🚀 feat: Add health check configuration for API service in Dockerfile and docker-compose.yml

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

.env.example

@@ -20,6 +20,11 @@ DOMAIN_CLIENT=http://localhost:3080
 DOMAIN_SERVER=http://localhost:3080
 
 NO_INDEX=true
+# Use the address that is at most n number of hops away from the Express application. 
+# req.socket.remoteAddress is the first hop, and the rest are looked for in the X-Forwarded-For header from right to left. 
+# A value of 0 means that the first untrusted address would be req.socket.remoteAddress, i.e. there is no reverse proxy.
+# Defaulted to 1.
+TRUST_PROXY=1
 
 #===============#
 # JSON Logging  #
@@ -83,7 +88,7 @@ PROXY=
 #============#
 
 ANTHROPIC_API_KEY=user_provided
-# ANTHROPIC_MODELS=claude-3-5-haiku-20241022,claude-3-5-sonnet-20241022,claude-3-5-sonnet-latest,claude-3-5-sonnet-20240620,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307,claude-2.1,claude-2,claude-1.2,claude-1,claude-1-100k,claude-instant-1,claude-instant-1-100k
+# ANTHROPIC_MODELS=claude-3-7-sonnet-latest,claude-3-7-sonnet-20250219,claude-3-5-haiku-20241022,claude-3-5-sonnet-20241022,claude-3-5-sonnet-latest,claude-3-5-sonnet-20240620,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307,claude-2.1,claude-2,claude-1.2,claude-1,claude-1-100k,claude-instant-1,claude-instant-1-100k
 # ANTHROPIC_REVERSE_PROXY=
 
 #============#
@@ -170,7 +175,7 @@ GOOGLE_KEY=user_provided
 #============#
 
 OPENAI_API_KEY=user_provided
-# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,chatgpt-4o-latest,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
+# OPENAI_MODELS=o1,o1-mini,o1-preview,gpt-4o,gpt-4.5-preview,chatgpt-4o-latest,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
 
 DEBUG_OPENAI=false
 
@@ -204,12 +209,6 @@ ASSISTANTS_API_KEY=user_provided
 # More info, including how to enable use of Assistants with Azure here:
 # https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints/azure#using-assistants-with-azure
 
-#============#
-# OpenRouter #
-#============#
-# !!!Warning: Use the variable above instead of this one. Using this one will override the OpenAI endpoint
-# OPENROUTER_API_KEY=
-
 #============#
 # Plugins    #
 #============#
@@ -249,6 +248,13 @@ AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
 # DALLE3_AZURE_API_VERSION=
 # DALLE2_AZURE_API_VERSION=
 
+# Flux
+#-----------------
+FLUX_API_BASE_URL=https://api.us1.bfl.ai
+# FLUX_API_BASE_URL = 'https://api.bfl.ml';
+
+# Get your API key at https://api.us1.bfl.ai/auth/profile
+# FLUX_API_KEY=
 
 # Google
 #-----------------
@@ -292,6 +298,10 @@ MEILI_NO_ANALYTICS=true
 MEILI_HOST=http://0.0.0.0:7700
 MEILI_MASTER_KEY=DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFCt
 
+# Optional: Disable indexing, useful in a multi-node setup
+# where only one instance should perform an index sync.
+# MEILI_NO_SYNC=true
+
 #==================================================#
 #          Speech to Text & Text to Speech         #
 #==================================================#
@@ -389,7 +399,7 @@ FACEBOOK_CALLBACK_URL=/oauth/facebook/callback
 GITHUB_CLIENT_ID=
 GITHUB_CLIENT_SECRET=
 GITHUB_CALLBACK_URL=/oauth/github/callback
-# GitHub Eenterprise
+# GitHub Enterprise
 # GITHUB_ENTERPRISE_BASE_URL=
 # GITHUB_ENTERPRISE_USER_AGENT=
 
@@ -495,6 +505,16 @@ HELP_AND_FAQ_URL=https://librechat.ai
 # Google tag manager id
 #ANALYTICS_GTM_ID=user provided google tag manager id
 
+#===============#
+# REDIS Options #
+#===============#
+
+# REDIS_URI=10.10.10.10:6379
+# USE_REDIS=true
+
+# USE_REDIS_CLUSTER=true
+# REDIS_CA=/path/to/ca.crt
+
 #==================================================#
 #                      Others                      #
 #==================================================#
@@ -502,9 +522,6 @@ HELP_AND_FAQ_URL=https://librechat.ai
 
 # NODE_ENV=
 
-# REDIS_URI=
-# USE_REDIS=
-
 # E2E_USER_EMAIL=
 # E2E_USER_PASSWORD=
 
@@ -527,4 +544,4 @@ HELP_AND_FAQ_URL=https://librechat.ai
 #=====================================================#
 #                  OpenWeather                        #
 #=====================================================#
-OPENWEATHER_API_KEY=
+OPENWEATHER_API_KEY=

.github/ISSUE_TEMPLATE/LOCIZE_TRANSLATION_ACCESS_REQUEST.yml

@@ -0,0 +1,42 @@
+name: Locize Translation Access Request
+description: Request access to an additional language in Locize for LibreChat translations.
+title: "Locize Access Request: "
+labels: ["🌍 i18n", "🔑 access request"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thank you for your interest in contributing to LibreChat translations!  
+        Please fill out the form below to request access to an additional language in **Locize**.
+
+        **🔗 Available Languages:** [View the list here](https://www.librechat.ai/docs/translation)
+        
+        **📌 Note:** Ensure that the requested language is supported before submitting your request.
+  - type: input
+    id: account_name
+    attributes:
+      label: Locize Account Name
+      description: Please provide your Locize account name (e.g., John Doe).
+      placeholder: e.g., John Doe
+    validations:
+      required: true
+  - type: input
+    id: language_requested
+    attributes:
+      label: Language Code (ISO 639-1)
+      description: |
+        Enter the **ISO 639-1** language code for the language you want to translate into.  
+        Example: `es` for Spanish, `zh-Hant` for Traditional Chinese.
+        
+        **🔗 Reference:** [Available Languages](https://www.librechat.ai/docs/translation)
+      placeholder: e.g., es
+    validations:
+      required: true
+  - type: checkboxes
+    id: agreement
+    attributes:
+      label: Agreement
+      description: By submitting this request, you confirm that you will contribute responsibly and adhere to the project guidelines.
+      options:
+        - label: I agree to use my access solely for contributing to LibreChat translations.
+          required: true

.github/ISSUE_TEMPLATE/QUESTION.yml

@@ -1,50 +0,0 @@
-name: Question
-description: Ask your question
-title: "[Question]: "
-labels: ["❓ question"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thanks for taking the time to fill this!
-  - type: textarea
-    id: what-is-your-question
-    attributes:
-      label: What is your question?
-      description: Please give as many details as possible
-      placeholder: Please give as many details as possible
-    validations:
-      required: true
-  - type: textarea
-    id: more-details
-    attributes:
-      label: More Details
-      description: Please provide more details if needed.
-      placeholder: Please provide more details if needed.
-    validations:
-      required: true
-  - type: dropdown
-    id: browsers
-    attributes:
-      label: What is the main subject of your question?
-      multiple: true
-      options:
-        - Documentation
-        - Installation
-        - UI
-        - Endpoints
-        - User System/OAuth
-        - Other
-  - type: textarea
-    id: screenshots
-    attributes:
-      label: Screenshots
-      description: If applicable, add screenshots to help explain your problem. You can drag and drop, paste images directly here or link to them.
-  - type: checkboxes
-    id: terms
-    attributes:
-      label: Code of Conduct
-      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
-      options:
-        - label: I agree to follow this project's Code of Conduct
-          required: true

.github/configuration-release.json

@@ -0,0 +1,60 @@
+{
+  "categories": [
+    {
+      "title": "### ✨ New Features",
+      "labels": ["feat"]
+    },
+    {
+      "title": "### 🌍 Internationalization",
+      "labels": ["i18n"]
+    },
+    {
+      "title": "### 👐 Accessibility",
+      "labels": ["a11y"]
+    },
+    {
+      "title": "### 🔧 Fixes",
+      "labels": ["Fix", "fix"]
+    },
+    {
+      "title": "### ⚙️ Other Changes",
+      "labels": ["ci", "style", "docs", "refactor", "chore"]
+    }
+  ],
+  "ignore_labels": [
+    "🔁 duplicate",
+    "📊 analytics",
+    "🌱 good first issue",
+    "🔍 investigation",
+    "🙏 help wanted",
+    "❌ invalid",
+    "❓ question",
+    "🚫 wontfix",
+    "🚀 release",
+    "version"
+  ],
+  "base_branches": ["main"],
+  "sort": {
+    "order": "ASC",
+    "on_property": "mergedAt"
+  },
+  "label_extractor": [
+    {
+      "pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
+      "target": "$1",
+      "flags": "i",
+      "on_property": "title",
+      "method": "match"
+    },
+    {
+      "pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
+      "target": "version",
+      "flags": "i",
+      "on_property": "title",
+      "method": "match"
+    }
+  ],
+  "template": "## [#{{TO_TAG}}] - #{{TO_TAG_DATE}}\n\nChanges from #{{FROM_TAG}} to #{{TO_TAG}}.\n\n#{{CHANGELOG}}\n\n[See full release details][release-#{{TO_TAG}}]\n\n[release-#{{TO_TAG}}]: https://github.com/#{{OWNER}}/#{{REPO}}/releases/tag/#{{TO_TAG}}\n\n---",
+  "pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
+  "empty_template": "- no changes"
+}

.github/configuration-unreleased.json

@@ -0,0 +1,68 @@
+{
+  "categories": [
+    {
+      "title": "### ✨ New Features",
+      "labels": ["feat"]
+    },
+    {
+      "title": "### 🌍 Internationalization",
+      "labels": ["i18n"]
+    },
+    {
+      "title": "### 👐 Accessibility",
+      "labels": ["a11y"]
+    },
+    {
+      "title": "### 🔧 Fixes",
+      "labels": ["Fix", "fix"]
+    },
+    {
+      "title": "### ⚙️ Other Changes",
+      "labels": ["ci", "style", "docs", "refactor", "chore"]
+    }
+  ],
+  "ignore_labels": [
+    "🔁 duplicate",
+    "📊 analytics",
+    "🌱 good first issue",
+    "🔍 investigation",
+    "🙏 help wanted",
+    "❌ invalid",
+    "❓ question",
+    "🚫 wontfix",
+    "🚀 release",
+    "version",
+    "action"
+  ],
+  "base_branches": ["main"],
+  "sort": {
+    "order": "ASC",
+    "on_property": "mergedAt"
+  },
+  "label_extractor": [
+    {
+      "pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
+      "target": "$1",
+      "flags": "i",
+      "on_property": "title",
+      "method": "match"
+    },
+    {
+      "pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
+      "target": "version",
+      "flags": "i",
+      "on_property": "title",
+      "method": "match"
+    },
+    {
+      "pattern": "^(?:[^A-Za-z0-9]*)(action)\\b.*",
+      "target": "action",
+      "flags": "i",
+      "on_property": "title",
+      "method": "match"
+    }
+  ],
+  "template": "## [Unreleased]\n\n#{{CHANGELOG}}\n\n---",
+  "pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
+  "empty_template": "- no changes"
+}

.github/workflows/backend-review.yml

@@ -61,4 +61,7 @@ jobs:
         run: cd api && npm run test:ci
 
       - name: Run librechat-data-provider unit tests
-        run: cd packages/data-provider && npm run test:ci
+        run: cd packages/data-provider && npm run test:ci
+
+      - name: Run librechat-mcp unit tests
+        run: cd packages/mcp && npm run test:ci

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

@@ -0,0 +1,94 @@
+name: Generate Release Changelog PR
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'
+
+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 ${GITHUB_REF##*/}"
+          base: main
+          branch: "changelog/${GITHUB_REF##*/}"
+          reviewers: danny-avila
+          title: "chore: update CHANGELOG for release ${GITHUB_REF##*/}"
+          body: |
+            **Description**:
+            - This PR updates the CHANGELOG.md by removing the "Unreleased" section and adding new release notes for release ${GITHUB_REF##*/} above previous releases.

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

@@ -0,0 +1,106 @@
+name: Generate Unreleased Changelog PR
+
+on:
+  schedule:
+    - cron: "0 0 * * 1"  # Runs every Monday at 00:00 UTC
+
+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: "action: update 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/i18n-unused-keys.yml

@@ -4,6 +4,7 @@ on:
   pull_request:
     paths:
       - "client/src/**"
+      - "api/**"
 
 jobs:
   detect-unused-i18n-keys:
@@ -21,7 +22,7 @@ jobs:
 
           # Define paths
           I18N_FILE="client/src/locales/en/translation.json"
-          SOURCE_DIR="client/src"
+          SOURCE_DIRS=("client/src" "api")
 
           # Check if translation file exists
           if [[ ! -f "$I18N_FILE" ]]; then
@@ -37,7 +38,15 @@ jobs:
 
           # Check if each key is used in the source code
           for KEY in $KEYS; do
-            if ! grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$SOURCE_DIR"; then
+            FOUND=false
+            for DIR in "${SOURCE_DIRS[@]}"; do
+              if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
+                FOUND=true
+                break
+              fi
+            done
+          
+            if [[ "$FOUND" == false ]]; then
               UNUSED_KEYS+=("$KEY")
             fi
           done
@@ -59,8 +68,8 @@ jobs:
         run: |
           PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
 
-          # Format the unused keys list correctly, filtering out empty entries
-          FILTERED_KEYS=$(echo "$unused_keys" | jq -r '.[]' | grep -v '^\s*$' | sed 's/^/- `/;s/$/`/' )
+          # Format the unused keys list as checkboxes for easy manual checking.
+          FILTERED_KEYS=$(echo "$unused_keys" | jq -r '.[]' | grep -v '^\s*$' | sed 's/^/- [ ] `/;s/$/`/' )
 
           COMMENT_BODY=$(cat <<EOF
           ### 🚨 Unused i18next Keys Detected
@@ -81,4 +90,4 @@ jobs:
 
       - name: Fail workflow if unused keys found
         if: env.unused_keys != '[]'
-        run: exit 1  # This makes the PR fail if unused keys exist
+        run: exit 1

.github/workflows/unused-packages.yml

@@ -1,6 +1,12 @@
 name: Detect Unused NPM Packages
 
-on: [pull_request]
+on:
+  pull_request:
+    paths:
+      - 'package.json'
+      - 'package-lock.json'
+      - 'client/**'
+      - 'api/**'
 
 jobs:
   detect-unused-packages:

.gitignore

@@ -105,4 +105,5 @@ auth.json
 uploads/
 
 # owner
-release/
+release/
+!/client/src/@types/i18next.d.ts

Dockerfile

@@ -21,7 +21,7 @@ RUN \
     npm config set fetch-retries 5 ; \
     npm config set fetch-retry-mintimeout 15000 ; \
     npm install --no-audit; \
-    # React client build
+    # Build React client
     NODE_OPTIONS="--max-old-space-size=2048" npm run frontend; \
     npm prune --production; \
     npm cache clean --force
@@ -31,6 +31,12 @@ RUN mkdir -p /app/client/public/images /app/api/logs
 # Node API setup
 EXPOSE 3080
 ENV HOST=0.0.0.0
+
+# Define a health check
+HEALTHCHECK --interval=10s --timeout=5s --start-period=30s --retries=3 \
+  CMD curl -f http://localhost:3080/health
+
+# Start the backend service
 CMD ["npm", "run", "backend"]
 
 # Optional: for client with nginx routing

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2024 LibreChat
+Copyright (c) 2025 LibreChat
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -81,7 +81,7 @@
   - [Fork Messages & Conversations](https://www.librechat.ai/docs/features/fork) for Advanced Context control
 
 - 💬 **Multimodal & File Interactions**:  
-  - Upload and analyze images with Claude 3, GPT-4o, o1, Llama-Vision, and Gemini 📸  
+  - Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸  
   - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
 
 - 🌎 **Multilingual UI**:  

api/app/clients/AnthropicClient.js

@@ -7,7 +7,7 @@ const {
   getResponseSender,
   validateVisionModel,
 } = require('librechat-data-provider');
-const { encodeAndFormat } = require('~/server/services/Files/images/encode');
+const { SplitStreamHandler: _Handler, GraphEvents } = require('@librechat/agents');
 const {
   truncateText,
   formatMessage,
@@ -16,16 +16,31 @@ 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 Tokenizer = require('~/server/services/Tokenizer');
+const { logger, sendEvent } = require('~/config');
 const { sleep } = require('~/server/utils');
 const BaseClient = require('./BaseClient');
-const { logger } = require('~/config');
 
 const HUMAN_PROMPT = '\n\nHuman:';
 const AI_PROMPT = '\n\nAssistant:';
 
+class SplitStreamHandler extends _Handler {
+  getDeltaContent(chunk) {
+    return (chunk?.delta?.text ?? chunk?.completion) || '';
+  }
+  getReasoningDelta(chunk) {
+    return chunk?.delta?.thinking || '';
+  }
+}
+
 /** Helper function to introduce a delay before retrying */
 function delayBeforeRetry(attempts, baseDelay = 1000) {
   return new Promise((resolve) => setTimeout(resolve, baseDelay * attempts));
@@ -68,6 +83,8 @@ class AnthropicClient extends BaseClient {
     /** The key for the usage object's output tokens
      * @type {string} */
     this.outputTokensKey = 'output_tokens';
+    /** @type {SplitStreamHandler | undefined} */
+    this.streamHandler;
   }
 
   setOptions(options) {
@@ -97,9 +114,10 @@ class AnthropicClient extends BaseClient {
 
     const modelMatch = matchModelName(this.modelOptions.model, EModelEndpoint.anthropic);
     this.isClaude3 = modelMatch.includes('claude-3');
-    this.isLegacyOutput = !modelMatch.includes('claude-3-5-sonnet');
-    this.supportsCacheControl =
-      this.options.promptCache && this.checkPromptCacheSupport(modelMatch);
+    this.isLegacyOutput = !(
+      /claude-3[-.]5-sonnet/.test(modelMatch) || /claude-3[-.]7/.test(modelMatch)
+    );
+    this.supportsCacheControl = this.options.promptCache && checkPromptCacheSupport(modelMatch);
 
     if (
       this.isLegacyOutput &&
@@ -125,7 +143,7 @@ class AnthropicClient extends BaseClient {
         this.options.endpointType ?? this.options.endpoint,
         this.options.endpointTokenConfig,
       ) ??
-      1500;
+      anthropicSettings.maxOutputTokens.reset(this.modelOptions.model);
     this.maxPromptTokens =
       this.options.maxPromptTokens || this.maxContextTokens - this.maxResponseTokens;
 
@@ -171,18 +189,9 @@ class AnthropicClient extends BaseClient {
       options.baseURL = this.options.reverseProxyUrl;
     }
 
-    if (
-      this.supportsCacheControl &&
-      requestOptions?.model &&
-      requestOptions.model.includes('claude-3-5-sonnet')
-    ) {
-      options.defaultHeaders = {
-        'anthropic-beta': 'max-tokens-3-5-sonnet-2024-07-15,prompt-caching-2024-07-31',
-      };
-    } else if (this.supportsCacheControl) {
-      options.defaultHeaders = {
-        'anthropic-beta': 'prompt-caching-2024-07-31',
-      };
+    const headers = getClaudeHeaders(requestOptions?.model, this.supportsCacheControl);
+    if (headers) {
+      options.defaultHeaders = headers;
     }
 
     return new Anthropic(options);
@@ -668,29 +677,38 @@ class AnthropicClient extends BaseClient {
    * @returns {Promise<Anthropic.default.Message | Anthropic.default.Completion>} The response from the Anthropic client.
    */
   async createResponse(client, options, useMessages) {
-    return useMessages ?? this.useMessages
+    return (useMessages ?? this.useMessages)
       ? await client.messages.create(options)
       : await client.completions.create(options);
   }
 
+  getMessageMapMethod() {
+    /**
+     * @param {TMessage} msg
+     */
+    return (msg) => {
+      if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
+        msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
+      }
+
+      return msg;
+    };
+  }
+
   /**
-   * @param {string} modelName
-   * @returns {boolean}
+   * @param {string[]} [intermediateReply]
+   * @returns {string}
    */
-  checkPromptCacheSupport(modelName) {
-    const modelMatch = matchModelName(modelName, EModelEndpoint.anthropic);
-    if (modelMatch.includes('claude-3-5-sonnet-latest')) {
-      return false;
+  getStreamText(intermediateReply) {
+    if (!this.streamHandler) {
+      return intermediateReply?.join('') ?? '';
     }
-    if (
-      modelMatch === 'claude-3-5-sonnet' ||
-      modelMatch === 'claude-3-5-haiku' ||
-      modelMatch === 'claude-3-haiku' ||
-      modelMatch === 'claude-3-opus'
-    ) {
-      return true;
-    }
-    return false;
+
+    const reasoningText = this.streamHandler.reasoningTokens.join('');
+
+    const reasoningBlock = reasoningText.length > 0 ? `:::thinking\n${reasoningText}\n:::\n` : '';
+
+    return `${reasoningBlock}${this.streamHandler.tokens.join('')}`;
   }
 
   async sendCompletion(payload, { onProgress, abortController }) {
@@ -710,7 +728,6 @@ class AnthropicClient extends BaseClient {
       user_id: this.user,
     };
 
