (model === Constants.CURRENT_MODEL) {
       model = this.modelOptions.model;
     }
@@ -899,7 +906,7 @@ ${convo}
     let prompt;
 
     // TODO: remove the gpt fallback and make it specific to endpoint
-    const { OPENAI_SUMMARY_MODEL = 'gpt-4o-mini' } = process.env ?? {};
+    const { OPENAI_SUMMARY_MODEL = openAISettings.model.default } = process.env ?? {};
     let model = this.options.summaryModel ?? OPENAI_SUMMARY_MODEL;
     if (model === Constants.CURRENT_MODEL) {
       model = this.modelOptions.model;
@@ -1265,6 +1272,29 @@ ${convo}
         });
       }
 
+      /** Note: OpenAI Web Search models do not support any known parameters besdies `max_tokens` */
+      if (modelOptions.model && /gpt-4o.*search/.test(modelOptions.model)) {
+        const searchExcludeParams = [
+          'frequency_penalty',
+          'presence_penalty',
+          'temperature',
+          'top_p',
+          'top_k',
+          'stop',
+          'logit_bias',
+          'seed',
+          'response_format',
+          'n',
+          'logprobs',
+          'user',
+        ];
+
+        this.options.dropParams = this.options.dropParams || [];
+        this.options.dropParams = [
+          ...new Set([...this.options.dropParams, ...searchExcludeParams]),
+        ];
+      }
+
       if (this.options.dropParams && Array.isArray(this.options.dropParams)) {
         this.options.dropParams.forEach((param) => {
           delete modelOptions[param];
@@ -1300,8 +1330,12 @@ ${convo}
       ) {
         delete modelOptions.stream;
         delete modelOptions.stop;
-      } else if (!this.isOmni && modelOptions.reasoning_effort != null) {
+      } else if (
+        (!this.isOmni || /^o1-(mini|preview)/i.test(modelOptions.model)) &&
+        modelOptions.reasoning_effort != null
+      ) {
         delete modelOptions.reasoning_effort;
+        delete modelOptions.temperature;
       }
 
       let reasoningKey = 'reasoning_content';
@@ -1309,6 +1343,12 @@ ${convo}
         modelOptions.include_reasoning = true;
         reasoningKey = 'reasoning';
       }
+      if (this.useOpenRouter && modelOptions.reasoning_effort != null) {
+        modelOptions.reasoning = {
+          effort: modelOptions.reasoning_effort,
+        };
+        delete modelOptions.reasoning_effort;
+      }
 
       this.streamHandler = new SplitStreamHandler({
         reasoningKey,

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

@@ -325,4 +325,37 @@ describe('formatAgentMessages', () => {
     );
     expect(result[0].content).not.toContain('Analyzing the problem...');
   });
+
+  it('should exclude ERROR type content parts', () => {
+    const payload = [
+      {
+        role: 'assistant',
+        content: [
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
+          {
+            type: ContentTypes.ERROR,
+            [ContentTypes.ERROR]:
+              'An error occurred while processing the request: Something went wrong',
+          },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
+        ],
+      },
+    ];
+
+    const result = formatAgentMessages(payload);
+
+    expect(result).toHaveLength(1);
+    expect(result[0]).toBeInstanceOf(AIMessage);
+    expect(result[0].content).toEqual([
+      { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
+      { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
+    ]);
+
+    // Make sure no error content exists in the result
+    const hasErrorContent = result[0].content.some(
+      (item) =>
+        item.type === ContentTypes.ERROR || JSON.stringify(item).includes('An error occurred'),
+    );
+    expect(hasErrorContent).toBe(false);
+  });
 });

api/app/clients/prompts/formatMessages.js

@@ -211,6 +211,8 @@ const formatAgentMessages = (payload) => {
       } else if (part.type === ContentTypes.THINK) {
         hasReasoning = true;
         continue;
+      } else if (part.type === ContentTypes.ERROR || part.type === ContentTypes.AGENT_UPDATE) {
+        continue;
       } else {
         currentContent.push(part);
       }

api/app/clients/specs/AnthropicClient.test.js

@@ -680,4 +680,53 @@ describe('AnthropicClient', () => {
       expect(capturedOptions).not.toHaveProperty('top_p');
     });
   });
+
+  it('should include top_k and top_p parameters for Claude-3.7 models when thinking is explicitly disabled', async () => {
+    const client = new AnthropicClient('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        temperature: 0.7,
+        topK: 10,
+        topP: 0.9,
+      },
+      thinking: false,
+    });
+
+    async function* mockAsyncGenerator() {
+      yield { type: 'message_start', message: { usage: {} } };
+      yield { delta: { text: 'Test response' } };
+      yield { type: 'message_delta', usage: {} };
+    }
+
+    jest.spyOn(client, 'createResponse').mockImplementation(() => {
+      return mockAsyncGenerator();
+    });
+
+    let capturedOptions = null;
+    jest.spyOn(client, 'getClient').mockImplementation((options) => {
+      capturedOptions = options;
+      return {};
+    });
+
+    const payload = [{ role: 'user', content: 'Test message' }];
+    await client.sendCompletion(payload, {});
+
+    expect(capturedOptions).toHaveProperty('topK', 10);
+    expect(capturedOptions).toHaveProperty('topP', 0.9);
+
+    client.setOptions({
+      modelOptions: {
+        model: 'claude-3.7-sonnet',
+        temperature: 0.7,
+        topK: 10,
+        topP: 0.9,
+      },
+      thinking: false,
+    });
+
+    await client.sendCompletion(payload, {});
+
+    expect(capturedOptions).toHaveProperty('topK', 10);
+    expect(capturedOptions).toHaveProperty('topP', 0.9);
+  });
 });

api/app/clients/specs/BaseClient.test.js

@@ -30,6 +30,8 @@ jest.mock('~/models', () => ({
   updateFileUsage: jest.fn(),
 }));
 
+const { getConvo, saveConvo } = require('~/models');
+
 jest.mock('@langchain/openai', () => {
   return {
     ChatOpenAI: jest.fn().mockImplementation(() => {
@@ -162,7 +164,7 @@ describe('BaseClient', () => {
     const result = await TestClient.getMessagesWithinTokenLimit({ messages });
 
     expect(result.context).toEqual(expectedContext);
-    expect(result.summaryIndex).toEqual(expectedIndex);
+    expect(result.messagesToRefine.length - 1).toEqual(expectedIndex);
     expect(result.remainingContextTokens).toBe(expectedRemainingContextTokens);
     expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
   });
@@ -198,7 +200,7 @@ describe('BaseClient', () => {
     const result = await TestClient.getMessagesWithinTokenLimit({ messages });
 
     expect(result.context).toEqual(expectedContext);
-    expect(result.summaryIndex).toEqual(expectedIndex);
+    expect(result.messagesToRefine.length - 1).toEqual(expectedIndex);
     expect(result.remainingContextTokens).toBe(expectedRemainingContextTokens);
     expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
   });
@@ -540,10 +542,11 @@ describe('BaseClient', () => {
 
     test('saveMessageToDatabase is called with the correct arguments', async () => {
       const saveOptions = TestClient.getSaveOptions();
-      const user = {}; // Mock user
+      const user = {};
       const opts = { user };
+      const saveSpy = jest.spyOn(TestClient, 'saveMessageToDatabase');
       await TestClient.sendMessage('Hello, world!', opts);
-      expect(TestClient.saveMessageToDatabase).toHaveBeenCalledWith(
+      expect(saveSpy).toHaveBeenCalledWith(
         expect.objectContaining({
           sender: expect.any(String),
           text: expect.any(String),
@@ -557,6 +560,157 @@ describe('BaseClient', () => {
       );
     });
 
+    test('should handle existing conversation when getConvo retrieves one', async () => {
+      const existingConvo = {
+        conversationId: 'existing-convo-id',
+        endpoint: 'openai',
+        endpointType: 'openai',
+        model: 'gpt-3.5-turbo',
+        messages: [
+          { role: 'user', content: 'Existing message 1' },
+          { role: 'assistant', content: 'Existing response 1' },
+        ],
+        temperature: 1,
+      };
+
+      const { temperature: _temp, ...newConvo } = existingConvo;
+
+      const user = {
+        id: 'user-id',
+      };
+
+      getConvo.mockResolvedValue(existingConvo);
+      saveConvo.mockResolvedValue(newConvo);
+
+      TestClient = initializeFakeClient(
+        apiKey,
+        {
+          ...options,
+          req: {
+            user,
+          },
+        },
+        [],
+      );
+
+      const saveSpy = jest.spyOn(TestClient, 'saveMessageToDatabase');
+
+      const newMessage = 'New message in existing conversation';
+      const response = await TestClient.sendMessage(newMessage, {
+        user,
+        conversationId: existingConvo.conversationId,
+      });
+
+      expect(getConvo).toHaveBeenCalledWith(user.id, existingConvo.conversationId);
+      expect(TestClient.conversationId).toBe(existingConvo.conversationId);
+      expect(response.conversationId).toBe(existingConvo.conversationId);
+      expect(TestClient.fetchedConvo).toBe(true);
+
+      expect(saveSpy).toHaveBeenCalledWith(
+        expect.objectContaining({
+          conversationId: existingConvo.conversationId,
+          text: newMessage,
+        }),
+        expect.any(Object),
+        expect.any(Object),
+      );
+
+      expect(saveConvo).toHaveBeenCalledTimes(2);
+      expect(saveConvo).toHaveBeenCalledWith(
+        expect.any(Object),
+        expect.objectContaining({
+          conversationId: existingConvo.conversationId,
+        }),
+        expect.objectContaining({
+          context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo',
+          unsetFields: {
+            temperature: 1,
+          },
+        }),
+      );
+
+      await TestClient.sendMessage('Another message', {
+        conversationId: existingConvo.conversationId,
+      });
+      expect(getConvo).toHaveBeenCalledTimes(1);
+    });
+
+    test('should correctly handle existing conversation and unset fields appropriately', async () => {
+      const existingConvo = {
+        conversationId: 'existing-convo-id',
+        endpoint: 'openai',
+        endpointType: 'openai',
+        model: 'gpt-3.5-turbo',
+        messages: [
+          { role: 'user', content: 'Existing message 1' },
+          { role: 'assistant', content: 'Existing response 1' },
+        ],
+        title: 'Existing Conversation',
+        someExistingField: 'existingValue',
+        anotherExistingField: 'anotherValue',
+        temperature: 0.7,
+        modelLabel: 'GPT-3.5',
+      };
+
+      getConvo.mockResolvedValue(existingConvo);
+      saveConvo.mockResolvedValue(existingConvo);
+
+      TestClient = initializeFakeClient(
+        apiKey,
+        {
+          ...options,
+          modelOptions: {
+            model: 'gpt-4',
+            temperature: 0.5,
+          },
+        },
+        [],
+      );
+
+      const newMessage = 'New message in existing conversation';
+      await TestClient.sendMessage(newMessage, {
+        conversationId: existingConvo.conversationId,
+      });
+
+      expect(saveConvo).toHaveBeenCalledTimes(2);
+
+      const saveConvoCall = saveConvo.mock.calls[0];
+      const [, savedFields, saveOptions] = saveConvoCall;
+
+      // Instead of checking all excludedKeys, we'll just check specific fields
+      // that we know should be excluded
+      expect(savedFields).not.toHaveProperty('messages');
+      expect(savedFields).not.toHaveProperty('title');
+
+      // Only check that someExistingField is in unsetFields
+      expect(saveOptions.unsetFields).toHaveProperty('someExistingField', 1);
+
+      // Mock saveConvo to return the expected fields
+      saveConvo.mockImplementation((req, fields) => {
+        return Promise.resolve({
+          ...fields,
+          endpoint: 'openai',
+          endpointType: 'openai',
+          model: 'gpt-4',
+          temperature: 0.5,
+        });
+      });
+
+      // Only check the conversationId since that's the only field we can be sure about
+      expect(savedFields).toHaveProperty('conversationId', 'existing-convo-id');
+
+      expect(TestClient.fetchedConvo).toBe(true);
+
+      await TestClient.sendMessage('Another message', {
+        conversationId: existingConvo.conversationId,
+      });
+
+      expect(getConvo).toHaveBeenCalledTimes(1);
+
+      const secondSaveConvoCall = saveConvo.mock.calls[1];
+      expect(secondSaveConvoCall[2]).toHaveProperty('unsetFields', {});
+    });
+
     test('sendCompletion is called with the correct arguments', async () => {
       const payload = {}; // Mock payload
       TestClient.buildMessages.mockReturnValue({ prompt: payload, tokenCountMap: null });

api/app/clients/specs/FakeClient.js

@@ -56,7 +56,6 @@ const initializeFakeClient = (apiKey, options, fakeMessages) => {
   let TestClient = new FakeClient(apiKey);
   TestClient.options = options;
   TestClient.abortController = { abort: jest.fn() };
-  TestClient.saveMessageToDatabase = jest.fn();
   TestClient.loadHistory = jest
     .fn()
     .mockImplementation((conversationId, parentMessageId = null) => {
@@ -86,7 +85,6 @@ const initializeFakeClient = (apiKey, options, fakeMessages) => {
     return 'Mock response text';
   });
 
-  // eslint-disable-next-line no-unused-vars
   TestClient.getCompletion = jest.fn().mockImplementation(async (..._args) => {
     return {
       choices: [

api/app/clients/tools/index.js

@@ -2,9 +2,10 @@ const availableTools = require('./manifest.json');
 
 // Structured Tools
 const DALLE3 = require('./structured/DALLE3');
+const FluxAPI = require('./structured/FluxAPI');
 const OpenWeather = require('./structured/OpenWeather');
-const createYouTubeTools = require('./structured/YouTube');
 const StructuredWolfram = require('./structured/Wolfram');
+const createYouTubeTools = require('./structured/YouTube');
 const StructuredACS = require('./structured/AzureAISearch');
 const StructuredSD = require('./structured/StableDiffusion');
 const GoogleSearchAPI = require('./structured/GoogleSearch');
@@ -30,6 +31,7 @@ module.exports = {
   manifestToolMap,
   // Structured Tools
   DALLE3,
+  FluxAPI,
   OpenWeather,
   StructuredSD,
   StructuredACS,

api/app/clients/tools/manifest.json

@@ -164,5 +164,19 @@
         "description": "Sign up at <a href=\"https://home.openweathermap.org/users/sign_up\" target=\"_blank\">OpenWeather</a>, then get your key at <a href=\"https://home.openweathermap.org/api_keys\" target=\"_blank\">API keys</a>."
       }
     ]
+  },
+  {
+    "name": "Flux",
+    "pluginKey": "flux",
+    "description": "Generate images using text with the Flux API.",
+    "icon": "https://blackforestlabs.ai/wp-content/uploads/2024/07/bfl_logo_retraced_blk.png",
+    "isAuthRequired": "true",
+    "authConfig": [
+      {
+        "authField": "FLUX_API_KEY",
+        "label": "Your Flux API Key",
+        "description": "Provide your Flux API key from your user profile."
+      }
+    ]
   }
 ]

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

@@ -1,14 +1,17 @@
 const { z } = require('zod');
 const path = require('path');
 const OpenAI = require('openai');
+const fetch = require('node-fetch');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
 const { HttpsProxyAgent } = require('https-proxy-agent');
-const { FileContext } = require('librechat-data-provider');
+const { FileContext, ContentTypes } = require('librechat-data-provider');
 const { getImageBasename } = require('~/server/services/Files/images');
 const extractBaseURL = require('~/utils/extractBaseURL');
 const { logger } = require('~/config');
 
+const displayMessage =
+  'DALL-E 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.';
 class DALLE3 extends Tool {
   constructor(fields = {}) {
     super();
@@ -114,10 +117,7 @@ class DALLE3 extends Tool {
     if (this.isAgent === true && typeof value === 'string') {
       return [value, {}];
     } else if (this.isAgent === true && typeof value === 'object') {
-      return [
-        'DALL-E 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.',
-        value,
-      ];
+      return [displayMessage, value];
     }
 
     return value;
@@ -160,6 +160,32 @@ Error Message: ${error.message}`);
       );
     }
 
+    if (this.isAgent) {
+      let fetchOptions = {};
+      if (process.env.PROXY) {
+        fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
+      }
+      const imageResponse = await fetch(theImageUrl, fetchOptions);
+      const arrayBuffer = await imageResponse.arrayBuffer();
+      const base64 = Buffer.from(arrayBuffer).toString('base64');
+      const content = [
+        {
+          type: ContentTypes.IMAGE_URL,
+          image_url: {
+            url: `data:image/png;base64,${base64}`,
+          },
+        },
+      ];
+
+      const response = [
+        {
+          type: ContentTypes.TEXT,
+          text: displayMessage,
+        },
+      ];
+      return [response, { content }];
+    }
+
     const imageBasename = getImageBasename(theImageUrl);
     const imageExt = path.extname(imageBasename);
 

