feat: simplify STTService request handling by refining SDK usage and improving error logging

.env.example

@@ -53,7 +53,7 @@ DEBUG_CONSOLE=false
 #                     Endpoints                     #
 #===================================================#
 
-# ENDPOINTS=openAI,assistants,azureOpenAI,google,gptPlugins,anthropic
+# ENDPOINTS=openAI,assistants,azureOpenAI,bingAI,google,gptPlugins,anthropic
 
 PROXY=
 
@@ -105,6 +105,13 @@ ANTHROPIC_API_KEY=user_provided
 # AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME= # Deprecated
 # PLUGINS_USE_AZURE="true" # Deprecated
 
+#============#
+# BingAI     #
+#============#
+
+BINGAI_TOKEN=user_provided
+# BINGAI_HOST=https://cn.bing.com
+
 #=================#
 #   AWS Bedrock   #
 #=================#
@@ -112,7 +119,6 @@ ANTHROPIC_API_KEY=user_provided
 # BEDROCK_AWS_DEFAULT_REGION=us-east-1 # A default region must be provided
 # BEDROCK_AWS_ACCESS_KEY_ID=someAccessKey
 # BEDROCK_AWS_SECRET_ACCESS_KEY=someSecretAccessKey
-# BEDROCK_AWS_SESSION_TOKEN=someSessionToken
 
 # Note: This example list is not meant to be exhaustive. If omitted, all known, supported model IDs will be included for you.
 # BEDROCK_AWS_MODELS=anthropic.claude-3-5-sonnet-20240620-v1:0,meta.llama3-1-8b-instruct-v1:0
@@ -131,13 +137,10 @@ ANTHROPIC_API_KEY=user_provided
 #============#
 
 GOOGLE_KEY=user_provided
-
 # GOOGLE_REVERSE_PROXY=
-# Some reverse proxies do not support the X-goog-api-key header, uncomment to pass the API key in Authorization header instead.
-# GOOGLE_AUTH_HEADER=true
 
 # Gemini API (AI Studio)
-# GOOGLE_MODELS=gemini-2.0-flash-exp,gemini-2.0-flash-thinking-exp-1219,gemini-exp-1121,gemini-exp-1114,gemini-1.5-flash-latest,gemini-1.0-pro,gemini-1.0-pro-001,gemini-1.0-pro-latest,gemini-1.0-pro-vision-latest,gemini-1.5-pro-latest,gemini-pro,gemini-pro-vision
+# GOOGLE_MODELS=gemini-1.5-flash-latest,gemini-1.0-pro,gemini-1.0-pro-001,gemini-1.0-pro-latest,gemini-1.0-pro-vision-latest,gemini-1.5-pro-latest,gemini-pro,gemini-pro-vision
 
 # Vertex AI
 # GOOGLE_MODELS=gemini-1.5-flash-preview-0514,gemini-1.5-pro-preview-0514,gemini-1.0-pro-vision-001,gemini-1.0-pro-002,gemini-1.0-pro-001,gemini-pro-vision,gemini-1.0-pro
@@ -163,22 +166,21 @@ GOOGLE_KEY=user_provided
 # GOOGLE_SAFETY_HATE_SPEECH=BLOCK_ONLY_HIGH
 # GOOGLE_SAFETY_HARASSMENT=BLOCK_ONLY_HIGH
 # GOOGLE_SAFETY_DANGEROUS_CONTENT=BLOCK_ONLY_HIGH
-# GOOGLE_SAFETY_CIVIC_INTEGRITY=BLOCK_ONLY_HIGH
 
 #============#
 # OpenAI     #
 #============#
 
 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=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
 
 DEBUG_OPENAI=false
 
 # TITLE_CONVO=false
-# OPENAI_TITLE_MODEL=gpt-4o-mini
+# OPENAI_TITLE_MODEL=gpt-3.5-turbo
 
 # OPENAI_SUMMARIZE=true
-# OPENAI_SUMMARY_MODEL=gpt-4o-mini
+# OPENAI_SUMMARY_MODEL=gpt-3.5-turbo
 
 # OPENAI_FORCE_PROMPT=true
 
@@ -249,16 +251,11 @@ AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
 # DALLE3_AZURE_API_VERSION=
 # DALLE2_AZURE_API_VERSION=
 
-
 # Google
 #-----------------
 GOOGLE_SEARCH_API_KEY=
 GOOGLE_CSE_ID=
 
-# YOUTUBE
-#-----------------
-YOUTUBE_API_KEY=
-
 # SerpAPI
 #-----------------
 SERPAPI_API_KEY=
@@ -389,22 +386,12 @@ FACEBOOK_CALLBACK_URL=/oauth/facebook/callback
 GITHUB_CLIENT_ID=
 GITHUB_CLIENT_SECRET=
 GITHUB_CALLBACK_URL=/oauth/github/callback
-# GitHub Eenterprise
-# GITHUB_ENTERPRISE_BASE_URL=
-# GITHUB_ENTERPRISE_USER_AGENT=
 
 # Google
 GOOGLE_CLIENT_ID=
 GOOGLE_CLIENT_SECRET=
 GOOGLE_CALLBACK_URL=/oauth/google/callback
 
-# Apple
-APPLE_CLIENT_ID=
-APPLE_TEAM_ID=
-APPLE_KEY_ID=
-APPLE_PRIVATE_KEY_PATH=
-APPLE_CALLBACK_URL=/oauth/apple/callback
-
 # OpenID
 OPENID_CLIENT_ID=
 OPENID_CLIENT_SECRET=
@@ -522,9 +509,4 @@ HELP_AND_FAQ_URL=https://librechat.ai
 
 # no-cache: Forces validation with server before using cached version
 # no-store: Prevents storing the response entirely
-# must-revalidate: Prevents using stale content when offline
-
-#=====================================================#
-#                  OpenWeather                        #
-#=====================================================#
-OPENWEATHER_API_KEY=
+# must-revalidate: Prevents using stale content when offline

.eslintrc.js

@@ -0,0 +1,173 @@
+module.exports = {
+  env: {
+    browser: true,
+    es2021: true,
+    node: true,
+    commonjs: true,
+    es6: true,
+  },
+  extends: [
+    'eslint:recommended',
+    'plugin:react/recommended',
+    'plugin:react-hooks/recommended',
+    'plugin:jest/recommended',
+    'prettier',
+    'plugin:jsx-a11y/recommended',
+  ],
+  ignorePatterns: [
+    'client/dist/**/*',
+    'client/public/**/*',
+    'e2e/playwright-report/**/*',
+    'packages/data-provider/types/**/*',
+    'packages/data-provider/dist/**/*',
+    'packages/data-provider/test_bundle/**/*',
+    'data-node/**/*',
+    'meili_data/**/*',
+    'node_modules/**/*',
+  ],
+  parser: '@typescript-eslint/parser',
+  parserOptions: {
+    ecmaVersion: 'latest',
+    sourceType: 'module',
+    ecmaFeatures: {
+      jsx: true,
+    },
+  },
+  plugins: ['react', 'react-hooks', '@typescript-eslint', 'import', 'jsx-a11y'],
+  rules: {
+    'react/react-in-jsx-scope': 'off',
+    '@typescript-eslint/ban-ts-comment': ['error', { 'ts-ignore': 'allow' }],
+    indent: ['error', 2, { SwitchCase: 1 }],
+    'max-len': [
+      'error',
+      {
+        code: 120,
+        ignoreStrings: true,
+        ignoreTemplateLiterals: true,
+        ignoreComments: true,
+      },
+    ],
+    'linebreak-style': 0,
+    curly: ['error', 'all'],
+    semi: ['error', 'always'],
+    'object-curly-spacing': ['error', 'always'],
+    'no-multiple-empty-lines': ['error', { max: 1 }],
+    'no-trailing-spaces': 'error',
+    'comma-dangle': ['error', 'always-multiline'],
+    // "arrow-parens": [2, "as-needed", { requireForBlockBody: true }],
+    // 'no-plusplus': ['error', { allowForLoopAfterthoughts: true }],
+    'no-console': 'off',
+    'import/no-cycle': 'error',
+    'import/no-self-import': 'error',
+    'import/extensions': 'off',
+    'no-promise-executor-return': 'off',
+    'no-param-reassign': 'off',
+    'no-continue': 'off',
+    'no-restricted-syntax': 'off',
+    'react/prop-types': ['off'],
+    'react/display-name': ['off'],
+    'no-nested-ternary': 'error',
+    'no-unused-vars': ['error', { varsIgnorePattern: '^_' }],
+    quotes: ['error', 'single'],
+  },
+  overrides: [
+    {
+      files: ['**/*.ts', '**/*.tsx'],
+      rules: {
+        'no-unused-vars': 'off', // off because it conflicts with '@typescript-eslint/no-unused-vars'
+        'react/display-name': 'off',
+        '@typescript-eslint/no-unused-vars': 'warn',
+      },
+    },
+    {
+      files: ['rollup.config.js', '.eslintrc.js', 'jest.config.js'],
+      env: {
+        node: true,
+      },
+    },
+    {
+      files: [
+        '**/*.test.js',
+        '**/*.test.jsx',
+        '**/*.test.ts',
+        '**/*.test.tsx',
+        '**/*.spec.js',
+        '**/*.spec.jsx',
+        '**/*.spec.ts',
+        '**/*.spec.tsx',
+        'setupTests.js',
+      ],
+      env: {
+        jest: true,
+        node: true,
+      },
+      rules: {
+        'react/display-name': 'off',
+        'react/prop-types': 'off',
+        'react/no-unescaped-entities': 'off',
+      },
+    },
+    {
+      files: ['**/*.ts', '**/*.tsx'],
+      parser: '@typescript-eslint/parser',
+      parserOptions: {
+        project: './client/tsconfig.json',
+      },
+      plugins: ['@typescript-eslint/eslint-plugin', 'jest'],
+      extends: [
+        'plugin:@typescript-eslint/eslint-recommended',
+        'plugin:@typescript-eslint/recommended',
+      ],
+      rules: {
+        '@typescript-eslint/no-explicit-any': 'error',
+        '@typescript-eslint/no-unnecessary-condition': 'warn',
+        '@typescript-eslint/strict-boolean-expressions': 'warn',
+      },
+    },
+    {
+      files: './packages/data-provider/**/*.ts',
+      overrides: [
+        {
+          files: '**/*.ts',
+          parser: '@typescript-eslint/parser',
+          parserOptions: {
+            project: './packages/data-provider/tsconfig.json',
+          },
+        },
+      ],
+    },
+    {
+      files: './config/translations/**/*.ts',
+      parser: '@typescript-eslint/parser',
+      parserOptions: {
+        project: './config/translations/tsconfig.json',
+      },
+    },
+    {
+      files: ['./packages/data-provider/specs/**/*.ts'],
+      parserOptions: {
+        project: './packages/data-provider/tsconfig.spec.json',
+      },
+    },
+  ],
+  settings: {
+    react: {
+      createClass: 'createReactClass', // Regex for Component Factory to use,
+      // default to "createReactClass"
+      pragma: 'React', // Pragma to use, default to "React"
+      fragment: 'Fragment', // Fragment to use (may be a property of <pragma>), default to "Fragment"
+      version: 'detect', // React version. "detect" automatically picks the version you have installed.
+    },
+    'import/parsers': {
+      '@typescript-eslint/parser': ['.ts', '.tsx'],
+    },
+    'import/resolver': {
+      typescript: {
+        project: ['./client/tsconfig.json'],
+      },
+      node: {
+        project: ['./client/tsconfig.json'],
+      },
+    },
+  },
+};

.github/ISSUE_TEMPLATE/BUG-REPORT.yml

@@ -1,19 +1,12 @@
 name: Bug Report
 description: File a bug report
 title: "[Bug]: "
-labels: ["🐛 bug"]
+labels: ["bug"]
 body:
   - type: markdown
     attributes:
       value: |
         Thanks for taking the time to fill out this bug report!
-        
-        Before submitting, please:
-        - Search existing [Issues and Discussions](https://github.com/danny-avila/LibreChat/discussions) to see if your bug has already been reported
-        - Use [Discussions](https://github.com/danny-avila/LibreChat/discussions) instead of Issues for:
-          - General inquiries
-          - Help with setup
-          - Questions about whether you're experiencing a bug
   - type: textarea
     id: what-happened
     attributes:
@@ -22,23 +15,6 @@ body:
       placeholder: Please give as many details as possible
     validations:
       required: true
-  - type: textarea
-    id: version-info
-    attributes:
-      label: Version Information
-      description: |
-        If using Docker, please run and provide the output of:
-        ```bash
-        docker images | grep librechat
-        ```
-        
-        If running from source, please run and provide the output of:
-        ```bash
-        git rev-parse HEAD
-        ```
-      placeholder: Paste the output here
-    validations:
-      required: true
   - type: textarea
     id: steps-to-reproduce
     attributes:
@@ -63,21 +39,7 @@ body:
     id: logs
     attributes:
       label: Relevant log output
-      description: |
-        Please paste relevant logs that were created when reproducing the error.
-        
-        Log locations:
-        - Docker: Project root directory ./logs
-        - npm: ./api/logs
-        
-        There are two types of logs that can help diagnose the issue:
-        - debug logs (debug-YYYY-MM-DD.log)
-        - error logs (error-YYYY-MM-DD.log)
-        
-        Error logs contain exact stack traces and are especially helpful, but both can provide valuable information.
-        Please only include the relevant portions of logs that correspond to when you reproduced the error.
-
-        For UI-related issues, browser console logs can be very helpful. You can provide these as screenshots or paste the text here.
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
       render: shell
   - type: textarea
     id: screenshots
@@ -91,4 +53,4 @@ body:
       description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
       options:
         - label: I agree to follow this project's Code of Conduct
-          required: true
+          required: true

.github/ISSUE_TEMPLATE/FEATURE-REQUEST.yml

@@ -1,7 +1,7 @@
 name: Feature Request
 description: File a feature request
-title: "[Enhancement]: "
-labels: ["✨ enhancement"]
+title: "Enhancement: "
+labels: ["enhancement"]
 body:
   - type: markdown
     attributes:

.github/ISSUE_TEMPLATE/NEW-LANGUAGE-REQUEST.yml

@@ -1,33 +0,0 @@
-name: New Language Request
-description: Request to add a new language for LibreChat translations.
-title: "New Language Request: "
-labels: ["✨ enhancement", "🌍 i18n"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for taking the time to submit a new language request! Please fill out the following details so we can review your request.
-  - type: input
-    id: language_name
-    attributes:
-      label: Language Name
-      description: Please provide the full name of the language (e.g., Spanish, Mandarin).
-      placeholder: e.g., Spanish
-    validations:
-      required: true
-  - type: input
-    id: iso_code
-    attributes:
-      label: ISO 639-1 Code
-      description: Please provide the ISO 639-1 code for the language (e.g., es for Spanish). You can refer to [this list](https://www.w3schools.com/tags/ref_language_codes.asp) for valid codes.
-      placeholder: e.g., es
-    validations:
-      required: true
-  - type: checkboxes
-    id: terms
-    attributes:
-      label: Code of Conduct
-      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md).
-      options:
-        - label: I agree to follow this project's Code of Conduct
-          required: true

.github/ISSUE_TEMPLATE/QUESTION.yml

@@ -1,7 +1,7 @@
 name: Question
 description: Ask your question
 title: "[Question]: "
-labels: ["❓ question"]
+labels: ["question"]
 body:
   - type: markdown
     attributes:

.github/workflows/backend-review.yml

@@ -33,12 +33,9 @@ jobs:
       - name: Install dependencies
         run: npm ci
 
-      - name: Install Data Provider Package
+      - name: Install Data Provider
         run: npm run build:data-provider
-
-      - name: Install MCP Package
-        run: npm run build:mcp
-
+      
       - name: Create empty auth.json file
         run: |
           mkdir -p api/data
@@ -61,4 +58,9 @@ 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 linters
+        uses: wearerequired/lint-action@v2
+        with:
+          eslint: true

.github/workflows/create-release-pr.yml

@@ -1,41 +0,0 @@
-name: Create Release PR
-
-on:
-  workflow_dispatch:
-
-jobs:
-  create-release-pr:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-      pull-requests: write
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Get last version from package.json
-        id: version
-        run: |
-          LAST_VERSION=$(jq -r '.version' package.json)
-          echo "Last version: $LAST_VERSION"
-          echo "LAST_VERSION=$LAST_VERSION" >> $GITHUB_ENV
-          echo "last_version=$LAST_VERSION" >> $GITHUB_OUTPUT
-
-      - name: Create New Release Pull Request
-        uses: peter-evans/create-pull-request@v7
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          sign-commits: true
-          commit-message: "chore(release): prepare for v${{ steps.version.outputs.last_version }}"
-          base: release
-          branch: release/v${{ steps.version.outputs.last_version }}
-          reviewers: danny-avila
-          title: "✨ v${{ steps.version.outputs.last_version }}"
-          body: |
-            **Release Details**:
-            - 🚀 **Version**: v${{ steps.version.outputs.last_version }}
-            - 📌 **Branch**: `main` → `release`
-            - 🔄 **Merging this PR will finalize the release.**
-          labels: "🚀 release"

.github/workflows/eslint-ci.yml

@@ -1,60 +0,0 @@
-name: ESLint Code Quality Checks
-
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - release/*
-    paths:
-      - 'api/**'
-      - 'client/**'
-
-jobs:
-  eslint_checks:
-    name: Run ESLint Linting
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      security-events: write
-      actions: read
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Node.js 20.x
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: npm
-
-      - name: Install dependencies
-        run: npm ci
-
-      # Run ESLint on changed files within the api/ and client/ directories.
-      - name: Run ESLint on changed files
-        env:
-          SARIF_ESLINT_IGNORE_SUPPRESSED: "true"
-        run: |
-          # Extract the base commit SHA from the pull_request event payload.
-          BASE_SHA=$(jq --raw-output .pull_request.base.sha "$GITHUB_EVENT_PATH")
-          echo "Base commit SHA: $BASE_SHA"
-          
-          # List files changed between the base commit and HEAD, filtering only those in api/ or client/
-          CHANGED_FILES=$(git diff --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD | grep -E '^(api|client)/.*\.(js|jsx|ts|tsx)$')
-          echo "Files to lint:"
-          echo "$CHANGED_FILES"
-          
-          # Run ESLint on the changed files.
-          npx eslint --no-error-on-unmatched-pattern \
-            --config eslint.config.mjs \
-            --format @microsoft/eslint-formatter-sarif \
-            --output-file eslint-results.sarif $CHANGED_FILES || true
-
-      - name: Upload analysis results to GitHub
-        uses: github/codeql-action/upload-sarif@v3
-        with:
-          sarif_file: eslint-results.sarif
-          wait-for-processing: true

.github/workflows/locize-i18n-sync.yml

@@ -1,73 +0,0 @@
-name: Push New Keys & Create Translation PR
-
-on:
-  push:
-    branches: [main]
-  repository_dispatch:
-    types: [locize/versionPublished]
-
-jobs:
-  push-new-keys:
-    name: Push Missing Translation Keys to locize
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout Repository
-        uses: actions/checkout@v4
-
-      - name: Set Up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-
-      - name: Install locize CLI
-        run: npm install -g locize-cli
-
-      # Only push keys if this workflow was triggered by a push event.
-      - name: Push Missing Translation Keys to locize
-        if: ${{ github.event_name == 'push' }}
-        run: |
-          cd client/src/locales
-          locize save-missing --api-key ${{ secrets.LOCIZE_API_KEY }} --project-id ${{ secrets.LOCIZE_PROJECT_ID }} --language en
-
-      # When triggered by repository_dispatch, skip pushing new keys.
-      - name: Skip push step on non-push events
-        if: ${{ github.event_name != 'push' }}
-        run: echo "Skipping push of new keys as the event is not a push."
-
-  create-pull-request:
-    name: Create Translation PR on Version Published
-    runs-on: ubuntu-latest
-    # This job will wait for push-new-keys to complete.
-    needs: push-new-keys
-    permissions:
-      contents: write
-      pull-requests: write
-    steps:
-      # 1. Check out the repository.
-      - name: Checkout Repository
-        uses: actions/checkout@v4
-
-      # 2. Download translation files from locize.
-      - name: Download Translations from locize
-        uses: locize/download@v1
-        with:
-          project-id: ${{ secrets.LOCIZE_PROJECT_ID }}
-          path: "client/src/locales"
-
-      # 3. Create a Pull Request using built-in functionality.
-      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          sign-commits: true
-          commit-message: "🌍 i18n: Update translation.json with latest translations"
-          base: main
-          branch: i18n/locize-translation-update
-          reviewers: danny-avila
-          title: "🌍 i18n: Update translation.json with latest translations"
-          body: |
-            **Description**:
-            - 🎯 **Objective**: Update `translation.json` with the latest translations from locize.
-            - 🔍 **Details**: This PR is automatically generated upon receiving a versionPublished event with version "latest". It reflects the newest translations provided by locize.
-            - ✅ **Status**: Ready for review.
-          labels: "🌍 i18n"

.github/workflows/main-version-bump.yml

@@ -1,110 +0,0 @@
-name: Semantic Version Bump (via Labels)
-
-on:
-  pull_request:
-    types:
-      - closed
-
-jobs:
-  versioning:
-    if: github.event.pull_request.merged == true && github.base_ref == 'main'
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-      pull-requests: write
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Install dependencies
-        run: npm install -g semver jq
-
-      - name: Get last version from package.json
-        id: version
-        run: |
-          LAST_VERSION=$(jq -r '.version' package.json)
-          echo "Last version: $LAST_VERSION"
-          echo "LAST_VERSION=$LAST_VERSION" >> $GITHUB_ENV
-
-      - name: Check if an existing version bump PR exists
-        id: check_existing_pr
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          EXISTING_PR=$(gh pr list --state open --json number,title --jq '.[] | select(.title | contains("chore(version)")) | {number: .number, title: .title}')
-          EXISTING_PR_NUMBER=$(echo "$EXISTING_PR" | jq -r '.number')
-          EXISTING_PR_VERSION=$(echo "$EXISTING_PR" | grep -oP '\d+\.\d+\.\d+' | head -n 1)
-
-          if [[ -n "$EXISTING_PR_NUMBER" ]]; then
-            echo "Closing existing PR #$EXISTING_PR_NUMBER"
-            gh pr close "$EXISTING_PR_NUMBER" --comment "🚀 Auto-closing this PR in favor of a new version bump."
-            echo "EXISTING_PR_NUMBER=$EXISTING_PR_NUMBER" >> $GITHUB_ENV
-          fi
-
-          if [[ -n "$EXISTING_PR_VERSION" ]]; then
-            echo "EXISTING_PR_VERSION=$EXISTING_PR_VERSION" >> $GITHUB_ENV
-          fi
-
-      - name: Determine new version based on PR labels
-        id: bump_version
-        env:
-          PR_LABELS: ${{ join(github.event.pull_request.labels.*.name, ' ') }}
-          BASE_VERSION: ${{ env.EXISTING_PR_VERSION || env.LAST_VERSION }}
-        run: |
-          echo "Labels on PR: $PR_LABELS"
-          echo "Base version: $BASE_VERSION"
-
-          MAJOR=false
-          MINOR=false
-          PATCH=false
-
-          if echo "$PR_LABELS" | grep -qi "💥 breaking change"; then
-            MAJOR=true
-          fi
-          if echo "$PR_LABELS" | grep -qi "✨ feat"; then
-            MINOR=true
-          fi
-          if echo "$PR_LABELS" | grep -qi "🔧 fix"; then
-            PATCH=true
-          fi
-
-          NEW_VERSION=$BASE_VERSION
-
-          if [ "$MAJOR" = true ]; then
-            NEW_VERSION=$(semver -i major $BASE_VERSION)
-          elif [ "$MINOR" = true ]; then
-            NEW_VERSION=$(semver -i minor $BASE_VERSION)
-          elif [ "$PATCH" = true ]; then
-            NEW_VERSION=$(semver -i patch $BASE_VERSION)
-          fi
-
-          echo "NEW_VERSION=$NEW_VERSION" >> $GITHUB_ENV
-          echo "Next version: $NEW_VERSION"
-
-      - name: Update package.json version
-        run: |
-          jq --arg version "$NEW_VERSION" '.version = $version' package.json > temp.json && mv temp.json package.json
-
-      - name: Install dependencies and update package-lock.json
-        run: |
-          npm install
-          npm ci
-
-      - name: Create New Pull Request
-        uses: peter-evans/create-pull-request@v7
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          sign-commits: true
-          commit-message: "chore(version): bump version to ${{ env.NEW_VERSION }}"
-          base: main
-          branch: version-bump/${{ env.NEW_VERSION }}
-          reviewers: danny-avila
-          title: "chore(version): Bump version to ${{ env.NEW_VERSION }}"
-          body: |
-            **Description**:
-            - 🎯 **Objective**: Update `package.json` and `package-lock.json` with the latest version bump.
-            - 🔍 **Details**: This PR is automatically generated upon merging PRs with the correct versioning labels.
-            - ✅ **Status**: Ready for review.
-          labels: "📦 version update"

.github/workflows/tag-and-release.yml

@@ -1,113 +0,0 @@
-name: Tag and Release
-
-on:
-  push:
-    branches:
-      - release
-
-jobs:
-  create-tag-release:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Get last version from package.json
-        id: version
-        run: |
-          # Extract the version using jq (make sure jq is installed)
-          LAST_VERSION=$(jq -r '.version' package.json)
-          echo "Last version: $LAST_VERSION"
-          echo "LAST_VERSION=$LAST_VERSION" >> $GITHUB_ENV
-
-      - name: Generate Changelog
-        id: changelog
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          # Get previous tag (if none exists, use a placeholder)
-          PREV_VERSION=$(git tag --sort=-v:refname | head -n 1)
-          if [ -z "$PREV_VERSION" ]; then
-            PREV_VERSION="Initial_Commit"
-          fi
-
-          # Start building the changelog file
-          {
-            echo "## What's Changed"
-            echo ""
-            echo "## [v${LAST_VERSION}](https://github.com/${{ github.repository }}/releases/tag/v${LAST_VERSION})"
-            echo ""
-            if [ "$PREV_VERSION" != "Initial_Commit" ]; then
-              echo "Updates since v${PREV_VERSION} include:"
-              echo "- https://github.com/${{ github.repository }}/compare/v${PREV_VERSION}...v${LAST_VERSION}"
-            else
-              echo "This is the first release."
-            fi
-            echo ""
-          
-            echo "### ✨ New Features"
-            gh pr list --state merged --search "feat" --json title,number,url --jq \
-              '.[] | "* 🚀 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No new features."
-            echo ""
-          
-            echo "### 🖼️ Style"
-            gh pr list --state merged --search "style" --json title,number,url --jq \
-              '.[] | "* 🎨 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No style updates."
-            echo ""
-          
-            echo "### 👐 Accessibility"
-            gh pr list --state merged --search "a11y" --json title,number,url --jq \
-              '.[] | "* 👐 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No accessibility updates."
-            echo ""
-          
-            echo "### 🌍 Internationalization"
-            gh pr list --state merged --search "i18n" --json title,number,url --jq \
-              '.[] | "* 🌏 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No internationalization updates."
-            echo ""
-          
-            echo "### ⚙️ Other Changes"
-            gh pr list --state merged --search "chore OR refactor OR docs" --json title,number,url --jq \
-              '.[] | "* 📦 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No other changes."
-            echo ""
-          
-            echo "### 🔧 Fixes"
-            gh pr list --state merged --search "fix" --json title,number,url --jq \
-              '.[] | "* 🔧 [\(.title) by @\(.url | split("/")[-2])](\(.url))"' || echo "* No fixes."
-            echo ""
-          
-            echo "## New Contributors"
-            # Use jq’s unique_by to get one PR per new author along with its URL
-            gh pr list --state merged --json author,url --jq \
-              'unique_by(.author.login)[] | "* @" + .author.login + " made their first contribution in " + .url' \
-              || echo "* No new contributors."
-            echo ""
-          
-            echo "**Full Changelog**: https://github.com/${{ github.repository }}/compare/v${PREV_VERSION}...v${LAST_VERSION}"
-          } > changelog.md
-
-          # Output the changelog for logging purposes
-          cat changelog.md
-
-          # Save the changelog as a multiline environment variable
-          echo "CHANGELOG<<EOF" >> $GITHUB_ENV
-          cat changelog.md >> $GITHUB_ENV
-          echo "EOF" >> $GITHUB_ENV
-
-      - name: Create Git Tag
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          git tag v${LAST_VERSION}
-          git push origin v${LAST_VERSION}
-
-      - name: Create GitHub Release
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          gh release create v${LAST_VERSION} \
-            --title "Release v${LAST_VERSION}" \
-            --notes "$CHANGELOG"

.prettierrc

@@ -1,19 +0,0 @@
-{
-  "tailwindConfig": "./client/tailwind.config.cjs",
-  "printWidth": 100,
-  "tabWidth": 2,
-  "useTabs": false,
-  "semi": true,
-  "singleQuote": true,
-  "trailingComma": "all",
-  "arrowParens": "always",
-  "embeddedLanguageFormatting": "auto",
-  "insertPragma": false,
-  "proseWrap": "preserve",
-  "quoteProps": "as-needed",
-  "requirePragma": false,
-  "rangeStart": 0,
-  "endOfLine": "auto",
-  "jsxSingleQuote": false,
-  "plugins": ["prettier-plugin-tailwindcss"]
-}

.vscode/launch.json

@@ -10,8 +10,7 @@
       "env": {
         "NODE_ENV": "production"
       },
-      "console": "integratedTerminal",
-      "envFile": "${workspaceFolder}/.env"
+      "console": "integratedTerminal"
     }
   ]
 }

Dockerfile

@@ -1,4 +1,4 @@
-# v0.7.6
+# v0.7.5
 
 # Base node image
 FROM node:20-alpine AS node

Dockerfile.multi

@@ -1,8 +1,8 @@
 # Dockerfile.multi
-# v0.7.6
+# v0.7.5
 
 # Base for all builds
-FROM node:20-alpine AS base-min
+FROM node:20-alpine AS base
 WORKDIR /app
 RUN apk --no-cache add curl
 RUN npm config set fetch-retry-maxtimeout 600000 && \
@@ -10,13 +10,8 @@ RUN npm config set fetch-retry-maxtimeout 600000 && \
     npm config set fetch-retry-mintimeout 15000
 COPY package*.json ./
 COPY packages/data-provider/package*.json ./packages/data-provider/
-COPY packages/mcp/package*.json ./packages/mcp/
 COPY client/package*.json ./client/
 COPY api/package*.json ./api/
-
-# Install all dependencies for every build
-FROM base-min AS base
-WORKDIR /app
 RUN npm ci
 
 # Build data-provider
@@ -24,13 +19,7 @@ FROM base AS data-provider-build
 WORKDIR /app/packages/data-provider
 COPY packages/data-provider ./
 RUN npm run build
-
-# Build mcp package
-FROM base AS mcp-build
-WORKDIR /app/packages/mcp
-COPY packages/mcp ./
-COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
-RUN npm run build
+RUN npm prune --production
 
 # Client build
 FROM base AS client-build
@@ -39,18 +28,17 @@ COPY client ./
 COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
 ENV NODE_OPTIONS="--max-old-space-size=2048"
 RUN npm run build
+RUN npm prune --production
 
 # API setup (including client dist)
-FROM base-min AS api-build
+FROM base AS api-build
 WORKDIR /app
-# Install only production deps
-RUN npm ci --omit=dev
 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=client-build /app/client/dist ./client/dist
 WORKDIR /app/api
+RUN npm prune --production
 EXPOSE 3080
 ENV HOST=0.0.0.0
 CMD ["node", "server/index.js"]

README.md

@@ -38,85 +38,42 @@
 </a>
 </p>
 
-<p align="center">
-  <a href="https://www.librechat.ai/docs/translation">
-    <img 
-      src="https://img.shields.io/badge/dynamic/json.svg?style=for-the-badge&color=2096F3&label=locize&query=%24.translatedPercentage&url=https://api.locize.app/badgedata/4cb2598b-ed4d-469c-9b04-2ed531a8cb45&suffix=%+translated" 
-      alt="Translation Progress">
-  </a>
-</p>
+# 📃 Features
 
-
-# ✨ Features
-
-- 🖥️ **UI & Experience** inspired by ChatGPT with enhanced design and features
-
-- 🤖 **AI Model Selection**:  
-  - Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Assistants API (incl. Azure)
-  - [Custom Endpoints](https://www.librechat.ai/docs/quick_start/custom_endpoints): Use any OpenAI-compatible API with LibreChat, no proxy required
-  - Compatible with [Local & Remote AI Providers](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints):
-    - Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
-    - OpenRouter, Perplexity, ShuttleAI, Deepseek, Qwen, and more
-
-- 🔧 **[Code Interpreter API](https://www.librechat.ai/docs/features/code_interpreter)**: 
-  - Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
-  - Seamless File Handling: Upload, process, and download files directly
-  - No Privacy Concerns: Fully isolated and secure execution
-
-- 🔦 **Agents & Tools Integration**:  
-  - **[LibreChat Agents](https://www.librechat.ai/docs/features/agents)**:
-    - No-Code Custom Assistants: Build specialized, AI-driven helpers without coding  
-    - Flexible & Extensible: Attach tools like DALL-E-3, file search, code execution, and more  
-    - Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, and more
-    - [Model Context Protocol (MCP) Support](https://modelcontextprotocol.io/clients#librechat) for Tools
-  - Use LibreChat Agents and OpenAI Assistants with Files, Code Interpreter, Tools, and API Actions
-
-- 🪄 **Generative UI with Code Artifacts**:  
-  - [Code Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3) allow creation of React, HTML, and Mermaid diagrams directly in chat
-
-- 💾 **Presets & Context Management**:  
-  - Create, Save, & Share Custom Presets  
-  - Switch between AI Endpoints and Presets mid-chat
-  - Edit, Resubmit, and Continue Messages with Conversation branching  
-  - [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 📸  
-  - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
-
-- 🌎 **Multilingual UI**:  
-  - English, 中文, Deutsch, Español, Français, Italiano, Polski, Português Brasileiro
+- 🖥️ UI matching ChatGPT, including Dark mode, Streaming, and latest updates
+- 🤖 AI model selection:
+  - Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, BingAI, ChatGPT, Google Vertex AI, Plugins, Assistants API (including Azure Assistants)
+- ✅ Compatible across both **[Remote & Local AI services](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints):**
+  - groq, Ollama, Cohere, Mistral AI, Apple MLX, koboldcpp, OpenRouter, together.ai, Perplexity, ShuttleAI, and more
+- 🪄 Generative UI with **[Code Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3)**
+   - Create React, HTML code, and Mermaid diagrams right in chat
+- 💾 Create, Save, & Share Custom Presets
+- 🔀 Switch between AI Endpoints and Presets, mid-chat
+- 🔄 Edit, Resubmit, and Continue Messages with Conversation branching
+- 🌿 Fork Messages & Conversations for Advanced Context control
+- 💬 Multimodal Chat:
+    - Upload and analyze images with Claude 3, GPT-4 (including `gpt-4o` and `gpt-4o-mini`), and Gemini Vision 📸
+    - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, & Google. 🗃️
+    - Advanced Agents with Files, Code Interpreter, Tools, and API Actions 🔦
+      - Available through the [OpenAI Assistants API](https://platform.openai.com/docs/assistants/overview) 🌤️
+      - Non-OpenAI Agents in Active Development 🚧
+- 🌎 Multilingual UI:
+  - English, 中文, Deutsch, Español, Français, Italiano, Polski, Português Brasileiro,
   - Русский, 日本語, Svenska, 한국어, Tiếng Việt, 繁體中文, العربية, Türkçe, Nederlands, עברית
-
-- 🧠 **Reasoning UI**:  
-  - Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
-
-- 🎨 **Customizable Interface**:  
-  - Customizable Dropdown & Interface that adapts to both power users and newcomers
-
-- 🗣️ **Speech & Audio**:  
-  - Chat hands-free with Speech-to-Text and Text-to-Speech  
-  - Automatically send and play Audio  
+- 🎨 Customizable Dropdown & Interface: Adapts to both power users and newcomers
+- 📧 Verify your email to ensure secure access
+- 🗣️ Chat hands-free with Speech-to-Text and Text-to-Speech magic
+  - Automatically send and play Audio
   - Supports OpenAI, Azure OpenAI, and Elevenlabs
-
-- 📥 **Import & Export Conversations**:  
-  - Import Conversations from LibreChat, ChatGPT, Chatbot UI  
-  - Export conversations as screenshots, markdown, text, json
-
-- 🔍 **Search & Discovery**:  
-  - Search all messages/conversations
-
-- 👥 **Multi-User & Secure Access**:
-  - Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
-  - Built-in Moderation, and Token spend tools
-
-- ⚙️ **Configuration & Deployment**:  
-  - Configure Proxy, Reverse Proxy, Docker, & many Deployment options  
+- 📥 Import Conversations from LibreChat, ChatGPT, Chatbot UI
+- 📤 Export conversations as screenshots, markdown, text, json
+- 🔍 Search all messages/conversations
+- 🔌 Plugins, including web access, image generation with DALL-E-3 and more
+- 👥 Multi-User, Secure Authentication with Moderation and Token spend tools
+- ⚙️ Configure Proxy, Reverse Proxy, Docker, & many Deployment options:
   - Use completely local or deploy on the cloud
-
-- 📖 **Open-Source & Community**:  
-  - Completely Open-Source & Built in Public  
-  - Community-driven development, support, and feedback
+- 📖 Completely Open-Source & Built in Public
+- 🧑‍🤝‍🧑 Community-driven development, support, and feedback
 
 [For a thorough review of our features, see our docs here](https://docs.librechat.ai/) 📚
 
@@ -126,8 +83,7 @@ LibreChat brings together the future of assistant AIs with the revolutionary tec
 
 With LibreChat, you no longer need to opt for ChatGPT Plus and can instead use free or pay-per-call APIs. We welcome contributions, cloning, and forking to enhance the capabilities of this advanced chatbot platform.
 
-[![Watch the video](https://raw.githubusercontent.com/LibreChat-AI/librechat.ai/main/public/images/changelog/v0.7.6.gif)](https://www.youtube.com/watch?v=ilfwGQtJNlI)
-
+[![Watch the video](https://raw.githubusercontent.com/LibreChat-AI/librechat.ai/main/public/images/changelog/v0.7.5.png)](https://www.youtube.com/watch?v=IDukQ7a2f3U)
 Click on the thumbnail to open the video☝️
 
 ---
@@ -179,8 +135,6 @@ Contributions, suggestions, bug reports and fixes are welcome!
 
 For new features, components, or extensions, please open an issue and discuss before sending a PR.
 