-    let text = '';
     const {
       stream,
       model,
@@ -721,22 +738,34 @@ class AnthropicClient extends BaseClient {
       topK: top_k,
     } = this.modelOptions;
 
-    const requestOptions = {
+    let requestOptions = {
       model,
       stream: stream || true,
       stop_sequences,
       temperature,
       metadata,
-      top_p,
-      top_k,
     };
 
     if (this.useMessages) {
       requestOptions.messages = payload;
-      requestOptions.max_tokens = maxOutputTokens || legacy.maxOutputTokens.default;
+      requestOptions.max_tokens =
+        maxOutputTokens || anthropicSettings.maxOutputTokens.reset(requestOptions.model);
     } else {
       requestOptions.prompt = payload;
-      requestOptions.max_tokens_to_sample = maxOutputTokens || 1500;
+      requestOptions.max_tokens_to_sample = maxOutputTokens || legacy.maxOutputTokens.default;
+    }
+
+    requestOptions = configureReasoning(requestOptions, {
+      thinking: this.options.thinking,
+      thinkingBudget: this.options.thinkingBudget,
+    });
+
+    if (!/claude-3[-.]7/.test(model)) {
+      requestOptions.top_p = top_p;
+      requestOptions.top_k = top_k;
+    } else if (requestOptions.thinking == null) {
+      requestOptions.topP = top_p;
+      requestOptions.topK = top_k;
     }
 
     if (this.systemMessage && this.supportsCacheControl === true) {
@@ -756,13 +785,17 @@ class AnthropicClient extends BaseClient {
     }
 
     logger.debug('[AnthropicClient]', { ...requestOptions });
+    this.streamHandler = new SplitStreamHandler({
+      accumulate: true,
+      runId: this.responseMessageId,
+      handlers: {
+        [GraphEvents.ON_RUN_STEP]: (event) => sendEvent(this.options.res, event),
+        [GraphEvents.ON_MESSAGE_DELTA]: (event) => sendEvent(this.options.res, event),
+        [GraphEvents.ON_REASONING_DELTA]: (event) => sendEvent(this.options.res, event),
+      },
+    });
 
-    const handleChunk = (currentChunk) => {
-      if (currentChunk) {
-        text += currentChunk;
-        onProgress(currentChunk);
-      }
-    };
+    let intermediateReply = this.streamHandler.tokens;
 
     const maxRetries = 3;
     const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
@@ -783,22 +816,15 @@ class AnthropicClient extends BaseClient {
           });
 
           for await (const completion of response) {
-            // Handle each completion as before
             const type = completion?.type ?? '';
             if (tokenEventTypes.has(type)) {
               logger.debug(`[AnthropicClient] ${type}`, completion);
               this[type] = completion;
             }
-            if (completion?.delta?.text) {
-              handleChunk(completion.delta.text);
-            } else if (completion.completion) {
-              handleChunk(completion.completion);
-            }
-
+            this.streamHandler.handle(completion);
             await sleep(streamRate);
           }
 
-          // Successful processing, exit loop
           break;
         } catch (error) {
           attempts += 1;
@@ -808,6 +834,10 @@ class AnthropicClient extends BaseClient {
 
           if (attempts < maxRetries) {
             await delayBeforeRetry(attempts, 350);
+          } else if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
+            return this.getStreamText();
+          } else if (intermediateReply.length > 0) {
+            return this.getStreamText(intermediateReply);
           } else {
             throw new Error(`Operation failed after ${maxRetries} attempts: ${error.message}`);
           }
@@ -823,8 +853,7 @@ class AnthropicClient extends BaseClient {
     }
 
     await processResponse.bind(this)();
-
-    return text.trim();
+    return this.getStreamText(intermediateReply);
   }
 
   getSaveOptions() {
@@ -834,6 +863,8 @@ class AnthropicClient extends BaseClient {
       promptPrefix: this.options.promptPrefix,
       modelLabel: this.options.modelLabel,
       promptCache: this.options.promptCache,
+      thinking: this.options.thinking,
+      thinkingBudget: this.options.thinkingBudget,
       resendFiles: this.options.resendFiles,
       iconURL: this.options.iconURL,
       greeting: this.options.greeting,

api/app/clients/BaseClient.js

@@ -5,10 +5,11 @@ const {
   isAgentsEndpoint,
   isParamEndpoint,
   EModelEndpoint,
+  excludedKeys,
   ErrorTypes,
   Constants,
 } = require('librechat-data-provider');
-const { getMessages, saveMessage, updateMessage, saveConvo } = require('~/models');
+const { getMessages, saveMessage, updateMessage, saveConvo, getConvo } = require('~/models');
 const { addSpaceIfNeeded, isEnabled } = require('~/server/utils');
 const { truncateToolCallOutputs } = require('./prompts');
 const checkBalance = require('~/models/checkBalance');
@@ -55,6 +56,10 @@ class BaseClient {
      * Flag to determine if the client re-submitted the latest assistant message.
      * @type {boolean | undefined} */
     this.continued;
+    /**
+     * Flag to determine if the client has already fetched the conversation while saving new messages.
+     * @type {boolean | undefined} */
+    this.fetchedConvo;
     /** @type {TMessage[]} */
     this.currentMessages = [];
     /** @type {import('librechat-data-provider').VisionModes | undefined} */
@@ -863,16 +868,39 @@ class BaseClient {
       return { message: savedMessage };
     }
 
-    const conversation = await saveConvo(
-      this.options.req,
-      {
-        conversationId: message.conversationId,
-        endpoint: this.options.endpoint,
-        endpointType: this.options.endpointType,
-        ...endpointOptions,
-      },
-      { context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo' },
-    );
+    const fieldsToKeep = {
+      conversationId: message.conversationId,
+      endpoint: this.options.endpoint,
+      endpointType: this.options.endpointType,
+      ...endpointOptions,
+    };
+
+    const existingConvo =
+      this.fetchedConvo === true
+        ? null
+        : await getConvo(this.options.req?.user?.id, message.conversationId);
+
+    const unsetFields = {};
+    if (existingConvo != null) {
+      this.fetchedConvo = true;
+      for (const key in existingConvo) {
+        if (!key) {
+          continue;
+        }
+        if (excludedKeys.has(key)) {
+          continue;
+        }
+
+        if (endpointOptions?.[key] === undefined) {
+          unsetFields[key] = 1;
+        }
+      }
+    }
+
+    const conversation = await saveConvo(this.options.req, fieldsToKeep, {
+      context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo',
+      unsetFields,
+    });
 
     return { message: savedMessage, conversation };
   }

api/app/clients/GoogleClient.js

@@ -51,7 +51,7 @@ class GoogleClient extends BaseClient {
 
     const serviceKey = creds[AuthKeys.GOOGLE_SERVICE_KEY] ?? {};
     this.serviceKey =
-      serviceKey && typeof serviceKey === 'string' ? JSON.parse(serviceKey) : serviceKey ?? {};
+      serviceKey && typeof serviceKey === 'string' ? JSON.parse(serviceKey) : (serviceKey ?? {});
     /** @type {string | null | undefined} */
     this.project_id = this.serviceKey.project_id;
     this.client_email = this.serviceKey.client_email;
@@ -73,6 +73,8 @@ class GoogleClient extends BaseClient {
      * @type {string} */
     this.outputTokensKey = 'output_tokens';
     this.visionMode = VisionModes.generative;
+    /** @type {string} */
+    this.systemMessage;
     if (options.skipSetOptions) {
       return;
     }
@@ -184,7 +186,7 @@ class GoogleClient extends BaseClient {
     if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
       promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
     }
-    this.options.promptPrefix = promptPrefix;
+    this.systemMessage = promptPrefix;
     this.initializeClient();
     return this;
   }
@@ -314,7 +316,7 @@ class GoogleClient extends BaseClient {
       }
 
       this.augmentedPrompt = await this.contextHandlers.createContext();
-      this.options.promptPrefix = this.augmentedPrompt + this.options.promptPrefix;
+      this.systemMessage = this.augmentedPrompt + this.systemMessage;
     }
   }
 
@@ -361,8 +363,8 @@ class GoogleClient extends BaseClient {
       throw new Error('[GoogleClient] PaLM 2 and Codey models are no longer supported.');
     }
 
-    if (this.options.promptPrefix) {
-      const instructionsTokenCount = this.getTokenCount(this.options.promptPrefix);
+    if (this.systemMessage) {
+      const instructionsTokenCount = this.getTokenCount(this.systemMessage);
 
       this.maxContextTokens = this.maxContextTokens - instructionsTokenCount;
       if (this.maxContextTokens < 0) {
@@ -417,8 +419,8 @@ class GoogleClient extends BaseClient {
       ],
     };
 
-    if (this.options.promptPrefix) {
-      payload.instances[0].context = this.options.promptPrefix;
+    if (this.systemMessage) {
+      payload.instances[0].context = this.systemMessage;
     }
 
     logger.debug('[GoogleClient] buildMessages', payload);
@@ -464,7 +466,7 @@ class GoogleClient extends BaseClient {
       identityPrefix = `${identityPrefix}\nYou are ${this.options.modelLabel}`;
     }
 
-    let promptPrefix = (this.options.promptPrefix ?? '').trim();
+    let promptPrefix = (this.systemMessage ?? '').trim();
 
     if (identityPrefix) {
       promptPrefix = `${identityPrefix}${promptPrefix}`;
@@ -639,7 +641,7 @@ class GoogleClient extends BaseClient {
     let error;
     try {
       if (!EXCLUDED_GENAI_MODELS.test(modelName) && !this.project_id) {
-        /** @type {GenAI} */
+        /** @type {GenerativeModel} */
         const client = this.client;
         /** @type {GenerateContentRequest} */
         const requestOptions = {
@@ -648,7 +650,7 @@ class GoogleClient extends BaseClient {
           generationConfig: googleGenConfigSchema.parse(this.modelOptions),
         };
 
-        const promptPrefix = (this.options.promptPrefix ?? '').trim();
+        const promptPrefix = (this.systemMessage ?? '').trim();
         if (promptPrefix.length) {
           requestOptions.systemInstruction = {
             parts: [
@@ -663,7 +665,17 @@ class GoogleClient extends BaseClient {
         /** @type {GenAIUsageMetadata} */
         let usageMetadata;
 
-        const result = await client.generateContentStream(requestOptions);
+        abortController.signal.addEventListener(
+          'abort',
+          () => {
+            logger.warn('[GoogleClient] Request was aborted', abortController.signal.reason);
+          },
+          { once: true },
+        );
+
+        const result = await client.generateContentStream(requestOptions, {
+          signal: abortController.signal,
+        });
         for await (const chunk of result.stream) {
           usageMetadata = !usageMetadata
             ? chunk?.usageMetadata

api/app/clients/OllamaClient.js

@@ -2,7 +2,7 @@ const { z } = require('zod');
 const axios = require('axios');
 const { Ollama } = require('ollama');
 const { Constants } = require('librechat-data-provider');
-const { deriveBaseURL } = require('~/utils');
+const { deriveBaseURL, logAxiosError } = require('~/utils');
 const { sleep } = require('~/server/utils');
 const { logger } = require('~/config');
 
@@ -68,7 +68,7 @@ class OllamaClient {
     } catch (error) {
       const logMessage =
         'Failed to fetch models from Ollama API. If you are not using Ollama directly, and instead, through some aggregator or reverse proxy that handles fetching via OpenAI spec, ensure the name of the endpoint doesn\'t start with `ollama` (case-insensitive).';
-      logger.error(logMessage, error);
+      logAxiosError({ message: logMessage, error });
       return [];
     }
   }

api/app/clients/OpenAIClient.js

@@ -7,6 +7,7 @@ const {
   ImageDetail,
   EModelEndpoint,
   resolveHeaders,
+  KnownEndpoints,
   openAISettings,
   ImageDetailCost,
   CohereConstants,
@@ -108,19 +109,10 @@ class OpenAIClient extends BaseClient {
     const omniPattern = /\b(o1|o3)\b/i;
     this.isOmni = omniPattern.test(this.modelOptions.model);
 
-    const { OPENROUTER_API_KEY, OPENAI_FORCE_PROMPT } = process.env ?? {};
-    if (OPENROUTER_API_KEY && !this.azure) {
-      this.apiKey = OPENROUTER_API_KEY;
-      this.useOpenRouter = true;
-    }
-
+    const { OPENAI_FORCE_PROMPT } = process.env ?? {};
     const { reverseProxyUrl: reverseProxy } = this.options;
 
-    if (
-      !this.useOpenRouter &&
-      reverseProxy &&
-      reverseProxy.includes('https://openrouter.ai/api/v1')
-    ) {
+    if (!this.useOpenRouter && reverseProxy && reverseProxy.includes(KnownEndpoints.openrouter)) {
       this.useOpenRouter = true;
     }
 
@@ -306,7 +298,9 @@ class OpenAIClient extends BaseClient {
   }
 
   getEncoding() {
-    return this.model?.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
+    return this.modelOptions?.model && /gpt-4[^-\s]/.test(this.modelOptions.model)
+      ? 'o200k_base'
+      : 'cl100k_base';
   }
 
   /**
@@ -613,7 +607,7 @@ class OpenAIClient extends BaseClient {
   }
 
   initializeLLM({
-    model = 'gpt-4o-mini',
+    model = openAISettings.model.default,
     modelName,
     temperature = 0.2,
     max_tokens,
@@ -714,7 +708,7 @@ class OpenAIClient extends BaseClient {
 
     const { OPENAI_TITLE_MODEL } = process.env ?? {};
 
-    let model = this.options.titleModel ?? OPENAI_TITLE_MODEL ?? 'gpt-4o-mini';
+    let model = this.options.titleModel ?? OPENAI_TITLE_MODEL ?? openAISettings.model.default;
     if (model === Constants.CURRENT_MODEL) {
       model = this.modelOptions.model;
     }
@@ -907,7 +901,7 @@ ${convo}
     let prompt;
 
     // TODO: remove the gpt fallback and make it specific to endpoint
-    const { OPENAI_SUMMARY_MODEL = 'gpt-4o-mini' } = process.env ?? {};
+    const { OPENAI_SUMMARY_MODEL = openAISettings.model.default } = process.env ?? {};
     let model = this.options.summaryModel ?? OPENAI_SUMMARY_MODEL;
     if (model === Constants.CURRENT_MODEL) {
       model = this.modelOptions.model;
@@ -1066,9 +1060,14 @@ ${convo}
     });
   }
 
-  getStreamText() {
+  /**
+   *
+   * @param {string[]} [intermediateReply]
+   * @returns {string}
+   */
+  getStreamText(intermediateReply) {
     if (!this.streamHandler) {
-      return '';
+      return intermediateReply?.join('') ?? '';
     }
 
     let thinkMatch;
@@ -1088,7 +1087,10 @@ ${convo}
       }
     }
 
-    const reasoningTokens = reasoningText.length > 0 ? `:::thinking\n${reasoningText}\n:::\n` : '';
+    const reasoningTokens =
+      reasoningText.length > 0
+        ? `:::thinking\n${reasoningText.replace('<think>', '').replace('</think>', '').trim()}\n:::\n`
+        : '';
 
     return `${reasoningTokens}${this.streamHandler.tokens.join('')}`;
   }
@@ -1309,6 +1311,12 @@ ${convo}
         modelOptions.include_reasoning = true;
         reasoningKey = 'reasoning';
       }
+      if (this.useOpenRouter && modelOptions.reasoning_effort != null) {
+        modelOptions.reasoning = {
+          effort: modelOptions.reasoning_effort,
+        };
+        delete modelOptions.reasoning_effort;
+      }
 
       this.streamHandler = new SplitStreamHandler({
         reasoningKey,
@@ -1327,11 +1335,19 @@ ${convo}
         streamPromise = new Promise((resolve) => {
           streamResolve = resolve;
         });
+        /** @type {OpenAI.OpenAI.CompletionCreateParamsStreaming} */
+        const params = {
+          ...modelOptions,
+          stream: true,
+        };
+        if (
+          this.options.endpoint === EModelEndpoint.openAI ||
+          this.options.endpoint === EModelEndpoint.azureOpenAI
+        ) {
+          params.stream_options = { include_usage: true };
+        }
         const stream = await openai.beta.chat.completions
-          .stream({
-            ...modelOptions,
-            stream: true,
-          })
+          .stream(params)
           .on('abort', () => {
             /* Do nothing here */
           })
@@ -1471,7 +1487,7 @@ ${convo}
         err?.message?.includes('abort') ||
         (err instanceof OpenAI.APIError && err?.message?.includes('abort'))
       ) {
-        return intermediateReply.join('');
+        return this.getStreamText(intermediateReply);
       }
       if (
         err?.message?.includes(
@@ -1489,7 +1505,7 @@ ${convo}
         if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
           return this.getStreamText();
         } else if (intermediateReply.length > 0) {
-          return intermediateReply.join('');
+          return this.getStreamText(intermediateReply);
         } else {
           throw err;
         }
@@ -1497,7 +1513,7 @@ ${convo}
         if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
           return this.getStreamText();
         } else if (intermediateReply.length > 0) {
-          return intermediateReply.join('');
+          return this.getStreamText(intermediateReply);
         } else {
           throw err;
         }

api/app/clients/prompts/addCacheControl.js

@@ -1,7 +1,7 @@
 /**
  * Anthropic API: Adds cache control to the appropriate user messages in the payload.
- * @param {Array<AnthropicMessage>} messages - The array of message objects.
- * @returns {Array<AnthropicMessage>} - The updated array of message objects with cache control added.
+ * @param {Array<AnthropicMessage | BaseMessage>} messages - The array of message objects.
+ * @returns {Array<AnthropicMessage | BaseMessage>} - The updated array of message objects with cache control added.
  */
 function addCacheControl(messages) {
   if (!Array.isArray(messages) || messages.length < 2) {
@@ -13,7 +13,9 @@ function addCacheControl(messages) {
 
   for (let i = updatedMessages.length - 1; i >= 0 && userMessagesModified < 2; i--) {
     const message = updatedMessages[i];
-    if (message.role !== 'user') {
+    if (message.getType != null && message.getType() !== 'human') {
+      continue;
+    } else if (message.getType == null && message.role !== 'user') {
       continue;
     }
 

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

@@ -282,4 +282,47 @@ describe('formatAgentMessages', () => {
     // Additional check to ensure the consecutive assistant messages were combined
     expect(result[1].content).toHaveLength(2);
   });
+
+  it('should skip THINK type content parts', () => {
+    const payload = [
+      {
+        role: 'assistant',
+        content: [
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Initial response' },
+          { type: ContentTypes.THINK, [ContentTypes.THINK]: 'Reasoning about the problem...' },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
+        ],
+      },
+    ];
+
+    const result = formatAgentMessages(payload);
+
+    expect(result).toHaveLength(1);
+    expect(result[0]).toBeInstanceOf(AIMessage);
+    expect(result[0].content).toEqual('Initial response\nFinal answer');
+  });
+
+  it('should join TEXT content as string when THINK content type is present', () => {
+    const payload = [
+      {
+        role: 'assistant',
+        content: [
+          { type: ContentTypes.THINK, [ContentTypes.THINK]: 'Analyzing the problem...' },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'First part of response' },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Second part of response' },
+          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final part of response' },
+        ],
+      },
+    ];
+
+    const result = formatAgentMessages(payload);
+
+    expect(result).toHaveLength(1);
+    expect(result[0]).toBeInstanceOf(AIMessage);
+    expect(typeof result[0].content).toBe('string');
+    expect(result[0].content).toBe(
+      'First part of response\nSecond part of response\nFinal part of response',
+    );
+    expect(result[0].content).not.toContain('Analyzing the problem...');
+  });
 });

api/app/clients/prompts/formatMessages.js

@@ -153,6 +153,7 @@ const formatAgentMessages = (payload) => {
     let currentContent = [];
     let lastAIMessage = null;
 
+    let hasReasoning = false;
     for (const part of message.content) {
       if (part.type === ContentTypes.TEXT && part.tool_call_ids) {
         /*
@@ -207,11 +208,25 @@ const formatAgentMessages = (payload) => {
             content: output || '',
           }),
         );
+      } else if (part.type === ContentTypes.THINK) {
+        hasReasoning = true;
+        continue;
       } else {
         currentContent.push(part);
       }
     }
 
+    if (hasReasoning) {
+      currentContent = currentContent
+        .reduce((acc, curr) => {
+          if (curr.type === ContentTypes.TEXT) {
+            return `${acc}${curr[ContentTypes.TEXT]}\n`;
+          }
+          return acc;
+        }, '')
+        .trim();
+    }
+
     if (currentContent.length > 0) {
       messages.push(new AIMessage({ content: currentContent }));
     }