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

@@ -0,0 +1,554 @@
+const { z } = require('zod');
+const axios = require('axios');
+const fetch = require('node-fetch');
+const { v4: uuidv4 } = require('uuid');
+const { Tool } = require('@langchain/core/tools');
+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.';
+
+/**
+ * FluxAPI - A tool for generating high-quality images from text prompts using the Flux API.
+ * Each call generates one image. If multiple images are needed, make multiple consecutive calls with the same or varied prompts.
+ */
+class FluxAPI extends Tool {
+  // Pricing constants in USD per image
+  static PRICING = {
+    FLUX_PRO_1_1_ULTRA: -0.06, // /v1/flux-pro-1.1-ultra
+    FLUX_PRO_1_1: -0.04, // /v1/flux-pro-1.1
+    FLUX_PRO: -0.05, // /v1/flux-pro
+    FLUX_DEV: -0.025, // /v1/flux-dev
+    FLUX_PRO_FINETUNED: -0.06, // /v1/flux-pro-finetuned
+    FLUX_PRO_1_1_ULTRA_FINETUNED: -0.07, // /v1/flux-pro-1.1-ultra-finetuned
+  };
+
+  constructor(fields = {}) {
+    super();
+
+    /** @type {boolean} Used to initialize the Tool without necessary variables. */
+    this.override = fields.override ?? false;
+
+    this.userId = fields.userId;
+    this.fileStrategy = fields.fileStrategy;
+
+    /** @type {boolean} **/
+    this.isAgent = fields.isAgent;
+    this.returnMetadata = fields.returnMetadata ?? false;
+
+    if (fields.processFileURL) {
+      /** @type {processFileURL} Necessary for output to contain all image metadata. */
+      this.processFileURL = fields.processFileURL.bind(this);
+    }
+
+    this.apiKey = fields.FLUX_API_KEY || this.getApiKey();
+
+    this.name = 'flux';
+    this.description =
+      'Use Flux to generate images from text descriptions. This tool can generate images and list available finetunes. Each generate call creates one image. For multiple images, make multiple consecutive calls.';
+
+    this.description_for_model = `// Transform any image description into a detailed, high-quality prompt. Never submit a prompt under 3 sentences. Follow these core rules:
+    // 1. ALWAYS enhance basic prompts into 5-10 detailed sentences (e.g., "a cat" becomes: "A close-up photo of a sleek Siamese cat with piercing blue eyes. The cat sits elegantly on a vintage leather armchair, its tail curled gracefully around its paws. Warm afternoon sunlight streams through a nearby window, casting gentle shadows across its face and highlighting the subtle variations in its cream and chocolate-point fur. The background is softly blurred, creating a shallow depth of field that draws attention to the cat's expressive features. The overall composition has a peaceful, contemplative mood with a professional photography style.")
+    // 2. Each prompt MUST be 3-6 descriptive sentences minimum, focusing on visual elements: lighting, composition, mood, and style
+    // Use action: 'list_finetunes' to see available custom models. When using finetunes, use endpoint: '/v1/flux-pro-finetuned' (default) or '/v1/flux-pro-1.1-ultra-finetuned' for higher quality and aspect ratio.`;
+
+    // Add base URL from environment variable with fallback
+    this.baseUrl = process.env.FLUX_API_BASE_URL || 'https://api.us1.bfl.ai';
+
+    // Define the schema for structured input
+    this.schema = z.object({
+      action: z
+        .enum(['generate', 'list_finetunes', 'generate_finetuned'])
+        .default('generate')
+        .describe(
+          'Action to perform: "generate" for image generation, "generate_finetuned" for finetuned model generation, "list_finetunes" to get available custom models',
+        ),
+      prompt: z
+        .string()
+        .optional()
+        .describe(
+          'Text prompt for image generation. Required when action is "generate". Not used for list_finetunes.',
+        ),
+      width: z
+        .number()
+        .optional()
+        .describe(
+          'Width of the generated image in pixels. Must be a multiple of 32. Default is 1024.',
+        ),
+      height: z
+        .number()
+        .optional()
+        .describe(
+          'Height of the generated image in pixels. Must be a multiple of 32. Default is 768.',
+        ),
+      prompt_upsampling: z
+        .boolean()
+        .optional()
+        .default(false)
+        .describe('Whether to perform upsampling on the prompt.'),
+      steps: z
+        .number()
+        .int()
+        .optional()
+        .describe('Number of steps to run the model for, a number from 1 to 50. Default is 40.'),
+      seed: z.number().optional().describe('Optional seed for reproducibility.'),
+      safety_tolerance: z
+        .number()
+        .optional()
+        .default(6)
+        .describe(
+          'Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.',
+        ),
+      endpoint: z
+        .enum([
+          '/v1/flux-pro-1.1',
+          '/v1/flux-pro',
+          '/v1/flux-dev',
+          '/v1/flux-pro-1.1-ultra',
+          '/v1/flux-pro-finetuned',
+          '/v1/flux-pro-1.1-ultra-finetuned',
+        ])
+        .optional()
+        .default('/v1/flux-pro-1.1')
+        .describe('Endpoint to use for image generation.'),
+      raw: z
+        .boolean()
+        .optional()
+        .default(false)
+        .describe(
+          'Generate less processed, more natural-looking images. Only works for /v1/flux-pro-1.1-ultra.',
+        ),
+      finetune_id: z.string().optional().describe('ID of the finetuned model to use'),
+      finetune_strength: z
+        .number()
+        .optional()
+        .default(1.1)
+        .describe('Strength of the finetuning effect (typically between 0.1 and 1.2)'),
+      guidance: z.number().optional().default(2.5).describe('Guidance scale for finetuned models'),
+      aspect_ratio: z
+        .string()
+        .optional()
+        .default('16:9')
+        .describe('Aspect ratio for ultra models (e.g., "16:9")'),
+    });
+  }
+
+  getAxiosConfig() {
+    const config = {};
+    if (process.env.PROXY) {
+      config.httpsAgent = new HttpsProxyAgent(process.env.PROXY);
+    }
+    return config;
+  }
+
+  /** @param {Object|string} value */
+  getDetails(value) {
+    if (typeof value === 'string') {
+      return value;
+    }
+    return JSON.stringify(value, null, 2);
+  }
+
+  getApiKey() {
+    const apiKey = process.env.FLUX_API_KEY || '';
+    if (!apiKey && !this.override) {
+      throw new Error('Missing FLUX_API_KEY environment variable.');
+    }
+    return apiKey;
+  }
+
+  wrapInMarkdown(imageUrl) {
+    const serverDomain = process.env.DOMAIN_SERVER || 'http://localhost:3080';
+    return `![generated image](${serverDomain}${imageUrl})`;
+  }
+
+  returnValue(value) {
+    if (this.isAgent === true && typeof value === 'string') {
+      return [value, {}];
+    } else if (this.isAgent === true && typeof value === 'object') {
+      if (Array.isArray(value)) {
+        return value;
+      }
+      return [displayMessage, value];
+    }
+    return value;
+  }
+
+  async _call(data) {
+    const { action = 'generate', ...imageData } = data;
+
+    // Use provided API key for this request if available, otherwise use default
+    const requestApiKey = this.apiKey || this.getApiKey();
+
+    // Handle list_finetunes action
+    if (action === 'list_finetunes') {
+      return this.getMyFinetunes(requestApiKey);
+    }
+
+    // Handle finetuned generation
+    if (action === 'generate_finetuned') {
+      return this.generateFinetunedImage(imageData, requestApiKey);
+    }
+
+    // For generate action, ensure prompt is provided
+    if (!imageData.prompt) {
+      throw new Error('Missing required field: prompt');
+    }
+
+    let payload = {
+      prompt: imageData.prompt,
+      prompt_upsampling: imageData.prompt_upsampling || false,
+      safety_tolerance: imageData.safety_tolerance || 6,
+      output_format: imageData.output_format || 'png',
+    };
+
+    // Add optional parameters if provided
+    if (imageData.width) {
+      payload.width = imageData.width;
+    }
+    if (imageData.height) {
+      payload.height = imageData.height;
+    }
+    if (imageData.steps) {
+      payload.steps = imageData.steps;
+    }
+    if (imageData.seed !== undefined) {
+      payload.seed = imageData.seed;
+    }
+    if (imageData.raw) {
+      payload.raw = imageData.raw;
+    }
+
+    const generateUrl = `${this.baseUrl}${imageData.endpoint || '/v1/flux-pro'}`;
+    const resultUrl = `${this.baseUrl}/v1/get_result`;
+
+    logger.debug('[FluxAPI] Generating image with payload:', payload);
+    logger.debug('[FluxAPI] Using endpoint:', generateUrl);
+
+    let taskResponse;
+    try {
+      taskResponse = await axios.post(generateUrl, payload, {
+        headers: {
+          'x-key': requestApiKey,
+          'Content-Type': 'application/json',
+          Accept: 'application/json',
+        },
+        ...this.getAxiosConfig(),
+      });
+    } catch (error) {
+      const details = this.getDetails(error?.response?.data || error.message);
+      logger.error('[FluxAPI] Error while submitting task:', details);
+
+      return this.returnValue(
+        `Something went wrong when trying to generate the image. The Flux API may be unavailable:
+        Error Message: ${details}`,
+      );
+    }
+
+    const taskId = taskResponse.data.id;
+
+    // Polling for the result
+    let status = 'Pending';
+    let resultData = null;
+    while (status !== 'Ready' && status !== 'Error') {
+      try {
+        // Wait 2 seconds between polls
+        await new Promise((resolve) => setTimeout(resolve, 2000));
+        const resultResponse = await axios.get(resultUrl, {
+          headers: {
+            'x-key': requestApiKey,
+            Accept: 'application/json',
+          },
+          params: { id: taskId },
+          ...this.getAxiosConfig(),
+        });
+        status = resultResponse.data.status;
+
+        if (status === 'Ready') {
+          resultData = resultResponse.data.result;
+          break;
+        } else if (status === 'Error') {
+          logger.error('[FluxAPI] Error in task:', resultResponse.data);
+          return this.returnValue('An error occurred during image generation.');
+        }
+      } catch (error) {
+        const details = this.getDetails(error?.response?.data || error.message);
+        logger.error('[FluxAPI] Error while getting result:', details);
+        return this.returnValue('An error occurred while retrieving the image.');
+      }
+    }
+
+    // If no result data
+    if (!resultData || !resultData.sample) {
+      logger.error('[FluxAPI] No image data received from API. Response:', resultData);
+      return this.returnValue('No image data received from Flux API.');
+    }
+
+    // Try saving the image locally
+    const imageUrl = resultData.sample;
+    const imageName = `img-${uuidv4()}.png`;
+
+    if (this.isAgent) {
+      try {
+        // Fetch the image and convert to base64
+        const fetchOptions = {};
+        if (process.env.PROXY) {
+          fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
+        }
+        const imageResponse = await fetch(imageUrl, fetchOptions);
+        const arrayBuffer = await imageResponse.arrayBuffer();
+        const base64 = Buffer.from(arrayBuffer).toString('base64');
+        const content = [
+          {
+            type: ContentTypes.IMAGE_URL,
+            image_url: {
+              url: `data:image/png;base64,${base64}`,
+            },
+          },
+        ];
+
+        const response = [
+          {
+            type: ContentTypes.TEXT,
+            text: displayMessage,
+          },
+        ];
+        return [response, { content }];
+      } catch (error) {
+        logger.error('Error processing image for agent:', error);
+        return this.returnValue(`Failed to process the image. ${error.message}`);
+      }
+    }
+
+    try {
+      logger.debug('[FluxAPI] Saving image:', imageUrl);
+      const result = await this.processFileURL({
+        fileStrategy: this.fileStrategy,
+        userId: this.userId,
+        URL: imageUrl,
+        fileName: imageName,
+        basePath: 'images',
+        context: FileContext.image_generation,
+      });
+
+      logger.debug('[FluxAPI] Image saved to path:', result.filepath);
+
+      // Calculate cost based on endpoint
+      /**
+       * TODO: Cost handling
+      const endpoint = imageData.endpoint || '/v1/flux-pro';
+      const endpointKey = Object.entries(FluxAPI.PRICING).find(([key, _]) =>
+        endpoint.includes(key.toLowerCase().replace(/_/g, '-')),
+      )?.[0];
+      const cost = FluxAPI.PRICING[endpointKey] || 0;
+       */
+      this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
+      return this.returnValue(this.result);
+    } catch (error) {
+      const details = this.getDetails(error?.message ?? 'No additional error details.');
+      logger.error('Error while saving the image:', details);
+      return this.returnValue(`Failed to save the image locally. ${details}`);
+    }
+  }
+
+  async getMyFinetunes(apiKey = null) {
+    const finetunesUrl = `${this.baseUrl}/v1/my_finetunes`;
+    const detailsUrl = `${this.baseUrl}/v1/finetune_details`;
+
+    try {
+      const headers = {
+        'x-key': apiKey || this.getApiKey(),
+        'Content-Type': 'application/json',
+        Accept: 'application/json',
+      };
+
+      // Get list of finetunes
+      const response = await axios.get(finetunesUrl, {
+        headers,
+        ...this.getAxiosConfig(),
+      });
+      const finetunes = response.data.finetunes;
+
+      // Fetch details for each finetune
+      const finetuneDetails = await Promise.all(
+        finetunes.map(async (finetuneId) => {
+          try {
+            const detailResponse = await axios.get(`${detailsUrl}?finetune_id=${finetuneId}`, {
+              headers,
+              ...this.getAxiosConfig(),
+            });
+            return {
+              id: finetuneId,
+              ...detailResponse.data,
+            };
+          } catch (error) {
+            logger.error(`[FluxAPI] Error fetching details for finetune ${finetuneId}:`, error);
+            return {
+              id: finetuneId,
+              error: 'Failed to fetch details',
+            };
+          }
+        }),
+      );
+
+      if (this.isAgent) {
+        const formattedDetails = JSON.stringify(finetuneDetails, null, 2);
+        return [`Here are the available finetunes:\n${formattedDetails}`, null];
+      }
+      return JSON.stringify(finetuneDetails);
+    } catch (error) {
+      const details = this.getDetails(error?.response?.data || error.message);
+      logger.error('[FluxAPI] Error while getting finetunes:', details);
+      const errorMsg = `Failed to get finetunes: ${details}`;
+      return this.isAgent ? this.returnValue([errorMsg, {}]) : new Error(errorMsg);
+    }
+  }
+
+  async generateFinetunedImage(imageData, requestApiKey) {
+    if (!imageData.prompt) {
+      throw new Error('Missing required field: prompt');
+    }
+
+    if (!imageData.finetune_id) {
+      throw new Error(
+        'Missing required field: finetune_id for finetuned generation. Please supply a finetune_id!',
+      );
+    }
+
+    // Validate endpoint is appropriate for finetuned generation
+    const validFinetunedEndpoints = ['/v1/flux-pro-finetuned', '/v1/flux-pro-1.1-ultra-finetuned'];
+    const endpoint = imageData.endpoint || '/v1/flux-pro-finetuned';
+
+    if (!validFinetunedEndpoints.includes(endpoint)) {
+      throw new Error(
+        `Invalid endpoint for finetuned generation. Must be one of: ${validFinetunedEndpoints.join(', ')}`,
+      );
+    }
+
+    let payload = {
+      prompt: imageData.prompt,
+      prompt_upsampling: imageData.prompt_upsampling || false,
+      safety_tolerance: imageData.safety_tolerance || 6,
+      output_format: imageData.output_format || 'png',
+      finetune_id: imageData.finetune_id,
+      finetune_strength: imageData.finetune_strength || 1.0,
+      guidance: imageData.guidance || 2.5,
+    };
+
+    // Add optional parameters if provided
+    if (imageData.width) {
+      payload.width = imageData.width;
+    }
+    if (imageData.height) {
+      payload.height = imageData.height;
+    }
+    if (imageData.steps) {
+      payload.steps = imageData.steps;
+    }
+    if (imageData.seed !== undefined) {
+      payload.seed = imageData.seed;
+    }
+    if (imageData.raw) {
+      payload.raw = imageData.raw;
+    }
+
+    const generateUrl = `${this.baseUrl}${endpoint}`;
+    const resultUrl = `${this.baseUrl}/v1/get_result`;
+
+    logger.debug('[FluxAPI] Generating finetuned image with payload:', payload);
+    logger.debug('[FluxAPI] Using endpoint:', generateUrl);
+
+    let taskResponse;
+    try {
+      taskResponse = await axios.post(generateUrl, payload, {
+        headers: {
+          'x-key': requestApiKey,
+          'Content-Type': 'application/json',
+          Accept: 'application/json',
+        },
+        ...this.getAxiosConfig(),
+      });
+    } catch (error) {
+      const details = this.getDetails(error?.response?.data || error.message);
+      logger.error('[FluxAPI] Error while submitting finetuned task:', details);
+      return this.returnValue(
+        `Something went wrong when trying to generate the finetuned image. The Flux API may be unavailable:
+        Error Message: ${details}`,
+      );
+    }
+
+    const taskId = taskResponse.data.id;
+
+    // Polling for the result
+    let status = 'Pending';
+    let resultData = null;
+    while (status !== 'Ready' && status !== 'Error') {
+      try {
+        // Wait 2 seconds between polls
+        await new Promise((resolve) => setTimeout(resolve, 2000));
+        const resultResponse = await axios.get(resultUrl, {
+          headers: {
+            'x-key': requestApiKey,
+            Accept: 'application/json',
+          },
+          params: { id: taskId },
+          ...this.getAxiosConfig(),
+        });
+        status = resultResponse.data.status;
+
+        if (status === 'Ready') {
+          resultData = resultResponse.data.result;
+          break;
+        } else if (status === 'Error') {
+          logger.error('[FluxAPI] Error in finetuned task:', resultResponse.data);
+          return this.returnValue('An error occurred during finetuned image generation.');
+        }
+      } catch (error) {
+        const details = this.getDetails(error?.response?.data || error.message);
+        logger.error('[FluxAPI] Error while getting finetuned result:', details);
+        return this.returnValue('An error occurred while retrieving the finetuned image.');
+      }
+    }
+
+    // If no result data
+    if (!resultData || !resultData.sample) {
+      logger.error('[FluxAPI] No image data received from API. Response:', resultData);
+      return this.returnValue('No image data received from Flux API.');
+    }
+
+    // Try saving the image locally
+    const imageUrl = resultData.sample;
+    const imageName = `img-${uuidv4()}.png`;
+
+    try {
+      logger.debug('[FluxAPI] Saving finetuned image:', imageUrl);
+      const result = await this.processFileURL({
+        fileStrategy: this.fileStrategy,
+        userId: this.userId,
+        URL: imageUrl,
+        fileName: imageName,
+        basePath: 'images',
+        context: FileContext.image_generation,
+      });
+
+      logger.debug('[FluxAPI] Finetuned image saved to path:', result.filepath);
+
+      // Calculate cost based on endpoint
+      const endpointKey = endpoint.includes('ultra')
+        ? 'FLUX_PRO_1_1_ULTRA_FINETUNED'
+        : 'FLUX_PRO_FINETUNED';
+      const cost = FluxAPI.PRICING[endpointKey] || 0;
+      // Return the result based on returnMetadata flag
+      this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
+      return this.returnValue(this.result);
+    } catch (error) {
+      const details = this.getDetails(error?.message ?? 'No additional error details.');
+      logger.error('Error while saving the finetuned image:', details);
+      return this.returnValue(`Failed to save the finetuned image locally. ${details}`);
+    }
+  }
+}
+
+module.exports = FluxAPI;

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

@@ -6,10 +6,13 @@ const axios = require('axios');
 const sharp = require('sharp');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
-const { FileContext } = require('librechat-data-provider');
+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.';
+
 class StableDiffusionAPI extends Tool {
   constructor(fields) {
     super();
@@ -21,6 +24,8 @@ class StableDiffusionAPI extends Tool {
     this.override = fields.override ?? false;
     /** @type {boolean} Necessary for output to contain all image metadata. */
     this.returnMetadata = fields.returnMetadata ?? false;
+    /** @type {boolean} */
+    this.isAgent = fields.isAgent;
     if (fields.uploadImageBuffer) {
       /** @type {uploadImageBuffer} Necessary for output to contain all image metadata. */
       this.uploadImageBuffer = fields.uploadImageBuffer.bind(this);
@@ -66,6 +71,16 @@ class StableDiffusionAPI extends Tool {
     return `![generated image](/${imageUrl})`;
   }
 
+  returnValue(value) {
+    if (this.isAgent === true && typeof value === 'string') {
+      return [value, {}];
+    } else if (this.isAgent === true && typeof value === 'object') {
+      return [displayMessage, value];
+    }
+
+    return value;
+  }
+
   getServerURL() {
     const url = process.env.SD_WEBUI_URL || '';
     if (!url && !this.override) {
@@ -113,6 +128,25 @@ class StableDiffusionAPI extends Tool {
     }
 
     try {
+      if (this.isAgent) {
+        const content = [
+          {
+            type: ContentTypes.IMAGE_URL,
+            image_url: {
+              url: `data:image/png;base64,${image}`,
+            },
+          },
+        ];
+
+        const response = [
+          {
+            type: ContentTypes.TEXT,
+            text: displayMessage,
+          },
+        ];
+        return [response, { content }];
+      }
+
       const buffer = Buffer.from(image.split(',', 1)[0], 'base64');
       if (this.returnMetadata && this.uploadImageBuffer && this.req) {
         const file = await this.uploadImageBuffer({
@@ -154,7 +188,7 @@ class StableDiffusionAPI extends Tool {
       logger.error('[StableDiffusion] Error while saving the image:', error);
     }
 
-    return this.result;
+    return this.returnValue(this.result);
   }
 }
 

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

@@ -10,6 +10,7 @@ const {
   GoogleSearchAPI,
   // Structured Tools
   DALLE3,
+  FluxAPI,
   OpenWeather,
   StructuredSD,
   StructuredACS,
@@ -20,6 +21,7 @@ const {
 } = require('../');
 const { primeFiles: primeCodeFiles } = require('~/server/services/Files/Code/process');
 const { createFileSearchTool, primeFiles: primeSearchFiles } = require('./fileSearch');
+const { loadAuthValues } = require('~/server/services/Tools/credentials');
 const { createMCPTool } = require('~/server/services/MCP');
 const { loadSpecs } = require('./loadSpecs');
 const { logger } = require('~/config');
@@ -89,45 +91,6 @@ const validateTools = async (user, tools = []) => {
   }
 };
 
-const loadAuthValues = async ({ userId, authFields, throwError = true }) => {
-  let authValues = {};
-
-  /**
-   * Finds the first non-empty value for the given authentication field, supporting alternate fields.
-   * @param {string[]} fields Array of strings representing the authentication fields. Supports alternate fields delimited by "||".
-   * @returns {Promise<{ authField: string, authValue: string} | null>} An object containing the authentication field and value, or null if not found.
-   */
-  const findAuthValue = async (fields) => {
-    for (const field of fields) {
-      let value = process.env[field];
-      if (value) {
-        return { authField: field, authValue: value };
-      }
-      try {
-        value = await getUserPluginAuthValue(userId, field, throwError);
-      } catch (err) {
-        if (field === fields[fields.length - 1] && !value) {
-          throw err;
-        }
-      }
-      if (value) {
-        return { authField: field, authValue: value };
-      }
-    }
-    return null;
-  };
-
-  for (let authField of authFields) {
-    const fields = authField.split('||');
-    const result = await findAuthValue(fields);
-    if (result) {
-      authValues[result.authField] = result.authValue;
-    }
-  }
-
-  return authValues;
-};
-
 /** @typedef {typeof import('@langchain/core/tools').Tool} ToolConstructor */
 /** @typedef {import('@langchain/core/tools').Tool} Tool */
 
@@ -182,6 +145,7 @@ const loadTools = async ({
   returnMap = false,
 }) => {
   const toolConstructors = {
+    flux: FluxAPI,
     calculator: Calculator,
     google: GoogleSearchAPI,
     open_weather: OpenWeather,
@@ -230,9 +194,10 @@ const loadTools = async ({
   };
 
   const toolOptions = {
-    serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
+    flux: imageGenOptions,
     dalle: imageGenOptions,
     'stable-diffusion': imageGenOptions,
+    serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
   };
 
   const toolContextMap = {};
@@ -345,7 +310,6 @@ const loadTools = async ({
 
 module.exports = {
   loadToolWithAuth,
-  loadAuthValues,
   validateTools,
   loadTools,
 };

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

@@ -1,9 +1,8 @@
-const { validateTools, loadTools, loadAuthValues } = require('./handleTools');
+const { validateTools, loadTools } = require('./handleTools');
 const handleOpenAIErrors = require('./handleOpenAIErrors');
 
 module.exports = {
   handleOpenAIErrors,
-  loadAuthValues,
   validateTools,
   loadTools,
 };

api/config/index.js

@@ -1,3 +1,4 @@
+const axios = require('axios');
 const { EventSource } = require('eventsource');
 const { Time, CacheKeys } = require('librechat-data-provider');
 const logger = require('./winston');
@@ -47,9 +48,46 @@ const sendEvent = (res, event) => {
   res.write(`event: message\ndata: ${JSON.stringify(event)}\n\n`);
 };
 