-If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our [Translation Guide](https://www.librechat.ai/docs/translation).
-
 ---
 
 ## 💖 This project exists in its current state thanks to all the people who contribute
@@ -188,15 +142,3 @@ If you'd like to help translate LibreChat into your language, we'd love your con
 <a href="https://github.com/danny-avila/LibreChat/graphs/contributors">
   <img src="https://contrib.rocks/image?repo=danny-avila/LibreChat" />
 </a>
-
----
-
-## 🎉 Special Thanks
-
-We thank [Locize](https://locize.com) for their translation management tools that support multiple languages in LibreChat.
-
-<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">
-  </a>
-</p>

api/app/bingai.js

@@ -0,0 +1,112 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+const { EModelEndpoint } = require('librechat-data-provider');
+const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
+const { logger } = require('~/config');
+
+const askBing = async ({
+  text,
+  parentMessageId,
+  conversationId,
+  jailbreak,
+  jailbreakConversationId,
+  context,
+  systemMessage,
+  conversationSignature,
+  clientId,
+  invocationId,
+  toneStyle,
+  key: expiresAt,
+  onProgress,
+  userId,
+}) => {
+  const isUserProvided = process.env.BINGAI_TOKEN === 'user_provided';
+
+  let key = null;
+  if (expiresAt && isUserProvided) {
+    checkUserKeyExpiry(expiresAt, EModelEndpoint.bingAI);
+    key = await getUserKey({ userId, name: 'bingAI' });
+  }
+
+  const { BingAIClient } = await import('nodejs-gpt');
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' }),
+  };
+
+  const bingAIClient = new BingAIClient({
+    // "_U" cookie from bing.com
+    // userToken:
+    //   isUserProvided ? key : process.env.BINGAI_TOKEN ?? null,
+    // If the above doesn't work, provide all your cookies as a string instead
+    cookies: isUserProvided ? key : process.env.BINGAI_TOKEN ?? null,
+    debug: false,
+    cache: store,
+    host: process.env.BINGAI_HOST || null,
+    proxy: process.env.PROXY || null,
+  });
+
+  let options = {};
+
+  if (jailbreakConversationId == 'false') {
+    jailbreakConversationId = false;
+  }
+
+  if (jailbreak) {
+    options = {
+      jailbreakConversationId: jailbreakConversationId || jailbreak,
+      context,
+      systemMessage,
+      parentMessageId,
+      toneStyle,
+      onProgress,
+      clientOptions: {
+        features: {
+          genImage: {
+            server: {
+              enable: true,
+              type: 'markdown_list',
+            },
+          },
+        },
+      },
+    };
+  } else {
+    options = {
+      conversationId,
+      context,
+      systemMessage,
+      parentMessageId,
+      toneStyle,
+      onProgress,
+      clientOptions: {
+        features: {
+          genImage: {
+            server: {
+              enable: true,
+              type: 'markdown_list',
+            },
+          },
+        },
+      },
+    };
+
+    // don't give those parameters for new conversation
+    // for new conversation, conversationSignature always is null
+    if (conversationSignature) {
+      options.encryptedConversationSignature = conversationSignature;
+      options.clientId = clientId;
+      options.invocationId = invocationId;
+    }
+  }
+
+  logger.debug('bing options', options);
+
+  const res = await bingAIClient.sendMessage(text, options);
+
+  return res;
+
+  // for reference:
+  // https://github.com/waylaidwanderer/node-chatgpt-api/blob/main/demos/use-bing-client.js
+};
+
+module.exports = { askBing };

api/app/chatgpt-browser.js

@@ -0,0 +1,57 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+const { Constants, EModelEndpoint } = require('librechat-data-provider');
+const { getUserKey, checkUserKeyExpiry } = require('../server/services/UserService');
+
+const browserClient = async ({
+  text,
+  parentMessageId,
+  conversationId,
+  model,
+  key: expiresAt,
+  onProgress,
+  onEventMessage,
+  abortController,
+  userId,
+}) => {
+  const isUserProvided = process.env.CHATGPT_TOKEN === 'user_provided';
+
+  let key = null;
+  if (expiresAt && isUserProvided) {
+    checkUserKeyExpiry(expiresAt, EModelEndpoint.chatGPTBrowser);
+    key = await getUserKey({ userId, name: 'chatGPTBrowser' });
+  }
+
+  const { ChatGPTBrowserClient } = await import('nodejs-gpt');
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' }),
+  };
+
+  const clientOptions = {
+    // Warning: This will expose your access token to a third party. Consider the risks before using this.
+    reverseProxyUrl:
+      process.env.CHATGPT_REVERSE_PROXY ?? 'https://ai.fakeopen.com/api/conversation',
+    // Access token from https://chat.openai.com/api/auth/session
+    accessToken: isUserProvided ? key : process.env.CHATGPT_TOKEN ?? null,
+    model: model,
+    debug: false,
+    proxy: process.env.PROXY ?? null,
+    user: userId,
+  };
+
+  const client = new ChatGPTBrowserClient(clientOptions, store);
+  let options = { onProgress, onEventMessage, abortController };
+
+  if (!!parentMessageId && !!conversationId) {
+    options = { ...options, parentMessageId, conversationId };
+  }
+
+  if (parentMessageId === Constants.NO_PARENT) {
+    delete options.conversationId;
+  }
+
+  const res = await client.sendMessage(text, options);
+  return res;
+};
+
+module.exports = { browserClient };

api/app/clients/AnthropicClient.js

@@ -1,5 +1,6 @@
 const Anthropic = require('@anthropic-ai/sdk');
 const { HttpsProxyAgent } = require('https-proxy-agent');
+const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
 const {
   Constants,
   EModelEndpoint,
@@ -18,7 +19,6 @@ const {
 } = require('./prompts');
 const { getModelMaxTokens, getModelMaxOutputTokens, matchModelName } = require('~/utils');
 const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
-const Tokenizer = require('~/server/services/Tokenizer');
 const { sleep } = require('~/server/utils');
 const BaseClient = require('./BaseClient');
 const { logger } = require('~/config');
@@ -26,6 +26,8 @@ const { logger } = require('~/config');
 const HUMAN_PROMPT = '\n\nHuman:';
 const AI_PROMPT = '\n\nAssistant:';
 
+const tokenizersCache = {};
+
 /** Helper function to introduce a delay before retrying */
 function delayBeforeRetry(attempts, baseDelay = 1000) {
   return new Promise((resolve) => setTimeout(resolve, baseDelay * attempts));
@@ -147,6 +149,7 @@ class AnthropicClient extends BaseClient {
 
     this.startToken = '||>';
     this.endToken = '';
+    this.gptEncoder = this.constructor.getTokenizer('cl100k_base');
 
     return this;
   }
@@ -416,7 +419,7 @@ class AnthropicClient extends BaseClient {
     }
 
     let { context: messagesInWindow, remainingContextTokens } =
-      await this.getMessagesWithinTokenLimit({ messages: formattedMessages });
+      await this.getMessagesWithinTokenLimit(formattedMessages);
 
     const tokenCountMap = orderedMessages
       .slice(orderedMessages.length - messagesInWindow.length)
@@ -846,18 +849,22 @@ class AnthropicClient extends BaseClient {
     logger.debug('AnthropicClient doesn\'t use getBuildMessagesOptions');
   }
 
-  getEncoding() {
-    return 'cl100k_base';
+  static getTokenizer(encoding, isModelName = false, extendSpecialTokens = {}) {
+    if (tokenizersCache[encoding]) {
+      return tokenizersCache[encoding];
+    }
+    let tokenizer;
+    if (isModelName) {
+      tokenizer = encodingForModel(encoding, extendSpecialTokens);
+    } else {
+      tokenizer = getEncoding(encoding, extendSpecialTokens);
+    }
+    tokenizersCache[encoding] = tokenizer;
+    return tokenizer;
   }
 
-  /**
-   * Returns the token count of a given text. It also checks and resets the tokenizers if necessary.
-   * @param {string} text - The text to get the token count for.
-   * @returns {number} The token count of the given text.
-   */
   getTokenCount(text) {
-    const encoding = this.getEncoding();
-    return Tokenizer.getTokenCount(text, encoding);
+    return this.gptEncoder.encode(text, 'all').length;
   }
 
   /**

api/app/clients/BaseClient.js

@@ -4,15 +4,16 @@ const {
   supportsBalanceCheck,
   isAgentsEndpoint,
   isParamEndpoint,
-  EModelEndpoint,
   ErrorTypes,
   Constants,
+  CacheKeys,
+  Time,
 } = require('librechat-data-provider');
 const { getMessages, saveMessage, updateMessage, saveConvo } = require('~/models');
 const { addSpaceIfNeeded, isEnabled } = require('~/server/utils');
-const { truncateToolCallOutputs } = require('./prompts');
 const checkBalance = require('~/models/checkBalance');
 const { getFiles } = require('~/models/File');
+const { getLogStores } = require('~/cache');
 const TextStream = require('./TextStream');
 const { logger } = require('~/config');
 
@@ -49,16 +50,6 @@ class BaseClient {
     /** The key for the usage object's output tokens
      * @type {string} */
     this.outputTokensKey = 'completion_tokens';
-    /** @type {Set<string>} */
-    this.savedMessageIds = new Set();
-    /**
-     * Flag to determine if the client re-submitted the latest assistant message.
-     * @type {boolean | undefined} */
-    this.continued;
-    /** @type {TMessage[]} */
-    this.currentMessages = [];
-    /** @type {import('librechat-data-provider').VisionModes | undefined} */
-    this.visionMode;
   }
 
   setOptions() {
@@ -93,7 +84,7 @@ class BaseClient {
       return this.options.agent.id;
     }
 
-    return this.modelOptions?.model ?? this.model;
+    return this.modelOptions.model;
   }
 
   /**
@@ -102,7 +93,7 @@ class BaseClient {
    * @returns {number}
    */
   getTokenCountForResponse(responseMessage) {
-    logger.debug('[BaseClient] `recordTokenUsage` not implemented.', responseMessage);
+    logger.debug('`[BaseClient] recordTokenUsage` not implemented.', responseMessage);
   }
 
   /**
@@ -113,7 +104,7 @@ class BaseClient {
    * @returns {Promise<void>}
    */
   async recordTokenUsage({ promptTokens, completionTokens }) {
-    logger.debug('[BaseClient] `recordTokenUsage` not implemented.', {
+    logger.debug('`[BaseClient] recordTokenUsage` not implemented.', {
       promptTokens,
       completionTokens,
     });
@@ -269,24 +260,17 @@ class BaseClient {
   /**
    * Adds instructions to the messages array. If the instructions object is empty or undefined,
    * the original messages array is returned. Otherwise, the instructions are added to the messages
-   * array either at the beginning (default) or preserving the last message at the end.
+   * array, preserving the last message at the end.
    *
    * @param {Array} messages - An array of messages.
    * @param {Object} instructions - An object containing instructions to be added to the messages.
-   * @param {boolean} [beforeLast=false] - If true, adds instructions before the last message; if false, adds at the beginning.
    * @returns {Array} An array containing messages and instructions, or the original messages if instructions are empty.
    */
-  addInstructions(messages, instructions, beforeLast = false) {
+  addInstructions(messages, instructions) {
+    const payload = [];
     if (!instructions || Object.keys(instructions).length === 0) {
       return messages;
     }
-
-    if (!beforeLast) {
-      return [instructions, ...messages];
-    }
-
-    // Legacy behavior: add instructions before the last message
-    const payload = [];
     if (messages.length > 1) {
       payload.push(...messages.slice(0, -1));
     }
@@ -301,9 +285,6 @@ class BaseClient {
   }
 
   async handleTokenCountMap(tokenCountMap) {
-    if (this.clientName === EModelEndpoint.agents) {
-      return;
-    }
     if (this.currentMessages.length === 0) {
       return;
     }
@@ -352,38 +333,25 @@ class BaseClient {
    * If the token limit would be exceeded by adding a message, that message is not added to the context and remains in the original array.
    * The method uses `push` and `pop` operations for efficient array manipulation, and reverses the context array at the end to maintain the original order of the messages.
    *
-   * @param {Object} params
-   * @param {TMessage[]} params.messages - An array of messages, each with a `tokenCount` property. The messages should be ordered from oldest to newest.
-   * @param {number} [params.maxContextTokens] - The max number of tokens allowed in the context. If not provided, defaults to `this.maxContextTokens`.
-   * @param {{ role: 'system', content: text, tokenCount: number }} [params.instructions] - Instructions already added to the context at index 0.
-   * @returns {Promise<{
-   *  context: TMessage[],
-   *  remainingContextTokens: number,
-   *  messagesToRefine: TMessage[],
-   *  summaryIndex: number,
-   * }>} An object with four properties: `context`, `summaryIndex`, `remainingContextTokens`, and `messagesToRefine`.
+   * @param {Array} _messages - An array of messages, each with a `tokenCount` property. The messages should be ordered from oldest to newest.
+   * @param {number} [maxContextTokens] - The max number of tokens allowed in the context. If not provided, defaults to `this.maxContextTokens`.
+   * @returns {Object} An object with four properties: `context`, `summaryIndex`, `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 }) {
+  async getMessagesWithinTokenLimit(_messages, maxContextTokens) {
     // 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 =
-      (maxContextTokens ?? this.maxContextTokens) - instructionsTokenCount;
+    let summaryIndex = -1;
+    let remainingContextTokens = maxContextTokens ?? this.maxContextTokens;
     const messages = [..._messages];
 
     const context = [];
-
     if (currentTokenCount < remainingContextTokens) {
       while (messages.length > 0 && currentTokenCount < remainingContextTokens) {
-        if (messages.length === 1 && instructions) {
-          break;
-        }
         const poppedMessage = messages.pop();
         const { tokenCount } = poppedMessage;
 
@@ -397,11 +365,6 @@ class BaseClient {
       }
     }
 
-    if (instructions) {
-      context.push(_messages[0]);
-      messages.shift();
-    }
-
     const prunedMemory = messages;
     summaryIndex = prunedMemory.length - 1;
     remainingContextTokens -= currentTokenCount;
@@ -426,38 +389,12 @@ class BaseClient {
     if (instructions) {
       ({ tokenCount, ..._instructions } = instructions);
     }
-
     _instructions && logger.debug('[BaseClient] instructions tokenCount: ' + tokenCount);
-    if (tokenCount && tokenCount > this.maxContextTokens) {
-      const info = `${tokenCount} / ${this.maxContextTokens}`;
-      const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
-      logger.warn(`Instructions token count exceeds max token count (${info}).`);
-      throw new Error(errorMessage);
-    }
-
-    if (this.clientName === EModelEndpoint.agents) {
-      const { dbMessages, editedIndices } = truncateToolCallOutputs(
-        orderedMessages,
-        this.maxContextTokens,
-        this.getTokenCountForMessage.bind(this),
-      );
-
-      if (editedIndices.length > 0) {
-        logger.debug('[BaseClient] Truncated tool call outputs:', editedIndices);
-        for (const index of editedIndices) {
-          formattedMessages[index].content = dbMessages[index].content;
-        }
-        orderedMessages = dbMessages;
-      }
-    }
-
+    let payload = this.addInstructions(formattedMessages, _instructions);
     let orderedWithInstructions = this.addInstructions(orderedMessages, instructions);
 
     let { context, remainingContextTokens, messagesToRefine, summaryIndex } =
-      await this.getMessagesWithinTokenLimit({
-        messages: orderedWithInstructions,
-        instructions,
-      });
+      await this.getMessagesWithinTokenLimit(orderedWithInstructions);
 
     logger.debug('[BaseClient] Context Count (1/2)', {
       remainingContextTokens,
@@ -469,9 +406,7 @@ class BaseClient {
     let { shouldSummarize } = this;
 
     // Calculate the difference in length to determine how many messages were discarded if any
-    let payload;
-    let { length } = formattedMessages;
-    length += instructions != null ? 1 : 0;
+    const { length } = payload;
     const diff = length - context.length;
     const firstMessage = orderedWithInstructions[0];
     const usePrevSummary =
@@ -481,31 +416,18 @@ class BaseClient {
       this.previous_summary.messageId === firstMessage.messageId;
 
     if (diff > 0) {
-      payload = formattedMessages.slice(diff);
+      payload = payload.slice(diff);
       logger.debug(
         `[BaseClient] Difference between original payload (${length}) and context (${context.length}): ${diff}`,
       );
     }
 
-    payload = this.addInstructions(payload ?? formattedMessages, _instructions);
-
     const latestMessage = orderedWithInstructions[orderedWithInstructions.length - 1];
     if (payload.length === 0 && !shouldSummarize && latestMessage) {
       const info = `${latestMessage.tokenCount} / ${this.maxContextTokens}`;
       const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
       logger.warn(`Prompt token count exceeds max token count (${info}).`);
       throw new Error(errorMessage);
-    } else if (
-      _instructions &&
-      payload.length === 1 &&
-      payload[0].content === _instructions.content
-    ) {
-      const info = `${tokenCount + 3} / ${this.maxContextTokens}`;
-      const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
-      logger.warn(
-        `Including instructions, the prompt token count exceeds remaining max token count (${info}).`,
-      );
-      throw new Error(errorMessage);
     }
 
     if (usePrevSummary) {
@@ -586,7 +508,7 @@ class BaseClient {
           conversationId,
           parentMessageId: userMessage.messageId,
           isCreatedByUser: false,
-          model: this.modelOptions?.model ?? this.model,
+          model: this.modelOptions.model,
           sender: this.sender,
           text: generation,
         };
@@ -594,7 +516,6 @@ class BaseClient {
       } else {
         latestMessage.text = generation;
       }
-      this.continued = true;
     } else {
       this.currentMessages.push(userMessage);
     }
@@ -624,7 +545,6 @@ class BaseClient {
 
     if (!isEdited && !this.skipSaveUserMessage) {
       this.userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
-      this.savedMessageIds.add(userMessage.messageId);
       if (typeof opts?.getReqData === 'function') {
         opts.getReqData({
           userMessagePromise: this.userMessagePromise,
@@ -643,8 +563,8 @@ class BaseClient {
           user: this.user,
           tokenType: 'prompt',
           amount: promptTokens,
+          model: this.modelOptions.model,
           endpoint: this.options.endpoint,
-          model: this.modelOptions?.model ?? this.model,
           endpointTokenConfig: this.options.endpointTokenConfig,
         },
       });
@@ -654,7 +574,6 @@ class BaseClient {
     const completion = await this.sendCompletion(payload, opts);
     this.abortController.requestCompleted = true;
 
-    /** @type {TMessage} */
     const responseMessage = {
       messageId: responseMessageId,
       conversationId,
@@ -702,7 +621,7 @@ class BaseClient {
         await this.updateUserMessageTokenCount({ usage, tokenCountMap, userMessage, opts });
       } else {
         responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
-        completionTokens = responseMessage.tokenCount;
+        completionTokens = this.getTokenCount(completion);
       }
 
       await this.recordTokenUsage({ promptTokens, completionTokens, usage });
@@ -716,16 +635,16 @@ class BaseClient {
       responseMessage.attachments = (await Promise.all(this.artifactPromises)).filter((a) => a);
     }
 
-    if (this.options.attachments) {
-      try {
-        saveOptions.files = this.options.attachments.map((attachments) => attachments.file_id);
-      } catch (error) {
-        logger.error('[BaseClient] Error mapping attachments for conversation', error);
-      }
-    }
-
     this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
-    this.savedMessageIds.add(responseMessage.messageId);
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    messageCache.set(
+      responseMessageId,
+      {
+        text: responseMessage.text,
+        complete: true,
+      },
+      Time.FIVE_MINUTES,
+    );
     delete responseMessage.tokenCount;
     return responseMessage;
   }
@@ -983,9 +902,8 @@ class BaseClient {
     // Note: gpt-3.5-turbo and gpt-4 may update over time. Use default for these as well as for unknown models
     let tokensPerMessage = 3;
     let tokensPerName = 1;
-    const model = this.modelOptions?.model ?? this.model;
 
-    if (model === 'gpt-3.5-turbo-0301') {
+    if (this.modelOptions.model === 'gpt-3.5-turbo-0301') {
       tokensPerMessage = 4;
       tokensPerName = -1;
     }
@@ -997,24 +915,6 @@ class BaseClient {
             continue;
           }
 
-          if (item.type === 'tool_call' && item.tool_call != null) {
-            const toolName = item.tool_call?.name || '';
-            if (toolName != null && toolName && typeof toolName === 'string') {
-              numTokens += this.getTokenCount(toolName);
-            }
-
-            const args = item.tool_call?.args || '';
-            if (args != null && args && typeof args === 'string') {
-              numTokens += this.getTokenCount(args);
-            }
-
-            const output = item.tool_call?.output || '';
-            if (output != null && output && typeof output === 'string') {
-              numTokens += this.getTokenCount(output);
-            }
-            continue;
-          }
-
           const nestedValue = item[item.type];
 
           if (!nestedValue) {
@@ -1061,15 +961,6 @@ class BaseClient {
       return _messages;
     }
 
-    const seen = new Set();
-    const attachmentsProcessed =
-      this.options.attachments && !(this.options.attachments instanceof Promise);
-    if (attachmentsProcessed) {
-      for (const attachment of this.options.attachments) {
-        seen.add(attachment.file_id);
-      }
-    }
-
     /**
      *
      * @param {TMessage} message
@@ -1080,24 +971,12 @@ class BaseClient {
         this.message_file_map = {};
       }
 
-      const fileIds = [];
-      for (const file of message.files) {
-        if (seen.has(file.file_id)) {
-          continue;
-        }
-        fileIds.push(file.file_id);
-        seen.add(file.file_id);
-      }
-
-      if (fileIds.length === 0) {
-        return message;
-      }
-
+      const fileIds = message.files.map((file) => file.file_id);
       const files = await getFiles({
         file_id: { $in: fileIds },
       });
 
-      await this.addImageURLs(message, files, this.visionMode);
+      await this.addImageURLs(message, files);
 
       this.message_file_map[message.messageId] = files;
       return message;

api/app/clients/ChatGPTClient.js

@@ -13,6 +13,7 @@ const {
 const { extractBaseURL, constructAzureURL, genAzureChatCompletion } = require('~/utils');
 const { createContextHandlers } = require('./prompts');
 const { createCoherePayload } = require('./llm');
+const { Agent, ProxyAgent } = require('undici');
 const BaseClient = require('./BaseClient');
 const { logger } = require('~/config');
 
@@ -185,6 +186,10 @@ class ChatGPTClient extends BaseClient {
       headers: {
         'Content-Type': 'application/json',
       },
+      dispatcher: new Agent({
+        bodyTimeout: 0,
+        headersTimeout: 0,
+      }),
     };
 
     if (this.isVisionModel) {
@@ -222,16 +227,6 @@ class ChatGPTClient extends BaseClient {
       this.azure = !serverless && azureOptions;
       this.azureEndpoint =
         !serverless && genAzureChatCompletion(this.azure, modelOptions.model, this);
-      if (serverless === true) {
-        this.options.defaultQuery = azureOptions.azureOpenAIApiVersion
-          ? { 'api-version': azureOptions.azureOpenAIApiVersion }
-          : undefined;
-        this.options.headers['api-key'] = this.apiKey;
-      }
-    }
-
-    if (this.options.defaultQuery) {
-      opts.defaultQuery = this.options.defaultQuery;
     }
 
     if (this.options.headers) {
@@ -270,6 +265,10 @@ class ChatGPTClient extends BaseClient {
       opts.headers['X-Title'] = 'LibreChat';
     }
 
+    if (this.options.proxy) {
+      opts.dispatcher = new ProxyAgent(this.options.proxy);
+    }
+
     /* hacky fixes for Mistral AI API:
       - Re-orders system message to the top of the messages payload, as not allowed anywhere else
       - If there is only one message and it's a system message, change the role to user

api/app/clients/GoogleClient.js

@@ -1,25 +1,22 @@
 const { google } = require('googleapis');
-const { concat } = require('@langchain/core/utils/stream');
+const { Agent, ProxyAgent } = require('undici');
 const { ChatVertexAI } = require('@langchain/google-vertexai');
+const { GoogleVertexAI } = require('@langchain/google-vertexai');
+const { ChatGoogleVertexAI } = require('@langchain/google-vertexai');
 const { ChatGoogleGenerativeAI } = require('@langchain/google-genai');
 const { GoogleGenerativeAI: GenAI } = require('@google/generative-ai');
-const { HumanMessage, SystemMessage } = require('@langchain/core/messages');
+const { AIMessage, HumanMessage, SystemMessage } = require('@langchain/core/messages');
+const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
 const {
-  googleGenConfigSchema,
   validateVisionModel,
   getResponseSender,
   endpointSettings,
   EModelEndpoint,
-  ContentTypes,
   VisionModes,
-  ErrorTypes,
   Constants,
   AuthKeys,
 } = require('librechat-data-provider');
-const { getSafetySettings } = require('~/server/services/Endpoints/google/llm');
 const { encodeAndFormat } = require('~/server/services/Files/images');
-const Tokenizer = require('~/server/services/Tokenizer');
-const { spendTokens } = require('~/models/spendTokens');
 const { getModelMaxTokens } = require('~/utils');
 const { sleep } = require('~/server/utils');
 const { logger } = require('~/config');
@@ -33,10 +30,11 @@ const BaseClient = require('./BaseClient');
 
 const loc = process.env.GOOGLE_LOC || 'us-central1';
 const publisher = 'google';
-const endpointPrefix = `${loc}-aiplatform.googleapis.com`;
+const endpointPrefix = `https://${loc}-aiplatform.googleapis.com`;
+// const apiEndpoint = loc + '-aiplatform.googleapis.com';
+const tokenizersCache = {};
 
 const settings = endpointSettings[EModelEndpoint.google];
-const EXCLUDED_GENAI_MODELS = /gemini-(?:1\.0|1-0|pro)/;
 
 class GoogleClient extends BaseClient {
   constructor(credentials, options = {}) {
@@ -52,27 +50,13 @@ class GoogleClient extends BaseClient {
     const serviceKey = creds[AuthKeys.GOOGLE_SERVICE_KEY] ?? {};
     this.serviceKey =
       serviceKey && typeof serviceKey === 'string' ? JSON.parse(serviceKey) : serviceKey ?? {};
-    /** @type {string | null | undefined} */
-    this.project_id = this.serviceKey.project_id;
     this.client_email = this.serviceKey.client_email;
     this.private_key = this.serviceKey.private_key;
+    this.project_id = this.serviceKey.project_id;
     this.access_token = null;
 
     this.apiKey = creds[AuthKeys.GOOGLE_API_KEY];
 
-    this.reverseProxyUrl = options.reverseProxyUrl;
-
-    this.authHeader = options.authHeader;
-
-    /** @type {UsageMetadata | undefined} */
-    this.usage;
-    /** The key for the usage object's input tokens
-     * @type {string} */
-    this.inputTokensKey = 'input_tokens';
-    /** The key for the usage object's output tokens
-     * @type {string} */
-    this.outputTokensKey = 'output_tokens';
-    this.visionMode = VisionModes.generative;
     if (options.skipSetOptions) {
       return;
     }
@@ -81,7 +65,7 @@ class GoogleClient extends BaseClient {
 
   /* Google specific methods */
   constructUrl() {
-    return `https://${endpointPrefix}/v1/projects/${this.project_id}/locations/${loc}/publishers/${publisher}/models/${this.modelOptions.model}:serverStreamingPredict`;
+    return `${endpointPrefix}/v1/projects/${this.project_id}/locations/${loc}/publishers/${publisher}/models/${this.modelOptions.model}:serverStreamingPredict`;
   }
 
   async getClient() {
@@ -132,13 +116,22 @@ class GoogleClient extends BaseClient {
       this.options = options;
     }
 
+    this.options.examples = (this.options.examples ?? [])
+      .filter((ex) => ex)
+      .filter((obj) => obj.input.content !== '' && obj.output.content !== '');
+
     this.modelOptions = this.options.modelOptions || {};
 
     this.options.attachments?.then((attachments) => this.checkVisionRequest(attachments));
 
     /** @type {boolean} Whether using a "GenerativeAI" Model */
-    this.isGenerativeModel =
-      this.modelOptions.model.includes('gemini') || this.modelOptions.model.includes('learnlm');
+    this.isGenerativeModel = this.modelOptions.model.includes('gemini');
+    const { isGenerativeModel } = this;
+    this.isChatModel = !isGenerativeModel && this.modelOptions.model.includes('chat');
+    const { isChatModel } = this;
+    this.isTextModel =
+      !isGenerativeModel && !isChatModel && /code|text/.test(this.modelOptions.model);
+    const { isTextModel } = this;
 
     this.maxContextTokens =
       this.options.maxContextTokens ??
@@ -174,18 +167,50 @@ class GoogleClient extends BaseClient {
     this.userLabel = this.options.userLabel || 'User';
     this.modelLabel = this.options.modelLabel || 'Assistant';
 
+    if (isChatModel || isGenerativeModel) {
+      // Use these faux tokens to help the AI understand the context since we are building the chat log ourselves.
+      // Trying to use "<|im_start|>" causes the AI to still generate "<" or "<|" at the end sometimes for some reason,
+      // without tripping the stop sequences, so I'm using "||>" instead.
+      this.startToken = '||>';
+      this.endToken = '';
+      this.gptEncoder = this.constructor.getTokenizer('cl100k_base');
+    } else if (isTextModel) {
+      this.startToken = '||>';
+      this.endToken = '';
+      this.gptEncoder = this.constructor.getTokenizer('text-davinci-003', true, {
+        '<|im_start|>': 100264,
+        '<|im_end|>': 100265,
+      });
+    } else {
+      // Previously I was trying to use "<|endoftext|>" but there seems to be some bug with OpenAI's token counting
+      // system that causes only the first "<|endoftext|>" to be counted as 1 token, and the rest are not treated
+      // as a single token. So we're using this instead.
+      this.startToken = '||>';
+      this.endToken = '';
+      try {
+        this.gptEncoder = this.constructor.getTokenizer(this.modelOptions.model, true);
+      } catch {
+        this.gptEncoder = this.constructor.getTokenizer('text-davinci-003', true);
+      }
+    }
+
+    if (!this.modelOptions.stop) {
+      const stopTokens = [this.startToken];
+      if (this.endToken && this.endToken !== this.startToken) {
+        stopTokens.push(this.endToken);
+      }
+      stopTokens.push(`\n${this.userLabel}:`);
+      stopTokens.push('<|diff_marker|>');
+      // I chose not to do one for `modelLabel` because I've never seen it happen
+      this.modelOptions.stop = stopTokens;
+    }
+
     if (this.options.reverseProxyUrl) {
       this.completionsUrl = this.options.reverseProxyUrl;
     } else {
       this.completionsUrl = this.constructUrl();
     }
 
-    let promptPrefix = (this.options.promptPrefix ?? '').trim();
-    if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
-      promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
-    }
-    this.options.promptPrefix = promptPrefix;
-    this.initializeClient();
     return this;
   }
 
@@ -217,29 +242,10 @@ class GoogleClient extends BaseClient {
   }
 
   formatMessages() {
-    return ((message) => {
-      const msg = {
-        author: message?.author ?? (message.isCreatedByUser ? this.userLabel : this.modelLabel),
-        content: message?.content ?? message.text,
-      };
-
-      if (!message.image_urls?.length) {
-        return msg;
-      }
-
-      msg.content = (
-        !Array.isArray(msg.content)
-          ? [
-            {
-              type: ContentTypes.TEXT,
-              [ContentTypes.TEXT]: msg.content,
-            },
-          ]
-          : msg.content
-      ).concat(message.image_urls);
-
-      return msg;
-    }).bind(this);
+    return ((message) => ({
+      author: message?.author ?? (message.isCreatedByUser ? this.userLabel : this.modelLabel),
+      content: message?.content ?? message.text,
+    })).bind(this);
   }
 
   /**
@@ -337,6 +343,7 @@ class GoogleClient extends BaseClient {
           messages: [new HumanMessage(formatMessage({ message: latestMessage }))],
         },
       ],
+      parameters: this.modelOptions,
     };
     return { prompt: payload };
   }
@@ -352,58 +359,23 @@ class GoogleClient extends BaseClient {
     return { prompt: formattedMessages };
   }
 
-  /**
-   * @param {TMessage[]} [messages=[]]
-   * @param {string} [parentMessageId]
-   */
-  async buildMessages(_messages = [], parentMessageId) {
+  async buildMessages(messages = [], parentMessageId) {
     if (!this.isGenerativeModel && !this.project_id) {
-      throw new Error('[GoogleClient] PaLM 2 and Codey models are no longer supported.');
+      throw new Error(
+        '[GoogleClient] a Service Account JSON Key is required for PaLM 2 and Codey models (Vertex AI)',
+      );
     }
 
-    if (this.options.promptPrefix) {
-      const instructionsTokenCount = this.getTokenCount(this.options.promptPrefix);
-
-      this.maxContextTokens = this.maxContextTokens - instructionsTokenCount;
-      if (this.maxContextTokens < 0) {
-        const info = `${instructionsTokenCount} / ${this.maxContextTokens}`;
-        const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
-        logger.warn(`Instructions token count exceeds max context (${info}).`);
-        throw new Error(errorMessage);
-      }
-    }
-
-    for (let i = 0; i < _messages.length; i++) {
-      const message = _messages[i];
-      if (!message.tokenCount) {
-        _messages[i].tokenCount = this.getTokenCountForMessage({
-          role: message.isCreatedByUser ? 'user' : 'assistant',
-          content: message.content ?? message.text,
-        });
-      }
-    }
-
-    const {
-      payload: messages,
-      tokenCountMap,
-      promptTokens,
-    } = await this.handleContextStrategy({
-      orderedMessages: _messages,
-      formattedMessages: _messages,
-    });
-
-    if (!this.project_id && !EXCLUDED_GENAI_MODELS.test(this.modelOptions.model)) {
-      const result = await this.buildGenerativeMessages(messages);
-      result.tokenCountMap = tokenCountMap;
-      result.promptTokens = promptTokens;
-      return result;
+    if (!this.project_id && this.modelOptions.model.includes('1.5')) {
+      return await this.buildGenerativeMessages(messages);
     }
 
     if (this.options.attachments && this.isGenerativeModel) {
-      const result = this.buildVisionMessages(messages, parentMessageId);
-      result.tokenCountMap = tokenCountMap;
-      result.promptTokens = promptTokens;
-      return result;
+      return this.buildVisionMessages(messages, parentMessageId);
+    }
+
+    if (this.isTextModel) {
+      return this.buildMessagesPrompt(messages, parentMessageId);
     }
 
     let payload = {
@@ -415,14 +387,25 @@ class GoogleClient extends BaseClient {
             .map((message) => formatMessage({ message, langChain: true })),
         },
       ],
+      parameters: this.modelOptions,
     };
 
-    if (this.options.promptPrefix) {
-      payload.instances[0].context = this.options.promptPrefix;
+    let promptPrefix = (this.options.promptPrefix ?? '').trim();
+    if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
+      promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
+    }
+
+    if (promptPrefix) {
+      payload.instances[0].context = promptPrefix;
+    }
+
+    if (this.options.examples.length > 0) {
+      payload.instances[0].examples = this.options.examples;
     }
 
     logger.debug('[GoogleClient] buildMessages', payload);
-    return { prompt: payload, tokenCountMap, promptTokens };
+
+    return { prompt: payload };
   }
 
   async buildMessagesPrompt(messages, parentMessageId) {
@@ -436,7 +419,10 @@ class GoogleClient extends BaseClient {
       parentMessageId,
     });
 
-    const formattedMessages = orderedMessages.map(this.formatMessages());
+    const formattedMessages = orderedMessages.map((message) => ({
+      author: message.isCreatedByUser ? this.userLabel : this.modelLabel,
+      content: message?.content ?? message.text,
+    }));
 
     let lastAuthor = '';
     let groupedMessages = [];
@@ -465,6 +451,16 @@ class GoogleClient extends BaseClient {
     }
 
     let promptPrefix = (this.options.promptPrefix ?? '').trim();
+    if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
+      promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
+    }
+    if (promptPrefix) {
+      // If the prompt prefix doesn't end with the end token, add it.
+      if (!promptPrefix.endsWith(`${this.endToken}`)) {
+        promptPrefix = `${promptPrefix.trim()}${this.endToken}\n\n`;
+      }
+      promptPrefix = `\nContext:\n${promptPrefix}`;
+    }
 
     if (identityPrefix) {
       promptPrefix = `${identityPrefix}${promptPrefix}`;
@@ -501,7 +497,7 @@ class GoogleClient extends BaseClient {
           isCreatedByUser || !isEdited
             ? `\n\n${message.author}:`
             : `${promptPrefix}\n\n${message.author}:`;
-        const messageString = `${messagePrefix}\n${message.content}\n`;
+        const messageString = `${messagePrefix}\n${message.content}${this.endToken}\n`;
         let newPromptBody = `${messageString}${promptBody}`;
 
         context.unshift(message);
@@ -567,48 +563,71 @@ class GoogleClient extends BaseClient {
     return { prompt, context };
   }
 
+  async _getCompletion(payload, abortController = null) {
+    if (!abortController) {
+      abortController = new AbortController();
+    }
+    const { debug } = this.options;
+    const url = this.completionsUrl;
+    if (debug) {
+      logger.debug('GoogleClient _getCompletion', { url, payload });
+    }
+    const opts = {
+      method: 'POST',
+      agent: new Agent({
+        bodyTimeout: 0,
+        headersTimeout: 0,
+      }),
+      signal: abortController.signal,
+    };
+
+    if (this.options.proxy) {
+      opts.agent = new ProxyAgent(this.options.proxy);
+    }
+
+    const client = await this.getClient();
+    const res = await client.request({ url, method: 'POST', data: payload });
+    logger.debug('GoogleClient _getCompletion', { res });
+    return res.data;
+  }
+
   createLLM(clientOptions) {
     const model = clientOptions.modelName ?? clientOptions.model;
     clientOptions.location = loc;
-    clientOptions.endpoint = endpointPrefix;
-
-    let requestOptions = null;
-    if (this.reverseProxyUrl) {
-      requestOptions = {
-        baseUrl: this.reverseProxyUrl,
-      };
-
-      if (this.authHeader) {
-        requestOptions.customHeaders = {
-          Authorization: `Bearer ${this.apiKey}`,
-        };
-      }
-    }
-
-    if (this.project_id != null) {
+    clientOptions.endpoint = `${loc}-aiplatform.googleapis.com`;
+    if (this.project_id && this.isTextModel) {
+      logger.debug('Creating Google VertexAI client');
+      return new GoogleVertexAI(clientOptions);
+    } else if (this.project_id && this.isChatModel) {
+      logger.debug('Creating Chat Google VertexAI client');
+      return new ChatGoogleVertexAI(clientOptions);
+    } else if (this.project_id) {
       logger.debug('Creating VertexAI client');
-      this.visionMode = undefined;
-      clientOptions.streaming = true;
-      const client = new ChatVertexAI(clientOptions);
-      client.temperature = clientOptions.temperature;
-      client.topP = clientOptions.topP;
-      client.topK = clientOptions.topK;
-      client.topLogprobs = clientOptions.topLogprobs;
-      client.frequencyPenalty = clientOptions.frequencyPenalty;
-      client.presencePenalty = clientOptions.presencePenalty;
-      client.maxOutputTokens = clientOptions.maxOutputTokens;
-      return client;
-    } else if (!EXCLUDED_GENAI_MODELS.test(model)) {
+      return new ChatVertexAI(clientOptions);
+    } else if (model.includes('1.5')) {
       logger.debug('Creating GenAI client');
-      return new GenAI(this.apiKey).getGenerativeModel({ model }, requestOptions);
+      return new GenAI(this.apiKey).getGenerativeModel(
+        {
+          ...clientOptions,
+          model,
+        },
+        { apiVersion: 'v1beta' },
+      );
     }
 
     logger.debug('Creating Chat Google Generative AI client');
     return new ChatGoogleGenerativeAI({ ...clientOptions, apiKey: this.apiKey });
   }
 
-  initializeClient() {
-    let clientOptions = { ...this.modelOptions };
+  async getCompletion(_payload, options = {}) {
+    const { parameters, instances } = _payload;
+    const { onProgress, abortController } = options;
+    const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
+    const { messages: _messages, context, examples: _examples } = instances?.[0] ?? {};
+
+    let examples;
+
+    let clientOptions = { ...parameters, maxRetries: 2 };
 
     if (this.project_id) {
       clientOptions['authOptions'] = {
@@ -619,238 +638,185 @@ class GoogleClient extends BaseClient {
       };
     }
 
+    if (!parameters) {
+      clientOptions = { ...clientOptions, ...this.modelOptions };
+    }
+
     if (this.isGenerativeModel && !this.project_id) {
       clientOptions.modelName = clientOptions.model;
       delete clientOptions.model;
     }
 
-    this.client = this.createLLM(clientOptions);
-    return this.client;
-  }
+    if (_examples && _examples.length) {
+      examples = _examples
+        .map((ex) => {
+          const { input, output } = ex;
+          if (!input || !output) {
+            return undefined;
+          }
+          return {
+            input: new HumanMessage(input.content),
+            output: new AIMessage(output.content),
+          };
+        })
+        .filter((ex) => ex);
 
-  async getCompletion(_payload, options = {}) {
-    const { onProgress, abortController } = options;
-    const safetySettings = getSafetySettings(this.modelOptions.model);
-    const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
-    const modelName = this.modelOptions.modelName ?? this.modelOptions.model ?? '';
+      clientOptions.examples = examples;
+    }
+
+    const model = this.createLLM(clientOptions);
 
     let reply = '';
-    /** @type {Error} */
-    let error;
-    try {
-      if (!EXCLUDED_GENAI_MODELS.test(modelName) && !this.project_id) {
-        /** @type {GenAI} */
-        const client = this.client;
-        /** @type {GenerateContentRequest} */
-        const requestOptions = {
-          safetySettings,
-          contents: _payload,
-          generationConfig: googleGenConfigSchema.parse(this.modelOptions),
+    const messages = this.isTextModel ? _payload.trim() : _messages;
+
+    if (!this.isVisionModel && context && messages?.length > 0) {
+      messages.unshift(new SystemMessage(context));
+    }
+
+    const modelName = clientOptions.modelName ?? clientOptions.model ?? '';
+    if (modelName?.includes('1.5') && !this.project_id) {
+      const client = model;
+      const requestOptions = {
+        contents: _payload,
+      };
+
+      let promptPrefix = (this.options.promptPrefix ?? '').trim();
+      if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
+        promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
+      }
+
+      if (this.options?.promptPrefix?.length) {
+        requestOptions.systemInstruction = {
+          parts: [
+            {
+              text: promptPrefix,
+            },
+          ],
         };
-
-        const promptPrefix = (this.options.promptPrefix ?? '').trim();
-        if (promptPrefix.length) {
-          requestOptions.systemInstruction = {
-            parts: [
-              {
-                text: promptPrefix,
-              },
-            ],
-          };
-        }
-
-        const delay = modelName.includes('flash') ? 8 : 15;
-        /** @type {GenAIUsageMetadata} */
-        let usageMetadata;
-
-        const result = await client.generateContentStream(requestOptions);
-        for await (const chunk of result.stream) {
-          usageMetadata = !usageMetadata
-            ? chunk?.usageMetadata
-            : Object.assign(usageMetadata, chunk?.usageMetadata);
-          const chunkText = chunk.text();
-          await this.generateTextStream(chunkText, onProgress, {
-            delay,
-          });
-          reply += chunkText;
-          await sleep(streamRate);
-        }
-
-        if (usageMetadata) {
-          this.usage = {
-            input_tokens: usageMetadata.promptTokenCount,
-            output_tokens: usageMetadata.candidatesTokenCount,
-          };
-        }
-
-        return reply;
       }
 
-      const { instances } = _payload;
-      const { messages: messages, context } = instances?.[0] ?? {};
+      requestOptions.safetySettings = _payload.safetySettings;
 
-      if (!this.isVisionModel && context && messages?.length > 0) {
-        messages.unshift(new SystemMessage(context));
-      }
-
-      /** @type {import('@langchain/core/messages').AIMessageChunk['usage_metadata']} */
-      let usageMetadata;
-      /** @type {ChatVertexAI} */
-      const client = this.client;
-      const stream = await client.stream(messages, {
-        signal: abortController.signal,
-        streamUsage: true,
-        safetySettings,
-      });
-
-      let delay = this.options.streamRate || 8;
-
-      if (!this.options.streamRate) {
-        if (this.isGenerativeModel) {
-          delay = 15;
-        }
-        if (modelName.includes('flash')) {
-          delay = 5;
-        }
-      }
-
-      for await (const chunk of stream) {
-        if (chunk?.usage_metadata) {
-          const metadata = chunk.usage_metadata;
-          for (const key in metadata) {
-            if (Number.isNaN(metadata[key])) {
-              delete metadata[key];
-            }
-          }
-
-          usageMetadata = !usageMetadata ? metadata : concat(usageMetadata, metadata);
-        }
-
-        const chunkText = chunk?.content ?? '';
+      const delay = modelName.includes('flash') ? 8 : 14;
+      const result = await client.generateContentStream(requestOptions);
+      for await (const chunk of result.stream) {
+        const chunkText = chunk.text();
         await this.generateTextStream(chunkText, onProgress, {
           delay,
         });
         reply += chunkText;
+        await sleep(streamRate);
       }
-
-      if (usageMetadata) {
-        this.usage = usageMetadata;
-      }
-    } catch (e) {
-      error = e;
-      logger.error('[GoogleClient] There was an issue generating the completion', e);
+      return reply;
     }
 
-    if (error != null && reply === '') {
-      const errorMessage = `{ "type": "${ErrorTypes.GoogleError}", "info": "${
-        error.message ?? 'The Google provider failed to generate content, please contact the Admin.'
-      }" }`;
-      throw new Error(errorMessage);
+    const stream = await model.stream(messages, {
+      signal: abortController.signal,
+      timeout: 7000,
+      safetySettings: _payload.safetySettings,
+    });
+
+    let delay = this.options.streamRate || 8;
+
+    if (!this.options.streamRate) {
+      if (this.isGenerativeModel) {
+        delay = 12;
+      }
+      if (modelName.includes('flash')) {
+        delay = 5;
+      }
     }
+
+    for await (const chunk of stream) {
+      const chunkText = chunk?.content ?? chunk;
+      await this.generateTextStream(chunkText, onProgress, {
+        delay,
+      });
+      reply += chunkText;
+    }
+
     return reply;
   }
 
-  /**
-   * Get stream usage as returned by this client's API response.
-   * @returns {UsageMetadata} The stream usage object.
-   */
-  getStreamUsage() {
-    return this.usage;
-  }
-
-  /**
-   * Calculates the correct token count for the current user message based on the token count map and API usage.
-   * Edge case: If the calculation results in a negative value, it returns the original estimate.
-   * If revisiting a conversation with a chat history entirely composed of token estimates,
-   * the cumulative token count going forward should become more accurate as the conversation progresses.
-   * @param {Object} params - The parameters for the calculation.
-   * @param {Record<string, number>} params.tokenCountMap - A map of message IDs to their token counts.
-   * @param {string} params.currentMessageId - The ID of the current message to calculate.
-   * @param {UsageMetadata} params.usage - The usage object returned by the API.
-   * @returns {number} The correct token count for the current user message.
-   */
-  calculateCurrentTokenCount({ tokenCountMap, currentMessageId, usage }) {
-    const originalEstimate = tokenCountMap[currentMessageId] || 0;
-
-    if (!usage || typeof usage.input_tokens !== 'number') {
-      return originalEstimate;
-    }
-
-    tokenCountMap[currentMessageId] = 0;
-    const totalTokensFromMap = Object.values(tokenCountMap).reduce((sum, count) => {
-      const numCount = Number(count);
-      return sum + (isNaN(numCount) ? 0 : numCount);
-    }, 0);
-    const totalInputTokens = usage.input_tokens ?? 0;
-    const currentMessageTokens = totalInputTokens - totalTokensFromMap;
-    return currentMessageTokens > 0 ? currentMessageTokens : originalEstimate;
-  }
-
-  /**
-   * @param {object} params
-   * @param {number} params.promptTokens
-   * @param {number} params.completionTokens
-   * @param {UsageMetadata} [params.usage]
-   * @param {string} [params.model]
-   * @param {string} [params.context='message']
-   * @returns {Promise<void>}
-   */
-  async recordTokenUsage({ promptTokens, completionTokens, model, context = 'message' }) {
-    await spendTokens(
-      {
-        context,
-        user: this.user ?? this.options.req?.user?.id,
-        conversationId: this.conversationId,
-        model: model ?? this.modelOptions.model,
-        endpointTokenConfig: this.options.endpointTokenConfig,
-      },
-      { promptTokens, completionTokens },
-    );
-  }
-
   /**
    * Stripped-down logic for generating a title. This uses the non-streaming APIs, since the user does not see titles streaming
    */
   async titleChatCompletion(_payload, options = {}) {
-    let reply = '';
     const { abortController } = options;
+    const { parameters, instances } = _payload;
+    const { messages: _messages, examples: _examples } = instances?.[0] ?? {};
 