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

@@ -1,3 +1,4 @@
+const { SplitStreamHandler } = require('@librechat/agents');
 const { anthropicSettings } = require('librechat-data-provider');
 const AnthropicClient = require('~/app/clients/AnthropicClient');
 
@@ -405,4 +406,327 @@ describe('AnthropicClient', () => {
       expect(Number.isNaN(result)).toBe(false);
     });
   });
+
+  describe('maxOutputTokens handling for different models', () => {
+    it('should not cap maxOutputTokens for Claude 3.5 Sonnet models', () => {
+      const client = new AnthropicClient('test-api-key');
+      const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 10;
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-5-sonnet',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
+
+      // Test with decimal notation
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3.5-sonnet',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
+    });
+
+    it('should not cap maxOutputTokens for Claude 3.7 models', () => {
+      const client = new AnthropicClient('test-api-key');
+      const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 2;
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-7-sonnet',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
+
+      // Test with decimal notation
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3.7-sonnet',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(highTokenValue);
+    });
+
+    it('should cap maxOutputTokens for Claude 3.5 Haiku models', () => {
+      const client = new AnthropicClient('test-api-key');
+      const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 2;
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-5-haiku',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(
+        anthropicSettings.legacy.maxOutputTokens.default,
+      );
+
+      // Test with decimal notation
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3.5-haiku',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(
+        anthropicSettings.legacy.maxOutputTokens.default,
+      );
+    });
+
+    it('should cap maxOutputTokens for Claude 3 Haiku and Opus models', () => {
+      const client = new AnthropicClient('test-api-key');
+      const highTokenValue = anthropicSettings.legacy.maxOutputTokens.default * 2;
+
+      // Test haiku
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-haiku',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(
+        anthropicSettings.legacy.maxOutputTokens.default,
+      );
+
+      // Test opus
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-opus',
+          maxOutputTokens: highTokenValue,
+        },
+      });
+
+      expect(client.modelOptions.maxOutputTokens).toBe(
+        anthropicSettings.legacy.maxOutputTokens.default,
+      );
+    });
+  });
+
+  describe('topK/topP parameters for different models', () => {
+    beforeEach(() => {
+      // Mock the SplitStreamHandler
+      jest.spyOn(SplitStreamHandler.prototype, 'handle').mockImplementation(() => {});
+    });
+
+    afterEach(() => {
+      jest.restoreAllMocks();
+    });
+
+    it('should include top_k and top_p parameters for non-claude-3.7 models', async () => {
+      const client = new AnthropicClient('test-api-key');
+
+      // Create a mock async generator function
+      async function* mockAsyncGenerator() {
+        yield { type: 'message_start', message: { usage: {} } };
+        yield { delta: { text: 'Test response' } };
+        yield { type: 'message_delta', usage: {} };
+      }
+
+      // Mock createResponse to return the async generator
+      jest.spyOn(client, 'createResponse').mockImplementation(() => {
+        return mockAsyncGenerator();
+      });
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-opus',
+          temperature: 0.7,
+          topK: 10,
+          topP: 0.9,
+        },
+      });
+
+      // Mock getClient to capture the request options
+      let capturedOptions = null;
+      jest.spyOn(client, 'getClient').mockImplementation((options) => {
+        capturedOptions = options;
+        return {};
+      });
+
+      const payload = [{ role: 'user', content: 'Test message' }];
+      await client.sendCompletion(payload, {});
+
+      // Check the options passed to getClient
+      expect(capturedOptions).toHaveProperty('top_k', 10);
+      expect(capturedOptions).toHaveProperty('top_p', 0.9);
+    });
+
+    it('should include top_k and top_p parameters for claude-3-5-sonnet models', async () => {
+      const client = new AnthropicClient('test-api-key');
+
+      // Create a mock async generator function
+      async function* mockAsyncGenerator() {
+        yield { type: 'message_start', message: { usage: {} } };
+        yield { delta: { text: 'Test response' } };
+        yield { type: 'message_delta', usage: {} };
+      }
+
+      // Mock createResponse to return the async generator
+      jest.spyOn(client, 'createResponse').mockImplementation(() => {
+        return mockAsyncGenerator();
+      });
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-5-sonnet',
+          temperature: 0.7,
+          topK: 10,
+          topP: 0.9,
+        },
+      });
+
+      // Mock getClient to capture the request options
+      let capturedOptions = null;
+      jest.spyOn(client, 'getClient').mockImplementation((options) => {
+        capturedOptions = options;
+        return {};
+      });
+
+      const payload = [{ role: 'user', content: 'Test message' }];
+      await client.sendCompletion(payload, {});
+
+      // Check the options passed to getClient
+      expect(capturedOptions).toHaveProperty('top_k', 10);
+      expect(capturedOptions).toHaveProperty('top_p', 0.9);
+    });
+
+    it('should not include top_k and top_p parameters for claude-3-7-sonnet models', async () => {
+      const client = new AnthropicClient('test-api-key');
+
+      // Create a mock async generator function
+      async function* mockAsyncGenerator() {
+        yield { type: 'message_start', message: { usage: {} } };
+        yield { delta: { text: 'Test response' } };
+        yield { type: 'message_delta', usage: {} };
+      }
+
+      // Mock createResponse to return the async generator
+      jest.spyOn(client, 'createResponse').mockImplementation(() => {
+        return mockAsyncGenerator();
+      });
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3-7-sonnet',
+          temperature: 0.7,
+          topK: 10,
+          topP: 0.9,
+        },
+      });
+
+      // Mock getClient to capture the request options
+      let capturedOptions = null;
+      jest.spyOn(client, 'getClient').mockImplementation((options) => {
+        capturedOptions = options;
+        return {};
+      });
+
+      const payload = [{ role: 'user', content: 'Test message' }];
+      await client.sendCompletion(payload, {});
+
+      // Check the options passed to getClient
+      expect(capturedOptions).not.toHaveProperty('top_k');
+      expect(capturedOptions).not.toHaveProperty('top_p');
+    });
+
+    it('should not include top_k and top_p parameters for models with decimal notation (claude-3.7)', async () => {
+      const client = new AnthropicClient('test-api-key');
+
+      // Create a mock async generator function
+      async function* mockAsyncGenerator() {
+        yield { type: 'message_start', message: { usage: {} } };
+        yield { delta: { text: 'Test response' } };
+        yield { type: 'message_delta', usage: {} };
+      }
+
+      // Mock createResponse to return the async generator
+      jest.spyOn(client, 'createResponse').mockImplementation(() => {
+        return mockAsyncGenerator();
+      });
+
+      client.setOptions({
+        modelOptions: {
+          model: 'claude-3.7-sonnet',
+          temperature: 0.7,
+          topK: 10,
+          topP: 0.9,
+        },
+      });
+
+      // Mock getClient to capture the request options
+      let capturedOptions = null;
+      jest.spyOn(client, 'getClient').mockImplementation((options) => {
+        capturedOptions = options;
+        return {};
+      });
+
+      const payload = [{ role: 'user', content: 'Test message' }];
+      await client.sendCompletion(payload, {});
+
+      // Check the options passed to getClient
+      expect(capturedOptions).not.toHaveProperty('top_k');
+      expect(capturedOptions).not.toHaveProperty('top_p');
+    });
+  });
+
+  it('should include top_k and top_p parameters for Claude-3.7 models when thinking is explicitly disabled', async () => {
+    const client = new AnthropicClient('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        temperature: 0.7,
+        topK: 10,
+        topP: 0.9,
+      },
+      thinking: false,
+    });
+
+    async function* mockAsyncGenerator() {
+      yield { type: 'message_start', message: { usage: {} } };
+      yield { delta: { text: 'Test response' } };
+      yield { type: 'message_delta', usage: {} };
+    }
+
+    jest.spyOn(client, 'createResponse').mockImplementation(() => {
+      return mockAsyncGenerator();
+    });
+
+    let capturedOptions = null;
+    jest.spyOn(client, 'getClient').mockImplementation((options) => {
+      capturedOptions = options;
+      return {};
+    });
+
+    const payload = [{ role: 'user', content: 'Test message' }];
+    await client.sendCompletion(payload, {});
+
+    expect(capturedOptions).toHaveProperty('topK', 10);
+    expect(capturedOptions).toHaveProperty('topP', 0.9);
+
+    client.setOptions({
+      modelOptions: {
+        model: 'claude-3.7-sonnet',
+        temperature: 0.7,
+        topK: 10,
+        topP: 0.9,
+      },
+      thinking: false,
+    });
+
+    await client.sendCompletion(payload, {});
+
+    expect(capturedOptions).toHaveProperty('topK', 10);
+    expect(capturedOptions).toHaveProperty('topP', 0.9);
+  });
 });

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

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

api/app/clients/specs/FakeClient.js

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

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

@@ -202,14 +202,6 @@ describe('OpenAIClient', () => {
       expect(client.modelOptions.temperature).toBe(0.7);
     });
 
-    it('should set apiKey and useOpenRouter if OPENROUTER_API_KEY is present', () => {
-      process.env.OPENROUTER_API_KEY = 'openrouter-key';
-      client.setOptions({});
-      expect(client.apiKey).toBe('openrouter-key');
-      expect(client.useOpenRouter).toBe(true);
-      delete process.env.OPENROUTER_API_KEY; // Cleanup
-    });
-
     it('should set FORCE_PROMPT based on OPENAI_FORCE_PROMPT or reverseProxyUrl', () => {
       process.env.OPENAI_FORCE_PROMPT = 'true';
       client.setOptions({});
@@ -534,7 +526,6 @@ describe('OpenAIClient', () => {
     afterEach(() => {
       delete process.env.AZURE_OPENAI_DEFAULT_MODEL;
       delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
-      delete process.env.OPENROUTER_API_KEY;
     });
 
     it('should call getCompletion and fetchEventSource when using a text/instruct model', async () => {

api/app/clients/tools/index.js

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

api/app/clients/tools/manifest.json

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

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

@@ -1,14 +1,17 @@
 const { z } = require('zod');
 const path = require('path');
 const OpenAI = require('openai');
+const fetch = require('node-fetch');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
 const { HttpsProxyAgent } = require('https-proxy-agent');
-const { FileContext } = require('librechat-data-provider');
+const { FileContext, ContentTypes } = require('librechat-data-provider');
 const { getImageBasename } = require('~/server/services/Files/images');
 const extractBaseURL = require('~/utils/extractBaseURL');
 const { logger } = require('~/config');
 
+const displayMessage =
+  'DALL-E displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.';
 class DALLE3 extends Tool {
   constructor(fields = {}) {
     super();
@@ -114,10 +117,7 @@ class DALLE3 extends Tool {
     if (this.isAgent === true && typeof value === 'string') {
       return [value, {}];
     } else if (this.isAgent === true && typeof value === 'object') {
-      return [
-        'DALL-E displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.',
-        value,
-      ];
+      return [displayMessage, value];
     }
 
     return value;
@@ -160,6 +160,32 @@ Error Message: ${error.message}`);
       );
     }
 
+    if (this.isAgent) {
+      let fetchOptions = {};
+      if (process.env.PROXY) {
+        fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
+      }
+      const imageResponse = await fetch(theImageUrl, fetchOptions);
+      const arrayBuffer = await imageResponse.arrayBuffer();
+      const base64 = Buffer.from(arrayBuffer).toString('base64');
+      const content = [
+        {
+          type: ContentTypes.IMAGE_URL,
+          image_url: {
+            url: `data:image/jpeg;base64,${base64}`,
+          },
+        },
+      ];
+
+      const response = [
+        {
+          type: ContentTypes.TEXT,
+          text: displayMessage,
+        },
+      ];
+      return [response, { content }];
+    }
+
     const imageBasename = getImageBasename(theImageUrl);
     const imageExt = path.extname(imageBasename);
 

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

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

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

@@ -6,10 +6,13 @@ const axios = require('axios');
 const sharp = require('sharp');
 const { v4: uuidv4 } = require('uuid');
 const { Tool } = require('@langchain/core/tools');
-const { FileContext } = require('librechat-data-provider');
+const { FileContext, ContentTypes } = require('librechat-data-provider');
 const paths = require('~/config/paths');
 const { logger } = require('~/config');
 
+const displayMessage =
+  'Stable Diffusion displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.';
+
 class StableDiffusionAPI extends Tool {
   constructor(fields) {
     super();
@@ -21,6 +24,8 @@ class StableDiffusionAPI extends Tool {
     this.override = fields.override ?? false;
     /** @type {boolean} Necessary for output to contain all image metadata. */
     this.returnMetadata = fields.returnMetadata ?? false;
+    /** @type {boolean} */
+    this.isAgent = fields.isAgent;
     if (fields.uploadImageBuffer) {
       /** @type {uploadImageBuffer} Necessary for output to contain all image metadata. */
       this.uploadImageBuffer = fields.uploadImageBuffer.bind(this);
@@ -66,6 +71,16 @@ class StableDiffusionAPI extends Tool {
     return `![generated image](/${imageUrl})`;
   }
 
+  returnValue(value) {
+    if (this.isAgent === true && typeof value === 'string') {
+      return [value, {}];
+    } else if (this.isAgent === true && typeof value === 'object') {
+      return [displayMessage, value];
+    }
+
+    return value;
+  }
+
   getServerURL() {
     const url = process.env.SD_WEBUI_URL || '';
     if (!url && !this.override) {
@@ -113,6 +128,25 @@ class StableDiffusionAPI extends Tool {
     }
 
     try {
+      if (this.isAgent) {
+        const content = [
+          {
+            type: ContentTypes.IMAGE_URL,
+            image_url: {
+              url: `data:image/png;base64,${image}`,
+            },
+          },
+        ];
+
+        const response = [
+          {
+            type: ContentTypes.TEXT,
+            text: displayMessage,
+          },
+        ];
+        return [response, { content }];
+      }
+
       const buffer = Buffer.from(image.split(',', 1)[0], 'base64');
       if (this.returnMetadata && this.uploadImageBuffer && this.req) {
         const file = await this.uploadImageBuffer({
@@ -154,7 +188,7 @@ class StableDiffusionAPI extends Tool {
       logger.error('[StableDiffusion] Error while saving the image:', error);
     }
 
-    return this.result;
+    return this.returnValue(this.result);
   }
 }
 

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

@@ -106,18 +106,21 @@ const createFileSearchTool = async ({ req, files, entity_id }) => {
 
       const formattedResults = validResults
         .flatMap((result) =>
-          result.data.map(([docInfo, relevanceScore]) => ({
+          result.data.map(([docInfo, distance]) => ({
             filename: docInfo.metadata.source.split('/').pop(),
             content: docInfo.page_content,
-            relevanceScore,
+            distance,
           })),
         )
-        .sort((a, b) => b.relevanceScore - a.relevanceScore);
+        // TODO: results should be sorted by relevance, not distance
+        .sort((a, b) => a.distance - b.distance)
+        // TODO: make this configurable
+        .slice(0, 10);
 
       const formattedString = formattedResults
         .map(
           (result) =>
-            `File: ${result.filename}\nRelevance: ${result.relevanceScore.toFixed(4)}\nContent: ${
+            `File: ${result.filename}\nRelevance: ${1.0 - result.distance.toFixed(4)}\nContent: ${
               result.content
             }\n`,
         )

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

@@ -10,6 +10,7 @@ const {
   GoogleSearchAPI,
   // Structured Tools
   DALLE3,
+  FluxAPI,
   OpenWeather,
   StructuredSD,
   StructuredACS,
@@ -182,6 +183,7 @@ const loadTools = async ({
   returnMap = false,
 }) => {
   const toolConstructors = {
+    flux: FluxAPI,
     calculator: Calculator,
     google: GoogleSearchAPI,
     open_weather: OpenWeather,
@@ -230,9 +232,10 @@ const loadTools = async ({
   };
 
   const toolOptions = {
-    serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
+    flux: imageGenOptions,
     dalle: imageGenOptions,
     'stable-diffusion': imageGenOptions,
+    serpapi: { location: 'Austin,Texas,United States', hl: 'en', gl: 'us' },
   };
 
   const toolContextMap = {};

api/cache/keyvRedis.js

@@ -1,15 +1,81 @@
+const fs = require('fs');
+const ioredis = require('ioredis');
 const KeyvRedis = require('@keyv/redis');
 const { isEnabled } = require('~/server/utils');
 const logger = require('~/config/winston');
 
-const { REDIS_URI, USE_REDIS } = process.env;
+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) || 10;
+
+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)) {
-  keyvRedis = new KeyvRedis(REDIS_URI, { useRedisSets: false });
+  let redisOptions = null;
+  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);
+  }
   keyvRedis.on('error', (err) => logger.error('KeyvRedis connection error:', err));
-  keyvRedis.setMaxListeners(20);
+  keyvRedis.setMaxListeners(redis_max_listeners);
   logger.info(
     '[Optional] Redis initialized. Note: Redis support is experimental. If you have issues, disable it. Cache needs to be flushed for values to refresh.',
   );

api/lib/db/indexSync.js

@@ -1,9 +1,11 @@
 const { MeiliSearch } = require('meilisearch');
 const Conversation = require('~/models/schema/convoSchema');
 const Message = require('~/models/schema/messageSchema');
+const { isEnabled } = require('~/server/utils');
 const { logger } = require('~/config');
 
-const searchEnabled = process.env?.SEARCH?.toLowerCase() === 'true';
+const searchEnabled = isEnabled(process.env.SEARCH);
+const indexingDisabled = isEnabled(process.env.MEILI_NO_SYNC);
 let currentTimeout = null;
 
 class MeiliSearchClient {
@@ -23,8 +25,7 @@ class MeiliSearchClient {
   }
 }
 
-// eslint-disable-next-line no-unused-vars
-async function indexSync(req, res, next) {
+async function indexSync() {
   if (!searchEnabled) {
     return;
   }
@@ -33,10 +34,15 @@ async function indexSync(req, res, next) {
     const client = MeiliSearchClient.getInstance();
 
     const { status } = await client.health();
-    if (status !== 'available' || !process.env.SEARCH) {
+    if (status !== 'available') {
       throw new Error('Meilisearch not available');
     }
 
+    if (indexingDisabled === true) {
+      logger.info('[indexSync] Indexing is disabled, skipping...');
+      return;
+    }
+
     const messageCount = await Message.countDocuments();
     const convoCount = await Conversation.countDocuments();
     const messages = await client.index('messages').getStats();
@@ -71,7 +77,6 @@ async function indexSync(req, res, next) {
       logger.info('[indexSync] Meilisearch not configured, search will be disabled.');
     } else {
       logger.error('[indexSync] error', err);
-      // res.status(500).json({ error: 'Server error' });
     }
   }
 }

api/models/Agent.js

@@ -97,11 +97,22 @@ const updateAgent = async (searchParameter, updateData) => {
 const addAgentResourceFile = async ({ agent_id, tool_resource, file_id }) => {
   const searchParameter = { id: agent_id };
 
-  // build the update to push or create the file ids set
   const fileIdsPath = `tool_resources.${tool_resource}.file_ids`;
+
+  await Agent.updateOne(
+    {
+      id: agent_id,
+      [`${fileIdsPath}`]: { $exists: false },
+    },
+    {
+      $set: {
+        [`${fileIdsPath}`]: [],
+      },
+    },
+  );
+
   const updateData = { $addToSet: { [fileIdsPath]: file_id } };
 