+/**
+ * Creates and configures an Axios instance with optional proxy settings.
+ *
+ * @typedef {import('axios').AxiosInstance} AxiosInstance
+ * @typedef {import('axios').AxiosProxyConfig} AxiosProxyConfig
+ *
+ * @returns {AxiosInstance} A configured Axios instance
+ * @throws {Error} If there's an issue creating the Axios instance or parsing the proxy URL
+ */
+function createAxiosInstance() {
+  const instance = axios.create();
+
+  if (process.env.proxy) {
+    try {
+      const url = new URL(process.env.proxy);
+
+      /** @type {AxiosProxyConfig} */
+      const proxyConfig = {
+        host: url.hostname.replace(/^\[|\]$/g, ''),
+        protocol: url.protocol.replace(':', ''),
+      };
+
+      if (url.port) {
+        proxyConfig.port = parseInt(url.port, 10);
+      }
+
+      instance.defaults.proxy = proxyConfig;
+    } catch (error) {
+      console.error('Error parsing proxy URL:', error);
+      throw new Error(`Invalid proxy URL: ${process.env.proxy}`);
+    }
+  }
+
+  return instance;
+}
+
 module.exports = {
   logger,
   sendEvent,
   getMCPManager,
+  createAxiosInstance,
   getFlowStateManager,
 };

api/config/index.spec.js

@@ -0,0 +1,126 @@
+const axios = require('axios');
+const { createAxiosInstance } = require('./index');
+
+// Mock axios
+jest.mock('axios', () => ({
+  interceptors: {
+    request: { use: jest.fn(), eject: jest.fn() },
+    response: { use: jest.fn(), eject: jest.fn() },
+  },
+  create: jest.fn().mockReturnValue({
+    defaults: {
+      proxy: null,
+    },
+    get: jest.fn().mockResolvedValue({ data: {} }),
+    post: jest.fn().mockResolvedValue({ data: {} }),
+    put: jest.fn().mockResolvedValue({ data: {} }),
+    delete: jest.fn().mockResolvedValue({ data: {} }),
+  }),
+  get: jest.fn().mockResolvedValue({ data: {} }),
+  post: jest.fn().mockResolvedValue({ data: {} }),
+  put: jest.fn().mockResolvedValue({ data: {} }),
+  delete: jest.fn().mockResolvedValue({ data: {} }),
+  reset: jest.fn().mockImplementation(function () {
+    this.get.mockClear();
+    this.post.mockClear();
+    this.put.mockClear();
+    this.delete.mockClear();
+    this.create.mockClear();
+  }),
+}));
+
+describe('createAxiosInstance', () => {
+  const originalEnv = process.env;
+
+  beforeEach(() => {
+    // Reset mocks
+    jest.clearAllMocks();
+    // Create a clean copy of process.env
+    process.env = { ...originalEnv };
+    // Default: no proxy
+    delete process.env.proxy;
+  });
+
+  afterAll(() => {
+    // Restore original process.env
+    process.env = originalEnv;
+  });
+
+  test('creates an axios instance without proxy when no proxy env is set', () => {
+    const instance = createAxiosInstance();
+
+    expect(axios.create).toHaveBeenCalledTimes(1);
+    expect(instance.defaults.proxy).toBeNull();
+  });
+
+  test('configures proxy correctly with hostname and protocol', () => {
+    process.env.proxy = 'http://example.com';
+
+    const instance = createAxiosInstance();
+
+    expect(axios.create).toHaveBeenCalledTimes(1);
+    expect(instance.defaults.proxy).toEqual({
+      host: 'example.com',
+      protocol: 'http',
+    });
+  });
+
+  test('configures proxy correctly with hostname, protocol and port', () => {
+    process.env.proxy = 'https://proxy.example.com:8080';
+
+    const instance = createAxiosInstance();
+
+    expect(axios.create).toHaveBeenCalledTimes(1);
+    expect(instance.defaults.proxy).toEqual({
+      host: 'proxy.example.com',
+      protocol: 'https',
+      port: 8080,
+    });
+  });
+
+  test('handles proxy URLs with authentication', () => {
+    process.env.proxy = 'http://user:pass@proxy.example.com:3128';
+
+    const instance = createAxiosInstance();
+
+    expect(axios.create).toHaveBeenCalledTimes(1);
+    expect(instance.defaults.proxy).toEqual({
+      host: 'proxy.example.com',
+      protocol: 'http',
+      port: 3128,
+      // Note: The current implementation doesn't handle auth - if needed, add this functionality
+    });
+  });
+
+  test('throws error when proxy URL is invalid', () => {
+    process.env.proxy = 'invalid-url';
+
+    expect(() => createAxiosInstance()).toThrow('Invalid proxy URL');
+    expect(axios.create).toHaveBeenCalledTimes(1);
+  });
+
+  // If you want to test the actual URL parsing more thoroughly
+  test('handles edge case proxy URLs correctly', () => {
+    // IPv6 address
+    process.env.proxy = 'http://[::1]:8080';
+
+    let instance = createAxiosInstance();
+
+    expect(instance.defaults.proxy).toEqual({
+      host: '::1',
+      protocol: 'http',
+      port: 8080,
+    });
+
+    // URL with path (which should be ignored for proxy config)
+    process.env.proxy = 'http://proxy.example.com:8080/some/path';
+
+    instance = createAxiosInstance();
+
+    expect(instance.defaults.proxy).toEqual({
+      host: 'proxy.example.com',
+      protocol: 'http',
+      port: 8080,
+    });
+  });
+});

api/lib/db/indexSync.js

@@ -1,6 +1,6 @@
 const { MeiliSearch } = require('meilisearch');
-const Conversation = require('~/models/schema/convoSchema');
-const Message = require('~/models/schema/messageSchema');
+const { Conversation } = require('~/models/Conversation');
+const { Message } = require('~/models/Message');
 const { isEnabled } = require('~/server/utils');
 const { logger } = require('~/config');
 

api/models/Action.js

@@ -1,5 +1,5 @@
 const mongoose = require('mongoose');
-const actionSchema = require('./schema/action');
+const { actionSchema } = require('@librechat/data-schemas');
 
 const Action = mongoose.model('action', actionSchema);
 

api/models/Agent.js

@@ -9,7 +9,7 @@ const {
   removeAgentFromAllProjects,
 } = require('./Project');
 const getLogStores = require('~/cache/getLogStores');
-const agentSchema = require('./schema/agent');
+const { agentSchema } = require('@librechat/data-schemas');
 
 const Agent = mongoose.model('agent', agentSchema);
 

api/models/Assistant.js

@@ -1,5 +1,5 @@
 const mongoose = require('mongoose');
-const assistantSchema = require('./schema/assistant');
+const { assistantSchema } = require('@librechat/data-schemas');
 
 const Assistant = mongoose.model('assistant', assistantSchema);
 

api/models/Balance.js

@@ -1,5 +1,5 @@
 const mongoose = require('mongoose');
-const balanceSchema = require('./schema/balance');
+const { balanceSchema } = require('@librechat/data-schemas');
 const { getMultiplier } = require('./tx');
 const { logger } = require('~/config');
 

api/models/Banner.js

@@ -1,5 +1,9 @@
-const Banner = require('./schema/banner');
+const mongoose = require('mongoose');
 const logger = require('~/config/winston');
+const { bannerSchema } = require('@librechat/data-schemas');
+
+const Banner = mongoose.model('Banner', bannerSchema);
+
 /**
  * Retrieves the current active banner.
  * @returns {Promise<Object|null>} The active banner object or null if no active banner is found.
@@ -24,4 +28,4 @@ const getBanner = async (user) => {
   }
 };
 
-module.exports = { getBanner };
+module.exports = { Banner, getBanner };

api/models/Categories.js

@@ -1,5 +1,4 @@
 const { logger } = require('~/config');
-// const { Categories } = require('./schema/categories');
 
 const options = [
   {

api/models/Conversation.js

@@ -15,19 +15,6 @@ const searchConversation = async (conversationId) => {
     throw new Error('Error searching conversation');
   }
 };
-/**
- * Searches for a conversation by conversationId and returns associated file ids.
- * @param {string} conversationId - The conversation's ID.
- * @returns {Promise<string[] | null>}
- */
-const getConvoFiles = async (conversationId) => {
-  try {
-    return (await Conversation.findOne({ conversationId }, 'files').lean())?.files ?? [];
-  } catch (error) {
-    logger.error('[getConvoFiles] Error getting conversation files', error);
-    throw new Error('Error getting conversation files');
-  }
-};
 
 /**
  * Retrieves a single conversation for a given user and conversation ID.
@@ -73,6 +60,20 @@ const deleteNullOrEmptyConversations = async () => {
   }
 };
 
+/**
+ * Searches for a conversation by conversationId and returns associated file ids.
+ * @param {string} conversationId - The conversation's ID.
+ * @returns {Promise<string[] | null>}
+ */
+const getConvoFiles = async (conversationId) => {
+  try {
+    return (await Conversation.findOne({ conversationId }, 'files').lean())?.files ?? [];
+  } catch (error) {
+    logger.error('[getConvoFiles] Error getting conversation files', error);
+    throw new Error('Error getting conversation files');
+  }
+};
+
 module.exports = {
   Conversation,
   getConvoFiles,

api/models/ConversationTag.js

@@ -1,7 +1,11 @@
-const ConversationTag = require('./schema/conversationTagSchema');
+const mongoose = require('mongoose');
 const Conversation = require('./schema/convoSchema');
 const logger = require('~/config/winston');
 
+const { conversationTagSchema } = require('@librechat/data-schemas');
+
+const ConversationTag = mongoose.model('ConversationTag', conversationTagSchema);
+
 /**
  * Retrieves all conversation tags for a user.
  * @param {string} user - The user ID.

api/models/File.js

@@ -1,5 +1,6 @@
 const mongoose = require('mongoose');
-const fileSchema = require('./schema/fileSchema');
+const { fileSchema } = require('@librechat/data-schemas');
+const { logger } = require('~/config');
 
 const File = mongoose.model('File', fileSchema);
 
@@ -7,7 +8,7 @@ const File = mongoose.model('File', fileSchema);
  * Finds a file by its file_id with additional query options.
  * @param {string} file_id - The unique identifier of the file.
  * @param {object} options - Query options for filtering, projection, etc.
- * @returns {Promise<MongoFile>} A promise that resolves to the file document or null.
+ * @returns {Promise<IMongoFile>} A promise that resolves to the file document or null.
  */
 const findFileById = async (file_id, options = {}) => {
   return await File.findOne({ file_id, ...options }).lean();
@@ -17,18 +18,46 @@ const findFileById = async (file_id, options = {}) => {
  * Retrieves files matching a given filter, sorted by the most recently updated.
  * @param {Object} filter - The filter criteria to apply.
  * @param {Object} [_sortOptions] - Optional sort parameters.
- * @returns {Promise<Array<MongoFile>>} A promise that resolves to an array of file documents.
+ * @param {Object|String} [selectFields={ text: 0 }] - Fields to include/exclude in the query results.
+ *                                                   Default excludes the 'text' field.
+ * @returns {Promise<Array<IMongoFile>>} A promise that resolves to an array of file documents.
  */
-const getFiles = async (filter, _sortOptions) => {
+const getFiles = async (filter, _sortOptions, selectFields = { text: 0 }) => {
   const sortOptions = { updatedAt: -1, ..._sortOptions };
-  return await File.find(filter).sort(sortOptions).lean();
+  return await File.find(filter).select(selectFields).sort(sortOptions).lean();
+};
+
+/**
+ * Retrieves tool files (files that are embedded or have a fileIdentifier) from an array of file IDs
+ * @param {string[]} fileIds - Array of file_id strings to search for
+ * @returns {Promise<Array<IMongoFile>>} Files that match the criteria
+ */
+const getToolFilesByIds = async (fileIds) => {
+  if (!fileIds || !fileIds.length) {
+    return [];
+  }
+
+  try {
+    const filter = {
+      file_id: { $in: fileIds },
+      $or: [{ embedded: true }, { 'metadata.fileIdentifier': { $exists: true } }],
+    };
+
+    const selectFields = { text: 0 };
+    const sortOptions = { updatedAt: -1 };
+
+    return await getFiles(filter, sortOptions, selectFields);
+  } catch (error) {
+    logger.error('[getToolFilesByIds] Error retrieving tool files:', error);
+    throw new Error('Error retrieving tool files');
+  }
 };
 
 /**
  * Creates a new file with a TTL of 1 hour.
- * @param {MongoFile} data - The file data to be created, must contain file_id.
+ * @param {IMongoFile} data - The file data to be created, must contain file_id.
  * @param {boolean} disableTTL - Whether to disable the TTL.
- * @returns {Promise<MongoFile>} A promise that resolves to the created file document.
+ * @returns {Promise<IMongoFile>} A promise that resolves to the created file document.
  */
 const createFile = async (data, disableTTL) => {
   const fileData = {
@@ -48,8 +77,8 @@ const createFile = async (data, disableTTL) => {
 
 /**
  * Updates a file identified by file_id with new data and removes the TTL.
- * @param {MongoFile} data - The data to update, must contain file_id.
- * @returns {Promise<MongoFile>} A promise that resolves to the updated file document.
+ * @param {IMongoFile} data - The data to update, must contain file_id.
+ * @returns {Promise<IMongoFile>} A promise that resolves to the updated file document.
  */
 const updateFile = async (data) => {
   const { file_id, ...update } = data;
@@ -62,8 +91,8 @@ const updateFile = async (data) => {
 
 /**
  * Increments the usage of a file identified by file_id.
- * @param {MongoFile} data - The data to update, must contain file_id and the increment value for usage.
- * @returns {Promise<MongoFile>} A promise that resolves to the updated file document.
+ * @param {IMongoFile} data - The data to update, must contain file_id and the increment value for usage.
+ * @returns {Promise<IMongoFile>} A promise that resolves to the updated file document.
  */
 const updateFileUsage = async (data) => {
   const { file_id, inc = 1 } = data;
@@ -77,7 +106,7 @@ const updateFileUsage = async (data) => {
 /**
  * Deletes a file identified by file_id.
  * @param {string} file_id - The unique identifier of the file to delete.
- * @returns {Promise<MongoFile>} A promise that resolves to the deleted file document or null.
+ * @returns {Promise<IMongoFile>} A promise that resolves to the deleted file document or null.
  */
 const deleteFile = async (file_id) => {
   return await File.findOneAndDelete({ file_id }).lean();
@@ -86,7 +115,7 @@ const deleteFile = async (file_id) => {
 /**
  * Deletes a file identified by a filter.
  * @param {object} filter - The filter criteria to apply.
- * @returns {Promise<MongoFile>} A promise that resolves to the deleted file document or null.
+ * @returns {Promise<IMongoFile>} A promise that resolves to the deleted file document or null.
  */
 const deleteFileByFilter = async (filter) => {
   return await File.findOneAndDelete(filter).lean();
@@ -109,6 +138,7 @@ module.exports = {
   File,
   findFileById,
   getFiles,
+  getToolFilesByIds,
   createFile,
   updateFile,
   updateFileUsage,

api/models/Group.js

@@ -0,0 +1,6 @@
+const mongoose = require('mongoose');
+const { groupSchema } = require('@librechat/data-schemas');
+
+const Group = mongoose.model('Group', groupSchema);
+
+module.exports = Group;

api/models/Key.js

@@ -1,4 +1,4 @@
 const mongoose = require('mongoose');
-const keySchema = require('./schema/key');
+const { keySchema } = require('@librechat/data-schemas');
 
 module.exports = mongoose.model('Key', keySchema);

api/models/Message.js

@@ -71,7 +71,42 @@ async function saveMessage(req, params, metadata) {
   } catch (err) {
     logger.error('Error saving message:', err);
     logger.info(`---\`saveMessage\` context: ${metadata?.context}`);
-    throw err;
+
+    // Check if this is a duplicate key error (MongoDB error code 11000)
+    if (err.code === 11000 && err.message.includes('duplicate key error')) {
+      // Log the duplicate key error but don't crash the application
+      logger.warn(`Duplicate messageId detected: ${params.messageId}. Continuing execution.`);
+
+      try {
+        // Try to find the existing message with this ID
+        const existingMessage = await Message.findOne({
+          messageId: params.messageId,
+          user: req.user.id,
+        });
+
+        // If we found it, return it
+        if (existingMessage) {
+          return existingMessage.toObject();
+        }
+
+        // If we can't find it (unlikely but possible in race conditions)
+        return {
+          ...params,
+          messageId: params.messageId,
+          user: req.user.id,
+        };
+      } catch (findError) {
+        // If the findOne also fails, log it but don't crash
+        logger.warn(`Could not retrieve existing message with ID ${params.messageId}: ${findError.message}`);
+        return {
+          ...params,
+          messageId: params.messageId,
+          user: req.user.id,
+        };
+      }
+    }
+
+    throw err; // Re-throw other errors
   }
 }
 

api/models/Project.js

@@ -1,6 +1,6 @@
 const { model } = require('mongoose');
 const { GLOBAL_PROJECT_NAME } = require('librechat-data-provider').Constants;
-const projectSchema = require('~/models/schema/projectSchema');
+const { projectSchema } = require('@librechat/data-schemas');
 
 const Project = model('Project', projectSchema);
 
@@ -9,7 +9,7 @@ const Project = model('Project', projectSchema);
  *
  * @param {string} projectId - The ID of the project to find and return as a plain object.
  * @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
- * @returns {Promise<MongoProject>} A plain object representing the project document, or `null` if no project is found.
+ * @returns {Promise<IMongoProject>} A plain object representing the project document, or `null` if no project is found.
  */
 const getProjectById = async function (projectId, fieldsToSelect = null) {
   const query = Project.findById(projectId);
@@ -27,7 +27,7 @@ const getProjectById = async function (projectId, fieldsToSelect = null) {
  *
  * @param {string} projectName - The name of the project to find or create.
  * @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
- * @returns {Promise<MongoProject>} A plain object representing the project document.
+ * @returns {Promise<IMongoProject>} A plain object representing the project document.
  */
 const getProjectByName = async function (projectName, fieldsToSelect = null) {
   const query = { name: projectName };
@@ -47,7 +47,7 @@ const getProjectByName = async function (projectName, fieldsToSelect = null) {
  *
  * @param {string} projectId - The ID of the project to update.
  * @param {string[]} promptGroupIds - The array of prompt group IDs to add to the project.
- * @returns {Promise<MongoProject>} The updated project document.
+ * @returns {Promise<IMongoProject>} The updated project document.
  */
 const addGroupIdsToProject = async function (projectId, promptGroupIds) {
   return await Project.findByIdAndUpdate(
@@ -62,7 +62,7 @@ const addGroupIdsToProject = async function (projectId, promptGroupIds) {
  *
  * @param {string} projectId - The ID of the project to update.
  * @param {string[]} promptGroupIds - The array of prompt group IDs to remove from the project.
- * @returns {Promise<MongoProject>} The updated project document.
+ * @returns {Promise<IMongoProject>} The updated project document.
  */
 const removeGroupIdsFromProject = async function (projectId, promptGroupIds) {
   return await Project.findByIdAndUpdate(
@@ -87,7 +87,7 @@ const removeGroupFromAllProjects = async (promptGroupId) => {
  *
  * @param {string} projectId - The ID of the project to update.
  * @param {string[]} agentIds - The array of agent IDs to add to the project.
- * @returns {Promise<MongoProject>} The updated project document.
+ * @returns {Promise<IMongoProject>} The updated project document.
  */
 const addAgentIdsToProject = async function (projectId, agentIds) {
   return await Project.findByIdAndUpdate(
@@ -102,7 +102,7 @@ const addAgentIdsToProject = async function (projectId, agentIds) {
  *
  * @param {string} projectId - The ID of the project to update.
  * @param {string[]} agentIds - The array of agent IDs to remove from the project.
- * @returns {Promise<MongoProject>} The updated project document.
+ * @returns {Promise<IMongoProject>} The updated project document.
  */
 const removeAgentIdsFromProject = async function (projectId, agentIds) {
   return await Project.findByIdAndUpdate(

api/models/Prompt.js

@@ -1,3 +1,4 @@
+const mongoose = require('mongoose');
 const { ObjectId } = require('mongodb');
 const { SystemRoles, SystemCategories, Constants } = require('librechat-data-provider');
 const {
@@ -6,10 +7,13 @@ const {
   removeGroupIdsFromProject,
   removeGroupFromAllProjects,
 } = require('./Project');
-const { Prompt, PromptGroup } = require('./schema/promptSchema');
+const { promptGroupSchema, promptSchema } = require('@librechat/data-schemas');
 const { escapeRegExp } = require('~/server/utils');
 const { logger } = require('~/config');
 
+const PromptGroup = mongoose.model('PromptGroup', promptGroupSchema);
+const Prompt = mongoose.model('Prompt', promptSchema);
+
 /**
  * Create a pipeline for the aggregation to get prompt groups
  * @param {Object} query

api/models/Role.js

@@ -1,3 +1,4 @@
+const mongoose = require('mongoose');
 const {
   CacheKeys,
   SystemRoles,
@@ -12,9 +13,11 @@ const {
   temporaryChatPermissionsSchema,
 } = require('librechat-data-provider');
 const getLogStores = require('~/cache/getLogStores');
-const Role = require('~/models/schema/roleSchema');
+const { roleSchema } = require('@librechat/data-schemas');
 const { logger } = require('~/config');
 
+const Role = mongoose.model('Role', roleSchema);
+
 /**
  * Retrieve a role by name and convert the found role document to a plain object.
  * If the role with the given name doesn't exist and the name is a system defined role, create it and return the lean version.
@@ -168,6 +171,7 @@ const initializeRoles = async function () {
   }
 };
 module.exports = {
+  Role,
   getRoleByName,
   initializeRoles,
   updateRoleByName,

api/models/Role.spec.js

@@ -8,7 +8,7 @@ const {
 } = require('librechat-data-provider');
 const { updateAccessPermissions, initializeRoles } = require('~/models/Role');
 const getLogStores = require('~/cache/getLogStores');
-const Role = require('~/models/schema/roleSchema');
+const { Role } = require('~/models/Role');
 
 // Mock the cache
 jest.mock('~/cache/getLogStores', () => {

api/models/Session.js

@@ -1,7 +1,7 @@
 const mongoose = require('mongoose');
 const signPayload = require('~/server/services/signPayload');
 const { hashToken } = require('~/server/utils/crypto');
-const sessionSchema = require('./schema/session');
+const { sessionSchema } = require('@librechat/data-schemas');
 const { logger } = require('~/config');
 
 const Session = mongoose.model('Session', sessionSchema);

api/models/Share.js

@@ -1,7 +1,9 @@
+const mongoose = require('mongoose');
 const { nanoid } = require('nanoid');
 const { Constants } = require('librechat-data-provider');
 const { Conversation } = require('~/models/Conversation');
-const SharedLink = require('./schema/shareSchema');
+const { shareSchema } = require('@librechat/data-schemas');
+const SharedLink = mongoose.model('SharedLink', shareSchema);
 const { getMessages } = require('./Message');
 const logger = require('~/config/winston');
 

api/models/Token.js

@@ -1,6 +1,6 @@
 const mongoose = require('mongoose');
 const { encryptV2 } = require('~/server/utils/crypto');
-const tokenSchema = require('./schema/tokenSchema');
+const { tokenSchema } = require('@librechat/data-schemas');
 const { logger } = require('~/config');
 
 /**

api/models/ToolCall.js

@@ -1,9 +1,11 @@
-const ToolCall = require('./schema/toolCallSchema');
+const mongoose = require('mongoose');
+const { toolCallSchema } = require('@librechat/data-schemas');
+const ToolCall = mongoose.model('ToolCall', toolCallSchema);
 