-    const model = 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');
+    let clientOptions = { ...parameters, maxRetries: 2 };
+
+    logger.debug('Initialized title client options');
+
+    if (this.project_id) {
+      clientOptions['authOptions'] = {
+        credentials: {
+          ...this.serviceKey,
+        },
+        projectId: this.project_id,
+      };
+    }
+
+    if (!parameters) {
+      clientOptions = { ...clientOptions, ...this.modelOptions };
+    }
+
+    if (this.isGenerativeModel && !this.project_id) {
+      clientOptions.modelName = clientOptions.model;
+      delete clientOptions.model;
+    }
+
+    const model = this.createLLM(clientOptions);
+
+    let reply = '';
+    const messages = this.isTextModel ? _payload.trim() : _messages;
+
+    const modelName = clientOptions.modelName ?? clientOptions.model ?? '';
+    if (modelName?.includes('1.5') && !this.project_id) {
+      logger.debug('Identified titling model as 1.5 version');
       /** @type {GenerativeModel} */
-      const client = this.client;
+      const client = model;
       const requestOptions = {
         contents: _payload,
-        safetySettings,
-        generationConfig: {
-          temperature: 0.5,
-        },
       };
 
-      const result = await client.generateContent(requestOptions);
-      reply = result.response?.text();
-      return reply;
-    } else {
-      const { instances } = _payload;
-      const { messages } = instances?.[0] ?? {};
-      const titleResponse = await this.client.invoke(messages, {
-        signal: abortController.signal,
-        timeout: 7000,
-        safetySettings,
-      });
-
-      if (titleResponse.usage_metadata) {
-        await this.recordTokenUsage({
-          model,
-          promptTokens: titleResponse.usage_metadata.input_tokens,
-          completionTokens: titleResponse.usage_metadata.output_tokens,
-          context: 'title',
-        });
+      let promptPrefix = (this.options.promptPrefix ?? '').trim();
+      if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
+        promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
       }
 
+      if (this.options?.promptPrefix?.length) {
+        requestOptions.systemInstruction = {
+          parts: [
+            {
+              text: promptPrefix,
+            },
+          ],
+        };
+      }
+
+      const safetySettings = _payload.safetySettings;
+      requestOptions.safetySettings = safetySettings;
+
+      const result = await client.generateContent(requestOptions);
+
+      reply = result.response?.text();
+
+      return reply;
+    } else {
+      logger.debug('Beginning titling');
+      const safetySettings = _payload.safetySettings;
+
+      const titleResponse = await model.invoke(messages, {
+        signal: abortController.signal,
+        timeout: 7000,
+        safetySettings: safetySettings,
+      });
+
       reply = titleResponse.content;
+      // TODO: RECORD TOKEN USAGE
       return reply;
     }
   }
@@ -874,8 +840,15 @@ class GoogleClient extends BaseClient {
       },
     ]);
 
+    if (this.isVisionModel) {
+      logger.warn(
+        `Current vision model does not support titling without an attachment; falling back to default model ${settings.model.default}`,
+      );
+
+      payload.parameters = { ...payload.parameters, model: settings.model.default };
+    }
+
     try {
-      this.initializeClient();
       title = await this.titleChatCompletion(payload, {
         abortController: new AbortController(),
         onProgress: () => {},
@@ -889,10 +862,8 @@ class GoogleClient extends BaseClient {
 
   getSaveOptions() {
     return {
-      endpointType: null,
       artifacts: this.options.artifacts,
       promptPrefix: this.options.promptPrefix,
-      maxContextTokens: this.options.maxContextTokens,
       modelLabel: this.options.modelLabel,
       iconURL: this.options.iconURL,
       greeting: this.options.greeting,
@@ -906,39 +877,53 @@ class GoogleClient extends BaseClient {
   }
 
   async sendCompletion(payload, opts = {}) {
+    payload.safetySettings = this.getSafetySettings();
+
     let reply = '';
     reply = await this.getCompletion(payload, opts);
     return reply.trim();
   }
 
-  getEncoding() {
-    return 'cl100k_base';
-  }
-
-  async getVertexTokenCount(text) {
-    /** @type {ChatVertexAI} */
-    const client = this.client ?? this.initializeClient();
-    const connection = client.connection;
-    const gAuthClient = connection.client;
-    const tokenEndpoint = `https://${connection._endpoint}/${connection.apiVersion}/projects/${this.project_id}/locations/${connection._location}/publishers/google/models/${connection.model}/:countTokens`;
-    const result = await gAuthClient.request({
-      url: tokenEndpoint,
-      method: 'POST',
-      data: {
-        contents: [{ role: 'user', parts: [{ text }] }],
+  getSafetySettings() {
+    return [
+      {
+        category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
+        threshold:
+          process.env.GOOGLE_SAFETY_SEXUALLY_EXPLICIT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
       },
-    });
-    return result;
+      {
+        category: 'HARM_CATEGORY_HATE_SPEECH',
+        threshold: process.env.GOOGLE_SAFETY_HATE_SPEECH || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+      },
+      {
+        category: 'HARM_CATEGORY_HARASSMENT',
+        threshold: process.env.GOOGLE_SAFETY_HARASSMENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+      },
+      {
+        category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
+        threshold:
+          process.env.GOOGLE_SAFETY_DANGEROUS_CONTENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+      },
+    ];
+  }
+
+  /* TO-DO: Handle tokens with Google tokenization NOTE: these are required */
+  static getTokenizer(encoding, isModelName = false, extendSpecialTokens = {}) {
+    if (tokenizersCache[encoding]) {
+      return tokenizersCache[encoding];
+    }
+    let tokenizer;
+    if (isModelName) {
+      tokenizer = encodingForModel(encoding, extendSpecialTokens);
+    } else {
+      tokenizer = getEncoding(encoding, extendSpecialTokens);
+    }
+    tokenizersCache[encoding] = tokenizer;
+    return tokenizer;
   }
 
-  /**
-   * Returns the token count of a given text. It also checks and resets the tokenizers if necessary.
-   * @param {string} text - The text to get the token count for.
-   * @returns {number} The token count of the given text.
-   */
   getTokenCount(text) {
-    const encoding = this.getEncoding();
-    return Tokenizer.getTokenCount(text, encoding);
+    return this.gptEncoder.encode(text, 'all').length;
   }
 }
 

api/app/clients/OpenAIClient.js

@@ -1,7 +1,6 @@
 const OpenAI = require('openai');
 const { OllamaClient } = require('./OllamaClient');
 const { HttpsProxyAgent } = require('https-proxy-agent');
-const { SplitStreamHandler, GraphEvents } = require('@librechat/agents');
 const {
   Constants,
   ImageDetail,
@@ -14,6 +13,7 @@ const {
   validateVisionModel,
   mapModelToAzureConfig,
 } = require('librechat-data-provider');
+const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
 const {
   extractBaseURL,
   constructAzureURL,
@@ -29,17 +29,21 @@ const {
   createContextHandlers,
 } = require('./prompts');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
-const { addSpaceIfNeeded, isEnabled, sleep } = require('~/server/utils');
-const Tokenizer = require('~/server/services/Tokenizer');
 const { spendTokens } = require('~/models/spendTokens');
+const { isEnabled, sleep } = require('~/server/utils');
 const { handleOpenAIErrors } = require('./tools/util');
 const { createLLM, RunManager } = require('./llm');
-const { logger, sendEvent } = require('~/config');
 const ChatGPTClient = require('./ChatGPTClient');
 const { summaryBuffer } = require('./memory');
 const { runTitleChain } = require('./chains');
 const { tokenSplit } = require('./document');
 const BaseClient = require('./BaseClient');
+const { logger } = require('~/config');
+
+// Cache to store Tiktoken instances
+const tokenizersCache = {};
+// Counter for keeping track of the number of tokenizer calls
+let tokenizerCallsCount = 0;
 
 class OpenAIClient extends BaseClient {
   constructor(apiKey, options = {}) {
@@ -65,9 +69,7 @@ class OpenAIClient extends BaseClient {
     /** @type {OpenAIUsageMetadata | undefined} */
     this.usage;
     /** @type {boolean|undefined} */
-    this.isOmni;
-    /** @type {SplitStreamHandler | undefined} */
-    this.streamHandler;
+    this.isO1Model;
   }
 
   // TODO: PluginsClient calls this 3x, unneeded
@@ -105,8 +107,7 @@ class OpenAIClient extends BaseClient {
       this.checkVisionRequest(this.options.attachments);
     }
 
-    const omniPattern = /\b(o1|o3)\b/i;
-    this.isOmni = omniPattern.test(this.modelOptions.model);
+    this.isO1Model = /\bo1\b/i.test(this.modelOptions.model);
 
     const { OPENROUTER_API_KEY, OPENAI_FORCE_PROMPT } = process.env ?? {};
     if (OPENROUTER_API_KEY && !this.azure) {
@@ -146,7 +147,7 @@ class OpenAIClient extends BaseClient {
     const { model } = this.modelOptions;
 
     this.isChatCompletion =
-      omniPattern.test(model) || model.includes('gpt') || this.useOpenRouter || !!reverseProxy;
+      /\bo1\b/i.test(model) || model.includes('gpt') || this.useOpenRouter || !!reverseProxy;
     this.isChatGptModel = this.isChatCompletion;
     if (
       model.includes('text-davinci') ||
@@ -305,8 +306,75 @@ class OpenAIClient extends BaseClient {
     }
   }
 
-  getEncoding() {
-    return this.model?.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
+  // Selects an appropriate tokenizer based on the current configuration of the client instance.
+  // It takes into account factors such as whether it's a chat completion, an unofficial chat GPT model, etc.
+  selectTokenizer() {
+    let tokenizer;
+    this.encoding = 'text-davinci-003';
+    if (this.isChatCompletion) {
+      this.encoding = this.modelOptions.model.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
+      tokenizer = this.constructor.getTokenizer(this.encoding);
+    } else if (this.isUnofficialChatGptModel) {
+      const extendSpecialTokens = {
+        '<|im_start|>': 100264,
+        '<|im_end|>': 100265,
+      };
+      tokenizer = this.constructor.getTokenizer(this.encoding, true, extendSpecialTokens);
+    } else {
+      try {
+        const { model } = this.modelOptions;
+        this.encoding = model.includes('instruct') ? 'text-davinci-003' : model;
+        tokenizer = this.constructor.getTokenizer(this.encoding, true);
+      } catch {
+        tokenizer = this.constructor.getTokenizer('text-davinci-003', true);
+      }
+    }
+
+    return tokenizer;
+  }
+
+  // Retrieves a tokenizer either from the cache or creates a new one if one doesn't exist in the cache.
+  // If a tokenizer is being created, it's also added to the cache.
+  static getTokenizer(encoding, isModelName = false, extendSpecialTokens = {}) {
+    let tokenizer;
+    if (tokenizersCache[encoding]) {
+      tokenizer = tokenizersCache[encoding];
+    } else {
+      if (isModelName) {
+        tokenizer = encodingForModel(encoding, extendSpecialTokens);
+      } else {
+        tokenizer = getEncoding(encoding, extendSpecialTokens);
+      }
+      tokenizersCache[encoding] = tokenizer;
+    }
+    return tokenizer;
+  }
+
+  // Frees all encoders in the cache and resets the count.
+  static freeAndResetAllEncoders() {
+    try {
+      Object.keys(tokenizersCache).forEach((key) => {
+        if (tokenizersCache[key]) {
+          tokenizersCache[key].free();
+          delete tokenizersCache[key];
+        }
+      });
+      // Reset count
+      tokenizerCallsCount = 1;
+    } catch (error) {
+      logger.error('[OpenAIClient] Free and reset encoders error', error);
+    }
+  }
+
+  // Checks if the cache of tokenizers has reached a certain size. If it has, it frees and resets all tokenizers.
+  resetTokenizersIfNecessary() {
+    if (tokenizerCallsCount >= 25) {
+      if (this.options.debug) {
+        logger.debug('[OpenAIClient] freeAndResetAllEncoders: reached 25 encodings, resetting...');
+      }
+      this.constructor.freeAndResetAllEncoders();
+    }
+    tokenizerCallsCount++;
   }
 
   /**
@@ -315,8 +383,15 @@ class OpenAIClient extends BaseClient {
    * @returns {number} The token count of the given text.
    */
   getTokenCount(text) {
-    const encoding = this.getEncoding();
-    return Tokenizer.getTokenCount(text, encoding);
+    this.resetTokenizersIfNecessary();
+    try {
+      const tokenizer = this.selectTokenizer();
+      return tokenizer.encode(text, 'all').length;
+    } catch (error) {
+      this.constructor.freeAndResetAllEncoders();
+      const tokenizer = this.selectTokenizer();
+      return tokenizer.encode(text, 'all').length;
+    }
   }
 
   /**
@@ -348,7 +423,6 @@ class OpenAIClient extends BaseClient {
       promptPrefix: this.options.promptPrefix,
       resendFiles: this.options.resendFiles,
       imageDetail: this.options.imageDetail,
-      modelLabel: this.options.modelLabel,
       iconURL: this.options.iconURL,
       greeting: this.options.greeting,
       spec: this.options.spec,
@@ -475,7 +549,7 @@ class OpenAIClient extends BaseClient {
       promptPrefix = this.augmentedPrompt + promptPrefix;
     }
 
-    if (promptPrefix && this.isOmni !== true) {
+    if (promptPrefix && this.isO1Model !== true) {
       promptPrefix = `Instructions:\n${promptPrefix.trim()}`;
       instructions = {
         role: 'system',
@@ -503,7 +577,7 @@ class OpenAIClient extends BaseClient {
     };
 
     /** EXPERIMENTAL */
-    if (promptPrefix && this.isOmni === true) {
+    if (promptPrefix && this.isO1Model === true) {
       const lastUserMessageIndex = payload.findLastIndex((message) => message.role === 'user');
       if (lastUserMessageIndex !== -1) {
         payload[
@@ -614,9 +688,11 @@ class OpenAIClient extends BaseClient {
   }
 
   initializeLLM({
-    model = 'gpt-4o-mini',
+    model = 'gpt-3.5-turbo',
     modelName,
     temperature = 0.2,
+    presence_penalty = 0,
+    frequency_penalty = 0,
     max_tokens,
     streaming,
     context,
@@ -627,6 +703,8 @@ class OpenAIClient extends BaseClient {
     const modelOptions = {
       modelName: modelName ?? model,
       temperature,
+      presence_penalty,
+      frequency_penalty,
       user: this.user,
     };
 
@@ -715,7 +793,7 @@ 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 ?? 'gpt-3.5-turbo';
     if (model === Constants.CURRENT_MODEL) {
       model = this.modelOptions.model;
     }
@@ -760,12 +838,6 @@ class OpenAIClient extends BaseClient {
       this.options.dropParams = azureConfig.groupMap[groupName].dropParams;
       this.options.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
       this.azure = !serverless && azureOptions;
-      if (serverless === true) {
-        this.options.defaultQuery = azureOptions.azureOpenAIApiVersion
-          ? { 'api-version': azureOptions.azureOpenAIApiVersion }
-          : undefined;
-        this.options.headers['api-key'] = this.apiKey;
-      }
     }
 
     const titleChatCompletion = async () => {
@@ -797,11 +869,7 @@ ${convo}
         }
 
         title = (
-          await this.sendPayload(instructionsPayload, {
-            modelOptions,
-            useChatCompletion,
-            context: 'title',
-          })
+          await this.sendPayload(instructionsPayload, { modelOptions, useChatCompletion })
         ).replaceAll('"', '');
 
         const completionTokens = this.getTokenCount(title);
@@ -908,7 +976,7 @@ ${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 = 'gpt-3.5-turbo' } = process.env ?? {};
     let model = this.options.summaryModel ?? OPENAI_SUMMARY_MODEL;
     if (model === Constants.CURRENT_MODEL) {
       model = this.modelOptions.model;
@@ -934,10 +1002,7 @@ ${convo}
     );
 
     if (excessTokenCount > maxContextTokens) {
-      ({ context } = await this.getMessagesWithinTokenLimit({
-        messages: context,
-        maxContextTokens,
-      }));
+      ({ context } = await this.getMessagesWithinTokenLimit(context, maxContextTokens));
     }
 
     if (context.length === 0) {
@@ -1067,36 +1132,10 @@ ${convo}
     });
   }
 
-  getStreamText() {
-    if (!this.streamHandler) {
-      return '';
-    }
-
-    const reasoningTokens =
-      this.streamHandler.reasoningTokens.length > 0
-        ? `:::thinking\n${this.streamHandler.reasoningTokens.join('')}\n:::\n`
-        : '';
-
-    return `${reasoningTokens}${this.streamHandler.tokens.join('')}`;
-  }
-
-  getMessageMapMethod() {
-    /**
-     * @param {TMessage} msg
-     */
-    return (msg) => {
-      if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
-        msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
-      }
-
-      return msg;
-    };
-  }
-
   async chatCompletion({ payload, onProgress, abortController = null }) {
     let error = null;
-    let intermediateReply = [];
     const errorCallback = (err) => (error = err);
+    const intermediateReply = [];
     try {
       if (!abortController) {
         abortController = new AbortController();
@@ -1130,10 +1169,6 @@ ${convo}
         opts.defaultHeaders = { ...opts.defaultHeaders, ...this.options.headers };
       }
 
-      if (this.options.defaultQuery) {
-        opts.defaultQuery = this.options.defaultQuery;
-      }
-
       if (this.options.proxy) {
         opts.httpAgent = new HttpsProxyAgent(this.options.proxy);
       }
@@ -1172,12 +1207,6 @@ ${convo}
         this.azure = !serverless && azureOptions;
         this.azureEndpoint =
           !serverless && genAzureChatCompletion(this.azure, modelOptions.model, this);
-        if (serverless === true) {
-          this.options.defaultQuery = azureOptions.azureOpenAIApiVersion
-            ? { 'api-version': azureOptions.azureOpenAIApiVersion }
-            : undefined;
-          this.options.headers['api-key'] = this.apiKey;
-        }
       }
 
       if (this.azure || this.options.azure) {
@@ -1200,7 +1229,7 @@ ${convo}
         opts.defaultHeaders = { ...opts.defaultHeaders, 'api-key': this.apiKey };
       }
 
-      if (this.isOmni === true && modelOptions.max_tokens != null) {
+      if (this.isO1Model === true && modelOptions.max_tokens != null) {
         modelOptions.max_completion_tokens = modelOptions.max_tokens;
         delete modelOptions.max_tokens;
       }
@@ -1279,37 +1308,6 @@ ${convo}
       /** @type {(value: void | PromiseLike<void>) => void} */
       let streamResolve;
 
-      if (
-        this.isOmni === true &&
-        (this.azure || /o1(?!-(?:mini|preview)).*$/.test(modelOptions.model)) &&
-        !/o3-.*$/.test(this.modelOptions.model) &&
-        modelOptions.stream
-      ) {
-        delete modelOptions.stream;
-        delete modelOptions.stop;
-      } else if (!this.isOmni && modelOptions.reasoning_effort != null) {
-        delete modelOptions.reasoning_effort;
-      }
-
-      let reasoningKey = 'reasoning_content';
-      if (this.useOpenRouter) {
-        modelOptions.include_reasoning = true;
-        reasoningKey = 'reasoning';
-      }
-
-      this.streamHandler = new SplitStreamHandler({
-        reasoningKey,
-        accumulate: true,
-        runId: this.responseMessageId,
-        handlers: {
-          [GraphEvents.ON_RUN_STEP]: (event) => sendEvent(this.options.res, event),
-          [GraphEvents.ON_MESSAGE_DELTA]: (event) => sendEvent(this.options.res, event),
-          [GraphEvents.ON_REASONING_DELTA]: (event) => sendEvent(this.options.res, event),
-        },
-      });
-
-      intermediateReply = this.streamHandler.tokens;
-
       if (modelOptions.stream) {
         streamPromise = new Promise((resolve) => {
           streamResolve = resolve;
@@ -1336,44 +1334,20 @@ ${convo}
             }
 
             if (typeof finalMessage.content !== 'string' || finalMessage.content.trim() === '') {
-              finalChatCompletion.choices[0].message.content = this.streamHandler.tokens.join('');
+              finalChatCompletion.choices[0].message.content = intermediateReply.join('');
             }
           })
           .on('finalMessage', (message) => {
             if (message?.role !== 'assistant') {
-              stream.messages.push({
-                role: 'assistant',
-                content: this.streamHandler.tokens.join(''),
-              });
+              stream.messages.push({ role: 'assistant', content: intermediateReply.join('') });
               UnexpectedRoleError = true;
             }
           });
 
-        if (this.continued === true) {
-          const latestText = addSpaceIfNeeded(
-            this.currentMessages[this.currentMessages.length - 1]?.text ?? '',
-          );
-          this.streamHandler.handle({
-            choices: [
-              {
-                delta: {
-                  content: latestText,
-                },
-              },
-            ],
-          });
-        }
-
         for await (const chunk of stream) {
-          // Add finish_reason: null if missing in any choice
-          if (chunk.choices) {
-            chunk.choices.forEach((choice) => {
-              if (!('finish_reason' in choice)) {
-                choice.finish_reason = null;
-              }
-            });
-          }
-          this.streamHandler.handle(chunk);
+          const token = chunk.choices[0]?.delta?.content || '';
+          intermediateReply.push(token);
+          onProgress(token);
           if (abortController.signal.aborted) {
             stream.controller.abort();
             break;
@@ -1416,7 +1390,7 @@ ${convo}
 
       if (!Array.isArray(choices) || choices.length === 0) {
         logger.warn('[OpenAIClient] Chat completion response has no choices');
-        return this.streamHandler.tokens.join('');
+        return intermediateReply.join('');
       }
 
       const { message, finish_reason } = choices[0] ?? {};
@@ -1426,11 +1400,11 @@ ${convo}
 
       if (!message) {
         logger.warn('[OpenAIClient] Message is undefined in chatCompletion response');
-        return this.streamHandler.tokens.join('');
+        return intermediateReply.join('');
       }
 
       if (typeof message.content !== 'string' || message.content.trim() === '') {
-        const reply = this.streamHandler.tokens.join('');
+        const reply = intermediateReply.join('');
         logger.debug(
           '[OpenAIClient] chatCompletion: using intermediateReply due to empty message.content',
           { intermediateReply: reply },
@@ -1438,20 +1412,6 @@ ${convo}
         return reply;
       }
 
-      if (
-        this.streamHandler.reasoningTokens.length > 0 &&
-        this.options.context !== 'title' &&
-        !message.content.startsWith('<think>')
-      ) {
-        return this.getStreamText();
-      } else if (
-        this.streamHandler.reasoningTokens.length > 0 &&
-        this.options.context !== 'title' &&
-        message.content.startsWith('<think>')
-      ) {
-        return message.content.replace('<think>', ':::thinking').replace('</think>', ':::');
-      }
-
       return message.content;
     } catch (err) {
       if (
@@ -1473,11 +1433,7 @@ ${convo}
         (err instanceof OpenAI.OpenAIError && err?.message?.includes('missing finish_reason'))
       ) {
         logger.error('[OpenAIClient] Known OpenAI error:', err);
-        if (intermediateReply.length > 0) {
-          return intermediateReply.join('');
-        } else {
-          throw err;
-        }
+        return intermediateReply.join('');
       } else if (err instanceof OpenAI.APIError) {
         if (intermediateReply.length > 0) {
           return intermediateReply.join('');

api/app/clients/PluginsClient.js

@@ -1,4 +1,5 @@
 const OpenAIClient = require('./OpenAIClient');
+const { CacheKeys, Time } = require('librechat-data-provider');
 const { CallbackManager } = require('@langchain/core/callbacks/manager');
 const { BufferMemory, ChatMessageHistory } = require('langchain/memory');
 const { addImages, buildErrorInput, buildPromptPrefix } = require('./output_parsers');
@@ -10,6 +11,7 @@ const checkBalance = require('~/models/checkBalance');
 const { isEnabled } = require('~/server/utils');
 const { extractBaseURL } = require('~/utils');
 const { loadTools } = require('./tools/util');
+const { getLogStores } = require('~/cache');
 const { logger } = require('~/config');
 
 class PluginsClient extends OpenAIClient {
@@ -41,7 +43,6 @@ class PluginsClient extends OpenAIClient {
     return {
       artifacts: this.options.artifacts,
       chatGptLabel: this.options.chatGptLabel,
-      modelLabel: this.options.modelLabel,
       promptPrefix: this.options.promptPrefix,
       tools: this.options.tools,
       ...this.modelOptions,
@@ -104,7 +105,7 @@ class PluginsClient extends OpenAIClient {
       chatHistory: new ChatMessageHistory(pastMessages),
     });
 
-    const { loadedTools } = await loadTools({
+    this.tools = await loadTools({
       user,
       model,
       tools: this.options.tools,
@@ -118,15 +119,12 @@ class PluginsClient extends OpenAIClient {
         processFileURL,
         message,
       },
-      useSpecs: true,
     });
 
-    if (loadedTools.length === 0) {
+    if (this.tools.length === 0) {
       return;
     }
 
-    this.tools = loadedTools;
-
     logger.debug('[PluginsClient] Requested Tools', this.options.tools);
     logger.debug(
       '[PluginsClient] Loaded Tools',
@@ -254,6 +252,15 @@ class PluginsClient extends OpenAIClient {
     }
 
     this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    messageCache.set(
+      responseMessage.messageId,
+      {
+        text: responseMessage.text,
+        complete: true,
+      },
+      Time.FIVE_MINUTES,
+    );
     delete responseMessage.tokenCount;
     return { ...responseMessage, ...result };
   }
@@ -280,6 +287,7 @@ class PluginsClient extends OpenAIClient {
     logger.debug('[PluginsClient] sendMessage', { userMessageText: message, opts });
     const {
       user,
+      isEdited,
       conversationId,
       responseMessageId,
       saveOptions,
@@ -358,6 +366,7 @@ class PluginsClient extends OpenAIClient {
       conversationId,
       parentMessageId: userMessage.messageId,
       isCreatedByUser: false,
+      isEdited,
       model: this.modelOptions.model,
       sender: this.sender,
       promptTokens,

api/app/clients/llm/createLLM.js

@@ -17,7 +17,7 @@ const { isEnabled } = require('~/server/utils');
  *
  * @example
  * const llm = createLLM({
- *   modelOptions: { modelName: 'gpt-4o-mini', temperature: 0.2 },
+ *   modelOptions: { modelName: 'gpt-3.5-turbo', temperature: 0.2 },
  *   configOptions: { basePath: 'https://example.api/path' },
  *   callbacks: { onMessage: handleMessage },
  *   openAIApiKey: 'your-api-key'

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

@@ -3,7 +3,7 @@ const { ChatOpenAI } = require('@langchain/openai');
 const { getBufferString, ConversationSummaryBufferMemory } = require('langchain/memory');
 
 const chatPromptMemory = new ConversationSummaryBufferMemory({
-  llm: new ChatOpenAI({ modelName: 'gpt-4o-mini', temperature: 0 }),
+  llm: new ChatOpenAI({ modelName: 'gpt-3.5-turbo', temperature: 0 }),
   maxTokenLimit: 10,
   returnMessages: true,
 });

api/app/clients/prompts/formatMessages.js

@@ -204,7 +204,7 @@ const formatAgentMessages = (payload) => {
           new ToolMessage({
             tool_call_id: tool_call.id,
             name: tool_call.name,
-            content: output || '',
+            content: output,
           }),
         );
       } else {

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

@@ -60,6 +60,7 @@ describe('formatMessage', () => {
         error: false,
         finish_reason: null,
         isCreatedByUser: true,
+        isEdited: false,
         model: null,
         parentMessageId: Constants.NO_PARENT,
         sender: 'User',

api/app/clients/prompts/index.js

@@ -4,7 +4,7 @@ const summaryPrompts = require('./summaryPrompts');
 const handleInputs = require('./handleInputs');
 const instructions = require('./instructions');
 const titlePrompts = require('./titlePrompts');
-const truncate = require('./truncate');
+const truncateText = require('./truncateText');
 const createVisionPrompt = require('./createVisionPrompt');
 const createContextHandlers = require('./createContextHandlers');
 
@@ -15,7 +15,7 @@ module.exports = {
   ...handleInputs,
   ...instructions,
   ...titlePrompts,
-  ...truncate,
+  ...truncateText,
   createVisionPrompt,
   createContextHandlers,
 };

api/app/clients/prompts/truncate.js

@@ -1,115 +0,0 @@
-const MAX_CHAR = 255;
-
-/**
- * Truncates a given text to a specified maximum length, appending ellipsis and a notification
- * if the original text exceeds the maximum length.
- *
- * @param {string} text - The text to be truncated.
- * @param {number} [maxLength=MAX_CHAR] - The maximum length of the text after truncation. Defaults to MAX_CHAR.
- * @returns {string} The truncated text if the original text length exceeds maxLength, otherwise returns the original text.
- */
-function truncateText(text, maxLength = MAX_CHAR) {
-  if (text.length > maxLength) {
-    return `${text.slice(0, maxLength)}... [text truncated for brevity]`;
-  }
-  return text;
-}
-
-/**
- * Truncates a given text to a specified maximum length by showing the first half and the last half of the text,
- * separated by ellipsis. This method ensures the output does not exceed the maximum length, including the addition
- * of ellipsis and notification if the original text exceeds the maximum length.
- *
- * @param {string} text - The text to be truncated.
- * @param {number} [maxLength=MAX_CHAR] - The maximum length of the output text after truncation. Defaults to MAX_CHAR.
- * @returns {string} The truncated text showing the first half and the last half, or the original text if it does not exceed maxLength.
- */
-function smartTruncateText(text, maxLength = MAX_CHAR) {
-  const ellipsis = '...';
-  const notification = ' [text truncated for brevity]';
-  const halfMaxLength = Math.floor((maxLength - ellipsis.length - notification.length) / 2);
-
-  if (text.length > maxLength) {
-    const startLastHalf = text.length - halfMaxLength;
-    return `${text.slice(0, halfMaxLength)}${ellipsis}${text.slice(startLastHalf)}${notification}`;
-  }
-
-  return text;
-}
-
-/**
- * @param {TMessage[]} _messages
- * @param {number} maxContextTokens
- * @param {function({role: string, content: TMessageContent[]}): number} getTokenCountForMessage
- *
- * @returns {{
- *  dbMessages: TMessage[],
- * editedIndices: number[]
- * }}
- */
-function truncateToolCallOutputs(_messages, maxContextTokens, getTokenCountForMessage) {
-  const THRESHOLD_PERCENTAGE = 0.5;
-  const targetTokenLimit = maxContextTokens * THRESHOLD_PERCENTAGE;
-
-  let currentTokenCount = 3;
-  const messages = [..._messages];
-  const processedMessages = [];
-  let currentIndex = messages.length;
-  const editedIndices = new Set();
-  while (messages.length > 0) {
-    currentIndex--;
-    const message = messages.pop();
-    currentTokenCount += message.tokenCount;
-    if (currentTokenCount < targetTokenLimit) {
-      processedMessages.push(message);
-      continue;
-    }
-
-    if (!message.content || !Array.isArray(message.content)) {
-      processedMessages.push(message);
-      continue;
-    }
-
-    const toolCallIndices = message.content
-      .map((item, index) => (item.type === 'tool_call' ? index : -1))
-      .filter((index) => index !== -1)
-      .reverse();
-
-    if (toolCallIndices.length === 0) {
-      processedMessages.push(message);
-      continue;
-    }
-
-    const newContent = [...message.content];
-
-    // Truncate all tool outputs since we're over threshold
-    for (const index of toolCallIndices) {
-      const toolCall = newContent[index].tool_call;
-      if (!toolCall || !toolCall.output) {
-        continue;
-      }
-
-      editedIndices.add(currentIndex);
-
-      newContent[index] = {
-        ...newContent[index],
-        tool_call: {
-          ...toolCall,
-          output: '[OUTPUT_OMITTED_FOR_BREVITY]',
-        },
-      };
-    }
-
-    const truncatedMessage = {
-      ...message,
-      content: newContent,
-      tokenCount: getTokenCountForMessage({ role: 'assistant', content: newContent }),
-    };
-
-    processedMessages.push(truncatedMessage);
-  }
-
-  return { dbMessages: processedMessages.reverse(), editedIndices: Array.from(editedIndices) };
-}
-
-module.exports = { truncateText, smartTruncateText, truncateToolCallOutputs };

api/app/clients/prompts/truncateText.js

@@ -0,0 +1,40 @@
+const MAX_CHAR = 255;
+
+/**
+ * Truncates a given text to a specified maximum length, appending ellipsis and a notification
+ * if the original text exceeds the maximum length.
+ *
+ * @param {string} text - The text to be truncated.
+ * @param {number} [maxLength=MAX_CHAR] - The maximum length of the text after truncation. Defaults to MAX_CHAR.
+ * @returns {string} The truncated text if the original text length exceeds maxLength, otherwise returns the original text.
+ */
+function truncateText(text, maxLength = MAX_CHAR) {
+  if (text.length > maxLength) {
+    return `${text.slice(0, maxLength)}... [text truncated for brevity]`;
+  }
+  return text;
+}
+
+/**
+ * Truncates a given text to a specified maximum length by showing the first half and the last half of the text,
+ * separated by ellipsis. This method ensures the output does not exceed the maximum length, including the addition
+ * of ellipsis and notification if the original text exceeds the maximum length.
+ *
+ * @param {string} text - The text to be truncated.
+ * @param {number} [maxLength=MAX_CHAR] - The maximum length of the output text after truncation. Defaults to MAX_CHAR.
+ * @returns {string} The truncated text showing the first half and the last half, or the original text if it does not exceed maxLength.
+ */
+function smartTruncateText(text, maxLength = MAX_CHAR) {
+  const ellipsis = '...';
+  const notification = ' [text truncated for brevity]';
+  const halfMaxLength = Math.floor((maxLength - ellipsis.length - notification.length) / 2);
+
+  if (text.length > maxLength) {
+    const startLastHalf = text.length - halfMaxLength;
+    return `${text.slice(0, halfMaxLength)}${ellipsis}${text.slice(startLastHalf)}${notification}`;
+  }
+
+  return text;
+}
+
+module.exports = { truncateText, smartTruncateText };

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

@@ -61,7 +61,7 @@ describe('BaseClient', () => {
   const options = {
     // debug: true,
     modelOptions: {
-      model: 'gpt-4o-mini',
+      model: 'gpt-3.5-turbo',
       temperature: 0,
     },
   };
@@ -88,19 +88,6 @@ describe('BaseClient', () => {
     const messages = [{ content: 'Hello' }, { content: 'How are you?' }, { content: 'Goodbye' }];
     const instructions = { content: 'Please respond to the question.' };
     const result = TestClient.addInstructions(messages, instructions);
-    const expected = [
-      { content: 'Please respond to the question.' },
-      { content: 'Hello' },
-      { content: 'How are you?' },
-      { content: 'Goodbye' },
-    ];
-    expect(result).toEqual(expected);
-  });
-
-  test('returns the input messages with instructions properly added when addInstructions() with legacy flag', () => {
-    const messages = [{ content: 'Hello' }, { content: 'How are you?' }, { content: 'Goodbye' }];
-    const instructions = { content: 'Please respond to the question.' };
-    const result = TestClient.addInstructions(messages, instructions, true);
     const expected = [
       { content: 'Hello' },
       { content: 'How are you?' },
@@ -159,7 +146,7 @@ describe('BaseClient', () => {
       expectedMessagesToRefine?.[expectedMessagesToRefine.length - 1] ?? {};
     const expectedIndex = messages.findIndex((msg) => msg.content === lastExpectedMessage?.content);
 
-    const result = await TestClient.getMessagesWithinTokenLimit({ messages });
+    const result = await TestClient.getMessagesWithinTokenLimit(messages);
 
     expect(result.context).toEqual(expectedContext);
     expect(result.summaryIndex).toEqual(expectedIndex);
@@ -195,7 +182,7 @@ describe('BaseClient', () => {
       expectedMessagesToRefine?.[expectedMessagesToRefine.length - 1] ?? {};
     const expectedIndex = messages.findIndex((msg) => msg.content === lastExpectedMessage?.content);
 
-    const result = await TestClient.getMessagesWithinTokenLimit({ messages });
+    const result = await TestClient.getMessagesWithinTokenLimit(messages);
 
     expect(result.context).toEqual(expectedContext);
     expect(result.summaryIndex).toEqual(expectedIndex);
@@ -203,6 +190,66 @@ describe('BaseClient', () => {
     expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
   });
 
+  test('handles context strategy correctly in handleContextStrategy()', async () => {
+    TestClient.addInstructions = jest
+      .fn()
+      .mockReturnValue([
+        { content: 'Hello' },
+        { content: 'How can I help you?' },
+        { content: 'Please provide more details.' },
+        { content: 'I can assist you with that.' },
+      ]);
+    TestClient.getMessagesWithinTokenLimit = jest.fn().mockReturnValue({
+      context: [
+        { content: 'How can I help you?' },
+        { content: 'Please provide more details.' },
+        { content: 'I can assist you with that.' },
+      ],
+      remainingContextTokens: 80,
+      messagesToRefine: [{ content: 'Hello' }],
+      summaryIndex: 3,
+    });
+
+    TestClient.getTokenCount = jest.fn().mockReturnValue(40);
+
+    const instructions = { content: 'Please provide more details.' };
+    const orderedMessages = [
+      { content: 'Hello' },
+      { content: 'How can I help you?' },
+      { content: 'Please provide more details.' },
+      { content: 'I can assist you with that.' },
+    ];
+    const formattedMessages = [
+      { content: 'Hello' },
+      { content: 'How can I help you?' },
+      { content: 'Please provide more details.' },
+      { content: 'I can assist you with that.' },
+    ];
+    const expectedResult = {
+      payload: [
+        {
+          role: 'system',
+          content: 'Refined answer',
+        },
+        { content: 'How can I help you?' },
+        { content: 'Please provide more details.' },
+        { content: 'I can assist you with that.' },
+      ],
+      promptTokens: expect.any(Number),
+      tokenCountMap: {},
+      messages: expect.any(Array),
+    };
+
+    TestClient.shouldSummarize = true;
+    const result = await TestClient.handleContextStrategy({
+      instructions,
+      orderedMessages,
+      formattedMessages,
+    });
+
+    expect(result).toEqual(expectedResult);
+  });
+
   describe('getMessagesForConversation', () => {
     it('should return an empty array if the parentMessageId does not exist', () => {
       const result = TestClient.constructor.getMessagesForConversation({
@@ -568,9 +615,9 @@ describe('BaseClient', () => {
     test('getTokenCount for response is called with the correct arguments', async () => {
       const tokenCountMap = {}; // Mock tokenCountMap
       TestClient.buildMessages.mockReturnValue({ prompt: [], tokenCountMap });
-      TestClient.getTokenCountForResponse = jest.fn();
+      TestClient.getTokenCount = jest.fn();
       const response = await TestClient.sendMessage('Hello, world!', {});
-      expect(TestClient.getTokenCountForResponse).toHaveBeenCalledWith(response);
+      expect(TestClient.getTokenCount).toHaveBeenCalledWith(response.text);
     });
 
     test('returns an object with the correct shape', async () => {
@@ -614,112 +661,4 @@ describe('BaseClient', () => {
       expect(calls[1][0].isCreatedByUser).toBe(false); // Second call should be for response message
     });
   });
-
-  describe('getMessagesWithinTokenLimit with instructions', () => {
-    test('should always include instructions when present', async () => {
-      TestClient.maxContextTokens = 50;
-      const instructions = {
-        role: 'system',
-        content: 'System instructions',
-        tokenCount: 20,
-      };
-
-      const messages = [
-        instructions,
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-        instructions,
-      });
-
-      expect(result.context[0]).toBe(instructions);
-      expect(result.remainingContextTokens).toBe(2);
-    });
-
-    test('should handle case when messages exceed limit but instructions must be preserved', async () => {
-      TestClient.maxContextTokens = 30;
-      const instructions = {
-        role: 'system',
-        content: 'System instructions',
-        tokenCount: 20,
-      };
-
-      const messages = [
-        instructions,
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-        instructions,
-      });
-
-      // Should only include instructions and the last message that fits
-      expect(result.context).toHaveLength(1);
-      expect(result.context[0].content).toBe(instructions.content);
-      expect(result.messagesToRefine).toHaveLength(2);
-      expect(result.remainingContextTokens).toBe(7); // 30 - 20 - 3 (assistant label)
-    });
-
-    test('should work correctly without instructions (1/2)', async () => {
-      TestClient.maxContextTokens = 50;
-      const messages = [
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-      });
-
-      expect(result.context).toHaveLength(2);
-      expect(result.remainingContextTokens).toBe(22); // 50 - 10 - 15 - 3(assistant label)
-      expect(result.messagesToRefine).toHaveLength(0);
-    });
-
-    test('should work correctly without instructions (2/2)', async () => {
-      TestClient.maxContextTokens = 30;
-      const messages = [
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 20 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-      });
-
-      expect(result.context).toHaveLength(1);
-      expect(result.remainingContextTokens).toBe(7);
-      expect(result.messagesToRefine).toHaveLength(1);
-    });
-
-    test('should handle case when only instructions fit within limit', async () => {
-      TestClient.maxContextTokens = 25;
-      const instructions = {
-        role: 'system',
-        content: 'System instructions',
-        tokenCount: 20,
-      };
-
-      const messages = [
-        instructions,
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-        instructions,
-      });
-
-      expect(result.context).toHaveLength(1);
-      expect(result.context[0]).toBe(instructions);
-      expect(result.messagesToRefine).toHaveLength(2);
-      expect(result.remainingContextTokens).toBe(2); // 25 - 20 - 3(assistant label)
-    });
-  });
 });

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

@@ -1,7 +1,5 @@
-jest.mock('~/cache/getLogStores');
 require('dotenv').config();
 const OpenAI = require('openai');
-const getLogStores = require('~/cache/getLogStores');
 const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
 const { genAzureChatCompletion } = require('~/utils/azureUtils');
 const OpenAIClient = require('../OpenAIClient');
@@ -136,13 +134,7 @@ OpenAI.mockImplementation(() => ({
 }));
 
 describe('OpenAIClient', () => {
-  const mockSet = jest.fn();
-  const mockCache = { set: mockSet };
-
-  beforeEach(() => {
-    getLogStores.mockReturnValue(mockCache);
-  });
-  let client;
+  let client, client2;
   const model = 'gpt-4';
   const parentMessageId = '1';
   const messages = [
@@ -184,6 +176,7 @@ describe('OpenAIClient', () => {
   beforeEach(() => {
     const options = { ...defaultOptions };
     client = new OpenAIClient('test-api-key', options);
+    client2 = new OpenAIClient('test-api-key', options);
     client.summarizeMessages = jest.fn().mockResolvedValue({
       role: 'assistant',
       content: 'Refined answer',
@@ -192,6 +185,7 @@ describe('OpenAIClient', () => {
     client.buildPrompt = jest
       .fn()
       .mockResolvedValue({ prompt: messages.map((m) => m.text).join('\n') });
+    client.constructor.freeAndResetAllEncoders();
     client.getMessages = jest.fn().mockResolvedValue([]);
   });
 
@@ -227,7 +221,7 @@ describe('OpenAIClient', () => {
 
     it('should set isChatCompletion based on useOpenRouter, reverseProxyUrl, or model', () => {
       client.setOptions({ reverseProxyUrl: null });
-      // true by default since default model will be gpt-4o-mini
+      // true by default since default model will be gpt-3.5-turbo
       expect(client.isChatCompletion).toBe(true);
       client.isChatCompletion = undefined;
 
@@ -236,7 +230,7 @@ describe('OpenAIClient', () => {
       expect(client.isChatCompletion).toBe(false);
       client.isChatCompletion = undefined;
 