-  // return the updated agent or throw if no agent matches
   const updatedAgent = await updateAgent(searchParameter, updateData);
   if (updatedAgent) {
     return updatedAgent;
@@ -290,6 +301,7 @@ const updateAgentProjects = async ({ user, agentId, projectIds, removeProjectIds
 };
 
 module.exports = {
+  Agent,
   getAgent,
   loadAgent,
   createAgent,

api/models/Agent.spec.js

@@ -0,0 +1,160 @@
+const mongoose = require('mongoose');
+const { v4: uuidv4 } = require('uuid');
+const { MongoMemoryServer } = require('mongodb-memory-server');
+const { Agent, addAgentResourceFile, removeAgentResourceFiles } = require('./Agent');
+
+describe('Agent Resource File Operations', () => {
+  let mongoServer;
+
+  beforeAll(async () => {
+    mongoServer = await MongoMemoryServer.create();
+    const mongoUri = mongoServer.getUri();
+    await mongoose.connect(mongoUri);
+  });
+
+  afterAll(async () => {
+    await mongoose.disconnect();
+    await mongoServer.stop();
+  });
+
+  beforeEach(async () => {
+    await Agent.deleteMany({});
+  });
+
+  const createBasicAgent = async () => {
+    const agentId = `agent_${uuidv4()}`;
+    const agent = await Agent.create({
+      id: agentId,
+      name: 'Test Agent',
+      provider: 'test',
+      model: 'test-model',
+      author: new mongoose.Types.ObjectId(),
+    });
+    return agent;
+  };
+
+  test('should handle concurrent file additions', async () => {
+    const agent = await createBasicAgent();
+    const fileIds = Array.from({ length: 10 }, () => uuidv4());
+
+    // Concurrent additions
+    const additionPromises = fileIds.map((fileId) =>
+      addAgentResourceFile({
+        agent_id: agent.id,
+        tool_resource: 'test_tool',
+        file_id: fileId,
+      }),
+    );
+
+    await Promise.all(additionPromises);
+
+    const updatedAgent = await Agent.findOne({ id: agent.id });
+    expect(updatedAgent.tool_resources.test_tool.file_ids).toBeDefined();
+    expect(updatedAgent.tool_resources.test_tool.file_ids).toHaveLength(10);
+    expect(new Set(updatedAgent.tool_resources.test_tool.file_ids).size).toBe(10);
+  });
+
+  test('should handle concurrent additions and removals', async () => {
+    const agent = await createBasicAgent();
+    const initialFileIds = Array.from({ length: 5 }, () => uuidv4());
+
+    await Promise.all(
+      initialFileIds.map((fileId) =>
+        addAgentResourceFile({
+          agent_id: agent.id,
+          tool_resource: 'test_tool',
+          file_id: fileId,
+        }),
+      ),
+    );
+
+    const newFileIds = Array.from({ length: 5 }, () => uuidv4());
+    const operations = [
+      ...newFileIds.map((fileId) =>
+        addAgentResourceFile({
+          agent_id: agent.id,
+          tool_resource: 'test_tool',
+          file_id: fileId,
+        }),
+      ),
+      ...initialFileIds.map((fileId) =>
+        removeAgentResourceFiles({
+          agent_id: agent.id,
+          files: [{ tool_resource: 'test_tool', file_id: fileId }],
+        }),
+      ),
+    ];
+
+    await Promise.all(operations);
+
+    const updatedAgent = await Agent.findOne({ id: agent.id });
+    expect(updatedAgent.tool_resources.test_tool.file_ids).toBeDefined();
+    expect(updatedAgent.tool_resources.test_tool.file_ids).toHaveLength(5);
+  });
+
+  test('should initialize array when adding to non-existent tool resource', async () => {
+    const agent = await createBasicAgent();
+    const fileId = uuidv4();
+
+    const updatedAgent = await addAgentResourceFile({
+      agent_id: agent.id,
+      tool_resource: 'new_tool',
+      file_id: fileId,
+    });
+
+    expect(updatedAgent.tool_resources.new_tool.file_ids).toBeDefined();
+    expect(updatedAgent.tool_resources.new_tool.file_ids).toHaveLength(1);
+    expect(updatedAgent.tool_resources.new_tool.file_ids[0]).toBe(fileId);
+  });
+
+  test('should handle rapid sequential modifications to same tool resource', async () => {
+    const agent = await createBasicAgent();
+    const fileId = uuidv4();
+
+    for (let i = 0; i < 10; i++) {
+      await addAgentResourceFile({
+        agent_id: agent.id,
+        tool_resource: 'test_tool',
+        file_id: `${fileId}_${i}`,
+      });
+
+      if (i % 2 === 0) {
+        await removeAgentResourceFiles({
+          agent_id: agent.id,
+          files: [{ tool_resource: 'test_tool', file_id: `${fileId}_${i}` }],
+        });
+      }
+    }
+
+    const updatedAgent = await Agent.findOne({ id: agent.id });
+    expect(updatedAgent.tool_resources.test_tool.file_ids).toBeDefined();
+    expect(Array.isArray(updatedAgent.tool_resources.test_tool.file_ids)).toBe(true);
+  });
+
+  test('should handle multiple tool resources concurrently', async () => {
+    const agent = await createBasicAgent();
+    const toolResources = ['tool1', 'tool2', 'tool3'];
+    const operations = [];
+
+    toolResources.forEach((tool) => {
+      const fileIds = Array.from({ length: 5 }, () => uuidv4());
+      fileIds.forEach((fileId) => {
+        operations.push(
+          addAgentResourceFile({
+            agent_id: agent.id,
+            tool_resource: tool,
+            file_id: fileId,
+          }),
+        );
+      });
+    });
+
+    await Promise.all(operations);
+
+    const updatedAgent = await Agent.findOne({ id: agent.id });
+    toolResources.forEach((tool) => {
+      expect(updatedAgent.tool_resources[tool].file_ids).toBeDefined();
+      expect(updatedAgent.tool_resources[tool].file_ids).toHaveLength(5);
+    });
+  });
+});

api/models/Categories.js

@@ -1,40 +1,41 @@
 const { logger } = require('~/config');
 // const { Categories } = require('./schema/categories');
+
 const options = [
   {
-    label: 'idea',
+    label: 'com_ui_idea',
     value: 'idea',
   },
   {
-    label: 'travel',
+    label: 'com_ui_travel',
     value: 'travel',
   },
   {
-    label: 'teach_or_explain',
+    label: 'com_ui_teach_or_explain',
     value: 'teach_or_explain',
   },
   {
-    label: 'write',
+    label: 'com_ui_write',
     value: 'write',
   },
   {
-    label: 'shop',
+    label: 'com_ui_shop',
     value: 'shop',
   },
   {
-    label: 'code',
+    label: 'com_ui_code',
     value: 'code',
   },
   {
-    label: 'misc',
+    label: 'com_ui_misc',
     value: 'misc',
   },
   {
-    label: 'roleplay',
+    label: 'com_ui_roleplay',
     value: 'roleplay',
   },
   {
-    label: 'finance',
+    label: 'com_ui_finance',
     value: 'finance',
   },
 ];

api/models/Conversation.js

@@ -104,10 +104,16 @@ module.exports = {
         update.expiredAt = null;
       }
 
+      /** @type {{ $set: Partial<TConversation>; $unset?: Record<keyof TConversation, number> }} */
+      const updateOperation = { $set: update };
+      if (metadata && metadata.unsetFields && Object.keys(metadata.unsetFields).length > 0) {
+        updateOperation.$unset = metadata.unsetFields;
+      }
+
       /** Note: the resulting Model object is necessary for Meilisearch operations */
       const conversation = await Conversation.findOneAndUpdate(
         { conversationId, user: req.user.id },
-        update,
+        updateOperation,
         {
           new: true,
           upsert: true,

api/models/Role.js

@@ -6,8 +6,10 @@ const {
   removeNullishValues,
   agentPermissionsSchema,
   promptPermissionsSchema,
+  runCodePermissionsSchema,
   bookmarkPermissionsSchema,
   multiConvoPermissionsSchema,
+  temporaryChatPermissionsSchema,
 } = require('librechat-data-provider');
 const getLogStores = require('~/cache/getLogStores');
 const Role = require('~/models/schema/roleSchema');
@@ -77,6 +79,8 @@ const permissionSchemas = {
   [PermissionTypes.PROMPTS]: promptPermissionsSchema,
   [PermissionTypes.BOOKMARKS]: bookmarkPermissionsSchema,
   [PermissionTypes.MULTI_CONVO]: multiConvoPermissionsSchema,
+  [PermissionTypes.TEMPORARY_CHAT]: temporaryChatPermissionsSchema,
+  [PermissionTypes.RUN_CODE]: runCodePermissionsSchema,
 };
 
 /**

api/models/Token.js

@@ -13,6 +13,13 @@ const Token = mongoose.model('Token', tokenSchema);
  */
 async function fixIndexes() {
   try {
+    if (
+      process.env.NODE_ENV === 'CI' ||
+      process.env.NODE_ENV === 'development' ||
+      process.env.NODE_ENV === 'test'
+    ) {
+      return;
+    }
     const indexes = await Token.collection.indexes();
     logger.debug('Existing Token Indexes:', JSON.stringify(indexes, null, 2));
     const unwantedTTLIndexes = indexes.filter(

api/models/schema/agent.js

@@ -35,6 +35,9 @@ const agentSchema = mongoose.Schema(
     model_parameters: {
       type: Object,
     },
+    artifacts: {
+      type: String,
+    },
     access_level: {
       type: Number,
     },

api/models/schema/convoSchema.js

@@ -20,8 +20,6 @@ const convoSchema = mongoose.Schema(
       index: true,
     },
     messages: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Message' }],
-    // google only
-    examples: { type: [{ type: mongoose.Schema.Types.Mixed }], default: undefined },
     agentOptions: {
       type: mongoose.Schema.Types.Mixed,
     },
@@ -48,12 +46,12 @@ if (process.env.MEILI_HOST && process.env.MEILI_MASTER_KEY) {
   convoSchema.plugin(mongoMeili, {
     host: process.env.MEILI_HOST,
     apiKey: process.env.MEILI_MASTER_KEY,
-    indexName: 'convos', // Will get created automatically if it doesn't exist already
+    /** Note: Will get created automatically if it doesn't exist already */
+    indexName: 'convos',
     primaryKey: 'conversationId',
   });
 }
 
-// Create TTL index
 convoSchema.index({ expiredAt: 1 }, { expireAfterSeconds: 0 });
 convoSchema.index({ createdAt: 1, updatedAt: 1 });
 convoSchema.index({ conversationId: 1, user: 1 }, { unique: true });

api/models/schema/defaults.js

@@ -1,3 +1,5 @@
+const mongoose = require('mongoose');
+
 const conversationPreset = {
   // endpoint: [azureOpenAI, openAI, anthropic, chatGPTBrowser]
   endpoint: {
@@ -24,6 +26,7 @@ const conversationPreset = {
     required: false,
   },
   // for google only
+  examples: { type: [{ type: mongoose.Schema.Types.Mixed }], default: undefined },
   modelLabel: {
     type: String,
     required: false,
@@ -70,6 +73,12 @@ const conversationPreset = {
   promptCache: {
     type: Boolean,
   },
+  thinking: {
+    type: Boolean,
+  },
+  thinkingBudget: {
+    type: Number,
+  },
   system: {
     type: String,
   },
@@ -123,56 +132,6 @@ const conversationPreset = {
   },
 };
 
-const agentOptions = {
-  model: {
-    type: String,
-    required: false,
-  },
-  // for azureOpenAI, openAI only
-  chatGptLabel: {
-    type: String,
-    required: false,
-  },
-  modelLabel: {
-    type: String,
-    required: false,
-  },
-  promptPrefix: {
-    type: String,
-    required: false,
-  },
-  temperature: {
-    type: Number,
-    required: false,
-  },
-  top_p: {
-    type: Number,
-    required: false,
-  },
-  // for google only
-  topP: {
-    type: Number,
-    required: false,
-  },
-  topK: {
-    type: Number,
-    required: false,
-  },
-  maxOutputTokens: {
-    type: Number,
-    required: false,
-  },
-  presence_penalty: {
-    type: Number,
-    required: false,
-  },
-  frequency_penalty: {
-    type: Number,
-    required: false,
-  },
-};
-
 module.exports = {
   conversationPreset,
-  agentOptions,
 };

api/models/schema/presetSchema.js

@@ -23,8 +23,6 @@ const presetSchema = mongoose.Schema(
     order: {
       type: Number,
     },
-    // google only
-    examples: [{ type: mongoose.Schema.Types.Mixed }],
     ...conversationPreset,
     agentOptions: {
       type: mongoose.Schema.Types.Mixed,

api/models/schema/roleSchema.js

@@ -48,6 +48,18 @@ const roleSchema = new mongoose.Schema({
       default: true,
     },
   },
+  [PermissionTypes.TEMPORARY_CHAT]: {
+    [Permissions.USE]: {
+      type: Boolean,
+      default: true,
+    },
+  },
+  [PermissionTypes.RUN_CODE]: {
+    [Permissions.USE]: {
+      type: Boolean,
+      default: true,
+    },
+  },
 });
 
 const Role = mongoose.model('Role', roleSchema);

api/models/schema/userSchema.js

@@ -39,6 +39,12 @@ const Session = mongoose.Schema({
   },
 });
 
+const backupCodeSchema = mongoose.Schema({
+  codeHash: { type: String, required: true },
+  used: { type: Boolean, default: false },
+  usedAt: { type: Date, default: null },
+});
+
 /** @type {MongooseSchema<MongoUser>} */
 const userSchema = mongoose.Schema(
   {
@@ -119,7 +125,12 @@ const userSchema = mongoose.Schema(
     },
     plugins: {
       type: Array,
-      default: [],
+    },
+    totpSecret: {
+      type: String,
+    },
+    backupCodes: {
+      type: [backupCodeSchema],
     },
     refreshToken: {
       type: [Session],

api/models/tx.js

@@ -79,6 +79,7 @@ const tokenValues = Object.assign(
     'o1-mini': { prompt: 1.1, completion: 4.4 },
     'o1-preview': { prompt: 15, completion: 60 },
     o1: { prompt: 15, completion: 60 },
+    'gpt-4.5': { prompt: 75, completion: 150 },
     'gpt-4o-mini': { prompt: 0.15, completion: 0.6 },
     'gpt-4o': { prompt: 2.5, completion: 10 },
     'gpt-4o-2024-05-13': { prompt: 5, completion: 15 },
@@ -88,6 +89,8 @@ const tokenValues = Object.assign(
     'claude-3-sonnet': { prompt: 3, completion: 15 },
     'claude-3-5-sonnet': { prompt: 3, completion: 15 },
     'claude-3.5-sonnet': { prompt: 3, completion: 15 },
+    'claude-3-7-sonnet': { prompt: 3, completion: 15 },
+    'claude-3.7-sonnet': { prompt: 3, completion: 15 },
     'claude-3-5-haiku': { prompt: 0.8, completion: 4 },
     'claude-3.5-haiku': { prompt: 0.8, completion: 4 },
     'claude-3-haiku': { prompt: 0.25, completion: 1.25 },
@@ -110,6 +113,14 @@ const tokenValues = Object.assign(
     'gemini-1.5': { prompt: 2.5, completion: 10 },
     'gemini-pro-vision': { prompt: 0.5, completion: 1.5 },
     gemini: { prompt: 0.5, completion: 1.5 },
+    'grok-2-vision-1212': { prompt: 2.0, completion: 10.0 },
+    'grok-2-vision-latest': { prompt: 2.0, completion: 10.0 },
+    'grok-2-vision': { prompt: 2.0, completion: 10.0 },
+    'grok-vision-beta': { prompt: 5.0, completion: 15.0 },
+    'grok-2-1212': { prompt: 2.0, completion: 10.0 },
+    'grok-2-latest': { prompt: 2.0, completion: 10.0 },
+    'grok-2': { prompt: 2.0, completion: 10.0 },
+    'grok-beta': { prompt: 5.0, completion: 15.0 },
   },
   bedrockValues,
 );
@@ -121,6 +132,8 @@ const tokenValues = Object.assign(
  * @type {Object.<string, {write: number, read: number }>}
  */
 const cacheTokenValues = {
+  'claude-3.7-sonnet': { write: 3.75, read: 0.3 },
+  'claude-3-7-sonnet': { write: 3.75, read: 0.3 },
   'claude-3.5-sonnet': { write: 3.75, read: 0.3 },
   'claude-3-5-sonnet': { write: 3.75, read: 0.3 },
   'claude-3.5-haiku': { write: 1, read: 0.08 },
@@ -155,6 +168,8 @@ const getValueKey = (model, endpoint) => {
     return 'o1-mini';
   } else if (modelName.includes('o1')) {
     return 'o1';
+  } else if (modelName.includes('gpt-4.5')) {
+    return 'gpt-4.5';
   } else if (modelName.includes('gpt-4o-2024-05-13')) {
     return 'gpt-4o-2024-05-13';
   } else if (modelName.includes('gpt-4o-mini')) {

api/models/tx.spec.js

@@ -50,6 +50,16 @@ describe('getValueKey', () => {
     expect(getValueKey('gpt-4-0125')).toBe('gpt-4-1106');
   });
 
+  it('should return "gpt-4.5" for model type of "gpt-4.5"', () => {
+    expect(getValueKey('gpt-4.5-preview')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-2024-08-06')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-2024-08-06-0718')).toBe('gpt-4.5');
+    expect(getValueKey('openai/gpt-4.5')).toBe('gpt-4.5');
+    expect(getValueKey('openai/gpt-4.5-2024-08-06')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-turbo')).toBe('gpt-4.5');
+    expect(getValueKey('gpt-4.5-0125')).toBe('gpt-4.5');
+  });
+
   it('should return "gpt-4o" for model type of "gpt-4o"', () => {
     expect(getValueKey('gpt-4o-2024-08-06')).toBe('gpt-4o');
     expect(getValueKey('gpt-4o-2024-08-06-0718')).toBe('gpt-4o');
@@ -80,6 +90,20 @@ describe('getValueKey', () => {
     expect(getValueKey('chatgpt-4o-latest-0718')).toBe('gpt-4o');
   });
 
+  it('should return "claude-3-7-sonnet" for model type of "claude-3-7-sonnet-"', () => {
+    expect(getValueKey('claude-3-7-sonnet-20240620')).toBe('claude-3-7-sonnet');
+    expect(getValueKey('anthropic/claude-3-7-sonnet')).toBe('claude-3-7-sonnet');
+    expect(getValueKey('claude-3-7-sonnet-turbo')).toBe('claude-3-7-sonnet');
+    expect(getValueKey('claude-3-7-sonnet-0125')).toBe('claude-3-7-sonnet');
+  });
+
+  it('should return "claude-3.7-sonnet" for model type of "claude-3.7-sonnet-"', () => {
+    expect(getValueKey('claude-3.7-sonnet-20240620')).toBe('claude-3.7-sonnet');
+    expect(getValueKey('anthropic/claude-3.7-sonnet')).toBe('claude-3.7-sonnet');
+    expect(getValueKey('claude-3.7-sonnet-turbo')).toBe('claude-3.7-sonnet');
+    expect(getValueKey('claude-3.7-sonnet-0125')).toBe('claude-3.7-sonnet');
+  });
+
   it('should return "claude-3-5-sonnet" for model type of "claude-3-5-sonnet-"', () => {
     expect(getValueKey('claude-3-5-sonnet-20240620')).toBe('claude-3-5-sonnet');
     expect(getValueKey('anthropic/claude-3-5-sonnet')).toBe('claude-3-5-sonnet');
@@ -458,3 +482,30 @@ describe('Google Model Tests', () => {
     });
   });
 });
+
+describe('Grok Model Tests - Pricing', () => {
+  describe('getMultiplier', () => {
+    test('should return correct prompt and completion rates for Grok vision models', () => {
+      const models = ['grok-2-vision-1212', 'grok-2-vision', 'grok-2-vision-latest'];
+      models.forEach((model) => {
+        expect(getMultiplier({ model, tokenType: 'prompt' })).toBe(2.0);
+        expect(getMultiplier({ model, tokenType: 'completion' })).toBe(10.0);
+      });
+    });
+
+    test('should return correct prompt and completion rates for Grok text models', () => {
+      const models = ['grok-2-1212', 'grok-2', 'grok-2-latest'];
+      models.forEach((model) => {
+        expect(getMultiplier({ model, tokenType: 'prompt' })).toBe(2.0);
+        expect(getMultiplier({ model, tokenType: 'completion' })).toBe(10.0);
+      });
+    });
+
+    test('should return correct prompt and completion rates for Grok beta models', () => {
+      expect(getMultiplier({ model: 'grok-vision-beta', tokenType: 'prompt' })).toBe(5.0);
+      expect(getMultiplier({ model: 'grok-vision-beta', tokenType: 'completion' })).toBe(15.0);
+      expect(getMultiplier({ model: 'grok-beta', tokenType: 'prompt' })).toBe(5.0);
+      expect(getMultiplier({ model: 'grok-beta', tokenType: 'completion' })).toBe(15.0);
+    });
+  });
+});

api/package.json

@@ -34,18 +34,18 @@
   },
   "homepage": "https://librechat.ai",
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.32.1",
+    "@anthropic-ai/sdk": "^0.37.0",
     "@azure/search-documents": "^12.0.0",
     "@google/generative-ai": "^0.21.0",
     "@googleapis/youtube": "^20.0.0",
     "@keyv/mongo": "^2.1.8",
     "@keyv/redis": "^2.8.1",
     "@langchain/community": "^0.3.14",
-    "@langchain/core": "^0.3.37",
-    "@langchain/google-genai": "^0.1.7",
-    "@langchain/google-vertexai": "^0.1.8",
+    "@langchain/core": "^0.3.40",
+    "@langchain/google-genai": "^0.1.9",
+    "@langchain/google-vertexai": "^0.2.0",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^2.0.4",
+    "@librechat/agents": "^2.1.7",
     "@waylaidwanderer/fetch-event-source": "^3.0.1",
     "axios": "1.7.8",
     "bcryptjs": "^2.4.3",
@@ -57,14 +57,17 @@
     "cors": "^2.8.5",
     "dedent": "^1.5.3",
     "dotenv": "^16.0.3",
+    "eventsource": "^3.0.2",
     "express": "^4.21.2",
     "express-mongo-sanitize": "^2.2.0",
     "express-rate-limit": "^7.4.1",
     "express-session": "^1.18.1",
+    "express-static-gzip": "^2.2.0",
     "file-type": "^18.7.0",
     "firebase": "^11.0.2",
     "googleapis": "^126.0.1",
     "handlebars": "^4.7.7",
+    "https-proxy-agent": "^7.0.6",
     "ioredis": "^5.3.2",
     "js-yaml": "^4.1.0",
     "jsonwebtoken": "^9.0.0",