 /**
  * Create a new tool call
- * @param {ToolCallData} toolCallData - The tool call data
- * @returns {Promise<ToolCallData>} The created tool call document
+ * @param {IToolCallData} toolCallData - The tool call data
+ * @returns {Promise<IToolCallData>} The created tool call document
  */
 async function createToolCall(toolCallData) {
   try {
@@ -16,7 +18,7 @@ async function createToolCall(toolCallData) {
 /**
  * Get a tool call by ID
  * @param {string} id - The tool call document ID
- * @returns {Promise<ToolCallData|null>} The tool call document or null if not found
+ * @returns {Promise<IToolCallData|null>} The tool call document or null if not found
  */
 async function getToolCallById(id) {
   try {
@@ -44,7 +46,7 @@ async function getToolCallsByMessage(messageId, userId) {
  * Get tool calls by conversation ID and user
  * @param {string} conversationId - The conversation ID
  * @param {string} userId - The user's ObjectId
- * @returns {Promise<ToolCallData[]>} Array of tool call documents
+ * @returns {Promise<IToolCallData[]>} Array of tool call documents
  */
 async function getToolCallsByConvo(conversationId, userId) {
   try {
@@ -57,8 +59,8 @@ async function getToolCallsByConvo(conversationId, userId) {
 /**
  * Update a tool call
  * @param {string} id - The tool call document ID
- * @param {Partial<ToolCallData>} updateData - The data to update
- * @returns {Promise<ToolCallData|null>} The updated tool call document or null if not found
+ * @param {Partial<IToolCallData>} updateData - The data to update
+ * @returns {Promise<IToolCallData|null>} The updated tool call document or null if not found
  */
 async function updateToolCall(id, updateData) {
   try {

api/models/Transaction.js

@@ -1,6 +1,6 @@
 const mongoose = require('mongoose');
 const { isEnabled } = require('~/server/utils/handleText');
-const transactionSchema = require('./schema/transaction');
+const { transactionSchema } = require('@librechat/data-schemas');
 const { getMultiplier, getCacheMultiplier } = require('./tx');
 const { logger } = require('~/config');
 const Balance = require('./Balance');

api/models/User.js

@@ -1,5 +1,5 @@
 const mongoose = require('mongoose');
-const userSchema = require('~/models/schema/userSchema');
+const { userSchema } = require('@librechat/data-schemas');
 
 const User = mongoose.model('User', userSchema);
 

api/models/groupMethods.js

@@ -0,0 +1,127 @@
+const User = require('./User');
+const Group = require('~/models/Group');
+
+/**
+ * Retrieve a group by ID and convert the found group document to a plain object.
+ *
+ * @param {string} groupId - The ID of the group to find and return as a plain object.
+ * @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
+ * @returns {Promise<Object|null>} A plain object representing the group document, or `null` if no group is found.
+ */
+const getGroupById = (groupId, fieldsToSelect = null) => {
+  const query = Group.findById(groupId);
+  if (fieldsToSelect) {
+    query.select(fieldsToSelect);
+  }
+  return query.lean();
+};
+
+/**
+ * Search for a single group or multiple groups based on partial data and return them as plain objects.
+ *
+ * @param {Partial<Object>} searchCriteria - The partial data to use for searching groups.
+ * @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned documents.
+ * @returns {Promise<Object[]>} An array of plain objects representing the group documents.
+ */
+const findGroup = (searchCriteria, fieldsToSelect = null) => {
+  const query = Group.find(searchCriteria);
+  if (fieldsToSelect) {
+    query.select(fieldsToSelect);
+  }
+  return query.lean();
+};
+
+/**
+ * Update a group with new data without overwriting existing properties.
+ *
+ * @param {string} groupId - The ID of the group to update.
+ * @param {Object} updateData - An object containing the properties to update.
+ * @returns {Promise<Object|null>} The updated group document as a plain object, or `null` if no group is found.
+ */
+const updateGroup = (groupId, updateData) => {
+  return Group.findByIdAndUpdate(
+    groupId,
+    { $set: updateData },
+    { new: true, runValidators: true },
+  ).lean();
+};
+
+/**
+ * Create a new group.
+ *
+ * @param {Object} data - The group data to be created.
+ * @returns {Promise<Object>} The created group document.
+ */
+const createGroup = async (data) => {
+  return await Group.create(data);
+};
+
+/**
+ * Count the number of group documents in the collection based on the provided filter.
+ *
+ * @param {Object} [filter={}] - The filter to apply when counting the documents.
+ * @returns {Promise<number>} The count of documents that match the filter.
+ */
+const countGroups = (filter = {}) => {
+  return Group.countDocuments(filter);
+};
+
+/**
+ * Delete a group by its unique ID only if no user is assigned to it.
+ *
+ * @param {string} groupId - The ID of the group to delete.
+ * @returns {Promise<{ deletedCount: number, message: string }>} An object indicating the number of deleted documents.
+ */
+const deleteGroupById = async (groupId) => {
+  // Check if any users reference the group
+  const userCount = await User.countDocuments({ groups: groupId });
+  if (userCount > 0) {
+    return { deletedCount: 0, message: `Cannot delete group; it is assigned to ${userCount} user(s).` };
+  }
+
+  try {
+    const result = await Group.deleteOne({ _id: groupId });
+    if (result.deletedCount === 0) {
+      return { deletedCount: 0, message: 'No group found with that ID.' };
+    }
+    return { deletedCount: result.deletedCount, message: 'Group was deleted successfully.' };
+  } catch (error) {
+    throw new Error('Error deleting group: ' + error.message);
+  }
+};
+
+/**
+ * Override deletion of a group by its unique ID.
+ * This function first removes the group ObjectId from all users' groups arrays,
+ * then proceeds to delete the group document.
+ *
+ * @param {string} groupId - The ID of the group to delete.
+ * @returns {Promise<{ deletedCount: number, message: string }>} An object indicating the deletion result.
+ */
+const overrideDeleteGroupById = async (groupId) => {
+  // Remove group references from all users
+  await User.updateMany(
+    { groups: groupId },
+    { $pull: { groups: groupId } },
+  );
+
+  try {
+    const result = await Group.deleteOne({ _id: groupId });
+    if (result.deletedCount === 0) {
+      return { deletedCount: 0, message: 'No group found with that ID.' };
+    }
+    return { deletedCount: result.deletedCount, message: 'Group was deleted successfully (override).' };
+  } catch (error) {
+    throw new Error('Error deleting group: ' + error.message);
+  }
+};
+
+module.exports = {
+  getGroupById,
+  findGroup,
+  updateGroup,
+  createGroup,
+  countGroups,
+  deleteGroupById,
+  overrideDeleteGroupById,
+};

api/models/index.js

@@ -40,6 +40,7 @@ const { getPreset, getPresets, savePreset, deletePresets } = require('./Preset')
 const { createToken, findToken, updateToken, deleteTokens } = require('./Token');
 const Balance = require('./Balance');
 const User = require('./User');
+const Group = require('./Group');
 const Key = require('./Key');
 
 module.exports = {
@@ -92,6 +93,7 @@ module.exports = {
   countActiveSessions,
 
   User,
+  Group,
   Key,
   Balance,
 };

api/models/plugins/mongoMeili.js

@@ -4,9 +4,28 @@ const { MeiliSearch } = require('meilisearch');
 const { cleanUpPrimaryKeyValue } = require('~/lib/utils/misc');
 const logger = require('~/config/meiliLogger');
 
+// Environment flags
+/**
+ * Flag to indicate if search is enabled based on environment variables.
+ * @type {boolean}
+ */
 const searchEnabled = process.env.SEARCH && process.env.SEARCH.toLowerCase() === 'true';
+
+/**
+ * Flag to indicate if MeiliSearch is enabled based on required environment variables.
+ * @type {boolean}
+ */
 const meiliEnabled = process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY && searchEnabled;
 
+/**
+ * Validates the required options for configuring the mongoMeili plugin.
+ *
+ * @param {Object} options - The configuration options.
+ * @param {string} options.host - The MeiliSearch host.
+ * @param {string} options.apiKey - The MeiliSearch API key.
+ * @param {string} options.indexName - The name of the index.
+ * @throws {Error} Throws an error if any required option is missing.
+ */
 const validateOptions = function (options) {
   const requiredKeys = ['host', 'apiKey', 'indexName'];
   requiredKeys.forEach((key) => {
@@ -16,53 +35,64 @@ const validateOptions = function (options) {
   });
 };
 
-// const createMeiliMongooseModel = function ({ index, indexName, client, attributesToIndex }) {
+/**
+ * Factory function to create a MeiliMongooseModel class which extends a Mongoose model.
+ * This class contains static and instance methods to synchronize and manage the MeiliSearch index
+ * corresponding to the MongoDB collection.
+ *
+ * @param {Object} config - Configuration object.
+ * @param {Object} config.index - The MeiliSearch index object.
+ * @param {Array<string>} config.attributesToIndex - List of attributes to index.
+ * @returns {Function} A class definition that will be loaded into the Mongoose schema.
+ */
 const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
+  // The primary key is assumed to be the first attribute in the attributesToIndex array.
   const primaryKey = attributesToIndex[0];
-  // MeiliMongooseModel is of type Mongoose.Model
+
   class MeiliMongooseModel {
     /**
-     * `syncWithMeili`: synchronizes the data between a MongoDB collection and a MeiliSearch index,
-     * only triggered if there's ever a discrepancy determined by `api\lib\db\indexSync.js`.
+     * Synchronizes the data between the MongoDB collection and the MeiliSearch index.
      *
-     * 1. Fetches all documents from the MongoDB collection and the MeiliSearch index.
-     * 2. Compares the documents from both sources.
-     * 3. If a document exists in MeiliSearch but not in MongoDB, it's deleted from MeiliSearch.
-     * 4. If a document exists in MongoDB but not in MeiliSearch, it's added to MeiliSearch.
-     * 5. If a document exists in both but has different `text` or `title` fields (depending on the `primaryKey`), it's updated in MeiliSearch.
-     * 6. After all operations, it updates the `_meiliIndex` field in MongoDB to indicate whether the document is indexed in MeiliSearch.
+     * The synchronization process involves:
+     *   1. Fetching all documents from the MongoDB collection and MeiliSearch index.
+     *   2. Comparing documents from both sources.
+     *   3. Deleting documents from MeiliSearch that no longer exist in MongoDB.
+     *   4. Adding documents to MeiliSearch that exist in MongoDB but not in the index.
+     *   5. Updating documents in MeiliSearch if key fields (such as `text` or `title`) differ.
+     *   6. Updating the `_meiliIndex` field in MongoDB to indicate the indexing status.
      *
-     * Note: This strategy does not use batch operations for Meilisearch as the `index.addDocuments` will discard
-     * the entire batch if there's an error with one document, and will not throw an error if there's an issue.
-     * Also, `index.getDocuments` needs an exact limit on the amount of documents to return, so we build the map in batches.
+     * Note: The function processes documents in batches because MeiliSearch's
+     * `index.getDocuments` requires an exact limit and `index.addDocuments` does not handle
+     * partial failures in a batch.
      *
-     * @returns {Promise} A promise that resolves when the synchronization is complete.
-     *
-     * @throws {Error} Throws an error if there's an issue with adding a document to MeiliSearch.
+     * @returns {Promise<void>} Resolves when the synchronization is complete.
      */
     static async syncWithMeili() {
       try {
         let moreDocuments = true;
+        // Retrieve all MongoDB documents from the collection as plain JavaScript objects.
         const mongoDocuments = await this.find().lean();
-        const format = (doc) => _.pick(doc, attributesToIndex);
 
-        // Prepare for comparison
+        // Helper function to format a document by selecting only the attributes to index
+        // and omitting keys starting with '$'.
+        const format = (doc) =>
+          _.omitBy(_.pick(doc, attributesToIndex), (v, k) => k.startsWith('$'));
+
+        // Build a map of MongoDB documents for quick lookup based on the primary key.
         const mongoMap = new Map(mongoDocuments.map((doc) => [doc[primaryKey], format(doc)]));
         const indexMap = new Map();
         let offset = 0;
         const batchSize = 1000;
 
+        // Fetch documents from the MeiliSearch index in batches.
         while (moreDocuments) {
           const batch = await index.getDocuments({ limit: batchSize, offset });
-
           if (batch.results.length === 0) {
             moreDocuments = false;
           }
-
           for (const doc of batch.results) {
             indexMap.set(doc[primaryKey], format(doc));
           }
-
           offset += batchSize;
         }
 
@@ -70,13 +100,12 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
 
         const updateOps = [];
 
-        // Iterate over Meili index documents
+        // Process documents present in the MeiliSearch index.
         for (const [id, doc] of indexMap) {
           const update = {};
           update[primaryKey] = id;
           if (mongoMap.has(id)) {
-            // Case: Update
-            // If document also exists in MongoDB, would be update case
+            // If document exists in MongoDB, check for discrepancies in key fields.
             if (
               (doc.text && doc.text !== mongoMap.get(id).text) ||
               (doc.title && doc.title !== mongoMap.get(id).title)
@@ -92,8 +121,7 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
               await index.addDocuments([doc]);
             }
           } else {
-            // Case: Delete
-            // If document does not exist in MongoDB, its a delete case from meili index
+            // If the document does not exist in MongoDB, delete it from MeiliSearch.
             await index.deleteDocument(id);
             updateOps.push({
               updateOne: { filter: update, update: { $set: { _meiliIndex: false } } },
@@ -101,24 +129,25 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
           }
         }
 
-        // Iterate over MongoDB documents
+        // Process documents present in MongoDB.
         for (const [id, doc] of mongoMap) {
           const update = {};
           update[primaryKey] = id;
-          // Case: Insert
-          // If document does not exist in Meili Index, Its an insert case
+          // If the document is missing in the Meili index, add it.
           if (!indexMap.has(id)) {
             await index.addDocuments([doc]);
             updateOps.push({
               updateOne: { filter: update, update: { $set: { _meiliIndex: true } } },
             });
           } else if (doc._meiliIndex === false) {
+            // If the document exists but is marked as not indexed, update the flag.
             updateOps.push({
               updateOne: { filter: update, update: { $set: { _meiliIndex: true } } },
             });
           }
         }
 
+        // Execute bulk update operations in MongoDB to update the _meiliIndex flags.
         if (updateOps.length > 0) {
           await this.collection.bulkWrite(updateOps);
           logger.debug(
@@ -132,34 +161,47 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
       }
     }
 
-    // Set one or more settings of the meili index
+    /**
+     * Updates settings for the MeiliSearch index.
+     *
+     * @param {Object} settings - The settings to update on the MeiliSearch index.
+     * @returns {Promise<Object>} Promise resolving to the update result.
+     */
     static async setMeiliIndexSettings(settings) {
       return await index.updateSettings(settings);
     }
 
-    // Search the index
+    /**
+     * Searches the MeiliSearch index and optionally populates the results with data from MongoDB.
+     *
+     * @param {string} q - The search query.
+     * @param {Object} params - Additional search parameters for MeiliSearch.
+     * @param {boolean} populate - Whether to populate search hits with full MongoDB documents.
+     * @returns {Promise<Object>} The search results with populated hits if requested.
+     */
     static async meiliSearch(q, params, populate) {
       const data = await index.search(q, params);
 
-      // Populate hits with content from mongodb
       if (populate) {
-        // Find objects into mongodb matching `objectID` from Meili search
+        // Build a query using the primary key values from the search hits.
         const query = {};
-        // query[primaryKey] = { $in: _.map(data.hits, primaryKey) };
         query[primaryKey] = _.map(data.hits, (hit) => cleanUpPrimaryKeyValue(hit[primaryKey]));
-        // logger.debug('query', query);
-        const hitsFromMongoose = await this.find(
-          query,
-          _.reduce(
-            this.schema.obj,
-            function (results, value, key) {
-              return { ...results, [key]: 1 };
-            },
-            { _id: 1, __v: 1 },
-          ),
-        ).lean();
 
-        // Add additional data from mongodb into Meili search hits
+        // Build a projection object, including only keys that do not start with '$'.
+        const projection = Object.keys(this.schema.obj).reduce(
+          (results, key) => {
+            if (!key.startsWith('$')) {
+              results[key] = 1;
+            }
+            return results;
+          },
+          { _id: 1, __v: 1 },
+        );
+
+        // Retrieve the full documents from MongoDB.
+        const hitsFromMongoose = await this.find(query, projection).lean();
+
+        // Merge the MongoDB documents with the search hits.
         const populatedHits = data.hits.map(function (hit) {
           const query = {};
           query[primaryKey] = hit[primaryKey];
@@ -176,10 +218,21 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
       return data;
     }
 
+    /**
+     * Preprocesses the current document for indexing.
+     *
+     * This method:
+     *  - Picks only the defined attributes to index.
+     *  - Omits any keys starting with '$'.
+     *  - Replaces pipe characters ('|') in `conversationId` with '--'.
+     *  - Extracts and concatenates text from an array of content items.
+     *
+     * @returns {Object} The preprocessed object ready for indexing.
+     */
     preprocessObjectForIndex() {
-      const object = _.pick(this.toJSON(), attributesToIndex);
-      // NOTE: MeiliSearch does not allow | in primary key, so we replace it with - for Bing convoIds
-      // object.conversationId = object.conversationId.replace(/\|/g, '-');
+      const object = _.omitBy(_.pick(this.toJSON(), attributesToIndex), (v, k) =>
+        k.startsWith('$'),
+      );
       if (object.conversationId && object.conversationId.includes('|')) {
         object.conversationId = object.conversationId.replace(/\|/g, '--');
       }
@@ -195,32 +248,53 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
       return object;
     }
 
-    // Push new document to Meili
+    /**
+     * Adds the current document to the MeiliSearch index.
+     *
+     * The method preprocesses the document, adds it to MeiliSearch, and then updates
+     * the MongoDB document's `_meiliIndex` flag to true.
+     *
+     * @returns {Promise<void>}
+     */
     async addObjectToMeili() {
       const object = this.preprocessObjectForIndex();
       try {
-        // logger.debug('Adding document to Meili', object);
         await index.addDocuments([object]);
       } catch (error) {
-        // logger.debug('Error adding document to Meili');
-        // logger.error(error);
+        // Error handling can be enhanced as needed.
+        logger.error('[addObjectToMeili] Error adding document to Meili', error);
       }
 
       await this.collection.updateMany({ _id: this._id }, { $set: { _meiliIndex: true } });
     }
 
-    // Update an existing document in Meili
+    /**
+     * Updates the current document in the MeiliSearch index.
+     *
+     * @returns {Promise<void>}
+     */
     async updateObjectToMeili() {
-      const object = _.pick(this.toJSON(), attributesToIndex);
+      const object = _.omitBy(_.pick(this.toJSON(), attributesToIndex), (v, k) =>
+        k.startsWith('$'),
+      );
       await index.updateDocuments([object]);
     }
 
-    // Delete a document from Meili
+    /**
+     * Deletes the current document from the MeiliSearch index.
+     *
+     * @returns {Promise<void>}
+     */
     async deleteObjectFromMeili() {
       await index.deleteDocument(this._id);
     }
 
-    // * schema.post('save')
+    /**
+     * Post-save hook to synchronize the document with MeiliSearch.
+     *
+     * If the document is already indexed (i.e. `_meiliIndex` is true), it updates it;
+     * otherwise, it adds the document to the index.
+     */
     postSaveHook() {
       if (this._meiliIndex) {
         this.updateObjectToMeili();
@@ -229,14 +303,24 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
       }
     }
 
-    // * schema.post('update')
+    /**
+     * Post-update hook to update the document in MeiliSearch.
+     *
+     * This hook is triggered after a document update, ensuring that changes are
+     * propagated to the MeiliSearch index if the document is indexed.
+     */
     postUpdateHook() {
       if (this._meiliIndex) {
         this.updateObjectToMeili();
       }
     }
 
-    // * schema.post('remove')
+    /**
+     * Post-remove hook to delete the document from MeiliSearch.
+     *
+     * This hook is triggered after a document is removed, ensuring that the document
+     * is also removed from the MeiliSearch index if it was previously indexed.
+     */
     postRemoveHook() {
       if (this._meiliIndex) {
         this.deleteObjectFromMeili();
@@ -247,11 +331,27 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
   return MeiliMongooseModel;
 };
 
+/**
+ * Mongoose plugin to synchronize MongoDB collections with a MeiliSearch index.
+ *
+ * This plugin:
+ *   - Validates the provided options.
+ *   - Adds a `_meiliIndex` field to the schema to track indexing status.
+ *   - Sets up a MeiliSearch client and creates an index if it doesn't already exist.
+ *   - Loads class methods for syncing, searching, and managing documents in MeiliSearch.
+ *   - Registers Mongoose hooks (post-save, post-update, post-remove, etc.) to maintain index consistency.
+ *
+ * @param {mongoose.Schema} schema - The Mongoose schema to which the plugin is applied.
+ * @param {Object} options - Configuration options.
+ * @param {string} options.host - The MeiliSearch host.
+ * @param {string} options.apiKey - The MeiliSearch API key.
+ * @param {string} options.indexName - The name of the MeiliSearch index.
+ * @param {string} options.primaryKey - The primary key field for indexing.
+ */
 module.exports = function mongoMeili(schema, options) {
-  // Vaidate Options for mongoMeili
   validateOptions(options);
 
-  // Add meiliIndex to schema
+  // Add _meiliIndex field to the schema to track if a document has been indexed in MeiliSearch.
   schema.add({
     _meiliIndex: {
       type: Boolean,
@@ -263,69 +363,77 @@ module.exports = function mongoMeili(schema, options) {
 
   const { host, apiKey, indexName, primaryKey } = options;
 
-  // Setup MeiliSearch Client
+  // Setup the MeiliSearch client.
   const client = new MeiliSearch({ host, apiKey });
 
-  // Asynchronously create the index
+  // Create the index asynchronously if it doesn't exist.
   client.createIndex(indexName, { primaryKey });
 