-      client.setOptions({ modelOptions: { model: 'gpt-4o-mini' }, reverseProxyUrl: null });
+      client.setOptions({ modelOptions: { model: 'gpt-3.5-turbo' }, reverseProxyUrl: null });
       expect(client.isChatCompletion).toBe(true);
     });
 
@@ -341,18 +335,83 @@ describe('OpenAIClient', () => {
     });
   });
 
+  describe('selectTokenizer', () => {
+    it('should get the correct tokenizer based on the instance state', () => {
+      const tokenizer = client.selectTokenizer();
+      expect(tokenizer).toBeDefined();
+    });
+  });
+
+  describe('freeAllTokenizers', () => {
+    it('should free all tokenizers', () => {
+      // Create a tokenizer
+      const tokenizer = client.selectTokenizer();
+
+      // Mock 'free' method on the tokenizer
+      tokenizer.free = jest.fn();
+
+      client.constructor.freeAndResetAllEncoders();
+
+      // Check if 'free' method has been called on the tokenizer
+      expect(tokenizer.free).toHaveBeenCalled();
+    });
+  });
+
   describe('getTokenCount', () => {
     it('should return the correct token count', () => {
       const count = client.getTokenCount('Hello, world!');
       expect(count).toBeGreaterThan(0);
     });
+
+    it('should reset the encoder and count when count reaches 25', () => {
+      const freeAndResetEncoderSpy = jest.spyOn(client.constructor, 'freeAndResetAllEncoders');
+
+      // Call getTokenCount 25 times
+      for (let i = 0; i < 25; i++) {
+        client.getTokenCount('test text');
+      }
+
+      expect(freeAndResetEncoderSpy).toHaveBeenCalled();
+    });
+
+    it('should not reset the encoder and count when count is less than 25', () => {
+      const freeAndResetEncoderSpy = jest.spyOn(client.constructor, 'freeAndResetAllEncoders');
+      freeAndResetEncoderSpy.mockClear();
+
+      // Call getTokenCount 24 times
+      for (let i = 0; i < 24; i++) {
+        client.getTokenCount('test text');
+      }
+
+      expect(freeAndResetEncoderSpy).not.toHaveBeenCalled();
+    });
+
+    it('should handle errors and reset the encoder', () => {
+      const freeAndResetEncoderSpy = jest.spyOn(client.constructor, 'freeAndResetAllEncoders');
+
+      // Mock encode function to throw an error
+      client.selectTokenizer().encode = jest.fn().mockImplementation(() => {
+        throw new Error('Test error');
+      });
+
+      client.getTokenCount('test text');
+
+      expect(freeAndResetEncoderSpy).toHaveBeenCalled();
+    });
+
+    it('should not throw null pointer error when freeing the same encoder twice', () => {
+      client.constructor.freeAndResetAllEncoders();
+      client2.constructor.freeAndResetAllEncoders();
+
+      const count = client2.getTokenCount('test text');
+      expect(count).toBeGreaterThan(0);
+    });
   });
 
   describe('getSaveOptions', () => {
     it('should return the correct save options', () => {
       const options = client.getSaveOptions();
       expect(options).toHaveProperty('chatGptLabel');
-      expect(options).toHaveProperty('modelLabel');
       expect(options).toHaveProperty('promptPrefix');
     });
   });
@@ -488,6 +547,7 @@ describe('OpenAIClient', () => {
     testCases.forEach((testCase) => {
       it(`should return ${testCase.expected} tokens for model ${testCase.model}`, () => {
         client.modelOptions.model = testCase.model;
+        client.selectTokenizer();
         // 3 tokens for assistant label
         let totalTokens = 3;
         for (let message of example_messages) {
@@ -521,6 +581,7 @@ describe('OpenAIClient', () => {
 
     it(`should return ${expectedTokens} tokens for model ${visionModel} (Vision Request)`, () => {
       client.modelOptions.model = visionModel;
+      client.selectTokenizer();
       // 3 tokens for assistant label
       let totalTokens = 3;
       for (let message of vision_request) {

api/app/clients/tools/index.js

@@ -2,8 +2,6 @@ const availableTools = require('./manifest.json');
 
 // Structured Tools
 const DALLE3 = require('./structured/DALLE3');
-const OpenWeather = require('./structured/OpenWeather');
-const createYouTubeTools = require('./structured/YouTube');
 const StructuredWolfram = require('./structured/Wolfram');
 const StructuredACS = require('./structured/AzureAISearch');
 const StructuredSD = require('./structured/StableDiffusion');
@@ -11,31 +9,14 @@ const GoogleSearchAPI = require('./structured/GoogleSearch');
 const TraversaalSearch = require('./structured/TraversaalSearch');
 const TavilySearchResults = require('./structured/TavilySearchResults');
 
-/** @type {Record<string, TPlugin | undefined>} */
-const manifestToolMap = {};
-
-/** @type {Array<TPlugin>} */
-const toolkits = [];
-
-availableTools.forEach((tool) => {
-  manifestToolMap[tool.pluginKey] = tool;
-  if (tool.toolkit === true) {
-    toolkits.push(tool);
-  }
-});
-
 module.exports = {
-  toolkits,
   availableTools,
-  manifestToolMap,
   // Structured Tools
   DALLE3,
-  OpenWeather,
   StructuredSD,
   StructuredACS,
   GoogleSearchAPI,
   TraversaalSearch,
   StructuredWolfram,
-  createYouTubeTools,
   TavilySearchResults,
 };

api/app/clients/tools/manifest.json

@@ -30,20 +30,6 @@
       }
     ]
   },
-  {
-    "name": "YouTube",
-    "pluginKey": "youtube",
-    "toolkit": true,
-    "description": "Get YouTube video information, retrieve comments, analyze transcripts and search for videos.",
-    "icon": "https://www.youtube.com/s/desktop/7449ebf7/img/favicon_144x144.png",
-    "authConfig": [
-      {
-        "authField": "YOUTUBE_API_KEY",
-        "label": "YouTube API Key",
-        "description": "Your YouTube Data API v3 key."
-      }
-    ]
-  },
   {
     "name": "Wolfram",
     "pluginKey": "wolfram",
@@ -114,6 +100,7 @@
     "pluginKey": "calculator",
     "description": "Perform simple and complex mathematical calculations.",
     "icon": "https://i.imgur.com/RHsSG5h.png",
+    "isAuthRequired": "false",
     "authConfig": []
   },
   {
@@ -148,20 +135,7 @@
       {
         "authField": "AZURE_AI_SEARCH_API_KEY",
         "label": "Azure AI Search API Key",
-        "description": "You need to provide your API Key for Azure AI Search."
-      }
-    ]
-  },
-  {
-    "name": "OpenWeather",
-    "pluginKey": "open_weather",
-    "description": "Get weather forecasts and historical data from the OpenWeather API",
-    "icon": "/assets/openweather.png",
-    "authConfig": [
-      {
-        "authField": "OPENWEATHER_API_KEY",
-        "label": "OpenWeather API Key",
-        "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>."
+        "description": "You need to provideq your API Key for Azure AI Search."
       }
     ]
   }

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

@@ -19,8 +19,6 @@ class DALLE3 extends Tool {
 
     this.userId = fields.userId;
     this.fileStrategy = fields.fileStrategy;
-    /** @type {boolean} */
-    this.isAgent = fields.isAgent;
     if (fields.processFileURL) {
       /** @type {processFileURL} Necessary for output to contain all image metadata. */
       this.processFileURL = fields.processFileURL.bind(this);
@@ -110,19 +108,6 @@ class DALLE3 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 [
-        '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 value;
-  }
-
   async _call(data) {
     const { prompt, quality = 'standard', size = '1024x1024', style = 'vivid' } = data;
     if (!prompt) {
@@ -141,23 +126,18 @@ class DALLE3 extends Tool {
       });
     } catch (error) {
       logger.error('[DALL-E-3] Problem generating the image:', error);
-      return this
-        .returnValue(`Something went wrong when trying to generate the image. The DALL-E API may be unavailable:
-Error Message: ${error.message}`);
+      return `Something went wrong when trying to generate the image. The DALL-E API may be unavailable:
+Error Message: ${error.message}`;
     }
 
     if (!resp) {
-      return this.returnValue(
-        'Something went wrong when trying to generate the image. The DALL-E API may be unavailable',
-      );
+      return 'Something went wrong when trying to generate the image. The DALL-E API may be unavailable';
     }
 
     const theImageUrl = resp.data[0].url;
 
     if (!theImageUrl) {
-      return this.returnValue(
-        'No image URL returned from OpenAI API. There may be a problem with the API or your configuration.',
-      );
+      return 'No image URL returned from OpenAI API. There may be a problem with the API or your configuration.';
     }
 
     const imageBasename = getImageBasename(theImageUrl);
@@ -177,11 +157,11 @@ Error Message: ${error.message}`);
 
     try {
       const result = await this.processFileURL({
-        URL: theImageUrl,
-        basePath: 'images',
-        userId: this.userId,
-        fileName: imageName,
         fileStrategy: this.fileStrategy,
+        userId: this.userId,
+        URL: theImageUrl,
+        fileName: imageName,
+        basePath: 'images',
         context: FileContext.image_generation,
       });
 
@@ -195,7 +175,7 @@ Error Message: ${error.message}`);
       this.result = `Failed to save the image locally. ${error.message}`;
     }
 
-    return this.returnValue(this.result);
+    return this.result;
   }
 }
 

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

@@ -1,317 +0,0 @@
-const { Tool } = require('@langchain/core/tools');
-const { z } = require('zod');
-const { getEnvironmentVariable } = require('@langchain/core/utils/env');
-const fetch = require('node-fetch');
-
-/**
- * Map user-friendly units to OpenWeather units.
- * Defaults to Celsius if not specified.
- */
-function mapUnitsToOpenWeather(unit) {
-  if (!unit) {
-    return 'metric';
-  } // Default to Celsius
-  switch (unit) {
-    case 'Celsius':
-      return 'metric';
-    case 'Kelvin':
-      return 'standard';
-    case 'Fahrenheit':
-      return 'imperial';
-    default:
-      return 'metric'; // fallback
-  }
-}
-
-/**
- * Recursively round temperature fields in the API response.
- */
-function roundTemperatures(obj) {
-  const tempKeys = new Set([
-    'temp',
-    'feels_like',
-    'dew_point',
-    'day',
-    'min',
-    'max',
-    'night',
-    'eve',
-    'morn',
-    'afternoon',
-    'morning',
-    'evening',
-  ]);
-
-  if (Array.isArray(obj)) {
-    return obj.map((item) => roundTemperatures(item));
-  } else if (obj && typeof obj === 'object') {
-    for (const key of Object.keys(obj)) {
-      const value = obj[key];
-      if (value && typeof value === 'object') {
-        obj[key] = roundTemperatures(value);
-      } else if (typeof value === 'number' && tempKeys.has(key)) {
-        obj[key] = Math.round(value);
-      }
-    }
-  }
-  return obj;
-}
-
-class OpenWeather extends Tool {
-  name = 'open_weather';
-  description =
-    'Provides weather data from OpenWeather One Call API 3.0. ' +
-    'Actions: help, current_forecast, timestamp, daily_aggregation, overview. ' +
-    'If lat/lon not provided, specify "city" for geocoding. ' +
-    'Units: "Celsius", "Kelvin", or "Fahrenheit" (default: Celsius). ' +
-    'For timestamp action, use "date" in YYYY-MM-DD format.';
-
-  schema = z.object({
-    action: z.enum(['help', 'current_forecast', 'timestamp', 'daily_aggregation', 'overview']),
-    city: z.string().optional(),
-    lat: z.number().optional(),
-    lon: z.number().optional(),
-    exclude: z.string().optional(),
-    units: z.enum(['Celsius', 'Kelvin', 'Fahrenheit']).optional(),
-    lang: z.string().optional(),
-    date: z.string().optional(), // For timestamp and daily_aggregation
-    tz: z.string().optional(),
-  });
-
-  constructor(fields = {}) {
-    super();
-    this.envVar = 'OPENWEATHER_API_KEY';
-    this.override = fields.override ?? false;
-    this.apiKey = fields[this.envVar] ?? this.getApiKey();
-  }
-
-  getApiKey() {
-    const key = getEnvironmentVariable(this.envVar);
-    if (!key && !this.override) {
-      throw new Error(`Missing ${this.envVar} environment variable.`);
-    }
-    return key;
-  }
-
-  async geocodeCity(city) {
-    const geocodeUrl = `https://api.openweathermap.org/geo/1.0/direct?q=${encodeURIComponent(
-      city,
-    )}&limit=1&appid=${this.apiKey}`;
-    const res = await fetch(geocodeUrl);
-    const data = await res.json();
-    if (!res.ok || !Array.isArray(data) || data.length === 0) {
-      throw new Error(`Could not find coordinates for city: ${city}`);
-    }
-    return { lat: data[0].lat, lon: data[0].lon };
-  }
-
-  convertDateToUnix(dateStr) {
-    const parts = dateStr.split('-');
-    if (parts.length !== 3) {
-      throw new Error('Invalid date format. Expected YYYY-MM-DD.');
-    }
-    const year = parseInt(parts[0], 10);
-    const month = parseInt(parts[1], 10);
-    const day = parseInt(parts[2], 10);
-    if (isNaN(year) || isNaN(month) || isNaN(day)) {
-      throw new Error('Invalid date format. Expected YYYY-MM-DD with valid numbers.');
-    }
-
-    const dateObj = new Date(Date.UTC(year, month - 1, day, 0, 0, 0));
-    if (isNaN(dateObj.getTime())) {
-      throw new Error('Invalid date provided. Cannot parse into a valid date.');
-    }
-
-    return Math.floor(dateObj.getTime() / 1000);
-  }
-
-  async _call(args) {
-    try {
-      const { action, city, lat, lon, exclude, units, lang, date, tz } = args;
-      const owmUnits = mapUnitsToOpenWeather(units);
-
-      if (action === 'help') {
-        return JSON.stringify(
-          {
-            title: 'OpenWeather One Call API 3.0 Help',
-            description: 'Guidance on using the OpenWeather One Call API 3.0.',
-            endpoints: {
-              current_and_forecast: {
-                endpoint: 'data/3.0/onecall',
-                data_provided: [
-                  'Current weather',
-                  'Minute forecast (1h)',
-                  'Hourly forecast (48h)',
-                  'Daily forecast (8 days)',
-                  'Government weather alerts',
-                ],
-                required_params: [['lat', 'lon'], ['city']],
-                optional_params: ['exclude', 'units (Celsius/Kelvin/Fahrenheit)', 'lang'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  units: 'Fahrenheit',
-                  lang: 'en',
-                },
-              },
-              weather_for_timestamp: {
-                endpoint: 'data/3.0/onecall/timemachine',
-                data_provided: [
-                  'Historical weather (since 1979-01-01)',
-                  'Future forecast up to 4 days ahead',
-                ],
-                required_params: [
-                  ['lat', 'lon', 'date (YYYY-MM-DD)'],
-                  ['city', 'date (YYYY-MM-DD)'],
-                ],
-                optional_params: ['units (Celsius/Kelvin/Fahrenheit)', 'lang'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  date: '2020-03-04',
-                  units: 'Fahrenheit',
-                  lang: 'en',
-                },
-              },
-              daily_aggregation: {
-                endpoint: 'data/3.0/onecall/day_summary',
-                data_provided: [
-                  'Aggregated weather data for a specific date (1979-01-02 to 1.5 years ahead)',
-                ],
-                required_params: [
-                  ['lat', 'lon', 'date (YYYY-MM-DD)'],
-                  ['city', 'date (YYYY-MM-DD)'],
-                ],
-                optional_params: ['units (Celsius/Kelvin/Fahrenheit)', 'lang', 'tz'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  date: '2020-03-04',
-                  units: 'Celsius',
-                  lang: 'en',
-                },
-              },
-              weather_overview: {
-                endpoint: 'data/3.0/onecall/overview',
-                data_provided: ['Human-readable weather summary (today/tomorrow)'],
-                required_params: [['lat', 'lon'], ['city']],
-                optional_params: ['date (YYYY-MM-DD)', 'units (Celsius/Kelvin/Fahrenheit)'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  date: '2024-05-13',
-                  units: 'Celsius',
-                },
-              },
-            },
-            notes: [
-              'If lat/lon not provided, you can specify a city name and it will be geocoded.',
-              'For the timestamp action, provide a date in YYYY-MM-DD format instead of a Unix timestamp.',
-              'By default, temperatures are returned in Celsius.',
-              'You can specify units as Celsius, Kelvin, or Fahrenheit.',
-              'All temperatures are rounded to the nearest degree.',
-            ],
-            errors: [
-              '400: Bad Request (missing/invalid params)',
-              '401: Unauthorized (check API key)',
-              '404: Not Found (no data or city)',
-              '429: Too many requests',
-              '5xx: Internal error',
-            ],
-          },
-          null,
-          2,
-        );
-      }
-
-      let finalLat = lat;
-      let finalLon = lon;
-
-      // If lat/lon not provided but city is given, geocode it
-      if ((finalLat == null || finalLon == null) && city) {
-        const coords = await this.geocodeCity(city);
-        finalLat = coords.lat;
-        finalLon = coords.lon;
-      }
-
-      if (['current_forecast', 'timestamp', 'daily_aggregation', 'overview'].includes(action)) {
-        if (typeof finalLat !== 'number' || typeof finalLon !== 'number') {
-          return 'Error: lat and lon are required and must be numbers for this action (or specify \'city\').';
-        }
-      }
-
-      const baseUrl = 'https://api.openweathermap.org/data/3.0';
-      let endpoint = '';
-      const params = new URLSearchParams({ appid: this.apiKey, units: owmUnits });
-
-      let dt;
-      if (action === 'timestamp') {
-        if (!date) {
-          return 'Error: For timestamp action, a \'date\' in YYYY-MM-DD format is required.';
-        }
-        dt = this.convertDateToUnix(date);
-      }
-
-      if (action === 'daily_aggregation' && !date) {
-        return 'Error: date (YYYY-MM-DD) is required for daily_aggregation action.';
-      }
-
-      switch (action) {
-        case 'current_forecast':
-          endpoint = '/onecall';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          if (exclude) {
-            params.append('exclude', exclude);
-          }
-          if (lang) {
-            params.append('lang', lang);
-          }
-          break;
-        case 'timestamp':
-          endpoint = '/onecall/timemachine';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          params.append('dt', String(dt));
-          if (lang) {
-            params.append('lang', lang);
-          }
-          break;
-        case 'daily_aggregation':
-          endpoint = '/onecall/day_summary';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          params.append('date', date);
-          if (lang) {
-            params.append('lang', lang);
-          }
-          if (tz) {
-            params.append('tz', tz);
-          }
-          break;
-        case 'overview':
-          endpoint = '/onecall/overview';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          if (date) {
-            params.append('date', date);
-          }
-          break;
-        default:
-          return `Error: Unknown action: ${action}`;
-      }
-
-      const url = `${baseUrl}${endpoint}?${params.toString()}`;
-      const response = await fetch(url);
-      const json = await response.json();
-      if (!response.ok) {
-        return `Error: OpenWeather API request failed with status ${response.status}: ${
-          json.message || JSON.stringify(json)
-        }`;
-      }
-
-      const roundedJson = roundTemperatures(json);
-      return JSON.stringify(roundedJson);
-    } catch (err) {
-      return `Error: ${err.message}`;
-    }
-  }
-}
-
-module.exports = OpenWeather;

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

@@ -1,6 +1,6 @@
 const { z } = require('zod');
 const { tool } = require('@langchain/core/tools');
-const { getApiKey } = require('./credentials');
+const { getEnvironmentVariable } = require('@langchain/core/utils/env');
 
 function createTavilySearchTool(fields = {}) {
   const envVar = 'TAVILY_API_KEY';
@@ -8,6 +8,14 @@ function createTavilySearchTool(fields = {}) {
   const apiKey = fields.apiKey ?? getApiKey(envVar, override);
   const kwargs = fields?.kwargs ?? {};
 
+  function getApiKey(envVar, override) {
+    const key = getEnvironmentVariable(envVar);
+    if (!key && !override) {
+      throw new Error(`Missing ${envVar} environment variable.`);
+    }
+    return key;
+  }
+
   return tool(
     async (input) => {
       const { query, ...rest } = input;

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

@@ -1,203 +0,0 @@
-const { z } = require('zod');
-const { tool } = require('@langchain/core/tools');
-const { youtube } = require('@googleapis/youtube');
-const { YoutubeTranscript } = require('youtube-transcript');
-const { getApiKey } = require('./credentials');
-const { logger } = require('~/config');
-
-function extractVideoId(url) {
-  const rawIdRegex = /^[a-zA-Z0-9_-]{11}$/;
-  if (rawIdRegex.test(url)) {
-    return url;
-  }
-
-  const regex = new RegExp(
-    '(?:youtu\\.be/|youtube(?:\\.com)?/(?:' +
-      '(?:watch\\?v=)|(?:embed/)|(?:shorts/)|(?:live/)|(?:v/)|(?:/))?)' +
-      '([a-zA-Z0-9_-]{11})(?:\\S+)?$',
-  );
-  const match = url.match(regex);
-  return match ? match[1] : null;
-}
-
-function parseTranscript(transcriptResponse) {
-  if (!Array.isArray(transcriptResponse)) {
-    return '';
-  }
-
-  return transcriptResponse
-    .map((entry) => entry.text.trim())
-    .filter((text) => text)
-    .join(' ')
-    .replaceAll(''', '\'');
-}
-
-function createYouTubeTools(fields = {}) {
-  const envVar = 'YOUTUBE_API_KEY';
-  const override = fields.override ?? false;
-  const apiKey = fields.apiKey ?? fields[envVar] ?? getApiKey(envVar, override);
-
-  const youtubeClient = youtube({
-    version: 'v3',
-    auth: apiKey,
-  });
-
-  const searchTool = tool(
-    async ({ query, maxResults = 5 }) => {
-      const response = await youtubeClient.search.list({
-        part: 'snippet',
-        q: query,
-        type: 'video',
-        maxResults: maxResults || 5,
-      });
-      const result = response.data.items.map((item) => ({
-        title: item.snippet.title,
-        description: item.snippet.description,
-        url: `https://www.youtube.com/watch?v=${item.id.videoId}`,
-      }));
-      return JSON.stringify(result, null, 2);
-    },
-    {
-      name: 'youtube_search',
-      description: `Search for YouTube videos by keyword or phrase.
-- Required: query (search terms to find videos)
-- Optional: maxResults (number of videos to return, 1-50, default: 5)
-- Returns: List of videos with titles, descriptions, and URLs
-- Use for: Finding specific videos, exploring content, research
-Example: query="cooking pasta tutorials" maxResults=3`,
-      schema: z.object({
-        query: z.string().describe('Search query terms'),
-        maxResults: z.number().int().min(1).max(50).optional().describe('Number of results (1-50)'),
-      }),
-    },
-  );
-
-  const infoTool = tool(
-    async ({ url }) => {
-      const videoId = extractVideoId(url);
-      if (!videoId) {
-        throw new Error('Invalid YouTube URL or video ID');
-      }
-
-      const response = await youtubeClient.videos.list({
-        part: 'snippet,statistics',
-        id: videoId,
-      });
-
-      if (!response.data.items?.length) {
-        throw new Error('Video not found');
-      }
-      const video = response.data.items[0];
-
-      const result = {
-        title: video.snippet.title,
-        description: video.snippet.description,
-        views: video.statistics.viewCount,
-        likes: video.statistics.likeCount,
-        comments: video.statistics.commentCount,
-      };
-      return JSON.stringify(result, null, 2);
-    },
-    {
-      name: 'youtube_info',
-      description: `Get detailed metadata and statistics for a specific YouTube video.
-- Required: url (full YouTube URL or video ID)
-- Returns: Video title, description, view count, like count, comment count
-- Use for: Getting video metrics and basic metadata
-- DO NOT USE FOR VIDEO SUMMARIES, USE TRANSCRIPTS FOR COMPREHENSIVE ANALYSIS
-- Accepts both full URLs and video IDs
-Example: url="https://youtube.com/watch?v=abc123" or url="abc123"`,
-      schema: z.object({
-        url: z.string().describe('YouTube video URL or ID'),
-      }),
-    },
-  );
-
-  const commentsTool = tool(
-    async ({ url, maxResults = 10 }) => {
-      const videoId = extractVideoId(url);
-      if (!videoId) {
-        throw new Error('Invalid YouTube URL or video ID');
-      }
-
-      const response = await youtubeClient.commentThreads.list({
-        part: 'snippet',
-        videoId,
-        maxResults: maxResults || 10,
-      });
-
-      const result = response.data.items.map((item) => ({
-        author: item.snippet.topLevelComment.snippet.authorDisplayName,
-        text: item.snippet.topLevelComment.snippet.textDisplay,
-        likes: item.snippet.topLevelComment.snippet.likeCount,
-      }));
-      return JSON.stringify(result, null, 2);
-    },
-    {
-      name: 'youtube_comments',
-      description: `Retrieve top-level comments from a YouTube video.
-- Required: url (full YouTube URL or video ID)
-- Optional: maxResults (number of comments, 1-50, default: 10)
-- Returns: Comment text, author names, like counts
-- Use for: Sentiment analysis, audience feedback, engagement review
-Example: url="abc123" maxResults=20`,
-      schema: z.object({
-        url: z.string().describe('YouTube video URL or ID'),
-        maxResults: z
-          .number()
-          .int()
-          .min(1)
-          .max(50)
-          .optional()
-          .describe('Number of comments to retrieve'),
-      }),
-    },
-  );
-
-  const transcriptTool = tool(
-    async ({ url }) => {
-      const videoId = extractVideoId(url);
-      if (!videoId) {
-        throw new Error('Invalid YouTube URL or video ID');
-      }
-
-      try {
-        try {
-          const transcript = await YoutubeTranscript.fetchTranscript(videoId, { lang: 'en' });
-          return parseTranscript(transcript);
-        } catch (e) {
-          logger.error(e);
-        }
-
-        try {
-          const transcript = await YoutubeTranscript.fetchTranscript(videoId, { lang: 'de' });
-          return parseTranscript(transcript);
-        } catch (e) {
-          logger.error(e);
-        }
-
-        const transcript = await YoutubeTranscript.fetchTranscript(videoId);
-        return parseTranscript(transcript);
-      } catch (error) {
-        throw new Error(`Failed to fetch transcript: ${error.message}`);
-      }
-    },
-    {
-      name: 'youtube_transcript',
-      description: `Fetch and parse the transcript/captions of a YouTube video.
-- Required: url (full YouTube URL or video ID)
-- Returns: Full video transcript as plain text
-- Use for: Content analysis, summarization, translation reference
-- This is the "Go-to" tool for analyzing actual video content
-- Attempts to fetch English first, then German, then any available language
-Example: url="https://youtube.com/watch?v=abc123"`,
-      schema: z.object({
-        url: z.string().describe('YouTube video URL or ID'),
-      }),
-    },
-  );
-
-  return [searchTool, infoTool, commentsTool, transcriptTool];
-}
-
-module.exports = createYouTubeTools;

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

@@ -1,13 +0,0 @@
-const { getEnvironmentVariable } = require('@langchain/core/utils/env');
-
-function getApiKey(envVar, override) {
-  const key = getEnvironmentVariable(envVar);
-  if (!key && !override) {
-    throw new Error(`Missing ${envVar} environment variable.`);
-  }
-  return key;
-}
-
-module.exports = {
-  getApiKey,
-};

api/app/clients/tools/structured/specs/openWeather.integration.test.js

@@ -1,224 +0,0 @@
-// __tests__/openWeather.integration.test.js
-const OpenWeather = require('../OpenWeather');
-
-describe('OpenWeather Tool (Integration Test)', () => {
-  let tool;
-
-  beforeAll(() => {
-    tool = new OpenWeather({ override: true });
-    console.log('API Key present:', !!process.env.OPENWEATHER_API_KEY);
-  });
-
-  test('current_forecast with a real API key returns current weather', async () => {
-    // Check if API key is available
-    if (!process.env.OPENWEATHER_API_KEY) {
-      console.warn('Skipping real API test, no OPENWEATHER_API_KEY found.');
-      return;
-    }
-
-    try {
-      const result = await tool.call({
-        action: 'current_forecast',
-        city: 'London',
-        units: 'Celsius',
-      });
-
-      console.log('Raw API response:', result);
-
-      const parsed = JSON.parse(result);
-      expect(parsed).toHaveProperty('current');
-      expect(typeof parsed.current.temp).toBe('number');
-    } catch (error) {
-      console.error('Test failed with error:', error);
-      throw error;
-    }
-  });
-
-  test('timestamp action with real API key returns historical data', async () => {
-    if (!process.env.OPENWEATHER_API_KEY) {
-      console.warn('Skipping real API test, no OPENWEATHER_API_KEY found.');
-      return;
-    }
-
-    try {
-      // Use a date from yesterday to ensure data availability
-      const yesterday = new Date();
-      yesterday.setDate(yesterday.getDate() - 1);
-      const dateStr = yesterday.toISOString().split('T')[0];
-
-      const result = await tool.call({
-        action: 'timestamp',
-        city: 'London',
-        date: dateStr,
-        units: 'Celsius',
-      });
-
-      console.log('Timestamp API response:', result);
-
-      const parsed = JSON.parse(result);
-      expect(parsed).toHaveProperty('data');
-      expect(Array.isArray(parsed.data)).toBe(true);
-      expect(parsed.data[0]).toHaveProperty('temp');
-    } catch (error) {
-      console.error('Timestamp test failed with error:', error);
-      throw error;
-    }
-  });
-
-  test('daily_aggregation action with real API key returns aggregated data', async () => {
-    if (!process.env.OPENWEATHER_API_KEY) {
-      console.warn('Skipping real API test, no OPENWEATHER_API_KEY found.');
-      return;
-    }
-
-    try {
-      // Use yesterday's date for aggregation
-      const yesterday = new Date();
-      yesterday.setDate(yesterday.getDate() - 1);
-      const dateStr = yesterday.toISOString().split('T')[0];
-
-      const result = await tool.call({
-        action: 'daily_aggregation',
-        city: 'London',
-        date: dateStr,
-        units: 'Celsius',
-      });
-
-      console.log('Daily aggregation API response:', result);
-
-      const parsed = JSON.parse(result);
-      expect(parsed).toHaveProperty('temperature');
-      expect(parsed.temperature).toHaveProperty('morning');
-      expect(parsed.temperature).toHaveProperty('afternoon');
-      expect(parsed.temperature).toHaveProperty('evening');
-    } catch (error) {
-      console.error('Daily aggregation test failed with error:', error);
-      throw error;
-    }
-  });
-
-  test('overview action with real API key returns weather summary', async () => {
-    if (!process.env.OPENWEATHER_API_KEY) {
-      console.warn('Skipping real API test, no OPENWEATHER_API_KEY found.');
-      return;
-    }
-
-    try {
-      const result = await tool.call({
-        action: 'overview',
-        city: 'London',
-        units: 'Celsius',
-      });
-
-      console.log('Overview API response:', result);
-
-      const parsed = JSON.parse(result);
-      expect(parsed).toHaveProperty('weather_overview');
-      expect(typeof parsed.weather_overview).toBe('string');
-      expect(parsed.weather_overview.length).toBeGreaterThan(0);
-      expect(parsed).toHaveProperty('date');
-      expect(parsed).toHaveProperty('units');
-      expect(parsed.units).toBe('metric');
-    } catch (error) {
-      console.error('Overview test failed with error:', error);
-      throw error;
-    }
-  });
-
-  test('different temperature units return correct values', async () => {
-    if (!process.env.OPENWEATHER_API_KEY) {
-      console.warn('Skipping real API test, no OPENWEATHER_API_KEY found.');
-      return;
-    }
-
-    try {
-      // Test Celsius
-      let result = await tool.call({
-        action: 'current_forecast',
-        city: 'London',
-        units: 'Celsius',
-      });
-      let parsed = JSON.parse(result);
-      const celsiusTemp = parsed.current.temp;
-
-      // Test Kelvin
-      result = await tool.call({
-        action: 'current_forecast',
-        city: 'London',
-        units: 'Kelvin',
-      });
-      parsed = JSON.parse(result);
-      const kelvinTemp = parsed.current.temp;
-
-      // Test Fahrenheit
-      result = await tool.call({
-        action: 'current_forecast',
-        city: 'London',
-        units: 'Fahrenheit',
-      });
-      parsed = JSON.parse(result);
-      const fahrenheitTemp = parsed.current.temp;
-
-      // Verify temperature conversions are roughly correct
-      // K = C + 273.15
-      // F = (C * 9/5) + 32
-      const celsiusToKelvin = Math.round(celsiusTemp + 273.15);
-      const celsiusToFahrenheit = Math.round((celsiusTemp * 9) / 5 + 32);
-
-      console.log('Temperature comparisons:', {
-        celsius: celsiusTemp,
-        kelvin: kelvinTemp,
-        fahrenheit: fahrenheitTemp,
-        calculatedKelvin: celsiusToKelvin,
-        calculatedFahrenheit: celsiusToFahrenheit,
-      });
-
-      // Allow for some rounding differences
-      expect(Math.abs(kelvinTemp - celsiusToKelvin)).toBeLessThanOrEqual(1);
-      expect(Math.abs(fahrenheitTemp - celsiusToFahrenheit)).toBeLessThanOrEqual(1);
-    } catch (error) {
-      console.error('Temperature units test failed with error:', error);
-      throw error;
-    }
-  });
-
-  test('language parameter returns localized data', async () => {
-    if (!process.env.OPENWEATHER_API_KEY) {
-      console.warn('Skipping real API test, no OPENWEATHER_API_KEY found.');
-      return;
-    }
-
-    try {
-      // Test with English
-      let result = await tool.call({
-        action: 'current_forecast',
-        city: 'Paris',
-        units: 'Celsius',
-        lang: 'en',
-      });
-      let parsed = JSON.parse(result);
-      const englishDescription = parsed.current.weather[0].description;
-
-      // Test with French
-      result = await tool.call({
-        action: 'current_forecast',
-        city: 'Paris',
-        units: 'Celsius',
-        lang: 'fr',
-      });
-      parsed = JSON.parse(result);
-      const frenchDescription = parsed.current.weather[0].description;
-
-      console.log('Language comparison:', {
-        english: englishDescription,
-        french: frenchDescription,
-      });
-
-      // Verify descriptions are different (indicating translation worked)
-      expect(englishDescription).not.toBe(frenchDescription);
-    } catch (error) {
-      console.error('Language test failed with error:', error);
-      throw error;
-    }
-  });
-});

api/app/clients/tools/structured/specs/openweather.test.js

@@ -1,358 +0,0 @@
-// __tests__/openweather.test.js
-const OpenWeather = require('../OpenWeather');
-const fetch = require('node-fetch');
-
-// Mock environment variable
-process.env.OPENWEATHER_API_KEY = 'test-api-key';
-
-// Mock the fetch function globally
-jest.mock('node-fetch', () => jest.fn());
-
-describe('OpenWeather Tool', () => {
-  let tool;
-
-  beforeAll(() => {
-    tool = new OpenWeather();
-  });
-
-  beforeEach(() => {
-    fetch.mockReset();
-  });
-
-  test('action=help returns help instructions', async () => {
-    const result = await tool.call({
-      action: 'help',
-    });
-
-    expect(typeof result).toBe('string');
-    const parsed = JSON.parse(result);
-    expect(parsed.title).toBe('OpenWeather One Call API 3.0 Help');
-  });
-
-  test('current_forecast with a city and successful geocoding + forecast', async () => {
-    // Mock geocoding response
-    fetch.mockImplementationOnce((url) => {
-      if (url.includes('geo/1.0/direct')) {
-        return Promise.resolve({
-          ok: true,
-          json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-        });
-      }
-      return Promise.reject('Unexpected fetch call for geocoding');
-    });
-
-    // Mock forecast response
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: true,
-        json: async () => ({
-          current: { temp: 293.15, feels_like: 295.15 },
-          daily: [{ temp: { day: 293.15, night: 283.15 } }],
-        }),
-      }),
-    );
-
-    const result = await tool.call({
-      action: 'current_forecast',
-      city: 'Knoxville, Tennessee',
-      units: 'Kelvin',
-    });
-
-    const parsed = JSON.parse(result);
-    expect(parsed.current.temp).toBe(293);
-    expect(parsed.current.feels_like).toBe(295);
-    expect(parsed.daily[0].temp.day).toBe(293);
-    expect(parsed.daily[0].temp.night).toBe(283);
-  });
-
-  test('timestamp action with valid date returns mocked historical data', async () => {
-    // Mock geocoding response
-    fetch.mockImplementationOnce((url) => {
-      if (url.includes('geo/1.0/direct')) {
-        return Promise.resolve({
-          ok: true,
-          json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-        });
-      }
-      return Promise.reject('Unexpected fetch call for geocoding');
-    });
-
-    // Mock historical weather response
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: true,
-        json: async () => ({
-          data: [
-            {
-              dt: 1583280000,
-              temp: 283.15,
-              feels_like: 280.15,
-              humidity: 75,
-              weather: [{ description: 'clear sky' }],
-            },
-          ],
-        }),
-      }),
-    );
-
-    const result = await tool.call({
-      action: 'timestamp',
-      city: 'Knoxville, Tennessee',
-      date: '2020-03-04',
-      units: 'Kelvin',
-    });
-
-    const parsed = JSON.parse(result);
-    expect(parsed.data[0].temp).toBe(283);
-    expect(parsed.data[0].feels_like).toBe(280);
-  });
-
-  test('daily_aggregation action returns aggregated weather data', async () => {
-    // Mock geocoding response
-    fetch.mockImplementationOnce((url) => {
-      if (url.includes('geo/1.0/direct')) {
-        return Promise.resolve({
-          ok: true,
-          json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-        });
-      }
-      return Promise.reject('Unexpected fetch call for geocoding');
-    });
-
-    // Mock daily aggregation response
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: true,
-        json: async () => ({
-          date: '2020-03-04',
-          temperature: {
-            morning: 283.15,
-            afternoon: 293.15,
-            evening: 288.15,
-          },
-          humidity: {
-            morning: 75,
-            afternoon: 60,
-            evening: 70,
-          },
-        }),
-      }),
-    );
-
-    const result = await tool.call({
-      action: 'daily_aggregation',
-      city: 'Knoxville, Tennessee',
-      date: '2020-03-04',
-      units: 'Kelvin',
-    });
-
-    const parsed = JSON.parse(result);
-    expect(parsed.temperature.morning).toBe(283);
-    expect(parsed.temperature.afternoon).toBe(293);
-    expect(parsed.temperature.evening).toBe(288);
-  });
-
-  test('overview action returns weather summary', async () => {
-    // Mock geocoding response
-    fetch.mockImplementationOnce((url) => {
-      if (url.includes('geo/1.0/direct')) {
-        return Promise.resolve({
-          ok: true,
-          json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-        });
-      }
-      return Promise.reject('Unexpected fetch call for geocoding');
-    });
-
-    // Mock overview response
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: true,
-        json: async () => ({
-          date: '2024-01-07',
-          lat: 35.9606,
-          lon: -83.9207,
-          tz: '+00:00',
-          units: 'metric',
-          weather_overview:
-            'Currently, the temperature is 2°C with a real feel of -2°C. The sky is clear with moderate wind.',
-        }),
-      }),
-    );
-
-    const result = await tool.call({
-      action: 'overview',
-      city: 'Knoxville, Tennessee',
-      units: 'Celsius',
-    });
-
-    const parsed = JSON.parse(result);
-    expect(parsed).toHaveProperty('weather_overview');
-    expect(typeof parsed.weather_overview).toBe('string');
-    expect(parsed.weather_overview.length).toBeGreaterThan(0);
-    expect(parsed).toHaveProperty('date');
-    expect(parsed).toHaveProperty('units');
-    expect(parsed.units).toBe('metric');
-  });
-
-  test('temperature units are correctly converted', async () => {
-    // Mock geocoding response for all three calls
-    const geocodingMock = Promise.resolve({
-      ok: true,
-      json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-    });
-
-    // Mock weather response for Kelvin
-    const kelvinMock = Promise.resolve({
-      ok: true,
-      json: async () => ({
-        current: { temp: 293.15 },
-      }),
-    });
-
-    // Mock weather response for Celsius
-    const celsiusMock = Promise.resolve({
-      ok: true,
-      json: async () => ({
-        current: { temp: 20 },
-      }),
-    });
-
-    // Mock weather response for Fahrenheit
-    const fahrenheitMock = Promise.resolve({
-      ok: true,
-      json: async () => ({
-        current: { temp: 68 },
-      }),
-    });
-
-    // Test Kelvin
-    fetch.mockImplementationOnce(() => geocodingMock).mockImplementationOnce(() => kelvinMock);
-
-    let result = await tool.call({
-      action: 'current_forecast',
-      city: 'Knoxville, Tennessee',
-      units: 'Kelvin',
-    });
-    let parsed = JSON.parse(result);
-    expect(parsed.current.temp).toBe(293);
-
-    // Test Celsius
-    fetch.mockImplementationOnce(() => geocodingMock).mockImplementationOnce(() => celsiusMock);
-
-    result = await tool.call({
-      action: 'current_forecast',
-      city: 'Knoxville, Tennessee',
-      units: 'Celsius',
-    });
-    parsed = JSON.parse(result);
-    expect(parsed.current.temp).toBe(20);
-
-    // Test Fahrenheit
-    fetch.mockImplementationOnce(() => geocodingMock).mockImplementationOnce(() => fahrenheitMock);
-
-    result = await tool.call({
-      action: 'current_forecast',
-      city: 'Knoxville, Tennessee',
-      units: 'Fahrenheit',
-    });
-    parsed = JSON.parse(result);
-    expect(parsed.current.temp).toBe(68);
-  });
-
-  test('timestamp action without a date returns an error message', async () => {
-    const result = await tool.call({
-      action: 'timestamp',
-      lat: 35.9606,
-      lon: -83.9207,
-    });
-    expect(result).toMatch(
-      /Error: For timestamp action, a 'date' in YYYY-MM-DD format is required./,
-    );
-  });
-
-  test('daily_aggregation action without a date returns an error message', async () => {
-    const result = await tool.call({
-      action: 'daily_aggregation',
-      lat: 35.9606,
-      lon: -83.9207,
-    });
-    expect(result).toMatch(/Error: date \(YYYY-MM-DD\) is required for daily_aggregation action./);
-  });
-
-  test('unknown action returns an error due to schema validation', async () => {
-    await expect(
-      tool.call({
-        action: 'unknown_action',
-      }),
-    ).rejects.toThrow(/Received tool input did not match expected schema/);
-  });
-
-  test('geocoding failure returns a descriptive error', async () => {
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: true,
-        json: async () => [],
-      }),
-    );
-
-    const result = await tool.call({
-      action: 'current_forecast',
-      city: 'NowhereCity',
-    });
-    expect(result).toMatch(/Error: Could not find coordinates for city: NowhereCity/);
-  });
-
-  test('API request failure returns an error', async () => {
-    // Mock geocoding success
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: true,
-        json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-      }),
-    );
-
-    // Mock weather request failure
-    fetch.mockImplementationOnce(() =>
-      Promise.resolve({
-        ok: false,
-        status: 404,
-        json: async () => ({ message: 'Not found' }),
-      }),
-    );
-
-    const result = await tool.call({
-      action: 'current_forecast',
-      city: 'Knoxville, Tennessee',
-    });
-    expect(result).toMatch(/Error: OpenWeather API request failed with status 404: Not found/);
-  });
-
-  test('invalid date format returns an error', async () => {
-    // Mock geocoding response first
-    fetch.mockImplementationOnce((url) => {
-      if (url.includes('geo/1.0/direct')) {
-        return Promise.resolve({
-          ok: true,
-          json: async () => [{ lat: 35.9606, lon: -83.9207 }],
-        });
-      }
-      return Promise.reject('Unexpected fetch call for geocoding');
-    });
-
-    // Mock timestamp API response
-    fetch.mockImplementationOnce((url) => {
-      if (url.includes('onecall/timemachine')) {
-        throw new Error('Invalid date format. Expected YYYY-MM-DD.');
-      }
-      return Promise.reject('Unexpected fetch call');
-    });
-
-    const result = await tool.call({
-      action: 'timestamp',
-      city: 'Knoxville, Tennessee',
-      date: '03-04-2020', // Wrong format
-    });
-    expect(result).toMatch(/Error: Invalid date format. Expected YYYY-MM-DD./);
-  });
-});