api/server/controllers/AskController.js

@@ -150,11 +150,11 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
   } catch (error) {
     const partialText = getText && getText();
     handleAbortError(res, req, error, {
+      sender,
       partialText,
       conversationId,
-      sender,
       messageId: responseMessageId,
-      parentMessageId: userMessageId ?? parentMessageId,
+      parentMessageId: overrideParentMessageId ?? userMessageId ?? parentMessageId,
     }).catch((err) => {
       logger.error('[AskController] Error in `handleAbortError`', err);
     });

api/server/controllers/AuthController.js

@@ -61,7 +61,7 @@ const refreshController = async (req, res) => {
 
   try {
     const payload = jwt.verify(refreshToken, process.env.JWT_REFRESH_SECRET);
-    const user = await getUserById(payload.id, '-password -__v');
+    const user = await getUserById(payload.id, '-password -__v -totpSecret');
     if (!user) {
       return res.status(401).redirect('/login');
     }

api/server/controllers/EditController.js

@@ -135,11 +135,11 @@ const EditController = async (req, res, next, initializeClient) => {
   } catch (error) {
     const partialText = getText();
     handleAbortError(res, req, error, {
+      sender,
       partialText,
       conversationId,
-      sender,
       messageId: responseMessageId,
-      parentMessageId: userMessageId ?? parentMessageId,
+      parentMessageId: overrideParentMessageId ?? userMessageId ?? parentMessageId,
     }).catch((err) => {
       logger.error('[EditController] Error in `handleAbortError`', err);
     });

api/server/controllers/TwoFactorController.js

@@ -0,0 +1,119 @@
+const {
+  verifyTOTP,
+  verifyBackupCode,
+  generateTOTPSecret,
+  generateBackupCodes,
+  getTOTPSecret,
+} = require('~/server/services/twoFactorService');
+const { updateUser, getUserById } = require('~/models');
+const { logger } = require('~/config');
+const { encryptV2 } = require('~/server/utils/crypto');
+
+const enable2FAController = async (req, res) => {
+  const safeAppTitle = (process.env.APP_TITLE || 'LibreChat').replace(/\s+/g, '');
+
+  try {
+    const userId = req.user.id;
+    const secret = generateTOTPSecret();
+    const { plainCodes, codeObjects } = await generateBackupCodes();
+
+    const encryptedSecret = await encryptV2(secret);
+    const user = await updateUser(userId, { totpSecret: encryptedSecret, backupCodes: codeObjects });
+
+    const otpauthUrl = `otpauth://totp/${safeAppTitle}:${user.email}?secret=${secret}&issuer=${safeAppTitle}`;
+
+    res.status(200).json({
+      otpauthUrl,
+      backupCodes: plainCodes,
+    });
+  } catch (err) {
+    logger.error('[enable2FAController]', err);
+    res.status(500).json({ message: err.message });
+  }
+};
+
+const verify2FAController = async (req, res) => {
+  try {
+    const userId = req.user.id;
+    const { token, backupCode } = req.body;
+    const user = await getUserById(userId);
+    if (!user || !user.totpSecret) {
+      return res.status(400).json({ message: '2FA not initiated' });
+    }
+
+    // Retrieve the plain TOTP secret using getTOTPSecret.
+    const secret = await getTOTPSecret(user.totpSecret);
+
+    if (token && (await verifyTOTP(secret, token))) {
+      return res.status(200).json();
+    } else if (backupCode) {
+      const verified = await verifyBackupCode({ user, backupCode });
+      if (verified) {
+        return res.status(200).json();
+      }
+    }
+
+    return res.status(400).json({ message: 'Invalid token.' });
+  } catch (err) {
+    logger.error('[verify2FAController]', err);
+    res.status(500).json({ message: err.message });
+  }
+};
+
+const confirm2FAController = async (req, res) => {
+  try {
+    const userId = req.user.id;
+    const { token } = req.body;
+    const user = await getUserById(userId);
+
+    if (!user || !user.totpSecret) {
+      return res.status(400).json({ message: '2FA not initiated' });
+    }
+
+    // Retrieve the plain TOTP secret using getTOTPSecret.
+    const secret = await getTOTPSecret(user.totpSecret);
+
+    if (await verifyTOTP(secret, token)) {
+      return res.status(200).json();
+    }
+
+    return res.status(400).json({ message: 'Invalid token.' });
+  } catch (err) {
+    logger.error('[confirm2FAController]', err);
+    res.status(500).json({ message: err.message });
+  }
+};
+
+const disable2FAController = async (req, res) => {
+  try {
+    const userId = req.user.id;
+    await updateUser(userId, { totpSecret: null, backupCodes: [] });
+    res.status(200).json();
+  } catch (err) {
+    logger.error('[disable2FAController]', err);
+    res.status(500).json({ message: err.message });
+  }
+};
+
+const regenerateBackupCodesController = async (req, res) => {
+  try {
+    const userId = req.user.id;
+    const { plainCodes, codeObjects } = await generateBackupCodes();
+    await updateUser(userId, { backupCodes: codeObjects });
+    res.status(200).json({
+      backupCodes: plainCodes,
+      backupCodesHash: codeObjects,
+    });
+  } catch (err) {
+    logger.error('[regenerateBackupCodesController]', err);
+    res.status(500).json({ message: err.message });
+  }
+};
+
+module.exports = {
+  enable2FAController,
+  verify2FAController,
+  confirm2FAController,
+  disable2FAController,
+  regenerateBackupCodesController,
+};

api/server/controllers/UserController.js

@@ -19,7 +19,9 @@ const { Transaction } = require('~/models/Transaction');
 const { logger } = require('~/config');
 
 const getUserController = async (req, res) => {
-  res.status(200).send(req.user);
+  const userData = req.user.toObject != null ? req.user.toObject() : { ...req.user };
+  delete userData.totpSecret;
+  res.status(200).send(userData);
 };
 
 const getTermsStatusController = async (req, res) => {

api/server/controllers/agents/callbacks.js

@@ -1,4 +1,5 @@
-const { Tools, StepTypes, imageGenTools, FileContext } = require('librechat-data-provider');
+const { nanoid } = require('nanoid');
+const { Tools, StepTypes, FileContext } = require('librechat-data-provider');
 const {
   EnvVar,
   Providers,
@@ -199,6 +200,22 @@ function getDefaultHandlers({ res, aggregateContent, toolEndCallback, collectedU
         aggregateContent({ event, data });
       },
     },
+    [GraphEvents.ON_REASONING_DELTA]: {
+      /**
+       * Handle ON_REASONING_DELTA event.
+       * @param {string} event - The event name.
+       * @param {StreamEventData} data - The event data.
+       * @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
+       */
+      handle: (event, data, metadata) => {
+        if (metadata?.last_agent_index === metadata?.agent_index) {
+          sendEvent(res, { event, data });
+        } else if (!metadata?.hide_sequential_outputs) {
+          sendEvent(res, { event, data });
+        }
+        aggregateContent({ event, data });
+      },
+    },
   };
 
   return handlers;
@@ -226,32 +243,6 @@ function createToolEndCallback({ req, res, artifactPromises }) {
       return;
     }
 
-    if (imageGenTools.has(output.name)) {
-      artifactPromises.push(
-        (async () => {
-          const fileMetadata = Object.assign(output.artifact, {
-            messageId: metadata.run_id,
-            toolCallId: output.tool_call_id,
-            conversationId: metadata.thread_id,
-          });
-          if (!res.headersSent) {
-            return fileMetadata;
-          }
-
-          if (!fileMetadata) {
-            return null;
-          }
-
-          res.write(`event: attachment\ndata: ${JSON.stringify(fileMetadata)}\n\n`);
-          return fileMetadata;
-        })().catch((error) => {
-          logger.error('Error processing code output:', error);
-          return null;
-        }),
-      );
-      return;
-    }
-
     if (output.artifact.content) {
       /** @type {FormattedContent[]} */
       const content = output.artifact.content;
@@ -262,7 +253,7 @@ function createToolEndCallback({ req, res, artifactPromises }) {
         const { url } = part.image_url;
         artifactPromises.push(
           (async () => {
-            const filename = `${output.tool_call_id}-image-${new Date().getTime()}`;
+            const filename = `${output.name}_${output.tool_call_id}_img_${nanoid()}`;
             const file = await saveBase64Image(url, {
               req,
               filename,

api/server/controllers/agents/client.js

@@ -20,21 +20,17 @@ const {
   bedrockOutputParser,
   removeNullishValues,
 } = require('librechat-data-provider');
-const {
-  extractBaseURL,
-  // constructAzureURL,
-  // genAzureChatCompletion,
-} = require('~/utils');
 const {
   formatMessage,
+  addCacheControl,
   formatAgentMessages,
   formatContentStrings,
   createContextHandlers,
 } = require('~/app/clients/prompts');
-const { encodeAndFormat } = require('~/server/services/Files/images/encode');
+const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
 const { getBufferString, HumanMessage } = require('@langchain/core/messages');
+const { encodeAndFormat } = require('~/server/services/Files/images/encode');
 const Tokenizer = require('~/server/services/Tokenizer');
-const { spendTokens } = require('~/models/spendTokens');
 const BaseClient = require('~/app/clients/BaseClient');
 const { createRun } = require('./run');
 const { logger } = require('~/config');
@@ -384,15 +380,34 @@ class AgentClient extends BaseClient {
     if (!collectedUsage || !collectedUsage.length) {
       return;
     }
-    const input_tokens = collectedUsage[0]?.input_tokens || 0;
+    const input_tokens =
+      (collectedUsage[0]?.input_tokens || 0) +
+      (Number(collectedUsage[0]?.input_token_details?.cache_creation) || 0) +
+      (Number(collectedUsage[0]?.input_token_details?.cache_read) || 0);
 
     let output_tokens = 0;
     let previousTokens = input_tokens; // Start with original input
     for (let i = 0; i < collectedUsage.length; i++) {
       const usage = collectedUsage[i];
+      if (!usage) {
+        continue;
+      }
+
+      const cache_creation = Number(usage.input_token_details?.cache_creation) || 0;
+      const cache_read = Number(usage.input_token_details?.cache_read) || 0;
+
+      const txMetadata = {
+        context,
+        conversationId: this.conversationId,
+        user: this.user ?? this.options.req.user?.id,
+        endpointTokenConfig: this.options.endpointTokenConfig,
+        model: usage.model ?? model ?? this.model ?? this.options.agent.model_parameters.model,
+      };
+
       if (i > 0) {
         // Count new tokens generated (input_tokens minus previous accumulated tokens)
-        output_tokens += (Number(usage.input_tokens) || 0) - previousTokens;
+        output_tokens +=
+          (Number(usage.input_tokens) || 0) + cache_creation + cache_read - previousTokens;
       }
 
       // Add this message's output tokens
@@ -400,16 +415,26 @@ class AgentClient extends BaseClient {
 
       // Update previousTokens to include this message's output
       previousTokens += Number(usage.output_tokens) || 0;
-      spendTokens(
-        {
-          context,
-          conversationId: this.conversationId,
-          user: this.user ?? this.options.req.user?.id,
-          endpointTokenConfig: this.options.endpointTokenConfig,
-          model: usage.model ?? model ?? this.model ?? this.options.agent.model_parameters.model,
-        },
-        { promptTokens: usage.input_tokens, completionTokens: usage.output_tokens },
-      ).catch((err) => {
+
+      if (cache_creation > 0 || cache_read > 0) {
+        spendStructuredTokens(txMetadata, {
+          promptTokens: {
+            input: usage.input_tokens,
+            write: cache_creation,
+            read: cache_read,
+          },
+          completionTokens: usage.output_tokens,
+        }).catch((err) => {
+          logger.error(
+            '[api/server/controllers/agents/client.js #recordCollectedUsage] Error spending structured tokens',
+            err,
+          );
+        });
+      }
+      spendTokens(txMetadata, {
+        promptTokens: usage.input_tokens,
+        completionTokens: usage.output_tokens,
+      }).catch((err) => {
         logger.error(
           '[api/server/controllers/agents/client.js #recordCollectedUsage] Error spending tokens',
           err,
@@ -477,19 +502,6 @@ class AgentClient extends BaseClient {
         abortController = new AbortController();
       }
 
-      const baseURL = extractBaseURL(this.completionsUrl);
-      logger.debug('[api/server/controllers/agents/client.js] chatCompletion', {
-        baseURL,
-        payload,
-      });
-
-      // if (this.useOpenRouter) {
-      //   opts.defaultHeaders = {
-      //     'HTTP-Referer': 'https://librechat.ai',
-      //     'X-Title': 'LibreChat',
-      //   };
-      // }
-
       // if (this.options.headers) {
       //   opts.defaultHeaders = { ...opts.defaultHeaders, ...this.options.headers };
       // }
@@ -607,7 +619,7 @@ class AgentClient extends BaseClient {
        * @param {number} [i]
        * @param {TMessageContentParts[]} [contentData]
        */
-      const runAgent = async (agent, messages, i = 0, contentData = []) => {
+      const runAgent = async (agent, _messages, i = 0, contentData = []) => {
         config.configurable.model = agent.model_parameters.model;
         if (i > 0) {
           this.model = agent.model_parameters.model;
@@ -626,7 +638,7 @@ class AgentClient extends BaseClient {
         let systemContent = [
           systemMessage,
           agent.instructions ?? '',
-          i !== 0 ? agent.additional_instructions ?? '' : '',
+          i !== 0 ? (agent.additional_instructions ?? '') : '',
         ]
           .join('\n')
           .trim();
@@ -640,12 +652,21 @@ class AgentClient extends BaseClient {
         }
 
         if (noSystemMessages === true && systemContent?.length) {
-          let latestMessage = messages.pop().content;
+          let latestMessage = _messages.pop().content;
           if (typeof latestMessage !== 'string') {
             latestMessage = latestMessage[0].text;
           }
           latestMessage = [systemContent, latestMessage].join('\n');
-          messages.push(new HumanMessage(latestMessage));
+          _messages.push(new HumanMessage(latestMessage));
+        }
+
+        let messages = _messages;
+        if (
+          agent.model_parameters?.clientOptions?.defaultHeaders?.['anthropic-beta']?.includes(
+            'prompt-caching',
+          )
+        ) {
+          messages = addCacheControl(messages);
         }
 
         run = await createRun({
@@ -774,6 +795,10 @@ class AgentClient extends BaseClient {
         );
       }
     } catch (err) {
+      logger.error(
+        '[api/server/controllers/agents/client.js #sendCompletion] Operation aborted',
+        err,
+      );
       if (!abortController.signal.aborted) {
         logger.error(
           '[api/server/controllers/agents/client.js #sendCompletion] Unhandled error type',
@@ -781,11 +806,6 @@ class AgentClient extends BaseClient {
         );
         throw err;
       }
-
-      logger.warn(
-        '[api/server/controllers/agents/client.js #sendCompletion] Operation aborted',
-        err,
-      );
     }
   }
 
@@ -800,7 +820,10 @@ class AgentClient extends BaseClient {
       throw new Error('Run not initialized');
     }
     const { handleLLMEnd, collected: collectedMetadata } = createMetadataAggregator();
-    const clientOptions = {};
+    /** @type {import('@librechat/agents').ClientOptions} */
+    const clientOptions = {
+      maxTokens: 75,
+    };
     const providerConfig = this.options.req.app.locals[this.options.agent.provider];
     if (
       providerConfig &&

api/server/controllers/agents/request.js

@@ -142,7 +142,7 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
       conversationId,
       sender,
       messageId: responseMessageId,
-      parentMessageId: userMessageId ?? parentMessageId,
+      parentMessageId: overrideParentMessageId ?? userMessageId ?? parentMessageId,
     }).catch((err) => {
       logger.error('[api/server/controllers/agents/request] Error in `handleAbortError`', err);
     });

api/server/controllers/agents/run.js

@@ -1,5 +1,5 @@
 const { Run, Providers } = require('@librechat/agents');
-const { providerEndpointMap } = require('librechat-data-provider');
+const { providerEndpointMap, KnownEndpoints } = require('librechat-data-provider');
 
 /**
  * @typedef {import('@librechat/agents').t} t
@@ -7,6 +7,7 @@ const { providerEndpointMap } = require('librechat-data-provider');
  * @typedef {import('@librechat/agents').StreamEventData} StreamEventData
  * @typedef {import('@librechat/agents').EventHandler} EventHandler
  * @typedef {import('@librechat/agents').GraphEvents} GraphEvents
+ * @typedef {import('@librechat/agents').LLMConfig} LLMConfig
  * @typedef {import('@librechat/agents').IState} IState
  */
 
@@ -32,6 +33,7 @@ async function createRun({
   streamUsage = true,
 }) {
   const provider = providerEndpointMap[agent.provider] ?? agent.provider;
+  /** @type {LLMConfig} */
   const llmConfig = Object.assign(
     {
       provider,
@@ -41,6 +43,11 @@ async function createRun({
     agent.model_parameters,
   );
 
+  /** @type {'reasoning_content' | 'reasoning'} */
+  let reasoningKey;
+  if (llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter)) {
+    reasoningKey = 'reasoning';
+  }
   if (/o1(?!-(?:mini|preview)).*$/.test(llmConfig.model)) {
     llmConfig.streaming = false;
     llmConfig.disableStreaming = true;
@@ -50,6 +57,7 @@ async function createRun({
   const graphConfig = {
     signal,
     llmConfig,
+    reasoningKey,
     tools: agent.tools,
     instructions: agent.instructions,
     additional_instructions: agent.additional_instructions,

api/server/controllers/auth/LoginController.js

@@ -1,3 +1,4 @@
+const { generate2FATempToken } = require('~/server/services/twoFactorService');
 const { setAuthTokens } = require('~/server/services/AuthService');
 const { logger } = require('~/config');
 
@@ -7,7 +8,12 @@ const loginController = async (req, res) => {
       return res.status(400).json({ message: 'Invalid credentials' });
     }
 
-    const { password: _, __v, ...user } = req.user;
+    if (req.user.backupCodes != null && req.user.backupCodes.length > 0) {
+      const tempToken = generate2FATempToken(req.user._id);
+      return res.status(200).json({ twoFAPending: true, tempToken });
+    }
+
+    const { password: _p, totpSecret: _t, __v, ...user } = req.user;
     user.id = user._id.toString();
 
     const token = await setAuthTokens(req.user._id, res);

api/server/controllers/auth/TwoFactorAuthController.js

@@ -0,0 +1,58 @@
+const jwt = require('jsonwebtoken');
+const { verifyTOTP, verifyBackupCode, getTOTPSecret } = require('~/server/services/twoFactorService');
+const { setAuthTokens } = require('~/server/services/AuthService');
+const { getUserById } = require('~/models/userMethods');
+const { logger } = require('~/config');
+
+const verify2FA = async (req, res) => {
+  try {
+    const { tempToken, token, backupCode } = req.body;
+    if (!tempToken) {
+      return res.status(400).json({ message: 'Missing temporary token' });
+    }
+
+    let payload;
+    try {
+      payload = jwt.verify(tempToken, process.env.JWT_SECRET);
+    } catch (err) {
+      return res.status(401).json({ message: 'Invalid or expired temporary token' });
+    }
+
+    const user = await getUserById(payload.userId);
+    // Ensure that the user exists and has backup codes (i.e. 2FA enabled)
+    if (!user || !(user.backupCodes && user.backupCodes.length > 0)) {
+      return res.status(400).json({ message: '2FA is not enabled for this user' });
+    }
+
+    // Use the new getTOTPSecret function to retrieve (and decrypt if necessary) the TOTP secret.
+    const secret = await getTOTPSecret(user.totpSecret);
+
+    let verified = false;
+    if (token && (await verifyTOTP(secret, token))) {
+      verified = true;
+    } else if (backupCode) {
+      verified = await verifyBackupCode({ user, backupCode });
+    }
+
+    if (!verified) {
+      return res.status(401).json({ message: 'Invalid 2FA code or backup code' });
+    }
+
+    // Prepare user data for response.
+    // If the user is a plain object (from lean queries), we create a shallow copy.
+    const userData = user.toObject ? user.toObject() : { ...user };
+    // Remove sensitive fields.
+    delete userData.password;
+    delete userData.__v;
+    delete userData.totpSecret;
+    userData.id = user._id.toString();
+
+    const authToken = await setAuthTokens(user._id, res);
+    return res.status(200).json({ token: authToken, user: userData });
+  } catch (err) {
+    logger.error('[verify2FA]', err);
+    return res.status(500).json({ message: 'Something went wrong' });
+  }
+};
+
+module.exports = { verify2FA };

api/server/controllers/tools.js

@@ -1,10 +1,17 @@
 const { nanoid } = require('nanoid');
 const { EnvVar } = require('@librechat/agents');
-const { Tools, AuthType, ToolCallTypes } = require('librechat-data-provider');
+const {
+  Tools,
+  AuthType,
+  Permissions,
+  ToolCallTypes,
+  PermissionTypes,
+} = require('librechat-data-provider');
 const { processFileURL, uploadImageBuffer } = require('~/server/services/Files/process');
 const { processCodeOutput } = require('~/server/services/Files/Code/process');
-const { loadAuthValues, loadTools } = require('~/app/clients/tools/util');
 const { createToolCall, getToolCallsByConvo } = require('~/models/ToolCall');
+const { loadAuthValues, loadTools } = require('~/app/clients/tools/util');
+const { checkAccess } = require('~/server/middleware');
 const { getMessage } = require('~/models/Message');
 const { logger } = require('~/config');
 
