Fixing the naming to clientresize from clientsideresize

.env.example

@@ -15,20 +15,6 @@ HOST=localhost
 PORT=3080
 
 MONGO_URI=mongodb://127.0.0.1:27017/LibreChat
-#The maximum number of connections in the connection pool. */
-MONGO_MAX_POOL_SIZE=
-#The minimum number of connections in the connection pool. */
-MONGO_MIN_POOL_SIZE=
-#The maximum number of connections that may be in the process of being established concurrently by the connection pool. */
-MONGO_MAX_CONNECTING=
-#The maximum number of milliseconds that a connection can remain idle in the pool before being removed and closed. */
-MONGO_MAX_IDLE_TIME_MS=
-#The maximum time in milliseconds that a thread can wait for a connection to become available. */
-MONGO_WAIT_QUEUE_TIMEOUT_MS=
-# Set to false to disable automatic index creation for all models associated with this connection. */
-MONGO_AUTO_INDEX=
-# Set to `false` to disable Mongoose automatically calling `createCollection()` on every model created on this connection. */
-MONGO_AUTO_CREATE=
 
 DOMAIN_CLIENT=http://localhost:3080
 DOMAIN_SERVER=http://localhost:3080
@@ -40,13 +26,6 @@ NO_INDEX=true
 # Defaulted to 1.
 TRUST_PROXY=1
 
-# Minimum password length for user authentication
-# Default: 8
-# Note: When using LDAP authentication, you may want to set this to 1 
-# to bypass local password validation, as LDAP servers handle their own
-# password policies.
-# MIN_PASSWORD_LENGTH=8
-
 #===============#
 # JSON Logging  #
 #===============#
@@ -79,7 +58,7 @@ DEBUG_CONSOLE=false
 #                     Endpoints                     #
 #===================================================#
 
-# ENDPOINTS=openAI,assistants,azureOpenAI,google,anthropic
+# ENDPOINTS=openAI,assistants,azureOpenAI,google,gptPlugins,anthropic
 
 PROXY=
 
@@ -163,10 +142,10 @@ GOOGLE_KEY=user_provided
 # GOOGLE_AUTH_HEADER=true
 
 # Gemini API (AI Studio)
-# GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash,gemini-2.0-flash-lite
+# GOOGLE_MODELS=gemini-2.5-pro-preview-05-06,gemini-2.5-flash-preview-04-17,gemini-2.0-flash-001,gemini-2.0-flash-exp,gemini-2.0-flash-lite-001,gemini-1.5-pro-002,gemini-1.5-flash-002
 
 # Vertex AI
-# GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash-001,gemini-2.0-flash-lite-001
+# GOOGLE_MODELS=gemini-2.5-pro-preview-05-06,gemini-2.5-flash-preview-04-17,gemini-2.0-flash-001,gemini-2.0-flash-exp,gemini-2.0-flash-lite-001,gemini-1.5-pro-002,gemini-1.5-flash-002
 
 # GOOGLE_TITLE_MODEL=gemini-2.0-flash-lite-001
 
@@ -196,7 +175,7 @@ GOOGLE_KEY=user_provided
 #============#
 
 OPENAI_API_KEY=user_provided
-# OPENAI_MODELS=gpt-5,gpt-5-codex,gpt-5-mini,gpt-5-nano,o3-pro,o3,o4-mini,gpt-4.1,gpt-4.1-mini,gpt-4.1-nano,o3-mini,o1-pro,o1,gpt-4o,gpt-4o-mini
+# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,gpt-4.5-preview,chatgpt-4o-latest,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
 
 DEBUG_OPENAI=false
 
@@ -370,11 +349,6 @@ REGISTRATION_VIOLATION_SCORE=1
 CONCURRENT_VIOLATION_SCORE=1
 MESSAGE_VIOLATION_SCORE=1
 NON_BROWSER_VIOLATION_SCORE=20
-TTS_VIOLATION_SCORE=0
-STT_VIOLATION_SCORE=0
-FORK_VIOLATION_SCORE=0
-IMPORT_VIOLATION_SCORE=0
-FILE_UPLOAD_VIOLATION_SCORE=0
 
 LOGIN_MAX=7
 LOGIN_WINDOW=5
@@ -459,15 +433,10 @@ OPENID_CALLBACK_URL=/oauth/openid/callback
 OPENID_REQUIRED_ROLE=
 OPENID_REQUIRED_ROLE_TOKEN_KIND=
 OPENID_REQUIRED_ROLE_PARAMETER_PATH=
-OPENID_ADMIN_ROLE=
-OPENID_ADMIN_ROLE_PARAMETER_PATH=
-OPENID_ADMIN_ROLE_TOKEN_KIND=
 # Set to determine which user info property returned from OpenID Provider to store as the User's username
 OPENID_USERNAME_CLAIM=
 # Set to determine which user info property returned from OpenID Provider to store as the User's name
 OPENID_NAME_CLAIM=
-# Optional audience parameter for OpenID authorization requests
-OPENID_AUDIENCE=
 
 OPENID_BUTTON_LABEL=
 OPENID_IMAGE_URL=
@@ -484,26 +453,11 @@ OPENID_REUSE_TOKENS=
 OPENID_JWKS_URL_CACHE_ENABLED=
 OPENID_JWKS_URL_CACHE_TIME= # 600000 ms eq to 10 minutes leave empty to disable caching
 #Set to true to trigger token exchange flow to acquire access token for the userinfo endpoint.
-OPENID_ON_BEHALF_FLOW_FOR_USERINFO_REQUIRED=
-OPENID_ON_BEHALF_FLOW_USERINFO_SCOPE="user.read" # example for Scope Needed for Microsoft Graph API
+OPENID_ON_BEHALF_FLOW_FOR_USERINFRO_REQUIRED=
+OPENID_ON_BEHALF_FLOW_USERINFRO_SCOPE = "user.read" # example for Scope Needed for Microsoft Graph API
 # Set to true to use the OpenID Connect end session endpoint for logout
 OPENID_USE_END_SESSION_ENDPOINT=
 
-#========================#
-# SharePoint Integration #
-#========================#
-# Requires Entra ID (OpenID) authentication to be configured
-
-# Enable SharePoint file picker in chat and agent panels
-# ENABLE_SHAREPOINT_FILEPICKER=true
-
-# SharePoint tenant base URL (e.g., https://yourtenant.sharepoint.com)
-# SHAREPOINT_BASE_URL=https://yourtenant.sharepoint.com
-
-# Microsoft Graph API And SharePoint scopes for file picker
-# SHAREPOINT_PICKER_SHAREPOINT_SCOPE==https://yourtenant.sharepoint.com/AllSites.Read
-# SHAREPOINT_PICKER_GRAPH_SCOPE=Files.Read.All
-#========================#
 
 # SAML
 # Note: If OpenID is enabled, SAML authentication will be automatically disabled.
@@ -531,21 +485,6 @@ SAML_IMAGE_URL=
 # SAML_USE_AUTHN_RESPONSE_SIGNED=
 
 
-#===============================================#
-# Microsoft Graph API / Entra ID Integration  #
-#===============================================#
-
-# Enable Entra ID people search integration in permissions/sharing system
-# When enabled, the people picker will search both local database and Entra ID
-USE_ENTRA_ID_FOR_PEOPLE_SEARCH=false
-
-# When enabled, entra id groups owners will be considered as members of the group
-ENTRA_ID_INCLUDE_OWNERS_AS_MEMBERS=false
-
-# Microsoft Graph API scopes needed for people/group search
-# Default scopes provide access to user profiles and group memberships
-OPENID_GRAPH_SCOPES=User.Read,People.Read,GroupMember.Read.All
-
 # LDAP
 LDAP_URL=
 LDAP_BIND_DN=
@@ -636,10 +575,6 @@ ALLOW_SHARED_LINKS_PUBLIC=true
 # If you have another service in front of your LibreChat doing compression, disable express based compression here
 # DISABLE_COMPRESSION=true
 
-# If you have gzipped version of uploaded image images in the same folder, this will enable gzip scan and serving of these images
-# Note: The images folder will be scanned on startup and a ma kept in memory. Be careful for large number of images.
-# ENABLE_IMAGE_OUTPUT_GZIP_SCAN=true
-
 #===================================================#
 #                        UI                         #
 #===================================================#
@@ -653,54 +588,15 @@ HELP_AND_FAQ_URL=https://librechat.ai
 # Google tag manager id
 #ANALYTICS_GTM_ID=user provided google tag manager id
 
-# limit conversation file imports to a certain number of bytes in size to avoid the container
-# maxing out memory limitations by unremarking this line and supplying a file size in bytes
-# such as the below example of 250 mib
-# CONVERSATION_IMPORT_MAX_FILE_SIZE_BYTES=262144000
-
-
 #===============#
 # REDIS Options #
 #===============#
 
-# Enable Redis for caching and session storage
+# REDIS_URI=10.10.10.10:6379
 # USE_REDIS=true
 
-# Single Redis instance
-# REDIS_URI=redis://127.0.0.1:6379
-
-# Redis cluster (multiple nodes)
-# REDIS_URI=redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
-
-# Redis with TLS/SSL encryption and CA certificate
-# REDIS_URI=rediss://127.0.0.1:6380
-# REDIS_CA=/path/to/ca-cert.pem
-
-# Elasticache may need to use an alternate dnsLookup for TLS connections.  see "Special Note: Aws Elasticache Clusters with TLS" on this webpage: https://www.npmjs.com/package/ioredis
-# Enable alternative dnsLookup for redis
-# REDIS_USE_ALTERNATIVE_DNS_LOOKUP=true
-
-# Redis authentication (if required)
-# REDIS_USERNAME=your_redis_username
-# REDIS_PASSWORD=your_redis_password
-
-# Redis key prefix configuration
-# Use environment variable name for dynamic prefix (recommended for cloud deployments)
-# REDIS_KEY_PREFIX_VAR=K_REVISION
-# Or use static prefix directly
-# REDIS_KEY_PREFIX=librechat
-
-# Redis connection limits
-# REDIS_MAX_LISTENERS=40
-
-# Redis ping interval in seconds (0 = disabled, >0 = enabled)
-# When set to a positive integer, Redis clients will ping the server at this interval to keep connections alive
-# When unset or 0, no pinging is performed (recommended for most use cases)
-# REDIS_PING_INTERVAL=300
-
-# Force specific cache namespaces to use in-memory storage even when Redis is enabled
-# Comma-separated list of CacheKeys (e.g., ROLES,MESSAGES)
-# FORCED_IN_MEMORY_CACHE_NAMESPACES=ROLES,MESSAGES
+# USE_REDIS_CLUSTER=true
+# REDIS_CA=/path/to/ca.crt
 
 #==================================================#
 #                      Others                      #
@@ -761,17 +657,4 @@ OPENWEATHER_API_KEY=
 # Reranker (Required)
 # JINA_API_KEY=your_jina_api_key
 # or
-# COHERE_API_KEY=your_cohere_api_key
-
-#======================#
-# MCP Configuration    #
-#======================#
-
-# Treat 401/403 responses as OAuth requirement when no oauth metadata found
-# MCP_OAUTH_ON_AUTH_ERROR=true
-
-# Timeout for OAuth detection requests in milliseconds
-# MCP_OAUTH_DETECTION_TIMEOUT=5000
-
-# Cache connection status checks for this many milliseconds to avoid expensive verification
-# MCP_CONNECTION_CHECK_TTL=60000
+# COHERE_API_KEY=your_cohere_api_key

.github/CONTRIBUTING.md

@@ -147,7 +147,7 @@ Apply the following naming conventions to branches, labels, and other Git-relate
 ## 8. Module Import Conventions
 
 - `npm` packages first, 
-     - from longest line (top) to shortest (bottom)
+     - from shortest line (top) to longest (bottom)
 
 - Followed by typescript types (pertains to data-provider and client workspaces)
      - longest line (top) to shortest (bottom)
@@ -157,8 +157,6 @@ Apply the following naming conventions to branches, labels, and other Git-relate
      - longest line (top) to shortest (bottom)
      - imports with alias `~` treated the same as relative import with respect to line length
 
-**Note:** ESLint will automatically enforce these import conventions when you run `npm run lint --fix` or through pre-commit hooks.
-
 ---
 
 Please ensure that you adapt this summary to fit the specific context and nuances of your project.

.github/workflows/backend-review.yml

@@ -7,7 +7,7 @@ on:
       - release/*
     paths:
       - 'api/**'
-      - 'packages/**'
+      - 'packages/api/**'
 jobs:
   tests_Backend:
     name: Run Backend unit tests

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

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

.github/workflows/client.yml

@@ -1,58 +0,0 @@
-name: Publish `@librechat/client` to NPM
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - 'packages/client/package.json'
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: false
-        default: 'Manual publish requested'
-
-jobs:
-  build-and-publish:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      
-      - name: Use Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.x'
-        
-      - name: Install client dependencies
-        run: cd packages/client && npm ci
-        
-      - name: Build client
-        run: cd packages/client && npm run build
-        
-      - name: Set up npm authentication
-        run: echo "//registry.npmjs.org/:_authToken=${{ secrets.PUBLISH_NPM_TOKEN }}" > ~/.npmrc
-        
-      - name: Check version change
-        id: check
-        working-directory: packages/client
-        run: |
-          PACKAGE_VERSION=$(node -p "require('./package.json').version")
-          PUBLISHED_VERSION=$(npm view @librechat/client version 2>/dev/null || echo "0.0.0")
-          if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
-            echo "No version change, skipping publish"
-            echo "skip=true" >> $GITHUB_OUTPUT
-          else
-            echo "Version changed, proceeding with publish"
-            echo "skip=false" >> $GITHUB_OUTPUT
-          fi
-            
-      - name: Pack package
-        if: steps.check.outputs.skip != 'true'
-        working-directory: packages/client
-        run: npm pack
-        
-      - name: Publish
-        if: steps.check.outputs.skip != 'true'
-        working-directory: packages/client
-        run: npm publish *.tgz --access public

.github/workflows/data-provider.yml

@@ -1,4 +1,4 @@
-name: Publish `librechat-data-provider` to NPM
+name: Node.js Package
 
 on:
   push:
@@ -6,12 +6,6 @@ on:
       - main
     paths:
       - 'packages/data-provider/package.json'
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: false
-        default: 'Manual publish requested'
 
 jobs:
   build:
@@ -20,7 +14,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-node@v4
         with:
-          node-version: 20
+          node-version: 16
       - run: cd packages/data-provider && npm ci
       - run: cd packages/data-provider && npm run build
 
@@ -31,7 +25,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-node@v4
         with:
-          node-version: 20
+          node-version: 16
           registry-url: 'https://registry.npmjs.org'
       - run: cd packages/data-provider && npm ci
       - run: cd packages/data-provider && npm run build

.github/workflows/data-schemas.yml

@@ -22,7 +22,7 @@ jobs:
       - name: Use Node.js
         uses: actions/setup-node@v4
         with:
-          node-version: '20.x'
+          node-version: '18.x'
           
       - name: Install dependencies
         run: cd packages/data-schemas && npm ci

.github/workflows/frontend-review.yml

@@ -8,7 +8,7 @@ on:
       - release/*
     paths:
       - 'client/**'
-      - 'packages/data-provider/**'
+      - 'packages/**'
 
 jobs:
   tests_frontend_ubuntu:

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

@@ -0,0 +1,95 @@
+name: Generate Release Changelog PR
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'
+  workflow_dispatch:
+
+jobs:
+  generate-release-changelog-pr:
+    permissions:
+      contents: write    # Needed for pushing commits and creating branches.
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      # 1. Checkout the repository (with full history).
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      # 2. Generate the release changelog using our custom configuration.
+      - name: Generate Release Changelog
+        id: generate_release
+        uses: mikepenz/release-changelog-builder-action@v5.1.0
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          configuration: ".github/configuration-release.json"
+          owner: ${{ github.repository_owner }}
+          repo: ${{ github.event.repository.name }}
+          outputFile: CHANGELOG-release.md
+
+      # 3. Update the main CHANGELOG.md:
+      #    - If it doesn't exist, create it with a basic header.
+      #    - Remove the "Unreleased" section (if present).
+      #    - Prepend the new release changelog above previous releases.
+      #    - Remove all temporary files before committing.
+      - name: Update CHANGELOG.md
+        run: |
+          # Determine the release tag, e.g. "v1.2.3"
+          TAG=${GITHUB_REF##*/}
+          echo "Using release tag: $TAG"
+          
+          # Ensure CHANGELOG.md exists; if not, create a basic header.
+          if [ ! -f CHANGELOG.md ]; then
+            echo "# Changelog" > CHANGELOG.md
+            echo "" >> CHANGELOG.md
+            echo "All notable changes to this project will be documented in this file." >> CHANGELOG.md
+            echo "" >> CHANGELOG.md
+          fi
+
+          echo "Updating CHANGELOG.md…"
+          
+          # Remove the "Unreleased" section (from "## [Unreleased]" until the first occurrence of '---') if it exists.
+          if grep -q "^## \[Unreleased\]" CHANGELOG.md; then
+            awk '/^## \[Unreleased\]/{flag=1} flag && /^---/{flag=0; next} !flag' CHANGELOG.md > CHANGELOG.cleaned
+          else
+            cp CHANGELOG.md CHANGELOG.cleaned
+          fi
+
+          # Split the cleaned file into:
+          #   - header.md: content before the first release header ("## [v...").
+          #   - tail.md: content from the first release header onward.
+          awk '/^## \[v/{exit} {print}' CHANGELOG.cleaned > header.md
+          awk 'f{print} /^## \[v/{f=1; print}' CHANGELOG.cleaned > tail.md
+
+          # Combine header, the new release changelog, and the tail.
+          echo "Combining updated changelog parts..."
+          cat header.md CHANGELOG-release.md > CHANGELOG.md.new
+          echo "" >> CHANGELOG.md.new
+          cat tail.md >> CHANGELOG.md.new
+
+          mv CHANGELOG.md.new CHANGELOG.md
+
+          # Remove temporary files.
+          rm -f CHANGELOG.cleaned header.md tail.md CHANGELOG-release.md
+
+          echo "Final CHANGELOG.md content:"
+          cat CHANGELOG.md
+
+      # 4. Create (or update) the Pull Request with the updated CHANGELOG.md.
+      - name: Create Pull Request
+        uses: peter-evans/create-pull-request@v7
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          sign-commits: true
+          commit-message: "chore: update CHANGELOG for release ${{ github.ref_name }}"
+          base: main
+          branch: "changelog/${{ github.ref_name }}"
+          reviewers: danny-avila
+          title: "📜 docs: Changelog for release ${{ github.ref_name }}"
+          body: |
+            **Description**:
+            - This PR updates the CHANGELOG.md by removing the "Unreleased" section and adding new release notes for release ${{ github.ref_name }} above previous releases.

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

@@ -0,0 +1,107 @@
+name: Generate Unreleased Changelog PR
+
+on:
+  schedule:
+    - cron: "0 0 * * 1"  # Runs every Monday at 00:00 UTC
+  workflow_dispatch:
+
+jobs:
+  generate-unreleased-changelog-pr:
+    permissions:
+      contents: write    # Needed for pushing commits and creating branches.
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      # 1. Checkout the repository on main.
+      - name: Checkout Repository on Main
+        uses: actions/checkout@v4
+        with:
+          ref: main
+          fetch-depth: 0
+
+      # 4. Get the latest version tag.
+      - name: Get Latest Tag
+        id: get_latest_tag
+        run: |
+          LATEST_TAG=$(git describe --tags $(git rev-list --tags --max-count=1) || echo "none")
+          echo "Latest tag: $LATEST_TAG"
+          echo "tag=$LATEST_TAG" >> $GITHUB_OUTPUT
+
+      # 5. Generate the Unreleased changelog.
+      - name: Generate Unreleased Changelog
+        id: generate_unreleased
+        uses: mikepenz/release-changelog-builder-action@v5.1.0
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          configuration: ".github/configuration-unreleased.json"
+          owner: ${{ github.repository_owner }}
+          repo: ${{ github.event.repository.name }}
+          outputFile: CHANGELOG-unreleased.md
+          fromTag: ${{ steps.get_latest_tag.outputs.tag }}
+          toTag: main
+
+      # 7. Update CHANGELOG.md with the new Unreleased section.
+      - name: Update CHANGELOG.md
+        id: update_changelog
+        run: |
+          # Create CHANGELOG.md if it doesn't exist.
+          if [ ! -f CHANGELOG.md ]; then
+            echo "# Changelog" > CHANGELOG.md
+            echo "" >> CHANGELOG.md
+            echo "All notable changes to this project will be documented in this file." >> CHANGELOG.md
+            echo "" >> CHANGELOG.md
+          fi
+          
+          echo "Updating CHANGELOG.md…"
+          
+          # Extract content before the "## [Unreleased]" (or first version header if missing).
+          if grep -q "^## \[Unreleased\]" CHANGELOG.md; then
+            awk '/^## \[Unreleased\]/{exit} {print}' CHANGELOG.md > CHANGELOG_TMP.md
+          else
+            awk '/^## \[v/{exit} {print}' CHANGELOG.md > CHANGELOG_TMP.md
+          fi
+          
+          # Append the generated Unreleased changelog.
+          echo "" >> CHANGELOG_TMP.md
+          cat CHANGELOG-unreleased.md >> CHANGELOG_TMP.md
+          echo "" >> CHANGELOG_TMP.md
+          
+          # Append the remainder of the original changelog (starting from the first version header).
+          awk 'f{print} /^## \[v/{f=1; print}' CHANGELOG.md >> CHANGELOG_TMP.md
+          
+          # Replace the old file with the updated file.
+          mv CHANGELOG_TMP.md CHANGELOG.md
+          
+          # Remove the temporary generated file.
+          rm -f CHANGELOG-unreleased.md
+          
+          echo "Final CHANGELOG.md:"
+          cat CHANGELOG.md
+
+      # 8. Check if CHANGELOG.md has any updates.
+      - name: Check for CHANGELOG.md changes
+        id: changelog_changes
+        run: |
+          if git diff --quiet CHANGELOG.md; then
+            echo "has_changes=false" >> $GITHUB_OUTPUT
+          else
+            echo "has_changes=true" >> $GITHUB_OUTPUT
+          fi
+
+      # 9. Create (or update) the Pull Request only if there are changes.
+      - name: Create Pull Request
+        if: steps.changelog_changes.outputs.has_changes == 'true'
+        uses: peter-evans/create-pull-request@v7
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          base: main
+          branch: "changelog/unreleased-update"
+          sign-commits: true
+          commit-message: "action: update Unreleased changelog"
+          title: "📜 docs: Unreleased Changelog"
+          body: |
+            **Description**:
+            - This PR updates the Unreleased section in CHANGELOG.md.
+            - It compares the current main branch with the latest version tag (determined as ${{ steps.get_latest_tag.outputs.tag }}),
+              regenerates the Unreleased changelog, removes any old Unreleased block, and inserts the new content.

.github/workflows/helmcharts.yml

@@ -4,13 +4,12 @@ name: Build Helm Charts on Tag
 on:
   push:
     tags:
-      - "chart-*"
+      - "*"
 
 jobs:
   release:
     permissions:
       contents: write
-      packages: write
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
@@ -27,49 +26,15 @@ jobs:
         uses: azure/setup-helm@v4
         env:
           GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
-      
       - name: Build Subchart Deps
         run: |
-          cd helm/librechat
-          helm dependency build  
-          cd ../librechat-rag-api
-          helm dependency build      
+          cd helm/librechat-rag-api
+          helm dependency build 
 
-      - name: Get Chart Version
-        id: chart-version
-        run: |
-          CHART_VERSION=$(echo "${{ github.ref_name }}" | cut -d'-' -f2)
-          echo "CHART_VERSION=${CHART_VERSION}" >> "$GITHUB_OUTPUT"
-
-      # Log in to GitHub Container Registry
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v3
+      - name: Run chart-releaser
+        uses: helm/chart-releaser-action@v1.6.0
         with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Run Helm OCI Charts Releaser
-      # This is for the librechat chart
-      - name: Release Helm OCI Charts for librechat
-        uses: appany/helm-oci-chart-releaser@v0.4.2
-        with:
-          name: librechat
-          repository: ${{ github.actor }}/librechat-chart
-          tag: ${{ steps.chart-version.outputs.CHART_VERSION }}
-          path: helm/librechat
-          registry: ghcr.io
-          registry_username: ${{ github.actor }}
-          registry_password: ${{ secrets.GITHUB_TOKEN }}
-      
-      # this is for the librechat-rag-api chart
-      - name: Release Helm OCI Charts for librechat-rag-api
-        uses: appany/helm-oci-chart-releaser@v0.4.2
-        with:
-          name: librechat-rag-api
-          repository: ${{ github.actor }}/librechat-chart
-          tag: ${{ steps.chart-version.outputs.CHART_VERSION }}
-          path: helm/librechat-rag-api
-          registry: ghcr.io
-          registry_username: ${{ github.actor }}
-          registry_password: ${{ secrets.GITHUB_TOKEN }}
+          charts_dir: helm
+          skip_existing: true
+        env:
+          CR_TOKEN: "${{ secrets.GITHUB_TOKEN }}"

.github/workflows/i18n-unused-keys.yml

@@ -1,18 +1,11 @@
 name: Detect Unused i18next Strings
 
-# This workflow checks for unused i18n keys in translation files.
-# It has special handling for:
-# - com_ui_special_var_* keys that are dynamically constructed
-# - com_agents_category_* keys that are stored in the database and used dynamically
-
 on:
   pull_request:
     paths:
       - "client/src/**"
       - "api/**"
       - "packages/data-provider/src/**"
-      - "packages/client/**"
-      - "packages/data-schemas/src/**"
 
 jobs:
   detect-unused-i18n-keys:
@@ -30,7 +23,7 @@ jobs:
 
           # Define paths
           I18N_FILE="client/src/locales/en/translation.json"
-          SOURCE_DIRS=("client/src" "api" "packages/data-provider/src" "packages/client" "packages/data-schemas/src")
+          SOURCE_DIRS=("client/src" "api" "packages/data-provider/src")
 
           # Check if translation file exists
           if [[ ! -f "$I18N_FILE" ]]; then
@@ -58,31 +51,6 @@ jobs:
                 fi
               done
               
-              # Also check if the key is directly used somewhere
-              if [[ "$FOUND" == false ]]; then
-                for DIR in "${SOURCE_DIRS[@]}"; do
-                  if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
-                    FOUND=true
-                    break
-                  fi
-                done
-              fi
-            # Special case for agent category keys that are dynamically used from database
-            elif [[ "$KEY" == com_agents_category_* ]]; then
-              # Check if agent category localization is being used
-              for DIR in "${SOURCE_DIRS[@]}"; do
-                # Check for dynamic category label/description usage
-                if grep -r --include=\*.{js,jsx,ts,tsx} -E "category\.(label|description).*startsWith.*['\"]com_" "$DIR" > /dev/null 2>&1 || \
-                   # Check for the method that defines these keys
-                   grep -r --include=\*.{js,jsx,ts,tsx} "ensureDefaultCategories" "$DIR" > /dev/null 2>&1 || \
-                   # Check for direct usage in agentCategory.ts
-                   grep -r --include=\*.ts -E "label:.*['\"]$KEY['\"]" "$DIR" > /dev/null 2>&1 || \
-                   grep -r --include=\*.ts -E "description:.*['\"]$KEY['\"]" "$DIR" > /dev/null 2>&1; then
-                  FOUND=true
-                  break
-                fi
-              done
-              
               # Also check if the key is directly used somewhere
               if [[ "$FOUND" == false ]]; then
                 for DIR in "${SOURCE_DIRS[@]}"; do

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

@@ -48,7 +48,7 @@ jobs:
 
       # 2. Download translation files from locize.
       - name: Download Translations from locize
-        uses: locize/download@v2
+        uses: locize/download@v1
         with:
           project-id: ${{ secrets.LOCIZE_PROJECT_ID }}
           path: "client/src/locales"

.github/workflows/unused-packages.yml

@@ -7,7 +7,6 @@ on:
       - 'package-lock.json'
       - 'client/**'
       - 'api/**'
-      - 'packages/client/**'
 
 jobs:
   detect-unused-packages:
@@ -29,7 +28,7 @@ jobs:
 
       - name: Validate JSON files
         run: |
-          for FILE in package.json client/package.json api/package.json packages/client/package.json; do
+          for FILE in package.json client/package.json api/package.json; do
             if [[ -f "$FILE" ]]; then
               jq empty "$FILE" || (echo "::error title=Invalid JSON::$FILE is invalid" && exit 1)
             fi
@@ -64,31 +63,12 @@ jobs:
             local folder=$1
             local output_file=$2
             if [[ -d "$folder" ]]; then
-              # Extract require() statements
-              grep -rEho "require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
+              grep -rEho "require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)" "$folder" --include=\*.{js,ts,mjs,cjs} | \
                 sed -E "s/require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)/\1/" > "$output_file"
           
-              # Extract ES6 imports - various patterns
-              # import x from 'module'
-              grep -rEho "import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
+              grep -rEho "import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,mjs,cjs} | \
                 sed -E "s/import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-              
-              # import 'module' (side-effect imports)
-              grep -rEho "import ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
-                sed -E "s/import ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-              
-              # export { x } from 'module' or export * from 'module'
-              grep -rEho "export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
-                sed -E "s/export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-              
-              # import type { x } from 'module' (TypeScript)
-              grep -rEho "import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{ts,tsx} | \
-                sed -E "s/import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
           
-              # Remove subpath imports but keep the base package
-              # e.g., '@tanstack/react-query/devtools' becomes '@tanstack/react-query'
-              sed -i -E 's|^(@?[a-zA-Z0-9-]+(/[a-zA-Z0-9-]+)?)/.*|\1|' "$output_file"
-              
               sort -u "$output_file" -o "$output_file"
             else
               touch "$output_file"
@@ -98,80 +78,13 @@ jobs:
           extract_deps_from_code "." root_used_code.txt
           extract_deps_from_code "client" client_used_code.txt
           extract_deps_from_code "api" api_used_code.txt
-          
-          # Extract dependencies used by @librechat/client package
-          extract_deps_from_code "packages/client" packages_client_used_code.txt
-
-      - name: Get @librechat/client dependencies
-        id: get-librechat-client-deps
-        run: |
-          if [[ -f "packages/client/package.json" ]]; then
-            # Get all dependencies from @librechat/client (dependencies, devDependencies, and peerDependencies)
-            DEPS=$(jq -r '.dependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
-            DEV_DEPS=$(jq -r '.devDependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
-            PEER_DEPS=$(jq -r '.peerDependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
-            
-            # Combine all dependencies
-            echo "$DEPS" > librechat_client_deps.txt
-            echo "$DEV_DEPS" >> librechat_client_deps.txt
-            echo "$PEER_DEPS" >> librechat_client_deps.txt
-            
-            # Also include dependencies that are imported in packages/client
-            cat packages_client_used_code.txt >> librechat_client_deps.txt
-            
-            # Remove empty lines and sort
-            grep -v '^$' librechat_client_deps.txt | sort -u > temp_deps.txt
-            mv temp_deps.txt librechat_client_deps.txt
-          else
-            touch librechat_client_deps.txt
-          fi
-
-      - name: Extract Workspace Dependencies
-        id: extract-workspace-deps
-        run: |
-          # Function to get dependencies from a workspace package that are used by another package
-          get_workspace_package_deps() {
-            local package_json=$1
-            local output_file=$2
-            
-            # Get all workspace dependencies (starting with @librechat/)
-            if [[ -f "$package_json" ]]; then
-              local workspace_deps=$(jq -r '.dependencies // {} | to_entries[] | select(.key | startswith("@librechat/")) | .key' "$package_json" 2>/dev/null || echo "")
-              
-              # For each workspace dependency, get its dependencies
-              for dep in $workspace_deps; do
-                # Convert @librechat/api to packages/api
-                local workspace_path=$(echo "$dep" | sed 's/@librechat\//packages\//')
-                local workspace_package_json="${workspace_path}/package.json"
-                
-                if [[ -f "$workspace_package_json" ]]; then
-                  # Extract all dependencies from the workspace package
-                  jq -r '.dependencies // {} | keys[]' "$workspace_package_json" 2>/dev/null >> "$output_file"
-                  # Also extract peerDependencies
-                  jq -r '.peerDependencies // {} | keys[]' "$workspace_package_json" 2>/dev/null >> "$output_file"
-                fi
-              done
-            fi
-            
-            if [[ -f "$output_file" ]]; then
-              sort -u "$output_file" -o "$output_file"
-            else
-              touch "$output_file"
-            fi
-          }
-          
-          # Get workspace dependencies for each package
-          get_workspace_package_deps "package.json" root_workspace_deps.txt
-          get_workspace_package_deps "client/package.json" client_workspace_deps.txt
-          get_workspace_package_deps "api/package.json" api_workspace_deps.txt
 
       - name: Run depcheck for root package.json
         id: check-root
         run: |
           if [[ -f "package.json" ]]; then
             UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
-            # Exclude dependencies used in scripts, code, and workspace packages
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat root_used_deps.txt root_used_code.txt root_workspace_deps.txt | sort) || echo "")
+            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat root_used_deps.txt root_used_code.txt | sort) || echo "")
             echo "ROOT_UNUSED<<EOF" >> $GITHUB_ENV
             echo "$UNUSED" >> $GITHUB_ENV
             echo "EOF" >> $GITHUB_ENV
@@ -184,8 +97,7 @@ jobs:
             chmod -R 755 client
             cd client
             UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
-            # Exclude dependencies used in scripts, code, and workspace packages
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt ../client_workspace_deps.txt | sort) || echo "")
+            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt | sort) || echo "")
             # Filter out false positives
             UNUSED=$(echo "$UNUSED" | grep -v "^micromark-extension-llm-math$" || echo "")
             echo "CLIENT_UNUSED<<EOF" >> $GITHUB_ENV
@@ -201,8 +113,7 @@ jobs:
             chmod -R 755 api
             cd api
             UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
-            # Exclude dependencies used in scripts, code, and workspace packages
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../api_used_deps.txt ../api_used_code.txt ../api_workspace_deps.txt | sort) || echo "")
+            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../api_used_deps.txt ../api_used_code.txt | sort) || echo "")
             echo "API_UNUSED<<EOF" >> $GITHUB_ENV
             echo "$UNUSED" >> $GITHUB_ENV
             echo "EOF" >> $GITHUB_ENV

.gitignore

@@ -13,9 +13,6 @@ pids
 *.seed
 .git
 
-# CI/CD data
-test-image*
-
 # Directory for instrumented libs generated by jscoverage/JSCover
 lib-cov
 
@@ -128,13 +125,3 @@ helm/**/.values.yaml
 
 # SAML Idp cert
 *.cert
-
-# AI Assistants
-/.claude/
-/.cursor/
-/.copilot/
-/.aider/
-/.openai/
-/.tabnine/
-/.codeium
-*.local.md

.husky/pre-commit

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

.vscode/launch.json

@@ -8,8 +8,7 @@
       "skipFiles": ["<node_internals>/**"],
       "program": "${workspaceFolder}/api/server/index.js",
       "env": {
-        "NODE_ENV": "production",
-        "NODE_TLS_REJECT_UNAUTHORIZED": "0"
+        "NODE_ENV": "production"
       },
       "console": "integratedTerminal",
       "envFile": "${workspaceFolder}/.env"

Dockerfile

@@ -1,4 +1,4 @@
-# v0.8.0
+# v0.7.8
 
 # Base node image
 FROM node:20-alpine AS node
@@ -19,31 +19,24 @@ WORKDIR /app
 
 USER node
 
-COPY --chown=node:node package.json package-lock.json ./
-COPY --chown=node:node api/package.json ./api/package.json
-COPY --chown=node:node client/package.json ./client/package.json
-COPY --chown=node:node packages/data-provider/package.json ./packages/data-provider/package.json
-COPY --chown=node:node packages/data-schemas/package.json ./packages/data-schemas/package.json
-COPY --chown=node:node packages/api/package.json ./packages/api/package.json
+COPY --chown=node:node . .
 