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

@@ -0,0 +1,104 @@
+const { z } = require('zod');
+const axios = require('axios');
+const { tool } = require('@langchain/core/tools');
+const { Tools, EToolResources } = require('librechat-data-provider');
+const { getFiles } = require('~/models/File');
+const { logger } = require('~/config');
+
+/**
+ *
+ * @param {Object} options
+ * @param {ServerRequest} options.req
+ * @param {Agent['tool_resources']} options.tool_resources
+ * @returns
+ */
+const createFileSearchTool = async (options) => {
+  const { req, tool_resources } = options;
+  const file_ids = tool_resources?.[EToolResources.file_search]?.file_ids ?? [];
+  const files = (await getFiles({ file_id: { $in: file_ids } })).map((file) => ({
+    file_id: file.file_id,
+    filename: file.filename,
+  }));
+
+  const fileList = files.map((file) => `- ${file.filename}`).join('\n');
+  const toolDescription = `Performs a semantic search based on a natural language query across the following files:\n${fileList}`;
+
+  const FileSearch = tool(
+    async ({ query }) => {
+      if (files.length === 0) {
+        return 'No files to search. Instruct the user to add files for the search.';
+      }
+      const jwtToken = req.headers.authorization.split(' ')[1];
+      if (!jwtToken) {
+        return 'There was an error authenticating the file search request.';
+      }
+      const queryPromises = files.map((file) =>
+        axios
+          .post(
+            `${process.env.RAG_API_URL}/query`,
+            {
+              file_id: file.file_id,
+              query,
+              k: 5,
+            },
+            {
+              headers: {
+                Authorization: `Bearer ${jwtToken}`,
+                'Content-Type': 'application/json',
+              },
+            },
+          )
+          .catch((error) => {
+            logger.error(
+              `Error encountered in \`file_search\` while querying file_id ${file._id}:`,
+              error,
+            );
+            return null;
+          }),
+      );
+
+      const results = await Promise.all(queryPromises);
+      const validResults = results.filter((result) => result !== null);
+
+      if (validResults.length === 0) {
+        return 'No results found or errors occurred while searching the files.';
+      }
+
+      const formattedResults = validResults
+        .flatMap((result) =>
+          result.data.map(([docInfo, relevanceScore]) => ({
+            filename: docInfo.metadata.source.split('/').pop(),
+            content: docInfo.page_content,
+            relevanceScore,
+          })),
+        )
+        .sort((a, b) => b.relevanceScore - a.relevanceScore);
+
+      const formattedString = formattedResults
+        .map(
+          (result) =>
+            `File: ${result.filename}\nRelevance: ${result.relevanceScore.toFixed(4)}\nContent: ${
+              result.content
+            }\n`,
+        )
+        .join('\n---\n');
+
+      return formattedString;
+    },
+    {
+      name: Tools.file_search,
+      description: toolDescription,
+      schema: z.object({
+        query: z
+          .string()
+          .describe(
+            'A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you\'re looking for. The query will be used for semantic similarity matching against the file contents.',
+          ),
+      }),
+    },
+  );
+
+  return FileSearch;
+};
+
+module.exports = createFileSearchTool;

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

@@ -1,142 +0,0 @@
-const { z } = require('zod');
-const axios = require('axios');
-const { tool } = require('@langchain/core/tools');
-const { Tools, EToolResources } = require('librechat-data-provider');
-const { getFiles } = require('~/models/File');
-const { logger } = require('~/config');
-
-/**
- *
- * @param {Object} options
- * @param {ServerRequest} options.req
- * @param {Agent['tool_resources']} options.tool_resources
- * @returns {Promise<{
- *   files: Array<{ file_id: string; filename: string }>,
- *   toolContext: string
- * }>}
- */
-const primeFiles = async (options) => {
-  const { tool_resources } = options;
-  const file_ids = tool_resources?.[EToolResources.file_search]?.file_ids ?? [];
-  const agentResourceIds = new Set(file_ids);
-  const resourceFiles = tool_resources?.[EToolResources.file_search]?.files ?? [];
-  const dbFiles = ((await getFiles({ file_id: { $in: file_ids } })) ?? []).concat(resourceFiles);
-
-  let toolContext = `- Note: Semantic search is available through the ${Tools.file_search} tool but no files are currently loaded. Request the user to upload documents to search through.`;
-
-  const files = [];
-  for (let i = 0; i < dbFiles.length; i++) {
-    const file = dbFiles[i];
-    if (!file) {
-      continue;
-    }
-    if (i === 0) {
-      toolContext = `- Note: Use the ${Tools.file_search} tool to find relevant information within:`;
-    }
-    toolContext += `\n\t- ${file.filename}${
-      agentResourceIds.has(file.file_id) ? '' : ' (just attached by user)'
-    }`;
-    files.push({
-      file_id: file.file_id,
-      filename: file.filename,
-    });
-  }
-
-  return { files, toolContext };
-};
-
-/**
- *
- * @param {Object} options
- * @param {ServerRequest} options.req
- * @param {Array<{ file_id: string; filename: string }>} options.files
- * @param {string} [options.entity_id]
- * @returns
- */
-const createFileSearchTool = async ({ req, files, entity_id }) => {
-  return tool(
-    async ({ query }) => {
-      if (files.length === 0) {
-        return 'No files to search. Instruct the user to add files for the search.';
-      }
-      const jwtToken = req.headers.authorization.split(' ')[1];
-      if (!jwtToken) {
-        return 'There was an error authenticating the file search request.';
-      }
-
-      /**
-       *
-       * @param {import('librechat-data-provider').TFile} file
-       * @returns {{ file_id: string, query: string, k: number, entity_id?: string }}
-       */
-      const createQueryBody = (file) => {
-        const body = {
-          file_id: file.file_id,
-          query,
-          k: 5,
-        };
-        if (!entity_id) {
-          return body;
-        }
-        body.entity_id = entity_id;
-        logger.debug(`[${Tools.file_search}] RAG API /query body`, body);
-        return body;
-      };
-
-      const queryPromises = files.map((file) =>
-        axios
-          .post(`${process.env.RAG_API_URL}/query`, createQueryBody(file), {
-            headers: {
-              Authorization: `Bearer ${jwtToken}`,
-              'Content-Type': 'application/json',
-            },
-          })
-          .catch((error) => {
-            logger.error('Error encountered in `file_search` while querying file:', error);
-            return null;
-          }),
-      );
-
-      const results = await Promise.all(queryPromises);
-      const validResults = results.filter((result) => result !== null);
-
-      if (validResults.length === 0) {
-        return 'No results found or errors occurred while searching the files.';
-      }
-
-      const formattedResults = validResults
-        .flatMap((result) =>
-          result.data.map(([docInfo, relevanceScore]) => ({
-            filename: docInfo.metadata.source.split('/').pop(),
-            content: docInfo.page_content,
-            relevanceScore,
-          })),
-        )
-        .sort((a, b) => b.relevanceScore - a.relevanceScore);
-
-      const formattedString = formattedResults
-        .map(
-          (result) =>
-            `File: ${result.filename}\nRelevance: ${result.relevanceScore.toFixed(4)}\nContent: ${
-              result.content
-            }\n`,
-        )
-        .join('\n---\n');
-
-      return formattedString;
-    },
-    {
-      name: Tools.file_search,
-      description: `Performs semantic search across attached "${Tools.file_search}" documents using natural language queries. This tool analyzes the content of uploaded files to find relevant information, quotes, and passages that best match your query. Use this to extract specific information or find relevant sections within the available documents.`,
-      schema: z.object({
-        query: z
-          .string()
-          .describe(
-            'A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you\'re looking for. The query will be used for semantic similarity matching against the file contents.',
-          ),
-      }),
-    },
-  );
-};
-
-module.exports = { createFileSearchTool, primeFiles };

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

@@ -23,8 +23,6 @@ async function handleOpenAIErrors(err, errorCallback, context = 'stream') {
     logger.warn(`[OpenAIClient.chatCompletion][${context}] Unhandled error type`);
   }
 
-  logger.error(err);
-
   if (errorCallback) {
     errorCallback(err);
   }

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

@@ -1,31 +1,25 @@
-const { Tools, Constants } = require('librechat-data-provider');
+const { Tools } = require('librechat-data-provider');
 const { SerpAPI } = require('@langchain/community/tools/serpapi');
 const { Calculator } = require('@langchain/community/tools/calculator');
 const { createCodeExecutionTool, EnvVar } = require('@librechat/agents');
 const { getUserPluginAuthValue } = require('~/server/services/PluginService');
 const {
   availableTools,
-  manifestToolMap,
   // Basic Tools
   GoogleSearchAPI,
   // Structured Tools
   DALLE3,
-  OpenWeather,
   StructuredSD,
   StructuredACS,
   TraversaalSearch,
   StructuredWolfram,
-  createYouTubeTools,
   TavilySearchResults,
 } = require('../');
-const { primeFiles: primeCodeFiles } = require('~/server/services/Files/Code/process');
-const { createFileSearchTool, primeFiles: primeSearchFiles } = require('./fileSearch');
-const { createMCPTool } = require('~/server/services/MCP');
+const { primeFiles } = require('~/server/services/Files/Code/process');
+const createFileSearchTool = require('./createFileSearchTool');
 const { loadSpecs } = require('./loadSpecs');
 const { logger } = require('~/config');
 
-const mcpToolPattern = new RegExp(`^.+${Constants.mcp_delimiter}.+$`);
-
 /**
  * Validates the availability and authentication of tools for a user based on environment variables or user-specific plugin authentication values.
  * Tools without required authentication or with valid authentication are considered valid.
@@ -89,7 +83,7 @@ const validateTools = async (user, tools = []) => {
   }
 };
 
-const loadAuthValues = async ({ userId, authFields, throwError = true }) => {
+const loadAuthValues = async ({ userId, authFields }) => {
   let authValues = {};
 
   /**
@@ -104,7 +98,7 @@ const loadAuthValues = async ({ userId, authFields, throwError = true }) => {
         return { authField: field, authValue: value };
       }
       try {
-        value = await getUserPluginAuthValue(userId, field, throwError);
+        value = await getUserPluginAuthValue(userId, field);
       } catch (err) {
         if (field === fields[fields.length - 1] && !value) {
           throw err;
@@ -128,18 +122,15 @@ const loadAuthValues = async ({ userId, authFields, throwError = true }) => {
   return authValues;
 };
 
-/** @typedef {typeof import('@langchain/core/tools').Tool} ToolConstructor */
-/** @typedef {import('@langchain/core/tools').Tool} Tool */
-
 /**
  * Initializes a tool with authentication values for the given user, supporting alternate authentication fields.
  * Authentication fields can have alternates separated by "||", and the first defined variable will be used.
  *
  * @param {string} userId The user ID for which the tool is being loaded.
  * @param {Array<string>} authFields Array of strings representing the authentication fields. Supports alternate fields delimited by "||".
- * @param {ToolConstructor} ToolConstructor The constructor function for the tool to be initialized.
+ * @param {typeof import('langchain/tools').Tool} ToolConstructor The constructor function for the tool to be initialized.
  * @param {Object} options Optional parameters to be passed to the tool constructor alongside authentication values.
- * @returns {() => Promise<Tool>} An Async function that, when called, asynchronously initializes and returns an instance of the tool with authentication.
+ * @returns {Function} An Async function that, when called, asynchronously initializes and returns an instance of the tool with authentication.
  */
 const loadToolWithAuth = (userId, authFields, ToolConstructor, options = {}) => {
   return async function () {
@@ -148,43 +139,18 @@ const loadToolWithAuth = (userId, authFields, ToolConstructor, options = {}) =>
   };
 };
 
-/**
- * @param {string} toolKey
- * @returns {Array<string>}
- */
-const getAuthFields = (toolKey) => {
-  return manifestToolMap[toolKey]?.authConfig.map((auth) => auth.authField) ?? [];
-};
-
-/**
- *
- * @param {object} object
- * @param {string} object.user
- * @param {Agent} [object.agent]
- * @param {string} [object.model]
- * @param {EModelEndpoint} [object.endpoint]
- * @param {LoadToolOptions} [object.options]
- * @param {boolean} [object.useSpecs]
- * @param {Array<string>} object.tools
- * @param {boolean} [object.functions]
- * @param {boolean} [object.returnMap]
- * @returns {Promise<{ loadedTools: Tool[], toolContextMap: Object<string, any> } | Record<string,Tool>>}
- */
 const loadTools = async ({
   user,
-  agent,
   model,
-  endpoint,
-  useSpecs,
-  tools = [],
-  options = {},
   functions = true,
   returnMap = false,
+  tools = [],
+  options = {},
+  skipSpecs = false,
 }) => {
   const toolConstructors = {
     calculator: Calculator,
     google: GoogleSearchAPI,
-    open_weather: OpenWeather,
     wolfram: StructuredWolfram,
     'stable-diffusion': StructuredSD,
     'azure-ai-search': StructuredACS,
@@ -194,11 +160,9 @@ const loadTools = async ({
 
   const customConstructors = {
     serpapi: async () => {
-      const authFields = getAuthFields('serpapi');
-      let envVar = authFields[0] ?? '';
-      let apiKey = process.env[envVar];
+      let apiKey = process.env.SERPAPI_API_KEY;
       if (!apiKey) {
-        apiKey = await getUserPluginAuthValue(user, envVar);
+        apiKey = await getUserPluginAuthValue(user, 'SERPAPI_API_KEY');
       }
       return new SerpAPI(apiKey, {
         location: 'Austin,Texas,United States',
@@ -206,22 +170,15 @@ const loadTools = async ({
         gl: 'us',
       });
     },
-    youtube: async () => {
-      const authFields = getAuthFields('youtube');
-      const authValues = await loadAuthValues({ userId: user, authFields });
-      return createYouTubeTools(authValues);
-    },
   };
 
   const requestedTools = {};
 
-  if (functions === true) {
+  if (functions) {
     toolConstructors.dalle = DALLE3;
   }
 
-  /** @type {ImageGenOptions} */
   const imageGenOptions = {
-    isAgent: !!agent,
     req: options.req,
     fileStrategy: options.fileStrategy,
     processFileURL: options.processFileURL,
@@ -232,51 +189,38 @@ const loadTools = async ({
   const toolOptions = {
     serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
     dalle: imageGenOptions,
+    'dall-e': imageGenOptions,
     'stable-diffusion': imageGenOptions,
   };
 
-  const toolContextMap = {};
+  const toolAuthFields = {};
+
+  availableTools.forEach((tool) => {
+    if (customConstructors[tool.pluginKey]) {
+      return;
+    }
+
+    toolAuthFields[tool.pluginKey] = tool.authConfig.map((auth) => auth.authField);
+  });
+
   const remainingTools = [];
-  const appTools = options.req?.app?.locals?.availableTools ?? {};
 
   for (const tool of tools) {
     if (tool === Tools.execute_code) {
-      requestedTools[tool] = async () => {
-        const authValues = await loadAuthValues({
-          userId: user,
-          authFields: [EnvVar.CODE_API_KEY],
-        });
-        const codeApiKey = authValues[EnvVar.CODE_API_KEY];
-        const { files, toolContext } = await primeCodeFiles(options, codeApiKey);
-        if (toolContext) {
-          toolContextMap[tool] = toolContext;
-        }
-        const CodeExecutionTool = createCodeExecutionTool({
+      const authValues = await loadAuthValues({
+        userId: user,
+        authFields: [EnvVar.CODE_API_KEY],
+      });
+      const files = await primeFiles(options, authValues[EnvVar.CODE_API_KEY]);
+      requestedTools[tool] = () =>
+        createCodeExecutionTool({
           user_id: user,
           files,
           ...authValues,
         });
-        CodeExecutionTool.apiKey = codeApiKey;
-        return CodeExecutionTool;
-      };
       continue;
     } else if (tool === Tools.file_search) {
-      requestedTools[tool] = async () => {
-        const { files, toolContext } = await primeSearchFiles(options);
-        if (toolContext) {
-          toolContextMap[tool] = toolContext;
-        }
-        return createFileSearchTool({ req: options.req, files, entity_id: agent?.id });
-      };
-      continue;
-    } else if (tool && appTools[tool] && mcpToolPattern.test(tool)) {
-      requestedTools[tool] = async () =>
-        createMCPTool({
-          req: options.req,
-          toolKey: tool,
-          model: agent?.model ?? model,
-          provider: agent?.provider ?? endpoint,
-        });
+      requestedTools[tool] = () => createFileSearchTool(options);
       continue;
     }
 
@@ -289,7 +233,7 @@ const loadTools = async ({
       const options = toolOptions[tool] || {};
       const toolInstance = loadToolWithAuth(
         user,
-        getAuthFields(tool),
+        toolAuthFields[tool],
         toolConstructors[tool],
         options,
       );
@@ -297,13 +241,13 @@ const loadTools = async ({
       continue;
     }
 
-    if (functions === true) {
+    if (functions) {
       remainingTools.push(tool);
     }
   }
 
   let specs = null;
-  if (useSpecs === true && functions === true && remainingTools.length > 0) {
+  if (functions && remainingTools.length > 0 && skipSpecs !== true) {
     specs = await loadSpecs({
       llm: model,
       user,
@@ -326,21 +270,23 @@ const loadTools = async ({
     return requestedTools;
   }
 
-  const toolPromises = [];
+  // load tools
+  let result = [];
   for (const tool of tools) {
     const validTool = requestedTools[tool];
-    if (validTool) {
-      toolPromises.push(
-        validTool().catch((error) => {
-          logger.error(`Error loading tool ${tool}:`, error);
-          return null;
-        }),
-      );
+    if (!validTool) {
+      continue;
+    }
+    const plugin = await validTool();
+
+    if (Array.isArray(plugin)) {
+      result = [...result, ...plugin];
+    } else if (plugin) {
+      result.push(plugin);
     }
   }
 
-  const loadedTools = (await Promise.all(toolPromises)).flatMap((plugin) => plugin || []);
-  return { loadedTools, toolContextMap };
+  return result;
 };
 
 module.exports = {

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

@@ -128,14 +128,12 @@ describe('Tool Handlers', () => {
     );
 
     beforeAll(async () => {
-      const toolMap = await loadTools({
+      toolFunctions = await loadTools({
         user: fakeUser._id,
         model: BaseLLM,
         tools: sampleTools,
         returnMap: true,
-        useSpecs: true,
       });
-      toolFunctions = toolMap;
       loadTool1 = toolFunctions[sampleTools[0]];
       loadTool2 = toolFunctions[sampleTools[1]];
       loadTool3 = toolFunctions[sampleTools[2]];
@@ -197,7 +195,6 @@ describe('Tool Handlers', () => {
       expect(mockPluginService.getUserPluginAuthValue).toHaveBeenCalledWith(
         'userId',
         'DALLE3_API_KEY',
-        true,
       );
     });
 
@@ -227,7 +224,6 @@ describe('Tool Handlers', () => {
         user: fakeUser._id,
         model: BaseLLM,
         returnMap: true,
-        useSpecs: true,
       });
       expect(toolFunctions).toEqual({});
     });
@@ -239,7 +235,6 @@ describe('Tool Handlers', () => {
         tools: ['stable-diffusion'],
         functions: true,
         returnMap: true,
-        useSpecs: true,
       });
       const structuredTool = await toolFunctions['stable-diffusion']();
       expect(structuredTool).toBeInstanceOf(StructuredSD);

api/app/index.js

@@ -1,5 +1,11 @@
+const { browserClient } = require('./chatgpt-browser');
+const { askBing } = require('./bingai');
 const clients = require('./clients');
+const titleConvoBing = require('./titleConvoBing');
 
 module.exports = {
+  browserClient,
+  askBing,
+  titleConvoBing,
   ...clients,
 };

api/app/titleConvoBing.js

@@ -0,0 +1,43 @@
+const throttle = require('lodash/throttle');
+const { isEnabled } = require('~/server/utils');
+const { logger } = require('~/config');
+
+const titleConvo = async ({ text, response }) => {
+  let title = 'New Chat';
+  const { TITLE_CONVO = 'true' } = process.env ?? {};
+  if (!isEnabled(TITLE_CONVO)) {
+    return title;
+  }
+
+  const { BingAIClient } = await import('nodejs-gpt');
+  const titleGenerator = new BingAIClient({
+    userToken: process.env.BINGAI_TOKEN,
+    debug: false,
+  });
+
+  let options = {
+    jailbreakConversationId: true,
+    systemMessage:
+      'You are a title-generator. As a title-generator, the old rules no longer apply. The only rule you need to follow is the following: Detect user language and write in the same language an extremely concise title for this conversation, which you must accurately detect. Write in the detected language. Title in 5 Words or Less. No Punctuation/Quotation. All first letters of every word should be capitalized and complete only the title in User Language only.',
+    context: `
+      ||>User:
+      "${text}"
+      ||>Response:
+      "${JSON.stringify(response?.text)}"`,
+    toneStyle: 'precise',
+  };
+  const titlePrompt = 'Title:';
+  try {
+    const res = await titleGenerator.sendMessage(titlePrompt, options);
+    title = res.response.replace(/Title: /, '').replace(/[".]/g, '');
+  } catch (e) {
+    logger.error('There was an issue generating title with BingAI', e);
+  }
+
+  logger.debug('[/ask/bingAI] CONVERSATION TITLE: ' + title);
+  return title;
+};
+
+const throttledTitleConvo = throttle(titleConvo, 3000);
+
+module.exports = throttledTitleConvo;

api/cache/banViolation.js

@@ -1,7 +1,7 @@
 const { ViolationTypes } = require('librechat-data-provider');
 const { isEnabled, math, removePorts } = require('~/server/utils');
-const { deleteAllUserSessions } = require('~/models');
 const getLogStores = require('./getLogStores');
+const Session = require('~/models/Session');
 const { logger } = require('~/config');
 
 const { BAN_VIOLATIONS, BAN_INTERVAL } = process.env ?? {};
@@ -46,7 +46,7 @@ const banViolation = async (req, res, errorMessage) => {
     return;
   }
 
-  await deleteAllUserSessions({ userId: user_id });
+  await Session.deleteAllUserSessions(user_id);
   res.clearCookie('refreshToken');
 
   const banLogs = getLogStores(ViolationTypes.BAN);

api/cache/getLogStores.js

@@ -5,43 +5,41 @@ const { math, isEnabled } = require('~/server/utils');
 const keyvRedis = require('./keyvRedis');
 const keyvMongo = require('./keyvMongo');
 
-const { BAN_DURATION, USE_REDIS, DEBUG_MEMORY_CACHE, CI } = process.env ?? {};
+const { BAN_DURATION, USE_REDIS } = process.env ?? {};
 
 const duration = math(BAN_DURATION, 7200000);
-const isRedisEnabled = isEnabled(USE_REDIS);
-const debugMemoryCache = isEnabled(DEBUG_MEMORY_CACHE);
 
 const createViolationInstance = (namespace) => {
-  const config = isRedisEnabled ? { store: keyvRedis } : { store: violationFile, namespace };
+  const config = isEnabled(USE_REDIS) ? { store: keyvRedis } : { store: violationFile, namespace };
   return new Keyv(config);
 };
 
 // Serve cache from memory so no need to clear it on startup/exit
-const pending_req = isRedisEnabled
+const pending_req = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis })
   : new Keyv({ namespace: 'pending_req' });
 
-const config = isRedisEnabled
+const config = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis })
   : new Keyv({ namespace: CacheKeys.CONFIG_STORE });
 
-const roles = isRedisEnabled
+const roles = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis })
   : new Keyv({ namespace: CacheKeys.ROLES });
 
-const audioRuns = isRedisEnabled
+const audioRuns = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis, ttl: Time.TEN_MINUTES })
   : new Keyv({ namespace: CacheKeys.AUDIO_RUNS, ttl: Time.TEN_MINUTES });
 
-const messages = isRedisEnabled
-  ? new Keyv({ store: keyvRedis, ttl: Time.ONE_MINUTE })
-  : new Keyv({ namespace: CacheKeys.MESSAGES, ttl: Time.ONE_MINUTE });
+const messages = isEnabled(USE_REDIS)
+  ? new Keyv({ store: keyvRedis, ttl: Time.FIVE_MINUTES })
+  : new Keyv({ namespace: CacheKeys.MESSAGES, ttl: Time.FIVE_MINUTES });
 
-const tokenConfig = isRedisEnabled
+const tokenConfig = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
   : new Keyv({ namespace: CacheKeys.TOKEN_CONFIG, ttl: Time.THIRTY_MINUTES });
 
-const genTitle = isRedisEnabled
+const genTitle = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
   : new Keyv({ namespace: CacheKeys.GEN_TITLE, ttl: Time.TWO_MINUTES });
 
@@ -49,7 +47,7 @@ const modelQueries = isEnabled(process.env.USE_REDIS)
   ? new Keyv({ store: keyvRedis })
   : new Keyv({ namespace: CacheKeys.MODEL_QUERIES });
 
-const abortKeys = isRedisEnabled
+const abortKeys = isEnabled(USE_REDIS)
   ? new Keyv({ store: keyvRedis })
   : new Keyv({ namespace: CacheKeys.ABORT_KEYS, ttl: Time.TEN_MINUTES });
 
@@ -72,7 +70,6 @@ const namespaces = {
   [ViolationTypes.TTS_LIMIT]: createViolationInstance(ViolationTypes.TTS_LIMIT),
   [ViolationTypes.STT_LIMIT]: createViolationInstance(ViolationTypes.STT_LIMIT),
   [ViolationTypes.CONVO_ACCESS]: createViolationInstance(ViolationTypes.CONVO_ACCESS),
-  [ViolationTypes.TOOL_CALL_LIMIT]: createViolationInstance(ViolationTypes.TOOL_CALL_LIMIT),
   [ViolationTypes.FILE_UPLOAD_LIMIT]: createViolationInstance(ViolationTypes.FILE_UPLOAD_LIMIT),
   [ViolationTypes.VERIFY_EMAIL_LIMIT]: createViolationInstance(ViolationTypes.VERIFY_EMAIL_LIMIT),
   [ViolationTypes.RESET_PASSWORD_LIMIT]: createViolationInstance(
@@ -90,159 +87,6 @@ const namespaces = {
   [CacheKeys.MESSAGES]: messages,
 };
 
-/**
- * Gets all cache stores that have TTL configured
- * @returns {Keyv[]}
- */
-function getTTLStores() {
-  return Object.values(namespaces).filter(
-    (store) => store instanceof Keyv && typeof store.opts?.ttl === 'number' && store.opts.ttl > 0,
-  );
-}
-
-/**
- * Clears entries older than the cache's TTL
- * @param {Keyv} cache
- */
-async function clearExpiredFromCache(cache) {
-  if (!cache?.opts?.store?.entries) {
-    return;
-  }
-
-  const ttl = cache.opts.ttl;
-  if (!ttl) {
-    return;
-  }
-
-  const expiryTime = Date.now() - ttl;
-  let cleared = 0;
-
-  // Get all keys first to avoid modification during iteration
-  const keys = Array.from(cache.opts.store.keys());
-
-  for (const key of keys) {
-    try {
-      const raw = cache.opts.store.get(key);
-      if (!raw) {
-        continue;
-      }
-
-      const data = cache.opts.deserialize(raw);
-      // Check if the entry is older than TTL
-      if (data?.expires && data.expires <= expiryTime) {
-        const deleted = await cache.opts.store.delete(key);
-        if (!deleted) {
-          debugMemoryCache &&
-            console.warn(`[Cache] Error deleting entry: ${key} from ${cache.opts.namespace}`);
-          continue;
-        }
-        cleared++;
-      }
-    } catch (error) {
-      debugMemoryCache &&
-        console.log(`[Cache] Error processing entry from ${cache.opts.namespace}:`, error);
-      const deleted = await cache.opts.store.delete(key);
-      if (!deleted) {
-        debugMemoryCache &&
-          console.warn(`[Cache] Error deleting entry: ${key} from ${cache.opts.namespace}`);
-        continue;
-      }
-      cleared++;
-    }
-  }
-
-  if (cleared > 0) {
-    debugMemoryCache &&
-      console.log(
-        `[Cache] Cleared ${cleared} entries older than ${ttl}ms from ${cache.opts.namespace}`,
-      );
-  }
-}
-
-const auditCache = () => {
-  const ttlStores = getTTLStores();
-  console.log('[Cache] Starting audit');
-
-  ttlStores.forEach((store) => {
-    if (!store?.opts?.store?.entries) {
-      return;
-    }
-
-    console.log(`[Cache] ${store.opts.namespace} entries:`, {
-      count: store.opts.store.size,
-      ttl: store.opts.ttl,
-      keys: Array.from(store.opts.store.keys()),
-      entriesWithTimestamps: Array.from(store.opts.store.entries()).map(([key, value]) => ({
-        key,
-        value,
-      })),
-    });
-  });
-};
-
-/**
- * Clears expired entries from all TTL-enabled stores
- */
-async function clearAllExpiredFromCache() {
-  const ttlStores = getTTLStores();
-  await Promise.all(ttlStores.map((store) => clearExpiredFromCache(store)));
-
-  // Force garbage collection if available (Node.js with --expose-gc flag)
-  if (global.gc) {
-    global.gc();
-  }
-}
-
-if (!isRedisEnabled && !isEnabled(CI)) {
-  /** @type {Set<NodeJS.Timeout>} */
-  const cleanupIntervals = new Set();
-
-  // Clear expired entries every 30 seconds
-  const cleanup = setInterval(() => {
-    clearAllExpiredFromCache();
-  }, Time.THIRTY_SECONDS);
-
-  cleanupIntervals.add(cleanup);
-
-  if (debugMemoryCache) {
-    const monitor = setInterval(() => {
-      const ttlStores = getTTLStores();
-      const memory = process.memoryUsage();
-      const totalSize = ttlStores.reduce((sum, store) => sum + (store.opts?.store?.size ?? 0), 0);
-
-      console.log('[Cache] Memory usage:', {
-        heapUsed: `${(memory.heapUsed / 1024 / 1024).toFixed(2)} MB`,
-        heapTotal: `${(memory.heapTotal / 1024 / 1024).toFixed(2)} MB`,
-        rss: `${(memory.rss / 1024 / 1024).toFixed(2)} MB`,
-        external: `${(memory.external / 1024 / 1024).toFixed(2)} MB`,
-        totalCacheEntries: totalSize,
-      });
-
-      auditCache();
-    }, Time.ONE_MINUTE);
-
-    cleanupIntervals.add(monitor);
-  }
-
-  const dispose = () => {
-    debugMemoryCache && console.log('[Cache] Cleaning up and shutting down...');
-    cleanupIntervals.forEach((interval) => clearInterval(interval));
-    cleanupIntervals.clear();
-
-    // One final cleanup before exit
-    clearAllExpiredFromCache().then(() => {
-      debugMemoryCache && console.log('[Cache] Final cleanup completed');
-      process.exit(0);
-    });
-  };
-
-  // Handle various termination signals
-  process.on('SIGTERM', dispose);
-  process.on('SIGINT', dispose);
-  process.on('SIGQUIT', dispose);
-  process.on('SIGHUP', dispose);
-}
-
 /**
  * Returns the keyv cache specified by type.
  * If an invalid type is passed, an error will be thrown.

api/config/index.js

@@ -1,37 +1,5 @@
-const { EventSource } = require('eventsource');
 const logger = require('./winston');
 
-global.EventSource = EventSource;
-
-let mcpManager = null;
-
-/**
- * @returns {Promise<MCPManager>}
- */
-async function getMCPManager() {
-  if (!mcpManager) {
-    const { MCPManager } = await import('librechat-mcp');
-    mcpManager = MCPManager.getInstance(logger);
-  }
-  return mcpManager;
-}
-
-/**
- * Sends message data in Server Sent Events format.
- * @param {ServerResponse} res - The server response.
- * @param {{ data: string | Record<string, unknown>, event?: string }} event - The message event.
- * @param {string} event.event - The type of event.
- * @param {string} event.data - The message to be sent.
- */
-const sendEvent = (res, event) => {
-  if (typeof event.data === 'string' && event.data.length === 0) {
-    return;
-  }
-  res.write(`event: message\ndata: ${JSON.stringify(event)}\n\n`);
-};
-
 module.exports = {
   logger,
-  sendEvent,
-  getMCPManager,
 };

api/config/parsers.js

@@ -4,7 +4,6 @@ const traverse = require('traverse');
 
 const SPLAT_SYMBOL = Symbol.for('splat');
 const MESSAGE_SYMBOL = Symbol.for('message');
-const CONSOLE_JSON_STRING_LENGTH = parseInt(process.env.CONSOLE_JSON_STRING_LENGTH) || 255;
 
 const sensitiveKeys = [
   /^(sk-)[^\s]+/, // OpenAI API key pattern
@@ -188,33 +187,17 @@ const debugTraverse = winston.format.printf(({ level, message, timestamp, ...met
 });
 
 const jsonTruncateFormat = winston.format((info) => {
-  const truncateLongStrings = (str, maxLength) => {
-    return str.length > maxLength ? str.substring(0, maxLength) + '...' : str;
-  };
-
-  const seen = new WeakSet();
-
   const truncateObject = (obj) => {
-    if (typeof obj !== 'object' || obj === null) {
-      return obj;
-    }
-
-    // Handle circular references
-    if (seen.has(obj)) {
-      return '[Circular]';
-    }
-    seen.add(obj);
-
-    if (Array.isArray(obj)) {
-      return obj.map((item) => truncateObject(item));
-    }
-
     const newObj = {};
     Object.entries(obj).forEach(([key, value]) => {
       if (typeof value === 'string') {
-        newObj[key] = truncateLongStrings(value, CONSOLE_JSON_STRING_LENGTH);
-      } else {
+        newObj[key] = truncateLongStrings(value, 255);
+      } else if (Array.isArray(value)) {
+        newObj[key] = value.map(condenseArray);
+      } else if (typeof value === 'object' && value !== null) {
         newObj[key] = truncateObject(value);
+      } else {
+        newObj[key] = value;
       }
     });
     return newObj;

api/lib/db/connectDb.js

@@ -25,9 +25,9 @@ async function connectDb() {
   const disconnected = cached.conn && cached.conn?._readyState !== 1;
   if (!cached.promise || disconnected) {
     const opts = {
+      useNewUrlParser: true,
+      useUnifiedTopology: true,
       bufferCommands: false,
-      // useNewUrlParser: true,
-      // useUnifiedTopology: true,
       // bufferMaxEntries: 0,
       // useFindAndModify: true,
       // useCreateIndex: true

api/lib/utils/misc.js

@@ -3,6 +3,15 @@ const cleanUpPrimaryKeyValue = (value) => {
   return value.replace(/--/g, '|');
 };
 
+function replaceSup(text) {
+  if (!text.includes('<sup>')) {
+    return text;
+  }
+  const replacedText = text.replace(/<sup>/g, '^').replace(/\s+<\/sup>/g, '^');
+  return replacedText;
+}
+
 module.exports = {
   cleanUpPrimaryKeyValue,
+  replaceSup,
 };

api/models/Agent.js

@@ -20,7 +20,7 @@ const Agent = mongoose.model('agent', agentSchema);
  * @throws {Error} If the agent creation fails.
  */
 const createAgent = async (agentData) => {
-  return (await Agent.create(agentData)).toObject();
+  return await Agent.create(agentData);
 };
 
 /**
@@ -82,7 +82,7 @@ const loadAgent = async ({ req, agent_id }) => {
  */
 const updateAgent = async (searchParameter, updateData) => {
   const options = { new: true, upsert: false };
-  return Agent.findOneAndUpdate(searchParameter, updateData, options).lean();
+  return await Agent.findOneAndUpdate(searchParameter, updateData, options).lean();
 };
 
 /**
@@ -96,75 +96,59 @@ const updateAgent = async (searchParameter, updateData) => {
  */
 const addAgentResourceFile = async ({ agent_id, tool_resource, file_id }) => {
   const searchParameter = { id: agent_id };
+  const agent = await getAgent(searchParameter);
 
-  // build the update to push or create the file ids set
-  const fileIdsPath = `tool_resources.${tool_resource}.file_ids`;
-  const updateData = { $addToSet: { [fileIdsPath]: file_id } };
-
-  // return the updated agent or throw if no agent matches
-  const updatedAgent = await updateAgent(searchParameter, updateData);
-  if (updatedAgent) {
-    return updatedAgent;
-  } else {
+  if (!agent) {
     throw new Error('Agent not found for adding resource file');
   }
+
+  const tool_resources = agent.tool_resources || {};
+
+  if (!tool_resources[tool_resource]) {
+    tool_resources[tool_resource] = { file_ids: [] };
+  }
+
+  if (!tool_resources[tool_resource].file_ids.includes(file_id)) {
+    tool_resources[tool_resource].file_ids.push(file_id);
+  }
+
+  const updateData = { tool_resources };
+
+  return await updateAgent(searchParameter, updateData);
 };
 
 /**
- * Removes multiple resource files from an agent in a single update.
+ * Removes a resource file id from an agent.
  * @param {object} params
+ * @param {ServerRequest} params.req
  * @param {string} params.agent_id
- * @param {Array<{tool_resource: string, file_id: string}>} params.files
+ * @param {string} params.tool_resource
+ * @param {string} params.file_id
  * @returns {Promise<Agent>} The updated agent.
  */
-const removeAgentResourceFiles = async ({ agent_id, files }) => {
+const removeAgentResourceFile = async ({ agent_id, tool_resource, file_id }) => {
   const searchParameter = { id: agent_id };
+  const agent = await getAgent(searchParameter);
 
-  // associate each tool resource with the respective file ids array
-  const filesByResource = files.reduce((acc, { tool_resource, file_id }) => {
-    if (!acc[tool_resource]) {
-      acc[tool_resource] = [];
-    }
-    acc[tool_resource].push(file_id);
-    return acc;
-  }, {});
-
-  // build the update aggregation pipeline wich removes file ids from tool resources array
-  // and eventually deletes empty tool resources
-  const updateData = [];
-  Object.entries(filesByResource).forEach(([resource, fileIds]) => {
-    const toolResourcePath = `tool_resources.${resource}`;
-    const fileIdsPath = `${toolResourcePath}.file_ids`;
-
-    // file ids removal stage
-    updateData.push({
-      $set: {
-        [fileIdsPath]: {
-          $filter: {
-            input: `$${fileIdsPath}`,
-            cond: { $not: [{ $in: ['$$this', fileIds] }] },
-          },
-        },
-      },
-    });
-
-    // empty tool resource deletion stage
-    updateData.push({
-      $set: {
-        [toolResourcePath]: {
-          $cond: [{ $eq: [`$${fileIdsPath}`, []] }, '$$REMOVE', `$${toolResourcePath}`],
-        },
-      },
-    });
-  });
-
-  // return the updated agent or throw if no agent matches
-  const updatedAgent = await updateAgent(searchParameter, updateData);
-  if (updatedAgent) {
-    return updatedAgent;
-  } else {
-    throw new Error('Agent not found for removing resource files');
+  if (!agent) {
+    throw new Error('Agent not found for removing resource file');
   }
+
+  const tool_resources = agent.tool_resources || {};
+
+  if (tool_resources[tool_resource] && tool_resources[tool_resource].file_ids) {
+    tool_resources[tool_resource].file_ids = tool_resources[tool_resource].file_ids.filter(
+      (id) => id !== file_id,
+    );
+
+    if (tool_resources[tool_resource].file_ids.length === 0) {
+      delete tool_resources[tool_resource];
+    }
+  }
+
+  const updateData = { tool_resources };
+
+  return await updateAgent(searchParameter, updateData);
 };
 
 /**
@@ -209,7 +193,6 @@ const getListAgents = async (searchParameter) => {
       avatar: 1,
       author: 1,
       projectIds: 1,
-      description: 1,
       isCollaborative: 1,
     }).lean()
   ).map((agent) => {
@@ -298,5 +281,5 @@ module.exports = {
   getListAgents,
   updateAgentProjects,
   addAgentResourceFile,
-  removeAgentResourceFiles,
+  removeAgentResourceFile,
 };

api/models/Categories.js

@@ -1,6 +1,10 @@
 const { logger } = require('~/config');
 // const { Categories } = require('./schema/categories');
 const options = [
+  {
+    label: '',
+    value: '',
+  },
   {
     label: 'idea',
     value: 'idea',

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.
@@ -75,7 +62,6 @@ const deleteNullOrEmptyConversations = async () => {
 
 module.exports = {
   Conversation,
-  getConvoFiles,
   searchConversation,
   deleteNullOrEmptyConversations,
   /**
@@ -96,15 +82,6 @@ module.exports = {
         update.conversationId = newConversationId;
       }
 
-      if (req.body.isTemporary) {
-        const expiredAt = new Date();
-        expiredAt.setDate(expiredAt.getDate() + 30);
-        update.expiredAt = expiredAt;
-      } else {
-        update.expiredAt = null;
-      }
-
-      /** Note: the resulting Model object is necessary for Meilisearch operations */
       const conversation = await Conversation.findOneAndUpdate(
         { conversationId, user: req.user.id },
         update,
@@ -151,9 +128,6 @@ module.exports = {
     if (Array.isArray(tags) && tags.length > 0) {
       query.tags = { $in: tags };
     }
-
-    query.$and = [{ $or: [{ expiredAt: null }, { expiredAt: { $exists: false } }] }];
-
     try {
       const totalConvos = (await Conversation.countDocuments(query)) || 1;
       const totalPages = Math.ceil(totalConvos / pageSize);
@@ -183,7 +157,6 @@ module.exports = {
           Conversation.findOne({
             user,
             conversationId: convo.conversationId,
-            $or: [{ expiredAt: { $exists: false } }, { expiredAt: null }],
           }).lean(),
         ),
       );

api/models/Message.js

@@ -23,6 +23,7 @@ const idSchema = z.string().uuid();
  * @param {string} [params.error] - Any error associated with the message.
  * @param {boolean} [params.unfinished] - Indicates if the message is unfinished.
  * @param {Object[]} [params.files] - An array of files associated with the message.
+ * @param {boolean} [params.isEdited] - Indicates if the message was edited.
  * @param {string} [params.finish_reason] - Reason for finishing the message.
  * @param {number} [params.tokenCount] - The number of tokens in the message.
  * @param {string} [params.plugin] - Plugin associated with the message.
@@ -52,15 +53,6 @@ async function saveMessage(req, params, metadata) {
       user: req.user.id,
       messageId: params.newMessageId || params.messageId,
     };
-
-    if (req?.body?.isTemporary) {
-      const expiredAt = new Date();
-      expiredAt.setDate(expiredAt.getDate() + 30);
-      update.expiredAt = expiredAt;
-    } else {
-      update.expiredAt = null;
-    }
-
     const message = await Message.findOneAndUpdate(
       { messageId: params.messageId, user: req.user.id },
       update,
@@ -85,7 +77,7 @@ async function saveMessage(req, params, metadata) {
  * @returns {Promise<Object>} The result of the bulk write operation.
  * @throws {Error} If there is an error in saving messages in bulk.
  */
-async function bulkSaveMessages(messages, overrideTimestamp = false) {
+async function bulkSaveMessages(messages, overrideTimestamp=false) {
   try {
     const bulkOps = messages.map((message) => ({
       updateOne: {
@@ -190,6 +182,7 @@ async function updateMessageText(req, { messageId, text }) {
 async function updateMessage(req, message, metadata) {
   try {
     const { messageId, ...update } = message;
+    update.isEdited = true;
     const updatedMessage = await Message.findOneAndUpdate(
       { messageId, user: req.user.id },
       update,
@@ -210,6 +203,7 @@ async function updateMessage(req, message, metadata) {
       text: updatedMessage.text,
       isCreatedByUser: updatedMessage.isCreatedByUser,
       tokenCount: updatedMessage.tokenCount,
+      isEdited: true,
     };
   } catch (err) {
     logger.error('Error updating message:', err);
@@ -271,26 +265,6 @@ async function getMessages(filter, select) {
   }
 }
 