-  // Setup the index to search for this schema
+  // Setup the MeiliSearch index for this schema.
   const index = client.index(indexName);
 
+  // Collect attributes from the schema that should be indexed.
   const attributesToIndex = [
     ..._.reduce(
       schema.obj,
       function (results, value, key) {
         return value.meiliIndex ? [...results, key] : results;
-        // }, []), '_id'];
       },
       [],
     ),
   ];
 
+  // Load the class methods into the schema.
   schema.loadClass(createMeiliMongooseModel({ index, indexName, client, attributesToIndex }));
 
-  // Register hooks
+  // Register Mongoose hooks to synchronize with MeiliSearch.
+
+  // Post-save: synchronize after a document is saved.
   schema.post('save', function (doc) {
     doc.postSaveHook();
   });
+
+  // Post-update: synchronize after a document is updated.
   schema.post('update', function (doc) {
     doc.postUpdateHook();
   });
+
+  // Post-remove: synchronize after a document is removed.
   schema.post('remove', function (doc) {
     doc.postRemoveHook();
   });
 
+  // Pre-deleteMany hook: remove corresponding documents from MeiliSearch when multiple documents are deleted.
   schema.pre('deleteMany', async function (next) {
     if (!meiliEnabled) {
-      next();
+      return next();
     }
 
     try {
+      // Check if the schema has a "messages" field to determine if it's a conversation schema.
       if (Object.prototype.hasOwnProperty.call(schema.obj, 'messages')) {
         const convoIndex = client.index('convos');
         const deletedConvos = await mongoose.model('Conversation').find(this._conditions).lean();
-        let promises = [];
-        for (const convo of deletedConvos) {
-          promises.push(convoIndex.deleteDocument(convo.conversationId));
-        }
+        const promises = deletedConvos.map((convo) =>
+          convoIndex.deleteDocument(convo.conversationId),
+        );
         await Promise.all(promises);
       }
 
+      // Check if the schema has a "messageId" field to determine if it's a message schema.
       if (Object.prototype.hasOwnProperty.call(schema.obj, 'messageId')) {
         const messageIndex = client.index('messages');
         const deletedMessages = await mongoose.model('Message').find(this._conditions).lean();
-        let promises = [];
-        for (const message of deletedMessages) {
-          promises.push(messageIndex.deleteDocument(message.messageId));
-        }
+        const promises = deletedMessages.map((message) =>
+          messageIndex.deleteDocument(message.messageId),
+        );
         await Promise.all(promises);
       }
       return next();
     } catch (error) {
       if (meiliEnabled) {
         logger.error(
-          '[MeiliMongooseModel.deleteMany] There was an issue deleting conversation indexes upon deletion, next startup may be slow due to syncing',
+          '[MeiliMongooseModel.deleteMany] There was an issue deleting conversation indexes upon deletion. Next startup may be slow due to syncing.',
           error,
         );
       }
@@ -333,17 +441,19 @@ module.exports = function mongoMeili(schema, options) {
     }
   });
 
+  // Post-findOneAndUpdate hook: update MeiliSearch index after a document is updated via findOneAndUpdate.
   schema.post('findOneAndUpdate', async function (doc) {
     if (!meiliEnabled) {
       return;
     }
 
+    // If the document is unfinished, do not update the index.
     if (doc.unfinished) {
       return;
     }
 
     let meiliDoc;
-    // Doc is a Conversation
+    // For conversation documents, try to fetch the document from the "convos" index.
     if (doc.messages) {
       try {
         meiliDoc = await client.index('convos').getDocument(doc.conversationId);
@@ -356,10 +466,12 @@ module.exports = function mongoMeili(schema, options) {
       }
     }
 
+    // If the MeiliSearch document exists and the title is unchanged, do nothing.
     if (meiliDoc && meiliDoc.title === doc.title) {
       return;
     }
 
+    // Otherwise, trigger a post-save hook to synchronize the document.
     doc.postSaveHook();
   });
 };

api/models/schema/action.js

@@ -1,60 +0,0 @@
-const mongoose = require('mongoose');
-
-const { Schema } = mongoose;
-
-const AuthSchema = new Schema(
-  {
-    authorization_type: String,
-    custom_auth_header: String,
-    type: {
-      type: String,
-      enum: ['service_http', 'oauth', 'none'],
-    },
-    authorization_content_type: String,
-    authorization_url: String,
-    client_url: String,
-    scope: String,
-    token_exchange_method: {
-      type: String,
-      enum: ['default_post', 'basic_auth_header', null],
-    },
-  },
-  { _id: false },
-);
-
-const actionSchema = new Schema({
-  user: {
-    type: mongoose.Schema.Types.ObjectId,
-    ref: 'User',
-    index: true,
-    required: true,
-  },
-  action_id: {
-    type: String,
-    index: true,
-    required: true,
-  },
-  type: {
-    type: String,
-    default: 'action_prototype',
-  },
-  settings: Schema.Types.Mixed,
-  agent_id: String,
-  assistant_id: String,
-  metadata: {
-    api_key: String, // private, encrypted
-    auth: AuthSchema,
-    domain: {
-      type: String,
-      required: true,
-    },
-    // json_schema: Schema.Types.Mixed,
-    privacy_policy_url: String,
-    raw_spec: String,
-    oauth_client_id: String, // private, encrypted
-    oauth_client_secret: String, // private, encrypted
-  },
-});
-// }, { minimize: false }); // Prevent removal of empty objects
-
-module.exports = actionSchema;

api/models/schema/balance.js

@@ -1,17 +0,0 @@
-const mongoose = require('mongoose');
-
-const balanceSchema = mongoose.Schema({
-  user: {
-    type: mongoose.Schema.Types.ObjectId,
-    ref: 'User',
-    index: true,
-    required: true,
-  },
-  // 1000 tokenCredits = 1 mill ($0.001 USD)
-  tokenCredits: {
-    type: Number,
-    default: 0,
-  },
-});
-
-module.exports = balanceSchema;

api/models/schema/categories.js

@@ -1,19 +0,0 @@
-const mongoose = require('mongoose');
-const Schema = mongoose.Schema;
-
-const categoriesSchema = new Schema({
-  label: {
-    type: String,
-    required: true,
-    unique: true,
-  },
-  value: {
-    type: String,
-    required: true,
-    unique: true,
-  },
-});
-
-const categories = mongoose.model('categories', categoriesSchema);
-
-module.exports = { Categories: categories };

api/models/schema/conversationTagSchema.js

@@ -1,32 +0,0 @@
-const mongoose = require('mongoose');
-
-const conversationTagSchema = mongoose.Schema(
-  {
-    tag: {
-      type: String,
-      index: true,
-    },
-    user: {
-      type: String,
-      index: true,
-    },
-    description: {
-      type: String,
-      index: true,
-    },
-    count: {
-      type: Number,
-      default: 0,
-    },
-    position: {
-      type: Number,
-      default: 0,
-      index: true,
-    },
-  },
-  { timestamps: true },
-);
-
-conversationTagSchema.index({ tag: 1, user: 1 }, { unique: true });
-
-module.exports = mongoose.model('ConversationTag', conversationTagSchema);

api/models/schema/convoSchema.js

@@ -1,46 +1,7 @@
 const mongoose = require('mongoose');
 const mongoMeili = require('../plugins/mongoMeili');
-const { conversationPreset } = require('./defaults');
-const convoSchema = mongoose.Schema(
-  {
-    conversationId: {
-      type: String,
-      unique: true,
-      required: true,
-      index: true,
-      meiliIndex: true,
-    },
-    title: {
-      type: String,
-      default: 'New Chat',
-      meiliIndex: true,
-    },
-    user: {
-      type: String,
-      index: true,
-    },
-    messages: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Message' }],
-    agentOptions: {
-      type: mongoose.Schema.Types.Mixed,
-    },
-    ...conversationPreset,
-    agent_id: {
-      type: String,
-    },
-    tags: {
-      type: [String],
-      default: [],
-      meiliIndex: true,
-    },
-    files: {
-      type: [String],
-    },
-    expiredAt: {
-      type: Date,
-    },
-  },
-  { timestamps: true },
-);
+
+const { convoSchema } = require('@librechat/data-schemas');
 
 if (process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY) {
   convoSchema.plugin(mongoMeili, {
@@ -52,10 +13,6 @@ if (process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY) {
   });
 }
 
-convoSchema.index({ expiredAt: 1 }, { expireAfterSeconds: 0 });
-convoSchema.index({ createdAt: 1, updatedAt: 1 });
-convoSchema.index({ conversationId: 1, user: 1 }, { unique: true });
-
 const Conversation = mongoose.models.Conversation || mongoose.model('Conversation', convoSchema);
 
 module.exports = Conversation;

api/models/schema/fileSchema.js

@@ -1,111 +0,0 @@
-const { FileSources } = require('librechat-data-provider');
-const mongoose = require('mongoose');
-
-/**
- * @typedef {Object} MongoFile
- * @property {ObjectId} [_id] - MongoDB Document ID
- * @property {number} [__v] - MongoDB Version Key
- * @property {ObjectId} user - User ID
- * @property {string} [conversationId] - Optional conversation ID
- * @property {string} file_id - File identifier
- * @property {string} [temp_file_id] - Temporary File identifier
- * @property {number} bytes - Size of the file in bytes
- * @property {string} filename - Name of the file
- * @property {string} filepath - Location of the file
- * @property {'file'} object - Type of object, always 'file'
- * @property {string} type - Type of file
- * @property {number} [usage=0] - Number of uses of the file
- * @property {string} [context] - Context of the file origin
- * @property {boolean} [embedded=false] - Whether or not the file is embedded in vector db
- * @property {string} [model] - The model to identify the group region of the file (for Azure OpenAI hosting)
- * @property {string} [source] - The source of the file (e.g., from FileSources)
- * @property {number} [width] - Optional width of the file
- * @property {number} [height] - Optional height of the file
- * @property {Object} [metadata] - Metadata related to the file
- * @property {string} [metadata.fileIdentifier] - Unique identifier for the file in metadata
- * @property {Date} [expiresAt] - Optional expiration date of the file
- * @property {Date} [createdAt] - Date when the file was created
- * @property {Date} [updatedAt] - Date when the file was updated
- */
-
-/** @type {MongooseSchema<MongoFile>} */
-const fileSchema = mongoose.Schema(
-  {
-    user: {
-      type: mongoose.Schema.Types.ObjectId,
-      ref: 'User',
-      index: true,
-      required: true,
-    },
-    conversationId: {
-      type: String,
-      ref: 'Conversation',
-      index: true,
-    },
-    file_id: {
-      type: String,
-      // required: true,
-      index: true,
-    },
-    temp_file_id: {
-      type: String,
-      // required: true,
-    },
-    bytes: {
-      type: Number,
-      required: true,
-    },
-    filename: {
-      type: String,
-      required: true,
-    },
-    filepath: {
-      type: String,
-      required: true,
-    },
-    object: {
-      type: String,
-      required: true,
-      default: 'file',
-    },
-    embedded: {
-      type: Boolean,
-    },
-    type: {
-      type: String,
-      required: true,
-    },
-    context: {
-      type: String,
-      // required: true,
-    },
-    usage: {
-      type: Number,
-      required: true,
-      default: 0,
-    },
-    source: {
-      type: String,
-      default: FileSources.local,
-    },
-    model: {
-      type: String,
-    },
-    width: Number,
-    height: Number,
-    metadata: {
-      fileIdentifier: String,
-    },
-    expiresAt: {
-      type: Date,
-      expires: 3600, // 1 hour in seconds
-    },
-  },
-  {
-    timestamps: true,
-  },
-);
-
-fileSchema.index({ createdAt: 1, updatedAt: 1 });
-
-module.exports = fileSchema;

api/models/schema/messageSchema.js

@@ -1,145 +1,6 @@
 const mongoose = require('mongoose');
 const mongoMeili = require('~/models/plugins/mongoMeili');
-const messageSchema = mongoose.Schema(
-  {
-    messageId: {
-      type: String,
-      unique: true,
-      required: true,
-      index: true,
-      meiliIndex: true,
-    },
-    conversationId: {
-      type: String,
-      index: true,
-      required: true,
-      meiliIndex: true,
-    },
-    user: {
-      type: String,
-      index: true,
-      required: true,
-      default: null,
-    },
-    model: {
-      type: String,
-      default: null,
-    },
-    endpoint: {
-      type: String,
-    },
-    conversationSignature: {
-      type: String,
-    },
-    clientId: {
-      type: String,
-    },
-    invocationId: {
-      type: Number,
-    },
-    parentMessageId: {
-      type: String,
-    },
-    tokenCount: {
-      type: Number,
-    },
-    summaryTokenCount: {
-      type: Number,
-    },
-    sender: {
-      type: String,
-      meiliIndex: true,
-    },
-    text: {
-      type: String,
-      meiliIndex: true,
-    },
-    summary: {
-      type: String,
-    },
-    isCreatedByUser: {
-      type: Boolean,
-      required: true,
-      default: false,
-    },
-    unfinished: {
-      type: Boolean,
-      default: false,
-    },
-    error: {
-      type: Boolean,
-      default: false,
-    },
-    finish_reason: {
-      type: String,
-    },
-    _meiliIndex: {
-      type: Boolean,
-      required: false,
-      select: false,
-      default: false,
-    },
-    files: { type: [{ type: mongoose.Schema.Types.Mixed }], default: undefined },
-    plugin: {
-      type: {
-        latest: {
-          type: String,
-          required: false,
-        },
-        inputs: {
-          type: [mongoose.Schema.Types.Mixed],
-          required: false,
-          default: undefined,
-        },
-        outputs: {
-          type: String,
-          required: false,
-        },
-      },
-      default: undefined,
-    },
-    plugins: { type: [{ type: mongoose.Schema.Types.Mixed }], default: undefined },
-    content: {
-      type: [{ type: mongoose.Schema.Types.Mixed }],
-      default: undefined,
-      meiliIndex: true,
-    },
-    thread_id: {
-      type: String,
-    },
-    /* frontend components */
-    iconURL: {
-      type: String,
-    },
-    attachments: { type: [{ type: mongoose.Schema.Types.Mixed }], default: undefined },
-    /*
-    attachments: {
-      type: [
-        {
-          file_id: String,
-          filename: String,
-          filepath: String,
-          expiresAt: Date,
-          width: Number,
-          height: Number,
-          type: String,
-          conversationId: String,
-          messageId: {
-            type: String,
-            required: true,
-          },
-          toolCallId: String,
-        },
-      ],
-      default: undefined,
-    },
-    */
-    expiredAt: {
-      type: Date,
-    },
-  },
-  { timestamps: true },
-);
+const { messageSchema } = require('@librechat/data-schemas');
 
 if (process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY) {
   messageSchema.plugin(mongoMeili, {
@@ -149,11 +10,7 @@ if (process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY) {
     primaryKey: 'messageId',
   });
 }
-messageSchema.index({ expiredAt: 1 }, { expireAfterSeconds: 0 });
-messageSchema.index({ createdAt: 1 });
-messageSchema.index({ messageId: 1, user: 1 }, { unique: true });
 
-/** @type {mongoose.Model<TMessage>} */
 const Message = mongoose.models.Message || mongoose.model('Message', messageSchema);
 
 module.exports = Message;

api/models/schema/pluginAuthSchema.js

@@ -1,25 +1,5 @@
 const mongoose = require('mongoose');
-
-const pluginAuthSchema = mongoose.Schema(
-  {
-    authField: {
-      type: String,
-      required: true,
-    },
-    value: {
-      type: String,
-      required: true,
-    },
-    userId: {
-      type: String,
-      required: true,
-    },
-    pluginKey: {
-      type: String,
-    },
-  },
-  { timestamps: true },
-);
+const { pluginAuthSchema } = require('@librechat/data-schemas');
 
 const PluginAuth = mongoose.models.Plugin || mongoose.model('PluginAuth', pluginAuthSchema);
 

api/models/schema/presetSchema.js

@@ -1,36 +1,5 @@
 const mongoose = require('mongoose');
-const { conversationPreset } = require('./defaults');
-const presetSchema = mongoose.Schema(
-  {
-    presetId: {
-      type: String,
-      unique: true,
-      required: true,
-      index: true,
-    },
-    title: {
-      type: String,
-      default: 'New Chat',
-      meiliIndex: true,
-    },
-    user: {
-      type: String,
-      default: null,
-    },
-    defaultPreset: {
-      type: Boolean,
-    },
-    order: {
-      type: Number,
-    },
-    ...conversationPreset,
-    agentOptions: {
-      type: mongoose.Schema.Types.Mixed,
-      default: null,
-    },
-  },
-  { timestamps: true },
-);
+const { presetSchema } = require('@librechat/data-schemas');
 
 const Preset = mongoose.models.Preset || mongoose.model('Preset', presetSchema);
 

api/models/schema/projectSchema.js

@@ -1,35 +0,0 @@
-const { Schema } = require('mongoose');
-
-/**
- * @typedef {Object} MongoProject
- * @property {ObjectId} [_id] - MongoDB Document ID
- * @property {string} name - The name of the project
- * @property {ObjectId[]} promptGroupIds - Array of PromptGroup IDs associated with the project
- * @property {Date} [createdAt] - Date when the project was created (added by timestamps)
- * @property {Date} [updatedAt] - Date when the project was last updated (added by timestamps)
- */
-
-const projectSchema = new Schema(
-  {
-    name: {
-      type: String,
-      required: true,
-      index: true,
-    },
-    promptGroupIds: {
-      type: [Schema.Types.ObjectId],
-      ref: 'PromptGroup',
-      default: [],
-    },
-    agentIds: {
-      type: [String],
-      ref: 'Agent',
-      default: [],
-    },
-  },
-  {
-    timestamps: true,
-  },
-);
-
-module.exports = projectSchema;

api/models/schema/promptSchema.js

@@ -1,118 +0,0 @@
-const mongoose = require('mongoose');
-const { Constants } = require('librechat-data-provider');
-const Schema = mongoose.Schema;
-
-/**
- * @typedef {Object} MongoPromptGroup
- * @property {ObjectId} [_id] - MongoDB Document ID
- * @property {string} name - The name of the prompt group
- * @property {ObjectId} author - The author of the prompt group
- * @property {ObjectId} [projectId=null] - The project ID of the prompt group
- * @property {ObjectId} [productionId=null] - The project ID of the prompt group
- * @property {string} authorName - The name of the author of the prompt group
- * @property {number} [numberOfGenerations=0] - Number of generations the prompt group has
- * @property {string} [oneliner=''] - Oneliner description of the prompt group
- * @property {string} [category=''] - Category of the prompt group
- * @property {string} [command] - Command for the prompt group
- * @property {Date} [createdAt] - Date when the prompt group was created (added by timestamps)
- * @property {Date} [updatedAt] - Date when the prompt group was last updated (added by timestamps)
- */
-
-const promptGroupSchema = new Schema(
-  {
-    name: {
-      type: String,
-      required: true,
-      index: true,
-    },
-    numberOfGenerations: {
-      type: Number,
-      default: 0,
-    },
-    oneliner: {
-      type: String,
-      default: '',
-    },
-    category: {
-      type: String,
-      default: '',
-      index: true,
-    },
-    projectIds: {
-      type: [Schema.Types.ObjectId],
-      ref: 'Project',
-      index: true,
-    },
-    productionId: {
-      type: Schema.Types.ObjectId,
-      ref: 'Prompt',
-      required: true,
-      index: true,
-    },
-    author: {
-      type: Schema.Types.ObjectId,
-      ref: 'User',
-      required: true,
-      index: true,
-    },
-    authorName: {
-      type: String,
-      required: true,
-    },
-    command: {
-      type: String,
-      index: true,
-      validate: {
-        validator: function (v) {
-          return v === undefined || v === null || v === '' || /^[a-z0-9-]+$/.test(v);
-        },
-        message: (props) =>
-          `${props.value} is not a valid command. Only lowercase alphanumeric characters and highfins (') are allowed.`,
-      },
-      maxlength: [
-        Constants.COMMANDS_MAX_LENGTH,
-        `Command cannot be longer than ${Constants.COMMANDS_MAX_LENGTH} characters`,
-      ],
-    },
-  },
-  {
-    timestamps: true,
-  },
-);
-
-const PromptGroup = mongoose.model('PromptGroup', promptGroupSchema);
-
-const promptSchema = new Schema(
-  {
-    groupId: {
-      type: Schema.Types.ObjectId,
-      ref: 'PromptGroup',
-      required: true,
-      index: true,
-    },
-    author: {
-      type: Schema.Types.ObjectId,
-      ref: 'User',
-      required: true,
-    },
-    prompt: {
-      type: String,
-      required: true,
-    },
-    type: {
-      type: String,
-      enum: ['text', 'chat'],
-      required: true,
-    },
-  },
-  {
-    timestamps: true,
-  },
-);
-
-const Prompt = mongoose.model('Prompt', promptSchema);
-
-promptSchema.index({ createdAt: 1, updatedAt: 1 });
-promptGroupSchema.index({ createdAt: 1, updatedAt: 1 });
-
-module.exports = { Prompt, PromptGroup };

api/models/schema/session.js

@@ -1,20 +0,0 @@
-const mongoose = require('mongoose');
-
-const sessionSchema = mongoose.Schema({
-  refreshTokenHash: {
-    type: String,
-    required: true,
-  },
-  expiration: {
-    type: Date,
-    required: true,
-    expires: 0,
-  },
-  user: {
-    type: mongoose.Schema.Types.ObjectId,
-    ref: 'User',
-    required: true,
-  },
-});
-
-module.exports = sessionSchema;