 RUN \
     # Allow mounting of these files, which have no default
     touch .env ; \
     # Create directories for the volumes to inherit the correct permissions
-    mkdir -p /app/client/public/images /app/api/logs /app/uploads ; \
+    mkdir -p /app/client/public/images /app/api/logs ; \
     npm config set fetch-retry-maxtimeout 600000 ; \
     npm config set fetch-retries 5 ; \
     npm config set fetch-retry-mintimeout 15000 ; \
-    npm ci --no-audit
-
-COPY --chown=node:node . .
-
-RUN \
+    npm install --no-audit; \
     # React client build
     NODE_OPTIONS="--max-old-space-size=2048" npm run frontend; \
     npm prune --production; \
     npm cache clean --force
 
+RUN mkdir -p /app/client/public/images /app/api/logs
+
 # Node API setup
 EXPOSE 3080
 ENV HOST=0.0.0.0
@@ -54,4 +47,4 @@ CMD ["npm", "run", "backend"]
 # WORKDIR /usr/share/nginx/html
 # COPY --from=node /app/client/dist /usr/share/nginx/html
 # COPY client/nginx.conf /etc/nginx/conf.d/default.conf
-# ENTRYPOINT ["nginx", "-g", "daemon off;"]
+# ENTRYPOINT ["nginx", "-g", "daemon off;"]

Dockerfile.multi

@@ -1,5 +1,5 @@
 # Dockerfile.multi
-# v0.8.0
+# v0.7.8
 
 # Base for all builds
 FROM node:20-alpine AS base-min
@@ -16,7 +16,6 @@ COPY package*.json ./
 COPY packages/data-provider/package*.json ./packages/data-provider/
 COPY packages/api/package*.json ./packages/api/
 COPY packages/data-schemas/package*.json ./packages/data-schemas/
-COPY packages/client/package*.json ./packages/client/
 COPY client/package*.json ./client/
 COPY api/package*.json ./api/
 
@@ -46,19 +45,11 @@ COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/d
 COPY --from=data-schemas-build /app/packages/data-schemas/dist /app/packages/data-schemas/dist
 RUN npm run build
 
-# Build `client` package
-FROM base AS client-package-build
-WORKDIR /app/packages/client
-COPY packages/client ./
-RUN npm run build
-
 # Client build
 FROM base AS client-build
 WORKDIR /app/client
 COPY client ./
 COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
-COPY --from=client-package-build /app/packages/client/dist /app/packages/client/dist
-COPY --from=client-package-build /app/packages/client/src /app/packages/client/src
 ENV NODE_OPTIONS="--max-old-space-size=2048"
 RUN npm run build
 

README.md

@@ -52,7 +52,7 @@
 - 🖥️ **UI & Experience** inspired by ChatGPT with enhanced design and features
 
 - 🤖 **AI Model Selection**:  
-  - Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
+  - 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,
@@ -65,17 +65,15 @@
 
 - 🔦 **Agents & Tools Integration**:  
   - **[LibreChat Agents](https://www.librechat.ai/docs/features/agents)**:
-    - No-Code Custom Assistants: Build specialized, AI-driven helpers
-    - Agent Marketplace: Discover and deploy community-built agents
-    - Collaborative Sharing: Share agents with specific users and groups
-    - Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
-    - Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
+    - 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
 
 - 🔍 **Web Search**:  
   - Search the internet and retrieve relevant information to enhance your AI context
   - Combines search providers, content scrapers, and result rerankers for optimal results
-  - **Customizable Jina Reranking**: Configure custom Jina API URLs for reranking services
   - **[Learn More →](https://www.librechat.ai/docs/features/web_search)**
 
 - 🪄 **Generative UI with Code Artifacts**:  
@@ -90,18 +88,15 @@
   - Create, Save, & Share Custom Presets  
   - Switch between AI Endpoints and Presets mid-chat
   - Edit, Resubmit, and Continue Messages with Conversation branching  
-  - Create and share prompts with specific users and groups
   - [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-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸  
   - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
 
-- 🌎 **Multilingual UI**:
-  - English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
-  - Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
-  - Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
-  - Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
+- 🌎 **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

api/app/clients/AnthropicClient.js

@@ -1,5 +1,4 @@
 const Anthropic = require('@anthropic-ai/sdk');
-const { logger } = require('@librechat/data-schemas');
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const {
   Constants,
@@ -10,18 +9,8 @@ const {
   getResponseSender,
   validateVisionModel,
 } = require('librechat-data-provider');
-const { sleep, SplitStreamHandler: _Handler } = require('@librechat/agents');
-const {
-  Tokenizer,
-  createFetch,
-  matchModelName,
-  getClaudeHeaders,
-  getModelMaxTokens,
-  configureReasoning,
-  checkPromptCacheSupport,
-  getModelMaxOutputTokens,
-  createStreamEventHandlers,
-} = require('@librechat/api');
+const { SplitStreamHandler: _Handler } = require('@librechat/agents');
+const { Tokenizer, createFetch, createStreamEventHandlers } = require('@librechat/api');
 const {
   truncateText,
   formatMessage,
@@ -30,9 +19,17 @@ const {
   parseParamFromPrompt,
   createContextHandlers,
 } = require('./prompts');
+const {
+  getClaudeHeaders,
+  configureReasoning,
+  checkPromptCacheSupport,
+} = require('~/server/services/Endpoints/anthropic/helpers');
+const { getModelMaxTokens, getModelMaxOutputTokens, matchModelName } = require('~/utils');
 const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
+const { sleep } = require('~/server/utils');
 const BaseClient = require('./BaseClient');
+const { logger } = require('~/config');
 
 const HUMAN_PROMPT = '\n\nHuman:';
 const AI_PROMPT = '\n\nAssistant:';

api/app/clients/BaseClient.js

@@ -1,31 +1,22 @@
 const crypto = require('crypto');
 const fetch = require('node-fetch');
-const { logger } = require('@librechat/data-schemas');
 const {
-  getBalanceConfig,
-  extractFileContext,
-  encodeAndFormatAudios,
-  encodeAndFormatVideos,
-  encodeAndFormatDocuments,
-} = require('@librechat/api');
-const {
-  Constants,
-  ErrorTypes,
-  FileSources,
+  supportsBalanceCheck,
+  isAgentsEndpoint,
+  isParamEndpoint,
+  EModelEndpoint,
   ContentTypes,
   excludedKeys,
-  EModelEndpoint,
-  isParamEndpoint,
-  isAgentsEndpoint,
-  supportsBalanceCheck,
+  ErrorTypes,
+  Constants,
 } = require('librechat-data-provider');
 const { getMessages, saveMessage, updateMessage, saveConvo, getConvo } = require('~/models');
-const { getStrategyFunctions } = require('~/server/services/Files/strategies');
 const { checkBalance } = require('~/models/balanceMethods');
 const { truncateToolCallOutputs } = require('./prompts');
-const countTokens = require('~/server/utils/countTokens');
+const { addSpaceIfNeeded } = require('~/server/utils');
 const { getFiles } = require('~/models/File');
 const TextStream = require('./TextStream');
+const { logger } = require('~/config');
 
 class BaseClient {
   constructor(apiKey, options = {}) {
@@ -47,8 +38,6 @@ class BaseClient {
     this.conversationId;
     /** @type {string} */
     this.responseMessageId;
-    /** @type {string} */
-    this.parentMessageId;
     /** @type {TAttachment[]} */
     this.attachments;
     /** The key for the usage object's input tokens
@@ -120,17 +109,12 @@ class BaseClient {
   /**
    * Abstract method to record token usage. Subclasses must implement this method.
    * If a correction to the token usage is needed, the method should return an object with the corrected token counts.
-   * Should only be used if `recordCollectedUsage` was not used instead.
-   * @param {string} [model]
-   * @param {AppConfig['balance']} [balance]
    * @param {number} promptTokens
    * @param {number} completionTokens
    * @returns {Promise<void>}
    */
-  async recordTokenUsage({ model, balance, promptTokens, completionTokens }) {
+  async recordTokenUsage({ promptTokens, completionTokens }) {
     logger.debug('[BaseClient] `recordTokenUsage` not implemented.', {
-      model,
-      balance,
       promptTokens,
       completionTokens,
     });
@@ -199,8 +183,7 @@ class BaseClient {
     this.user = user;
     const saveOptions = this.getSaveOptions();
     this.abortController = opts.abortController ?? new AbortController();
-    const requestConvoId = overrideConvoId ?? opts.conversationId;
-    const conversationId = requestConvoId ?? crypto.randomUUID();
+    const conversationId = overrideConvoId ?? opts.conversationId ?? crypto.randomUUID();
     const parentMessageId = opts.parentMessageId ?? Constants.NO_PARENT;
     const userMessageId =
       overrideUserMessageId ?? opts.overrideParentMessageId ?? crypto.randomUUID();
@@ -215,22 +198,17 @@ class BaseClient {
       this.currentMessages[this.currentMessages.length - 1].messageId = head;
     }
 
-    if (opts.isRegenerate && responseMessageId.endsWith('_')) {
-      responseMessageId = crypto.randomUUID();
-    }
-
     this.responseMessageId = responseMessageId;
 
     return {
       ...opts,
       user,
       head,
-      saveOptions,
-      userMessageId,
-      requestConvoId,
       conversationId,
       parentMessageId,
+      userMessageId,
       responseMessageId,
+      saveOptions,
     };
   }
 
@@ -249,12 +227,11 @@ class BaseClient {
     const {
       user,
       head,
-      saveOptions,
-      userMessageId,
-      requestConvoId,
       conversationId,
       parentMessageId,
+      userMessageId,
       responseMessageId,
+      saveOptions,
     } = await this.setMessageOptions(opts);
 
     const userMessage = opts.isEdited
@@ -276,8 +253,7 @@ class BaseClient {
     }
 
     if (typeof opts?.onStart === 'function') {
-      const isNewConvo = !requestConvoId && parentMessageId === Constants.NO_PARENT;
-      opts.onStart(userMessage, responseMessageId, isNewConvo);
+      opts.onStart(userMessage, responseMessageId);
     }
 
     return {
@@ -583,7 +559,6 @@ class BaseClient {
   }
 
   async sendMessage(message, opts = {}) {
-    const appConfig = this.options.req?.config;
     /** @type {Promise<TMessage>} */
     let userMessagePromise;
     const { user, head, isEdited, conversationId, responseMessageId, saveOptions, userMessage } =
@@ -597,7 +572,7 @@ class BaseClient {
       });
     }
 
-    const { editedContent } = opts;
+    const { generation = '' } = opts;
 
     // It's not necessary to push to currentMessages
     // depending on subclass implementation of handling messages
@@ -612,40 +587,26 @@ class BaseClient {
           isCreatedByUser: false,
           model: this.modelOptions?.model ?? this.model,
           sender: this.sender,
+          text: generation,
         };
         this.currentMessages.push(userMessage, latestMessage);
-      } else if (editedContent != null) {
-        // Handle editedContent for content parts
-        if (editedContent && latestMessage.content && Array.isArray(latestMessage.content)) {
-          const { index, text, type } = editedContent;
-          if (index >= 0 && index < latestMessage.content.length) {
-            const contentPart = latestMessage.content[index];
-            if (type === ContentTypes.THINK && contentPart.type === ContentTypes.THINK) {
-              contentPart[ContentTypes.THINK] = text;
-            } else if (type === ContentTypes.TEXT && contentPart.type === ContentTypes.TEXT) {
-              contentPart[ContentTypes.TEXT] = text;
-            }
-          }
-        }
+      } else {
+        latestMessage.text = generation;
       }
       this.continued = true;
     } else {
       this.currentMessages.push(userMessage);
     }
 
-    /**
-     * When the userMessage is pushed to currentMessages, the parentMessage is the userMessageId.
-     * this only matters when buildMessages is utilizing the parentMessageId, and may vary on implementation
-     */
-    const parentMessageId = isEdited ? head : userMessage.messageId;
-    this.parentMessageId = parentMessageId;
     let {
       prompt: payload,
       tokenCountMap,
       promptTokens,
     } = await this.buildMessages(
       this.currentMessages,
-      parentMessageId,
+      // When the userMessage is pushed to currentMessages, the parentMessage is the userMessageId.
+      // this only matters when buildMessages is utilizing the parentMessageId, and may vary on implementation
+      isEdited ? head : userMessage.messageId,
       this.getBuildMessagesOptions(opts),
       opts,
     );
@@ -670,9 +631,9 @@ class BaseClient {
       }
     }
 
-    const balanceConfig = getBalanceConfig(appConfig);
+    const balance = this.options.req?.app?.locals?.balance;
     if (
-      balanceConfig?.enabled &&
+      balance?.enabled &&
       supportsBalanceCheck[this.options.endpointType ?? this.options.endpoint]
     ) {
       await checkBalance({
@@ -711,32 +672,16 @@ class BaseClient {
     };
 
     if (typeof completion === 'string') {
-      responseMessage.text = completion;
+      responseMessage.text = addSpaceIfNeeded(generation) + completion;
     } else if (
       Array.isArray(completion) &&
       (this.clientName === EModelEndpoint.agents ||
         isParamEndpoint(this.options.endpoint, this.options.endpointType))
     ) {
       responseMessage.text = '';
-
-      if (!opts.editedContent || this.currentMessages.length === 0) {
-        responseMessage.content = completion;
-      } else {
-        const latestMessage = this.currentMessages[this.currentMessages.length - 1];
-        if (!latestMessage?.content) {
-          responseMessage.content = completion;
-        } else {
-          const existingContent = [...latestMessage.content];
-          const { type: editedType } = opts.editedContent;
-          responseMessage.content = this.mergeEditedContent(
-            existingContent,
-            completion,
-            editedType,
-          );
-        }
-      }
+      responseMessage.content = completion;
     } else if (Array.isArray(completion)) {
-      responseMessage.text = completion.join('');
+      responseMessage.text = addSpaceIfNeeded(generation) + completion.join('');
     }
 
     if (
@@ -767,14 +712,9 @@ class BaseClient {
       } else {
         responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
         completionTokens = responseMessage.tokenCount;
-        await this.recordTokenUsage({
-          usage,
-          promptTokens,
-          completionTokens,
-          balance: balanceConfig,
-          model: responseMessage.model,
-        });
       }
+
+      await this.recordTokenUsage({ promptTokens, completionTokens, usage });
     }
 
     if (userMessagePromise) {
@@ -852,8 +792,7 @@ class BaseClient {
 
     userMessage.tokenCount = userMessageTokenCount;
     /*
-      Note: `AgentController` saves the user message if not saved here
-      (noted by `savedMessageIds`), so we update the count of its `userMessage` reference
+      Note: `AskController` saves the user message, so we update the count of its `userMessage` reference
     */
     if (typeof opts?.getReqData === 'function') {
       opts.getReqData({
@@ -862,8 +801,7 @@ class BaseClient {
     }
     /*
       Note: we update the user message to be sure it gets the calculated token count;
-      though `AgentController` saves the user message if not saved here
-      (noted by `savedMessageIds`), EditController does not
+      though `AskController` saves the user message, EditController does not
     */
     await userMessagePromise;
     await this.updateMessageInDatabase({
@@ -1155,50 +1093,6 @@ class BaseClient {
     return numTokens;
   }
 
-  /**
-   * Merges completion content with existing content when editing TEXT or THINK types
-   * @param {Array} existingContent - The existing content array
-   * @param {Array} newCompletion - The new completion content
-   * @param {string} editedType - The type of content being edited
-   * @returns {Array} The merged content array
-   */
-  mergeEditedContent(existingContent, newCompletion, editedType) {
-    if (!newCompletion.length) {
-      return existingContent.concat(newCompletion);
-    }
-
-    if (editedType !== ContentTypes.TEXT && editedType !== ContentTypes.THINK) {
-      return existingContent.concat(newCompletion);
-    }
-
-    const lastIndex = existingContent.length - 1;
-    const lastExisting = existingContent[lastIndex];
-    const firstNew = newCompletion[0];
-
-    if (lastExisting?.type !== firstNew?.type || firstNew?.type !== editedType) {
-      return existingContent.concat(newCompletion);
-    }
-
-    const mergedContent = [...existingContent];
-    if (editedType === ContentTypes.TEXT) {
-      mergedContent[lastIndex] = {
-        ...mergedContent[lastIndex],
-        [ContentTypes.TEXT]:
-          (mergedContent[lastIndex][ContentTypes.TEXT] || '') + (firstNew[ContentTypes.TEXT] || ''),
-      };
-    } else {
-      mergedContent[lastIndex] = {
-        ...mergedContent[lastIndex],
-        [ContentTypes.THINK]:
-          (mergedContent[lastIndex][ContentTypes.THINK] || '') +
-          (firstNew[ContentTypes.THINK] || ''),
-      };
-    }
-
-    // Add remaining completion items
-    return mergedContent.concat(newCompletion.slice(1));
-  }
-
   async sendPayload(payload, opts = {}) {
     if (opts && typeof opts === 'object') {
       this.setOptions(opts);
@@ -1207,135 +1101,8 @@ class BaseClient {
     return await this.sendCompletion(payload, opts);
   }
 
-  async addDocuments(message, attachments) {
-    const documentResult = await encodeAndFormatDocuments(
-      this.options.req,
-      attachments,
-      {
-        provider: this.options.agent?.provider,
-        useResponsesApi: this.options.agent?.model_parameters?.useResponsesApi,
-      },
-      getStrategyFunctions,
-    );
-    message.documents =
-      documentResult.documents && documentResult.documents.length
-        ? documentResult.documents
-        : undefined;
-    return documentResult.files;
-  }
-
-  async addVideos(message, attachments) {
-    const videoResult = await encodeAndFormatVideos(
-      this.options.req,
-      attachments,
-      this.options.agent.provider,
-      getStrategyFunctions,
-    );
-    message.videos =
-      videoResult.videos && videoResult.videos.length ? videoResult.videos : undefined;
-    return videoResult.files;
-  }
-
-  async addAudios(message, attachments) {
-    const audioResult = await encodeAndFormatAudios(
-      this.options.req,
-      attachments,
-      this.options.agent.provider,
-      getStrategyFunctions,
-    );
-    message.audios =
-      audioResult.audios && audioResult.audios.length ? audioResult.audios : undefined;
-    return audioResult.files;
-  }
-
-  /**
-   * Extracts text context from attachments and sets it on the message.
-   * This handles text that was already extracted from files (OCR, transcriptions, document text, etc.)
-   * @param {TMessage} message - The message to add context to
-   * @param {MongoFile[]} attachments - Array of file attachments
-   * @returns {Promise<void>}
-   */
-  async addFileContextToMessage(message, attachments) {
-    const fileContext = await extractFileContext({
-      attachments,
-      req: this.options?.req,
-      tokenCountFn: (text) => countTokens(text),
-    });
-
-    if (fileContext) {
-      message.fileContext = fileContext;
-    }
-  }
-
-  async processAttachments(message, attachments) {
-    const categorizedAttachments = {
-      images: [],
-      videos: [],
-      audios: [],
-      documents: [],
-    };
-
-    const allFiles = [];
-
-    for (const file of attachments) {
-      /** @type {FileSources} */
-      const source = file.source ?? FileSources.local;
-      if (source === FileSources.text) {
-        allFiles.push(file);
-        continue;
-      }
-      if (file.embedded === true || file.metadata?.fileIdentifier != null) {
-        allFiles.push(file);
-        continue;
-      }
-
-      if (file.type.startsWith('image/')) {
-        categorizedAttachments.images.push(file);
-      } else if (file.type === 'application/pdf') {
-        categorizedAttachments.documents.push(file);
-        allFiles.push(file);
-      } else if (file.type.startsWith('video/')) {
-        categorizedAttachments.videos.push(file);
-        allFiles.push(file);
-      } else if (file.type.startsWith('audio/')) {
-        categorizedAttachments.audios.push(file);
-        allFiles.push(file);
-      }
-    }
-
-    const [imageFiles] = await Promise.all([
-      categorizedAttachments.images.length > 0
-        ? this.addImageURLs(message, categorizedAttachments.images)
-        : Promise.resolve([]),
-      categorizedAttachments.documents.length > 0
-        ? this.addDocuments(message, categorizedAttachments.documents)
-        : Promise.resolve([]),
-      categorizedAttachments.videos.length > 0
-        ? this.addVideos(message, categorizedAttachments.videos)
-        : Promise.resolve([]),
-      categorizedAttachments.audios.length > 0
-        ? this.addAudios(message, categorizedAttachments.audios)
-        : Promise.resolve([]),
-    ]);
-
-    allFiles.push(...imageFiles);
-
-    const seenFileIds = new Set();
-    const uniqueFiles = [];
-
-    for (const file of allFiles) {
-      if (file.file_id && !seenFileIds.has(file.file_id)) {
-        seenFileIds.add(file.file_id);
-        uniqueFiles.push(file);
-      } else if (!file.file_id) {
-        uniqueFiles.push(file);
-      }
-    }
-
-    return uniqueFiles;
-  }
-
   /**
+   *
    * @param {TMessage[]} _messages
    * @returns {Promise<TMessage[]>}
    */
@@ -1384,8 +1151,7 @@ class BaseClient {
         {},
       );
 
-      await this.addFileContextToMessage(message, files);
-      await this.processAttachments(message, files);
+      await this.addImageURLs(message, files, this.visionMode);
 
       this.message_file_map[message.messageId] = files;
       return message;

api/app/clients/ChatGPTClient.js

@@ -0,0 +1,804 @@
+const { Keyv } = require('keyv');
+const crypto = require('crypto');
+const { CohereClient } = require('cohere-ai');
+const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
+const { constructAzureURL, genAzureChatCompletion } = require('@librechat/api');
+const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
+const {
+  ImageDetail,
+  EModelEndpoint,
+  resolveHeaders,
+  CohereConstants,
+  mapModelToAzureConfig,
+} = require('librechat-data-provider');
+const { createContextHandlers } = require('./prompts');
+const { createCoherePayload } = require('./llm');
+const { extractBaseURL } = require('~/utils');
+const BaseClient = require('./BaseClient');
+const { logger } = require('~/config');
+
+const CHATGPT_MODEL = 'gpt-3.5-turbo';
+const tokenizersCache = {};
+
+class ChatGPTClient extends BaseClient {
+  constructor(apiKey, options = {}, cacheOptions = {}) {
+    super(apiKey, options, cacheOptions);
+
+    cacheOptions.namespace = cacheOptions.namespace || 'chatgpt';
+    this.conversationsCache = new Keyv(cacheOptions);
+    this.setOptions(options);
+  }
+
+  setOptions(options) {
+    if (this.options && !this.options.replaceOptions) {
+      // nested options aren't spread properly, so we need to do this manually
+      this.options.modelOptions = {
+        ...this.options.modelOptions,
+        ...options.modelOptions,
+      };
+      delete options.modelOptions;
+      // now we can merge options
+      this.options = {
+        ...this.options,
+        ...options,
+      };
+    } else {
+      this.options = options;
+    }
+
+    if (this.options.openaiApiKey) {
+      this.apiKey = this.options.openaiApiKey;
+    }
+
+    const modelOptions = this.options.modelOptions || {};
+    this.modelOptions = {
+      ...modelOptions,
+      // set some good defaults (check for undefined in some cases because they may be 0)
+      model: modelOptions.model || CHATGPT_MODEL,
+      temperature: typeof modelOptions.temperature === 'undefined' ? 0.8 : modelOptions.temperature,
+      top_p: typeof modelOptions.top_p === 'undefined' ? 1 : modelOptions.top_p,
+      presence_penalty:
+        typeof modelOptions.presence_penalty === 'undefined' ? 1 : modelOptions.presence_penalty,
+      stop: modelOptions.stop,
+    };
+
+    this.isChatGptModel = this.modelOptions.model.includes('gpt-');
+    const { isChatGptModel } = this;
+    this.isUnofficialChatGptModel =
+      this.modelOptions.model.startsWith('text-chat') ||
+      this.modelOptions.model.startsWith('text-davinci-002-render');
+    const { isUnofficialChatGptModel } = this;
+
+    // Davinci models have a max context length of 4097 tokens.
+    this.maxContextTokens = this.options.maxContextTokens || (isChatGptModel ? 4095 : 4097);
+    // I decided to reserve 1024 tokens for the response.
+    // The max prompt tokens is determined by the max context tokens minus the max response tokens.
+    // Earlier messages will be dropped until the prompt is within the limit.
+    this.maxResponseTokens = this.modelOptions.max_tokens || 1024;
+    this.maxPromptTokens =
+      this.options.maxPromptTokens || this.maxContextTokens - this.maxResponseTokens;
+
+    if (this.maxPromptTokens + this.maxResponseTokens > this.maxContextTokens) {
+      throw new Error(
+        `maxPromptTokens + max_tokens (${this.maxPromptTokens} + ${this.maxResponseTokens} = ${
+          this.maxPromptTokens + this.maxResponseTokens
+        }) must be less than or equal to maxContextTokens (${this.maxContextTokens})`,
+      );
+    }
+
+    this.userLabel = this.options.userLabel || 'User';
+    this.chatGptLabel = this.options.chatGptLabel || 'ChatGPT';
+
+    if (isChatGptModel) {
+      // 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 (isUnofficialChatGptModel) {
+      this.startToken = '<|im_start|>';
+      this.endToken = '<|im_end|>';
+      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 `chatGptLabel` because I've never seen it happen
+      this.modelOptions.stop = stopTokens;
+    }
+
+    if (this.options.reverseProxyUrl) {
+      this.completionsUrl = this.options.reverseProxyUrl;
+    } else if (isChatGptModel) {
+      this.completionsUrl = 'https://api.openai.com/v1/chat/completions';
+    } else {
+      this.completionsUrl = 'https://api.openai.com/v1/completions';
+    }
+
+    return this;
+  }
+
+  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;
+  }
+
+  /** @type {getCompletion} */
+  async getCompletion(input, onProgress, onTokenProgress, abortController = null) {
+    if (!abortController) {
+      abortController = new AbortController();
+    }
+
+    let modelOptions = { ...this.modelOptions };
+    if (typeof onProgress === 'function') {
+      modelOptions.stream = true;
+    }
+    if (this.isChatGptModel) {
+      modelOptions.messages = input;
+    } else {
+      modelOptions.prompt = input;
+    }
+
+    if (this.useOpenRouter && modelOptions.prompt) {
+      delete modelOptions.stop;
+    }
+
+    const { debug } = this.options;
+    let baseURL = this.completionsUrl;
+    if (debug) {
+      console.debug();
+      console.debug(baseURL);
+      console.debug(modelOptions);
+      console.debug();
+    }
+
+    const opts = {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    };
+
+    if (this.isVisionModel) {
+      modelOptions.max_tokens = 4000;
+    }
+
+    /** @type {TAzureConfig | undefined} */
+    const azureConfig = this.options?.req?.app?.locals?.[EModelEndpoint.azureOpenAI];
+
+    const isAzure = this.azure || this.options.azure;
+    if (
+      (isAzure && this.isVisionModel && azureConfig) ||
+      (azureConfig && this.isVisionModel && this.options.endpoint === EModelEndpoint.azureOpenAI)
+    ) {
+      const { modelGroupMap, groupMap } = azureConfig;
+      const {
+        azureOptions,
+        baseURL,
+        headers = {},
+        serverless,
+      } = mapModelToAzureConfig({
+        modelName: modelOptions.model,
+        modelGroupMap,
+        groupMap,
+      });
+      opts.headers = resolveHeaders(headers);
+      this.langchainProxy = extractBaseURL(baseURL);
+      this.apiKey = azureOptions.azureOpenAIApiKey;
+
+      const groupName = modelGroupMap[modelOptions.model].group;
+      this.options.addParams = azureConfig.groupMap[groupName].addParams;
+      this.options.dropParams = azureConfig.groupMap[groupName].dropParams;
+      // Note: `forcePrompt` not re-assigned as only chat models are vision models
+
+      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) {
+      opts.headers = { ...opts.headers, ...this.options.headers };
+    }
+
+    if (isAzure) {
+      // Azure does not accept `model` in the body, so we need to remove it.
+      delete modelOptions.model;
+
+      baseURL = this.langchainProxy
+        ? constructAzureURL({
+            baseURL: this.langchainProxy,
+            azureOptions: this.azure,
+          })
+        : this.azureEndpoint.split(/(?<!\/)\/(chat|completion)\//)[0];
+
+      if (this.options.forcePrompt) {
+        baseURL += '/completions';
+      } else {
+        baseURL += '/chat/completions';
+      }
+
+      opts.defaultQuery = { 'api-version': this.azure.azureOpenAIApiVersion };
+      opts.headers = { ...opts.headers, 'api-key': this.apiKey };
+    } else if (this.apiKey) {
+      opts.headers.Authorization = `Bearer ${this.apiKey}`;
+    }
+
+    if (process.env.OPENAI_ORGANIZATION) {
+      opts.headers['OpenAI-Organization'] = process.env.OPENAI_ORGANIZATION;
+    }
+
+    if (this.useOpenRouter) {
+      opts.headers['HTTP-Referer'] = 'https://librechat.ai';
+      opts.headers['X-Title'] = 'LibreChat';
+    }
+
+    /* 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
+      */
+    if (baseURL.includes('https://api.mistral.ai/v1') && modelOptions.messages) {
+      const { messages } = modelOptions;
+
+      const systemMessageIndex = messages.findIndex((msg) => msg.role === 'system');
+
+      if (systemMessageIndex > 0) {
+        const [systemMessage] = messages.splice(systemMessageIndex, 1);
+        messages.unshift(systemMessage);
+      }
+
+      modelOptions.messages = messages;
+
+      if (messages.length === 1 && messages[0].role === 'system') {
+        modelOptions.messages[0].role = 'user';
+      }
+    }
+
+    if (this.options.addParams && typeof this.options.addParams === 'object') {
+      modelOptions = {
+        ...modelOptions,
+        ...this.options.addParams,
+      };
+      logger.debug('[ChatGPTClient] chatCompletion: added params', {
+        addParams: this.options.addParams,
+        modelOptions,
+      });
+    }
+
+    if (this.options.dropParams && Array.isArray(this.options.dropParams)) {
+      this.options.dropParams.forEach((param) => {
+        delete modelOptions[param];
+      });
+      logger.debug('[ChatGPTClient] chatCompletion: dropped params', {
+        dropParams: this.options.dropParams,
+        modelOptions,
+      });
+    }
+
+    if (baseURL.startsWith(CohereConstants.API_URL)) {
+      const payload = createCoherePayload({ modelOptions });
+      return await this.cohereChatCompletion({ payload, onTokenProgress });
+    }
+
+    if (baseURL.includes('v1') && !baseURL.includes('/completions') && !this.isChatCompletion) {
+      baseURL = baseURL.split('v1')[0] + 'v1/completions';
+    } else if (
+      baseURL.includes('v1') &&
+      !baseURL.includes('/chat/completions') &&
+      this.isChatCompletion
+    ) {
+      baseURL = baseURL.split('v1')[0] + 'v1/chat/completions';
+    }
+
+    const BASE_URL = new URL(baseURL);
+    if (opts.defaultQuery) {
+      Object.entries(opts.defaultQuery).forEach(([key, value]) => {
+        BASE_URL.searchParams.append(key, value);
+      });
+      delete opts.defaultQuery;
+    }
+
+    const completionsURL = BASE_URL.toString();
+    opts.body = JSON.stringify(modelOptions);
+
+    if (modelOptions.stream) {
+      return new Promise(async (resolve, reject) => {
+        try {
+          let done = false;
+          await fetchEventSource(completionsURL, {
+            ...opts,
+            signal: abortController.signal,
+            async onopen(response) {
+              if (response.status === 200) {
+                return;
+              }
+              if (debug) {
+                console.debug(response);
+              }
+              let error;
+              try {
+                const body = await response.text();
+                error = new Error(`Failed to send message. HTTP ${response.status} - ${body}`);
+                error.status = response.status;
+                error.json = JSON.parse(body);
+              } catch {
+                error = error || new Error(`Failed to send message. HTTP ${response.status}`);
+              }
+              throw error;
+            },
+            onclose() {
+              if (debug) {
+                console.debug('Server closed the connection unexpectedly, returning...');
+              }
+              // workaround for private API not sending [DONE] event
+              if (!done) {
+                onProgress('[DONE]');
+                resolve();
+              }
+            },
+            onerror(err) {
+              if (debug) {
+                console.debug(err);
+              }
+              // rethrow to stop the operation
+              throw err;
+            },
+            onmessage(message) {
+              if (debug) {
+                console.debug(message);
+              }
+              if (!message.data || message.event === 'ping') {
+                return;
+              }
+              if (message.data === '[DONE]') {
+                onProgress('[DONE]');
+                resolve();
+                done = true;
+                return;
+              }
+              onProgress(JSON.parse(message.data));
+            },
+          });
+        } catch (err) {
+          reject(err);
+        }
+      });
+    }
+    const response = await fetch(completionsURL, {
+      ...opts,
+      signal: abortController.signal,
+    });
+    if (response.status !== 200) {
+      const body = await response.text();
+      const error = new Error(`Failed to send message. HTTP ${response.status} - ${body}`);
+      error.status = response.status;
+      try {
+        error.json = JSON.parse(body);
+      } catch {
+        error.body = body;
+      }
+      throw error;
+    }
+    return response.json();
+  }
+
+  /** @type {cohereChatCompletion} */
+  async cohereChatCompletion({ payload, onTokenProgress }) {
+    const cohere = new CohereClient({
+      token: this.apiKey,
+      environment: this.completionsUrl,
+    });
+
+    if (!payload.stream) {
+      const chatResponse = await cohere.chat(payload);
+      return chatResponse.text;
+    }
+
+    const chatStream = await cohere.chatStream(payload);
+    let reply = '';
+    for await (const message of chatStream) {
+      if (!message) {
+        continue;
+      }
+
+      if (message.eventType === 'text-generation' && message.text) {
+        onTokenProgress(message.text);
+        reply += message.text;
+      }
+      /*
+      Cohere API Chinese Unicode character replacement hotfix.
+      Should be un-commented when the following issue is resolved:
+      https://github.com/cohere-ai/cohere-typescript/issues/151
+
+      else if (message.eventType === 'stream-end' && message.response) {
+        reply = message.response.text;
+      }
+      */
+    }
+
+    return reply;
+  }
+
+  async generateTitle(userMessage, botMessage) {
+    const instructionsPayload = {
+      role: 'system',
+      content: `Write an extremely concise subtitle for this conversation with no more than a few words. All words should be capitalized. Exclude punctuation.
+
+||>Message:
+${userMessage.message}
+||>Response:
+${botMessage.message}
+
+||>Title:`,
+    };
+
+    const titleGenClientOptions = JSON.parse(JSON.stringify(this.options));
+    titleGenClientOptions.modelOptions = {
+      model: 'gpt-3.5-turbo',
+      temperature: 0,
+      presence_penalty: 0,
+      frequency_penalty: 0,
+    };
+    const titleGenClient = new ChatGPTClient(this.apiKey, titleGenClientOptions);
+    const result = await titleGenClient.getCompletion([instructionsPayload], null);
+    // remove any non-alphanumeric characters, replace multiple spaces with 1, and then trim
+    return result.choices[0].message.content
+      .replace(/[^a-zA-Z0-9' ]/g, '')
+      .replace(/\s+/g, ' ')
+      .trim();
+  }
+
+  async sendMessage(message, opts = {}) {
+    if (opts.clientOptions && typeof opts.clientOptions === 'object') {
+      this.setOptions(opts.clientOptions);
+    }
+
+    const conversationId = opts.conversationId || crypto.randomUUID();
+    const parentMessageId = opts.parentMessageId || crypto.randomUUID();
+
+    let conversation =
+      typeof opts.conversation === 'object'
+        ? opts.conversation
+        : await this.conversationsCache.get(conversationId);
+
+    let isNewConversation = false;
+    if (!conversation) {
+      conversation = {
+        messages: [],
+        createdAt: Date.now(),
+      };
+      isNewConversation = true;
+    }
+
+    const shouldGenerateTitle = opts.shouldGenerateTitle && isNewConversation;
+
+    const userMessage = {
+      id: crypto.randomUUID(),
+      parentMessageId,
+      role: 'User',
+      message,
+    };
+    conversation.messages.push(userMessage);
+
+    // Doing it this way instead of having each message be a separate element in the array seems to be more reliable,
+    // especially when it comes to keeping the AI in character. It also seems to improve coherency and context retention.
+    const { prompt: payload, context } = await this.buildPrompt(
+      conversation.messages,
+      userMessage.id,
+      {
+        isChatGptModel: this.isChatGptModel,
+        promptPrefix: opts.promptPrefix,
+      },
+    );
+
+    if (this.options.keepNecessaryMessagesOnly) {
+      conversation.messages = context;
+    }
+
+    let reply = '';
+    let result = null;
+    if (typeof opts.onProgress === 'function') {
+      await this.getCompletion(
+        payload,
+        (progressMessage) => {
+          if (progressMessage === '[DONE]') {
+            return;
+          }
+          const token = this.isChatGptModel
+            ? progressMessage.choices[0].delta.content
+            : progressMessage.choices[0].text;
+          // first event's delta content is always undefined
+          if (!token) {
+            return;
+          }
+          if (this.options.debug) {
+            console.debug(token);
+          }
+          if (token === this.endToken) {
+            return;
+          }
+          opts.onProgress(token);
+          reply += token;
+        },
+        opts.abortController || new AbortController(),
+      );
+    } else {
+      result = await this.getCompletion(
+        payload,
+        null,
+        opts.abortController || new AbortController(),
+      );
+      if (this.options.debug) {
+        console.debug(JSON.stringify(result));
+      }
+      if (this.isChatGptModel) {
+        reply = result.choices[0].message.content;
+      } else {
+        reply = result.choices[0].text.replace(this.endToken, '');
+      }
+    }
+
+    // avoids some rendering issues when using the CLI app
+    if (this.options.debug) {
+      console.debug();
+    }
+
+    reply = reply.trim();
+
+    const replyMessage = {
+      id: crypto.randomUUID(),
+      parentMessageId: userMessage.id,
+      role: 'ChatGPT',
+      message: reply,
+    };
+    conversation.messages.push(replyMessage);
+
+    const returnData = {
+      response: replyMessage.message,
+      conversationId,
+      parentMessageId: replyMessage.parentMessageId,
+      messageId: replyMessage.id,
+      details: result || {},
+    };
+
+    if (shouldGenerateTitle) {
+      conversation.title = await this.generateTitle(userMessage, replyMessage);
+      returnData.title = conversation.title;
+    }
+
+    await this.conversationsCache.set(conversationId, conversation);
+
+    if (this.options.returnConversation) {
+      returnData.conversation = conversation;
+    }
+
+    return returnData;
+  }
+
+  async buildPrompt(messages, { isChatGptModel = false, promptPrefix = null }) {
+    promptPrefix = (promptPrefix || this.options.promptPrefix || '').trim();
+
+    // Handle attachments and create augmentedPrompt
+    if (this.options.attachments) {
+      const attachments = await this.options.attachments;
+      const lastMessage = messages[messages.length - 1];
+
+      if (this.message_file_map) {
+        this.message_file_map[lastMessage.messageId] = attachments;
+      } else {
+        this.message_file_map = {
+          [lastMessage.messageId]: attachments,
+        };
+      }
+
+      const files = await this.addImageURLs(lastMessage, attachments);
+      this.options.attachments = files;
+
+      this.contextHandlers = createContextHandlers(this.options.req, lastMessage.text);
+    }
+
+    if (this.message_file_map) {
+      this.contextHandlers = createContextHandlers(
+        this.options.req,
+        messages[messages.length - 1].text,
+      );
+    }
+
+    // Calculate image token cost and process embedded files
+    messages.forEach((message, i) => {
+      if (this.message_file_map && this.message_file_map[message.messageId]) {
+        const attachments = this.message_file_map[message.messageId];
+        for (const file of attachments) {
+          if (file.embedded) {
+            this.contextHandlers?.processFile(file);
+            continue;
+          }
+
+          messages[i].tokenCount =
+            (messages[i].tokenCount || 0) +
+            this.calculateImageTokenCost({
+              width: file.width,
+              height: file.height,
+              detail: this.options.imageDetail ?? ImageDetail.auto,
+            });
+        }
+      }
+    });
+
+    if (this.contextHandlers) {
+      this.augmentedPrompt = await this.contextHandlers.createContext();
+      promptPrefix = this.augmentedPrompt + promptPrefix;
+    }
+
+    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 = `${this.startToken}Instructions:\n${promptPrefix}`;
+    }
+    const promptSuffix = `${this.startToken}${this.chatGptLabel}:\n`; // Prompt ChatGPT to respond.
+
+    const instructionsPayload = {
+      role: 'system',
+      content: promptPrefix,
+    };
+
+    const messagePayload = {
+      role: 'system',
+      content: promptSuffix,
+    };
+
+    let currentTokenCount;
+    if (isChatGptModel) {
+      currentTokenCount =
+        this.getTokenCountForMessage(instructionsPayload) +
+        this.getTokenCountForMessage(messagePayload);
+    } else {
+      currentTokenCount = this.getTokenCount(`${promptPrefix}${promptSuffix}`);
+    }
+    let promptBody = '';
+    const maxTokenCount = this.maxPromptTokens;
+
+    const context = [];
+
+    // Iterate backwards through the messages, adding them to the prompt until we reach the max token count.
+    // Do this within a recursive async function so that it doesn't block the event loop for too long.
+    const buildPromptBody = async () => {
+      if (currentTokenCount < maxTokenCount && messages.length > 0) {
+        const message = messages.pop();
+        const roleLabel =
+          message?.isCreatedByUser || message?.role?.toLowerCase() === 'user'
+            ? this.userLabel
+            : this.chatGptLabel;
+        const messageString = `${this.startToken}${roleLabel}:\n${
+          message?.text ?? message?.message
+        }${this.endToken}\n`;
+        let newPromptBody;
+        if (promptBody || isChatGptModel) {
+          newPromptBody = `${messageString}${promptBody}`;
+        } else {
+          // Always insert prompt prefix before the last user message, if not gpt-3.5-turbo.
+          // This makes the AI obey the prompt instructions better, which is important for custom instructions.
+          // After a bunch of testing, it doesn't seem to cause the AI any confusion, even if you ask it things
+          // like "what's the last thing I wrote?".
+          newPromptBody = `${promptPrefix}${messageString}${promptBody}`;
+        }
+
+        context.unshift(message);
+
+        const tokenCountForMessage = this.getTokenCount(messageString);
+        const newTokenCount = currentTokenCount + tokenCountForMessage;
+        if (newTokenCount > maxTokenCount) {
+          if (promptBody) {
+            // This message would put us over the token limit, so don't add it.
+            return false;
+          }
+          // This is the first message, so we can't add it. Just throw an error.
+          throw new Error(
+            `Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
+          );
+        }
+        promptBody = newPromptBody;
+        currentTokenCount = newTokenCount;
+        // wait for next tick to avoid blocking the event loop
+        await new Promise((resolve) => setImmediate(resolve));
+        return buildPromptBody();
+      }
+      return true;
+    };
+
+    await buildPromptBody();
+
+    const prompt = `${promptBody}${promptSuffix}`;
+    if (isChatGptModel) {
+      messagePayload.content = prompt;
+      // Add 3 tokens for Assistant Label priming after all messages have been counted.
+      currentTokenCount += 3;
+    }
+
+    // Use up to `this.maxContextTokens` tokens (prompt + response), but try to leave `this.maxTokens` tokens for the response.
+    this.modelOptions.max_tokens = Math.min(
+      this.maxContextTokens - currentTokenCount,
+      this.maxResponseTokens,
+    );
+
+    if (isChatGptModel) {
+      return { prompt: [instructionsPayload, messagePayload], context };
+    }
+    return { prompt, context, promptTokens: currentTokenCount };
+  }
+
+  getTokenCount(text) {
+    return this.gptEncoder.encode(text, 'all').length;
+  }
+
+  /**
+   * Algorithm adapted from "6. Counting tokens for chat API calls" of
+   * https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
+   *
+   * An additional 3 tokens need to be added for assistant label priming after all messages have been counted.
+   *
+   * @param {Object} message
+   */
+  getTokenCountForMessage(message) {
+    // 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;
+
+    if (this.modelOptions.model === 'gpt-3.5-turbo-0301') {
+      tokensPerMessage = 4;
+      tokensPerName = -1;
+    }
+
+    let numTokens = tokensPerMessage;
+    for (let [key, value] of Object.entries(message)) {
+      numTokens += this.getTokenCount(value);
+      if (key === 'name') {
+        numTokens += tokensPerName;
+      }
+    }
+
+    return numTokens;
+  }
+}
+
+module.exports = ChatGPTClient;

api/app/clients/GoogleClient.js

@@ -1,10 +1,7 @@
 const { google } = require('googleapis');
-const { sleep } = require('@librechat/agents');
-const { logger } = require('@librechat/data-schemas');
-const { getModelMaxTokens } = require('@librechat/api');
+const { Tokenizer } = require('@librechat/api');
 const { concat } = require('@langchain/core/utils/stream');
 const { ChatVertexAI } = require('@langchain/google-vertexai');
-const { Tokenizer, getSafetySettings } = require('@librechat/api');
 const { ChatGoogleGenerativeAI } = require('@langchain/google-genai');
 const { GoogleGenerativeAI: GenAI } = require('@google/generative-ai');
 const { HumanMessage, SystemMessage } = require('@langchain/core/messages');
@@ -15,15 +12,18 @@ const {
   endpointSettings,
   parseTextParts,
   EModelEndpoint,
-  googleSettings,
   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 { spendTokens } = require('~/models/spendTokens');
+const { getModelMaxTokens } = require('~/utils');
+const { sleep } = require('~/server/utils');
+const { logger } = require('~/config');
 const {
   formatMessage,
   createContextHandlers,
@@ -166,16 +166,6 @@ class GoogleClient extends BaseClient {
       );
     }
 
-    // Add thinking configuration
-    this.modelOptions.thinkingConfig = {
-      thinkingBudget:
-        (this.modelOptions.thinking ?? googleSettings.thinking.default)
-          ? this.modelOptions.thinkingBudget
-          : 0,
-    };
-    delete this.modelOptions.thinking;
-    delete this.modelOptions.thinkingBudget;
-
     this.sender =
       this.options.sender ??
       getResponseSender({

api/app/clients/OpenAIClient.js

@@ -1,15 +1,12 @@
-const { logger } = require('@librechat/data-schemas');
+const { OllamaClient } = require('./OllamaClient');
 const { HttpsProxyAgent } = require('https-proxy-agent');
-const { sleep, SplitStreamHandler, CustomOpenAIClient: OpenAI } = require('@librechat/agents');
+const { SplitStreamHandler, CustomOpenAIClient: OpenAI } = require('@librechat/agents');
 const {
   isEnabled,
   Tokenizer,
   createFetch,
-  resolveHeaders,
   constructAzureURL,
-  getModelMaxTokens,
   genAzureChatCompletion,
-  getModelMaxOutputTokens,
   createStreamEventHandlers,
 } = require('@librechat/api');
 const {
@@ -18,6 +15,7 @@ const {
   ContentTypes,
   parseTextParts,
   EModelEndpoint,
+  resolveHeaders,
   KnownEndpoints,
   openAISettings,
   ImageDetailCost,
@@ -33,20 +31,28 @@ const {
   titleInstruction,
   createContextHandlers,
 } = require('./prompts');
+const { extractBaseURL, getModelMaxTokens, getModelMaxOutputTokens } = require('~/utils');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
+const { addSpaceIfNeeded, sleep } = require('~/server/utils');
 const { spendTokens } = require('~/models/spendTokens');
-const { addSpaceIfNeeded } = require('~/server/utils');
 const { handleOpenAIErrors } = require('./tools/util');
-const { OllamaClient } = require('./OllamaClient');
+const { createLLM, RunManager } = require('./llm');
+const ChatGPTClient = require('./ChatGPTClient');
 const { summaryBuffer } = require('./memory');
 const { runTitleChain } = require('./chains');
-const { extractBaseURL } = require('~/utils');
 const { tokenSplit } = require('./document');
 const BaseClient = require('./BaseClient');
+const { logger } = require('~/config');
 
 class OpenAIClient extends BaseClient {
   constructor(apiKey, options = {}) {
     super(apiKey, options);
+    this.ChatGPTClient = new ChatGPTClient();
+    this.buildPrompt = this.ChatGPTClient.buildPrompt.bind(this);
+    /** @type {getCompletion} */
+    this.getCompletion = this.ChatGPTClient.getCompletion.bind(this);
+    /** @type {cohereChatCompletion} */
+    this.cohereChatCompletion = this.ChatGPTClient.cohereChatCompletion.bind(this);
     this.contextStrategy = options.contextStrategy
       ? options.contextStrategy.toLowerCase()
       : 'discard';
@@ -373,12 +379,23 @@ class OpenAIClient extends BaseClient {
     return files;
   }
 