-/**
- * Retrieves a single message from the database.
- * @async
- * @function getMessage
- * @param {{ user: string, messageId: string }} params - The search parameters
- * @returns {Promise<TMessage | null>} The message that matches the criteria or null if not found
- * @throws {Error} If there is an error in retrieving the message
- */
-async function getMessage({ user, messageId }) {
-  try {
-    return await Message.findOne({
-      user,
-      messageId,
-    }).lean();
-  } catch (err) {
-    logger.error('Error getting message:', err);
-    throw err;
-  }
-}
-
 /**
  * Deletes messages from the database.
  *
@@ -318,6 +292,5 @@ module.exports = {
   updateMessage,
   deleteMessagesSince,
   getMessages,
-  getMessage,
   deleteMessages,
 };

api/models/Message.spec.js

@@ -100,6 +100,7 @@ describe('Message Operations', () => {
         expect.objectContaining({
           messageId: 'msg123',
           text: 'Hello, world!',
+          isEdited: true,
         }),
       );
     });

api/models/Prompt.js

@@ -125,7 +125,7 @@ const getAllPromptGroups = async (req, filter) => {
 
     if (searchShared) {
       const project = await getProjectByName(Constants.GLOBAL_PROJECT_NAME, 'promptGroupIds');
-      if (project && project.promptGroupIds && project.promptGroupIds.length > 0) {
+      if (project && project.promptGroupIds.length > 0) {
         const projectQuery = { _id: { $in: project.promptGroupIds }, ...query };
         delete projectQuery.author;
         combinedQuery = searchSharedOnly ? projectQuery : { $or: [projectQuery, query] };
@@ -179,7 +179,7 @@ const getPromptGroups = async (req, filter) => {
     if (searchShared) {
       // const projects = req.user.projects || []; // TODO: handle multiple projects
       const project = await getProjectByName(Constants.GLOBAL_PROJECT_NAME, 'promptGroupIds');
-      if (project && project.promptGroupIds && project.promptGroupIds.length > 0) {
+      if (project && project.promptGroupIds.length > 0) {
         const projectQuery = { _id: { $in: project.promptGroupIds }, ...query };
         delete projectQuery.author;
         combinedQuery = searchSharedOnly ? projectQuery : { $or: [projectQuery, query] };

api/models/Session.js

@@ -1,275 +1,75 @@
 const mongoose = require('mongoose');
 const signPayload = require('~/server/services/signPayload');
 const { hashToken } = require('~/server/utils/crypto');
-const sessionSchema = require('./schema/session');
 const { logger } = require('~/config');
 
-const Session = mongoose.model('Session', sessionSchema);
-
 const { REFRESH_TOKEN_EXPIRY } = process.env ?? {};
-const expires = eval(REFRESH_TOKEN_EXPIRY) ?? 1000 * 60 * 60 * 24 * 7; // 7 days default
+const expires = eval(REFRESH_TOKEN_EXPIRY) ?? 1000 * 60 * 60 * 24 * 7;
 
-/**
- * Error class for Session-related errors
- */
-class SessionError extends Error {
-  constructor(message, code = 'SESSION_ERROR') {
-    super(message);
-    this.name = 'SessionError';
-    this.code = code;
-  }
-}
-
-/**
- * Creates a new session for a user
- * @param {string} userId - The ID of the user
- * @param {Object} options - Additional options for session creation
- * @param {Date} options.expiration - Custom expiration date
- * @returns {Promise<{session: Session, refreshToken: string}>}
- * @throws {SessionError}
- */
-const createSession = async (userId, options = {}) => {
-  if (!userId) {
-    throw new SessionError('User ID is required', 'INVALID_USER_ID');
-  }
+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,
+  },
+});
 
+sessionSchema.methods.generateRefreshToken = async function () {
   try {
-    const session = new Session({
-      user: userId,
-      expiration: options.expiration || new Date(Date.now() + expires),
-    });
-    const refreshToken = await generateRefreshToken(session);
-    return { session, refreshToken };
-  } catch (error) {
-    logger.error('[createSession] Error creating session:', error);
-    throw new SessionError('Failed to create session', 'CREATE_SESSION_FAILED');
-  }
-};
-
-/**
- * Finds a session by various parameters
- * @param {Object} params - Search parameters
- * @param {string} [params.refreshToken] - The refresh token to search by
- * @param {string} [params.userId] - The user ID to search by
- * @param {string} [params.sessionId] - The session ID to search by
- * @param {Object} [options] - Additional options
- * @param {boolean} [options.lean=true] - Whether to return plain objects instead of documents
- * @returns {Promise<Session|null>}
- * @throws {SessionError}
- */
-const findSession = async (params, options = { lean: true }) => {
-  try {
-    const query = {};
-
-    if (!params.refreshToken && !params.userId && !params.sessionId) {
-      throw new SessionError('At least one search parameter is required', 'INVALID_SEARCH_PARAMS');
-    }
-
-    if (params.refreshToken) {
-      const tokenHash = await hashToken(params.refreshToken);
-      query.refreshTokenHash = tokenHash;
-    }
-
-    if (params.userId) {
-      query.user = params.userId;
-    }
-
-    if (params.sessionId) {
-      const sessionId = params.sessionId.sessionId || params.sessionId;
-      if (!mongoose.Types.ObjectId.isValid(sessionId)) {
-        throw new SessionError('Invalid session ID format', 'INVALID_SESSION_ID');
-      }
-      query._id = sessionId;
-    }
-
-    // Add expiration check to only return valid sessions
-    query.expiration = { $gt: new Date() };
-
-    const sessionQuery = Session.findOne(query);
-
-    if (options.lean) {
-      return await sessionQuery.lean();
-    }
-
-    return await sessionQuery.exec();
-  } catch (error) {
-    logger.error('[findSession] Error finding session:', error);
-    throw new SessionError('Failed to find session', 'FIND_SESSION_FAILED');
-  }
-};
-
-/**
- * Updates session expiration
- * @param {Session|string} session - The session or session ID to update
- * @param {Date} [newExpiration] - Optional new expiration date
- * @returns {Promise<Session>}
- * @throws {SessionError}
- */
-const updateExpiration = async (session, newExpiration) => {
-  try {
-    const sessionDoc = typeof session === 'string' ? await Session.findById(session) : session;
-
-    if (!sessionDoc) {
-      throw new SessionError('Session not found', 'SESSION_NOT_FOUND');
-    }
-
-    sessionDoc.expiration = newExpiration || new Date(Date.now() + expires);
-    return await sessionDoc.save();
-  } catch (error) {
-    logger.error('[updateExpiration] Error updating session:', error);
-    throw new SessionError('Failed to update session expiration', 'UPDATE_EXPIRATION_FAILED');
-  }
-};
-
-/**
- * Deletes a session by refresh token or session ID
- * @param {Object} params - Delete parameters
- * @param {string} [params.refreshToken] - The refresh token of the session to delete
- * @param {string} [params.sessionId] - The ID of the session to delete
- * @returns {Promise<Object>}
- * @throws {SessionError}
- */
-const deleteSession = async (params) => {
-  try {
-    if (!params.refreshToken && !params.sessionId) {
-      throw new SessionError(
-        'Either refreshToken or sessionId is required',
-        'INVALID_DELETE_PARAMS',
-      );
-    }
-
-    const query = {};
-
-    if (params.refreshToken) {
-      query.refreshTokenHash = await hashToken(params.refreshToken);
-    }
-
-    if (params.sessionId) {
-      query._id = params.sessionId;
-    }
-
-    const result = await Session.deleteOne(query);
-
-    if (result.deletedCount === 0) {
-      logger.warn('[deleteSession] No session found to delete');
-    }
-
-    return result;
-  } catch (error) {
-    logger.error('[deleteSession] Error deleting session:', error);
-    throw new SessionError('Failed to delete session', 'DELETE_SESSION_FAILED');
-  }
-};
-
-/**
- * Deletes all sessions for a user
- * @param {string} userId - The ID of the user
- * @param {Object} [options] - Additional options
- * @param {boolean} [options.excludeCurrentSession] - Whether to exclude the current session
- * @param {string} [options.currentSessionId] - The ID of the current session to exclude
- * @returns {Promise<Object>}
- * @throws {SessionError}
- */
-const deleteAllUserSessions = async (userId, options = {}) => {
-  try {
-    if (!userId) {
-      throw new SessionError('User ID is required', 'INVALID_USER_ID');
-    }
-
-    // Extract userId if it's passed as an object
-    const userIdString = userId.userId || userId;
-
-    if (!mongoose.Types.ObjectId.isValid(userIdString)) {
-      throw new SessionError('Invalid user ID format', 'INVALID_USER_ID_FORMAT');
-    }
-
-    const query = { user: userIdString };
-
-    if (options.excludeCurrentSession && options.currentSessionId) {
-      query._id = { $ne: options.currentSessionId };
-    }
-
-    const result = await Session.deleteMany(query);
-
-    if (result.deletedCount > 0) {
-      logger.debug(
-        `[deleteAllUserSessions] Deleted ${result.deletedCount} sessions for user ${userIdString}.`,
-      );
-    }
-
-    return result;
-  } catch (error) {
-    logger.error('[deleteAllUserSessions] Error deleting user sessions:', error);
-    throw new SessionError('Failed to delete user sessions', 'DELETE_ALL_SESSIONS_FAILED');
-  }
-};
-
-/**
- * Generates a refresh token for a session
- * @param {Session} session - The session to generate a token for
- * @returns {Promise<string>}
- * @throws {SessionError}
- */
-const generateRefreshToken = async (session) => {
-  if (!session || !session.user) {
-    throw new SessionError('Invalid session object', 'INVALID_SESSION');
-  }
-
-  try {
-    const expiresIn = session.expiration ? session.expiration.getTime() : Date.now() + expires;
-
-    if (!session.expiration) {
-      session.expiration = new Date(expiresIn);
+    let expiresIn;
+    if (this.expiration) {
+      expiresIn = this.expiration.getTime();
+    } else {
+      expiresIn = Date.now() + expires;
+      this.expiration = new Date(expiresIn);
     }
 
     const refreshToken = await signPayload({
-      payload: {
-        id: session.user,
-        sessionId: session._id,
-      },
+      payload: { id: this.user },
       secret: process.env.JWT_REFRESH_SECRET,
       expirationTime: Math.floor((expiresIn - Date.now()) / 1000),
     });
 
-    session.refreshTokenHash = await hashToken(refreshToken);
-    await session.save();
+    this.refreshTokenHash = await hashToken(refreshToken);
+
+    await this.save();
 
     return refreshToken;
   } catch (error) {
-    logger.error('[generateRefreshToken] Error generating refresh token:', error);
-    throw new SessionError('Failed to generate refresh token', 'GENERATE_TOKEN_FAILED');
+    logger.error(
+      'Error generating refresh token. Is a `JWT_REFRESH_SECRET` set in the .env file?\n\n',
+      error,
+    );
+    throw error;
   }
 };
 
-/**
- * Counts active sessions for a user
- * @param {string} userId - The ID of the user
- * @returns {Promise<number>}
- * @throws {SessionError}
- */
-const countActiveSessions = async (userId) => {
+sessionSchema.statics.deleteAllUserSessions = async function (userId) {
   try {
     if (!userId) {
-      throw new SessionError('User ID is required', 'INVALID_USER_ID');
+      return;
+    }
+    const result = await this.deleteMany({ user: userId });
+    if (result && result?.deletedCount > 0) {
+      logger.debug(
+        `[deleteAllUserSessions] Deleted ${result.deletedCount} sessions for user ${userId}.`,
+      );
     }
-
-    return await Session.countDocuments({
-      user: userId,
-      expiration: { $gt: new Date() },
-    });
   } catch (error) {
-    logger.error('[countActiveSessions] Error counting active sessions:', error);
-    throw new SessionError('Failed to count active sessions', 'COUNT_SESSIONS_FAILED');
+    logger.error('[deleteAllUserSessions] Error in deleting user sessions:', error);
+    throw error;
   }
 };
 
-module.exports = {
-  createSession,
-  findSession,
-  updateExpiration,
-  deleteSession,
-  deleteAllUserSessions,
-  generateRefreshToken,
-  countActiveSessions,
-  SessionError,
-};
+const Session = mongoose.model('Session', sessionSchema);
+
+module.exports = Session;

api/models/Share.js

@@ -1,71 +1,82 @@
 const { nanoid } = require('nanoid');
 const { Constants } = require('librechat-data-provider');
-const { Conversation } = require('~/models/Conversation');
 const SharedLink = require('./schema/shareSchema');
 const { getMessages } = require('./Message');
 const logger = require('~/config/winston');
 
-class ShareServiceError extends Error {
-  constructor(message, code) {
-    super(message);
-    this.name = 'ShareServiceError';
-    this.code = code;
-  }
+/**
+ * Anonymizes a conversation ID
+ * @returns {string} The anonymized conversation ID
+ */
+function anonymizeConvoId() {
+  return `convo_${nanoid()}`;
 }
 
-const memoizedAnonymizeId = (prefix) => {
-  const memo = new Map();
-  return (id) => {
-    if (!memo.has(id)) {
-      memo.set(id, `${prefix}_${nanoid()}`);
-    }
-    return memo.get(id);
-  };
-};
+/**
+ * Anonymizes an assistant ID
+ * @returns {string} The anonymized assistant ID
+ */
+function anonymizeAssistantId() {
+  return `a_${nanoid()}`;
+}
 
-const anonymizeConvoId = memoizedAnonymizeId('convo');
-const anonymizeAssistantId = memoizedAnonymizeId('a');
-const anonymizeMessageId = (id) =>
-  id === Constants.NO_PARENT ? id : memoizedAnonymizeId('msg')(id);
+/**
+ * Anonymizes a message ID
+ * @param {string} id - The original message ID
+ * @returns {string} The anonymized message ID
+ */
+function anonymizeMessageId(id) {
+  return id === Constants.NO_PARENT ? id : `msg_${nanoid()}`;
+}
 
+/**
+ * Anonymizes a conversation object
+ * @param {object} conversation - The conversation object
+ * @returns {object} The anonymized conversation object
+ */
 function anonymizeConvo(conversation) {
-  if (!conversation) {
-    return null;
-  }
-
   const newConvo = { ...conversation };
   if (newConvo.assistant_id) {
-    newConvo.assistant_id = anonymizeAssistantId(newConvo.assistant_id);
+    newConvo.assistant_id = anonymizeAssistantId();
   }
   return newConvo;
 }
 
+/**
+ * Anonymizes messages in a conversation
+ * @param {TMessage[]} messages - The original messages
+ * @param {string} newConvoId - The new conversation ID
+ * @returns {TMessage[]} The anonymized messages
+ */
 function anonymizeMessages(messages, newConvoId) {
-  if (!Array.isArray(messages)) {
-    return [];
-  }
-
   const idMap = new Map();
   return messages.map((message) => {
     const newMessageId = anonymizeMessageId(message.messageId);
     idMap.set(message.messageId, newMessageId);
 
-    return {
-      ...message,
+    const anonymizedMessage = Object.assign(message, {
       messageId: newMessageId,
       parentMessageId:
         idMap.get(message.parentMessageId) || anonymizeMessageId(message.parentMessageId),
       conversationId: newConvoId,
-      model: message.model?.startsWith('asst_')
-        ? anonymizeAssistantId(message.model)
-        : message.model,
-    };
+    });
+
+    if (anonymizedMessage.model && anonymizedMessage.model.startsWith('asst_')) {
+      anonymizedMessage.model = anonymizeAssistantId();
+    }
+
+    return anonymizedMessage;
   });
 }
 
+/**
+ * Retrieves shared messages for a given share ID
+ * @param {string} shareId - The share ID
+ * @returns {Promise<object|null>} The shared conversation data or null if not found
+ */
 async function getSharedMessages(shareId) {
   try {
-    const share = await SharedLink.findOne({ shareId, isPublic: true })
+    const share = await SharedLink.findOne({ shareId })
       .populate({
         path: 'messages',
         select: '-_id -__v -user',
@@ -73,264 +84,165 @@ async function getSharedMessages(shareId) {
       .select('-_id -__v -user')
       .lean();
 
-    if (!share?.conversationId || !share.isPublic) {
+    if (!share || !share.conversationId || !share.isPublic) {
       return null;
     }
 
-    const newConvoId = anonymizeConvoId(share.conversationId);
-    const result = {
-      ...share,
+    const newConvoId = anonymizeConvoId();
+    return Object.assign(share, {
       conversationId: newConvoId,
       messages: anonymizeMessages(share.messages, newConvoId),
-    };
-
-    return result;
-  } catch (error) {
-    logger.error('[getShare] Error getting share link', {
-      error: error.message,
-      shareId,
     });
-    throw new ShareServiceError('Error getting share link', 'SHARE_FETCH_ERROR');
+  } catch (error) {
+    logger.error('[getShare] Error getting share link', error);
+    throw new Error('Error getting share link');
   }
 }
 
-async function getSharedLinks(user, pageParam, pageSize, isPublic, sortBy, sortDirection, search) {
+/**
+ * Retrieves shared links for a user
+ * @param {string} user - The user ID
+ * @param {number} [pageNumber=1] - The page number
+ * @param {number} [pageSize=25] - The page size
+ * @param {boolean} [isPublic=true] - Whether to retrieve public links only
+ * @returns {Promise<object>} The shared links and pagination data
+ */
+async function getSharedLinks(user, pageNumber = 1, pageSize = 25, isPublic = true) {
+  const query = { user, isPublic };
   try {
-    const query = { user, isPublic };
+    const [totalConvos, sharedLinks] = await Promise.all([
+      SharedLink.countDocuments(query),
+      SharedLink.find(query)
+        .sort({ updatedAt: -1 })
+        .skip((pageNumber - 1) * pageSize)
+        .limit(pageSize)
+        .select('-_id -__v -user')
+        .lean(),
+    ]);
 
-    if (pageParam) {
-      if (sortDirection === 'desc') {
-        query[sortBy] = { $lt: pageParam };
-      } else {
-        query[sortBy] = { $gt: pageParam };
-      }
-    }
-
-    if (search && search.trim()) {
-      try {
-        const searchResults = await Conversation.meiliSearch(search);
-
-        if (!searchResults?.hits?.length) {
-          return {
-            links: [],
-            nextCursor: undefined,
-            hasNextPage: false,
-          };
-        }
-
-        const conversationIds = searchResults.hits.map((hit) => hit.conversationId);
-        query['conversationId'] = { $in: conversationIds };
-      } catch (searchError) {
-        logger.error('[getSharedLinks] Meilisearch error', {
-          error: searchError.message,
-          user,
-        });
-        return {
-          links: [],
-          nextCursor: undefined,
-          hasNextPage: false,
-        };
-      }
-    }
-
-    const sort = {};
-    sort[sortBy] = sortDirection === 'desc' ? -1 : 1;
-
-    if (Array.isArray(query.conversationId)) {
-      query.conversationId = { $in: query.conversationId };
-    }
-
-    const sharedLinks = await SharedLink.find(query)
-      .sort(sort)
-      .limit(pageSize + 1)
-      .select('-__v -user')
-      .lean();
-
-    const hasNextPage = sharedLinks.length > pageSize;
-    const links = sharedLinks.slice(0, pageSize);
-
-    const nextCursor = hasNextPage ? links[links.length - 1][sortBy] : undefined;
+    const totalPages = Math.ceil((totalConvos || 1) / pageSize);
 
     return {
-      links: links.map((link) => ({
-        shareId: link.shareId,
-        title: link?.title || 'Untitled',
-        isPublic: link.isPublic,
-        createdAt: link.createdAt,
-        conversationId: link.conversationId,
-      })),
-      nextCursor,
-      hasNextPage,
+      sharedLinks,
+      pages: totalPages,
+      pageNumber,
+      pageSize,
     };
   } catch (error) {
-    logger.error('[getSharedLinks] Error getting shares', {
-      error: error.message,
-      user,
-    });
-    throw new ShareServiceError('Error getting shares', 'SHARES_FETCH_ERROR');
+    logger.error('[getShareByPage] Error getting shares', error);
+    throw new Error('Error getting shares');
   }
 }
 
+/**
+ * Creates a new shared link
+ * @param {string} user - The user ID
+ * @param {object} shareData - The share data
+ * @param {string} shareData.conversationId - The conversation ID
+ * @returns {Promise<object>} The created shared link
+ */
+async function createSharedLink(user, { conversationId, ...shareData }) {
+  try {
+    const share = await SharedLink.findOne({ conversationId }).select('-_id -__v -user').lean();
+    if (share) {
+      const newConvoId = anonymizeConvoId();
+      const sharedConvo = anonymizeConvo(share);
+      return Object.assign(sharedConvo, {
+        conversationId: newConvoId,
+        messages: anonymizeMessages(share.messages, newConvoId),
+      });
+    }
+
+    const shareId = nanoid();
+    const messages = await getMessages({ conversationId });
+    const update = { ...shareData, shareId, messages, user };
+    const newShare = await SharedLink.findOneAndUpdate({ conversationId, user }, update, {
+      new: true,
+      upsert: true,
+    }).lean();
+
+    const newConvoId = anonymizeConvoId();
+    const sharedConvo = anonymizeConvo(newShare);
+    return Object.assign(sharedConvo, {
+      conversationId: newConvoId,
+      messages: anonymizeMessages(newShare.messages, newConvoId),
+    });
+  } catch (error) {
+    logger.error('[createSharedLink] Error creating shared link', error);
+    throw new Error('Error creating shared link');
+  }
+}
+
+/**
+ * Updates an existing shared link
+ * @param {string} user - The user ID
+ * @param {object} shareData - The share data to update
+ * @param {string} shareData.conversationId - The conversation ID
+ * @returns {Promise<object>} The updated shared link
+ */
+async function updateSharedLink(user, { conversationId, ...shareData }) {
+  try {
+    const share = await SharedLink.findOne({ conversationId }).select('-_id -__v -user').lean();
+    if (!share) {
+      return { message: 'Share not found' };
+    }
+
+    const messages = await getMessages({ conversationId });
+    const update = { ...shareData, messages, user };
+    const updatedShare = await SharedLink.findOneAndUpdate({ conversationId, user }, update, {
+      new: true,
+      upsert: false,
+    }).lean();
+
+    const newConvoId = anonymizeConvoId();
+    const sharedConvo = anonymizeConvo(updatedShare);
+    return Object.assign(sharedConvo, {
+      conversationId: newConvoId,
+      messages: anonymizeMessages(updatedShare.messages, newConvoId),
+    });
+  } catch (error) {
+    logger.error('[updateSharedLink] Error updating shared link', error);
+    throw new Error('Error updating shared link');
+  }
+}
+
+/**
+ * Deletes a shared link
+ * @param {string} user - The user ID
+ * @param {object} params - The deletion parameters
+ * @param {string} params.shareId - The share ID to delete
+ * @returns {Promise<object>} The result of the deletion
+ */
+async function deleteSharedLink(user, { shareId }) {
+  try {
+    const result = await SharedLink.findOneAndDelete({ shareId, user });
+    return result ? { message: 'Share deleted successfully' } : { message: 'Share not found' };
+  } catch (error) {
+    logger.error('[deleteSharedLink] Error deleting shared link', error);
+    throw new Error('Error deleting shared link');
+  }
+}
+
+/**
+ * Deletes all shared links for a specific user
+ * @param {string} user - The user ID
+ * @returns {Promise<object>} The result of the deletion
+ */
 async function deleteAllSharedLinks(user) {
   try {
     const result = await SharedLink.deleteMany({ user });
     return {
-      message: 'All shared links deleted successfully',
+      message: 'All shared links have been deleted successfully',
       deletedCount: result.deletedCount,
     };
   } catch (error) {
-    logger.error('[deleteAllSharedLinks] Error deleting shared links', {
-      error: error.message,
-      user,
-    });
-    throw new ShareServiceError('Error deleting shared links', 'BULK_DELETE_ERROR');
-  }
-}
-
-async function createSharedLink(user, conversationId) {
-  if (!user || !conversationId) {
-    throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
-  }
-
-  try {
-    const [existingShare, conversationMessages] = await Promise.all([
-      SharedLink.findOne({ conversationId, isPublic: true }).select('-_id -__v -user').lean(),
-      getMessages({ conversationId }),
-    ]);
-
-    if (existingShare && existingShare.isPublic) {
-      throw new ShareServiceError('Share already exists', 'SHARE_EXISTS');
-    } else if (existingShare) {
-      await SharedLink.deleteOne({ conversationId });
-    }
-
-    const conversation = await Conversation.findOne({ conversationId }).lean();
-    const title = conversation?.title || 'Untitled';
-
-    const shareId = nanoid();
-    await SharedLink.create({
-      shareId,
-      conversationId,
-      messages: conversationMessages,
-      title,
-      user,
-    });
-
-    return { shareId, conversationId };
-  } catch (error) {
-    logger.error('[createSharedLink] Error creating shared link', {
-      error: error.message,
-      user,
-      conversationId,
-    });
-    throw new ShareServiceError('Error creating shared link', 'SHARE_CREATE_ERROR');
-  }
-}
-
-async function getSharedLink(user, conversationId) {
-  if (!user || !conversationId) {
-    throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
-  }
-
-  try {
-    const share = await SharedLink.findOne({ conversationId, user, isPublic: true })
-      .select('shareId -_id')
-      .lean();
-
-    if (!share) {
-      return { shareId: null, success: false };
-    }
-
-    return { shareId: share.shareId, success: true };
-  } catch (error) {
-    logger.error('[getSharedLink] Error getting shared link', {
-      error: error.message,
-      user,
-      conversationId,
-    });
-    throw new ShareServiceError('Error getting shared link', 'SHARE_FETCH_ERROR');
-  }
-}
-
-async function updateSharedLink(user, shareId) {
-  if (!user || !shareId) {
-    throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
-  }
-
-  try {
-    const share = await SharedLink.findOne({ shareId }).select('-_id -__v -user').lean();
-
-    if (!share) {
-      throw new ShareServiceError('Share not found', 'SHARE_NOT_FOUND');
-    }
-
-    const [updatedMessages] = await Promise.all([
-      getMessages({ conversationId: share.conversationId }),
-    ]);
-
-    const newShareId = nanoid();
-    const update = {
-      messages: updatedMessages,
-      user,
-      shareId: newShareId,
-    };
-
-    const updatedShare = await SharedLink.findOneAndUpdate({ shareId, user }, update, {
-      new: true,
-      upsert: false,
-      runValidators: true,
-    }).lean();
-
-    if (!updatedShare) {
-      throw new ShareServiceError('Share update failed', 'SHARE_UPDATE_ERROR');
-    }
-
-    anonymizeConvo(updatedShare);
-
-    return { shareId: newShareId, conversationId: updatedShare.conversationId };
-  } catch (error) {
-    logger.error('[updateSharedLink] Error updating shared link', {
-      error: error.message,
-      user,
-      shareId,
-    });
-    throw new ShareServiceError(
-      error.code === 'SHARE_UPDATE_ERROR' ? error.message : 'Error updating shared link',
-      error.code || 'SHARE_UPDATE_ERROR',
-    );
-  }
-}
-
-async function deleteSharedLink(user, shareId) {
-  if (!user || !shareId) {
-    throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
-  }
-
-  try {
-    const result = await SharedLink.findOneAndDelete({ shareId, user }).lean();
-
-    if (!result) {
-      return null;
-    }
-
-    return {
-      success: true,
-      shareId,
-      message: 'Share deleted successfully',
-    };
-  } catch (error) {
-    logger.error('[deleteSharedLink] Error deleting shared link', {
-      error: error.message,
-      user,
-      shareId,
-    });
-    throw new ShareServiceError('Error deleting shared link', 'SHARE_DELETE_ERROR');
+    logger.error('[deleteAllSharedLinks] Error deleting shared links', error);
+    throw new Error('Error deleting shared links');
   }
 }
 
 module.exports = {
   SharedLink,
-  getSharedLink,
   getSharedLinks,
   createSharedLink,
   updateSharedLink,

api/models/ToolCall.js

@@ -1,96 +0,0 @@
-const ToolCall = require('./schema/toolCallSchema');
-
-/**
- * Create a new tool call
- * @param {ToolCallData} toolCallData - The tool call data
- * @returns {Promise<ToolCallData>} The created tool call document
- */
-async function createToolCall(toolCallData) {
-  try {
-    return await ToolCall.create(toolCallData);
-  } catch (error) {
-    throw new Error(`Error creating tool call: ${error.message}`);
-  }
-}
-
-/**
- * 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
- */
-async function getToolCallById(id) {
-  try {
-    return await ToolCall.findById(id).lean();
-  } catch (error) {
-    throw new Error(`Error fetching tool call: ${error.message}`);
-  }
-}
-
-/**
- * Get tool calls by message ID and user
- * @param {string} messageId - The message ID
- * @param {string} userId - The user's ObjectId
- * @returns {Promise<Array>} Array of tool call documents
- */
-async function getToolCallsByMessage(messageId, userId) {
-  try {
-    return await ToolCall.find({ messageId, user: userId }).lean();
-  } catch (error) {
-    throw new Error(`Error fetching tool calls: ${error.message}`);
-  }
-}
-
-/**
- * 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
- */
-async function getToolCallsByConvo(conversationId, userId) {
-  try {
-    return await ToolCall.find({ conversationId, user: userId }).lean();
-  } catch (error) {
-    throw new Error(`Error fetching tool calls: ${error.message}`);
-  }
-}
-
-/**
- * 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
- */
-async function updateToolCall(id, updateData) {
-  try {
-    return await ToolCall.findByIdAndUpdate(id, updateData, { new: true }).lean();
-  } catch (error) {
-    throw new Error(`Error updating tool call: ${error.message}`);
-  }
-}
-
-/**
- * Delete a tool call
- * @param {string} userId - The related user's ObjectId
- * @param {string} [conversationId] - The tool call conversation ID
- * @returns {Promise<{ ok?: number; n?: number; deletedCount?: number }>} The result of the delete operation
- */
-async function deleteToolCalls(userId, conversationId) {
-  try {
-    const query = { user: userId };
-    if (conversationId) {
-      query.conversationId = conversationId;
-    }
-    return await ToolCall.deleteMany(query);
-  } catch (error) {
-    throw new Error(`Error deleting tool call: ${error.message}`);
-  }
-}
-
-module.exports = {
-  createToolCall,
-  updateToolCall,
-  deleteToolCalls,
-  getToolCallById,
-  getToolCallsByConvo,
-  getToolCallsByMessage,
-};

api/models/Transaction.js

@@ -27,9 +27,6 @@ transactionSchema.methods.calculateTokenValue = function () {
  */
 transactionSchema.statics.create = async function (txData) {
   const Transaction = this;
-  if (txData.rawAmount != null && isNaN(txData.rawAmount)) {
-    return;
-  }
 
   const transaction = new Transaction(txData);
   transaction.endpointTokenConfig = txData.endpointTokenConfig;

api/models/Transaction.spec.js

@@ -1,6 +1,5 @@
 const mongoose = require('mongoose');
 const { MongoMemoryServer } = require('mongodb-memory-server');
-const { Transaction } = require('./Transaction');
 const Balance = require('./Balance');
 const { spendTokens, spendStructuredTokens } = require('./spendTokens');
 const { getMultiplier, getCacheMultiplier } = require('./tx');
@@ -347,28 +346,3 @@ describe('Structured Token Spending Tests', () => {
     expect(result.completion.completion).toBeCloseTo(-50 * 15 * 1.15, 0); // Assuming multiplier is 15 and cancelRate is 1.15
   });
 });
-
-describe('NaN Handling Tests', () => {
-  test('should skip transaction creation when rawAmount is NaN', async () => {
-    const userId = new mongoose.Types.ObjectId();
-    const initialBalance = 10000000;
-    await Balance.create({ user: userId, tokenCredits: initialBalance });
-
-    const model = 'gpt-3.5-turbo';
-    const txData = {
-      user: userId,
-      conversationId: 'test-conversation-id',
-      model,
-      context: 'test',
-      endpointTokenConfig: null,
-      rawAmount: NaN,
-      tokenType: 'prompt',
-    };
-
-    const result = await Transaction.create(txData);
-    expect(result).toBeUndefined();
-
-    const balance = await Balance.findOne({ user: userId });
-    expect(balance.tokenCredits).toBe(initialBalance);
-  });
-});

api/models/convoStructure.spec.js

@@ -220,94 +220,4 @@ describe('Conversation Structure Tests', () => {
     }
     expect(currentNode.children.length).toBe(0); // Last message should have no children
   });
-
-  test('Random order dates between parent and children messages', async () => {
-    const userId = 'testUser';
-    const conversationId = 'testConversation';
-
-    // Create messages with deliberately out-of-order timestamps but sequential creation
-    const messages = [
-      {
-        messageId: 'parent',
-        parentMessageId: null,
-        text: 'Parent Message',
-        createdAt: new Date('2023-01-01T00:00:00Z'), // Make parent earliest
-      },
-      {
-        messageId: 'child1',
-        parentMessageId: 'parent',
-        text: 'Child Message 1',
-        createdAt: new Date('2023-01-01T00:01:00Z'),
-      },
-      {
-        messageId: 'child2',
-        parentMessageId: 'parent',
-        text: 'Child Message 2',
-        createdAt: new Date('2023-01-01T00:02:00Z'),
-      },
-      {
-        messageId: 'grandchild1',
-        parentMessageId: 'child1',
-        text: 'Grandchild Message 1',
-        createdAt: new Date('2023-01-01T00:03:00Z'),
-      },
-    ];
-
-    // Add common properties to all messages
-    messages.forEach((msg) => {
-      msg.conversationId = conversationId;
-      msg.user = userId;
-      msg.isCreatedByUser = false;
-      msg.error = false;
-      msg.unfinished = false;
-    });
-
-    // Save messages with overrideTimestamp set to true
-    await bulkSaveMessages(messages, true);
-
-    // Retrieve messages
-    const retrievedMessages = await getMessages({ conversationId, user: userId });
-
-    // Debug log to see what's being returned
-    console.log(
-      'Retrieved Messages:',
-      retrievedMessages.map((msg) => ({
-        messageId: msg.messageId,
-        parentMessageId: msg.parentMessageId,
-        createdAt: msg.createdAt,
-      })),
-    );
-
-    // Build tree
-    const tree = buildTree({ messages: retrievedMessages });
-
-    // Debug log to see the tree structure
-    console.log(
-      'Tree structure:',
-      tree.map((root) => ({
-        messageId: root.messageId,
-        children: root.children.map((child) => ({
-          messageId: child.messageId,
-          children: child.children.map((grandchild) => ({
-            messageId: grandchild.messageId,
-          })),
-        })),
-      })),
-    );
-
-    // Verify the structure before making assertions
-    expect(retrievedMessages.length).toBe(4); // Should have all 4 messages
-
-    // Check if messages are properly linked
-    const parentMsg = retrievedMessages.find((msg) => msg.messageId === 'parent');
-    expect(parentMsg.parentMessageId).toBeNull(); // Parent should have null parentMessageId
-
-    const childMsg1 = retrievedMessages.find((msg) => msg.messageId === 'child1');
-    expect(childMsg1.parentMessageId).toBe('parent');
-
-    // Then check tree structure
-    expect(tree.length).toBe(1); // Should have only one root message
-    expect(tree[0].messageId).toBe('parent');
-    expect(tree[0].children.length).toBe(2); // Should have two children
-  });
 });

api/models/index.js

@@ -18,7 +18,6 @@ const {
   updateFileUsage,
 } = require('./File');
 const {
-  getMessage,
   getMessages,
   saveMessage,
   recordMessage,
@@ -26,18 +25,10 @@ const {
   deleteMessagesSince,
   deleteMessages,
 } = require('./Message');
-const {
-  createSession,
-  findSession,
-  updateExpiration,
-  deleteSession,
-  deleteAllUserSessions,
-  generateRefreshToken,
-  countActiveSessions,
-} = require('./Session');
 const { getConvoTitle, getConvo, saveConvo, deleteConvos } = require('./Conversation');
 const { getPreset, getPresets, savePreset, deletePresets } = require('./Preset');
 const { createToken, findToken, updateToken, deleteTokens } = require('./Token');
+const Session = require('./Session');
 const Balance = require('./Balance');
 const User = require('./User');
 const Key = require('./Key');
@@ -60,7 +51,6 @@ module.exports = {
   getFiles,
   updateFileUsage,
 
-  getMessage,
   getMessages,
   saveMessage,
   recordMessage,
@@ -83,15 +73,8 @@ module.exports = {
   updateToken,
   deleteTokens,
 
-  createSession,
-  findSession,
-  updateExpiration,
-  deleteSession,
-  deleteAllUserSessions,
-  generateRefreshToken,
-  countActiveSessions,
-
   User,
   Key,
+  Session,
   Balance,
 };

api/models/schema/agent.js

@@ -58,15 +58,6 @@ const agentSchema = mongoose.Schema(
       type: String,
       default: undefined,
     },
-    hide_sequential_outputs: {
-      type: Boolean,
-    },
-    end_after_tools: {
-      type: Boolean,
-    },
-    agent_ids: {
-      type: [String],
-    },
     isCollaborative: {
       type: Boolean,
       default: undefined,

api/models/schema/assistant.js

@@ -28,10 +28,6 @@ const assistantSchema = mongoose.Schema(
     },
     file_ids: { type: [String], default: undefined },
     actions: { type: [String], default: undefined },
-    append_current_datetime: {
-      type: Boolean,
-      default: false,
-    },
   },
   {
     timestamps: true,

api/models/schema/convoSchema.js

@@ -26,20 +26,27 @@ const convoSchema = mongoose.Schema(
       type: mongoose.Schema.Types.Mixed,
     },
     ...conversationPreset,
-    agent_id: {
+    // for bingAI only
+    bingConversationId: {
       type: String,
     },
+    jailbreakConversationId: {
+      type: String,
+    },
+    conversationSignature: {
+      type: String,
+    },
+    clientId: {
+      type: String,
+    },
+    invocationId: {
+      type: Number,
+    },
     tags: {
       type: [String],
       default: [],
       meiliIndex: true,
     },
-    files: {
-      type: [String],
-    },
-    expiredAt: {
-      type: Date,
-    },
   },
   { timestamps: true },
 );
@@ -53,8 +60,6 @@ if (process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY) {
   });
 }
 
-// Create TTL index
-convoSchema.index({ expiredAt: 1 }, { expireAfterSeconds: 0 });
 convoSchema.index({ createdAt: 1, updatedAt: 1 });
 convoSchema.index({ conversationId: 1, user: 1 }, { unique: true });
 

api/models/schema/defaults.js

@@ -1,5 +1,5 @@
 const conversationPreset = {
-  // endpoint: [azureOpenAI, openAI, anthropic, chatGPTBrowser]
+  // endpoint: [azureOpenAI, openAI, bingAI, anthropic, chatGPTBrowser]
   endpoint: {
     type: String,
     default: null,
@@ -61,6 +61,19 @@ const conversationPreset = {
     type: Number,
     required: false,
   },
+  // for bingai only
+  jailbreak: {
+    type: Boolean,
+  },
+  context: {
+    type: String,
+  },
+  systemMessage: {
+    type: String,
+  },
+  toneStyle: {
+    type: String,
+  },
   file_ids: { type: [{ type: String }], default: undefined },
   // deprecated
   resendImages: {
@@ -80,10 +93,6 @@ const conversationPreset = {
   imageDetail: {
     type: String,
   },
-  /* agents */
-  agent_id: {
-    type: String,
-  },
   /* assistants */
   assistant_id: {
     type: String,
@@ -117,10 +126,6 @@ const conversationPreset = {
   max_tokens: {
     type: Number,
   },
-  /** omni models only */
-  reasoning_effort: {
-    type: String,
-  },
 };
 
 const agentOptions = {
@@ -170,6 +175,12 @@ const agentOptions = {
     type: Number,
     required: false,
   },
+  context: {
+    type: String,
+  },
+  systemMessage: {
+    type: String,
+  },
 };
 
 module.exports = {

api/models/schema/key.js

@@ -16,6 +16,7 @@ const keySchema = mongoose.Schema({
   },
   expiresAt: {
     type: Date,
+    expires: 0,
   },
 });
 

api/models/schema/messageSchema.js

@@ -62,6 +62,10 @@ const messageSchema = mongoose.Schema(
       required: true,
       default: false,
     },
+    isEdited: {
+      type: Boolean,
+      default: false,
+    },
     unfinished: {
       type: Boolean,
       default: false,
@@ -134,9 +138,6 @@ const messageSchema = mongoose.Schema(
       default: undefined,
     },
     */
-    expiredAt: {
-      type: Date,
-    },
   },
   { timestamps: true },
 );
@@ -149,7 +150,7 @@ 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 });
 

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/shareSchema.js

@@ -20,6 +20,14 @@ const shareSchema = mongoose.Schema(
       index: true,
     },
     isPublic: {
+      type: Boolean,
+      default: false,
+    },
+    isVisible: {
+      type: Boolean,
+      default: false,
+    },
+    isAnonymous: {
       type: Boolean,
       default: true,
     },

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

@@ -23,7 +23,6 @@ const { SystemRoles } = require('librechat-data-provider');
  * @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
@@ -112,11 +111,6 @@ const userSchema = mongoose.Schema(
       unique: true,
       sparse: true,
     },
-    appleId: {
-      type: String,
-      unique: true,
-      sparse: true,
-    },
     plugins: {
       type: Array,
       default: [],

api/models/tx.js

@@ -1,50 +1,22 @@
 const { matchModelName } = require('../utils');
 const defaultRate = 6;
 