@@ -12,6 +19,10 @@ const fieldsMap = {
   [Tools.execute_code]: [EnvVar.CODE_API_KEY],
 };
 
+const toolAccessPermType = {
+  [Tools.execute_code]: PermissionTypes.RUN_CODE,
+};
+
 /**
  * @param {ServerRequest} req - The request object, containing information about the HTTP request.
  * @param {ServerResponse} res - The response object, used to send back the desired HTTP response.
@@ -58,6 +69,7 @@ const verifyToolAuth = async (req, res) => {
 /**
  * @param {ServerRequest} req - The request object, containing information about the HTTP request.
  * @param {ServerResponse} res - The response object, used to send back the desired HTTP response.
+ * @param {NextFunction} next - The next middleware function to call.
  * @returns {Promise<void>} A promise that resolves when the function has completed.
  */
 const callTool = async (req, res) => {
@@ -83,6 +95,16 @@ const callTool = async (req, res) => {
       return;
     }
     logger.debug(`[${toolId}/call] User: ${req.user.id}`);
+    let hasAccess = true;
+    if (toolAccessPermType[toolId]) {
+      hasAccess = await checkAccess(req.user, toolAccessPermType[toolId], [Permissions.USE]);
+    }
+    if (!hasAccess) {
+      logger.warn(
+        `[${toolAccessPermType[toolId]}] Forbidden: Insufficient permissions for User ${req.user.id}: ${Permissions.USE}`,
+      );
+      return res.status(403).json({ message: 'Forbidden: Insufficient permissions' });
+    }
     const { loadedTools } = await loadTools({
       user: req.user.id,
       tools: [toolId],

api/server/index.js

@@ -22,10 +22,11 @@ const staticCache = require('./utils/staticCache');
 const noIndex = require('./middleware/noIndex');
 const routes = require('./routes');
 
-const { PORT, HOST, ALLOW_SOCIAL_LOGIN, DISABLE_COMPRESSION } = process.env ?? {};
+const { PORT, HOST, ALLOW_SOCIAL_LOGIN, DISABLE_COMPRESSION, TRUST_PROXY } = process.env ?? {};
 
 const port = Number(PORT) || 3080;
 const host = HOST || 'localhost';
+const trusted_proxy = Number(TRUST_PROXY) || 1; /* trust first proxy by default */
 
 const startServer = async () => {
   if (typeof Bun !== 'undefined') {
@@ -53,7 +54,7 @@ const startServer = async () => {
   app.use(staticCache(app.locals.paths.dist));
   app.use(staticCache(app.locals.paths.fonts));
   app.use(staticCache(app.locals.paths.assets));
-  app.set('trust proxy', 1); /* trust first proxy */
+  app.set('trust proxy', trusted_proxy);
   app.use(cors());
   app.use(cookieParser());
 
@@ -145,6 +146,18 @@ process.on('uncaughtException', (err) => {
     logger.error('There was an uncaught error:', err);
   }
 
+  if (err.message.includes('abort')) {
+    logger.warn('There was an uncatchable AbortController error.');
+    return;
+  }
+
+  if (err.message.includes('GoogleGenerativeAI')) {
+    logger.warn(
+      '\n\n`GoogleGenerativeAI` errors cannot be caught due to an upstream issue, see: https://github.com/google-gemini/generative-ai-js/issues/303',
+    );
+    return;
+  }
+
   if (err.message.includes('fetch failed')) {
     if (messageCount === 0) {
       logger.warn('Meilisearch error, search will be disabled');

api/server/middleware/roles/generateCheckAccess.js

@@ -1,4 +1,42 @@
 const { getRoleByName } = require('~/models/Role');
+const { logger } = require('~/config');
+
+/**
+ * Core function to check if a user has one or more required permissions
+ *
+ * @param {object} user - The user object
+ * @param {PermissionTypes} permissionType - The type of permission to check
+ * @param {Permissions[]} permissions - The list of specific permissions to check
+ * @param {Record<Permissions, string[]>} [bodyProps] - An optional object where keys are permissions and values are arrays of properties to check
+ * @param {object} [checkObject] - The object to check properties against
+ * @returns {Promise<boolean>} Whether the user has the required permissions
+ */
+const checkAccess = async (user, permissionType, permissions, bodyProps = {}, checkObject = {}) => {
+  if (!user) {
+    return false;
+  }
+
+  const role = await getRoleByName(user.role);
+  if (role && role[permissionType]) {
+    const hasAnyPermission = permissions.some((permission) => {
+      if (role[permissionType][permission]) {
+        return true;
+      }
+
+      if (bodyProps[permission] && checkObject) {
+        return bodyProps[permission].some((prop) =>
+          Object.prototype.hasOwnProperty.call(checkObject, prop),
+        );
+      }
+
+      return false;
+    });
+
+    return hasAnyPermission;
+  }
+
+  return false;
+};
 
 /**
  * Middleware to check if a user has one or more required permissions, optionally based on `req.body` properties.
@@ -6,42 +44,35 @@ const { getRoleByName } = require('~/models/Role');
  * @param {PermissionTypes} permissionType - The type of permission to check.
  * @param {Permissions[]} permissions - The list of specific permissions to check.
  * @param {Record<Permissions, string[]>} [bodyProps] - An optional object where keys are permissions and values are arrays of `req.body` properties to check.
- * @returns {Function} Express middleware function.
+ * @returns {(req: ServerRequest, res: ServerResponse, next: NextFunction) => Promise<void>} Express middleware function.
  */
 const generateCheckAccess = (permissionType, permissions, bodyProps = {}) => {
   return async (req, res, next) => {
     try {
-      const { user } = req;
-      if (!user) {
-        return res.status(401).json({ message: 'Authorization required' });
-      }
-
-      const role = await getRoleByName(user.role);
-      if (role && role[permissionType]) {
-        const hasAnyPermission = permissions.some((permission) => {
-          if (role[permissionType][permission]) {
-            return true;
-          }
-
-          if (bodyProps[permission] && req.body) {
-            return bodyProps[permission].some((prop) =>
-              Object.prototype.hasOwnProperty.call(req.body, prop),
-            );
-          }
-
-          return false;
-        });
-
-        if (hasAnyPermission) {
-          return next();
-        }
+      const hasAccess = await checkAccess(
+        req.user,
+        permissionType,
+        permissions,
+        bodyProps,
+        req.body,
+      );
+
+      if (hasAccess) {
+        return next();
       }
 
+      logger.warn(
+        `[${permissionType}] Forbidden: Insufficient permissions for User ${req.user.id}: ${permissions.join(', ')}`,
+      );
       return res.status(403).json({ message: 'Forbidden: Insufficient permissions' });
     } catch (error) {
+      logger.error(error);
       return res.status(500).json({ message: `Server error: ${error.message}` });
     }
   };
 };
 
-module.exports = generateCheckAccess;
+module.exports = {
+  checkAccess,
+  generateCheckAccess,
+};

api/server/middleware/roles/index.js

@@ -1,7 +1,8 @@
 const checkAdmin = require('./checkAdmin');
-const generateCheckAccess = require('./generateCheckAccess');
+const { checkAccess, generateCheckAccess } = require('./generateCheckAccess');
 
 module.exports = {
   checkAdmin,
+  checkAccess,
   generateCheckAccess,
 };

api/server/routes/auth.js

@@ -7,6 +7,13 @@ const {
 } = require('~/server/controllers/AuthController');
 const { loginController } = require('~/server/controllers/auth/LoginController');
 const { logoutController } = require('~/server/controllers/auth/LogoutController');
+const { verify2FA } = require('~/server/controllers/auth/TwoFactorAuthController');
+const {
+  enable2FAController,
+  verify2FAController,
+  disable2FAController,
+  regenerateBackupCodesController, confirm2FAController,
+} = require('~/server/controllers/TwoFactorController');
 const {
   checkBan,
   loginLimiter,
@@ -50,4 +57,11 @@ router.post(
 );
 router.post('/resetPassword', checkBan, validatePasswordReset, resetPasswordController);
 
+router.get('/2fa/enable', requireJwtAuth, enable2FAController);
+router.post('/2fa/verify', requireJwtAuth, verify2FAController);
+router.post('/2fa/verify-temp', checkBan, verify2FA);
+router.post('/2fa/confirm', requireJwtAuth, confirm2FAController);
+router.post('/2fa/disable', requireJwtAuth, disable2FAController);
+router.post('/2fa/backup/regenerate', requireJwtAuth, regenerateBackupCodesController);
+
 module.exports = router;

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

@@ -13,6 +13,7 @@ const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options')
 const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
 const initCustom = require('~/server/services/Endpoints/custom/initialize');
 const initGoogle = require('~/server/services/Endpoints/google/initialize');
+const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
 const { getCustomEndpointConfig } = require('~/server/services/Config');
 const { loadAgentTools } = require('~/server/services/ToolService');
 const AgentClient = require('~/server/controllers/agents/client');
@@ -21,12 +22,14 @@ const { getAgent } = require('~/models/Agent');
 const { logger } = require('~/config');
 
 const providerConfigMap = {
+  [Providers.OLLAMA]: initCustom,
+  [Providers.DEEPSEEK]: initCustom,
+  [Providers.OPENROUTER]: initCustom,
   [EModelEndpoint.openAI]: initOpenAI,
+  [EModelEndpoint.google]: initGoogle,
   [EModelEndpoint.azureOpenAI]: initOpenAI,
   [EModelEndpoint.anthropic]: initAnthropic,
   [EModelEndpoint.bedrock]: getBedrockOptions,
-  [EModelEndpoint.google]: initGoogle,
-  [Providers.OLLAMA]: initCustom,
 };
 
 /**
@@ -72,6 +75,16 @@ const primeResources = async (_attachments, _tool_resources) => {
   }
 };
 
+/**
+ * @param {object} params
+ * @param {ServerRequest} params.req
+ * @param {ServerResponse} params.res
+ * @param {Agent} params.agent
+ * @param {object} [params.endpointOption]
+ * @param {AgentToolResources} [params.tool_resources]
+ * @param {boolean} [params.isInitialAgent]
+ * @returns {Promise<Agent>}
+ */
 const initializeAgentOptions = async ({
   req,
   res,
@@ -89,8 +102,10 @@ const initializeAgentOptions = async ({
 
   const provider = agent.provider;
   let getOptions = providerConfigMap[provider];
-
-  if (!getOptions) {
+  if (!getOptions && providerConfigMap[provider.toLowerCase()] != null) {
+    agent.provider = provider.toLowerCase();
+    getOptions = providerConfigMap[agent.provider];
+  } else if (!getOptions) {
     const customEndpointConfig = await getCustomEndpointConfig(provider);
     if (!customEndpointConfig) {
       throw new Error(`Provider ${provider} not supported`);
@@ -132,6 +147,13 @@ const initializeAgentOptions = async ({
     agent.model_parameters.model = agent.model;
   }
 
+  if (typeof agent.artifacts === 'string' && agent.artifacts !== '') {
+    agent.additional_instructions = generateArtifactsPrompt({
+      endpoint: agent.provider,
+      artifacts: agent.artifacts,
+    });
+  }
+
   const tokensModel =
     agent.provider === EModelEndpoint.azureOpenAI ? agent.model : agent.model_parameters.model;
 

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

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

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

@@ -1,4 +1,4 @@
-const { removeNullishValues } = require('librechat-data-provider');
+const { removeNullishValues, anthropicSettings } = require('librechat-data-provider');
 const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
 
 const buildOptions = (endpoint, parsedBody) => {
@@ -6,8 +6,10 @@ const buildOptions = (endpoint, parsedBody) => {
     modelLabel,
     promptPrefix,
     maxContextTokens,
-    resendFiles = true,
-    promptCache = true,
+    resendFiles = anthropicSettings.resendFiles.default,
+    promptCache = anthropicSettings.promptCache.default,
+    thinking = anthropicSettings.thinking.default,
+    thinkingBudget = anthropicSettings.thinkingBudget.default,
     iconURL,
     greeting,
     spec,
@@ -21,6 +23,8 @@ const buildOptions = (endpoint, parsedBody) => {
     promptPrefix,
     resendFiles,
     promptCache,
+    thinking,
+    thinkingBudget,
     iconURL,
     greeting,
     spec,

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

@@ -0,0 +1,111 @@
+const { EModelEndpoint, anthropicSettings } = require('librechat-data-provider');
+const { matchModelName } = require('~/utils');
+const { logger } = require('~/config');
+
+/**
+ * @param {string} modelName
+ * @returns {boolean}
+ */
+function checkPromptCacheSupport(modelName) {
+  const modelMatch = matchModelName(modelName, EModelEndpoint.anthropic);
+  if (
+    modelMatch.includes('claude-3-5-sonnet-latest') ||
+    modelMatch.includes('claude-3.5-sonnet-latest')
+  ) {
+    return false;
+  }
+
+  if (
+    modelMatch === 'claude-3-7-sonnet' ||
+    modelMatch === 'claude-3-5-sonnet' ||
+    modelMatch === 'claude-3-5-haiku' ||
+    modelMatch === 'claude-3-haiku' ||
+    modelMatch === 'claude-3-opus' ||
+    modelMatch === 'claude-3.7-sonnet' ||
+    modelMatch === 'claude-3.5-sonnet' ||
+    modelMatch === 'claude-3.5-haiku'
+  ) {
+    return true;
+  }
+
+  return false;
+}
+
+/**
+ * Gets the appropriate headers for Claude models with cache control
+ * @param {string} model The model name
+ * @param {boolean} supportsCacheControl Whether the model supports cache control
+ * @returns {AnthropicClientOptions['extendedOptions']['defaultHeaders']|undefined} The headers object or undefined if not applicable
+ */
+function getClaudeHeaders(model, supportsCacheControl) {
+  if (!supportsCacheControl) {
+    return undefined;
+  }
+
+  if (/claude-3[-.]5-sonnet/.test(model)) {
+    return {
+      'anthropic-beta': 'max-tokens-3-5-sonnet-2024-07-15,prompt-caching-2024-07-31',
+    };
+  } else if (/claude-3[-.]7/.test(model)) {
+    return {
+      'anthropic-beta':
+        'token-efficient-tools-2025-02-19,output-128k-2025-02-19,prompt-caching-2024-07-31',
+    };
+  } else {
+    return {
+      'anthropic-beta': 'prompt-caching-2024-07-31',
+    };
+  }
+}
+
+/**
+ * Configures reasoning-related options for Claude models
+ * @param {AnthropicClientOptions & { max_tokens?: number }} anthropicInput The request options object
+ * @param {Object} extendedOptions Additional client configuration options
+ * @param {boolean} extendedOptions.thinking Whether thinking is enabled in client config
+ * @param {number|null} extendedOptions.thinkingBudget The token budget for thinking
+ * @returns {Object} Updated request options
+ */
+function configureReasoning(anthropicInput, extendedOptions = {}) {
+  const updatedOptions = { ...anthropicInput };
+  const currentMaxTokens = updatedOptions.max_tokens ?? updatedOptions.maxTokens;
+  if (
+    extendedOptions.thinking &&
+    updatedOptions?.model &&
+    /claude-3[-.]7/.test(updatedOptions.model)
+  ) {
+    updatedOptions.thinking = {
+      type: 'enabled',
+    };
+  }
+
+  if (updatedOptions.thinking != null && extendedOptions.thinkingBudget != null) {
+    updatedOptions.thinking = {
+      ...updatedOptions.thinking,
+      budget_tokens: extendedOptions.thinkingBudget,
+    };
+  }
+
+  if (
+    updatedOptions.thinking != null &&
+    (currentMaxTokens == null || updatedOptions.thinking.budget_tokens > currentMaxTokens)
+  ) {
+    const maxTokens = anthropicSettings.maxOutputTokens.reset(updatedOptions.model);
+    updatedOptions.max_tokens = currentMaxTokens ?? maxTokens;
+
+    logger.warn(
+      updatedOptions.max_tokens === maxTokens
+        ? '[AnthropicClient] max_tokens is not defined while thinking is enabled. Setting max_tokens to model default.'
+        : `[AnthropicClient] thinking budget_tokens (${updatedOptions.thinking.budget_tokens}) exceeds max_tokens (${updatedOptions.max_tokens}). Adjusting budget_tokens.`,
+    );
+
+    updatedOptions.thinking.budget_tokens = Math.min(
+      updatedOptions.thinking.budget_tokens,
+      Math.floor(updatedOptions.max_tokens * 0.9),
+    );
+  }
+
+  return updatedOptions;
+}
+
+module.exports = { checkPromptCacheSupport, getClaudeHeaders, configureReasoning };

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

@@ -1,5 +1,6 @@
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const { anthropicSettings, removeNullishValues } = require('librechat-data-provider');
+const { checkPromptCacheSupport, getClaudeHeaders, configureReasoning } = require('./helpers');
 
 /**
  * Generates configuration options for creating an Anthropic language model (LLM) instance.
@@ -20,6 +21,14 @@ const { anthropicSettings, removeNullishValues } = require('librechat-data-provi
  * @returns {Object} Configuration options for creating an Anthropic LLM instance, with null and undefined values removed.
  */
 function getLLMConfig(apiKey, options = {}) {
+  const systemOptions = {
+    thinking: options.modelOptions.thinking ?? anthropicSettings.thinking.default,
+    promptCache: options.modelOptions.promptCache ?? anthropicSettings.promptCache.default,
+    thinkingBudget: options.modelOptions.thinkingBudget ?? anthropicSettings.thinkingBudget.default,
+  };
+  for (let key in systemOptions) {
+    delete options.modelOptions[key];
+  }
   const defaultOptions = {
     model: anthropicSettings.model.default,
     maxOutputTokens: anthropicSettings.maxOutputTokens.default,
@@ -29,19 +38,34 @@ function getLLMConfig(apiKey, options = {}) {
   const mergedOptions = Object.assign(defaultOptions, options.modelOptions);
 
   /** @type {AnthropicClientOptions} */
-  const requestOptions = {
+  let requestOptions = {
     apiKey,
     model: mergedOptions.model,
     stream: mergedOptions.stream,
     temperature: mergedOptions.temperature,
-    topP: mergedOptions.topP,
-    topK: mergedOptions.topK,
     stopSequences: mergedOptions.stop,
     maxTokens:
       mergedOptions.maxOutputTokens || anthropicSettings.maxOutputTokens.reset(mergedOptions.model),
     clientOptions: {},
   };
 
+  requestOptions = configureReasoning(requestOptions, systemOptions);
+
+  if (!/claude-3[-.]7/.test(mergedOptions.model)) {
+    requestOptions.topP = mergedOptions.topP;
+    requestOptions.topK = mergedOptions.topK;
+  } else if (requestOptions.thinking == null) {
+    requestOptions.topP = mergedOptions.topP;
+    requestOptions.topK = mergedOptions.topK;
+  }
+
+  const supportsCacheControl =
+    systemOptions.promptCache === true && checkPromptCacheSupport(requestOptions.model);
+  const headers = getClaudeHeaders(requestOptions.model, supportsCacheControl);
+  if (headers) {
+    requestOptions.clientOptions.defaultHeaders = headers;
+  }
+
   if (options.proxy) {
     requestOptions.clientOptions.httpAgent = new HttpsProxyAgent(options.proxy);
   }