-  async buildMessages(messages, parentMessageId, { promptPrefix = null }, opts) {
+  async buildMessages(
+    messages,
+    parentMessageId,
+    { isChatCompletion = false, promptPrefix = null },
+    opts,
+  ) {
     let orderedMessages = this.constructor.getMessagesForConversation({
       messages,
       parentMessageId,
       summary: this.shouldSummarize,
     });
+    if (!isChatCompletion) {
+      return await this.buildPrompt(orderedMessages, {
+        isChatGptModel: isChatCompletion,
+        promptPrefix,
+      });
+    }
 
     let payload;
     let instructions;
@@ -613,8 +630,77 @@ class OpenAIClient extends BaseClient {
     return (reply ?? '').trim();
   }
 
-  initializeLLM() {
-    throw new Error('Deprecated');
+  initializeLLM({
+    model = openAISettings.model.default,
+    modelName,
+    temperature = 0.2,
+    max_tokens,
+    streaming,
+    context,
+    tokenBuffer,
+    initialMessageCount,
+    conversationId,
+  }) {
+    const modelOptions = {
+      modelName: modelName ?? model,
+      temperature,
+      user: this.user,
+    };
+
+    if (max_tokens) {
+      modelOptions.max_tokens = max_tokens;
+    }
+
+    const configOptions = {};
+
+    if (this.langchainProxy) {
+      configOptions.basePath = this.langchainProxy;
+    }
+
+    if (this.useOpenRouter) {
+      configOptions.basePath = 'https://openrouter.ai/api/v1';
+      configOptions.baseOptions = {
+        headers: {
+          'HTTP-Referer': 'https://librechat.ai',
+          'X-Title': 'LibreChat',
+        },
+      };
+    }
+
+    const { headers } = this.options;
+    if (headers && typeof headers === 'object' && !Array.isArray(headers)) {
+      configOptions.baseOptions = {
+        headers: resolveHeaders({
+          ...headers,
+          ...configOptions?.baseOptions?.headers,
+        }),
+      };
+    }
+
+    if (this.options.proxy) {
+      configOptions.httpAgent = new HttpsProxyAgent(this.options.proxy);
+      configOptions.httpsAgent = new HttpsProxyAgent(this.options.proxy);
+    }
+
+    const { req, res, debug } = this.options;
+    const runManager = new RunManager({ req, res, debug, abortController: this.abortController });
+    this.runManager = runManager;
+
+    const llm = createLLM({
+      modelOptions,
+      configOptions,
+      openAIApiKey: this.apiKey,
+      azure: this.azure,
+      streaming,
+      callbacks: runManager.createCallbacks({
+        context,
+        tokenBuffer,
+        conversationId: this.conversationId ?? conversationId,
+        initialMessageCount,
+      }),
+    });
+
+    return llm;
   }
 
   /**
@@ -632,7 +718,6 @@ class OpenAIClient extends BaseClient {
    *                            In case of failure, it will return the default title, "New Chat".
    */
   async titleConvo({ text, conversationId, responseText = '' }) {
-    const appConfig = this.options.req?.config;
     this.conversationId = conversationId;
 
     if (this.options.attachments) {
@@ -661,7 +746,8 @@ class OpenAIClient extends BaseClient {
       max_tokens: 16,
     };
 
-    const azureConfig = appConfig?.endpoints?.[EModelEndpoint.azureOpenAI];
+    /** @type {TAzureConfig | undefined} */
+    const azureConfig = this.options?.req?.app?.locals?.[EModelEndpoint.azureOpenAI];
 
     const resetTitleOptions = !!(
       (this.azure && azureConfig) ||
@@ -681,7 +767,7 @@ class OpenAIClient extends BaseClient {
         groupMap,
       });
 
-      this.options.headers = resolveHeaders({ headers });
+      this.options.headers = resolveHeaders(headers);
       this.options.reverseProxyUrl = baseURL ?? null;
       this.langchainProxy = extractBaseURL(this.options.reverseProxyUrl);
       this.apiKey = azureOptions.azureOpenAIApiKey;
@@ -1050,7 +1136,6 @@ ${convo}
   }
 
   async chatCompletion({ payload, onProgress, abortController = null }) {
-    const appConfig = this.options.req?.config;
     let error = null;
     let intermediateReply = [];
     const errorCallback = (err) => (error = err);
@@ -1096,7 +1181,8 @@ ${convo}
         opts.fetchOptions.agent = new HttpsProxyAgent(this.options.proxy);
       }
 
-      const azureConfig = appConfig?.endpoints?.[EModelEndpoint.azureOpenAI];
+      /** @type {TAzureConfig | undefined} */
+      const azureConfig = this.options?.req?.app?.locals?.[EModelEndpoint.azureOpenAI];
 
       if (
         (this.azure && this.isVisionModel && azureConfig) ||
@@ -1113,7 +1199,7 @@ ${convo}
           modelGroupMap,
           groupMap,
         });
-        opts.defaultHeaders = resolveHeaders({ headers });
+        opts.defaultHeaders = resolveHeaders(headers);
         this.langchainProxy = extractBaseURL(baseURL);
         this.apiKey = azureOptions.azureOpenAIApiKey;
 
@@ -1154,9 +1240,7 @@ ${convo}
       }
 
       if (this.isOmni === true && modelOptions.max_tokens != null) {
-        const paramName =
-          modelOptions.useResponsesApi === true ? 'max_output_tokens' : 'max_completion_tokens';
-        modelOptions[paramName] = modelOptions.max_tokens;
+        modelOptions.max_completion_tokens = modelOptions.max_tokens;
         delete modelOptions.max_tokens;
       }
       if (this.isOmni === true && modelOptions.temperature != null) {

api/app/clients/PluginsClient.js

@@ -0,0 +1,542 @@
+const OpenAIClient = require('./OpenAIClient');
+const { CallbackManager } = require('@langchain/core/callbacks/manager');
+const { BufferMemory, ChatMessageHistory } = require('langchain/memory');
+const { addImages, buildErrorInput, buildPromptPrefix } = require('./output_parsers');
+const { initializeCustomAgent, initializeFunctionsAgent } = require('./agents');
+const { processFileURL } = require('~/server/services/Files/process');
+const { EModelEndpoint } = require('librechat-data-provider');
+const { checkBalance } = require('~/models/balanceMethods');
+const { formatLangChainMessages } = require('./prompts');
+const { extractBaseURL } = require('~/utils');
+const { loadTools } = require('./tools/util');
+const { logger } = require('~/config');
+
+class PluginsClient extends OpenAIClient {
+  constructor(apiKey, options = {}) {
+    super(apiKey, options);
+    this.sender = options.sender ?? 'Assistant';
+    this.tools = [];
+    this.actions = [];
+    this.setOptions(options);
+    this.openAIApiKey = this.apiKey;
+    this.executor = null;
+  }
+
+  setOptions(options) {
+    this.agentOptions = { ...options.agentOptions };
+    this.functionsAgent = this.agentOptions?.agent === 'functions';
+    this.agentIsGpt3 = this.agentOptions?.model?.includes('gpt-3');
+
+    super.setOptions(options);
+
+    this.isGpt3 = this.modelOptions?.model?.includes('gpt-3');
+
+    if (this.options.reverseProxyUrl) {
+      this.langchainProxy = extractBaseURL(this.options.reverseProxyUrl);
+    }
+  }
+
+  getSaveOptions() {
+    return {
+      artifacts: this.options.artifacts,
+      chatGptLabel: this.options.chatGptLabel,
+      modelLabel: this.options.modelLabel,
+      promptPrefix: this.options.promptPrefix,
+      tools: this.options.tools,
+      ...this.modelOptions,
+      agentOptions: this.agentOptions,
+      iconURL: this.options.iconURL,
+      greeting: this.options.greeting,
+      spec: this.options.spec,
+    };
+  }
+
+  saveLatestAction(action) {
+    this.actions.push(action);
+  }
+
+  getFunctionModelName(input) {
+    if (/-(?!0314)\d{4}/.test(input)) {
+      return input;
+    } else if (input.includes('gpt-3.5-turbo')) {
+      return 'gpt-3.5-turbo';
+    } else if (input.includes('gpt-4')) {
+      return 'gpt-4';
+    } else {
+      return 'gpt-3.5-turbo';
+    }
+  }
+
+  getBuildMessagesOptions(opts) {
+    return {
+      isChatCompletion: true,
+      promptPrefix: opts.promptPrefix,
+      abortController: opts.abortController,
+    };
+  }
+
+  async initialize({ user, message, onAgentAction, onChainEnd, signal }) {
+    const modelOptions = {
+      modelName: this.agentOptions.model,
+      temperature: this.agentOptions.temperature,
+    };
+
+    const model = this.initializeLLM({
+      ...modelOptions,
+      context: 'plugins',
+      initialMessageCount: this.currentMessages.length + 1,
+    });
+
+    logger.debug(
+      `[PluginsClient] Agent Model: ${model.modelName} | Temp: ${model.temperature} | Functions: ${this.functionsAgent}`,
+    );
+
+    // Map Messages to Langchain format
+    const pastMessages = formatLangChainMessages(this.currentMessages.slice(0, -1), {
+      userName: this.options?.name,
+    });
+    logger.debug('[PluginsClient] pastMessages: ' + pastMessages.length);
+
+    // TODO: use readOnly memory, TokenBufferMemory? (both unavailable in LangChainJS)
+    const memory = new BufferMemory({
+      llm: model,
+      chatHistory: new ChatMessageHistory(pastMessages),
+    });
+
+    const { loadedTools } = await loadTools({
+      user,
+      model,
+      tools: this.options.tools,
+      functions: this.functionsAgent,
+      options: {
+        memory,
+        signal: this.abortController.signal,
+        openAIApiKey: this.openAIApiKey,
+        conversationId: this.conversationId,
+        fileStrategy: this.options.req.app.locals.fileStrategy,
+        processFileURL,
+        message,
+      },
+      useSpecs: true,
+    });
+
+    if (loadedTools.length === 0) {
+      return;
+    }
+
+    this.tools = loadedTools;
+
+    logger.debug('[PluginsClient] Requested Tools', this.options.tools);
+    logger.debug(
+      '[PluginsClient] Loaded Tools',
+      this.tools.map((tool) => tool.name),
+    );
+
+    const handleAction = (action, runId, callback = null) => {
+      this.saveLatestAction(action);
+
+      logger.debug('[PluginsClient] Latest Agent Action ', this.actions[this.actions.length - 1]);
+
+      if (typeof callback === 'function') {
+        callback(action, runId);
+      }
+    };
+
+    // initialize agent
+    const initializer = this.functionsAgent ? initializeFunctionsAgent : initializeCustomAgent;
+
+    let customInstructions = (this.options.promptPrefix ?? '').trim();
+    if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
+      customInstructions = `${customInstructions ?? ''}\n${this.options.artifactsPrompt}`.trim();
+    }
+
+    this.executor = await initializer({
+      model,
+      signal,
+      pastMessages,
+      tools: this.tools,
+      customInstructions,
+      verbose: this.options.debug,
+      returnIntermediateSteps: true,
+      customName: this.options.chatGptLabel,
+      currentDateString: this.currentDateString,
+      callbackManager: CallbackManager.fromHandlers({
+        async handleAgentAction(action, runId) {
+          handleAction(action, runId, onAgentAction);
+        },
+        async handleChainEnd(action) {
+          if (typeof onChainEnd === 'function') {
+            onChainEnd(action);
+          }
+        },
+      }),
+    });
+
+    logger.debug('[PluginsClient] Loaded agent.');
+  }
+
+  async executorCall(message, { signal, stream, onToolStart, onToolEnd }) {
+    let errorMessage = '';
+    const maxAttempts = 1;
+
+    for (let attempts = 1; attempts <= maxAttempts; attempts++) {
+      const errorInput = buildErrorInput({
+        message,
+        errorMessage,
+        actions: this.actions,
+        functionsAgent: this.functionsAgent,
+      });
+      const input = attempts > 1 ? errorInput : message;
+
+      logger.debug(`[PluginsClient] Attempt ${attempts} of ${maxAttempts}`);
+
+      if (errorMessage.length > 0) {
+        logger.debug('[PluginsClient] Caught error, input: ' + JSON.stringify(input));
+      }
+
+      try {
+        this.result = await this.executor.call({ input, signal }, [
+          {
+            async handleToolStart(...args) {
+              await onToolStart(...args);
+            },
+            async handleToolEnd(...args) {
+              await onToolEnd(...args);
+            },
+            async handleLLMEnd(output) {
+              const { generations } = output;
+              const { text } = generations[0][0];
+              if (text && typeof stream === 'function') {
+                await stream(text);
+              }
+            },
+          },
+        ]);
+        break; // Exit the loop if the function call is successful
+      } catch (err) {
+        logger.error('[PluginsClient] executorCall error:', err);
+        if (attempts === maxAttempts) {
+          const { run } = this.runManager.getRunByConversationId(this.conversationId);
+          const defaultOutput = `Encountered an error while attempting to respond: ${err.message}`;
+          this.result.output = run && run.error ? run.error : defaultOutput;
+          this.result.errorMessage = run && run.error ? run.error : err.message;
+          this.result.intermediateSteps = this.actions;
+          break;
+        }
+      }
+    }
+  }
+
+  /**
+   *
+   * @param {TMessage} responseMessage
+   * @param {Partial<TMessage>} saveOptions
+   * @param {string} user
+   * @returns
+   */
+  async handleResponseMessage(responseMessage, saveOptions, user) {
+    const { output, errorMessage, ...result } = this.result;
+    logger.debug('[PluginsClient][handleResponseMessage] Output:', {
+      output,
+      errorMessage,
+      ...result,
+    });
+    const { error } = responseMessage;
+    if (!error) {
+      responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
+      responseMessage.completionTokens = this.getTokenCount(responseMessage.text);
+    }
+
+    // Record usage only when completion is skipped as it is already recorded in the agent phase.
+    if (!this.agentOptions.skipCompletion && !error) {
+      await this.recordTokenUsage(responseMessage);
+    }
+
+    const databasePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
+    delete responseMessage.tokenCount;
+    return { ...responseMessage, ...result, databasePromise };
+  }
+
+  async sendMessage(message, opts = {}) {
+    /** @type {Promise<TMessage>} */
+    let userMessagePromise;
+    /** @type {{ filteredTools: string[], includedTools: string[] }} */
+    const { filteredTools = [], includedTools = [] } = this.options.req.app.locals;
+
+    if (includedTools.length > 0) {
+      const tools = this.options.tools.filter((plugin) => includedTools.includes(plugin));
+      this.options.tools = tools;
+    } else {
+      const tools = this.options.tools.filter((plugin) => !filteredTools.includes(plugin));
+      this.options.tools = tools;
+    }
+
+    // If a message is edited, no tools can be used.
+    const completionMode = this.options.tools.length === 0 || opts.isEdited;
+    if (completionMode) {
+      this.setOptions(opts);
+      return super.sendMessage(message, opts);
+    }
+
+    logger.debug('[PluginsClient] sendMessage', { userMessageText: message, opts });
+    const {
+      user,
+      conversationId,
+      responseMessageId,
+      saveOptions,
+      userMessage,
+      onAgentAction,
+      onChainEnd,
+      onToolStart,
+      onToolEnd,
+    } = await this.handleStartMethods(message, opts);
+
+    if (opts.progressCallback) {
+      opts.onProgress = opts.progressCallback.call(null, {
+        ...(opts.progressOptions ?? {}),
+        parentMessageId: userMessage.messageId,
+        messageId: responseMessageId,
+      });
+    }
+
+    this.currentMessages.push(userMessage);
+
+    let {
+      prompt: payload,
+      tokenCountMap,
+      promptTokens,
+    } = await this.buildMessages(
+      this.currentMessages,
+      userMessage.messageId,
+      this.getBuildMessagesOptions({
+        promptPrefix: null,
+        abortController: this.abortController,
+      }),
+    );
+
+    if (tokenCountMap) {
+      logger.debug('[PluginsClient] tokenCountMap', { tokenCountMap });
+      if (tokenCountMap[userMessage.messageId]) {
+        userMessage.tokenCount = tokenCountMap[userMessage.messageId];
+        logger.debug('[PluginsClient] userMessage.tokenCount', userMessage.tokenCount);
+      }
+      this.handleTokenCountMap(tokenCountMap);
+    }
+
+    this.result = {};
+    if (payload) {
+      this.currentMessages = payload;
+    }
+
+    if (!this.skipSaveUserMessage) {
+      userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
+      if (typeof opts?.getReqData === 'function') {
+        opts.getReqData({
+          userMessagePromise,
+        });
+      }
+    }
+
+    const balance = this.options.req?.app?.locals?.balance;
+    if (balance?.enabled) {
+      await checkBalance({
+        req: this.options.req,
+        res: this.options.res,
+        txData: {
+          user: this.user,
+          tokenType: 'prompt',
+          amount: promptTokens,
+          debug: this.options.debug,
+          model: this.modelOptions.model,
+          endpoint: EModelEndpoint.openAI,
+        },
+      });
+    }
+
+    const responseMessage = {
+      endpoint: EModelEndpoint.gptPlugins,
+      iconURL: this.options.iconURL,
+      messageId: responseMessageId,
+      conversationId,
+      parentMessageId: userMessage.messageId,
+      isCreatedByUser: false,
+      model: this.modelOptions.model,
+      sender: this.sender,
+      promptTokens,
+    };
+
+    await this.initialize({
+      user,
+      message,
+      onAgentAction,
+      onChainEnd,
+      signal: this.abortController.signal,
+      onProgress: opts.onProgress,
+    });
+
+    // const stream = async (text) => {
+    //   await this.generateTextStream.call(this, text, opts.onProgress, { delay: 1 });
+    // };
+    await this.executorCall(message, {
+      signal: this.abortController.signal,
+      // stream,
+      onToolStart,
+      onToolEnd,
+    });
+
+    // If message was aborted mid-generation
+    if (this.result?.errorMessage?.length > 0 && this.result?.errorMessage?.includes('cancel')) {
+      responseMessage.text = 'Cancelled.';
+      return await this.handleResponseMessage(responseMessage, saveOptions, user);
+    }
+
+    // If error occurred during generation (likely token_balance)
+    if (this.result?.errorMessage?.length > 0) {
+      responseMessage.error = true;
+      responseMessage.text = this.result.output;
+      return await this.handleResponseMessage(responseMessage, saveOptions, user);
+    }
+
+    if (this.agentOptions.skipCompletion && this.result.output && this.functionsAgent) {
+      const partialText = opts.getPartialText();
+      const trimmedPartial = opts.getPartialText().replaceAll(':::plugin:::\n', '');
+      responseMessage.text =
+        trimmedPartial.length === 0 ? `${partialText}${this.result.output}` : partialText;
+      addImages(this.result.intermediateSteps, responseMessage);
+      await this.generateTextStream(this.result.output, opts.onProgress, { delay: 5 });
+      return await this.handleResponseMessage(responseMessage, saveOptions, user);
+    }
+
+    if (this.agentOptions.skipCompletion && this.result.output) {
+      responseMessage.text = this.result.output;
+      addImages(this.result.intermediateSteps, responseMessage);
+      await this.generateTextStream(this.result.output, opts.onProgress, { delay: 5 });
+      return await this.handleResponseMessage(responseMessage, saveOptions, user);
+    }
+
+    logger.debug('[PluginsClient] Completion phase: this.result', this.result);
+
+    const promptPrefix = buildPromptPrefix({
+      result: this.result,
+      message,
+      functionsAgent: this.functionsAgent,
+    });
+
+    logger.debug('[PluginsClient]', { promptPrefix });
+
+    payload = await this.buildCompletionPrompt({
+      messages: this.currentMessages,
+      promptPrefix,
+    });
+
+    logger.debug('[PluginsClient] buildCompletionPrompt Payload', payload);
+    responseMessage.text = await this.sendCompletion(payload, opts);
+    return await this.handleResponseMessage(responseMessage, saveOptions, user);
+  }
+
+  async buildCompletionPrompt({ messages, promptPrefix: _promptPrefix }) {
+    logger.debug('[PluginsClient] buildCompletionPrompt messages', messages);
+
+    const orderedMessages = messages;
+    let promptPrefix = _promptPrefix.trim();
+    // If the prompt prefix doesn't end with the end token, add it.
+    if (!promptPrefix.endsWith(`${this.endToken}`)) {
+      promptPrefix = `${promptPrefix.trim()}${this.endToken}\n\n`;
+    }
+    promptPrefix = `${this.startToken}Instructions:\n${promptPrefix}`;
+    const promptSuffix = `${this.startToken}${this.chatGptLabel ?? 'Assistant'}:\n`;
+
+    const instructionsPayload = {
+      role: 'system',
+      content: promptPrefix,
+    };
+
+    const messagePayload = {
+      role: 'system',
+      content: promptSuffix,
+    };
+
+    if (this.isGpt3) {
+      instructionsPayload.role = 'user';
+      messagePayload.role = 'user';
+      instructionsPayload.content += `\n${promptSuffix}`;
+    }
+
+    // testing if this works with browser endpoint
+    if (!this.isGpt3 && this.options.reverseProxyUrl) {
+      instructionsPayload.role = 'user';
+    }
+
+    let currentTokenCount =
+      this.getTokenCountForMessage(instructionsPayload) +
+      this.getTokenCountForMessage(messagePayload);
+
+    let promptBody = '';
+    const maxTokenCount = this.maxPromptTokens;
+    // Iterate backwards through the messages, adding them to the prompt until we reach the max token count.
+    // Do this within a recursive async function so that it doesn't block the event loop for too long.
+    const buildPromptBody = async () => {
+      if (currentTokenCount < maxTokenCount && orderedMessages.length > 0) {
+        const message = orderedMessages.pop();
+        const isCreatedByUser = message.isCreatedByUser || message.role?.toLowerCase() === 'user';
+        const roleLabel = isCreatedByUser ? this.userLabel : this.chatGptLabel;
+        let messageString = `${this.startToken}${roleLabel}:\n${
+          message.text ?? message.content ?? ''
+        }${this.endToken}\n`;
+        let newPromptBody = `${messageString}${promptBody}`;
+
+        const tokenCountForMessage = this.getTokenCount(messageString);
+        const newTokenCount = currentTokenCount + tokenCountForMessage;
+        if (newTokenCount > maxTokenCount) {
+          if (promptBody) {
+            // This message would put us over the token limit, so don't add it.
+            return false;
+          }
+          // This is the first message, so we can't add it. Just throw an error.
+          throw new Error(
+            `Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
+          );
+        }
+        promptBody = newPromptBody;
+        currentTokenCount = newTokenCount;
+        // wait for next tick to avoid blocking the event loop
+        await new Promise((resolve) => setTimeout(resolve, 0));
+        return buildPromptBody();
+      }
+      return true;
+    };
+
+    await buildPromptBody();
+    const prompt = promptBody;
+    messagePayload.content = prompt;
+    // Add 2 tokens for metadata after all messages have been counted.
+    currentTokenCount += 2;
+
+    if (this.isGpt3 && messagePayload.content.length > 0) {
+      const context = 'Chat History:\n';
+      messagePayload.content = `${context}${prompt}`;
+      currentTokenCount += this.getTokenCount(context);
+    }
+
+    // Use up to `this.maxContextTokens` tokens (prompt + response), but try to leave `this.maxTokens` tokens for the response.
+    this.modelOptions.max_tokens = Math.min(
+      this.maxContextTokens - currentTokenCount,
+      this.maxResponseTokens,
+    );
+
+    if (this.isGpt3) {
+      messagePayload.content += promptSuffix;
+      return [instructionsPayload, messagePayload];
+    }
+
+    const result = [messagePayload, instructionsPayload];
+
+    if (this.functionsAgent && !this.isGpt3) {
+      result[1].content = `${result[1].content}\n${this.startToken}${this.chatGptLabel}:\nSure thing! Here is the output you requested:\n`;
+    }
+
+    return result.filter((message) => message.content.length > 0);
+  }
+}
+
+module.exports = PluginsClient;

api/app/clients/TextStream.js

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

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

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

api/app/clients/callbacks/createStartHandler.js

@@ -0,0 +1,95 @@
+const { promptTokensEstimate } = require('openai-chat-tokens');
+const { EModelEndpoint, supportsBalanceCheck } = require('librechat-data-provider');
+const { formatFromLangChain } = require('~/app/clients/prompts');
+const { getBalanceConfig } = require('~/server/services/Config');
+const { checkBalance } = require('~/models/balanceMethods');
+const { logger } = require('~/config');
+
+const createStartHandler = ({
+  context,
+  conversationId,
+  tokenBuffer = 0,
+  initialMessageCount,
+  manager,
+}) => {
+  return async (_llm, _messages, runId, parentRunId, extraParams) => {
+    const { invocation_params } = extraParams;
+    const { model, functions, function_call } = invocation_params;
+    const messages = _messages[0].map(formatFromLangChain);
+
+    logger.debug(`[createStartHandler] handleChatModelStart: ${context}`, {
+      model,
+      function_call,
+    });
+
+    if (context !== 'title') {
+      logger.debug(`[createStartHandler] handleChatModelStart: ${context}`, {
+        functions,
+      });
+    }
+
+    const payload = { messages };
+    let prelimPromptTokens = 1;
+
+    if (functions) {
+      payload.functions = functions;
+      prelimPromptTokens += 2;
+    }
+
+    if (function_call) {
+      payload.function_call = function_call;
+      prelimPromptTokens -= 5;
+    }
+
+    prelimPromptTokens += promptTokensEstimate(payload);
+    logger.debug('[createStartHandler]', {
+      prelimPromptTokens,
+      tokenBuffer,
+    });
+    prelimPromptTokens += tokenBuffer;
+
+    try {
+      const balance = await getBalanceConfig();
+      if (balance?.enabled && supportsBalanceCheck[EModelEndpoint.openAI]) {
+        const generations =
+          initialMessageCount && messages.length > initialMessageCount
+            ? messages.slice(initialMessageCount)
+            : null;
+        await checkBalance({
+          req: manager.req,
+          res: manager.res,
+          txData: {
+            user: manager.user,
+            tokenType: 'prompt',
+            amount: prelimPromptTokens,
+            debug: manager.debug,
+            generations,
+            model,
+            endpoint: EModelEndpoint.openAI,
+          },
+        });
+      }
+    } catch (err) {
+      logger.error(`[createStartHandler][${context}] checkBalance error`, err);
+      manager.abortController.abort();
+      if (context === 'summary' || context === 'plugins') {
+        manager.addRun(runId, { conversationId, error: err.message });
+        throw new Error(err);
+      }
+      return;
+    }
+
+    manager.addRun(runId, {
+      model,
+      messages,
+      functions,
+      function_call,
+      runId,
+      parentRunId,
+      conversationId,
+      prelimPromptTokens,
+    });
+  };
+};
+
+module.exports = createStartHandler;

api/app/clients/callbacks/index.js

@@ -0,0 +1,5 @@
+const createStartHandler = require('./createStartHandler');
+
+module.exports = {
+  createStartHandler,
+};

api/app/clients/chains/runTitleChain.js

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

api/app/clients/index.js

@@ -1,11 +1,15 @@
+const ChatGPTClient = require('./ChatGPTClient');
 const OpenAIClient = require('./OpenAIClient');
+const PluginsClient = require('./PluginsClient');
 const GoogleClient = require('./GoogleClient');
 const TextStream = require('./TextStream');
 const AnthropicClient = require('./AnthropicClient');
 const toolUtils = require('./tools/util');
 
 module.exports = {
+  ChatGPTClient,
   OpenAIClient,
+  PluginsClient,
   GoogleClient,
   TextStream,
   AnthropicClient,

api/app/clients/llm/RunManager.js

@@ -0,0 +1,105 @@
+const { createStartHandler } = require('~/app/clients/callbacks');
+const { spendTokens } = require('~/models/spendTokens');
+const { logger } = require('~/config');
+
+class RunManager {
+  constructor(fields) {
+    const { req, res, abortController, debug } = fields;
+    this.abortController = abortController;
+    this.user = req.user.id;
+    this.req = req;
+    this.res = res;
+    this.debug = debug;
+    this.runs = new Map();
+    this.convos = new Map();
+  }
+
+  addRun(runId, runData) {
+    if (!this.runs.has(runId)) {
+      this.runs.set(runId, runData);
+      if (runData.conversationId) {
+        this.convos.set(runData.conversationId, runId);
+      }
+      return runData;
+    } else {
+      const existingData = this.runs.get(runId);
+      const update = { ...existingData, ...runData };
+      this.runs.set(runId, update);
+      if (update.conversationId) {
+        this.convos.set(update.conversationId, runId);
+      }
+      return update;
+    }
+  }
+
+  removeRun(runId) {
+    if (this.runs.has(runId)) {
+      this.runs.delete(runId);
+    } else {
+      logger.error(`[api/app/clients/llm/RunManager] Run with ID ${runId} does not exist.`);
+    }
+  }
+
+  getAllRuns() {
+    return Array.from(this.runs.values());
+  }
+
+  getRunById(runId) {
+    return this.runs.get(runId);
+  }
+
+  getRunByConversationId(conversationId) {
+    const runId = this.convos.get(conversationId);
+    return { run: this.runs.get(runId), runId };
+  }
+
+  createCallbacks(metadata) {
+    return [
+      {
+        handleChatModelStart: createStartHandler({ ...metadata, manager: this }),
+        handleLLMEnd: async (output, runId, _parentRunId) => {
+          const { llmOutput, ..._output } = output;
+          logger.debug(`[RunManager] handleLLMEnd: ${JSON.stringify(metadata)}`, {
+            runId,
+            _parentRunId,
+            llmOutput,
+          });
+
+          if (metadata.context !== 'title') {
+            logger.debug('[RunManager] handleLLMEnd:', {
+              output: _output,
+            });
+          }
+
+          const { tokenUsage } = output.llmOutput;
+          const run = this.getRunById(runId);
+          this.removeRun(runId);
+
+          const txData = {
+            user: this.user,
+            model: run?.model ?? 'gpt-3.5-turbo',
+            ...metadata,
+          };
+
+          await spendTokens(txData, tokenUsage);
+        },
+        handleLLMError: async (err) => {
+          logger.error(`[RunManager] handleLLMError: ${JSON.stringify(metadata)}`, err);
+          if (metadata.context === 'title') {
+            return;
+          } else if (metadata.context === 'plugins') {
+            throw new Error(err);
+          }
+          const { conversationId } = metadata;
+          const { run } = this.getRunByConversationId(conversationId);
+          if (run && run.error) {
+            const { error } = run;
+            throw new Error(error);
+          }
+        },
+      },
+    ];
+  }
+}
+
+module.exports = RunManager;

api/app/clients/llm/createLLM.js

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

api/app/clients/llm/index.js

@@ -1,5 +1,9 @@
+const createLLM = require('./createLLM');
+const RunManager = require('./RunManager');
 const createCoherePayload = require('./createCoherePayload');
 
 module.exports = {
+  createLLM,
+  RunManager,
   createCoherePayload,
 };

api/app/clients/memory/example.js

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

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

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

api/app/clients/memory/summaryBuffer.js

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

api/app/clients/output_parsers/addImages.js

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

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

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

api/app/clients/output_parsers/handleOutputs.js

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

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

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

api/app/clients/prompts/artifacts.js

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

api/app/clients/prompts/createContextHandlers.js

@@ -1,6 +1,6 @@
 const axios = require('axios');
-const { logger } = require('@librechat/data-schemas');
-const { isEnabled, generateShortLivedToken } = require('@librechat/api');
+const { isEnabled } = require('~/server/utils');
+const { logger } = require('~/config');
 
 const footer = `Use the context as your learned knowledge to better answer the user.
 
@@ -18,7 +18,7 @@ function createContextHandlers(req, userMessageContent) {
   const queryPromises = [];
   const processedFiles = [];
   const processedIds = new Set();
-  const jwtToken = generateShortLivedToken(req.user.id);
+  const jwtToken = req.headers.authorization.split(' ')[1];
   const useFullContext = isEnabled(process.env.RAG_USE_FULL_CONTEXT);
 
   const query = async (file) => {
@@ -96,35 +96,35 @@ function createContextHandlers(req, userMessageContent) {
         resolvedQueries.length === 0
           ? '\n\tThe semantic search did not return any results.'
           : resolvedQueries
-              .map((queryResult, index) => {
-                const file = processedFiles[index];
-                let contextItems = queryResult.data;
+            .map((queryResult, index) => {
+              const file = processedFiles[index];
+              let contextItems = queryResult.data;
 
-                const generateContext = (currentContext) =>
-                  `
+              const generateContext = (currentContext) =>
+                `
           <file>
             <filename>${file.filename}</filename>
             <context>${currentContext}
             </context>
           </file>`;
 
-                if (useFullContext) {
-                  return generateContext(`\n${contextItems}`);
-                }
+              if (useFullContext) {
+                return generateContext(`\n${contextItems}`);
+              }
 
-                contextItems = queryResult.data
-                  .map((item) => {
-                    const pageContent = item[0].page_content;
-                    return `
+              contextItems = queryResult.data
+                .map((item) => {
+                  const pageContent = item[0].page_content;
+                  return `
             <contextItem>
               <![CDATA[${pageContent?.trim()}]]>
             </contextItem>`;
-                  })
-                  .join('');
+                })
+                .join('');
 
-                return generateContext(contextItems);
-              })
-              .join('');
+              return generateContext(contextItems);
+            })
+            .join('');
 
       if (useFullContext) {
         const prompt = `${header}

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

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

api/app/clients/prompts/formatMessages.js

@@ -237,9 +237,41 @@ const formatAgentMessages = (payload) => {
   return messages;
 };
 
+/**
+ * Formats an array of messages for LangChain, making sure all content fields are strings
+ * @param {Array<(HumanMessage|AIMessage|SystemMessage|ToolMessage)>} payload - The array of messages to format.
+ * @returns {Array<(HumanMessage|AIMessage|SystemMessage|ToolMessage)>} - The array of formatted LangChain messages, including ToolMessages for tool calls.
+ */
+const formatContentStrings = (payload) => {
+  const messages = [];
+
+  for (const message of payload) {
+    if (typeof message.content === 'string') {
+      continue;
+    }
+
+    if (!Array.isArray(message.content)) {
+      continue;
+    }
+
+    // Reduce text types to a single string, ignore all other types
+    const content = message.content.reduce((acc, curr) => {
+      if (curr.type === ContentTypes.TEXT) {
+        return `${acc}${curr[ContentTypes.TEXT]}\n`;
+      }
+      return acc;
+    }, '');
+
+    message.content = content.trim();
+  }
+
+  return messages;
+};
+
 module.exports = {
   formatMessage,
   formatFromLangChain,
   formatAgentMessages,
+  formatContentStrings,
   formatLangChainMessages,
 };

api/app/clients/prompts/instructions.js

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

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

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

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

@@ -245,7 +245,7 @@ describe('AnthropicClient', () => {
     });
 
     describe('Claude 4 model headers', () => {
-      it('should add "prompt-caching" and "context-1m" beta headers for claude-sonnet-4 model', () => {
+      it('should add "prompt-caching" beta header for claude-sonnet-4 model', () => {
         const client = new AnthropicClient('test-api-key');
         const modelOptions = {
           model: 'claude-sonnet-4-20250514',
@@ -255,30 +255,10 @@ describe('AnthropicClient', () => {
         expect(anthropicClient._options.defaultHeaders).toBeDefined();
         expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
         expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
-          'prompt-caching-2024-07-31,context-1m-2025-08-07',
+          'prompt-caching-2024-07-31',
         );
       });
 
-      it('should add "prompt-caching" and "context-1m" beta headers for claude-sonnet-4 model formats', () => {
-        const client = new AnthropicClient('test-api-key');
-        const modelVariations = [
-          'claude-sonnet-4-20250514',
-          'claude-sonnet-4-latest',
-          'anthropic/claude-sonnet-4-20250514',
-        ];
-
-        modelVariations.forEach((model) => {
-          const modelOptions = { model };
-          client.setOptions({ modelOptions, promptCache: true });
-          const anthropicClient = client.getClient(modelOptions);
-          expect(anthropicClient._options.defaultHeaders).toBeDefined();
-          expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
-          expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
-            'prompt-caching-2024-07-31,context-1m-2025-08-07',
-          );
-        });
-      });
-
       it('should add "prompt-caching" beta header for claude-opus-4 model', () => {
         const client = new AnthropicClient('test-api-key');
         const modelOptions = {
@@ -293,6 +273,20 @@ describe('AnthropicClient', () => {
         );
       });
 
+      it('should add "prompt-caching" beta header for claude-4-sonnet model', () => {
+        const client = new AnthropicClient('test-api-key');
+        const modelOptions = {
+          model: 'claude-4-sonnet-20250514',
+        };
+        client.setOptions({ modelOptions, promptCache: true });
+        const anthropicClient = client.getClient(modelOptions);
+        expect(anthropicClient._options.defaultHeaders).toBeDefined();
+        expect(anthropicClient._options.defaultHeaders).toHaveProperty('anthropic-beta');
+        expect(anthropicClient._options.defaultHeaders['anthropic-beta']).toBe(
+          'prompt-caching-2024-07-31',
+        );
+      });
+
       it('should add "prompt-caching" beta header for claude-4-opus model', () => {
         const client = new AnthropicClient('test-api-key');
         const modelOptions = {

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

@@ -2,14 +2,6 @@ const { Constants } = require('librechat-data-provider');
 const { initializeFakeClient } = require('./FakeClient');
 
 jest.mock('~/db/connect');
-jest.mock('~/server/services/Config', () => ({
-  getAppConfig: jest.fn().mockResolvedValue({
-    // Default app config for tests
-    paths: { uploads: '/tmp' },
-    fileStrategy: 'local',
-    memory: { disabled: false },
-  }),
-}));
 jest.mock('~/models', () => ({
   User: jest.fn(),
   Key: jest.fn(),
@@ -430,46 +422,6 @@ describe('BaseClient', () => {
       expect(response).toEqual(expectedResult);
     });
 
-    test('should replace responseMessageId with new UUID when isRegenerate is true and messageId ends with underscore', async () => {
-      const mockCrypto = require('crypto');
-      const newUUID = 'new-uuid-1234';
-      jest.spyOn(mockCrypto, 'randomUUID').mockReturnValue(newUUID);
-
-      const opts = {
-        isRegenerate: true,
-        responseMessageId: 'existing-message-id_',
-      };
-
-      await TestClient.setMessageOptions(opts);
-
-      expect(TestClient.responseMessageId).toBe(newUUID);
-      expect(TestClient.responseMessageId).not.toBe('existing-message-id_');
-
-      mockCrypto.randomUUID.mockRestore();
-    });
-
-    test('should not replace responseMessageId when isRegenerate is false', async () => {
-      const opts = {
-        isRegenerate: false,
-        responseMessageId: 'existing-message-id_',
-      };
-
-      await TestClient.setMessageOptions(opts);
-
-      expect(TestClient.responseMessageId).toBe('existing-message-id_');
-    });
-
-    test('should not replace responseMessageId when it does not end with underscore', async () => {
-      const opts = {
-        isRegenerate: true,
-        responseMessageId: 'existing-message-id',
-      };
-
-      await TestClient.setMessageOptions(opts);
-
-      expect(TestClient.responseMessageId).toBe('existing-message-id');
-    });
-
     test('sendMessage should work with provided conversationId and parentMessageId', async () => {
       const userMessage = 'Second message in the conversation';
       const opts = {
@@ -587,8 +539,6 @@ describe('BaseClient', () => {
       expect(onStart).toHaveBeenCalledWith(
         expect.objectContaining({ text: 'Hello, world!' }),
         expect.any(String),
-        /** `isNewConvo` */
-        true,
       );
     });
 

api/app/clients/specs/FakeClient.js

@@ -1,5 +1,5 @@
-const { getModelMaxTokens } = require('@librechat/api');
 const BaseClient = require('../BaseClient');
+const { getModelMaxTokens } = require('../../../utils');
 
 class FakeClient extends BaseClient {
   constructor(apiKey, options = {}) {

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

@@ -531,6 +531,44 @@ describe('OpenAIClient', () => {
     });
   });
 