api/models/schema/toolCallSchema.js

@@ -1,54 +0,0 @@
-const mongoose = require('mongoose');
-
-/**
- * @typedef {Object} ToolCallData
- * @property {string} conversationId - The ID of the conversation
- * @property {string} messageId - The ID of the message
- * @property {string} toolId - The ID of the tool
- * @property {string | ObjectId} user - The user's ObjectId
- * @property {unknown} [result] - Optional result data
- * @property {TAttachment[]} [attachments] - Optional attachments data
- * @property {number} [blockIndex] - Optional code block index
- * @property {number} [partIndex] - Optional part index
- */
-
-/** @type {MongooseSchema<ToolCallData>} */
-const toolCallSchema = mongoose.Schema(
-  {
-    conversationId: {
-      type: String,
-      required: true,
-    },
-    messageId: {
-      type: String,
-      required: true,
-    },
-    toolId: {
-      type: String,
-      required: true,
-    },
-    user: {
-      type: mongoose.Schema.Types.ObjectId,
-      ref: 'User',
-      required: true,
-    },
-    result: {
-      type: mongoose.Schema.Types.Mixed,
-    },
-    attachments: {
-      type: mongoose.Schema.Types.Mixed,
-    },
-    blockIndex: {
-      type: Number,
-    },
-    partIndex: {
-      type: Number,
-    },
-  },
-  { timestamps: true },
-);
-
-toolCallSchema.index({ messageId: 1, user: 1 });
-toolCallSchema.index({ conversationId: 1, user: 1 });
-
-module.exports = mongoose.model('ToolCall', toolCallSchema);

api/models/schema/userSchema.js

@@ -1,151 +0,0 @@
-const mongoose = require('mongoose');
-const { SystemRoles } = require('librechat-data-provider');
-
-/**
- * @typedef {Object} MongoSession
- * @property {string} [refreshToken] - The refresh token
- */
-
-/**
- * @typedef {Object} MongoUser
- * @property {ObjectId} [_id] - MongoDB Document ID
- * @property {string} [name] - The user's name
- * @property {string} [username] - The user's username, in lowercase
- * @property {string} email - The user's email address
- * @property {boolean} emailVerified - Whether the user's email is verified
- * @property {string} [password] - The user's password, trimmed with 8-128 characters
- * @property {string} [avatar] - The URL of the user's avatar
- * @property {string} provider - The provider of the user's account (e.g., 'local', 'google')
- * @property {string} [role='USER'] - The role of the user
- * @property {string} [googleId] - Optional Google ID for the user
- * @property {string} [facebookId] - Optional Facebook ID for the user
- * @property {string} [openidId] - Optional OpenID ID for the user
- * @property {string} [ldapId] - Optional LDAP ID for the user
- * @property {string} [githubId] - Optional GitHub ID for the user
- * @property {string} [discordId] - Optional Discord ID for the user
- * @property {string} [appleId] - Optional Apple ID for the user
- * @property {Array} [plugins=[]] - List of plugins used by the user
- * @property {Array.<MongoSession>} [refreshToken] - List of sessions with refresh tokens
- * @property {Date} [expiresAt] - Optional expiration date of the file
- * @property {Date} [createdAt] - Date when the user was created (added by timestamps)
- * @property {Date} [updatedAt] - Date when the user was last updated (added by timestamps)
- */
-
-/** @type {MongooseSchema<MongoSession>} */
-const Session = mongoose.Schema({
-  refreshToken: {
-    type: String,
-    default: '',
-  },
-});
-
-const backupCodeSchema = mongoose.Schema({
-  codeHash: { type: String, required: true },
-  used: { type: Boolean, default: false },
-  usedAt: { type: Date, default: null },
-});
-
-/** @type {MongooseSchema<MongoUser>} */
-const userSchema = mongoose.Schema(
-  {
-    name: {
-      type: String,
-    },
-    username: {
-      type: String,
-      lowercase: true,
-      default: '',
-    },
-    email: {
-      type: String,
-      required: [true, 'can\'t be blank'],
-      lowercase: true,
-      unique: true,
-      match: [/\S+@\S+\.\S+/, 'is invalid'],
-      index: true,
-    },
-    emailVerified: {
-      type: Boolean,
-      required: true,
-      default: false,
-    },
-    password: {
-      type: String,
-      trim: true,
-      minlength: 8,
-      maxlength: 128,
-    },
-    avatar: {
-      type: String,
-      required: false,
-    },
-    provider: {
-      type: String,
-      required: true,
-      default: 'local',
-    },
-    role: {
-      type: String,
-      default: SystemRoles.USER,
-    },
-    googleId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    facebookId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    openidId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    ldapId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    githubId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    discordId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    appleId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
-    plugins: {
-      type: Array,
-    },
-    totpSecret: {
-      type: String,
-    },
-    backupCodes: {
-      type: [backupCodeSchema],
-    },
-    refreshToken: {
-      type: [Session],
-    },
-    expiresAt: {
-      type: Date,
-      expires: 604800, // 7 days in seconds
-    },
-    termsAccepted: {
-      type: Boolean,
-      default: false,
-    },
-  },
-
-  { timestamps: true },
-);
-
-module.exports = userSchema;

api/models/tx.js

@@ -61,6 +61,7 @@ const bedrockValues = {
   '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 },
+  'deepseek.r1': { prompt: 1.35, completion: 5.4 },
 };
 
 /**
@@ -79,6 +80,7 @@ const tokenValues = Object.assign(
     'o1-mini': { prompt: 1.1, completion: 4.4 },
     'o1-preview': { prompt: 15, completion: 60 },
     o1: { prompt: 15, completion: 60 },
+    'gpt-4.5': { prompt: 75, completion: 150 },
     'gpt-4o-mini': { prompt: 0.15, completion: 0.6 },
     'gpt-4o': { prompt: 2.5, completion: 10 },
     'gpt-4o-2024-05-13': { prompt: 5, completion: 15 },
@@ -167,6 +169,8 @@ const getValueKey = (model, endpoint) => {
     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-4o-2024-05-13')) {
     return 'gpt-4o-2024-05-13';
   } else if (modelName.includes('gpt-4o-mini')) {

api/models/tx.spec.js

@@ -50,6 +50,16 @@ describe('getValueKey', () => {
     expect(getValueKey('gpt-4-0125')).toBe('gpt-4-1106');
   });
 
+  it('should return "gpt-4.5" for model type of "gpt-4.5"', () => {
+    expect(getValueKey('gpt-4.5-preview')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-2024-08-06')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-2024-08-06-0718')).toBe('gpt-4.5');
+    expect(getValueKey('openai/gpt-4.5')).toBe('gpt-4.5');
+    expect(getValueKey('openai/gpt-4.5-2024-08-06')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-turbo')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-0125')).toBe('gpt-4.5');
+  });
+
   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');
@@ -278,7 +288,7 @@ describe('AWS Bedrock Model Tests', () => {
 });
 
 describe('Deepseek Model Tests', () => {
-  const deepseekModels = ['deepseek-chat', 'deepseek-coder', 'deepseek-reasoner'];
+  const deepseekModels = ['deepseek-chat', 'deepseek-coder', 'deepseek-reasoner', 'deepseek.r1'];
 
   it('should return the correct prompt multipliers for all models', () => {
     const results = deepseekModels.map((model) => {

api/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@librechat/backend",
-  "version": "v0.7.7-rc1",
+  "version": "v0.7.7",
   "description": "",
   "scripts": {
     "start": "echo 'please run this from the root directory'",
@@ -35,19 +35,22 @@
   "homepage": "https://librechat.ai",
   "dependencies": {
     "@anthropic-ai/sdk": "^0.37.0",
+    "@aws-sdk/client-s3": "^3.758.0",
+    "@aws-sdk/s3-request-presigner": "^3.758.0",
     "@azure/search-documents": "^12.0.0",
-    "@google/generative-ai": "^0.21.0",
+    "@google/generative-ai": "^0.23.0",
     "@googleapis/youtube": "^20.0.0",
     "@keyv/mongo": "^2.1.8",
     "@keyv/redis": "^2.8.1",
-    "@langchain/community": "^0.3.14",
+    "@langchain/community": "^0.3.34",
     "@langchain/core": "^0.3.40",
-    "@langchain/google-genai": "^0.1.9",
-    "@langchain/google-vertexai": "^0.2.0",
+    "@langchain/google-genai": "^0.1.11",
+    "@langchain/google-vertexai": "^0.2.2",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^2.1.3",
+    "@librechat/agents": "^2.2.8",
+    "@librechat/data-schemas": "*",
     "@waylaidwanderer/fetch-event-source": "^3.0.1",
-    "axios": "1.7.8",
+    "axios": "^1.8.2",
     "bcryptjs": "^2.4.3",
     "cohere-ai": "^7.9.1",
     "compression": "^1.7.4",
@@ -74,7 +77,6 @@
     "keyv": "^4.5.4",
     "keyv-file": "^0.2.0",
     "klona": "^2.0.6",
-    "langchain": "^0.2.19",
     "librechat-data-provider": "*",
     "librechat-mcp": "*",
     "lodash": "^4.17.21",
@@ -82,7 +84,7 @@
     "memorystore": "^1.6.7",
     "mime": "^3.0.0",
     "module-alias": "^2.2.3",
-    "mongoose": "^8.9.5",
+    "mongoose": "^8.12.1",
     "multer": "^1.4.5-lts.1",
     "nanoid": "^3.3.7",
     "nodemailer": "^6.9.15",

api/server/controllers/ModelController.js

@@ -1,6 +1,7 @@
 const { CacheKeys } = require('librechat-data-provider');
 const { loadDefaultModels, loadConfigModels } = require('~/server/services/Config');
 const { getLogStores } = require('~/cache');
+const { logger } = require('~/config');
 
 /**
  * @param {ServerRequest} req
@@ -36,8 +37,13 @@ async function loadModels(req) {
 }
 
 async function modelController(req, res) {
-  const modelConfig = await loadModels(req);
-  res.send(modelConfig);
+  try {
+    const modelConfig = await loadModels(req);
+    res.send(modelConfig);
+  } catch (error) {
+    logger.error('Error fetching models:', error);
+    res.status(500).send({ error: error.message });
+  }
 }
 
 module.exports = { modelController, loadModels, getModelsConfig };

api/server/controllers/TwoFactorController.js

@@ -11,17 +11,19 @@ const { encryptV2 } = require('~/server/utils/crypto');
 
 const enable2FAController = async (req, res) => {
   const safeAppTitle = (process.env.APP_TITLE || 'LibreChat').replace(/\s+/g, '');
-
   try {
     const userId = req.user.id;
     const secret = generateTOTPSecret();
     const { plainCodes, codeObjects } = await generateBackupCodes();
-
     const encryptedSecret = await encryptV2(secret);
-    const user = await updateUser(userId, { totpSecret: encryptedSecret, backupCodes: codeObjects });
+    // Set twoFactorEnabled to false until the user confirms 2FA.
+    const user = await updateUser(userId, {
+      totpSecret: encryptedSecret,
+      backupCodes: codeObjects,
+      twoFactorEnabled: false,
+    });
 
     const otpauthUrl = `otpauth://totp/${safeAppTitle}:${user.email}?secret=${secret}&issuer=${safeAppTitle}`;
-
     res.status(200).json({
       otpauthUrl,
       backupCodes: plainCodes,
@@ -37,6 +39,7 @@ const verify2FAController = async (req, res) => {
     const userId = req.user.id;
     const { token, backupCode } = req.body;
     const user = await getUserById(userId);
+    // Ensure that 2FA is enabled for this user.
     if (!user || !user.totpSecret) {
       return res.status(400).json({ message: '2FA not initiated' });
     }
@@ -52,7 +55,6 @@ const verify2FAController = async (req, res) => {
         return res.status(200).json();
       }
     }
-
     return res.status(400).json({ message: 'Invalid token.' });
   } catch (err) {
     logger.error('[verify2FAController]', err);
@@ -74,6 +76,8 @@ const confirm2FAController = async (req, res) => {
     const secret = await getTOTPSecret(user.totpSecret);
 
     if (await verifyTOTP(secret, token)) {
+      // Upon successful verification, enable 2FA.
+      await updateUser(userId, { twoFactorEnabled: true });
       return res.status(200).json();
     }
 
@@ -87,7 +91,7 @@ const confirm2FAController = async (req, res) => {
 const disable2FAController = async (req, res) => {
   try {
     const userId = req.user.id;
-    await updateUser(userId, { totpSecret: null, backupCodes: [] });
+    await updateUser(userId, { totpSecret: null, backupCodes: [], twoFactorEnabled: false });
     res.status(200).json();
   } catch (err) {
     logger.error('[disable2FAController]', err);

api/server/controllers/agents/callbacks.js

@@ -1,4 +1,5 @@
-const { Tools, StepTypes, imageGenTools, FileContext } = require('librechat-data-provider');
+const { nanoid } = require('nanoid');
+const { Tools, StepTypes, FileContext } = require('librechat-data-provider');
 const {
   EnvVar,
   Providers,
@@ -9,8 +10,8 @@ const {
   ChatModelStreamHandler,
 } = require('@librechat/agents');
 const { processCodeOutput } = require('~/server/services/Files/Code/process');
+const { loadAuthValues } = require('~/server/services/Tools/credentials');
 const { saveBase64Image } = require('~/server/services/Files/process');
-const { loadAuthValues } = require('~/app/clients/tools/util');
 const { logger, sendEvent } = require('~/config');
 
 /** @typedef {import('@librechat/agents').Graph} Graph */
@@ -242,32 +243,6 @@ function createToolEndCallback({ req, res, artifactPromises }) {
       return;
     }
 
-    if (imageGenTools.has(output.name)) {
-      artifactPromises.push(
-        (async () => {
-          const fileMetadata = Object.assign(output.artifact, {
-            messageId: metadata.run_id,
-            toolCallId: output.tool_call_id,
-            conversationId: metadata.thread_id,
-          });
-          if (!res.headersSent) {
-            return fileMetadata;
-          }
-
-          if (!fileMetadata) {
-            return null;
-          }
-
-          res.write(`event: attachment\ndata: ${JSON.stringify(fileMetadata)}\n\n`);
-          return fileMetadata;
-        })().catch((error) => {
-          logger.error('Error processing code output:', error);
-          return null;
-        }),
-      );
-      return;
-    }
-
     if (output.artifact.content) {
       /** @type {FormattedContent[]} */
       const content = output.artifact.content;
@@ -278,7 +253,7 @@ function createToolEndCallback({ req, res, artifactPromises }) {
         const { url } = part.image_url;
         artifactPromises.push(
           (async () => {
-            const filename = `${output.tool_call_id}-image-${new Date().getTime()}`;
+            const filename = `${output.name}_${output.tool_call_id}_img_${nanoid()}`;
             const file = await saveBase64Image(url, {
               req,
               filename,

api/server/controllers/agents/client.js

@@ -7,7 +7,16 @@
 // validateVisionModel,
 // mapModelToAzureConfig,
 // } = require('librechat-data-provider');
-const { Callback, createMetadataAggregator } = require('@librechat/agents');
+require('events').EventEmitter.defaultMaxListeners = 100;
+const {
+  Callback,
+  GraphEvents,
+  formatMessage,
+  formatAgentMessages,
+  formatContentStrings,
+  getTokenCountForMessage,
+  createMetadataAggregator,
+} = require('@librechat/agents');
 const {
   Constants,
   VisionModes,
@@ -17,32 +26,28 @@ const {
   KnownEndpoints,
   anthropicSchema,
   isAgentsEndpoint,
-  bedrockOutputParser,
+  AgentCapabilities,
+  bedrockInputSchema,
   removeNullishValues,
 } = require('librechat-data-provider');
-const {
-  formatMessage,
-  addCacheControl,
-  formatAgentMessages,
-  formatContentStrings,
-  createContextHandlers,
-} = require('~/app/clients/prompts');
-const { encodeAndFormat } = require('~/server/services/Files/images/encode');
+const { getCustomEndpointConfig, checkCapability } = require('~/server/services/Config');
+const { addCacheControl, createContextHandlers } = require('~/app/clients/prompts');
+const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
 const { getBufferString, HumanMessage } = require('@langchain/core/messages');
+const { encodeAndFormat } = require('~/server/services/Files/images/encode');
 const Tokenizer = require('~/server/services/Tokenizer');
-const { spendTokens } = require('~/models/spendTokens');
 const BaseClient = require('~/app/clients/BaseClient');
+const { logger, sendEvent } = require('~/config');
 const { createRun } = require('./run');
-const { logger } = require('~/config');
 
 /** @typedef {import('@librechat/agents').MessageContentComplex} MessageContentComplex */
 /** @typedef {import('@langchain/core/runnables').RunnableConfig} RunnableConfig */
 
 const providerParsers = {
-  [EModelEndpoint.openAI]: openAISchema,
-  [EModelEndpoint.azureOpenAI]: openAISchema,
-  [EModelEndpoint.anthropic]: anthropicSchema,
-  [EModelEndpoint.bedrock]: bedrockOutputParser,
+  [EModelEndpoint.openAI]: openAISchema.parse,
+  [EModelEndpoint.azureOpenAI]: openAISchema.parse,
+  [EModelEndpoint.anthropic]: anthropicSchema.parse,
+  [EModelEndpoint.bedrock]: bedrockInputSchema.parse,
 };
 
 const legacyContentEndpoints = new Set([KnownEndpoints.groq, KnownEndpoints.deepseek]);
@@ -98,6 +103,8 @@ class AgentClient extends BaseClient {
     this.outputTokensKey = 'output_tokens';
     /** @type {UsageMetadata} */
     this.usage;
+    /** @type {Record<string, number>} */
+    this.indexTokenCountMap = {};
   }
 
   /**
@@ -187,7 +194,14 @@ class AgentClient extends BaseClient {
         : {};
 
     if (parseOptions) {
-      runOptions = parseOptions(this.options.agent.model_parameters);
+      try {
+        runOptions = parseOptions(this.options.agent.model_parameters);
+      } catch (error) {
+        logger.error(
+          '[api/server/controllers/agents/client.js #getSaveOptions] Error parsing options',
+          error,
+        );
+      }
     }
 
     return removeNullishValues(
@@ -215,14 +229,23 @@ class AgentClient extends BaseClient {
     };
   }
 
+  /**
+   *
+   * @param {TMessage} message
+   * @param {Array<MongoFile>} attachments
+   * @returns {Promise<Array<Partial<MongoFile>>>}
+   */
   async addImageURLs(message, attachments) {
-    const { files, image_urls } = await encodeAndFormat(
+    const { files, text, 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;
   }
 
@@ -300,7 +323,21 @@ class AgentClient extends BaseClient {
         assistantName: this.options?.modelLabel,
       });
 
-      const needsTokenCount = this.contextStrategy && !orderedMessages[i].tokenCount;
+      if (message.ocr && i !== orderedMessages.length - 1) {
+        if (typeof formattedMessage.content === 'string') {
+          formattedMessage.content = message.ocr + '\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 });
+        }
+      } else if (message.ocr && i === orderedMessages.length - 1) {
+        systemContent = [systemContent, message.ocr].join('\n');
+      }
+
+      const needsTokenCount =
+        (this.contextStrategy && !orderedMessages[i].tokenCount) || message.ocr;
 
       /* 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))) {
@@ -346,6 +383,10 @@ class AgentClient extends BaseClient {
       }));
     }
 
+    for (let i = 0; i < messages.length; i++) {
+      this.indexTokenCountMap[i] = messages[i].tokenCount;
+    }
+
     const result = {
       tokenCountMap,
       prompt: payload,
@@ -380,15 +421,34 @@ class AgentClient extends BaseClient {
     if (!collectedUsage || !collectedUsage.length) {
       return;
     }
-    const input_tokens = collectedUsage[0]?.input_tokens || 0;
+    const input_tokens =
+      (collectedUsage[0]?.input_tokens || 0) +
+      (Number(collectedUsage[0]?.input_token_details?.cache_creation) || 0) +
+      (Number(collectedUsage[0]?.input_token_details?.cache_read) || 0);
 
     let output_tokens = 0;
     let previousTokens = input_tokens; // Start with original input
     for (let i = 0; i < collectedUsage.length; i++) {
       const usage = collectedUsage[i];
+      if (!usage) {
+        continue;
+      }
+
+      const cache_creation = Number(usage.input_token_details?.cache_creation) || 0;
+      const cache_read = Number(usage.input_token_details?.cache_read) || 0;
+
+      const txMetadata = {
+        context,
+        conversationId: this.conversationId,
+        user: this.user ?? this.options.req.user?.id,
+        endpointTokenConfig: this.options.endpointTokenConfig,
+        model: usage.model ?? model ?? this.model ?? this.options.agent.model_parameters.model,
+      };
+
       if (i > 0) {
         // Count new tokens generated (input_tokens minus previous accumulated tokens)
-        output_tokens += (Number(usage.input_tokens) || 0) - previousTokens;
+        output_tokens +=
+          (Number(usage.input_tokens) || 0) + cache_creation + cache_read - previousTokens;
       }
 
       // Add this message's output tokens
@@ -396,16 +456,26 @@ class AgentClient extends BaseClient {
 
       // Update previousTokens to include this message's output
       previousTokens += Number(usage.output_tokens) || 0;
-      spendTokens(
-        {
-          context,
-          conversationId: this.conversationId,
-          user: this.user ?? this.options.req.user?.id,
-          endpointTokenConfig: this.options.endpointTokenConfig,
-          model: usage.model ?? model ?? this.model ?? this.options.agent.model_parameters.model,
-        },
-        { promptTokens: usage.input_tokens, completionTokens: usage.output_tokens },
-      ).catch((err) => {
+
+      if (cache_creation > 0 || cache_read > 0) {
+        spendStructuredTokens(txMetadata, {
+          promptTokens: {
+            input: usage.input_tokens,
+            write: cache_creation,
+            read: cache_read,
+          },
+          completionTokens: usage.output_tokens,
+        }).catch((err) => {
+          logger.error(
+            '[api/server/controllers/agents/client.js #recordCollectedUsage] Error spending structured tokens',
+            err,
+          );
+        });
+      }
+      spendTokens(txMetadata, {
+        promptTokens: usage.input_tokens,
+        completionTokens: usage.output_tokens,
+      }).catch((err) => {
         logger.error(
           '[api/server/controllers/agents/client.js #recordCollectedUsage] Error spending tokens',
           err,
@@ -562,6 +632,9 @@ class AgentClient extends BaseClient {
       //   });
       // }
 