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

@@ -0,0 +1,153 @@
+const { anthropicSettings } = require('librechat-data-provider');
+const { getLLMConfig } = require('~/server/services/Endpoints/anthropic/llm');
+
+jest.mock('https-proxy-agent', () => ({
+  HttpsProxyAgent: jest.fn().mockImplementation((proxy) => ({ proxy })),
+}));
+
+describe('getLLMConfig', () => {
+  it('should create a basic configuration with default values', () => {
+    const result = getLLMConfig('test-api-key', { modelOptions: {} });
+
+    expect(result.llmConfig).toHaveProperty('apiKey', 'test-api-key');
+    expect(result.llmConfig).toHaveProperty('model', anthropicSettings.model.default);
+    expect(result.llmConfig).toHaveProperty('stream', true);
+    expect(result.llmConfig).toHaveProperty('maxTokens');
+  });
+
+  it('should include proxy settings when provided', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {},
+      proxy: 'http://proxy:8080',
+    });
+
+    expect(result.llmConfig.clientOptions).toHaveProperty('httpAgent');
+    expect(result.llmConfig.clientOptions.httpAgent).toHaveProperty('proxy', 'http://proxy:8080');
+  });
+
+  it('should include reverse proxy URL when provided', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {},
+      reverseProxyUrl: 'http://reverse-proxy',
+    });
+
+    expect(result.llmConfig.clientOptions).toHaveProperty('baseURL', 'http://reverse-proxy');
+  });
+
+  it('should include topK and topP for non-Claude-3.7 models', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-opus',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('topK', 10);
+    expect(result.llmConfig).toHaveProperty('topP', 0.9);
+  });
+
+  it('should include topK and topP for Claude-3.5 models', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-5-sonnet',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('topK', 10);
+    expect(result.llmConfig).toHaveProperty('topP', 0.9);
+  });
+
+  it('should NOT include topK and topP for Claude-3-7 models (hyphen notation)', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).not.toHaveProperty('topK');
+    expect(result.llmConfig).not.toHaveProperty('topP');
+  });
+
+  it('should NOT include topK and topP for Claude-3.7 models (decimal notation)', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3.7-sonnet',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).not.toHaveProperty('topK');
+    expect(result.llmConfig).not.toHaveProperty('topP');
+  });
+
+  it('should handle custom maxOutputTokens', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-opus',
+        maxOutputTokens: 2048,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('maxTokens', 2048);
+  });
+
+  it('should handle promptCache setting', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-5-sonnet',
+        promptCache: true,
+      },
+    });
+
+    // We're not checking specific header values since that depends on the actual helper function
+    // Just verifying that the promptCache setting is processed
+    expect(result.llmConfig).toBeDefined();
+  });
+
+  it('should include topK and topP for Claude-3.7 models when thinking is not enabled', () => {
+    // Test with thinking explicitly set to null/undefined
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        topK: 10,
+        topP: 0.9,
+        thinking: false,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('topK', 10);
+    expect(result.llmConfig).toHaveProperty('topP', 0.9);
+
+    // Test with thinking explicitly set to false
+    const result2 = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        topK: 10,
+        topP: 0.9,
+        thinking: false,
+      },
+    });
+
+    expect(result2.llmConfig).toHaveProperty('topK', 10);
+    expect(result2.llmConfig).toHaveProperty('topP', 0.9);
+
+    // Test with decimal notation as well
+    const result3 = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3.7-sonnet',
+        topK: 10,
+        topP: 0.9,
+        thinking: false,
+      },
+    });
+
+    expect(result3.llmConfig).toHaveProperty('topK', 10);
+    expect(result3.llmConfig).toHaveProperty('topP', 0.9);
+  });
+});

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

@@ -1,4 +1,5 @@
 const { HttpsProxyAgent } = require('https-proxy-agent');
+const { KnownEndpoints } = require('librechat-data-provider');
 const { sanitizeModelName, constructAzureURL } = require('~/utils');
 const { isEnabled } = require('~/server/utils');
 
@@ -28,7 +29,6 @@ function getLLMConfig(apiKey, options = {}) {
   const {
     modelOptions = {},
     reverseProxyUrl,
-    useOpenRouter,
     defaultQuery,
     headers,
     proxy,
@@ -55,12 +55,13 @@ function getLLMConfig(apiKey, options = {}) {
     });
   }
 
+  let useOpenRouter;
   /** @type {OpenAIClientOptions['configuration']} */
   const configOptions = {};
-
-  // Handle OpenRouter or custom reverse proxy
-  if (useOpenRouter || reverseProxyUrl === 'https://openrouter.ai/api/v1') {
-    configOptions.baseURL = 'https://openrouter.ai/api/v1';
+  if (reverseProxyUrl && reverseProxyUrl.includes(KnownEndpoints.openrouter)) {
+    useOpenRouter = true;
+    llmConfig.include_reasoning = true;
+    configOptions.baseURL = reverseProxyUrl;
     configOptions.defaultHeaders = Object.assign(
       {
         'HTTP-Referer': 'https://librechat.ai',
@@ -118,6 +119,13 @@ function getLLMConfig(apiKey, options = {}) {
     llmConfig.organization = process.env.OPENAI_ORGANIZATION;
   }
 
+  if (useOpenRouter && llmConfig.reasoning_effort != null) {
+    llmConfig.reasoning = {
+      effort: llmConfig.reasoning_effort,
+    };
+    delete llmConfig.reasoning_effort;
+  }
+
   return {
     /** @type {OpenAIClientOptions} */
     llmConfig,

api/server/services/Files/Code/crud.js

@@ -2,6 +2,7 @@
 const axios = require('axios');
 const FormData = require('form-data');
 const { getCodeBaseURL } = require('@librechat/agents');
+const { logAxiosError } = require('~/utils');
 
 const MAX_FILE_SIZE = 150 * 1024 * 1024;
 
@@ -78,7 +79,11 @@ async function uploadCodeEnvFile({ req, stream, filename, apiKey, entity_id = ''
 
     return `${fileIdentifier}?entity_id=${entity_id}`;
   } catch (error) {
-    throw new Error(`Error uploading file: ${error.message}`);
+    logAxiosError({
+      message: `Error uploading code environment file: ${error.message}`,
+      error,
+    });
+    throw new Error(`Error uploading code environment file: ${error.message}`);
   }
 }
 

api/server/services/Files/Code/process.js

@@ -12,6 +12,7 @@ const {
 const { getStrategyFunctions } = require('~/server/services/Files/strategies');
 const { convertImage } = require('~/server/services/Files/images/convert');
 const { createFile, getFiles, updateFile } = require('~/models/File');
+const { logAxiosError } = require('~/utils');
 const { logger } = require('~/config');
 
 /**
@@ -85,7 +86,10 @@ const processCodeOutput = async ({
     /** Note: `messageId` & `toolCallId` are not part of file DB schema; message object records associated file ID */
     return Object.assign(file, { messageId, toolCallId });
   } catch (error) {
-    logger.error('Error downloading file:', error);
+    logAxiosError({
+      message: 'Error downloading code environment file',
+      error,
+    });
   }
 };
 
@@ -135,7 +139,10 @@ async function getSessionInfo(fileIdentifier, apiKey) {
 
     return response.data.find((file) => file.name.startsWith(path))?.lastModified;
   } catch (error) {
-    logger.error(`Error fetching session info: ${error.message}`, error);
+    logAxiosError({
+      message: `Error fetching session info: ${error.message}`,
+      error,
+    });
     return null;
   }
 }
@@ -202,7 +209,7 @@ const primeFiles = async (options, apiKey) => {
           const { handleFileUpload: uploadCodeEnvFile } = getStrategyFunctions(
             FileSources.execute_code,
           );
-          const stream = await getDownloadStream(file.filepath);
+          const stream = await getDownloadStream(options.req, file.filepath);
           const fileIdentifier = await uploadCodeEnvFile({
             req: options.req,
             stream,

api/server/services/Files/Firebase/crud.js

@@ -224,10 +224,11 @@ async function uploadFileToFirebase({ req, file, file_id }) {
 /**
  * Retrieves a readable stream for a file from Firebase storage.
  *
+ * @param {ServerRequest} _req
  * @param {string} filepath - The filepath.
  * @returns {Promise<ReadableStream>} A readable stream of the file.
  */
-async function getFirebaseFileStream(filepath) {
+async function getFirebaseFileStream(_req, filepath) {
   try {
     const storage = getFirebaseStorage();
     if (!storage) {

api/server/services/Files/Local/crud.js

@@ -175,6 +175,17 @@ const isValidPath = (req, base, subfolder, filepath) => {
   return normalizedFilepath.startsWith(normalizedBase);
 };
 
+/**
+ * @param {string} filepath
+ */
+const unlinkFile = async (filepath) => {
+  try {
+    await fs.promises.unlink(filepath);
+  } catch (error) {
+    logger.error('Error deleting file:', error);
+  }
+};
+
 /**
  * Deletes a file from the filesystem. This function takes a file object, constructs the full path, and
  * verifies the path's validity before deleting the file. If the path is invalid, an error is thrown.
@@ -217,7 +228,7 @@ const deleteLocalFile = async (req, file) => {
       throw new Error(`Invalid file path: ${file.filepath}`);
     }
 
-    await fs.promises.unlink(filepath);
+    await unlinkFile(filepath);
     return;
   }
 
@@ -233,7 +244,7 @@ const deleteLocalFile = async (req, file) => {
     throw new Error('Invalid file path');
   }
 
-  await fs.promises.unlink(filepath);
+  await unlinkFile(filepath);
 };
 
 /**
@@ -275,11 +286,31 @@ async function uploadLocalFile({ req, file, file_id }) {
 /**
  * Retrieves a readable stream for a file from local storage.
  *
+ * @param {ServerRequest} req - The request object from Express
  * @param {string} filepath - The filepath.
  * @returns {ReadableStream} A readable stream of the file.
  */
-function getLocalFileStream(filepath) {
+function getLocalFileStream(req, filepath) {
   try {
+    if (filepath.includes('/uploads/')) {
+      const basePath = filepath.split('/uploads/')[1];
+
+      if (!basePath) {
+        logger.warn(`Invalid base path: ${filepath}`);
+        throw new Error(`Invalid file path: ${filepath}`);
+      }
+
+      const fullPath = path.join(req.app.locals.paths.uploads, basePath);
+      const uploadsDir = req.app.locals.paths.uploads;
+
+      const rel = path.relative(uploadsDir, fullPath);
+      if (rel.startsWith('..') || path.isAbsolute(rel) || rel.includes(`..${path.sep}`)) {
+        logger.warn(`Invalid relative file path: ${filepath}`);
+        throw new Error(`Invalid file path: ${filepath}`);
+      }
+
+      return fs.createReadStream(fullPath);
+    }
     return fs.createReadStream(filepath);
   } catch (error) {
     logger.error('Error getting local file stream:', error);

api/server/services/Files/VectorDB/crud.js

@@ -37,7 +37,14 @@ const deleteVectors = async (req, file) => {
       error,
       message: 'Error deleting vectors',
     });
-    throw new Error(error.message || 'An error occurred during file deletion.');
+    if (
+      error.response &&
+      error.response.status !== 404 &&
+      (error.response.status < 200 || error.response.status >= 300)
+    ) {
+      logger.warn('Error deleting vectors, file will not be deleted');
+      throw new Error(error.message || 'An error occurred during file deletion.');
+    }
   }
 };
 

api/server/services/Files/process.js

@@ -347,8 +347,8 @@ const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true })
       req.app.locals.imageOutputType
     }`;
   }
-
-  const filepath = await saveBuffer({ userId: req.user.id, fileName: filename, buffer });
+  const fileName = `${file_id}-${filename}`;
+  const filepath = await saveBuffer({ userId: req.user.id, fileName, buffer });
   return await createFile(
     {
       user: req.user.id,
@@ -801,8 +801,7 @@ async function saveBase64Image(
   { req, file_id: _file_id, filename: _filename, endpoint, context, resolution = 'high' },
 ) {
   const file_id = _file_id ?? v4();
-
-  let filename = _filename;
+  let filename = `${file_id}-${_filename}`;
   const { buffer: inputBuffer, type } = base64ToBuffer(url);
   if (!path.extname(_filename)) {
     const extension = mime.getExtension(type);

api/server/services/ModelService.js

@@ -1,4 +1,5 @@
 const axios = require('axios');
+const { Providers } = require('@librechat/agents');
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const { EModelEndpoint, defaultModels, CacheKeys } = require('librechat-data-provider');
 const { inputSchema, logAxiosError, extractBaseURL, processModelData } = require('~/utils');
@@ -57,7 +58,7 @@ const fetchModels = async ({
     return models;
   }
 
-  if (name && name.toLowerCase().startsWith('ollama')) {
+  if (name && name.toLowerCase().startsWith(Providers.OLLAMA)) {
     return await OllamaClient.fetchModels(baseURL);
   }
 
@@ -128,9 +129,6 @@ const fetchOpenAIModels = async (opts, _models = []) => {
     //   .split('/deployments')[0]
     //   .concat(`/models?api-version=${azure.azureOpenAIApiVersion}`);
     // apiKey = azureOpenAIApiKey;
-  } else if (process.env.OPENROUTER_API_KEY) {
-    reverseProxyUrl = 'https://openrouter.ai/api/v1';
-    apiKey = process.env.OPENROUTER_API_KEY;
   }
 
   if (reverseProxyUrl) {
@@ -217,7 +215,7 @@ const getOpenAIModels = async (opts) => {
     return models;
   }
 
-  if (userProvidedOpenAI && !process.env.OPENROUTER_API_KEY) {
+  if (userProvidedOpenAI) {
     return models;
   }
 

api/server/services/ModelService.spec.js

@@ -161,22 +161,6 @@ describe('getOpenAIModels', () => {
     expect(models).toEqual(expect.arrayContaining(['openai-model', 'openai-model-2']));
   });
 
-  it('attempts to use OPENROUTER_API_KEY if set', async () => {
-    process.env.OPENROUTER_API_KEY = 'test-router-key';
-    const expectedModels = ['model-router-1', 'model-router-2'];
-
-    axios.get.mockResolvedValue({
-      data: {
-        data: expectedModels.map((id) => ({ id })),
-      },
-    });
-
-    const models = await getOpenAIModels({ user: 'user456' });
-
-    expect(models).toEqual(expect.arrayContaining(expectedModels));
-    expect(axios.get).toHaveBeenCalled();
-  });
-
   it('utilizes proxy configuration when PROXY is set', async () => {
     axios.get.mockResolvedValue({
       data: {

api/server/services/start/interface.js

@@ -34,6 +34,8 @@ async function loadDefaultInterface(config, configDefaults, roleName = SystemRol
     multiConvo: interfaceConfig?.multiConvo ?? defaults.multiConvo,
     agents: interfaceConfig?.agents ?? defaults.agents,
     temporaryChat: interfaceConfig?.temporaryChat ?? defaults.temporaryChat,
+    runCode: interfaceConfig?.runCode ?? defaults.runCode,
+    customWelcome: interfaceConfig?.customWelcome ?? defaults.customWelcome,
   });
 
   await updateAccessPermissions(roleName, {
@@ -41,12 +43,16 @@ async function loadDefaultInterface(config, configDefaults, roleName = SystemRol
     [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: loadedInterface.bookmarks },
     [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: loadedInterface.multiConvo },
     [PermissionTypes.AGENTS]: { [Permissions.USE]: loadedInterface.agents },
+    [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: loadedInterface.temporaryChat },
+    [PermissionTypes.RUN_CODE]: { [Permissions.USE]: loadedInterface.runCode },
   });
   await updateAccessPermissions(SystemRoles.ADMIN, {
     [PermissionTypes.PROMPTS]: { [Permissions.USE]: loadedInterface.prompts },
     [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: loadedInterface.bookmarks },
     [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: loadedInterface.multiConvo },
     [PermissionTypes.AGENTS]: { [Permissions.USE]: loadedInterface.agents },
+    [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: loadedInterface.temporaryChat },
+    [PermissionTypes.RUN_CODE]: { [Permissions.USE]: loadedInterface.runCode },
   });
 
   let i = 0;

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

@@ -14,6 +14,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: true,
         multiConvo: true,
         agents: true,
+        temporaryChat: true,
+        runCode: true,
       },
     };
     const configDefaults = { interface: {} };
@@ -25,6 +27,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: true },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: true },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: true },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: true },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: true },
     });
   });
 
@@ -35,6 +39,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: false,
         multiConvo: false,
         agents: false,
+        temporaryChat: false,
+        runCode: false,
       },
     };
     const configDefaults = { interface: {} };
@@ -46,6 +52,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: false },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: false },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: false },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: false },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: false },
     });
   });
 
@@ -60,6 +68,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: undefined },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: undefined },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: undefined },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: undefined },
     });
   });
 
@@ -70,6 +80,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: undefined,
         multiConvo: undefined,
         agents: undefined,
+        temporaryChat: undefined,
+        runCode: undefined,
       },
     };
     const configDefaults = { interface: {} };
@@ -81,6 +93,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: undefined },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: undefined },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: undefined },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: undefined },
     });
   });
 
@@ -91,6 +105,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: false,
         multiConvo: undefined,
         agents: true,
+        temporaryChat: undefined,
+        runCode: false,
       },
     };
     const configDefaults = { interface: {} };
@@ -102,6 +118,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: false },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: undefined },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: true },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: false },
     });
   });
 
@@ -113,6 +131,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: true,
         multiConvo: true,
         agents: true,
+        temporaryChat: true,
+        runCode: true,
       },
     };
 
@@ -123,6 +143,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: true },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: true },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: true },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: true },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: true },
     });
   });
 
@@ -137,6 +159,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: undefined },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: true },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: undefined },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: undefined },
     });
   });
 
@@ -151,6 +175,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: undefined },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: false },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: undefined },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: undefined },
     });
   });
 
@@ -165,6 +191,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: undefined },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: undefined },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: undefined },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: undefined },
     });
   });
 
@@ -175,6 +203,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: false,
         multiConvo: true,
         agents: false,
+        temporaryChat: true,
+        runCode: false,
       },
     };
     const configDefaults = { interface: {} };
@@ -186,6 +216,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: false },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: true },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: false },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: true },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: false },
     });
   });
 
@@ -197,6 +229,8 @@ describe('loadDefaultInterface', () => {
         bookmarks: true,
         multiConvo: false,
         agents: undefined,
+        temporaryChat: undefined,
+        runCode: undefined,
       },
     };
 
@@ -207,6 +241,8 @@ describe('loadDefaultInterface', () => {
       [PermissionTypes.BOOKMARKS]: { [Permissions.USE]: true },
       [PermissionTypes.MULTI_CONVO]: { [Permissions.USE]: false },
       [PermissionTypes.AGENTS]: { [Permissions.USE]: undefined },
+      [PermissionTypes.TEMPORARY_CHAT]: { [Permissions.USE]: undefined },
+      [PermissionTypes.RUN_CODE]: { [Permissions.USE]: undefined },
     });
   });
 });