+  describe('sendMessage/getCompletion/chatCompletion', () => {
+    afterEach(() => {
+      delete process.env.AZURE_OPENAI_DEFAULT_MODEL;
+      delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
+    });
+
+    it('should call getCompletion and fetchEventSource when using a text/instruct model', async () => {
+      const model = 'text-davinci-003';
+      const onProgress = jest.fn().mockImplementation(() => ({}));
+
+      const testClient = new OpenAIClient('test-api-key', {
+        ...defaultOptions,
+        modelOptions: { model },
+      });
+
+      const getCompletion = jest.spyOn(testClient, 'getCompletion');
+      await testClient.sendMessage('Hi mom!', { onProgress });
+
+      expect(getCompletion).toHaveBeenCalled();
+      expect(getCompletion.mock.calls.length).toBe(1);
+
+      expect(getCompletion.mock.calls[0][0]).toBe('||>User:\nHi mom!\n||>Assistant:\n');
+
+      expect(fetchEventSource).toHaveBeenCalled();
+      expect(fetchEventSource.mock.calls.length).toBe(1);
+
+      // Check if the first argument (url) is correct
+      const firstCallArgs = fetchEventSource.mock.calls[0];
+
+      const expectedURL = 'https://api.openai.com/v1/completions';
+      expect(firstCallArgs[0]).toBe(expectedURL);
+
+      const requestBody = JSON.parse(firstCallArgs[1].body);
+      expect(requestBody).toHaveProperty('model');
+      expect(requestBody.model).toBe(model);
+    });
+  });
+
   describe('checkVisionRequest functionality', () => {
     let client;
     const attachments = [{ type: 'image/png' }];

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

@@ -0,0 +1,314 @@
+const crypto = require('crypto');
+const { Constants } = require('librechat-data-provider');
+const { HumanMessage, AIMessage } = require('@langchain/core/messages');
+const PluginsClient = require('../PluginsClient');
+
+jest.mock('~/db/connect');
+jest.mock('~/models/Conversation', () => {
+  return function () {
+    return {
+      save: jest.fn(),
+      deleteConvos: jest.fn(),
+    };
+  };
+});
+
+const defaultAzureOptions = {
+  azureOpenAIApiInstanceName: 'your-instance-name',
+  azureOpenAIApiDeploymentName: 'your-deployment-name',
+  azureOpenAIApiVersion: '2020-07-01-preview',
+};
+
+describe('PluginsClient', () => {
+  let TestAgent;
+  let options = {
+    tools: [],
+    modelOptions: {
+      model: 'gpt-3.5-turbo',
+      temperature: 0,
+      max_tokens: 2,
+    },
+    agentOptions: {
+      model: 'gpt-3.5-turbo',
+    },
+  };
+  let parentMessageId;
+  let conversationId;
+  const fakeMessages = [];
+  const userMessage = 'Hello, ChatGPT!';
+  const apiKey = 'fake-api-key';
+
+  beforeEach(() => {
+    TestAgent = new PluginsClient(apiKey, options);
+    TestAgent.loadHistory = jest
+      .fn()
+      .mockImplementation((conversationId, parentMessageId = null) => {
+        if (!conversationId) {
+          TestAgent.currentMessages = [];
+          return Promise.resolve([]);
+        }
+
+        const orderedMessages = TestAgent.constructor.getMessagesForConversation({
+          messages: fakeMessages,
+          parentMessageId,
+        });
+
+        const chatMessages = orderedMessages.map((msg) =>
+          msg?.isCreatedByUser || msg?.role?.toLowerCase() === 'user'
+            ? new HumanMessage(msg.text)
+            : new AIMessage(msg.text),
+        );
+
+        TestAgent.currentMessages = orderedMessages;
+        return Promise.resolve(chatMessages);
+      });
+    TestAgent.sendMessage = jest.fn().mockImplementation(async (message, opts = {}) => {
+      if (opts && typeof opts === 'object') {
+        TestAgent.setOptions(opts);
+      }
+      const conversationId = opts.conversationId || crypto.randomUUID();
+      const parentMessageId = opts.parentMessageId || Constants.NO_PARENT;
+      const userMessageId = opts.overrideParentMessageId || crypto.randomUUID();
+      this.pastMessages = await TestAgent.loadHistory(
+        conversationId,
+        TestAgent.options?.parentMessageId,
+      );
+
+      const userMessage = {
+        text: message,
+        sender: 'ChatGPT',
+        isCreatedByUser: true,
+        messageId: userMessageId,
+        parentMessageId,
+        conversationId,
+      };
+
+      const response = {
+        sender: 'ChatGPT',
+        text: 'Hello, User!',
+        isCreatedByUser: false,
+        messageId: crypto.randomUUID(),
+        parentMessageId: userMessage.messageId,
+        conversationId,
+      };
+
+      fakeMessages.push(userMessage);
+      fakeMessages.push(response);
+      return response;
+    });
+  });
+
+  test('initializes PluginsClient without crashing', () => {
+    expect(TestAgent).toBeInstanceOf(PluginsClient);
+  });
+
+  test('check setOptions function', () => {
+    expect(TestAgent.agentIsGpt3).toBe(true);
+  });
+
+  describe('sendMessage', () => {
+    test('sendMessage should return a response message', async () => {
+      const expectedResult = expect.objectContaining({
+        sender: 'ChatGPT',
+        text: expect.any(String),
+        isCreatedByUser: false,
+        messageId: expect.any(String),
+        parentMessageId: expect.any(String),
+        conversationId: expect.any(String),
+      });
+
+      const response = await TestAgent.sendMessage(userMessage);
+      parentMessageId = response.messageId;
+      conversationId = response.conversationId;
+      expect(response).toEqual(expectedResult);
+    });
+
+    test('sendMessage should work with provided conversationId and parentMessageId', async () => {
+      const userMessage = 'Second message in the conversation';
+      const opts = {
+        conversationId,
+        parentMessageId,
+      };
+
+      const expectedResult = expect.objectContaining({
+        sender: 'ChatGPT',
+        text: expect.any(String),
+        isCreatedByUser: false,
+        messageId: expect.any(String),
+        parentMessageId: expect.any(String),
+        conversationId: opts.conversationId,
+      });
+
+      const response = await TestAgent.sendMessage(userMessage, opts);
+      parentMessageId = response.messageId;
+      expect(response.conversationId).toEqual(conversationId);
+      expect(response).toEqual(expectedResult);
+    });
+
+    test('should return chat history', async () => {
+      const chatMessages = await TestAgent.loadHistory(conversationId, parentMessageId);
+      expect(TestAgent.currentMessages).toHaveLength(4);
+      expect(chatMessages[0].text).toEqual(userMessage);
+    });
+  });
+
+  describe('getFunctionModelName', () => {
+    let client;
+
+    beforeEach(() => {
+      client = new PluginsClient('dummy_api_key');
+    });
+
+    test('should return the input when it includes a dash followed by four digits', () => {
+      expect(client.getFunctionModelName('-1234')).toBe('-1234');
+      expect(client.getFunctionModelName('gpt-4-5678-preview')).toBe('gpt-4-5678-preview');
+    });
+
+    test('should return the input for all function-capable models (`0613` models and above)', () => {
+      expect(client.getFunctionModelName('gpt-4-0613')).toBe('gpt-4-0613');
+      expect(client.getFunctionModelName('gpt-4-32k-0613')).toBe('gpt-4-32k-0613');
+      expect(client.getFunctionModelName('gpt-3.5-turbo-0613')).toBe('gpt-3.5-turbo-0613');
+      expect(client.getFunctionModelName('gpt-3.5-turbo-16k-0613')).toBe('gpt-3.5-turbo-16k-0613');
+      expect(client.getFunctionModelName('gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
+      expect(client.getFunctionModelName('gpt-4-1106-preview')).toBe('gpt-4-1106-preview');
+      expect(client.getFunctionModelName('gpt-4-1106')).toBe('gpt-4-1106');
+    });
+
+    test('should return the corresponding model if input is non-function capable (`0314` models)', () => {
+      expect(client.getFunctionModelName('gpt-4-0314')).toBe('gpt-4');
+      expect(client.getFunctionModelName('gpt-4-32k-0314')).toBe('gpt-4');
+      expect(client.getFunctionModelName('gpt-3.5-turbo-0314')).toBe('gpt-3.5-turbo');
+      expect(client.getFunctionModelName('gpt-3.5-turbo-16k-0314')).toBe('gpt-3.5-turbo');
+    });
+
+    test('should return "gpt-3.5-turbo" when the input includes "gpt-3.5-turbo"', () => {
+      expect(client.getFunctionModelName('test gpt-3.5-turbo model')).toBe('gpt-3.5-turbo');
+    });
+
+    test('should return "gpt-4" when the input includes "gpt-4"', () => {
+      expect(client.getFunctionModelName('testing gpt-4')).toBe('gpt-4');
+    });
+
+    test('should return "gpt-3.5-turbo" for input that does not meet any specific condition', () => {
+      expect(client.getFunctionModelName('random string')).toBe('gpt-3.5-turbo');
+      expect(client.getFunctionModelName('')).toBe('gpt-3.5-turbo');
+    });
+  });
+
+  describe('Azure OpenAI tests specific to Plugins', () => {
+    // TODO: add more tests for Azure OpenAI integration with Plugins
+    // let client;
+    // beforeEach(() => {
+    //   client = new PluginsClient('dummy_api_key');
+    // });
+
+    test('should not call getFunctionModelName when azure options are set', () => {
+      const spy = jest.spyOn(PluginsClient.prototype, 'getFunctionModelName');
+      const model = 'gpt-4-turbo';
+
+      // note, without the azure change in PR #1766, `getFunctionModelName` is called twice
+      const testClient = new PluginsClient('dummy_api_key', {
+        agentOptions: {
+          model,
+          agent: 'functions',
+        },
+        azure: defaultAzureOptions,
+      });
+
+      expect(spy).not.toHaveBeenCalled();
+      expect(testClient.agentOptions.model).toBe(model);
+
+      spy.mockRestore();
+    });
+  });
+
+  describe('sendMessage with filtered tools', () => {
+    let TestAgent;
+    const apiKey = 'fake-api-key';
+    const mockTools = [{ name: 'tool1' }, { name: 'tool2' }, { name: 'tool3' }, { name: 'tool4' }];
+
+    beforeEach(() => {
+      TestAgent = new PluginsClient(apiKey, {
+        tools: mockTools,
+        modelOptions: {
+          model: 'gpt-3.5-turbo',
+          temperature: 0,
+          max_tokens: 2,
+        },
+        agentOptions: {
+          model: 'gpt-3.5-turbo',
+        },
+      });
+
+      TestAgent.options.req = {
+        app: {
+          locals: {},
+        },
+      };
+
+      TestAgent.sendMessage = jest.fn().mockImplementation(async () => {
+        const { filteredTools = [], includedTools = [] } = TestAgent.options.req.app.locals;
+
+        if (includedTools.length > 0) {
+          const tools = TestAgent.options.tools.filter((plugin) =>
+            includedTools.includes(plugin.name),
+          );
+          TestAgent.options.tools = tools;
+        } else {
+          const tools = TestAgent.options.tools.filter(
+            (plugin) => !filteredTools.includes(plugin.name),
+          );
+          TestAgent.options.tools = tools;
+        }
+
+        return {
+          text: 'Mocked response',
+          tools: TestAgent.options.tools,
+        };
+      });
+    });
+
+    test('should filter out tools when filteredTools is provided', async () => {
+      TestAgent.options.req.app.locals.filteredTools = ['tool1', 'tool3'];
+      const response = await TestAgent.sendMessage('Test message');
+      expect(response.tools).toHaveLength(2);
+      expect(response.tools).toEqual(
+        expect.arrayContaining([
+          expect.objectContaining({ name: 'tool2' }),
+          expect.objectContaining({ name: 'tool4' }),
+        ]),
+      );
+    });
+
+    test('should only include specified tools when includedTools is provided', async () => {
+      TestAgent.options.req.app.locals.includedTools = ['tool2', 'tool4'];
+      const response = await TestAgent.sendMessage('Test message');
+      expect(response.tools).toHaveLength(2);
+      expect(response.tools).toEqual(
+        expect.arrayContaining([
+          expect.objectContaining({ name: 'tool2' }),
+          expect.objectContaining({ name: 'tool4' }),
+        ]),
+      );
+    });
+
+    test('should prioritize includedTools over filteredTools', async () => {
+      TestAgent.options.req.app.locals.filteredTools = ['tool1', 'tool3'];
+      TestAgent.options.req.app.locals.includedTools = ['tool1', 'tool2'];
+      const response = await TestAgent.sendMessage('Test message');
+      expect(response.tools).toHaveLength(2);
+      expect(response.tools).toEqual(
+        expect.arrayContaining([
+          expect.objectContaining({ name: 'tool1' }),
+          expect.objectContaining({ name: 'tool2' }),
+        ]),
+      );
+    });
+
+    test('should not modify tools when no filters are provided', async () => {
+      const response = await TestAgent.sendMessage('Test message');
+      expect(response.tools).toHaveLength(4);
+      expect(response.tools).toEqual(expect.arrayContaining(mockTools));
+    });
+  });
+});

api/app/clients/tools/index.js

@@ -1,4 +1,4 @@
-const manifest = require('./manifest');
+const availableTools = require('./manifest.json');
 
 // Structured Tools
 const DALLE3 = require('./structured/DALLE3');
@@ -13,8 +13,23 @@ const TraversaalSearch = require('./structured/TraversaalSearch');
 const createOpenAIImageTools = require('./structured/OpenAIImageTools');
 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 = {
-  ...manifest,
+  toolkits,
+  availableTools,
+  manifestToolMap,
   // Structured Tools
   DALLE3,
   FluxAPI,

api/app/clients/tools/manifest.js

@@ -1,20 +0,0 @@
-const availableTools = require('./manifest.json');
-
-/** @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,
-};

api/app/clients/tools/manifest.json

@@ -49,7 +49,7 @@
     "pluginKey": "image_gen_oai",
     "toolkit": true,
     "description": "Image Generation and Editing using OpenAI's latest state-of-the-art models",
-    "icon": "assets/image_gen_oai.png",
+    "icon": "/assets/image_gen_oai.png",
     "authConfig": [
       {
         "authField": "IMAGE_GEN_OAI_API_KEY",
@@ -75,7 +75,7 @@
     "name": "Browser",
     "pluginKey": "web-browser",
     "description": "Scrape and summarize webpage data",
-    "icon": "assets/web-browser.svg",
+    "icon": "/assets/web-browser.svg",
     "authConfig": [
       {
         "authField": "OPENAI_API_KEY",
@@ -170,7 +170,7 @@
     "name": "OpenWeather",
     "pluginKey": "open_weather",
     "description": "Get weather forecasts and historical data from the OpenWeather API",
-    "icon": "assets/openweather.png",
+    "icon": "/assets/openweather.png",
     "authConfig": [
       {
         "authField": "OPENWEATHER_API_KEY",

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

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

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

@@ -1,13 +1,14 @@
 const { z } = require('zod');
 const path = require('path');
 const OpenAI = require('openai');
+const fetch = require('node-fetch');
 const { v4: uuidv4 } = require('uuid');
-const { ProxyAgent, fetch } = require('undici');
 const { Tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { getImageBasename } = require('@librechat/api');
+const { HttpsProxyAgent } = require('https-proxy-agent');
 const { FileContext, ContentTypes } = require('librechat-data-provider');
+const { getImageBasename } = require('~/server/services/Files/images');
 const extractBaseURL = require('~/utils/extractBaseURL');
+const logger = require('~/config/winston');
 
 const displayMessage =
   "DALL-E displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
@@ -45,10 +46,7 @@ class DALLE3 extends Tool {
     }
 
     if (process.env.PROXY) {
-      const proxyAgent = new ProxyAgent(process.env.PROXY);
-      config.fetchOptions = {
-        dispatcher: proxyAgent,
-      };
+      config.httpAgent = new HttpsProxyAgent(process.env.PROXY);
     }
 
     /** @type {OpenAI} */
@@ -165,8 +163,7 @@ Error Message: ${error.message}`);
     if (this.isAgent) {
       let fetchOptions = {};
       if (process.env.PROXY) {
-        const proxyAgent = new ProxyAgent(process.env.PROXY);
-        fetchOptions.dispatcher = proxyAgent;
+        fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
       }
       const imageResponse = await fetch(theImageUrl, fetchOptions);
       const arrayBuffer = await imageResponse.arrayBuffer();

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

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

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

@@ -1,16 +1,69 @@
+const { z } = require('zod');
 const axios = require('axios');
 const { v4 } = require('uuid');
 const OpenAI = require('openai');
 const FormData = require('form-data');
-const { ProxyAgent } = require('undici');
 const { tool } = require('@langchain/core/tools');
+const { logAxiosError } = require('@librechat/api');
 const { logger } = require('@librechat/data-schemas');
-const { logAxiosError, oaiToolkit } = require('@librechat/api');
+const { HttpsProxyAgent } = require('https-proxy-agent');
 const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
 const { getStrategyFunctions } = require('~/server/services/Files/strategies');
-const extractBaseURL = require('~/utils/extractBaseURL');
+const { extractBaseURL } = require('~/utils');
 const { getFiles } = require('~/models/File');
 
+/** Default descriptions for image generation tool  */
+const DEFAULT_IMAGE_GEN_DESCRIPTION = `
+Generates high-quality, original images based solely on text, not using any uploaded reference images.
+
+When to use \`image_gen_oai\`:
+- To create entirely new images from detailed text descriptions that do NOT reference any image files.
+
+When NOT to use \`image_gen_oai\`:
+- If the user has uploaded any images and requests modifications, enhancements, or remixing based on those uploads → use \`image_edit_oai\` instead.
+
+Generated image IDs will be returned in the response, so you can refer to them in future requests made to \`image_edit_oai\`.
+`.trim();
+
+/** Default description for image editing tool  */
+const DEFAULT_IMAGE_EDIT_DESCRIPTION =
+  `Generates high-quality, original images based on text and one or more uploaded/referenced images.
+
+When to use \`image_edit_oai\`:
+- The user wants to modify, extend, or remix one **or more** uploaded images, either:
+- Previously generated, or in the current request (both to be included in the \`image_ids\` array).
+- Always when the user refers to uploaded images for editing, enhancement, remixing, style transfer, or combining elements.
+- Any current or existing images are to be used as visual guides.
+- If there are any files in the current request, they are more likely than not expected as references for image edit requests.
+
+When NOT to use \`image_edit_oai\`:
+- Brand-new generations that do not rely on an existing image → use \`image_gen_oai\` instead.
+
+Both generated and referenced image IDs will be returned in the response, so you can refer to them in future requests made to \`image_edit_oai\`.
+`.trim();
+
+/** Default prompt descriptions  */
+const DEFAULT_IMAGE_GEN_PROMPT_DESCRIPTION = `Describe the image you want in detail. 
+      Be highly specific—break your idea into layers: 
+      (1) main concept and subject,
+      (2) composition and position,
+      (3) lighting and mood,
+      (4) style, medium, or camera details,
+      (5) important features (age, expression, clothing, etc.),
+      (6) background.
+      Use positive, descriptive language and specify what should be included, not what to avoid. 
+      List number and characteristics of people/objects, and mention style/technical requirements (e.g., "DSLR photo, 85mm lens, golden hour").
+      Do not reference any uploaded images—use for new image creation from text only.`;
+
+const DEFAULT_IMAGE_EDIT_PROMPT_DESCRIPTION = `Describe the changes, enhancements, or new ideas to apply to the uploaded image(s).
+      Be highly specific—break your request into layers: 
+      (1) main concept or transformation,
+      (2) specific edits/replacements or composition guidance,
+      (3) desired style, mood, or technique,
+      (4) features/items to keep, change, or add (such as objects, people, clothing, lighting, etc.).
+      Use positive, descriptive language and clarify what should be included or changed, not what to avoid.
+      Always base this prompt on the most recently uploaded reference images.`;
+
 const displayMessage =
   "The tool 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.";
 
@@ -38,11 +91,21 @@ function returnValue(value) {
   return value;
 }
 
-function createAbortHandler() {
-  return function () {
-    logger.debug('[ImageGenOAI] Image generation aborted');
-  };
-}
+const getImageGenDescription = () => {
+  return process.env.IMAGE_GEN_OAI_DESCRIPTION || DEFAULT_IMAGE_GEN_DESCRIPTION;
+};
+
+const getImageEditDescription = () => {
+  return process.env.IMAGE_EDIT_OAI_DESCRIPTION || DEFAULT_IMAGE_EDIT_DESCRIPTION;
+};
+
+const getImageGenPromptDescription = () => {
+  return process.env.IMAGE_GEN_OAI_PROMPT_DESCRIPTION || DEFAULT_IMAGE_GEN_PROMPT_DESCRIPTION;
+};
+
+const getImageEditPromptDescription = () => {
+  return process.env.IMAGE_EDIT_OAI_PROMPT_DESCRIPTION || DEFAULT_IMAGE_EDIT_PROMPT_DESCRIPTION;
+};
 
 /**
  * Creates OpenAI Image tools (generation and editing)
@@ -52,9 +115,7 @@ function createAbortHandler() {
  * @param {string} fields.IMAGE_GEN_OAI_API_KEY - The OpenAI API key
  * @param {boolean} [fields.override] - Whether to override the API key check, necessary for app initialization
  * @param {MongoFile[]} [fields.imageFiles] - The images to be used for editing
- * @param {string} [fields.imageOutputType] - The image output type configuration
- * @param {string} [fields.fileStrategy] - The file storage strategy
- * @returns {Array<ReturnType<tool>>} - Array of image tools
+ * @returns {Array} - Array of image tools
  */
 function createOpenAIImageTools(fields = {}) {
   /** @type {boolean} Used to initialize the Tool without necessary variables. */
@@ -64,8 +125,8 @@ function createOpenAIImageTools(fields = {}) {
     throw new Error('This tool is only available for agents.');
   }
   const { req } = fields;
-  const imageOutputType = fields.imageOutputType || EImageOutputType.PNG;
-  const appFileStrategy = fields.fileStrategy;
+  const imageOutputType = req?.app.locals.imageOutputType || EImageOutputType.PNG;
+  const appFileStrategy = req?.app.locals.fileStrategy;
 
   const getApiKey = () => {
     const apiKey = process.env.IMAGE_GEN_OAI_API_KEY ?? '';
@@ -122,10 +183,7 @@ function createOpenAIImageTools(fields = {}) {
       }
       const clientConfig = { ...closureConfig };
       if (process.env.PROXY) {
-        const proxyAgent = new ProxyAgent(process.env.PROXY);
-        clientConfig.fetchOptions = {
-          dispatcher: proxyAgent,
-        };
+        clientConfig.httpAgent = new HttpsProxyAgent(process.env.PROXY);
       }
 
       /** @type {OpenAI} */
@@ -143,18 +201,10 @@ function createOpenAIImageTools(fields = {}) {
       }
 
       let resp;
-      /** @type {AbortSignal} */
-      let derivedSignal = null;
-      /** @type {() => void} */
-      let abortHandler = null;
-
       try {
-        if (runnableConfig?.signal) {
-          derivedSignal = AbortSignal.any([runnableConfig.signal]);
-          abortHandler = createAbortHandler();
-          derivedSignal.addEventListener('abort', abortHandler, { once: true });
-        }
-
+        const derivedSignal = runnableConfig?.signal
+          ? AbortSignal.any([runnableConfig.signal])
+          : undefined;
         resp = await openai.images.generate(
           {
             model: 'gpt-image-1',
@@ -178,10 +228,6 @@ function createOpenAIImageTools(fields = {}) {
         logAxiosError({ error, message });
         return returnValue(`Something went wrong when trying to generate the image. The OpenAI API may be unavailable:
 Error Message: ${error.message}`);
-      } finally {
-        if (abortHandler && derivedSignal) {
-          derivedSignal.removeEventListener('abort', abortHandler);
-        }
       }
 
       if (!resp) {
@@ -218,7 +264,46 @@ Error Message: ${error.message}`);
       ];
       return [response, { content, file_ids }];
     },
-    oaiToolkit.image_gen_oai,
+    {
+      name: 'image_gen_oai',
+      description: getImageGenDescription(),
+      schema: z.object({
+        prompt: z.string().max(32000).describe(getImageGenPromptDescription()),
+        background: z
+          .enum(['transparent', 'opaque', 'auto'])
+          .optional()
+          .describe(
+            'Sets transparency for the background. Must be one of transparent, opaque or auto (default). When transparent, the output format should be png or webp.',
+          ),
+        /*
+        n: z
+          .number()
+          .int()
+          .min(1)
+          .max(10)
+          .optional()
+          .describe('The number of images to generate. Must be between 1 and 10.'),
+        output_compression: z
+          .number()
+          .int()
+          .min(0)
+          .max(100)
+          .optional()
+          .describe('The compression level (0-100%) for webp or jpeg formats. Defaults to 100.'),
+           */
+        quality: z
+          .enum(['auto', 'high', 'medium', 'low'])
+          .optional()
+          .describe('The quality of the image. One of auto (default), high, medium, or low.'),
+        size: z
+          .enum(['auto', '1024x1024', '1536x1024', '1024x1536'])
+          .optional()
+          .describe(
+            'The size of the generated image. One of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default).',
+          ),
+      }),
+      responseFormat: 'content_and_artifact',
+    },
   );
 
   /**
@@ -232,10 +317,7 @@ Error Message: ${error.message}`);
 
       const clientConfig = { ...closureConfig };
       if (process.env.PROXY) {
-        const proxyAgent = new ProxyAgent(process.env.PROXY);
-        clientConfig.fetchOptions = {
-          dispatcher: proxyAgent,
-        };
+        clientConfig.httpAgent = new HttpsProxyAgent(process.env.PROXY);
       }
 
       const formData = new FormData();
@@ -327,17 +409,10 @@ Error Message: ${error.message}`);
         headers['Authorization'] = `Bearer ${apiKey}`;
       }
 
-      /** @type {AbortSignal} */
-      let derivedSignal = null;
-      /** @type {() => void} */
-      let abortHandler = null;
-
       try {
-        if (runnableConfig?.signal) {
-          derivedSignal = AbortSignal.any([runnableConfig.signal]);
-          abortHandler = createAbortHandler();
-          derivedSignal.addEventListener('abort', abortHandler, { once: true });
-        }
+        const derivedSignal = runnableConfig?.signal
+          ? AbortSignal.any([runnableConfig.signal])
+          : undefined;
 
         /** @type {import('axios').AxiosRequestConfig} */
         const axiosConfig = {
@@ -347,19 +422,6 @@ Error Message: ${error.message}`);
           baseURL,
         };
 
-        if (process.env.PROXY) {
-          try {
-            const url = new URL(process.env.PROXY);
-            axiosConfig.proxy = {
-              host: url.hostname.replace(/^\[|\]$/g, ''),
-              port: url.port ? parseInt(url.port, 10) : undefined,
-              protocol: url.protocol.replace(':', ''),
-            };
-          } catch (error) {
-            logger.error('Error parsing proxy URL:', error);
-          }
-        }
-
         if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
           axiosConfig.params = {
             'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION,
@@ -405,13 +467,50 @@ Error Message: ${error.message}`);
         logAxiosError({ error, message });
         return returnValue(`Something went wrong when trying to edit the image. The OpenAI API may be unavailable:
 Error Message: ${error.message || 'Unknown error'}`);
-      } finally {
-        if (abortHandler && derivedSignal) {
-          derivedSignal.removeEventListener('abort', abortHandler);
-        }
       }
     },
-    oaiToolkit.image_edit_oai,
+    {
+      name: 'image_edit_oai',
+      description: getImageEditDescription(),
+      schema: z.object({
+        image_ids: z
+          .array(z.string())
+          .min(1)
+          .describe(
+            `
+IDs (image ID strings) of previously generated or uploaded images that should guide the edit.
+
+Guidelines:
+- If the user's request depends on any prior image(s), copy their image IDs into the \`image_ids\` array (in the same order the user refers to them).  
+- Never invent or hallucinate IDs; only use IDs that are still visible in the conversation context.
+- If no earlier image is relevant, omit the field entirely.
+`.trim(),
+          ),
+        prompt: z.string().max(32000).describe(getImageEditPromptDescription()),
+        /*
+        n: z
+          .number()
+          .int()
+          .min(1)
+          .max(10)
+          .optional()
+          .describe('The number of images to generate. Must be between 1 and 10. Defaults to 1.'),
+        */
+        quality: z
+          .enum(['auto', 'high', 'medium', 'low'])
+          .optional()
+          .describe(
+            'The quality of the image. One of auto (default), high, medium, or low. High/medium/low only supported for gpt-image-1.',
+          ),
+        size: z
+          .enum(['auto', '1024x1024', '1536x1024', '1024x1536', '256x256', '512x512'])
+          .optional()
+          .describe(
+            'The size of the generated images. For gpt-image-1: auto (default), 1024x1024, 1536x1024, 1024x1536. For dall-e-2: 256x256, 512x512, 1024x1024.',
+          ),
+      }),
+      responseFormat: 'content_and_artifact',
+    },
   );
 
   return [imageGenTool, imageEditTool];

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

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

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

@@ -6,19 +6,19 @@ const axios = require('axios');
 const sharp = require('sharp');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
 const { FileContext, ContentTypes } = require('librechat-data-provider');
 const paths = require('~/config/paths');
+const { logger } = require('~/config');
 
 const displayMessage =
-  "Stable Diffusion displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
+  'Stable Diffusion displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.';
 
 class StableDiffusionAPI extends Tool {
   constructor(fields) {
     super();
     /** @type {string} User ID */
     this.userId = fields.userId;
-    /** @type {ServerRequest | undefined} Express Request object, only provided by ToolService */
+    /** @type {Express.Request | undefined} Express Request object, only provided by ToolService */
     this.req = fields.req;
     /** @type {boolean} Used to initialize the Tool without necessary variables. */
     this.override = fields.override ?? false;
@@ -44,7 +44,7 @@ class StableDiffusionAPI extends Tool {
 // "negative_prompt":"semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, out of frame, low quality, ugly, mutation, deformed"
 // - Generate images only once per human query unless explicitly requested by the user`;
     this.description =
-      "You can generate images using text with 'stable-diffusion'. This tool is exclusively for visual content.";
+      'You can generate images using text with \'stable-diffusion\'. This tool is exclusively for visual content.';
     this.schema = z.object({
       prompt: z
         .string()

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

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

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

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

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

@@ -1,9 +1,9 @@
-const { ytToolkit } = require('@librechat/api');
+const { z } = require('zod');
 const { tool } = require('@langchain/core/tools');
 const { youtube } = require('@googleapis/youtube');
-const { logger } = require('@librechat/data-schemas');
 const { YoutubeTranscript } = require('youtube-transcript');
 const { getApiKey } = require('./credentials');
+const { logger } = require('~/config');
 
 function extractVideoId(url) {
   const rawIdRegex = /^[a-zA-Z0-9_-]{11}$/;
@@ -29,7 +29,7 @@ function parseTranscript(transcriptResponse) {
     .map((entry) => entry.text.trim())
     .filter((text) => text)
     .join(' ')
-    .replaceAll(''', "'");
+    .replaceAll(''', '\'');
 }
 
 function createYouTubeTools(fields = {}) {
@@ -42,94 +42,160 @@ function createYouTubeTools(fields = {}) {
     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=${item.id.videoId}`,
-    }));
-    return JSON.stringify(result, null, 2);
-  }, ytToolkit.youtube_search);
+  const searchTool = tool(
+    async ({ query, maxResults = 5 }) => {
+      const response = await youtubeClient.search.list({
+        part: 'snippet',
+        q: query,
+        type: 'video',
+        maxResults: maxResults || 5,
+      });
+      const result = response.data.items.map((item) => ({
+        title: item.snippet.title,
+        description: item.snippet.description,
+        url: `https://www.youtube.com/watch?v=${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 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,
-    });
+      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];
+      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);
-  }, ytToolkit.youtube_info);
+      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 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 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);
-  }, ytToolkit.youtube_comments);
+      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);
+  const transcriptTool = tool(
+    async ({ url }) => {
+      const videoId = extractVideoId(url);
+      if (!videoId) {
+        throw new Error('Invalid YouTube URL or video ID');
       }
 
       try {
-        const transcript = await YoutubeTranscript.fetchTranscript(videoId, { lang: 'de' });
-        return parseTranscript(transcript);
-      } catch (e) {
-        logger.error(e);
-      }
+        try {
+          const transcript = await YoutubeTranscript.fetchTranscript(videoId, { lang: 'en' });
+          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}`);
-    }
-  }, ytToolkit.youtube_transcript);
+        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];
 }

api/app/clients/tools/structured/specs/DALLE3-proxy.spec.js

@@ -1,60 +0,0 @@
-const DALLE3 = require('../DALLE3');
-const { ProxyAgent } = require('undici');
-
-jest.mock('tiktoken');
-const processFileURL = jest.fn();
-
-describe('DALLE3 Proxy Configuration', () => {
-  let originalEnv;
-
-  beforeAll(() => {
-    originalEnv = { ...process.env };
-  });
-
-  beforeEach(() => {
-    jest.resetModules();
-    process.env = { ...originalEnv };
-  });
-
-  afterEach(() => {
-    process.env = originalEnv;
-  });
-
-  it('should configure ProxyAgent in fetchOptions.dispatcher when PROXY env is set', () => {
-    // Set proxy environment variable
-    process.env.PROXY = 'http://proxy.example.com:8080';
-    process.env.DALLE_API_KEY = 'test-api-key';
-
-    // Create instance
-    const dalleWithProxy = new DALLE3({ processFileURL });
-
-    // Check that the openai client exists
-    expect(dalleWithProxy.openai).toBeDefined();
-
-    // Check that _options exists and has fetchOptions with a dispatcher
-    expect(dalleWithProxy.openai._options).toBeDefined();
-    expect(dalleWithProxy.openai._options.fetchOptions).toBeDefined();
-    expect(dalleWithProxy.openai._options.fetchOptions.dispatcher).toBeDefined();
-    expect(dalleWithProxy.openai._options.fetchOptions.dispatcher).toBeInstanceOf(ProxyAgent);
-  });
-
-  it('should not configure ProxyAgent when PROXY env is not set', () => {
-    // Ensure PROXY is not set
-    delete process.env.PROXY;
-    process.env.DALLE_API_KEY = 'test-api-key';
-
-    // Create instance
-    const dalleWithoutProxy = new DALLE3({ processFileURL });
-
-    // Check that the openai client exists
-    expect(dalleWithoutProxy.openai).toBeDefined();
-
-    // Check that _options exists but fetchOptions either doesn't exist or doesn't have a dispatcher
-    expect(dalleWithoutProxy.openai._options).toBeDefined();
-
-    // fetchOptions should either not exist or not have a dispatcher
-    if (dalleWithoutProxy.openai._options.fetchOptions) {
-      expect(dalleWithoutProxy.openai._options.fetchOptions.dispatcher).toBeUndefined();
-    }
-  });
-});

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

@@ -1,8 +1,9 @@
 const OpenAI = require('openai');
-const { logger } = require('@librechat/data-schemas');
 const DALLE3 = require('../DALLE3');
+const logger = require('~/config/winston');
 
 jest.mock('openai');
+
 jest.mock('@librechat/data-schemas', () => {
   return {
     logger: {
@@ -25,6 +26,25 @@ jest.mock('tiktoken', () => {
 
 const processFileURL = jest.fn();
 
+jest.mock('~/server/services/Files/images', () => ({
+  getImageBasename: jest.fn().mockImplementation((url) => {
+    // Split the URL by '/'
+    const parts = url.split('/');
+
+    // Get the last part of the URL
+    const lastPart = parts.pop();
+
+    // Check if the last part of the URL matches the image extension regex
+    const imageExtensionRegex = /\.(jpg|jpeg|png|gif|bmp|tiff|svg)$/i;
+    if (imageExtensionRegex.test(lastPart)) {
+      return lastPart;
+    }
+
+    // If the regex test fails, return an empty string
+    return '';
+  }),
+}));
+
 const generate = jest.fn();
 OpenAI.mockImplementation(() => ({
   images: {

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

@@ -1,46 +1,26 @@
 const { z } = require('zod');
 const axios = require('axios');
 const { tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { generateShortLivedToken } = require('@librechat/api');
 const { Tools, EToolResources } = require('librechat-data-provider');
-const { filterFilesByAgentAccess } = require('~/server/services/Files/permissions');
 const { getFiles } = require('~/models/File');
+const { logger } = require('~/config');
 
 /**
  *
  * @param {Object} options
  * @param {ServerRequest} options.req
  * @param {Agent['tool_resources']} options.tool_resources
- * @param {string} [options.agentId] - The agent ID for file access control
  * @returns {Promise<{
  *   files: Array<{ file_id: string; filename: string }>,
  *   toolContext: string
  * }>}
  */
 const primeFiles = async (options) => {
-  const { tool_resources, req, agentId } = 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 ?? [];
-
-  // Get all files first
-  const allFiles = (await getFiles({ file_id: { $in: file_ids } }, null, { text: 0 })) ?? [];
-
-  // Filter by access if user and agent are provided
-  let dbFiles;
-  if (req?.user?.id && agentId) {
-    dbFiles = await filterFilesByAgentAccess({
-      files: allFiles,
-      userId: req.user.id,
-      role: req.user.role,
-      agentId,
-    });
-  } else {
-    dbFiles = allFiles;
-  }
-
-  dbFiles = dbFiles.concat(resourceFiles);
+  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.`;
 
@@ -68,19 +48,18 @@ const primeFiles = async (options) => {
 /**
  *
  * @param {Object} options
- * @param {string} options.userId
+ * @param {ServerRequest} options.req
  * @param {Array<{ file_id: string; filename: string }>} options.files
  * @param {string} [options.entity_id]
- * @param {boolean} [options.fileCitations=false] - Whether to include citation instructions
  * @returns
  */
-const createFileSearchTool = async ({ userId, files, entity_id, fileCitations = false }) => {
+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 = generateShortLivedToken(userId);
+      const jwtToken = req.headers.authorization.split(' ')[1];
       if (!jwtToken) {
         return 'There was an error authenticating the file search request.';
       }
@@ -126,13 +105,11 @@ const createFileSearchTool = async ({ userId, files, entity_id, fileCitations =
       }
 
       const formattedResults = validResults
-        .flatMap((result, fileIndex) =>
+        .flatMap((result) =>
           result.data.map(([docInfo, distance]) => ({
             filename: docInfo.metadata.source.split('/').pop(),
             content: docInfo.page_content,
             distance,
-            file_id: files[fileIndex]?.file_id,
-            page: docInfo.metadata.page || null,
           })),
         )
         // TODO: results should be sorted by relevance, not distance
@@ -142,41 +119,18 @@ const createFileSearchTool = async ({ userId, files, entity_id, fileCitations =
 
       const formattedString = formattedResults
         .map(
-          (result, index) =>
-            `File: ${result.filename}${
-              fileCitations ? `\nAnchor: \\ue202turn0file${index} (${result.filename})` : ''
-            }\nRelevance: ${(1.0 - result.distance).toFixed(4)}\nContent: ${result.content}\n`,
+          (result) =>
+            `File: ${result.filename}\nRelevance: ${1.0 - result.distance.toFixed(4)}\nContent: ${
+              result.content
+            }\n`,
         )
         .join('\n---\n');
 
-      const sources = formattedResults.map((result) => ({
-        type: 'file',
-        fileId: result.file_id,
-        content: result.content,
-        fileName: result.filename,
-        relevance: 1.0 - result.distance,
-        pages: result.page ? [result.page] : [],
-        pageRelevance: result.page ? { [result.page]: 1.0 - result.distance } : {},
-      }));
-
-      return [formattedString, { [Tools.file_search]: { sources, fileCitations } }];
+      return formattedString;
     },
     {
       name: Tools.file_search,
-      responseFormat: 'content_and_artifact',
-      description: `Performs semantic search across attached "${Tools.file_search}" documents using natural language queries. This tool analyzes the content of uploaded files to find relevant information, quotes, and passages that best match your query. Use this to extract specific information or find relevant sections within the available documents.${
-        fileCitations
-          ? `
-
-**CITE FILE SEARCH RESULTS:**
-Use anchor markers immediately after statements derived from file content. Reference the filename in your text:
-- File citation: "The document.pdf states that... \\ue202turn0file0"  
-- Page reference: "According to report.docx... \\ue202turn0file1"
-- Multi-file: "Multiple sources confirm... \\ue200\\ue202turn0file0\\ue202turn0file1\\ue201"
-
-**ALWAYS mention the filename in your text before the citation marker. NEVER use markdown links or footnotes.**`
-          : ''
-      }`,
+      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()

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

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

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

@@ -1,19 +1,12 @@
+const { mcpToolPattern } = require('@librechat/api');
 const { logger } = require('@librechat/data-schemas');
 const { SerpAPI } = require('@langchain/community/tools/serpapi');
 const { Calculator } = require('@langchain/community/tools/calculator');
 const { EnvVar, createCodeExecutionTool, createSearchTool } = require('@librechat/agents');
-const {
-  checkAccess,
-  createSafeUser,
-  mcpToolPattern,
-  loadWebSearchAuth,
-} = require('@librechat/api');
 const {
   Tools,
-  Constants,
-  Permissions,
   EToolResources,
-  PermissionTypes,
+  loadWebSearchAuth,
   replaceSpecialVars,
 } = require('librechat-data-provider');
 const {
@@ -36,10 +29,9 @@ const {
 const { primeFiles: primeCodeFiles } = require('~/server/services/Files/Code/process');
 const { createFileSearchTool, primeFiles: primeSearchFiles } = require('./fileSearch');
 const { getUserPluginAuthValue } = require('~/server/services/PluginService');
-const { createMCPTool, createMCPTools } = require('~/server/services/MCP');
 const { loadAuthValues } = require('~/server/services/Tools/credentials');
-const { getMCPServerTools } = require('~/server/services/Config');
-const { getRoleByName } = require('~/models/Role');
+const { getCachedTools } = require('~/server/services/Config');
+const { createMCPTool } = require('~/server/services/MCP');
 
 /**
  * Validates the availability and authentication of tools for a user based on environment variables or user-specific plugin authentication values.
@@ -134,37 +126,27 @@ const getAuthFields = (toolKey) => {
 