+      /** @type {TCustomConfig['endpoints']['agents']} */
+      const agentsEConfig = this.options.req.app.locals[EModelEndpoint.agents];
+
       /** @type {Partial<RunnableConfig> & { version: 'v1' | 'v2'; run_id?: string; streamMode: string }} */
       const config = {
         configurable: {
@@ -569,19 +642,30 @@ class AgentClient extends BaseClient {
           last_agent_index: this.agentConfigs?.size ?? 0,
           hide_sequential_outputs: this.options.agent.hide_sequential_outputs,
         },
-        recursionLimit: this.options.req.app.locals[EModelEndpoint.agents]?.recursionLimit,
+        recursionLimit: agentsEConfig?.recursionLimit,
         signal: abortController.signal,
         streamMode: 'values',
         version: 'v2',
       };
 
-      const initialMessages = formatAgentMessages(payload);
+      const toolSet = new Set((this.options.agent.tools ?? []).map((tool) => tool && tool.name));
+      let { messages: initialMessages, indexTokenCountMap } = formatAgentMessages(
+        payload,
+        this.indexTokenCountMap,
+        toolSet,
+      );
       if (legacyContentEndpoints.has(this.options.agent.endpoint)) {
-        formatContentStrings(initialMessages);
+        initialMessages = formatContentStrings(initialMessages);
       }
 
       /** @type {ReturnType<createRun>} */
       let run;
+      const countTokens = ((text) => this.getTokenCount(text)).bind(this);
+
+      /** @type {(message: BaseMessage) => number} */
+      const tokenCounter = (message) => {
+        return getTokenCountForMessage(message, countTokens);
+      };
 
       /**
        *
@@ -589,12 +673,23 @@ class AgentClient extends BaseClient {
        * @param {BaseMessage[]} messages
        * @param {number} [i]
        * @param {TMessageContentParts[]} [contentData]
+       * @param {Record<string, number>} [currentIndexCountMap]
        */
-      const runAgent = async (agent, _messages, i = 0, contentData = []) => {
+      const runAgent = async (agent, _messages, i = 0, contentData = [], _currentIndexCountMap) => {
         config.configurable.model = agent.model_parameters.model;
+        const currentIndexCountMap = _currentIndexCountMap ?? indexTokenCountMap;
         if (i > 0) {
           this.model = agent.model_parameters.model;
         }
+        if (agent.recursion_limit && typeof agent.recursion_limit === 'number') {
+          config.recursionLimit = agent.recursion_limit;
+        }
+        if (
+          agentsEConfig?.maxRecursionLimit &&
+          config.recursionLimit > agentsEConfig?.maxRecursionLimit
+        ) {
+          config.recursionLimit = agentsEConfig?.maxRecursionLimit;
+        }
         config.configurable.agent_id = agent.id;
         config.configurable.name = agent.name;
         config.configurable.agent_index = i;
@@ -657,11 +752,29 @@ class AgentClient extends BaseClient {
         }
 
         if (contentData.length) {
+          const agentUpdate = {
+            type: ContentTypes.AGENT_UPDATE,
+            [ContentTypes.AGENT_UPDATE]: {
+              index: contentData.length,
+              runId: this.responseMessageId,
+              agentId: agent.id,
+            },
+          };
+          const streamData = {
+            event: GraphEvents.ON_AGENT_UPDATE,
+            data: agentUpdate,
+          };
+          this.options.aggregateContent(streamData);
+          sendEvent(this.options.res, streamData);
+          contentData.push(agentUpdate);
           run.Graph.contentData = contentData;
         }
 
         await run.processStream({ messages }, config, {
           keepContent: i !== 0,
+          tokenCounter,
+          indexTokenCountMap: currentIndexCountMap,
+          maxContextTokens: agent.maxContextTokens,
           callbacks: {
             [Callback.TOOL_ERROR]: (graph, error, toolId) => {
               logger.error(
@@ -675,9 +788,13 @@ class AgentClient extends BaseClient {
       };
 
       await runAgent(this.options.agent, initialMessages);
-
       let finalContentStart = 0;
-      if (this.agentConfigs && this.agentConfigs.size > 0) {
+      if (
+        this.agentConfigs &&
+        this.agentConfigs.size > 0 &&
+        (await checkCapability(this.options.req, AgentCapabilities.chain))
+      ) {
+        const windowSize = 5;
         let latestMessage = initialMessages.pop().content;
         if (typeof latestMessage !== 'string') {
           latestMessage = latestMessage[0].text;
@@ -685,7 +802,16 @@ class AgentClient extends BaseClient {
         let i = 1;
         let runMessages = [];
 
-        const lastFiveMessages = initialMessages.slice(-5);
+        const windowIndexCountMap = {};
+        const windowMessages = initialMessages.slice(-windowSize);
+        let currentIndex = 4;
+        for (let i = initialMessages.length - 1; i >= 0; i--) {
+          windowIndexCountMap[currentIndex] = indexTokenCountMap[i];
+          currentIndex--;
+          if (currentIndex < 0) {
+            break;
+          }
+        }
         for (const [agentId, agent] of this.agentConfigs) {
           if (abortController.signal.aborted === true) {
             break;
@@ -720,7 +846,9 @@ class AgentClient extends BaseClient {
           }
           try {
             const contextMessages = [];
-            for (const message of lastFiveMessages) {
+            const runIndexCountMap = {};
+            for (let i = 0; i < windowMessages.length; i++) {
+              const message = windowMessages[i];
               const messageType = message._getType();
               if (
                 (!agent.tools || agent.tools.length === 0) &&
@@ -728,11 +856,13 @@ class AgentClient extends BaseClient {
               ) {
                 continue;
               }
-
+              runIndexCountMap[contextMessages.length] = windowIndexCountMap[i];
               contextMessages.push(message);
             }
-            const currentMessages = [...contextMessages, new HumanMessage(bufferString)];
-            await runAgent(agent, currentMessages, i, contentData);
+            const bufferMessage = new HumanMessage(bufferString);
+            runIndexCountMap[contextMessages.length] = tokenCounter(bufferMessage);
+            const currentMessages = [...contextMessages, bufferMessage];
+            await runAgent(agent, currentMessages, i, contentData, runIndexCountMap);
           } catch (err) {
             logger.error(
               `[api/server/controllers/agents/client.js #chatCompletion] Error running agent ${agentId} (${i})`,
@@ -743,6 +873,7 @@ class AgentClient extends BaseClient {
         }
       }
 
+      /** Note: not implemented */
       if (config.configurable.hide_sequential_outputs !== true) {
         finalContentStart = 0;
       }
@@ -766,18 +897,20 @@ class AgentClient extends BaseClient {
         );
       }
     } catch (err) {
+      logger.error(
+        '[api/server/controllers/agents/client.js #sendCompletion] Operation aborted',
+        err,
+      );
       if (!abortController.signal.aborted) {
         logger.error(
           '[api/server/controllers/agents/client.js #sendCompletion] Unhandled error type',
           err,
         );
-        throw err;
+        this.contentParts.push({
+          type: ContentTypes.ERROR,
+          [ContentTypes.ERROR]: `An error occurred while processing the request${err?.message ? `: ${err.message}` : ''}`,
+        });
       }
-
-      logger.warn(
-        '[api/server/controllers/agents/client.js #sendCompletion] Operation aborted',
-        err,
-      );
     }
   }
 
@@ -792,14 +925,20 @@ class AgentClient extends BaseClient {
       throw new Error('Run not initialized');
     }
     const { handleLLMEnd, collected: collectedMetadata } = createMetadataAggregator();
-    const clientOptions = {};
-    const providerConfig = this.options.req.app.locals[this.options.agent.provider];
+    /** @type {import('@librechat/agents').ClientOptions} */
+    const clientOptions = {
+      maxTokens: 75,
+    };
+    let endpointConfig = this.options.req.app.locals[this.options.agent.endpoint];
+    if (!endpointConfig) {
+      endpointConfig = await getCustomEndpointConfig(this.options.agent.endpoint);
+    }
     if (
-      providerConfig &&
-      providerConfig.titleModel &&
-      providerConfig.titleModel !== Constants.CURRENT_MODEL
+      endpointConfig &&
+      endpointConfig.titleModel &&
+      endpointConfig.titleModel !== Constants.CURRENT_MODEL
     ) {
-      clientOptions.model = providerConfig.titleModel;
+      clientOptions.model = endpointConfig.titleModel;
     }
     try {
       const titleResult = await this.run.generateTitle({

api/server/controllers/agents/run.js

@@ -45,7 +45,10 @@ async function createRun({
 
   /** @type {'reasoning_content' | 'reasoning'} */
   let reasoningKey;
-  if (llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter)) {
+  if (
+    llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter) ||
+    (agent.endpoint && agent.endpoint.toLowerCase().includes(KnownEndpoints.openrouter))
+  ) {
     reasoningKey = 'reasoning';
   }
   if (/o1(?!-(?:mini|preview)).*$/.test(llmConfig.model)) {

api/server/controllers/agents/v1.js

@@ -1,10 +1,11 @@
 const fs = require('fs').promises;
 const { nanoid } = require('nanoid');
 const {
-  FileContext,
-  Constants,
   Tools,
+  Constants,
+  FileContext,
   SystemRoles,
+  EToolResources,
   actionDelimiter,
 } = require('librechat-data-provider');
 const {
@@ -203,14 +204,21 @@ const duplicateAgentHandler = async (req, res) => {
     }
 
     const {
-      _id: __id,
       id: _id,
+      _id: __id,
       author: _author,
       createdAt: _createdAt,
       updatedAt: _updatedAt,
+      tool_resources: _tool_resources = {},
       ...cloneData
     } = agent;
 
+    if (_tool_resources?.[EToolResources.ocr]) {
+      cloneData.tool_resources = {
+        [EToolResources.ocr]: _tool_resources[EToolResources.ocr],
+      };
+    }
+
     const newAgentId = `agent_${nanoid()}`;
     const newAgentData = Object.assign(cloneData, {
       id: newAgentId,

api/server/controllers/auth/LoginController.js

@@ -8,7 +8,7 @@ const loginController = async (req, res) => {
       return res.status(400).json({ message: 'Invalid credentials' });
     }
 
-    if (req.user.backupCodes != null && req.user.backupCodes.length > 0) {
+    if (req.user.twoFactorEnabled) {
       const tempToken = generate2FATempToken(req.user._id);
       return res.status(200).json({ twoFAPending: true, tempToken });
     }

api/server/controllers/auth/TwoFactorAuthController.js

@@ -1,5 +1,9 @@
 const jwt = require('jsonwebtoken');
-const { verifyTOTP, verifyBackupCode, getTOTPSecret } = require('~/server/services/twoFactorService');
+const {
+  verifyTOTP,
+  verifyBackupCode,
+  getTOTPSecret,
+} = require('~/server/services/twoFactorService');
 const { setAuthTokens } = require('~/server/services/AuthService');
 const { getUserById } = require('~/models/userMethods');
 const { logger } = require('~/config');
@@ -19,12 +23,12 @@ const verify2FA = async (req, res) => {
     }
 
     const user = await getUserById(payload.userId);
-    // Ensure that the user exists and has backup codes (i.e. 2FA enabled)
-    if (!user || !(user.backupCodes && user.backupCodes.length > 0)) {
+    // Ensure that the user exists and has 2FA enabled
+    if (!user || !user.twoFactorEnabled) {
       return res.status(400).json({ message: '2FA is not enabled for this user' });
     }
 
-    // Use the new getTOTPSecret function to retrieve (and decrypt if necessary) the TOTP secret.
+    // Retrieve (and decrypt if necessary) the TOTP secret.
     const secret = await getTOTPSecret(user.totpSecret);
 
     let verified = false;
@@ -39,9 +43,7 @@ const verify2FA = async (req, res) => {
     }
 
     // Prepare user data for response.
-    // If the user is a plain object (from lean queries), we create a shallow copy.
     const userData = user.toObject ? user.toObject() : { ...user };
-    // Remove sensitive fields.
     delete userData.password;
     delete userData.__v;
     delete userData.totpSecret;

api/server/controllers/tools.js

@@ -10,7 +10,8 @@ const {
 const { processFileURL, uploadImageBuffer } = require('~/server/services/Files/process');
 const { processCodeOutput } = require('~/server/services/Files/Code/process');
 const { createToolCall, getToolCallsByConvo } = require('~/models/ToolCall');
-const { loadAuthValues, loadTools } = require('~/app/clients/tools/util');
+const { loadAuthValues } = require('~/server/services/Tools/credentials');
+const { loadTools } = require('~/app/clients/tools/util');
 const { checkAccess } = require('~/server/middleware');
 const { getMessage } = require('~/models/Message');
 const { logger } = require('~/config');

api/server/middleware/abortMiddleware.js

@@ -120,7 +120,7 @@ const createAbortController = (req, res, getAbortData, getReqData) => {
       { promptTokens, completionTokens },
     );
 
-    saveMessage(
+    await saveMessage(
       req,
       { ...responseMessage, user },
       { context: 'api/server/middleware/abortMiddleware.js' },

api/server/middleware/buildEndpointOption.js

@@ -10,7 +10,6 @@ const openAI = require('~/server/services/Endpoints/openAI');
 const agents = require('~/server/services/Endpoints/agents');
 const custom = require('~/server/services/Endpoints/custom');
 const google = require('~/server/services/Endpoints/google');
-const { getConvoFiles } = require('~/models/Conversation');
 const { handleError } = require('~/server/utils');
 
 const buildFunction = {
@@ -87,16 +86,8 @@ async function buildEndpointOption(req, res, next) {
 
     // TODO: use `getModelsConfig` only when necessary
     const modelsConfig = await getModelsConfig(req);
-    const { resendFiles = true } = req.body.endpointOption;
     req.body.endpointOption.modelsConfig = modelsConfig;
-    if (isAgents && resendFiles && req.body.conversationId) {
-      const fileIds = await getConvoFiles(req.body.conversationId);
-      const requestFiles = req.body.files ?? [];
-      if (requestFiles.length || fileIds.length) {
-        req.body.endpointOption.attachments = processFiles(requestFiles, fileIds);
-      }
-    } else if (req.body.files) {
-      // hold the promise
+    if (req.body.files && !isAgents) {
       req.body.endpointOption.attachments = processFiles(req.body.files);
     }
     next();

api/server/middleware/requireLocalAuth.js

@@ -1,32 +1,18 @@
 const passport = require('passport');
-const DebugControl = require('../../utils/debug.js');
-
-function log({ title, parameters }) {
-  DebugControl.log.functionName(title);
-  if (parameters) {
-    DebugControl.log.parameters(parameters);
-  }
-}
+const { logger } = require('~/config');
 
 const requireLocalAuth = (req, res, next) => {
   passport.authenticate('local', (err, user, info) => {
     if (err) {
-      log({
-        title: '(requireLocalAuth) Error at passport.authenticate',
-        parameters: [{ name: 'error', value: err }],
-      });
+      logger.error('[requireLocalAuth] Error at passport.authenticate:', err);
       return next(err);
     }
     if (!user) {
-      log({
-        title: '(requireLocalAuth) Error: No user',
-      });
+      logger.debug('[requireLocalAuth] Error: No user');
       return res.status(404).send(info);
     }
     if (info && info.message) {
-      log({
-        title: '(requireLocalAuth) Error: ' + info.message,
-      });
+      logger.debug('[requireLocalAuth] Error: ' + info.message);
       return res.status(422).send({ message: info.message });
     }
     req.user = user;

api/server/routes/config.js

@@ -47,10 +47,10 @@ router.get('/', async function (req, res) {
       githubLoginEnabled: !!process.env.GITHUB_CLIENT_ID && !!process.env.GITHUB_CLIENT_SECRET,
       googleLoginEnabled: !!process.env.GOOGLE_CLIENT_ID && !!process.env.GOOGLE_CLIENT_SECRET,
       appleLoginEnabled:
-          !!process.env.APPLE_CLIENT_ID &&
-          !!process.env.APPLE_TEAM_ID &&
-          !!process.env.APPLE_KEY_ID &&
-          !!process.env.APPLE_PRIVATE_KEY_PATH,
+        !!process.env.APPLE_CLIENT_ID &&
+        !!process.env.APPLE_TEAM_ID &&
+        !!process.env.APPLE_KEY_ID &&
+        !!process.env.APPLE_PRIVATE_KEY_PATH,
       openidLoginEnabled:
         !!process.env.OPENID_CLIENT_ID &&
         !!process.env.OPENID_CLIENT_SECRET &&
@@ -80,6 +80,7 @@ router.get('/', async function (req, res) {
       publicSharedLinksEnabled,
       analyticsGtmId: process.env.ANALYTICS_GTM_ID,
       instanceProjectId: instanceProject._id.toString(),
+      bundlerURL: process.env.SANDPACK_BUNDLER_URL,
     };
 
     if (ldap) {

api/server/routes/files/files.js

@@ -16,7 +16,7 @@ const {
 } = require('~/server/services/Files/process');
 const { getStrategyFunctions } = require('~/server/services/Files/strategies');
 const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
-const { loadAuthValues } = require('~/app/clients/tools/util');
+const { loadAuthValues } = require('~/server/services/Tools/credentials');
 const { getAgent } = require('~/models/Agent');
 const { getFiles } = require('~/models/File');
 const { logger } = require('~/config');

api/server/services/ActionService.js

@@ -161,9 +161,9 @@ async function createActionTool({
 
       if (metadata.auth && metadata.auth.type !== AuthTypeEnum.None) {
         try {
-          const action_id = action.action_id;
-          const identifier = `${req.user.id}:${action.action_id}`;
           if (metadata.auth.type === AuthTypeEnum.OAuth && metadata.auth.authorization_url) {
+            const action_id = action.action_id;
+            const identifier = `${req.user.id}:${action.action_id}`;
             const requestLogin = async () => {
               const { args: _args, stepId, ...toolCall } = config.toolCall ?? {};
               if (!stepId) {

api/server/services/AppService.js

@@ -1,7 +1,14 @@
-const { FileSources, EModelEndpoint, getConfigDefaults } = require('librechat-data-provider');
+const {
+  FileSources,
+  EModelEndpoint,
+  loadOCRConfig,
+  processMCPEnv,
+  getConfigDefaults,
+} = require('librechat-data-provider');
 const { checkVariables, checkHealth, checkConfig, checkAzureVariables } = require('./start/checks');
 const { azureAssistantsDefaults, assistantsConfigSetup } = require('./start/assistants');
 const { initializeFirebase } = require('./Files/Firebase/initialize');
+const { initializeS3 } = require('./Files/S3/initialize');
 const loadCustomConfig = require('./Config/loadCustomConfig');
 const handleRateLimits = require('./Config/handleRateLimits');
 const { loadDefaultInterface } = require('./start/interface');
@@ -25,6 +32,7 @@ const AppService = async (app) => {
   const config = (await loadCustomConfig()) ?? {};
   const configDefaults = getConfigDefaults();
 
+  const ocr = loadOCRConfig(config.ocr);
   const filteredTools = config.filteredTools;
   const includedTools = config.includedTools;
   const fileStrategy = config.fileStrategy ?? configDefaults.fileStrategy;
@@ -37,6 +45,8 @@ const AppService = async (app) => {
 
   if (fileStrategy === FileSources.firebase) {
     initializeFirebase();
+  } else if (fileStrategy === FileSources.s3) {
+    initializeS3();
   }
 
   /** @type {Record<string, FunctionTool} */
@@ -48,7 +58,7 @@ const AppService = async (app) => {
 
   if (config.mcpServers != null) {
     const mcpManager = await getMCPManager();
-    await mcpManager.initializeMCP(config.mcpServers);
+    await mcpManager.initializeMCP(config.mcpServers, processMCPEnv);
     await mcpManager.mapAvailableTools(availableTools);
   }
 
@@ -57,6 +67,7 @@ const AppService = async (app) => {
   const interfaceConfig = await loadDefaultInterface(config, configDefaults);
 
   const defaultLocals = {
+    ocr,
     paths,
     fileStrategy,
     socialLogins,

api/server/services/AppService.spec.js

@@ -120,6 +120,7 @@ describe('AppService', () => {
         },
       },
       paths: expect.anything(),
+      ocr: expect.anything(),
       imageOutputType: expect.any(String),
       fileConfig: undefined,
       secureImageLinks: undefined,
@@ -588,4 +589,33 @@ describe('AppService updating app.locals and issuing warnings', () => {
       );
     });
   });
+
+  it('should not parse environment variable references in OCR config', async () => {
+    // Mock custom configuration with env variable references in OCR config
+    const mockConfig = {
+      ocr: {
+        apiKey: '${OCR_API_KEY_CUSTOM_VAR_NAME}',
+        baseURL: '${OCR_BASEURL_CUSTOM_VAR_NAME}',
+        strategy: 'mistral_ocr',
+        mistralModel: 'mistral-medium',
+      },
+    };
+
+    require('./Config/loadCustomConfig').mockImplementationOnce(() => Promise.resolve(mockConfig));
+
+    // Set actual environment variables with different values
+    process.env.OCR_API_KEY_CUSTOM_VAR_NAME = 'actual-api-key';
+    process.env.OCR_BASEURL_CUSTOM_VAR_NAME = 'https://actual-ocr-url.com';
+
+    // Initialize app
+    const app = { locals: {} };
+    await AppService(app);
+
+    // Verify that the raw string references were preserved and not interpolated
+    expect(app.locals.ocr).toBeDefined();
+    expect(app.locals.ocr.apiKey).toEqual('${OCR_API_KEY_CUSTOM_VAR_NAME}');
+    expect(app.locals.ocr.baseURL).toEqual('${OCR_BASEURL_CUSTOM_VAR_NAME}');
+    expect(app.locals.ocr.strategy).toEqual('mistral_ocr');
+    expect(app.locals.ocr.mistralModel).toEqual('mistral-medium');
+  });
 });

api/server/services/Config/getEndpointsConfig.js

@@ -72,4 +72,15 @@ async function getEndpointsConfig(req) {
   return endpointsConfig;
 }
 