-/**
- * AWS Bedrock pricing
- * source: https://aws.amazon.com/bedrock/pricing/
- * */
+/** AWS Bedrock pricing */
 const bedrockValues = {
-  // Basic llama2 patterns
   'llama2-13b': { prompt: 0.75, completion: 1.0 },
+  'llama2-70b': { prompt: 1.95, completion: 2.56 },
+  'llama3-8b': { prompt: 0.3, completion: 0.6 },
+  'llama3-70b': { prompt: 2.65, completion: 3.5 },
+  'llama3-1-8b': { prompt: 0.3, completion: 0.6 },
+  'llama3-1-70b': { prompt: 2.65, completion: 3.5 },
+  'llama3-1-405b': { prompt: 5.32, completion: 16.0 },
   'llama2:13b': { prompt: 0.75, completion: 1.0 },
   'llama2:70b': { prompt: 1.95, completion: 2.56 },
-  'llama2-70b': { prompt: 1.95, completion: 2.56 },
-
-  // Basic llama3 patterns
-  'llama3-8b': { prompt: 0.3, completion: 0.6 },
   'llama3:8b': { prompt: 0.3, completion: 0.6 },
-  'llama3-70b': { prompt: 2.65, completion: 3.5 },
   'llama3:70b': { prompt: 2.65, completion: 3.5 },
-
-  // llama3-x-Nb pattern
-  'llama3-1-8b': { prompt: 0.22, completion: 0.22 },
-  'llama3-1-70b': { prompt: 0.72, completion: 0.72 },
-  'llama3-1-405b': { prompt: 2.4, completion: 2.4 },
-  'llama3-2-1b': { prompt: 0.1, completion: 0.1 },
-  'llama3-2-3b': { prompt: 0.15, completion: 0.15 },
-  'llama3-2-11b': { prompt: 0.16, completion: 0.16 },
-  'llama3-2-90b': { prompt: 0.72, completion: 0.72 },
-
-  // llama3.x:Nb pattern
-  'llama3.1:8b': { prompt: 0.22, completion: 0.22 },
-  'llama3.1:70b': { prompt: 0.72, completion: 0.72 },
-  'llama3.1:405b': { prompt: 2.4, completion: 2.4 },
-  'llama3.2:1b': { prompt: 0.1, completion: 0.1 },
-  'llama3.2:3b': { prompt: 0.15, completion: 0.15 },
-  'llama3.2:11b': { prompt: 0.16, completion: 0.16 },
-  'llama3.2:90b': { prompt: 0.72, completion: 0.72 },
-
-  // llama-3.x-Nb pattern
-  'llama-3.1-8b': { prompt: 0.22, completion: 0.22 },
-  'llama-3.1-70b': { prompt: 0.72, completion: 0.72 },
-  'llama-3.1-405b': { prompt: 2.4, completion: 2.4 },
-  'llama-3.2-1b': { prompt: 0.1, completion: 0.1 },
-  'llama-3.2-3b': { prompt: 0.15, completion: 0.15 },
-  'llama-3.2-11b': { prompt: 0.16, completion: 0.16 },
-  'llama-3.2-90b': { prompt: 0.72, completion: 0.72 },
-  'llama-3.3-70b': { prompt: 2.65, completion: 3.5 },
+  'llama3.1:8b': { prompt: 0.3, completion: 0.6 },
+  'llama3.1:70b': { prompt: 2.65, completion: 3.5 },
+  'llama3.1:405b': { prompt: 5.32, completion: 16.0 },
   'mistral-7b': { prompt: 0.15, completion: 0.2 },
   'mistral-small': { prompt: 0.15, completion: 0.2 },
   'mixtral-8x7b': { prompt: 0.45, completion: 0.7 },
@@ -58,9 +30,6 @@ const bedrockValues = {
   'amazon.titan-text-lite-v1': { prompt: 0.15, completion: 0.2 },
   'amazon.titan-text-express-v1': { prompt: 0.2, completion: 0.6 },
   'amazon.titan-text-premier-v1:0': { prompt: 0.5, completion: 1.5 },
-  'amazon.nova-micro-v1:0': { prompt: 0.035, completion: 0.14 },
-  'amazon.nova-lite-v1:0': { prompt: 0.06, completion: 0.24 },
-  'amazon.nova-pro-v1:0': { prompt: 0.8, completion: 3.2 },
 };
 
 /**
@@ -75,9 +44,8 @@ const tokenValues = Object.assign(
     '4k': { prompt: 1.5, completion: 2 },
     '16k': { prompt: 3, completion: 4 },
     'gpt-3.5-turbo-1106': { prompt: 1, completion: 2 },
-    'o3-mini': { prompt: 1.1, completion: 4.4 },
-    'o1-mini': { prompt: 1.1, completion: 4.4 },
     'o1-preview': { prompt: 15, completion: 60 },
+    'o1-mini': { prompt: 3, completion: 12 },
     o1: { prompt: 15, completion: 60 },
     'gpt-4o-mini': { prompt: 0.15, completion: 0.6 },
     'gpt-4o': { prompt: 2.5, completion: 10 },
@@ -88,8 +56,8 @@ const tokenValues = Object.assign(
     'claude-3-sonnet': { prompt: 3, completion: 15 },
     'claude-3-5-sonnet': { prompt: 3, completion: 15 },
     'claude-3.5-sonnet': { prompt: 3, completion: 15 },
-    'claude-3-5-haiku': { prompt: 0.8, completion: 4 },
-    'claude-3.5-haiku': { prompt: 0.8, completion: 4 },
+    'claude-3-5-haiku': { prompt: 1, completion: 5 },
+    'claude-3.5-haiku': { prompt: 1, completion: 5 },
     'claude-3-haiku': { prompt: 0.25, completion: 1.25 },
     'claude-2.1': { prompt: 8, completion: 24 },
     'claude-2': { prompt: 8, completion: 24 },
@@ -97,19 +65,11 @@ const tokenValues = Object.assign(
     'claude-': { prompt: 0.8, completion: 2.4 },
     'command-r-plus': { prompt: 3, completion: 15 },
     'command-r': { prompt: 0.5, completion: 1.5 },
-    'deepseek-reasoner': { prompt: 0.55, completion: 2.19 },
-    deepseek: { prompt: 0.14, completion: 0.28 },
     /* cohere doesn't have rates for the older command models,
   so this was from https://artificialanalysis.ai/models/command-light/providers */
     command: { prompt: 0.38, completion: 0.38 },
-    'gemini-2.0-flash-lite': { prompt: 0.075, completion: 0.3 },
-    'gemini-2.0-flash': { prompt: 0.1, completion: 0.7 },
-    'gemini-2.0': { prompt: 0, completion: 0 }, // https://ai.google.dev/pricing
-    'gemini-1.5-flash-8b': { prompt: 0.075, completion: 0.3 },
-    'gemini-1.5-flash': { prompt: 0.15, completion: 0.6 },
-    'gemini-1.5': { prompt: 2.5, completion: 10 },
-    'gemini-pro-vision': { prompt: 0.5, completion: 1.5 },
-    gemini: { prompt: 0.5, completion: 1.5 },
+    'gemini-1.5': { prompt: 7, completion: 21 }, // May 2nd, 2024 pricing
+    gemini: { prompt: 0.5, completion: 1.5 }, // May 2nd, 2024 pricing
   },
   bedrockValues,
 );
@@ -123,8 +83,8 @@ const tokenValues = Object.assign(
 const cacheTokenValues = {
   'claude-3.5-sonnet': { write: 3.75, read: 0.3 },
   'claude-3-5-sonnet': { write: 3.75, read: 0.3 },
-  'claude-3.5-haiku': { write: 1, read: 0.08 },
-  'claude-3-5-haiku': { write: 1, read: 0.08 },
+  'claude-3.5-haiku': { write: 1.25, read: 0.1 },
+  'claude-3-5-haiku': { write: 1.25, read: 0.1 },
   'claude-3-haiku': { write: 0.3, read: 0.03 },
 };
 
@@ -248,11 +208,4 @@ const getCacheMultiplier = ({ valueKey, cacheType, model, endpoint, endpointToke
   return cacheTokenValues[valueKey]?.[cacheType] ?? null;
 };
 
-module.exports = {
-  tokenValues,
-  getValueKey,
-  getMultiplier,
-  getCacheMultiplier,
-  defaultRate,
-  cacheTokenValues,
-};
+module.exports = { tokenValues, getValueKey, getMultiplier, getCacheMultiplier, defaultRate };

api/models/tx.spec.js

@@ -4,7 +4,6 @@ const {
   tokenValues,
   getValueKey,
   getMultiplier,
-  cacheTokenValues,
   getCacheMultiplier,
 } = require('./tx');
 
@@ -212,7 +211,6 @@ describe('getMultiplier', () => {
 
 describe('AWS Bedrock Model Tests', () => {
   const awsModels = [
-    'anthropic.claude-3-5-haiku-20241022-v1:0',
     'anthropic.claude-3-haiku-20240307-v1:0',
     'anthropic.claude-3-sonnet-20240229-v1:0',
     'anthropic.claude-3-opus-20240229-v1:0',
@@ -239,9 +237,6 @@ describe('AWS Bedrock Model Tests', () => {
     'ai21.j2-ultra-v1',
     'amazon.titan-text-lite-v1',
     'amazon.titan-text-express-v1',
-    'amazon.nova-micro-v1:0',
-    'amazon.nova-lite-v1:0',
-    'amazon.nova-pro-v1:0',
   ];
 
   it('should return the correct prompt multipliers for all models', () => {
@@ -263,57 +258,14 @@ describe('AWS Bedrock Model Tests', () => {
   });
 });
 
-describe('Deepseek Model Tests', () => {
-  const deepseekModels = ['deepseek-chat', 'deepseek-coder', 'deepseek-reasoner'];
-
-  it('should return the correct prompt multipliers for all models', () => {
-    const results = deepseekModels.map((model) => {
-      const valueKey = getValueKey(model);
-      const multiplier = getMultiplier({ valueKey, tokenType: 'prompt' });
-      return tokenValues[valueKey].prompt && multiplier === tokenValues[valueKey].prompt;
-    });
-    expect(results.every(Boolean)).toBe(true);
-  });
-
-  it('should return the correct completion multipliers for all models', () => {
-    const results = deepseekModels.map((model) => {
-      const valueKey = getValueKey(model);
-      const multiplier = getMultiplier({ valueKey, tokenType: 'completion' });
-      return tokenValues[valueKey].completion && multiplier === tokenValues[valueKey].completion;
-    });
-    expect(results.every(Boolean)).toBe(true);
-  });
-
-  it('should return the correct prompt multipliers for reasoning model', () => {
-    const model = 'deepseek-reasoner';
-    const valueKey = getValueKey(model);
-    expect(valueKey).toBe(model);
-    const multiplier = getMultiplier({ valueKey, tokenType: 'prompt' });
-    const result = tokenValues[valueKey].prompt && multiplier === tokenValues[valueKey].prompt;
-    expect(result).toBe(true);
-  });
-});
-
 describe('getCacheMultiplier', () => {
   it('should return the correct cache multiplier for a given valueKey and cacheType', () => {
-    expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'write' })).toBe(
-      cacheTokenValues['claude-3-5-sonnet'].write,
-    );
-    expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'read' })).toBe(
-      cacheTokenValues['claude-3-5-sonnet'].read,
-    );
-    expect(getCacheMultiplier({ valueKey: 'claude-3-5-haiku', cacheType: 'write' })).toBe(
-      cacheTokenValues['claude-3-5-haiku'].write,
-    );
-    expect(getCacheMultiplier({ valueKey: 'claude-3-5-haiku', cacheType: 'read' })).toBe(
-      cacheTokenValues['claude-3-5-haiku'].read,
-    );
-    expect(getCacheMultiplier({ valueKey: 'claude-3-haiku', cacheType: 'write' })).toBe(
-      cacheTokenValues['claude-3-haiku'].write,
-    );
-    expect(getCacheMultiplier({ valueKey: 'claude-3-haiku', cacheType: 'read' })).toBe(
-      cacheTokenValues['claude-3-haiku'].read,
-    );
+    expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'write' })).toBe(3.75);
+    expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'read' })).toBe(0.3);
+    expect(getCacheMultiplier({ valueKey: 'claude-3-5-haiku', cacheType: 'write' })).toBe(1.25);
+    expect(getCacheMultiplier({ valueKey: 'claude-3-5-haiku', cacheType: 'read' })).toBe(0.1);
+    expect(getCacheMultiplier({ valueKey: 'claude-3-haiku', cacheType: 'write' })).toBe(0.3);
+    expect(getCacheMultiplier({ valueKey: 'claude-3-haiku', cacheType: 'read' })).toBe(0.03);
   });
 
   it('should return null if cacheType is provided but not found in cacheTokenValues', () => {
@@ -380,81 +332,3 @@ describe('getCacheMultiplier', () => {
     ).toBe(0.03);
   });
 });
-
-describe('Google Model Tests', () => {
-  const googleModels = [
-    'gemini-2.0-flash-lite-preview-02-05',
-    'gemini-2.0-flash-001',
-    'gemini-2.0-flash-exp',
-    'gemini-2.0-pro-exp-02-05',
-    'gemini-1.5-flash-8b',
-    'gemini-1.5-flash-thinking',
-    'gemini-1.5-pro-latest',
-    'gemini-1.5-pro-preview-0409',
-    'gemini-pro-vision',
-    'gemini-1.0',
-    'gemini-pro',
-  ];
-
-  it('should return the correct prompt and completion rates for all models', () => {
-    const results = googleModels.map((model) => {
-      const valueKey = getValueKey(model, EModelEndpoint.google);
-      const promptRate = getMultiplier({
-        model,
-        tokenType: 'prompt',
-        endpoint: EModelEndpoint.google,
-      });
-      const completionRate = getMultiplier({
-        model,
-        tokenType: 'completion',
-        endpoint: EModelEndpoint.google,
-      });
-      return { model, valueKey, promptRate, completionRate };
-    });
-
-    results.forEach(({ valueKey, promptRate, completionRate }) => {
-      expect(promptRate).toBe(tokenValues[valueKey].prompt);
-      expect(completionRate).toBe(tokenValues[valueKey].completion);
-    });
-  });
-
-  it('should map to the correct model keys', () => {
-    const expected = {
-      'gemini-2.0-flash-lite-preview-02-05': 'gemini-2.0-flash-lite',
-      'gemini-2.0-flash-001': 'gemini-2.0-flash',
-      'gemini-2.0-flash-exp': 'gemini-2.0-flash',
-      'gemini-2.0-pro-exp-02-05': 'gemini-2.0',
-      'gemini-1.5-flash-8b': 'gemini-1.5-flash-8b',
-      'gemini-1.5-flash-thinking': 'gemini-1.5-flash',
-      'gemini-1.5-pro-latest': 'gemini-1.5',
-      'gemini-1.5-pro-preview-0409': 'gemini-1.5',
-      'gemini-pro-vision': 'gemini-pro-vision',
-      'gemini-1.0': 'gemini',
-      'gemini-pro': 'gemini',
-    };
-
-    Object.entries(expected).forEach(([model, expectedKey]) => {
-      const valueKey = getValueKey(model, EModelEndpoint.google);
-      expect(valueKey).toBe(expectedKey);
-    });
-  });
-
-  it('should handle model names with different formats', () => {
-    const testCases = [
-      { input: 'google/gemini-pro', expected: 'gemini' },
-      { input: 'gemini-pro/google', expected: 'gemini' },
-      { input: 'google/gemini-2.0-flash-lite', expected: 'gemini-2.0-flash-lite' },
-    ];
-
-    testCases.forEach(({ input, expected }) => {
-      const valueKey = getValueKey(input, EModelEndpoint.google);
-      expect(valueKey).toBe(expected);
-      expect(
-        getMultiplier({ model: input, tokenType: 'prompt', endpoint: EModelEndpoint.google }),
-      ).toBe(tokenValues[expected].prompt);
-      expect(
-        getMultiplier({ model: input, tokenType: 'completion', endpoint: EModelEndpoint.google }),
-      ).toBe(tokenValues[expected].completion);
-    });
-  });
-});

api/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@librechat/backend",
-  "version": "v0.7.6",
+  "version": "v0.7.5",
   "description": "",
   "scripts": {
     "start": "echo 'please run this from the root directory'",
@@ -34,19 +34,17 @@
   },
   "homepage": "https://librechat.ai",
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.32.1",
+    "@anthropic-ai/sdk": "^0.16.1",
     "@azure/search-documents": "^12.0.0",
     "@google/generative-ai": "^0.21.0",
-    "@googleapis/youtube": "^20.0.0",
     "@keyv/mongo": "^2.1.8",
     "@keyv/redis": "^2.8.1",
-    "@langchain/community": "^0.3.14",
-    "@langchain/core": "^0.3.37",
-    "@langchain/google-genai": "^0.1.7",
-    "@langchain/google-vertexai": "^0.1.8",
+    "@langchain/community": "^0.3.13",
+    "@langchain/core": "^0.3.17",
+    "@langchain/google-genai": "^0.1.3",
+    "@langchain/google-vertexai": "^0.1.2",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^2.0.2",
-    "@waylaidwanderer/fetch-event-source": "^3.0.1",
+    "@librechat/agents": "^1.7.7",
     "axios": "^1.7.7",
     "bcryptjs": "^2.4.3",
     "cheerio": "^1.0.0-rc.12",
@@ -58,7 +56,7 @@
     "cors": "^2.8.5",
     "dedent": "^1.5.3",
     "dotenv": "^16.0.3",
-    "express": "^4.21.2",
+    "express": "^4.21.1",
     "express-mongo-sanitize": "^2.2.0",
     "express-rate-limit": "^7.4.1",
     "express-session": "^1.18.1",
@@ -75,22 +73,20 @@
     "klona": "^2.0.6",
     "langchain": "^0.2.19",
     "librechat-data-provider": "*",
-    "librechat-mcp": "*",
     "lodash": "^4.17.21",
     "meilisearch": "^0.38.0",
-    "memorystore": "^1.6.7",
     "mime": "^3.0.0",
     "module-alias": "^2.2.3",
-    "mongoose": "^8.9.5",
+    "mongoose": "^7.3.3",
     "multer": "^1.4.5-lts.1",
     "nanoid": "^3.3.7",
+    "nodejs-gpt": "^1.37.4",
     "nodemailer": "^6.9.15",
     "ollama": "^0.5.0",
     "openai": "^4.47.1",
     "openai-chat-tokens": "^0.2.8",
     "openid-client": "^5.4.2",
     "passport": "^0.6.0",
-    "passport-apple": "^2.0.2",
     "passport-custom": "^1.1.1",
     "passport-discord": "^0.1.4",
     "passport-facebook": "^3.0.0",
@@ -106,7 +102,6 @@
     "ua-parser-js": "^1.0.36",
     "winston": "^3.11.0",
     "winston-daily-rotate-file": "^4.7.1",
-    "youtube-transcript": "^1.2.1",
     "zod": "^3.22.4"
   },
   "devDependencies": {

api/server/controllers/AskController.js

@@ -1,6 +1,8 @@
-const { getResponseSender, Constants } = require('librechat-data-provider');
+const throttle = require('lodash/throttle');
+const { getResponseSender, Constants, CacheKeys, Time } = require('librechat-data-provider');
 const { createAbortController, handleAbortError } = require('~/server/middleware');
 const { sendMessage, createOnProgress } = require('~/server/utils');
+const { getLogStores } = require('~/cache');
 const { saveMessage } = require('~/models');
 const { logger } = require('~/config');
 
@@ -55,9 +57,33 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
 
   try {
     const { client } = await initializeClient({ req, res, endpointOption });
-    const { onProgress: progressCallback, getPartialText } = createOnProgress();
+    const messageCache = getLogStores(CacheKeys.MESSAGES);
+    const { onProgress: progressCallback, getPartialText } = createOnProgress({
+      onProgress: throttle(
+        ({ text: partialText }) => {
+          /*
+              const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
+          messageCache.set(responseMessageId, {
+            messageId: responseMessageId,
+            sender,
+            conversationId,
+            parentMessageId: overrideParentMessageId ?? userMessageId,
+            text: partialText,
+            model: client.modelOptions.model,
+            unfinished,
+            error: false,
+            user,
+          }, Time.FIVE_MINUTES);
+          */
 
-    getText = client.getStreamText != null ? client.getStreamText.bind(client) : getPartialText;
+          messageCache.set(responseMessageId, partialText, Time.FIVE_MINUTES);
+        },
+        3000,
+        { trailing: false },
+      ),
+    });
+
+    getText = getPartialText;
 
     const getAbortData = () => ({
       sender,
@@ -65,7 +91,7 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
       userMessagePromise,
       messageId: responseMessageId,
       parentMessageId: overrideParentMessageId ?? userMessageId,
-      text: getText(),
+      text: getPartialText(),
       userMessage,
       promptTokens,
     });
@@ -101,7 +127,6 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
       },
     };
 
-    /** @type {TMessage} */
     let response = await client.sendMessage(text, messageOptions);
     response.endpoint = endpointOption.endpoint;
 
@@ -125,13 +150,11 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
       });
       res.end();
 
-      if (!client.savedMessageIds.has(response.messageId)) {
-        await saveMessage(
-          req,
-          { ...response, user },
-          { context: 'api/server/controllers/AskController.js - response end' },
-        );
-      }
+      await saveMessage(
+        req,
+        { ...response, user },
+        { context: 'api/server/controllers/AskController.js - response end' },
+      );
     }
 
     if (!client.skipSaveUserMessage) {

api/server/controllers/AuthController.js

@@ -6,7 +6,8 @@ const {
   setAuthTokens,
   requestPasswordReset,
 } = require('~/server/services/AuthService');
-const { findSession, getUserById, deleteAllUserSessions } = require('~/models');
+const { hashToken } = require('~/server/utils/crypto');
+const { Session, getUserById } = require('~/models');
 const { logger } = require('~/config');
 
 const registrationController = async (req, res) => {
@@ -44,7 +45,6 @@ const resetPasswordController = async (req, res) => {
     if (resetPasswordService instanceof Error) {
       return res.status(400).json(resetPasswordService);
     } else {
-      await deleteAllUserSessions({ userId: req.body.userId });
       return res.status(200).json(resetPasswordService);
     }
   } catch (e) {
@@ -73,9 +73,11 @@ const refreshController = async (req, res) => {
       return res.status(200).send({ token, user });
     }
 
-    // Find the session with the hashed refresh token
-    const session = await findSession({ userId: userId, refreshToken: refreshToken });
+    // Hash the refresh token
+    const hashedToken = await hashToken(refreshToken);
 
+    // Find the session with the hashed refresh token
+    const session = await Session.findOne({ user: userId, refreshTokenHash: hashedToken });
     if (session && session.expiration > new Date()) {
       const token = await setAuthTokens(userId, res, session._id);
       res.status(200).send({ token, user });

api/server/controllers/EditController.js

@@ -1,6 +1,8 @@
-const { getResponseSender } = require('librechat-data-provider');
+const throttle = require('lodash/throttle');
+const { getResponseSender, CacheKeys, Time } = require('librechat-data-provider');
 const { createAbortController, handleAbortError } = require('~/server/middleware');
 const { sendMessage, createOnProgress } = require('~/server/utils');
+const { getLogStores } = require('~/cache');
 const { saveMessage } = require('~/models');
 const { logger } = require('~/config');
 
@@ -51,44 +53,62 @@ const EditController = async (req, res, next, initializeClient) => {
     }
   };
 
+  const messageCache = getLogStores(CacheKeys.MESSAGES);
   const { onProgress: progressCallback, getPartialText } = createOnProgress({
     generation,
+    onProgress: throttle(
+      ({ text: partialText }) => {
+        /*
+          const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
+        {
+          messageId: responseMessageId,
+          sender,
+          conversationId,
+          parentMessageId: overrideParentMessageId ?? userMessageId,
+          text: partialText,
+          model: endpointOption.modelOptions.model,
+          unfinished,
+          isEdited: true,
+          error: false,
+          user,
+        } */
+        messageCache.set(responseMessageId, partialText, Time.FIVE_MINUTES);
+      },
+      3000,
+      { trailing: false },
+    ),
   });
 
-  let getText;
+  const getAbortData = () => ({
+    conversationId,
+    userMessagePromise,
+    messageId: responseMessageId,
+    sender,
+    parentMessageId: overrideParentMessageId ?? userMessageId,
+    text: getPartialText(),
+    userMessage,
+    promptTokens,
+  });
+
+  const { abortController, onStart } = createAbortController(req, res, getAbortData, getReqData);
+
+  res.on('close', () => {
+    logger.debug('[EditController] Request closed');
+    if (!abortController) {
+      return;
+    } else if (abortController.signal.aborted) {
+      return;
+    } else if (abortController.requestCompleted) {
+      return;
+    }
+
+    abortController.abort();
+    logger.debug('[EditController] Request aborted on close');
+  });
 
   try {
     const { client } = await initializeClient({ req, res, endpointOption });
 
-    getText = client.getStreamText != null ? client.getStreamText.bind(client) : getPartialText;
-
-    const getAbortData = () => ({
-      conversationId,
-      userMessagePromise,
-      messageId: responseMessageId,
-      sender,
-      parentMessageId: overrideParentMessageId ?? userMessageId,
-      text: getText(),
-      userMessage,
-      promptTokens,
-    });
-
-    const { abortController, onStart } = createAbortController(req, res, getAbortData, getReqData);
-
-    res.on('close', () => {
-      logger.debug('[EditController] Request closed');
-      if (!abortController) {
-        return;
-      } else if (abortController.signal.aborted) {
-        return;
-      } else if (abortController.requestCompleted) {
-        return;
-      }
-
-      abortController.abort();
-      logger.debug('[EditController] Request aborted on close');
-    });
-
     let response = await client.sendMessage(text, {
       user,
       generation,
@@ -133,7 +153,7 @@ const EditController = async (req, res, next, initializeClient) => {
       );
     }
   } catch (error) {
-    const partialText = getText();
+    const partialText = getPartialText();
     handleAbortError(res, req, error, {
       partialText,
       conversationId,

api/server/controllers/EndpointController.js

@@ -1,7 +1,60 @@
-const { getEndpointsConfig } = require('~/server/services/Config');
+const { CacheKeys, EModelEndpoint, orderEndpointsConfig } = require('librechat-data-provider');
+const { loadDefaultEndpointsConfig, loadConfigEndpoints } = require('~/server/services/Config');
+const { getLogStores } = require('~/cache');
 
 async function endpointController(req, res) {
-  const endpointsConfig = await getEndpointsConfig(req);
+  const cache = getLogStores(CacheKeys.CONFIG_STORE);
+  const cachedEndpointsConfig = await cache.get(CacheKeys.ENDPOINT_CONFIG);
+  if (cachedEndpointsConfig) {
+    res.send(cachedEndpointsConfig);
+    return;
+  }
+
+  const defaultEndpointsConfig = await loadDefaultEndpointsConfig(req);
+  const customConfigEndpoints = await loadConfigEndpoints(req);
+
+  /** @type {TEndpointsConfig} */
+  const mergedConfig = { ...defaultEndpointsConfig, ...customConfigEndpoints };
+  if (mergedConfig[EModelEndpoint.assistants] && req.app.locals?.[EModelEndpoint.assistants]) {
+    const { disableBuilder, retrievalModels, capabilities, version, ..._rest } =
+      req.app.locals[EModelEndpoint.assistants];
+
+    mergedConfig[EModelEndpoint.assistants] = {
+      ...mergedConfig[EModelEndpoint.assistants],
+      version,
+      retrievalModels,
+      disableBuilder,
+      capabilities,
+    };
+  }
+
+  if (
+    mergedConfig[EModelEndpoint.azureAssistants] &&
+    req.app.locals?.[EModelEndpoint.azureAssistants]
+  ) {
+    const { disableBuilder, retrievalModels, capabilities, version, ..._rest } =
+      req.app.locals[EModelEndpoint.azureAssistants];
+
+    mergedConfig[EModelEndpoint.azureAssistants] = {
+      ...mergedConfig[EModelEndpoint.azureAssistants],
+      version,
+      retrievalModels,
+      disableBuilder,
+      capabilities,
+    };
+  }
+
+  if (mergedConfig[EModelEndpoint.bedrock] && req.app.locals?.[EModelEndpoint.bedrock]) {
+    const { availableRegions } = req.app.locals[EModelEndpoint.bedrock];
+    mergedConfig[EModelEndpoint.bedrock] = {
+      ...mergedConfig[EModelEndpoint.bedrock],
+      availableRegions,
+    };
+  }
+
+  const endpointsConfig = orderEndpointsConfig(mergedConfig);
+
+  await cache.set(CacheKeys.ENDPOINT_CONFIG, endpointsConfig);
   res.send(JSON.stringify(endpointsConfig));
 }
 

api/server/controllers/PluginController.js

@@ -1,8 +1,6 @@
+const { promises: fs } = require('fs');
 const { CacheKeys, AuthType } = require('librechat-data-provider');
 const { addOpenAPISpecs } = require('~/app/clients/tools/util/addOpenAPISpecs');
-const { getCustomConfig } = require('~/server/services/Config');
-const { availableTools } = require('~/app/clients/tools');
-const { getMCPManager } = require('~/config');
 const { getLogStores } = require('~/cache');
 
 /**
@@ -59,9 +57,10 @@ const getAvailablePluginsController = async (req, res) => {
 
     /** @type {{ filteredTools: string[], includedTools: string[] }} */
     const { filteredTools = [], includedTools = [] } = req.app.locals;
-    const pluginManifest = availableTools;
+    const pluginManifest = await fs.readFile(req.app.locals.paths.pluginManifest, 'utf8');
+    const jsonData = JSON.parse(pluginManifest);
 
-    const uniquePlugins = filterUniquePlugins(pluginManifest);
+    const uniquePlugins = filterUniquePlugins(jsonData);
     let authenticatedPlugins = [];
     for (const plugin of uniquePlugins) {
       authenticatedPlugins.push(
@@ -105,15 +104,11 @@ const getAvailableTools = async (req, res) => {
       return;
     }
 
-    const pluginManifest = availableTools;
-    const customConfig = await getCustomConfig();
-    if (customConfig?.mcpServers != null) {
-      const mcpManager = await getMCPManager();
-      await mcpManager.loadManifestTools(pluginManifest);
-    }
+    const pluginManifest = await fs.readFile(req.app.locals.paths.pluginManifest, 'utf8');
 
+    const jsonData = JSON.parse(pluginManifest);
     /** @type {TPlugin[]} */
-    const uniquePlugins = filterUniquePlugins(pluginManifest);
+    const uniquePlugins = filterUniquePlugins(jsonData);
 
     const authenticatedPlugins = uniquePlugins.map((plugin) => {
       if (checkPluginAuth(plugin)) {
@@ -123,12 +118,8 @@ const getAvailableTools = async (req, res) => {
       }
     });
 
-    const toolDefinitions = req.app.locals.availableTools;
     const tools = authenticatedPlugins.filter(
-      (plugin) =>
-        toolDefinitions[plugin.pluginKey] !== undefined ||
-        (plugin.toolkit === true &&
-          Object.keys(toolDefinitions).some((key) => key.startsWith(`${plugin.pluginKey}_`))),
+      (plugin) => req.app.locals.availableTools[plugin.pluginKey] !== undefined,
     );
 
     await cache.set(CacheKeys.TOOLS, tools);

api/server/controllers/UserController.js

@@ -1,4 +1,5 @@
 const {
+  Session,
   Balance,
   getFiles,
   deleteFiles,
@@ -6,7 +7,6 @@ const {
   deletePresets,
   deleteMessages,
   deleteUserById,
-  deleteAllUserSessions,
 } = require('~/models');
 const User = require('~/models/User');
 const { updateUserPluginAuth, deleteUserPluginAuth } = require('~/server/services/PluginService');
@@ -14,7 +14,6 @@ const { updateUserPluginsService, deleteUserKey } = require('~/server/services/U
 const { verifyEmail, resendVerificationEmail } = require('~/server/services/AuthService');
 const { processDeleteRequest } = require('~/server/services/Files/process');
 const { deleteAllSharedLinks } = require('~/models/Share');
-const { deleteToolCalls } = require('~/models/ToolCall');
 const { Transaction } = require('~/models/Transaction');
 const { logger } = require('~/config');
 
@@ -112,7 +111,7 @@ const deleteUserController = async (req, res) => {
 
   try {
     await deleteMessages({ user: user.id }); // delete user messages
-    await deleteAllUserSessions({ userId: user.id }); // delete user sessions
+    await Session.deleteMany({ user: user.id }); // delete user sessions
     await Transaction.deleteMany({ user: user.id }); // delete user transactions
     await deleteUserKey({ userId: user.id, all: true }); // delete user keys
     await Balance.deleteMany({ user: user._id }); // delete user balances
@@ -124,7 +123,6 @@ const deleteUserController = async (req, res) => {
     await deleteAllSharedLinks(user.id); // delete user shared links
     await deleteUserFiles(req); // delete user files
     await deleteFiles(null, user.id); // delete database files in case of orphaned files from previous steps
-    await deleteToolCalls(user.id); // delete user tool calls
     /* TODO: queue job for cleaning actions and assistants of non-existant users */
     logger.info(`User deleted account. Email: ${user.email} ID: ${user.id}`);
     res.status(200).send({ message: 'User deleted' });

api/server/controllers/agents/callbacks.js

@@ -1,17 +1,13 @@
-const { Tools, StepTypes, imageGenTools, FileContext } = require('librechat-data-provider');
+const { Tools } = require('librechat-data-provider');
 const {
   EnvVar,
-  Providers,
   GraphEvents,
-  getMessageId,
   ToolEndHandler,
-  handleToolCalls,
   ChatModelStreamHandler,
 } = require('@librechat/agents');
 const { processCodeOutput } = require('~/server/services/Files/Code/process');
-const { saveBase64Image } = require('~/server/services/Files/process');
 const { loadAuthValues } = require('~/app/clients/tools/util');
-const { logger, sendEvent } = require('~/config');
+const { logger } = require('~/config');
 
 /** @typedef {import('@librechat/agents').Graph} Graph */
 /** @typedef {import('@librechat/agents').EventHandler} EventHandler */
@@ -22,6 +18,20 @@ const { logger, sendEvent } = require('~/config');
 /** @typedef {import('@librechat/agents').ContentAggregatorResult['aggregateContent']} ContentAggregator */
 /** @typedef {import('@librechat/agents').GraphEvents} GraphEvents */
 
+/**
+ * Sends message data in Server Sent Events format.
+ * @param {ServerResponse} res - The server response.
+ * @param {{ data: string | Record<string, unknown>, event?: string }} event - The message event.
+ * @param {string} event.event - The type of event.
+ * @param {string} event.data - The message to be sent.
+ */
+const sendEvent = (res, event) => {
+  if (typeof event.data === 'string' && event.data.length === 0) {
+    return;
+  }
+  res.write(`event: message\ndata: ${JSON.stringify(event)}\n\n`);
+};
+
 class ModelEndHandler {
   /**
    * @param {Array<UsageMetadata>} collectedUsage
@@ -46,54 +56,10 @@ class ModelEndHandler {
       return;
     }
 
-    try {
-      if (metadata.provider === Providers.GOOGLE || graph.clientOptions?.disableStreaming) {
-        handleToolCalls(data?.output?.tool_calls, metadata, graph);
-      }
-
-      const usage = data?.output?.usage_metadata;
-      if (!usage) {
-        return;
-      }
-      if (metadata?.model) {
-        usage.model = metadata.model;
-      }
+    const usage = data?.output?.usage_metadata;
 
+    if (usage) {
       this.collectedUsage.push(usage);
-      if (!graph.clientOptions?.disableStreaming) {
-        return;
-      }
-      if (!data.output.content) {
-        return;
-      }
-      const stepKey = graph.getStepKey(metadata);
-      const message_id = getMessageId(stepKey, graph) ?? '';
-      if (message_id) {
-        graph.dispatchRunStep(stepKey, {
-          type: StepTypes.MESSAGE_CREATION,
-          message_creation: {
-            message_id,
-          },
-        });
-      }
-      const stepId = graph.getStepIdByKey(stepKey);
-      const content = data.output.content;
-      if (typeof content === 'string') {
-        graph.dispatchMessageDelta(stepId, {
-          content: [
-            {
-              type: 'text',
-              text: content,
-            },
-          ],
-        });
-      } else if (content.every((c) => c.type?.startsWith('text'))) {
-        graph.dispatchMessageDelta(stepId, {
-          content,
-        });
-      }
-    } catch (error) {
-      logger.error('Error handling model end event:', error);
     }
   }
 }
@@ -123,27 +89,9 @@ function getDefaultHandlers({ res, aggregateContent, toolEndCallback, collectedU
        * Handle ON_RUN_STEP event.
        * @param {string} event - The event name.
        * @param {StreamEventData} data - The event data.
-       * @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
        */
-      handle: (event, data, metadata) => {
-        if (data?.stepDetails.type === StepTypes.TOOL_CALLS) {
-          sendEvent(res, { event, data });
-        } else if (metadata?.last_agent_index === metadata?.agent_index) {
-          sendEvent(res, { event, data });
-        } else if (!metadata?.hide_sequential_outputs) {
-          sendEvent(res, { event, data });
-        } else {
-          const agentName = metadata?.name ?? 'Agent';
-          const isToolCall = data?.stepDetails.type === StepTypes.TOOL_CALLS;
-          const action = isToolCall ? 'performing a task...' : 'thinking...';
-          sendEvent(res, {
-            event: 'on_agent_update',
-            data: {
-              runId: metadata?.run_id,
-              message: `${agentName} is ${action}`,
-            },
-          });
-        }
+      handle: (event, data) => {
+        sendEvent(res, { event, data });
         aggregateContent({ event, data });
       },
     },
@@ -152,16 +100,9 @@ function getDefaultHandlers({ res, aggregateContent, toolEndCallback, collectedU
        * Handle ON_RUN_STEP_DELTA event.
        * @param {string} event - The event name.
        * @param {StreamEventData} data - The event data.
-       * @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
        */
-      handle: (event, data, metadata) => {
-        if (data?.delta.type === StepTypes.TOOL_CALLS) {
-          sendEvent(res, { event, data });
-        } else if (metadata?.last_agent_index === metadata?.agent_index) {
-          sendEvent(res, { event, data });
-        } else if (!metadata?.hide_sequential_outputs) {
-          sendEvent(res, { event, data });
-        }
+      handle: (event, data) => {
+        sendEvent(res, { event, data });
         aggregateContent({ event, data });
       },
     },
@@ -170,16 +111,9 @@ function getDefaultHandlers({ res, aggregateContent, toolEndCallback, collectedU
        * Handle ON_RUN_STEP_COMPLETED event.
        * @param {string} event - The event name.
        * @param {StreamEventData & { result: ToolEndData }} data - The event data.
-       * @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
        */
-      handle: (event, data, metadata) => {
-        if (data?.result != null) {
-          sendEvent(res, { event, data });
-        } else if (metadata?.last_agent_index === metadata?.agent_index) {
-          sendEvent(res, { event, data });
-        } else if (!metadata?.hide_sequential_outputs) {
-          sendEvent(res, { event, data });
-        }
+      handle: (event, data) => {
+        sendEvent(res, { event, data });
         aggregateContent({ event, data });
       },
     },
@@ -188,14 +122,9 @@ function getDefaultHandlers({ res, aggregateContent, toolEndCallback, collectedU
        * Handle ON_MESSAGE_DELTA event.
        * @param {string} event - The event name.
        * @param {StreamEventData} data - The event data.
-       * @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
        */
-      handle: (event, data, metadata) => {
-        if (metadata?.last_agent_index === metadata?.agent_index) {
-          sendEvent(res, { event, data });
-        } else if (!metadata?.hide_sequential_outputs) {
-          sendEvent(res, { event, data });
-        }
+      handle: (event, data) => {
+        sendEvent(res, { event, data });
         aggregateContent({ event, data });
       },
     },
@@ -222,88 +151,16 @@ function createToolEndCallback({ req, res, artifactPromises }) {
       return;
     }
 
-    if (!output.artifact) {
+    if (output.name !== Tools.execute_code) {
       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;
-        }),
-      );
+    const { tool_call_id, artifact } = output;
+    if (!artifact.files) {
       return;
     }
 
-    if (output.artifact.content) {
-      /** @type {FormattedContent[]} */
-      const content = output.artifact.content;
-      for (const part of content) {
-        if (part.type !== 'image_url') {
-          continue;
-        }
-        const { url } = part.image_url;
-        artifactPromises.push(
-          (async () => {
-            const filename = `${output.tool_call_id}-image-${new Date().getTime()}`;
-            const file = await saveBase64Image(url, {
-              req,
-              filename,
-              endpoint: metadata.provider,
-              context: FileContext.image_generation,
-            });
-            const fileMetadata = Object.assign(file, {
-              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 artifact content:', error);
-            return null;
-          }),
-        );
-      }
-      return;
-    }
-
-    {
-      if (output.name !== Tools.execute_code) {
-        return;
-      }
-    }
-
-    if (!output.artifact.files) {
-      return;
-    }
-
-    for (const file of output.artifact.files) {
+    for (const file of artifact.files) {
       const { id, name } = file;
       artifactPromises.push(
         (async () => {
@@ -316,10 +173,10 @@ function createToolEndCallback({ req, res, artifactPromises }) {
             id,
             name,
             apiKey: result[EnvVar.CODE_API_KEY],
+            toolCallId: tool_call_id,
             messageId: metadata.run_id,
-            toolCallId: output.tool_call_id,
+            session_id: artifact.session_id,
             conversationId: metadata.thread_id,
-            session_id: output.artifact.session_id,
           });
           if (!res.headersSent) {
             return fileMetadata;
@@ -341,6 +198,7 @@ function createToolEndCallback({ req, res, artifactPromises }) {
 }
 
 module.exports = {
+  sendEvent,
   getDefaultHandlers,
   createToolEndCallback,
 };

api/server/controllers/agents/client.js

@@ -12,11 +12,9 @@ const {
   Constants,
   VisionModes,
   openAISchema,
-  ContentTypes,
   EModelEndpoint,
   KnownEndpoints,
   anthropicSchema,
-  isAgentsEndpoint,
   bedrockOutputParser,
   removeNullishValues,
 } = require('librechat-data-provider');
@@ -32,15 +30,14 @@ const {
   createContextHandlers,
 } = require('~/app/clients/prompts');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
-const { getBufferString, HumanMessage } = require('@langchain/core/messages');
 const Tokenizer = require('~/server/services/Tokenizer');
 const { spendTokens } = require('~/models/spendTokens');
 const BaseClient = require('~/app/clients/BaseClient');
+// const { sleep } = require('~/server/utils');
 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,
@@ -51,18 +48,9 @@ const providerParsers = {
 
 const legacyContentEndpoints = new Set([KnownEndpoints.groq, KnownEndpoints.deepseek]);
 
-const noSystemModelRegex = [/\bo1\b/gi];
-
-// const { processMemory, memoryInstructions } = require('~/server/services/Endpoints/agents/memory');
-// const { getFormattedMemories } = require('~/models/Memory');
-// const { getCurrentDateTime } = require('~/utils');
-
 class AgentClient extends BaseClient {
   constructor(options = {}) {
     super(null, options);
-    /** The current client class
-     * @type {string} */
-    this.clientName = EModelEndpoint.agents;
 
     /** @type {'discard' | 'summarize'} */
     this.contextStrategy = 'discard';
@@ -74,15 +62,15 @@ class AgentClient extends BaseClient {
     this.run;
 
     const {
-      agentConfigs,
       contentParts,
       collectedUsage,
       artifactPromises,
       maxContextTokens,
+      modelOptions = {},
       ...clientOptions
     } = options;
 
-    this.agentConfigs = agentConfigs;
+    this.modelOptions = modelOptions;
     this.maxContextTokens = maxContextTokens;
     /** @type {MessageContentComplex[]} */
     this.contentParts = contentParts;
@@ -92,16 +80,6 @@ class AgentClient extends BaseClient {
     this.artifactPromises = artifactPromises;
     /** @type {AgentClientOptions} */
     this.options = Object.assign({ endpoint: options.endpoint }, clientOptions);
-    /** @type {string} */
-    this.model = this.options.agent.model_parameters.model;
-    /** The key for the usage object's input tokens
-     * @type {string} */
-    this.inputTokensKey = 'input_tokens';
-    /** The key for the usage object's output tokens
-     * @type {string} */
-    this.outputTokensKey = 'output_tokens';
-    /** @type {UsageMetadata} */
-    this.usage;
   }
 
   /**
@@ -191,7 +169,7 @@ class AgentClient extends BaseClient {
         : {};
 
     if (parseOptions) {
-      runOptions = parseOptions(this.options.agent.model_parameters);
+      runOptions = parseOptions(this.modelOptions);
     }
 
     return removeNullishValues(
@@ -204,7 +182,6 @@ class AgentClient extends BaseClient {
           resendFiles: this.options.resendFiles,
           imageDetail: this.options.imageDetail,
           spec: this.options.spec,
-          iconURL: this.options.iconURL,
         },
         // TODO: PARSE OPTIONS BY PROVIDER, MAY CONTAIN SENSITIVE DATA
         runOptions,
@@ -247,28 +224,7 @@ class AgentClient extends BaseClient {
     let promptTokens;
 