 /**
  *
- * @param {object} params
- * @param {string} params.user
- * @param {Record<string, Record<string, string>>} [object.userMCPAuthMap]
- * @param {AbortSignal} [object.signal]
- * @param {Pick<Agent, 'id' | 'provider' | 'model'>} [params.agent]
- * @param {string} [params.model]
- * @param {EModelEndpoint} [params.endpoint]
- * @param {LoadToolOptions} [params.options]
- * @param {boolean} [params.useSpecs]
- * @param {Array<string>} params.tools
- * @param {boolean} [params.functions]
- * @param {boolean} [params.returnMap]
- * @param {AppConfig['webSearch']} [params.webSearch]
- * @param {AppConfig['fileStrategy']} [params.fileStrategy]
- * @param {AppConfig['imageOutputType']} [params.imageOutputType]
+ * @param {object} object
+ * @param {string} object.user
+ * @param {Pick<Agent, 'id' | 'provider' | 'model'>} [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,
-  signal,
   endpoint,
-  userMCPAuthMap,
   tools = [],
   options = {},
   functions = true,
   returnMap = false,
-  webSearch,
-  fileStrategy,
-  imageOutputType,
 }) => {
   const toolConstructors = {
     flux: FluxAPI,
@@ -223,8 +205,6 @@ const loadTools = async ({
         ...authValues,
         isAgent: !!agent,
         req: options.req,
-        imageOutputType,
-        fileStrategy,
         imageFiles,
       });
     },
@@ -240,7 +220,7 @@ const loadTools = async ({
   const imageGenOptions = {
     isAgent: !!agent,
     req: options.req,
-    fileStrategy,
+    fileStrategy: options.fileStrategy,
     processFileURL: options.processFileURL,
     returnMetadata: options.returnMetadata,
     uploadImageBuffer: options.uploadImageBuffer,
@@ -255,7 +235,7 @@ const loadTools = async ({
 
   /** @type {Record<string, string>} */
   const toolContextMap = {};
-  const requestedMCPTools = {};
+  const appTools = (await getCachedTools({ includeGlobal: true })) ?? {};
 
   for (const tool of tools) {
     if (tool === Tools.execute_code) {
@@ -265,13 +245,7 @@ const loadTools = async ({
           authFields: [EnvVar.CODE_API_KEY],
         });
         const codeApiKey = authValues[EnvVar.CODE_API_KEY];
-        const { files, toolContext } = await primeCodeFiles(
-          {
-            ...options,
-            agentId: agent?.id,
-          },
-          codeApiKey,
-        );
+        const { files, toolContext } = await primeCodeFiles(options, codeApiKey);
         if (toolContext) {
           toolContextMap[tool] = toolContext;
         }
@@ -286,43 +260,19 @@ const loadTools = async ({
       continue;
     } else if (tool === Tools.file_search) {
       requestedTools[tool] = async () => {
-        const { files, toolContext } = await primeSearchFiles({
-          ...options,
-          agentId: agent?.id,
-        });
+        const { files, toolContext } = await primeSearchFiles(options);
         if (toolContext) {
           toolContextMap[tool] = toolContext;
         }
-
-        /** @type {boolean | undefined} Check if user has FILE_CITATIONS permission */
-        let fileCitations;
-        if (fileCitations == null && options.req?.user != null) {
-          try {
-            fileCitations = await checkAccess({
-              user: options.req.user,
-              permissionType: PermissionTypes.FILE_CITATIONS,
-              permissions: [Permissions.USE],
-              getRoleByName,
-            });
-          } catch (error) {
-            logger.error('[handleTools] FILE_CITATIONS permission check failed:', error);
-            fileCitations = false;
-          }
-        }
-
-        return createFileSearchTool({
-          userId: user,
-          files,
-          entity_id: agent?.id,
-          fileCitations,
-        });
+        return createFileSearchTool({ req: options.req, files, entity_id: agent?.id });
       };
       continue;
     } else if (tool === Tools.web_search) {
+      const webSearchConfig = options?.req?.app?.locals?.webSearch;
       const result = await loadWebSearchAuth({
         userId: user,
         loadAuthValues,
-        webSearchConfig: webSearch,
+        webSearchConfig,
       });
       const { onSearchResults, onGetHighlights } = options?.[Tools.web_search] ?? {};
       requestedTools[tool] = async () => {
@@ -344,34 +294,15 @@ Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
         });
       };
       continue;
-    } else if (tool && mcpToolPattern.test(tool)) {
-      const [toolName, serverName] = tool.split(Constants.mcp_delimiter);
-      if (toolName === Constants.mcp_server) {
-        /** Placeholder used for UI purposes */
-        continue;
-      }
-      if (serverName && options.req?.config?.mcpConfig?.[serverName] == null) {
-        logger.warn(
-          `MCP server "${serverName}" for "${toolName}" tool is not configured${agent?.id != null && agent.id ? ` but attached to "${agent.id}"` : ''}`,
-        );
-        continue;
-      }
-      if (toolName === Constants.mcp_all) {
-        requestedMCPTools[serverName] = [
-          {
-            type: 'all',
-            serverName,
-          },
-        ];
-        continue;
-      }
-
-      requestedMCPTools[serverName] = requestedMCPTools[serverName] || [];
-      requestedMCPTools[serverName].push({
-        type: 'single',
-        toolKey: tool,
-        serverName,
-      });
+    } else if (tool && appTools[tool] && mcpToolPattern.test(tool)) {
+      requestedTools[tool] = async () =>
+        createMCPTool({
+          req: options.req,
+          res: options.res,
+          toolKey: tool,
+          model: agent?.model ?? model,
+          provider: agent?.provider ?? endpoint,
+        });
       continue;
     }
 
@@ -411,75 +342,6 @@ Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
   }
 
   const loadedTools = (await Promise.all(toolPromises)).flatMap((plugin) => plugin || []);
-  const mcpToolPromises = [];
-  /** MCP server tools are initialized sequentially by server */
-  let index = -1;
-  const failedMCPServers = new Set();
-  const safeUser = createSafeUser(options.req?.user);
-  for (const [serverName, toolConfigs] of Object.entries(requestedMCPTools)) {
-    index++;
-    /** @type {LCAvailableTools} */
-    let availableTools;
-    for (const config of toolConfigs) {
-      try {
-        if (failedMCPServers.has(serverName)) {
-          continue;
-        }
-        const mcpParams = {
-          index,
-          signal,
-          user: safeUser,
-          userMCPAuthMap,
-          res: options.res,
-          model: agent?.model ?? model,
-          serverName: config.serverName,
-          provider: agent?.provider ?? endpoint,
-        };
-
-        if (config.type === 'all' && toolConfigs.length === 1) {
-          /** Handle async loading for single 'all' tool config */
-          mcpToolPromises.push(
-            createMCPTools(mcpParams).catch((error) => {
-              logger.error(`Error loading ${serverName} tools:`, error);
-              return null;
-            }),
-          );
-          continue;
-        }
-        if (!availableTools) {
-          try {
-            availableTools = await getMCPServerTools(serverName);
-          } catch (error) {
-            logger.error(`Error fetching available tools for MCP server ${serverName}:`, error);
-          }
-        }
-
-        /** Handle synchronous loading */
-        const mcpTool =
-          config.type === 'all'
-            ? await createMCPTools(mcpParams)
-            : await createMCPTool({
-                ...mcpParams,
-                availableTools,
-                toolKey: config.toolKey,
-              });
-
-        if (Array.isArray(mcpTool)) {
-          loadedTools.push(...mcpTool);
-        } else if (mcpTool) {
-          loadedTools.push(mcpTool);
-        } else {
-          failedMCPServers.add(serverName);
-          logger.warn(
-            `MCP tool creation failed for "${config.toolKey}", server may be unavailable or unauthenticated.`,
-          );
-        }
-      } catch (error) {
-        logger.error(`Error loading MCP tool for server ${serverName}:`, error);
-      }
-    }
-  }
-  loadedTools.push(...(await Promise.all(mcpToolPromises)).flatMap((plugin) => plugin || []));
   return { loadedTools, toolContextMap };
 };
 

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

@@ -9,27 +9,7 @@ const mockPluginService = {
 
 jest.mock('~/server/services/PluginService', () => mockPluginService);
 
-jest.mock('~/server/services/Config', () => ({
-  getAppConfig: jest.fn().mockResolvedValue({
-    // Default app config for tool tests
-    paths: { uploads: '/tmp' },
-    fileStrategy: 'local',
-    filteredTools: [],
-    includedTools: [],
-  }),
-  getCachedTools: jest.fn().mockResolvedValue({
-    // Default cached tools for tests
-    dalle: {
-      type: 'function',
-      function: {
-        name: 'dalle',
-        description: 'DALL-E image generation',
-        parameters: {},
-      },
-    },
-  }),
-}));
-
+const { BaseLLM } = require('@langchain/openai');
 const { Calculator } = require('@langchain/community/tools/calculator');
 
 const { User } = require('~/db/models');
@@ -171,6 +151,7 @@ describe('Tool Handlers', () => {
     beforeAll(async () => {
       const toolMap = await loadTools({
         user: fakeUser._id,
+        model: BaseLLM,
         tools: sampleTools,
         returnMap: true,
         useSpecs: true,
@@ -264,6 +245,7 @@ describe('Tool Handlers', () => {
     it('returns an empty object when no tools are requested', async () => {
       toolFunctions = await loadTools({
         user: fakeUser._id,
+        model: BaseLLM,
         returnMap: true,
         useSpecs: true,
       });
@@ -273,6 +255,7 @@ describe('Tool Handlers', () => {
       process.env.SD_WEBUI_URL = mockCredential;
       toolFunctions = await loadTools({
         user: fakeUser._id,
+        model: BaseLLM,
         tools: ['stable-diffusion'],
         functions: true,
         returnMap: true,

api/cache/banViolation.js

@@ -1,8 +1,7 @@
 const { logger } = require('@librechat/data-schemas');
-const { isEnabled, math } = require('@librechat/api');
 const { ViolationTypes } = require('librechat-data-provider');
+const { isEnabled, math, removePorts } = require('~/server/utils');
 const { deleteAllUserSessions } = require('~/models');
-const { removePorts } = require('~/server/utils');
 const getLogStores = require('./getLogStores');
 
 const { BAN_VIOLATIONS, BAN_INTERVAL } = process.env ?? {};

api/cache/clearPendingReq.js

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

api/cache/getLogStores.js

@@ -1,56 +1,113 @@
 const { Keyv } = require('keyv');
-const { Time, CacheKeys, ViolationTypes } = require('librechat-data-provider');
-const {
-  logFile,
-  keyvMongo,
-  cacheConfig,
-  sessionCache,
-  standardCache,
-  violationCache,
-} = require('@librechat/api');
+const { CacheKeys, ViolationTypes, Time } = require('librechat-data-provider');
+const { logFile, violationFile } = require('./keyvFiles');
+const { isEnabled, math } = require('~/server/utils');
+const keyvRedis = require('./keyvRedis');
+const keyvMongo = require('./keyvMongo');
+
+const { BAN_DURATION, USE_REDIS, DEBUG_MEMORY_CACHE, CI } = 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 };
+  return new Keyv(config);
+};
+
+// Serve cache from memory so no need to clear it on startup/exit
+const pending_req = isRedisEnabled
+  ? new Keyv({ store: keyvRedis })
+  : new Keyv({ namespace: CacheKeys.PENDING_REQ });
+
+const config = isRedisEnabled
+  ? new Keyv({ store: keyvRedis })
+  : new Keyv({ namespace: CacheKeys.CONFIG_STORE });
+
+const roles = isRedisEnabled
+  ? new Keyv({ store: keyvRedis })
+  : new Keyv({ namespace: CacheKeys.ROLES });
+
+const mcpTools = isRedisEnabled
+  ? new Keyv({ store: keyvRedis })
+  : new Keyv({ namespace: CacheKeys.MCP_TOOLS });
+
+const audioRuns = isRedisEnabled
+  ? 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 flows = isRedisEnabled
+  ? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
+  : new Keyv({ namespace: CacheKeys.FLOWS, ttl: Time.ONE_MINUTE * 3 });
+
+const tokenConfig = isRedisEnabled
+  ? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
+  : new Keyv({ namespace: CacheKeys.TOKEN_CONFIG, ttl: Time.THIRTY_MINUTES });
+
+const genTitle = isRedisEnabled
+  ? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
+  : new Keyv({ namespace: CacheKeys.GEN_TITLE, ttl: Time.TWO_MINUTES });
+
+const s3ExpiryInterval = isRedisEnabled
+  ? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
+  : new Keyv({ namespace: CacheKeys.S3_EXPIRY_INTERVAL, ttl: Time.THIRTY_MINUTES });
+
+const modelQueries = isEnabled(process.env.USE_REDIS)
+  ? new Keyv({ store: keyvRedis })
+  : new Keyv({ namespace: CacheKeys.MODEL_QUERIES });
+
+const abortKeys = isRedisEnabled
+  ? new Keyv({ store: keyvRedis })
+  : new Keyv({ namespace: CacheKeys.ABORT_KEYS, ttl: Time.TEN_MINUTES });
+
+const openIdExchangedTokensCache = isRedisEnabled
+  ? new Keyv({ store: keyvRedis, ttl: Time.TEN_MINUTES })
+  : new Keyv({ namespace: CacheKeys.OPENID_EXCHANGED_TOKENS, ttl: Time.TEN_MINUTES });
 
 const namespaces = {
-  [ViolationTypes.GENERAL]: new Keyv({ store: logFile, namespace: 'violations' }),
-  [ViolationTypes.LOGINS]: violationCache(ViolationTypes.LOGINS),
-  [ViolationTypes.CONCURRENT]: violationCache(ViolationTypes.CONCURRENT),
-  [ViolationTypes.NON_BROWSER]: violationCache(ViolationTypes.NON_BROWSER),
-  [ViolationTypes.MESSAGE_LIMIT]: violationCache(ViolationTypes.MESSAGE_LIMIT),
-  [ViolationTypes.REGISTRATIONS]: violationCache(ViolationTypes.REGISTRATIONS),
-  [ViolationTypes.TOKEN_BALANCE]: violationCache(ViolationTypes.TOKEN_BALANCE),
-  [ViolationTypes.TTS_LIMIT]: violationCache(ViolationTypes.TTS_LIMIT),
-  [ViolationTypes.STT_LIMIT]: violationCache(ViolationTypes.STT_LIMIT),
-  [ViolationTypes.CONVO_ACCESS]: violationCache(ViolationTypes.CONVO_ACCESS),
-  [ViolationTypes.TOOL_CALL_LIMIT]: violationCache(ViolationTypes.TOOL_CALL_LIMIT),
-  [ViolationTypes.FILE_UPLOAD_LIMIT]: violationCache(ViolationTypes.FILE_UPLOAD_LIMIT),
-  [ViolationTypes.VERIFY_EMAIL_LIMIT]: violationCache(ViolationTypes.VERIFY_EMAIL_LIMIT),
-  [ViolationTypes.RESET_PASSWORD_LIMIT]: violationCache(ViolationTypes.RESET_PASSWORD_LIMIT),
-  [ViolationTypes.ILLEGAL_MODEL_REQUEST]: violationCache(ViolationTypes.ILLEGAL_MODEL_REQUEST),
-  [ViolationTypes.BAN]: new Keyv({
+  [CacheKeys.ROLES]: roles,
+  [CacheKeys.MCP_TOOLS]: mcpTools,
+  [CacheKeys.CONFIG_STORE]: config,
+  [CacheKeys.PENDING_REQ]: pending_req,
+  [ViolationTypes.BAN]: new Keyv({ store: keyvMongo, namespace: CacheKeys.BANS, ttl: duration }),
+  [CacheKeys.ENCODED_DOMAINS]: new Keyv({
     store: keyvMongo,
-    namespace: CacheKeys.BANS,
-    ttl: cacheConfig.BAN_DURATION,
+    namespace: CacheKeys.ENCODED_DOMAINS,
+    ttl: 0,
   }),
-
-  [CacheKeys.OPENID_SESSION]: sessionCache(CacheKeys.OPENID_SESSION),
-  [CacheKeys.SAML_SESSION]: sessionCache(CacheKeys.SAML_SESSION),
-
-  [CacheKeys.ROLES]: standardCache(CacheKeys.ROLES),
-  [CacheKeys.APP_CONFIG]: standardCache(CacheKeys.APP_CONFIG),
-  [CacheKeys.CONFIG_STORE]: standardCache(CacheKeys.CONFIG_STORE),
-  [CacheKeys.PENDING_REQ]: standardCache(CacheKeys.PENDING_REQ),
-  [CacheKeys.ENCODED_DOMAINS]: new Keyv({ store: keyvMongo, namespace: CacheKeys.ENCODED_DOMAINS }),
-  [CacheKeys.ABORT_KEYS]: standardCache(CacheKeys.ABORT_KEYS, Time.TEN_MINUTES),
-  [CacheKeys.TOKEN_CONFIG]: standardCache(CacheKeys.TOKEN_CONFIG, Time.THIRTY_MINUTES),
-  [CacheKeys.GEN_TITLE]: standardCache(CacheKeys.GEN_TITLE, Time.TWO_MINUTES),
-  [CacheKeys.S3_EXPIRY_INTERVAL]: standardCache(CacheKeys.S3_EXPIRY_INTERVAL, Time.THIRTY_MINUTES),
-  [CacheKeys.MODEL_QUERIES]: standardCache(CacheKeys.MODEL_QUERIES),
-  [CacheKeys.AUDIO_RUNS]: standardCache(CacheKeys.AUDIO_RUNS, Time.TEN_MINUTES),
-  [CacheKeys.MESSAGES]: standardCache(CacheKeys.MESSAGES, Time.ONE_MINUTE),
-  [CacheKeys.FLOWS]: standardCache(CacheKeys.FLOWS, Time.ONE_MINUTE * 3),
-  [CacheKeys.OPENID_EXCHANGED_TOKENS]: standardCache(
-    CacheKeys.OPENID_EXCHANGED_TOKENS,
-    Time.TEN_MINUTES,
+  general: new Keyv({ store: logFile, namespace: 'violations' }),
+  concurrent: createViolationInstance('concurrent'),
+  non_browser: createViolationInstance('non_browser'),
+  message_limit: createViolationInstance('message_limit'),
+  token_balance: createViolationInstance(ViolationTypes.TOKEN_BALANCE),
+  registrations: createViolationInstance('registrations'),
+  [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(
+    ViolationTypes.RESET_PASSWORD_LIMIT,
   ),
+  [ViolationTypes.ILLEGAL_MODEL_REQUEST]: createViolationInstance(
+    ViolationTypes.ILLEGAL_MODEL_REQUEST,
+  ),
+  logins: createViolationInstance('logins'),
+  [CacheKeys.ABORT_KEYS]: abortKeys,
+  [CacheKeys.TOKEN_CONFIG]: tokenConfig,
+  [CacheKeys.GEN_TITLE]: genTitle,
+  [CacheKeys.S3_EXPIRY_INTERVAL]: s3ExpiryInterval,
+  [CacheKeys.MODEL_QUERIES]: modelQueries,
+  [CacheKeys.AUDIO_RUNS]: audioRuns,
+  [CacheKeys.MESSAGES]: messages,
+  [CacheKeys.FLOWS]: flows,
+  [CacheKeys.OPENID_EXCHANGED_TOKENS]: openIdExchangedTokensCache,
 };
 
 /**
@@ -59,10 +116,7 @@ const namespaces = {
  */
 function getTTLStores() {
   return Object.values(namespaces).filter(
-    (store) =>
-      store instanceof Keyv &&
-      parseInt(store.opts?.ttl ?? '0') > 0 &&
-      !store.opts?.store?.constructor?.name?.includes('Redis'), // Only include non-Redis stores
+    (store) => store instanceof Keyv && typeof store.opts?.ttl === 'number' && store.opts.ttl > 0,
   );
 }
 
@@ -98,18 +152,18 @@ async function clearExpiredFromCache(cache) {
       if (data?.expires && data.expires <= expiryTime) {
         const deleted = await cache.opts.store.delete(key);
         if (!deleted) {
-          cacheConfig.DEBUG_MEMORY_CACHE &&
+          debugMemoryCache &&
             console.warn(`[Cache] Error deleting entry: ${key} from ${cache.opts.namespace}`);
           continue;
         }
         cleared++;
       }
     } catch (error) {
-      cacheConfig.DEBUG_MEMORY_CACHE &&
+      debugMemoryCache &&
         console.log(`[Cache] Error processing entry from ${cache.opts.namespace}:`, error);
       const deleted = await cache.opts.store.delete(key);
       if (!deleted) {
-        cacheConfig.DEBUG_MEMORY_CACHE &&
+        debugMemoryCache &&
           console.warn(`[Cache] Error deleting entry: ${key} from ${cache.opts.namespace}`);
         continue;
       }
@@ -118,7 +172,7 @@ async function clearExpiredFromCache(cache) {
   }
 
   if (cleared > 0) {
-    cacheConfig.DEBUG_MEMORY_CACHE &&
+    debugMemoryCache &&
       console.log(
         `[Cache] Cleared ${cleared} entries older than ${ttl}ms from ${cache.opts.namespace}`,
       );
@@ -159,7 +213,7 @@ async function clearAllExpiredFromCache() {
   }
 }
 
-if (!cacheConfig.USE_REDIS && !cacheConfig.CI) {
+if (!isRedisEnabled && !isEnabled(CI)) {
   /** @type {Set<NodeJS.Timeout>} */
   const cleanupIntervals = new Set();
 
@@ -170,7 +224,7 @@ if (!cacheConfig.USE_REDIS && !cacheConfig.CI) {
 
   cleanupIntervals.add(cleanup);
 
-  if (cacheConfig.DEBUG_MEMORY_CACHE) {
+  if (debugMemoryCache) {
     const monitor = setInterval(() => {
       const ttlStores = getTTLStores();
       const memory = process.memoryUsage();
@@ -191,13 +245,13 @@ if (!cacheConfig.USE_REDIS && !cacheConfig.CI) {
   }
 
   const dispose = () => {
-    cacheConfig.DEBUG_MEMORY_CACHE && console.log('[Cache] Cleaning up and shutting down...');
+    debugMemoryCache && console.log('[Cache] Cleaning up and shutting down...');
     cleanupIntervals.forEach((interval) => clearInterval(interval));
     cleanupIntervals.clear();
 
     // One final cleanup before exit
     clearAllExpiredFromCache().then(() => {
-      cacheConfig.DEBUG_MEMORY_CACHE && console.log('[Cache] Final cleanup completed');
+      debugMemoryCache && console.log('[Cache] Final cleanup completed');
       process.exit(0);
     });
   };

api/cache/index.js

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

api/cache/ioredisClient.js

@@ -0,0 +1,92 @@
+const fs = require('fs');
+const Redis = require('ioredis');
+const { isEnabled } = require('~/server/utils');
+const logger = require('~/config/winston');
+
+const { REDIS_URI, USE_REDIS, USE_REDIS_CLUSTER, REDIS_CA, REDIS_MAX_LISTENERS } = process.env;
+
+/** @type {import('ioredis').Redis | import('ioredis').Cluster} */
+let ioredisClient;
+const redis_max_listeners = Number(REDIS_MAX_LISTENERS) || 40;
+
+function mapURI(uri) {
+  const regex =
+    /^(?:(?<scheme>\w+):\/\/)?(?:(?<user>[^:@]+)(?::(?<password>[^@]+))?@)?(?<host>[\w.-]+)(?::(?<port>\d{1,5}))?$/;
+  const match = uri.match(regex);
+
+  if (match) {
+    const { scheme, user, password, host, port } = match.groups;
+
+    return {
+      scheme: scheme || 'none',
+      user: user || null,
+      password: password || null,
+      host: host || null,
+      port: port || null,
+    };
+  } else {
+    const parts = uri.split(':');
+    if (parts.length === 2) {
+      return {
+        scheme: 'none',
+        user: null,
+        password: null,
+        host: parts[0],
+        port: parts[1],
+      };
+    }
+
+    return {
+      scheme: 'none',
+      user: null,
+      password: null,
+      host: uri,
+      port: null,
+    };
+  }
+}
+
+if (REDIS_URI && isEnabled(USE_REDIS)) {
+  let redisOptions = null;
+
+  if (REDIS_CA) {
+    const ca = fs.readFileSync(REDIS_CA);
+    redisOptions = { tls: { ca } };
+  }
+
+  if (isEnabled(USE_REDIS_CLUSTER)) {
+    const hosts = REDIS_URI.split(',').map((item) => {
+      var value = mapURI(item);
+
+      return {
+        host: value.host,
+        port: value.port,
+      };
+    });
+    ioredisClient = new Redis.Cluster(hosts, { redisOptions });
+  } else {
+    ioredisClient = new Redis(REDIS_URI, redisOptions);
+  }
+
+  ioredisClient.on('ready', () => {
+    logger.info('IoRedis connection ready');
+  });
+  ioredisClient.on('reconnecting', () => {
+    logger.info('IoRedis connection reconnecting');
+  });
+  ioredisClient.on('end', () => {
+    logger.info('IoRedis connection ended');
+  });
+  ioredisClient.on('close', () => {
+    logger.info('IoRedis connection closed');
+  });
+  ioredisClient.on('error', (err) => logger.error('IoRedis connection error:', err));
+  ioredisClient.setMaxListeners(redis_max_listeners);
+  logger.info(
+    '[Optional] IoRedis initialized for rate limiters. If you have issues, disable Redis or restart the server.',
+  );
+} else {
+  logger.info('[Optional] IoRedis not initialized for rate limiters.');
+}
+
+module.exports = ioredisClient;

api/cache/keyvFiles.js

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

api/cache/keyvMongo.js

@@ -1,69 +1,65 @@
-import mongoose from 'mongoose';
-import { EventEmitter } from 'events';
-import { GridFSBucket } from 'mongodb';
-import { logger } from '@librechat/data-schemas';
-import type { Db, ReadPreference, Collection } from 'mongodb';
+// api/cache/keyvMongo.js
+const mongoose = require('mongoose');
+const EventEmitter = require('events');
+const { GridFSBucket } = require('mongodb');
+const { logger } = require('~/config');
 
-interface KeyvMongoOptions {
-  url?: string;
-  collection?: string;
-  useGridFS?: boolean;
-  readPreference?: ReadPreference;
-}
-
-interface GridFSClient {
-  bucket: GridFSBucket;
-  store: Collection;
-  db: Db;
-}
-
-interface CollectionClient {
-  store: Collection;
-  db: Db;
-}
-
-type Client = GridFSClient | CollectionClient;
-
-const storeMap = new Map<string, Client>();
+const storeMap = new Map();
 
 class KeyvMongoCustom extends EventEmitter {
-  private opts: KeyvMongoOptions;
-  public ttlSupport: boolean;
-  public namespace?: string;
-
-  constructor(options: KeyvMongoOptions = {}) {
+  constructor(url, options = {}) {
     super();
 
+    url = url || {};
+    if (typeof url === 'string') {
+      url = { url };
+    }
+    if (url.uri) {
+      url = { url: url.uri, ...url };
+    }
+
     this.opts = {
       url: 'mongodb://127.0.0.1:27017',
       collection: 'keyv',
+      ...url,
       ...options,
     };
 
     this.ttlSupport = false;
+
+    // Filter valid options
+    const keyvMongoKeys = new Set([
+      'url',
+      'collection',
+      'namespace',
+      'serialize',
+      'deserialize',
+      'uri',
+      'useGridFS',
+      'dialect',
+    ]);
+    this.opts = Object.fromEntries(Object.entries(this.opts).filter(([k]) => keyvMongoKeys.has(k)));
   }
 
   // Helper to access the store WITHOUT storing a promise on the instance
-  private async _getClient(): Promise<Client> {
+  _getClient() {
     const storeKey = `${this.opts.collection}:${this.opts.useGridFS ? 'gridfs' : 'collection'}`;
 
     // If we already have the store initialized, return it directly
     if (storeMap.has(storeKey)) {
-      return storeMap.get(storeKey)!;
+      return Promise.resolve(storeMap.get(storeKey));
     }
 
     // Check mongoose connection state
     if (mongoose.connection.readyState !== 1) {
-      throw new Error('Mongoose connection not ready. Ensure connectDb() is called first.');
+      return Promise.reject(
+        new Error('Mongoose connection not ready. Ensure connectDb() is called first.'),
+      );
     }
 
     try {
-      const db = mongoose.connection.db as unknown as Db | undefined;
-      if (!db) {
-        throw new Error('MongoDB database not available');
-      }
-
-      let client: Client;
+      const db = mongoose.connection.db;
+      let client;
 
       if (this.opts.useGridFS) {
         const bucket = new GridFSBucket(db, {
@@ -79,17 +75,17 @@ class KeyvMongoCustom extends EventEmitter {
       }
 
       storeMap.set(storeKey, client);
-      return client;
+      return Promise.resolve(client);
     } catch (error) {
       this.emit('error', error);
-      throw error;
+      return Promise.reject(error);
     }
   }
 
-  async get(key: string): Promise<unknown> {
+  async get(key) {
     const client = await this._getClient();
 
-    if (this.opts.useGridFS && this.isGridFSClient(client)) {
+    if (this.opts.useGridFS) {
       await client.store.updateOne(
         {
           filename: key,
@@ -104,7 +100,7 @@ class KeyvMongoCustom extends EventEmitter {
       const stream = client.bucket.openDownloadStreamByName(key);
 
       return new Promise((resolve) => {
-        const resp: Uint8Array[] = [];
+        const resp = [];
         stream.on('error', () => {
           resolve(undefined);
         });
@@ -114,7 +110,7 @@ class KeyvMongoCustom extends EventEmitter {
           resolve(data);
         });
 
-        stream.on('data', (chunk: Uint8Array) => {
+        stream.on('data', (chunk) => {
           resp.push(chunk);
         });
       });
@@ -129,7 +125,7 @@ class KeyvMongoCustom extends EventEmitter {
     return document.value;
   }
 
-  async getMany(keys: string[]): Promise<unknown[]> {
+  async getMany(keys) {
     const client = await this._getClient();
 
     if (this.opts.useGridFS) {
@@ -139,9 +135,9 @@ class KeyvMongoCustom extends EventEmitter {
       }
 
       const values = await Promise.allSettled(promises);
-      const data: unknown[] = [];
+      const data = [];
       for (const value of values) {
-        data.push(value.status === 'fulfilled' ? value.value : undefined);
+        data.push(value.value);
       }
 
       return data;
@@ -152,7 +148,7 @@ class KeyvMongoCustom extends EventEmitter {
       .project({ _id: 0, value: 1, key: 1 })
       .toArray();
 
-    const results: unknown[] = [...keys];
+    const results = [...keys];
     let i = 0;
     for (const key of keys) {
       const rowIndex = values.findIndex((row) => row.key === key);
@@ -163,11 +159,11 @@ class KeyvMongoCustom extends EventEmitter {
     return results;
   }
 
-  async set(key: string, value: string, ttl?: number): Promise<unknown> {
+  async set(key, value, ttl) {
     const client = await this._getClient();
     const expiresAt = typeof ttl === 'number' ? new Date(Date.now() + ttl) : null;
 
-    if (this.opts.useGridFS && this.isGridFSClient(client)) {
+    if (this.opts.useGridFS) {
       const stream = client.bucket.openUploadStream(key, {
         metadata: {
           expiresAt,
@@ -190,18 +186,20 @@ class KeyvMongoCustom extends EventEmitter {
     );
   }
 
-  async delete(key: string): Promise<boolean> {
+  async delete(key) {
+    if (typeof key !== 'string') {
+      return false;
+    }
+
     const client = await this._getClient();
 
-    if (this.opts.useGridFS && this.isGridFSClient(client)) {
+    if (this.opts.useGridFS) {
       try {
         const bucket = new GridFSBucket(client.db, {
           bucketName: this.opts.collection,
         });
         const files = await bucket.find({ filename: key }).toArray();
-        if (files.length > 0) {
-          await client.bucket.delete(files[0]._id);
-        }
+        await client.bucket.delete(files[0]._id);
         return true;
       } catch {
         return false;
@@ -212,10 +210,10 @@ class KeyvMongoCustom extends EventEmitter {
     return object.deletedCount > 0;
   }
 
-  async deleteMany(keys: string[]): Promise<boolean> {
+  async deleteMany(keys) {
     const client = await this._getClient();
 
-    if (this.opts.useGridFS && this.isGridFSClient(client)) {
+    if (this.opts.useGridFS) {
       const bucket = new GridFSBucket(client.db, {
         bucketName: this.opts.collection,
       });
@@ -232,17 +230,15 @@ class KeyvMongoCustom extends EventEmitter {
     return object.deletedCount > 0;
   }
 
-  async clear(): Promise<void> {
+  async clear() {
     const client = await this._getClient();
 
-    if (this.opts.useGridFS && this.isGridFSClient(client)) {
+    if (this.opts.useGridFS) {
       try {
         await client.bucket.drop();
-      } catch (error: unknown) {
+      } catch (error) {
         // Throw error if not "namespace not found" error
-        const errorCode =
-          error instanceof Error && 'code' in error ? (error as { code?: number }).code : undefined;
-        if (errorCode !== 26) {
+        if (!(error.code === 26)) {
           throw error;
         }
       }
@@ -253,7 +249,7 @@ class KeyvMongoCustom extends EventEmitter {
     });
   }
 
-  async has(key: string): Promise<boolean> {
+  async has(key) {
     const client = await this._getClient();
     const filter = { [this.opts.useGridFS ? 'filename' : 'key']: { $eq: key } };
     const document = await client.store.countDocuments(filter, { limit: 1 });
@@ -261,14 +257,10 @@ class KeyvMongoCustom extends EventEmitter {
   }
 
   // No-op disconnect
-  async disconnect(): Promise<boolean> {
+  async disconnect() {
     // This is a no-op since we don't want to close the shared mongoose connection
     return true;
   }
-
-  private isGridFSClient(client: Client): client is GridFSClient {
-    return (client as GridFSClient).bucket != null;
-  }
 }
 
 const keyvMongo = new KeyvMongoCustom({
@@ -277,4 +269,4 @@ const keyvMongo = new KeyvMongoCustom({
 
 keyvMongo.on('error', (err) => logger.error('KeyvMongo connection error:', err));
 
-export default keyvMongo;
+module.exports = keyvMongo;

api/cache/keyvRedis.js

@@ -0,0 +1,109 @@
+const fs = require('fs');
+const ioredis = require('ioredis');
+const KeyvRedis = require('@keyv/redis').default;
+const { isEnabled } = require('~/server/utils');
+const logger = require('~/config/winston');
+
+const { REDIS_URI, USE_REDIS, USE_REDIS_CLUSTER, REDIS_CA, REDIS_KEY_PREFIX, REDIS_MAX_LISTENERS } =
+  process.env;
+
+let keyvRedis;
+const redis_prefix = REDIS_KEY_PREFIX || '';
+const redis_max_listeners = Number(REDIS_MAX_LISTENERS) || 40;
+
+function mapURI(uri) {
+  const regex =
+    /^(?:(?<scheme>\w+):\/\/)?(?:(?<user>[^:@]+)(?::(?<password>[^@]+))?@)?(?<host>[\w.-]+)(?::(?<port>\d{1,5}))?$/;
+  const match = uri.match(regex);
+
+  if (match) {
+    const { scheme, user, password, host, port } = match.groups;
+
+    return {
+      scheme: scheme || 'none',
+      user: user || null,
+      password: password || null,
+      host: host || null,
+      port: port || null,
+    };
+  } else {
+    const parts = uri.split(':');
+    if (parts.length === 2) {
+      return {
+        scheme: 'none',
+        user: null,
+        password: null,
+        host: parts[0],
+        port: parts[1],
+      };
+    }
+
+    return {
+      scheme: 'none',
+      user: null,
+      password: null,
+      host: uri,
+      port: null,
+    };
+  }
+}
+
+if (REDIS_URI && isEnabled(USE_REDIS)) {
+  let redisOptions = null;
+  /** @type {import('@keyv/redis').KeyvRedisOptions} */
+  let keyvOpts = {
+    useRedisSets: false,
+    keyPrefix: redis_prefix,
+  };
+
+  if (REDIS_CA) {
+    const ca = fs.readFileSync(REDIS_CA);
+    redisOptions = { tls: { ca } };
+  }
+
+  if (isEnabled(USE_REDIS_CLUSTER)) {
+    const hosts = REDIS_URI.split(',').map((item) => {
+      var value = mapURI(item);
+
+      return {
+        host: value.host,
+        port: value.port,
+      };
+    });
+    const cluster = new ioredis.Cluster(hosts, { redisOptions });
+    keyvRedis = new KeyvRedis(cluster, keyvOpts);
+  } else {
+    keyvRedis = new KeyvRedis(REDIS_URI, keyvOpts);
+  }
+
+  const pingInterval = setInterval(
+    () => {
+      logger.debug('KeyvRedis ping');
+      keyvRedis.client.ping().catch((err) => logger.error('Redis keep-alive ping failed:', err));
+    },
+    5 * 60 * 1000,
+  );
+
+  keyvRedis.on('ready', () => {
+    logger.info('KeyvRedis connection ready');
+  });
+  keyvRedis.on('reconnecting', () => {
+    logger.info('KeyvRedis connection reconnecting');
+  });
+  keyvRedis.on('end', () => {
+    logger.info('KeyvRedis connection ended');
+  });
+  keyvRedis.on('close', () => {
+    clearInterval(pingInterval);
+    logger.info('KeyvRedis connection closed');
+  });
+  keyvRedis.on('error', (err) => logger.error('KeyvRedis connection error:', err));
+  keyvRedis.setMaxListeners(redis_max_listeners);
+  logger.info(
+    '[Optional] Redis initialized. If you have issues, or seeing older values, disable it or flush cache to refresh values.',
+  );
+} else {
+  logger.info('[Optional] Redis not initialized.');
+}
+
+module.exports = keyvRedis;

api/cache/logViolation.js

@@ -1,5 +1,4 @@
-const { isEnabled } = require('@librechat/api');
-const { ViolationTypes } = require('librechat-data-provider');
+const { isEnabled } = require('~/server/utils');
 const getLogStores = require('./getLogStores');
 const banViolation = require('./banViolation');
 
@@ -10,14 +9,14 @@ const banViolation = require('./banViolation');
  * @param {Object} res - Express response object.
  * @param {string} type - The type of violation.
  * @param {Object} errorMessage - The error message to log.
- * @param {number | string} [score=1] - The severity of the violation. Defaults to 1
+ * @param {number} [score=1] - The severity of the violation. Defaults to 1
  */
 const logViolation = async (req, res, type, errorMessage, score = 1) => {
   const userId = req.user?.id ?? req.user?._id;
   if (!userId) {
     return;
   }
-  const logs = getLogStores(ViolationTypes.GENERAL);
+  const logs = getLogStores('general');
   const violationLogs = getLogStores(type);
   const key = isEnabled(process.env.USE_REDIS) ? `${type}:${userId}` : userId;
 

api/config/index.js

@@ -1,13 +1,27 @@
 const { EventSource } = require('eventsource');
 const { Time } = require('librechat-data-provider');
-const { MCPManager, FlowStateManager, OAuthReconnectionManager } = require('@librechat/api');
+const { MCPManager, FlowStateManager } = require('@librechat/api');
 const logger = require('./winston');
 
 global.EventSource = EventSource;
 
 /** @type {MCPManager} */
+let mcpManager = null;
 let flowManager = null;
 
+/**
+ * @param {string} [userId] - Optional user ID, to avoid disconnecting the current user.
+ * @returns {MCPManager}
+ */
+function getMCPManager(userId) {
+  if (!mcpManager) {
+    mcpManager = MCPManager.getInstance();
+  } else {
+    mcpManager.checkIdleConnections(userId);
+  }
+  return mcpManager;
+}
+
 /**
  * @param {Keyv} flowsCache
  * @returns {FlowStateManager}
@@ -23,9 +37,6 @@ function getFlowStateManager(flowsCache) {
 
 module.exports = {
   logger,
-  createMCPManager: MCPManager.createInstance,
-  getMCPManager: MCPManager.getInstance,
+  getMCPManager,
   getFlowStateManager,
-  createOAuthReconnectionManager: OAuthReconnectionManager.createInstance,
-  getOAuthReconnectionManager: OAuthReconnectionManager.getInstance,
 };

api/db/connect.js

@@ -1,34 +1,11 @@
 require('dotenv').config();
-const { isEnabled } = require('@librechat/api');
-const { logger } = require('@librechat/data-schemas');
-
 const mongoose = require('mongoose');
 const MONGO_URI = process.env.MONGO_URI;
 
 if (!MONGO_URI) {
   throw new Error('Please define the MONGO_URI environment variable');
 }
-/** The maximum number of connections in the connection pool. */
-const maxPoolSize = parseInt(process.env.MONGO_MAX_POOL_SIZE) || undefined;
-/** The minimum number of connections in the connection pool. */
-const minPoolSize = parseInt(process.env.MONGO_MIN_POOL_SIZE) || undefined;
-/** The maximum number of connections that may be in the process of being established concurrently by the connection pool. */
-const maxConnecting = parseInt(process.env.MONGO_MAX_CONNECTING) || undefined;
-/** The maximum number of milliseconds that a connection can remain idle in the pool before being removed and closed. */
-const maxIdleTimeMS = parseInt(process.env.MONGO_MAX_IDLE_TIME_MS) || undefined;
-/** The maximum time in milliseconds that a thread can wait for a connection to become available. */
-const waitQueueTimeoutMS = parseInt(process.env.MONGO_WAIT_QUEUE_TIMEOUT_MS) || undefined;
-/** Set to false to disable automatic index creation for all models associated with this connection. */
-const autoIndex =
-  process.env.MONGO_AUTO_INDEX != undefined
-    ? isEnabled(process.env.MONGO_AUTO_INDEX) || false
-    : undefined;
 