api/server/services/twoFactorService.js

@@ -0,0 +1,238 @@
+const { sign } = require('jsonwebtoken');
+const { webcrypto } = require('node:crypto');
+const { hashBackupCode, decryptV2 } = require('~/server/utils/crypto');
+const { updateUser } = require('~/models/userMethods');
+
+const BASE32_ALPHABET = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ234567';
+
+/**
+ * Encodes a Buffer into a Base32 string using the RFC 4648 alphabet.
+ *
+ * @param {Buffer} buffer - The buffer to encode.
+ * @returns {string} The Base32 encoded string.
+ */
+const encodeBase32 = (buffer) => {
+  let bits = 0;
+  let value = 0;
+  let output = '';
+  for (const byte of buffer) {
+    value = (value << 8) | byte;
+    bits += 8;
+    while (bits >= 5) {
+      output += BASE32_ALPHABET[(value >>> (bits - 5)) & 31];
+      bits -= 5;
+    }
+  }
+  if (bits > 0) {
+    output += BASE32_ALPHABET[(value << (5 - bits)) & 31];
+  }
+  return output;
+};
+
+/**
+ * Decodes a Base32-encoded string back into a Buffer.
+ *
+ * @param {string} base32Str - The Base32-encoded string.
+ * @returns {Buffer} The decoded buffer.
+ */
+const decodeBase32 = (base32Str) => {
+  const cleaned = base32Str.replace(/=+$/, '').toUpperCase();
+  let bits = 0;
+  let value = 0;
+  const output = [];
+  for (const char of cleaned) {
+    const idx = BASE32_ALPHABET.indexOf(char);
+    if (idx === -1) {
+      continue;
+    }
+    value = (value << 5) | idx;
+    bits += 5;
+    if (bits >= 8) {
+      output.push((value >>> (bits - 8)) & 0xff);
+      bits -= 8;
+    }
+  }
+  return Buffer.from(output);
+};
+
+/**
+ * Generates a temporary token for 2FA verification.
+ * The token is signed with the JWT_SECRET and expires in 5 minutes.
+ *
+ * @param {string} userId - The unique identifier of the user.
+ * @returns {string} The signed JWT token.
+ */
+const generate2FATempToken = (userId) =>
+  sign({ userId, twoFAPending: true }, process.env.JWT_SECRET, { expiresIn: '5m' });
+
+/**
+ * Generates a TOTP secret.
+ * Creates 10 random bytes using WebCrypto and encodes them into a Base32 string.
+ *
+ * @returns {string} A Base32-encoded secret for TOTP.
+ */
+const generateTOTPSecret = () => {
+  const randomArray = new Uint8Array(10);
+  webcrypto.getRandomValues(randomArray);
+  return encodeBase32(Buffer.from(randomArray));
+};
+
+/**
+ * Generates a Time-based One-Time Password (TOTP) based on the provided secret and time.
+ * This implementation uses a 30-second time step and produces a 6-digit code.
+ *
+ * @param {string} secret - The Base32-encoded TOTP secret.
+ * @param {number} [forTime=Date.now()] - The time (in milliseconds) for which to generate the TOTP.
+ * @returns {Promise<string>} A promise that resolves to the 6-digit TOTP code.
+ */
+const generateTOTP = async (secret, forTime = Date.now()) => {
+  const timeStep = 30; // seconds
+  const counter = Math.floor(forTime / 1000 / timeStep);
+  const counterBuffer = new ArrayBuffer(8);
+  const counterView = new DataView(counterBuffer);
+  // Write counter into the last 4 bytes (big-endian)
+  counterView.setUint32(4, counter, false);
+
+  // Decode the secret into an ArrayBuffer
+  const keyBuffer = decodeBase32(secret);
+  const keyArrayBuffer = keyBuffer.buffer.slice(
+    keyBuffer.byteOffset,
+    keyBuffer.byteOffset + keyBuffer.byteLength,
+  );
+
+  // Import the key for HMAC-SHA1 signing
+  const cryptoKey = await webcrypto.subtle.importKey(
+    'raw',
+    keyArrayBuffer,
+    { name: 'HMAC', hash: 'SHA-1' },
+    false,
+    ['sign'],
+  );
+
+  // Generate HMAC signature
+  const signatureBuffer = await webcrypto.subtle.sign('HMAC', cryptoKey, counterBuffer);
+  const hmac = new Uint8Array(signatureBuffer);
+
+  // Dynamic truncation as per RFC 4226
+  const offset = hmac[hmac.length - 1] & 0xf;
+  const slice = hmac.slice(offset, offset + 4);
+  const view = new DataView(slice.buffer, slice.byteOffset, slice.byteLength);
+  const binaryCode = view.getUint32(0, false) & 0x7fffffff;
+  const code = (binaryCode % 1000000).toString().padStart(6, '0');
+  return code;
+};
+
+/**
+ * Verifies a provided TOTP token against the secret.
+ * It allows for a ±1 time-step window to account for slight clock discrepancies.
+ *
+ * @param {string} secret - The Base32-encoded TOTP secret.
+ * @param {string} token - The TOTP token provided by the user.
+ * @returns {Promise<boolean>} A promise that resolves to true if the token is valid; otherwise, false.
+ */
+const verifyTOTP = async (secret, token) => {
+  const timeStepMS = 30 * 1000;
+  const currentTime = Date.now();
+  for (let offset = -1; offset <= 1; offset++) {
+    const expected = await generateTOTP(secret, currentTime + offset * timeStepMS);
+    if (expected === token) {
+      return true;
+    }
+  }
+  return false;
+};
+
+/**
+ * Generates backup codes for two-factor authentication.
+ * Each backup code is an 8-character hexadecimal string along with its SHA-256 hash.
+ * The plain codes are returned for one-time download, while the hashed objects are meant for secure storage.
+ *
+ * @param {number} [count=10] - The number of backup codes to generate.
+ * @returns {Promise<{ plainCodes: string[], codeObjects: Array<{ codeHash: string, used: boolean, usedAt: Date | null }> }>}
+ *          A promise that resolves to an object containing both plain backup codes and their corresponding code objects.
+ */
+const generateBackupCodes = async (count = 10) => {
+  const plainCodes = [];
+  const codeObjects = [];
+  const encoder = new TextEncoder();
+  for (let i = 0; i < count; i++) {
+    const randomArray = new Uint8Array(4);
+    webcrypto.getRandomValues(randomArray);
+    const code = Array.from(randomArray)
+      .map((b) => b.toString(16).padStart(2, '0'))
+      .join(''); // 8-character hex code
+    plainCodes.push(code);
+
+    // Compute SHA-256 hash of the code using WebCrypto
+    const codeBuffer = encoder.encode(code);
+    const hashBuffer = await webcrypto.subtle.digest('SHA-256', codeBuffer);
+    const hashArray = Array.from(new Uint8Array(hashBuffer));
+    const codeHash = hashArray.map((b) => b.toString(16).padStart(2, '0')).join('');
+    codeObjects.push({ codeHash, used: false, usedAt: null });
+  }
+  return { plainCodes, codeObjects };
+};
+
+/**
+ * Verifies a backup code for a user and updates its status as used if valid.
+ *
+ * @param {Object} params - The parameters object.
+ * @param {TUser | undefined} [params.user] - The user object containing backup codes.
+ * @param {string | undefined} [params.backupCode] - The backup code to verify.
+ * @returns {Promise<boolean>} A promise that resolves to true if the backup code is valid and updated; otherwise, false.
+ */
+const verifyBackupCode = async ({ user, backupCode }) => {
+  if (!backupCode || !user || !Array.isArray(user.backupCodes)) {
+    return false;
+  }
+
+  const hashedInput = await hashBackupCode(backupCode.trim());
+  const matchingCode = user.backupCodes.find(
+    (codeObj) => codeObj.codeHash === hashedInput && !codeObj.used,
+  );
+
+  if (matchingCode) {
+    const updatedBackupCodes = user.backupCodes.map((codeObj) =>
+      codeObj.codeHash === hashedInput && !codeObj.used
+        ? { ...codeObj, used: true, usedAt: new Date() }
+        : codeObj,
+    );
+
+    await updateUser(user._id, { backupCodes: updatedBackupCodes });
+    return true;
+  }
+
+  return false;
+};
+
+/**
+ * Retrieves and, if necessary, decrypts a stored TOTP secret.
+ * If the secret contains a colon, it is assumed to be in the format "iv:encryptedData" and will be decrypted.
+ * If the secret is exactly 16 characters long, it is assumed to be a legacy plain secret.
+ *
+ * @param {string|null} storedSecret - The stored TOTP secret (which may be encrypted).
+ * @returns {Promise<string|null>} A promise that resolves to the plain TOTP secret, or null if none is provided.
+ */
+const getTOTPSecret = async (storedSecret) => {
+  if (!storedSecret) { return null; }
+  // Check for a colon marker (encrypted secrets are stored as "iv:encryptedData")
+  if (storedSecret.includes(':')) {
+    return await decryptV2(storedSecret);
+  }
+  // If it's exactly 16 characters, assume it's already plain (legacy secret)
+  if (storedSecret.length === 16) {
+    return storedSecret;
+  }
+  // Fallback in case it doesn't meet our criteria.
+  return storedSecret;
+};
+
+module.exports = {
+  verifyTOTP,
+  generateTOTP,
+  getTOTPSecret,
+  verifyBackupCode,
+  generateTOTPSecret,
+  generateBackupCodes,
+  generate2FATempToken,
+};

api/server/utils/crypto.js

@@ -112,4 +112,25 @@ async function getRandomValues(length) {
   return Buffer.from(randomValues).toString('hex');
 }
 
-module.exports = { encrypt, decrypt, encryptV2, decryptV2, hashToken, getRandomValues };
+/**
+ * Computes SHA-256 hash for the given input using WebCrypto
+ * @param {string} input
+ * @returns {Promise<string>} - Hex hash string
+ */
+const hashBackupCode = async (input) => {
+  const encoder = new TextEncoder();
+  const data = encoder.encode(input);
+  const hashBuffer = await webcrypto.subtle.digest('SHA-256', data);
+  const hashArray = Array.from(new Uint8Array(hashBuffer));
+  return hashArray.map((b) => b.toString(16).padStart(2, '0')).join('');
+};
+
+module.exports = {
+  encrypt,
+  decrypt,
+  encryptV2,
+  decryptV2,
+  hashToken,
+  hashBackupCode,
+  getRandomValues,
+};

api/server/utils/handleText.js

@@ -200,6 +200,7 @@ function generateConfig(key, baseURL, endpoint) {
     config.capabilities = [
       AgentCapabilities.execute_code,
       AgentCapabilities.file_search,
+      AgentCapabilities.artifacts,
       AgentCapabilities.actions,
       AgentCapabilities.tools,
     ];

api/server/utils/staticCache.js

@@ -1,4 +1,4 @@
-const express = require('express');
+const expressStaticGzip = require('express-static-gzip');
 
 const oneDayInSeconds = 24 * 60 * 60;
 
@@ -6,13 +6,13 @@ const sMaxAge = process.env.STATIC_CACHE_S_MAX_AGE || oneDayInSeconds;
 const maxAge = process.env.STATIC_CACHE_MAX_AGE || oneDayInSeconds * 2;
 
 const staticCache = (staticPath) =>
-  express.static(staticPath, {
-    setHeaders: (res) => {
-      if (process.env.NODE_ENV?.toLowerCase() !== 'production') {
-        return;
+  expressStaticGzip(staticPath, {
+    enableBrotli: false, // disable Brotli, only using gzip
+    orderPreference: ['gz'],
+    setHeaders: (res, _path) => {
+      if (process.env.NODE_ENV?.toLowerCase() === 'production') {
+        res.setHeader('Cache-Control', `public, max-age=${maxAge}, s-maxage=${sMaxAge}`);
       }
-
-      res.setHeader('Cache-Control', `public, max-age=${maxAge}, s-maxage=${sMaxAge}`);
     },
   });
 

api/strategies/googleStrategy.js

@@ -6,7 +6,7 @@ const getProfileDetails = ({ profile }) => ({
   id: profile.id,
   avatarUrl: profile.photos[0].value,
   username: profile.name.givenName,
-  name: `${profile.name.givenName} ${profile.name.familyName}`,
+  name: `${profile.name.givenName}${profile.name.familyName ? ` ${profile.name.familyName}` : ''}`,
   emailVerified: profile.emails[0].verified,
 });
 

api/strategies/jwtStrategy.js

@@ -12,7 +12,7 @@ const jwtLogin = async () =>
     },
     async (payload, done) => {
       try {
-        const user = await getUserById(payload?.id, '-password -__v');
+        const user = await getUserById(payload?.id, '-password -__v -totpSecret');
         if (user) {
           user.id = user._id.toString();
           if (!user.role) {

api/typedefs.js

@@ -20,6 +20,12 @@
  * @memberof typedefs
  */
 
+/**
+ * @exports NextFunction
+ * @typedef {import('express').NextFunction} NextFunction
+ * @memberof typedefs
+ */
+
 /**
  * @exports AgentRun
  * @typedef {import('@librechat/agents').Run} AgentRun

api/utils/axios.js

@@ -5,40 +5,32 @@ const { logger } = require('~/config');
  *
  * @param {Object} options - The options object.
  * @param {string} options.message - The custom message to be logged.
- * @param {Error} options.error - The Axios error object.
+ * @param {import('axios').AxiosError} options.error - The Axios error object.
  */
 const logAxiosError = ({ message, error }) => {
-  const timedOutMessage = 'Cannot read properties of undefined (reading \'status\')';
-  if (error.response) {
-    logger.error(
-      `${message} The request was made and the server responded with a status code that falls out of the range of 2xx: ${
-        error.message ? error.message : ''
-      }. Error response data:\n`,
-      {
-        headers: error.response?.headers,
-        status: error.response?.status,
-        data: error.response?.data,
-      },
-    );
-  } else if (error.request) {
-    logger.error(
-      `${message} The request was made but no response was received: ${
-        error.message ? error.message : ''
-      }. Error Request:\n`,
-      {
-        request: error.request,
-      },
-    );
-  } else if (error?.message?.includes(timedOutMessage)) {
-    logger.error(
-      `${message}\nThe request either timed out or was unsuccessful. Error message:\n`,
-      error,
-    );
-  } else {
-    logger.error(
-      `${message}\nSomething happened in setting up the request. Error message:\n`,
-      error,
-    );
+  try {
+    if (error.response?.status) {
+      const { status, headers, data } = error.response;
+      logger.error(`${message} The server responded with status ${status}: ${error.message}`, {
+        status,
+        headers,
+        data,
+      });
+    } else if (error.request) {
+      const { method, url } = error.config || {};
+      logger.error(
+        `${message} No response received for ${method ? method.toUpperCase() : ''} ${url || ''}: ${error.message}`,
+        { requestInfo: { method, url } },
+      );
+    } else if (error?.message?.includes('Cannot read properties of undefined (reading \'status\')')) {
+      logger.error(
+        `${message} It appears the request timed out or was unsuccessful: ${error.message}`,
+      );
+    } else {
+      logger.error(`${message} An error occurred while setting up the request: ${error.message}`);
+    }
+  } catch (err) {
+    logger.error(`Error in logAxiosError: ${err.message}`);
   }
 };
 

api/utils/tokens.js

@@ -13,6 +13,7 @@ const openAIModels = {
   'gpt-4-32k-0613': 32758, // -10 from max
   'gpt-4-1106': 127500, // -500 from max
   'gpt-4-0125': 127500, // -500 from max
+  'gpt-4.5': 127500, // -500 from max
   'gpt-4o': 127500, // -500 from max
   'gpt-4o-mini': 127500, // -500 from max
   'gpt-4o-2024-05-13': 127500, // -500 from max
@@ -74,6 +75,7 @@ const anthropicModels = {
   'claude-instant': 100000,
   'claude-2': 100000,
   'claude-2.1': 200000,
+  'claude-3': 200000,
   'claude-3-haiku': 200000,
   'claude-3-sonnet': 200000,
   'claude-3-opus': 200000,
@@ -81,6 +83,8 @@ const anthropicModels = {
   'claude-3-5-haiku': 200000,
   'claude-3-5-sonnet': 200000,
   'claude-3.5-sonnet': 200000,
+  'claude-3-7-sonnet': 200000,
+  'claude-3.7-sonnet': 200000,
   'claude-3-5-sonnet-latest': 200000,
   'claude-3.5-sonnet-latest': 200000,
 };
@@ -183,7 +187,18 @@ const bedrockModels = {
   ...amazonModels,
 };
 
-const aggregateModels = { ...openAIModels, ...googleModels, ...bedrockModels };
+const xAIModels = {
+  'grok-beta': 131072,
+  'grok-vision-beta': 8192,
+  'grok-2': 131072,
+  'grok-2-latest': 131072,
+  'grok-2-1212': 131072,
+  'grok-2-vision': 32768,
+  'grok-2-vision-latest': 32768,
+  'grok-2-vision-1212': 32768,
+};
+
+const aggregateModels = { ...openAIModels, ...googleModels, ...bedrockModels, ...xAIModels };
 
 const maxTokensMap = {
   [EModelEndpoint.azureOpenAI]: openAIModels,

api/utils/tokens.spec.js

@@ -103,6 +103,16 @@ describe('getModelMaxTokens', () => {
     );
   });
 
+  test('should return correct tokens for gpt-4.5 matches', () => {
+    expect(getModelMaxTokens('gpt-4.5')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-4.5']);
+    expect(getModelMaxTokens('gpt-4.5-preview')).toBe(
+      maxTokensMap[EModelEndpoint.openAI]['gpt-4.5'],
+    );
+    expect(getModelMaxTokens('openai/gpt-4.5-preview')).toBe(
+      maxTokensMap[EModelEndpoint.openAI]['gpt-4.5'],
+    );
+  });
+
   test('should return correct tokens for Anthropic models', () => {
     const models = [
       'claude-2.1',
@@ -116,6 +126,7 @@ describe('getModelMaxTokens', () => {
       'claude-3-sonnet',
       'claude-3-opus',
       'claude-3-5-sonnet',
+      'claude-3-7-sonnet',
     ];
 
     const maxTokens = {
@@ -483,3 +494,68 @@ describe('Meta Models Tests', () => {
     });
   });
 });
+
+describe('Grok Model Tests - Tokens', () => {
+  describe('getModelMaxTokens', () => {
+    test('should return correct tokens for Grok vision models', () => {
+      expect(getModelMaxTokens('grok-2-vision-1212')).toBe(32768);
+      expect(getModelMaxTokens('grok-2-vision')).toBe(32768);
+      expect(getModelMaxTokens('grok-2-vision-latest')).toBe(32768);
+    });
+
+    test('should return correct tokens for Grok beta models', () => {
+      expect(getModelMaxTokens('grok-vision-beta')).toBe(8192);
+      expect(getModelMaxTokens('grok-beta')).toBe(131072);
+    });
+
+    test('should return correct tokens for Grok text models', () => {
+      expect(getModelMaxTokens('grok-2-1212')).toBe(131072);
+      expect(getModelMaxTokens('grok-2')).toBe(131072);
+      expect(getModelMaxTokens('grok-2-latest')).toBe(131072);
+    });
+
+    test('should handle partial matches for Grok models with prefixes', () => {
+      // Vision models should match before general models
+      expect(getModelMaxTokens('openai/grok-2-vision-1212')).toBe(32768);
+      expect(getModelMaxTokens('openai/grok-2-vision')).toBe(32768);
+      expect(getModelMaxTokens('openai/grok-2-vision-latest')).toBe(32768);
+      // Beta models
+      expect(getModelMaxTokens('openai/grok-vision-beta')).toBe(8192);
+      expect(getModelMaxTokens('openai/grok-beta')).toBe(131072);
+      // Text models
+      expect(getModelMaxTokens('openai/grok-2-1212')).toBe(131072);
+      expect(getModelMaxTokens('openai/grok-2')).toBe(131072);
+      expect(getModelMaxTokens('openai/grok-2-latest')).toBe(131072);
+    });
+  });
+
+  describe('matchModelName', () => {
+    test('should match exact Grok model names', () => {
+      // Vision models
+      expect(matchModelName('grok-2-vision-1212')).toBe('grok-2-vision-1212');
+      expect(matchModelName('grok-2-vision')).toBe('grok-2-vision');
+      expect(matchModelName('grok-2-vision-latest')).toBe('grok-2-vision-latest');
+      // Beta models
+      expect(matchModelName('grok-vision-beta')).toBe('grok-vision-beta');
+      expect(matchModelName('grok-beta')).toBe('grok-beta');
+      // Text models
+      expect(matchModelName('grok-2-1212')).toBe('grok-2-1212');
+      expect(matchModelName('grok-2')).toBe('grok-2');
+      expect(matchModelName('grok-2-latest')).toBe('grok-2-latest');
+    });
+
+    test('should match Grok model variations with prefixes', () => {
+      // Vision models should match before general models
+      expect(matchModelName('openai/grok-2-vision-1212')).toBe('grok-2-vision-1212');
+      expect(matchModelName('openai/grok-2-vision')).toBe('grok-2-vision');
+      expect(matchModelName('openai/grok-2-vision-latest')).toBe('grok-2-vision-latest');
+      // Beta models
+      expect(matchModelName('openai/grok-vision-beta')).toBe('grok-vision-beta');
+      expect(matchModelName('openai/grok-beta')).toBe('grok-beta');
+      // Text models
+      expect(matchModelName('openai/grok-2-1212')).toBe('grok-2-1212');
+      expect(matchModelName('openai/grok-2')).toBe('grok-2');
+      expect(matchModelName('openai/grok-2-latest')).toBe('grok-2-latest');
+    });
+  });
+});

client/index.html

@@ -6,6 +6,7 @@
     <meta name="mobile-web-app-capable" content="yes" />
     <meta name="apple-mobile-web-app-capable" content="yes" />
     <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
+    <meta name="description" content="LibreChat - An open source chat application with support for multiple AI models" />
     <title>LibreChat</title>
     <link rel="shortcut icon" href="#" />
     <link rel="icon" type="image/png" sizes="32x32" href="/assets/favicon-32x32.png" />
@@ -53,6 +54,5 @@
     <div id="root">
       <div id="loading-container"></div>
     </div>
-    <script type="module" src="/src/main.jsx"></script>
   </body>
 </html>

client/package.json

@@ -28,7 +28,8 @@
   },
   "homepage": "https://librechat.ai",
   "dependencies": {
-    "@ariakit/react": "^0.4.11",
+    "@ariakit/react": "^0.4.15",
+    "@ariakit/react-core": "^0.4.15",
     "@codesandbox/sandpack-react": "^2.19.10",
     "@dicebear/collection": "^7.0.4",
     "@dicebear/core": "^7.0.4",
@@ -43,6 +44,7 @@
     "@radix-ui/react-icons": "^1.3.0",
     "@radix-ui/react-label": "^2.0.0",
     "@radix-ui/react-popover": "^1.0.7",
+    "@radix-ui/react-progress": "^1.1.2",
     "@radix-ui/react-radio-group": "^1.1.3",
     "@radix-ui/react-select": "^2.0.0",
     "@radix-ui/react-separator": "^1.0.3",
@@ -63,6 +65,8 @@
     "framer-motion": "^11.5.4",
     "html-to-image": "^1.11.11",
     "i18next": "^24.2.2",
+    "i18next-browser-languagedetector": "^8.0.3",
+    "input-otp": "^1.4.2",
     "js-cookie": "^3.0.5",
     "librechat-data-provider": "*",
     "lodash": "^4.17.21",
@@ -82,7 +86,7 @@
     "react-i18next": "^15.4.0",
     "react-lazy-load-image-component": "^1.6.0",
     "react-markdown": "^9.0.1",
-    "react-resizable-panels": "^2.1.1",
+    "react-resizable-panels": "^2.1.7",
     "react-router-dom": "^6.11.2",
     "react-speech-recognition": "^3.10.0",
     "react-textarea-autosize": "^8.4.0",
@@ -138,6 +142,7 @@
     "typescript": "^5.3.3",
     "vite": "^6.1.0",
     "vite-plugin-node-polyfills": "^0.17.0",
+    "vite-plugin-compression": "^0.5.1",
     "vite-plugin-pwa": "^0.21.1"
   }
 }

client/public/robots.txt

@@ -0,0 +1,3 @@
+User-agent: *
+Disallow: /api/
+Allow: /

client/src/@types/i18next.d.ts

@@ -0,0 +1,9 @@
+import { defaultNS, resources } from '~/locales/i18n';
+
+declare module 'i18next' {
+    interface CustomTypeOptions {
+        defaultNS: typeof defaultNS;
+        resources: typeof resources.en;
+        strictKeyChecks: true
+    }
+}