-module.exports = { getEndpointsConfig };
+/**
+ * @param {ServerRequest} req
+ * @param {import('librechat-data-provider').AgentCapabilities} capability
+ * @returns {Promise<boolean>}
+ */
+const checkCapability = async (req, capability) => {
+  const endpointsConfig = await getEndpointsConfig(req);
+  const capabilities = endpointsConfig?.[EModelEndpoint.agents]?.capabilities ?? [];
+  return capabilities.includes(capability);
+};
+
+module.exports = { getEndpointsConfig, checkCapability };

api/server/services/Config/loadConfigModels.js

@@ -47,7 +47,7 @@ async function loadConfigModels(req) {
   );
 
   /**
-   * @type {Record<string, string[]>}
+   * @type {Record<string, Promise<string[]>>}
    * Map for promises keyed by unique combination of baseURL and apiKey */
   const fetchPromisesMap = {};
   /**
@@ -102,7 +102,7 @@ async function loadConfigModels(req) {
 
     for (const name of associatedNames) {
       const endpoint = endpointsMap[name];
-      modelsConfig[name] = !modelData?.length ? endpoint.models.default ?? [] : modelData;
+      modelsConfig[name] = !modelData?.length ? (endpoint.models.default ?? []) : modelData;
     }
   }
 

api/server/services/Config/loadDefaultModels.js

@@ -5,8 +5,8 @@ const {
   getGoogleModels,
   getBedrockModels,
   getAnthropicModels,
-  getChatGPTBrowserModels,
 } = require('~/server/services/ModelService');
+const { logger } = require('~/config');
 
 /**
  * Loads the default models for the application.
@@ -15,31 +15,68 @@ const {
  * @param {Express.Request} req - The Express request object.
  */
 async function loadDefaultModels(req) {
-  const google = getGoogleModels();
-  const openAI = await getOpenAIModels({ user: req.user.id });
-  const anthropic = getAnthropicModels();
-  const chatGPTBrowser = getChatGPTBrowserModels();
-  const azureOpenAI = await getOpenAIModels({ user: req.user.id, azure: true });
-  const gptPlugins = await getOpenAIModels({
-    user: req.user.id,
-    azure: useAzurePlugins,
-    plugins: true,
-  });
-  const assistants = await getOpenAIModels({ assistants: true });
-  const azureAssistants = await getOpenAIModels({ azureAssistants: true });
+  try {
+    const [
+      openAI,
+      anthropic,
+      azureOpenAI,
+      gptPlugins,
+      assistants,
+      azureAssistants,
+      google,
+      bedrock,
+    ] = await Promise.all([
+      getOpenAIModels({ user: req.user.id }).catch((error) => {
+        logger.error('Error fetching OpenAI models:', error);
+        return [];
+      }),
+      getAnthropicModels({ user: req.user.id }).catch((error) => {
+        logger.error('Error fetching Anthropic models:', error);
+        return [];
+      }),
+      getOpenAIModels({ user: req.user.id, azure: true }).catch((error) => {
+        logger.error('Error fetching Azure OpenAI models:', error);
+        return [];
+      }),
+      getOpenAIModels({ user: req.user.id, azure: useAzurePlugins, plugins: true }).catch(
+        (error) => {
+          logger.error('Error fetching Plugin models:', error);
+          return [];
+        },
+      ),
+      getOpenAIModels({ assistants: true }).catch((error) => {
+        logger.error('Error fetching OpenAI Assistants API models:', error);
+        return [];
+      }),
+      getOpenAIModels({ azureAssistants: true }).catch((error) => {
+        logger.error('Error fetching Azure OpenAI Assistants API models:', error);
+        return [];
+      }),
+      Promise.resolve(getGoogleModels()).catch((error) => {
+        logger.error('Error getting Google models:', error);
+        return [];
+      }),
+      Promise.resolve(getBedrockModels()).catch((error) => {
+        logger.error('Error getting Bedrock models:', error);
+        return [];
+      }),
+    ]);
 
-  return {
-    [EModelEndpoint.openAI]: openAI,
-    [EModelEndpoint.agents]: openAI,
-    [EModelEndpoint.google]: google,
-    [EModelEndpoint.anthropic]: anthropic,
-    [EModelEndpoint.gptPlugins]: gptPlugins,
-    [EModelEndpoint.azureOpenAI]: azureOpenAI,
-    [EModelEndpoint.chatGPTBrowser]: chatGPTBrowser,
-    [EModelEndpoint.assistants]: assistants,
-    [EModelEndpoint.azureAssistants]: azureAssistants,
-    [EModelEndpoint.bedrock]: getBedrockModels(),
-  };
+    return {
+      [EModelEndpoint.openAI]: openAI,
+      [EModelEndpoint.agents]: openAI,
+      [EModelEndpoint.google]: google,
+      [EModelEndpoint.anthropic]: anthropic,
+      [EModelEndpoint.gptPlugins]: gptPlugins,
+      [EModelEndpoint.azureOpenAI]: azureOpenAI,
+      [EModelEndpoint.assistants]: assistants,
+      [EModelEndpoint.azureAssistants]: azureAssistants,
+      [EModelEndpoint.bedrock]: bedrock,
+    };
+  } catch (error) {
+    logger.error('Error fetching default models:', error);
+    throw new Error(`Failed to load default models: ${error.message}`);
+  }
 }
 
 module.exports = loadDefaultModels;

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

@@ -2,15 +2,8 @@ const { loadAgent } = require('~/models/Agent');
 const { logger } = require('~/config');
 
 const buildOptions = (req, endpoint, parsedBody) => {
-  const {
-    spec,
-    iconURL,
-    agent_id,
-    instructions,
-    maxContextTokens,
-    resendFiles = true,
-    ...model_parameters
-  } = parsedBody;
+  const { spec, iconURL, agent_id, instructions, maxContextTokens, ...model_parameters } =
+    parsedBody;
   const agentPromise = loadAgent({
     req,
     agent_id,
@@ -24,7 +17,6 @@ const buildOptions = (req, endpoint, parsedBody) => {
     iconURL,
     endpoint,
     agent_id,
-    resendFiles,
     instructions,
     maxContextTokens,
     model_parameters,

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

@@ -2,6 +2,7 @@ const { createContentAggregator, Providers } = require('@librechat/agents');
 const {
   EModelEndpoint,
   getResponseSender,
+  AgentCapabilities,
   providerEndpointMap,
 } = require('librechat-data-provider');
 const {
@@ -15,13 +16,18 @@ const initCustom = require('~/server/services/Endpoints/custom/initialize');
 const initGoogle = require('~/server/services/Endpoints/google/initialize');
 const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
 const { getCustomEndpointConfig } = require('~/server/services/Config');
+const { processFiles } = require('~/server/services/Files/process');
 const { loadAgentTools } = require('~/server/services/ToolService');
 const AgentClient = require('~/server/controllers/agents/client');
+const { getConvoFiles } = require('~/models/Conversation');
+const { getToolFilesByIds } = require('~/models/File');
 const { getModelMaxTokens } = require('~/utils');
 const { getAgent } = require('~/models/Agent');
+const { getFiles } = require('~/models/File');
 const { logger } = require('~/config');
 
 const providerConfigMap = {
+  [Providers.XAI]: initCustom,
   [Providers.OLLAMA]: initCustom,
   [Providers.DEEPSEEK]: initCustom,
   [Providers.OPENROUTER]: initCustom,
@@ -33,20 +39,38 @@ const providerConfigMap = {
 };
 
 /**
- *
+ * @param {ServerRequest} req
  * @param {Promise<Array<MongoFile | null>> | undefined} _attachments
  * @param {AgentToolResources | undefined} _tool_resources
  * @returns {Promise<{ attachments: Array<MongoFile | undefined> | undefined, tool_resources: AgentToolResources | undefined }>}
  */
-const primeResources = async (_attachments, _tool_resources) => {
+const primeResources = async (req, _attachments, _tool_resources) => {
   try {
+    /** @type {Array<MongoFile | undefined> | undefined} */
+    let attachments;
+    const tool_resources = _tool_resources ?? {};
+    const isOCREnabled = (req.app.locals?.[EModelEndpoint.agents]?.capabilities ?? []).includes(
+      AgentCapabilities.ocr,
+    );
+    if (tool_resources.ocr?.file_ids && isOCREnabled) {
+      const context = await getFiles(
+        {
+          file_id: { $in: tool_resources.ocr.file_ids },
+        },
+        {},
+        {},
+      );
+      attachments = (attachments ?? []).concat(context);
+    }
     if (!_attachments) {
-      return { attachments: undefined, tool_resources: _tool_resources };
+      return { attachments, tool_resources };
     }
     /** @type {Array<MongoFile | undefined> | undefined} */
     const files = await _attachments;
-    const attachments = [];
-    const tool_resources = _tool_resources ?? {};
+    if (!attachments) {
+      /** @type {Array<MongoFile | undefined>} */
+      attachments = [];
+    }
 
     for (const file of files) {
       if (!file) {
@@ -81,7 +105,6 @@ const primeResources = async (_attachments, _tool_resources) => {
  * @param {ServerResponse} params.res
  * @param {Agent} params.agent
  * @param {object} [params.endpointOption]
- * @param {AgentToolResources} [params.tool_resources]
  * @param {boolean} [params.isInitialAgent]
  * @returns {Promise<Agent>}
  */
@@ -90,9 +113,30 @@ const initializeAgentOptions = async ({
   res,
   agent,
   endpointOption,
-  tool_resources,
   isInitialAgent = false,
 }) => {
+  let currentFiles;
+  /** @type {Array<MongoFile>} */
+  const requestFiles = req.body.files ?? [];
+  if (
+    isInitialAgent &&
+    req.body.conversationId != null &&
+    (agent.model_parameters?.resendFiles ?? true) === true
+  ) {
+    const fileIds = (await getConvoFiles(req.body.conversationId)) ?? [];
+    const toolFiles = await getToolFilesByIds(fileIds);
+    if (requestFiles.length || toolFiles.length) {
+      currentFiles = await processFiles(requestFiles.concat(toolFiles));
+    }
+  } else if (isInitialAgent && requestFiles.length) {
+    currentFiles = await processFiles(requestFiles);
+  }
+
+  const { attachments, tool_resources } = await primeResources(
+    req,
+    currentFiles,
+    agent.tool_resources,
+  );
   const { tools, toolContextMap } = await loadAgentTools({
     req,
     res,
@@ -101,6 +145,7 @@ const initializeAgentOptions = async ({
   });
 
   const provider = agent.provider;
+  agent.endpoint = provider;
   let getOptions = providerConfigMap[provider];
   if (!getOptions && providerConfigMap[provider.toLowerCase()] != null) {
     agent.provider = provider.toLowerCase();
@@ -112,9 +157,7 @@ const initializeAgentOptions = async ({
     }
     getOptions = initCustom;
     agent.provider = Providers.OPENAI;
-    agent.endpoint = provider.toLowerCase();
   }
-
   const model_parameters = Object.assign(
     {},
     agent.model_parameters ?? { model: agent.model },
@@ -138,6 +181,7 @@ const initializeAgentOptions = async ({
     agent.provider = options.provider;
   }
 
+  /** @type {import('@librechat/agents').ClientOptions} */
   agent.model_parameters = Object.assign(model_parameters, options.llmConfig);
   if (options.configOptions) {
     agent.model_parameters.configuration = options.configOptions;
@@ -156,15 +200,16 @@ const initializeAgentOptions = async ({
 
   const tokensModel =
     agent.provider === EModelEndpoint.azureOpenAI ? agent.model : agent.model_parameters.model;
+  const maxTokens = agent.model_parameters.maxOutputTokens ?? agent.model_parameters.maxTokens ?? 0;
 
   return {
     ...agent,
     tools,
+    attachments,
     toolContextMap,
     maxContextTokens:
       agent.max_context_tokens ??
-      getModelMaxTokens(tokensModel, providerEndpointMap[provider]) ??
-      4000,
+      ((getModelMaxTokens(tokensModel, providerEndpointMap[provider]) ?? 4000) - maxTokens) * 0.9,
   };
 };
 
@@ -197,11 +242,6 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     throw new Error('Agent not found');
   }
 
-  const { attachments, tool_resources } = await primeResources(
-    endpointOption.attachments,
-    primaryAgent.tool_resources,
-  );
-
   const agentConfigs = new Map();
 
   // Handle primary agent
@@ -210,7 +250,6 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     res,
     agent: primaryAgent,
     endpointOption,
-    tool_resources,
     isInitialAgent: true,
   });
 
@@ -240,18 +279,21 @@ const initializeClient = async ({ req, res, endpointOption }) => {
 
   const client = new AgentClient({
     req,
-    agent: primaryConfig,
+    res,
     sender,
-    attachments,
     contentParts,
+    agentConfigs,
     eventHandlers,
     collectedUsage,
+    aggregateContent,
     artifactPromises,
+    agent: primaryConfig,
     spec: endpointOption.spec,
     iconURL: endpointOption.iconURL,
-    agentConfigs,
     endpoint: EModelEndpoint.agents,
+    attachments: primaryConfig.attachments,
     maxContextTokens: primaryConfig.maxContextTokens,
+    resendFiles: primaryConfig.model_parameters?.resendFiles ?? true,
   });
 
   return { client };

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

@@ -20,10 +20,19 @@ const addTitle = async (req, { text, response, client }) => {
 
   const titleCache = getLogStores(CacheKeys.GEN_TITLE);
   const key = `${req.user.id}-${response.conversationId}`;
+  const responseText =
+    response?.content && Array.isArray(response?.content)
+      ? response.content.reduce((acc, block) => {
+        if (block?.type === 'text') {
+          return acc + block.text;
+        }
+        return acc;
+      }, '')
+      : (response?.content ?? response?.text ?? '');
 
   const title = await client.titleConvo({
     text,
-    responseText: response?.text ?? '',
+    responseText,
     conversationId: response.conversationId,
   });
   await titleCache.set(key, title, 120000);

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

@@ -48,7 +48,8 @@ function getClaudeHeaders(model, supportsCacheControl) {
     };
   } else if (/claude-3[-.]7/.test(model)) {
     return {
-      'anthropic-beta': 'output-128k-2025-02-19,prompt-caching-2024-07-31',
+      'anthropic-beta':
+        'token-efficient-tools-2025-02-19,output-128k-2025-02-19,prompt-caching-2024-07-31',
     };
   } else {
     return {

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

@@ -27,6 +27,7 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
 
   if (anthropicConfig) {
     clientOptions.streamRate = anthropicConfig.streamRate;
+    clientOptions.titleModel = anthropicConfig.titleModel;
   }
 
   /** @type {undefined | TBaseEndpoint} */

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

@@ -1,6 +1,6 @@
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const { anthropicSettings, removeNullishValues } = require('librechat-data-provider');
-const { checkPromptCacheSupport, getClaudeHeaders } = require('./helpers');
+const { checkPromptCacheSupport, getClaudeHeaders, configureReasoning } = require('./helpers');
 
 /**
  * Generates configuration options for creating an Anthropic language model (LLM) instance.
@@ -49,13 +49,14 @@ function getLLMConfig(apiKey, options = {}) {
     clientOptions: {},
   };
 
+  requestOptions = configureReasoning(requestOptions, systemOptions);
+
   if (!/claude-3[-.]7/.test(mergedOptions.model)) {
-    if (mergedOptions.topP !== undefined) {
-      requestOptions.topP = mergedOptions.topP;
-    }
-    if (mergedOptions.topK !== undefined) {
-      requestOptions.topK = mergedOptions.topK;
-    }
+    requestOptions.topP = mergedOptions.topP;
+    requestOptions.topK = mergedOptions.topK;
+  } else if (requestOptions.thinking == null) {
+    requestOptions.topP = mergedOptions.topP;
+    requestOptions.topK = mergedOptions.topK;
   }
 
   const supportsCacheControl =

api/server/services/Endpoints/anthropic/llm.spec.js

@@ -109,4 +109,45 @@ describe('getLLMConfig', () => {
     // Just verifying that the promptCache setting is processed
     expect(result.llmConfig).toBeDefined();
   });
+
+  it('should include topK and topP for Claude-3.7 models when thinking is not enabled', () => {
+    // Test with thinking explicitly set to null/undefined
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        topK: 10,
+        topP: 0.9,
+        thinking: false,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('topK', 10);
+    expect(result.llmConfig).toHaveProperty('topP', 0.9);
+
+    // Test with thinking explicitly set to false
+    const result2 = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        topK: 10,
+        topP: 0.9,
+        thinking: false,
+      },
+    });
+
+    expect(result2.llmConfig).toHaveProperty('topK', 10);
+    expect(result2.llmConfig).toHaveProperty('topP', 0.9);
+
+    // Test with decimal notation as well
+    const result3 = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3.7-sonnet',
+        topK: 10,
+        topP: 0.9,
+        thinking: false,
+      },
+    });
+
+    expect(result3.llmConfig).toHaveProperty('topK', 10);
+    expect(result3.llmConfig).toHaveProperty('topP', 0.9);
+  });
 });

api/server/services/Endpoints/bedrock/build.js

@@ -1,6 +1,5 @@
-const { removeNullishValues, bedrockInputParser } = require('librechat-data-provider');
+const { removeNullishValues } = require('librechat-data-provider');
 const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
-const { logger } = require('~/config');
 
 const buildOptions = (endpoint, parsedBody) => {
   const {
@@ -15,12 +14,6 @@ const buildOptions = (endpoint, parsedBody) => {
     artifacts,
     ...model_parameters
   } = parsedBody;
-  let parsedParams = model_parameters;
-  try {
-    parsedParams = bedrockInputParser.parse(model_parameters);
-  } catch (error) {
-    logger.warn('Failed to parse bedrock input', error);
-  }
   const endpointOption = removeNullishValues({
     endpoint,
     name,
@@ -31,7 +24,7 @@ const buildOptions = (endpoint, parsedBody) => {
     spec,
     promptPrefix,
     maxContextTokens,
-    model_parameters: parsedParams,
+    model_parameters,
   });
 
   if (typeof artifacts === 'string') {

api/server/services/Endpoints/bedrock/initialize.js

@@ -23,8 +23,9 @@ const initializeClient = async ({ req, res, endpointOption }) => {
   const agent = {
     id: EModelEndpoint.bedrock,
     name: endpointOption.name,
-    instructions: endpointOption.promptPrefix,
     provider: EModelEndpoint.bedrock,
+    endpoint: EModelEndpoint.bedrock,
+    instructions: endpointOption.promptPrefix,
     model: endpointOption.model_parameters.model,
     model_parameters: endpointOption.model_parameters,
   };
@@ -54,6 +55,7 @@ const initializeClient = async ({ req, res, endpointOption }) => {
 
   const client = new AgentClient({
     req,
+    res,
     agent,
     sender,
     // tools,

api/server/services/Endpoints/bedrock/options.js

@@ -1,14 +1,16 @@
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const {
-  EModelEndpoint,
-  Constants,
   AuthType,
+  Constants,
+  EModelEndpoint,
+  bedrockInputParser,
+  bedrockOutputParser,
   removeNullishValues,
 } = require('librechat-data-provider');
 const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
 const { sleep } = require('~/server/utils');
 
-const getOptions = async ({ req, endpointOption }) => {
+const getOptions = async ({ req, overrideModel, endpointOption }) => {
   const {
     BEDROCK_AWS_SECRET_ACCESS_KEY,
     BEDROCK_AWS_ACCESS_KEY_ID,
@@ -62,39 +64,44 @@ const getOptions = async ({ req, endpointOption }) => {
 
   /** @type {BedrockClientOptions} */
   const requestOptions = {
-    model: endpointOption.model,
+    model: overrideModel ?? endpointOption.model,
     region: BEDROCK_AWS_DEFAULT_REGION,
-    streaming: true,
-    streamUsage: true,
-    callbacks: [
-      {
-        handleLLMNewToken: async () => {
-          if (!streamRate) {
-            return;
-          }
-          await sleep(streamRate);
-        },
-      },
-    ],
   };
 
-  if (credentials) {
-    requestOptions.credentials = credentials;
-  }
-
-  if (BEDROCK_REVERSE_PROXY) {
-    requestOptions.endpointHost = BEDROCK_REVERSE_PROXY;
-  }
-
   const configOptions = {};
   if (PROXY) {
     /** NOTE: NOT SUPPORTED BY BEDROCK */
     configOptions.httpAgent = new HttpsProxyAgent(PROXY);
   }
 
+  const llmConfig = bedrockOutputParser(
+    bedrockInputParser.parse(
+      removeNullishValues(Object.assign(requestOptions, endpointOption.model_parameters)),
+    ),
+  );
+
+  if (credentials) {
+    llmConfig.credentials = credentials;
+  }
+
+  if (BEDROCK_REVERSE_PROXY) {
+    llmConfig.endpointHost = BEDROCK_REVERSE_PROXY;
+  }
+
+  llmConfig.callbacks = [
+    {
+      handleLLMNewToken: async () => {
+        if (!streamRate) {
+          return;
+        }
+        await sleep(streamRate);
+      },
+    },
+  ];
+
   return {
     /** @type {BedrockClientOptions} */
-    llmConfig: removeNullishValues(Object.assign(requestOptions, endpointOption.model_parameters)),
+    llmConfig,
     configOptions,
   };
 };

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

@@ -141,7 +141,8 @@ const initializeClient = async ({ req, res, endpointOption, optionsOnly, overrid
         },
         clientOptions,
       );
-      const options = getLLMConfig(apiKey, clientOptions);
+      clientOptions.modelOptions.user = req.user.id;
+      const options = getLLMConfig(apiKey, clientOptions, endpoint);
       if (!customOptions.streamRate) {
         return options;
       }