-/** Set to `false` to disable Mongoose automatically calling `createCollection()` on every model created on this connection. */
-const autoCreate =
-  process.env.MONGO_AUTO_CREATE != undefined
-    ? isEnabled(process.env.MONGO_AUTO_CREATE) || false
-    : undefined;
 /**
  * Global is used here to maintain a cached connection across hot reloads
  * in development. This prevents connections growing exponentially
@@ -49,21 +26,13 @@ async function connectDb() {
   if (!cached.promise || disconnected) {
     const opts = {
       bufferCommands: false,
-      ...(maxPoolSize ? { maxPoolSize } : {}),
-      ...(minPoolSize ? { minPoolSize } : {}),
-      ...(maxConnecting ? { maxConnecting } : {}),
-      ...(maxIdleTimeMS ? { maxIdleTimeMS } : {}),
-      ...(waitQueueTimeoutMS ? { waitQueueTimeoutMS } : {}),
-      ...(autoIndex != undefined ? { autoIndex } : {}),
-      ...(autoCreate != undefined ? { autoCreate } : {}),
       // useNewUrlParser: true,
       // useUnifiedTopology: true,
       // bufferMaxEntries: 0,
       // useFindAndModify: true,
       // useCreateIndex: true
     };
-    logger.info('Mongo Connection options');
-    logger.info(JSON.stringify(opts, null, 2));
+
     mongoose.set('strictQuery', true);
     cached.promise = mongoose.connect(MONGO_URI, opts).then((mongoose) => {
       return mongoose;

api/db/indexSync.js

@@ -1,8 +1,10 @@
 const mongoose = require('mongoose');
 const { MeiliSearch } = require('meilisearch');
 const { logger } = require('@librechat/data-schemas');
+const { FlowStateManager } = require('@librechat/api');
 const { CacheKeys } = require('librechat-data-provider');
-const { isEnabled, FlowStateManager } = require('@librechat/api');
+
+const { isEnabled } = require('~/server/utils');
 const { getLogStores } = require('~/cache');
 
 const Conversation = mongoose.models.Conversation;
@@ -29,265 +31,79 @@ class MeiliSearchClient {
   }
 }
 
-/**
- * Deletes documents from MeiliSearch index that are missing the user field
- * @param {import('meilisearch').Index} index - MeiliSearch index instance
- * @param {string} indexName - Name of the index for logging
- * @returns {Promise<number>} - Number of documents deleted
- */
-async function deleteDocumentsWithoutUserField(index, indexName) {
-  let deletedCount = 0;
-  let offset = 0;
-  const batchSize = 1000;
-
-  try {
-    while (true) {
-      const searchResult = await index.search('', {
-        limit: batchSize,
-        offset: offset,
-      });
-
-      if (searchResult.hits.length === 0) {
-        break;
-      }
-
-      const idsToDelete = searchResult.hits.filter((hit) => !hit.user).map((hit) => hit.id);
-
-      if (idsToDelete.length > 0) {
-        logger.info(
-          `[indexSync] Deleting ${idsToDelete.length} documents without user field from ${indexName} index`,
-        );
-        await index.deleteDocuments(idsToDelete);
-        deletedCount += idsToDelete.length;
-      }
-
-      if (searchResult.hits.length < batchSize) {
-        break;
-      }
-
-      offset += batchSize;
-    }
-
-    if (deletedCount > 0) {
-      logger.info(`[indexSync] Deleted ${deletedCount} orphaned documents from ${indexName} index`);
-    }
-  } catch (error) {
-    logger.error(`[indexSync] Error deleting documents from ${indexName}:`, error);
-  }
-
-  return deletedCount;
-}
-
-/**
- * Ensures indexes have proper filterable attributes configured and checks if documents have user field
- * @param {MeiliSearch} client - MeiliSearch client instance
- * @returns {Promise<{settingsUpdated: boolean, orphanedDocsFound: boolean}>} - Status of what was done
- */
-async function ensureFilterableAttributes(client) {
-  let settingsUpdated = false;
-  let hasOrphanedDocs = false;
-
-  try {
-    // Check and update messages index
-    try {
-      const messagesIndex = client.index('messages');
-      const settings = await messagesIndex.getSettings();
-
-      if (!settings.filterableAttributes || !settings.filterableAttributes.includes('user')) {
-        logger.info('[indexSync] Configuring messages index to filter by user...');
-        await messagesIndex.updateSettings({
-          filterableAttributes: ['user'],
-        });
-        logger.info('[indexSync] Messages index configured for user filtering');
-        settingsUpdated = true;
-      }
-
-      // Check if existing documents have user field indexed
-      try {
-        const searchResult = await messagesIndex.search('', { limit: 1 });
-        if (searchResult.hits.length > 0 && !searchResult.hits[0].user) {
-          logger.info(
-            '[indexSync] Existing messages missing user field, will clean up orphaned documents...',
-          );
-          hasOrphanedDocs = true;
-        }
-      } catch (searchError) {
-        logger.debug('[indexSync] Could not check message documents:', searchError.message);
-      }
-    } catch (error) {
-      if (error.code !== 'index_not_found') {
-        logger.warn('[indexSync] Could not check/update messages index settings:', error.message);
-      }
-    }
-
-    // Check and update conversations index
-    try {
-      const convosIndex = client.index('convos');
-      const settings = await convosIndex.getSettings();
-
-      if (!settings.filterableAttributes || !settings.filterableAttributes.includes('user')) {
-        logger.info('[indexSync] Configuring convos index to filter by user...');
-        await convosIndex.updateSettings({
-          filterableAttributes: ['user'],
-        });
-        logger.info('[indexSync] Convos index configured for user filtering');
-        settingsUpdated = true;
-      }
-
-      // Check if existing documents have user field indexed
-      try {
-        const searchResult = await convosIndex.search('', { limit: 1 });
-        if (searchResult.hits.length > 0 && !searchResult.hits[0].user) {
-          logger.info(
-            '[indexSync] Existing conversations missing user field, will clean up orphaned documents...',
-          );
-          hasOrphanedDocs = true;
-        }
-      } catch (searchError) {
-        logger.debug('[indexSync] Could not check conversation documents:', searchError.message);
-      }
-    } catch (error) {
-      if (error.code !== 'index_not_found') {
-        logger.warn('[indexSync] Could not check/update convos index settings:', error.message);
-      }
-    }
-
-    // If either index has orphaned documents, clean them up (but don't force resync)
-    if (hasOrphanedDocs) {
-      try {
-        const messagesIndex = client.index('messages');
-        await deleteDocumentsWithoutUserField(messagesIndex, 'messages');
-      } catch (error) {
-        logger.debug('[indexSync] Could not clean up messages:', error.message);
-      }
-
-      try {
-        const convosIndex = client.index('convos');
-        await deleteDocumentsWithoutUserField(convosIndex, 'convos');
-      } catch (error) {
-        logger.debug('[indexSync] Could not clean up convos:', error.message);
-      }
-
-      logger.info('[indexSync] Orphaned documents cleaned up without forcing resync.');
-    }
-
-    if (settingsUpdated) {
-      logger.info('[indexSync] Index settings updated. Full re-sync will be triggered.');
-    }
-  } catch (error) {
-    logger.error('[indexSync] Error ensuring filterable attributes:', error);
-  }
-
-  return { settingsUpdated, orphanedDocsFound: hasOrphanedDocs };
-}
-
 /**
  * Performs the actual sync operations for messages and conversations
- * @param {FlowStateManager} flowManager - Flow state manager instance
- * @param {string} flowId - Flow identifier
- * @param {string} flowType - Flow type
  */
-async function performSync(flowManager, flowId, flowType) {
-  try {
-    const client = MeiliSearchClient.getInstance();
+async function performSync() {
+  const client = MeiliSearchClient.getInstance();
 
-    const { status } = await client.health();
-    if (status !== 'available') {
-      throw new Error('Meilisearch not available');
-    }
-
-    if (indexingDisabled === true) {
-      logger.info('[indexSync] Indexing is disabled, skipping...');
-      return { messagesSync: false, convosSync: false };
-    }
-
-    /** Ensures indexes have proper filterable attributes configured */
-    const { settingsUpdated, orphanedDocsFound: _orphanedDocsFound } =
-      await ensureFilterableAttributes(client);
-
-    let messagesSync = false;
-    let convosSync = false;
-
-    // Only reset flags if settings were actually updated (not just for orphaned doc cleanup)
-    if (settingsUpdated) {
-      logger.info(
-        '[indexSync] Settings updated. Forcing full re-sync to reindex with new configuration...',
-      );
-
-      // Reset sync flags to force full re-sync
-      await Message.collection.updateMany({ _meiliIndex: true }, { $set: { _meiliIndex: false } });
-      await Conversation.collection.updateMany(
-        { _meiliIndex: true },
-        { $set: { _meiliIndex: false } },
-      );
-    }
-
-    // Check if we need to sync messages
-    const messageProgress = await Message.getSyncProgress();
-    if (!messageProgress.isComplete || settingsUpdated) {
-      logger.info(
-        `[indexSync] Messages need syncing: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments} indexed`,
-      );
-
-      // Check if we should do a full sync or incremental
-      const messageCount = await Message.countDocuments();
-      const messagesIndexed = messageProgress.totalProcessed;
-      const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
-
-      if (messageCount - messagesIndexed > syncThreshold) {
-        logger.info('[indexSync] Starting full message sync due to large difference');
-        await Message.syncWithMeili();
-        messagesSync = true;
-      } else if (messageCount !== messagesIndexed) {
-        logger.warn('[indexSync] Messages out of sync, performing incremental sync');
-        await Message.syncWithMeili();
-        messagesSync = true;
-      }
-    } else {
-      logger.info(
-        `[indexSync] Messages are fully synced: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments}`,
-      );
-    }
-
-    // Check if we need to sync conversations
-    const convoProgress = await Conversation.getSyncProgress();
-    if (!convoProgress.isComplete || settingsUpdated) {
-      logger.info(
-        `[indexSync] Conversations need syncing: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments} indexed`,
-      );
-
-      const convoCount = await Conversation.countDocuments();
-      const convosIndexed = convoProgress.totalProcessed;
-      const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
-
-      if (convoCount - convosIndexed > syncThreshold) {
-        logger.info('[indexSync] Starting full conversation sync due to large difference');
-        await Conversation.syncWithMeili();
-        convosSync = true;
-      } else if (convoCount !== convosIndexed) {
-        logger.warn('[indexSync] Convos out of sync, performing incremental sync');
-        await Conversation.syncWithMeili();
-        convosSync = true;
-      }
-    } else {
-      logger.info(
-        `[indexSync] Conversations are fully synced: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments}`,
-      );
-    }
-
-    return { messagesSync, convosSync };
-  } finally {
-    if (indexingDisabled === true) {
-      logger.info('[indexSync] Indexing is disabled, skipping cleanup...');
-    } else if (flowManager && flowId && flowType) {
-      try {
-        await flowManager.deleteFlow(flowId, flowType);
-        logger.debug('[indexSync] Flow state cleaned up');
-      } catch (cleanupErr) {
-        logger.debug('[indexSync] Could not clean up flow state:', cleanupErr.message);
-      }
-    }
+  const { status } = await client.health();
+  if (status !== 'available') {
+    throw new Error('Meilisearch not available');
   }
+
+  if (indexingDisabled === true) {
+    logger.info('[indexSync] Indexing is disabled, skipping...');
+    return { messagesSync: false, convosSync: false };
+  }
+
+  let messagesSync = false;
+  let convosSync = false;
+
+  // Check if we need to sync messages
+  const messageProgress = await Message.getSyncProgress();
+  if (!messageProgress.isComplete) {
+    logger.info(
+      `[indexSync] Messages need syncing: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments} indexed`,
+    );
+
+    // Check if we should do a full sync or incremental
+    const messageCount = await Message.countDocuments();
+    const messagesIndexed = messageProgress.totalProcessed;
+    const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
+
+    if (messageCount - messagesIndexed > syncThreshold) {
+      logger.info('[indexSync] Starting full message sync due to large difference');
+      await Message.syncWithMeili();
+      messagesSync = true;
+    } else if (messageCount !== messagesIndexed) {
+      logger.warn('[indexSync] Messages out of sync, performing incremental sync');
+      await Message.syncWithMeili();
+      messagesSync = true;
+    }
+  } else {
+    logger.info(
+      `[indexSync] Messages are fully synced: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments}`,
+    );
+  }
+
+  // Check if we need to sync conversations
+  const convoProgress = await Conversation.getSyncProgress();
+  if (!convoProgress.isComplete) {
+    logger.info(
+      `[indexSync] Conversations need syncing: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments} indexed`,
+    );
+
+    const convoCount = await Conversation.countDocuments();
+    const convosIndexed = convoProgress.totalProcessed;
+    const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
+
+    if (convoCount - convosIndexed > syncThreshold) {
+      logger.info('[indexSync] Starting full conversation sync due to large difference');
+      await Conversation.syncWithMeili();
+      convosSync = true;
+    } else if (convoCount !== convosIndexed) {
+      logger.warn('[indexSync] Convos out of sync, performing incremental sync');
+      await Conversation.syncWithMeili();
+      convosSync = true;
+    }
+  } else {
+    logger.info(
+      `[indexSync] Conversations are fully synced: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments}`,
+    );
+  }
+
+  return { messagesSync, convosSync };
 }
 
 /**
@@ -300,26 +116,24 @@ async function indexSync() {
 
   logger.info('[indexSync] Starting index synchronization check...');
 
-  // Get or create FlowStateManager instance
-  const flowsCache = getLogStores(CacheKeys.FLOWS);
-  if (!flowsCache) {
-    logger.warn('[indexSync] Flows cache not available, falling back to direct sync');
-    return await performSync(null, null, null);
-  }
-
-  const flowManager = new FlowStateManager(flowsCache, {
-    ttl: 60000 * 10, // 10 minutes TTL for sync operations
-  });
-
-  // Use a unique flow ID for the sync operation
-  const flowId = 'meili-index-sync';
-  const flowType = 'MEILI_SYNC';
-
   try {
+    // Get or create FlowStateManager instance
+    const flowsCache = getLogStores(CacheKeys.FLOWS);
+    if (!flowsCache) {
+      logger.warn('[indexSync] Flows cache not available, falling back to direct sync');
+      return await performSync();
+    }
+
+    const flowManager = new FlowStateManager(flowsCache, {
+      ttl: 60000 * 10, // 10 minutes TTL for sync operations
+    });
+
+    // Use a unique flow ID for the sync operation
+    const flowId = 'meili-index-sync';
+    const flowType = 'MEILI_SYNC';
+
     // This will only execute the handler if no other instance is running the sync
-    const result = await flowManager.createFlowWithHandler(flowId, flowType, () =>
-      performSync(flowManager, flowId, flowType),
-    );
+    const result = await flowManager.createFlowWithHandler(flowId, flowType, performSync);
 
     if (result.messagesSync || result.convosSync) {
       logger.info('[indexSync] Sync completed successfully');

api/jest.config.js

@@ -3,7 +3,6 @@ module.exports = {
   clearMocks: true,
   roots: ['<rootDir>'],
   coverageDirectory: 'coverage',
-  testTimeout: 30000, // 30 seconds timeout for all tests
   setupFiles: [
     './test/jestSetup.js',
     './test/__mocks__/logger.js',

api/models/Agent.js

@@ -1,17 +1,18 @@
 const mongoose = require('mongoose');
 const crypto = require('node:crypto');
 const { logger } = require('@librechat/data-schemas');
-const { ResourceType, SystemRoles, Tools, actionDelimiter } = require('librechat-data-provider');
-const { GLOBAL_PROJECT_NAME, EPHEMERAL_AGENT_ID, mcp_all, mcp_delimiter } =
+const { SystemRoles, Tools, actionDelimiter } = require('librechat-data-provider');
+const { GLOBAL_PROJECT_NAME, EPHEMERAL_AGENT_ID, mcp_delimiter } =
   require('librechat-data-provider').Constants;
+const { CONFIG_STORE, STARTUP_CONFIG } = require('librechat-data-provider').CacheKeys;
 const {
-  removeAgentFromAllProjects,
-  removeAgentIdsFromProject,
-  addAgentIdsToProject,
   getProjectByName,
+  addAgentIdsToProject,
+  removeAgentIdsFromProject,
+  removeAgentFromAllProjects,
 } = require('./Project');
-const { removeAllPermissions } = require('~/server/services/PermissionService');
-const { getMCPServerTools } = require('~/server/services/Config');
+const { getCachedTools } = require('~/server/services/Config');
+const getLogStores = require('~/cache/getLogStores');
 const { getActions } = require('./Action');
 const { Agent } = require('~/db/models');
 
@@ -22,7 +23,7 @@ const { Agent } = require('~/db/models');
  * @throws {Error} If the agent creation fails.
  */
 const createAgent = async (agentData) => {
-  const { author: _author, ...versionData } = agentData;
+  const { author, ...versionData } = agentData;
   const timestamp = new Date();
   const initialAgentData = {
     ...agentData,
@@ -33,9 +34,7 @@ const createAgent = async (agentData) => {
         updatedAt: timestamp,
       },
     ],
-    category: agentData.category || 'general',
   };
-
   return (await Agent.create(initialAgentData)).toObject();
 };
 
@@ -49,14 +48,6 @@ const createAgent = async (agentData) => {
  */
 const getAgent = async (searchParameter) => await Agent.findOne(searchParameter).lean();
 
-/**
- * Get multiple agent documents based on the provided search parameters.
- *
- * @param {Object} searchParameter - The search parameters to find agents.
- * @returns {Promise<Agent[]>} Array of agent documents as plain objects.
- */
-const getAgents = async (searchParameter) => await Agent.find(searchParameter).lean();
-
 /**
  * Load an agent based on the provided ID
  *
@@ -69,6 +60,8 @@ const getAgents = async (searchParameter) => await Agent.find(searchParameter).l
  */
 const loadEphemeralAgent = async ({ req, agent_id, endpoint, model_parameters: _m }) => {
   const { model, ...model_parameters } = _m;
+  /** @type {Record<string, FunctionTool>} */
+  const availableTools = await getCachedTools({ includeGlobal: true });
   /** @type {TEphemeralAgent | null} */
   const ephemeralAgent = req.body.ephemeralAgent;
   const mcpServers = new Set(ephemeralAgent?.mcp);
@@ -77,32 +70,24 @@ const loadEphemeralAgent = async ({ req, agent_id, endpoint, model_parameters: _
   if (ephemeralAgent?.execute_code === true) {
     tools.push(Tools.execute_code);
   }
-  if (ephemeralAgent?.file_search === true) {
-    tools.push(Tools.file_search);
-  }
   if (ephemeralAgent?.web_search === true) {
     tools.push(Tools.web_search);
   }
 
-  const addedServers = new Set();
   if (mcpServers.size > 0) {
-    for (const mcpServer of mcpServers) {
-      if (addedServers.has(mcpServer)) {
+    for (const toolName of Object.keys(availableTools)) {
+      if (!toolName.includes(mcp_delimiter)) {
         continue;
       }
-      const serverTools = await getMCPServerTools(mcpServer);
-      if (!serverTools) {
-        tools.push(`${mcp_all}${mcp_delimiter}${mcpServer}`);
-        addedServers.add(mcpServer);
-        continue;
+      const mcpServer = toolName.split(mcp_delimiter)?.[1];
+      if (mcpServer && mcpServers.has(mcpServer)) {
+        tools.push(toolName);
       }
-      tools.push(...Object.keys(serverTools));
-      addedServers.add(mcpServer);
     }
   }
 
   const instructions = req.body.promptPrefix;
-  const result = {
+  return {
     id: agent_id,
     instructions,
     provider: endpoint,
@@ -110,11 +95,6 @@ const loadEphemeralAgent = async ({ req, agent_id, endpoint, model_parameters: _
     model,
     tools,
   };
-
-  if (ephemeralAgent?.artifacts != null && ephemeralAgent.artifacts) {
-    result.artifacts = ephemeralAgent.artifacts;
-  }
-  return result;
 };
 
 /**
@@ -143,7 +123,29 @@ const loadAgent = async ({ req, agent_id, endpoint, model_parameters }) => {
   }
 
   agent.version = agent.versions ? agent.versions.length : 0;
-  return agent;
+
+  if (agent.author.toString() === req.user.id) {
+    return agent;
+  }
+
+  if (!agent.projectIds) {
+    return null;
+  }
+
+  const cache = getLogStores(CONFIG_STORE);
+  /** @type {TStartupConfig} */
+  const cachedStartupConfig = await cache.get(STARTUP_CONFIG);
+  let { instanceProjectId } = cachedStartupConfig ?? {};
+  if (!instanceProjectId) {
+    instanceProjectId = (await getProjectByName(GLOBAL_PROJECT_NAME, '_id'))._id.toString();
+  }
+
+  for (const projectObjectId of agent.projectIds) {
+    const projectId = projectObjectId.toString();
+    if (projectId === instanceProjectId) {
+      return agent;
+    }
+  }
 };
 
 /**
@@ -173,7 +175,7 @@ const isDuplicateVersion = (updateData, currentData, versions, actionsHash = nul
     'actionsHash', // Exclude actionsHash from direct comparison
   ];
 
-  const { $push: _$push, $pull: _$pull, $addToSet: _$addToSet, ...directUpdates } = updateData;
+  const { $push, $pull, $addToSet, ...directUpdates } = updateData;
 
   if (Object.keys(directUpdates).length === 0 && !actionsHash) {
     return null;
@@ -192,116 +194,54 @@ const isDuplicateVersion = (updateData, currentData, versions, actionsHash = nul
 
   let isMatch = true;
   for (const field of importantFields) {
-    const wouldBeValue = wouldBeVersion[field];
-    const lastVersionValue = lastVersion[field];
-
-    // Skip if both are undefined/null
-    if (!wouldBeValue && !lastVersionValue) {
+    if (!wouldBeVersion[field] && !lastVersion[field]) {
       continue;
     }
 
-    // Handle arrays
-    if (Array.isArray(wouldBeValue) || Array.isArray(lastVersionValue)) {
-      // Normalize: treat undefined/null as empty array for comparison
-      let wouldBeArr;
-      if (Array.isArray(wouldBeValue)) {
-        wouldBeArr = wouldBeValue;
-      } else if (wouldBeValue == null) {
-        wouldBeArr = [];
-      } else {
-        wouldBeArr = [wouldBeValue];
-      }
-
-      let lastVersionArr;
-      if (Array.isArray(lastVersionValue)) {
-        lastVersionArr = lastVersionValue;
-      } else if (lastVersionValue == null) {
-        lastVersionArr = [];
-      } else {
-        lastVersionArr = [lastVersionValue];
-      }
-
-      if (wouldBeArr.length !== lastVersionArr.length) {
+    if (Array.isArray(wouldBeVersion[field]) && Array.isArray(lastVersion[field])) {
+      if (wouldBeVersion[field].length !== lastVersion[field].length) {
         isMatch = false;
         break;
       }
 
       // Special handling for projectIds (MongoDB ObjectIds)
       if (field === 'projectIds') {
-        const wouldBeIds = wouldBeArr.map((id) => id.toString()).sort();
-        const versionIds = lastVersionArr.map((id) => id.toString()).sort();
+        const wouldBeIds = wouldBeVersion[field].map((id) => id.toString()).sort();
+        const versionIds = lastVersion[field].map((id) => id.toString()).sort();
 
         if (!wouldBeIds.every((id, i) => id === versionIds[i])) {
           isMatch = false;
           break;
         }
       }
-      // Handle arrays of objects
-      else if (
-        wouldBeArr.length > 0 &&
-        typeof wouldBeArr[0] === 'object' &&
-        wouldBeArr[0] !== null
-      ) {
-        const sortedWouldBe = [...wouldBeArr].map((item) => JSON.stringify(item)).sort();
-        const sortedVersion = [...lastVersionArr].map((item) => JSON.stringify(item)).sort();
+      // Handle arrays of objects like tool_kwargs
+      else if (typeof wouldBeVersion[field][0] === 'object' && wouldBeVersion[field][0] !== null) {
+        const sortedWouldBe = [...wouldBeVersion[field]].map((item) => JSON.stringify(item)).sort();
+        const sortedVersion = [...lastVersion[field]].map((item) => JSON.stringify(item)).sort();
 
         if (!sortedWouldBe.every((item, i) => item === sortedVersion[i])) {
           isMatch = false;
           break;
         }
       } else {
-        const sortedWouldBe = [...wouldBeArr].sort();
-        const sortedVersion = [...lastVersionArr].sort();
+        const sortedWouldBe = [...wouldBeVersion[field]].sort();
+        const sortedVersion = [...lastVersion[field]].sort();
 
         if (!sortedWouldBe.every((item, i) => item === sortedVersion[i])) {
           isMatch = false;
           break;
         }
       }
-    }
-    // Handle objects
-    else if (typeof wouldBeValue === 'object' && wouldBeValue !== null) {
-      const lastVersionObj =
-        typeof lastVersionValue === 'object' && lastVersionValue !== null ? lastVersionValue : {};
-
-      // For empty objects, normalize the comparison
-      const wouldBeKeys = Object.keys(wouldBeValue);
-      const lastVersionKeys = Object.keys(lastVersionObj);
-
-      // If both are empty objects, they're equal
-      if (wouldBeKeys.length === 0 && lastVersionKeys.length === 0) {
-        continue;
-      }
-
-      // Otherwise do a deep comparison
-      if (JSON.stringify(wouldBeValue) !== JSON.stringify(lastVersionObj)) {
-        isMatch = false;
-        break;
-      }
-    }
-    // Handle primitive values
-    else {
-      // For primitives, handle the case where one is undefined and the other is a default value
-      if (wouldBeValue !== lastVersionValue) {
-        // Special handling for boolean false vs undefined
-        if (
-          typeof wouldBeValue === 'boolean' &&
-          wouldBeValue === false &&
-          lastVersionValue === undefined
-        ) {
-          continue;
-        }
-        // Special handling for empty string vs undefined
-        if (
-          typeof wouldBeValue === 'string' &&
-          wouldBeValue === '' &&
-          lastVersionValue === undefined
-        ) {
-          continue;
-        }
+    } else if (field === 'model_parameters') {
+      const wouldBeParams = wouldBeVersion[field] || {};
+      const lastVersionParams = lastVersion[field] || {};
+      if (JSON.stringify(wouldBeParams) !== JSON.stringify(lastVersionParams)) {
         isMatch = false;
         break;
       }
+    } else if (wouldBeVersion[field] !== lastVersion[field]) {
+      isMatch = false;
+      break;
     }
   }
 
@@ -330,14 +270,7 @@ const updateAgent = async (searchParameter, updateData, options = {}) => {
 
   const currentAgent = await Agent.findOne(searchParameter);
   if (currentAgent) {
-    const {
-      __v,
-      _id,
-      id: __id,
-      versions,
-      author: _author,
-      ...versionData
-    } = currentAgent.toObject();
+    const { __v, _id, id, versions, author, ...versionData } = currentAgent.toObject();
     const { $push, $pull, $addToSet, ...directUpdates } = updateData;
 
     let actionsHash = null;
@@ -375,10 +308,17 @@ const updateAgent = async (searchParameter, updateData, options = {}) => {
     if (shouldCreateVersion) {
       const duplicateVersion = isDuplicateVersion(updateData, versionData, versions, actionsHash);
       if (duplicateVersion && !forceVersion) {
-        // No changes detected, return the current agent without creating a new version
-        const agentObj = currentAgent.toObject();
-        agentObj.version = versions.length;
-        return agentObj;
+        const error = new Error(
+          'Duplicate version: This would create a version identical to an existing one',
+        );
+        error.statusCode = 409;
+        error.details = {
+          duplicateVersion,
+          versionIndex: versions.findIndex(
+            (v) => JSON.stringify(duplicateVersion) === JSON.stringify(v),
+          ),
+        };
+        throw error;
       }
     }
 
@@ -517,117 +457,12 @@ const deleteAgent = async (searchParameter) => {
   const agent = await Agent.findOneAndDelete(searchParameter);
   if (agent) {
     await removeAgentFromAllProjects(agent.id);
-    await removeAllPermissions({
-      resourceType: ResourceType.AGENT,
-      resourceId: agent._id,
-    });
   }
   return agent;
 };
 
-/**
- * Get agents by accessible IDs with optional cursor-based pagination.
- * @param {Object} params - The parameters for getting accessible agents.
- * @param {Array} [params.accessibleIds] - Array of agent ObjectIds the user has ACL access to.
- * @param {Object} [params.otherParams] - Additional query parameters (including author filter).
- * @param {number} [params.limit] - Number of agents to return (max 100). If not provided, returns all agents.
- * @param {string} [params.after] - Cursor for pagination - get agents after this cursor. // base64 encoded JSON string with updatedAt and _id.
- * @returns {Promise<Object>} A promise that resolves to an object containing the agents data and pagination info.
- */
-const getListAgentsByAccess = async ({
-  accessibleIds = [],
-  otherParams = {},
-  limit = null,
-  after = null,
-}) => {
-  const isPaginated = limit !== null && limit !== undefined;
-  const normalizedLimit = isPaginated ? Math.min(Math.max(1, parseInt(limit) || 20), 100) : null;
-
-  // Build base query combining ACL accessible agents with other filters
-  const baseQuery = { ...otherParams, _id: { $in: accessibleIds } };
-
-  // Add cursor condition
-  if (after) {
-    try {
-      const cursor = JSON.parse(Buffer.from(after, 'base64').toString('utf8'));
-      const { updatedAt, _id } = cursor;
-
-      const cursorCondition = {
-        $or: [
-          { updatedAt: { $lt: new Date(updatedAt) } },
-          { updatedAt: new Date(updatedAt), _id: { $gt: new mongoose.Types.ObjectId(_id) } },
-        ],
-      };
-
-      // Merge cursor condition with base query
-      if (Object.keys(baseQuery).length > 0) {
-        baseQuery.$and = [{ ...baseQuery }, cursorCondition];
-        // Remove the original conditions from baseQuery to avoid duplication
-        Object.keys(baseQuery).forEach((key) => {
-          if (key !== '$and') delete baseQuery[key];
-        });
-      } else {
-        Object.assign(baseQuery, cursorCondition);
-      }
-    } catch (error) {
-      logger.warn('Invalid cursor:', error.message);
-    }
-  }
-
-  let query = Agent.find(baseQuery, {
-    id: 1,
-    _id: 1,
-    name: 1,
-    avatar: 1,
-    author: 1,
-    projectIds: 1,
-    description: 1,
-    updatedAt: 1,
-    category: 1,
-    support_contact: 1,
-    is_promoted: 1,
-  }).sort({ updatedAt: -1, _id: 1 });
-
-  // Only apply limit if pagination is requested
-  if (isPaginated) {
-    query = query.limit(normalizedLimit + 1);
-  }
-
-  const agents = await query.lean();
-
-  const hasMore = isPaginated ? agents.length > normalizedLimit : false;
-  const data = (isPaginated ? agents.slice(0, normalizedLimit) : agents).map((agent) => {
-    if (agent.author) {
-      agent.author = agent.author.toString();
-    }
-    return agent;
-  });
-
-  // Generate next cursor only if paginated
-  let nextCursor = null;
-  if (isPaginated && hasMore && data.length > 0) {
-    const lastAgent = agents[normalizedLimit - 1];
-    nextCursor = Buffer.from(
-      JSON.stringify({
-        updatedAt: lastAgent.updatedAt.toISOString(),
-        _id: lastAgent._id.toString(),
-      }),
-    ).toString('base64');
-  }
-
-  return {
-    object: 'list',
-    data,
-    first_id: data.length > 0 ? data[0].id : null,
-    last_id: data.length > 0 ? data[data.length - 1].id : null,
-    has_more: hasMore,
-    after: nextCursor,
-  };
-};
-
 /**
  * Get all agents.
- * @deprecated Use getListAgentsByAccess for ACL-aware agent listing
  * @param {Object} searchParameter - The search parameters to find matching agents.
  * @param {string} searchParameter.author - The user ID of the agent's author.
  * @returns {Promise<Object>} A promise that resolves to an object containing the agents data and pagination info.
@@ -646,15 +481,13 @@ const getListAgents = async (searchParameter) => {
   const agents = (
     await Agent.find(query, {
       id: 1,
-      _id: 1,
+      _id: 0,
       name: 1,
       avatar: 1,
       author: 1,
       projectIds: 1,
       description: 1,
-      // @deprecated - isCollaborative replaced by ACL permissions
       isCollaborative: 1,
-      category: 1,
     }).lean()
   ).map((agent) => {
     if (agent.author?.toString() !== author) {
@@ -683,7 +516,7 @@ const getListAgents = async (searchParameter) => {
  * This function also updates the corresponding projects to include or exclude the agent ID.
  *
  * @param {Object} params - Parameters for updating the agent's projects.
- * @param {IUser} params.user - Parameters for updating the agent's projects.
+ * @param {MongoUser} params.user - Parameters for updating the agent's projects.
  * @param {string} params.agentId - The ID of the agent to update.
  * @param {string[]} [params.projectIds] - Array of project IDs to add to the agent.
  * @param {string[]} [params.removeProjectIds] - Array of project IDs to remove from the agent.
@@ -820,14 +653,6 @@ const generateActionMetadataHash = async (actionIds, actions) => {
 
   return hashHex;
 };
-/**
- * Counts the number of promoted agents.
- * @returns  {Promise<number>} - The count of promoted agents
- */
-const countPromotedAgents = async () => {
-  const count = await Agent.countDocuments({ is_promoted: true });
-  return count;
-};
 
 /**
  * Load a default agent based on the endpoint
@@ -837,7 +662,6 @@ const countPromotedAgents = async () => {
 
 module.exports = {
   getAgent,
-  getAgents,
   loadAgent,
   createAgent,
   updateAgent,
@@ -846,8 +670,6 @@ module.exports = {
   revertAgentVersion,
   updateAgentProjects,
   addAgentResourceFile,
-  getListAgentsByAccess,
   removeAgentResourceFiles,
   generateActionMetadataHash,
-  countPromotedAgents,
 };

api/models/Categories.js

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

api/models/Conversation.js

@@ -1,5 +1,4 @@
 const { logger } = require('@librechat/data-schemas');
-const { createTempChatExpirationDate } = require('@librechat/api');
 const { getMessages, deleteMessages } = require('./Message');
 const { Conversation } = require('~/db/models');
 
@@ -28,7 +27,7 @@ const getConvo = async (user, conversationId) => {
     return await Conversation.findOne({ user, conversationId }).lean();
   } catch (error) {
     logger.error('[getConvo] Error getting single conversation', error);
-    throw new Error('Error getting single conversation');
+    return { message: 'Error getting single conversation' };
   }
 };
 
@@ -99,15 +98,10 @@ module.exports = {
         update.conversationId = newConversationId;
       }
 
-      if (req?.body?.isTemporary) {
-        try {
-          const appConfig = req.config;
-          update.expiredAt = createTempChatExpirationDate(appConfig?.interfaceConfig);
-        } catch (err) {
-          logger.error('Error creating temporary chat expiration date:', err);
-          logger.info(`---\`saveConvo\` context: ${metadata?.context}`);
-          update.expiredAt = null;
-        }
+      if (req.body.isTemporary) {
+        const expiredAt = new Date();
+        expiredAt.setDate(expiredAt.getDate() + 30);
+        update.expiredAt = expiredAt;
       } else {
         update.expiredAt = null;
       }
@@ -151,21 +145,13 @@ module.exports = {
       const result = await Conversation.bulkWrite(bulkOps);
       return result;
     } catch (error) {
-      logger.error('[bulkSaveConvos] Error saving conversations in bulk', error);
+      logger.error('[saveBulkConversations] Error saving conversations in bulk', error);
       throw new Error('Failed to save conversations in bulk.');
     }
   },
   getConvosByCursor: async (
     user,
-    {
-      cursor,
-      limit = 25,
-      isArchived = false,
-      tags,
-      search,
-      sortBy = 'createdAt',
-      sortDirection = 'desc',
-    } = {},
+    { cursor, limit = 25, isArchived = false, tags, search, order = 'desc' } = {},
   ) => {
     const filters = [{ user }];
     if (isArchived) {
@@ -182,7 +168,7 @@ module.exports = {
 
     if (search) {
       try {
-        const meiliResults = await Conversation.meiliSearch(search, { filter: `user = "${user}"` });
+        const meiliResults = await Conversation.meiliSearch(search);
         const matchingIds = Array.isArray(meiliResults.hits)
           ? meiliResults.hits.map((result) => result.conversationId)
           : [];
@@ -192,77 +178,35 @@ module.exports = {
         filters.push({ conversationId: { $in: matchingIds } });
       } catch (error) {
         logger.error('[getConvosByCursor] Error during meiliSearch', error);
-        throw new Error('Error during meiliSearch');
+        return { message: 'Error during meiliSearch' };
       }
     }
 