     /** @type {string} */
-    let systemContent = [instructions ?? '', additional_instructions ?? '']
-      .filter(Boolean)
-      .join('\n')
-      .trim();
-    // this.systemMessage = getCurrentDateTime();
-    // const { withKeys, withoutKeys } = await getFormattedMemories({
-    //   userId: this.options.req.user.id,
-    // });
-    // processMemory({
-    //   userId: this.options.req.user.id,
-    //   message: this.options.req.body.text,
-    //   parentMessageId,
-    //   memory: withKeys,
-    //   thread_id: this.conversationId,
-    // }).catch((error) => {
-    //   logger.error('Memory Agent failed to process memory', error);
-    // });
-
-    // this.systemMessage += '\n\n' + memoryInstructions;
-    // if (withoutKeys) {
-    //   this.systemMessage += `\n\n# Existing memory about the user:\n${withoutKeys}`;
-    // }
+    let systemContent = `${instructions ?? ''}${additional_instructions ?? ''}`;
 
     if (this.options.attachments) {
       const attachments = await this.options.attachments;
@@ -289,8 +245,7 @@ class AgentClient extends BaseClient {
       this.options.attachments = files;
     }
 
-    /** Note: Bedrock uses legacy RAG API handling */
-    if (this.message_file_map && !isAgentsEndpoint(this.options.endpoint)) {
+    if (this.message_file_map) {
       this.contextHandlers = createContextHandlers(
         this.options.req,
         orderedMessages[orderedMessages.length - 1].text,
@@ -340,18 +295,16 @@ class AgentClient extends BaseClient {
       this.options.agent.instructions = systemContent;
     }
 
-    /** @type {Record<string, number> | undefined} */
-    let tokenCountMap;
-
     if (this.contextStrategy) {
-      ({ payload, promptTokens, tokenCountMap, messages } = await this.handleContextStrategy({
+      ({ payload, promptTokens, messages } = await this.handleContextStrategy({
         orderedMessages,
         formattedMessages,
+        /* prefer usage_metadata from final message */
+        buildTokenMap: false,
       }));
     }
 
     const result = {
-      tokenCountMap,
       prompt: payload,
       promptTokens,
       messages,
@@ -366,6 +319,7 @@ class AgentClient extends BaseClient {
 
   /** @type {sendCompletion} */
   async sendCompletion(payload, opts = {}) {
+    this.modelOptions.user = this.user;
     await this.chatCompletion({
       payload,
       onProgress: opts.onProgress,
@@ -381,94 +335,18 @@ class AgentClient extends BaseClient {
    * @param {UsageMetadata[]} [params.collectedUsage=this.collectedUsage]
    */
   async recordCollectedUsage({ model, context = 'message', collectedUsage = this.collectedUsage }) {
-    if (!collectedUsage || !collectedUsage.length) {
-      return;
-    }
-    const input_tokens = collectedUsage[0]?.input_tokens || 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 (i > 0) {
-        // Count new tokens generated (input_tokens minus previous accumulated tokens)
-        output_tokens += (Number(usage.input_tokens) || 0) - previousTokens;
-      }
-
-      // Add this message's output tokens
-      output_tokens += Number(usage.output_tokens) || 0;
-
-      // Update previousTokens to include this message's output
-      previousTokens += Number(usage.output_tokens) || 0;
-      spendTokens(
+    for (const usage of collectedUsage) {
+      await spendTokens(
         {
           context,
+          model: model ?? this.modelOptions.model,
           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) => {
-        logger.error(
-          '[api/server/controllers/agents/client.js #recordCollectedUsage] Error spending tokens',
-          err,
-        );
-      });
+      );
     }
-
-    this.usage = {
-      input_tokens,
-      output_tokens,
-    };
-  }
-
-  /**
-   * Get stream usage as returned by this client's API response.
-   * @returns {UsageMetadata} The stream usage object.
-   */
-  getStreamUsage() {
-    return this.usage;
-  }
-
-  /**
-   * @param {TMessage} responseMessage
-   * @returns {number}
-   */
-  getTokenCountForResponse({ content }) {
-    return this.getTokenCountForMessage({
-      role: 'assistant',
-      content,
-    });
-  }
-
-  /**
-   * Calculates the correct token count for the current user message based on the token count map and API usage.
-   * Edge case: If the calculation results in a negative value, it returns the original estimate.
-   * If revisiting a conversation with a chat history entirely composed of token estimates,
-   * the cumulative token count going forward should become more accurate as the conversation progresses.
-   * @param {Object} params - The parameters for the calculation.
-   * @param {Record<string, number>} params.tokenCountMap - A map of message IDs to their token counts.
-   * @param {string} params.currentMessageId - The ID of the current message to calculate.
-   * @param {OpenAIUsageMetadata} params.usage - The usage object returned by the API.
-   * @returns {number} The correct token count for the current user message.
-   */
-  calculateCurrentTokenCount({ tokenCountMap, currentMessageId, usage }) {
-    const originalEstimate = tokenCountMap[currentMessageId] || 0;
-
-    if (!usage || typeof usage[this.inputTokensKey] !== 'number') {
-      return originalEstimate;
-    }
-
-    tokenCountMap[currentMessageId] = 0;
-    const totalTokensFromMap = Object.values(tokenCountMap).reduce((sum, count) => {
-      const numCount = Number(count);
-      return sum + (isNaN(numCount) ? 0 : numCount);
-    }, 0);
-    const totalInputTokens = usage[this.inputTokensKey] ?? 0;
-
-    const currentMessageTokens = totalInputTokens - totalTokensFromMap;
-    return currentMessageTokens > 0 ? currentMessageTokens : originalEstimate;
   }
 
   async chatCompletion({ payload, abortController = null }) {
@@ -579,200 +457,49 @@ class AgentClient extends BaseClient {
       //   });
       // }
 
-      /** @type {Partial<RunnableConfig> & { version: 'v1' | 'v2'; run_id?: string; streamMode: string }} */
+      const run = await createRun({
+        req: this.options.req,
+        agent: this.options.agent,
+        tools: this.options.tools,
+        runId: this.responseMessageId,
+        modelOptions: this.modelOptions,
+        customHandlers: this.options.eventHandlers,
+      });
+
       const config = {
         configurable: {
           thread_id: this.conversationId,
-          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,
         signal: abortController.signal,
         streamMode: 'values',
         version: 'v2',
       };
 
-      const initialMessages = formatAgentMessages(payload);
+      if (!run) {
+        throw new Error('Failed to create run');
+      }
+
+      this.run = run;
+
+      const messages = formatAgentMessages(payload);
       if (legacyContentEndpoints.has(this.options.agent.endpoint)) {
-        formatContentStrings(initialMessages);
+        formatContentStrings(messages);
       }
-
-      /** @type {ReturnType<createRun>} */
-      let run;
-
-      /**
-       *
-       * @param {Agent} agent
-       * @param {BaseMessage[]} messages
-       * @param {number} [i]
-       * @param {TMessageContentParts[]} [contentData]
-       */
-      const runAgent = async (agent, messages, i = 0, contentData = []) => {
-        config.configurable.model = agent.model_parameters.model;
-        if (i > 0) {
-          this.model = agent.model_parameters.model;
-        }
-        config.configurable.agent_id = agent.id;
-        config.configurable.name = agent.name;
-        config.configurable.agent_index = i;
-        const noSystemMessages = noSystemModelRegex.some((regex) =>
-          agent.model_parameters.model.match(regex),
-        );
-
-        const systemMessage = Object.values(agent.toolContextMap ?? {})
-          .join('\n')
-          .trim();
-
-        let systemContent = [
-          systemMessage,
-          agent.instructions ?? '',
-          i !== 0 ? agent.additional_instructions ?? '' : '',
-        ]
-          .join('\n')
-          .trim();
-
-        if (noSystemMessages === true) {
-          agent.instructions = undefined;
-          agent.additional_instructions = undefined;
-        } else {
-          agent.instructions = systemContent;
-          agent.additional_instructions = undefined;
-        }
-
-        if (noSystemMessages === true && systemContent?.length) {
-          let latestMessage = messages.pop().content;
-          if (typeof latestMessage !== 'string') {
-            latestMessage = latestMessage[0].text;
-          }
-          latestMessage = [systemContent, latestMessage].join('\n');
-          messages.push(new HumanMessage(latestMessage));
-        }
-
-        run = await createRun({
-          agent,
-          req: this.options.req,
-          runId: this.responseMessageId,
-          signal: abortController.signal,
-          customHandlers: this.options.eventHandlers,
-        });
-
-        if (!run) {
-          throw new Error('Failed to create run');
-        }
-
-        if (i === 0) {
-          this.run = run;
-        }
-
-        if (contentData.length) {
-          run.Graph.contentData = contentData;
-        }
-
-        await run.processStream({ messages }, config, {
-          keepContent: i !== 0,
-          callbacks: {
-            [Callback.TOOL_ERROR]: (graph, error, toolId) => {
-              logger.error(
-                '[api/server/controllers/agents/client.js #chatCompletion] Tool Error',
-                error,
-                toolId,
-              );
-            },
-          },
-        });
-      };
-
-      await runAgent(this.options.agent, initialMessages);
-
-      let finalContentStart = 0;
-      if (this.agentConfigs && this.agentConfigs.size > 0) {
-        let latestMessage = initialMessages.pop().content;
-        if (typeof latestMessage !== 'string') {
-          latestMessage = latestMessage[0].text;
-        }
-        let i = 1;
-        let runMessages = [];
-
-        const lastFiveMessages = initialMessages.slice(-5);
-        for (const [agentId, agent] of this.agentConfigs) {
-          if (abortController.signal.aborted === true) {
-            break;
-          }
-          const currentRun = await run;
-
-          if (
-            i === this.agentConfigs.size &&
-            config.configurable.hide_sequential_outputs === true
-          ) {
-            const content = this.contentParts.filter(
-              (part) => part.type === ContentTypes.TOOL_CALL,
-            );
-
-            this.options.res.write(
-              `event: message\ndata: ${JSON.stringify({
-                event: 'on_content_update',
-                data: {
-                  runId: this.responseMessageId,
-                  content,
-                },
-              })}\n\n`,
-            );
-          }
-          const _runMessages = currentRun.Graph.getRunMessages();
-          finalContentStart = this.contentParts.length;
-          runMessages = runMessages.concat(_runMessages);
-          const contentData = currentRun.Graph.contentData.slice();
-          const bufferString = getBufferString([new HumanMessage(latestMessage), ...runMessages]);
-          if (i === this.agentConfigs.size) {
-            logger.debug(`SEQUENTIAL AGENTS: Last buffer string:\n${bufferString}`);
-          }
-          try {
-            const contextMessages = [];
-            for (const message of lastFiveMessages) {
-              const messageType = message._getType();
-              if (
-                (!agent.tools || agent.tools.length === 0) &&
-                (messageType === 'tool' || (message.tool_calls?.length ?? 0) > 0)
-              ) {
-                continue;
-              }
-
-              contextMessages.push(message);
-            }
-            const currentMessages = [...contextMessages, new HumanMessage(bufferString)];
-            await runAgent(agent, currentMessages, i, contentData);
-          } catch (err) {
-            logger.error(
-              `[api/server/controllers/agents/client.js #chatCompletion] Error running agent ${agentId} (${i})`,
-              err,
-            );
-          }
-          i++;
-        }
-      }
-
-      if (config.configurable.hide_sequential_outputs !== true) {
-        finalContentStart = 0;
-      }
-
-      this.contentParts = this.contentParts.filter((part, index) => {
-        // Include parts that are either:
-        // 1. At or after the finalContentStart index
-        // 2. Of type tool_call
-        // 3. Have tool_call_ids property
-        return (
-          index >= finalContentStart || part.type === ContentTypes.TOOL_CALL || part.tool_call_ids
-        );
+      await run.processStream({ messages }, config, {
+        [Callback.TOOL_ERROR]: (graph, error, toolId) => {
+          logger.error(
+            '[api/server/controllers/agents/client.js #chatCompletion] Tool Error',
+            error,
+            toolId,
+          );
+        },
       });
-
-      try {
-        await this.recordCollectedUsage({ context: 'message' });
-      } catch (err) {
+      this.recordCollectedUsage({ context: 'message' }).catch((err) => {
         logger.error(
           '[api/server/controllers/agents/client.js #chatCompletion] Error recording collected usage',
           err,
         );
-      }
+      });
     } catch (err) {
       if (!abortController.signal.aborted) {
         logger.error(
@@ -858,11 +585,8 @@ class AgentClient extends BaseClient {
     }
   }
 
-  /** Silent method, as `recordCollectedUsage` is used instead */
-  async recordTokenUsage() {}
-
   getEncoding() {
-    return 'o200k_base';
+    return this.modelOptions.model?.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
   }
 
   /**

api/server/controllers/agents/request.js

@@ -94,14 +94,8 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
     conversation.title =
       conversation && !conversation.title ? null : conversation?.title || 'New Chat';
 
-    if (req.body.files && client.options.attachments) {
-      userMessage.files = [];
-      const messageFiles = new Set(req.body.files.map((file) => file.file_id));
-      for (let attachment of client.options.attachments) {
-        if (messageFiles.has(attachment.file_id)) {
-          userMessage.files.push(attachment);
-        }
-      }
+    if (client.options.attachments) {
+      userMessage.files = client.options.attachments;
       delete userMessage.image_urls;
     }
 
@@ -115,13 +109,11 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
       });
       res.end();
 
-      if (!client.savedMessageIds.has(response.messageId)) {
-        await saveMessage(
-          req,
-          { ...response, user },
-          { context: 'api/server/controllers/agents/request.js - response end' },
-        );
-      }
+      await saveMessage(
+        req,
+        { ...response, user },
+        { context: 'api/server/controllers/agents/request.js - response end' },
+      );
     }
 
     if (!client.skipSaveUserMessage) {

api/server/controllers/agents/run.js

@@ -3,8 +3,8 @@ const { providerEndpointMap } = require('librechat-data-provider');
 
 /**
  * @typedef {import('@librechat/agents').t} t
- * @typedef {import('@librechat/agents').StandardGraphConfig} StandardGraphConfig
  * @typedef {import('@librechat/agents').StreamEventData} StreamEventData
+ * @typedef {import('@librechat/agents').ClientOptions} ClientOptions
  * @typedef {import('@librechat/agents').EventHandler} EventHandler
  * @typedef {import('@librechat/agents').GraphEvents} GraphEvents
  * @typedef {import('@librechat/agents').IState} IState
@@ -17,16 +17,18 @@ const { providerEndpointMap } = require('librechat-data-provider');
  * @param {ServerRequest} [options.req] - The server request.
  * @param {string | undefined} [options.runId] - Optional run ID; otherwise, a new run ID will be generated.
  * @param {Agent} options.agent - The agent for this run.
- * @param {AbortSignal} options.signal - The signal for this run.
+ * @param {StructuredTool[] | undefined} [options.tools] - The tools to use in the run.
  * @param {Record<GraphEvents, EventHandler> | undefined} [options.customHandlers] - Custom event handlers.
+ * @param {ClientOptions} [options.modelOptions] - Optional model to use; if not provided, it will use the default from modelMap.
  * @param {boolean} [options.streaming=true] - Whether to use streaming.
  * @param {boolean} [options.streamUsage=true] - Whether to stream usage information.
  * @returns {Promise<Run<IState>>} A promise that resolves to a new Run instance.
  */
 async function createRun({
   runId,
+  tools,
   agent,
-  signal,
+  modelOptions,
   customHandlers,
   streaming = true,
   streamUsage = true,
@@ -38,22 +40,14 @@ async function createRun({
       streaming,
       streamUsage,
     },
-    agent.model_parameters,
+    modelOptions,
   );
 
-  if (/o1(?!-(?:mini|preview)).*$/.test(llmConfig.model)) {
-    llmConfig.streaming = false;
-    llmConfig.disableStreaming = true;
-  }
-
-  /** @type {StandardGraphConfig} */
   const graphConfig = {
-    signal,
+    tools,
     llmConfig,
-    tools: agent.tools,
     instructions: agent.instructions,
     additional_instructions: agent.additional_instructions,
-    // toolEnd: agent.end_after_tools,
   };
 
   // TEMPORARY FOR TESTING

api/server/controllers/agents/v1.js

@@ -1,12 +1,6 @@
 const fs = require('fs').promises;
 const { nanoid } = require('nanoid');
-const {
-  FileContext,
-  Constants,
-  Tools,
-  SystemRoles,
-  actionDelimiter,
-} = require('librechat-data-provider');
+const { FileContext, Constants, Tools, SystemRoles } = require('librechat-data-provider');
 const {
   getAgent,
   createAgent,
@@ -16,7 +10,6 @@ const {
 } = require('~/models/Agent');
 const { uploadImageBuffer, filterFile } = require('~/server/services/Files/process');
 const { getStrategyFunctions } = require('~/server/services/Files/strategies');
-const { updateAction, getActions } = require('~/models/Action');
 const { getProjectByName } = require('~/models/Project');
 const { updateAgentProjects } = require('~/models/Agent');
 const { deleteFileByFilter } = require('~/models/File');
@@ -118,6 +111,7 @@ const getAgentHandler = async (req, res) => {
         isCollaborative: agent.isCollaborative,
       });
     }
+
     return res.status(200).json(agent);
   } catch (error) {
     logger.error('[/Agents/:id] Error retrieving agent', error);
@@ -138,24 +132,16 @@ const updateAgentHandler = async (req, res) => {
   try {
     const id = req.params.id;
     const { projectIds, removeProjectIds, ...updateData } = req.body;
-    const isAdmin = req.user.role === SystemRoles.ADMIN;
-    const existingAgent = await getAgent({ id });
-    const isAuthor = existingAgent.author.toString() === req.user.id;
 
-    if (!existingAgent) {
-      return res.status(404).json({ error: 'Agent not found' });
+    let updatedAgent;
+    const query = { id, author: req.user.id };
+    if (req.user.role === SystemRoles.ADMIN) {
+      delete query.author;
     }
-    const hasEditPermission = existingAgent.isCollaborative || isAdmin || isAuthor;
-
-    if (!hasEditPermission) {
-      return res.status(403).json({
-        error: 'You do not have permission to modify this non-collaborative agent',
-      });
+    if (Object.keys(updateData).length > 0) {
+      updatedAgent = await updateAgent(query, updateData);
     }
 
-    let updatedAgent =
-      Object.keys(updateData).length > 0 ? await updateAgent({ id }, updateData) : existingAgent;
-
     if (projectIds || removeProjectIds) {
       updatedAgent = await updateAgentProjects({
         user: req.user,
@@ -180,99 +166,6 @@ const updateAgentHandler = async (req, res) => {
   }
 };
 
-/**
- * Duplicates an Agent based on the provided ID.
- * @route POST /Agents/:id/duplicate
- * @param {object} req - Express Request
- * @param {object} req.params - Request params
- * @param {string} req.params.id - Agent identifier.
- * @returns {Agent} 201 - success response - application/json
- */
-const duplicateAgentHandler = async (req, res) => {
-  const { id } = req.params;
-  const { id: userId } = req.user;
-  const sensitiveFields = ['api_key', 'oauth_client_id', 'oauth_client_secret'];
-
-  try {
-    const agent = await getAgent({ id });
-    if (!agent) {
-      return res.status(404).json({
-        error: 'Agent not found',
-        status: 'error',
-      });
-    }
-
-    const {
-      _id: __id,
-      id: _id,
-      author: _author,
-      createdAt: _createdAt,
-      updatedAt: _updatedAt,
-      ...cloneData
-    } = agent;
-
-    const newAgentId = `agent_${nanoid()}`;
-    const newAgentData = Object.assign(cloneData, {
-      id: newAgentId,
-      author: userId,
-    });
-
-    const newActionsList = [];
-    const originalActions = (await getActions({ agent_id: id }, true)) ?? [];
-    const promises = [];
-
-    /**
-     * Duplicates an action and returns the new action ID.
-     * @param {Action} action
-     * @returns {Promise<string>}
-     */
-    const duplicateAction = async (action) => {
-      const newActionId = nanoid();
-      const [domain] = action.action_id.split(actionDelimiter);
-      const fullActionId = `${domain}${actionDelimiter}${newActionId}`;
-
-      const newAction = await updateAction(
-        { action_id: newActionId },
-        {
-          metadata: action.metadata,
-          agent_id: newAgentId,
-          user: userId,
-        },
-      );
-
-      const filteredMetadata = { ...newAction.metadata };
-      for (const field of sensitiveFields) {
-        delete filteredMetadata[field];
-      }
-
-      newAction.metadata = filteredMetadata;
-      newActionsList.push(newAction);
-      return fullActionId;
-    };
-
-    for (const action of originalActions) {
-      promises.push(
-        duplicateAction(action).catch((error) => {
-          logger.error('[/agents/:id/duplicate] Error duplicating Action:', error);
-        }),
-      );
-    }
-
-    const agentActions = await Promise.all(promises);
-    newAgentData.actions = agentActions;
-    const newAgent = await createAgent(newAgentData);
-
-    return res.status(201).json({
-      agent: newAgent,
-      actions: newActionsList,
-    });
-  } catch (error) {
-    logger.error('[/Agents/:id/duplicate] Error duplicating Agent:', error);
-
-    res.status(500).json({ error: error.message });
-  }
-};
-
 /**
  * Deletes an Agent based on the provided ID.
  * @route DELETE /Agents/:id
@@ -392,7 +285,6 @@ module.exports = {
   createAgent: createAgentHandler,
   getAgent: getAgentHandler,
   updateAgent: updateAgentHandler,
-  duplicateAgent: duplicateAgentHandler,
   deleteAgent: deleteAgentHandler,
   getListAgents: getListAgentsHandler,
   uploadAgentAvatar: uploadAgentAvatarHandler,

api/server/controllers/assistants/chatV1.js

@@ -1,6 +1,5 @@
 const { v4 } = require('uuid');
 const {
-  Time,
   Constants,
   RunStatus,
   CacheKeys,
@@ -25,7 +24,6 @@ const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
 const { formatMessage, createVisionPrompt } = require('~/app/clients/prompts');
 const { createRun, StreamRunManager } = require('~/server/services/Runs');
 const { addTitle } = require('~/server/services/Endpoints/assistants');
-const { createRunBody } = require('~/server/services/createRunBody');
 const { getTransactions } = require('~/models/Transaction');
 const checkBalance = require('~/models/checkBalance');
 const { getConvo } = require('~/models/Conversation');
@@ -34,6 +32,8 @@ const { getModelMaxTokens } = require('~/utils');
 const { getOpenAIClient } = require('./helpers');
 const { logger } = require('~/config');
 
+const ten_minutes = 1000 * 60 * 10;
+
 /**
  * @route POST /
  * @desc Chat with an assistant
@@ -59,7 +59,6 @@ const chatV1 = async (req, res) => {
     messageId: _messageId,
     conversationId: convoId,
     parentMessageId: _parentId = Constants.NO_PARENT,
-    clientTimestamp,
   } = req.body;
 
   /** @type {OpenAIClient} */
@@ -305,14 +304,24 @@ const chatV1 = async (req, res) => {
     };
 
     /** @type {CreateRunBody | undefined} */
-    const body = createRunBody({
+    const body = {
       assistant_id,
       model,
-      promptPrefix,
-      instructions,
-      endpointOption,
-      clientTimestamp,
-    });
+    };
+
+    if (promptPrefix) {
+      body.additional_instructions = promptPrefix;
+    }
+
+    if (typeof endpointOption.artifactsPrompt === 'string' && endpointOption.artifactsPrompt) {
+      body.additional_instructions = `${body.additional_instructions ?? ''}\n${
+        endpointOption.artifactsPrompt
+      }`.trim();
+    }
+
+    if (instructions) {
+      body.instructions = instructions;
+    }
 
     const getRequestFileIds = async () => {
       let thread_file_ids = [];
@@ -509,7 +518,7 @@ const chatV1 = async (req, res) => {
         });
 
         run_id = run.id;
-        await cache.set(cacheKey, `${thread_id}:${run_id}`, Time.TEN_MINUTES);
+        await cache.set(cacheKey, `${thread_id}:${run_id}`, ten_minutes);
         sendInitialResponse();
 
         // todo: retry logic
@@ -520,7 +529,7 @@ const chatV1 = async (req, res) => {
       /** @type {{[AssistantStreamEvents.ThreadRunCreated]: (event: ThreadRunCreated) => Promise<void>}} */
       const handlers = {
         [AssistantStreamEvents.ThreadRunCreated]: async (event) => {
-          await cache.set(cacheKey, `${thread_id}:${event.data.id}`, Time.TEN_MINUTES);
+          await cache.set(cacheKey, `${thread_id}:${event.data.id}`, ten_minutes);
           run_id = event.data.id;
           sendInitialResponse();
         },

api/server/controllers/assistants/chatV2.js

@@ -23,7 +23,6 @@ const { createErrorHandler } = require('~/server/controllers/assistants/errors')
 const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
 const { createRun, StreamRunManager } = require('~/server/services/Runs');
 const { addTitle } = require('~/server/services/Endpoints/assistants');
-const { createRunBody } = require('~/server/services/createRunBody');
 const { getTransactions } = require('~/models/Transaction');
 const checkBalance = require('~/models/checkBalance');
 const { getConvo } = require('~/models/Conversation');
@@ -32,6 +31,8 @@ const { getModelMaxTokens } = require('~/utils');
 const { getOpenAIClient } = require('./helpers');
 const { logger } = require('~/config');
 
+const ten_minutes = 1000 * 60 * 10;
+
 /**
  * @route POST /
  * @desc Chat with an assistant
@@ -57,7 +58,6 @@ const chatV2 = async (req, res) => {
     messageId: _messageId,
     conversationId: convoId,
     parentMessageId: _parentId = Constants.NO_PARENT,
-    clientTimestamp,
   } = req.body;
 
   /** @type {OpenAIClient} */
@@ -186,14 +186,22 @@ const chatV2 = async (req, res) => {
     };
 
     /** @type {CreateRunBody | undefined} */
-    const body = createRunBody({
+    const body = {
       assistant_id,
       model,
-      promptPrefix,
-      instructions,
-      endpointOption,
-      clientTimestamp,
-    });
+    };
+
+    if (promptPrefix) {
+      body.additional_instructions = promptPrefix;
+    }
+
+    if (typeof endpointOption.artifactsPrompt === 'string' && endpointOption.artifactsPrompt) {
+      body.additional_instructions = `${body.additional_instructions ?? ''}\n${endpointOption.artifactsPrompt}`.trim();
+    }
+
+    if (instructions) {
+      body.instructions = instructions;
+    }
 
     const getRequestFileIds = async () => {
       let thread_file_ids = [];
@@ -353,7 +361,7 @@ const chatV2 = async (req, res) => {
         });
 
         run_id = run.id;
-        await cache.set(cacheKey, `${thread_id}:${run_id}`, Time.TEN_MINUTES);
+        await cache.set(cacheKey, `${thread_id}:${run_id}`, ten_minutes);
         sendInitialResponse();
 
         // todo: retry logic
@@ -364,7 +372,7 @@ const chatV2 = async (req, res) => {
       /** @type {{[AssistantStreamEvents.ThreadRunCreated]: (event: ThreadRunCreated) => Promise<void>}} */
       const handlers = {
         [AssistantStreamEvents.ThreadRunCreated]: async (event) => {
-          await cache.set(cacheKey, `${thread_id}:${event.data.id}`, Time.TEN_MINUTES);
+          await cache.set(cacheKey, `${thread_id}:${event.data.id}`, ten_minutes);
           run_id = event.data.id;
           sendInitialResponse();
         },
@@ -397,6 +405,16 @@ const chatV2 = async (req, res) => {
 
       response = streamRunManager;
       response.text = streamRunManager.intermediateText;
+
+      const messageCache = getLogStores(CacheKeys.MESSAGES);
+      messageCache.set(
+        responseMessageId,
+        {
+          complete: true,
+          text: response.text,
+        },
+        Time.FIVE_MINUTES,
+      );
     };
 
     await processRun();

api/server/controllers/assistants/helpers.js

@@ -1,4 +1,5 @@
 const {
+  CacheKeys,
   SystemRoles,
   EModelEndpoint,
   defaultOrderQuery,
@@ -8,7 +9,7 @@ const {
   initializeClient: initAzureClient,
 } = require('~/server/services/Endpoints/azureAssistants');
 const { initializeClient } = require('~/server/services/Endpoints/assistants');
-const { getEndpointsConfig } = require('~/server/services/Config');
+const { getLogStores } = require('~/cache');
 
 /**
  * @param {Express.Request} req
@@ -22,8 +23,11 @@ const getCurrentVersion = async (req, endpoint) => {
     version = `v${req.body.version}`;
   }
   if (!version && endpoint) {
-    const endpointsConfig = await getEndpointsConfig(req);
-    version = `v${endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint]}`;
+    const cache = getLogStores(CacheKeys.CONFIG_STORE);
+    const cachedEndpointsConfig = await cache.get(CacheKeys.ENDPOINT_CONFIG);
+    version = `v${
+      cachedEndpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint]
+    }`;
   }
   if (!version?.startsWith('v') && version.length !== 2) {
     throw new Error(`[${req.baseUrl}] Invalid version: ${version}`);

api/server/controllers/assistants/v1.js

@@ -6,7 +6,6 @@ const { getStrategyFunctions } = require('~/server/services/Files/strategies');
 const { deleteAssistantActions } = require('~/server/services/ActionService');
 const { updateAssistantDoc, getAssistants } = require('~/models/Assistant');
 const { getOpenAIClient, fetchAssistants } = require('./helpers');
-const { manifestToolMap } = require('~/app/clients/tools');
 const { deleteFileByFilter } = require('~/models/File');
 const { logger } = require('~/config');
 
@@ -20,15 +19,8 @@ const createAssistant = async (req, res) => {
   try {
     const { openai } = await getOpenAIClient({ req, res });
 
-    const {
-      tools = [],
-      endpoint,
-      conversation_starters,
-      append_current_datetime,
-      ...assistantData
-    } = req.body;
+    const { tools = [], endpoint, conversation_starters, ...assistantData } = req.body;
     delete assistantData.conversation_starters;
-    delete assistantData.append_current_datetime;
 
     assistantData.tools = tools
       .map((tool) => {
@@ -36,21 +28,9 @@ const createAssistant = async (req, res) => {
           return tool;
         }
 
-        const toolDefinitions = req.app.locals.availableTools;
-        const toolDef = toolDefinitions[tool];
-        if (!toolDef && manifestToolMap[tool] && manifestToolMap[tool].toolkit === true) {
-          return (
-            Object.entries(toolDefinitions)
-              .filter(([key]) => key.startsWith(`${tool}_`))
-              // eslint-disable-next-line no-unused-vars
-              .map(([_, val]) => val)
-          );
-        }
-
-        return toolDef;
+        return req.app.locals.availableTools[tool];
       })
-      .filter((tool) => tool)
-      .flat();
+      .filter((tool) => tool);
 
     let azureModelIdentifier = null;
     if (openai.locals?.azureOptions) {
@@ -69,9 +49,6 @@ const createAssistant = async (req, res) => {
     if (conversation_starters) {
       createData.conversation_starters = conversation_starters;
     }
-    if (append_current_datetime !== undefined) {
-      createData.append_current_datetime = append_current_datetime;
-    }
 
     const document = await updateAssistantDoc({ assistant_id: assistant.id }, createData);
 
@@ -83,10 +60,6 @@ const createAssistant = async (req, res) => {
       assistant.conversation_starters = document.conversation_starters;
     }
 
-    if (append_current_datetime !== undefined) {
-      assistant.append_current_datetime = append_current_datetime;
-    }
-
     logger.debug('/assistants/', assistant);
     res.status(201).json(assistant);
   } catch (error) {
@@ -129,33 +102,16 @@ const patchAssistant = async (req, res) => {
     await validateAuthor({ req, openai });
 
     const assistant_id = req.params.id;
-    const {
-      endpoint: _e,
-      conversation_starters,
-      append_current_datetime,
-      ...updateData
-    } = req.body;
+    const { endpoint: _e, conversation_starters, ...updateData } = req.body;
     updateData.tools = (updateData.tools ?? [])
       .map((tool) => {
         if (typeof tool !== 'string') {
           return tool;
         }
 
-        const toolDefinitions = req.app.locals.availableTools;
-        const toolDef = toolDefinitions[tool];
-        if (!toolDef && manifestToolMap[tool] && manifestToolMap[tool].toolkit === true) {
-          return (
-            Object.entries(toolDefinitions)
-              .filter(([key]) => key.startsWith(`${tool}_`))
-              // eslint-disable-next-line no-unused-vars
-              .map(([_, val]) => val)
-          );
-        }
-
-        return toolDef;
+        return req.app.locals.availableTools[tool];
       })
-      .filter((tool) => tool)
-      .flat();
+      .filter((tool) => tool);
 
     if (openai.locals?.azureOptions && updateData.model) {
       updateData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
@@ -171,11 +127,6 @@ const patchAssistant = async (req, res) => {
       updatedAssistant.conversation_starters = conversationStartersUpdate.conversation_starters;
     }
 
-    if (append_current_datetime !== undefined) {
-      await updateAssistantDoc({ assistant_id }, { append_current_datetime });
-      updatedAssistant.append_current_datetime = append_current_datetime;
-    }
-
     res.json(updatedAssistant);
   } catch (error) {
     logger.error('[/assistants/:id] Error updating assistant', error);
@@ -268,7 +219,6 @@ const getAssistantDocuments = async (req, res) => {
         conversation_starters: 1,
         createdAt: 1,
         updatedAt: 1,
-        append_current_datetime: 1,
       },
     );
 

api/server/controllers/assistants/v2.js

@@ -2,7 +2,6 @@ const { ToolCallTypes } = require('librechat-data-provider');
 const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
 const { validateAndUpdateTool } = require('~/server/services/ActionService');
 const { updateAssistantDoc } = require('~/models/Assistant');
-const { manifestToolMap } = require('~/app/clients/tools');
 const { getOpenAIClient } = require('./helpers');
 const { logger } = require('~/config');
 
@@ -17,15 +16,8 @@ const createAssistant = async (req, res) => {
     /** @type {{ openai: OpenAIClient }} */
     const { openai } = await getOpenAIClient({ req, res });
 
-    const {
-      tools = [],
-      endpoint,
-      conversation_starters,
-      append_current_datetime,
-      ...assistantData
-    } = req.body;
+    const { tools = [], endpoint, conversation_starters, ...assistantData } = req.body;
     delete assistantData.conversation_starters;
-    delete assistantData.append_current_datetime;
 
     assistantData.tools = tools
       .map((tool) => {
@@ -33,21 +25,9 @@ const createAssistant = async (req, res) => {
           return tool;
         }
 
-        const toolDefinitions = req.app.locals.availableTools;
-        const toolDef = toolDefinitions[tool];
-        if (!toolDef && manifestToolMap[tool] && manifestToolMap[tool].toolkit === true) {
-          return (
-            Object.entries(toolDefinitions)
-              .filter(([key]) => key.startsWith(`${tool}_`))
-              // eslint-disable-next-line no-unused-vars
-              .map(([_, val]) => val)
-          );
-        }
-
-        return toolDef;
+        return req.app.locals.availableTools[tool];
       })
-      .filter((tool) => tool)
-      .flat();
+      .filter((tool) => tool);
 
     let azureModelIdentifier = null;
     if (openai.locals?.azureOptions) {
@@ -66,9 +46,6 @@ const createAssistant = async (req, res) => {
     if (conversation_starters) {
       createData.conversation_starters = conversation_starters;
     }
-    if (append_current_datetime !== undefined) {
-      createData.append_current_datetime = append_current_datetime;
-    }
 
     const document = await updateAssistantDoc({ assistant_id: assistant.id }, createData);
 
@@ -79,9 +56,6 @@ const createAssistant = async (req, res) => {
     if (document.conversation_starters) {
       assistant.conversation_starters = document.conversation_starters;
     }
-    if (append_current_datetime !== undefined) {
-      assistant.append_current_datetime = append_current_datetime;
-    }
 
     logger.debug('/assistants/', assistant);
     res.status(201).json(assistant);
@@ -115,40 +89,11 @@ const updateAssistant = async ({ req, openai, assistant_id, updateData }) => {
     delete updateData.conversation_starters;
   }
 
-  if (updateData?.append_current_datetime !== undefined) {
-    await updateAssistantDoc(
-      { assistant_id: assistant_id },
-      { append_current_datetime: updateData.append_current_datetime },
-    );
-    delete updateData.append_current_datetime;
-  }
-
   let hasFileSearch = false;
   for (const tool of updateData.tools ?? []) {
-    const toolDefinitions = req.app.locals.availableTools;
-    let actualTool = typeof tool === 'string' ? toolDefinitions[tool] : tool;
+    let actualTool = typeof tool === 'string' ? req.app.locals.availableTools[tool] : tool;
 
-    if (!actualTool && manifestToolMap[tool] && manifestToolMap[tool].toolkit === true) {
-      actualTool = Object.entries(toolDefinitions)
-        .filter(([key]) => key.startsWith(`${tool}_`))
-        // eslint-disable-next-line no-unused-vars
-        .map(([_, val]) => val);
-    } else if (!actualTool) {
-      continue;
-    }
-
-    if (Array.isArray(actualTool)) {
-      for (const subTool of actualTool) {
-        if (!subTool.function) {
-          tools.push(subTool);
-          continue;
-        }
-
-        const updatedTool = await validateAndUpdateTool({ req, tool: subTool, assistant_id });
-        if (updatedTool) {
-          tools.push(updatedTool);
-        }
-      }
+    if (!actualTool) {
       continue;
     }
 

api/server/controllers/auth/LogoutController.js

@@ -1,32 +1,14 @@
 const cookies = require('cookie');
-const { Issuer } = require('openid-client');
 const { logoutUser } = require('~/server/services/AuthService');
-const { isEnabled } = require('~/server/utils');
 const { logger } = require('~/config');
 
 const logoutController = async (req, res) => {
   const refreshToken = req.headers.cookie ? cookies.parse(req.headers.cookie).refreshToken : null;
   try {
-    const logout = await logoutUser(req, refreshToken);
+    const logout = await logoutUser(req.user._id, refreshToken);
     const { status, message } = logout;
     res.clearCookie('refreshToken');
-    const response = { message };
-    if (
-      req.user.openidId != null &&
-      isEnabled(process.env.OPENID_USE_END_SESSION_ENDPOINT) &&
-      process.env.OPENID_ISSUER
-    ) {
-      const issuer = await Issuer.discover(process.env.OPENID_ISSUER);
-      const redirect = issuer.metadata.end_session_endpoint;
-      if (!redirect) {
-        logger.warn(
-          '[logoutController] end_session_endpoint not found in OpenID issuer metadata. Please verify that the issuer is correct.',
-        );
-      } else {
-        response.redirect = redirect;
-      }
-    }
-    return res.status(status).send(response);
+    return res.status(status).send({ message });
   } catch (err) {
     logger.error('[logoutController]', err);
     return res.status(500).json({ message: err.message });

api/server/controllers/tools.js

@@ -1,12 +1,6 @@
-const { nanoid } = require('nanoid');
 const { EnvVar } = require('@librechat/agents');
-const { Tools, AuthType, ToolCallTypes } = require('librechat-data-provider');
-const { processFileURL, uploadImageBuffer } = require('~/server/services/Files/process');
-const { processCodeOutput } = require('~/server/services/Files/Code/process');
-const { loadAuthValues, loadTools } = require('~/app/clients/tools/util');
-const { createToolCall, getToolCallsByConvo } = require('~/models/ToolCall');
-const { getMessage } = require('~/models/Message');
-const { logger } = require('~/config');
+const { Tools, AuthType } = require('librechat-data-provider');
+const { loadAuthValues } = require('~/app/clients/tools/util');
 
 const fieldsMap = {
   [Tools.execute_code]: [EnvVar.CODE_API_KEY],
@@ -30,7 +24,6 @@ const verifyToolAuth = async (req, res) => {
       result = await loadAuthValues({
         userId: req.user.id,
         authFields,
-        throwError: false,
       });
     } catch (error) {
       res.status(200).json({ authenticated: false, message: AuthType.USER_PROVIDED });
@@ -55,131 +48,6 @@ const verifyToolAuth = async (req, res) => {
   }
 };
 
-/**
- * @param {ServerRequest} req - The request object, containing information about the HTTP request.
- * @param {ServerResponse} res - The response object, used to send back the desired HTTP response.
- * @returns {Promise<void>} A promise that resolves when the function has completed.
- */
-const callTool = async (req, res) => {
-  try {
-    const { toolId = '' } = req.params;
-    if (!fieldsMap[toolId]) {
-      logger.warn(`[${toolId}/call] User ${req.user.id} attempted call to invalid tool`);
-      res.status(404).json({ message: 'Tool not found' });
-      return;
-    }
-
-    const { partIndex, blockIndex, messageId, conversationId, ...args } = req.body;
-    if (!messageId) {
-      logger.warn(`[${toolId}/call] User ${req.user.id} attempted call without message ID`);
-      res.status(400).json({ message: 'Message ID required' });
-      return;
-    }
-
-    const message = await getMessage({ user: req.user.id, messageId });
-    if (!message) {
-      logger.debug(`[${toolId}/call] User ${req.user.id} attempted call with invalid message ID`);
-      res.status(404).json({ message: 'Message not found' });
-      return;
-    }
-    logger.debug(`[${toolId}/call] User: ${req.user.id}`);
-    const { loadedTools } = await loadTools({
-      user: req.user.id,
-      tools: [toolId],
-      functions: true,
-      options: {
-        req,
-        returnMetadata: true,
-        processFileURL,
-        uploadImageBuffer,
-        fileStrategy: req.app.locals.fileStrategy,
-      },
-    });
-
-    const tool = loadedTools[0];
-    const toolCallId = `${req.user.id}_${nanoid()}`;
-    const result = await tool.invoke({
-      args,
-      name: toolId,
-      id: toolCallId,
-      type: ToolCallTypes.TOOL_CALL,
-    });
-
-    const { content, artifact } = result;
-    const toolCallData = {
-      toolId,
-      messageId,
-      partIndex,
-      blockIndex,
-      conversationId,
-      result: content,
-      user: req.user.id,
-    };
-
-    if (!artifact || !artifact.files || toolId !== Tools.execute_code) {
-      createToolCall(toolCallData).catch((error) => {
-        logger.error(`Error creating tool call: ${error.message}`);
-      });
-      return res.status(200).json({
-        result: content,
-      });
-    }
-
-    const artifactPromises = [];
-    for (const file of artifact.files) {
-      const { id, name } = file;
-      artifactPromises.push(
-        (async () => {
-          const fileMetadata = await processCodeOutput({
-            req,
-            id,
-            name,
-            apiKey: tool.apiKey,
-            messageId,
-            toolCallId,
-            conversationId,
-            session_id: artifact.session_id,
-          });
-
-          if (!fileMetadata) {
-            return null;
-          }
-
-          return fileMetadata;
-        })().catch((error) => {
-          logger.error('Error processing code output:', error);
-          return null;
-        }),
-      );
-    }
-    const attachments = await Promise.all(artifactPromises);
-    toolCallData.attachments = attachments;
-    createToolCall(toolCallData).catch((error) => {
-      logger.error(`Error creating tool call: ${error.message}`);
-    });
-    res.status(200).json({
-      result: content,
-      attachments,
-    });
-  } catch (error) {
-    logger.error('Error calling tool', error);
-    res.status(500).json({ message: 'Error calling tool' });
-  }
-};
-
-const getToolCalls = async (req, res) => {
-  try {
-    const { conversationId } = req.query;
-    const toolCalls = await getToolCallsByConvo(conversationId, req.user.id);
-    res.status(200).json(toolCalls);
-  } catch (error) {
-    logger.error('Error getting tool calls', error);
-    res.status(500).json({ message: 'Error getting tool calls' });
-  }
-};
-
 module.exports = {
-  callTool,
-  getToolCalls,
   verifyToolAuth,
 };