-    const validSortFields = ['title', 'createdAt', 'updatedAt'];
-    if (!validSortFields.includes(sortBy)) {
-      throw new Error(
-        `Invalid sortBy field: ${sortBy}. Must be one of ${validSortFields.join(', ')}`,
-      );
-    }
-    const finalSortBy = sortBy;
-    const finalSortDirection = sortDirection === 'asc' ? 'asc' : 'desc';
-
-    let cursorFilter = null;
     if (cursor) {
-      try {
-        const decoded = JSON.parse(Buffer.from(cursor, 'base64').toString());
-        const { primary, secondary } = decoded;
-        const primaryValue = finalSortBy === 'title' ? primary : new Date(primary);
-        const secondaryValue = new Date(secondary);
-        const op = finalSortDirection === 'asc' ? '$gt' : '$lt';
-
-        cursorFilter = {
-          $or: [
-            { [finalSortBy]: { [op]: primaryValue } },
-            {
-              [finalSortBy]: primaryValue,
-              updatedAt: { [op]: secondaryValue },
-            },
-          ],
-        };
-      } catch (err) {
-        logger.warn('[getConvosByCursor] Invalid cursor format, starting from beginning');
-      }
-      if (cursorFilter) {
-        filters.push(cursorFilter);
-      }
+      filters.push({ updatedAt: { $lt: new Date(cursor) } });
     }
 
     const query = filters.length === 1 ? filters[0] : { $and: filters };
 
     try {
-      const sortOrder = finalSortDirection === 'asc' ? 1 : -1;
-      const sortObj = { [finalSortBy]: sortOrder };
-
-      if (finalSortBy !== 'updatedAt') {
-        sortObj.updatedAt = sortOrder;
-      }
-
       const convos = await Conversation.find(query)
         .select(
           'conversationId endpoint title createdAt updatedAt user model agent_id assistant_id spec iconURL',
         )
-        .sort(sortObj)
+        .sort({ updatedAt: order === 'asc' ? 1 : -1 })
         .limit(limit + 1)
         .lean();
 
       let nextCursor = null;
       if (convos.length > limit) {
         const lastConvo = convos.pop();
-        const primaryValue = lastConvo[finalSortBy];
-        const primaryStr = finalSortBy === 'title' ? primaryValue : primaryValue.toISOString();
-        const secondaryStr = lastConvo.updatedAt.toISOString();
-        const composite = { primary: primaryStr, secondary: secondaryStr };
-        nextCursor = Buffer.from(JSON.stringify(composite)).toString('base64');
+        nextCursor = lastConvo.updatedAt.toISOString();
       }
 
       return { conversations: convos, nextCursor };
     } catch (error) {
       logger.error('[getConvosByCursor] Error getting conversations', error);
-      throw new Error('Error getting conversations');
+      return { message: 'Error getting conversations' };
     }
   },
   getConvosQueried: async (user, convoIds, cursor = null, limit = 25) => {
@@ -302,7 +246,7 @@ module.exports = {
       return { conversations: limited, nextCursor, convoMap };
     } catch (error) {
       logger.error('[getConvosQueried] Error getting conversations', error);
-      throw new Error('Error fetching conversations');
+      return { message: 'Error fetching conversations' };
     }
   },
   getConvo,
@@ -319,7 +263,7 @@ module.exports = {
       }
     } catch (error) {
       logger.error('[getConvoTitle] Error getting conversation title', error);
-      throw new Error('Error getting conversation title');
+      return { message: 'Error getting conversation title' };
     }
   },
   /**

api/models/Conversation.spec.js

@@ -1,570 +0,0 @@
-const mongoose = require('mongoose');
-const { v4: uuidv4 } = require('uuid');
-const { EModelEndpoint } = require('librechat-data-provider');
-const { MongoMemoryServer } = require('mongodb-memory-server');
-const {
-  deleteNullOrEmptyConversations,
-  searchConversation,
-  getConvosByCursor,
-  getConvosQueried,
-  getConvoFiles,
-  getConvoTitle,
-  deleteConvos,
-  saveConvo,
-  getConvo,
-} = require('./Conversation');
-jest.mock('~/server/services/Config/app');
-jest.mock('./Message');
-const { getMessages, deleteMessages } = require('./Message');
-
-const { Conversation } = require('~/db/models');
-
-describe('Conversation Operations', () => {
-  let mongoServer;
-  let mockReq;
-  let mockConversationData;
-
-  beforeAll(async () => {
-    mongoServer = await MongoMemoryServer.create();
-    const mongoUri = mongoServer.getUri();
-    await mongoose.connect(mongoUri);
-  });
-
-  afterAll(async () => {
-    await mongoose.disconnect();
-    await mongoServer.stop();
-  });
-
-  beforeEach(async () => {
-    // Clear database
-    await Conversation.deleteMany({});
-
-    // Reset mocks
-    jest.clearAllMocks();
-
-    // Default mock implementations
-    getMessages.mockResolvedValue([]);
-    deleteMessages.mockResolvedValue({ deletedCount: 0 });
-
-    mockReq = {
-      user: { id: 'user123' },
-      body: {},
-      config: {
-        interfaceConfig: {
-          temporaryChatRetention: 24, // Default 24 hours
-        },
-      },
-    };
-
-    mockConversationData = {
-      conversationId: uuidv4(),
-      title: 'Test Conversation',
-      endpoint: EModelEndpoint.openAI,
-    };
-  });
-
-  describe('saveConvo', () => {
-    it('should save a conversation for an authenticated user', async () => {
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.user).toBe('user123');
-      expect(result.title).toBe('Test Conversation');
-      expect(result.endpoint).toBe(EModelEndpoint.openAI);
-
-      // Verify the conversation was actually saved to the database
-      const savedConvo = await Conversation.findOne({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-      });
-      expect(savedConvo).toBeTruthy();
-      expect(savedConvo.title).toBe('Test Conversation');
-    });
-
-    it('should query messages when saving a conversation', async () => {
-      // Mock messages as ObjectIds
-      const mongoose = require('mongoose');
-      const mockMessages = [new mongoose.Types.ObjectId(), new mongoose.Types.ObjectId()];
-      getMessages.mockResolvedValue(mockMessages);
-
-      await saveConvo(mockReq, mockConversationData);
-
-      // Verify that getMessages was called with correct parameters
-      expect(getMessages).toHaveBeenCalledWith(
-        { conversationId: mockConversationData.conversationId },
-        '_id',
-      );
-    });
-
-    it('should handle newConversationId when provided', async () => {
-      const newConversationId = uuidv4();
-      const result = await saveConvo(mockReq, {
-        ...mockConversationData,
-        newConversationId,
-      });
-
-      expect(result.conversationId).toBe(newConversationId);
-    });
-
-    it('should handle unsetFields metadata', async () => {
-      const metadata = {
-        unsetFields: { someField: 1 },
-      };
-
-      await saveConvo(mockReq, mockConversationData, metadata);
-
-      const savedConvo = await Conversation.findOne({
-        conversationId: mockConversationData.conversationId,
-      });
-      expect(savedConvo.someField).toBeUndefined();
-    });
-  });
-
-  describe('isTemporary conversation handling', () => {
-    it('should save a conversation with expiredAt when isTemporary is true', async () => {
-      // Mock app config with 24 hour retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 24;
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveConvo(mockReq, mockConversationData);
-      const afterSave = new Date();
-
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.expiredAt).toBeDefined();
-      expect(result.expiredAt).toBeInstanceOf(Date);
-
-      // Verify expiredAt is approximately 24 hours in the future
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 24 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        new Date(afterSave.getTime() + 24 * 60 * 60 * 1000 + 1000).getTime(),
-      );
-    });
-
-    it('should save a conversation without expiredAt when isTemporary is false', async () => {
-      mockReq.body = { isTemporary: false };
-
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.expiredAt).toBeNull();
-    });
-
-    it('should save a conversation without expiredAt when isTemporary is not provided', async () => {
-      // No isTemporary in body
-      mockReq.body = {};
-
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.expiredAt).toBeNull();
-    });
-
-    it('should use custom retention period from config', async () => {
-      // Mock app config with 48 hour retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 48;
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Verify expiredAt is approximately 48 hours in the future
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 48 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should handle minimum retention period (1 hour)', async () => {
-      // Mock app config with less than minimum retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 0.5; // Half hour - should be clamped to 1 hour
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Verify expiredAt is approximately 1 hour in the future (minimum)
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 1 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should handle maximum retention period (8760 hours)', async () => {
-      // Mock app config with more than maximum retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 10000; // Should be clamped to 8760 hours
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Verify expiredAt is approximately 8760 hours (1 year) in the future
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 8760 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should handle missing config gracefully', async () => {
-      // Simulate missing config - should use default retention period
-      delete mockReq.config;
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveConvo(mockReq, mockConversationData);
-      const afterSave = new Date();
-
-      // Should still save the conversation with default retention period (30 days)
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.expiredAt).toBeDefined();
-      expect(result.expiredAt).toBeInstanceOf(Date);
-
-      // Verify expiredAt is approximately 30 days in the future (720 hours)
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 720 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        new Date(afterSave.getTime() + 720 * 60 * 60 * 1000 + 1000).getTime(),
-      );
-    });
-
-    it('should use default retention when config is not provided', async () => {
-      // Mock getAppConfig to return empty config
-      mockReq.config = {}; // Empty config
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Default retention is 30 days (720 hours)
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 30 * 24 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should update expiredAt when saving existing temporary conversation', async () => {
-      // First save a temporary conversation
-      mockReq.config.interfaceConfig.temporaryChatRetention = 24;
-
-      mockReq.body = { isTemporary: true };
-      const firstSave = await saveConvo(mockReq, mockConversationData);
-      const originalExpiredAt = firstSave.expiredAt;
-
-      // Wait a bit to ensure time difference
-      await new Promise((resolve) => setTimeout(resolve, 100));
-
-      // Save again with same conversationId but different title
-      const updatedData = { ...mockConversationData, title: 'Updated Title' };
-      const secondSave = await saveConvo(mockReq, updatedData);
-
-      // Should update title and create new expiredAt
-      expect(secondSave.title).toBe('Updated Title');
-      expect(secondSave.expiredAt).toBeDefined();
-      expect(new Date(secondSave.expiredAt).getTime()).toBeGreaterThan(
-        new Date(originalExpiredAt).getTime(),
-      );
-    });
-
-    it('should not set expiredAt when updating non-temporary conversation', async () => {
-      // First save a non-temporary conversation
-      mockReq.body = { isTemporary: false };
-      const firstSave = await saveConvo(mockReq, mockConversationData);
-      expect(firstSave.expiredAt).toBeNull();
-
-      // Update without isTemporary flag
-      mockReq.body = {};
-      const updatedData = { ...mockConversationData, title: 'Updated Title' };
-      const secondSave = await saveConvo(mockReq, updatedData);
-
-      expect(secondSave.title).toBe('Updated Title');
-      expect(secondSave.expiredAt).toBeNull();
-    });
-
-    it('should filter out expired conversations in getConvosByCursor', async () => {
-      // Create some test conversations
-      const nonExpiredConvo = await Conversation.create({
-        conversationId: uuidv4(),
-        user: 'user123',
-        title: 'Non-expired',
-        endpoint: EModelEndpoint.openAI,
-        expiredAt: null,
-        updatedAt: new Date(),
-      });
-
-      await Conversation.create({
-        conversationId: uuidv4(),
-        user: 'user123',
-        title: 'Future expired',
-        endpoint: EModelEndpoint.openAI,
-        expiredAt: new Date(Date.now() + 24 * 60 * 60 * 1000), // 24 hours from now
-        updatedAt: new Date(),
-      });
-
-      // Mock Meili search
-      Conversation.meiliSearch = jest.fn().mockResolvedValue({ hits: [] });
-
-      const result = await getConvosByCursor('user123');
-
-      // Should only return conversations with null or non-existent expiredAt
-      expect(result.conversations).toHaveLength(1);
-      expect(result.conversations[0].conversationId).toBe(nonExpiredConvo.conversationId);
-    });
-
-    it('should filter out expired conversations in getConvosQueried', async () => {
-      // Create test conversations
-      const nonExpiredConvo = await Conversation.create({
-        conversationId: uuidv4(),
-        user: 'user123',
-        title: 'Non-expired',
-        endpoint: EModelEndpoint.openAI,
-        expiredAt: null,
-      });
-
-      const expiredConvo = await Conversation.create({
-        conversationId: uuidv4(),
-        user: 'user123',
-        title: 'Expired',
-        endpoint: EModelEndpoint.openAI,
-        expiredAt: new Date(Date.now() + 24 * 60 * 60 * 1000),
-      });
-
-      const convoIds = [
-        { conversationId: nonExpiredConvo.conversationId },
-        { conversationId: expiredConvo.conversationId },
-      ];
-
-      const result = await getConvosQueried('user123', convoIds);
-
-      // Should only return the non-expired conversation
-      expect(result.conversations).toHaveLength(1);
-      expect(result.conversations[0].conversationId).toBe(nonExpiredConvo.conversationId);
-      expect(result.convoMap[nonExpiredConvo.conversationId]).toBeDefined();
-      expect(result.convoMap[expiredConvo.conversationId]).toBeUndefined();
-    });
-  });
-
-  describe('searchConversation', () => {
-    it('should find a conversation by conversationId', async () => {
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        title: 'Test',
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      const result = await searchConversation(mockConversationData.conversationId);
-
-      expect(result).toBeTruthy();
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.user).toBe('user123');
-      expect(result.title).toBeUndefined(); // Only returns conversationId and user
-    });
-
-    it('should return null if conversation not found', async () => {
-      const result = await searchConversation('non-existent-id');
-      expect(result).toBeNull();
-    });
-  });
-
-  describe('getConvo', () => {
-    it('should retrieve a conversation for a user', async () => {
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        title: 'Test Conversation',
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      const result = await getConvo('user123', mockConversationData.conversationId);
-
-      expect(result.conversationId).toBe(mockConversationData.conversationId);
-      expect(result.user).toBe('user123');
-      expect(result.title).toBe('Test Conversation');
-    });
-
-    it('should return null if conversation not found', async () => {
-      const result = await getConvo('user123', 'non-existent-id');
-      expect(result).toBeNull();
-    });
-  });
-
-  describe('getConvoTitle', () => {
-    it('should return the conversation title', async () => {
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        title: 'Test Title',
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      const result = await getConvoTitle('user123', mockConversationData.conversationId);
-      expect(result).toBe('Test Title');
-    });
-
-    it('should return null if conversation has no title', async () => {
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        title: null,
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      const result = await getConvoTitle('user123', mockConversationData.conversationId);
-      expect(result).toBeNull();
-    });
-
-    it('should return "New Chat" if conversation not found', async () => {
-      const result = await getConvoTitle('user123', 'non-existent-id');
-      expect(result).toBe('New Chat');
-    });
-  });
-
-  describe('getConvoFiles', () => {
-    it('should return conversation files', async () => {
-      const files = ['file1', 'file2'];
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        endpoint: EModelEndpoint.openAI,
-        files,
-      });
-
-      const result = await getConvoFiles(mockConversationData.conversationId);
-      expect(result).toEqual(files);
-    });
-
-    it('should return empty array if no files', async () => {
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      const result = await getConvoFiles(mockConversationData.conversationId);
-      expect(result).toEqual([]);
-    });
-
-    it('should return empty array if conversation not found', async () => {
-      const result = await getConvoFiles('non-existent-id');
-      expect(result).toEqual([]);
-    });
-  });
-
-  describe('deleteConvos', () => {
-    it('should delete conversations and associated messages', async () => {
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user123',
-        title: 'To Delete',
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      deleteMessages.mockResolvedValue({ deletedCount: 5 });
-
-      const result = await deleteConvos('user123', {
-        conversationId: mockConversationData.conversationId,
-      });
-
-      expect(result.deletedCount).toBe(1);
-      expect(result.messages.deletedCount).toBe(5);
-      expect(deleteMessages).toHaveBeenCalledWith({
-        conversationId: { $in: [mockConversationData.conversationId] },
-      });
-
-      // Verify conversation was deleted
-      const deletedConvo = await Conversation.findOne({
-        conversationId: mockConversationData.conversationId,
-      });
-      expect(deletedConvo).toBeNull();
-    });
-
-    it('should throw error if no conversations found', async () => {
-      await expect(deleteConvos('user123', { conversationId: 'non-existent' })).rejects.toThrow(
-        'Conversation not found or already deleted.',
-      );
-    });
-  });
-
-  describe('deleteNullOrEmptyConversations', () => {
-    it('should delete conversations with null, empty, or missing conversationIds', async () => {
-      // Since conversationId is required by the schema, we can't create documents with null/missing IDs
-      // This test should verify the function works when such documents exist (e.g., from data corruption)
-
-      // For this test, let's create a valid conversation and verify the function doesn't delete it
-      await Conversation.create({
-        conversationId: mockConversationData.conversationId,
-        user: 'user4',
-        endpoint: EModelEndpoint.openAI,
-      });
-
-      deleteMessages.mockResolvedValue({ deletedCount: 0 });
-
-      const result = await deleteNullOrEmptyConversations();
-
-      expect(result.conversations.deletedCount).toBe(0); // No invalid conversations to delete
-      expect(result.messages.deletedCount).toBe(0);
-
-      // Verify valid conversation remains
-      const remainingConvos = await Conversation.find({});
-      expect(remainingConvos).toHaveLength(1);
-      expect(remainingConvos[0].conversationId).toBe(mockConversationData.conversationId);
-    });
-  });
-
-  describe('Error Handling', () => {
-    it('should handle database errors in saveConvo', async () => {
-      // Force a database error by disconnecting
-      await mongoose.disconnect();
-
-      const result = await saveConvo(mockReq, mockConversationData);
-
-      expect(result).toEqual({ message: 'Error saving conversation' });
-
-      // Reconnect for other tests
-      await mongoose.connect(mongoServer.getUri());
-    });
-  });
-});

api/models/ConversationTag.js

@@ -239,46 +239,10 @@ const updateTagsForConversation = async (user, conversationId, tags) => {
   }
 };
 
-/**
- * Increments tag counts for existing tags only.
- * @param {string} user - The user ID.
- * @param {string[]} tags - Array of tag names to increment
- * @returns {Promise<void>}
- */
-const bulkIncrementTagCounts = async (user, tags) => {
-  if (!tags || tags.length === 0) {
-    return;
-  }
-
-  try {
-    const uniqueTags = [...new Set(tags.filter(Boolean))];
-    if (uniqueTags.length === 0) {
-      return;
-    }
-
-    const bulkOps = uniqueTags.map((tag) => ({
-      updateOne: {
-        filter: { user, tag },
-        update: { $inc: { count: 1 } },
-      },
-    }));
-
-    const result = await ConversationTag.bulkWrite(bulkOps);
-    if (result && result.modifiedCount > 0) {
-      logger.debug(
-        `user: ${user} | Incremented tag counts - modified ${result.modifiedCount} tags`,
-      );
-    }
-  } catch (error) {
-    logger.error('[bulkIncrementTagCounts] Error incrementing tag counts', error);
-  }
-};
-
 module.exports = {
   getConversationTags,
   createConversationTag,
   updateConversationTag,
   deleteConversationTag,
-  bulkIncrementTagCounts,
   updateTagsForConversation,
 };

api/models/File.js

@@ -1,5 +1,5 @@
 const { logger } = require('@librechat/data-schemas');
-const { EToolResources, FileContext } = require('librechat-data-provider');
+const { EToolResources } = require('librechat-data-provider');
 const { File } = require('~/db/models');
 
 /**
@@ -32,19 +32,19 @@ const getFiles = async (filter, _sortOptions, selectFields = { text: 0 }) => {
  * @returns {Promise<Array<MongoFile>>} Files that match the criteria
  */
 const getToolFilesByIds = async (fileIds, toolResourceSet) => {
-  if (!fileIds || !fileIds.length || !toolResourceSet?.size) {
+  if (!fileIds || !fileIds.length) {
     return [];
   }
 
   try {
     const filter = {
       file_id: { $in: fileIds },
-      $or: [],
     };
 
-    if (toolResourceSet.has(EToolResources.context)) {
-      filter.$or.push({ text: { $exists: true, $ne: null }, context: FileContext.agents });
+    if (toolResourceSet.size) {
+      filter.$or = [];
     }
+
     if (toolResourceSet.has(EToolResources.file_search)) {
       filter.$or.push({ embedded: true });
     }

api/models/File.spec.js

@@ -1,621 +0,0 @@
-const mongoose = require('mongoose');
-const { v4: uuidv4 } = require('uuid');
-const { createModels } = require('@librechat/data-schemas');
-const { MongoMemoryServer } = require('mongodb-memory-server');
-const {
-  SystemRoles,
-  ResourceType,
-  AccessRoleIds,
-  PrincipalType,
-} = require('librechat-data-provider');
-const { grantPermission } = require('~/server/services/PermissionService');
-const { getFiles, createFile } = require('./File');
-const { seedDefaultRoles } = require('~/models');
-const { createAgent } = require('./Agent');
-
-let File;
-let Agent;
-let AclEntry;
-let User;
-let modelsToCleanup = [];
-
-describe('File Access Control', () => {
-  let mongoServer;
-
-  beforeAll(async () => {
-    mongoServer = await MongoMemoryServer.create();
-    const mongoUri = mongoServer.getUri();
-    await mongoose.connect(mongoUri);
-
-    // Initialize all models
-    const models = createModels(mongoose);
-
-    // Track which models we're adding
-    modelsToCleanup = Object.keys(models);
-
-    // Register models on mongoose.models so methods can access them
-    const dbModels = require('~/db/models');
-    Object.assign(mongoose.models, dbModels);
-
-    File = dbModels.File;
-    Agent = dbModels.Agent;
-    AclEntry = dbModels.AclEntry;
-    User = dbModels.User;
-
-    // Seed default roles
-    await seedDefaultRoles();
-  });
-
-  afterAll(async () => {
-    // Clean up all collections before disconnecting
-    const collections = mongoose.connection.collections;
-    for (const key in collections) {
-      await collections[key].deleteMany({});
-    }
-
-    // Clear only the models we added
-    for (const modelName of modelsToCleanup) {
-      if (mongoose.models[modelName]) {
-        delete mongoose.models[modelName];
-      }
-    }
-
-    await mongoose.disconnect();
-    await mongoServer.stop();
-  });
-
-  beforeEach(async () => {
-    await File.deleteMany({});
-    await Agent.deleteMany({});
-    await AclEntry.deleteMany({});
-    await User.deleteMany({});
-    // Don't delete AccessRole as they are seeded defaults needed for tests
-  });
-
-  describe('hasAccessToFilesViaAgent', () => {
-    it('should efficiently check access for multiple files at once', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const authorId = new mongoose.Types.ObjectId();
-      const agentId = uuidv4();
-      const fileIds = [uuidv4(), uuidv4(), uuidv4(), uuidv4()];
-
-      // Create users
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create files
-      for (const fileId of fileIds) {
-        await createFile({
-          user: authorId,
-          file_id: fileId,
-          filename: `file-${fileId}.txt`,
-          filepath: `/uploads/${fileId}`,
-        });
-      }
-
-      // Create agent with only first two files attached
-      const agent = await createAgent({
-        id: agentId,
-        name: 'Test Agent',
-        author: authorId,
-        model: 'gpt-4',
-        provider: 'openai',
-        tool_resources: {
-          file_search: {
-            file_ids: [fileIds[0], fileIds[1]],
-          },
-        },
-      });
-
-      // Grant EDIT permission to user on the agent
-      await grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: userId,
-        resourceType: ResourceType.AGENT,
-        resourceId: agent._id,
-        accessRoleId: AccessRoleIds.AGENT_EDITOR,
-        grantedBy: authorId,
-      });
-
-      // Check access for all files
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-      const accessMap = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: SystemRoles.USER,
-        fileIds,
-        agentId: agent.id, // Use agent.id which is the custom UUID
-      });
-
-      // Should have access only to the first two files
-      expect(accessMap.get(fileIds[0])).toBe(true);
-      expect(accessMap.get(fileIds[1])).toBe(true);
-      expect(accessMap.get(fileIds[2])).toBe(false);
-      expect(accessMap.get(fileIds[3])).toBe(false);
-    });
-
-    it('should grant access to all files when user is the agent author', async () => {
-      const authorId = new mongoose.Types.ObjectId();
-      const agentId = uuidv4();
-      const fileIds = [uuidv4(), uuidv4(), uuidv4()];
-
-      // Create author user
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create agent
-      await createAgent({
-        id: agentId,
-        name: 'Test Agent',
-        author: authorId,
-        model: 'gpt-4',
-        provider: 'openai',
-        tool_resources: {
-          file_search: {
-            file_ids: [fileIds[0]], // Only one file attached
-          },
-        },
-      });
-
-      // Check access as the author
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-      const accessMap = await hasAccessToFilesViaAgent({
-        userId: authorId,
-        role: SystemRoles.USER,
-        fileIds,
-        agentId,
-      });
-
-      // Author should have access to all files
-      expect(accessMap.get(fileIds[0])).toBe(true);
-      expect(accessMap.get(fileIds[1])).toBe(true);
-      expect(accessMap.get(fileIds[2])).toBe(true);
-    });
-
-    it('should handle non-existent agent gracefully', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const fileIds = [uuidv4(), uuidv4()];
-
-      // Create user
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-      const accessMap = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: SystemRoles.USER,
-        fileIds,
-        agentId: 'non-existent-agent',
-      });
-
-      // Should have no access to any files
-      expect(accessMap.get(fileIds[0])).toBe(false);
-      expect(accessMap.get(fileIds[1])).toBe(false);
-    });
-
-    it('should deny access when user only has VIEW permission and needs access for deletion', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const authorId = new mongoose.Types.ObjectId();
-      const agentId = uuidv4();
-      const fileIds = [uuidv4(), uuidv4()];
-
-      // Create users
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create agent with files
-      const agent = await createAgent({
-        id: agentId,
-        name: 'View-Only Agent',
-        author: authorId,
-        model: 'gpt-4',
-        provider: 'openai',
-        tool_resources: {
-          file_search: {
-            file_ids: fileIds,
-          },
-        },
-      });
-
-      // Grant only VIEW permission to user on the agent
-      await grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: userId,
-        resourceType: ResourceType.AGENT,
-        resourceId: agent._id,
-        accessRoleId: AccessRoleIds.AGENT_VIEWER,
-        grantedBy: authorId,
-      });
-
-      // Check access for files
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-      const accessMap = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: SystemRoles.USER,
-        fileIds,
-        agentId,
-        isDelete: true,
-      });
-
-      // Should have no access to any files when only VIEW permission
-      expect(accessMap.get(fileIds[0])).toBe(false);
-      expect(accessMap.get(fileIds[1])).toBe(false);
-    });
-
-    it('should grant access when user has VIEW permission', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const authorId = new mongoose.Types.ObjectId();
-      const agentId = uuidv4();
-      const fileIds = [uuidv4(), uuidv4()];
-
-      // Create users
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create agent with files
-      const agent = await createAgent({
-        id: agentId,
-        name: 'View-Only Agent',
-        author: authorId,
-        model: 'gpt-4',
-        provider: 'openai',
-        tool_resources: {
-          file_search: {
-            file_ids: fileIds,
-          },
-        },
-      });
-
-      // Grant only VIEW permission to user on the agent
-      await grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: userId,
-        resourceType: ResourceType.AGENT,
-        resourceId: agent._id,
-        accessRoleId: AccessRoleIds.AGENT_VIEWER,
-        grantedBy: authorId,
-      });
-
-      // Check access for files
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-      const accessMap = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: SystemRoles.USER,
-        fileIds,
-        agentId,
-      });
-
-      expect(accessMap.get(fileIds[0])).toBe(true);
-      expect(accessMap.get(fileIds[1])).toBe(true);
-    });
-  });
-
-  describe('getFiles with agent access control', () => {
-    test('should return files owned by user and files accessible through agent', async () => {
-      const authorId = new mongoose.Types.ObjectId();
-      const userId = new mongoose.Types.ObjectId();
-      const agentId = `agent_${uuidv4()}`;
-      const ownedFileId = `file_${uuidv4()}`;
-      const sharedFileId = `file_${uuidv4()}`;
-      const inaccessibleFileId = `file_${uuidv4()}`;
-
-      // Create users
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create agent with shared file
-      const agent = await createAgent({
-        id: agentId,
-        name: 'Shared Agent',
-        provider: 'test',
-        model: 'test-model',
-        author: authorId,
-        tool_resources: {
-          file_search: {
-            file_ids: [sharedFileId],
-          },
-        },
-      });
-
-      // Grant EDIT permission to user on the agent
-      await grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: userId,
-        resourceType: ResourceType.AGENT,
-        resourceId: agent._id,
-        accessRoleId: AccessRoleIds.AGENT_EDITOR,
-        grantedBy: authorId,
-      });
-
-      // Create files
-      await createFile({
-        file_id: ownedFileId,
-        user: userId,
-        filename: 'owned.txt',
-        filepath: '/uploads/owned.txt',
-        type: 'text/plain',
-        bytes: 100,
-      });
-
-      await createFile({
-        file_id: sharedFileId,
-        user: authorId,
-        filename: 'shared.txt',
-        filepath: '/uploads/shared.txt',
-        type: 'text/plain',
-        bytes: 200,
-        embedded: true,
-      });
-
-      await createFile({
-        file_id: inaccessibleFileId,
-        user: authorId,
-        filename: 'inaccessible.txt',
-        filepath: '/uploads/inaccessible.txt',
-        type: 'text/plain',
-        bytes: 300,
-      });
-
-      // Get all files first
-      const allFiles = await getFiles(
-        { file_id: { $in: [ownedFileId, sharedFileId, inaccessibleFileId] } },
-        null,
-        { text: 0 },
-      );
-
-      // Then filter by access control
-      const { filterFilesByAgentAccess } = require('~/server/services/Files/permissions');
-      const files = await filterFilesByAgentAccess({
-        files: allFiles,
-        userId: userId,
-        role: SystemRoles.USER,
-        agentId,
-      });
-
-      expect(files).toHaveLength(2);
-      expect(files.map((f) => f.file_id)).toContain(ownedFileId);
-      expect(files.map((f) => f.file_id)).toContain(sharedFileId);
-      expect(files.map((f) => f.file_id)).not.toContain(inaccessibleFileId);
-    });
-
-    test('should return all files when no userId/agentId provided', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const fileId1 = `file_${uuidv4()}`;
-      const fileId2 = `file_${uuidv4()}`;
-
-      await createFile({
-        file_id: fileId1,
-        user: userId,
-        filename: 'file1.txt',
-        filepath: '/uploads/file1.txt',
-        type: 'text/plain',
-        bytes: 100,
-      });
-
-      await createFile({
-        file_id: fileId2,
-        user: new mongoose.Types.ObjectId(),
-        filename: 'file2.txt',
-        filepath: '/uploads/file2.txt',
-        type: 'text/plain',
-        bytes: 200,
-      });
-
-      const files = await getFiles({ file_id: { $in: [fileId1, fileId2] } });
-      expect(files).toHaveLength(2);
-    });
-  });
-
-  describe('Role-based file permissions', () => {
-    it('should optimize permission checks when role is provided', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const authorId = new mongoose.Types.ObjectId();
-      const agentId = uuidv4();
-      const fileIds = [uuidv4(), uuidv4()];
-
-      // Create users
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-        role: 'ADMIN', // User has ADMIN role
-      });
-
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create files
-      for (const fileId of fileIds) {
-        await createFile({
-          file_id: fileId,
-          user: authorId,
-          filename: `${fileId}.txt`,
-          filepath: `/uploads/${fileId}.txt`,
-          type: 'text/plain',
-          bytes: 100,
-        });
-      }
-
-      // Create agent with files
-      const agent = await createAgent({
-        id: agentId,
-        name: 'Test Agent',
-        author: authorId,
-        model: 'gpt-4',
-        provider: 'openai',
-        tool_resources: {
-          file_search: {
-            file_ids: fileIds,
-          },
-        },
-      });
-
-      // Grant permission to ADMIN role
-      await grantPermission({
-        principalType: PrincipalType.ROLE,
-        principalId: 'ADMIN',
-        resourceType: ResourceType.AGENT,
-        resourceId: agent._id,
-        accessRoleId: AccessRoleIds.AGENT_EDITOR,
-        grantedBy: authorId,
-      });
-
-      // Check access with role provided (should avoid DB query)
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-      const accessMapWithRole = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: 'ADMIN',
-        fileIds,
-        agentId: agent.id,
-      });
-
-      // User should have access through their ADMIN role
-      expect(accessMapWithRole.get(fileIds[0])).toBe(true);
-      expect(accessMapWithRole.get(fileIds[1])).toBe(true);
-
-      // Check access without role (will query DB to get user's role)
-      const accessMapWithoutRole = await hasAccessToFilesViaAgent({
-        userId: userId,
-        fileIds,
-        agentId: agent.id,
-      });
-
-      // Should have same result
-      expect(accessMapWithoutRole.get(fileIds[0])).toBe(true);
-      expect(accessMapWithoutRole.get(fileIds[1])).toBe(true);
-    });
-
-    it('should deny access when user role changes', async () => {
-      const userId = new mongoose.Types.ObjectId();
-      const authorId = new mongoose.Types.ObjectId();
-      const agentId = uuidv4();
-      const fileId = uuidv4();
-
-      // Create users
-      await User.create({
-        _id: userId,
-        email: 'user@example.com',
-        emailVerified: true,
-        provider: 'local',
-        role: 'EDITOR',
-      });
-
-      await User.create({
-        _id: authorId,
-        email: 'author@example.com',
-        emailVerified: true,
-        provider: 'local',
-      });
-
-      // Create file
-      await createFile({
-        file_id: fileId,
-        user: authorId,
-        filename: 'test.txt',
-        filepath: '/uploads/test.txt',
-        type: 'text/plain',
-        bytes: 100,
-      });
-
-      // Create agent
-      const agent = await createAgent({
-        id: agentId,
-        name: 'Test Agent',
-        author: authorId,
-        model: 'gpt-4',
-        provider: 'openai',
-        tool_resources: {
-          file_search: {
-            file_ids: [fileId],
-          },
-        },
-      });
-
-      // Grant permission to EDITOR role only
-      await grantPermission({
-        principalType: PrincipalType.ROLE,
-        principalId: 'EDITOR',
-        resourceType: ResourceType.AGENT,
-        resourceId: agent._id,
-        accessRoleId: AccessRoleIds.AGENT_EDITOR,
-        grantedBy: authorId,
-      });
-
-      const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
-
-      // Check with EDITOR role - should have access
-      const accessAsEditor = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: 'EDITOR',
-        fileIds: [fileId],
-        agentId: agent.id,
-      });
-      expect(accessAsEditor.get(fileId)).toBe(true);
-
-      // Simulate role change to USER - should lose access
-      const accessAsUser = await hasAccessToFilesViaAgent({
-        userId: userId,
-        role: SystemRoles.USER,
-        fileIds: [fileId],
-        agentId: agent.id,
-      });
-      expect(accessAsUser.get(fileId)).toBe(false);
-    });
-  });
-});

api/models/Message.js

@@ -1,6 +1,5 @@
 const { z } = require('zod');
 const { logger } = require('@librechat/data-schemas');
-const { createTempChatExpirationDate } = require('@librechat/api');
 const { Message } = require('~/db/models');
 
 const idSchema = z.string().uuid();
@@ -10,7 +9,7 @@ const idSchema = z.string().uuid();
  *
  * @async
  * @function saveMessage
- * @param {ServerRequest} req - The request object containing user information.
+ * @param {Express.Request} req - The request object containing user information.
  * @param {Object} params - The message data object.
  * @param {string} params.endpoint - The endpoint where the message originated.
  * @param {string} params.iconURL - The URL of the sender's icon.
@@ -55,14 +54,9 @@ async function saveMessage(req, params, metadata) {
     };
 
     if (req?.body?.isTemporary) {
-      try {
-        const appConfig = req.config;
-        update.expiredAt = createTempChatExpirationDate(appConfig?.interfaceConfig);
-      } catch (err) {
-        logger.error('Error creating temporary chat expiration date:', err);
-        logger.info(`---\`saveMessage\` context: ${metadata?.context}`);
-        update.expiredAt = null;
-      }
+      const expiredAt = new Date();
+      expiredAt.setDate(expiredAt.getDate() + 30);
+      update.expiredAt = expiredAt;
     } else {
       update.expiredAt = null;
     }

api/models/Message.spec.js

@@ -1,20 +1,17 @@
 const mongoose = require('mongoose');
+const { MongoMemoryServer } = require('mongodb-memory-server');
 const { v4: uuidv4 } = require('uuid');
 const { messageSchema } = require('@librechat/data-schemas');
-const { MongoMemoryServer } = require('mongodb-memory-server');
 
 const {
   saveMessage,
   getMessages,
   updateMessage,
   deleteMessages,
-  bulkSaveMessages,
   updateMessageText,
   deleteMessagesSince,
 } = require('./Message');
 
-jest.mock('~/server/services/Config/app');
-
 /**
  * @type {import('mongoose').Model<import('@librechat/data-schemas').IMessage>}
  */
@@ -43,11 +40,6 @@ describe('Message Operations', () => {
 
     mockReq = {
       user: { id: 'user123' },
-      config: {
-        interfaceConfig: {
-          temporaryChatRetention: 24, // Default 24 hours
-        },
-      },
     };
 
     mockMessageData = {
@@ -125,21 +117,21 @@ describe('Message Operations', () => {
       const conversationId = uuidv4();
 
       // Create multiple messages in the same conversation
-      await saveMessage(mockReq, {
+      const message1 = await saveMessage(mockReq, {
         messageId: 'msg1',
         conversationId,
         text: 'First message',
         user: 'user123',
       });
 
-      await saveMessage(mockReq, {
+      const message2 = await saveMessage(mockReq, {
         messageId: 'msg2',
         conversationId,
         text: 'Second message',
         user: 'user123',
       });
 
-      await saveMessage(mockReq, {
+      const message3 = await saveMessage(mockReq, {
         messageId: 'msg3',
         conversationId,
         text: 'Third message',
@@ -322,255 +314,4 @@ describe('Message Operations', () => {
       expect(messages[0].text).toBe('Victim message');
     });
   });
-
-  describe('isTemporary message handling', () => {
-    beforeEach(() => {
-      // Reset mocks before each test
-      jest.clearAllMocks();
-    });
-
-    it('should save a message with expiredAt when isTemporary is true', async () => {
-      // Mock app config with 24 hour retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 24;
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveMessage(mockReq, mockMessageData);
-      const afterSave = new Date();
-
-      expect(result.messageId).toBe('msg123');
-      expect(result.expiredAt).toBeDefined();
-      expect(result.expiredAt).toBeInstanceOf(Date);
-
-      // Verify expiredAt is approximately 24 hours in the future
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 24 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        new Date(afterSave.getTime() + 24 * 60 * 60 * 1000 + 1000).getTime(),
-      );
-    });
-
-    it('should save a message without expiredAt when isTemporary is false', async () => {
-      mockReq.body = { isTemporary: false };
-
-      const result = await saveMessage(mockReq, mockMessageData);
-
-      expect(result.messageId).toBe('msg123');
-      expect(result.expiredAt).toBeNull();
-    });
-
-    it('should save a message without expiredAt when isTemporary is not provided', async () => {
-      // No isTemporary in body
-      mockReq.body = {};
-
-      const result = await saveMessage(mockReq, mockMessageData);
-
-      expect(result.messageId).toBe('msg123');
-      expect(result.expiredAt).toBeNull();
-    });
-
-    it('should use custom retention period from config', async () => {
-      // Mock app config with 48 hour retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 48;
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveMessage(mockReq, mockMessageData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Verify expiredAt is approximately 48 hours in the future
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 48 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should handle minimum retention period (1 hour)', async () => {
-      // Mock app config with less than minimum retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 0.5; // Half hour - should be clamped to 1 hour
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveMessage(mockReq, mockMessageData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Verify expiredAt is approximately 1 hour in the future (minimum)
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 1 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should handle maximum retention period (8760 hours)', async () => {
-      // Mock app config with more than maximum retention
-      mockReq.config.interfaceConfig.temporaryChatRetention = 10000; // Should be clamped to 8760 hours
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveMessage(mockReq, mockMessageData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Verify expiredAt is approximately 8760 hours (1 year) in the future
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 8760 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should handle missing config gracefully', async () => {
-      // Simulate missing config - should use default retention period
-      delete mockReq.config;
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveMessage(mockReq, mockMessageData);
-      const afterSave = new Date();
-
-      // Should still save the message with default retention period (30 days)
-      expect(result.messageId).toBe('msg123');
-      expect(result.expiredAt).toBeDefined();
-      expect(result.expiredAt).toBeInstanceOf(Date);
-
-      // Verify expiredAt is approximately 30 days in the future (720 hours)
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 720 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        new Date(afterSave.getTime() + 720 * 60 * 60 * 1000 + 1000).getTime(),
-      );
-    });
-
-    it('should use default retention when config is not provided', async () => {
-      // Mock getAppConfig to return empty config
-      mockReq.config = {}; // Empty config
-
-      mockReq.body = { isTemporary: true };
-
-      const beforeSave = new Date();
-      const result = await saveMessage(mockReq, mockMessageData);
-
-      expect(result.expiredAt).toBeDefined();
-
-      // Default retention is 30 days (720 hours)
-      const expectedExpirationTime = new Date(beforeSave.getTime() + 30 * 24 * 60 * 60 * 1000);
-      const actualExpirationTime = new Date(result.expiredAt);
-
-      expect(actualExpirationTime.getTime()).toBeGreaterThanOrEqual(
-        expectedExpirationTime.getTime() - 1000,
-      );
-      expect(actualExpirationTime.getTime()).toBeLessThanOrEqual(
-        expectedExpirationTime.getTime() + 1000,
-      );
-    });
-
-    it('should not update expiredAt on message update', async () => {
-      // First save a temporary message
-      mockReq.config.interfaceConfig.temporaryChatRetention = 24;
-
-      mockReq.body = { isTemporary: true };
-      const savedMessage = await saveMessage(mockReq, mockMessageData);
-      const originalExpiredAt = savedMessage.expiredAt;
-
-      // Now update the message without isTemporary flag
-      mockReq.body = {};
-      const updatedMessage = await updateMessage(mockReq, {
-        messageId: 'msg123',
-        text: 'Updated text',
-      });
-
-      // expiredAt should not be in the returned updated message object
-      expect(updatedMessage.expiredAt).toBeUndefined();
-
-      // Verify in database that expiredAt wasn't changed
-      const dbMessage = await Message.findOne({ messageId: 'msg123', user: 'user123' });
-      expect(dbMessage.expiredAt).toEqual(originalExpiredAt);
-    });
-
-    it('should preserve expiredAt when saving existing temporary message', async () => {
-      // First save a temporary message
-      mockReq.config.interfaceConfig.temporaryChatRetention = 24;
-
-      mockReq.body = { isTemporary: true };
-      const firstSave = await saveMessage(mockReq, mockMessageData);
-      const originalExpiredAt = firstSave.expiredAt;
-
-      // Wait a bit to ensure time difference
-      await new Promise((resolve) => setTimeout(resolve, 100));
-
-      // Save again with same messageId but different text
-      const updatedData = { ...mockMessageData, text: 'Updated text' };
-      const secondSave = await saveMessage(mockReq, updatedData);
-
-      // Should update text but create new expiredAt
-      expect(secondSave.text).toBe('Updated text');
-      expect(secondSave.expiredAt).toBeDefined();
-      expect(new Date(secondSave.expiredAt).getTime()).toBeGreaterThan(
-        new Date(originalExpiredAt).getTime(),
-      );
-    });
-
-    it('should handle bulk operations with temporary messages', async () => {
-      // This test verifies bulkSaveMessages doesn't interfere with expiredAt
-      const messages = [
-        {
-          messageId: 'bulk1',
-          conversationId: uuidv4(),
-          text: 'Bulk message 1',
-          user: 'user123',
-          expiredAt: new Date(Date.now() + 24 * 60 * 60 * 1000),
-        },
-        {
-          messageId: 'bulk2',
-          conversationId: uuidv4(),
-          text: 'Bulk message 2',
-          user: 'user123',
-          expiredAt: null,
-        },
-      ];
-
-      await bulkSaveMessages(messages);
-
-      const savedMessages = await Message.find({
-        messageId: { $in: ['bulk1', 'bulk2'] },
-      }).lean();
-
-      expect(savedMessages).toHaveLength(2);
-
-      const bulk1 = savedMessages.find((m) => m.messageId === 'bulk1');
-      const bulk2 = savedMessages.find((m) => m.messageId === 'bulk2');
-
-      expect(bulk1.expiredAt).toBeDefined();
-      expect(bulk2.expiredAt).toBeNull();
-    });
-  });
 });

api/models/Prompt.js

@@ -1,18 +1,12 @@
 const { ObjectId } = require('mongodb');
 const { logger } = require('@librechat/data-schemas');
+const { SystemRoles, SystemCategories, Constants } = require('librechat-data-provider');
 const {
-  Constants,
-  SystemRoles,
-  ResourceType,
-  SystemCategories,
-} = require('librechat-data-provider');
-const {
-  removeGroupFromAllProjects,
-  removeGroupIdsFromProject,
-  addGroupIdsToProject,
   getProjectByName,
+  addGroupIdsToProject,
+  removeGroupIdsFromProject,
+  removeGroupFromAllProjects,
 } = require('./Project');
-const { removeAllPermissions } = require('~/server/services/PermissionService');
 const { PromptGroup, Prompt } = require('~/db/models');
 const { escapeRegExp } = require('~/server/utils');
 
@@ -106,6 +100,10 @@ const getAllPromptGroups = async (req, filter) => {
   try {
     const { name, ...query } = filter;
 
+    if (!query.author) {
+      throw new Error('Author is required');
+    }
+
     let searchShared = true;
     let searchSharedOnly = false;
     if (name) {
@@ -155,6 +153,10 @@ const getPromptGroups = async (req, filter) => {
     const validatedPageNumber = Math.max(parseInt(pageNumber, 10), 1);
     const validatedPageSize = Math.max(parseInt(pageSize, 10), 1);
 
+    if (!query.author) {
+      throw new Error('Author is required');
+    }
+
     let searchShared = true;
     let searchSharedOnly = false;
     if (name) {
@@ -219,16 +221,12 @@ const getPromptGroups = async (req, filter) => {
  * @returns {Promise<TDeletePromptGroupResponse>}
  */
 const deletePromptGroup = async ({ _id, author, role }) => {
-  // Build query - with ACL, author is optional
-  const query = { _id };
-  const groupQuery = { groupId: new ObjectId(_id) };
-
-  // Legacy: Add author filter if provided (backward compatibility)
-  if (author && role !== SystemRoles.ADMIN) {
-    query.author = author;
-    groupQuery.author = author;
+  const query = { _id, author };
+  const groupQuery = { groupId: new ObjectId(_id), author };
+  if (role === SystemRoles.ADMIN) {
+    delete query.author;
+    delete groupQuery.author;
   }
-
   const response = await PromptGroup.deleteOne(query);
 
   if (!response || response.deletedCount === 0) {
@@ -237,140 +235,13 @@ const deletePromptGroup = async ({ _id, author, role }) => {
 
   await Prompt.deleteMany(groupQuery);
   await removeGroupFromAllProjects(_id);
-
-  try {
-    await removeAllPermissions({ resourceType: ResourceType.PROMPTGROUP, resourceId: _id });
-  } catch (error) {
-    logger.error('Error removing promptGroup permissions:', error);
-  }
-
   return { message: 'Prompt group deleted successfully' };
 };
 
-/**
- * Get prompt groups by accessible IDs with optional cursor-based pagination.
- * @param {Object} params - The parameters for getting accessible prompt groups.
- * @param {Array} [params.accessibleIds] - Array of prompt group ObjectIds the user has ACL access to.
- * @param {Object} [params.otherParams] - Additional query parameters (including author filter).
- * @param {number} [params.limit] - Number of prompt groups to return (max 100). If not provided, returns all prompt groups.
- * @param {string} [params.after] - Cursor for pagination - get prompt groups after this cursor. // base64 encoded JSON string with updatedAt and _id.
- * @returns {Promise<Object>} A promise that resolves to an object containing the prompt groups data and pagination info.
- */
-async function getListPromptGroupsByAccess({
-  accessibleIds = [],
-  otherParams = {},
-  limit = null,
-  after = null,
-}) {
-  const isPaginated = limit !== null && limit !== undefined;
-  const normalizedLimit = isPaginated ? Math.min(Math.max(1, parseInt(limit) || 20), 100) : null;
-
-  // Build base query combining ACL accessible prompt groups with other filters
-  const baseQuery = { ...otherParams, _id: { $in: accessibleIds } };
-
-  // Add cursor condition
-  if (after && typeof after === 'string' && after !== 'undefined' && after !== 'null') {
-    try {
-      const cursor = JSON.parse(Buffer.from(after, 'base64').toString('utf8'));
-      const { updatedAt, _id } = cursor;
-
-      const cursorCondition = {
-        $or: [
-          { updatedAt: { $lt: new Date(updatedAt) } },
-          { updatedAt: new Date(updatedAt), _id: { $gt: new ObjectId(_id) } },
-        ],
-      };
-
-      // Merge cursor condition with base query
-      if (Object.keys(baseQuery).length > 0) {
-        baseQuery.$and = [{ ...baseQuery }, cursorCondition];
-        // Remove the original conditions from baseQuery to avoid duplication
-        Object.keys(baseQuery).forEach((key) => {
-          if (key !== '$and') delete baseQuery[key];
-        });
-      } else {
-        Object.assign(baseQuery, cursorCondition);
-      }
-    } catch (error) {
-      logger.warn('Invalid cursor:', error.message);
-    }
-  }
-
-  // Build aggregation pipeline
-  const pipeline = [{ $match: baseQuery }, { $sort: { updatedAt: -1, _id: 1 } }];
-
-  // Only apply limit if pagination is requested
-  if (isPaginated) {
-    pipeline.push({ $limit: normalizedLimit + 1 });
-  }
-
-  // Add lookup for production prompt
-  pipeline.push(
-    {
-      $lookup: {
-        from: 'prompts',
-        localField: 'productionId',
-        foreignField: '_id',
-        as: 'productionPrompt',
-      },
-    },
-    { $unwind: { path: '$productionPrompt', preserveNullAndEmptyArrays: true } },
-    {
-      $project: {
-        name: 1,
-        numberOfGenerations: 1,
-        oneliner: 1,
-        category: 1,
-        projectIds: 1,
-        productionId: 1,
-        author: 1,
-        authorName: 1,
-        createdAt: 1,
-        updatedAt: 1,
-        'productionPrompt.prompt': 1,
-      },
-    },
-  );
-
-  const promptGroups = await PromptGroup.aggregate(pipeline).exec();
-
-  const hasMore = isPaginated ? promptGroups.length > normalizedLimit : false;
-  const data = (isPaginated ? promptGroups.slice(0, normalizedLimit) : promptGroups).map(
-    (group) => {
-      if (group.author) {
-        group.author = group.author.toString();
-      }
-      return group;
-    },
-  );
-
-  // Generate next cursor only if paginated
-  let nextCursor = null;
-  if (isPaginated && hasMore && data.length > 0) {
-    const lastGroup = promptGroups[normalizedLimit - 1];
-    nextCursor = Buffer.from(
-      JSON.stringify({
-        updatedAt: lastGroup.updatedAt.toISOString(),
-        _id: lastGroup._id.toString(),
-      }),
-    ).toString('base64');
-  }
-
-  return {
-    object: 'list',
-    data,
-    first_id: data.length > 0 ? data[0]._id.toString() : null,
-    last_id: data.length > 0 ? data[data.length - 1]._id.toString() : null,
-    has_more: hasMore,
-    after: nextCursor,
-  };
-}
-
 module.exports = {
   getPromptGroups,
   deletePromptGroup,
   getAllPromptGroups,
-  getListPromptGroupsByAccess,
   /**
    * Create a prompt and its respective group
    * @param {TCreatePromptRecord} saveData
@@ -559,16 +430,6 @@ module.exports = {
       .lean();
 
     if (remainingPrompts.length === 0) {
-      // Remove all ACL entries for the promptGroup when deleting the last prompt
-      try {
-        await removeAllPermissions({
-          resourceType: ResourceType.PROMPTGROUP,
-          resourceId: groupId,
-        });
-      } catch (error) {
-        logger.error('Error removing promptGroup permissions:', error);
-      }
-
       await PromptGroup.deleteOne({ _id: groupId });
       await removeGroupFromAllProjects(groupId);
 

api/models/Prompt.spec.js

@@ -1,564 +0,0 @@
-const mongoose = require('mongoose');
-const { ObjectId } = require('mongodb');
-const { logger } = require('@librechat/data-schemas');
-const { MongoMemoryServer } = require('mongodb-memory-server');
-const {
-  SystemRoles,
-  ResourceType,
-  AccessRoleIds,
-  PrincipalType,
-  PermissionBits,
-} = require('librechat-data-provider');
-
-// Mock the config/connect module to prevent connection attempts during tests
-jest.mock('../../config/connect', () => jest.fn().mockResolvedValue(true));
-
-const dbModels = require('~/db/models');
-
-// Disable console for tests
-logger.silent = true;
-
-let mongoServer;
-let Prompt, PromptGroup, AclEntry, AccessRole, User, Group, Project;
-let promptFns, permissionService;
-let testUsers, testGroups, testRoles;
-
-beforeAll(async () => {
-  // Set up MongoDB memory server
-  mongoServer = await MongoMemoryServer.create();
-  const mongoUri = mongoServer.getUri();
-  await mongoose.connect(mongoUri);
-
-  // Initialize models
-  Prompt = dbModels.Prompt;
-  PromptGroup = dbModels.PromptGroup;
-  AclEntry = dbModels.AclEntry;
-  AccessRole = dbModels.AccessRole;
-  User = dbModels.User;
-  Group = dbModels.Group;
-  Project = dbModels.Project;
-
-  promptFns = require('~/models/Prompt');
-  permissionService = require('~/server/services/PermissionService');
-
-  // Create test data
-  await setupTestData();
-});
-
-afterAll(async () => {
-  await mongoose.disconnect();
-  await mongoServer.stop();
-  jest.clearAllMocks();
-});
-
-async function setupTestData() {
-  // Create access roles for promptGroups
-  testRoles = {
-    viewer: await AccessRole.create({
-      accessRoleId: AccessRoleIds.PROMPTGROUP_VIEWER,
-      name: 'Viewer',
-      description: 'Can view promptGroups',
-      resourceType: ResourceType.PROMPTGROUP,
-      permBits: PermissionBits.VIEW,
-    }),
-    editor: await AccessRole.create({
-      accessRoleId: AccessRoleIds.PROMPTGROUP_EDITOR,
-      name: 'Editor',
-      description: 'Can view and edit promptGroups',
-      resourceType: ResourceType.PROMPTGROUP,
-      permBits: PermissionBits.VIEW | PermissionBits.EDIT,
-    }),
-    owner: await AccessRole.create({
-      accessRoleId: AccessRoleIds.PROMPTGROUP_OWNER,
-      name: 'Owner',
-      description: 'Full control over promptGroups',
-      resourceType: ResourceType.PROMPTGROUP,
-      permBits:
-        PermissionBits.VIEW | PermissionBits.EDIT | PermissionBits.DELETE | PermissionBits.SHARE,
-    }),
-  };
-
-  // Create test users
-  testUsers = {
-    owner: await User.create({
-      name: 'Prompt Owner',
-      email: 'owner@example.com',
-      role: SystemRoles.USER,
-    }),
-    editor: await User.create({
-      name: 'Prompt Editor',
-      email: 'editor@example.com',
-      role: SystemRoles.USER,
-    }),
-    viewer: await User.create({
-      name: 'Prompt Viewer',
-      email: 'viewer@example.com',
-      role: SystemRoles.USER,
-    }),
-    admin: await User.create({
-      name: 'Admin User',
-      email: 'admin@example.com',
-      role: SystemRoles.ADMIN,
-    }),
-    noAccess: await User.create({
-      name: 'No Access User',
-      email: 'noaccess@example.com',
-      role: SystemRoles.USER,
-    }),
-  };
-
-  // Create test groups
-  testGroups = {
-    editors: await Group.create({
-      name: 'Prompt Editors',
-      description: 'Group with editor access',
-    }),
-    viewers: await Group.create({
-      name: 'Prompt Viewers',
-      description: 'Group with viewer access',
-    }),
-  };
-
-  await Project.create({
-    name: 'Global',
-    description: 'Global project',
-    promptGroupIds: [],
-  });
-}
-
-describe('Prompt ACL Permissions', () => {
-  describe('Creating Prompts with Permissions', () => {
-    it('should grant owner permissions when creating a prompt', async () => {
-      // First create a group
-      const testGroup = await PromptGroup.create({
-        name: 'Test Group',
-        category: 'testing',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new mongoose.Types.ObjectId(),
-      });
-
-      const promptData = {
-        prompt: {
-          prompt: 'Test prompt content',
-          name: 'Test Prompt',
-          type: 'text',
-          groupId: testGroup._id,
-        },
-        author: testUsers.owner._id,
-      };
-
-      await promptFns.savePrompt(promptData);
-
-      // Manually grant permissions as would happen in the route
-      await permissionService.grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: testUsers.owner._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_OWNER,
-        grantedBy: testUsers.owner._id,
-      });
-
-      // Check ACL entry
-      const aclEntry = await AclEntry.findOne({
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testGroup._id,
-        principalType: PrincipalType.USER,
-        principalId: testUsers.owner._id,
-      });
-
-      expect(aclEntry).toBeTruthy();
-      expect(aclEntry.permBits).toBe(testRoles.owner.permBits);
-    });
-  });
-
-  describe('Accessing Prompts', () => {
-    let testPromptGroup;
-
-    beforeEach(async () => {
-      // Create a prompt group
-      testPromptGroup = await PromptGroup.create({
-        name: 'Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      // Create a prompt
-      await Prompt.create({
-        prompt: 'Test prompt for access control',
-        name: 'Access Test Prompt',
-        author: testUsers.owner._id,
-        groupId: testPromptGroup._id,
-        type: 'text',
-      });
-
-      // Grant owner permissions
-      await permissionService.grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: testUsers.owner._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_OWNER,
-        grantedBy: testUsers.owner._id,
-      });
-    });
-
-    afterEach(async () => {
-      await Prompt.deleteMany({});
-      await PromptGroup.deleteMany({});
-      await AclEntry.deleteMany({});
-    });
-
-    it('owner should have full access to their prompt', async () => {
-      const hasAccess = await permissionService.checkPermission({
-        userId: testUsers.owner._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.VIEW,
-      });
-
-      expect(hasAccess).toBe(true);
-
-      const canEdit = await permissionService.checkPermission({
-        userId: testUsers.owner._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.EDIT,
-      });
-
-      expect(canEdit).toBe(true);
-    });
-
-    it('user with viewer role should only have view access', async () => {
-      // Grant viewer permissions
-      await permissionService.grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: testUsers.viewer._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_VIEWER,
-        grantedBy: testUsers.owner._id,
-      });
-
-      const canView = await permissionService.checkPermission({
-        userId: testUsers.viewer._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.VIEW,
-      });
-
-      const canEdit = await permissionService.checkPermission({
-        userId: testUsers.viewer._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.EDIT,
-      });
-
-      expect(canView).toBe(true);
-      expect(canEdit).toBe(false);
-    });
-
-    it('user without permissions should have no access', async () => {
-      const hasAccess = await permissionService.checkPermission({
-        userId: testUsers.noAccess._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.VIEW,
-      });
-
-      expect(hasAccess).toBe(false);
-    });
-
-    it('admin should have access regardless of permissions', async () => {
-      // Admin users should work through normal permission system
-      // The middleware layer handles admin bypass, not the permission service
-      const hasAccess = await permissionService.checkPermission({
-        userId: testUsers.admin._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.VIEW,
-      });
-
-      // Without explicit permissions, even admin won't have access at this layer
-      expect(hasAccess).toBe(false);
-
-      // The actual admin bypass happens in the middleware layer (`canAccessPromptViaGroup`/`canAccessPromptGroupResource`)
-      // which checks req.user.role === SystemRoles.ADMIN
-    });
-  });
-
-  describe('Group-based Access', () => {
-    let testPromptGroup;
-
-    beforeEach(async () => {
-      // Create a prompt group first
-      testPromptGroup = await PromptGroup.create({
-        name: 'Group Access Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      await Prompt.create({
-        prompt: 'Group access test prompt',
-        name: 'Group Test',
-        author: testUsers.owner._id,
-        groupId: testPromptGroup._id,
-        type: 'text',
-      });
-
-      // Add users to groups
-      await User.findByIdAndUpdate(testUsers.editor._id, {
-        $push: { groups: testGroups.editors._id },
-      });
-
-      await User.findByIdAndUpdate(testUsers.viewer._id, {
-        $push: { groups: testGroups.viewers._id },
-      });
-    });
-
-    afterEach(async () => {
-      await Prompt.deleteMany({});
-      await AclEntry.deleteMany({});
-      await User.updateMany({}, { $set: { groups: [] } });
-    });
-
-    it('group members should inherit group permissions', async () => {
-      // Create a prompt group
-      const testPromptGroup = await PromptGroup.create({
-        name: 'Group Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      const { addUserToGroup } = require('~/models');
-      await addUserToGroup(testUsers.editor._id, testGroups.editors._id);
-
-      const prompt = await promptFns.savePrompt({
-        author: testUsers.owner._id,
-        prompt: {
-          prompt: 'Group test prompt',
-          name: 'Group Test',
-          groupId: testPromptGroup._id,
-          type: 'text',
-        },
-      });
-
-      // Check if savePrompt returned an error
-      if (!prompt || !prompt.prompt) {
-        throw new Error(`Failed to save prompt: ${prompt?.message || 'Unknown error'}`);
-      }
-
-      // Grant edit permissions to the group
-      await permissionService.grantPermission({
-        principalType: PrincipalType.GROUP,
-        principalId: testGroups.editors._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_EDITOR,
-        grantedBy: testUsers.owner._id,
-      });
-
-      // Check if group member has access
-      const hasAccess = await permissionService.checkPermission({
-        userId: testUsers.editor._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.EDIT,
-      });
-
-      expect(hasAccess).toBe(true);
-
-      // Check that non-member doesn't have access
-      const nonMemberAccess = await permissionService.checkPermission({
-        userId: testUsers.viewer._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        requiredPermission: PermissionBits.EDIT,
-      });
-
-      expect(nonMemberAccess).toBe(false);
-    });
-  });
-
-  describe('Public Access', () => {
-    let publicPromptGroup, privatePromptGroup;
-
-    beforeEach(async () => {
-      // Create separate prompt groups for public and private access
-      publicPromptGroup = await PromptGroup.create({
-        name: 'Public Access Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      privatePromptGroup = await PromptGroup.create({
-        name: 'Private Access Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      // Create prompts in their respective groups
-      await Prompt.create({
-        prompt: 'Public prompt',
-        name: 'Public',
-        author: testUsers.owner._id,
-        groupId: publicPromptGroup._id,
-        type: 'text',
-      });
-
-      await Prompt.create({
-        prompt: 'Private prompt',
-        name: 'Private',
-        author: testUsers.owner._id,
-        groupId: privatePromptGroup._id,
-        type: 'text',
-      });
-
-      // Grant public view access to publicPromptGroup
-      await permissionService.grantPermission({
-        principalType: PrincipalType.PUBLIC,
-        principalId: null,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: publicPromptGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_VIEWER,
-        grantedBy: testUsers.owner._id,
-      });
-
-      // Grant only owner access to privatePromptGroup
-      await permissionService.grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: testUsers.owner._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: privatePromptGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_OWNER,
-        grantedBy: testUsers.owner._id,
-      });
-    });
-
-    afterEach(async () => {
-      await Prompt.deleteMany({});
-      await PromptGroup.deleteMany({});
-      await AclEntry.deleteMany({});
-    });
-
-    it('public prompt should be accessible to any user', async () => {
-      const hasAccess = await permissionService.checkPermission({
-        userId: testUsers.noAccess._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: publicPromptGroup._id,
-        requiredPermission: PermissionBits.VIEW,
-        includePublic: true,
-      });
-
-      expect(hasAccess).toBe(true);
-    });
-
-    it('private prompt should not be accessible to unauthorized users', async () => {
-      const hasAccess = await permissionService.checkPermission({
-        userId: testUsers.noAccess._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: privatePromptGroup._id,
-        requiredPermission: PermissionBits.VIEW,
-        includePublic: true,
-      });
-
-      expect(hasAccess).toBe(false);
-    });
-  });
-
-  describe('Prompt Deletion', () => {
-    let testPromptGroup;
-
-    it('should remove ACL entries when prompt is deleted', async () => {
-      testPromptGroup = await PromptGroup.create({
-        name: 'Deletion Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      const prompt = await promptFns.savePrompt({
-        author: testUsers.owner._id,
-        prompt: {
-          prompt: 'To be deleted',
-          name: 'Delete Test',
-          groupId: testPromptGroup._id,
-          type: 'text',
-        },
-      });
-
-      // Check if savePrompt returned an error
-      if (!prompt || !prompt.prompt) {
-        throw new Error(`Failed to save prompt: ${prompt?.message || 'Unknown error'}`);
-      }
-
-      const testPromptId = prompt.prompt._id;
-      const promptGroupId = testPromptGroup._id;
-
-      // Grant permission
-      await permissionService.grantPermission({
-        principalType: PrincipalType.USER,
-        principalId: testUsers.owner._id,
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-        accessRoleId: AccessRoleIds.PROMPTGROUP_OWNER,
-        grantedBy: testUsers.owner._id,
-      });
-
-      // Verify ACL entry exists
-      const beforeDelete = await AclEntry.find({
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-      });
-      expect(beforeDelete).toHaveLength(1);
-
-      // Delete the prompt
-      await promptFns.deletePrompt({
-        promptId: testPromptId,
-        groupId: promptGroupId,
-        author: testUsers.owner._id,
-        role: SystemRoles.USER,
-      });
-
-      // Verify ACL entries are removed
-      const aclEntries = await AclEntry.find({
-        resourceType: ResourceType.PROMPTGROUP,
-        resourceId: testPromptGroup._id,
-      });
-
-      expect(aclEntries).toHaveLength(0);
-    });
-  });
-
-  describe('Backwards Compatibility', () => {
-    it('should handle prompts without ACL entries gracefully', async () => {
-      // Create a prompt group first
-      const promptGroup = await PromptGroup.create({
-        name: 'Legacy Test Group',
-        author: testUsers.owner._id,
-        authorName: testUsers.owner.name,
-        productionId: new ObjectId(),
-      });
-
-      // Create a prompt without ACL entries (legacy prompt)
-      const legacyPrompt = await Prompt.create({
-        prompt: 'Legacy prompt without ACL',
-        name: 'Legacy',
-        author: testUsers.owner._id,
-        groupId: promptGroup._id,
-        type: 'text',
-      });
-
-      // The system should handle this gracefully
-      const prompt = await promptFns.getPrompt({ _id: legacyPrompt._id });
-      expect(prompt).toBeTruthy();
-      expect(prompt._id.toString()).toBe(legacyPrompt._id.toString());
-    });
-  });
-});

api/models/PromptGroupMigration.spec.js

@@ -1,280 +0,0 @@
-const mongoose = require('mongoose');
-const { ObjectId } = require('mongodb');
-const { logger } = require('@librechat/data-schemas');
-const { MongoMemoryServer } = require('mongodb-memory-server');
-const {
-  Constants,
-  ResourceType,
-  AccessRoleIds,
-  PrincipalType,
-  PrincipalModel,
-  PermissionBits,
-} = require('librechat-data-provider');
-
-// Mock the config/connect module to prevent connection attempts during tests
-jest.mock('../../config/connect', () => jest.fn().mockResolvedValue(true));
-
-// Disable console for tests
-logger.silent = true;
-
-describe('PromptGroup Migration Script', () => {
-  let mongoServer;
-  let Prompt, PromptGroup, AclEntry, AccessRole, User, Project;
-  let migrateToPromptGroupPermissions;
-  let testOwner, testProject;
-  let ownerRole, viewerRole;
-
-  beforeAll(async () => {
-    // Set up MongoDB memory server
-    mongoServer = await MongoMemoryServer.create();
-    const mongoUri = mongoServer.getUri();
-    await mongoose.connect(mongoUri);
-
-    // Initialize models
-    const dbModels = require('~/db/models');
-    Prompt = dbModels.Prompt;
-    PromptGroup = dbModels.PromptGroup;
-    AclEntry = dbModels.AclEntry;
-    AccessRole = dbModels.AccessRole;
-    User = dbModels.User;
-    Project = dbModels.Project;
-
-    // Create test user
-    testOwner = await User.create({
-      name: 'Test Owner',
-      email: 'owner@test.com',
-      role: 'USER',
-    });
-
-    // Create test project with the proper name
-    const projectName = Constants.GLOBAL_PROJECT_NAME || 'instance';
-    testProject = await Project.create({
-      name: projectName,
-      description: 'Global project',
-      promptGroupIds: [],
-    });
-
-    // Create promptGroup access roles
-    ownerRole = await AccessRole.create({
-      accessRoleId: AccessRoleIds.PROMPTGROUP_OWNER,
-      name: 'Owner',
-      description: 'Full control over promptGroups',
-      resourceType: ResourceType.PROMPTGROUP,
-      permBits:
-        PermissionBits.VIEW | PermissionBits.EDIT | PermissionBits.DELETE | PermissionBits.SHARE,
-    });
-
-    viewerRole = await AccessRole.create({
-      accessRoleId: AccessRoleIds.PROMPTGROUP_VIEWER,
-      name: 'Viewer',
-      description: 'Can view promptGroups',
-      resourceType: ResourceType.PROMPTGROUP,
-      permBits: PermissionBits.VIEW,
-    });
-
-    await AccessRole.create({
-      accessRoleId: AccessRoleIds.PROMPTGROUP_EDITOR,
-      name: 'Editor',
-      description: 'Can view and edit promptGroups',
-      resourceType: ResourceType.PROMPTGROUP,
-      permBits: PermissionBits.VIEW | PermissionBits.EDIT,
-    });
-
-    // Import migration function
-    const migration = require('../../config/migrate-prompt-permissions');
-    migrateToPromptGroupPermissions = migration.migrateToPromptGroupPermissions;
-  });
-
-  afterAll(async () => {
-    await mongoose.disconnect();
-    await mongoServer.stop();
-  });
-
-  beforeEach(async () => {
-    // Clean up before each test
-    await Prompt.deleteMany({});
-    await PromptGroup.deleteMany({});
-    await AclEntry.deleteMany({});
-    // Reset the project's promptGroupIds array
-    testProject.promptGroupIds = [];
-    await testProject.save();
-  });
-
-  it('should categorize promptGroups correctly in dry run', async () => {
-    // Create global prompt group (in Global project)
-    const globalPromptGroup = await PromptGroup.create({
-      name: 'Global Group',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    // Create private prompt group (not in any project)
-    await PromptGroup.create({
-      name: 'Private Group',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    // Add global group to project's promptGroupIds array
-    testProject.promptGroupIds = [globalPromptGroup._id];
-    await testProject.save();
-
-    const result = await migrateToPromptGroupPermissions({ dryRun: true });
-
-    expect(result.dryRun).toBe(true);
-    expect(result.summary.total).toBe(2);
-    expect(result.summary.globalViewAccess).toBe(1);
-    expect(result.summary.privateGroups).toBe(1);
-  });
-
-  it('should grant appropriate permissions during migration', async () => {
-    // Create prompt groups
-    const globalPromptGroup = await PromptGroup.create({
-      name: 'Global Group',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    const privatePromptGroup = await PromptGroup.create({
-      name: 'Private Group',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    // Add global group to project's promptGroupIds array
-    testProject.promptGroupIds = [globalPromptGroup._id];
-    await testProject.save();
-
-    const result = await migrateToPromptGroupPermissions({ dryRun: false });
-
-    expect(result.migrated).toBe(2);
-    expect(result.errors).toBe(0);
-    expect(result.ownerGrants).toBe(2);
-    expect(result.publicViewGrants).toBe(1);
-
-    // Check global promptGroup permissions
-    const globalOwnerEntry = await AclEntry.findOne({
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: globalPromptGroup._id,
-      principalType: PrincipalType.USER,
-      principalId: testOwner._id,
-    });
-    expect(globalOwnerEntry).toBeTruthy();
-    expect(globalOwnerEntry.permBits).toBe(ownerRole.permBits);
-
-    const globalPublicEntry = await AclEntry.findOne({
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: globalPromptGroup._id,
-      principalType: PrincipalType.PUBLIC,
-    });
-    expect(globalPublicEntry).toBeTruthy();
-    expect(globalPublicEntry.permBits).toBe(viewerRole.permBits);
-
-    // Check private promptGroup permissions
-    const privateOwnerEntry = await AclEntry.findOne({
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: privatePromptGroup._id,
-      principalType: PrincipalType.USER,
-      principalId: testOwner._id,
-    });
-    expect(privateOwnerEntry).toBeTruthy();
-    expect(privateOwnerEntry.permBits).toBe(ownerRole.permBits);
-
-    const privatePublicEntry = await AclEntry.findOne({
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: privatePromptGroup._id,
-      principalType: PrincipalType.PUBLIC,
-    });
-    expect(privatePublicEntry).toBeNull();
-  });
-
-  it('should skip promptGroups that already have ACL entries', async () => {
-    // Create prompt groups
-    const promptGroup1 = await PromptGroup.create({
-      name: 'Group 1',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    const promptGroup2 = await PromptGroup.create({
-      name: 'Group 2',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    // Grant permission to one promptGroup manually (simulating it already has ACL)
-    await AclEntry.create({
-      principalType: PrincipalType.USER,
-      principalId: testOwner._id,
-      principalModel: PrincipalModel.USER,
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: promptGroup1._id,
-      permBits: ownerRole.permBits,
-      roleId: ownerRole._id,
-      grantedBy: testOwner._id,
-      grantedAt: new Date(),
-    });
-
-    const result = await migrateToPromptGroupPermissions({ dryRun: false });
-
-    // Should only migrate promptGroup2, skip promptGroup1
-    expect(result.migrated).toBe(1);
-    expect(result.errors).toBe(0);
-
-    // Verify promptGroup2 now has permissions
-    const group2Entry = await AclEntry.findOne({
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: promptGroup2._id,
-    });
-    expect(group2Entry).toBeTruthy();
-  });
-
-  it('should handle promptGroups with prompts correctly', async () => {
-    // Create a promptGroup with some prompts
-    const promptGroup = await PromptGroup.create({
-      name: 'Group with Prompts',
-      author: testOwner._id,
-      authorName: testOwner.name,
-      productionId: new ObjectId(),
-    });
-
-    // Create some prompts in this group
-    await Prompt.create({
-      prompt: 'First prompt',
-      author: testOwner._id,
-      groupId: promptGroup._id,
-      type: 'text',
-    });
-
-    await Prompt.create({
-      prompt: 'Second prompt',
-      author: testOwner._id,
-      groupId: promptGroup._id,
-      type: 'text',
-    });
-
-    const result = await migrateToPromptGroupPermissions({ dryRun: false });
-
-    expect(result.migrated).toBe(1);
-    expect(result.errors).toBe(0);
-
-    // Verify the promptGroup has permissions
-    const groupEntry = await AclEntry.findOne({
-      resourceType: ResourceType.PROMPTGROUP,
-      resourceId: promptGroup._id,
-    });
-    expect(groupEntry).toBeTruthy();
-
-    // Verify no prompt-level permissions were created
-    const promptEntries = await AclEntry.find({
-      resourceType: 'prompt',
-    });
-    expect(promptEntries).toHaveLength(0);
-  });
-});

api/models/Role.js

@@ -2,6 +2,7 @@ const {
   CacheKeys,
   SystemRoles,
   roleDefaults,
+  PermissionTypes,
   permissionsSchema,
   removeNullishValues,
 } = require('librechat-data-provider');
@@ -16,7 +17,7 @@ const { Role } = require('~/db/models');
  *
  * @param {string} roleName - The name of the role to find or create.
  * @param {string|string[]} [fieldsToSelect] - The fields to include or exclude in the returned document.
- * @returns {Promise<IRole>} Role document.
+ * @returns {Promise<Object>} A plain object representing the role document.
  */
 const getRoleByName = async function (roleName, fieldsToSelect = null) {
   const cache = getLogStores(CacheKeys.ROLES);
@@ -72,9 +73,8 @@ const updateRoleByName = async function (roleName, updates) {
  * Updates access permissions for a specific role and multiple permission types.
  * @param {string} roleName - The role to update.
  * @param {Object.<PermissionTypes, Object.<Permissions, boolean>>} permissionsUpdate - Permissions to update and their values.
- * @param {IRole} [roleData] - Optional role data to use instead of fetching from the database.
  */
-async function updateAccessPermissions(roleName, permissionsUpdate, roleData) {
+async function updateAccessPermissions(roleName, permissionsUpdate) {
   // Filter and clean the permission updates based on our schema definition.
   const updates = {};
   for (const [permissionType, permissions] of Object.entries(permissionsUpdate)) {
@@ -87,7 +87,7 @@ async function updateAccessPermissions(roleName, permissionsUpdate, roleData) {
   }
 
   try {
-    const role = roleData ?? (await getRoleByName(roleName));
+    const role = await getRoleByName(roleName);
     if (!role) {
       return;
     }
@@ -114,6 +114,7 @@ async function updateAccessPermissions(roleName, permissionsUpdate, roleData) {
       }
     }
 
+    // Process the current updates
     for (const [permissionType, permissions] of Object.entries(updates)) {
       const currentTypePermissions = currentPermissions[permissionType] || {};
       updatedPermissions[permissionType] = { ...currentTypePermissions };

api/models/Transaction.js

@@ -1,4 +1,5 @@
 const { logger } = require('@librechat/data-schemas');
+const { getBalanceConfig } = require('~/server/services/Config');
 const { getMultiplier, getCacheMultiplier } = require('./tx');
 const { Transaction, Balance } = require('~/db/models');
 
@@ -186,23 +187,20 @@ async function createAutoRefillTransaction(txData) {
 
 /**
  * Static method to create a transaction and update the balance
- * @param {txData} _txData - Transaction data.
+ * @param {txData} txData - Transaction data.
  */
-async function createTransaction(_txData) {
-  const { balance, transactions, ...txData } = _txData;
+async function createTransaction(txData) {
   if (txData.rawAmount != null && isNaN(txData.rawAmount)) {
     return;
   }
 
-  if (transactions?.enabled === false) {
-    return;
-  }
-
   const transaction = new Transaction(txData);
   transaction.endpointTokenConfig = txData.endpointTokenConfig;
   calculateTokenValue(transaction);
 
   await transaction.save();
+
+  const balance = await getBalanceConfig();
   if (!balance?.enabled) {
     return;
   }
@@ -223,14 +221,9 @@ async function createTransaction(_txData) {
 
 /**
  * Static method to create a structured transaction and update the balance
- * @param {txData} _txData - Transaction data.
+ * @param {txData} txData - Transaction data.
  */
-async function createStructuredTransaction(_txData) {
-  const { balance, transactions, ...txData } = _txData;
-  if (transactions?.enabled === false) {
-    return;
-  }
-
+async function createStructuredTransaction(txData) {
   const transaction = new Transaction({
     ...txData,
     endpointTokenConfig: txData.endpointTokenConfig,
@@ -240,6 +233,7 @@ async function createStructuredTransaction(_txData) {
 
   await transaction.save();
 
+  const balance = await getBalanceConfig();
   if (!balance?.enabled) {
     return;
   }

api/models/Transaction.spec.js

@@ -1,9 +1,13 @@
 const mongoose = require('mongoose');
 const { MongoMemoryServer } = require('mongodb-memory-server');
 const { spendTokens, spendStructuredTokens } = require('./spendTokens');
+const { getBalanceConfig } = require('~/server/services/Config');
 const { getMultiplier, getCacheMultiplier } = require('./tx');
-const { createTransaction, createStructuredTransaction } = require('./Transaction');
-const { Balance, Transaction } = require('~/db/models');
+const { createTransaction } = require('./Transaction');
+const { Balance } = require('~/db/models');
+
+// Mock the custom config module so we can control the balance flag.
+jest.mock('~/server/services/Config');
 
 let mongoServer;
 beforeAll(async () => {
@@ -19,6 +23,8 @@ afterAll(async () => {
 
 beforeEach(async () => {
   await mongoose.connection.dropDatabase();
+  // Default: enable balance updates in tests.
+  getBalanceConfig.mockResolvedValue({ enabled: true });
 });
 
 describe('Regular Token Spending Tests', () => {
@@ -35,7 +41,6 @@ describe('Regular Token Spending Tests', () => {
       model,
       context: 'test',
       endpointTokenConfig: null,
-      balance: { enabled: true },
     };
 
     const tokenUsage = {
@@ -69,7 +74,6 @@ describe('Regular Token Spending Tests', () => {
       model,
       context: 'test',
       endpointTokenConfig: null,
-      balance: { enabled: true },
     };
 
     const tokenUsage = {
@@ -100,7 +104,6 @@ describe('Regular Token Spending Tests', () => {
       model,
       context: 'test',
       endpointTokenConfig: null,
-      balance: { enabled: true },
     };
 
     const tokenUsage = {};
@@ -125,7 +128,6 @@ describe('Regular Token Spending Tests', () => {
       model,
       context: 'test',
       endpointTokenConfig: null,
-      balance: { enabled: true },
     };
 
     const tokenUsage = { promptTokens: 100 };
@@ -141,7 +143,8 @@ describe('Regular Token Spending Tests', () => {
   });
 
   test('spendTokens should not update balance when balance feature is disabled', async () => {
-    // Arrange: Balance config is now passed directly in txData
+    // Arrange: Override the config to disable balance updates.
+    getBalanceConfig.mockResolvedValue({ balance: { enabled: false } });
     const userId = new mongoose.Types.ObjectId();
     const initialBalance = 10000000;
     await Balance.create({ user: userId, tokenCredits: initialBalance });
@@ -153,7 +156,6 @@ describe('Regular Token Spending Tests', () => {
       model,
       context: 'test',
       endpointTokenConfig: null,
-      balance: { enabled: false },
     };
 
     const tokenUsage = {
@@ -184,7 +186,6 @@ describe('Structured Token Spending Tests', () => {
       model,
       context: 'message',
       endpointTokenConfig: null,
-      balance: { enabled: true },
     };
 
     const tokenUsage = {
@@ -238,7 +239,6 @@ describe('Structured Token Spending Tests', () => {
       conversationId: 'test-convo',
       model,
       context: 'message',
-      balance: { enabled: true },
     };
 
     const tokenUsage = {
@@ -271,7 +271,6 @@ describe('Structured Token Spending Tests', () => {
       conversationId: 'test-convo',
       model,
       context: 'message',
-      balance: { enabled: true },
     };
 
     const tokenUsage = {
@@ -303,7 +302,6 @@ describe('Structured Token Spending Tests', () => {
       conversationId: 'test-convo',
       model,
       context: 'message',
-      balance: { enabled: true },
     };
 
     const tokenUsage = {};
@@ -330,7 +328,6 @@ describe('Structured Token Spending Tests', () => {
       conversationId: 'test-convo',
       model,
       context: 'incomplete',
-      balance: { enabled: true },
     };
 
     const tokenUsage = {
@@ -367,7 +364,6 @@ describe('NaN Handling Tests', () => {
       endpointTokenConfig: null,
       rawAmount: NaN,
       tokenType: 'prompt',
-      balance: { enabled: true },
     };
 
     // Act
@@ -379,188 +375,3 @@ describe('NaN Handling Tests', () => {
     expect(balance.tokenCredits).toBe(initialBalance);
   });
 });
-
-describe('Transactions Config Tests', () => {
-  test('createTransaction should not save when transactions.enabled is false', async () => {
-    // Arrange
-    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: -100,
-      tokenType: 'prompt',
-      transactions: { enabled: false },
-    };
-
-    // Act
-    const result = await createTransaction(txData);
-
-    // Assert: No transaction should be created
-    expect(result).toBeUndefined();
-    const transactions = await Transaction.find({ user: userId });
-    expect(transactions).toHaveLength(0);
-    const balance = await Balance.findOne({ user: userId });
-    expect(balance.tokenCredits).toBe(initialBalance);
-  });
-
-  test('createTransaction should save when transactions.enabled is true', async () => {
-    // Arrange
-    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: -100,
-      tokenType: 'prompt',
-      transactions: { enabled: true },
-      balance: { enabled: true },
-    };
-
-    // Act
-    const result = await createTransaction(txData);
-
-    // Assert: Transaction should be created
-    expect(result).toBeDefined();
-    expect(result.balance).toBeLessThan(initialBalance);
-    const transactions = await Transaction.find({ user: userId });
-    expect(transactions).toHaveLength(1);
-    expect(transactions[0].rawAmount).toBe(-100);
-  });
-
-  test('createTransaction should save when balance.enabled is true even if transactions config is missing', async () => {
-    // Arrange
-    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: -100,
-      tokenType: 'prompt',
-      balance: { enabled: true },
-      // No transactions config provided
-    };
-
-    // Act
-    const result = await createTransaction(txData);
-
-    // Assert: Transaction should be created (backward compatibility)
-    expect(result).toBeDefined();
-    expect(result.balance).toBeLessThan(initialBalance);
-    const transactions = await Transaction.find({ user: userId });
-    expect(transactions).toHaveLength(1);
-  });
-
-  test('createTransaction should save transaction but not update balance when balance is disabled but transactions enabled', async () => {
-    // Arrange
-    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: -100,
-      tokenType: 'prompt',
-      transactions: { enabled: true },
-      balance: { enabled: false },
-    };
-
-    // Act
-    const result = await createTransaction(txData);
-
-    // Assert: Transaction should be created but balance unchanged
-    expect(result).toBeUndefined();
-    const transactions = await Transaction.find({ user: userId });
-    expect(transactions).toHaveLength(1);
-    expect(transactions[0].rawAmount).toBe(-100);
-    const balance = await Balance.findOne({ user: userId });
-    expect(balance.tokenCredits).toBe(initialBalance);
-  });
-
-  test('createStructuredTransaction should not save when transactions.enabled is false', async () => {
-    // Arrange
-    const userId = new mongoose.Types.ObjectId();
-    const initialBalance = 10000000;
-    await Balance.create({ user: userId, tokenCredits: initialBalance });
-
-    const model = 'claude-3-5-sonnet';
-    const txData = {
-      user: userId,
-      conversationId: 'test-conversation-id',
-      model,
-      context: 'message',
-      tokenType: 'prompt',
-      inputTokens: -10,
-      writeTokens: -100,
-      readTokens: -5,
-      transactions: { enabled: false },
-    };
-
-    // Act
-    const result = await createStructuredTransaction(txData);
-
-    // Assert: No transaction should be created
-    expect(result).toBeUndefined();
-    const transactions = await Transaction.find({ user: userId });
-    expect(transactions).toHaveLength(0);
-    const balance = await Balance.findOne({ user: userId });
-    expect(balance.tokenCredits).toBe(initialBalance);
-  });
-
-  test('createStructuredTransaction should save transaction but not update balance when balance is disabled but transactions enabled', async () => {
-    // Arrange
-    const userId = new mongoose.Types.ObjectId();
-    const initialBalance = 10000000;
-    await Balance.create({ user: userId, tokenCredits: initialBalance });
-
-    const model = 'claude-3-5-sonnet';
-    const txData = {
-      user: userId,
-      conversationId: 'test-conversation-id',
-      model,
-      context: 'message',
-      tokenType: 'prompt',
-      inputTokens: -10,
-      writeTokens: -100,
-      readTokens: -5,
-      transactions: { enabled: true },
-      balance: { enabled: false },
-    };
-
-    // Act
-    const result = await createStructuredTransaction(txData);
-
-    // Assert: Transaction should be created but balance unchanged
-    expect(result).toBeUndefined();
-    const transactions = await Transaction.find({ user: userId });
-    expect(transactions).toHaveLength(1);
-    expect(transactions[0].inputTokens).toBe(-10);
-    expect(transactions[0].writeTokens).toBe(-100);
-    expect(transactions[0].readTokens).toBe(-5);
-    const balance = await Balance.findOne({ user: userId });
-    expect(balance.tokenCredits).toBe(initialBalance);
-  });
-});